diff --git a/haiku_rag_slim/haiku/rag/reranking/cohere.py b/haiku_rag_slim/haiku/rag/reranking/cohere.py
index 5dbd93d6..3d7786b6 100644
--- a/haiku_rag_slim/haiku/rag/reranking/cohere.py
+++ b/haiku_rag_slim/haiku/rag/reranking/cohere.py
@@ -12,7 +12,7 @@ except ImportError as e:
class CohereReranker(RerankerBase): # pragma: no cover
def __init__(self):
# Cohere SDK reads CO_API_KEY from environment by default
- self._client = cohere.ClientV2()
+ self._client = cohere.AsyncClientV2()
async def rerank(
self, query: str, chunks: list[Chunk], top_n: int = 10
@@ -23,7 +23,7 @@ class CohereReranker(RerankerBase): # pragma: no cover
documents = [chunk.content for chunk in chunks]
model_name = self._model or "rerank-v3.5"
- response = self._client.rerank(
+ response = await self._client.rerank(
model=model_name, query=query, documents=documents, top_n=top_n
)
diff --git a/haiku_rag_slim/haiku/rag/reranking/zeroentropy.py b/haiku_rag_slim/haiku/rag/reranking/zeroentropy.py
index 86a18443..2880b86d 100644
--- a/haiku_rag_slim/haiku/rag/reranking/zeroentropy.py
+++ b/haiku_rag_slim/haiku/rag/reranking/zeroentropy.py
@@ -1,4 +1,4 @@
-from zeroentropy import ZeroEntropy
+from zeroentropy import AsyncZeroEntropy
from haiku.rag.reranking.base import RerankerBase
from haiku.rag.store.models.chunk import Chunk
@@ -15,7 +15,7 @@ class ZeroEntropyReranker(RerankerBase): # pragma: no cover
"""
self._model = model
# Zero Entropy SDK reads ZEROENTROPY_API_KEY from environment by default
- self._client = ZeroEntropy()
+ self._client = AsyncZeroEntropy()
async def rerank(
self, query: str, chunks: list[Chunk], top_n: int = 10
@@ -38,7 +38,7 @@ class ZeroEntropyReranker(RerankerBase): # pragma: no cover
# Call Zero Entropy reranking API
model_name = self._model or "zerank-1"
- response = self._client.models.rerank(
+ response = await self._client.models.rerank(
model=model_name,
query=query,
documents=documents,
diff --git a/pyproject.toml b/pyproject.toml
index 5edb45e9..770556a1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -71,6 +71,10 @@ dev = [
"mkdocs>=1.6.1",
"mkdocs-material>=9.7.0",
"pre-commit>=4.5.0",
+ "pydantic-ai-slim[anthropic]",
+ "pydantic-ai-slim[bedrock]",
+ "pydantic-ai-slim[google]",
+ "pydantic-ai-slim[groq]",
"pyright>=1.1.407",
"pytest>=9.0.2",
"pytest-asyncio>=1.3.0",
diff --git a/tests/cassettes/test_chunk/test_chunk_repository_operations.yaml b/tests/cassettes/test_chunk/test_chunk_repository_operations.yaml
new file mode 100644
index 00000000..cd85d3be
--- /dev/null
+++ b/tests/cassettes/test_chunk/test_chunk_repository_operations.yaml
@@ -0,0 +1,120 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4851'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 858
+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '78'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - election
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
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+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
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diff --git a/tests/cassettes/test_chunk/test_chunk_repository_pagination.yaml b/tests/cassettes/test_chunk/test_chunk_repository_pagination.yaml
new file mode 100644
index 00000000..54b8ba2e
--- /dev/null
+++ b/tests/cassettes/test_chunk/test_chunk_repository_pagination.yaml
@@ -0,0 +1,80 @@
+interactions:
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 858
+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_chunk/test_chunking_pipeline.yaml b/tests/cassettes/test_chunk/test_chunking_pipeline.yaml
new file mode 100644
index 00000000..54b8ba2e
--- /dev/null
+++ b/tests/cassettes/test_chunk/test_chunking_pipeline.yaml
@@ -0,0 +1,80 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
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+ - '4851'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
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+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 858
+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_chunker/test_local_and_serve_chunkers_produce_same_output.yaml b/tests/cassettes/test_chunker/test_local_and_serve_chunkers_produce_same_output.yaml
index 6d1d3c14..2b531906 100644
--- a/tests/cassettes/test_chunker/test_local_and_serve_chunkers_produce_same_output.yaml
+++ b/tests/cassettes/test_chunker/test_local_and_serve_chunkers_produce_same_output.yaml
@@ -1,21 +1,21 @@
interactions:
- request:
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headers:
accept:
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@@ -14930,7 +14930,7 @@ interactions:
content-length:
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content-type:
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host:
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method: POST
@@ -14938,7 +14938,7 @@ interactions:
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headers:
content-length:
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+ - '1061856'
content-type:
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parsed_body:
@@ -21315,157 +21315,17 @@ interactions:
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text_content: null
errors: []
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status: success
timings: {}
status:
code: 200
message: OK
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- status:
- code: 307
- message: Temporary Redirect
-- request:
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- headers:
- accept:
- - '*/*'
- accept-encoding:
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- connection:
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- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
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- headers:
- accept-ranges:
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- access-control-allow-origin:
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- access-control-expose-headers:
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- referrer-policy:
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- vary:
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- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
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- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
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- connection:
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- content-length:
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- content-type:
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- cross-origin-opener-policy:
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- ratelimit:
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- ratelimit-policy:
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- referrer-policy:
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- vary:
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- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
-- request:
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\"},\"page_no\":1}}}\r\n--522045e2474dc239e60139fa8b38c7eb--\r\n"
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\"},\"page_no\":1}}}\r\n--82fe71e742aea4c9f2977a011ed34294--\r\n"
headers:
accept:
- '*/*'
@@ -21556,7 +21416,7 @@ interactions:
content-length:
- '1062264'
content-type:
- - multipart/form-data; boundary=522045e2474dc239e60139fa8b38c7eb
+ - multipart/form-data; boundary=82fe71e742aea4c9f2977a011ed34294
host:
- localhost:5001
method: POST
@@ -21803,7 +21663,7 @@ interactions:
kind: ExportResult
status: success
timings: {}
- processing_time: 0.6989675840000018
+ processing_time: 4.9370932940000785
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_client/test_client_ask.yaml b/tests/cassettes/test_client/test_client_ask.yaml
index 33afd0bb..98cee801 100644
--- a/tests/cassettes/test_client/test_client_ask.yaml
+++ b/tests/cassettes/test_client/test_client_ask.yaml
@@ -1,144 +1,4 @@
interactions:
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '274'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- location:
- - /api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json?%2FQwen%2FQwen3-Embedding-0.6B%2Fresolve%2Fmain%2Ftokenizer_config.json=&etag=%227345216a0785dc7086e8c245b2a9d3896ce2b756%22
- ratelimit:
- - '"resolvers";r=4986;t=51'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin, Accept
- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- age:
- - '253543'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '9706'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - '"7345216a0785dc7086e8c245b2a9d3896ce2b756"'
- ratelimit:
- - '"resolvers";r=4997;t=94'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
- - application/json; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - W/"40-09f9IAqP13xarAhQxFS2W8rvRkM"
- ratelimit:
- - '"api";r=986;t=51'
- ratelimit-policy:
- - '"fixed window";"api";q=1000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -179,6 +39,63 @@ interactions:
status:
code: 200
message: OK
+- request:
+ body: !!binary |
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+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '1307'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=mCozVqidqvTBt1g2DayKq8ombI9t7flItid4fd%2FjD%2FuxzCWRX%2FJ%2B8A2RaiZms8Btosj5mYmlsr4jYgoEnIPDu%2B5TkzrpLfdunaX%2B0BFbPLlp2gqt"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
+ status:
+ code: 200
+ message: OK
- request:
headers:
accept:
@@ -295,7 +212,7 @@ interactions:
response:
headers:
content-length:
- - '500'
+ - '482'
content-type:
- application/json
parsed_body:
@@ -304,24 +221,101 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to search.
+ reasoning: Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Python what is Python definition"}'
+ arguments: '{"limit":5,"query":"Python definition"}'
name: search_documents
- id: call_2n6q797i
+ id: call_snyo88ta
index: 0
type: function
- created: 1766759884
- id: chatcmpl-350
+ created: 1766862998
+ id: chatcmpl-511
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 36
+ completion_tokens: 32
prompt_tokens: 532
- total_tokens: 568
+ total_tokens: 564
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '2398'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=FU9znOmvL1vinIEsd7b2RUqQ01rUYjwmY39v06KsjlLZsINKwrK%2FSMQQGGJ5a0kdVF9sSY0cTX5cb3B9X7UHiqXfqhvzZ7xuELCcPThBVvNPLEm%2F"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
status:
code: 200
message: OK
@@ -334,7 +328,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '102'
+ - '87'
content-type:
- application/json
host:
@@ -343,7 +337,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - Python what is Python definition
+ - Python definition
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -354,14 +348,76 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
+ - embedding: 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index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 6
- total_tokens: 6
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ VNDyjYJZqsm9nZu8gnYtzmTV/wfevCNH9AwAAA==
+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '1567'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=trOojjczzFXOqFvhWkkr%2BrMvxMbEH3hz%2FkGJP3CvoEJw8auFEMv%2Fmzm8oMmxMcpedH4EdA%2BTkzVPk5ECNP%2ByhN6FjH2W2XXLHAn%2Bwh9lVJH7H8DG"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
status:
code: 200
message: OK
@@ -374,7 +430,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3048'
+ - '3030'
content-type:
- application/json
host:
@@ -425,22 +481,22 @@ interactions:
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Python what is Python definition"}'
+ arguments: '{"limit":5,"query":"Python definition"}'
name: search_documents
- id: call_2n6q797i
+ id: call_snyo88ta
type: function
- content: |-
- [b01d280b-1328-4b0e-8a8a-2527d410035b] (score: 0.03)
+ [498e6ed4-ac67-4752-899e-45a97bd3a0a8] (score: 0.03)
Type: text
Content:
Python is a high-level programming language.
role: tool
- tool_call_id: call_2n6q797i
+ tool_call_id: call_snyo88ta
model: gpt-oss
reasoning_effort: low
stream: false
@@ -499,7 +555,7 @@ interactions:
response:
headers:
content-length:
- - '487'
+ - '422'
content-type:
- application/json
parsed_body:
@@ -507,19 +563,94 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: '{"answer":"Python is a high‑level programming language.","cited_chunks":["b01d280b-1328-4b0e-8a8a-2527d410035b"],"confidence":0.9,"query":"What
- is Python?"}'
- reasoning: Only one result.
+ content: I cannot find enough information in the knowledge base to answer this question.
+ reasoning: Only result very low. Probably insufficient.
role: assistant
- created: 1766759886
- id: chatcmpl-741
+ created: 1766863000
+ id: chatcmpl-320
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 78
- prompt_tokens: 633
- total_tokens: 711
+ completion_tokens: 32
+ prompt_tokens: 628
+ total_tokens: 660
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '2376'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=u%2BdL5dvWixKrvXzzRkOqXalpRKpO2vLrtO1mg0NftN4VQ%2FhXvZ7%2B7v3RsAUrwkhx4rTftKfylbnqzzqNAsifN%2BkXJmwDtblzab4q25CJdU1VVTtU"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
status:
code: 200
message: OK
@@ -532,7 +663,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3421'
+ - '3338'
content-type:
- application/json
host:
@@ -583,28 +714,28 @@ interactions:
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Python what is Python definition"}'
+ arguments: '{"limit":5,"query":"Python definition"}'
name: search_documents
- id: call_2n6q797i
+ id: call_snyo88ta
type: function
- content: |-
- [b01d280b-1328-4b0e-8a8a-2527d410035b] (score: 0.03)
+ [498e6ed4-ac67-4752-899e-45a97bd3a0a8] (score: 0.03)
Type: text
Content:
Python is a high-level programming language.
role: tool
- tool_call_id: call_2n6q797i
+ tool_call_id: call_snyo88ta
- content: |-
- Only one result.
+ Only result very low. Probably insufficient.
- {"answer":"Python is a high‑level programming language.","cited_chunks":["b01d280b-1328-4b0e-8a8a-2527d410035b"],"confidence":0.9,"query":"What is Python?"}
+ I cannot find enough information in the knowledge base to answer this question.
role: assistant
- content: |-
Validation feedback:
@@ -670,7 +801,7 @@ interactions:
response:
headers:
content-length:
- - '578'
+ - '609'
content-type:
- application/json
parsed_body:
@@ -679,24 +810,25 @@ interactions:
index: 0
message:
content: ''
+ reasoning: Need to use final_result.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"Python is a high‑level programming language.","cited_chunks":["b01d280b-1328-4b0e-8a8a-2527d410035b"],"confidence":0.9,"query":"What
+ arguments: '{"answer":"I cannot find enough information in the knowledge base to answer this question.","cited_chunks":[],"confidence":0,"query":"What
is Python?"}'
name: final_result
- id: call_fqpant5d
+ id: call_l8rd7d7f
index: 0
type: function
- created: 1766759887
- id: chatcmpl-647
+ created: 1766863002
+ id: chatcmpl-578
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 69
- prompt_tokens: 728
- total_tokens: 797
+ completion_tokens: 60
+ prompt_tokens: 685
+ total_tokens: 745
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_client/test_client_async_context_manager.yaml b/tests/cassettes/test_client/test_client_async_context_manager.yaml
new file mode 100644
index 00000000..421e0f0d
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_async_context_manager.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '102'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content for context manager
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_directory.yaml b/tests/cassettes/test_client/test_client_create_document_from_directory.yaml
new file mode 100644
index 00000000..30d39ec9
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_directory.yaml
@@ -0,0 +1,85 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content of doc1
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '94'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ ```
+ print('hello')
+ ```
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 8
+ total_tokens: 8
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_directory_with_filters.yaml b/tests/cassettes/test_client/test_client_create_document_from_directory_with_filters.yaml
new file mode 100644
index 00000000..24228c81
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_directory_with_filters.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content of doc1
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content of doc2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_file_stores_docling_json.yaml b/tests/cassettes/test_client/test_client_create_document_from_file_stores_docling_json.yaml
new file mode 100644
index 00000000..9bee16d1
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_file_stores_docling_json.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '87'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test file content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_source.yaml b/tests/cassettes/test_client/test_client_create_document_from_source.yaml
new file mode 100644
index 00000000..3ce22209
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_source.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '103'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is test content from a file.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 9
+ total_tokens: 9
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_source_with_title.yaml b/tests/cassettes/test_client/test_client_create_document_from_source_with_title.yaml
new file mode 100644
index 00000000..3ce22209
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_source_with_title.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '103'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is test content from a file.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 9
+ total_tokens: 9
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_url.yaml b/tests/cassettes/test_client/test_client_create_document_from_url.yaml
new file mode 100644
index 00000000..4fe86b1d
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_url.yaml
@@ -0,0 +1,44 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '117'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Test Page
+ This is test content from a webpage.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 12
+ total_tokens: 12
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_from_url_with_different_content_types.yaml b/tests/cassettes/test_client/test_client_create_document_from_url_with_different_content_types.yaml
new file mode 100644
index 00000000..c8544a87
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_from_url_with_different_content_types.yaml
@@ -0,0 +1,85 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '145'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ ```
+ {"title": "Test JSON", "content": "This is JSON content"}
+ ```
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '108'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is plain text content from a URL.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 10
+ total_tokens: 10
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_stores_docling_json.yaml b/tests/cassettes/test_client/test_client_create_document_stores_docling_json.yaml
new file mode 100644
index 00000000..c283174a
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_stores_docling_json.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '102'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content for docling storage
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 7
+ total_tokens: 7
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_document_with_html_format.yaml b/tests/cassettes/test_client/test_client_create_document_with_html_format.yaml
new file mode 100644
index 00000000..8e0bcad6
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_document_with_html_format.yaml
@@ -0,0 +1,52 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '154'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Main Title
+ Introduction paragraph.
+ - |-
+ Main Title
+ Section Header
+ - Item 1
+ - Item 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 23
+ total_tokens: 23
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_create_update_no_op_behavior.yaml b/tests/cassettes/test_client/test_client_create_update_no_op_behavior.yaml
new file mode 100644
index 00000000..f599506d
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_create_update_no_op_behavior.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '99'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Original content for testing.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '98'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated content for testing.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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diff --git a/tests/cassettes/test_client/test_client_document_crud.yaml b/tests/cassettes/test_client/test_client_document_crud.yaml
new file mode 100644
index 00000000..2a8fcca7
--- /dev/null
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@@ -0,0 +1,120 @@
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+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 858
+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_expand_context.yaml b/tests/cassettes/test_client/test_client_expand_context.yaml
new file mode 100644
index 00000000..396e53ca
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_expand_context.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '89'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Simple test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_file_update_stores_docling_json.yaml b/tests/cassettes/test_client/test_client_file_update_stores_docling_json.yaml
new file mode 100644
index 00000000..f649e1e6
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_file_update_stores_docling_json.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Original content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Modified content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: MzD/uOyN5jzi3I887JqrvHmpO7rXQTc9P9+TPNwovLyDJno8cql4PCBKhbwd5gw9HfLMOufrhLzeUlg8Q3p5ve16br3/mis37U2EPED+o7vp2uq8oSWPu3JPZz0urK28nl4CvRjZsrwhBrm8lVGSvXAuMD3UZQa8cwmnPCStar0rQP08QNV3vAJInTuOZMK8cxqrPPI2TLzht4a7An4iuXT7izxwpv68JKUUPEPbsDtWR8u8A3MmPWaoabnUDpI8KauovIFjU7yGQcM7S4mPPBipybxijgm9xwezPIUokzuSeAg8pzM0u6gWGr0cU2C9HOVKux1NFTy28Zm8ge3DvE0dTDukJ2e8svvIPGcASztGFpc8xsRvvJxdZDzvA4Q7ri8EO98uJT0sOnI8ICENvTxqbrvJHBg907dPPVbyMTzikHw8hgbCu+stULz1UZ08JLyXPElMrDx9bjk8V3rAO86SKbzX/Za7Mi1OPMoPvLtTHIQ51cvDPArwcLseZU88TAI2vKP0Z7xPOdi8j8s6PAnw7TsCD7U6tNatPF6yIrzyK6q8VUm+vBFzu7v28Au8t05+O84yg7vGYcS5Rgx2O4TiPzwEH4S8jKikvF6ihLxvYx49HFJjPNasJzxBCOI8t4rXu1F/AT3sxSe7wmf5OxOc/Dtyb3o8T2oWPOC5FTvzjnQ8CaX4O8PtLDx8Tmi8XhnCPKkiIrxTjOy8Ckj0OYsRsjr6Lqy7vaf4uyTxkTxG5Y27daAqPOPKnjxFBGo8v4o3O6UVozqWDO47XYU9PX9d6TsDwWc8HOihPDjMYLz4OQM8HLuWu0xEWLsS/RA9YA6DvGS1GjxT5Yg8fuRLO+Pbg7wM0Ko8r2Q+vcgPBT2/QH87laEBvF+Eu7wD0Te82iGMvOjSDr0Y/Ye8zcF3vN095Tt1xVW8NilUvI9c0Lsx/MO8KbtSPBGSVbyWbag8s7wvvBRiBzy8Tiw8rNxEvI5tLTzOwt+6n+PXO6bzPDycXaw8c+x8PLbubLtOt1C8kSuBvMf4FzoOJ/S8NQRAvDd7sLzjzYU8bxORvK+Y8jxGUuw7w3auu1kckT37H2G8ANOJPLyWfrz1JbQ8SIVIvCRjjDxjKPi8PKozPE6NY7zdOBy8UUI8PG/idLv2yyc8Sm/PvIvmH7zFHIQ8TVFBPRVGejzs6Je5X+30vKvmHDwxGyS9F16wPCH+Abuxxju8r+Z/PKE7qbuQ0Q09KmrNPDSTS7xnEH68u1P+O+bFRrvAJJk8cpzEOV2/TLwMqY4817+ivM5cBLvlQDI8dmBnPCcPgzn7Hbq7TLRyPAHahrxdtKe6zM/YvJREC7xBxAi7MmcjPKvhE7ldhJ68pETcO8ea1DqBm3C84vbGO0dYfzxezNG6qEejOxgvqLwpWgC827IYvCcg3rylAOQ8VCaBOxCQJjws7CC9x8hZPfcljLzJqMQ6ZHx5PMsHjjy2Q2S8b6OEu44lkTwKMhg89inaPHqtIbzJBNQ7rduEvLY2iLoGqVU821ePvI9kyzyJfrE8lEPMvD9BVDrviIs8RQdpvesW6zzuGo27BD+rOvS9uLz5/a470NDbOnjlvbuJUey6soesvAoFibzwpQi9J2ikuzJIYjwSVeI8TufCPJZ5ED2LZgK7r/wpPXqJ57u20XO7qfY8PEb8fbyzBoi8gMlIvZi0TzzIU0q87Gi4vIPAAb1LM767TZoxvT/fXrzus6W8uUSSOyPfALwFT4Y8uVM0PLrUpbt1yfq5xDo0vRX0Iz0DxOy8vhj0um4frjxqLRW8dC4kPK0cGT16/bc7YUG1O8KiGjwEXXC8ONgdu1tL/LtRUh+9CAfYOqHzjz3wZCw41mIAvFfks7sOIM48aq2PvHmyA701QwW9m6YsuwSW4zx1ezK9PA1NPCentzy75yq8/VlPvBL5RDpGP/07LUzePDCrqLyVjz47UkVKvJkyOD3jsSa6Xyf/vLEgUzw8xwY9iKpyPNUNwjsiAJc8zU4XPFQ0rTwEqx88v+FFuz1WIDwu5gk9KscSu3mm6btf6Bg9EJSUu9ePiTy+vEe8ZNtJPYidDz1tG9g8PsIIvI4vKrw5j007p4U3u6eIWzzThMA8v5qpPMdg6DwSbK883hQJvM4P17w1cAe9p1SXvOCroLwJAVK8Kz4DvDGLLjxrK4E9ALkgPaHgrrwti868PtqEO+XcnzuluzS8f7IcvLquxDwXn/Q7aUgUvQhiE71BJRc8u3L/OwnZnrxcr2m8djKgOld2c7yOeLc8UEeAu2BZ2jxuDx+7LhAIPf8GQrveeaE8bVr7vEuVMD3ICbC8aM8LPdWF5rvtVUa8OlYJPOcDg7waNIW76eMQvZ07/ruG8ME8rdbbvOX+OzwAOD88BX2ePDRJtrxIKzk8qxyEvJ00a7tO25A7g14HPARq0ry8WFY8CJ2DuhMdvryYacK7dUkrPEHtzL0wp6Y8v1hIPUQCcLxnaBm8iiGQvPl0d7t2me67kbtLvNWH6DwLriu8cYFovPC+gLwWHBo9me4BPPUUB7t7TR4728/Vu2hvHzyeKW66FUOdPaQqUrw8Nx89FHA/O7FnjTxXJwQ9JF0KPYHUjTxSQA+8cCFNO2jZ9rgSSOc8HSTxOxyopbvoYC27nXjlvIsq8TtEVou8xSp1vHoYwzwCg607EoSYPC8cCr3ZRXA81vQ8vM6hqzxcDo87idIJvecn5Luu7NM8JtsOPIWK2rxI9AO9NBUOvU6IvTxGfBy8oqQDvI6HEL34wjK8oAwku9WoeLzEBHc8EXCoPLzlbbun7ke8u16kPBBTBD2NQTs9eUOcvNdQvDzPt9W8gVaMPOT1ATydeaY66mbvvAqjbLyC6D+7Cb4nPeNMBrzBkAq8ajopvC1hsrskgYw77F+ivJp30Dw7ATm9piqHvC9HLrv1CcY7Tf07PCSIpDvbv6e7bDwTvHavqLyzyLe7MZ6hPFuu2zy0Xgu7XeLGOetk7zq0vYo7hDCavEclIz1nT5Q8JHjvuo8xjTt+9OW8kzcvPeV/MLzcwXu6Ik4rO1o+PDxMhMQ6LfIyPLIZELyrzBm97AOsvEkFI72CMKu8VzLLO8LXbrzahdA8LcIkvAeiJrxnDmk8xoeDPEfjPjzih6e83HjhOpmfNDmqjT69OQXOOdJhjjxqkLy8EHnQOdDvOL0lmtS8+qK9vFNFlLtoxkg8ri4ZPRV0F73COhK9k12yPOnqBry3rC25A91tO5Gqrzx6xwO9xrgKO80iujo+seM7lXN0vADFFrt9cSK8Tk8bvflZM7wir5S8kWTKO/NZkzz98je80sAoPIrzpTxGZ/S7kyXcu9nNLL2b+sM7QlMLOgGppDzp/cQ8DUhFvOhN+boyydM8FK/qul6+rDtpxSS6e/a7vU14jDyCOKo7IBQsvfAvzjv/OQY97cG5PLOMd7trY6q7sGXQO0H/Jb0wqaK81Dd1Ox25vzwyqCq9td77PLqKbLumYie8Jku+O07UmLwoZ5k8FBgcvRERhrrqy4w84NICvJuxtryoH408Gx8WvIF59rx6Jqg7TKyGvdYpLjsG11k9MZJvOfennDscURk92dF8PNZF0Dt5Jhs84qsJvTw01TvLL0Y6edV3PKScGrstmCo8zXmUPKfNIz2c0qa8jA+JPLoQ4TxErak7LHFCO6hn0Tx5uM48WLqlPEzHDrwGjAo9iH8QPcVufTxnZhu7k0yfOrgWfLrfu5S84SBsvGpIv7spaeO7TKZHPEa+rzuUxaa8YstqPB4kw7wzOr07I50JPOmLNT21LZm7MfzSvMaAD7yYzJ681TW4O9EW6ruwbAi8EBtFPA9vYbxPmDC7aCaiu4HuuLteV4+8cCO1vE6/LLtAR4U8V5JhPLQoLztdJkk774/QPLjJTzz1ZHa8RDSjOtW9Jz0tFpS8l9iAOoPyJLyqLqu7kzu2vBMa1ru0km28PLKbPKEqkDx/Ga886bjLvFH0bzyPtCi8w0ylvLrliDx/QOK8bxJEPIK2Yz1I2fA8b+/Tt/eJJrx+pQA9EXvuPFGTJz28ANo8r2/fu4jufDzL+Ba87ldAuysK8bwYSlS8ooR1PBPVpDxW12S85DSIOx4ZbDxIRzY8hpRCPQFA7TxZC7s8WroNPSPNlLs4OJu8IyufvGpjCjxrdQK5izaOO2OMZzt3hJ+7c3mkPJCX47y8NfA6qiEovT9B2bzIWP+82mTiuzxbAD3A6WW8eEjWOY22mTkiBmQ84zKiPGx/BL3Vf886J4Awvfqdj7wH2+G6AQnevGMuY7wsbN08JT1jPNmGAD1Yxfg8mzqnO1aiTDzHhHQ7f0G2PAHogbwC21y7Pm0hPIVMgTxU/7+8SQzHPJMYubwNElc8JrpKPMLQWbsHeD897CqjvHWQBDzzaLs7/YYdOrCbcz1kZqE7N3Lou0bP87rmI467ZPe2PCy0gTyajBY89V8jvEvl1bsOSKA7ErS0vG4xJ71OG9K6FIjOPNZ7ErwoJuc8WwalvOb+2bwOpxY7nzWQvGIvTDsTo3u8eGdbuzG8eDy2qyI9SYKxPN7ZVzz6UeW8Zq7VPKaaaT01/Aa8VUj6PJfzKjwY/ls82OhkvQsJObxaCO+7wOClOnAu8bx9IjU6ClS0vKUR6zx39hm9iQtJOyp4KrysLdo7dYyeuyFSGz2ER7E7L67WvBV0ubygXJm7hthdO6c/YTtgXMM7xqUGPaiZObxGy608mE2JO4FrNLzylYg8x2fJvIh9CjlJuA29ny76PKakSzzbKRk8BIvvO5z3BDwYWOS8Bi6kvFnCwTzS0PC85fxBPLLC0TwKkUW8XUfVurUpGzy4BZ+6y2vOu6xa27je5si2RyVcvCsevLxAKAO9PVqUPFoAHjyTA0C9LxBmvBvC9bsMwSM8TPsdu0TPTjuUZrI8/4+au5PVab1tMiO8vaTXPGkC2rxfRya8pC96PFMij7zj1eC8ddkmvM6MQzxzc0+6PFnDO73YGb3bus87nHWZusEgUDy+wLI8L0wivXXiBDzM1RC8PLtdvEOFFT20dL26xJeHO6UJFjyveN07MiGlPPNnwTyTFs06pipavOqm97x2F148kW2tOxzh9LyGyCY8tW6uumZEgTydvAs7dXWguyVLPzxrNG27C3s5O8qHGT2oUbI8BgW+OzLiw7pHl+Y7ttOVvLgyOry0th88SxupvAlo0bsEAo+88TAZu+xnnbscpiA9S0j9PIjIgDy2hrO8uxPRu2vGizw4fie9CYWgPDasvDtzeB28qlSXvNR5UjvKDPi8zJ5fvBA+gDzleBu8Nn6PO9+nTLx8Krw89POEvBAYZTxG36072Uj9u5jZE73MY587F30pPerq5Lx3cnK8/UuDvSlArzyGY7s7KSbBPOEjTbx9BPa7Da09vEhjt7tK2XW8c90IveK2Gz0HTVI8AHQlPX0RXLxoYZy7DpOuvDossTvQSza8vbcTPIDHfrmIa+G7TM9TPA4mODwtiza8Fj2VPE0pYDxZRYY8a5OZO8ysrTyxabE8mMCqvNw1VrzxgT27sc0rPPNz3zujBo68+46MtzSN+7scmny88x4rvNYnYjylvUg7gI0BPDKPRLwJEo88W2WQO/q+KjwmB7I8uxdpvOq227zev7A8xaj/O2aNpLpZAeU7rtOtPFHy+TvzLQy9WC/VuzjCw7xdgYQ8lQQau2f/sbtQED87RYXhu8dbSjyLwuw7QNQdPIY/YDwb+lA8EyXHO0ExsbvfR+G7pX1hPHsnJ70vsoy8WQqXvF2shzzElaS8G7YDPNAhiLw7Lg+9SgLAO1jb07q/Rf28QNBjPE7NGjxb5V68+DzDvBEHhjx0XkA9BA6HvLUvuLyL2ms8VQ0aPE9ThbxCHvo7UD6su/jBazxpnQk8DmglvFpatbwKtmu6lAtsPYDdZTz6QvY8TJURvbH8PzxW5Sa8Vk5IPBPBEjq8yKq7HH64vE7e6jxX5As7u1n2vAhUOTwYCsg786sSvOT+2zxKjj85FMSiPK84Bzzs4dm8yZxUvIMEqTyXJ5a7OLHuPKk5vjuhbJs8eqAGPWOOajybfAW9hASbOVoMoTypL0y6/dSHOyNrG7rx4k28Wnq0vO2SsjvU5DQ9FAPPOhoPCz1+Eru7TF0qO1oDp7ymDrQ835KVu2qurzlRScQ7udxJvFRdCD3SOOM8PHzYvL6JL7uWi5E7B/IDOhR9HTx/M8O8KDu4vAt8rzxwj6K8zdSEvFg6gbtxDh+7ht3PvF01obxX6c07NGSDvO/Dujw709K756cSPV/b0Ltary074KCZvBAjIryivuk7dUzGO5mUarwuysu8GQiXOB/Qajzn3no81/oWO9cWBzw6GA89azWFvJVZhTygM0O8SgmuPLXQtbsPNZ+7Mf7cu9Cx5byJBQ+93RiOvL+hB71Ppn28+NmAPITCJbywtdu5tQGQPC0iyTzQON27V7/jPG88cLqqv4+889ufu8KwDz158A67CDJfPDZ2V7xzaA69/tTKPFvfxDvFSBu8g3MavP8LzTtt8Ga8bOQoPGTOqDv2ddk7uKPxPLhYAz3DkIk6dPgCvMaF2zxqJA09klqwPKytibyyg/88SZTDvLZADbzGdrI6nfu+u/NWGT2hC4A79f+6ufBSgDxT4S09y7omPf57prwKbzg8d662NzZnGzziJz681J6CvO+um7zvTsC8OTyWvEt0pTwto1k8yeGevDX0orsxSuI8/k0QvHPcgbztZA88CgqyuxkYhLvgh9u89mSAPJmeFTnzu9Q8qVJbuxXl4DwBPfU70wiPu2jA3ztL4JG8O2mWuysUODzBke685f0LvHBuZTxSCO28pNgAPGtyrjyC7Ag92UBkPPU1OryXNsW8BqPyugA0lrwfkBa9vT6fPHUgyTz9tW28pgQPu+R4jjsBSh+9X88vPdd/sbtwmmA8ltELOwtCLTvq6mY8CQt1PCyKGjthMxS8QIDluzzRyDx174A8KZIDvQ6RcTuGAI08WnYZvIv7zriRJIc8X2i9u0VsC7yQAw689g13vCMKmryMRWq7KKFyvKWTVbwkeku8BwVyuyJr+jsU6wE8OhRIO+YMo7zn43g8WwJvvFInvbwE1DQ9ubuKuKTHFrxS/hc6gP7ivNqcWTyctQo926PDPL5ggrymVxG8AQcpvWHPlryCdo675kvjOzXxRjzt2x+9RiJSvHyPGDx8gwu9ttI4u+T7ibzBh9S8qkYJPGoIETwAlEI8QLlsPD5sqTsOcNQ6GVtFPGLurjzj1l67BZm1PMz0jDwgywQ8R/AhPRODijxoY3q7PRtCvBBNoTwVTlK8Hq4cPcnBurvdQDG8b3EaPZsseruQ4Ss8ErbPu7/8o7sV+hC9o2VoO1m947wQYIe77hf0u38DzLgYSGc8Ge14vEot5Ttr0FQ8wmKJPGF5LTtCQio7Jjf/vCFtCj0zXs47ccBTvG537TxXuZC8p/0xvI754zwrWaG70ZStPAkp8LxxZJY70jISPAdyUbxsOlI8YBkCPNO4vLzFyTS9sNWnvKUfeT2Tmw28DzIgvF+lDzyMLoQ8tuwvPPbKj7x2dGI7UKB7vNBufjwy5LQ7FO3ZvJKPHLyROi+8CMrBvFfyHD2Q6cU8qqUhvHoAtrxBx4e6YGOnvHNvjTsDtb+77nnhPEH9uLvNWEs8uFpdPMY48DxMkLI89F+dvKbuUTsu/Zo7L3MfvD4/dbyzDFC8i7MWvR2RdLz278i8C4T3Oi/5x7zE/bo71ygFvMTgsTyV/Tw8u+DGPJ3Oyjz7/Qq8tn6Pu5ArizxT8yO8w2wmPV10j7vctCA88oHvPImm6byEaIC831fwOrRtbjtH98e8QIW/vEogcrweVI486WAAPFMiCj0Fxwm8kzHEPKK6Bbyf420844DGvOt7ODyssWI8IwakPKUsHLxpXgi9vz8HPKIvHLzwxwO9GLLBu5h2Vzszahk8cr7wvIc2kDx6PAS88R8aPSrMlbsNP1y82km6vFYrn7zLkjK8SgXYO1rwg7whjFG8Q6I1O1ecszv0fYy8BUXiPFtZr7wpCrO7S0/lO+9kBjvOPPq7j+BtO6APuzvgkd+8ahLEOwIHlbqHQkC83VMcu8jAeTtRSMA7w9w1vMgQhLs8MnO8lT3BO0KIkbxDL6I8EqZgPKbAAj20vpw4yiOjPGfV37wHoZM8yiQ6u5qPIL3LqoU8s+zkvNyPbrvI38y7xHKCvKUtFTyL4I47BIaSO+AaPDu/Fd88VXKfOoc3szsufkA9mwmTvExXxLoc2ve8pLmZu1kxhDtTiSs8lEipvDhnVDzIE1g9tSiAO+xGXbzC8Ag7AGujuxoOXD23kGe8wvgoPDi/jzvTguq8ebSEPFdKKDzkI568qNuqvFTbqLwBRac8BoZ3OGzNxDz6ARe84F9CurSHMzyhS/y78AGqOn7vID0PiwW7LwEFvOEBK7zNBRW9UimAPDhkODzVXZO7eUAnPNjqu7sSjxq85vRbvBihNjuts1086HrnOz8i5Lvtkja7ePI8vAQIprgDlF09noHFusxN/bs66Z68HmSIugrFzjxnhdm86QWDPEqmLbwECTm9fJVevIsTtbqB+Lk83X36vAgsA71WmuQ6gtHnPAhRHjwTGCW9s16/PPjFXzzzDsE8Z2yEPKMgXrx9Zc67Q2Xuu2xatbsWo9k8pMgBPG+AX7zF5sw7ATdjvOWW5TyaDcu8ZAbQPL429ztHS5i8MhD4u0AjxbzagbM80jHyO7ro4jzxYL48/n+QvM7F7DyAbLi8H76eu1JJjbweyoE6F7mRulxDXTyo9mw8SNBSPEAEtTt14xw871PgOcxCLjzIW9g7xyKzu57S9DtF2P4741hxuybBvDt5hmq8TvKzPHsmhDzs9b284nb4uXQykruMkZQ802cnPKm+ejzJDFQ8pDfEvNadozx6JZU8NgqpuuO+MrwsSTO8qnwzPSeVIb0DRoa78w23u+euwbxd8Iu8JTm9PHsLnLx7t3S9VfJwvCfQezt5JKU7gp4NOqOL0zubmqc8QXrVulNS2TxCySW7dIztu+9XBj0URRe91CkMvWzI9zwSWVq88nUVPIy7KTylQ5+83WBaPDQYgDuht8K8wAADvVC7ybyPupU8cDy8OsyENzuhk927ssU0vd1hArvLZPg8o/IsvB+yhztC+NU8lzSQO6JRMj3oORM9dZhSvBuR1Lwy9uw8zXjzuxSq1jzKxvI8bbSbPLnWjDyRB3Q7GJcFPE5ytjwmZHm86FG6O6lmpLyVxdG8NFskvHo+ZbzllWi8P9uAvBUyzzyU8LE7r/b/u7SvYDklXhG8mJQqPO2ifTzvuKu6D92cO5ETprzUr2g8H6X5vMy+kLzGETS8DU9HPFQXmTyzXRS72NMEvO9SVTzqOI08OZKHvIPpZLvgtXC8VB2EvCz2l7zLg/m8L8vnPB2zM7w/WYe62SPYu4ptiDzk+1w7jMPePEj1rjxPwQ48JUETvEfxAz1qBB46l5/aO/ZN+jsYM2m8QubuvMAAyTx5+Qo9tx7LO320bbw5a148DV+Xu+egf7yAPWw71MtUO06ajTtFNcy8fo/1uCrzFD1cwtO8Ec+bPECukLwSmCk8j3Lvulu1lbxdx428PSPBvDNcBz1AQAQ9vSwuvBLt17oqRpC7GLQ3vIBEJzz7tCM9yhcCvdoUFTx515c67lTQPLC6b7vavhU6JNhWvFFni7uGUi6879B6u7UwgbuOaau8ldq2vO3QQLzmBYA8uFS6uv1Xs7n7wB85UUkWvRem4DsOkUW9SAeDvOOHqzyk/W+8ugFgvH3XDr1WGDa7Ea9nvMtecbyiNoI8iliavN9xrjxVsiG8LAw+PB+CkryYTg88VLXbuyVNljxmWPw6Zt3VvD86a7wSoUy8ZfvaO0xTcDyMEiS7BNIIPSIr2zvk0YE8O4fhuyQFETsdz4m8/5uEO8t4Y7ykFGQ8VQCqPO4ctrucuQC9HZUPu6WsDD2Hd+m8yVpIOy/YjLuDNVS8x2i0PMO76Tw0B027wccKPNULJTyH28C7qb1vO9z447tYPcY89LHpPM8bQLzDmhu81gIZPfbryLpekzW89k+dvG6wODyDDYo80EkSPAyQmzwJnAC9zCjEPIOEijyQhZy8DRSLO4uv/buNSkO8sfAyvVKL0zvCLSi8CRtqPKC69LxVUBe9UQZAvVi7+Du3Znw7lY1iPIbkA7szWjK7AJBuumwpwjxhOrA7iEZFO+VwiDv3sYE6T05NOudxhzxQObc8Dyr7vATFXDyVkxM9qoUAu/44Z7t0Twi8M4MTvPuPPbykRZe53hxlPEDQLzy8x9+84EuVPPEHTTwYkcc7CLPAO3oURzyXu7o78C58PJwS2bvA7Z27QptlPIFoKL0qZVY42xeMvEvUkLyUmQa8351uvMf6qbwzRSk73iYvPK1Y1jyhJEU8Tt4svE5lqbzitGs8IYAWvFBgKjytpeu8zXSEvbAalrw7m1281OgJvAJ7GT3bRhq9RvTDPL7JSLxS6FM8NSXsPCyy87k5Htm7Q65XPNnp2jw+O167qa0ivJPLjLw0JWy9psx0Pc+BKDyk2r06TgR4O6DnID3aNNs6JFtju+oj0btZNgi8Th7oPLIaFrwtA+e8wLp4vM8yOj0Hlgk9++QqvDoWUjxQTMc8ovI/uwi4XDwYpm28enhYPDq72Dy2C0Q8lYRHPNdBXrytVxS9YtTtvPhc77w7w9K8H6IwPDMEgLyhIaw8xmEuPJy6+7xXkoY7TFSrPJQCt7xLDYO8FuiuO9eCibs1VT+7zLqFPM2WJzwbAKc8TOGCuywThDsGoX46vRmlvP5PH7vejdo7oIJsvPHRzTuAVBY8fw41PNe8hrwI5528/SlUvPCuPzvAP5E7ahGiO4P5b7sbUaA8RRyyPO0IHjod4TC8R8xUOxvrnLyLE6m7PrntPLWeArzMJog65DLquwILrDwkXCq9Og7dvL4BGD3K9NY5ImgXO4AuuTw4V8W81rKKPK2eDD1aa9u8Sa+jvBUfOrujh4o8BGggvERGxTzaaUW6XQAqu+jf2zsPGwe803TYO2BbujuldyK8Fyp1vEY+g7zyePS88gIXvHwrgLzcg4y8Lj5iPKGjQjwd2nK8KHkgvDcxBz3WwIe6g6+wvIjjf7xfpWK6CpsMPOEvizwMDNq7gELHOoHiHz2NYEa8DoYwPHf+kbvKQPm8UCJnO54POz1YFLa6wpqZvFnCtzpXrMO8GWkXPWUOSDufj0o8Tt71uy5717whP7G73xWlPIePFT33ib07NVozvZyh0DsGmSy8wR1uOivROj25xF08qLgnvC12Zbxi3bQ8a6XTPEz0WTy/iaG8VpHSODwSEb2ABB+9wrvzvBu1ZLvhdvs8vmSavAHj7zyi+EW8qFkkPf3yJDyRKKe6ponauoIrqDzkwpW5Z8lXvILFjTveNV48GSeJuvtJeDzVOxQ7Jn+LPLv/PzwUU1685gjRPITKC73um1q80gVMPPAaF71IPqc8ehzhO+n1mbwu8Bg6MH7cPDv0ADwYmlo72xIxvNPZF7s27K+85A2rvI5X1Lz3CkA5rRMbvQ0tqTqEWnO7cLrlPAHMwzqJfpI81oaLvGwZjDtQBmW8E6ETvbFZPbu/DYG8EPSEuvSsHjyrekk77bAVvANPorrCGQ06aqwrvMbPZD1CUBQ9kvOWPIJntbzzsys9PQjPvMoiUjyLWvc8M0t+uxGRqbwuBza9zQaCu0/44LzHygc9twMEvIlsJzwCkg08iDGiO1vTJz1qasu8yJ3Au4DufbxlNeO8k8S6OgJz7LydZ/s8SWPPO275YTtGMSM8datgvE6FTLvvIc07iB6jPM2ESbzpywU8UL4PPCslXrx+Zoq7uKEXvE2MiTxQN5o8VXEtPFHdxroP1q46HOzHvAnEp7voH6c81apXPZt/vLxwMC48ca94vH8s3DxO/Ou72R2wOzYjSr21J9c7/CAHO6+kt7wvcKk42pkVvcpXRryf1W+808XQvHdlAr0e+jy8vy2IPEPZFDy7Tuw8pUzGvLHhgbtXNfA8PcPaO9iFgDxMYNC7SAjqPJAx9zx7mTO8ZvJau0jUn7rS4UW8I8oRvF47Ar3mhpe7vGH/O0CyGbzdCVw8qlU9PeJqTz34DWo7QstwPIgOHzwSLpC794PNPKIgjTu2x5a7qmuZOSU+/7yr3CW9gy12O9hilzxc6sy8tvepuKbaazxIamo8qDvnuxnF1DsDCSQ8SS6fvOQYQDvJDvo648iNvA8n5bsUVQ+8lNR9PH8a3DuWOmI8Zha/O7Q9oDxZm1O85gOYO3luL73GyfM8g4IrvG+SHjs/eQU8195MvB+w8rzb5II86v9zvHwCnjyXZm08bcluvO5Gwrs/GQQ8STBlPFukuzyuq6a82N2kvGbn0zw09yk7bJ1IvIE1jbwgRS28bQ/NvEqbXDxUbZC8cHMnvVusBD2LKha7NA6ku53crrtzcqE8NrIqO3IqCTxGMiM8mPj5u9NNsDoa5487HGQ8vD/mHLwQegK8jJGAPEqERrwQmCa8vPY0PKYxbzxyymI7Md9wvJSjqzuKV8c8K2y1PM4W+zssGgq8hQS0PLNp5Tu4laU7N/XpPBrcbLsyTYA84NDEPK02sztGtcm7JviLvJyf4LzMe7y8L9s5Pa7TFLxQB108jpLxOx2lGztqtbM7rkqjPC1h1TzTeJw8wt+TOlLh8Tuqj92650SVvKghyjzFg5W86XStvIm2Sjx2cVe8yeZYPFL1wTuugMg8iqehPD7RybtVCpM7L9ktvEQzmTwq+Uy65GNLO26baTzDNLO7fB/TO7alLrxK0ug77MMqvQ60bzx2AzE821lUPD+CsTxSCXa83hxGvEGFkLyax5G8JRWvvAmAkjzNG3I843wcvcu0nbwyaoG1Ac+OPGTGWbuj2Eg7TkopvHOQ7bzvJMI7sEekvNjU4jzWqvW7vhf9PPNlSbzwrv8826x7vJ90Eb15Aiq8wqSvPJHlHb3bwDk8sDOmOpUTJD0MFcW84ZImvN1NUztQKBI8+h2YPGYAg7y3hyE8jIgCPMDV9jy8g+K8lY1RvAZy7jsCRlc8wJY0PCPHqLy6q548oHqEvDRWnTwBoMw8+WrOux9PjTs1sQY9Wa2ru0R+aDsWUqU8dprZu2BSZTwl7fM7UdmjuW4w3jxZ3KY8KkRpPPBdWLzpyGi8wZ+XPKZe6LpfrgS9rc3kPDFeHzzrZt47rQiiPM5F6Lvk8ZW7jjA9PKpen7sJVRA8xHqUvGVv8ru7ir26TqyAOxRBVjzI/NU8Hq3KOxo3rDwOEcU6qrykvCGhZzzNYbW8Ntblu5m8FLpChou7LY4oO0qt4DzoiKQ7cEDZvKEwjTyCNHa8xnJvPFJvKL3v/pe89tN4PEO+pzkNDxA8Tfuqu09xZrs1Jmu8H/oRuwtT9roMmTS8L8eEPOZ+5bsDz3Y8KrR+vKkYArwiG9Q7qHrhO/yswLxKh727f90qOp/uUTzdhBK994A7uxASIbyv4SG91ImTuSkJ/zs/E0y7sOLhvO5+vLzpK348di6cPFZovrsUEJ08g5+XPLXdAbs1aKM7ZwJrvJziBLz2xT28NanXvAdCO7xI8I48AfjeOcp1lLryePE6P5QDvH+eo7yt05i8PveDvA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_import_document_stores_docling_data.yaml b/tests/cassettes/test_client/test_client_import_document_stores_docling_data.yaml
new file mode 100644
index 00000000..4a33c1d3
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_import_document_stores_docling_data.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '83'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Chunk content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_import_document_with_custom_chunks.yaml b/tests/cassettes/test_client/test_client_import_document_with_custom_chunks.yaml
new file mode 100644
index 00000000..b64b6866
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_import_document_with_custom_chunks.yaml
@@ -0,0 +1,46 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '119'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is the first chunk
+ - This is the third chunk
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 12
+ total_tokens: 12
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_metadata_content_type_and_md5.yaml b/tests/cassettes/test_client/test_client_metadata_content_type_and_md5.yaml
new file mode 100644
index 00000000..28e4b01d
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_metadata_content_type_and_md5.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '103'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content for MD5 calculation.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 8
+ total_tokens: 8
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '103'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content for MD5 calculation.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: hrUGufT347xSKic92PItPII4TLmTSIY9dNuxPHBsmTsmeD88acy+OxZobTuRREc7taKeO9F6p7x/s5S7rgBHvcwQV72TBU28IfW/PCviLDu6Kqy8TXouPZjhvzw4+wm9G9mGvcOwrbqRtsW878Liu3T9ZD0p9Se8jxpGusp97ry0Iv4859Hxu+d0bDvRAcK81NjSvEfpQLwxj4U7Y8CVvGapg7w9jUu8A0wOvIzRbzyP0b680nFzvMd04TvhJUk6map1vPtztLwUec+7IgaDPCFGQjzWfum8giALPZuvzjuQ1o27ZzwCO6G0pbzUNI686YL+uWNseDqAdWG8ZjXnu1nx2Ls7UGa8ci21PFuVBD2NLaY8WeCCvL1vvzxystA71u9svHWvND2nVAa8kcEfvWFJyrv6br48RTavu76hVjz5/pQ8uxEFvD7PkLyi/Wc97XajPEwx27sqLrk8BpQ1PK5aAbskcNg53X3DO5Te8zx62mY89jy5O31zS7tpan48EluPO14fWbzFxIy7OOwHPPTb4TzChVo8mYihu21IiDyTGYA6wON0vPghMry0RJ88esGOOyI5Vzz0h328Kp7dPKlSTzwI54g7kZ7SvHcMmrzBd+e7ONd8PWAAFD2XY0o9G4BJvC1thDy1Eri7vtDTvLrCyztX2OU7+LhsOtr+4LvIDAg7TD0FvCvPMLxGPI+87ZqhvJATgrzvCy+9NXsdvH+RnryU5pi8MWD0u1sOVDz9AfC7HGvFu9gtwTyv9EW7sQesO8OZSTzOibu68UfLPKDtOzyknxk8fJEbvGwGL7tpuzM8Ojd5u9oMgLpMpwg9ftsvvGLyqDy524W8YWxqPOzGrDojzSs7HfUnvdlCxjx3Yo+74ohAvBJmwrzV2YA83GB8u1Vb4bwUewG8D2AxvPS/t7s0hPE6oPYqvGwDsrtN16i8DWijPGArELyLx0g94Q6fvJQaYDt7vG+8uxUwvMWBBD04pxA8EysRvJSeiLuZHpi5XmCruRZmujtXP4s874QHPCiCbzw2w8a6y+jvvKXZErw1fqg7oauNOXHV1Dw8LYI8vM7cum9F3jyWs4M8jBmXu4QWA7xX7r67n64TvDf7tzw+SgW9IgmmPIWHVjwTNlK8rcpavJES27tuGYs8Yg3su8tnBryleoU8R4QeO9exW7wlwLM7Zu09vD/PMjxYt8u8LAztO2IaVbxst8+8ELCsu0pltbwODI881BJ4PG9ikLvRQYu7HJH7uqwJFDslkPk7in+FPC0YZryIxMW8C4uoPKa0C7yhpIY8VA9YPKJHhDzZsJS81Z0WPBNqqrvkOkQ8KICMvPJcObvfSjk8BI8TvL/VSbxkznO8RR37Oz5YFjyuCOA5tzN+O1HI4DsmbNm6bwOQuki+dbsDymY8lzIcvDaxhrwkBqI8WwAsurXR3zvZEA69xB5FPNOsxLzaX1W7ckQtOzkQKrzRKAG9X5S4uzCNW7yppEA8YOIaPbvTfbz2FJI756w5u8TAxjstZcG7vwhmO8HcyjwejdG7Mc2rvE59VTuIYgo8+ERhO/6jgbo3Xjw7QBv5O4eXAD3VlfM8F54SPGZ8tboNjKk7cL2YPLI6R7wqHT+77rZnuQ0qOjtFlmS7weg4PPz1M7snijy60bamu8njyTuCsmM8HsZ3uwMGwLx7Diq8zdowPLhGljuN75q8P8axvBhye7yxMJy8PiGTvINbnryUC1u8iVbyvD3J8Tj2LVU8l1YoO05iZrxtiqo5iObUvERhwjwR5jC9blQWvJEovrwO7BI8J9W8PImyrzzTrpY7da/Wu/93JLyAFbm8QCxzPLgvnjz5wMW8e/e3vBRZsTyFrNC6/Nn+uwBHMLy+9CG9p54LvDufBb25Hqe86UnjOgd7Mj3bQi28QwM9PC4b0rlMvY+7lEscPA1MF7zrvl+8aLp9O0bRtbzcpH+81+E+vLEcFD0p12287TPavHiohryyjk68Jva2PKkE6Tya1OA74FQ8vCkcAT3PIrk84Casuztqyjymq7Y8tmJpPBnsiDymSDg8yd52vGho2zv1P8K8LKHIvA2T3DvwYd88ge1iu6nuHLxGRGs8R43UvHh6rjyuJy08Lg+lO3TA7DwUsm89/qCuO/RakbtTpJw872P+vOVfGT16ad68UYmbOVks0bt7Wn883e+3PDbkqLsGZpg8lmYsPG4hyrsUFB69KwCEvAQfz7tu15e8gZK0O0ZDTrx3eQY833aNOuEyNbmWeE+8OmuPvFeKzjuhSAg87E//u/ukDD1ylE28qJJzPOzPRLvCxiQ8DY8RPMlSZjzsax29YuwGPXpwpDtm6Lc7QyBFO1jUf7xnxv46hUXhvLJZFLwLn4Q8PQ5rvCfYNTyt3jw9LYqUPC7QFDwae9k8uVK3vFfXAb3NZ4S8K3lAPOz7ibxw8Bw8bdIPPKB2B7z/8Q286uuDvLRfd72PgSC7A6lJvA5nuLxXmLi8m3fBvLbTrrohoMe8Dok3PInxGz3//v47yjWbvFuWHTyGAke7aDZRvIu1LzySPbO6dE62PNUZNzwYeU88It4JPVEFgrwLTDg9AOOLPC8HurxGoRI9zMI2PKhwITu3di+819jYPAbEnzr9kJU8U1EKPN8DV7yTy728HINUO5MQgTz4mI68qsTzOibFuzzjzKs80axgPJihwbz2AFk81+4euqhXJr2vgSU9iUF9vEL+RrwKvDo9PtzBO5wBdzxAlui8OIICvTd4HTpa4Km6hi6kvO6S1rzYhrI7HVogvB8blbzEf2E8Jl7mPFkMFLzDApy8sloHPVAyLDwDjSk8Qn5YvYnNEztOt8867S7nPL+eyjya2zU7OcczvDL7DL1HHOM7qCyiu+zt/Tw2wsC8bEWjvNXoFbzVjxy8kAElvBC+P7xhbjq9Nv3KvGQbvDxEgVW9VSzBPOtcBjydRSg8dXQKvKxO7bv/XKs6ZuwWPcyqqzzL1Ai9eDnhPDlORDxZAtk7ZNQsvN4mST0wM1I9imkwPTh+xLvnHUi9oAuWPIGBi7ybeXS8b1biPMlR9jvytKc7LvGQPGrlqzytiqg5pVw0u73bLb3A69c7k6iZvDcxFrztLDs8EqW4vPAZgrwnDYi8vAM2PaU9rTsQb2q8EuHOum72obvkyd+8pt+3O/RdhDtiODu8BpCcvJGI/7yQuz29AR4evW2dP7wr1ei8JgyfPEAaIDyPYCe9ooaIPDWipjysiW48v0KUPAhm+jsO3X+9/OliPIYrVjzrVPo8wGRDOvcZabuhIzq84nAWvXbPP7yq1628Fzc6vJ+/8ru0grY85FSKPGYZ1LwpbYW92RrVvP7sSr1ZUYu8xpaKvFlp5jtanc68EyQBPNn2vTvtDCA9+VFIvC9LYzuKpeY7PrZTve/5lDxyfbc8QbaivJr5UbsCMpg8gx/OO4EtUTyk0rM7cKvgPPR/ib2tJNW7IIWLPBatAT0r3g48Spwku+2jF7xl46o8tnOzPNssJ71H6WY9k8J8PD3emTvvJi087iamO4f8kbubC2I6nesjvHRAEjteNlS7tidUvUl+kjuDpvc8AaHQPGEfSrxYXSa6H5N4uwcKajxmF6E8zerpvK0UfTyh+5+7KKjcu/ennjzrTue725kjPABrozvntyE8Gzh9PG2sJ7w4e5m81eNjvNsgOzwVE4g8niUtvFkaIzy6xRc9WZ9MPDcV0Dzcrl27Tp6GPPxllLs4kme8t+/KOyGjvrzLjTC84muXPKGRjzzZmAq92jwRPGA/CL2FJkW8MevQvMX5aDwFxo084gzDO8qfnryyVDG9xSSWvE/mYjxUsbA7grWKvCdsHb2ouSq8u2SpvPMwDTv6S/C8u99GPDYYCrtxhaS8V+HkPH+BMz3drQI7Ybf4PEBBDDx3g2i8mkHSvLrRfzx3s6O85yCaO85eAbxigRC6cQMPOyPwl7uTi/06BDQWPDRS0zwvGhu8Os2KvAx9vzxe4s07xU3Qu+2rTLwNt5i7GJkaPKnaPjyiZzy8mPxdPM8gMLoNzzs9x+zkPMDs3TzTqIE8/52TvIN2BjzrPjU6mSY6vHbvYLpezsK8xrruu6BycTyoNFO8J/IZPEhKRbtBYu87nuLlPFfgvjyRVQk7ayZjOr2VZ7yQhxq8iDCiPHUtGj2g5WA8+6AOPLusQTuzSEy8XPX+OwXUvryGqV28lxIbvAQJ47yTAgY8HwiOu6yAUTyaLmA6/vzYvA/3ZLw+axk98PHcu+2LZrxzgAm9PW2xvFm++LyuY0A6zKXdu2zcw7slAgg8ZLnePBqTdzx4l/48imWeO0jhjDxSutI8iHQuPaU6+rwER2S8yKIdPQHxOjyCDbK83fAEPRAybTt4Xoq7UKjlvP5uszxP9VQ8oD9YvNA78zulwZ86axF6vDv7cjxL5Wa7nxWqvIc27bvaB947RYDgOzzzGTwmLCY8AvODvEV9TrwWIoM8dAcevBxJq7w4AwW8MlKbvH+ac7yJaDk8W430O0AWIb1/iKO7bFyWvBIy9Dzd8yC8HR4cveicyLsO6848lubJPAvmQzy6NHq8p6bGPMtA4TyYp9Q7NuGMOxOFPbuP5607QI4uvOhMa7z6imo8GmqUO7/+tbz84y+8PhaSu39Z+zxnWgy90WGCuYDjMzwAk8w8+V6OPCMLszzkhui7+fI3OqO+Tbt6UT68goBgOk0R8LsB/448GBmQPGDPFTxlUOi78JYUPH87SLyZ2+g8lB37PCIaBz33oay85MMYPZfVurxNJZA8nEOSO+WF0juFyrS83DIBvUAp7DwU8/C8nt8hPYCNIz0aHJI8aQeiOyhntzzmNWs6uvEHvaQrRjwjiKy8DF4Fu6tTdjvSpXY7A1v5OwLPHDxgCSK9044ivTnCdbs1uYI82kTxvHTBVLw5p4S8O+g4PArUqrxBOOY7pDfCOyRIW7oar6e8FCFSvPzza7xmzfy8h/5PvPCaJLw8IDy95khfPM/0G72kx1A8Wdohu26/bLx7Khc85Pd0uyJIKTsnnPC85r1mOyk/hDzy4ze8dDOiu9iKzzw++7g8lcn1u46eO7wG9zs7pH4QvQXci7yu46s87361vJjmNL0Gp4q8GdnOPMpj2TvPS6c7RXGQu3BWcruK5Uo8+hSZO0OLQDwArv88xXPxO9L8NTwanB88TDhPPM2qtLyqGku8OzPqu3KONLx/mf28RwCKPLPm07ukxpU8tY9QPXSFHruXz/K8fEGvPOfcXLzJaCm9F9HfuUh3nrvU4H27jkYwvLavQTvZq/C8E3v4vH7ANbzWaRC8MCABPGsxrztrVLw8hKPSvBOSPTtwLzA8ntVYOUseHL0k6Y88VtMKPQQE1rzb6GE7NniIvaBuHD2K4F48uyXDPC14PzuRyI+7AcVzvN14jbylapK75GAku3WyNTyj/q88oauwPOzEqrxqx4y8usiVuo9n9DuuZqa87wXSvNN17LwklPq6bJqTPDmInTzchJm7MJ0GPT4Ls7wiGny73FCWu1bdTDyO9hU8VDNCvSXRVDzAbiQ9eCaPvAYIYrwh8L68nDIIPM4VZDrvxYo7dHa0vN9uqDy8q4E8iQgpO40FPDvoPMA7HeKpPBU7BTu65T67Nb/oOpj0P7lDZv48I2uKPAqY3rteit07y5wgulbVcTwqXhK8pSB9PAfB7rxCpta79KE8POn3rTt9XIk8WqqfPEV1Bj1m/QI8I7+hPOC7XDxGw7W8+raaPGiJN7z3hf87PxeKOy1garwkPHk7LW7ivGMnND1TbxG8q9KPvKmxqDxhO1G8rOISPGz3tzu/Q5+8hAnnOnz1qryZnyy7y2VKut//zbumMBg9DEukvIQJvLyUnIA7Sb2xPAs0B7wRBNm770FBvN0q0zxclOE8MuYVvfTVIbzWclY8yzX5O9fbybuANJE8E3K/vNJb2rvxJTu7RjiJO0PdTjwxCKm8+OkbPLMdtzv35LO8SbOhvIrLIDxbVIk8lTmuPDOhCTvCOxM8nowrPGQdwzs/2c+8yp16u3q9R7zob8C8Fjg/PA/x/zytyau7rSRHPI6PxbsvwlU7P1AJPLkvEj0WRxm8PzVUvMvgSLtuWqO8Mh4vvSQn5DxSDho9ZC81vN0gnDwaDlY80ZZMPMvVILvvvdA8thxMvBrpgrz16py89IicuyDeJz18P0o8XhOsvFxskjzwLFI8PznRO0BMJjwWhV68WHe1u6oWuDs2I0U8/MqjvM91+jsEy5q89uGRvE82Jr33TL677JAIPMNDxjy2LZQ8Q3zPPNShJbwo6nY85V+IvBmRVrogkP07XI3DvGKDQ72ED7O8VV2IPF1IjDxaWaS8fOwpvAsHwjpwXhY9646NOpBmdjwz+gi76439OnxDtbwoH8c82F4RPEMuY7w2BH282dMwuqp48rzGZdq8z2vAuk04y7zx1DU8BoXHPKo0wLt6VJQ6dvAdPSS1E7wyGqS8Z6nyvM1h3Dx9a5G8HieguwG13DshqQe8/m0Uu98KFLzPlD68ln2nPBBnWTtEsrK79hDQu20IoLw0uN+8+GoQPeZsqTsxtfG68P18vLcKBj0CMys9xegHOrcwjLyW8/g8yKINvUf/oLysVR48fvKJvCuk6jmEtJu5OB2kPMO2oTyKiDg9uAUdPKRvuLycWQU6tFS4u6L7+rqUgrG8UZGvvBHjmbyJEmY7GZllPF+F4jsocRs8JUNuvORjMDwvlA07TeRHvFfzrrkVJKS8YllnvMDUprx8odS8YNfIPPHV/Dta6Kg8QICnO/mqSjyZojg59909uxqbGTzqV5C8g419vPHgLr2l3Qi93cjrvCTPSzwInIu7U8VwPNx6Ej34f2E8YinuOjmOlbwNJl697exFOJCepbwI4aO83LeTvL9o0jw+JMu8xnuoPHHTeLtsiMa87oLFO3+tqbzhJKa85tElvMvAErxqo0C8yntZO8L+FLzTm8Y7gzstPN/IPDs4/ny8yC9/u5leOry/7Vq83rKpPIZSpjxDNec8EQXhO56UnbwEXcy856XEvFAR0bxz2qm7V7Acu5RB8bz6d4+8T4u6urwTVDtM5oY88NhIPDmgh7y30Y08I+7ku4EYsrulzBA8D9jhO4k4K7xNx4i7cNQkvaM5STyoaFq801PHOzSonbzL6pI7U2tDvBYhyLtb6wg8NPu4PNogpDzUXzq8tBDuO8oLiLsWUx69ywoBPVypBzuAxmE8gKxmO25oizwFXUW6H2YwO4IrszrGoTy8BuBfPN5u2zyPSl88aMwEvFcHxTv7WzY8/RbMPOrueD0RgGw82DWvvPwDaDwx+N08vD6FPCipg7zxpaE8ZDMBPb9KhTvOwsq8qMfeO8wkIDx3Ssi8UWCbPBrplTscFBK9L0iJPD5zfTtYZAc9xme/vK2cPjzPVKI8mzgQu4opZDzRMNw8YHgUvU3SgLwAMwc9QxB3u/oCyzwAgIe8p9KGvMmpRDxxuIc8VfniO43MWr3e9Y08DJTauoaFgTt664u7dq0RvW5sK7w/n7+7qKGOvCvYdD0R5z47GLzDvCpwqLvwMLM7wlM0uyYBiLp/rjy7p/vmvPYdcDzO2iy7XF8tvCq0J7wC8xS86n16vJVpFT1XBnY8c/+ovEyNlLxTCo07iG7Zu+B0a7wPHKi8afJhPBj13TtHkaW8UpqWu79t+DsdRyU81+6NPPTsczw9X0Q8Z8xcvMIejTs+Epe8HpA8vF1tB7z0E2a5+TWGPDzllLsyEbw8huPkvHbhKjwWQou8p+jYPKMbu7ztVzW7JNqHu9V16Du4QnY75KwSPWLWRby3H0c8j/cHPW6dXLzv4JC8zrt9PFLs+LodlGC8zaLdvJD0BDweziS8B9fKPPkJAD1Hr8m83plgPNdDV7zm+T48jTU/vIXCJbuwJ7q5OkKdOymL1Du/9vi8VNkCPYnW3rw7pf28K/22PHTU+bv/kpU6b0FAuvVFOjyygyW8kfQoPYC/0bxgwn68x6N6vMJpC71lZi688vFBvEeiDb1vo1A8yHdoPObCz7pF3gG9A9KEPHUEAzsSQtK86xGavGSIyDvOYEm8ZKgBPe2+97p5dzC9NC4MvdDs1ryjPom8bEodvXJ6mrwXqCM8/ULRO2KqE7yacqc6OANNPOWEdLzv3lm8DpyvPGDCLTxrcgg8iOewPIwtCrws/E8881VWvP1R+zyXsQg8ganbO8Zyx7vrzBM8MrOcPN5VpDw42ZU8xsetuwTjDzzdix89EGIRvHyhIjw978s8AFQBvUrdZrwBh7y8MOo4vARQ5bt96H48w7TZvGq4UjyNfdk8YgCLPIlqVTxHB0M8pAmnvCmmUD2LEqe8oaBwPONrwDurWFK6BUWoO+5xXrpFUtG8cNEXPJ276Tu57f48ofQ9PWgEljztp3C8qtQtvRONQLy15L08BggAvFKCpDyAhlg8Z2yDO4zgJLyZyxO9b8yQPEZ/xrs2PgU99+ZDPChMqrxEFdg7VPMxPF1cCbx7Kaw8Bdbvu8O55zvVQNC7oyO+PFZiTjv7GBs9MTpLvBoHEDxxQoG7MjONOzkeLzx354y7J6syPCvdEb3R1K+8R/hWvCVQkLwmRkw7FRq0Oxg2KjvufUi9XZZsPJYv2zx3/5u8g+KIPMLPPDt/jDw8Ng50POltmLstTAk80OsPvdgLhzzWNR09Hwt9PJdD7DtCoJO8h4nEPKL8GD3eHAk8VqxQvF3kw7t7ikC9bkzoO74ClbwUAZc8ydQKvId3lDsyxh66DABSvI1GzDv+JIq9oHbguxySw7sJcnA7Xq65PNJjkTusQ/882styPJjNOrsF7uo8LiOsPIEfDjzwvJ+8L6UqvNCGjzp3hQE8mXw0O7VUqrtB3Cq8rdacPMTyljtEeVa8OVxiukNoozxBzDa7oKcHvIYMATz03YK8hBIJvernnztbTt+4EznbvO7S9LwxRsa8ZWXBu3J1TDz95Ya823upvIotHb1TFHO88CWPPMDPmjzsWBO9La9LPIxnRLypIoQ7J4W3PFOJJDuBfhk8W18KPNrLAj1Nrsa6o6etPFkPFz0mEkM8idAHvQgNSztkSpC8NibiO/mmFb1hqP+7ShOiPN3skjlZbXq97L8lvF37a7yIDrY7em+nPD9v1jv2Ea+8yz6NvLlGJbxumsY8d0o9vKiF5Lkw3Ig8AlozvQNKuLvUAIM90tuHvJhPgryW6iA9IirovGJdrzyiSrY7Qbncu2heOjxhS4y8BUiKuoWFkDy+2Qm8i/rHunPJlzuEspi8K/+EvE092rz2a2c8qxlxvGfQsjwhdaY7APuAPLkFFLwkBFq8ECOVO/OSGDyPfDM7vxlbvDSV/7m+hZ682AHKvF+XI7vKcp07NzMfPaXkOLvXn4o8hfkYPHf8Pbth7oo8sH0ovVCxBr3PhbI6oGtjuw1NprxcsXy8AgeHPJ7z87y1f+U8sg3QOp5wqjtuZO28JXU6PRJfjbw6+TM9HEHsOuKOFT0Oen+7jMCXuvH3L7wZq968+sTnOn97Lzn2+uG7DUwMuzAvGb3T2aw6DTz+Okb+ODoCWai7A0+KvMG/nbtBGdG8Eyo9vJNDXzzErsG75ty/O/svr7xmBY26PnjvvCHq4rwe7hW8jJuivAeL4zzXZoY8vh7fvNmhNrw9gbs8vsQVPDq6azxenfg8h99VO4KKRDzK6M88UpNlPX/ICLzdm8c8LORsPAMWCjyJE4c8DF+evHzTDr2hId477T6AvP0ra7zuuA47sUzCPF05RDxd87M6GKEBvGNEdjy9Lzq97SCUvLFI9zvrT1i8/3H3PO4grLyyvM47yjHyvAXV1Dt484w7QcisvEGDQjyGnDC860XiO+N/Njwc+eY8VMOcPHRvqjyLYsA74Kt+vFsRcLtrxGw8JxtqvAck4LvVxj08i0whOnY0FjxEdf86ULf/vMP3Zr3i+7y8mbUXvWLM8TwtExA9WdExvTZKUzx/oIY84MbRu+4puTyg+N28xTWbO9nkNDxjUoQ8gwpxvI2TlzzCNmQ8uaABvSU8xTvxQQ69s8ALPUiaIj3xvyE94NfCPES1nLxPv9A7hiEPPPWO+zshxzs7ICUZu958VDx4HMY7n8y7PDAuebzY+tM8kreRvGOPQryUKKk7Sg2nPF/T2jv6VCC9AcSfvDKHpjxU6W48BRxAPVKx+jvhnAW8Utt8vPANHzwKS+g8wsJGvPmqnbwI3p68zKajPCm+pDwIGkO81EkAPBYXwbvd9cM6mdkWO3gmODzG+K27y39DPM2a9bgzJXY9XWTmPMpCBjwR36s83SZDvIkKHDxSUme707K0u+WMYbr/kSa88Fn8ujmD7DzWR5A7XEJzvJ2i8rsx+no75I2WPHSnCL3F93y6oK2fvMYOE71bajY8rp1mO/LEo7zbTum8XewBvSjCrrwcJuq7lqfUPO1F3Lv+fb88wPKdvLnBFr3JkYO8/H5FO1WxBDzKCTI6ultmvTibhDsFJvi8nsKwutZ1Iz3NjSW9hjoPvac9Hr0OXGq6t2xqPNo8MLtmy2u6cKSrPC2BXzwLBTq9Y01bu5/xj7w9a/e8XuyuPHnzwLt76Ai8Dim/PNQPSDyU0qa8SM2API54wbxB3uO8rlazu8tvSrvOVCq7gczUuz9AvDxwQDs9aybevPmJMzvhH/w8QQkvPKo1jTxwyQ+77odLvGH/9bmI+8M88vFbPO6SbDwz4EW8uc89PJav6bzexyW9LKv8vFYYE7zQICa60iawvH7ACL37tuS7y8K8uw1pI7zL/Pa7inKaPKMikrvHm468GQMkvQVrRTygp3S7ebCzvEcN0TwprEc8fuYsvGHm0DseGfI86yzTuredvLzyDxg85YkTPQ21PbxQELG8IlTFu6rR3Doot1m80phGPEWbj7tpkaa7jKPxuyljTzwrbhq8y5KCvCAfy7xRtH275cO8PJeWwrxv6Oe7OgHRu+Gf0ruFn6S8/5vFuyggCz3sliu8kzEuPJVVeLtW2tc7zlkxPImEgjwfb8i8s7JSuSoRdbvnHiQ94/4JOxAXUjyowka6xaKXvN1097reW8K81ZuvPF8ZATxHAo+8Ek3bOjItBrzEyqi8uBU5vJzG+LzVaKK84inEPJy1Gby36068kRrEO5/DCD0V7Yy8GXEcvfri7bx5sDq7tvC+PG4puDyIdqQ8pnfJPNVttjzbN+Q4lhWaPNn4cbxstMq7/7MxvPBQ7TzTCCi8OEKEvCx6kLzjdqe8uPxvPRsPdrzVb4E8DNdHPNkolbwYjoo87ZoSvP8igz1SCDa8OERMu2d9qjzT3ZK8ltkpOz7fhTy6d4w71shbvGZ+6LuKJJU8LRmCPDlMUTxDxi28L+0uu+u8uLxRSHK8mX6lvIRHTruXKl08xNYRvKuQ+DzshSi8vpDLOu0MCDt9EvQ5fWz7u8o1GLwyJxi72nk6O2HfHbqJpWU9wa7XOzzAQT0DqTg7YpNlPAhFJ7tKCUI8fTGfPAuKw7xgUbw8Mq4bPJdC47zJnU08ybNAPR78JLwW2D68qz9LPPGH9bwYNBq7lc0PvfolrLsG5KS70n4FvYgra7yQVg28q3IOvK+OcjzGn2E8cAOquSOonzs32wI8MXgSPA6kAzwtKhC8E8pRu2DuAL0Xupm7SgY9vHRjWbq28ma95lOEO6P0y7w1QRO8qsZ3u8AvQT1+w0Y7EuuKvD8amLjzBT495/KOvABfzzzI7Hc847ukO3zwPLy3Ogi97b6wO7qOYbyrs/08BalYvMSzNz2wrAM8cwlYOss3b7x6Ptm8jRX4u9C1szyzM2q84y/CvBon87xNWqM8TSBaPKAa8jwNusw8MnpFvKX/N7xtHzu8LxQLuVjmc7yfpIk8+DQCPKOykDzkijk7NRS7OyQ1xjwcyaE7Z4FBPcRQ3zzBZ8o8ZonYOwgMJbyLgMA7Mvm+PA3bi7x+1JA7Ig7cPEvu+DzIZSE86/bXPMgrKr0C/Aa73NkWvNaLDDthiSK8XjEXvSbbxbyRYho9uJf6vI9qt7tljaI8/dRMPESPCzx9wKA88zvpvBX4G7yR5KA8BrM+uyjxkzwz7EU8HYXIPIM0Hz2qTbI6nMmtu/B9xTvGXaq86LaGu6t6sLwhuVe84RNoO7NNB7zFgTK799OLPE5ALz3wsnG8nIDAPAdL+TxwGc687kBGPJkWD7xBwe07+8uBu2UWs7zK8/K8ogeQPAgmujst37i7VnDeO13k37w/oPk8U1Pqup7CmDyxiXS8RM8BvEGZCjxrhA08OTRzupEurTreSHo8hoguuY+UVTxeRZI81Jj5PMhNhzxpj/u8Y4CxPKQLLb0PFmI81tj6uUP5Ab1BURi8LBiDvGKv0ryTJvY7c0K1vD+4/jtwCZE8M2/dvMvITDySH7a5P6gbu1cNiTsqrA+9r0wtvRKJTjxyIzs8t/uPO8EW0zzJRMO8k9kpvJHgUbzPNQ+8n/uAvCAdsDxtE848f8V3vEt5kDx4AY68LH07usxbzzzoexO7Dl9yPO/f7LxMdUk7tXVVPGJNCbyDekg6mfMIvKJy7jyDy3+8U1y+O5y4Hjxff3o8o2iju41C0ju2bQU9IzS0vGLZtrxL7hI8P0+pu050ljxPiwG8wODxPGqRPLwcCgw8J9qjPE7YrLxWr6Y8JeWXu0wiILv7DfQ7od4VPR9Zhrxd0Ic7QgvzO+VUA7wyz8o7K77tvIYxg7ptHNg7OXcWPATGG7zpqcG8p8qyvHrtdzzMb148eEGsvPHP7jqOlJM8igY2PKGnZTy1/B47R0tKPcc7Rzu0H7q6zuGGPD8uzbx/82q8nIoyPDNGGDw/E8M7tTCwvNzwU7xKlW68SvaivPc9j7wcXeK7N6wjvG3kEz1S7Tk8SMSBvGvq/rxuUng7+LVsu2XXMjuTt4E8cwvKvIdWRzzdJK48vhuMO34birtWdfE8J4OFvHGbSr0Ucta8Vd9/vO8psDvwrcm8R3znO65JBzytrDK8hNKkvO0wD71/h/i8FWHFPHUFpLwx/gq8rJDkOsDgVTxWKNG8jt2yvFGSgDunIL68z3W9PINK8rtHJgM9tiGKPFD2Iz3KLM27l1QSvJSnw7zfrgg9jjkBvQg8EL2Q5ka8Jw8xvAwxrTx6eK0747vIvCNeCbyEQo68fAS2PGWQjzzP3DE8rD0svDHSSz2MN6M8gkCcPBUS+LvrEpA8oYXLuiwCPTw2GOW7kp+zOwFd7Dxiv1m8auQtus1bUjw6QMc7w6XTOQxD3LsKOaI7nKw3vY9adbxPl6k7z95Lu+994rrEKsS7ZuqWPPqYkTy5+qs8ynipvKsShzw5xBY9fMGhvIheAT2n5+C86jf0O2zAQjwGW668gdAJvTAyPzyGTuW8DF1IvcMOkDxkOLE8X1nQOipIDDxaS1g7AM4KPXjZFzxqnjU8485zOxu/dLzoevo7hw6HPAQ7rbyBi9W8v6YHvOE+JzxZ25g8IoG9O2TNF7sqVfM7+yOuvIW9lTw4CMm7o9FuvA1UozzDRn+8vGIfPYh5rjzzLy+9pWevO+yhqTwpY+G7ox1cvCOBQrylThq7EhyaPApZRTolj4Q73+mpu9xb2jvA2h67LvNZvN3UJDxZ3ng7AkDSvIWUDr1OsYo7oEDjPHvdpjw5/FQ8oF4pvBSmhL3Bw0w79T5QPA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 8
+ total_tokens: 8
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_search.yaml b/tests/cassettes/test_client/test_client_search.yaml
new file mode 100644
index 00000000..f6724f3f
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_search.yaml
@@ -0,0 +1,242 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '155'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Python is a high-level programming language known for its simplicity and readability.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '167'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Machine learning algorithms help computers learn patterns from data without explicit programming.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 14
+ total_tokens: 14
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '158'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Data science combines statistics, programming, and domain expertise to extract insights.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '88'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Python programming
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '91'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning data
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '81'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - programming
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_unchanged_file_keeps_timestamp.yaml b/tests/cassettes/test_client/test_client_unchanged_file_keeps_timestamp.yaml
new file mode 100644
index 00000000..cbf424cb
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_unchanged_file_keeps_timestamp.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '103'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content for timestamp check.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: gPR8uSgyQ7yLBP88MhgjPNyLS7qWXzk97zoEPSvFSrviato6lWikPAs1obvKhgA9lDF3O2NfE73zSoC8Ho+QvaJHhryg71892LpBPH4iMDvaYGi8ZB7TPDxzIT26pMe8yYqrvKHSeTxiCpm80aH/vMAbXj2pGnU7CgIDvYU6wbzvHmU7E57tu/R2iTuWonS8TsmSvMt+6buENzA88ZTmO/zQlbrQl4s7WvbgO8rJpzs108q8pYNKPLV5WjsjM0q8p1gPvJKrCrzb+xQ8ryi8PFweqLycoAW9xLaEPHvtsTzrq927600zO62QGjshonK5WdLqu50FlTyxl2C8D/85vP+cvLsodsq8OAfWvJR1jTw3qHI82A4uu3AkyzvD+OU8r4JqO8giSD3gyZu68NMjvZ47Irwer/I8MAcCvFyrojw3L7I8SaS8uhdpBLwl0TY9pZ35O6jtU7yJ5P08KcC6O/f3HL0N7ye53gJlPPeP5jvBtqM85ME7PPRG8rpF5mo8OoMCO25Cx7ts/Wm7k08wPJupsDzCcIA8seAoOqYiDzzRXsG8pbVyvMIXgrwcKe085ARNPAg4hzyQf4A65JOcPLLutjwooqG8WRrSvPXd+buTh8o8zP8WPTy9qjwzoyU9C3FWvOVAxDxtvaQ7yHXQvAmZIDnpcru8iB8GvCQvWbtF8Uo8hOkQvNsFejsKxyy8QetwvHFtPrzj9lO9TW7zu5T8orsSXS28E+iuuxtPZTw4flq7X/+vvE0HjTwD/Fc8hxR0PIt2gTxo+ss8ypjUPDNhwDuJ8HE87Vy0PMwhfbyBZIe8eFBNPLqKHrubTwg9DB4BO5H+1zwcz7M7kz2SOvZmFrxnA2M89YqvvCYEabwTbJe7v3HDO831KbxqdNs6ZM0TPEDgFL3Sgsg6nwJ1vFQ8lDwfNxG8u1Clu2p/mzmR4A+9sAlhvAssPjn0Fkw9AjNouzri6bttmz48k1ydO3gUhDxAvKU8Upbvu00gxDufLCo8+rPEPHDsRjxwVgQ9sHf+uks/uDzKVU+8g2YNvWYGO7wdIls8h+TyPFn74jxMwUs7thzWu84ozzy/qWw6BiucuywBUrzcUqm7a9wrvIaLwTyD9w6991AxPE/wRTzWjn666EM0vbX4U7zLB3A8s0qpvLdWjrt/ga88PjyPuz8yUDuFl9A7aWyPu8ULjDzv/LO86VpSPLcCE7xNwki8PhG9uxcr2TvL8J08/6irPO0onDud15m88dMZO8mwQ7yXEaw8dT+jPC1XYbx6Q8m8ZFjeOsdOJzzyXTA86QOJO7r2MTxEQou65xCgO2+pvTsbNsk7Ddi4vJ17Xrvwev+7a6idvKGlHTzAsGQ8zAI/PKxUJTwvM9+7g8+Ou9H31DxCzu87M0sGPeQomru1PcU6haaPOeF6I7xUaKO8rEYZvJg1GLqdyuS8pxjyPEFU1buExFA8Qd+jPO0LuLty+pu8btQeO7umiDvnsKk8IRLgPCr+y7zPCmy5E2pxvGfpWDzFyeo6wX5GuARYjbzIfzA7uPcdvGOl+rsfUEQ85d/tPFA7EjyqRwO8OSBzOj6TAj03jo889M55PIrE0TpqFKy7lbIYO3HbK7yG7JG8yfeaPCrVLbyXmH870J+Hu+T10jwgDrM8iDXnvNkQ8jrkZDc8C48RvENvarylCoe8bpZOu2mWdTyRDA28aVAWvSPvhzqOoa28wF/EvC/R6jwy8ss7xURaPDTmdzwCu9s8V1UJPACHuDx/VOA8mFeIu8RTszwFsyi99sLSu+EhjbwC5x88ePOqPMinRT2A0aA81EZTPAizzrx2Nuu8/p2ruxcm7DvRLrK8uhL/vMDU57p8Xsi7QazePDB7ILvtrca7YgQ7vGOrXr0MlcO8D1nNustjEj0B0Q29EuqjPJyx7Dv5AFO8NTy6u3Vy5rvHpNc3C15LPK5GEr34ZXS76IuzvIrtxjwhPgY8r8sdvR6JUjtb+nU79k13PFIumzxH7cA8m7LyOngM6jqtO748HmaLvOT64TxHyAk9AAuUPJbAbTqNZj68XhoUvXT+Ojxbl6i8YyEkvWLlyTziRlE8ueeJu4LDsLkU9t48HdXOvJ5fWz2reho964x+PNHqqDzwuz09FbjRvCsEJ7w7gxM9QzqjvOK2yzzIhr28UQ8Nvb+oaTyDAc48kD1PPNIiBLps3xM8Q8PHuyGKZ7x8Ah69ubbIvC2GbzxvuX886ztbOxS0j73Y1Yi6UfklvDPqsbx5Kmu8WHYjvUKVMzzIOVQ7TmuvPCwnNDzcdzy8wu5NPGiii7whWNI8tzSHPPnc1zzHnl68FWCFPc0H4DxLrT48aWyIvHpFr7yJk0a8rGHOvAyatTq8xZw8Hed3OZnC2Duudx89nMf1O8A/V7nIN2M81f9UvL5odLoJJdY75W5tvMtt+7yTuIE803Q4PFICDD2KQei8/FIAu/aeoL08ubu7ZIcJvNE+4jux92u8LoC9vHfCnTtQ4hu7YsZmPDD2nDyKFrw7VXNfPESPTLwiRwE9VyKvvFTtkjyYLSI8WBylO8/p+DtFZhY8q0oEPYmT0bx3nzg9yTshPd1qHTyLfUs9aZsuPBoPdzwkEDM97aCbO65F8buA5fE8R/M4vGrfMb0upze8XKL5u0YTWDuUa0q8Cp+Uujculjw/fUq8GX++PF+dGLyz2o08SFx6vEGnaLx87zI8jUCBvComVjyA6qE7jh9tPIq9oTu26HK86JrbvDRgwDxtl+q8oUaNvEY8HbyWz5+83cxhvX6gULxR6Xk8Xn8FPaxk/DsKDtq7np2DPMVITzwJvPk7IL3uO4XEf7uV3Zo8UKRWPOWeCT2Nkww96nQOvJWnmrzWSJU80Bq+vKSvVTzIQre84EBCvDzfcDzLK9i6/KuBvOWI2ruVDvu8h/0BvMKA6DtZd0W8/QHTPFV3u7vP+AO7owKAPDgZm7zcy2o8QbfBPKOlcbtecU68KEECOkDQ1DsZ5547zqPnvH7TSz0IUV09mxapPHllBLxTSr+8jVfHuzjQUDxs+oe8v+R6PJqd8DxOmLK7ZsvCO9NK2TxwX0I96GXfPEGKx7uUfi68g6pJO73D+rxwyRs92rLLvEE4truESpq8umvLPEb4Db3rXFK76EtDPOQYF7ryLyc8m+DGu2kkUzxJA9E8RlApvHCIabuzrWe9cW4cvQU6a7uYE9O77W8ePVeMMLyH2/O8fvl1Oxe5MrykSbc88SFwPEDKqjzVaCC97oZRPBRk1Lv8NfM758YNvF7IMDsGNF68QNL7vFp8Ib0zozS91lq6u9HOiby9cXq8XSQHPbQ/B72PM1K95veMvCdCvLxY99u8LoqavIfEM7ynUWW8I7KtvIzN37vf3Bo9pfuVvJXUazzZUva79K8ivem6JD0RzG48dzeNvHLxlrsJNCw8urqCPDqPBT0MqYg8+oqmPIYUHb3Tu7W8yN18PJHX2Tt6qjq908UzvF2U8rsg5pk8T9kmPdAIKr1ek3g9esOKvDpkbTxNX487qh6Cu43Zsby3JU89wGkOvPdcd7xgzie7FbcEvZXVyLzZTbg8jb51PGXdjbyqExe79PSgvAlbmzsJUgo959S8vFh5dDuTRR88TfgnvJQLW7wCd5k8ZWI9PFxWpjvOavW5ToOGPNc/ljy0rey8Z9HkO1sU3Dth0y09jhy1PDUzMz2MT8w8BFsuPCyFpDxESbm7poMqu3acWjzbLJ68IGQePGN3KTyaBWA8zfQvPbj6lTyl/0y8vzj3vOSQ0LxJJDm8FJuDvNqFAT1IDwg8a8j3uv8ux7xgSsu8fP2/uvKeqLzcjfI77a6gO/xeSb3/vL48TuBVPIF1iDyAXvy8/yUzPKEdTLnkrGS7FiedPNd9zTwE6uw7nUA7PbNxkTxgr5+8gmiGvNc5tTy3pzG8cpcbPNE+Hrz/+ya4cWNpvKODhLraGsW7vBlIOn/WgTxL9q07F26QvM1EwTt7OLW8fqk5vT4QuDwxCrO8KmgjPMLo9zzT8oW8G3LSPCpUUTucyWA9wT0SPecL4jwHTzq8/rZCuh05KbxmMoq7SLgzPJtsA7yUNXa80D4ZvQHz2ztsMZS8G0XSPMWDL7wS9w+8IjJQPMCYSz3+mv+6iZTnPBSfwjo1aqG86DKDO4/sIj2Ldak8dVRrvP+eizsYXSO8CgyRPBi4wrwgLNq6djmvvHFrw7uo9Kc6+i/YvHtSgDrOBPI74JpivM0SfTxZcaU8cMgMO1vb3jugcjC9KHMdvfauPr2GR7i6o5qSu/cZU7zU8zM9e/axOx4klzp2Xk8870JkvM2igDmakR07ZwA6PCJ/Eb2u85s7bzpfPLT387uFrLS7VK3iPJgZzLq1Wge7vkhePO1a2Tz7t6U8GsodO9T63LwtQG04SuxYvDipCTzziNS8OnClPN7DjTyrT0U8WL0sPJEevjxkbrK8+0sOvZqKrbtarnu6Uoj8vDFlKbyV2wK8DQm5vOnNpTppspE8zu+TOUsxJb0tNIE82FmzOhzhwTxVJSW9hR4mvcBsA7xA4A49613YPHSM1jx7xR28+2EWPSu6yjy4fyq9rm/ZPDRjvjwQhRo6ZO/IuyJ//bwn/pE73mmqO/dS3bzXwHG87n2pPBULIj2fGu68R78fObFTkDyQkVs7cZwFPK7ugzwP2fS7y8K+vEQ1cjxpo8G7a51kvP1uEzwUCFU9CgHOPABbTDtbnLC7w7+SOwOdKjw6MuA8J+XIPP+1ED3nk/G8fm+0PG+XX7yQglK8GteAu8mhErsVdqm8GvApvYk0ED3E9Uu8ocMPPNkhBD0BPhQ7fpXku8wZ9zqfEcA863GHvAf5Iru+8Gu8MXeCvJsxKLzl6d27lCBZO25PXDyhVM28lh0EvMjMYryLZm26uRw5vApxTbxvRSS8F/W+uqFn4LzugSE83ZR1O2MGdjkRbqi8MOiePKZMl7zPF9e8GtLuu8vPhbwwkhK9ucAAvUZm+bw7xDc6Ea0du3Gv7TtvCvc8DKRFvFJbTbvz8wG8r1TYPCJKyDyTaG2824mMOtlvCjxcD+Q8SxX4O5UjEjsRLQ08AjqMvJEGlLwQY0O7U50YvFHV4Lwp2rE7JpDGu2doC7yV58a8RNgDvHlcybwNwIE8QJU9vBsIGD3OqYE8uPM9PI33ObwG6Ac9Nt4uvWXgzLzfigQ8LFyjvEuvMzs+zle7dVi7vA4c8bt7xDk9Z2gQPRwZ5bp72eU6yRdKPFxmQbzRYKe8WnuGPCTgmrzBBry8ITYzvOBBc7pflkS8U5X+u3yKaDtqaCu8yRD+PHELXzxESQg9aUtOPK6ZRDvc66U8FEw7vNbpcbxtQbw83c2tPHlAk7wbThO9imtnvf2mHz0PJDA8ZbWwPM2IOjs5H2g7qJ8fvFRn87sdd1m7g9YtuwLtOzx23tm6H1xxPBZw8TwTCH88ooN6uuUdtrv1Bou8Ctk0vJEX6bzSNhI8jGYFPYDCKbzD2Nc75pHRPNgzBD1VCq87qxfxOOqw+DmcqOK6H/YavGYOXTt9xYc8QmwYvU8SPjvy77G8+7YGPTaJsbsfnyO8s4BLOf4dTrzZ67E8wBIqO1YMCD3NIjQ8SAOuuy287ztXpig8Xj2lOh4AUbxesrg8U3sDPVMQebzVuzU8dbA9PNZo6js1Kr680O0Au9cVarx57gU8TTevvAIHSLzFUrs6TFhBu+NdzTuaiBk8PLaSPPmpXDxCgam7gPMKPKyni7vSwWq8r9KHPNbs6bwyGMg8b2DbvEF3Mz0D+qq7NH6ku2VN7DyG3Ui8QjdWu+HHhLzoqFO8Sb7SPFJTELqgmQe8KiYFvcyJn7xWauw8SHSAOx1z8LwTnvw7xsFLu1MgHLpsM+U5HkvHvKjGRjx6InK8FIuevGxGmLma8QM9CIrZPLjDELyoFyc8LN1IvBH8PjwvXTy6UCziuRWQXDy/wY+7kYeGvGkYiTx/Jqu8E6UJvFp9TLy5ppo8/XtGOxswJztH9KA7iOkAPF0wVjqK6ue85xVpPGPX6jvnaaK7RSeDPCeg3zv5upu8uM4qPUFvIzw7o/e7GzfbOWRP9Dx+EFC8368wvAAB/rnRPlO8jKWSvEuPuDweFig9ngGJvHKdhjxSyF879IkSPEcJuzudonM9b6wFvVUfs7tCtrY7HoztPKTrnDzXwE0830rmu22hXrqmdwk8zikivIr74zzTvKm8vJ9SOxJFMTxxWJg8JpLcvC3ID7p1KDi8UjMAvKwRJ71HkHQ61YxrvJL4njlZ/7e7e3TsPMg0XbrRjBA9fIs9vJTIH7ym/i46AzcZvJNDujt46b87ppbKOy6WATwAiro8k+kGvJ+GaTqdEC49SLmYPOsC1jxmj0e8Mhr1PDSm/Dt8U6o8mUCAvJ57I73/cNi8guJbvEFtm7xXwMG77p8nPOYCw7vxxV88+wvDPIT8jLwM/BG8ejEmPR0LlrwrlM46oVrwvDx6hDu05P28OmL9vLwrBLxWYCe9gJAKvE75rrqOPJe8H/aZPIpW8jqT/Ee8KXK4O0/99bxYMam8E2QAO3KqBT1kJ468fYKZvHQU9Duu3i09vbtRvA4Bj7wSSyg9xSZhvMey6Lu2jWA8Uho4vCQZAz3Pgz88u6WUPF8DT7xEkS88VpPEPK3srbykBSk8SAamvLQTpTvvejq91QeAOwe7nruZY0y7FN0QvNWTtTq9RFs8XCQFvX0aQDyLfoQ8PjLkOzWHzztphw+8HEr7u+F3QbsaDig81IHrPM0vhbwh5Vs8VEQguqqqOj2UcY28+n/OOzBb1zxK5H+8xEW5u35M7zsPyyq8alKEvOURf7xDll88pyQCO8Hn9TymjY088J84uzcZXrxTjbO848kduhNbYTxvSA+9jXBsvIv3NzzPuCS9Tl2IOx5roTsaXCO8yXG6vNO3Hjoqiiq8vF1jvHVLrbv8LSO7/fUTO16AGDw9iCA8QnvqPJmGjDxZChK8RHSYvAAfPLy6cXQ8kE7qPKysCTx7plM7FUBmO2F7WrxvZtC8dgbTOzkFirxLdny8cqQ0O3ECLr2WbwU6yFcFPSWULDtmRFI8yBfiu46MAr2ZDo+6DNGAPJN3AryhHEk8f/8HPKcxCbz5BDO8UhRkvDvcRbtkKSI7kXCtO4+GBb1rYt05Yf5avIjmEL3ItHE8WfyOPDE7OT26nVy90wVTvPxhNDzl9D69R3bEPFhLT7zgkZy7+Kl5u2+1ijsFq9A8PncCPGdInTxveX+61XlBPPPKVj3J/ue8nqdLut+EXDwbYpA8WeMbPbOFlT1wmwW8Jo4rvGC89Tzt9sG5NxMxO1FrjDxyP4w8GhggPVrUWDpxaY07BTpLO+MOiDzWAw+9g/zWPAi8yLwoMre7tAcRPGfRtTwkjRQ8IXbPu6zeoDx/u488zyyGvAZrt7zJMgk8lb9Pvdi3prpr7hI7veU6uxH84jxJ11+8NMFBuxGXKbsLuIE8tYFDu35oTL07eOU7Jx0kvJATRLyypSc86l3vvNvzPbstus+8CI+hPFElJD2pXsm6ziwUvHifJzogYTu8BtPOuZfFejus/qE6eGNlvCn+iTwFdHm855lZvMbh1bpyLci7coeOvEVXAT0Onwc7nWYTvRzuRr2nJC685lEevBeDXLyK1Na8CsrNPHUcJblSlqy8jalIPKkbFj2cOxs84URoOtehCDx2ire8SsqpvNvYzTu58++7+7oLvecNTr0oQS68WiQXPNn+u7ze5R49y0guvWKo9rpxlyU71VF0PClvU7ugGCe8kA2gvEJZxztmcjm89WRIPD/smLyP6Jw8393wPEhKzjroLIu86z7gO48sejxXyDK8e+CZO7IGNbzDQZq8Msp0vJ1SEj12H6K7SNMvPI7bCr3hCxy8BT+2OU1A+juHIoi7vU/Ju5MbJzyWTT28S1ynOxOYAr2Bf9y8OAEBPAAcXDoFieI7HI46PNcSoTxmHoa6N7dRPSNvYbrrQFy7jgDGu614j7xphZO6FNp5vHshVrsnIcu7fcyruwV/KLu/a8u8YrwFvLix5DsWu2i8RbpjvEkgwzzR/A85KU+8O/Cc+TwOosy86dSqvA5dn7zjJIq7FZqiugkE37s3AYs8tG+1PNPa7bqlV7c7g2RpPGyRyLwiFc67YgljPFe0EDxNgX48p1SCPGmOTLzCWAE8y9SjvBWLR7xQgam7AXgzvDXhQrz24aA8LqLjuvzLkTwVEBW8EiBRPEUworwakYE8+nCiOuENqTxvJrI8GaKPvGlcnDzFL8q77qzTvAHUK7z1XGQ8hQmWvIfYSjwU7yc98HqEPLlgrTxJ7kS8ENeIPKXwCz3yaJ67eVnMPEWiwjwEayg8nrdRu0SrH7zKD4G8X61NvLBkVbyCW1o87vAmPJkrtjw99aY7U/7uvGjCUToybAs93AOaPNnJVjyXK3i6Q4dHvCWLS7wNxQq8qMu2u8NPWrsvXGA9UJLtPDCCBLx5zHO8nP9JvJ+kZTyjyhw8yO4NOkjFsrrs2mo8KGekPAEAXTzzJ2U9okvcvIn+abyblLW7bO44O0p1/jyQxM+8ld1BvDtJKb0yEVK8l7XPO8PYOjx0c+E8drqAvGhjZzqpzAu9qyBCuw0+8Dy7b+m8Q6nlPFe5ZbselK28aViqO2y1Bj0cedY7A4j3vCWJtDwHeZc8lp8lvNpva7s/rFu8jcm/O5CRDz0i9pu7wnpHvP/hpTwdpPm796VpvGnmhbwG3ws8r75GvD5FSbtsz6G8q0GaPEBNLTyIEfG8Ts+vPHmpsLwlksY6w6K0PKZWkrqqss67Vku3POaetbusQaK7glk1vHb2IryKeA472NumO3BnIzxvKi28gjqDOqFiizwMqmW8nSFiPMcSc7ykz728o6IduxmhFz2TOT68UvaTOoEBHzyMHhm71TXQvHDwU7u/93w8GTmHuSlPS7vwMoO8xIoHPMaUMbypHO27UT0hvPkJL70qDZS81xsePQ4kH7zq7Ga9xL8LuzHoVDxtsQS98bx1PEiTVTrXzbk8Y1QpPO54PT3sMA28v8dQPJkmXjwp1dc8dVbRvE95iDzA5w+8nwU6u9cLibvNWIQ6dd/cPPZnJrziSCy9vEpPupuakjsSb2g8whFyPOZSC7wGVZy8ecqyvBXIMrxszd07iyiqu7a9GboftwY7tBSqu53v3Lu+XCQ9i/B7PLeg8byYHzi8xNVCO24Nljw+oQU92b+2O1X7Uzz0JMC8xxo3PH4VVjztioc8dS7Xu9RNt7tkcYq8jE0GPE2mj7z6iGI8LVDhOjaMBTyGVC0701jsu+8Q6TuDeXW83ssevN1FNDy+7eK77x2kvIjbpTs1zLG7c84Mvf3Pirz8/ae8ptLLPFq22rpqILc7ijqEPFnqC7ypNj883ohvvDV2HbwdE9M7IsgxPNAhzbwnaQC8v/5xPOcL0LuHSZm8p59LvNrduDxZ1wm97o+NPRQHgbxqOxQ8Wl4KPI+AED2lG5G8PuwJvZUNPzyGbMm7U0djPKs0LDygFnQ8CJj5u8JYPb1mQ5y74zpePE7lwzy4O4o7yggMvanunzsKgqC8WvV0O7PevDwKAtw8hT9+PHxNAb1F7iy8EI4cvSIUWbyyRKq8jLTZu37ULz0QFQA9cEDYvGNonrxY1ck8FTwhu0kYHD28suw8xRMNu+KTnTz+uLM8OmYxPf+E9Ttx1pw86UDbu7PQrTzRdne8/fuWvN06/rwhOH68clDbvCQDbbwr4og76hRBvGWLDLy4VaM8g3HTvH2FBz30ab+8DkTtvAbTjTwy4hq929t+vJBpZb0hScM7ZhuDvIGQjTyetKM6benJvLDXPTzjNaO8rxhzO6ALbjy2e7s80pUGvFRTQDwvRLI6XGv9vMIH/btnkrQ7Mq6WvJdidLi2A7o8FX69OYeGUrzEVhO89b+7vEMCbL2DuVW8BfAmvHyYPbuYMDi7MVnbvLDlATwbcbI7/Oylu6yTNT1UEyW88Ec2vEn9BT0k3R07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diff --git a/tests/cassettes/test_client/test_client_update_document.yaml b/tests/cassettes/test_client/test_client_update_document.yaml
new file mode 100644
index 00000000..39f395a7
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document.yaml
@@ -0,0 +1,164 @@
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+ - localhost:11434
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+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: x0jguf0yoDwYbTy8G5TgPAH/Ars1Naa859EPPX98MLuXl6C6/KGCvA20lDxCzw69Yn8jO7Xf9zt6MwE80WPEO/KJu7x/Z747OYi+vOJXirtjjLi7Ff/NPC89bT1DHjA9f4+ZPPbeT71iXJm83QC6vXbbDr1loZE8dtGTvSbLEL1e3hy96POJPNuEajsxmQ89WFe0PF812rpXW8C7NrzIPAP5gjtVRSA8IYqyN06iwTvhMSA9NUoBvG3shjvOysw7CYu+vDiMMb1XWks6vhfROr1wMr3b85u8sXzbvEDbzzz5kas88/DMu43WuDybvio8e82aOxU55ztEI4W8HxKcvOFmQLybhpy7aSiAvM9XIrxOJpq6QMBWPJtm1rzDw7s8sgiuuknyTzx2lh09EAcHvDg8T7xxYaY8Oar+PF2gQjwFc8M8Li3wPAfeUTzKL7A8+HV3u/1ngDwzlsg8sayouw9hIT0nnug7uxKxPDhljzyY5Q27i4mgPAP/JDviYNI8V49Nu7dI6ryzTOO8K1hQPOxOtrsvRuq8PAavvDFBsrtbXUk8UPFuvFXwQjtzteS7eQwbO6qNhDygG9E7jiC0PD3pCbzPgQq8V961O8uvqDrRDww5AEHyPG7kFjtmDcI77Gq9uokOBLsZoSU8OyRPvKi/jbt0iHi8Gsymu6fvizxo19w8L8j3O2lSTbt1qoQ79gBJvJ/j9ruhGs67kBGeunwxojuxV8G8e2mbOiDjbTxzPdk7LMdROpMUG7tKg/G6wXDXvL1XSztxBQK9Nv0ePYEJWjzabvy6Ue0AvKSzoDqD23I7fEvdPKDGTTz6/eM8MIOIvAax9jvVvWs8IYrmOgkcljxW9dU8HRJbO4zAWTwvQ/i74kHoO96hpryJ8sG8n2vEvPj/NryxmQ28tMZVvHCTlbyq/o68zyKLvMcEkjstZhW88LQavZgjR7zf6T69xciJutaWDDuAfiG9D7LwO8TkN7zRMYk6DvyevEDXtDw3n4W8aKkQPGLj5zu2ioO8d3WBPJ1a0Ty7i6+7brDIO3By3DzffIA8+vtyPCmXW7q6KEY8gbAHvFR/trq8UxG8H42FvBGGuzm9D5o8uiEBvJOBy7pW6728r8VGuaLYTDzY2Km8X15Cu0wtVzxQpK88AbcdvDIkAzv8lmC8SDu7PIINaztMZY88xW4XvGN6qTyrjLS8jhTIO9C4VrryuAc9Qiytu9Eou7sJ8QU8skMUPHySDDwRHqS8PuYjPNMt+To8rbe8rRCPPNWgDj1lnfO8+R2KvdIaWTrrPma7SwX2O2iGzrttFMa8jpe1O2uxxrtaJY27/OCQvLKX9zyDg/E8wZxUPDyCorzW6228q0kfPO3HXLzAxCs8YHaquzarDz033FU8XveUPC/o27ten7c48s/au8fZt7oXTeI4ks6Gu2paGzxf9YW7Wn0+PHB6kTw3fh8794L6O9XB9Dvg/w29oGtuvLvLzrsFG5M8FBo4PPMmNLyF69e6iA8ju3J0jDzQlAm8O0YOPFx3cjzxAIW7H0v7vC+2PTwKWsg8WCIRPWecrLxzEJ050r1GPCowKb21x6g8VybOuieHibxeyg29A+niuzQJrzvxl6k7ctZKPAqbDjsh3Ts9nwuju+ZMD7umqxo7C1LBvAwFxTooXoY7dlsMPOGBsTu29kE9m3MMvBBSpDuDHeY712RhPER8FL0kjL87iop1vR187LzMDWq6yyl9O0DBBD11Q288itY6PCnHsjzTNBy8WXO1PP0vXDz75+m8kjcxPN9/tjyOMWA8rAelPNZQmjwmKTm8hfVDvEfqVzwofJ+7QgQxO9qELTxAfkg8FLBJO1jr1zxuOqC7aekvvaBorTnSS6K60zuNO8UVTL235Q28e7m8PLm3uTo3x7m6ivIaPIUXPT18cZu8rf4pvK3TIbzMpRg9zmMsO1vWITzB+RW8pDKKO2z3xDqneRO9iT5ivIcP8jzaUcQ60sFlPPSh/zvZVqy8+fFePKC+Hz3q8Km8aOeaPBrXeTy+qww8FqnOu2l6Mbz0LeE8BroBPGQU3buhU/W83kkuO0VjCbytJE+7cE77OyAMQL3143E8ScfzPHBiWDorS/w8uBmRO9rwyDv78wo8cYOqvIMl+buTtx26SHwivbTyTLy0gYg8avrJvHMc0bv2apM8Q2pFPOMRlDz35NU7ta8SPO1jqrukG4G8AdOzu2tKljsVDJq7Gdc7PPHMgLzT9Ek7DPwwvBVeFLyhwpu8v3RWPHBL6jyVeFQ88RkwvGJjNDx9nLo5IM7qO1PWoDvnHsU8z92Ouw/p8zzrwi68IFpLPTQaQjv8bOG8iW3cvPZTTb0G/nE5XOFwOzKZyjxRTxQ9IHoXvXpZczvCUra82ICovIayET03vy490oO2vG6uwzzG02A8RVwJvHaPmrz6ALO7uYkOPEW57zuX7os80wlAPR3jv7oDv2c8niaRuwkleTyowcu7Dv7wvFJfDzqxG2i87maePKv3djymf++7yOTKO4kWE7usUP68yn9+PL7ZCTyItuI8rdBGvFu30DvFJ5M8ZOgfPUHtH7wxMh+82+AlOx9y5rt8Soy8o96tu0h9qTymPkQ8b3UHPTztETseium7zEkAPQ/P9rwVc9K74IYFvfv4pTxRtXS7/eGhOyDbjjtygki8i8qnO2f7x7z8WQg8NMc2u/Tw+DzreUA94LCmvPvPnryTE9k8efjfOiwn6Tx4ORE9U5WhvJ+WZ7xfk428TgdbvDxwgLvb2x+82ILlO+1BIL0UX4Y7V9+MvCNXCryvX/67thU2PC7tTTx6WAu8PTyFuwWzxryqqYW8Hzvvu3gNjTzVY7O6rDRHPMhvn7yowyy96HabPDoPoTw9EJm7pqMaPHe6hTyjEBO78NEBvfhSET2tPbI8gTnbO+IwKLxnHtO8jx7HPIHjgLrNz3M88rtruwL5grw3oZI8bIkdPEDi0DyDK4k8Bp1MPMLg8Lq2Kwm8JrW1PA0CALthgdc7bIKIPM2nKLvcIAi8Dtt1PPOz0Lvldc27pZecvNFSET2AKVI8KSrXPHBbHbwQAiO9x2B+vLQOeDs10u07IGVWPHC5Jbw7QkM874mnO2LPw7z69Qo7tVQBva//Rz34Wwk9IBMQPXeqcDx2lW28vi8xu1bm4bswx/s8NjJVPEuSw7wKx488vPjUOwEVgbz44Iu7DvoBPczu7juSpwe8i+rNuyTXYTwBAiG8yAqJO/1tlTyDnQG9SF3bPDYU6rtW5lO8CL+CvBluqTwS6fI60lqCPDGlhzwzYw+8HEbRvKQQ3Dtvc3Y8d2y5vIseZLwVKue8CtmmvLEQtbuNXR28ctzyvLWYlrxoDTI8gzOfu/1hHD1+iQm8xIkqu4aNObwIiEe8texfN/iX9ruHj6E8JwwmvSoTizy8pp27GYCrOw4lHbv1Ki+8DE3dvHsaEzwXZC89y22AvMuSqDuvxrM3GJ1jPMtGyLyKL488HDKHPEc92zynIQM8VKjkvNxczryRHJ28LMqFOsfkAzxfkdG7lEH/POjIer2D5Tm8NjD9vMd987znDnQ9kLSnPEJ7Mrr0fzE8upm0u2dSlTzz1SY9Dh0bvZq6pDx1qdu8RorMPKTy0LwVvuw7s1SLvEI2g7x45ro8WvmpO4OOJjwaQ8a84TasvFztg7xtfjc87uajPApTOLssPpK8Zd80vHjoRz1sEc4817jfvMMeyztp8Xu9sNLUuToNtTr/5fI8jjeWPJp0QbzWAy29UMA7vf8ZdTx1tF48bMzPOnqogzyYCQk9AhH0OY80f7xk3Km875C0uw8oaT1mZnG7050jPBnxCTxrzFq7WoW0uVyEZzpvXau8IEfuO6kR0TyOKrq4gJKJPKdR6Do6c2e86L/rPLJTCTw6UCW8jSjWvA5WJzx5Gw+96MyWPKoxSLzrsKI8Uh/Auj1IcrwAe5C8pnoJvHZjmTxH8HW5hXeovPopjT0b3H08KqT2u5OKjDwzOjI7TSKuOkczBj06ox48/cCFvEsUhzwbqDY8y3mAPAun8DxXdgo9sgcGPe03PzyP22I7ywpPPIJUEb2TWIG8ssqoPC/GhTueRK66sH5AvWxuFT3jXgi8jd/YvEHhlTxnOMU8uGmwPHb1+bwxWiI7yUEDvRf/Ej0YkgE8x+JRO0h5NrxqUv48F8K8O6XXlrwZcDq8+e9ZuyZHHLzXaos8FvQhvO4I/Tw5ejS8Fa09vCNOiLzkJIe8cY+PPOZRQLsurmy7K/KOvBTYgL1gR9g8baAwPMMwFb354xg8PXAQvLA1frwNXgQ8+TTkvFoZD7y1ddE7bmHSu7Z9irz+4ZC7WJyNuzfT/rtlV3Y71l+EOwloyTviYkK8UdRkPRGRx7tm3GK8GJ4WOdpuRrwwMie8QqkRuTvlHD0XTRs7TUj2vCYWjrzcehk8dvquPCNZEbxTeo28UfkgvIC1NLzwPly8MQldvSQn97vA1aS7RBn1uO+NEDw3mAU9Kzk7veLnfzxtLbU82OC1O6AWvTs+3Hq8682xujXnEbwsd0w94rV3vDF5G7y3mLS7ohG7PAk8GD3cGXM71qAhPfdKIDxS/Ei6GErmvLcrYLzXyww8MrCgPMDxGbz9IZg8C8LnvHBKhrzlBbe8wvGXPN/aoDxqxZi7zQKyO7YKqLzNZzs94LmjPENmNr1upmG8iF/COyvwHbxH/Ss8e8wiPfMYjT0jiXu7D4DRPINe+zqkdN26HgSePJc1nLz+TxU8kCfJu+dwgLycRBo9bj8RPZ0yvLzIkg69Zgjvu1yS4jxSPVu95ZPsup9sFLuFYDC8wBOuO++5QjzXZcA8NFQZPF9G67zTSQU8dukaPApQ9bz2IcO8OfoLO3VyJjygGe689KR8vEtwsDsFhce6do0CvFVx7boeRRU87IywvHsxCT2A+pq7ZQaUuwMKpjrNc0O8RXQvPDYYjbxdPVk8Ww/UvN0PJ7wXlNs8wW6pvOFzBLwhuqi7dBRdPTuxCTwVPWg61bzLOgZga7xDgY67vcY0PGDnDLxWdgc8as6gPFXcKjz/jBC8ja+bu72StjzOdZ+8mmmMPLD/xbutv546h5YXuwwYzjxiHvK8PJx+PBq3Cj0FbgI9rQ8UvY70vDzX5D+7z30IvP6Yirxcdya9eF0WPWJ6RD3PcJ47o2UJvKN8wjqdjd+6Bai1ursFiDtGdBW9gR3xO0xeKTxhR6A8cUYIPayxJDymjRe9I3CVPPh5iTwqg+Y5PPSNu4XXSr2uhx+7lZEuPI7oLjs+gT05H1xpvBsnBjvV9xo8h+DDPEKoiDtfK0Q8Yv7hvMKfwTyoA4w8GeJxOiuXc7y0isC8OSkrO9EtlDxr2mw7f9+LvGSyBLzSbtg8qKj6PGQmxjxLjhw9qlV/vAc1hTg2lXE8hhiNu/sIa7lUBBk9FQ6PvFgjgzzZMIS8HmeevEhlB715qye99/eoudKyPDuu1d+8vnIFPRqy4DuGJXU8LQLcuitFsjrOgSw88UQePCadIjz3iOA5CV0TvJnX77zZY2A89+eZukKBxTqo0TS8ZShFPE9VAz1eIf47WGuXvIivcrxNfq67Qsi3vMfxv7x7x627S6/WvJ6GFzzDJ1K7QIvTu2xS8zx/tls8sUrxvMWSYjxOI+k8fkhBvK82mLoTsG28SKQ1PUNDcbyGMB69MOGgPGMNfLw8rAe8OBLLvCU62by4QWG8tV2/vN2B3jwFLKY8SmUcPNz2tDuxIAI8PueoPAHkK7xsm7u8SPJpvEWGzryB1Vq8ZJP2O9XCMjzMsva83owWPIZNsjzdXjQ8Yc11PJfzBT3ENWY7ZvkMvTKSuzr9HiQ94IEuvXMSD71Bvxc7122fvH8/QzrHe0o84CiuvIpKM7wVfka7chtCvO2W/rud7iG7BekRPdIzhrv6Ipy7ut/ouUBa+btAZn273zlku6yqFL21smc7QGyIO749JD2MySa8AM/5vNyskbwkE008EuhFu2OcPLvi9z86TyPeO/81Hbyp39M8BKSQOqEZgLwB6qC8W7nMPFpSyDx15K68fyLIPBhtPT1eEPW7zM8sPUUIoLxmxG88sS2JuqpiUT3It/+6KnyaujdGurxR9xI9kFeWu+ZQOTvOM9Q8mo0BPRqTPjtDwJI7ItAEPfE4hrwvJGk8kkKuPHYYiTxlsYk8bqsfPBNjTzyYvzM7pmAyPRKWiTzRa5Q8QUW/vKvljzwnDyi9ZwXPPHQvgTxBESU9Y19uvcHhJrwEBTU8gcgwPMWRwTyeKOG6EEDKPL4yuLyHUam8xc/dPKZNRTxumRg65eBZPN0t5jwzqCe8sAN0vAQEpzosJFq7kGFBvO4e77zKGcq7lGTVPFB3JD22FNc71U0KvNxiPLx39qs8sn07uvKBV7yo+ku9QTaVPPeks7wMHdo7Cm60PKT0CjyA71A8+5UyPMTsVDvqU+m8qs4PPemnKT020lw7IGk5PNmChTsNGLC76elru0L6EjxTQse8aTU+vL13KT3cY/U7eYe2u1+ZsLx9JWW4QBPVPO+mhLsqqVa8CAklvJ42IbxJqs28PzTGPHdahTxoJhm9SDwdPLzjADujW7c8RT4jPI06Fr03Mrg8xUKPvNBwODy92LE7dWIEu1jgGzuUTa48KyzzPI2Zo7zKgoQ8dgkLPIr8y7y6fdI8lIa3PIxkSrx6ZYS8gLiBO4VCwbz1ubQ8mg9vvICXyDxO4k09TVPXu7hww7yp2II8fCBmvA9yzrxtU9G74+bhPHX6hjvfE+k8Imy8vLBc5LtcbaM8vQaHPPJuAz0ISpI6Z7+5PN63Uj1TmvS8wdmSO0QwobxZrkY8q7blPHNoq7x4L0C8O4ElPeaeBrrCJ6y8tG9oO5/hzbzl5f28U5aYPG80ELwcxtM7pEszvTUFlzzL8hq8tHTdPBmKwztKCjI8BMg1POISRTwk5YM6/PHvuj5fN7ugpjS9lheJumCnqz1WRUw7Vs7tO0NgO7vu0pK7yEumuvVhFLt18Z68fpALOkLT3ztYlJS7rNKQvN9G57yvO7k8DznNPC9lWjwcLrq8tR1ovCacKLx+mT+7SPbtuwZsWjpi0R+5U1c3vAcuyzv3Mgo9yzhZvIN5g7z19rA7PFNEPKZ1LTw29Bc8FiATO47vazxKCAW8S48mPLZGOTxsWWK7Qxp4vMmFxDyNs3g7q0EwPGUSCbw4kam8J7uivMvX6TvkQQo8R/O4O5k6CL13YeY8Z7WWPFbNA73VS908s3jAu+0FzDvbKja892MRPU0NpDovkgO9uRqAOnd1vzyeuRm84HLju2LR4TwpuuM8EZLdPEaiBjwp3aq8ZTdFPVK1+jwy5y+8ZTiUuyaXhbxl2dE7l+8ru7SRtbvHur48mJD4PCqjxTwcUY48No88vNWC3bz3oRs8wnYZPaVttbwOX8a8t/fzu1Z2Eruh77e73palvDpVWrwGBA+8QN8GO0/pTTzF/Kq8BtVJPC9Ws7xDCEc8eZ3kOwtc0rzhSs88ctK9POm4jDw445c7YEwCvXI29zy6KBm81s6lvDGQOjz28Le8JxzNPN7/KL3BsR89PkhhvKHBGb1Ca8M86NXVO5Hoxbzce6287kixu8w0Az1wrjW7BHZ3PFoRnzylOyO7pF8HPP0AJryCfI+8pBh5O83V6bto+yQ93D/nPOMS2DxG8z081rt2u3zB07xOfOA8V6KHuxZkPjwvS/M7+dqYvAwQ7zqQqdw6VuavvOejCzt2HKa8xDDTO29ftbyGctG8D177O/7/E7wf/SQ8PLpjO1/7irtp0nI8f0XmO7710rxxSLQ7yRA7PeOshrxWP3y8Arb6vLT2RbwBuTa9XeDWvPLexzt3nZs8KsDYO/h+NrwTg5q8NSbKO8mgJTtpssS8TnGVvNjVLDy+Zhw8f04xPK0ZNDxXshm9ElykPLvY67u3ise8BVDRu5JoAj0E1rQ8aoAzvN3z7rw3SLS8ZdUGPNH7k7yFM9e8sThxPG5oJj2IvNe83ttZuxyjVzxLmHU8VjpDPHe7+Tt8vd06QUKOPERIwDuar4c7nYEWvSAESjzbZcM71GQuOyCdjDlbSh88WthCvCZ3r7x5SfQ8QPjQu4wsP7xlNaY8nwIfOlfpyTxSz4m7e071u+rGrrzCmZQ8+0FOO7w0Njw2nLM8WWqrPOSmE7uvGIe8LStOPP6geDvewES6FVmwPNlWXjlOHWm84+SXO1DeBr1wL+G7zAeKPNhYZ7whD6o8XuwnvIV3gTumF5I8hH5BO7rnnrt494W8KyXLvPNrFzxT4Qo7UuQdvAL/hbxfhgM9ZQJVPHFi7TxF5sY8hEa4u4Q4MLzUxAa9eOTnuwHbq7tt4Nc7zc4aPFAk4Tw0Ooe8V/M0PJxkk7uGPas7yQtOO9dRyjw1GCw8CM0mPMWxWjqqgtg8UAqgO+N1AT1cYAE9p3SYvPScOzwSYRe8IxQmOmg30rxb8F88tISGuxydlTyyeaK8Apo4vDnbvbxNJHE7otSyvNsbWrx6LU86dREQPQyX2rxHxTW7IptUPPyP+7uxaFs8sz+/PAzzA7wbt+O7Yo7ZOx0bgbsdasE8o7ysuQcxzzuWdrc6pIoyO6BYE7wLc0e8xE0TvTe7Hb3PhRW7oAD0OmZUBbtn60S7tPoUPEIxeTtcp7W8de+MPLYXFr153P67zcQevBiXnrykHqO8mM3GvGCh/DvTdqa8dWrQPHC2j7xdAzS8FOgJuycS/rxu+zI8Uc8BvOWhl7pYbmY6oolVOw6dMzymtay8i0l5u2Lchrzv+4y8u0S6PMhojzxIDhy913gfPDpJOrzp+SG8X+2gO7YakLuOgMu79aH+Oshdhrzj52C6/muSPPcCgDxAzQK8X5M4PJlDxboSR4W7t+OVPIbYvryJ1xQ95qVLvGRnDjwz+yS8URIxukoWIzs3qLU7SCtsPBq7Q7xxvVK87/yIujcKN72Ir+47OYN2OzxoZ7vqxLY8mbORPKX8Lrx9fuy8pZXKO6gxhzwLd6w7MuJovNyBe7ysjHE8PFUyu0IpoDtnrLU818BtPC1KAz34PVm8j3iqvJpqnzyf3xI8GeiyvEre/7nOaKs7ZHuLPL03fjxa1mq8HcQKPDmyabwS66C8pzPOubI9BD1fELe8Hd2RO6WVPLtl5C+7DM/FOx3jmjzqO3g8MyYKvHeX0DznaqK8insXPUE6Br0Gc9W8nzoePJusFTxfe7o4NlqfvF6Oxjv9sLw8EgfAPBmgDLy/Dn+8X0ihuwEYTLxg9LU8sSlNO/WPfzxOSpI7pDGnPM229jxuEQ69AwQcPAcQRrxHb9W8W9JKvJTXfrsjEtW71A8WPLx1/js1NNm8eVpPO8rnDL30PsW8nOEOvRzhz7yLONM7wS/Mu9iL5zsPZli7hCEnOw3Fury1rZ276xTkvBP4zzt1Mf08/GptPLV7DL2zd7k7kOhkPKbTAzzKjhY8fC0bPfPfzDwg9FY8Ln5POpa/v7yvFiA8G/3DPP00H731aRG9RmWfvD2Itrx9Xes82NU4PK1T8Lx603g5gFijPNvnCrzBjxw7mJW1POvZVjxdnys9x44cvI7TGD3j8HO8CjPIOu1eTjzbRQ88jqbIO2rKWry3OzO8Sr73vLKO/jswSeO7yrFtvNU6UTxrYBO96oAtufisVLw2Iw+8UVIYvbdkz7wDrrU7HKzlOyjS0bzjHLC8pLUMO5nclbwidPW8VcdBvZtu77zRqvQ8rRSRvB6V5DsucYW8V2Xwu2uFobxRW+s8cEcpvLPxJrwtv0G9GhY7vHC52Lw0aHA7fbVkOR4UbLshYZs8baJSPKJKdTtAu8Q7JJaRvDq/PDs88Ic8JR88vPTNMzzSaky8lQunvHbMizxKQ4U8id2KPHSxmTtQkAm9wd6kvJNvATzj0qM7c1+9u5rmu7tU3ic98/WZPCol2bzNokm8iSVXO7sa4jwEVhG8xT3Pu5+SAL0mIU88eisgvONF67xYM068HouPu51Kl7xA8qu7G3rsugZNVjsa0HQ8+JnBPDqlZzxawwU8RmrzPLHHEL0oDXM8eFPLOwqUxDu6qGg8XUczOj+IDjsxcmg7qbDxulVdNDzK4Qg5VnTDu49V6jvahj485iPGvH96kTyAfLS6cmx2OgdYDDyXPQ28oqfHvGmEm7yenNC8vRmFuvmOybw/AO07TeR8u70z2Tm6ymY9fQySPGGhCrxnVf482HqKPBVOI7zswge8fvIDOmB+ebxGW/K7JbYDPEy/KTxBnpM8sioRvDA/Dz2jp0Y6surqPPES2rxpDQi8+JKxuXOMATzvCRO9CCYYvalYmTxRFQs8E9vIu061tLvJ9mW8g+W5PEDlqbwKBwc8Y3JwvFLEsbww4OS8LAVpvEjUlbsJQ1k7yIt+vCbOhbzZcaC8lA75vNI7yzvI49e8a01JuAARwjtTs627ZdhRu/xtVLyYJbm7NYxPvJr5GTuLILA8P01yvEU5xDw+hs88I+tyu5ZsTTwjWh+9UQNvPPz8wzsgaBc9RHSEO2ujZjzBSBy8Xaqdu/CYoTzuZRY5DyD3vKjVeDxrDrG6Wl5pPBFYJDzprQi8VS8lvW02LTwzgw29au2cPKz9/Lz127G8fS0XO9DRVjrXCRq8o/p1vGSABjwgqJi8xisovYniRT0pe/E8cHQ8vNScZjsgo3u8FcgavBd3Dzvv/8w61A+UvOO2Hb0WsPi8vMqMPCghlbwGifO7QbS1OwE6BT390he9Cd5OvCe9A7xxwpg8yEWpPJ8j3ju5h3a8vkYVvb/dyruH3AW9/lriPC33v7umZtG7kloJvL09QbySEvW74JJ1OwY7aLxbK8e6GMyyvJMnoLwfSA+7R1sDvSLWELzihr27myNFu8momjwN+g49gA+nu6Ov3LtWtrE8Hxk2vO3wfTz/qm685fj6PHnuRLyQ3/W8/f24PJAKqjxDF7a8+RjyPG4trDl4TrQ7NbowOwxaKDx2KnY8tVMhvcntBLwLIca8WeYCPX6ELDx4BKC8acOxOxHFADzUQNc8YSn8u1cgHzz3qiy9cGFWvYYk6zoN5wm8WGZRvVV4PzyDCok8LsowPCfWkjy3v8o7lqrCO8E9zLs755i8RUtzOrSlJryp9aA6MA2guwVVlbwQP188UzT0uxad4LtOgzM84viDPJIHQ7vTTju8Y9Z0O3LeDj3FarO8vDrbuSdwlTxcrM28jDksvD3Vo7oAIEu7KMdeu24PzLxQlgC9kRuSPGBHiLygBGa8NGnMPL4R4rumeVE8Rl+MPF8UlDwr8h68arvevI2xlbydBCq8MuwoPUKB/rt45bG8fBoXvGnPDzwTotq7nWLKPBNYZbyB2O07wWoevWJ+2LseI0E8a4pIvKuA1ztqpqS8lMV/PDThgbvFhsW8UqkivHeZ1rx+KRK9oL46PFrQrjwr18W8hQ9fvER6R7vds9I5zAFmuyaJnbtEQ7685CTSPMLHeDmXsby8htiDvG3ypry5SbW8SzKlPIpfRb2GPzI6efr8O/eXaTwg64g8S4SlOoCuszxXjmo8u1o/PAlaEL2uC+q85nA3PH9+aLwVGL+7hiGCvVXGjLzczu67QpQdO+f8PTwP3ec8YLfmu9e+ZLsB5dq7GxODuxB427pjoGg89QEHPSIkLD2Q21i8T5q8PP0LvLzdAQo8d5KXu3Xs0zy0+Qo9DAegvN2MIrzFkfW7u8qHvG0BHDwgCF68YhlvPAep+DqLWNk7VGyzPF+K2rybgeA7oIXgvDQtVzwF83I8D+ftu0lhTrxDWD28IiayPH1IZLy5N7O7pwg4vXhwGr2EieY7o7SmvPhNoDwS5su88B6PudzU27q4u7k8BDQdPB2qjjvilK+8KfHJvKpaY7wtpn464MUWPDHn1LrkpXy8CiM+vDJdLbwzwL87nydXvP3NILyWiwo71+GAvLX4nrxA2aI7xDXYu5xUyryQBFS8sf2BO7hKUTvjfpE7e4UmupGzDzyPQyC9ZWeNvM+fAz2JI9u712vMvCT/Bb2un2O8AMiSvM5RGTx+1bA8D686u3x727xZxpY8qRilvMjjjDwSzFk8oWmNPGdfpjywhSA6oSATvfg0xzxJ7gi8Qq1SvMwcB7zp0fQ7o1u9O1hjrDu88RW8uLbdPC0/xzuDuK884m6XvCcDcjs3G/E7C19Pun+8KLtciPg8BOSSO6H2Gb13IfO8T+sMPB6c7jp9G648Y4u8uhqs+Lre+oc8j8LbvPfvTT3ZM8k8PAalPLj1nbx8w6M7WhV5vY36gTyRY048vHEEvNwg1Du/+ZK83TjNvDYefjwpk2g7rKyvO3sfzLzlcRk809PIux/1vTw95E68PoV1Oz+XabxriRs9Fy0Qvc4etzujR8w8CGzFvMWvrLti3Vy7qMRYPMdkgDxpn/o82NoLvZ2hqryA/Ru9GbFRu4/ElDuFnMQ8oDcLvVNF/Tt9Qyk8fOsLPH9mDLsDCJ078qh/vPf/L7pDzeo8Oh0iPe5BIzwUN+q7lxbFuak8wDuVqKi8pn+KvJ/Cp7xmEqK88K74O/higjuXnug7Coo8vL0oAb2kT7C8aIefvO/O2jsYFHq8sIjrudICVzqjloi8GsYJPDzjHTyIvek8EvwQvB1rUb0XTbK8X1YpPdhdDL0AKQG7gelUPOkSMTpeTvy6k9DlO5ghODyRA668q0AdPQspebuikiQ8JkobPV4EDzyjEUs9u22UvDHPlTwGDQc8QUNGvbYy9LoFzpu8I0Auu810zTxh5Pe7MeYJPK8Cg7xUWH07CyaDukZcLTs60KS8l2KDPBnnQjxQfqe8Z/LZvGk/rLw5APy7XFIYvcDRWzsXjbE8feJcu58enzsgmYC8SGoWPVHf2LwNkxe8C/mSvM/5pztM+VS7XiN3POdy4zuS1zI8Xuh/u52SzLyXITk9KPnOvGqSw7yrnUm7YpS2PJnJUjrQZCA8O+ANPaOfEboD2I28CWwCPVL2JzxepNI8vy2kPBZjarzQSQC9FtzEu3G+3TzqibO83xHbPAsfOz3i+Va8XR8GPVwDoLysv6S5Fc38utr+fzkSzdc6wWnUPFCA8zgH6oE8dEk9PH95CT01A4W7j/KgPG3AdrzIPia8NBXpOFS55zwiew88U3DxPKN5zDwSC568dQwqvfJQizqftP48S6mzvOzAwLzya6682kxKPNl9WLyuf4K8wowJvC01qbzzSJi8rGyGvM3LxTxNxZI8eILTvKZgSTsB+rO87heHvHLFPTuBnjO8JunrPPgYEzzQcJ+8V65WvEdnIjuFOg09O0LAPKctLzyHRcE8cI2pPP6oFbybQCM7T00aOxcXcryo39E8hsPQu+jBu7wcpVy50BMoPPLpbbwaIMU75p3fuxTBDT2J0Vc8tvTLO6fAsDynLlm8+K5BPDNa0ryixaq8uNFJPLPkvzylgYK4oHsMvSLoUzsOwfG6c+M0PIkqybwhC1y8+OyDvKx/fDzYx6q8FPwrO90Bk7wHgMq8JLM6PPfJ7jzrFEk7PaPCuloBFL3MbVO7VrHgPAawjby/TxI9PDUxPATnDD0C/UU8yVWSO14Crbz6ota6w3msvHiJpLyttQ29SPrDvH1pyjxRvtg6HIe/O2dD/js6+oO7K2zsuYG/sTwoAB26p89xu9BUzDyta8i8m+EAvA==
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 858
+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '90'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated content only
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '101'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Custom chunk 1
+ - Custom chunk 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 3eUkuXgsHb08v8g7Dr4ju+3/m7nWp+I8MCJbPRIcBr0XR6s8cUARPGlIy7zperG7hrFaOzl+7rxgOas6txp6vZd7zbyuniq91MuHO8OHmLrkuIG8FiqyPAKOWzzm7wo8OPEevcPRBD2jeKS8KitRvQivoTwo/yg8ALiAvFsdqb1kIgM9yMKKvNrdJTus5ES8vJuMO6vtLLx9gTk7JKGpvHSXDD2fsS089WNtvHxarro+Wss8TA/LPByzTjzn8Nc7y+9ZvB65Fr2pCqo7vS+wPHSul7uKnoC8ARRfvaOGrruVZiE7r0k4uwclR71/hVS8mTUhPNrRT7sM8VY7W+9YvKaHS7tnJD68HIvjO0fys7tuUpw8X9Xuu/PsBTpDb7s8c2L9u4flFD0OKfG7+y0Wvfuk4rttdQc97YGiPJvlMzxwcSE9L2T7uxvv/bus+xO7PEmVuRa+KLuH/bg7qQKBPEv3pbtZbgq8YHoqPLtmAb3udnI6dXoPOpSjpzsf96I3z+gsvEePa7zBaAi9JodvPKAZ0DqSMAw88MoiPN1xdjt9kuK7t43IvM1X2bsVMBI80N3Fu2ioWjur3Sa8xM+YvHY35TzXfRm9BtzPu8s/1rxIsXg8bFGtPOyjw7uYH4Q8xvGbvE//kDyP2Oa7K41bPKvvhTpQEfQ8M9kvvBhiOLpujre8ymAdPfDVw7vVCJU69RUkvWw9LLzPy4O8Ny4HO+9bOrxP+gu8VZ5avJlXUTy2KCw7dlCSPFw+xTwV1KI8216CuckHe7wYzwO8t/M5vKvOozyckKk7u6LwPORDtTz1l/y7cZ0cO+Fe27y42io9ptB6O6YTSzxWa6o6RReHPBhgD7uJ/Bo8RuwNvDb2oTxtFGM8SZNNuea4QbzPapG7YUT1vEH4BDtjEhu8NtKrvApqGjxdJC07a0movNBeFrz37yq9ntiEPBXXibyfVIU8gw8rvNqmUzxkf8U8GoLhu6WvoTu+d0M8b57zuwM14jsYEos8RqxOPAlVH7tyRBi8DEK/u7PWh7vwzZi8OJJSuylJKL16DpA8AL3ZOgv6Qzwcw3E8w3kmPKxRiDw66Bg84JwWumdfDjpEPT+7Csl0vM1AczzYnwC9qnC2O61BWDt42Fu8TxUGvK1sNroPhC87VumivEs1S7uxY6Y80GNXPeLB7Lt2E5Y7VIOnO7HrXjykqZy8gntuPLoMC7z6MiG8CRi/O1GKrzuCFCM9htgPPfXloLyNUeq7mdcvPCGbR7uKIlA8L3wVPIdrjbs1fiE8JuIlPcDZJ7xf4tY8NN52PLUbIjy9sly8cF2FPKuwkbyNpNI7kVNGvIa62rvXmAo8jmWsullOgbwbXFc8NdrUu0I3PDp+Y6k7JL1/O33ZiLzxrMw7p2e1Ogi5FbwwRBG8bQ5wPPvvbbyRQxg8uJcIvJVs/jqdwX+8owgLPXkOibxjnQy7sONNO8Sz+zx1ccO8JuuCO/q3MDy621A8S64zPbq9M7wL8zg8ab6RvMmpxzsHAkw8+QwsPAdQ+Dy9h0e72YrYu9Lvh7t6g8U8GMSzO+l8mTswZ9i8fJTyvHvRs7xIilM7Jb94vN0W2blpjNa7l5qqvObK7btgQCi8KkUTvR+1Nzyw0kE8vnhbPEYXdjxn0CI7gtBEPDKPnzqLzwm8tP8VPL+cXrvMS2A7PKjfvLUHlLy+FYQ6Fmwhu142Qru8xsu7HWvGPAfps7z6GRa8XGojvVafObsY/Nk8jlzsPB+HYb1wbm07fd45vXAPEz2qDfm8ZN2uvE/vzrtZiYC8G0PIO7ee9TxOLT88JUWBPL3z8LtwF1+8YYkSPOL8XDzXg1i9L5Siu3MBnDw1jrE70Ig7veStPrzwxpy8TXUYuwPRmLvNsD68H1I7PMGt4DzwLDO8v1sfO4CMpTu2nvO6lisOuouH77ubEcy7/PVEPA0sK723zq+8vPH6u1mFQT0baN273gkZvbxpNjwodZU8qerHPEJIjjwXMy073FTBvAqk7rtqoyS7ojhNu5bObTxu96g8bnjWPCacS7xYpBg9STKIvLnoi7vxAq28l9bYu4u7+Dx/nig8a9plvCnzvjpKPYI8o9qnvFr2tbvcYAa82ZWYPL1rkDw6J4U8wFqGvGHAQbuO13C8RuyGvKShbDxhrlW6ZKKuOyJlmLw6JhE9etUtPB+zNLzMZ+e5DGkpO8TIhTw2y9y8hTBpvEgtkzyfTGE8q30WvXecS7xENos87aSkPDEBBb1Ht4i5B7RJvLY2SLzBxLq7NZP2PBAOpzzvNPU8W6epPCOJkTu1gbU8M7EOupFVjTyEagw6f4jLPDbgGr03cwM8koOrvMUWlLyEO7E8dT8BvTJH37qRMqY8P+ksvY3y3LuhUPA8pJ6XPJGYU70MLi47xfcevexdVryrBgW81CeZu8XmojyBmNc8T1Qiu7zgBL2MQPe8bVUAvbHUnr2UoK48AndKPJ8GGbxIz1G89/HJPHWgu7xZdYQ7pO8qPHY36DxSAzW86OiZvFNJhryTjBE74jqdvBgTbzx2YEO8jjaau0DmHjxxU3Q8BqKYPdDaqbztx/u7vDMEPal3dLzxlDs9Mm8RPecxUDxoiFU8FPkjvFddbjwaJxQ9U+yVvGl+pryw/Qq869fDvHJiFLsPgLm8OxlhvFbWwDwrUAg8H4p/PKVRp7ztNqm7k+VgvDZ0sbyvSyC8gDJ+vXYph7wT0js80iKLPFQwkbuxkjQ5AjY2vbq5Dz22Ruc6epwgur9yk7yae467xiuqu7M0C71UdXU8eoaWPUyj37xwIJm8kwWQPK3+Bz2TE0U8FxltvHuAHD0yOKg8DwhKPZP1izvDnm88pAgivO8m+7xSPwY8MrzLPJkDiDt4aVG8hVLou17TUTzh8pw8V9b2OyVZ+brjp3K8n/2BvKMSHT2qfmS9p9XuuXVpMT2+5a+4E+plPImCh7xlIYW80zW3PMztiDzshLU5LO9tu1McOjvgaXi77DmVvEu2k7olJM08JKM/O77/qzz1LUQ6NLq3vIFFXDz7dw+9x7G2PDz3TTuh5gg9ouHzPEggG7vQotC8vdXdvJ2hpzzYLcy7TBEbvfqIxTtqDSY7KuAIvEHWYjyKc6w8F/AdvMKTHzz3hOm6nX8RPI+62zrPUKq8ECFwvM5X1LsB2iW8SeAxuyP+arygmrQ6s0oRvFg8Kr1NwaM8LguOu8ivqrsFTyS95CCDu7X0wbwxKdk81NCwPD4jhjsMkE67CKB7PNY3h7zf+5I8uy+avL86dzwQO5U8iuUQvCxQMry9ORu9TDmhuxliebsdwIi8xMgvvF17CLutDha8FwLeuy6qAb17gs28l0gNvDZYWjxE1/a7U0c2vforhzysnhA9tNzHvIzR2LqPwZq8rmX5vGfBtjw8NIo86K/3uyuasjw+QoA6VHbpPCQRF7vYyPE8zt7LvJPHubwziIa85PfKvH+8Gz1FXUW93cunPInSQ7y523q6UhFovJGIF71mkNs8g/lgvHSqMj2HagS8KaGlu4Zvq7w6kmI8tfXDPKJNhLzD7ZU8kyYSvVOCCDwe88E8InSFO375orxwn2g9riWguxc/hTvTcSE9zKD/vJu77TuCOYQ7og8lPA5uVDvKsow71hykPCbVQDzsaXw6ygjdPOdnbTwc0qo8TpAIuiajiTzwaB49eOrVO377Qzx9yzY966gIPVlSTTzab+Y7X+/Xu9qXLDwv73m8KN1du9d1EzxrkN46WS6IPKWdijy/wI67FZUlusoQu7xFeKU8Pf0ruyg/2jyql4i8ELfLvGCsAL0Lr9m81qBfPCnnhzyi2bS8NaIBvGpvEjzWvMg6jtqhvEpwz7sY/Qa8n8NtvHHMaLvXJQK86JTBPLkUUDwfC5u83bZ5PEtCH7u5kD08/OIIPGR8izyKHL+8PLmKvMIPg7x/gdq8KxIEvBme8ztJhda76h+rPP74qTwrnYY8MvAfvG58gDzymHW8TjOPvB4MnLt8Zre8HL84PG8AozxCeIy8JG2nu7o8hrxHqwE9JEuzPGBWLjmrfyw7x8gZvCOygbyZnJ68w4PkPE1HM7sOK5S8Z7N1Oxg9mDw1QKK8oWgIPH+6Yz13P526mcd+O/YtQTwG1Xi8RGUAPTzMjLuJQxO9HkklPH54KjyxuO07m9T5PFV2jLptX6w7e8bIvKqWBL26lpq7yKk4vOzMIb1rOSM8evdvvHHjUzz+U+o8qEMHvYl0fDzkL/87XdC6PO1wgruf7AI7FVC4vNK3Sjy8/cy8QNATuwwaojvZGZA89SPoPOCSLTiD7jY7aw+4PGszADxwyp07UW2+PFOGp7wcVhO9bNQauxHnW7z/UhC8k2cKPWSZRLzLp9c8IviovD3vALtlK+E8+mE5vMIs5blBzEc7aavnO5SXATwuA2e8CL0SPfYgazwvppg7PzvXO0oqVbs87UE8lnimPDYx3zokGQg8b7XGvPqV1bwdYCo8nPwwPf4NprzdGJQ8jivKvHFKuLzbGmi7SbnpvO9wpbzql6m6pfG4O/438jvagA098FrVPKbSULtCowW8+MCBPFAlxzw0cmu8FWq6OwQAljzOCZk7MfkpvEOx4rxAKqa86GaKuebd17vk0RO8DYXwOUTTAzw79968KbNhu8DInjz/K0I9N5MPvMh9yjxHMAk4g8zgPPcjc7v05a28Qm0MvXY0RD0oyXW8Cs4VPaiDozuxZ828/vnHugTWBTvrhqQ8UdaLum8xWDz4+gm8VJVxPGiKqjzJWgo9R+/YPDjXoTsWvaK8aW98vNvHUTwMAwm9qoP/PO/5OjsROLc8V72zvDg7Dz0QY6C6vwq1u0bKvzsE78g8ZhYHvEla+bxJoyo7FK6ou0k6jTvL4Fi9CPOvPPpXC7xazp88ir4kvB7Z7rzpCaE8gAfePLQnxbwc3428mUi0vLjSUjpSkzQ8Ev2/vH/iAb0/pEw8EMgOvJ8rw7wcrb+863mTOkmX9zvvK2o8pM2ZPHw4bbvfRYQ8ny+vPBJau7ugZc28k42PvINXhj30FjI7AXMmvXVlHz0VUQ+8AAiJPNrwPTwjFRy9jl+ou3yrBryv8fM8An1wu/Sa67yvlOE7K12WOnkgqDw7edm8xdPCvH1Au7z8xHK8zMyIPISIczx2IYs8iDUivC28MTdg5Q286Am6u6Y+ALxr9XA9cgSYPKaEDbkFgYO8PylOPPPuVbqeutU87qxKPS6PuLxISpe8MkgDvIzRHr2WAAW9e9AFO84GwLy5k7w7zo37ujRhzTs8PEq5dEm8O6JxpzzWuFI8ejc5PPqRujyT/qE8KZE4vVPpbjz2nOU7wOSVOzNOZ7tH84g7HAUSPYGsD7xA9c28TqbrvDV9GTw08NY8SINnPf8RgbzPbww8yH7ju8Q37bnNgrm8Xkk4vTgEGTvJ9Wo8VejlPMZj8Dt69G08DDMROnMH1ryk7ou8TPQWvAxakzwBz7K8WjymPNX1Ej0eLC01aXpavIy1AbyasJs8zWV3vJAopDwilDq7b2iVO8PfZrsqZRQ9e1KvvKBNZzyRIOq8K/AKvNroAb1HfUg7z3d8PMjjGT0vlwe8R/8AOqeYjrxsYFE8+NmpPAp3QLyWkkC7b8ZlOVjXTLzCyqo7WhraO+75ZjyZBKS7vsmqOnNwCDwd8Wi8N6eoupiuP7xT4088+CjMu653V7yhtyG8rNaivHcpCD0rTEq8BnKxPDn8iTuPUcI73yuSPHmI0bwiU7C8N72ePKAWILwnd+u8LjEDvfrHwjx15qe8szuQvEQSNrw8iRu9MPc3PHT/hbqfKo+8ad5YOhXAzjvXEt+8Hf5wvBmVQrubi648K/u8u+0AJztQJgC6BF46O/8oTTwVP0K8aqo3PB/IGL1NORG7/ziDvEbpbbxCNVC8EgHgPAyvArzxEt88970Ovb2m6DyDkqE8hnonPV5SDDw7fiO8e6nJvFfvw7w8+ZO8Q3jCvMQAwTtnmQY9Cml7Onq66byHRMu7kC5APEo3tjyblGe8W3c1vLhl2boOR7e8YBN5PPeWuTwE4lK8P9nEOyq3Fj03q+28cfpLvCX7/Tpn/vQ8FhVAu8dZpbt6j/454s0evE/ZWzz3B948x3HyvMJP8TytXay8E8RHvBTfI7x/jxk95aMAvW5vLjzi9tE8nsLBPECIHT1vqE48rwUqvCMPRT3GPZK8GErnu14RTLzM1c48TxG/O2+KI7zQCo87lNMmO6KodrzFzCy8SKiFvCyEDr2nvKI85AImPJHQkDwo84g8cWYrPejI27weUKM87N46vQv6zjxjyuO7S9GGOxdWLbxNuBO8cOCLvO9czzy/YqQ7MG14PGS9yTwSlm480ax3vOfdqzxRRti85Gl6PIJ0PbtR3Vs8JsZtvMD4DjuLEwS8CsMjvLxNKr1ll2Q8EJqWvOh0LjzB5uA7MKGmPMWbRbw+NBw8tmtmPag+RLxMeoO8+dDMOrUxrzxCkiK7+lBNOhDmLry6wiY8hQUeO/oh5ztp0pq78ZsXuhk9TbxXD1O82udWvKZGcryawAy6n7cROnwIS7y722U8MczOuya+9TyfLLU7ORHVPIny87yT0Vw833dbvNsh/bztMrS8/g6kPJriKrqsmGS7fBRau/aNkLzpT+k8tgORPPzGk7xdc4g8DfHeO1hWGL1BbY68v2OxvIYR8LxGo/K7EAAcPFaJXTtD+Bk9caqVvNFvqjsjtfs8uTIRvccBqzx+dPu7vmfqOzJScjy7fZe8aekfuIm6tzvRuL48q6YpvLXWWTxZzxA9IuLavCFUOz1138G8ZKlQPJ26Rr1TLNm8WNBWu1LZYDyJMwu9o5hAPOp2vjwGKXa8xPa8OzOl2rxSAfK8fP8zPetg0Lt0wCS9YdASPXrsOLziPBC6QhWrPNLDRTzrJN28HiOUPOOYqjyYvDy88+3FvIyTMjz1yUG81kZEPL0ICDt3d7C7JolWvSAyLz1VC1o7EvX6O+ZkMbvqeYc8EV1PO81fADuNiqA8UMYMPCjN5zvLiay87QX5vBrBA7wRI6y85zbPu0I5tbzVPo+8NMW7O6FgsDxVfzi8t8miPNPevrzr7u08Tos8O6WXnry07he71vHku8GsqbkGXmq8MuCvvNbcvjxM0pQ7IPq2PCeB3Lxp9/e83fmJvG/05LxbYic8YKUHPW00n7qKcr28jx2WOmeDcDzgvWu8R8OQPPe1Crwm74q8N4o5PNjyvjsI0BM82jZbvMviLrzjYyU8JIGzPJRFrTyCpju6YLHlOpdXNLxhjz67nQPLu88pCD0mVbA8HPEjvM2cJ7sOw9Y8+RXZPBMMzLzNuD088swhPbNckjv1Id07tFjKvMMI3byyEkK8dm1yuVdIkbyAaYA8bsuovJL/CD1iwA274FcFvAqenDsbJdm5NttBu6GBE71G+EK7/6jiu7Ht3DuOHkO7Hly5vKQLBT1IcPq8tMRGvF1szjzisgs8xW84vO7MPr2BVRG8jwWivNvFYbtjILC7ZP6EvNE1abxQVfW8zstOvDDMDj3S6rK8STFOvHdvTjzwWNK8RvRYPPdb6bxj0OA7B5eNPGgHET3nDL+8s/MBvUypKDv6yC89l6iKvCs6pjygMZC8IHtOvLLa/LycY446KrzCvKLFRDybS9C8KSLMO7lz3zthYuI7FIAJPFj3ajyMt8w7T2AUvHqxcrxp0Pw80bIOvVsZ7Lvqsvq8ptBTPKsV8LyGvMi7VLGNvBwT8bxA4is9IfOkOzU4Mby2ipA7x2j+PIr+vju1NZ28mWtTO94k3jzXjMm7cWx2PLZoibxYZus8X+xgPe6nS7z7NW28bFUQvB1mIbyHYhG9u44LvXBlBzpNrBc7j8AMPckr7DpCFDg8Fq35PPKHljze9SI859asvBbYdbxqnIQ6Txv4PFcOJTx5H/i8ndOuvGjGM7ys+z+8AcHrO1N1Kjy/FW88sVGHOwppujwnpiU83onWPHG4rbxHP6S7IoXyuxtXBzyZWqq8fN79vDnhEbz6+3m8LrFdvJtHMzuviE69YQZsPMIJ/rz5M907NjemvJORNDyGT2C8K0nvPOKlbTwOTSm8t+3Qu59NvTwvhJg8PB2AOmHD/ztzms27aXC7O1RDNrzTEm88zZDHPFSw37x+ewQ8+zzHPDabTLxPJY88QwvqunkdL7xCjBU9pWuJPINSSbzyfa08XdaHPHp8h7zM3xm8iRwBO+PqkLuito08LelQPA4fAz0bDLA7Vn++vB6NSzygJFA7/6RavCfxNjzESYq8auG2vIJsJTz3yuq7+A6CvCdUorvzxcc8/6EUPDao3jrONsC8RR9EvOjnej3VRA693JVmOCDT4zsoEU+70hRsvGlCA7zPYkm9a6HMvDkWKbyveM08EbvPPE3yLzwzSRK8DyRou6SFiruqto08Pz+JPI05sTtjIis8shEyvbC/7rwfNLS7HTUJuifvmTw5nhi8kCx8O8HyhbsssjG8aHVYu36pyTsyv0I8qtDsPJW1h7yX2KY7ssPIvEQ2ebxkdsQ8AAwEPZJNEDqjYr+8CQHgO5U4+bvvmCS9t7BluvoxpLtLXRm9jFFgvEuUgjxHysY84rbhu7UTJbtVuW88E6SWPGn6izyBZwC82KRgPFiJMzyQNd884M0iPAdFTDx6gmo8xUNCvB++qbt3AzI9tDP+vP8yfDzlCCM8amIkPDWYOD2NY627/Z8Ju2QnULt0VhW99vz2vBzUl7z6/FM9owqlu/MuIzx7mKm7x9Exu73ysjzRoDe96jbQvOVPPLwNcac65Z80O5cMsDqm6VA8sDpaPEDquzssihW8oJuWPC+nR7yQuTY8YD+LPDI4lTvuh/W7xZwovMkojzjYYse8b9G3OiZ/djw90bC8oZo7vGvDCjwSqpw879wQO3fRXLsulke8JQI7vNjQxDzFS5Y8VrkBvdL1FbzCIra8LVzePGvXSLwI6gO9g021PLzPBL1gYhi8O5kiPVBcHLwezgi9Z4Chum87IzsJJqQ7yEOfvPFrWTyuDAk8F8gwPH1B4zuMOiC8xKkFPYVS3jyHT6y8tmK9vMhSILzAO/K86KqIPOm9nzzlUmW83qk7O3eEAzzOHmm9dZ8Ku+AtZr3G+Mc5o/INvK1nHbyFHQq9Vx7evHadzrrBogE9utqlu3ai6zsJm7O7RzxWPBotnjw8eq88mmrDOvVik7unJIU86DtRvMQAKbxxlbE8lKKyPMrlFTzu2em6HN2bPH/tCj2F6kO9kCnhPDdEr7wmsLi8NP6uPGvg5rw9AMc8DXeMPPJlDj2SsbK7Zm/Ju5YoDjxBbKS8l6PAPNfKdzwYTf0724uqu2Q5k7xvp6Y8qnNHvLxRxrzyMWi8EnZUPBvihjwO57Q898frOifDJ7wAdFo8sR4XO6fuQr0WmBI9/rG9u4q6YLyS80q8gkG3PFmq7TrNmws89w2MvLOVJ7xwbZ07qdrIPLZnMTxq4f88y708vFC62DyfGak73Z1Nu2QPFbwKvaW8DqQLvB8BITxvZsW8kqczvCoJjjv5I9Q7SGzcOi4Y5bxZS/s7hjbluwiLTDsG4dG8oyTVOzcwLT1zkjS8EajbuzrZg7wGTvq73MwDvNsfm7sK9r46UF1GPNMupDzGnNw86TegvOR4f7x59SA6kMyfPGNXjTw2GvA83bdIPJYVxTz1FRS84pDJPE8/MbudTBI8xiegO1AkRrypfDA8xaw6vBSNM73WlZK73/z7OxGXar08jPo83aCSPKtFC7vNJDk7ev+Qu34bMD1vvDy9LwxFvItzlbtjG9m8/RufPAKWhrwL8iQ8TvCBvGZyXTwpYuA79cAOvXdamjzSnpw7ex8hO7MzbzwR5A08qBCDvG1bKjy+ayc8CQfnvEsY+Duxsac8Da2+O65tBjxDIhg8HkqfPM3AdDwVqlW8dLKevFdY87w9OAw8bNOMOz9uYj2S4hQ7SwocPEktx7ubMxw8DuwePJYOaLndFJC8s/YZPIPMFjsepI05/scsvOVwvTxWTaq8aXYMPVLrBrzsyMq7AsqaPLBZQzzMmLY7wZQ4PdlXazz+wvS7u2vSPDRplDzVfhC8QNMfvH2K0ju4bOw7fUk7OQBPiDxvnxS8PeV9u9Ms/jwkyd47emQIPYLlLzrAHwu9IXAlvMyAZDySgeE4XSOBOyfW2Lun4ei832MivfdfFT3HWsC6y8FMPOS5erzTur+8iCKePMU5xjyKhMq7WSobPYAgt7xCacW8aybOu7vxijwfJd48bW5fvDvdmjw7ONg8sD/MvF/ZnLsZtYo80ZowPMOOqrsSjKK8LoojPasx1bwSLVk7Ovp0PHbmAj1Ru8u60LHnOwGTwDybBwi8ykM6POCVfjtEvjg8y0Z0PEpXirwqkWi7r9BWvAUeGTxi/0w8CmNWO6opxbweRzq7pEXcuxubQDulGgm6ELUPPID0Pb307MO7KRpIOhM507pZJ+G8L8ZTvTLio7wzmAC9d/B1OjVM3zsOULq8NNKsO3hLOb1u2ZS8+3mHPAKYrTz/kk08M+zUPGK6oTwW6Km8ermeO7d6J71lLB29Ibo4PVgQWjtHvd+7rFuAuz0Ckrt7XA48AjM1vFCNjDsk7Om7vJ4MPfvvN7mUSom79By/vKrcojtqeEs9QcO7uFU9VzxknCY9ms6rvN/KtDv52KO8UFVkPHa31TyIgB48GUl/vBszBL2sKMi8FJCVu1EO27xH/+G70B2+vLkIELwo7jg92RC2vOSBdLyHZSo8PfVFPHtlw7xeuda8V6yOvIHPpDyLjgK8dAkzPMD8ZDnAGQ48uczxvKz6EDxHDuK8dfvfvE+Pc7w+Y3E8TOHsuwG3WTwlHq88902Pu3xAPLyh1ny9rAFJPACA7DxGnXS8sdjMPEHsYburYjO7VCfBPMbwfbtlbIa7owPnuoMrHbyC4oG8JDKiPNBs9Ls1fWM7yI4PPYj1YjupE+28qC0OvCXPejxuiDq86ucNPI2r1jyhdZ+8lXJRPCuU5jutd7S8xWpaPAuk8ztwHS08d0cQvU6PpLwwE4c88XXNuF9TNLwcBki83c9PPKOdFDx1C7s8GUUKvKznzbxMQUG8ly6XvEnNGbwkM1y8G/epPBNCnjx/H4u8F8MwvXdGFz1d0ic8Ta9evLSdJb0vq3Q8C0irPHDGlDxzOdu7AnUQPXOa/TwbCjg8DT51O8BcDTtlgXy7oziBvBUBmDy/M967HleQO47NHDzf0wa9TUNDPXwLzTvb4me8auRgvHF7g7wpFnc806CVPGOFTzzdPY28GUbbOxgdbbv27Bm87bHgOyBlVjx649k8QHVyvGvOZDxfIoY8muSFO6RYiLzAFeq8mdEePPOAmLyVAKe7RvjbvCBo07zBGZI6zwMAvQxhHLzTpFS9MLtHO8igODymcW68TgyUvPZS8bs9jgq8yEvJuijdUDuEFYU8Vt27PA/7RDzJLQc8ZncKPEMpXjy59FI7KaivPG+XUb0Fz2i7vuIMPFtdkrzyZM48maI2PSLcjroh9WG8BNv2PAfXF7ww2A271ZQhvJQ5TbxPkCG8R34ivSuM7ry6ZNw8cemfO+sFbrzO7p06qbEOvJa9dLzwPVI74fqKvM7ckLwpAka7ek7oO0u0s7szXe268nPaOz8oD73MF8C8VPcoPIpLLTzwC3Y62S64O3P8QT3GBT27eYVHPRRtobsh7Fw8QMBMvCXtabzS6Ws7kB8cPBzbSjsMuPO8my9lO6aCM7x3DB08qiV9PN/rPT1kkyi8MVOluo4oAz0aIqm7YrEPPJr0Nryz5qg7fXatPPBlFr1n4xk9uBqdPKUQE7x1TCY9hycAvJmjSrwLu687XizaPOU3o7uZRrw8wh7Wux4OAjxASXo72cLeOuglsjwjJ0+7SBnnPOXjQ7xkPo47MjzPPEsv1LxHq106ze26PBVKB7ybz6G85WndORP2QT1aok08D4eGvNnDQr2ETY47Hf9JvDdwi7zPU9E8WaGKvI35przOZP07l4DZvFderbyVzho8AaqQvMRKALzQOZ48I/wlvAoEGTw8YRO8lWbfu4ZpnLzwuSU8Jh5XvGNGeTxyXKo8YE7EusjlEjy7NKy8+4VSO7spmDtoL7q7egioO3w63rtvlxw7NSEkPFd6CD0PqmW84MO7O7TO0Lvjtog8vllEPG7vpbvoyYu841qMvMECprxp+bO8VqGPvC3JGTtcCLa7q8jkPIbnF7sJkdc8Uk/1OwEkVzyE/7y74oZbvM9UiztmiHU8M4W1u/YabDzZ10o6rkUOPFVluzz8uek66XeavN7n1rquriq9v8DxuwFHWryHqOY7RkPQvKd2hru83qe6HtdJu+yplLy6xzC83eIgvcr4cDxvUf67az39vLUvqzwKqhU8mniyOsP+TDxeZ9i8BxBGvE0sGz15t688lF3vuh5UZjxddm+8aWGmvCv24bo6R5Q8O00yvMZ+rjy7NHO8W9QfvCoWEbqhqam7c7PTvG3aqbxGFSQ7ESAHPRrLRDxn2Uw8rGINvALMwDov8ky8g+0bvEn2uLwKI/67GBgFvFFu/7ycVyS9xvpVvKfk7DtbdIe8v+0kuy6DqTyJWZG84rBvu/vHLrwb7ta6TepFPCRSmzuuiZw8TkNKPLXeiTtQhPe8NZ30vHFa7LpyFNA8uu2vPMcULLxBi3m8wpi0u4Hqibw2jkg8CS9nO1lofTwnZqc8TF89vJY4PryKoSG9HKPcvBFyrbyA7Rq8zr8nvaNnAL3w7r08iWs7PPzYkDyPdP48TlWZPG3cyDthgdI8eoHwvDwf2bsN2Da7YUURPcLnEjxpVGO8WDuPvBTlObxqbBE8abb+vGaj8TrstpG7ed+WvHPh0DltK5M7mWONvIHzRzrwbKa7zBieuzV117tW5KY8p5mFvFiZgLskZqI8gp57PHH0xbsgRBo92kbqvHx6Ar3mVC68sztmO+afVDyJ/EO6tuIEPExJVDz9nqk87u8Pvf4X5jwi06S88P21PA1sZLxWH368m2u3PMq0tjx/Uh47fuOZO05m0zxqLD48NossPXnaxbw1Cv086CK/Oplx9Dy2lvW7JnINvM1Mqzyi86s8WjsXPHDi5LzbSk08MsO3O0BiDzyxzks89ojsO8KqNzv9ebk82T0HPROOp7xFLzg8kEn6OqtWrjxECR+8qEn0vM9iAzz5CaQ8BDxHuzKKQTy62MG8XM1zu5Ur3Dy8OJK83NVzPDALnzt28ZC8hkH3uymFLrwdlgC8HE2svNCPzTvVTzc7o7PNvKHHSzyp7HW8VUGjPGpcwTzAKFs8UgmFPLSjqDuIKTC8nPnUurosNr3kgGI8LnuQu70ZtrysVCg8s9SQvI6KR7x0HXu8fa/AvAGVpDwNuXw8y4r/vIcyKDwDwE88t5VdPPH9OjnPvoQ73sraO/bcZLyJcuu4qu/EvJY9jrvUHCA8N1bzOnU7Ybw4jao6f5y8O3l1qDwb5Aw8hSnyuzhBfrsfQWM83F4RvFMkHLt9ZYK84tMWu1iQ1Dzjlhe9N6hXvE2e0rxd/ku8QxrxO3IDcLwW5Ya8PSkIPa3wrbumm5s8icR0PG1VCTzCeoe8QzfYvA9EbTzSe4S87OP6u7xWTTpUavO8j77lPDXRrTonQU07Hc0OvBFjTb2oFO07wFhjvA==
+ index: 0
+ object: embedding
+ - embedding: sa9uuXpY87wB5Fs8s8YVvMq6Kbp7cs08k3FKPX+vB70t76c8wdIbPO57rrwdUj888b+0O4Wv9bx8dVE7O4BlvTHhEb1SHem8y67oO1H1B7sj54G8rib0POQkMTyC3SQ883ApvYNgCD3AAZi8kTAcvRdEPDzUqYM8qlOXu5Rsor2MlPU8VG2rvIYRozvOniG8SHZuu/ppI7ypKwG83IDhvLOLKD1JTv07q9m2usZTjrrEkMc832QvPTqxfDwsLg68wYqDvBNrE73faDA8CFikPL6FPbxUmo28qU8CvbpzjrsFNSw8GNeduiTwK73BS728zXIAPFJj6rvVreO7dWWhvFKtJrtfFYe84ON+PPrxsrpGHXs8yZdtvOim0rvqbuU8eww2vGOsDz0heoA8YOgSvUJ7+7voERk9Onb8PIfJLDpHyJ08v4/7uxG6uLso0HO5FHkTPA1VvLueHqM8Pat2PE0cB7tJATK8RjsyPHERCb3iNO86P8zAu8pJvzvL8J+7rVd1vA6FGLxqEwS9JpJ6PHfhh7sd+TI84zcsO2bMWDusxpq4RRjjvINN37vBGBw8iYc1vORCuzsyPba7Ih4ZvMJuLT0g+rS8gV2quw5JorxDgq08lNGIPCT2Z7sdxYw8No25vFT5oDznaIW7TIGGPIfkujrHeQc9QNrmu5eoTrs9DJG8040hPT14wrkuFJS6BP1lvKffhLz/PGu5VUaGO9Bcmrxj9za88DmJu1hONzxpcBU7aTEvPM8uvzweYaA8j/Mtuw8fkLs5F5e7ggZ0O5aOjTx8+FY6xyfKPPI8wDxzqzi8noqWOtj407zZNic9vqaCOyGOJTyVX1U6ErOCPK6k37qdgvU75h8HvBvYAD0GWzI8ATaDO/9QIryREh07O63fvC6WODwRAEG8p2UJvVc+PTtvCrQ6vTa6vIiU2LsPxTG9z9DoPMMkPbzOx2U884VdvP94HzxIduM8xPqMu3KuzTtCtDg8YkTxu0n+ijs3lYM8vvtqPFO2cbsd9iK88AkzvE05HDvksbu8n+wOuyZ9D70agwy88aZ3vBbsYDxjopg8VoYTPA6QsjwQr7s7uoZcPKk94Ltxgm26YPFtvPkICDwHouS8l8nRO919Cbsi3Yi8LkuRvKhbtrsxZWK6/PSVvIeTkbpw5aU8PYVcPVcJC7wyC6g740O5Oo9xzzwG94+8vHsqPHNZJrxW6yW8N7Y0PMPQoDv+Iws9QGsEPZb8przQPRC8/actPDAKFDvOHWU8Ua9aPFAF7TldmQi7Xxz+PCg8Kry6lr48SSVuPF8AJjwO8Bu8optTPKs8pbx1KSA7z2EnvLn+OzjkOdo7jDSZu8v+o7vFEeK7NJStuzLsBDuoazE7AwdVOso0QryWaQ85Blyuu3TrCrwj7y68kg8ZPNA9gLuhJZA8d9qMvPBHKzvpUS27ECcHPdeYfrxFzGo7uctCuvCXID2NzNq8fAntOzEKVTvxEYM8C7MgPS54iLwBN6I895sCvXc0xTvz3Tw8ptdXPIZjCz3jObM6tj3VuzRzk7shH6Q8tgcUu4L4nTlL6py8yoNnvDLBrrw8KW26scmCvH19JrxIRny87xoOvCkwIbzcfsw67Sf5vDFvjzyOAAs8g3ksPD+UsTwBHZe71uD4O0HQJzyOeaW8P/kru2Zy6Trd2J08EJcXvWT2nrxD9Oo7kD53u4t7BTzPBQy8cg+4POLvlLyGWhq7SuYDvd6VfLzo4a48O8wKPTk0Wr0o/+47UbUzvbmlCT2AKLm8QTaqvGz8iLwJQDK8R8S2O7rG6Tzjf6M7XEMgPHXYHLsuDFO8QilyO4UKbzuVVkS91x84vFtyCT2xGV86YvESvSRqBDuKfjC898yMO+RglTuRWj+8hmVjPNRBHD31pHi8YZAHO0CYYTwuexk6FXlYu2lOBLwvDk68Ry4vPJUuaL2sTVq8SBILvG6/Sj3UWf672IwtvexMnjxWP2I7HloEPffUiDzCpxE8S6WEvIjFKLwS1Hg7MVKkO3BUPTzZcZI8uqLSPGayfryClBg9H6WJvLxIgrtsCQS9UoFnPCXNrTx/MZI8Zl0wvNHK07qovRY8hrW3vAwf47ta4xk8iKSaPBv/2TzeBJQ8xPxYvBYvk7zsp8C7vJCmvNzubDw1U5m6e3e9OzD9Ury1DBY9KSd5PLFqkbyRnKu7AwncucOblzwkr5S8pJSKvF/QizwyUvY7oaDfvEs12LyzDus8ljnFPNLRA71fq5E7TRiAvBXT6rvD5X+7bgwLPbWajzzln+081YSfPIgtnjtXCKY8jBnwu9pIEzx/xBe78yzPPLyjCL1EzcE7DpsGvXAvm7wfHeg8HFsPvTTYjLqdlcs8uW38vMlG0LvgZNs8q1YiPEqHZ71hgci7ktsGvZyX0bvdm3c66TltvFJjJjzKPq48+Acgu46Irrzrke688akZvYKng72xuZg8+R2nPLL5PbpdVZq8F7uRPPLjx7x/vXE76hMrvNl1ojzG1Pa7DUbavMYOwbxXfcU7a32CvF+gejyg9nW8RqcWO7TrUTy+1HI8aLZyPb+cl7wsmpc7KEEPPTMe9rvo60o9voUOPZvefDvB+o882Cf9u4aUvDtSShM9QQgEvdZi0byXH+m7AiHDvFXqGbxsHfS8Pu1lvGdl7TyrjKQ74UV1PJKx9bzyryS49QnAOrG5x7slcpO86ARovRQ3aLwmQJo8PPhRPGIzRbqXbWA7kUs5vcqmID2VoFe8dPcBPK+uA7xQih46Q85OvEBc57yA/5g8lIiCPW4YBL0gJc28Tu2HPGfLJz1Gv408FcOPvE49Tz3/nDC7feFHPSxcxjyt4xU6JY2UtlE16LxkKhO8FjqKPGgBrTumthS8wYopu128BTwWzow8t82bO4CGvbio4me8E2UEO46hxTy8z3W9obuNu+TVMT1ivjm8vokgvIkKory6xWW8zYFUPGBQHzzF7A+8JuAcO/kSxjv+iAK7w+SNvONxEztVHAE9UNyUu2h54jwDUza7V+CovB0qSDxXZfy8fdS3PPdRoDunhqU8cSZUPIQ6Iry5irO8r5PEvOyMpTw0rUw6FaLbvHwLTTwSQKo81GVhvHs0fTwmZyg8kgqbuzJUZzypKI07KyM1PP42YbwknwC9QQSTvPWfSLz+rTy7EHkxvCx817tmP4+6BblEvH6tF727f5c8kYnAuztHd7xyMGS93DlXvBZHoLzZazk8GSpZPGMMMzyoviO8pQUAPW0nnbyJjq88Nos5uz/VrDxj7rs8qpeBvLiRGbxSXkK97y63O6yaGbzQVqO87yvbu++PajvyBau7NSYbvIJfIb2uTqM7kR4RvJncMTyT0m+7sl0RvWnJVTzTTgw93xndvOCR0TtbC367EjbWvBIlvjzuwME8tvNkvLI2xDyZAQO8pTRePOpaEL3tDbI8znO2vPcNlrys0VG8mIAIvV50Ez1pZQG9j2LCOx9fx7yTXp28TV3Zu4kWAL110gE9I0AZvM8DsjwyciK8MTXquzpV6bybpR0835fvPNonDL3hf7w8YmBtvCPMAbygZNo8MaNuupfY0LtaTpU9FEuIu6+3njqMswQ9corcvMopaDv1Tta5xBrdO97iTjwWHTM7BurwPFzlCDxNpj07PKHfPJO0Qzzr6po8KtJ7vBkWLDzG7vg841cOPIzU0TyWEj49OWQQPU7Cnzyxfcc84g+8O+RUdTz1C5y8fAYDvO6RNTy6MbE78ja2PEg8lzwiORa8cIwmunlcF72oOlU8OUAyO9nBCz3Sss+8KVc5vUyl5rx+hhq9A+apOql3zbqIJLO80ASbOo/L5juuMkK7eJaQvJWJMLt2wJe7CKgvvOP6MjuK5km7VfXmPMNkRzwSKJK8V67+PEmqVDpfTLA8WKELPBSrBT3lyre8Fl6euVPZkLtf5iy81h9XvDfOUjxy/m66kPnPPBjREjxH75o8Uxxuu8YdCzzZn6K8L98/vD+0Crx7+AS8aeUoPMsgUjy0oSu8wE3vu2LqZryBF+k8xmWhPPOE67uoDMI7Fbe4us3oerx9XOy8+ohDPNUY3TtIE+m8Us2YvCjwFDzhXJ68Z9FROuIrYj1a5pk6RatJO1AtiTvtYUe87DjpPMmaeDviVvq8q7FVPH0cJzxwFYU7djD/PEHZvTs54j88wALOvN1dEr1yCpy6lcY5vFxjML22xQk8rwFWu1TOBTwEmBo9fSPDvIxWfTwgjhu78twgPZru5rtk8ry6upzbvPZeCD0/TJK81WoJPM1Z2DuZZSI8uoqBPBJymbuIWy88CDCmPA8jjzvQcO47ILhfPJi4nbz+u/q80PzyO4eMYLwMY4O871QMPY40+ziGigo9GszkvBTja7ra25k8jzTFOmbqITvtCy87jtYgPC43ijwN7qG7DisRPeCtmDynUpE8sRqbPPXQrrtYgcI7gGGhPOqZdrqBd4w8PbMSvexDorznwJa7CqEGPYavl7zd8tE86D4ivVQkuLzV6ES8/rNPvX++V7xITD48zbvgOyrjzDzStAE9BK/0PL2fk7s6wWE7JcKePO86oDxkcOW79himPLnUwjxUPiw8DtjZu+9J8rzhDUm7MgJDu1OHnLxoFj28oug0vEOX8Tyy5/C8eBnjO34a7DyIOoc9/b4Huwvs8zycvl08ooSsPPAZlrtJip273+0ZvSJHDz0OVoK8jq4oPZVdPrtNF9a81w5Qu00gMLxDqXE8vPRNvDBikjxeyhW7apuoPGgbxTymm8Y8KBIxPMq9/Ttq02q8ADxfvDK6BTsfBge9RykFPaLU5jnopNM8WTvHvDNIND38mJy7IT2xPK5C8LuZRpY8QM9yvHNK/LxTPgy72nokvEaWmLu1I1u9YItPPHoTXbxcM6A8gJCquz02ubxLetQ82CPnO8a+wrxu94y8iyEpvPonObtso4k8Tf/7vBmiFL3Awk8871S4u46IxLzhBrm8QgkgvFN/pDxtZv87lZNmPCTTcbwWnJU8k2SnPEO5jbvFz8m8fadqvFCuUj1a8ao7ysYovZhLGz29bc26kT+lO/sZJDzH89i8Q01EvN7VwbtVQgE9skRFu9WMAb0tOeM7x8mnu8jYdjzXPvu8BXgevDrXpLxi66u8IQ7UPIW9Jzzuika7bUKTvP6fybvht2y8rgY0vGxeBrwEpFk9iFeWPKjU7rrWdUu8pS0HPaAaczwH/dQ8lyRLPU3thLxQE9u8PQfsu4UZtLxrseC8/T0+O1LA0bzfFQu7Fp04uj4LJjz9hqy8tobCOxZSmTyn18w74zM5PI58sDx6hlo8Pus0vTUFsTtVuIc8RQ/OO1HdprxEGQc8Hf8hPbuuf7rDSf28SW/QvC9xiTwJpGc86GyEPYgc2ryJFSK7JpS0OumCsToVGJq8UkI9vYXGArlTbak8lmk5PbPwors51FA8DL0HO7d32Lxi4LG7wnqSu7U/wztIak+8yoIAPObNHT0yyuY7SkyjvMwlaLzXDoM8hAdvvLNInTxFr1K8F5Wpu8skFbmxlCM9tKtwvJWjjzwtIZm8WqOHvBkJDb168CM81xPdPJFTGD160ke8HXCPu+qvWLxFqrA7JZVYPKY+nryw/NS7a5U2PO0Bj7uQ9yA8OyKDPLozPjwuxHU8fLAouwMK6TuhjYS8/A9xPGEjNLyvHik8nwFXvLW2o7umjLu6N/qnvLiyAj1MrIm8kqDePNblvzpQPaq710d8PPMM1Lx2ZZ28+XWaPCaoT7yZKeq8CA4Svb6KoDw9nbi86t+FvGk7nLtXPiO9ovRsO44TSLt0mK68QQ6RO2iNFjyIErK8gFxFvAh+ibxFQKE8DZUXvCoqeDt4Chm8KVflOmn8vDzLbk+72F/3O68qBL2XyIy8dAi5vN7yCL0Hvya8OV2+PCVp6LsCgao8Hzk4ve8hHT37TUE89mUzPTpWUzzbF4m8KQ9fvAr64Lx1TQ+9JBmzvEeKUzvgt/w8KnbGuo4OnbyqOYk6tNvzO2QB2jx26zu8Ya0Tu7/7mDyAs/K8Uo5dPLTz3jx4Ebg7NkM3PFMFGT1Vk7W8RncFuUebqTs2D7o8JZIjO29dcLyebz47X7u8uz2pwzygLLo84OgSvRZSBT3Fxp68mWmNvAC8cLv8ZBU9etCnvACTXjwc99U8mkumPE2rDD1sX3U8R9+3u05eOj2FHm+8u86fuyHoxTvt4Kw81ej+uwm/JbyHxIw88pnPOhApY7yn+RS8hvSFvCGyFb10/ME844bKPIPuyzuzLqo8zhEEPWm/RrxAUOw8mJ08vVqSTjzcl227BmEjPMxmx7tN2ai8nNtYuSyF4DylOBo8k0UHPFJCfjwWuD08O3WiuxljyDyIDwG91F+4PGEAAjyqNeA7Pym2vJIPm7vqBDi8eSOXvIUQOb1PtEk8+GTwvEzfIjyO2Bc8KgCbPCtrhblMxmQ8BKtcPYGBgrxezVe8xMJSu+wOtTwfAbO7y7uSvActNDxEATI8Vn62OgPS37s4GIi8PpjHO58l+LuK1y68KDN6u20PkLxZ4Ko7t00qO30YqbunRhw8mC2Lu6pfxDwdb4K6iDmyPFI1/LwdaYM8yZpSvKRs7rxR67K8xT2FPAn1B7w89a67WsC7OuzOb7y2jcM8piy9PJy+qrwyNYY8Xz9nOjmJv7yxVAK9l3+tvLX2grxJpfW7vsToO4uWYruXm5Q8uPk+vAaX2jvXPSY9oHkGvSgLHTxeao+7702NPAU0VTwtq4C81WW1O7yREjy7ArU83j3NuwHUhDzhQKc8faqDvOsjDz210I68PeDhO/AYO73YnNu8nma+u0OfPjyintS86+EnPNbyEz0Nsou7kNuiOwHBq7wp6za9UNMxPT0OMrwy8Aa9X5EdPcNhIbx5fIK81Kz+O3SJNzzETfe8L92fPFZWxDzF+268FVP8vFL8abpF2C28muVCOwORmLtNf6O7zeZyvZUnGT185Io8YnPgu4b1yDwnJz48XS0xPGyLgbyzNXY8XNiSPMn+djwI8n68Dvb2vOTpC7u3xJu8lEwNPMe+4bznQ4S8tcOuO613bDwVFIi8oErRPHUPyLzrcZQ82zNWu2M3jLwGPha8KQN0vNgcADyBfD68Z7KyvMOa3DxR4pI7Xqr1PDa1obwPrhy9zkK5vHs57LxQiOc89R3OPMQyFjtit4K8FH4DvJ8maTxk1ge8YNWQPPLbrbscXuy799e9O9nb5DvM4pg8gpfIu6MFSLxItkE8KL/IPCAxKTyYWIG7HwGTPJdA8bs7vIe777dTvC4gmTwbZjk87C51vPFEwbvkmoA8p2JMPMmLwLywp1w85llAPUXAAzxxfiY8EroYvRo0Hb1hCBa8Ontzu17KybtccQ080oNBvN6QCj0sYgg8CgFWvBFuBTwR3WE6XSXLuwSX6rwQZsA789eQvPXmTTylCTe7u1DTvDjxCT0Mzgu9u4wevJ4EjTw57Ak7I0EBu6s+Lr3zIb+781G5vO5BSLzsUTm7sBK1vN4xNbxZUb28Kx8xvA/kBD2WRNy7oakpvBqkdjwmxMe8+hlLPKfvr7zt21E8FgGyPMTS7DzEavO8qp3uvMUVnzoSI/08d3NRvKhJyTwY5zy8ce+kvBrU2Ly0pWi7ekXgvMcYBDzsPMu8vNX8OwxzTTzqIzU6v1SRPN3lvTwG0B48SiWgvMn1uLzQ6Qs97ubrvA+mlrwLLBC9vDnRPKW2oLzPnWi6AJ25vOHY+LxQfu48jLKEu/GgTLwM7vI7zVIFPYKN+zt4P4+8pjVgPJKRmzwcWC680jC+PNu2VrwHq/I8Wg4qPeoo3LtqbwG8PLVIvAImibveINK8OczqvLG7t7sSmlg8goz3PKEL9Tqf2cw7ztPRPETpjzwQPpM8VRI4u2YQarxzD+e7QtfMPBdjVjwS3xq9cceOvNqt8DkaH7i8mO2dO96DXTxoNE08izJhPFnnyjxE1YM8ep/HPCFlhru1lQ27pmuEu+Kr+7qNf4O8MdYAvTxbB7ycCkq8RIeFvKegnjtiijW92Q7DOzM5trymr7Y6ehJjvPU3FTyBY228h8vhPB5orzu0IRG8qYypOK9fgzy3wog8qgsZOVzEezzScSk878a8u7CQmLwUWIc8qVGgPMT6Jb3k2dk7wJenPJZyiLzbmRg8FCl2uhMjcrzniyE9HMaFPCFsC7zeopo8dWUsPFDJabwOYGm8QDGwOY6vBjsgK8E8yO+uPDpnwTxtI1C7jVLOvBUHjTuChLY7+oYbvKvLCjyynIO8xDprvFTUnDtjym28K9cbvP1F5LvSv0Y8WS2MPBqq4bv3wbG8jfH4uzdtbj3hwgO9U8yMu4vXgzzJSGq7ZbvPvMnk97sVrSa997OUvFnXprtdjJU8Z6i3PJjIETw33/K6/UTCu4zHUbzHaaI8K5pDPBLCxDsfCAA8O4UsvVGDdLxmV8y7juMjOxcYJzz839E6b1WIu+ToPTmQJvM6INy0O8dJvzsEJOC76+a4PCkEO7uD1tU6k4GZvLnWPrwFJMA8fcI0PeDGBryJ1AO9O2y8O+4+n7tJLhK9QW7Ru6/lM7wGZhm9UPI2vAHkHDwywVc8snplvPfzLzxt6gI806KcPLAwmTzT3HO8+YRBPKa1PjupvI88uROePO8wkjyl7V48jOPQuo9zGjwc2zA90mz1vJQedTzimYU8Gp0nPCoDVj3H7tC7+jjVut8aFTxVa6e8KwYuvCXf0ryuBjQ99JgivNTcxju3iV+8joMiuyuvFjxBmkW9F6ObvBjY6byZToI7UkK1PJzfWrr/vXQ8lx8iPJKBITz19YY7hxKoPI8gtrycWWM8XAqLPEulqzq94NM7tOROvKJnCzvRUrW8Kn5KPCU1dTxrZ6y8z00QvOO3njzvxAU7fitGPJlPpLrx+hi8wnQbvBUAgzz5diY8NlMpvR2UILz5Ek+8X4P/PMPDqrzemvq8TgFHPLtjIr02Hea7TjYDPc9lL7x4V/u8KSPCuvS0QLtPcIe7FUBKvFt9LjwpjKI7inCUPNmkbzxWK0e8AC31PJYH7jxLjaO8KALavElIUjpJSrS8ZcazPD6BkzzwTMa8iCboOiUt1Tvw12K9lBNxOgRFSL2IhQC7yt/su0tqBTt+FCW97/z3vAEfdbzJnUs9PgZou3dUETzQ6wi8fCQtu8xEnzyl5i48Vxg5OwS0q7zfLnY88VVKvHGuw7xGcvw8lBDTPM8kPDuLhq679xJlPM48Ij16ile95VIGPYUsT7wV/JG8Xii2PE3UV7yXGR09/LLSPE9/wTwerai7I1bcOyliobtAXse8j5QhPB7DgDuKv4I8qM49vCdAC73H/Fc8kXZdvPsY1bz7ZaW8oQ5FPAjbkzwzwVI8u0QHu1kaaLxVd5E8qqM0PKQnNb3IPQQ9kKbeu2zKi7y6qnW8Yo1ePEM/4bpHGdC5H59zvGDRoztawYM8HijsPGU4mzxnftc8cepKvD1L2DwkaCW8eqhiu8u7Izz7dBi8alTZu/C+2zzMA628s0eKvJy3VLwpfV48/NIDPKRM87xh9I87MiCfuyZ9RDu98Ou8d0UhO04HPz3S6Cq6H92VuiZ8gbzkUXe8fRaEvHwgaLyvlMU7fNKRu2O0yjwxwrg8M/d1vEPYt7wCMB47xv+qPHQO9zzgpcs8hvydOtnmCj03A3e84aX5PCGgGjqAhwu8qiKaO7Scjby3Pd+7hWLbu2NiFb3kTx+86vlPvNYIYL0D4AI9OI0pPDonL7x/dNM89P0CvOeLMj2xqhG92VybvExK0LvyNb+8iMeYPEhNh7zvpxM8hhSTuoHbQjzfXF08exUWvVRp+jykp2u6+mPFOdWi1zrAwzo8bZ3AvJeuPTzQk408STSqvDcRpjyFRZs8sxwvPPvxiDsvKEQ4UIYTPGbRSzx7bG286tyavNAX3bzE3Xg7H7mKO947UD1knzq8eJyRO/vyEDltw0A8pLaOPHgnxbucFt+8xk6MPMnKlbpkD9m6G+0tvEXFJTwNat27PpUnPTZEJbxdU9i7g4TBPB9uxTsWMuE7EX08PQMTHjw0aiu7cEj/PKwtTDzc6G281dIFvNTFaTyOftm6fGkTu/LAVzwmO5S8ncGQvCxkDD0+i1q6AHcFPRUmYzuGwk29aOybvD5AtzsqHpA7P1tnPDqcp7uUWs+8mWf2vDFZzDwmLDO8IDHXO5leXbrYSsi8iq7NPLtBazzaIPo706AtPX/v/7wDXu68hz8wvJKlkDzVRdk8hDDBunmkqDwrrs88Q626vPgOlLsOcFk8RNDLO7bLg7jmhKC8M1/1PLLxAr0dRXg7hNTtO+isAj0d4q+7YKxBPIatYzyZ7zW8icV4PIjRhTzWCNY7jaEmPNh8MLwfZcM7f76rvHG6PrzdQog8p1Dmu0vPwbwR93i7jnhVvMK9VTqjrMO7Nzm4OzcMS70M/BC8zm3ZuyRUWbzkdgG9DytSvWMSd7zRn9+8e3MKO2V9r7pFsQW9ZRlSO5dICb3AAne8DzOjPEyb0jzz1Zw7wne6PPQNWTyWdHG84/coPJZX57xsLSS9pWtEPQsDCzwAd1K89JHPOjra+LsAGlC7vX1wvFSjjrq+rD68OfHSPHVkSTtBzrG7nq+nvMyXubqpbGA9r4ifOitXDDxmET49AYqpvLasBruvs8S88H5yPL8MyzxDDZc8lroIu5I/uLzU9oG8IFwtvICGl7yvhL+7msrovMuPmbsXgD89xASTvNWuSrxE/0E8BN0GOhV1/rxbtsi8NQ2RvBQC8joa04076E5vPN0/Krznjjy7SJ3JvOrCUjzU9JS89ymavAwiz7vYS1E8vWRwPMfuwTsnsoA8kSqcusJHsrx58oO9vnpwPMOX6jyci4W8NNaPPDk7wrvQcgM8rr2EOXKabLr3ctu7FknBu9X4p7yk8Z67sj7ZO9lPPbutCm48txv2PF7osjsHehe9TqDEuyrmgDyvhJ43OOcGugpvxTxX+Hi8gDRTPBoOOjzTOd28rULBOz7xMzwzKwQ7YATdvF9NfruZwFY7elaOu17aKrzUwlm8XimHPN+7eLos1to8QVYVvDVWrrwAHPk6Kl6RvE+oALwEUi+8feuYPMQv4TsNsZq8U144vW7HHT2QgjU8dVlJvCYIIb3Zl2I8SN/RPNLH4Dxn+hk7rUEKPQKb6TwejxQ82BAAOhdMwzsW07i68Jg9vG3ltzzXEDm8WyvxunoHtTt+pbG8rvQoPbh0tDsqqpW7bRXLu1Ixo7xbSVI8JXqDOjI0Zjx9SRY6p6bMO9ZY9joH6PK70+JruSk01DsMpRU9GRWfvA75DjqbJDW7XJHwO6r2gLs50u+8nxstu4ckfLsZ0Vg7Wk2yvGySl7yxcwc8+PrgvB6bjbzi/Ui9drF9PCKlMzzFPba8qn6Ou6QHzbufmJS6/6WNuVdPWryVdGQ8oZO+PHk5fzyZ0kg8SeSQPITHM7rtxxC8wxpLPMFOQr11zPK7SWEMPOCfHbzmWfQ8+vMOPSx0V7zEUba7XxDsPCrQuLzNCsG6XiDYu/jWA7zDexS8sMoMvUuOX7xtKdY8CciDO1DmQ7vCHSW8q0jIu+Y3jrxGsUU8u4+DvA+FV7yBOKO7RcdPPMvPgbp86wS8DmlMu2EPCr2TLzy8dqUtPCG+OTxtTS86RBFAPGktLj1xrhC8eyFaPd3qKTynpJI8pHChvIZHH7y8XxC8nxMhOxZpOLqWuAq98jumOxdOrLw3CJE8dAvZOx7+NT20GYe8TS7QOsiwmjz80va7RSLPPNMDp7yEvXY8nCaKPIvu2Lz94Qo9PBgWPNyrpDvNOd8812uivKRGBbxOfZY6bZcPPQzKh7ytrkg87ayevKOKJTzMp8O6clbFO778nDxrXFk8o6d4PIVyKbzVjVC73SA2PCBYBb3EA8O7kcXFPCuLF7wjMFe8aVQjvD5QZT0H6kW7snu+vEZ2RL1teDk7GSJUvM/lx7xZVNs8oImLvL16QbziZDG8gFzPvASbFbx4Zk48x0KhvHgPO7ynxFU8tcbsO/KRZjzwZcS8VHRbO7LIGburv+U73rUvuzF0XDz55VU86XpUOx+xqjvVepS8JdKEPFCD9Lq1W967IxEuPD/j6rrIMwK8ojhaPApT5DzSqAq8eWkfPGFGV7uSJqo8qvygPE6et7reU028Av45upF4vryZbca85R3avIUDjbxJsSw78ATUPLpgLrxtieQ8vzQzPMu+RTzGvBS812NPvBvktzs9TV07zEsGvNBxqjxSiem7wnk0OxSA2DyUxSg8pGEJvUbqKDslyCy9xDATu7xPObxmFQo7ERdrvN+JX7vG2FA7t0Mlu0BQuLzWSE665QUCvazFizyNG287TBPfvLaA8zx72Bk8ElubumexQTxFIey8j/QNvEHELT0cyuw8LjALvHceTDxpxYi8cymMvPRIvDvA42I8siY8vO8LSzz6mYC7/WhVvJKTMjwXkBK8l/fLvG7SjbwOxkO6Kru6PKm/ybpSjhU82F49vB0zNbxl5O65eh1avBtIybwwWsK7JEl1vCdy3bz0mSK9+6kavJWl/7oSrJG8VTz3O/A6oTx2Eza7P+EkuyiWo7qJqvu7o2eqPF5yNzsOlNI893AfPMVIWbzuX6y8TnUjvVPNTDv/+Hc8xOqWPJr7rLyDgje8o5fSudpI7ruDN7g74SH0ub27Wzw3fo48JCEhuy4e8LsOmCG9J7+YvK/wFrzJTDu7/gJXvRG067x7F9887XGYPDQ+vTxykLw8R9rHPMSHuDtRb6Q8jh7/vO3IYLvdH0k7HSwAPQw1FjxsOj+88b4avF4+C7zX6C48HDsWvc73Ubwcv7g6ItUCvB2HDDxyEZa7JrxMvIFQLzzRLIC7n3F4vGoR9zrrcPY7HQ+qvMQtBbye+q08Vxk1u8b1nzpND/08UHf6vBrvAb3/9sC8yxgWPE5YJTwsvby6e7HduqSlbTzhjLQ8G1Q2vTbZET1t0f28iCOkPMLgjbyAupC8J8vKPHsuljwETiE8mCdyPOXmKT1ZGyo8eOMoPWjQ/bxHFhM9f5b2u1L+7Ty3nU28Y9mIvKEAIzzrXIo8zVckPFsPabwweYI8L6pTugzyjjvCImg7MfQwPGKs47u7tfQ8ThUXPQi/Br382H48/9PWOznmUDxQ+b27R9jBvOP7kjxJiMM8Av4evBwTHTylknO8WBRRu5vP1Tyc84C8GOESPLmbCzxUhVW8wGuwu5DKGLxacfi7UmKWvGBPozuNmy87iMETvLOEqjvKVzi84GHNPKHRsDw+/Jc84+aBPGfGO7sBh1y89filu9KpJL1+h2M8N5FcOpl+y7xHuV06UjQkvHrqTbxIftq8vIQzvGZekDyLSfA7dLravAbgCrsjBBY8Vho7O3K3kDpaiVI8N9k5uyVCo7xovcm7m/fwvDxZQ7xdQto7YhsHO/RNPrzZ/Iq7sBMfPBM3uTy01Yu7IVl7urLrYjsK53E8cB7uu1hyMzuAFf+8Exfvu0CqBj1OwiK9/8BLvHs7rrwb9G681UoXO4Poj7xMV7K7WwuCPOi6Sbz/36Q8t915PMFRSrr+2VS8EsTOvNVRSDtIgdS7iZpbvLTIVzqTC/+8WG27PAFx5jo8GmW8erahvOOtT73LKzm5dVWDvA==
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 10
+ total_tokens: 10
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_document_content_docling_mutually_exclusive.yaml b/tests/cassettes/test_client/test_client_update_document_content_docling_mutually_exclusive.yaml
new file mode 100644
index 00000000..ad88a942
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document_content_docling_mutually_exclusive.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_document_docling_with_chunks.yaml b/tests/cassettes/test_client/test_client_update_document_docling_with_chunks.yaml
new file mode 100644
index 00000000..c1f03d80
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document_docling_with_chunks.yaml
@@ -0,0 +1,86 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: t705uNXXwDwMi0g7xMjqPNEv6rk4A4w9fXQ8PRLqx7ubx7U8L3+QPAm0Arz9SoC6ExLIOnBN67wA78M8apxOvROK0bxnjZi8XOHlPBgzvLstppa80gwYusIAJz0Jz6m8Z2sJvT5jIr17YN28kZChvZLt2zzXDO+8OWIEvBNOaL2EvOY8AnNrul5nyTsvOsa8OBu9umXzMryBuYs6CE4UPP6SWjw02926eaqjPOy9DTuVdC29o9AnPBUrBjz7PMM69ZIovFkPh7yjxQ48FtwUPPucubwdQQC9pSmtvN+DsLs++Zq7T+aRupzrXL1f3ry8b2Ggu45R4Dvf9CU8Ju0Bu1qLE7rIHe+8L1oHPJw8aTwrxIM8+l8LvJ67CDxdMpc8NR8oOvvbKz1azde8cAsXvUkHPjuITc08A+2GPLE/nzx5Rtc8Il2ju1OWnjsybDM9Tn6vPF/A7Lox/hA792NyuV5zCb1vro27YXCWPGLO+buenu27mSOHPHNfnrtl9Gg7KXN1vMQA4LzBwqi8Z75JPHzL97ri3Rc72la8PE/fw7tplau8emzcu0eAD7yntA68gFPHOhAhhryRJRK8D/yXvL4O6zpBo5u9FLWnvAsazLwFamY8CO9APCO2oTzCRN88dMT6u58pzTxW5Cs8Rll1O/BcELtbvgi88KoBu2bijbzzrzy8h2U9PGpKMDzo3yO7aLzdO3i7oLzFfM28nx6CvF8Hvbv2+Ym7yc2nO1cQqTyHzUA74DClPG8rjTx63aw8Oj7Vu0Dqm7yzPMq7G8xhPCCjNjzVngs7k5S2PKZWyLxNqlY8s4IvPKcni7sKDOQ8YtMcvGEkNjw83IE831B7O03PKbwV8cU8Ji6NvNik5zyVeiM8j3pbvL7znDvP3Le8aBdkvGaV27wUImC8JG5SvDj1nDtAxKK7ZzSIvLGgxbomN8y8UhOovGsRqrvZSq86HCq4u94OtrvFJ728Cw1AuyHKpjxJMYQ7TLo4PJ5KfDyIPrc8osAaPC0nI7z5Hhi8Up4uuwyBKjwbMce8bV2BvFvtq7ztXyM8EUy7vOgBkjwl6OA7WdPouzmxUj0vi8q7KV5ZO2epTLg+bzs8ZISGvPVtOTwQZeu88f6VPAvHW7xWVSS86MJRvJYEDDyQiYu6IyrSvHwyr7tp3NY8aw+ePELyqzyB41g8p9JCvATWxbuefy69J6cgPKzL2brtMrk6j/YsPPW9uzk00fg8wIgJPQOPlLxx9+a7IaNPPOuMc7wz1KW8T1UfOjsDJTys2WM8zk83PLeuUbzovqy66eZYPMOYpzpO97y8ZKCoPF14zDrbYOS8wgz7vJEwZ7zjOha8RU/yO8YD4LtRi6s7FFs1PHQKBLxyHxE8HmCbO+M1+julR4Y7CQYIPc7VMLzbcg28QS8KPGQJmrxIMBI857GLO5uMbLseZ6+8745/PZpUq7wdLFq6YgNFPIwQ07rTy3S8+Q7ZuSajAjywqCs8EhVnPLLBILs+eQS71+7XvNbgnrqFnRi8vBggvKPuLrxJ9Ro86H1zvD7vhzsksaw6udaqvITt7TytvFm8UlGLvA7hILzvyKY8F3S3u5buADx+F+M7P1m9vNVPnbyMOMa8mrD9vFDxpjxTb1877hPnO96wpjzZSRo7o6WbvLIUXLukqcW7ftpNPHdes7uDYkG9HsA5vVshFTtWAm28HTcCvZjn7bzSo+k6q0xSvQXc9bwRsoa8nrTSvEZjBTw9sAc8v/4qvIQIBLxF+Z884goWvSBWCD2V9pi8/Q5zuxWTEzwVPIS8CnCWPIXAKD0qifI7lkC5O3TNKDpdPge8tdsBPIeGmTxrj6W8q5WAO9NFhzz+dto7PJCCvIKbvLyVH568Yxl+vPnlnbwWsoK8WY86PL/fUTwxggO93hUgPAyM1jysORk8Bm2WvA3OWTyhags8DGXnPHRdYLxyHz673i6cvJkPAD3+GXY6b3UKvZ20KDzyvkc9lT8+O2H/CjymDMG8Jt+tu+m8nTsgPhE80BSEuzYiYjxkKwY9gbNxvKaBI7xoFYE8jU/BuiyHULuGPpA7aNSqvJzMUz1GYsw8fGQbvHz9aLxcOSs6gN4zu4PKr7wZP4o8e8gfPJ892jx1b4Y8l4Dxu8kWcDybVSa8kR80vCr+ezvQCq283racvIG0YTx2Sz89QuYXPUq+b7u+U5W6Iqeluwq7lzxu9q68FrYCu8u/jjzAAMA5OkAVvQEm1LvyHji7vCEiPNe2TbzG0OO75cDFu1wkhLzjVAw8l4FCvD4ukjxIIQQ8lyMduyO9XrwNyOM6znmEu9+vND2VMRe7jSw8PeTwA7uhts07zPQtO81I87vXhau8qByTvIErR7yU5Hw8sBY6vWCcdLy/CYE8nC0KPff7H7w+iwi8usVsvKMU5Due18y61+vzO8Swnjz+6iA6fFiVO3FDsbzOjMe8VEeGvD1G4L0l4+A7sXnNPDkyuLwjGgK8Wt+ivKDm7LtJdeu7wR62PL4y1TybTM+8PCuqvCYnn7wQ+BI9NvKBvFLOozw9rFA8aJGquyKrNDzZLc08GN9wPYERbbvOq0M8tsrcPBIXzzvZRAM9cSVbPf6ZtTyAj3U8ommnvL7qDzzcznM87sR1PBn0ELwiTWk75OygvMXFbzxrMIO8chR4uwG6gTxfl6O8JqWkPLrPpLxH9Ak8OlbWvOFbbLwSFZ08VCE5vXEsjbuHGog88MHBPD4GlryLI/y6I4ZbvdSwBT2MiQa8qUFhvJxhtbwcqg28dbreu6UEdrxln6I7UinrPFlEPbyirTW80sNHPIAIYzzZZSc9YzO4u9DLKz3D16C8ALR6PPvUgTwaN6k8qHsOvTiagbwjf/27dYrjOxyXvLyirmG81cEJvZN/izwpvOQ8JrQdvPo4KrwMgyC8iqLRu0/IbDwg3du6p4ObPH1pETzWldk7G9m7PCJPerzYBYA8KK4mPQHS5rvJNlU7BLtkPEoGwTvnixK8i8wJvBUakTyAjk48yNpgvFRdZLwENVS8cpTvOxWn5bzXEwG8i9XOux91MDzKBbE7tbp3PIx7KjzM+1a993ezO+C1Mb2Z+hi9X2hKvIzsArwOuWA88XpwuxJ56bzM0MY8Ovd0PBvpgTvXbEm80xqtPCC7PDz0efW8DkBIPJDUmDydiXi8Pq6EukSySrzxQtm84eKfvLLowrrZxpc8Ui/HPOXMpry/YzG8yI4GPTr1XzvsaIi6vErQPMzJjDwdwAS9bsWmvNWkObpUPiU8nxuNvLh4iTpz11G8TKwNvLFjTrv/jJO8A/iyOs8HHDw3EgC8vM9sPCaLq7rKq/a8BZVfvFy6Qb0KT5+80/wGvV+TsDwnpe86YwZxvLcdu7qn8K88b98rvTgPyzowGQG8XFpvvRxc/zy9U/u6iH4OvYRPkzw5e9o8I8fOPHpMkDxd2t88YGf7O1G0J72Sahi94RoQPEYaDD1LXMC8sTKyPJfTNjzXdk68l2OAPH1xCb3hvTE9I+lRvKR1ojzi56k8AwSLufQcN7yvq6I8IjlTPNCT6ryb9L28R8C7vYCgqbxHjoQ9fvbnOhxmerxE0go9P9zXPB+3ejxxjwo9tA8ivRRjZjuWZty7srLTPHhSzTthQvC7bOwJPK64DT3dOw+87cINPRxa/LoG6cg7chm1PA+htTzajds8YtTuOmUE6zykMAo9TZslPTJc+Lormh079OPSu4m2OjtM6sS8rQiMuqZpwru+G6i6s7uKPB7wmDwkL0I8ke+vPE5s4DuSINY6v1kUvC4X0Tx3Ais8bwX+vA0E27w8WjW77VewO2aXMTufHqi8FldOOp5A0bxkXDe7FKm7PFNeQDxjwdK8UXK0u7Dy27sbC+A8HSugO80ibjvghPi7mpoYPQ1tfzzMvZ+59MOyvF865DxNqDa8QaCNPC0LsrvcdpK8PYf1vMyV6Dy2baG8Jn8EO5JK4zt/f+k805LivOZSdjx3Md276JkRvMEKBTy93Gy8MSaUO5CVKD2LpRI7DBWUujCh8zlAqQQ93Y2yPHqiCDyYxiM9xqVIPKwAkzwzDzi8ypDZPEaur7yO2Am8lCaqPHM9DLvpS3+8hQr9uzIA0boQ7Au8E7JPPTaAhjz16dK6e+XJPPQLKDsQs+e8bnuTvMvJhzqqSrQ7kHckPBXFPL0uW1E6EgtYvJ3Bzbww5L07AIYCva5HB72oCNS7RSk5vIGKFD2CqwI7pHkAvB8IHbzuHLY8/7U9vLAFl7yAvlq7ZSgLvY/RnLy76ZE7wcacvOOYCb17vCc9BIscPAC1/jwOd+48J/NdPA50ALzJfZk8tabTPKDomLxVYai84bZgOxGN2rvCCoy867/eOtbFyrsMbCA8GWMIPHTSZDts7p48x9jxvMT9/rvyZJI8fdrGu9k6qDz3xL08ghCIvMg+ijyirBC8NdzmPHofQDxsA0U8ufCtvJwKmbx1/AK6wHkjvXkPHr34KoE6iEFYuxRocrwIqO8862OSvGO0v7s0YZY74CYovCxHCbwR+OO8/56LPN8/Cj0bcQA99L2SO+coMzmbWq68mwkJPbkvFz13jpO7ZwypPFUSkLkzKLA5IR0gvT3Oxby6KIw7N7KNOlrsIDsjbz27clHNvBPfKrzRlhC9BT9tuu/GMjz0vMo7uH7POoVM+jxd9J+7Q3AFuhm4gjo01zi7/UwZPJXGjztBkpG8JBH7PNe5xDxEg4k8n6qfObCFgLuW6ZG7++pGPGjBtbxhVoK8MtQhPfUhAj2UVjo8dtynPEF8nDxF8qm83cM2vb/8wDyBPXO8eYBtPDssnjzo33W58S6ovFpcKjxIPNQ7hqvLvHk7ybstLS080MhJvHbtfLyLIIq8lR1QPIsA8Tv2sZG80P/pu+KKuLyozts8bJcUvWr/rbyPXTI9bywWPCETJb0igBg7wZ65PN4zkryPWYe8aXa/O1N3wLy1Ozy8P8MMvD1VmTshMA28n0J/vEIDM73MaBc8mfSMvOVUVTxclYQ8soAGvcTqorwWo947mVQMPKLBVz0Lhia7Z2PoOubEFz2iFdy6ZvytO2AtOT2T6Eo71SLWu5xwFb2nEqQ8HHeBO7qu1rtHp1g73kQLPMZz1Tz02lG75AqCu/ri5LpDEZW8mOpGOvePIj1g4VU8Q+CgPEljzDpvap88PGGiPJKjA7w+6Js8308/u0UfELx7WJi8WyD1uptPIbxh4iU94IM6PYip77vTVX+8Pm8WPL+TYDx1BYy8ZRy/O+q0zry/wA+89PaLvMUsQTw8qUe7mJ+jO5NJDbuyN1q7DpocvA3YeztQ9vI8FoV6PKbC2Lt18S274U4TPddN4bwlxAE7Hf4iPB5cOL2EI4W8WVYtvb7Xlzy+JoK7ZSNRPQQViLzgt4C8pCqYvHBTW7wY2Ru9ICwovaDVjjyf1H08ez7xO3fjRbx6sKO7FEcFvdL4M7uE6MS8NcJZvJdQTjwPQ7a8LgVOPVI6gbsA+ag78Uz6PP4yOjy2h6I83zqNPNgmjrssDEg893k2vI0Cerv7v5U8QzfDO64VITywkWq82m6dPPIihbyHtVe8+mZ2PF+2rDvNV6E8E7yOOulabbyYH9k7DC6mPBxKCz1EmxE8RByiO09JbrxE+r07lIrQu8Cj47tbHbu7OOykPF0h/jqAlSC9/xjFusySy7woTys8B72jvHSSIjwQ91S8N2rhOwrqlDzUYhc8KZHiOz3Q8jyUY6U8TI2DPIfVQjuOOMq7SV23OudG9rw9SL28+JQNveUKRrsKtM+8UzhIvKDlaLt8N+y8oOeMPMW7lTvVmJS8aslJPMbxezwBxny8nz76vGx/pTzOoHg9zZ1zvGdHurzwrhW8d3OPPJ1IG7yMYB47JL6KO82EBLxVTGQ8T7PpOnn9TLw7ioQ8kvozPRAl8jkMckM9qmbPvNRFKTxtGlK8vAdFPL/oITwC5/y77yYtvGY4yDxdnEa8j5SrvItLPDyJ2MO77sGVO8vgcDzwipG88Of0PKh0NboD7eC7kx/KO2pz6zxpMcC82LrkPJNCoTw2qXc8cz2yPLgRkzy/zg29rmiAvM7gDj1UahW7UO7zO1KK2zzb2r685AlwvJDdBDvP0m09jzNavEHFEj0MJTG6p1gIvM9ga7xhUsA8KRJPvPyKJ7zbtZ27AYIfPDbs3jxopx09sB5Bu1SpKDwdESu7pztQPCiaKbuA7Z68RLwTvU3nwTzTWOK8KFUrvNCdZ7v7Hva7wwoWvBm7+rwij4g8Y6aEOw8XFDyZ5jK8XbEGPbFNKDzqzKq7wa9NvAE0P7z2Dbc729CNPH2isLxXY4m6T4U/O59rZzwDg+67Ty83PElD0jxmkSw9uVr5vJTicjuo6Iy6kQO8PO2IFL1z9UO8ROO8vGemFr080OO8EzUXvKN5Jb2vceg7HDsHPE+AmLxkmug7z9mrurNatjxRiJE7n+VAPaX64jpCe508QUE6OxNLDz21PE27uhVevMPTpDtJHO6892cIPO3JdTwPimO8YJOePMQH0LogDra8Kh/RuzZk5zsPMK683i/aPDvsPjzyYAE8UZn7urP8oTy0J0M9t64CPa++yby6BoU8RhavvJc0xbt70Kg8X0+QvH+Xt7uoQb26v+w8Owp5ZzyGVyo9uCruPFoPD7woOT+709NgvIfz1rtMV5a8BoXKvB5GrrsM67C8XTq7vLk0xzzboLE7IKi6uyYpHbwD+6k8ktMGvFZcPzvlYSU7QXkhvAa8Yru+y7I5bw+2O/zItbw3yog71BSHOql52jxlUIs8194mvBfSQjw5zuq8LrVevFddaDucGLm8gxrou+rLirzPH8S8JyXRPD/soTzKYbk7jz7EPExiybzdYuG8W2CGuzZ7Dryy2I68qQS2PPR9iTxOHRA7G7ckvEKNeDyfNdK8m6h6PGyPrLxRlkW87Jd5vF1iIzzp5Og7GdqkPLrLoTzaLQI7afjzvFacaTxSpEO8aUWhvG2VSTtKrJk8lLTLu3ulP7t1n5A8YIMnPKmuQLyZVaa8U00bvbeHg7sk1LC7CpyPvKip7bxP5ku8eC83vH824TvypAa8rdXgOyX8GbywMn88mdnWu66PVrxgEwA9NpkeOy9/Z7zK/207OVp7vMnzFT2JOkQ8/juZPNj2ebwmI8a8xUUGve00vry9qbA7v/BxPL8aMTzaTAG9hJ6DPDT9ujsbaLa8f0mMOq9j9buwI5c8WqsQPI1A4Tl6tHQ8dy1yPJiRzjwbLk87+Q8RPOOkejwdsDS8tpAIPQ5x4Drub+U7pRiVPAyZLD2GLI47t0IyvD1myTwYTdC7xKAuPYZ9ILsd/4k8xccyPXUyYTwm/AO8hc+LO4SIjryYyke8j09EPKNk3rzb3626P8TGu4JFyDwAPZQ8cnUkvBRXFDwzVFE8/4SXPFbvPTtSCnE7nXe8vC+x6Tw/hs087G5tvO6vNz14ny28ZrA3OfQTBTwsFhI81Zp9O7T19rzXy5k8yB9uO4xlC71t86k8A2FGvLDXhrwYThe9Vlytux1vRT14Tn+8occKvT+HWrz5fFo7eHK0PGiBVrz0wtA6UjwhPK4VWjwqbaW7DNgdvCQ73rzoqoy8vBC0vI/eQD2Y7Xc8IIiauisLk7zsVfO71Y3Cu3Vtery1L++7PuAgPam5iTzJsbI8J/e9PAdTID38xHw88WZ9vPnUxrt8XBO8SxugvDUTKLyUl4G8C8KVvP1TWrwIfCO8BVJTvJhLAL2Q5n885JoIO1QBbzunUB48D/XgPDgXCzuGAc+8o+2Lu9JCgjxV3RI8EaPsPBhJe7urLMM8cgFVPawYWLw87W28YpOnu2niQrwBebC8gVFCvUPRMryqmh081rkMO5cbhTsZNxM7Pp3pPCoRB71/Z246HkOtvCtETzwkM8A8eQCgPGDFKDs2tyy9xKyQOkEEb7zWhZ+8Xw3nu203+LsENry63K/rvCFMsTzPK928k2haPbCkHrzHnwa8m1rGvFMhrLw6NGG8Dgx9PCYuhLzybN87jS9xOqonFLtpPwy9xeqDPDipVrzjt7S8VX4xutunLTz6kZG6+4a9POXbIDuNwqG8gAL1O3azdjwVVsC8GOwKO1/XPTyfhwA8viu+uzL9Ijyvz468nZNfO0tbEb28saw8rrARPLeuRD3GBM47X654PHWa5rx7ZmM8YYKHu2tUSLyO24A8n/08vOQ1mLz3mJU7naQcPJRNdrprT6K3rvjwOxfoPTxAmaQ8XlkoutNZszw3iZU8IPpqvMPTBTz1RUc7YjQvvAwjvDty2Iw8sRdRvOpp4jxsdDg9TVJfPM6PNrtwsuC7YLpsvK4EKz3yHyq8BrNYO5/cmLuvoZC8TAWZPDGPzTtxY0+86fwQu//2J703wZs8i+9BPLNZ2zxnrhQ7gTqLOhdx5Tva3l08R1OuOZMM0jzju0a7S2XuvI1FqLzBc9q8NwdFuyKpmLo19g08Nb+BO6SLtDn67To8wXqfuzmmijv7UJ08VENyPGNDNrwhGvK87Y4HvBwptDsm2ys9pOWAvGKIZ7r9EeS82xN4vDox4jzl2/28sfYlPH/vI7zh4je95XXavBugtTyzIME8EoSYO2GEd7tMYTc7Qfc3PMZGvjjGD+a8mRoHPRzPKTwDXUY8wq/jPCEVYTzpMYi8Se9gveiUDzwfcaY8BXAVvJGsxbulaa+7td6QvHzevTw0MeS80cA+PEc7grtnh528CASovIH6W7zmh0o99duMu8JHRjsV1f87azaJvCBLvDzTxpC8eCjkt2rEgrwab6y6xINuvL3Uozzk8vG6FQv+PAXKM7rd6Yg7J76hur+DtrvADdw7RgvPuy7klTzoI0C7YRBjPOT4bbysL/G82xStPGlrGrzLNz29EJKyOi4Z7ruMWuO7gwJePALdrzvo4MC5WBUxvVKFHzzRIeA7HmZZuwhlLLnVG5y87x0DPXINA72jZL28nqvCvLhRjrzxS5i6lwcFPYhO3Lo01Di9n6+JvGbAWrvmvdU80Ku1u9yMBTyTra47xHJfuwKxBD3KD6K8CmqgunSdCj2+Kim8Hc8Qvfc/ZjyMbGS8dwGSPPIgdzyXWhI5LD0qO1c3QTtHdC29PVWwvIzd7ruCEVI83WumO5M4ajwTRxG8DPUDvYXsszsFmSy7mdccvMuE3rvYkqo7NVyWPFgAJj1TgiU9C1devDvbkjyjH6E8p7elOyEE9jyeuKc86UtuPBZHpDy3WBa8dZVZu03pTzyUbyG9Be/2Ozkd2rxz0n68O1cRvPBQiLzHPne8/jF6uwdB0TxE9jc8rvETvCm0UztlNM47rakMvEXK9TusTCe8wGt4PFb6tTpbFM87SrIAvcaQhbvT1Gm8OXHDPN3t6br4bX48CwXzuqXh6zmPmco7pKTzvC1UibzY2Na8DYX8Og4HY7uyESC9qQydPAIBlLx8Aig8OcmbvBOg5TwV4LS6QHpQPZXFwTy01yE8VNDTuzWbFj0TWqu83D0DvIHNr7zykRC8T+3vvLuUqDwwSvI8QiqCPFGXX7xP6JA8PuLoOyw1FbxifoS83nj9OyM09jvp95+8K79NPAPrVz1hg428NoPEPLJthrw8sBY8DzH2u3wEDrxDG1C8HH2RvM8gSz2Z9v089ZnLuyWjhDwYKLU85fCTvLYnETxKfS09wTGbvMNaMjw+Rh08ko2VPIIxUTz52Cs8pmo/ux9tYTzjU4+7VK32vNGgEr1gBOM71SWUvFiS/rxerEg8+T9VuvWBKjsX/r069QmMvJlcxzxeLsu89KmyvHJcvTwSAAA73PeLvDHO9rxMkmo7bAaVvPgmT7uXx5W7/X9yvCxqqDy5ERG8xVKcPB4X+jt5/+E8m+C3vAR17ztqSV68unUfvIV6A7wsr/+7fGX0uvFlNzvbBFu85ZbvPF46yjwBgcu76jvIvMV+xbvcSqC7oOi4O7aOhzxxv1Q8cuUpvFnxAbw9LBG9+hMdOkkQQTxdbTC9zGMVvIxxHrxxgcK8kHZUPMYHCz3NEoO76uEBOtmxGjwrZaK5N26xO+KmpLy0WtY7jMyZPPODI7xZz7m79IYFPXIUsjy44Ky887zsvEAyGTvf9i88JEEVvPOKtjysROq8VlWkOzWitDxq+m28kqr8O2r/Jbwt/wK9mSklvfKcBbywepA85nEsukCMSLyUte68zcMqvaOZlDuxlZ46v2mxPKKtLzxrVMu8Ye/fu5BIMTz1OIK87j0XPZyTejy0R1k7Z8B9vJtUUjxBBss8d8NjvM5pejxMyQU9lH5mvNzrJzxD2YU8hjBfu/ehhTvS2HI7aSJtPFixgjxK0Li8x6kXPHVhHzx8p846eCmgvGdWqTtobQ48aZgtPUBlM7xh/V48fWtZPCmfMr3EMMa7mNHHOh9TgjwslKa83ROCvJq0Cr05x5y6jwKuO+KBsTtZLo08+SCCvHCdsrygjAU8QduXu/8ylbtMuR46uKBKvcAjn7yfI1i8beXXvHVM6jy4pQS9eySXPPJ9L7zOEYk8gj00PJTvDDqxGdO837QEPS5GJz0B46O8/GQ1vHhVkrzArDu98YRMPefDbjiAJa67N72vPI2umTyQAxu8mAXuOOH1B7ytZUu8NhLQPPmNirxKz868Sfk4vDR4FD2lqhk9AHfsvESWpzuf6iA9b8iDPMAg5TuXbCG8K5YPulyUgDw05cA8IeEUO10Dt7uIR9W83I3Eu1d537wMTL+8ScL/u5Jb+bxbOYM8lqPwu0XTLL2HNZS8rMHuO17goTv0xMy7kyyEvBONkjr+HO+6hWgGO8eIkLsbFfQ803QNvXNbvjvZN+C7AKhPvMWcg7z8Pgc8YHd7vMGNNbtt3Ms82MSOPElrc7wwMQW9FCZdvOhbpzwSxWu7a0Lpu+id3DvAwki7y7fMPHizrDt82na8kku8u5P7LbwUj7e7orYAPc081bsTq6o6OVibuxQfqDzQzIa8TxoWvZZdoDyrsuQ5XjlRvP3MpzyniSW94/KiPJe1njyq9Ja89FB4vBbqLrvfXkg8tbiJupgbaDsuiba7g1YVu2U64Dq/qtO8KK0GPIEdCbwzM888LAqyvEah5Lxi8wu9J4FQu72tIzrq1gG9HKigu0IhNjzGsW68tfjDvOSDNjwig0M5FbzvvFH1uLz67om8QXYaPIWP4zx2SkQ8x6edPN9F1jyK+Ji7DD6fPCRiNLz4FVC7Ty0GPPBhFD1k4so7te+NO9vQAbzlGbG8PwaGPc4RdrsAWp274orpO6HB1ryT5/w7IA2yPEHLOj0MRwo8YYbevMRq5TsoXf66tzjBu1rP2jxKhJK8Ha82vKby+by1xQk9BD5cPMpAkzyGZKi8RpXzuzlW4Lz9tfG8mRqCvN3xIDz5Aq48964eu6ZGzjx8MMO8WQaYPICrITvvWcg6TyfPu/kT4juI8M269R6Iu8yv1Tx5p7M8HmMYO+L0wDzlnqE80lkcPNEjqDwv3zy8oFDlPH5CGbuHz167cTYnO7h6TL0AvgU9ZCTxPNYrV7wQ2hK87pf5PM2xAz1zfww8wB+vu/XuOjxphCa9hD5vvKLX/LzHQX68IYn6vIQr2buY4Tq8MKaHO7RgSrztpAy8fyTpvKsGerx7Br67P9cFvLrKPTt8T8u83CQwvD4447uCNQ673Y+4ujGFvbyPZVK8OxM/uz86iT2uWgo9l03DuQZAjrznfR49baUhvCnLETyBzHk8CaYTPaOJy7wj0wa9VSVqPIAKHb1DrUw9nxMVvHtRrDzupoW7GzCKO4XbQT3JtNW8NYpTu0STI7zxkIe80oaEu6uOEr2L+2M960rvOSgqmjyMZp48HGtPvJ3rjLrgSWQ7tk0CPWrfx7zgTOM7afcZu1ZH77pJPhK897eUPD5EGz2BZs88n726O3hgArxpp048qLkwvBHKBTw8GAE9bhAtPRpQ4LwBBCs7OIKeOxAcaDx4t0s8ImAIPBDk67yw6AY7fxz/O0yTObsFRVg837KUvKgcijwSkxU7PxszvRbU+7yiotc5PM3YOzednDyBZCc9XRkSvP/cdzxBhPY8bQLKvOnlb7zlJjy8bOCePPBADj25mb+6363fuhpDi7sh6ZS7Y2yyvPm5OL0ZmSa8L2WwOsRCmrx5iFM8Ff8NPSbrMD3HyiM8/F4CuxKXjbuexf+7RRDWPNTpq7sUojw8okWKvDUFtbxEpky9EcMbvNoEpTy8AZC8OhNsPNhcxrsFzow76Es8PAbVsjwE5wc7/rn0vIO60DvJ0Gq8ifYMvBmVFbvHy108Qy8jPITN9jp/rkE8K+jru6aDSTx08xS90sRfvKzcJb3kOgs9sv7qO2UXVTwkURs74G02ugIKCL1erJo8x6CHvEJfGjx1LbQ8CsCWvHvwQbx4hnm6MOxKPHfZzzyhT+u7a2+xu9ixRTwCTHE7duAsO8YXcbz3ue28c5kyvU4nB7zqqae88BDyvHTi1zxNyha8oRInPDyTGjzQDro8GVXPPAwThLzLonm8DCGEO3lNkjyfZi283O8EvBfamjoIFh28nG6IPB6SjrwFSRm9Kf1BPITU4TtEWh07lalMvCvrKjuD7OM8Wo0wu/MoETpwifG8JGa2O5D9Rjw3PfG6YYKoPNAjsLvKdyU7uabyPPbcYryF9Jg7LFtjvIilFrxgCjw8yei9PAwUmrzYfSc8mkEjPF8YrjswSIo72higPE1z8DxvJk88vPMBPHjkDTv46DG8gJMYvb0oBz2fZAi9iSRLu3QK+DuCCZk81tX2u4GxR7fUoNo8Bv8ZPYFx6TmEDC48GnyfPLgN0TvvFtw6WXClPHuPzbtyfCm57qCUu+kRrLwH7Le7tt0evXMGn7va7rm79FzquusNyjyeDYW8QFeLvGb37btx8ha8mZBzvG/htjz9gNQ8iG/WvL0XVLwI+YW87qsXPBGBV7wgn3c8isw3vNxS57wIfmO8CFWuvN005TyDcgK9s5QEvIihLrzRlsA85LlNvPPKDrxJY2K7MOrWPPZ9D70j/746wTpqPLmoxTxcnLC8UdJcvG02MDyNX787LfnlPLXBursb8388NTq3umMX8TyAy+u7uBcSPD+3WTyZPSW8XAb1Ow+q37wIqag8wgcgvHs8Hz2suvw82f+Qul30OTxE6Lg8MPDSPB/cbzxBF8m7f3uTvOfthDxtt2M8WEjnOyrYUju9dgA916w2OkXcuLy1Pay87WBYuy1XrTwyA9O84NA/PPK/xzzn/A47WAOvPA1kJbvcKlE7oWEEOf0xrrtP0YI8h4ThvHeIVjzSgZm8pIyEPC+1kju9AP08U3fmPM+Gmjxbiva6+e1+O7nMpDp1XJq6DJMEPJkSUbwVZK87aMOOvDhp7jvV9VK8LpoZvHb3VTsuule8iVeYPKg1kDk0K6q7iiS4POo3Irwqcdg7AFWFu5r49jzGmVe8NsSAPBpLHTyG5DW8CR52PK/X9Dq6NQs8+uYdvHMBSjsGjT66U+wGvKJHsrybjMi8StPLPDpkwDuhQkO9IIrWu+8rWzx4g9a8C5RwPFistjzn3D066fa6u7R+tbzBaXg8ScuuPDafPbqMBpc8KqIHPdgvfTyJuw88VaWevM6bXrw5yEa8qatTvFLIhbwusdK7jlRdu8dZ0DprcXU81nmNPDmrxLynWoK8JFj3uw==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '101'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Custom chunk 1
+ - Custom chunk 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 10
+ total_tokens: 10
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_document_stores_docling_json.yaml b/tests/cassettes/test_client/test_client_update_document_stores_docling_json.yaml
new file mode 100644
index 00000000..08c8fcd3
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document_stores_docling_json.yaml
@@ -0,0 +1,129 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
+ H4sIAKIwUGkC/82SS0/UUBTHOwwwwxFkpjAKPmLBR4BA6WuYGSLJBFiZ6EJjYjQGL+2dmYbpbe1t
+ MRNjwgYTfHwCWbDThTziF8BPoPGRaExcuXLlwgVEE2Pb6SAP48Sw0LO4Ob33d+495/8vrLTCehRy
+ 0EGxPaurmNcJdRDxE43tBU7GWRFhMacoOawIQiYn5nB2RJ2Ws3JB0FQZeuGQg8vYwI5d4ak2w5cR
+ KbqoiNk4NFsVp2QSOA3sToYgA7Pt0GZamGydQA+kdmKz2Ka6SfybRF7O8aKHtNYaDe5IQrtLZoh5
+ i0yF+9ABByzbVDGlvOXN0Ni1+jjq1XXWNm2XOLoR1rdATA2bPAmHdyPb3pd5UeYzcBmO7oY0TFVb
+ txwfHAGlCnJ9BtLJIHcJW5yY5SRBSg9ykjSalkZlpZ+7NuGr5G3zIq9w12EM2mtj1d4cgL50VlE0
+ IaOmNUVCQkFLe9oLWSUtZUQlq+YkAWlipoCm2c9xSHlTVzTktaQOIZ2t6iWwL+PQXcRkCum8WtY9
+ sXnHnMGEd6nv0PB5jKhrY8oR15jGNmcWOJ1YrsMhonGm6/hpUEA5l2LtSOx28HXn4kYMNqLQDW3h
+ 5bRCHWz4QpnlMjIQnIBUeOR5bCNfnarizdColpDjOxICNr7pYurwhqnhsu9I0XKGTEq9Xyu1hVDL
+ JBTvZY5BMmSqgzkVC7MxaArGSD5/szq50Dff1b05+eLTfS/piTLV6A/Wt4t5ITF+NxJfPMXORSLM
+ PiKyz3MvzkXZCHOVT974shx03Rt/+M0S6fjXdwOJyCM0tk5eJ542LXwf/jDxUexsqBZ5PIPyS3V5
+ 5xffRZfP3KvHL4c8CtalubweJKX5PGz+F84f/53zfhvBb5t88mrtj9YzU3nhoG/9jxbP+gbmH0Rk
+ r/WlZ2v1reeYLSvfi+NLf8NfebBS3/qzzHbrmXxoPXMhn4j8BD4ukZMxBgAA
+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '729'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/metrics
+ response:
+ body:
+ string: "\n\0"
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '2'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=JzTAsIp8t3A57BJQl4mlG%2FfLA7%2BWUFJ9IsKcAJIIEeU%2BJ%2F%2BW4kihd7xaQIjse3baoJ79MeWUTKIFcB1xbCLrof%2B5yXY1xtklBwF4XA%2BVTc1MFqvW"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '99'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - New content via fields update
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_document_with_custom_chunks_no_docling_json.yaml b/tests/cassettes/test_client/test_client_update_document_with_custom_chunks_no_docling_json.yaml
new file mode 100644
index 00000000..521f9392
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document_with_custom_chunks_no_docling_json.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Custom chunk
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_document_with_docling_rechunks.yaml b/tests/cassettes/test_client/test_client_update_document_with_docling_rechunks.yaml
new file mode 100644
index 00000000..cbd7766e
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_document_with_docling_rechunks.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '117'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Completely different text from docling document
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 9
+ total_tokens: 9
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_update_title_noop_behavior.yaml b/tests/cassettes/test_client/test_client_update_title_noop_behavior.yaml
new file mode 100644
index 00000000..b118622b
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_update_title_noop_behavior.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Original content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_url_create_update_no_op_behavior.yaml b/tests/cassettes/test_client/test_client_url_create_update_no_op_behavior.yaml
new file mode 100644
index 00000000..2d130fa8
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_url_create_update_no_op_behavior.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '90'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Original URL content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '89'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated URL content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_visualize_chunk_no_bounding_boxes.yaml b/tests/cassettes/test_client/test_client_visualize_chunk_no_bounding_boxes.yaml
new file mode 100644
index 00000000..6fe55fc6
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_visualize_chunk_no_bounding_boxes.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '107'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Simple text content without structure
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_visualize_chunk_returns_list.yaml b/tests/cassettes/test_client/test_client_visualize_chunk_returns_list.yaml
new file mode 100644
index 00000000..ecac609c
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_visualize_chunk_returns_list.yaml
@@ -0,0 +1,51 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '216'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Chapter 1
+ This is paragraph one about topic A.
+ This is paragraph two about topic A continued.
+ - |-
+ Chapter 2
+ This is paragraph four about topic C.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 35
+ total_tokens: 35
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_client_visualize_chunk_with_pdf.yaml b/tests/cassettes/test_client/test_client_visualize_chunk_with_pdf.yaml
new file mode 100644
index 00000000..7edf08b6
--- /dev/null
+++ b/tests/cassettes/test_client/test_client_visualize_chunk_with_pdf.yaml
@@ -0,0 +1,189 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '10675'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Field labels
+ Identify document elements using the labels below.
+ • None
+ Clusters
+ • Text
+ Picture
+ • Formula
+ • Code
+ • Complex-form
+ • Section-header
+ • Page-footer
+ • Footnote
+ Table 1: DocLayNet dataset overview. Along with the frequency of each class label, we present the relative occurrence (as % of row "Total") in the train, test and validation sets. The inter-annotator agreement is computed as the mAP@0.5-0.95 metric between pairwise annotations from the triple-annotated pages, from which we obtain accuracy ranges.
+ Skip
+ - Caption, Count = 22524. Caption, % of Total.Train = 2.04. Caption, % of Total.Test = 1.77. Caption, % of Total.Val
+ = 2.32. Caption, triple inter-annotator mAP @ 0.5-0.95 (%).All = 84-89. Caption, triple inter-annotator mAP @ 0.5-0.95
+ (%).Fin = 40-61. Caption, triple inter-annotator mAP @ 0.5-0.95 (%).Man = 86-92. Caption, triple inter-annotator mAP
+ @ 0.5-0.95 (%).Sci = 94-99. Caption, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 95-99. Caption, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Pat = 69-78. Caption, triple inter-annotator mAP @ 0.5-0.95 (%).Ten =
+ - n/a. Footnote, Count = 6318. Footnote, % of Total.Train = 0.60. Footnote, % of Total.Test = 0.31. Footnote, % of Total.Val
+ = 0.58. Footnote, triple inter-annotator mAP @ 0.5-0.95 (%).All = 83-91. Footnote, triple inter-annotator mAP @ 0.5-0.95
+ (%).Fin = n/a. Footnote, triple inter-annotator mAP @ 0.5-0.95 (%).Man = 100. Footnote, triple inter-annotator mAP
+ @ 0.5-0.95 (%).Sci = 62-88. Footnote, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 85-94. Footnote, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Pat = n/a. Footnote, triple inter-annotator mAP @ 0.5-0.95 (%).Ten
+ - = 82-97. Formula, Count = 25027. Formula, % of Total.Train = 2.25. Formula, % of Total.Test = 1.90. Formula, % of
+ Total.Val = 2.96. Formula, triple inter-annotator mAP @ 0.5-0.95 (%).All = 83-85. Formula, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Fin = . Formula, triple inter-annotator mAP @ 0.5-0.95 (%).Man = n/a. Formula, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Sci = 84-87. Formula, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 86-96. Formula, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Pat = . Formula, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = n/a. List-item, Count =
+ - 185660. List-item, % of Total.Train = 17.19. List-item, % of Total.Test = 13.34. List-item, % of Total.Val = 15.82.
+ List-item, triple inter-annotator mAP @ 0.5-0.95 (%).All = 87-88. List-item, triple inter-annotator mAP @ 0.5-0.95
+ (%).Fin = 74-83. List-item, triple inter-annotator mAP @ 0.5-0.95 (%).Man = 90-92. List-item, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Sci = 97-97. List-item, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 81-85. List-item, triple
+ inter-annotator mAP @ 0.5-0.95 (%).Pat = 75-88. List-item, triple inter-annotator mAP @
+ - 0.5-0.95 (%).Ten = 93-95. Page-footer, Count = 70878. Page-footer, % of Total.Train = 6.51. Page-footer, % of Total.Test
+ = 5.58. Page-footer, % of Total.Val = 6.00. Page-footer, triple inter-annotator mAP @ 0.5-0.95 (%).All = 93-94. Page-footer,
+ triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 88-90. Page-footer, triple inter-annotator mAP @ 0.5-0.95 (%).Man
+ = 95-96. Page-footer, triple inter-annotator mAP @ 0.5-0.95 (%).Sci = 100. Page-footer, triple inter-annotator mAP
+ @ 0.5-0.95 (%).Law = 92-97. Page-footer, triple inter-annotator mAP @ 0.5-0.95 (%).Pat = 100.
+ - Page-footer, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 96-98. Page-header, Count = 58022. Page-header, % of
+ Total.Train = 5.10. Page-header, % of Total.Test = 6.70. Page-header, % of Total.Val = 5.06. Page-header, triple inter-annotator
+ mAP @ 0.5-0.95 (%).All = 85-89. Page-header, triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 66-76. Page-header, triple
+ inter-annotator mAP @ 0.5-0.95 (%).Man = 90-94. Page-header, triple inter-annotator mAP @ 0.5-0.95 (%).Sci = 98-100.
+ Page-header, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 91-92. Page-header, triple inter-annotator mAP @
+ - 0.5-0.95 (%).Pat = 97-99. Page-header, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 81-86. Picture, Count = 45976.
+ Picture, % of Total.Train = 4.21. Picture, % of Total.Test = 2.78. Picture, % of Total.Val = 5.31. Picture, triple
+ inter-annotator mAP @ 0.5-0.95 (%).All = 69-71. Picture, triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 56-59. Picture,
+ triple inter-annotator mAP @ 0.5-0.95 (%).Man = 82-86. Picture, triple inter-annotator mAP @ 0.5-0.95 (%).Sci = 69-82.
+ Picture, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 80-95. Picture, triple
+ - inter-annotator mAP @ 0.5-0.95 (%).Pat = 66-71. Picture, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 59-76. Section-header,
+ Count = 142884. Section-header, % of Total.Train = 12.60. Section-header, % of Total.Test = 15.77. Section-header,
+ % of Total.Val = 12.85. Section-header, triple inter-annotator mAP @ 0.5-0.95 (%).All = 83-84. Section-header, triple
+ inter-annotator mAP @ 0.5-0.95 (%).Fin = 76-81. Section-header, triple inter-annotator mAP @ 0.5-0.95 (%).Man = 90-92.
+ Section-header, triple inter-annotator mAP @ 0.5-0.95 (%).Sci = 94-95. Section-header, triple inter-annotator mAP
+ @
+ - 0.5-0.95 (%).Law = 87-94. Section-header, triple inter-annotator mAP @ 0.5-0.95 (%).Pat = 69-73. Section-header, triple
+ inter-annotator mAP @ 0.5-0.95 (%).Ten = 78-86. Table, Count = 34733. Table, % of Total.Train = 3.20. Table, % of
+ Total.Test = 2.27. Table, % of Total.Val = 3.60. Table, triple inter-annotator mAP @ 0.5-0.95 (%).All = 77-81. Table,
+ triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 75-80. Table, triple inter-annotator mAP @ 0.5-0.95 (%).Man = 83-86.
+ Table, triple inter-annotator mAP @ 0.5-0.95 (%).Sci = 98-99. Table, triple
+ - inter-annotator mAP @ 0.5-0.95 (%).Law = 58-80. Table, triple inter-annotator mAP @ 0.5-0.95 (%).Pat = 79-84. Table,
+ triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 70-85. Text, Count = 510377. Text, % of Total.Train = 45.82. Text,
+ % of Total.Test = 49.28. Text, % of Total.Val = 45.00. Text, triple inter-annotator mAP @ 0.5-0.95 (%).All = 84-86.
+ Text, triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 81-86. Text, triple inter-annotator mAP @ 0.5-0.95 (%).Man =
+ 88-93. Text, triple inter-annotator mAP @ 0.5-0.95 (%).Sci =
+ - 89-93. Text, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 87-92. Text, triple inter-annotator mAP @ 0.5-0.95 (%).Pat
+ = 71-79. Text, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 87-95. Title, Count = 5071. Title, % of Total.Train
+ = 0.47. Title, % of Total.Test = 0.30. Title, % of Total.Val = 0.50. Title, triple inter-annotator mAP @ 0.5-0.95
+ (%).All = 60-72. Title, triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 24-63. Title, triple inter-annotator mAP @
+ 0.5-0.95 (%).Man = 50-63. Title, triple inter-annotator mAP @ 0.5-0.95
+ - (%).Sci = 94-100. Title, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 82-96. Title, triple inter-annotator mAP
+ @ 0.5-0.95 (%).Pat = 68-79. Title, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 24-56. Total, Count = 1107470.
+ Total, % of Total.Train = 941123. Total, % of Total.Test = 99816. Total, % of Total.Val = 66531. Total, triple inter-annotator
+ mAP @ 0.5-0.95 (%).All = 82-83. Total, triple inter-annotator mAP @ 0.5-0.95 (%).Fin = 71-74. Total, triple inter-annotator
+ mAP @ 0.5-0.95 (%).Man = 79-81. Total, triple inter-annotator
+ - |-
+ mAP @ 0.5-0.95 (%).Sci = 89-94. Total, triple inter-annotator mAP @ 0.5-0.95 (%).Law = 86-91. Total, triple inter-annotator mAP @ 0.5-0.95 (%).Pat = 71-76. Total, triple inter-annotator mAP @ 0.5-0.95 (%).Ten = 68-85
+ Filter
+ Figure 3: Corpus Conversion Service annotation user interface. The PDF page is shown in the background, with overlaid text-cells (in darker shades). The annotation boxes can be drawn by dragging a rectangle over each segment with the respective label from the palette on the right.
+ we distributed the annotation workload and performed continuous quality controls. Phase one and two required a small team of experts only. For phases three and four, a group of 40 dedicated annotators were assembled and supervised.
+ - 'Phase 1: Data selection and preparation. Our inclusion criteria for documents were described in Section 3. A large
+ effort went into ensuring that all documents are free to use. The data sources include publication repositories such
+ as arXiv$^{3}$, government offices, company websites as well as data directory services for financial reports and
+ patents. Scanned documents were excluded wherever possible because they can be rotated or skewed. This would not allow
+ us to perform annotation with rectangular bounding-boxes and therefore complicate the annotation process.'
+ - 'Phase 2: Label selection and guideline. We reviewed the collected documents and identified the most common structural
+ features they exhibit. This was achieved by identifying recurrent layout elements and lead us to the definition of
+ 11 distinct class labels. These 11 class labels are $_{Caption}$, $_{Footnote}$, $_{Formula}$, $_{List-item}$, Page-$_{footer}$,
+ $_{Page-header}$, $_{Picture}$, $_{Section-header}$, $_{Table}$, $_{Text}$, and $_{Title}$. Critical factors that
+ were considered for the choice of these class labels were (1) the overall occurrence of the label, (2) the specificity
+ of the label, (3) recognisability on a single page (i.e. no need for context from previous or next page) and (4) overall
+ coverage of the page. Specificity ensures that the choice of label is not ambiguous, while coverage ensures that all
+ meaningful items on a page can be annotated. We refrained from class labels that are very specific to a document category,
+ such as Abstract in the Scientific Articles category. We also avoided class labels that are tightly linked to the
+ semantics of the text. Labels such as Author and'
+ - |-
+ $_{Affiliation}$, as seen in DocBank, are often only distinguishable by discriminating on
+ Preparation work included uploading and parsing the sourced PDF documents in the Corpus Conversion Service (CCS) [22], a cloud-native platform which provides a visual annotation interface and allows for dataset inspection and analysis. The annotation interface of CCS is shown in Figure 3. The desired balance of pages between the different document categories was achieved by selective subsampling of pages with certain desired properties. For example, we made sure to include the title page of each document and bias the remaining page selection to those with figures or tables. The latter was achieved by leveraging pre-trained object detection models from PubLayNet, which helped us estimate how many figures and tables a given page contains.
+ $^{3}$https://arxiv.org/
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ - embedding: 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
+ index: 5
+ object: embedding
+ - embedding: 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
+ index: 6
+ object: embedding
+ - embedding: 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
+ index: 7
+ object: embedding
+ - embedding: 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
+ index: 8
+ object: embedding
+ - embedding: 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
+ index: 9
+ object: embedding
+ - embedding: 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
+ index: 10
+ object: embedding
+ - embedding: njqIuTFaqDyzuEY9VYw+O8HqiLpgBag9UH83PXB3Jjyn1RY8ZKyUunzbdD2I9A89+kgsOVurJ711DTC9NON0vWZwBzy7SSw8bbCVPLfJNDr6aya8LRfUPJB9TjvEVSE9zPwUPAISXrz4C6O801pWuwWspTwV+ts7+waCPETpzryVejA89tK1OuNgJ7rhuNO6e1TFu8z/7rpaptE7D2UUvSn7QrxxjQC9ffGmPNjspDzbqbc8ZE7aOxbZtzv8xtC8PTQ/vBKgZrqnCEc7JUE7PDHyfb2/qKe87tVXPXOuy7zwsW08ylq9u3UaZ7wMUuM8E01TPMcrI7slWo87MORtuiBmvLvC3gC9h1e7OqTo9zrbtes73fGZu+AQnDwCDBO97tqtu8wJ6rvZEBU9TJZovPrjdryL29i7lBvfOSU5PTrFlpS8OTDiPKa1M7yOVPA8vk5PPBJlj7zk3eA8ovDoOuo4rrzbdxG8EhSyPOG/Zjv9QhU7S3+gPMhhw7tXg4Q8MlVMu85+J7s6gt27kAGYutaIIby5I4G8kahdPUL4sLzmKgk93h8jvIgKFLwLvAg6ONs8vNeG6zvftrQ6NcbuPH6EK7wfzFE9UGMuPAexITwq2uI8V3pTPcBRZDwPJzc8Tq67vAe+bjyhN/67MucDunUj4jweoD29XXKYvFG3ZLxduKE8ZmmXu2q5wTwjkNG8ZATGPKaAWrwktjC996qaPKFDjzsw3mY6DNvAvIjrazxxE9675+yIu7eARbuUz5k5kA3evBvFLb2mgT27bkYdPIPcqjvaJ3W6Wvr7O/NthrynQgs8DeabPIPUObtW+ZA8zDe1vA9xgDwv0AI8hm9EPD3YyrrKZiy7isa5vDMteDwaKx48SKuwPMlA37w2WSY88LbqOymKpDkuVr081bhfuwO/IryMnve7QwbRvJ/5CLwzvQG9WKreuzIbnLwe4YI8lNrBunaFWD3JMDk9ycpkPNrCAz2wFaS769sjvGwFBbw7R0A8YLQGO0Lhy7vck+K63DImvDM4sDwsLIi5Tk85vEGp1LsBKBk80+2oO6qD0zzk5GM7xL1JunCi4bzjKX+8/4pCvAHlIDsR07E7G792uukX9DvoCgy8MVq/PIlFqjuNie47Z4brPGopWrsenH88s+izvI/iI7wxg5Q8fBnYu/3cljuovFm8r7VovPEAXTqWSJm89b++Oj89eTurqJ68hXIAu+crCbyupVM8k6uUPALRLTz8OK48HlNoPN/E0bywnPG7t37lujhHJDy+qCS9URmWOoMRq7xW0PS8nJShugDog7yPj6C85DsUPOQHsrw1uNA7v5V6vFAC+7uvkaw8wxqsPEopiLxOUoC8uSkxPJKjQ7zXRE+9U9CAvCnHyzoFwJ05+DoAvSEAQ7wt5um7M34lvC8XmzxJs648l9NJvWNE/TpY5kO8RpJRPRRniryt9lw8yeWGO2dFhDvMHaG8m5rSu1U4nrs43Ow7IC19PE+YMzwkzLo6aZ7KvHfDyTrWOKm7iAF7u/RR7TwK89e8ebXKvKsTvDv3aPs7vHdXPJHQobw9U2g8mrWZvJxVjjw4HYY8APpSPA1TArwEK5i6u1Dru9bcSjqmgF88AlUTPcu2DDu3fw09Y6/Su6XAszizKOI8C2RjvM707rvHBqk7o95GO6w70DqWNek82YOivC+CBzp3gXE7CMVxu6oakLzd6Ci6O4wRvVsaqbsZ8ba8DUS1vDSAOrtL6DE8RVh+PAbmfbkcbBY8n6IovIJeNDwth4m9J9dVu8GxITxnJzy8ffsOuxv5VDzq5CG8XjYrurwhS7zBMNU8SvTqu6M+Jr05qTq81gaFPPavijic0bE8YshPu/0HuLvQI4C4EiL0vCRqBbxK2PG7a7WmPD2IsTocIVY84x7ruaKpDj1pAeC885bbvGDlGLwvrlg8hUhYPG1F+ryDeoi8X+0zvHowljyqfIU6w9zrvL/NNrzc7Qg8G3jKPFY0H71Ktq280WxMvGg67TzNa586zVnuu3aJhjy2Ti08qyLrPF0lzrwYHCc6jEvPvNwwHLzAZ+07vfeFvF91/jvXt1u8FRaNPKkaTDy9FMo7HeKkvH9qi7zPM6U8hqkEvC1p3ToGNXg91AoSvVOltLy1u468NUbyvKve8bu81Oo88FykvJ8Oirx8g2M8JcZRPPPJCzye/7U85LGQvMHAjLvpjaO8HWtwvZkhMbzaCJM8zoUsPOkJrLpWuNm5iNgWvTjkjruAQOw85X9cvPXqJLuMHdQ83HxLPGjzGDxbkMm8eIdfvfNpHTyHwJU8CFO+PCH6qjzKLnQ7eVZ1OnNPoztGq667A9ACuiQKmbqBvnK70TqGO27oSbxSa848zdONOylWrDwqXGc8nSqQO/33wztNZJa8Tu6bOxrPDL1xYcu7HI7zOylqYTugKIc8f1jgvG4CF7wZPO28Dvl9O2sIUL2BnS49u401O3UxKb01pDK6NOplu+7PR7oCJLm8HpqlvBKmrTzTfY26F/YwvI+Cwjzek8m8UrucvCnxIjuLu6+8EI2lO4aIgLt+i547lew9vDAn/rqX5AQ9yF+OOk1uCzt+CBE8Cm+SPH0uqDzptjK8RHiOvASt2Tx9c4u8LA8UvUBuabsBEG67iPvvPH3OHj2J8PQ7U0nTO/GtTzplzH28PIlXOW4SkLsXSGs8KypOPIUunjzwWpc8z13kvO6v+7t59zw8sNpPPC3VQjx5FZg7BMHtu3Bhujz+m8K7McbxOyaFVbw5s1o6VsM9PKGtA723R6Y73ElWu6OYJLwfQNK6IEd0PM2WuTsZGpy88eD+u6aSRro344e7fASsuyW33TxKp0G8ME5LvEVlgDzZv328KtiFPBuw5DysORk8P83VO2sJZbtlMKm8hQ2evEMD4zyWRPM7suVgu6wFtTx5pZu8WK2+PEommjyXp8c78MYOvOzTCbuKgQs7nShyPKMecrzXA8I8ALkTPLYG0rvMRvW8yCfdPFmgEj1mMJ08khSPPGRhBDzurQ49XYg6PPkqJL0Eqku8wzHSO9I4obqy4Y87v81YvKvfFT31SA49Fx+XvEuRTrxCiJG71DooOmG9iDx3bpQ8pNQROwAi6rsYFTi6x4luvB7HMbyxd7W7QNm8O5jkiDyefrK7olXcvGEyxTyZS/28yDijugHci7zDJ8o7iPO3vKTsJL1esWM8LQ8zPQJG4bvVWG28T5CbPL6NO7zkQ+y8QdcVPapmejwnzfw82q2HPFIdzjtxjqu7o5VBvKRQCbxFF8q8dVpgvINkzbzC7jU7+H0VvRBiaLxr7uW8iYFmPI/+Nr1Jpn+5xf+cucO05rywJry6Fr4AvR8BBb0iTjw7E06PPIjvDLyd7hw7G2pvu7mFFr3TRUa8CpS/vBfh4DytU7q7h/n5u5Vu8jzf6r+775MZPJPQf7zC/b488OVtukbVY7z2dZK8n/lwu5UVLjyWVfk7KMOgO0gBkbrtCD49WHoUvHzz4rz7Log7QJArO6+ElDx9RWI7Z/I6OxEABr33HCO8RLiqPCYQRrzbI3q86Sk8vDCrGjxBgBU922mUvIAnLrwkSrc7sAuwPKhikrumciG8278KvCJAILttN8i8P8r2PDbribzlFX07gN/ePK83/TzSwRG9rXp2OcDbyztYbte87rSvOsPD1rg84hA9o68hPBxKj7zjrGE8d/waPbtQibwUUG87kjGEO6MILL15IRS9ld1fvPOsA7yo0qi8R4CFu3jW27xSik08UIVzvG9iyDsZGau8sPu0uVG64zvNIlQ7QFwrvY6iuryPmgs9AG4OvSE/yrw09WS8jyQvPOUExDtiZmc7IGrgvOME+DxiFP+7H2s0PC+6gzyhLfg7kjJ2vJdrVDx1m7q7JnXcPBPVjbz3Ya28RcIXvKPu1TyAaVC899cmvOSGjbuNLVy85N5DvSyugDsvnUQ8OlS7vMFMBjuMjNs85QXAPKo71zwjW2m9jPKsvNlG3Dyu3ug7hsQIPcojC73oCDA9Uw2Vu1wfN73HrR28FDasuxVzKjyRKDE898YDPT446ryjqHw8c7GavF1SKzsl61K8GQ+HOZ10Fj2Nc1s8oe1+vDH3AzxKR5S8Qxg/Ow/AxDmq06S7dM4GPUaZgjuLzhW97BCxvPn80jylfmm8Ue0mvOExEDsALUQ8R36ruwvgNjyCU0U8SC7ZvJ6Qt7tOlvc8ZIO8u3TIcTw5eic8VhgsPEduRTu9JgE9d5VmvEROWDuWj+s7lQwTvNDKW7zBnuU8KpDFvMXfwLsGJMc8mfF1PNy0hzo5l8k86LGmPGQd1LzdCMQ8CX9GvK1tojvvuBG8Ks0nPOouXLziaO68SufXPKuDxzyAoam6dCaaO5dww7zNvNc74U8Fux1pNLzdx8e8u1OkPMYmQDwV3T09rdEPPB5E0zwKmg89RyGMPI6+nrrWqWU8kBuQOmWdU7zdgzA9k7v2vF27UzzYif687rsyvHGFo7zo5BI9baKJPMwAQjy2pCM7UddoPF0CmLvOZpM8NN4Ivfj67TyFgGU9l1e3u0JiO7zElg09ViArOjwCLz0TBkK85TvtPNJ4VrrzD4w8U0p4OTtvFTygHTu9i2OoPPr5tbqFmlm8e+zEO3LySDtA8QO9vtHTPITmrjxuc0s96jN/vPJU/zyNBiY8y2m8vFkm7DxxwAC8eIjsuqDyED3R4/k7/Z60u23c+LtD0Lw8G8mdPGzn27qs/2A7haDtvDZNgjxTlcS8klUBPIlPIjyhzqc7Z0qKvA/gU7wzOeu6dJnovA5qBj1nBtm8moGpO3w2nTz5F2S8kNuBPDhqBj3YPi07sHj8vB484Lvz9sY7N0PSuuGSAL2h4Hi8ze1GPAHfAj3cdp683ReYvFQqnLzBH9087FxVulJEhDxMbTc8DbcWPA/XibvoEnW8WPP5vA0+rLtT/yu8j2hFvKMuBL0vcrm8nlbPO71QtTzfOZi86P4/vI4tazx5u0G7jpqYu78gWDyCruI87cq9PKfSJzyHbr48kl9SPJuejTzx9fA6oRzsPKPWwTx1uoI7mZLuPAOBK7z/Hy48JSMQutwWJL2i/w+9LEo6vKQsz7yKLsq8YQoHPIZJrbywDPY8g6fZOy323jwALVm7vxutPI+LKbyhYgY8puUDO6mVQrzjz6W7Zvz+usbd5jo6sgW9SYqtOW2Qnbw44a82CS6SvJDh1LwLOwE8ybGxOvAbSTwQLJy8v28Uvau6g7zEkiW9nPirurkSuLxuzl08nhMsPA0mxzxo9Ja8JaugvL754jslSEs8DttmPEZRSLzVzHE8dvLgPHk6Jbt5Cbu7xn8UvGnkLL2VP708n4ZBPH0ZJ7yrD3w8jDzvvCt0Izwo55y8IiU/PKijZzq1lZe88SnjvBx1Azwj5ra71aGuvFDRnbzXqew8WTp7PMWVlLxSIJo8OLRivCz68DtuxjQ7YxKDO4UoTjt9Bh87rhQmvIHYWzzCrew8RLrlO0/dqrsvf8w8eiYYvVKWjbwZJDw9jOJuvA9xCDwZNks8ze/TPHAJMLxHNnC81rtwu+LJpzxLCZK8ZLPru/hsjzxb6Io8UyDiuybtv7oJPD68k5pLu+qv0jrjQYE8zRUvPeBSrzu1naK8/Z6Ou9osBTxfJzc9BqXRPLK2B7zRp3I8+HCUvOVuZrwOxHK8T7KOPDBzvTzXUGq8IihFO1Cj5jzOpS29cyIbPTVqAbwdCIq8b42XvD/l2rzEfje7+02CvLx4V7xgPV+8piGlvGjWQTxv+4u8JIwKO9hfyDy6Zi47vnbLO8TgvrzGWdQ89KJgPCazzTvtEf87jWzUPI/ce7wmnAQ9JYELvSRAf7yx2bE8rGIju3sTorxbYSa89z7Huy3NCbw/c8k6082kvJfpf7r0Byo9BhDrPFjzALvVFQg9XsXHvNsyc7tYD5S8s5cIPHUUljzHHui8aITLvF+dGb0Yj4u8r8O3u9kkJDut71A8zIh5vOiMfTw2ASM9WnZhug6jqDzDIXU84DmxOwTRljuTvhG9X6I6PAOOirynES28k2+zPNpl2DvSb+c7LTwfud4UwDtLCgG7A8WzvMeoqTts6oA8RUHWvGXH8Ds40KA77aQPvULsyTytnWA7Zn/CPG2JYLwQzq06PZKjvBvfsbvplIA8giY8vLf9H7x2dH67dZuoO7b6oblDuiG8plinPGF7KDuYF3479J4SveHSsjyHloQ89fg1vFoLrLshfyU9nXYCu3YulbxiD9U8qZyVOyAsJLxNdes8x1P5OuLEn7yh6Sm9F+2uvAt/FryDeou74zI5PYQPqbyhkYm8PVgyvBdAATt0Di48fL/ZvOEgc7wEcOI812HtO3QFSzuvcIi82jBqvOkJ+bw72+68jpyXvJCVLr14qZQ8K2ZuPNLTxLw5BTG8Y4klvFufkTy0Isg89vS6u8be/jrh02y8cKf+PElMHT2RysU8lK2jvP6BVDyc5oC7OWAxve5HxjxdUnC6LqyuvJsTLrx49Ua8+KqIPM8RZDyftoK8MI4QvSpPzbwRI+G7cKutPBCMYTwvP7u7nYtNvJl+yjv4fv47zQsCPbPTNjy1E0M7SFP6O7j5GbzlIPu7wmEMPH3DiLwh4YO6J0PGO7MXkjts37A8hGGHvBu+g7zLdym70dvyvI6zVbwL+A69IUXSPLryELwaYY47yEAMPB5x0rmfHxk9FvgPvWxXbTtMZ+Q8nXKNvGfnGDxt4Gy9tHL/vAYkk7o6oCI84SMpPXmudLslaDW7AcTJPIKk1jxgvkG8x8duPGyG8Dwp2TK8OkmHuxto+7qQA6C8yAjvuz0FhzwYrLQ8mCohPJjpX7yeYsA8bh1LOGXSebvRQzm8zUurO0zKCbtfmNC7GmEbvKW+bTyjNCi905anvNDUx7tRRyE8lG2jO2huxLkn15E8LVp2u/RKK7wET9g8uUXlO8HzxLsDvoE8/ZrwvFEZSTzQvaS7CdeEPC+uBrxymJa6jpoTPDDt8TwkrT07M94JPIW+ZLxF/0E8D3x5vLbG9bwUl487xrAivTh0xrtfmlS751HGvNL8DTu+4xG7f1RevLW8jLzLARY8fB2KvItWpDubHvw8WXmtu2NM6juTPSG9ll55PBjcCz3Dox88hAY+PaQfSr2VZpS81Jc/vQDHu7uTwxK8k0iXvHhrqDzq8ie95a41OzUkEjzh3Zy8bHO1PMUEEryCiMU7i2EzPTbkKDz5VhA7ekcauwoe47wGtee8f/GkPKgcSjx8GrG68FbOPHJRt7x+8Zs83uZpN/4t5zyYsBA8wDyVO33SLjzRwzW8QSOiPH8Q7rurzEa7aLnQPJ6xjjsHORC9fWyYN5azObwd7048SsGzPN5auzyUJcU6nWRWO3NWTTyc1KU8tSKuvCZmvDytL8y8jvnvPCcvmrx9wOu8m819vM0fWbqyw3g8OI6/PLDMAT3agi08q8XTvNAE3zw5/T+6QAwtvA+ZibzuBoy7p4kKu5F5grwDry09sGyDPOdDELxpvSC8nPNpPK2iXTyiHkO8tM/nvLzsdjsy2pe8btnSO7/TjDsJzuE8F6ELvFHtCTifeN6855vsvDgZqbxI/ae7m9UhumgYizw1wda8BEaDPLfA5jwp/i+8ppoMvZ/B0byg9Qi7+6efu8IPvjzFjkA8x8WAPO1ZlTxFDN88m8DHvE0snLxNk4Q87gSyPPVvgzxlnuW88pm/PLZOtDlq1YK89zFKugdHDrtPsHy7Ut8IPLWahrv0hqQ8DXw5PCTx/Dy7Kae75zQNPWDB0TyEbYo8ebAWPc02m7yANQ09zOFtPKnGRztL97q8kSv2u63sb7wgZ7G8BCylO9YbvTrT87i7DWosvDbndbzKUJ88SouCPMC6q7sLFWE5obnbvL4aHTrkH708f4/zO1f++jzBsOG8kKUru0w37rvhc6m8yXMKPRbkezptdZO79OBrOg/5FLyggc28Ua/hPLEqVzz6fEi8YuwHvZoM6rv1adG8oCGxPEcRXbxj4im8cZ4+vF0QTT1YNFK8XfV3O2mTgzx74RA87JNhPG9EVDx2ezI8U/u2PB+kyjrfJ+u8Icp7OoMnmDxixVk8Yc1MvImBJTr8pbu8AoE+vUexDDwaGcK8WuFBPPrcortw6RE8EB5EvGFxFD3RnBA7rGQVPINf2TvZFtg6lFcvPAePDDyt9Vk7zt8MvPqaETwdyLc8iWjYO+OOEj2jgv86Y89yu9vMG7kPv2k8daSZvG3i2DzulY66OYjiu17OATzKX148jhTLvKjTSbuoZxi8nhUFvR3AgTvT7ig9INvPO+mOFLwjluI7dc00u+W9LT0IR2+8NwdHOaxJsjzinTg7854kO/J+0Lu5pwy8kk+EPHAl/bs9H5U8+leRuszUwDzAjMm6ubBku8AvpDw9p228LvYJvApuoDwr1AA9YL7gO91Bvjtpieq8YIiWu0d1XLyPi3o8GTzTPOaCILxD9K+7U6ydPKVJ2TyXAY065IGzvPBrHj30enU6UaAePECovbxmYyg8Ej6iumFBgLwBEea8T59CvK8LozyHI1i9WzOIPFAUjTxurgU5nPhEvBrpVrwWHaY5kmWTOv9qI7zLko88NXV7vDVeAr1F9JQ7KyTPPPNTjjzfMCU9obAIPOYtbz3EzZU8D694vFPBKjzw7MC8Ai3qu4FTA72cVPa7vX6/OxgaBj0yUJe6sw5UvM8w3budYiW9XW/evEb4xLz440M8ZR4PPfbKiLxVN9S7J6MqvDecxTsQ4ja9x3mzvBrSpbyR0W27UNTJuW/SjTyN3w29CWcBPSVgkLy3uVw80DsrPHqBEzstQAM9WmoWvIeUxLw7vp08DIqJvIoBIrhFcgG93SvuuzoXGzz/isu8SbjWuVTliTo5R5y8SG2TvBMnpDzKgTO8g6UDvV+AiTw0wCC8ByMKPNPNvbrNEb68ZpmAvNEkcbxkR2C8oT7Su9Eq07yZf3e6YSZQO+8syryRaNK8aXDPPIAKrDzc1fI6Hi6aPPArMT23Vao7xIu7u+7kAj2kZgM7SqKIPJRuK7oGMQe8uV+0OzhfMT0UoQe9ogZ9uz8J0bxcvYq7aAmYPAxHoLzLZri8lQFQvLohNLw1bA48R7IVPEyGVTy1jw69TzUSPMbCKLxC67w8OkNZvQ3VyDyu/y48cCgMuwyMHDp67X88q8+suw8hDzz7ksq7OrBvPCNNtTzKJEy8+wvyvJScoTzVc+a7Cs4LPcUDHjx1qsw89S0TPLr8HLx05kI7ApQmvHDwA72iUhC8LZGsvKkj1TzKKk26Vk/DPG65Rrxenpi6qBM3vOSusjz511M9IeklvBoPrzwkozw7g4hLvGa2wjymZ3I7eMwVPHF7k7z87dI88+2XOxs5wbvOlKK8IM8MPEq64jqHPg88P/6cuutYxbzWDkC9+FT9OuLPgrzn+vS8qP1xOxIXED0t02m87wdUPYn6xLys4Ju8Dh2Hu8CPgTzo6fe8xiczvaMcGDv7Zx48ApVAvPEwabtp3Jo8iHJsPFJ2oTx/SdW8ulLOu+M7jbzKW8C88usYPFsNPbwq3pS8nPusvJI8EL09fKq8Ndisu6CPAbwCfw49jSJcuqGmYrwS42O85yS6vEVZSzxgLJm8ODcAvZ6At7xAPzw7dxzavBePlbvg78u7yqKIPLZnejxAmxw5g/5HPDDlI70GL/Y8WScRvdYgCTymF8O8nIH+vHXZpbyARCk75/DVvJLfMj37GAc7vtk+PPJf37uFkOS8x5ZFvCM3BTwktA69HxoMvc98YDwSgA+76sKjvMcbn7tsigk9j9ZrO5VIVrzP0Lq7O07hOidYKzzSjnw7ACWrvCTBSryBO2u8KgPquywpADzzLJs86qEIvUhQ6Ty0pVQ8Dp5vvPOi8jiibHc7AQaIuBcKejsh/QG89yulO4aB17y00OG849JHPRzVCTzn2jQ8gKVjPFIV6LyXOZS8rIr/vCsaQzz7gC68m3WQOotGm7xrQaC8DgW/PMzpJT0ECPo7/7fgu1+ZY7t60J48whbQPOKB6Dyf06g88C4iO6Pf47y9lAw7nKASPc1BizwmA9O8yN2APBtwPLyLtZQ8cGcsPKf9ILwrDaI78m7fPHBNKT1ZET283T1uPAfeo7yoqK+87RZQvQ2kUT0bbLm7YR0TPQO3q7yNzeG7IXNkvBQXTDxZZgs83y6nvLR8tzrWFQA7Vnh6vOi9jzw/+i66/bXEPP9kzbzftNi8HQjMO0klJLpC5UU9Uym5PFqC0TzNwvm7uOqKvPGloDuiONa7M4gSPLbJajyG6Ra9zVDVvKTV2ztcT1k7hS0tPIwjZ7ydtgY964XQu1GjFb0mbEO7cpYmPQ/ksbzvC846ab0bvCZoGr0Gq3y7qpdivLrUabx0kb865tw/vGu2IjvqOpC813OsPFphh7mh+9m6yJuIvDtvMbwkNoG8r5yjPH9fajwnmEG7rmsWvaTrhLzDtjW996SjPKYsHDn1M1e9sfjburBkC7slFX48PFGevKppj7xSfDu8BK4vuo+3vbtZkRg70Fw0PCpd0Ty4cTW9tG9svDiakLs2Oxw9ZyxVvA4GnDwAQzO8jRn9PEUXM70raB48gNcRO3z1o7sNat87GytRvYJlB7wJEM88c7QcPMyONz37+wY9r6rdu1yyqbsXDrm8OoT8vB9LSbuY2iw8NLjKPB9TEj2DmiE8B4OFO3Ao87zx3uO8uz7avJ9qRrtIsA88DTBMvCZr4byDuVe7LeLVuobqizyimwy9K14tPHf7Bb2ZYku81V2au/DjMTyZerq8g8JhvPlgwTyxPEQ8dYKZPK7eRjrMeLm647YRvXewdLzTRtU7U3RRPKSMqbyWs6q8rOQJvebH3LwFOrC8CXIwPeJkQjwYArc8U7YjOjF8Jjx50Hy8XMMDvObyITwl1vu6Vno+PI14MLxyjaM8DqbDvKrEfrsBQRm8XIWOvKMSyTwgg4C6eV2HPEo6M7xtuDW9nR/EPNshZjw9WxK8pgudusDLSzxgSfS8NqoTPBlLkjpKDgA7T3ZzvOaKELwtHoQ8A0wUvO+pK7y5X0G8vuRPO/S8XTxt/0m9PklWuxGTiLzorv68s8ASvPwllrzVVqK82e7lvFlZSrtxh4O8jNwMvdJsJb3u/TO8YTEPvVmTxrpbibg7hcMIPUZT/bqd8DS6+VTnvAXAijyQRb28r9oIvMOBsLsuNUM8czRZPNGJu7yyN6A6MjI0PLfpoLqsMNu8aSIdPeo9E7zhJ8y8ZMhNvFwo97vuVxe6BtRNvPoo7DxYmGK9BbJ0PM4hAjwoY7g83xwTu/1cdzx0jI88uCApOiz1Xju71MS7Js0yO0DLULxj2Vo7Ly0BvMXnfzyT8Xm8BisdO6dpDjlUNA29r7AhPc8vZby/9II8irGMPEjWWDxOfL28BWPkPKNQyjyvGZs7u0oSPOWKvTwOcrQ8NaR4PQqUxryxL2k7qNwDPQpuvbwvBJo8xLVcO3R1XL0gYCI8RyyDvD5FjbxzKbu8NxiwPGDtp7zvbg+9LTCxPGYflTvCdHc8WYuEvLJ6w7xJO+W8fTbOvKlA2zxGhme8Dpnjuj24P7y0GMQ8ja6yvCG8Dz2rRa87p+i0OwDPprw3PMQ78vI3OpEMMrt6gYA8Ef8uvI9Qiry96dq7dzHau/n+ODwPNag8n/PqO08yDzpuFZs8cmM1vVBbQDw1fd88Onl+PNeGRr0QITi7rww0uyJhBjwAwwo9v8WZvJ3bNTz6fZ885RkdvL8TaDx2Itu8UoD3O+Lgbbt9dYm81nYlO8EAkTv23xc8/4YavJU0oLvi/6s8A8ravHJhgbsGgkg8RC0oPBkDYblFioS4NEdXvNk/7DwezsY7HIu2PMkovDydnBc9K/2UvICwqrsGRp281gmIPJKNRrvkFmA9twzYu+hjFL0x9e08+Y/rO7ZC2TzraAS82ZCWvMQS0rw7Whm9hXQqOo8cxjsvdoK8kanUu6W9rzy8oG08r/HYu/GKU7y97P88PyHSOteljjwSGl28Gq4MvRSj7Tx4q8E8PVOrPGw+YTyv6106UshNPPFl3DyCM6K7ddw9PHdPfjwQpmO88Q4XPJ2eH73oOCK85AjpO1HyJLwpamM8SB36PJ14GTtEbzU8CvbjPE/7kbyT07+8JQ2pPC68UzvT8Hy7NVgdvLiaELzNhwa8VQ1MvK9xcrwx95A8a9luu9COijxKtyw3SctTvMhnhbxYsiY7YD8oPEUwhLwLelW89yYHO8yfGj3+NA28TvRMvO2l8LxfjIC8VoEMPUOrJD3+MCW9R7s8u5dgUby6cAg9OlNdu6S3sLxkH6k8eaoHvd8mIrwIKQQ7EnjAOwuMjTwafC48pxczvU2ogDsBKf07OOFvPNPvIDyBU4A6jwoOu5SifbyPfgu8fJ3OPCdHIrxa4J+7dVMtvO9/DbsLatg7Q7oovPyzBjzgVDy8Ub0Uu2pOjDyl0dS7aKhtPJJVAbo/kVW7HZggvG6VAr2dNbK8J3bXuaqktLzkKwO9zVeRvLAnmzu8Hsm8nwMaPCgYVjwFo/O8NYCzPJusfTz+Lgy86cBFO3k71Tqf2OG7Gq7gPKz0xDwLzWI7RAVtOzFvhLwkNJC8cNp0O06Iyrx/fFA8sp4RPR9AobiTEbG8w9RQPZjGUb0V1dC8mQQQPaAAL7xXzwA9txF9O8BU4TxP8Pc8fCEjvGP8Szx39am74kYCPIq/ojy2uw29jjQiPMFP3jxzWnY8KMVcPCWdxLtO/iW7x7ruPC77nbu9W6E7xhWTPBTfLjwncaU7Ym8yvIUqPbtsJTq8pTWjvAMupby0WQS9ThCdvLGF7TuvluQ8z1zFuhEKjDwqaeW70TdgvEupgTuNqfW8pQuCOz7l/TyUKXo82td8vMSQ9Lz59PI8geKUvDKwNTybpMc8SsiNOmHuubwJp467LHUCPHKaibwXlha9arm3PIursLuU3Y88DV25vEbCl7t40Q28TxYhPKoLrjyu07G75s7aPJF5YrxgN188ImxAu5l5WTxJiRi9Qj9GOymqLL26YAc9Ca9TO/ImsDxG5ts6l/7wOxVwizvsPMK8QrCpu6DDCb2KN907o9rAvDcEAj03VV88KpiWvFSVdbrwHCK8ayrSut3SYLycDpk8yrlXPDTMz7yoZ3e85pHqO3/bAT1+u687MAeLvA950bt54Jq8UOJXvE8g0TzYT8O7B6egvGQUzTwoyG88AS9fPUBKgLyPGKm82QAsvGg7LLzzKjG8j9NvvHLVMbyZKyS973oTPA6xwryWP+o89OO6O1sUA7sP8p68AquUuw/vyDyqJzq8YEeAPMo+2DwpHeu7G3YHvMN4Db18pOS70/E2vOjkdLuI/xs8nysFvJ0wHL0CDyA7nr9sPFRG/TtaoyO9IB4Cvf0lhTypWFU8Q4iGvIv3Qzs8JAK8XtWNvMOzLzz2Hgs8/Df0OpoEnbthwKy8VammvEZ2gbxnzVE9E4EGvUJJgzy7CAA9mbeOvGDRrjvEN7w8uQ4RvICjiLy4NZO8kpe6u4RM/js3CuS8WZY2vISVgzmEFni7lleHuxbTMrx5R268DqwnvLleAjxp6Ty8TniYPJ3zdrtcTeY8sdfZOwnOPTrHCqM8cjz8u44lVLw6vvA8+tUjPA==
+ index: 11
+ object: embedding
+ - embedding: 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
+ index: 12
+ object: embedding
+ - embedding: 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
+ index: 13
+ object: embedding
+ - embedding: 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
+ index: 14
+ object: embedding
+ - embedding: 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
+ index: 15
+ object: embedding
+ - embedding: 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
+ index: 16
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3929
+ total_tokens: 3929
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_import_document_embeds_chunks_without_embeddings.yaml b/tests/cassettes/test_client/test_import_document_embeds_chunks_without_embeddings.yaml
new file mode 100644
index 00000000..3f54ed13
--- /dev/null
+++ b/tests/cassettes/test_client/test_import_document_embeds_chunks_without_embeddings.yaml
@@ -0,0 +1,86 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '132'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - First chunk without embedding
+ - Second chunk without embedding
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: J0nRuXCUg7wpXMY8dhieu/TC6brWICI9HGElPRjgrry6Uoc8mcXVuz+psLwVGjc9r6a9O6Mf0Lz7D647t1NMusmM0bzV0987A9uQPMiDarsZRZe8ggKhPEdUKDy7WRY8I3IKvWvjJT3vqda8CSIpvaSYajyrt/Y8f7YPvA1hir17LA89O+dnu5WZ+Do3q3C8tXdkunnUpbuPZS27gd/CvM23Lj1PBJO8zzg4u9A4qzs/GQK8ICUaPQ8XfjwPuee8p+CEvKQ/DL3YRBE8Hk1zPGIUJLxKj7K8dH7xvHZ6pLxJ6648XK0qu60NLr39Biu88N2QOwbbibyQm8A7oeKnvNpqL7sCLqW8KBhWPIjASrtREGg8Jq51vI4dpDxhqwY9DCFivDtEFzxZBFY8q94KveydLLzyh+I8qibnPLor4DzBZF48NfzouhXiCDsvF6E8BeDQPIsp1DsXUHE8n5dDPDFhl7yTtIs5gjt7PIHbo7ztIdE651QfPXNrCDyGv/s6LQ5nvF/aPrzcuZC8iFmiPE/pbLygEb8669qMPDGRkTvaasI8UYW4vHbPFbwTpAK8va3xu/bb0zvcfFW7RLA7O/5JGDwmrYe8vt0Du2sHHLxk9so83MkjPSMAhzzH8LQ831+pvPXB8DyTu7S8aD7JO2kACbszPQG8nVeDu3RvBrxdFCq8ok8vPZY7Bztfwha8SIEROr1Yc7w3Dxa8w6+jPBbbSLzTenU6Vye1Oovx77tSzlK6jxrlO8qhaDznEEO7XbMRvM5/77zBdnm8FxJWu1RjdDydJSU7QonzPKhdNjzC0Ru8xLCOPEINNLxVCQw9t1qmucYEpjxr5Jq7KveGPLkmPbm/Byg8XUEUPHXTpDweDg48rjrJO/JVwbxTZi88+2vwvOkR+7ps9Vy8to9OvMxOorvgeqk7/K5jvKu82bvwAB69dbBgvO99m7yRax09SZqOvIITnjzDfEM8if+Kuy8wzroYdJ47EdUGvLQrlTu8lRQ8MGkYPGpo1TrDY6C8j+8TvHXbrruEgma8swjPuwjC+7zwY7g7x2WIvBveKrthIgU8Pe3Hu4MgAz3DXHm7egojPIS/mruzyds7peRivDH4SbvJG9S8MU9RPGb3ILxwqU68cMtMOtwFqLr3x3+8QU7rvDq/1bsdu+g84QcLPabbHzo3FhM8wnBKO9EpmDz+wbC85QRhPHKTirwUWrY6gN5cOGCHA7yDss48kWS7PFa4WrzTm8U7nFu5OyvT4LtDU6c7zTJLO+Q/Szz1iQ69lr5bvEX4l7xBQRk8ftTtO//5Qzxclq+8018tPBZqp7zB81Y8Z2nKu85MHLzVlxg8D1S+O/6xwLzTfbm7jikDvDPv3bteAe08TxY2vPpJ+rtQySE6ANMtPJOMLry5Uze8O1j4O+uKIbwu4tw8KJLLvA72tLlEcoi7loZSPZh/wrzIhCY8cQYEO3yYGjy3Uei8F2WMOxZPeDvZQcQ7s3UqPbViibxUBKU8EFMXvZzD/TvapxU8esrjPOhKFz2ENHc7p5wEvD2p0buJ1f48AXgqvOvOZjz7ZZy8aPMKvUlW4rwHQuY7Q8WavKPvLbydZPi8wDZSOxARcrxsN5U7xjOivHUVuzxvaAs9Ce6OPPETnTxC9MU8FICIPEXpBrxnYS28grpLvOAzwDs59nG5dikVvYhPl7zVGSs5/nHlvB+BazuSmno6E9vRO+6+JL1IsxQ7Lo3jvOWdl7vsG/Y8YIkVPYgV4Lzedoo89kMzvbNPHj0sagS9I2S5vJ0PgLxXdTW8WbFkPKuG4zxoRpW8tr7nOtg+4Lxa0Oy72pqlO7j8xjweiJ28hRvFupFW+zwNxBm7nXcgvT7EbbuIyfG8e7aEu0bRrjhdDw+85AuePG3FqDyoUw68diwUPPgUxTyymfU8S+QYvM3HXrvbW8m7Y+HbPJ0gIr1fFgm7C5egOQ0XFz00CnA8vpUVvd/ZWzxKt1U8qaoFPUDI0zvQ7cW7lPGcu1clOrwGXwA6v9AyvH8INbqY6G08ndOKPLuz5byc9Ec9ThfWvJyQ6DtXC2u8H1RlPPAygTrlcUu7nQYZvJNZaDze49I6uT+tvHe6HL3OCwk9ZmKEPMwHkjzITSA98y66vJ5HxrlEh4i8b4mdvJied7zD7XU8sfbXuwasdbzoiQ89hsBDPIS2hrv7iKS8Zinlu7PLiDxBCBi8uMrivDN0tTzByZ483VDyvDgk2rzxDFw83qa4PFUBFLytVSy87ceku61uTjoXeYK89NckPJHpLTy4/y+6De4yPB+yJTx65bg8SP88PHFYBD3EDtI6AqfoPIGaMbv1+0g7OW0kvQAny7yu7oE8HvXbvJzPHzwmK7I8e8Y8vShMxLvZUps8UItrPLzKvbzEoba8s+cJvaGeATzFsmA8G+mhvKfC0zzCYAQ89qwQOtOVRbx4g2S80PGRPKg7rb1pCyw8pV3YPLqefLyj2ck6+BBSu2MvarwI8lY8Lpc3PITTCDwFXMa8/uhUvGkJwLyEADI7f0OsO7dD3zyjd6e7rbHJvGEbsDtH59w6P3qkPayJqLzHPsk8QjsGPQGjuDqEJxw9DfAZPUmzHzw+QUi7JXBjvNLMZDv34QG8U/ZnvP2sTbwazsa8+R12PCpumDwmkJG8H0McvKUKZzxQRwO7WratuzTno7ygXrA7wUcgO/uvpTv939s8KqtVveC6zbufapA8NiwEPdjCZzyGWhc82ywzvWIBEz0RGZi7wR7JubNemzoW0jO8WpasvBZ4Ib2JFhI69/XKPHxxxbz98r07wRCMPBe/6DzbOwY8JlIYvAAoVz3sI5m8kY0WPaRuyzyBm+g7MgPAvO9z3ry8Z7c7hA1OPD9u4ztmX4q7FaVwuxVN9TvUq1O7UCy7vK8AHDyZwoy8hmFSOZNVNLpBMoa9fBsZu4p6tzzEkyq8fWWmvK0IZ7xs/mS8q47pPAKyszziL0W8Sr5fvJndfjrWbvq7eZZHvBOcIDxtk+A8uscWO23n2TzR+hm7fqD9upL1UjtKAVq87pWuPD8YiTtNU4w7gIW5PATf1Ly/59e8T6idvIfqHDwfVTW5yazJuyM4LjxHYME84HUsvNCBTjwrF0O7r4duuqj1h7xn+zi7IJQFPdl3N7x1hxu8EngwvLbd9LxDKSy8Ma8CPKQomLzCqCe8OjAqvVoK7bw61Yo8XgRtO0UQmLwKciq9r3KfujrJ9Lwmdxc9dYebPJ4VCD0NCOi8Q6XYPPXW9rzAMLs8i2QCPDqtkTzQEdE8Ew6huyigK7tVCgO9ekp9uipCN7xM0gW8LW4JvRWmGbwO/IS41iwrPI6VFb36ht26VQ1Yu8qE57nHs6K8zenavFhmRzx+XMw8j54IvW9QXztvCQS7m23lvNp/Kj2bfYo7CEDfvPhg8TzzhJk8/3sKPZc0H70BOMo8vxeUvCQFubwvgLe7adCSvI9S4zzormG8vZkbPAmUkrxF7ra8xQApvJH0OL1MBWk8Z25UvOy1VzwnjZq8fDJxvEX2O7wwUSk7eo8XPT1bXbxqJ9w83sspvYEBBr1Coh09jxLfO1Hj2LxNaoI91R+ru0xO57t5BSQ9W/AqvY7/GDnx6zK8FNQMPfKKCDzRGB888PrtPIembTz2AhE83EOPO1BaiDw7rws8Td3WuwIghjugvi09G0yLPP/TLz3Qeu48+tJKPao9CDsBvw89lQVaPDrzNzwKTMy8rfaSvMcPwzs6qqe7pyuYPPFzmzxpukU8EPzRO/8sU7y9DjU8SbPYOs2RoDzVaUG8lDBPvd6LML1zEYu83E3xvJJj9TtmGRW9eppQvLpMyTub3Be8GdwsvAHvKTwIzRe8siMbvD5nlzkhXAI8LZcVPVTG5ru3Wxq8Ro07PX53xzzfjEc72pqHOa34FD1TBye8HVOfPEXvAbzAs3W8qmPhOshNYzzVFqY5MD2KPOk/HDzuYsk8ZvQWvOYojTw5jOm8mgFRvEnAPruc3sW8oGtpPO8g1TsyW8s7LmkIvUcWnTu81eM8wGXAPN+6ELyUjLk7+UBJvM9FgryYKpC89WwuPAzeYbqYabm8VdAqvMR0GzwQM7a8W6X5uwYrjz0CNYq89aoBPfq6ZTs7csu6wKuIPLw2srxqcRG9hFZ1vH2PezyPEVg8ALblPNxujrvuWVQ8myxsvMjSA7xvTO26OVZdvCpsjrwusS26bD7XvPVtizyZMac8D4KIvJPN+rsYJh+87qtqPDNVe7yBH6a8+ljwvPh+JzxEXoS8L6eXuyR7VDu4tqE8EiyNPG6ttDvdTo880sIlPPULlzyGEpQ8m1yKPNiO0rxn3QG98sIcPPLRG7xFSdi8/44qPfSJMTwpkvM8LXhLuvnjBbyyb2M8nw4XvO2TlLtMarI7bPk1PH+GfzyjGgu9j5wePZyXyjzVk4w84pKNPCQKn7vKXbk6KEfaPMfFjLy7sKo7yF0FvVuuNrttQPa7PV5XPANOoLwYZS89JlVSvMd3DL206om79gAnvcOZq7wfEAe8DyfDPKXnmDynbSk909S2PPqBQjyfnni7n0vZPNZdqTzlvae7LuXjPGLj6Tk/69M8EFt4PKdJlbzLTlC8XcmBPGZzzLvSphA8sPvSu+M5KjyGdpe8W0C/PIwSOT1pnoM9PdoMO5LWODze6Cg8/70uPKy9l7w0YS68cFqOvErqBj0bOOw6mTpbPfu4IjzrgdO8KoXyOyn4YrzZ/zM8osfJO15l7jzVyw67qJuLPLMdnDyZPxg9UqDQPDkUebuFote8lVHTvD8b6boyqTG9dgxkPBR51Dx7HuM4f4mbvGKWFT0n0PS7LOZ9PCCll7xU5yY8hSjBvFgs5bwxryg7Ifa6u3I/DryKOzi9lLzJuVBMmTvEtEA8SHWlvPSif7xc9fA8nO+VPGzIR726Pla8DIIJPGC1ajxIUdg7h5n6vPfsP706dfQ7AQDOvCH9vTu3RCq8Ui3gOyrLFDziXf88kTG8PLz0kzzdoLw7f71jPP9M0bvdGK64rW7cOpn4fj2yvUA8hE2svIwpPT2mt447XVmCPN3gED0bKVy8g3n/N7VfqTr5Ihc7SgWhu8XymLwxdZo8ztrCOp+cWDvWQ9q8v8akvPX2KjzCpAG9coaUPAH4MzzrS0Y896Xlu81JNrzm0B28gbKVu1VH9LsJa708KBAuPFPpITvQLLi8wWV/PDn1FzxzZ/k8zXkvPfSezLu2F9O8PXV7PHHGOLxFq+o7IvNEvBeUMr3ZRBe7e+GDOcCTujzXQxe9f1ujPCtbsDy0cK08Z0faOxWeHzwEfpc81Y4Au2hDnLu9oI88wBRzPM/zgLy56U480ZpTPVQZPzw1ZwM8+gAGvRZgszxyVhw881JJPbLEd7wmNNy6TcOSvDqeJzz0zoS8E17AvFd8n7ul3lY8eGocPWmjTbvCVkk8aV8CvFLmyLzscKm8FyYivElXJTwaGM+8Y4k3PZKTHT3d9lA6u9VqPGpY5zrLK1E8El+4u4/IbTyffpm6oKqVO2QDrrxZOyw90nAyvD0wijwA9B+89oUbuniyhrxkeaS7xy0EPNLioDx9LJM5QIDYO0e3orwzlTY8CgmePPA3wTnsQbc7nGpBPECU/LyPMgM8CTf5Oxqd4zqll907iAITu/OWHzvJCCA7AOzyOiqOGL1qKxm8OnUtu9K5abyvwye8nOAKu89Ahzwzts287MBUPFF/vTzutLG73MiNPHqKtrvFCSO8edcxu4POm7yClQ+9G7VjvWRqLDxhZKW8QmqUuyeKjzxSZ+q8tJzKPEnbBjzqEzm8NcmlOjV3IjsDwaa8YkIivb3LTrzrZaU8lCmyu9Cn1buwSJA7zjHZuwWTnDzsOkC69L2/u33NpLxaWZG6Q3wuvHl4v7yVMYM6U0yCPBFro7u14IM8baIcvaBC5TzZPQO885osPXKzGTwOQ0C8h3J5vIAOAb0moT29dWwTvcoL1DoKXsU8zAY6PDM5H7u2Tkw8xNUJPWPktzwV7f67FTHUuq/JuTw44Fy94reYPBaP7jzsQ5W81stIPFkMRD3qcBO7U4UhPDCgzzy6vl88lfOBvCF/6TuuIb082o+XuztpTDzDhbs8pN37vBVayTxg7Gq8PIfyu/g1JTqrORY9izE+vDFSpDweSx08ZcujPINU0zyWraY7Po3SOvcxDD0V1gI8SHXQuo3BxTpGHTw8dsXPPNQcfzsVJo085/mGO471WLzXwSC81OLMvA8l5rxiho+4b7CxPOcRATw99hE9FoggPd9aqrwGZoI86yMAvQdAlDxpNxc8uD0ZPa3is7uQ8Ue8dwZEPBfJhTy7JAk8sRMLPEBG3Dwjia08CjMovCV+IT1tUae8s7BNPNHNF7z+mYa7BJMavUv18LqsJqe8SGS8vG0WNr3NyiY8EPvivI0OWbug1r06RdfXOzqTkzvtxoa7LDZKPSuGqLwzZtu8VVQkPEXzvDzHDLe8BO0WvAHYCjzadQW7rYhSPA1dazx7hcq70JmvO0c0pTxLBWK8Nn7pvCEFFbzjyaE65xeqPBbGAbwTlMo7S/2TPLi20zyMN1W81LL9PAXsaLyteJM8X1LVOf9fE70XFOO6uW3+PLHZ8bnTU6a8Ye6jvNZoKDy5+A49JAZjPAU2nLyPQ5e6oSdZvK2s4LxV6M68r4xPPLMgH72xvDM74vmiu6OKMjw6LjQ9gANqvFU2gDsUQgs9k0X/vHPoFzySb6+8567yO8W7gDwDchS8g6AhvGkTEDx+4PI85nNKu1AELzyIUYY83MILvMjNHz1OyK68rcLnO4GKCr3kqfK8Ogu4PMLWLjsP6Sy88PFkPO/1uzyQysM6ae+pvGjOeryPEuG8C7QkPfR+yrz2bKy8oPkdPUXlODtuz7G8qu6FPDQtZzuxnQC87p2VO5zXiDweXn272AKnvJcR07o0hpa7zY5UPGA0GryT6Ku8TmdivS+YOT2cboS60gbHu09RtzrLJoQ8decIOdHaMrw2jqY73MYiPaSvbrwjqwq8E0f0vElkeTwa2Zi7Rh/Qu8q3N7y5/py8OZhwu0nwNTuutmi7GtK1O0kVG73iYz48eG+6uk49k7xiIN07XHravJZO/DvhB9y7bX9cvMey6DxEpIw892cVPQNTCLwi7wa9BMW3vDHXpLzQogY8rGzHPCEpmjxoURu9Qe2VPJUzFj0b3xi7ibPaO1qURDuA0RK8JCHoOwHZYDwzURS6TY5UvARB6bmaVsg7bFHxPGXzzTyxV6u8YsnHPOoYzrvnf1s8j4uzu2mDJDzkhDY6nAqMvEW/XDw3Kok7Ni64PNNUxbz4KqM8aWkOPbmUHjy8tYY67V0gvEEnJ7whA5U79SEPPAYvCbqDO5Q8iLBivKgeID0dfdI8iC64vM+KqDzY6IM8AQZYPKsBBr1NMJ675LtNvTTY7Dt6mGY7/3TfvODfLj1Y1ca8cWmJvLH7KjzoJoo7CdO1uTHJKL3g7W+8sKdfvClkQbxkSHQ86KP/vCu6ZbyoLri81nVbvIvnIj2KTda8ajQovHRRUjwtbHA65aLvOydCBr18gxq8NLaaO2eGujwWCJS8DOYdvSRYOjzXLp48FJeVvO/lQD2TPKq8EurgvKBX8rxyab27lbCgvOIpyTsIgK+8nce0OxjKCTzTkxU6kd1/PNTJvDyTz008uhzZvCqEpbvrMSg84Wq1vNuZSLwmCSm8xw6bPEE1i7yIPu+7ZcdxO4H9u7wnl+Q84OLqu57rCbxJMoY7P3T/O7tqHLwMljy8AuNCPJy7FzzYGGQ8q+vZO7X1G7sUXro8xx5+PTuyBb1ob1u6jwudvBpEPLzH8wa9YKKpvOgAELv4ybM8THWKPM3OcjxWy5E7ThfGO9RYdbvg4j88l4mevIuBpLznn9S7O1HjPK3RrzzMbz69blzFvA5msLurzdu8HPkevDJ8yDz+YC08hb8IO8PcXjsKq447PYi0PMjfjrmszRq91f2ku315pruaVvy8unrZvARdeTyFa4m74hx3vFEwHjzs7zq9JuoMPPT7s7y+UZk8dtckOxeqHTyS3wA8MC3hPHbY2TxA3QG904d2u8LAKTxT/js8hmsYvHPkkjxeJim8CU5MvMBan7rpNvs78+lQPMg6wLzHn4I8mhHPPBw8oLxayTE8LPt4O2vaOLx/FBU9ZVYMPNahP7wXSBM899nxusmLGzvuZcC7MbhcPNcgqbsszf47YZHaPB+3Az1EeDW8BZ36u8CvGDuZVEc8o9yIO4eXsLvE9N67ywbJvOmhTjyyoY47xitxvH19dDu2LMM7y7uSPLzvLzzhUzu8YURCvFp5BT27OUG9MB2nvHAdsjvt+LO7wDEuvHVRYDxeZ5m8XTaHvHuXVLwafpQ7t/0xPM3mDD3KJ9q77hkYvLsHTrzoOxY8xgkHPPos2Twxwc67qKp7vO/QYLwG+V+8ITK3u9J8ezyiiIq7l4IMvKlDL7y/PYC87xCPvCg4IzvqGb65iDK7PArpHjtjmw+8SiCxvCt1j7yT1yU9dAdnPYrVhbsRRZ681tFlu+wqpjtp+wG9UhT/u5H81TueXPe80DjKvD1fYzttLOc6U13Ru6mf0buFt1K8LwrNPBFCPTwLmsO72K4/OxeQgjxkfRw78CozPaYeXTyaF7c7TksAvQWIDzwAvqo7icJVvKDFk7xGwc46kESuvGjRHj06FkO8fBo8PJlUTjy5+gO9/D4AvLfvn7zzsec8V633up5/nTkVeU+8uIEMvNMSjDytoKC9cWo5vXXg9byR5747wRsDPIvsYzytS6Q8AL4SPdAKPDu0rLy8o844PJG02rw8EVU5ZEflud9okbs2ox+85bvDvNOMH7tKqay84m01PAbdsDwnSu68z9EDPELP0DsnvRS6Tdibu8gPQjyK/Rm8ejR3O4TEhzznW8U8VOfZvBXIDztdh7m8NnEUPdhgr7wqIxC9bopwPCDq3LzTin+5U58lPa+hb7uDFgu9pmfiO/QhJrzPPOK7Qvfwu97/jTw/LXQ7FO8GvNyIWDysbbc6cz7APLJCJTyQdgk6sVABvH7TSDv89hW9WqDCO7w6lDzErYK8z9GYO5YVhTsYkDC941cQu/h7IL2oqTC860jIOx7IfDwviRS9x7wNvRDPC7xFIEM9yoiNu1f0L7u3bIM77wCMPMbABz0QXAm7ovqiOhV2srxxhOA8zghAPKdJBDsNc1A8hLwNPRIggzxoACC88fw1PLZRJz3nCc28/lHFPK5XLbqY3528QE82uslPkbxPouM8vf1jPOUrcDwoGBS85C9gPOR4ErwSvdO7GzeNOQ0C7DuW0xs8mHkcvKlPmbzgvgC8uLXsu+kth7pF88C8R7SWPBSarzzov0o8dQV7OzHfujvqyJw7NgkUPKbrIr2yT3o8K4PMu5iGhbo/lw+9gq/IPIdZKrwyx1G8jhAAvSCUobpYZ+47tSkaPRbReTuivZU8RSqAO7M7vDwQF+U7Fgwgu/MzbTwHt9+8uI1dvBOooDw8vwO8Sq1LuwpnRbxIzOg724fIPH0wV7yAPja8XUsxvOsoHzytEBi9JbiFu3rC1DyFD0+8q6EiPJFn0rx16as7mc3uu/NSvLxk4po6FF1xPM0EpjyAWw89JQcavBO0SbzacSi7i4X/OXkUxTxOCr27yyiyu580xzw+/oi8k03IPL83JTvKjhu7dzOPu7CoJ7skRxO8mS/svKaDPr0jyPo7OQogvM72Lb32Dw09OA2dO3RvQ7xtwW48SUmtu0YxPT1Qseu8SjQOvS8ePLuBmiG9NHsoPeEEKbzpmoI85PfVu7p7iTwUMWI8kj3/vDAMuDxVloO8kebwujCDlTs8w607FtEhvZmbF7tEIak7gR22vPt+OTxpmaM8rrHdOvUU/DvzkJ+70xUaPDONjzxSDow8VGEJvWF58bxFKX887/7WOwR3Zj3Yk/e7C0v7O1Jf2zt7pCY8xZNWvJ9Tmbzwfgi9UyVeO8SZG7pNLLw7aksxPApl2zvd/Tq7mLEJPc5VLjygBqs6cFm6PB8MLzxMpYg8chdnPV4FQzwl1zE7bdUaPDzfSjzQQoq8HMIJvC5n3jsy9dA6dGmdPEAkxDsuw+M7rMq5O4v1LT1RaAO7s/EQPeobPTxtUb28hb6tvLeD5judaz46USzsOuzoq7xX4se7hvGJvP6rETy+4AQ8RT4TO2GO4rtEe0S8gVE1PJT8yDzDdI07loQSPeWtlLuJHta8Cwnou1AgoDyQ0n08R770O87tuDx+T0A8NQkTPJdpe7iU8c08F6yBuz/L7jsKsi+8/PTGPFLSzLyrNkS8CQ0JPYp9/DwU6mu7EOPhOyQhNzzMaeO7dwgtPBKADzz7E2e640c5PDVilrz1MKI8fs/xuw6CTrabGVE8wD1fvJlnAb0UL428fCIpvFEVczu1P705JtrROtmLtLz1lkS8MvCOvMqOcTruOaK8Rix3vR3Ll7zUCNi8szkLPEjgeTxRXzC92/xeO5cFKb049pa8UAoeO2RRFTwyrEa8g5gLPWYqNjzpGbu8sawvO7kwL73yF3i94BIKPZAIUTtMiQq9qvi+PJQkOLyAW8A7bD3SO8Tgq7wgPJC6SHJCPOBMNTtkmfe7qn4yvSo+rjvv21o9ZnGNvB5M0zwkxBY9W5lPvNmCBbsfuvO8txWEPDZvQj2ZA/U7v1SEOhSmcbwcDZK71TE8PDhh/Lxfcd+8p2pSvEAEaryPlxM9fH2nvHqLBb0gAW05lJ+FOUwpULwus++8t7WIvG8ejrswjz68uvfbOi4fIbxIFHa8kcdBvcXbuTx1zVu7dbCjvHZOTbuNSQ+8B3+GPHX8P7zFj6E8u3v5O+/NMrvWfju9fJgsPOnJrzx3LLm8BnrAPLLw1LpJd3U7uh//O/tgrTu0bKu7T8D3O+sNLrz05xq71tICPb2IDLvrBDM8HjygPF5emzuntgi9EU4avHnsfzxuQQY70n4aPIfuLTxdU8G8XzZgPBv6jzr7y4+8AEOWPN2E+TvN2xI81ECgvONuTbrBjNI8SFEyvGMg5Dsuo9+8GOVSPIz8CLxBwvA80sXAO29zXry7JsC8R7DkO9bgjLx1XU+8wKZFO30rCDxFrwu9rVQQvWpdAj16dng8g5QpvLXxWb1gadQ5s1WePLjOjzwA4s08Kgq5PFHLCT1KS8s8gTmqOXNfMDxHp1o8W/y/vA9n5TxvE+67WgtrvIUombw3P+28fzMjPVF5Zzv1GA88xsmcO+6S3Lxk5j48apyTu5C10jz7x2g7rLWVPHg7L7whHOG8IYsBPC5JlDtNoNI8vd7AvMdIi7zR7PI7gYGePIebKDqnnrK85oiduxtxTLxWmSY644IuvctejbwSImQ87YSrvGxsnrwQCAW9xzdTPBGkKjujJGq8Q9wMO08DRDwVVbS8CphjO5NBNrzvz9A7dgi7OzBo3jyOGyk84+usPKI8sLsw8n084vOkPHPvFL3qbIK8foC2u1JeKb1CEis8xvU0PW4CuruSBLI6QBdmPH9BZLzNsqU73uwtOqH3ajse8+O88ujjvOZQNLw9iFw85zUnvKTSljydkUM7TfUZvIkmCzzK55o8TIeYvLuu9bxrinC8sjtWPBMdILpQ50A8JaGMOyfS5rzf95Q7EyBhPETZxTocsNm75jQ7O93MAj2qQAI9MukMPXSjjLzV/pA8RAz5u1Deerv3Hq47BPGUPF7xb7yBXzC9FVJYPFFvDL3hKxE9KZaSu0TssDxsRtm8tYZgO7CvgzyVfP682QwOPeX5zLt0aRo83CmEPBSWnryM3NY8CvUVOwPTzDs/kAM8psvzu4h1W7wLKoE6lXmxPH99gbw5tro8oHTSu9KzyLrIFD28XM3aPCvWVzz7vqI8pk8MPIh5mrypiSw7/BmQPGe2BL0dkKE8TGD4PJAnIby6QA+7oEmru6YUJj1QARm898ubvHRnIL0zXfG4YnFOvKTVm7wv60E8Ge6fvB4deLxv+9c6u8LnvAnxuDtMAi08i+sLvX4U/Tvkr3S7GFaxvPtyNTy0hEq86QQjO8CP9DpAf2U7TOvCu69LATwaloS7ge+OOkMhgTxNcze9WX//O/bqjrqPNmu8kwIXPB1sDLz9nKO76EoYO6ayhzyW6lS8syuOPI/Xpbx0fDM8JACqPMuFnjoLot873AyQPPFkNbynGAa9X0QqvSpQLbyZnFW7si1kPB+arbyvqtA8nPHmOz/ytzw7Z1G8OrjVO986mjxWsyU8hWqgvLvFezyFiJ46WACMuaEarDvAdjG87fmavMZG+7nQZhK9rq30u6CFcrxjKD88B+rCu1TpDryhhIQ8mNUCu+4hO7zFClK8GVA3vUWoeDwMqIy7uwMSvbo7+ju270Y8NOaXvFiYJjxxGS+8ofPzu8aMAD0Em9M8rEFiuoxFPjyT0rm6AxWFvHNZ+TqkT7Y7YZYRvKQDpzxmnA+8ZWeSvGa+ijxr+5Y5JDPJuk2RjDoxaic8qp+TPF2/trleuIm8cFgGu6CSo7uqSc68WeFqvP82XLwRgoS7hPOdvKkGVzuIgS29FY99vMfhkjtPc4y8qFMYvMRDBT3W3jG8mumAu5B/ujwB5uQ76zL1O1Th4rucIeA8DPe7PGwotruXcSW7fEuwvPT5hzu2qzU8hcaLPAeggrzA1R287veYOzTsI7zXdZs7CoeTu5COjjzWz3s8atYgvKjFhLxLKei8RH3gvEEa27utMgk7/qcuvVmUYLxKwjM9yuaGPA7cXLuvxgs9zQcoPfyrR7xdPrg85z/OvKpCjbuaIF28D44FPfhP1zzBZ5e73NREvCMRn7ytOKc8FdDZvCjjl7ze8Te7XQqwuxgtMLyaeXg7WX6tvBUoETtOgQe74tCiOxQT/TwBtZM8I9+5vDbJCryBF2G8LbupO2des7swp4g89W8cvUPwE70o4Ya8YZVcPC72Ybx2n9K8FDsYu7RXubmpXhE8SytRvTvILz0rwm+8Qdb8PB+Ru7z62JC7PLeXOhfOIzz+JiM8xPHpOz8q3DzkGBI8taOpPAM7P728LQY9j5QbuxkFtDzS8Au80hJmPJwuUTznz3Q8AdpvO5suN7xul8k8WavoO7Xwkzxb5BI6sE2JPE6lJrxARyI8IZ4GPbo3Grzimsk8WxdUO3Hy/bezlBc611KpvHLd1zxjB7Q7AT9DvIm+8LvtiGy8dC13vNzKFT3EQpq8nJyYO8rdDjxaboy8GyThOi0MBToyIgS8yaMFvAtsfzs4aB88ch4YvMcYXDwqi1a8GBrgPMd23TtaqxQ9j/u9PC+BP7toX6y8gocTvGfks7wTTng8iMt1PE1enLpUuXw70Rk7vNP1hboYWbe8827cvKjSkTw/gIA8AjpXvL4MNTybsAU9lqi7OwMoiTyW56o6AvHru9w3NDuM1O07vU0mvRHM+TvxwcY8/Nz0uzX4G7ya8xK8rTRTvDELcDxVzR681fnEOzZNkjvqz4w7tEAlvMXxGjtkGQg8zZedvKNTzzxOlx69Eij+vBZTrjqZer66RW8Uu2Uj8Lu+8DU8PoLnOt2XALzqRaY7aYoYvCCWYLxygeC88WQIvTztvzvnIzm8B7OAvOdzdDwty5O8joaROxgmq7tuuJi8tQKLvI0717wN0hO8h94ePA==
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 10
+ total_tokens: 10
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '81'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - First chunk
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_update_document_embeds_chunks_without_embeddings.yaml b/tests/cassettes/test_client/test_update_document_embeds_chunks_without_embeddings.yaml
new file mode 100644
index 00000000..29db2af3
--- /dev/null
+++ b/tests/cassettes/test_client/test_update_document_embeds_chunks_without_embeddings.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Initial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '101'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated chunk without embedding
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '83'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated chunk
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_code_expansion_includes_adjacent_blocks.yaml b/tests/cassettes/test_context_enhancement/test_code_expansion_includes_adjacent_blocks.yaml
new file mode 100644
index 00000000..737bdf53
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_code_expansion_includes_adjacent_blocks.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '290'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Here are several code snippets:
+ ```
+ # Part 1: Setup
+ import os
+ import sys
+ ```
+ - |-
+ ```
+ # Part 2: Config
+ CONFIG = {"debug": True}
+ ```
+ - |-
+ ```
+ # Part 3: Main
+ def main():
+ print(CONFIG)
+ ```
+ End of code examples.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 65
+ total_tokens: 65
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '87'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - CONFIG debug True
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_docling_merges_metadata.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_docling_merges_metadata.yaml
new file mode 100644
index 00000000..c860924f
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_docling_merges_metadata.yaml
@@ -0,0 +1,58 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '275'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Introduction
+ First paragraph of introduction.
+ Second paragraph of introduction.
+ - |-
+ Methods
+ First paragraph of methods section.
+ Second paragraph of methods section.
+ - |-
+ Results
+ First paragraph of results.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 36
+ total_tokens: 36
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_keeps_separate_non_overlapping.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_keeps_separate_non_overlapping.yaml
new file mode 100644
index 00000000..66ba95c0
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_keeps_separate_non_overlapping.yaml
@@ -0,0 +1,62 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '127'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Chunk 0
+ - Chunk 1
+ - Chunk 2
+ - Chunk 5
+ - Chunk 6
+ - Chunk 7
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: JaL8uJlJdLwQBmo8OWIYu1oILrn3mjs93fWCPXWyiTu6tPo8dUTAuyOtl7xiVHw6X4isOw56Mb3bPRw98NI1vap/0Lwn3Ia89IgMPX/Bi7uBz7u82caKPPH51Dym1V+7FOaQvIeazjzXrge95EIMvUKtZDuOb6U8FE7QvOZZb70MAo49RMssPAou1DpBtMu89LFoPOZPM7zspUC810DSvNmqAj39z328PTA+PJdv/To2efy4DLf3PGaESDzfEjG98gorvHwSDr3EQkU8eh9ZPJYyMLo3rqC8zirBvP7hNLzhMig9VEHGu2Nc37x5awW9mUM3PPb/97ncVBy95ntcvIuBl7th75u8x8ENu6TnkLwPxNM82I2yO+nMf7v/8hU8iDyOu1LfsDzL4Eo8KLfRvDc3crtE4CA9vPzwuZ3V5zzxykU8t5PVOxCTBLyZtg49ycmpPOahzDuUAYg8VUCjuoNi3byPVL675O3BPM8F27zx1OY6IKwxPCTAPbksWoS6c14tvFvJnLwDIw29Db+PPBxK9LpOoz+8uGTOuyyBN7zYABs8pXzuvFBZoLxF+A08damQuwYkWjxswme87ugAvPvkvzz5jNa8GMYku/1827xlJig8VKD+PNn6FjtYCx88BrmNvBYuiDx/yJG6gfUvPO0GHjwOGoI68tBqvHPnvrzPzZ87JlsXPasVTjw2P0+83dfHvOvByLwc8hu8lieRPC3p1rsmOPq7CrplvE5scDxAxyO8bzSCOhBy1zwh+aA83gKuvMmXtjygbsq8atMnvONeAjxTen26NAHDPHRpsDw1oRM8HIK7PO2PrryUex49KmcAuwbKtTzZKHY8uZO4PFVHRLwoOxU8zhyyPIpSPD0iCI08lHX7O+9E6bwp4gC5VIq+vLH2lLzzXom7FOwMvVVNPrmOaWc8VtaQvCAm1rt27TK9iUAXPDX/drxQy8o886xLOyQYK7xqs2U8rN4IO8mJNjxmhto7FGHJuxRHDTxZYGs8qPJOPIjvVrwXV9C8qxKTvKWc5jv38Q67htsHvJQYbLztZVw78KaCvJeyOjzE6DE8Pg1eO8IVL7u84+m7DEPRO9jgk7xTi8S3ktVQvJVKBDzgL768SI6dO4TJpzp3UIW8hH8zvcFCMjtiP9M7PvyzvIE9TLyKG+o8QbUqPTe45zujRbA7VTEcvDehtjz2lM+8pFo4PKdw6zqIaQu8BjJrPBcp4bs0+AY9yoWNPAQtnrzPt806lALBu/I+yjqGwkw8Jm2du5FxFDtioHu8Zd4zPQ6IQ7z0y408dufIPMQvirt11bi8oNdUuwAR2rwwpr+6ZwuzvMVRZbzeFVk6dHbUPM1LFb3iye87Abu0OyMqA7ybBVs8z7lcvOpk+jtAF6g7GzePu6/pg7x9vL27ZCzTOw8OKTwcldc85c5uu95DMLzUBpo7t4o4PdZgy7u6Kq85e3kIuxdaBj0DLkq84IAQPKFa6zztTaU8apwDPVYmtLzl00Q8PMPeO4NgTDtlGOy65qeFOoLf6jzqtWI8u9MYvJiIRzxKrvU8HTxOvObhYzuAXLa82fRgvFUFHr3GH4s7jMuXvDaN77tQns28jJqVu19BJ7ysJ6Y7sX43vZecAjzvVok3zUuKusaUujxrOZ2829yYO613WrytLTq8e1e3O/Jsv7tNh5I8KmkDvSjELLtcqL483zoUvRjRSrzGK6672l6vvLHdH7wP3Eu8VUhQu8biCzsmWSY9DqGjPKANBr3D+N481xMwvbZpAz3q0ie9LagSvK0gZbwxpIm8olslPMPpHD005g88ZuXcPNVLRLxaqWe78/WyPNnQyDwwJjW9CfNOO9dPtzyyX448L/bqvBSaX7uJy6y8wxeLvA56Q7mf8I28XTIJOeLkgDzYDEC7B6HOOstdTjzQY0c8wsX+u8zSKrwl6Sa79cCVPBzReL3Ph5U7jA4WvN8/Uj2s76y73eoevXxQXDwrRIQ6j0fZPNWjjzv5Zo258iwwvLQPFTpDWFS8jnq/O3E1FzxVWpk8riqnPB5/SLzMzeI8r4RGvG4CkjzcpPm8obKDPGbyxzxIZDY8XTLru/McJzwNOmo7H0jWvNe1KbzvON88oWadPG2erTyk55U8mtC4vOlANrwbBcS7DF7AvI/aurzmyUo7e4y7O/O2XjxeywQ92hwHu/sLJry305G8BqgcPHDq+Tt8BEu8KKb9vBpEkTw6lLU81cwXvSIIlry+BIM801iGPPXG5LzPSUS7xCB9u62bUTtRE1Y7LmsSPB5aRzwyLls8yTqgujy77zu2qRw9KMrEuwn4Hj3I5sI7deN+PB0pjbsun3C74yZnvPRaFLzSRz48MepavLbYlTzDoAU9essKvQvN+bzUcIk8DFd2PHCUMLvHQd+8xihyvJJKqrzmqhi8/d2lvKXsNbw/C5+7JW6QOwSyiLz9jbC8VQgRPAyV4r1sQNg8DKCjPMjsGb0qk/S8kuVPvLqpKLwItKm7liVdvBtTZDx3LB29l3yjvNJ3wLwqsdI7d/0WvLg5WzxRVRS8VdYWvLnNSLszstU8t7cZPWZ/UrndlYM8rEHePIMnujvPdhc96UcBPQBtrDxIKIW8hI8EvevoPjzOvO08nCqYvHitTrwETKO77KvRO3+2obtnycu8ZNw4PGXxjTy4Fv269HJpO5wKerz5WjK8ooKEvEF8Zbv6j448Th6CvSo0LDom1dA8QMHIPHoI7DthKFa72IbVvF12Gj0o2vu60IaGvHFBPrwZMRs8G6ZEvEUCXr1kmKw8+n0JPaWVDL12lmq8JdiSPFpzuDyz4we8+95FvHH28jydC7C7W8gNPTv9Irwp0hk81/MZvXXjYrxuIAg7BCQOPWSK0DsSAh68vyGQuzecF7wQ5RU84xeePFruLrxu8Vy8NU/yvNSEkrtWh3O9dQymuu9y5jxjSL+7ezktvPBejLz7O0k8iQN0PIrAIj2jHdI8jMbuvHzLebyQEYm8N/OavFK6ujxtAu08fNIDPIaflTzWwdK7lBybvD0IUTvv3oa8kUkzPCOsO7xp5ks8AF4vPENTa7yX+Re9U7UbvBtwvjyrpKW8VUTRvG0Eizw1jME8de6qvDFSGrwlY1Q7hwnZOyYv7jygRjq8LE13PBedlDsOUhC9jApzu52N7TsO65g7BWdPu8BBurz3B6k8gzKfvMtZarySpMY8DJXJPAPpjrzFMqa86dGTOpZL1LuLDTA7oiocvH/c1Tz7vJO8o6HAPGp6DL1pBPk7Q42Eu4QntTxzj6s8zKkGvWPrgLsVxNi8F0/tOJEKXjzYr6W8yHqpu024AzyHmbA6I+L/uzRxO70zi8a8hY87vItiAzxYykW85MiWvORl6TzHF9881iZtO3+VdbvDdrW8UidYvXD4qDzp0xs8zyBVvJXk+jzqdT28dh28PIZeh7xeXsU8Nv7nu18kOb2WbAi8graKvIxwwDwxlpy8hSF9PDsShTv4NAM8d3mSuzUOLL0JrcA8s+8WPC5YXzyL3hq8qt0nvMRBa7wVFYU89RN9PIR7TL1XLw489Ae4vGvqY7ziAi87Y1BsurMvUbs0GzI9TfkjupkBALxd7PE8jtuBvSUwwDyM8kO7p7aJPD2vojuxReC7+MBnPGxW4zzGAyE8bb02vMidGTyixlK732sIvDMyAzxscb48yB0oPAI9SjzOu0g8LhA6PXLInjyBbGM8fNFNOl6T7jv/ngq9zQylvD7bC7wgrys83XrNPNVEp7slloY8SquaPPIraLlJpmE8mnoJPOQn/Dy/k8a8HWWfvLdelLxwME29Ymq5O+oQt7vOt2C9kzrFvPsrZbs7h6I7sbIQO54R1TrmZBq9YQXBuuvC1buh0zs894MXu0KAJ7t52q24f9MAPc/yyTw582+7V/f3u6hyLD2iwiq9pgzhOjhFWrwEMmm7EaDzu+sL+7vn4n63qQ9nOykM1TzydyU8KpK8vDAt0jzxXwe93PpEvE0GJzyd+Gu8ZnIwPPaSJDwkbr48Wi+AvMRwdbyRd+M8DX1qPHjegTyn5LQ8ZyZqPEKUUbz2w3i82FuAPOA52bv9d+q88mZrPFcFMzwAcBC8xTQpPNJr4TwXdfa7pb1aPIKLsrooErO7K8a7PNO2Ybt03AW9cTvhuK9UwTx0Vlc7y0MqPaYSXLtxeZQ8tdLeO3QQursWJIS7Yi6cvI9CFr2dWj28dpyyvHzzCj0yNto8FBOUvINYo7vQtoU8bzloOu4Ptjph2gA8Bg3/vH3gUzzgoXK8JTQYO4atert/1gI9J3o1PLOlqztqhss89XnvPBT7M7z0Pp88cJS1PFIXAb2Exfq7J26uO3buhrwvasI7fIMdPV+qODzmRmM89hgsvFJ3STz15Ws8Emu3vJBOhrvAr38799ClPMV/L7zDTby8IvdFPMC60TyOjx8807aLPOBmEryacFc7DL1Du7asBryzHWY8xPSCvDq+zbwQinW7w4HIPHw+nLyTqtU8V4cPvbEBm7vw8RK8GFeIvLReETvwoxS78t2rPFy4vTz3Wlk9hmkcPHYnljxzqj270TrJPA/qDj0YMqq7LocXPPg8jTugLRI9RA2ovKvKCL2PtZu8RPaNPPSkjbxElGA6SMHzvM8j1zsWeAW9wJpdO7mN+jxOnqI85WEiu+V++zyEN8C6bHC7Oj1RALwdXL26LZ+wvF5aFz0N86K7sl0PPbNYQrrLTjO9HtSdO70Grrx5/NE80OXzu5LRRbzw81G7ARjeOkOqqjtVjeg8fqz0PM4jxrv/q3A7hsfjvCyhZTxv2su8s8ylPO9ZyTwEk5287HyoPOgQHz11iEW89GvmO8p3q7wXO3o82XG+vOxo2LwgZEO8UGGLOrMNnzsXzi699jIQO585S7z3V5A89Tc3vcRgOLwklUY8LhdWPPk3N70IOao7OqyRPIDhNLxFtSY8dOUFvW9mJL1psaQ7AytlvKtYiTldcyc7wOyKO34gibpya5c7pTEPPD83GjydCOU8Sbo4OuundbyYEUS8iy1EPGUbsj2lqi265q1gu0PWID2vkag8avO7PPidaTzObW28zudPPFHZybwcowI9CGcMO9A4y7vqvgw83gIru2bAhDy+/qi8HxawvPhDBrwn59O8xnzJOsZWlTwbVhw8L0fSu6aLWLmccN27gb+hvFFqibu8XNw8hZLHO/dCSbvmR6e8CGkGPU/jGTzjQgI9v7hEPayaATxDk1K8l9OHO2O1TDuJxbC8mwX+u4KkFr3PLNM7OnOUvFX8Ejt3Su27rAsrvOGqET05JVM8ARifPDMp8TzOYuw8fGIWvRpxorvg09Y86xXWukQ6qLyK/jW6o9n0PCQXA7z1vWu8hrn0vNjM3zzYI4g8JJO0PL99Urx63pW8YhVRO7ZFSTtew6G7wfwivbxGgjvCZBc8tkYMPX7t57zWFzY8YRyLO+gTLruduvS8JQ7NvP8yjjx/vMy8cFsuPTB+yDwWoKq47KtyOx0CyDzLJjo8lNajvE99Dj2WEZs8Aau0O41Hmjsilis8QxFMOxbcrLgg4Ky8nT9DPOVfG7yOcl285YmPPFnwCD1fmMA8LK4wO9CSYbtfX+E6oKwgvGMijDwp7DW8vEm/O3kus7xmy1S8qfSVPEYc3zsPzAK8qN+lPHL8pTxW2fi7eBrqO0Ozl7zB/Ne71ZKJO1C9Tru/Foe7X9eWvExP1zyyh0u9L2P1PKluGzwBSQs7Mhu4O1Fl9bvwZxu80sZsvOKPD7yfHBi9AHr0vCsUlzwx9I67WqO8vPUK6jz22fi8DUnwOwdVtzs5etW8nK0OPcJzsjwrCEG8dFCsvMfwwLt4iiE99KiUu3b9arvoIsG7V5jGuzYIQzw2Qt27tiAEPKDbiryToLa8WCzRvN60hLx6lUE8Wx49PfAo5Dv4qo08ecpHvSkKcDzTn7a6HhYBPcF1Czzwchm8+WNQvINDALzwd6e8X0aYvLhPj7tCeDE8lbtwvBjMhbwRAaU7Xyg+PEKQ1Dzl0507ERHTu4vYgrrS8s28Zk4/PB193jyvIWW8CfgtPdsI9zxIujO7ngNiO77jpTwr5e88+Du0vDB/eLvXGRY75+a4OseKuzz6eDs9KqCivN41zTwFl+W7+8KpvMZBrLzxauQ8h/DBvPv7LzwMcKg8PE8iPP8fBT1ZHXw8dB77vHNxAT2h7427Jl+jO/86tDzDMR48pxXQvO1C9ztgjFA7hWj4O/td6LzC4+28W8QkvA6i7bwNh5o72gLEPEx0tjZ4Jb08xU78PDR7gDsKvuA7ODDUvMALCTyZtp66vfFRPBpO9LsE77i8NMHvurYdAz1FOJK6zDFePLDkfDx9Fkc94uX7vBZLJTz/07+8vhN5PMkJf7yHLzc8LTx8vOp6Ar3lMdG8qU+Nu8tuO70SpJc8fHnxuwa8+jtx3rQ7+X0RO4igJjzpvng7nBRyPet96bu8Dli7bJ6Bu57Pjzxy55+7h6Dxu6bcPjw8MdS7clSzPKgCV7tGzx+8h5CHPCCPRTy5q8a89GdvvM0Br7xQLEG8dLlnPJVN2TuAS2C8KClcOjTUJDy5wJY6BrthPNXFB73Vkag8WfBtvGXvjLzoqRY8ljoSPSzoJTyWJba7ROgkvBPyazsN/LY8aZXuO5qjYbyAmMk7roy+O9NF/7z3Te+8nW+lu2CNM70BbY6823o1PEDUvbtuHR89T1O6u9s+djwmkOg8fUKuvMtaYLzljRm77ECdvHzfPTyL51I8teT/OXRjZTz5yBI8G/Mgu/+twjto/PQ8M4MEvUL5Bz1GJwi9tTo2vCiI4Tv1UTa9uBcRPPnFjbsxshu81HtyPFjUYjwd0Zq82uQePMsqK72/ldy89xD/PGdfkDssQBy98BsYPZ92ATxyAae8Ga58uwop3jvgBBG85xOxPLzN4brU/Tu8QbvAvOsVUjgcXtO7/BNyPERwBb3hZ7m5/z5Kvc44fT26ojo8S5KkvPCWcjxiqN88PcUkvBYpKryOUoc81d+WPEwIiju7MR+79Ki7vPk80LuaKzG8ZX3yO7ephrzUmgW9w0SCPGweizztcQO9dnxSu0sWnLxFAao6Gi42urM0tbzzvGE7GQ9qvKFvVzy67Ve8EDEbvBuLsDywyOk87O48Pb+wnrxuC6C83vI6vP9egLzlJ6G7oUKOPG65jTtixSm9/zMAPTttQTz0DqS8F5GCPA+eVDpT6Hs7q0z9PN5pqzwbTVk8nGMLPL4Z77szqeG75AEdPEo3/DyNJOy8xfuzPCIlebxCGo87iOLGO7X2kzvr7ok84Xd/vI8aXzwGLMo7RAqvPJni+ruSxFk6PI5IPXPowjuuOXy8NsvDvCgWibxzKN28ai8CvOVog7zxWSY8FKonu2eZCz3ICjg8Od8ZvPGygTxffVA8SeijPO3GaLw3sTU8JGNpu6sqrTwE9XI6JuMcvAE28DyLoMS8mNkBvTx0hjzfi7U8nHqvuUGXNr1SEfi6FCqvuha+DTuNPbE8KdCbOjH7xbw6mLC8Q50Xu0OZHz3L4Iq878Utu0J+PryWOD06hB6IPGkoIb3dbGW7Y0XKu+ySIz33c+m7ANX4vALoJLt16bY8pAx7vNJoOz0Ma0m8cwqzvEW47rzj/ZS8oJZ2vKG/jrxX0gS8001EPHvfhTzeyX88E+CpPJ4m8zz9UqE8XegBvYbDoLyOViI8ISUOvHKWhbwaLTy8IrnPu0oByror5ri7ImuQO75Phbx51Lg8htOIOw74HbzteqK5M0mfu8cccjzgmi+8JBXAPCShobu13Z4851uYPM5y37zRgCs91XZiPVhZsLw8tbG8RFMAvc+xsrwBdUa9pgCavCWJcDz+wpE8zBvTPKbR7DvKXuE70BNkPGFbpLzPNlk8+IcevQz5Qjznrce7Vl+CO+7jl7ri1Cy9iTFSvPBuqTvQxyK9wmMqPHAPjjz0FGY8GiSyuy1E8jxo5d472dQvParYorx9kYG8lSg7vKvukLuhEZO8JcbvuwddwbiFsBc8rd8aPJME9rqrJDK9vroCPdw/wrz3sas7VWsYvCHcv7whxy68g4avPIWEjTyDhDO8qS1JO03fBTz9Ggg8jUQSPKhaPTxNbRu7GExpvIVEj7tIOu07nY8APaVbvbwNPog8kzOlPLs5ZzzOm/08kjMUPN4ZCrwAX888N/SBPCnrwbzlovY8JoeuvAZ/I7zQxgQ7Cd+JPDY6IrzAzzs4O7MmPEYd6zyNTDE8MDfkvD4rszvI9cm7XgEROlnVoDoFgS28mWuLvGFMnjwXD7c7TD+ivAhvtDyi7iQ9Qo4EPNowLDyzC+G8N6mRvKH/Nj2HiQe95t29Oz8xqLvgRp+7S6IJvG0Ygzw6gRq9tGSNPKY+kLzgguo8Y23SPHqsbDzk8Ww7qHLHu42Q+rvdFLA8MxvlOwe8CD3raCO8z6QBvUfCOTxlep686kdXO/n+Hz1Al5c7v8xYPB+A9Tt43dS7rNQGulF+RTutGDc8YlCgPECnbTzAbCg8EP7kORbRqTuZR8E8VF66PLjhIryi5wu933FVPKd86DyqljG9hhhQu9dD8LrsR7m82WT7vPTAhzyRfgY9J5WJOoZ8tDxOYEQ8NT3BPCog/7lWOqu8D8Q/Ow8kMjuMxdA76b2nPPzK5zwa6cC7t5anvOOCizxgrtM8pNSvu6othrzKuqg6yJvMu2YTRT23TRm8+3eBPBFlhrwbYIK8C1+ku6edBr1Y8RA9VaCgvN9yD7tevz876wMdu7fzXjx0tyi9AcbEvA5yN7zDY5u77BbDO6DanDo+KYu7EKwuPC7hMrwlLI870cU6PGV0s7x8LY47ZqBcux7GyTvb7Zg5ackHPC8GC7xIwl28510bPY3hizx89b+8GEZVu9dFnTww0US8TN7Qu8oqNDt5A8879cQiO9IJjjwsKuo8vfacvO+JObwCls28dPZgPDuqvLzny5u8szBzuJwHBL1V8O+7RJYmPUGGR7y4dw+9F8QHPP/UjzxIAH083+tyOw+4Vzx5Xy48AmLvO3Rfuzstcxm7sp/cPAXM1jyTrrG8NlSzvIdyYDz+DqW8EQzHPDAMSDz5MzC94VBjPK2VjDzYwh293WM1vBcy8Lx76So7pRaZuneOfjzS2qu82koSvAVoVrs4Kx09GtOdPEEjSzzb+qm6PX6vPHzZ4zz6zPY78TmPu7EdiTvGFJU8LB2PvGTTkjylRm08oN0MPTkSpDzWZfa6DpiTuQu8HT0OjSq9IMcQu+bvBbz0LWI7AaIxPFI+kbxxRKA7Qr94PLNgAT2Vyii8vXw7PFCeWDykwze8/6i4u9591TyrfRE8zaLjuznGvLt+YLI8lwBavE6yF72W5C29O6p3u+xwejycrhQ9ojmXOzL7qLkW6Gg8/1bMukdbM72Fo8o7keAyucZ+1TthYru8dSYuPcFDETyWb168k+IivNXeSbwdxnk8LhcYPfLUkTxuGve6ofSavO+orDz1+b+8Ash1u6r3DDxnPLC8dSYBvJTteDxPH4g89+NXPNkgPrw5ExM8iKicPLC3DbxeHHi8M//TPOKXGjwrG9S8xr1ZO5RC2jzOSwG9eXCPPKudgLwbGR87aMtAuUd86LzwD0w7s9ODu3moGz2jPz09iKkzvAwVATtkXi07o68cPBIVBz3xZFc8Gzc/vDoTAD21V2u7UPRqPBb3IrzhepQ8tXJpvFrwqbwuA3G8gRaDvC+sZ70rka68Re5BvEDwIL24Ljg7uvIoPKyMmrz/oOi4TqgLvW2nOjzw6c68iSq2vBMKijwEfmS86cD+PLZmxrwtyWQ8QwoOvE3fbzyP0lM7LhjgvAYNJT02pKK6u7ZBOzWZqTw2Ada7zplUvWsiqTxYTYk8RdsKvfV+lLxYm6s8rCm2OwHf1rufA1O8lA6PPHXMdTxvlIC8eA9gvGE+87yd5IM7VvevuhYsOD1AbN65dnZUPFlYHDvRji28JOpyvCeeQrwfDx28gejpOo/Dp7ygalw7FLF5PKqUjjx2Z727QpcPPaBZjbvwehQ8BOqQPGYGLjzCADM8Z0UPPSXzB7sx5lk8T9SzPDxckDxxiIq8sreivL52OT0FT847RynvPBScbDwwN5C8wc4zPK+yCD3g1Zq8TKg+O+LNOrzO7xS9YAvEu9tAsjxL3vU66Wj7Oz3KAbyBs6G8zJ+9vHyArLvU0z68Wo+4PPqgoTvXtvy89W4aPAuedDyAFY48gHW0PK5uarwo8+m8IfC7u/4xdTxqMNY8y2avPIfJjTzViJo8XHAePMz4AzuQJ4M7d7inPBEUfTtBM7W8/oabPCRGhbwSF3M87KEYPVx7+jx344M51zQpPB3Wo7un24G8FQxEOw+FGLy8UTs86umPPK3aQbx4CJU88BYSvLVR/Du9xiu8UpHNO065NL3IYwO79mudOluecLwbqzC8pVHIPLV4qrxqlOg7zpGTPI8zIztNH567lNRMveFsAr0/cBy88hOiO73JKDvDDYm8ma+1POTMS7x9w+M6n2wCPPjcgDtNUwS8nGj8PIjO0jxjZ7q8ewaxOk1c4bw6yku989khPbVxiLslgEK8fA+ePN9MGrxtznw8PqVwvL3ALbu4S0S7ChQHPUeGAryIGjq8dKk0vQjd67tA4VU95V90vK3uxjxRZwM9r32JvCuDljvXa3i8yMfZPG8D9jxo2AE8Up1fvKb5/bzo1eW8p/uRvNHycLxuD8W8kTSjvHdcxLxrnqc8vyH6vCc+Fr3gaAS8+YKjPMGmfDsmY028Zz2/vPPFbDtZqJy8XlQyPL9wc7zQ75i7psWovM1qTjzUnWO8fHEyvKSQabwUvag8mWrZO1aJELwphv08Uu5uO5yaoLx5SCW9CHkDvOFPCz0sdZi8lxApvK9fkDuCPwQ9clf5PLXKVry6z4u8Z5WWPHXlDrv2NDg8Dz+mPKflNbsn+YY8lAzfPEmcNby+BQS9ts3YOVuyvzxlpWA8fYuEPJrGxzu3EB69Rravu/+fRztceiS99+PlO4f3RLxNITm8cxOnvCL9XjwbH8E5KMGWvOpVELzOaOq89PZmPFIzB72su086Y9MBPEhjIbrXdZK8kfKwupDPiLvTTae8XD+HPCJ0Wjz8ocu8n6XKvAUWJDv+VrA7vSaRvDBTcr2xAWm8QP9rOxBZYTxfxQ093xLrPGAHMT35szA8BAEkOnxCuLsroiK8Op3hPFmxEj3xkXe8qPoovAZjsbs39Wq842kkPaxWcTycKKC8ThFcvEux17ymfDS8z06rumax4DyMky084Pw8O+8gibxbqz29wdeQPPOMxzw59wA97Tg0vP6BKr118BI8vodsvGXWlbw8oqi8muzJOeMV3LvhWAq8j+iKvKp5BbomTZs7kNhMvJj9kryaBSy9YlixO3fc1TyIV2S8fAMCO3KIwzucHzG84XcwPFUo5bsSSyY7qzPxPKSO4jz8aou5bWsqPbIykTw2AiM82s+aPOLMBr1mABC8GxZ2uwaPwrxYrCo99viaPDE8jbwE9fc6ln2tPK3Cgry+GmG8ROd4PMpPGrtIbOS8QDD/vCVOAb314fc6kz6TvBmzQLyvNA470MT3urv5FLynjcg8AsPzvE+muLwH1EO8IfJzvP15rboUXjK7HYwEPMNXCr25Nh880KgbuJ6TijyVMzu8NmC9u3QtzDx5xfg86dCVPHUHKbyrlxY9f/lJvPwibrypDBS8qsxGPG2wHbwCdQG9pe29PAXl9bxT1ek8tQBgun2d4TxAgh28W1x8uwML/jxkSJW8Lrl9PMlvBrxzwR07VPLdu0GtO7w32Js87KQwO5NtcTvaq1I8GcNTuwTSFrzonh+8EKAMPb+8HjyQNwE94ISpvJZPAbv7CEi7ie7+PFPGAT3ufh4878AdPJ4CCLzQ2bq6M/msOva6S7wQwO07YumgPM5FVLsy10G8kn49vFdXyzw+BVC7U1jVvG9vMr31UQM8HaHHuqb4hbtiWBk8qJTzvBeLursvGne8aedBvQnKMbwP42m7nY46vNrou7rE3x08LOmSvGqkrDthDxM8w4oXPGbs+bs4evU7e5+lPAoJOjz7IeG8ZIRZvE4FI7xHVwa9zfP1Om0MyLxsNXS85qhXPGl1GryIV4K8ljxcPFbNnTyZXK26cN0lvCvXDjyoY/I7dKniPD/MfTsEkm67E5OEuIE5xbwzUBS9MibZvJkOyjyo3ye7pHe/PJVHR7r48SQ9FjDiO9ucWTzRKZa6b092PN/xUDsbGXw7PsweuyoZ2juCohK6h7dRu6ieeTxq3GG8AdbJOw3mGjvFmva8LJT+vLxFtbznXZU84v6LvEN9iTz9BZC83vExvDEuyLxa1x68iQAFvNQBjzzuhw67gyQsvDwurLz/Yv070cfQu8URbjxvvgi9QB+Uu1Y5yDzyNbU7EcpEvApkJrudFBW89D2XvJvrj7ssaI07PEvKvIYG/Dsa6wk7u4VuvBXfuzwG8mA8qGP8uQlAh7wLdTy7Zaq+PEkyALy1QlK8/UkGvTxu9jzdt9+7THefvFtp1bw+D/68TL6tPOKMX7uhYFi8xHrovJtMWLvnQwO9VUhMO7LuxTxCOQO92BzIO/wNo7gzmbY8yrBdPJLLnTq86r47YF5GPBWhb7y4aue77pCIvLHs3Dt/B6K8dmGNPFAmhbyrp1K8tGJ/PIdipbyhop07SsAAvH/cXzyk7tY8x4JPvAXIozwu3hy8jUkTvNKGHLzGd107ZBy9vK2uvry8htA8XIhFPBMMsjtlYwA9UsovPcqzrzqto9I8AOY0ve5xEbyarVQ8inGhPKAnNjwsLH+7ce9avJygBr0gAog8ywYdvfFmxTsA0fg7RHvBOoWAnbs+3b27aFzBvCZlkjx5JhK7vicEvDKmoDxnbu88HqTZvIuxqLwRLgy7emRCPGohHLxOSBA9H4mxvNKhML3f4qq8fnxNu+QU6ruDcO25n/SAPCtLljyGdgY9/hpjvYwCRz3Ngme8iaPuPJlAtrxl8Dq8XC1CO/EwCDz/dYa8cdsSPaCs1Ty8nyA8xD4ZParXsbxubJM8e4guPJRUjDwruBq7fZqpu/tviDxY1AM8XhCQPA3AzLxWzAk8bFB0vHzH1Tu1Vt07Qgv8PCt1lbzDoVk7eNCiPBNoibuol648vBPAuqa9vzpu7LE7DctuvBdBXjwSPqM8RIl+O+5Va7z6fx+834uUvOAZBTwWBmi8ALzCPDt2ADyV/Sm7bar0uwfdWrtjKmY8/SwXu2AcPruYf4q5U6TCu3gZxTwmi4q8DjLAPLrMojkolRE9NdXnPCQNCTzAdlu7I2MSvMX6Br2fb9O6v4QxvJ48xbsPA507FLkrvAOYhzu1z1y8wxC+vM55STyMs9C77tUSPCP5sbscRuW7zMrMuUVy2bsUTx48flIGPLK9+rtkiw68ShABvS0hNbzKttA8+GJpPHcVijuAHge8mmWau1OTHrvV0lU89fUcPDZuIryUEx481yjvuoYWLbyz3pq7y7qEPFxfpzuHK6S8T1uIvB7v9rp67wM65dk7O2mucDz39C67mcOiPPJeQDqrWtc73qk2vMDwIbu8AH6726dkvOBD2zv4a9e7AcnFvHnjqTxZMY68ffPcPE+ILzxrT1872zEwu6C3t7wFf3i8mvEDPA==
+ index: 4
+ object: embedding
+ - embedding: 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
+ index: 5
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 24
+ total_tokens: 24
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_merges_overlapping_chunks.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_merges_overlapping_chunks.yaml
new file mode 100644
index 00000000..62a846c9
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_merges_overlapping_chunks.yaml
@@ -0,0 +1,58 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '117'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Chunk 0
+ - Chunk 1
+ - Chunk 2
+ - Chunk 3
+ - Chunk 4
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: Ii6EuLQuyryNGxY8CI81u04w5bgcIkU9UtBkPWCNI70vjNM8NxwYPGUSkLz08se8v89LO6X9M72dZDU9uyAcvf08vjqXCZG8Ut0kPL9HSrspkKi8W2SmPME2uDtmxta7QGMhvWJFZTwSGfm8dQBHvZYklzyyRBI7By4avfT+db2gS4g9+wIXu/Ke+jqDDLO8G8yuO5waCrxtmvu71MWYvNFI2zxmAI68L+sLvIIzUTsEj/I8UpSbuj03RTwtU8S8RHljvIIe4rwYtgk8eaCEPKXGRjvx3I285EFTvT9xEb2cciQ9JnOwu5Ln17xVvOK8BUMWPL5LDrw0ua289JefvEUHr7rhX7S89/WVO8rjCruVRLk8ZXLqOz1Abjx/E1e8o0PZvD+Mmzzwx3S8sIwCvbU2YDkHyxo9tL4UvGCF0jy0S4o8aswUOgLszzq7aeI82OsoPCFEGrzDnlY8QkrCO1FwnbxLxQm8Ma+cPAv4Xby6q866yy5QPRBFsDvWXEs6uu20u0i2k7ysVsm8tLCKPPfXNrxiG9O7GgQSvLFjNLxOI2482c/LvNTqobzvnws89HVAvHzYeroz2va7fW4lvIXXgLx3W4y9BddMvBw/0bwfoUg8/Z0cPbkiebrGvdQ8rcCZvOSptDyEJAU7Qph3PGSHRzx9SRq8E/EYvEx5ILsHTqo7Rd4WPb3qVjzxsfO7ZyBpvB8kgrzc2M28svhkO/U18ruAt4674/+huxgBwjpW25i7e/4pPJuFgzw9QBQ7Rq2OvKOt9bvkVM28fEoDveP8RjztBue6dR0BPTMGVDzc3Gu7m3mAPMHSi7wqoA89vWPcOyVSAz0vRR08RoCuPL4fqbw++Wg8oQx7u/fGAD3BPWU8Q1cjPHtmxLx1fCm80F2VvMB2O72UmxE7sDIdvE72ADx3k6U79ezMvLwsQLxSa/e8RzTpvKBgBbw8u/s8y3qauzQzmjq04JU8QZWYOw9zMTqm1Zk7WZQwvHqBFjzgOZM8zBIJO77wwruExWy8G90FvDgrubtAdBO8sZ6yuxb57rzLeQk9CPZQOgpaSDwuihA8HrrpO6cMmbyBE5A5uS4Puz2D57pBGrm7VuamvLc5jTyNUeq8ybw2PFSxBrwk84e80jwlvZI44bmd8zE6EOLJvN4bMbxbGNM8cY3KPM/tcTs8MEU8vSkTvCPWDDxJoAy9wsjrO8r5Vbt4L4s7uBxqu+0DqztkPbQ8anbEPNM9Q7wkRZU7YHBEurs/LDxXYtg887MsvCcIjTw0PC281NWQO+Ci3bvsGQ88ch8vPP9ABDyLDbm8a1qpO8Yxkbx3ZKm43OOgvFBUwbx9HEs8VZS1PGCDCb0aDu47e9oyO9M5GLyIuhQ8kOzXuyBT+TvKugw7ahAIPSG6X7yziUG65TayPLNMnrxmkeG7OmGZOYz6gDrliQW8Mxo8PYK7h7y9H2m7vH+pu16QlTwy/5a8lZOrOra0NTymAXY8/0InPbmVl7xWeKU8rvYWPPtrV7tp8FI8P90uPLfFarrYBhA8GtwPvK31DDsIbNc8AgE1vOoRAzx0c5O8fZkyvV5uv7zHoLw7GhtpvImhUbqOpYW8edcqu+I9AjvaXfC72jcMvV+HazwazTm6dUJvOxkKDDyeXPQ69/rEu+GLU7uJPxq8NpO2O1A1A7uFCtu8CzzMvIwV7bs5/O47Tn/tvIovhrxrIHs6dFApvLJzKb2UXMS8pYpFvCdcx7qpbuo8G151PCf8E709kzw8ErEKvSBpGz0WyAa90AaMvJZCqrsckii8VTtrPKCPKT0Wpqo8k3RqPAAX97tPfNi7rI7FOyBZJT1xBxK9siigOkywErtKB947mDkhvQk0OL17CRS9U2y7vIGotLwN9ZG8k14JPY3P0jtIF6667IlHPH2AXTzNgnw8O3eVvEX76rtPmuQ7r4GjPOiyE72Cb6O7AwU6vLAhYD0l87c6frkGvUSVhTyla/k7/cLlPOGSALs2AkS68GgZvAxi3bor0wa8V8ezujQlaTyBrqc8A5QXPGUXHbxxvyo9RTvCvBATUTwJKnS8tcaEu7hhjTyPJHg7YZCIvGcdlTvEhiA6cPDevC3rfrzZmio7jh8CPB80Czxgdr480KeMvNCLxzzPqry8ImyjvAoAGjxI6MW7Gxqnu03UCry6aOA82ZK0Oz2jirk0xMO6d4zLPPxr8TtIJnS8VYKQuwfJGz3vN8k8gy0VvVphwzu2uxM7GNGQPOY6Cb3RmBq8wu4EPFYUUzhgfQw7+0TZO/m49jwhA7m7lnXfPPbq+zq+1qA84sMFPb6tFj2L22E8pTvOPHqA0bkvQU87Ima8vM4usrxsO9w7S02auxUuZTychgQ99AUavfqszbxcd2Y7cmvSPMnYCL0jKeS8obHtvPmESry/wqa7RQaUvF8woTyZzjg8vWr2OgUR07w4H6q8e7y8O0iA1b3gAJQ8v2A7PJc9z7x08MC896XQu0IBKLyHD3k8LOOaPJWGtzxvEjO9HOK7vEANprzbgqM89d91vLPZszzl+eo66650OjL10LxwHxM9i7WUPf/jIbyaddS7qtIZPU2vnbsVotY8tobNPOmpHjzn2jS8hPlavJLyAjy2nkm8nSJ6uzCrOrx13My6pnQGPBVUBzvW79a8UFrCO1qYHThaZOC7Lz4EPDzmDbz0+9+7rUAHvOOHzbzEEYQ7sTlevSptaby4/V482Q5yPDqxC7ryKJK7u7QyvUUw+jxdLUI8RZRnvMOmSzvtWTo7pUf4Owt3gr3cky68YajHPKsFt7zPEjO8SHuxPFELAz3P2SO8PzP6OldVRj2+jA08AzYJPS8y4buy4kk8s8UrvU2JbrzLmAs81XB5PGdTLzzNvvW7kFkMvN9SBzyqB+M84Im3vMuUq7s+VB067pngvE853jthPWe9XMGFu/FYdjwGws87NyNfPCSB1bkWub+81xYlPRwUzjyZhNE8DmZrvFMfKbyqXus5AoWBvIwVjDxbHR49ff0BO69T67oMZ4G7+b21u2M1sTtJA828AyZ2O2NZU7tVXtQ8nxvKPAf4oLwrE1u9hyaIvAfcFLwUN2O8kdAZvZ2o7DsAmFi6IX1xvJV0mDyT67w7Ku6JvNTzPTwMHLa8bHaPPCgpgTwjjYu8Ebk8O8ouVzw5bII7QPJvvI2jSbz73886s3wqvZMgp7yDAh07XiojPM0Hqbv6DLW8POl6OnfhbLzTipI8P2YuPEd29Dzy5NK8GwesPAnuCb2bDAw8y/EkvAfIhTwwBS48y82Wu6EksLuPZwm905sEvef0ELtr5c+8Z3HNvPFl9TtKK2y81QDqN5JLGr1/xd68qhsQvDctnTz6gt28jkc+vbQPNTxsXXE8+F7ovPZetDsvuYa8kIxKvR52Gj3oYgk8wcIcvBtBDT0ckYw8EWjOPDlVpjtzCvM8jfU0vGI8gr0lSYK8yq6OvGpZDT1ztfy8hNGoPAlbB7wj4E88BvqMvL71Dr2XNqA8eOzfu2YsID1oiNu7okYIvL8JQrxZLn07BlZ0PE8WuLxWrIM7GykqvS41JTyQHB49kgbzO3N3BrwKLCY9LLOXO1IWS7xcdjs9KUc/vWtHqrsfA4+8Kv0iPb/47TsJWQU7/xSCPAdu2jyFGT08sMPzO557rTyB7lQ7jtexO7FRt7sQoS09AgDHPHrp7zxZYOo7oHszPbcwmTs7dA479gOFu/7ONDqTsSW8HE2IOrb6MjvzNEA8ywpbPKTxqTyQRW87RfiFO0mRujsWxYU70g9sOL4N/Tzzwju8DtQGvHveLb2p3wO9aS8AOh2+tjwhB0C9BIY1vEyBOTvNS5q8Rgiou5tVpLz0VQS9boUevAlt4bu8MpI83AKlO6CXYLtcZeC8TXEvu26PHDzbEwM8Xv8Ku/PUCj0dml28P2RfO8XtpLw+sQG9pmtAO7b3IbyLNtk79BSQO1cR3zyIqRu7KlyFvGBP0TzEaYi8qnKSvP8ZijymxA+8mTsKPJgH1jzALSA8JQY6OhocA7xFho48fQWFPH3+XTxj5NI8VwZtuyM5o7yJlHS8dlLzPEJ6DbsKH7a8lUFqPKeQHjynkYG8tKV+PFZsPz1Hy3e8n5uoPNuuWrvfs3q7RfFcPK0pCbzqrcu8XOwyvAmMPjzuEUQ8BtA2PSsiF7zsJQC8VhgKOvWGx7zc8uW7ZUTxu+RwDb31Taa7sdYYvec26Tzjk5o8h5MAvXexJLlnWjE85OUyvIwjJbsNvMk80rvTvGpRDTyF0Nu8AiAsvFdInbs3zhA9tnLsPMKOCjx4HxQ8nOdlPBJN2DrfhBM8sayYPLdo0rzc+Ji8iVJGO5p/SbzYTeW6yejFPIJoxDuqTZM8gFBlPAP68Tp7ZGY8iqPZOaMRgLzjoUW7nVo2OfQtWzuvAKu80T2FPDNVhjybiJW7C7ENPGR1rznGPcA7bSIJPBouSLw4jbc8jdf+vP/vxbzJw8+76aYTPcyIwbu8KqE8iXtMvEbOxLzM+JW6sMAwOmNnUDutZam8sa1vPG4osDxGQkY9t/OdO15PbzysEBm8XmobPepmHj05QKi8YrBlPG8joLxXUSc8bHyvO/BI2LwwN8i8dyNMPM+W/jnaEui7Fe8EvB9c5rx45zS91o3zuvd96jzGvho9gQgtvHmPVDvj/Dm6jqG2O9CBE72Lt4a88pTRvC4YFD2BVWU6PcdFPbvYnzzMIl689z3Cu/WcqzudLKU8wKTFO6PvmzsY3vm7d5d4PAbhwDxLYRM9DQDnPK6S5zpQ7o68/j72vHcIvDxPQSK9bP3pOzEonTzP/AG88acCO0thND2mM2S89PNQu0gVu7z83nE8uwbvvJ6Tq7wnCJe7zlzROkMJmDss5EW9mKyMPJ6Rh7winZ48+kEWvfPtA71CURQ8W9cYPX9PVb2urLW8PhglPI/dUrugKA88aS+ovPsS87wR5s67RB7zvN0o/zshu5u7+o/GO0WmkrzKjjk8DsmHPNVNDDy+g3Q8+MCvOySDRbrt9IG8WQ1qvF5hmD13yam7xm8Fu+WcFT2jrRA8a23JPLiIBz03F6m80isEOZUmyLvNUvc8wFAcO9Jx3brr7Do8YKJdO1bGmzyP6eW8reJIvDTvn7txhei8HinUOyLRWzyxVDs6IOelvMI17Trk+LE75rvtuyrkgbvkp+k88RldPObPXrue1s684QIlPJPC2TppDvE8daVFPdTwoDocxze8JfAXPPinjbykBlC8a0coPJZe1Lw/Qpc88y2JvKGm47p27Zq6CmOXO+MNDjyVAos8l/dsPFTPjTxWG8k8sv7kvGRdrbsmNEw8zV22PADm57t2J4o85J7WPO7uwruqVQu8IGxSvFgSnTxearA8zfb8PJJvo7yOZ8a6DUcJvNx/OzxY0wu8DgE4vTRvoTqnslI8i/mxPMDEQ7swNIg8Qn0uPMzzNLzPVPy7kqjnvC670jweN8a8Qd9NPaPHljxx9Q27DyQzPM68Qjw+y+k8dN8GvL6ykDyWaHw8oMVzu1/RxTuE3B497l3yu5oBKDwzsF28Ra/OO70wA733BUo5y+GIuzLn0DzwC6o8laQOvJBzIrz7BP86hURnPPBaijyMPCg5BmP8uyLfi7w91E08OrKRu88Atjv9NBG8cn2FO+ROnzyR//46PcBSO8Trxrz+NS28rkwKPBhrkTvcPvS7MEmRvIX+0jwqDea8QietPE1gpTusrEM8obEJPOF8pbwmbsO7eBrourbeibyuwem8xLg1vaZAlTz7llO8oUC0vN2vijyrM/m87TcDPX2oFzyPT9q7JQkiPCeG2DssjaK86QnYvIVNI7x/yAk9SaeYO810ULsK9wE8fwhUvGJxJDwo60a8uO/aO2wYNbwQS+w6giFCvP7ofLwfLYM8aQriPO5Tpbt3vYE8DJ69vMVqojzzyaY8hWMuPRSPPTs83SK8mzEcvR/UvLzEN5a8B2uwvBTurrvvLpk8FBkcvM/HFjtjyMg7j8mcPAkrBj1wXgi8fxceO7v/qLygrgC9pzm+O3GZ0Dx4ysS8qc4NPfWGxDzL3hi9fs1APJ5VjDy8LcA8go6PvLzrPLzWbUI8+MUZO3cQJT0jNiw91OQDvQ2lAT28xpy8nVWHvJpdjLyssOI8aUkAvYLpzrvMjIQ8zKQNPLXXCzwCfKg8II6tvI219jy5XsW5QHc2uxt4iDv16qs8EJPou4ZNVjvHqY67MdW+PJU/tLwrRhW93WTUu9pRxrxcHoa79FkXPfziqrux0A089TkmPVVGGrw6DuE78FPTvIUAnDwWemu8d+16PGJdHrtfLVi8DgqivOtumTw2ZCC7f/nEO8L1kzxafrw8OZ7kvLpONDybweq8D3XDO6Pu97vmdT86WriKvFhF3rw3Ysy8wZ9wvP2O8LyuTNg8FxMLvc5B0juUGNI7ALDHOqSbsTnCwX48sV1qPR1CVrxMzwe6wKlgvEk/lzw6RvE4SwIGPFmWpTzYKA08A99xOdh8qzs9Vbi8qfeDvFf6BTwduzu8eMfPvD4gWbywMiQ8JEIYPEzVmro2JIO79rySO0a35TzOPqw85DLJPFTTxLyXQIE8wxuEvKtlmLycWSQ81UcLPWBVX7sSW5C7F/5su9bNETxLoTo9NGLSO6hpibw64cY7Z20kPGc8M73g0Wa8kcTkugZhB70Z5cK8B61RPMOnOLvjmiE9xH8zvKKJ2zvh+DA9gIwUvXAUbjxPNEK83BoXvfWGMTwFchU7gC2Nu/r5VTybZ8+7CUZkPPEmwDy+Ryg90CCmvKx+Mz0wudG8awr3uvdnhrz6QB69NAESO8kGqLxdnHe7a0UEPaaQoTyy4ae8FeUHvKxoQr19SRO99KrSPG5xo7zRk+y8x4xWPU1riTqU2M+7CZwJPEO8HDw8qEC8F6dQPLsE+TsqSKC8Kb1iu6pIKzxaZWu8M1B3PAKsl7yDfy+8yf1YvX59gD30LQ67wjW2vEFLrjvnphw9ugo/vGVzF7tnLIQ8M5xUPCurmbus2v67ARDkvDEKl7ohyay7/cgKPHZqg7z3GNO8C+KOPMZltzweHTy7GaTauvxNgLxUWTY8fFuGPITmvrtOTXu6kneNvDFWcjx/ALY6Z5PFvFW/1TzzsK08qWksPdmvurz0ZQm9xMM6vPzahbzlRBE8tIYMPX++8Lo6whe9OtrYPL3frzy1ZjG7BQ+9u3WFQjs+fZw7NhXKPBW6lzwAHD+8DbdlPJ+OtbtfZGM6ycs/PBm+LjwizD69LmskPCxttbokVV47U9UsPAxfpzy33BA8toyEvFPnRjx1HjI8gCjvPDDBoLybL/g6yLLlPNvinTyhLZK87ecVvFnIy7ypiV28M1EMPJRbM7x0WHo8g26dvNzrHT01n2U7fBcHvFQlFTyE6e06L9L4O0MiQLyUlBW7T0RRvGwKxDxuJRE8vOSXvGrV3DwWqnq8Um7xvG8XyDwUqCQ84eR4O8SiUL2aq4K8OJa7vOBbl7yLjqM8x831uN36a7ysv/u89ahNvDNm/DzxzrS8dKmgu5LASbyhOzW8vP1pPG+8Gb2o1gy8pZkvPMZjMz01oj+8rVJQvC0yAzxf5bs8FmEuvIlLBT0WDAm86QlXvP4a27xqE6K83HwtvKs2q7xiFQK83vQAOycwqDzZUoQ8TdqSPLPlrjyCIjc8ShzQvH/jg7zNd246UMasvJpKFLuvO+W8GOJvOgy9KTvGoYu7Hh9APDWuiLxuzTg8NCVIPKVKCbwA7JA84yIivGJORDviUau5rbi4PM/zYjvMvo08Y/9cPHhH4bzKAdM8xGGKPXoCEb3UpC+84GY1vKkFM7zjFxi9XPG/vAYB8DsCh+e7JTH7PHATnztPUtE8rylKPG7Y17zhhbE7WfXWvDkvpju3ink8SeTWPATYNDx08Tu9J49IvAD1mbs657e8rJfwOy46ujxpdlQ8UeLhu23AoTxQFNy7ugcWPdcADb0ZUVK83bnuvEw1T7y8oY67Nw9PvGiSpzuPXYs8rneBO23ew7s6twK9tqITPV2UEL3mnKY87LKYvOySJbtXYsO6bkoqPa+jBD0iY/C8f8GAvM8drjzWTO47FYMyvHsWazw5mI+8tK2au0RuoTvS42A7mnwmPRWoyrwrJ5o8C1K/PK7oSLsGBEY8mN3WuiOgkTskcQA9SUTJO7cSgLwshcE8UA6xuxOFQrxIBz07j948PenDVjy1P6Y8PjolPK70Dj2Sq0G7DMmLvJHK7DwRIfi7m7O7O7a2Cjx5nmI7hQzOvN6WeTyGP366X3ptu5cikzyuQQs9OE7xO7DjXjyj8Zm8ELrPuybCJz09rdS8DBGhu6mYQryc16C60sqWOnfdJTxGvBu9NpbjO7uP27xhvP482IaDPNoc2DwhbGS8p9LBO+xd6zrcN4E8v9OQPCT7PTtng+Y4noKMvEIevLz9r2y6+hnAOjkhFj36a2c8Axa8ud6BvLyfiJK8JLt+vOofAzuEF3g8bvyMPD73KzsJocw7U03oOtH9gbtTEAE9ZFpqPH6XdLphAY+8C3qCOd9ONzzgFzK9yF/+OunhOzxCNOe8GYv0vNUyrTwp35s8xjnAPHZJtjq/QLk8HhWgPFqMNry1OVS8WUxwPICxoDy+moA8y3GfPG9ZYjzGMaE7OotYvSrcC7yOieE8YrVvvN3WCLo75AE7SRB/vNm4Bj2myi68eZ+su40GfLx07ru8nRSevK2s0Lw3wSo9eO7RvJk3NjvDD9m7k3i7vNhnnDz0Uke95qvBvFVeCr33FVI76W92u8pUpTtKPmO6bPbcPPqbObvHeiy7BP4ROxs/xLzYE0E8ce7iO0iiLLzPj4i8xRdCOx5WNLxKagu9sYK6PBLg1jqLUR69PSIvO0+FJTp0E3M7lvrnO+O1Gjy9ucU7rSkuvPWn0TxtOxs9rpiCvNdqVbxSDuu8E+UFPQb7Eb2ThAC9rYFouqBLhbyzvO87jKgIPV3R2zsedeS88K2XOCr8oTtDGIi6r0okvAJ5hzyL+068y2AjPPM66Tuz78k75yoKPGdb0Dw4BwG9pnMou5+DoLuJhsO8K9sTPKxQNTzMNXy8yOGhuykesDmweEG9bPd8u2ScI707w/G7fut+u5/XADxfAci8Y2MHvCMUSDp8Trg8gt2pu3nqiLvV69G6wMjXPFkqijwzSOs8tQo+u+PGyToSwPg8mZUhOipM+TuCJJE8vyC2PASRAz1fdUo8GFc2OmhfGj1JxLG8v7lBvPffiLxaEVK8MVkZu4Q8xbzbWX27zsvCPHtA7jycn4i865FWO40WeDtHsYU7g05BulR8HTyh7f47Ugy3u7VPobrInrw8cvajvCsgB73i25W8mnxMPLIffDx3Lcw8ChoCPPlbHzujias8OroyvIytSr1G22Y8dd1vvFmmg7xypAO9SsrdPPnXizsg4ai8igdcvIx6YrwSEFs7bLIVPfWujzxaH6s73xotPHS1Ez0tRae7KuIUvNndcztmXfu8y9IEPNLldLq9pem77cmKPB3LBDwNPo08m0hiPAMuLLxNioq8R5ziu+j5+7p9ch69szIxPJr8AT3Hroa8uM5DPEXiGjoNCUg7UjN4vM5msrwOXp87ixUkPIeKwjz+eDw9vEREusIFijsdqNK7bfuUurGLoTzFIZU8NLhLu/+rjTwJCAG8QBQEuwd/RLu9arU8HQJ+uwDjhLwbnx+8yoLwvOEbVb21Vkq8YDoPPAuJML2w5sY8SJNOPGCBLbzgzUi8LZKRvPgRfzxiKHa8FiugvC+ZnDvWY5C7d4UrPaFWAb3hsLM8PC+FvORhqzxNxUs8Cswjvejv0jyRYyS8paVOu6V4mTwWfIk7atRJveyoPjw+pbo7S6wLvXxE2Lr00Ms8XQdKvPWBrzrpQiC8Cr4KPYyn1DySh828e/VWvGJHtLx7tA48KDxvPLQ9QT0BaqA73Qzru0Ga6rctybS8yScGu8NwvrpxGC2855UGugDAszqMoSU8Ux4ZuhyUujw6Ddm8K67SPK7cXLwQk9k7ya+vPIONYzwMFIs8GhAtPUF8GbzcBBw8JkmyPFGh0DyTXP68rKznu1sLjTyqUfI7lwMEPGSdZbvz9h28ymjUPAbJvjxPHZW7y8dePEvXwjtwzK+8xnNvvFh4ijzVDis8xc0BvApxCbxoqqu8Mu2AvEFUqztZ7BS8ZiQwPMo9YTzH80e8tW6EOwUZMjyqwBU70KEyPVFaTrxCcXW87u5juzVSqjrBHB09PFy0PB59LDzqs9U8HcPMu8r5M7pFv6M8ORCGPDj+GTttF+i8Rq1jPE19gry4wuS5HKECPbLl7zxjoey5ZY0SO9onLjy1oLI7eKEMPE5rBrzjFGs8r1AVOXIFdrybZtE7hZyyvEyagzzKNZ67X8+ePMQjF70XkIO8k5SlO1nI2bx4ri+75TY7PAcBMbv/sZS7jpzuO89DDDsd9JO8RuMKvVr1Kr3BvI288leBunx3yztWZtG8dk+cPIEhDb3ygMu7nHJsPABXIbxuPSG8ekYXPVhsBz0ZgAu96S40PKRXJ73H+cy8zRq7PDXAr7oFO3a8+VsVPeAVqLtfID48bbUmO0qzhLyTrEe8GFC5PHMUi7ynO4S61gkZvWNzSjxPBYo9mNepvD8RlTxanjk9uveuvEjDL7sllHG8gAMOPfmHGT3GRaM7CGGZvDBR+rzoU5q86WF0O+nylLz1oUS8PxCROlGNEr2TK808aS17vA0mVL1eIaW8QV9fPAILCDx0Hmu8EWPMvDLIUTxckcC8KX2nux0Hf7tcH+a6TcT+vPFiDzxHJba8BMTsvK/8xbzcMBM8CkopuqrhkLwdIXA8IYIOvGSkgbvwZBi9hlpKO9XuXTznkFu8pN3eu1gRhztGryo8eIcKPT9S0bzRafW832ZROikzv7wthJu88JGmPIZbo7qnPts7YUDrPNZSWLrDFxK9Ag8bvJM05DybsxO7YiygPCinCj3jtqW88kOGPELTyjs0ee68LM0zPJn9+rpXYTe8EwkKvD7b2jtM9so8cP20vPrINrxjf7y8eoqJPIr3NbwCcaK72TaIO9pq17uAhEW8sxLnOx3JpbpB/5u8dpaAuzmJOTz4o+G8BPC5vKXLGDz/bSg8qnZZu4uhTr2pmdi7PdxvPAPJxzxGyfs7gl+yPKK4Mj305Ic8ZqRcO8Is6LuvU6m8MRNQO6ilBj3c0w68lUIOvPYgGbzMyQi9J5khPe4hkDqIBZ68M5SDvEEkiLxZAh68Ekfgu+oOujxlSek7wDUSu3rttzuJpum8slWRPJ5EyTtvEaQ8y4JAvEt0y7xTxOQ8n06cvNezALtmuNK7xZaKPD0rgLxoO1m7vivJvISnrbwcDL67nOGYvO0cbruTmA29G+yQu+5voDyXJmW8xHpBO1c4fDwE7268A33FO6mhaDyAoDw78gDoPFoEDT2P5qE6A7q9PF/j5zxh0Zc7/okuPUZ+CL3JgOG70C2COxaK7ryd2508D3MIPcoXD7wZ2JK7MEc+PHwp6rvJmjW8aLQKvEInn7sqjuW8W43/vBRXQbyLtC08+uTEvPVW7rt8VCm7RWMbuwISs7vD1UO7fTDNvFS8wryx7gK818Ytu6uqRbsKP3s8FQc2O+MAqLx6dBc8zEGDPBS7IjwApFy83oVjvA3xEz0Gf/Q84WNWPIlCortFS5w8lJGavPX7oLx1i/M7B4LNPFPME7vE17i8CKdXPChWE70RouI85LgnO2aRFT0WHJk7Yz+5u7DNAD2ffce8oLvHO7IEJbwQACI6XiISPE+N07yx44o8y/Dluw9cSjy/R5M8rZTQO+XStbzi1EG8M0uHPBYSvrmhPRM97LLnOlTYO7yD5hy8VJ3PPN/u8zxGW+I7/ZqQPDis7Lt7P3g6a6YXPYnBK7wlhN06cwDpPIm6crx/kLe8zFnnO6V+tzwXppe8E52du4Fe9ryyF0S8cm7zvKzSmLuFK7Y80Lu6vAB3ZryKLuS7HJP5vDYtCbyuCs65ASLQvArznzxJ9Iq6wwe1vKoM5jr0F8w7aG3qOzl9irytEcQ7GelnPOYt/zylW1I7fhVivI9cBDwYii+9hQrtu3rs4LyUnN683e4WO723Crz9M2G7hnapPNzhkjw7LKi8rTTyuxXZCDwBwhA7/h+gPD39OzvK0Lo5CpSHvNceMrwIqhC9tb2ZvPK17Dw+TkK8cU9bPIEx4LqjhTM8Q5+CPPEkwzpsTMY7f5KCvLqPYDty0KU759EqPFl6/jvHrWA7uNXLu1j1+zwMPEK80gIiPF+xnzwfXay8gC4JvZzmdLwbh8A8Tr5tvMl8vTuMpoG8qytWu/Shurzeltq86q7KvP1XFT1XnWQ8vBHQvOqozbydB+07IyPYO+QLijxl8ai8Dk0NO8GVnzz1Pq48JikAOoFRDjzbp0C8GRzvvJbG57u03qM8+E+CvG6TmjxxmGc8+v4FOl3YIDuGgZO7DlppuYwNBLwqsv66nh/EPKhRMDtWPfq7gR/pvB0NcTwsCFK8ukUJuyN4f7zMLAS9Dl4xPGO6VrxMfyC9iKADu2DWrTtDI4q8op+OO6FGfzzX4rC8P+AwOh5ieLzpfA+7mWZrPJAMmzpBdtq7RctLPLWShzt5/K+806TIuy5YITul3Aq79tnKPNJiz7xWJDm8DhBKPFbs67yYHcs7NE8VPCeVazyUd7k8dLk+vLqVLbyfGPW8V5H1vE+ww7yIRdU7sT7fvB8sSbzM+Sk9i02tPHOAeTsRtAY9LZ0YPQbGjTyEJ8k8I9QHvW1am7xjGvS5AE8qPeVD5zvtLd67JGWvvJDMZrwc9Sw8MoaovBJWP7xBxJy7iT42vICKRbyuUzO7YwBGvNh0ybv9iRA8lvPYO+KqxzsaDgs9r8CnvABRkbsgzZM7IfESPGVT/jsoOao8vj2lvPtJNr3gBLW7w9SLuwPqWbnpCDi8hzeouecjczzjQB89t+c1vS7bBD0B8iq81g5qPKLdtLxmISy8wfvqO9VzMDxRsSa8iQODPJpA7jwTyYY8U40cPaAkdbz5RQc9Law8PBNX9Dx6fFQ7nilDPC5jRjxP/WM83xSJPD7Vpbzq2Qk8pUHwOzBJiDzjCCU8MyGHPJkiQDyb2iE8i9MyPT6og7uikZ88sGQtPG/AzTxITOs7H89tvCHI1DufvAE6t6RKO5o7BrvD7u67R5O3uwi8kDz3vte8D9nsO+z6XbtPBJS8qK45vNc2MbokKo87P+koO1jLQryk4lY8kkrvvCUwJz1UtRa8XFgoPBwBCDwqmxQ9DwKdPH3iazvmy4+8rsuOu3NyarydVKU5ZY2VvDOR17u7WK08XDYXvHYotjvvDIK8s9SxvD4h0rtCIxe8DQOBu56pjjwX76e6cI/FO147CDx/bFo8ZnxiPHlWg7t5Mis6o52UvD1m/rqsgnE8AarBPJ3hJDzorhS7s+cRPODrbzwlXcE8e+OpO8X4cbzvxiU8osM4uj414juTILm7X/GiPC3RTzzykSa99QiCvNWPPbwXsuW73Xd7u0qC9DvARyk8LLiePMXxlLt5OGo83f/XOi5PHzzPU5C8spO3vAMeAjykrfC78kLlu2DlUTxNHxO8VxSYOy6GVzvAiOQ7zyIpPEJWuLvUZT476fs2vA==
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_multiple_documents.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_multiple_documents.yaml
new file mode 100644
index 00000000..55803e7c
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_multiple_documents.yaml
@@ -0,0 +1,94 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '109'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Doc1 Part A
+ - Doc1 Part B
+ - Doc1 Part C
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: Kt4uuVHpzLyGw5W8lLhUPC9GT7p2dE49f6J6PYxPhzwNCK08D7KmOujzFLyM47U8v9Y9O/4wPby85Jg8RN1TvXQVUzsOXS28wMD0u594eruPH4y8kmqLPNeXPDwTBoe8nbGBvDxHv7s2iLK8Att4vdTtlDvt6FK8zWCLO4VBkr18eXc93w+qu53rnzuvQge8PvJUODws+rtqAbE8gfIoPAY6kzy1GK28GBKjOxeZFDzgFaC8L9SJux2m+TtqIA88pr6MvDt6jLyE1d07pWBrPBlt/LzMFhK8oGzTPNqpPr3I5n48380nuw1+Ur0rP8i87dpOu2iktrvwvYK8UQ3qu/nZ/LtSpDe80a/+PFGaWr2j/Tg8lAqdvMT3zTxt4LU8HONEuiqcmDx6pkU86jMIvf337bsB3Q89ALRyvJ9+0Tx2UaI63DkVvPvNezn7ghU8seP9O/BzczxCnPm7YtdPPGHiB70N21k8cUcCPPZYELtDIrC7GDQCPTEGjzuux+i7XC6bvH2GAb0nsNa8Wl79O+9TpjlECdq7uQjzPOmO47tAPqG8BtW0vLR9ATxKLpG7veNeuy+DyDvkC8k6IP2fvMF3vrwwxQC8T7lXvDkSlrxouTk8PoOAu9Bws7tVMLe6smgnuk5Oszxkk/C7YwF/OlEwsTvaVyQ9fLpBvOg5q7x94uY86Z88PeIc5Dzt9cu8Uetcuy3fP7znVJk7w4RvOhRGObyYnsC8gZ+svPJnrTxjoH28yvVpPCA03jttBo+6f+vcu0q5AL1LOZm7E33rOsXeNrspyoG8i8XhPFCJDTuHWYg8p1l6PCfTujyA9Go8NxS+uaVgtjz9S4U8mUNmPD+ewrwvTU48NFesvAGxgTxVI4E8+otHPDMdKjz97L66ot1qOVPKBr2LYMi674zHN/UGPLvBLoq8p60lvZw2E7uHcw29n0k8O9cXZjrWEsw8AaJ2O3jGxrt04wG7VVu7OnyS77l8WWm8zaFwvOdF1rqZ96s7aBAkPJoqW7w3Mm+8oqRQu+JwSjytp1O82OFDu6uambxEXhM7246Su3pA1jxEkMe4mCYrOg22tDuvdGW8Pu9ivOrhIrvgGp+71rBmvLasSzxXnnm8hzWmO1OQ3zxFoi68AKQlvULQ3TtB1B27oorCvInumLxDVGY8qwqoPPLuITwr7Le8j2eIvJrvOjvOZYC8xMqwPHQ+EzpR9QG7/GE0PDCcSbw/DQM83AeaPDY0bLx7OJW8/5kDuxb5xLtRnIK82XmWu7HZmzvMl4W8fKJ4uqOthbyKxF88Sk3IO/sKUrztHaW7IkocPN9QkbyznWG8qKQYvZn0ZLw1XrW630m3O45QYLx+lBS8rnMKO+RYObzrabU5TNuSPKGFTDxLu2O8TvG3vJrvPbzik4O8RFaIvM17mLsm+oK8qfU3PGRZhjxyUn68t/B9OhjRYjtOrM47amXTOzBTOD2u84y8cjwlOx2b1jzfKzs8v63EPLuV47wLftI6iRaXvC/knTxM1NQ7h+mbPFStoTsV92K7iJ3wu9eeITz5HL082P4AvH2H7Dtg2tK8bfYJvQ5NiTktcg68FkuzOx/Porx9t1K8z8lOu/TtA7zjikE8H9BDu3hLvToFCZ48fkLVOw7wFLu8skI9+AfAPKXXETts4GI8RDFwPEDw07vgzps7QQ4mvWse5LkICiC7NdKLvHRUP7zuOZq8R0RQvZpUGLzyKcW7lbKTuwdA/jsC4Ag9yRatPOj/7DwAkfa7Fwe0vD6UHD0oZRS97OKHvMqe7jsckcC7tBeIOxMaIj0biY080ml3PKEXULzRS3w8njf9PL7447yrqBy9dHHwPNJbkDzOrYY7/e1zvUb/TDq6N+S7s98TvJ2qDbx25tW7KMlivMHorzyyVXC8WyYmPDT6Mjwsuc88cv9LvLYEnru8sIY8hA18PCFanbwfZhk6XeCAvP9Fdj0Q79y7fY+QuwguAzp6qVM8s5PAPGIYQTzmMyo84708vKq7OLuEq4q8Jqy2vJ59OTwlNXk8eAEVPGkeGLyT3wQ9sYSbvFzSBD3tvhY7/O/UPObL3zxVM0E7ycNjPFlHirv+jsg8muE/PHKeA72nfAU8Pjy3O+i43TxBpe48k2lKvOCcp7wNemG8cSeVvKu8jbzW1qE6GjW2vManBb1lheI8iI8iPG0BU7wui2s8aAM7O+iQpzzwPSG85j6rvGkc3zuzRVM8JEXivAvyXTya9lm7iH7furlGGb2cgRc7S6SEvD2U9brP1Yg8FzufPKr7zjx+gJC8VjfQO1ed7LsRpKU87GtpPPsLND0ah4+86VwwvC5Q/Lt9MRq86ucGPDrWCr2cwMM8RnhRvDc4Ijxs8O48eqtEvXvRobyL1u67BizZPPhZRDw9OlG7297KvM57Aby4vv47kCWqvLNTd7uUtxk79L+TO//sLbwmRf68msmXvDo/sb1wDTQ8eowKPSUQe7yYkKG7NQ1LuypvL7x021O80dcaO3sLGD2HHc28ecOvvPvxFb1N/V88E4dTvAZHVDx+ygm81vd6PF6zw7oYgyM9sVICPXZmpTyCRAQ88JqTu2TXgrtZ/gI9Bi6OPLa0I7wkqiC6qEGhO4TsxDve1x47jX6XvLGtBTx8FVm7VD/RPCRbmjyY45a87abFPIh6oTpNVsK76eiVPF3PBbyPfx28sCQ3vYH4bzhAIg49JrivuqQm0jvSe6c8ms76PIIxhLvfMAO8i3kvvSUjnjy+9sG6KkSRu+k7N7yKt0y7Q2XZPDidArx5zLc8wTSqPAn/iryMoLo8+LMDu7ScuDxyDNO8bnE5vMPS3DuImDu7RHECO1h0B7uYRn28l0HJvNENRrwj5Kc7NFk4PNEUsTxMM+08/TXGvLRPtrzifpQ8oSn7vL9VPLx1voC8vE2OPPqwR7z12v+8b6ylO+2hAj2GOZc7QzVpPAVPs7xRLQ07AeslPTMlw7yoqeg84FMVvIbelTx2SJe8MVbpvFao5Tx9Gwg9sutqPGglaLywfBw6Iseauzs9oTt50Ae9UoLcuQm9AzwaWQI87LJwPNWPjrxBnJi8RXkfPPJ+Nz2uxES8ih+PvM+2IjsJATg8XwMOuhB7kTuXaHY8A+1/PMQlcbx1KLA8oFE8PZEPKrxsuqa8xKY0u8Ulwbk5bYm7/YbQO9ism7zuWvE6COCuvIC2I7zKSVG8IaIzPE31ELzz5FO8/1Xquz1EirzXrjs8GGUYPBSfzDtY6Qa8qQKcPMxUXbyNrJO8FckLvO8ToDuF3QA9NFEuvV2aErzD72K8eGN2vBluEjwxxE+8wXoAPMhr77y5jS88X7Opu146Kb13QIS9Q1cevMkybriE6oS63G8rvX3ceDzEcwY9wfZEvEm/tzum4AO9b6FCve8F+Tqm3yU58FzQvEEwhDxpxFY84qbmPEja4LwKqOo8OtrUvGhyEL0lYY68sA9GPGYFNTyC2v67v5vnPPcKLrsvkiY8hlorO5WEmjwpLNk8Bin7vEz09DvsuAE9616tvA5m6bxEay+8RLcTPG6LNjytaLe6QrSmvB4fl7wHirw8peJ4vKDMrLyijee59CQqPMxry7wEuFk9xnpHvZWGSTwMRxw8Mr1uPAyHoDvhI4I8a7etu1Ghizz/m2u8K8rZPKgQGLzWOxo7bwJTOxXVOzzE9LY8DFjSu7rWc7wC1mY8ZCtnPIFRjTmspu48c0GVuz7IMTxNMym8B3CEvP/snLyANOE751Fxu9MfnrwnKJw8ldGQunKJ1DvOrXo7wGTIO7Tn3jyIQVA78Tzcu0OgaLhq2V68oScrOgwxAjs2mYa859hgPGgSOTxKloq7jyOmPMTZZ7zC7gC9TmgwvMRmkLwxadU8I2jbPH8K/Lu48gO8NoEoPZRpMzz6P5M8Ag0HvUyKwzwFE7+7+cKOu3hoMjxufjw8plSsuz3veTw/oDk89+6HPJdY1jzqh9i70mmyu13EhDy25AK81+0Du95cDTzQBK+8l2lYPGhDjjytfMM6laD+vB/Y27wYnmI8ZjYiO1yV2TwuugM8D2cVO/3YxjoDe4m8T0uFu5BsObxwZTy7m68KPYnjJLkF6/S86fqQvJ2r5TwqS9m8D2MjvPyx8TnQXp+7QbQ8PRZenDw3r6u81ELVupev9jw4SF286zyPPFOhyzzAQyw9u/IRvLuLyTvEUIA85DY2vTqCkzqYVKk7kCObvIyNvDySers6NxvDvOpAkTv1IdY7oyq5vCf4djxuTbu8mPl2vT8rjrxwCwe86EvUvJ1G/zyiZWM8BpPPPKaPlzx7yMg8Z+FIPGUbwLsuwWc8vcG5utn+1rzshfq7HTkZvdZ2crygn8a8WFLsPH1zL70pMsQ7gbWDPFQ5ADzq2ws9BSJjvAWoFboXd1G8fvKCPETaqTwFUW27WeSxPMWq37uRb6y8hPuCPK+tszq51pA8FmfMu0kdq7z5tqw7xXNSvIxBtLwl4xa91u5rPO4w8rzBXC49qXgrvO+6tjszkpk8aomnvCLbBzwG3PQ72Je0PDFfxTuMNS09nHg5u0iqAz05zv06dZEwO/iBGbuZlSs6PqrAPOzfZrtNreE80HnsvIQU+byiYNe8Ed0FPOuc6rsYG8i5cFZ2vP8+ILwmzcO8wGAsuQ0SObdl3aM8/tDNvI0FJzxRp8g7x/AMvTHpVDzO/K+7cxnbu0wWCD0vy32759nkPKPGAjxTjCG9N25zPE7sVLt03eo6lFVzvGcLary/2Ww8n7SKPE2+hrwL9907c09Wut4ABbzjOmS8+270vNvWQjwCzY68D8o8O6thyDxPpOu7tc+TO0MJ8zu9zKg8t7AFvdIpH7zWQuw8qRo+Od5cJ72c8Xu8IVLyPAFT9rtErw6989Gau8+Ixbo0D7m8J16Ku2oCQ7zItdI8iA3WuqXQxbzWMIS87nFcPSbLhLys5+W7QmgOvWRSxrzwumM8OSJ7vGixHT1vNH88NrJnu+6/bDxKARE7amUHvWhPZjzi/6M8Y62AvNs0dLwQQ0Y7S4dXOwwFDj2z/zC8XJcevBqHCj0Um7+8UslePHyCJTxdF2y8/SPMOn3Un7w8CIy72kJ5PLEq7rz0AJU7xBrpO64gpjuUON679/kQvNNS6DmKvtK8ruTSPH5cMzlQ5LI8dKbLPJ3BHb0JYe276A0GvCDsjjmgnbo8xDkPvSRzWrzV88a8jsGlOhLdgjysTYI9M5w9Pf7u7DwEney8NI8yPG0QQjzPPBI6LbOVOw4iC73fD6884uiqvBUzhjyEIeK7cmi3PK9jLjzOhvQ8L5YTPVqKuTtnH0E8C+rLvGbTK7tHm+883j1YPCpyMrw6wLY8mfyKPKKmPry+KgE8WaUKPO0dVTwEntU7L0QSPTutk7wd6eK8LN+gvJzuejuCa2m5YK+qvNrlq7xxEoc8mn4vPVNzabw9B1899W/hu/fEYru7Yii8GzKDPJX1qjzObDy9W84YPJnhCLyNuLk6C3QHu5ozCjw9QJ07kJglvXdLdTxdITC6GHENvXu2CL0uPXk6YWeLu8QoCTuQVje8YJvAPK5xQry4uT68I1qXu+GYlrpGZpQ8vKQZvKiDAL3X3c07vjl4PNL0IDysJrC8uLvLPFxYn7zJF4S7AB7mu9B7YjyzaFK6eIc2PSgCDTvGZfi8aziGvJ7NOr0ubQk84ZdsvF7HcLviq3e86esBva6MSzwwzyq9uXwaPaH8R7tGacK7Z4G6O9GYXbxOl4a7Wi7uvFgD1rzX8lW8mA+xvLQ+zbyfZYC8CX82vBKJxrq9v+M8B5EcPb1d0LyAWcm7Gm1BPfMgqzwlD9u8O8JJuv7mIbzwR148chhNuX37krxq/QI8fN/7O+J+57uWIBc7FxjWO7Csert+r048EL9gvMapDrzXojC823r7usBtD7xrtxY904QqvQTEBj1jxqk7VeDru138HrsO3dG7YpkOvXauHr1qyGy8XMmXvHDHpzzTuRI9gPmwu9qnjroMT927TnFVPFbqAzsCms+7y+u7vE62vbzjqHs7dz0dPXZJxryInlK81IvZPPrITzxBjQq8LpxQPFmjlDy3mAU8vGP6vEUzCTt+ZFc8YEFtvNDHwjxyyVQ9H22xu2tQ6jxv8Q08F/8APXVufrwIumY8uoIJvItb5bqM+La7uzkKvJl6ojziMw093VnpuoNVujz9WsE51poQPSHzhrwfvZO8QaxUvPL+Ojx4lCa8mrHGOpBPtLylj8W8JQNVvKYjj7yjYd88MohlPDSVG7xJvIq7i79tPPUa07xl+WK7YscSO2B9ojw89wS9GaKzPFcC87x8jny85F7juyNb2DwjBxM8l/wtOhK+djzVn6s8IUSgvAk5ybwRwBO7aaeTPPR56jvM+yw8DqD0vAbn9rwlO2u8EA+mu1o7lrzARjQ8xRhtvAjGe7yoJGI82FsLvLu83TwX93u72MimPNr5B7voVJg7XzcvvOrXijzGQT67/MFROwPHVjpN6DG8RFoOPNlHIzw1fmS8zh3svNXQErtW/xW7fSGEOwBQB713Hio7TJ8APbnWqjydG1a7yD4jPC/YjrqQZJC6AUgvPRSPVryWd5I864bQvDNW2TpkIIu7aXWgPLzuWLyxa9A62cGUO2gcRjvtd0o9+h3BPKHeB72iTWM8sI3eOx+SBrzBHDS8gG5UvJVJBrzU/eS8y2LevC7P0jr2G209tNtLvWwLgDsLsg89AcxFvQdZEr1qpli8y7xou9VnuDvlDw87HODaPDrYzrtdE2Y8Zo4hvKJB2jwBBjs9gTOTvPbt1TzApLq8qNtlvKSVp7zGx687xdKfuTlfszxxjSK8ObHiuzGW3buV85w73yV/PIRLg7x+4868TaqFPQkEF7ocN9m8cmivPD3Nazs85fK8zo2Hu/9m6jxKA6a7ku2VPKfRaLx0nAo8WdJ3urj8Jrvw/Ie8T8ONPLlNoztU4lE8mywDvEUUujyVEbE7wEQ6vKS4ML1l6VM8bMMdvCQcyTvQRfI8YbtWukwfXrw/AAy9gmcmvQwx4brfkhW8T8X/vGWNpbx+iB69cClmPMoAND2/LhW8ozwKvbNAf7ykPck8YuC1Oqxj9LpFxE48BOC9ub/E7TsQZUY7oPcMvHaxtjwpStg7ObGOPG+45rxA6Ky8Mdl8vL8qy7xxHGE8Jj4LPEDNjTyTxo69fJddPLVpiLwGUIu8rD36PB0MkztaAwC8QXLePI6fb7vY5AQ8PpY6PEYw9jo1dbw7nWjQPFfjBD1VVcC80NYavJev6LyPjsu7L6+IujMGkDz3ZC89hj4Ou2GmFjusr1I8LjLgPI7OlDtE0da8X0eOPATCirzlj/u7XElfO0N+/rzHs7e8NYQGvD6JsDsEBYG89gLwvK2JCT1p5Yk8G1L7vO8EDD390wg8u/P3PH+JNrzNZVi8r2Y8vHMaxTslzOs6dVwXvRPaRD1k6YI8KCaRvEma3DvhsWK6kk8SvPSXMr0VUiA5q7Gkuw+mE722UFE8Ws/rO0pvortzHyq9qIeSvIAdPD2OPpK8nx/Eu/SxSbysCy29RkIoPAm6uLzscBe8dRNFPHgBjz2Cq5a8/tdevLXOtjxS4v48QpaxvJmRvjzCeoe7xUZPvPC77bzgw7E8WnCgu4CyLLxtPae88YgNPbanD7y/aKg8JjfAPAZDfzzO4R27T757uk7qtrtkAx48m2yMvBvYrLxuI8u8dAIGvHz4lTu+k6O7soveu+/xmLzif9I8ia4XPXM3ITuMoQg92FTnulZ6p7xInXC8TUaXO/ZfYru095Q7ujluPU5qC72Nfh88cn0LPdZzibxQTdy863rZvLgUk7x0XgO9eMoBvdXWbTxPefG7/kNAPMPKirweP4o86OKPO2a3B71YoV87iWAkvQt5wbvhmFe7kKewPNDivDx6ySq83PWMu0YJVLyGLuq71o0LPW8/b7qGiwo90Oq/vOlKgbvVCNO8RDpWPRyFc7mMvLO8mlgkO9IZCDzhXNO8bbuDPIuu1bxPHLI7YaHuO4WYwjypDwa9PhImPRSZ4Lxe0TE8I3k/PMl75LvlcTO9AhHaO1mn0TyfGx29eoGKO1ISUjyVhhM8UTCLubgMdjtA6FQ8jx6iu+rZC733Lqe8rin5PAASBLwMLh88N191OzVxmLt4Uzc7J7GHPH/mkLzWXvI8Y+uru5Gex7ywews9S/QyuwdIljvsdRQ9q3urvEcCXLxtmvY8fU4Jvaxj0zvT+Rw9FYuBvFBl3Ty3kgW8Fx6fOrrqtDzGL/U7zC5MvEVy8zx3VOA5FDZwvCKZzDwkeZw84gaIPMmIyLywLaS7smHEvCQSVT1QSKq8CdF0O9WzNbvh/gc9S6PpO0nSJj1E7Di88Hj5Ozc3A73wDIE8TCU6PMyjTTwG3K089RYWPQLDxbxPB4w8e+jsPNq+wDvU6wQ92Hh0u9I5Fr3PLi48qvi8O3rEBTzgEOk7KmUjPf99WzvLXKq8ptEDveginTzI9zi5ASE6OjJxWLy1RIa60hzivElRXjxE7to8YF/vOz7tkLwfYVm8a5OsO/pG5TyC8QS9AB5APDlOXzycUqe8cqMYvOo/rTuXekg7yItAPA06BLyWIG87QWYWPArjAb0d1Iw78EQEPXpo8TwktXo8ELroPM/gFbvg05W8rEfxvGO8SLubQCY9DuGVvOLtrDzXJL28sOdevLLeFz3X6Du7hYRkvMUqFLrzYfC8qTXxO+Y96TsakTc9ssGjPDVka7yBBFi7hqpGvU1Vojz+JmO9wd1LvOXB2jtfGLc6Ih0CPLotnDy+etK63LOcPDTg9TvZhkY8RCkwu5IP4jv8d+871VhevHtQOzybCIS8nZZYPDWJ1rwAm068yqMPPZmIczy3mv06CCXKPHwGWrxCXQu80I7Zu3J+nDrnaUQ8ZLCTO6HolTuQBnk8EriRvDlw7zsfuj48GN7qPGXjObyfUXa8LZmoO6LZ77z00he8dcYKPaVwiLwaMBa9sw9zPBv0crvVkiQ7lHREu4qYtDoha+g8tAnNvFvZHz1uc4a8aMcIPXWE/bqIKpS8Azs5vNizIzzlP5G8W0knvOdC6btA2KC8rpuvPAQRNLzhWS69KAA1vK8d2Lz9bNu8CereO1UxgzyeRgC9/U2vu0ws0zxRbSM7UOC+PIsgtDuns4M81OxlO9HGQrsaV+g8KYoDvRE+Arze/zi7Ju2du+IQ4zw+ThQ7hEaQvJkA1jxqcTI85gi0PGrZCjyYZm286qhXvNuyG7weJm48M6fsOwuJnbwSGOq7lBIYvEiptzscVIy6syQlPMlS+LvxLL47sWSmvG1ncLz4bQW7366pvL6Hj7xp9ss8mC0vPJa1V7xrQIq8i4TUPEtdRjoUq2A9kbLQO3cQOjxALmM8W/e2vPdH2bzaUoi7P+vsvBEGAjp9/2m8cSRQvO21ArzJtaa85+jrO9syhTyhUwO6Or6AO5rTIDuLDIK7eMYnPGxTSTx4kRe8wvtfu/3+wrxULn88gwDovP5kjzxVy/U7+RQtPOB7hjzSCLq8MXGUPF6X4zvoq9i7OsHnPFrIe7yqEBi9C/Y7vAwAyTyz6xK9RbkgPPDOjbw2+ds88o7evL7fADmOJgq91wPCO28KGz1qVbU8NbSFOydBwLsazBQ8qsqvOnoZPD2MSos6ANtEu2v4ezsZfAi8K1bAPPas9LtGUvs81zxiuwbDIDtFl7E7tgKGO6HYp7zEMoG7KDzDvFuajLxCXOw8bL0pvM/rB7ujePe8/ikbuw25KDwlsni9Z48Nvfd6Yjwlh6a7FHeEuue1Ar0jMHU63kVAvfcyhTu2v5o8kxM+vc7AiTwYde28UHDfOouunjsriE88GYxNu1I6EzxBoUo8/Pj+vAHV2DspgfY5dZPuu9N20zx6gLO6+cxNumS4aDvqT+075nkGvX6Wm7x1hCU8vvNVvDgMsDx1M/S75bLtPFq2bbvBgB+8JNehO+BHfbyf+ei8I7YJPNQ0OLwK2ME7pS48PS5BaDwalji81UmDOwGUl7yDzyq7SieWPPDembp14BM6P8t3PAhuFTwAr408jewFPbUBsTtPUeo5MaUPvQzqKzyd+cE8YEeSu3XcyTtD2tG8/F84PBFe9zyojOy68D8hPbcnBL0jRte7RXqKvOePsTwt1PK7CfcjPEyFc7yC+5i8ZNj0vNiDoDxg7IA8YwTxu0ZtoTkFP4U8eUiyNu5B0TwzZGa8+iwyPIpfkLwzOVA74vqmvOQd0jtqS+48i9CEPP7A9jyl6WI8wu4Ou5Ygdbxbmxm8dzNTPNmJxzoBJX68h4QAPRMUR7uzv1O8PGlZPO1uMLqEKhE81OpRPIbwQLxY9Zu8dgqnut+EnTzhi4q8z6Efu7WsxrwM4pu7OEkDvJG3PjyRhVA7VdYsPNugXLyRiw282tAJPCpyCbzfMBe7tSHuvH2ocLwDD4Y5QG6wO+E5xzxwyX260iMXvWi6K7wwW9+8w7xdvKy5AD1Z0ti7H1Y7PM8PHL0hNZi8BmtnO9rXYjwaUc476v8LPTK72LtPsU88cC1RvI4BR7srVNu8QZEnPITpPLwx3CK8I6tRvIzWWLzzJfk7lDgmPdvaXTvF/No8CEL2POgv/7vi9868P/+fvNA0JDx1Qbg8erCkPDau+juL3zg9XgF+PNSHX7qAhsU4KSGZPCGwbD2m/E27poISvW7z7bu/0De88GB1vBs6trzkJ468wEM4vCPEN73d+cA84S8Zuh9/Br20OdY8J3gFPcBjFryuoMA7wTDHvAchEbwCcLQ8yP1AvAUwNLxMaYE8w9MSvfG7kTxUF9+6ICP+vKXQ7bvjUNU61tfgOgaEf7zL0Jw88QX6POw4kzse2le9RM9avGAK0TxIrCa8nx7fOytPBTyzbio8wI8FPd3GjDu4uom8NQ6sPFV2NDs4IJe7+H6SPGDuAr0TqJm5uNMAvM1jFz3XNdW8LNbZu47YCTzy9EW8xDETPB4rkDyLUCS9+vItPViyMLsayTG9gfMePNoFNrxY7BS7IelbvIX0Rblp6me78QEPvDivUDs+gJK8QO5OPNlFtLx2GOA7YzDlO5aDoLt0rMU6DoG8uzaz9jvFtDC8h2+5PGSVDz1U9Rg8Sdz1uwhRDb1BqZw8HJ2dvKqO2ryeWLe7jgX0Oi9tfTwgzUY8myKiPMkxnDy0F0G85y6MPGTBCD1Kplw6vdYsPDaCerxeMYE8G5+ZPEK1yrsQT968H7iiPHvItbsal386u265u8/oa7y3e4K8AoLhPD3MqDt6ris7E6EcvCYLOTx8wrm82lWOO2pvzzy1ZBI9/n92O6smEzzLYbQ8YErtu1PVjzkaItu7hNxVPPMV2LtRimm7yjilvJgQEL2Ldwy8bjG4uxF9Fbt6xR29S8UhPJhotjwetQi8/b5uPFlcjDy4RnC82ftwPKzShbssn408OB2gPEaosDxFlOY8q//FPHAawDzFcXo89GeHO9z9ELz5Vw69U8rJPBuziLysIps8nZRnvLIi7buRqVO89NYjvPJYdLwZLYW7IRPVvNxjHTy8/bS86fv1vOTQLb3eOEI87tPTvNR2g7y+Cq28jVR7uu0/2DxVDr67qKIJvN40cTxVxPC7HZBmO749LrxaPCO88QuqPBDyEr3J96g7z+PnvLh3Eb0D72e7yT5UvDIUOD1xhjs91f3SPDv59Lt3vN08JwFlvJI1qbsNKLq7pHC3POGHFLyzsDu8GwrKu+fp07yVlxQ8KplyPFUC6DyGm6E8TqMIvQ+GszymWzi8WaLSOoDyFjknKWG8tHcCPTL6Ir07CRk9ueTsOvhCXjwlnCo8lSkGvAa9j7mhXHg7TOtzPFgQiDyUcQ49NnNPPJkPgjsf+sa7z3a6PLvkujwLYqo7BlYLPZlN0zpfwok8hWzQPE3r37q4tLQ8dJJIu5HG8bvT/Yw8v0rhvAQhDLv99mo5iFEPvJUI5rwlVZO8vBWOvOPQ9rvubXa8G5ZkPEkP9by8VkS8+EQ+vKc437xvTaC7vjVJvO+kNjy+Y6I8LAzRO2kbMDwYGts8Y/ubvJauQDuoiBY8rdc9u64XHj2576S7azJTPOOmDz0z5cm872G9vL3krrw9Bl07ecSsvGRyhbyAaxe9amvSPLaRHjxFxpq5fFAlOh2zJjz2fFw89UfcuyM2orzlCsI48+0fPIORWLxgct28GbJAvMfVDLyKBhI80bxlPAsUGbtypeM8n4pROo1fwjxqQJI8r0DjvKxMuTwAgCk64/elvGhoAz1XFGc80XSuus/AUTzpT2q8vw4TPH494TvQhY+7Kg3VvCeuxbyK87o8iHG8u7sAkrzpVl67Qb0hvCK5GLscLBA955p5O5DdxTwClfg7rRapPFm8wLysikq8duUJPMQDFDyhQX86qYtivFImxzxfuaM7XUbyuZordTvpVPK8iWEjve6pprnnoM27R5icvPmupzz4PTs88WsQvcZMJjtioJ66u1g8vEe0xrtYUUk8ObXfPNuGpbv5ze27kch7vOKOzbxItTi9KIj8O/gPKbxpLSu80tM6PSLl1TyuZle8yPaOvM4t0Dyq3AO94wFpvKNKw7t9Lzq9oOp6vPGjqrsF2hm8PvgIPKEpdDrJW7G7myxiPDhPIjxk+Rq8BMZsPPA7wbvwXK68DHDnPPgbvrzNWZ279T0FPWYTt7xH/yM9c28zPKk7xTz1ScA8sGJQO8s4JTxA4hE85sInvPTztDzG6Hy5zFqJOyhcJrutTgQ9/L4Yu6/XrrwWuvu69+vJO1eS6TzTSqg8J7qHvHL1Srx3jzm6TzAQPQA87zuUauY8ARByOveIwDyLTtM7SGrHvGL/jDxEwh67MrapvJSq67lIx288Ivc7vJq5cjywKDW8jAyyPEIYujwYd/48l787vJ1qkbiONIy8NF0Xu9R4VztqA5k8cJgivak1HLx1Hzc8O5FrvAvIuzzYyva7Da6cPJ6Jljtf3zM9pkp7vJEPJruyPOU6EDihPIm5QbwsMHm8+2a3PBTUIjyNlTG8jtmFO6rO2TyiDR09eyyhPNcMUruAwHo8NEHZuyerojyblm+829WBPN4O97pgyJ08bWOrO8YlnLx5f+w8UYvHPOUcyTzXZ/M7CjXOPN1fgDzUJkk8pOCOPO/30bylg0a6INmDPDa7uzzX2Yu8PD6cvNnpcbzwTl66LpMpvR/VK7wDPgO9RzmzOrhoBj3074e8Eq7iuxb9kDzTM6g7h1MiPQHJE7xmTEI8KE7Ku8LN2rvcI/Q7VcFvuzh9Mrxm8Ti9EG4DPDmRq7x/L6w8cachPaMFrjxg3Kk8/y1NvUGqy7xmpTw7RgyXvDnLpLwyjAY9ePBZvIyYDzzJx2I8q3/dvO3cQLz12TG86awou57ry7zFYUe8EqzbPA7HlTzjIim8cQLDOjaCPzwshXW7wCr+vMsXKjzA/Za8urkSu2QTyryaqra84fppO28RDLvmKic9pxmzOiCPaTwLmOg73BYrvGYUpbtKCBY8twpfvN/Gf7yoHl081lCPvKmDJrwgdYa8Un4APIaBvrxTejO7AHdgPDQ6zbspoWO8mtO0O8eOn7sQygo8wqExPJrvujzZceM7F6i6vOpgRrtCjHG8HI3hO6EY6Tv8y7k8bFNluhaBDL386eW8/ijMPA==
+ index: 2
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '101'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Doc2 Section X
+ - Doc2 Section Y
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 10
+ total_tokens: 10
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_radius_zero.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_radius_zero.yaml
new file mode 100644
index 00000000..396e53ca
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_radius_zero.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '89'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Simple test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: Nb1zODtf1zsMEbm8tNQlPcgAXjl/nQU9XGJkPYA9YbvPRnw8JRLFuhRpRrwyeyY6F3EFO2IBnbxUdcs8FBU3vXx4o7vyPYO8MZxHPbvYwbsyUli849VoOxHiBz03tEO9MpzfvIjC7LpsoMu85Ni8vDvheT2IEG68Zm1ZvCXagb1Jz0k8AUl/O2pkczvLRmC8X6r5u82rarwWL/A7prcIvf/+L7scaK273JW9PNvZEbsXbYS8AXNcPNTLoTsUGT89JBq0vPkdDLzbuLc73OhsPJt/ELzV5Pq8/oSOvNyOvDxbfN28ZBX3ukOGAb0oNqa8HwamuyH3xTsoZRM7+zvPu6C6tboyN228eieIPKIhoTyPlag8rxi+u8bImDx++ow8QlgePGsuHz1CpY+8S7n7vChZzLv43I88lN4wPP1D7Dw95+A8xRkzPLFiX7xWyWk8D4XKPGfCvLzSwhe7iWfRutEaubysa6M7N/8qPCF3BT2MdbY6kIU6OzFb37mOc6c75fTHu3kDi7znEuI72/CGPMZ2azx31gY801W3PNvVlzvsS4+7lPusvH37CryQ4pI8dimgO0clpLgMKCG8oxm+Ow+ksDwFDJ28KQqdvHJRBL0L0oC8WBEZPXjYxTyfJjw9EUsZvJi68jysrOI7r8WEvJKxELqM0BE8uCX0u+g2I7xQsrC8By84u4i+wrsQ8xG8/+ZqOxDPAbzE4Ry9pOBevPAM1zuPG667LNAPvLVd0jxpr127URSwOoV3KjxhZwA9TnToObOsEL1VcBA8+7EyPaRWLTzMC0A8p5qGPLvpmbxwwia8eI7vOG6DYDzmq+U8m5U7vKNjTTzvHpo7XNAjOxNQALx+hhk8XMNJvXyKbztJ8Os75L8ovBQ8OjuOVg08OAQWuYM3EzylsQ680IKJvMSuljwuptq7mSiKvPUo6bua5wm9GTiBPECn8bv2D4I8OTogvHTvhjxzbJM7hmygvKORuzyw+ZY7kKv3u1/hiTsEw3s7hHQiPJGqXDw6e6Y83x2Ku3QVfjzyI5i8o83wvHwBEDl4/QS8yqYTPSrdrDx1/ng7/vY8u/gaPz207t47D/mXuygNZLunxCs70xjou+ebdzyV8g+98PtmPIp3bDygQVu8QgXBPEs3Hzshz5W7iP/OvJWKW7vrRAw8rUKMO1Yv7zsBaQE8cqwmvEetSjz2tfG8gG+1PIXHZ7wRAuy7K4AcPPwHj7u4yqI7wZMNPQmX0rvCnNa8P3EzPDti2Lu60cM88qYNPKGjE7xDONO7ylB9O/rslLxcqVA8BsmJO4PuUTyKMfe7rjvSPKoBo7tHwUu8F/QCvQi3NLztEri7hwDFO4fj2boFuGs8Bp/5u89gpTvTkoA8qisXuwEwtbs2Igu7VSFfPDaVWbxJe/k5nIVgu12GrbwxC6s8KZlIvLfUpLxH0Iq8BlJNPRB8w7tTmkq7zvzvO4pD6ryS8sy8NrGCu9beFjxZKYU8bzUfPa85ybx123Q8/zbHvAVUjrqbDQa8KaRMOxLqVDx0kjE8tuErvFj+FDsFb2I8tb0LvRqs6Dx6ZRi77YqkuzXKBz1k5+U8jQMpPOBVOzomrTO7PtWevHyLh7xcNEu8Ov3WPP2Qqjt1Cw49Q9cuvBWbcjw6mtE89O/pvEE7azul14m8m1nUulOBlLu/qoC82S7TvGfnL7yoXZi7Wc0+vVua5rzAQgm8et5wvKn5nbyIOzC8zNj0vG9cyjvyh9c8MDgxPOhfKrp/zBw8cMwzO/wZ6jwhClC8Nul4vKC3BLy9yLa8CnMyPOeOAz2H3qc8LGwbubJWlby+Euu8uxgmPIMCS7uy59i8WM2OvD7FzzyYTwu849/jvHdtfrwrFAK9BGRTvOql5bxB54a7S6zQvE9c+Twg//S8GR8qPDg5+jzVMdU6FxJCuyQ2JzyEE+U5k5YAPamcBL31lgy86B9rvOHYKz2rp8K8suMjvdCJszvefa08fJWyO1OByjzeS/m6KIj3vOi3hDyvbLE6KDl/Ow/IsjyHZpY80HsMvLvqbDvY+0o8iOLBvNsqlDy9ope87t4wvUsYKD0oxIo8ZbdRvAgPHjuAmck8y+5PuGhpWTzhQZw8B9dLPFzOijxH1zE90ntmulPjmjxRlIc7dhHAvDxaIj3lvKK82PLoOwAmFztV7+c8HTD+PHxfA7y26lI8MDryPOXxRzxbJw295NgePNsD2TucHm88Dlu3OuDLury/DIe80SPPu1eiArwocKK8/I/cvKNXHryZQcg7zc+rOYk6kjxkTPq84VaKPHr2ljpivLw8sDmgu6TVHD0fSZK8GwEZPebBzjtnpa27fdBGvJ9J1rwOTrI7oyrQvIsNcrzUtwA9zZZ6vOL4BzxrTNM8dyTkPOdQAbwi2bQ8sgi3vKJN7Lx6Zk+8xtfLOwY8tLuMFdC4DkO7Owhm/7xh8qu8Pj4yvEjB8Lw4WBA8G0jUOjrhc7y9juM6Tz4evUQrWrxX5la8EczjO0Y5GT0Xelq8fW8AvPxfhLzqj7s7zYmuvOWhsTzpE608hKqIPDBfEzzAMJ08MMpHPfwFULwjTvY8ov7MPIJhnzvu+Ss9/QPxPMH6LzwnWdg8V0DTvHALFDxK8F+7rSOKPLABsruvXuu7vEP1u4QxPjwPaTK7UU9cuyKgcjyFWwW8R7EPPI7w9Lw32pw7ZpS4vGSDIb0l9uY89/9nvCarlrylhxI8zQXVPM5ZcrskDri8qrrrvGgAxjs8q5+8pcqRvPKnpLzh4Zm863oxvZRN0LwWqac8NEwUPYGvabvpZhK9zdiYPJssVTyEw4G764gcvSZ1pDxgrAg7bmOvO052ST1XLAM8Kl5nvSzAxbydiMM7eKkbPb1XQTxK/Xa8VfdtvEPktjuKJbA8ZF0zvQE2l7sEFiK9qVtCvJGvHz3CEKk6a94sPVKnk7s7D9y6SBjvPH+6hbwWkR08ZgUVPdOagrwCN6q8OgfsOzg7+7njUnw81fkTvHZHhDzLM/w8kHATPXpsuLzRLp28sc9kO5rbWbxSth47dQjSO/Py4Ty0V5s7z5EKPbkQmDxwHuq8LDcAPG/2E70cA7K8xpkbvLdlJbxnU8U8vp+dvKLin7vnIg68yDnVPEd4J7w0iqi8ZuEdPL14jzuwbqO7n9+VO+E82zsz+yy8/Zp5PP8MBrzTkbu8MBZGvdYYorzBpN47QuMku9PHPLyrnP68DPE4Pdss7LsA2pw7rQQMPTwCVjsV1du8B9Xwu8EhaTsS2Yo8rEmIvBFHoTuIshC7Hcmku+carzsLpKy8xGx2vKLHsrw24+467wFePM0D9byAoPG7F3Ovu9kwTL1TcgK9IydtvPpY+zshrMW6YO21PPfjBD3ZWQ09QSmWvJvJADznQsY7nF5ivVadEz0pbCI9grYZvUNmejtsD5c84dmyPJKNyjytAf48z60EPGzkab1iijO8jFHSO3Go7jzO2a68P9SPPD/1YTcAy4g692+CPDxRI70wW049UJiEvPei7TxkqKi6LT9zvM7ij7uDkdY8lzAGuw/ZuTy5fJM756FNvZFjDbvCJL88udEWPcUMQTvcxAI9HFmJu3OVvDyT2hc9ACYLvU473jvbWsi7JtdqvCx3SzyLzBw9O0Y+PHa7lbobe7q8RAZNPd2w3rrImUK8urLTPJXO7jweNc08wJ7Qu5MCrjzY4Ug99qL+PCbz5zujhPU7goEZvCoEETxOwPS8MsZFujzlibtWKBk8okgsPW6MPjxL8pW6XBsMvFXhhLyeaB27ET6mvHFhBD1UUHQ8OGRUO+B+mLzqIcm8m82KPAWfrLwf6uc7dXRBug4pBr32uDk7AYubOTP9Lz1qdIi8W62lPDG+rrxjhQQ8jYb0PIogiDyxOgQ7mb5VPfpFKbxr/4G8F1qEvNT/Fz0RZGC8v99oPLmGyryQauy7aoSXvN/HETsLopG8fVxDPCS/7zxqG7A81npuvB5vgzvR8188zKyGvNsE/TyqXj28QtVdu6PAIj0jzFk7qlNuPHk607vEmwQ9xPrbPOYW4DzL3Jc6bfKCPC8bMzzN4ZU79fW2PBS0srsGIzu8FOq6O+hGFT1HOla7x2sPvMnj1bqamue7CB4bPFhJoDxxf1c7lj7GPGOng7vThLG8eLKquxcOOTxV4Wq6v+twvODF7LyJvJE8C1vkO7vnyLzGTAk8MHzovO7IMrxMhoG7TJhZvFuPwzsYx2y76rxNPELVUTw3qck8ZgxAPAMrRDwdDcq8ku0dvXbZLL0cuSQ7jDwSPIgas7zTjiI9sB1APJSO4DyqAYc8PPVpuxdfFzxWu1Q6DbnBPFVgB72zSZ+8Xf63PCNdX7zoAde86vhqPOR8ZLtWxZY7B8hFOwA9pzzU4mU8PxYqvKnhyrswC7U7YkX7u08aGjwJQrk7DLckvGD6ETpkn4Q7vugaPZotkbo7Uqk7P5/CvPF76DrQVg08GyOpvEjoCLrQZZG8kXJTOh0RibzBDPk8LMWjOqGbrrxkZWw8GhgivA0wozzBM228EKB2vHeQhjwRhz88SX6fPA4MGLz9IIO8rYCNPDJkGDyxLQU8AcY0PLRaGrwSvu06U3qzvCQ5hry67NE71DxzvH9RFL2P9RK8Xe1jPO8sBD0O9yG94y2yuLCYujwaLDQ8+0igO55WRDw+sUu7gYMzvDBSpbwaYOy8L9hfu1mphjy4v5o8uG8EPflKrDxybNY7u01OvDpO0LwDx+48jisEPddeJTtRABa8iAAaPZhohjpaquo7r60xPBb4Gbv4m/68NzdzvdzPOz1nNXG8LMTtPNYhvzxK1pm7WyvtOoy1eDu0fxM86ndWvX8QXDySOeu7hI+mu+yuq7sRYG68X0KhPGy9LTxrkOK8RZcrvBuQbbyAlTw8K7VSvUL2iLwKdnY8g1jxOm+XirxBcgk8VR0pPE+vgjz/jOy8/psDPEgPo7yKstK6liK+vMhQobxT9h693U2jOxBqBr3WTSs84jswu3JpIz0eY4M8VlpRvH/Kpbx9AVC8REZ2PHR1mzwf28u8tiD3O3t/Iz35Bxq80+GOPCIUQzzTtaO5MpWVvDL3LLw3DJu8W0pKvDvdAL3BdSA7iVz2O1QYVjxHhp67PRsbvOXa4ru2gai7oD/+uwPdezynph67XtTNu1+VmTtn3Yg86UX7OdGZabxJbeq7HplmvNJmgzx0ClC8KgatPGCROjvGSaw8sKc5PaNtLTzcgno6JjXPu/Svv7wFrQC8TxddPFoFa7xprsS78ol1vOcBKbxx2yQ7RfGOvGNa67vizB88pvwSPLozIrp9lYQ8ao1BO+R7GDwbSzE8p+1PPG30a7xeFEI8gqLIOy00nry52ay88gGIvQE9yTyxIC08obnPPND8ODyqm+o7R7DgvDII8rtidoi8O4H7u3dIOjrUF5U7rj7RO+DWKzzMDhm8htEGvdSNa7w2B8i3xrahvNBtnLyvSSK8aVzvPFyFVzxHvLQ73BfdPLWfujsQakm81naouw972Dut5gQ7dkyYvN9LXrztZTE9OwHXvOwduLqKK2E8t6p4PLV6Q7z3gx+5kj2Ht4ky17rh58o8BPJiOj3kpbp2QwY86QEBPUk+jzy9hqQ8WSPSPNFEqbxq2wI8xhCVuzWjAL0bGB66LtB0PBK0Lzzp3aG8MdUCvALHCro57gM8J45ZvP+JjDzeeVY7l2+oOzzi7zt2yfU7OgSJOlUWhTysQiI7aRDhPJrKvrq4SiK60rfyu/Fg0rzTfIQ8mlbnvCEQEj2jJXy8cBOFvL2yrjx8D6i8V9A9PNS5R7wjWVa8YYGDPIqnbrxaIQG9i9KyvIcp17s5jB892iqOO0J78rwpl0u8DRENPQqotjvLaI67H+vFu7if5zsp4TM7pqXWvIw1XrwJmeo8ExniPDqdorsl4Qw96BGavFx/LDtX8Li8SaBGO+bTjjwRpa28bgONPLYWPTx+IAQ7HszwvOvq+7tl89y7vvBgPO9xnroSaqa7hcbxPL+aezz3KL28ouZ9vK4QITtpoJu8+YjgPEcp1zzSGZU8D+QBPafb5Tx2oQW98A0UvAS90zy2uSK8KLbxu/E3WjyLvLG83sYfvHNymzzG5yI9UhWNvDHdajzi8qm7BlDju8SOIbyL5R49uuqMvD30zjvNj3M8MIWkO4lJKz2yRCA9wmTVuo0fgTwKvb+7rkZiOxaexjztleG8wwELPLEPqjznGse6RD2sO48eTruZtZi7B9jFuu0k8LzazIs8peHbvGGh5jtT4pi8/8cEPUaZPTpzYfg7coBsvN2M0bxVEqS7qwB5OncClbxK5Gi8JHzLPN0pVjzpe0i8n8zyu+oE77uVhEs93L8wOzJEODwhUbq6kj1WPPJpCL3rWhM8EJGCvPhNDr0jfhe9X7QMvLf7Vr2T0xI8YsuQPB2Rs7u4jOQ816THO12MCjvaFIs80LjmPIfJdrzCvZO89TyKvJVE0jxd47K8H9NhvE6o0ruLDy+90HhxPC7wxDyGCaG8xu55PK1eVDw6bKm8OgHXvNMUPjwVknG8kP8TPSVSkjy8LR08bk8CvImyCT13siU9wKLvPFNQ6LweFtA8ZUfKvH7AxrzMtNM82rplvDYDgTzRuj47gfYQPDopqjtXbkI9SyWsPNUDN71XSie7U9JUPOcwNTzKlqO8B8/wvMcvBrynMIk7bZmMvIBh1jyaXbk4IRgbvbVDzrl2WGA7HeOmu6UfDzyjdJe7DK4mvBzPp7wCVju8CHD7PN2bmbs0UsQ8773ruyYj2TyKn5y7nNwPPNdaIbtMlx+9L7DBu/8tGLw/68m7bjxDvKTbgbyqLi874Tj2PHfMuzwhRhI9IoCoPHeoELyPBS29V32WNza5f7yosrG8Z1OHOzcJ4Dwt1ra8ztOsO0W3IjzSZCm9RaGzuxMH57svHL+7+K3fux5CfDy7BO471YiEPJuR2jrTOwI8mEKhOjLElDxyvWC7hJKZvE/H0Lr/hFG7EvsAPXzQf7tvTCI8kB0EPfgCLjwUlrK8YLnivKoLcrqIpEi8RCYrvF6jTb2vo4K8rMufuymiBbx9xxs8ikuJPH1IxLwOygA9c+6Iu7qj47x2T1081KYePeXMcztWMmu8FKc6vQ83WjwDTq47MFmMPAxvoLy8AzS8GQLDu7PhoLw8B5w8ps3LPA0sXjzrGkW9uECkPE+ZYjw9kF+9jehMu1r/Brhyx/88GoZYvKCMGjzhQpA8vUQAu8In7DucEUw8Ye2RPD2KCz1nQGY83rmTux+MIjwELx0840kZPUsZXz0vUF+8EeKavDIdcjzyI4g6lL9uPDor8bsuhA+8iyM0PU3qPjxhYuu831IDPahXI7q+e/m89eqtPM2UabzSde67r3Y8vCropDxqrr48ho74vCCXpDuD3ke8XbkHvB+FVDzZAdc7jCefvEhPBTwYVUA8cgl+vILayjxr1Iu8wpvDu33EuTzrYpY8SPh/PMR3C71SYFE8HqosvDKlHr01or47+X22vFctdbwNQa28Sb3POyqDZT1daoy86mQGvVzgyLzIDp07uyhTO99DIjvS61+8zxORvIBJ+jyEYGK8Zuw8vI3AmryHGgi8yxfFvCkbUD06fhU778AwPC9YD72v35e7wh9ku2unkbxFuze8szVnPG2XFzwpHF87+AbQu8H7CT1gKZg8kB5UO7WlpTnrNqW8UKCtvAwDETz7r6q8yN0IOUNQOL1pJ9a6mavsu88zTb3lGvA8e+/1vOu3xbs6w388AlqrPDfLc7zdOR87bXGFOxv2kjyOVmY6jt2YO4HoBryAGvQ8GKcGPYvRjDpLvh06ITwpO0+RAjv6eXi8h51AvR35GDxgsjk8vK3kOirN9jzRSRU7ycZnPHz45bwxx+K6fpz4uwSDcjyjbP07zRiMPJJuDrzyBwC9HvngO/H7Rryq4bS896PMO4sgd7xvW0A7XANju3oh7Twr+Ri9bqt2PQBoFbzJ2sq8FJVfvAuOirwPVC28UyTnuPbGoby13pg85Ckpu2EyNzz2jS6924hrO0onnbvQK6G8Pabfuzq8tTwRe4I7tnM7PNt4kTzevDG8OjSAvAb4uDu+kFg79mTAvJTwFzx/VNM8PqjHO4xbN7s91mU8RoUhPJLttbxG2EG8HpggPG1ikjyVUHs7OrUdPOFV17wsl/M8fYdUvKFoFrxfZGM8lTcZOy5CnLxIUis8ULW3O9WZL7uBMQ08y0Xnu1mXVTsg6hU9qx3NuuQRLDzupe08oQwZvRIGKrt1wgK9Q1HNvB/K6bk8D2g8gaGkvNtVijvwvBY9RnA9PLSa0TvdtRa83udrvBFFZT2pobO8ge8HOgonCLwiQ2m83REpPMG4SDqXCKK85pXpu7Cit7y0z848zAvdPOeFZTzSt6a7RGBAvVFc6TuyME48iqkqugbWgDxpaZq7oXKfvBjWvLvgFci85bY1vLwqijrUVNE80Kn0O9Fi4LsKlSq76oj0Or04ojyi3/08l39LPBHutbzP5ra7sKs3Oyguqzl1ehM9CRsVPAWPabwY9Gq8qdV1OmNr1zyCoRe9ypgou/rAEbyCwoK8qnWUvJjNhLxkY6A8Jc4IPDEswrzH9K68uk7QO1GEczyEjwO9qPyjPHjOZLt8DJM8HRnFPEEsvTudelC8rwlYvfwmHDx0l+Y8EpMqvG0lVrvXqkC8AB93vKB7Bz1zLdG70ZZhPJPhwjtHKiy9zKwpvOH5y7yVGw49TbuevMy/CTy8sIo7+IrNuypotTvlgPW78PnKOyZCirsbj9c72RRZvLwjQjzudK48r/MFPVBHSLvOAMw7lKgyPBNddjuO7su7jnBLPKqRyTyzndu5GpWsPOOPtbswwhW9ByxNPEG1mLzV+CS9zuYiPAZnIzsELms7t1QCPPzyhzwJ/we7W42pvPEfGz2qo988ovQ1vGHRNrxQ9Ie8/hOyPBZbBbwEpDi8y/65O584P7ye6oi8Hp3PPDHGOLwgVkG9AynLvNqsyrshu0C8pmeGO1XR7Twfd2I8oFx2PJ963TyqYWO6fYGZPGNHUTyd6MO7E0UIvXQKA7sOcAa9n3m4PBABR7yrw7k7kDQSPLKpwbukpkO9m3dGvOdAzbtbRxA8QsJGPGb1sbzXyfy72abPvPOJ3jlb0ME6pQ1XvDLd7bq1t+Y8g9W3vPTiYDwuHWw92Ln3vMybvLw70487yT7IOfOe4TzOOCs98HtJPPL7fTzn78e8v7/NumN+vTz1t8q8UamkO6Tgi7yo/BO87neDPHa9qLxQwjo873qgu6JpeDwtvyQ8Irizu/XlW7x+0a+7C7sOuRtreDzTZDW8EC0pvDhTlrxud1C8HNrivF2yrDxUZIc8rBUPPZbvibth5Yk6OFCFu/Suuru185E8m731vIm1g7xLBNI7V9cnOjVyirxYCY+8EuejPO3T87v3Pyc8g08luzxEAT0L5EC8jeMfPXaWDznn1QA9zW8SvE0MEj2zz8S8/DC6uvr+l7vRYX28QZuLOysb8zuKBjS7Gms3vJIuPL2Pbt488dUyu0utmDtGIEe72Cnju8h4YrybG968pgvYOxzCsTxub6C8eU+Su9lM+rxJ7rC6mEiMvN8Xw7yAEDI768ZWvGB8Sj2VA0w9SXwCvQXRXbmf+cM8s/uvO1dMVjy5hpI81cZHu0gnCjwM7AA9lqHaPGpajrw5X8s8S9oNvH5z4zx2sFO6t3ndvORNtrzaMA+73P+GvMlZgLzpVIs87I+WPKiNs7sG/oU7msJqO9RvvjzJ6yC9ZD5wvDd6wDwpWxO9S2leuyRrTL2EbZQ8dLASvRpVXLsP37O65cYFvQPOaLgQmKe7Bm9ZPNItrDrQY/s8ybkpvHJ+fTwEDuI75bnKvDBKAr1t4YI759fbO09IKrvsEO485VPYOwqEVLzQ0HS7uLSKvCKToLxoWa27jn/ru0UH2DzK8Dg8l1oXvb1gRzzCS+A6mWGsvB64qjt7SaW8v5IFvGDi3DxnSQO820orPA6yADyDWZC74aPavAoLv7u0oUo8wNBKPIlSkTzrydg8nCT5O9r4B7umvy47JuLaPIhFwzyyJKK8PwfEvGZqVjwRfK68jgoEOwhEUrvzKQ47b2b7OwFevjzPihe8v+N3PDihVrzR7w+9LEPCvGsVYrzvx1s768i6PPrzKbst5ec6ow0Rvbmdx7u1PQs9iOR/O5xnbDsiHGO8k3PcO0xDPDxE1lo7nk3vPMeKAzuGMFQ8GdoIvJ8pkTyTKkM8PUmLuyY3jjyxcQk96NaXu2JQtDsw58w8FWyDPMrFgjyFMCU8CdQBvEd3XLst1Ym8KbHouoZkrzy5kG282LW1vDUGPrxKck08vP4vPbAlAb039bi77GiZu7SbBb2QnJQ7OjsOvPrdkDup0aA7i2vNvIj6Yry08+q7ox4RvKM2gjs/1bA88xXRvDMzZ7w+O+G8YE8bPJA2WDxrnGS7x2MhvWuEWLzsJBC8jFJcu2pAhTwuaR690SoSPJ4BWryqb466ggboPJeb0rpI7XS7gWE8PfDzTzyfqm68GSS5vNZnobwpG3C98fUbPSU4VLykWrG8Z/9JPDkQOzwPF8m6+csaO0dlGbyYtQK9xw16PH47v7y49c+8TW6oO4f8CT2myEY8wJ71vHjXPTxujlE8c5P3PBpfxjyUTqk6lG8vuwYZATya86k8XBJPPD+gdTt0mpC84OKvOkeVGr1tNJe81/wKvXdUG732EDM8Jte0u5Q1XrxYs/w6vjEGvNsGbbwzRKq8eb6Fu5dtFTsMpQa7okpMNld+JLuDGTu84FOsvGUe7Dx0t5w7NaO3vDnk/7qid4O7YevhunZUZ7t+b/M8D4EgPBe+lLzWNjG9ok31O9x48jt/fGq8Ew3Cu+9FODwh98C8r6YxOgp41TuzC7+80Zw9vB8Y17zm4KO8spUwPZ+Ck7y7MF68KOo3PN8c4TySEDK9Ch6ovM6P9zzV+ye8yAh0vNNv6DutwM6859B8PN6CUjzb7KK7HGC8vMBBS7vHgA08C2WtvEXYDDx7EUS70y+ZORZzPjsnt/+7BOjJPJt38jyzeTE8o380vM/TCr03n7q86zu6O2gksrxPXli89t+QO4uTWbx5wN68Gf4XvS652jxJC0i8aUStuysS6rynP9O7C5ohPLQ7ujzjZig8S0Jou2/V1jxoKAE6GcCzPMgYdbzax2I8vDvBvGz8FjxShR47hwbCPKR2Wby/lFq8LdZvPTTQpjr13K488WQFPH2j6by/Ba48zAi/PPH9DD2K5io7giPUvHzqVTt2S/C8oB3fOgb3Kj3Dwc28P5SIvBAbC7wq0iE89g+VPOzXVDxEURW8p+HEO7NuvryKNCG8uGxPvDh4KTzOTAY8k4whvJzqnDxQV/y7nFTQuYmrhTqDtbw8sIhdvJ/nljnIbmU7O8SYvBqI3DsWWXs8AwyFPA94PDy0KOQ7svXqO1wOsDwOFRE6U9iKPAFM8Lx5j0y8h7luvMUwzrx9fJc8ns8NPX7a1bvP23k57VyKPP81oDwyj0G7MFA0vNfexDum1gm9f8jHvExNd7xwmMG8tUwKPMyevTutah08SvBWO0Y/GrxlWbY8qUx8vFnGOLuFkxS8wVsXO3nulryVPC+8a4ehO9ej+LpdCtu8Sx08u4UABL3ZHgk8f8mTOtDCXj3pr8k8J6d4vKf0yLw9DTA9RVBGvLJEED34X6s8OnArPb9gOLw0p/a8lrknvHWnurwOKx096lYCvYbSvzxqTDM8lFE+uzYLDj0eaSm9yqp/vKRsoLvU6Ne7vmemvC3FSL1Ajf08twdePEQcUD01xK48sEetvDRObzw6rBg8FOKnPMptUrw4IE88S+2nOyJVcjx22dK7qRNwOj1IUT3QGew8MBYnPYR1zryKzaw8m3klvBiyhrxLjQA95wMLPQbt4ry+drY6Ph9LPBqx/DzROiU8TVZlPEobMb2yHS870+dlu60gx7smpJQ7th63vK+2q7y4mxI9GGH9vGwVu7xukpc8GqjvPJtpQbzSpmk83DaevFd5szwM9go9DZjSvLOA0Dr3lbO7p3+vPGA3Cz3c6Yy64bSnPCHqMDypKh+8K/P1u/GOEr1XroS7B6WZu4GPg7uG4IQ8e7LxO+97KT0mNSK76hQDPL/SZbxfZLm89kZHPCC3sDv5Hys8vielu9YQobzUBXO9lRxJvER9OTunpSQ70HOKO5G4zLzW1fI8jTUtPCCKoDh/2Ac8XFqLvIIhfTxhwoM8zdGzvGoUGrqZhJA8uIBbvCmZijtvrqg8LGOlPIvEJT2OSQq9IctPO2fmCL15Nqc8aoeQOyu4hDwEWwe7KcdGuw5t97zc7y47fGx4vJ8PsTyTf/w7Cq4UvUdVBTwvq4o8Y+6dPFZcnzwmuaW8mJipvL3zKru1wKC71mwUu7Ts47vffeO8IZSUvGlUyLtdygi9uDC9u0dz1DznzM67gST1u2NWFzxT1kA8gjX2u8MZhbtHL1w6Fq2TPKP3fDufY4y5eZkKOo+/FL2d7Pi8L523O+CLUDz7V8u8LGVBPJsggLuY2Re82AjNuzSsNzyFLPM8RQusvBNnxDwz6y08y4vEOxZOBT28KSm839juPLQUsTn47OE84SavPJ2ulLyWESS8dServMIGkjvK71M7Hd96PNORw7skm0+60+q8PIhFHrsBf5I8F72APCgotzyrFBO8o5uYO49Ie7xovQW9Qe4Mver1hTwijyq8QyoTvQDvKrs7bt88pE1JvEyeaDze4rY6hsjfPDZUKjvtfC889qMePRgTkzrrL068JHLsO8Wp3btjMHU8vhTsujgiprwrymS8kuQZvQALMLwmhKK70LjevCChyjy/JLC7mxzuvFqMhLuw/r+7MDEyO/YawTwjM5E8iQTtvHISozovzae8lpiHO9Wms7xDl/E8ClbVusNEE73AFT+8p8/dvLQM4DxPJtq8Ulgcu+SRCbwlcRm7lBlrvECbIr1A/EO88hUEPWiuh7yg8wm844TZuekNB7pI2uu8yQMEvSaLjDzauSw8lTVEO+/eh7xbPxE86FZ0vJCrIT1BMk+8YOe5PKgSULzDq5M8kxHJu/jZCL1UBVo8c1xoPJLOKj3ZoWU8loTDvLBsubtAywk75yyhPBSgkTwlxQK5pxrCvL4zxTwEAv87LQgnPE8PdrtGxWs83yUHOxAzr7wXnqa8tCQDvBY08jqvN965DMkkO6HsgzzElb684IN2PLEqgbr8Am474732uxrbcbwjz3o7SC+ovPp1fLVtEoO8B+6HPMJxRDyVshg9NFzLPGfuJruyvIm8r2pYPB9etDzFaOa7EF00PIIoiDq7D2w8SQEKvKTTuDgyPoq7G6YLve+FwDyRuLM8YgX7u/Z5TLyjDfc7ZpivPIMWk7yfaay8iquCvAoMj7soyYe8VfWTO6IfLzykjEm8eJ02O8p2dDw1QIE8fKsuu3mgATx/Ye47Eyq5u7fk1zs7HR67y3yEOsfxBD13QNy8nyxGvJZggzv8PVm99dbJPIiM+zsdNx68KPAcvXtsAryfTQA8dHrPPFNVELthK3g8zAtXPBKE1bskxoe88EgHvYN17bt2noS82rKivAivMr05w767nzISO6Q05zsLX9G78iyMvMtnW70P6JM7x8gbvA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expand_context_with_docling_merges_overlapping.yaml b/tests/cassettes/test_context_enhancement/test_expand_context_with_docling_merges_overlapping.yaml
new file mode 100644
index 00000000..9b560519
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expand_context_with_docling_merges_overlapping.yaml
@@ -0,0 +1,52 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '256'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Chapter 1
+ This is paragraph one about topic A.
+ This is paragraph two about topic A continued.
+ This is paragraph three about topic B.
+ - |-
+ Chapter 2
+ This is paragraph four about topic C.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 43
+ total_tokens: 43
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_expansion_preserves_metadata.yaml b/tests/cassettes/test_context_enhancement/test_expansion_preserves_metadata.yaml
new file mode 100644
index 00000000..fc1dbd83
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_expansion_preserves_metadata.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '406'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Introduction paragraph.
+ - |-
+ Employee Data
+ Name, 1 = Age. Name, 2 = City. Alice Smith, 1 = 30. Alice Smith, 2
+ - |-
+ Employee Data
+ = New York. Bob Johnson, 1 = 25. Bob Johnson, 2 = Los Angeles. Charlie Brown, 1 =
+ - |-
+ Employee Data
+ 35. Charlie Brown, 2 = Chicago. Diana Ross, 1 = 28. Diana Ross, 2 = Miami
+ - |-
+ Employee Data
+ Conclusion paragraph.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: sypkuBorUbzeAGg8+qk1PRytgLkv3SU9YUJbPYZCxzyCzkY8q71FvEM+GrwzE9A54KnKOYWvFr1N0p88QLdYvUaTDb0xpu684whfPYFhRjn9Te274SwJvRa+87qRsKE6YnWfPF9DHby+0Ii8YaU1vS/4LzzRdGy8LW+iu0BRJL2yaxo8eyRnO5psaDvBA4O8gwS4vIsiKrxXKFG87yw4PPOwo7qS93q7sJq7O/22qzuA80682I8NPfuvrjsUhxo9qINWvB86gryfs367Fva7uzn55bx755i86nFLPBGrA72ZCMI8+PX4OiuDLb1HVhK7Nm9wO/1zpjzSfci7ZeNKvJWvJLulI5y8YRe/O7GX2bmzvRo8YdTpPKxtQ7y0nmg9ioHMO7OgnzwGs2q9/QvovDC8y7vNE5U8SCUmPGX1PDxf7fA87gVyvCFQ5rqs4lc9mETMO3GoDLy6LRQ9OlJRvJBQ8LtP4nW8NTNFPLUgL71creK8DutGPLKNnbpUDUG8dYWTvNWLrbwefmK4MTTCO44SfjtK9JQ6H2yJPAyUErzHZky8X3IbvBKvqruX6g+5jY2JOVVQczzIkDi8E2kgPGd0mbzNN6O8pFuRO4w23Lz7rRM8UrXlPHCLMzxQ0qU8SUDRu2EgAT11wBQ6/YvGuzsb4TuUk4C8BTvBuyjwJ7pKuhC8wE+purqyw7zizYs7yRQ0vYWpwDrNicA7nmivux7Lg7yQvJk8ly1GvFYcETy6H148H05LOowCSzsjHim8IElrvLq4Jb0SkkK8fJ1Pu+HgCjyw7B08Ax4xuPsMaLvlt+o76GPvO3JDGbyaNwg94fEtPHQdiDwAZ+q7bqZXuladlbsV/zs8TR26PGCFPr3GEBA8UemVPOdyg7zO0iE8vo6XvHUggbzaNyg8bW07vBJ/Y7zA4YO8caPdvLJ2S7wnJZe8kcHzOrece7zbCCk8NcwIvDQHTjyvqio9Qm0vPAlumzuYrZQ8+bQmvMZf3LtEu2i6aU6OO/zj/rttuws80WETPOMVKrtwl865zMHJuhVIvrw9+FM7q4yOvOEN+jvsLT27F14lvLJM1jypriW8TUQlPA108jvSmz08BqgXOndVhDyp46y8G8UfPHC8/DozmUO8NvmlvBvSqjwmBuk8S/XAvGUoprukyPA7TFhTPSZuCTz5knc8BKCxu/gVRTrMGCi9pgOIugMrnbv2c/O5+i3GO3GxlLug3DM97xF3PLe1Mrx9ARs8ddwQPJYwrbvWgZm7Zs1CuxVNxrxEtbi8wiSBPHNiDTtnxce7+7GbPCG6VTvT4A283/2ZOyaHDLtDyr28DXyru0g6xbuk+NI732knO5bOZbzJmkg8BfAyu8VJdLyGXxM8td+sOyRv0DxzI4K7oDucutCvI7xvs+e7/XkLPLE73Txtlyc9qWWROwgYBLzT4ri8I+ZYPX7y7juTJ8C804RnPL0oEz1qVpS8I3eCvA53GzxvEFE83rqqPH8NtTo6i+c6BwIEvWxGhLzPtKY7KRaTOwfWa71iIkY6BlYtvLZDcjtodnI8h5AjPDxmiDzBRh07GHUbvTbYb7uNqpU7nCjUuwPmO7uWxJU87sD/vFwDRTzeD7C88ujjuyDbqjpnx947EWSQOxyngjx2aB89vQmJvKsI2LzpG1I84UelPNGmq7ugHS28jhDCu97xgbyCgLA7SXsYvEjsorzf9jG8zgR7vWh4tb0o3s27gMjMvB/Q6zx2TFA8MxUXupY75rzxdAA9D0oXvc2jlzwF4EO9soHju6Tm5jsWPZW8s+qWOsDiGD3TxH08Q2bzuZGWE71zbvG730ZBPVoqVbq8FT68DmOXvJ+6ijvnEJa81S5NveO+yDtwNNK8V0zjuz3ZIb37+Fe8XEaXPCmJ2zz5m2u8T8SBuyKjqTwg6SM8mnHou09g+7shytc8j2PpPFjYrbtRWkS8U+jWvF3MDTzc74+8FoiRvB2VFTs3+O08r89FO+sayLvDYsu8qEaZu52I/Tzar6a7zdj/u++riDt7azM8K1TPO29tz7z0BHc8mdvNvPjNJbvbfo28Mz2yO3+sjT0qJjE8Pmozux+3zrzeqrG6eL2WPNrk1bssQ0w850fZumij4Tti1DU9qBABvb7RmDx0oZI70VA1ujh8VDyCPZG7OMsCPLjjqrwEtus8HxoLPPXsojxBaic89zybvHDvOjtT/6C8BjLvvPN8DT301Qs8Te1nvM6LPzza6f26WOoyvCPxtrwlxVI8uVtluvSONDz0sCs7u/IUvPD8CTyUaza80sWzvOTIhrvOe148w3you5zTdT1mNgg706NsPasAKzyN6Uc8RSKgPOtEnrz03O88hTEVvL9tejt2bP48m4InvUAUAby9Kzi8wADIPBajEb2vQou8bOvPvFnF0bzHJmq8GesKvWOxf7tjT5o7Cqeyuh3I6LzCySa9UDZ1vK2G0r084/Q87PwUvTGppLwyJC69oZ4AvT1+aLwFEXq6Lmc1PYED5DyVago7FDfKu7SBMr0aiBo6nLv1u+fP2jztMWI8TqddvLxibTxQIZw8prrhPAYHfDwH/qk84XsaPM/b5LzeUDu7uA4UPRYOhzw/Y6e7beiguzTTMT2z2NY8exRGuyvFajtI7PY8M09SPL1sObuX6BI74nA/PG3NYLxIUIy7+uzuPHMRZ7zNWDW8XRbTvG1koLtntCk9YnS8vPumFzzpPrg63LtVO870HztRedo7IJdBvfdGQDwyYRU86p2CvGimv7yn3ue8lfh4O/v7TLyS2x88Dy0TvBuIy7zFzPU7QFATPOffTrz9cLS8/reTvAhrlzmXL2g8LKirPPtIHL2uTsg84tP0vB3TTrs/kVC8mHpSPctv2Lwd1IO8UvkIvXz1yDw/sM88iwJQO1w+Y7yTrxy872yEvJaRAj2H0KK8t0CRvCwNjztU+Bu7P1LePBwMkrzmsoY8ex0NPe+EITzs/Jk8IyuaPAybFDxdNbc8hQp/PDJCBDzRBgo89+aouyPOHTzW09Q85or7PO6nr7y5RZy87w2xvFoHejtqQnK8xi2cPEv56DuJYm69XJosOxP6yDt/qOW8+p4Ru2+1W7mf8As8CyQJvNxONrxF8p87v5a2vHJjBb1iDbq8BKMTPQ2vl7u9Cwa9hWz+u3nxjbvl6GE8OuYaPSuRHL23eR84cDQbvCcCtTyRxvI7+AOoO/W2ibxvM1I8rlPpPFPAqrojOZQ8gNsSu33/czwoR9+7th8bvJoZzToHYXQ8ypZ6vORi9rvWNye7sFMVPdYLYjxdPUi7taV7vNBmJDwrYm+5CMq0urhwML1sc6q7UJ3kPII+EL1GjB698dEnvf17ezwEP4C8uSv4u+tiErwXkDs8xgZ3vN0RKjzdHp27fimBvRCTjDz8rv07OYAGvdo1ZTs1V288bpg5PVsXXDwNgp08see2O46ri7x/44u6Cc0du9SV6jypysC65bI9POXNoLtdw1M8D/AevJWStrrCwIA8K4RuPI8BzTzYR7U7K+ktOtR5g7pBsZU8PLWNPC1+c72bg488ECQsvUlluTvKT249YxIzPFNwxrwXi708/85aPGb6OjybiWE8lLCkvP29RTyHpMm7MPeCvACr/rx1l5w8P7VaO35+dzyC5uI7LR7IO9Eh+LuiI8g7D9TpO3BCIDnlqr88G0DOuzHoNLynexg9OmZwOzwLeTxJ5MQ7jqiruyNY9rlrmfG8D2OyO95/Ab2DrjI7Tcw+PIyYAT1pHaE8BHzou2ukHDv1qfw6421tvD90mzzRxDa8kts4va7yprzu4ao75ruDvGMyoTyy2bq8iEtNvNeYUbzJNPS7X5VMPFTRULuQXkS9DBUaPC6VQDyrrGq75UqFOz8W6ToN6/M7/s8MPVYuADw9Xwm8QQKKO309mTxbMSG87PSJPCB5gzzB6wK7cTfguzgFIT3rkNm8MPBou148vjyWsK27jWAIugA2/TsYsYm5oB0PPHcApDvjeqw6a8Mhujhk9LqJgJM7qzwGOnS6F71V7wm7oa2cO2wwDjzMLXM8Fih0Ower4zySk2K7DuVvvAAhcLwUKhC8cnSSu9xspjxHSQ69TKmUujjsWTyKln68hrVhPJCDFDvu7K283J27PNEuqjwQYq+8jeWWu+hByLq8zIA88wWPPCoYOL3MElk8rtvqO9vCAr1R7Is8D/YIvaO3yLxwGYU8rYX2u2KZzTy2rsy8powOvLLTBjxqgiQ980GIuz/6t7xAMae8IjsIvbFE2bw04KW7zNRxvA+zBzujRso84+l+PBWhIT2Oy4i8hDOQPMKYwTzDDqy8LHHsPFvf37sI6iW9pV2svM3cWTqQ4Na8U87MPIQy8DzyjaI8/8nKO1CiobzaOTK8gd9wvGYvlzxWeUW8zeAPvJoY4jy36DM8t8lwPGeOUz3kS9m7XPBVvKk8Szwc01o88okkPBchCL1gCjM5r2/JvEe1T72qfhM8FT5AvBHlPLw3OyE8AHUeOp5/Drw95Ls8Zo24PEL4sryw9/a75yDOPAh1JDzO9IM7BZ6JvD4QuzxdAhi7V7AmvM1ZUD1kAhy7iXVrO9Tkmrz9v++7KtIsvMBa/buOD5S8KZRMPSIX9Dty1Uo8mc5/vHP9+zrG4lC95hkEOyhc4jt0EJQ8FuECvZKlqjt/Fjc8WNM2vYNtizhn8bq7CAa1PCH6PDs1/mm8dDk3PatwPD2bUO07wsDwu6LWizq7tCg8DVZfvCDDJzv/tc45jgkFO9ZihTyxuEE9WSbau6JKnLwGdP27aip2vF6SAT2bLJe8vtONO0zDFjzkRs2604AxOQ9CBz34K4a7X3C8vGTixbwfbXc6XTohvV8unTxhD/W8s23uPGp6jDt5rVe8ylRJO+26M7wvSMs7R6V4vVsPPL0Itzk9in+3PLuoSjz0lLS70gJGPerJJjzYV368wZaDu1APELz6I4I6T9+YPMvw17tfSsq6ArCxvIEZqLycUYK82+8LvFKBGbwb0zk8lI5UO7k3KLxnQsM7TX8HvViMljw+UFY8kRxrvIKmUT0fYkm8Xa8rvCw3ljx5J/C8HE2GO8xFB71py5G8LO0uvHmJvTtbphC6ih8QPB4uHjw0s528Iu28vPrYGbotFCY7KjmdPDEJzTxy2lE8H8XMvGBsAzzJB7K59pIPurrcBDl4T5Q8Uzowu+dHgLzy38O7rXxlPCRGXDyEJUs9+2TqOUxvbTxNI9W8MQxePFRPRbwYDN+7Q6qrOatjI71oDh89084iu8wrPTv4kj+8hSE8vIsARrx1vcM8Hjvvu8757Tv3X5Q8L+m0PAiUtLvcJkg8HTi4PE+o0ryLvCW764qxujDZ6LxE2Z68iO6mu9Vxprs+s4s8IRc9PUILWrwfJ2s7e9AWPBt7AjwtAuq8ZU3WvOuOKbuu7IY7o3UQPMGYBr2KhlO8xW8Ruyx+QbsFWHO8UdcOPVoebbwxTI28y/7KPA2PQDzTPWI8nAefPMRdBj1zy5W7XougPKwTjbz4od873MIXu5cKJ7y98Sg8S6uEvNRmEbykhLS7VAVhvExgrLz8cqW7o+m8OvxGQzxHCwc85mSdPMbUJTk9ipy8qIGePLhSNT3a47+7gQL9u1P++bwuvUE8/QHQOwex/buwnEa8vv9EPaOUATzuv1O8t2dqOT6eQL1nMvS7mWvlvGoqOD36V4m828OBO/D5w7sTwre8MtbfPBNJHj2RHy495KffPI9BLrzdgzg8h/awu9/nwzsxJYy8G59WvSbI/ztL/5w8RctdvF5h+rx6sFM5iobmPEZuqTzCTD28WArfPI4aEj18uZq81tKFPLl2vzwdTWo92uYbvPN9BLx0wIy7Vi/0vGBZoTu4pbC8O+3mu1DM1rtsvsw8BW65vCYDYbz39h08eH2QPOAlQLxLXAQ8I+0GvawC8bx3kpC8ntoiPKVSkbps/7W74xRuvFNfmbwgMtO8p1Tou/dCKrwU16M7ynIDvIDtP7t1SpS8ZsPzPMm1YDw7BpU8lWqmvDFW3jvsjKi7NJnkPAQDLj005g48QiFyPGaCST30SIW71B8nuycJ0DyvujY5Y2qEvOQXhTz94OE7AOGuvKUFejwkaZ4983Q/vCJgpjyMcFk7BfimvKWxt7xq0Ys8Afr2vNtcWbtswQI8+b/Ru6G9eDzkYT48OLnsu/vRbjxqDcI6j4b8OjlH5zkPJVE8j6UevPazPzzJMT088VYnPCJzyDvXWCi71Z+vvPIl4rwBGZQ8DC2kvD2F2Tv0DKg8D2wRPcOFB71B6ek8XNUKOk37RTyHqUw8w5kpujeXjLzfxjc8FKD1vNsv07uS6SQ8AjoUPXn/k7wyXAI8ZuflO0S7G7yS8tK8LUSwu7rqsLytzBw8sTTSvByzarzOpd+8lqSgPMisp7xomHO7KGI+uparQ7zhSeO7eLXJPGW3yjzBuH45ZKVmPE0dozw6oZq87RKjuzhggjynBPi8t35pPCqJDzyqGZU7Niaau6JxvDtJbeY8A498vGBUBLtf+6i7N5IjvDIfMDwLALY57iNsPCW3g7samSY9sVflPOZs/rsZohY96x/mO2fj2bw+u7u7QgSIvIJxQ7tAs548VEkSPf+3drxDOlI8Mmy+PPoeET3Wesk8Oc7+uy9fKDqZLIm7j9cnOt9UoLwIore8guNtPGGBTrylWHa8lZKVu2xERTyLEgc9aFmnPNe4FDyr/YI8os4nvIcGk7zxix289tlPOBERqztduKO60VuHOlWvNLyPlcg70erAPOJ+E7xIhU685lSlOk5qKbxyEWC85OnbvE1lOLz4vL27K5jHPClCkLxHIOW6uw14PM9SATzMUaC8Q1GuOqeS7rzKr8S8gD3TPGJw1DyNbF+82QFNPD5IpTsAqq28zgqEPIsim7kMHA685HsoO9u857xiZZ87ef0kugUDFDxjcLE8SBIHvNaNpbvJAsq80nO8vCdERz21hIq7+IuqO3XiXTzl8So8fLkuvBI5C7yxE047AIlYPL3BlLwhzpq8DkFgvVEjizzvz+27YSLYu4K5vDtH8DG8jlagPEkvRDyb92a8gmSIO3+4qrztcOk8oVEQvH+fkLwumV28rD3oPIUd/Ds7HIG864MivPZidjwIB4g87xcpPU7767xCEPQ7nyOrvJ2k7bzOypK6GBv/OuSuJDwiBIi8AL3Dum7aCTyi1US9Ny3ou3yECzuRxeY7Ja5+PJkIBzznqZ07vP/2OyY5rLpW6Ze89gY8vK+C87ueDBM7DcXePJzX5rxkIty8iXqWu/odNj0WGU88/Sw6vSmPRzv6QB68H0JnPQwphzvolQE70HeqPO2nwbpNeP27ftItPNLw/bwKAiW8JrR1PA7TvrzyyVs81OsJOzm2MT0CSto8vQLTOwtoi7wHH9Q8PdSoPPoflzp8n3M8PZXQvD8QgzwL8iU835NVvOjv3DzSZ568FaEAvX1wRLr8+Ry7YSbxO0UmDb0AWDG74z/SvJXDiTxTn+S7a/wJvJWT5rwoG528rciUu8TpFT0sosW80nEAuzEd4Lyx3sy7+1YFPaVCH73xoqg7fTLGu7DATzwMdd26rQb3u6UtF7rYUJg8KXMoPHx50TzAJ408okrmurFXbbu8CZg8R7u8u4doj7t+fZa8xxGhPJbKi7xliHi62u2BPPHSeT2GJYS793AcvHK+nLw0DM27cjexO9RT/7peOrk7wr7SPOM5oLw358y8d28IurkchLwCGRE9+53GPE8sATuolw49yK+APFbD2Lw3epm8VgkOvFqXwTrN7ic7cWzcPNFZp7zcA0A9IuLoPIhjT7ywl2K8eheru1UzyLw9GbK8y56HvTMJqzwjZGg7+W6fvLS2lDqqclg8TS8PPbyyLb3eoSw8NCYAvLILJDw8y4O7etOGPPI9orvLa9y8XY25u9JwSLx/iwi9r2Y4PIu5eLvVpDi7xVYBvVbB0jzH1yS9oVvGPOhbizv+1QO9DYSgvNeqdDs6Gbo7N9wOvLqswDy37Is8lZN1vNpkmjy4gCa9ztyWPLP0jbtaRpo80diDPHDJubs8ql68ZcflO0xjjzyiDGC8jerAO6IQJbxOmhq7fg2wvCziEjwEBT07DbmRuy39XzzcRgu8Sz6KuuK6GTucMJM8HJR2PGPRijwiVik8Y6bBvMZtnbwhXJQ8qG1QPKu26byDsBQ8MBoaOODUMrzHYIE82k1jvGQ0NLwDeSI8LHdMPD1LFzwCx648CCWqujN0wDsflzQ7zzxtvNV2GruClxQ8T+5evKUcXrsSexo8frfnu61HGT0MRaI8n6D1PLWWujqQGNi78MiBO97Ohj2w/uq8838kvHfFz7xL/oQ8C9GtunFCkjwvtpi88QQsPDBZ/byHLrM87NDXPAxbpDyTF1C8CXExvCgsD7vOHcC7eQNvOzg4iLjUAps6NI1SvXjxW7zbn5C80wWTPA4vN7vjU7G8Ej8XPSSxkbz17gc8kPpxu7vRGD1sLNw72NToOxdYA73Qixk8/4wkPH1cGDy1CQA9BzCdOjJ0CbvLHy29ccwwO3MxKrpPgv28ne2VvMHeCD3QpYs8RNqGvHH8MLwUswg8onX3OyiBzTxznRK85QyFO2SX67sldAa885iwPOSRiLwcZ8M7wh/uPMxT5DwSqLm7B2xYvOj5VDw4aFI8DolivIIS+jupnTo8nRpEugGE7zxBMgq8Ns4vPDvc6juM55m7MZnQu4Ua0bz2lT49RX6XO3klPzsMsPW88lCnO4+oeLxthBi9P9uZvJc+Cb0uv4y8HedEu8QjADyN+Yu8bb1qPA81MjsZmia8lo7GO6q0iLxGbzI6oj+CvPfVgToecxG83qIkvNEyBDwht+S84vEIPX/Iz7zIzYS8aJRVPDxKRjzbel68+JquO4yrnjxnJLg6jjQXvXKNHT1k1mk8+F70OhEYmLyB/M28Z+pIPOjdAr1i91W50YIVve4gNbwmM/q7RVxJPSnAobyqtoU7vS0LPIJntjtHnci7hx2avP53ojzURxS84cRKO2xkv7xP/4s6Hp2GPOPMVjxbV2m76YejvFzpLTyl2Ky8YvVGuwRW1buAqXu8SXdTurxQejzIbzK9QRcjO0hmnrzk5RY81BKFO22DQ7x8m7G8hZYMvQy2eTyQWLA8mgOCO89pQjrLtP08TqCGPMpsKD0YXR89bWQKvHRt8znCpsI8sXjpu4DJfTw9ZRA8cS0CPA6yYTu1Zqw7IH8JPJv8+jvtuPy8YXRdOWuCDTxwSKG7GL/GvIKDp7xH5te7y41TvJn2Zrx5kBU8oantuutnZrw0vfc6hEtCO4eZETwZnVs74xSEuq9qrjxCYje84MRnPCn2mLzE9b+8mFSCPXMs/DuRwo87wZa8PEYR6rsXNs07F2Z4vFygZLz0XpK8PqLwOwNRIzzrgAm8G+PAPOWS97yd4zq8appbvFCD5btBfhG9dZfOPL4xlDxi1Qw8OBYhvJzMgTxeBuq8YUxJOhfUxryhf7O8F6IoPJJDILt2wa88dZ5dO8LvqDuT23m88Fo9Pa/s/7xRI+q7agiHPMyCqzqU9vm7klWdPKL2VTwa7RO9EVJMO7gGy7x9rIM8U7HXvMNlqbwIR4k89LC8vDtQCD10whW7K3fUvBP0Bry7Hlc7ZIU6vGrTwDzRtVm8aqJevO614jyPOXm8PqlcPIYpLDytwbA7eosrO35ccTxlnqS8+z5evBzKKL1ntYo8GyqUuxMpTrwQmqo7lv1/PAZ7c7z9VCE8JSWrvNPPqDqJ/vG85ZG9vICewLqNdIm8bd8LPQhzS7w17/M88vbtvKZmHjz5OeQ4J/oZvSVHLjtFa7K6tspuO8dwBzz0IA89fOsHvbjrsTx6xvc8TsyIuqM0q7vgil48tmxBPKJSAbxBZps8zBvcPHNryLuOSNC7r/PKvPhF3TpWtKO8bsWAulB9DzvRbGm84LZ0vPvg9zqTFwm9Nhc7O5NZRbwJubq7HwARPEl12DrS/na8AcXcPCZ8Lj16cqc7qLGCvGJ7i7uU45I8zvSROyT+aDqpix+48WPvOk97dbsK/ys8JGecOwEbmjx8V4k8+LOJvFzxgLzepjw85DlUu7GS3ztNlum7SdZEPGyEeTtb9+S89bmNO4f0l7r6D9+8ucYfO5EqhbzLYTc8TZY0PEwJ1DuxO3m7MPsUvehNTDy5fES78m93PA3Tijy5/eS7mPZ7O8rLlTy8fwy915gZPU+81LxOhRC92vq2vKwkLrvKCSs9xpGJPDzC67v7bcs8w1eVu2Z+d7zE73g8FvNlO2BBpzl2uG68nLmkvAoOozwT5rW6Jsl+O3nCHT1WP+y8sU8uvEfm7zx95xE9B+wEPUrn4LyVO/+6j7RuPP2Ikby0ENa8kgALO9ST4bs39e+7yTiNOyWv9LyWgKi8Bg6SO4zshjw6sP45rb0FvFStKrx8uGa77mSfPOTlejyXV6M8vMfvvCIzDTyU42a8Jrc5PNLTK7uhD+u8SQKePMZ4+Dvo8h27YK9xvMKQubqoXD48sdHOPAHnHz1EjKW8Jl8lvNkI1bzbj4m88KEIPehPHrzBini7SDikvDvHcDsCxmC8LusmvHpJIr1qWWO8cOLYOOEEr7z4rwg8RffAvO7W1zwRBrw8t86PvFURJDzl/Q493KZjvOH3DbxFlRI8FWcRvFxqtTz3fYI8o3TYvCj04rw64Cu8w2YSvPd2Gbz2MZq8aJSzuqnOlbwwkfk7se06vH5D6rwsK2W8FcWsPPwrpDz8eoI8tQ8pPOSJBz2bJjg8wHLgO4QnizyLRl09/qSBvGKyPzwTFV68a/EEvUx7azwPw/67XhGFOwqtmLvRv5g8kHMtuka8druXe928OYp+PMnqzjsviYe8mPVkPdYfkztux0Q8UdPzOz/7RLossHO87t8DvJo6wLwbpZ88TsFoPLGS0bz8Ltw8LufGuOamCjuuZe27LAWuO0Rm07nxZME8iHuAu2RxXDscvhi9BwaYOxlPFL3Zlok6LyiVPNo2YTwEPoI8klVnPI8oIjyoNyw7GiuDvM/wBryg1p28VuhhPATlOruSxya80+lhvDH2qbxsAtO7bu2APFoEtLzSQDe8bA0GPDiKDTylZ4K8Qx0PveLJibzde5G7LvJ+vNgKVLxcyZW8rcPNPN8xCj2kN2c8+lB+PCfWcjwt+f07mb7ePBiW6rs2K1w808A4vD/SCjy8uwI9j2IfPY3ZJb2bGpI7M08ZPc1mlbzca4a84lqDu5lOtDrJl1C7uTIEO+XaZD3x2+w7V/PzO0cMkjuAnCu9em+TvKtbBD1iX5m8xBmYvBwgULzQtNs8TqssOxtKwDv+mlC7Es3GPO8uDry+V0q9XqEPvHx25ryGTUG8EjHmuz1KGzzdM0s82OagPPwSBj3AaBa9chS8vBcy9DyJ2Ao9RpYzPJju7zwyhOK7yTTaPCvK8zwUNNw74J4cPLid5jzQxuA7WvBsPFuz4bwpRca6saOCPJzvR72XIzU8H88jPaeGFbqO1gS9bFnTOprvFjzz8R68rGk6vfDYEzxDs+W7M8SVvIjPi7uHFTy8sH6MvLkEMbsqjMu8UZqXPPNZg7xg/4K6M2jmu7BqD7xi7Ao9xLpMOyR9kTwvRqS8C1VbPH+oybs7hfS81FK3vPvEjrt6vdo7Tn2FO3RpvDzBSK48HCiPvBxGXDrnfFA8EDitu4WLuTz4+yM8cR7dPJvVAbvilO680r/hPAlEKr0NIKY6WaiwPC8v+jzks4S7vlzeu7gtujxRLTu9J8Xuu0au/bw7dq47MTwKvHv/2rtJiGM9/VxWO4IDsbzZNxg9jxINvVkWSDwXGn28iXGWPIQw7jkv0y07HRw4u5pUnbzoNii6y36HvBa4/juvJrA7tNv8PKnj6jtZwf+77Ni/u/S3EL2WipY8h0WEPGGGWLzqrq68Ke+GPKxrATzohfw8Muafu4beVrxwLLq8GAwqvN1tXLzdKFQ8IekCvRp2hLwFwqm7agkovEe7vDu2CsI8YMMEvRfIJzzkV587EamovPHOojyt6ac8iM5Qu+VlrrsIjRw8f/njO+y1fzxQk9I8g9Zhu841ALwA1I682KcUvUPQm7yvWrs76Dk2vIfNm7uryys9qCevO/qPuDxjBIm7UvtYPLdWzrwXhm65oUXFvGiSJb1dk4k8bV4fvHNd3bwDW/S8mXZdvM6vpLwv27+7asomO5We4byIXgI9933DO/ExoTxySCe8toj7vDVlgzyP+wC82R1wOlwZ0TzT+y28W4YTvM03RzwrFvQ7OYgnvPJqsLs+Z/68yNUgPMKB3LyAhT49+2wMvI+Rmjx7ZZ28V8IXvb/d+7xoGQ07ziEoOseqGD21wgc9JMkUvHTW/rvt4j87yN9juk3fUDtE/Ym8+R1HvBnwyLwq3jA8r7pSu5fETzx/B3i8SJEtvUpEArphCkS7Ta4OvL7NAzwfCbu8wKRGOpYNJDwZDKO8dN3Sufjnizur74S7PKqOvMjSLbzptnq8rxjBvLKm0jxJ/g+8T6lVvMvCqjw7ddq8kOT4PImF67wS18272GEBPJoi6zy7nfE8C6gwvFifkTsYd/u8jRyoOhhxyjwI8lY8F+FEPPJpuryJn8y86hygPAU5l7wsY0i8rXeXPEwk57yOJZm7OfLRPGDHNTuhfZa8gJQNvHFb7TpzRQo98WwGPDImqTwpk5U8vD4ku9e9LTzbLv07gWFwvbsf87rhwpq8msyKvBxxjLz2kvA8/GKFu7iiejw74tE89rFEPf2GzTuiMp08DsPEPNRmwLxCapS7kasau3fMkztF+6+8AAKPvECudzsVI+O8Qo6TvH7grToplGk7bDzwu1lWG7xbs+s8pBLuvPfT4bzSbT28N0Siu2mpGT17fBm6tPkLvWw4MzoGYQa7xxPePFOrvbxzF/88dAEuvSWvWTzbr8q8dOF4vCncJDz/34m8U6qUvN1HOzzjRFc60mVRvPPtwTtPmBm8GzxFPEzCQTw8cr26vZWYO1VToztZjfG8FKzlOzqBqzwka0q8sh0EO/l/C7yOeOk76YgQPIN7mjzKtTu8H8QBPZiXybostxY7Rx7gvHYSCr1O2Ew7/rsuvB8lojzMfZg8rBwovPe/AT3m5dI8e6rRPLGgyjxCdRA9KIrguwv5l7sS4Hg7Mb3duz56mTsaFko8RM+tvBR2CDvN6Be9RK7kPDSX3DxLGtu8tQiaPOmQETzhAGi8TjGWPG3zQTzKPdm7dqRtvJFDWrzCYmu8BNfLvHjEdzxW1X48SKqBO/aZsDt6f9A7UUGUOytp5Txno7e8eZ+IvMG8GzsrCwC8AB1kPCTDzztC1uC7PkqbvOEdizybZV28XqCBvHlUJ7wdMBU889y8uhZJUzx8zgy8MfCxPLu/brzh8wq8MQ6huzrN7zzK6So8FvIzvLFrKzxdzwc4+K/5O7dz4LsOz5w6KQgIPJQL5rw93qI8Fnm0vBc2tLtF9s27ror9O/JVDzyb7QK8+wgiPJ2wabrAWXq8cLwPvEN8mDzyVaE8fCQOvPFf+rwBF+E7ToAXPEB5VDqqPPC6SPcNPLxfy7sXmDe8Xb++vH27JDzeP6U7VkG/vCGenjpUasE6WAOSumWnJTwCIW28j1aPvN8UMb2upc07qS8XvA==
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: XM3Quf+JMDp+aq48VJLyPGAmC7stHG89h98mPepGPTwlcFI86ZFdvDSwmbz95j89v6YFPKlblbwLZIo8AeA9vcF6yjzlrP48kG1bPZ3AK7s25Pu7lwCdPBI5/zw0N3a8R4/AuwqBGL0uqL+8Q/ktO4V+nTwByAQ95LBjPFomLL2GBGI8In6gu6eBVjt0M4O8+ie4vPt/qrsHVpU8CXHju0DBVDxAUZi8NwKbu15Tvzug7KQ7x3cgPT+XEDv2rDo8w369O38BzbwWV9A71rsHuxWSYb0j1Yu86sodPVmF2zsv5z49DrmROza5tLzny3u8SfBXOmVn0DqKUFa8M4osvPnOBry/c5+8RTxbPMNnsLzkb9m6Amnpu7XiZbv4G+s6sUdKO5RFiTxynvK7HVCMvOYjwbsCRH089GK5PDPfBDzxD9i7gn3MuzooGzu1K4k8VKYfPY0wCTxFn2C87LMbvCuzGb3x50Y8CTVmPAgvDL2gxWi65P7nPNBawLt7Lpi7riN9vJtPILwtt8G7REK/O5przjssUAa8HiYHvJW27rwwT9u5wEevvM8EkLvYOz07ZszKO6lAYTyHVyC79hpEO0yBTbwK+VU7Oi2Ru3jNirxuEMW823sVPRlnfDwYuD48Vj2EvAd0wDzciMI7DuPeOwY2hDo0fxE8bRuWuz9Kn7wOEZg7t1TvO2suv7srCze8lNa1vFhq7LtgE9a8IyAqPElutbtAd2Y8IKjLvBimcjxmyHK6xIerPN6QhjzX4lk8k99NvHkWCjyYHzK6hlW5PCS3UzwI48u7qe5LPPTc9TvJNs86unCrPCrrODtXOdE8Gs1Zu7zMzDzH6lQ8NSCUPLcBpTsZZJc8SzsuvdMUCLydyfI7fCIGO2rUfzxSDUA89NVlvAbztbwEYwS8mkXFOprd7Lx/EcC89+ibvDMqzLs3Mpu7leeovAyi+bxFsPa7ksk2vID/CDw4rMQ8gbOYO/SpUjyXtHi8V6EtvJMZZruzge06QSG8PMoFo7t1dl+8+EOCO8mICjrS/Ki7Jk0VvWiotjvb/Q+7/WajvD53hzugD488XNwVuYrzJD1dYQe8zkOpuzIWIrswiUY72+u6u5GrhzwD41q8n/RMOsYtWzz5S5S7aE23u5wiYrjzR1A886XyvKmkgry96PQ8RWslPZ5IiTvhEY05c3Sjus9++juCJNy8u1SNOnErIbyOwT87n7ZWOks7XbsrTjs9cMSWPPMr0rzZ1B87rJgSPEgzDDzYhim7f+Pqu8bqVjtkdwi9yi0JPQZclzugTT+72N13OxUaALwIFT28s6/CO57sprySTlC8rojWvHNuVbwSC5U82/CTPCV8+bsUVRa94SQlPKzlpbzCUV887iLXPEMB5Dw/25875bNnvQhPk7zs5xG6QPmCvB2/C7xJRO889YdovHAUVrwHZK+7k/uePNC4KTzEzJy8u25RPNjClzwJNCu872U0PGWcIjzu14+6lCnaPL+o1bxCRfQ8piT9PLzWQjxilr+8l8IZPBmQYbySHz48WnrlvIWVp7oahoc8uJjsvFXXgTz98E68bji5OyJUAj0BgzQ83c9KvLoxN7zeVME6cBORu2yNkLs3L887U/MevAxI/rsMZCa8isUQPAAiXTyTnG09BaTZuzDHh7xrCvQ7nglqPKFuE7wVDrA6nOBzvGAlEbyzh4Y8lzECvZ3sqbyugXW8jxFUvfR+Or04tJi8v9MrvV6/kzz9UUs8HcZ2PPdGVjwynSI8Wxe7PLil5DvfS2S9gHIxvInjqzuDW7u7Y0TKu1YyND2mqiQ8MrXgO7KY6rxD0hk8nk5LuzU+Cz18KwS9jGRVvKvJYTxu7kM8fZwJvQC6Ij1Maw+8jXm4uyY9vrxecK+89D0+vJNo2DyAcMm888WEvOh7TTzhZcw8itNgvFhURDxF5o07KUYLPGz9I70Iu/G84ZSQvMsb3Tx4WS29Y7CWvIOOGzxxhx489byTO5oFL7ulvtq8EAcjPOH8KT0KEfi8a2WJOoy+gLz6hws8C4TpPG0V8LwC19o7DIsavZb0vDnPGEO8GlEsPNjOxTybklM7WvO7vPKgj7z5Bhm8J7thPADrQTys1T49g9wSujt0EzxE9fA8SwG8vOInT7wTk+q8QwexvFSItrxJHAK88+pNvLv0hbzdhRQ7U6ibPOHdEbysKro7TWJNPONC+DtDr2M74VmevB6KSbtiOlk8DJGVvIRcVDxNlJE8FMrquyRSy7y14KC8ExTUvCTlhDzIsvw7pO+vOxNDOjzNZYG8EoclvHYdqTwuAUA8XtD6O8KdHD2ivSu7BTvqPJUaCrst4Wc67Iq8POgwCr3lbU49AtMwvArT4rqu6BU92ZrMvB3DT7zZQtA7dNYvPCBZLDriPjy9oLV6vMrbHDsW7A+8iq3UvFYiXzzvDc488HqWu9lSDLyL4B+9Gs6LPLQwzr25r5o8A4ZDvOmaorwSKym9p1cGvWE6AL04r/C7E9gFPRPSazzsOCq7qcZZO/s4GbxFJee8w3CfO+c87zwiA6S8DB+2vFgXYbu+BH48EVkNPeGMeTyTNzM9hou3OytDaLzpavg8bJAJPaxBZjxRqae8nfUBvPNVED3xI8O8cCXdvIy9qzvevYQ8FZ8TPewtKTwefdq8lTpcvEL1sbypN4w8e+e0u4bRDLydAbS83vmSvI8aBzwo8pE8/PMFvPu2GDztwOc8LhqJPJa0rTzUK388OB7BvFtYdzwvqla8h/z0vIpSprzTVUu74V7oO6lJw7v0DbA8wEzzvPQCsDuqGtO8hNrWO+QDObuhO8y8VL4RvP9rZTy4Lzi8k5utPFmCDb33q8Q8lBU9vEQpvTtlYuQ8+0InPdE5k7us+F+8Lah6vMxJ3ruAR945EkaavMA0gjzsybG8QlaIPKu7W7wkSDO9YOm8PCiAnzwZeTy5ipADPSLJ0byJmxs7P0hDOsQkG71fvzu8YWWVPMyw77lCKcM8ZAWru0iUMj05zeA8ds4WPEt/CLqA64E8zLfmO+a1Ar0ZA0M7jPKsvKHblDwBK0g4PZkzO1uQhDwSD4q862mLvE8ebjyu6hi9GBqSPHyl2jpYiOM8+l/UvAM6HruoQ+s5r6fcvKzR17x5q/a7fcQbPaneTruawcK87FuuPOOUzbx+6VU8X4mUPFHvD72eQVA7B9iyO/sWGrz8KFc8OUk+PXPva70eJK076tekPLakjbxE/Lu6JjMNu19JFz1juE48fzdZPJlnmbyhCim7xXQcvLjlEDwViKY8SyyYPFtnk7y3DKS8kKafPNnfyrxdnaY8bviwPGaLRb3YCZw8jyOvPHCa8rza8yy9baM1vQO4SzuggCk7+Ha8u190nTquDwo9rLIDOz06kjyeW/C8WB1UvZv3l7wnZSS8omARvZ4fOjwc/cM8tNf3PEDFXDvRres82U2PvCHpDr1H9WI8dM3EObVM77uxuNG8xr+8OxP5prxYciK8NNa1O2y+Dbw8i6w8Q1plPA/kHz3nS009e+ysvMFYlLyJbFG8VLl+PF6CebwFV3G7WXgxvJko3DwFTM48Lh3+uvtfSbwxEiY9akUDPZw3xjsxU7c8BwQXvbfNIru3HVU7wD5IPIKkEb00fA07qSawPCd9KTtQkJI7y7QHPAFtK7x43w+8qxJ4OwPwkjyPEus8Lle0u6BHkjyq3hI8hy42vNHpdzzJKBG8S9yYvCA13TiE13m96v2PvG5vdLwIs3Q7AaQBPAOCQLwwEG88Bg6RPHibnDyq1Aw7s6BNPKNpuTzJDOW8SS9zvPvw2DrYK028qGGivDASqTxWISS9Mrrau0sSszwxx4i8RVYbOzlxq7ysIT29TyDIu4QeJjwiu4g8NhYBvJ63UbwgOYA8n7KQPaC32jsAsC487SPfO/pggjxOYNW72vcUOx0KYDzDO948j6uSOi4gJTw7xTe7j5yFvP82SDyc5RE8gY/gu89mRzxQh728EK+ju6Z0PLvK+UG7BNOROhVo4Lsndi89pEuBvK7KzbxAjlc8wh+7O5MNbTyX+sS8pbazvLRxlbxuqIu64I9tvIdNAL3Xeou89kqPPJhPxLpNqug3N5UtvVk5c7t8S968zzSNPOScLjwzqIa76yR8PC+rBT3lEkK8FWrGvMxfFjyLItk8L0RVvEqWkLx/Q2M9E3dqPFjgBb1v3xE8O5XUvDVQgjp9ZQK7fLW/vNrzKz25Meq8/7XaPPDYv7yz5yQ78xHiO72XZ7yFKAy8n2cYvXB8rrw2l4U8loJEvUIwbjyTeR892QqEOl4Ovzrrhtc7xwZkvKFjdryPX/66q/DUPBUy6ryuTBG881+wOsAGCrvi+Jw8p+wnPZV86Dyz8yw86HJmPOh3PDx588W89M8APSCMl7m4B1a8ySgJvJtWBj3EPl68hMj8O2MpFjwMZnm8mKrRPC2TG7z6ErY8cWABPaYHLb0hxgE8StuyvAW8Ujvt/Lk7tLnPvHoR1bvW6R09Tc1ZvTvqg7uqky08efGsO+PQlbv+28C7+QiGPO8sODzsfUc9QfGLvPWGwDy6yvq7swcnPG6z9jx/8hI9lpJ4O9bVTLy+ywQ8M0lfu51Pbryy5vm8NZP6PIFFKLwGNhY91ITQvLRvWDyTlye85R3XOnilZTz3e648qrJ7O6VhWTyciUs85QUhvKM7FbxgSiA8wMMdPZqLzjxdwH08w7BnPZgajjzyjrG7ENjOO+G9Hbxe/I48gEaJvOqYArwGZkS6uhL4u4fbVrvEBbo8m58evFCCz7yU262834TpvBT21jw4Zh694RbWOmFKvDymJX68B7sOPQCR9jxqCnk8bRCfvA5unrzFncI73dNbvaUfcLxxbIm9kqE+vM9OijtrwIS7domfPNt/qrw1YnM8jf2BvF5b/bxkeB093LAXPSojvrypuGO8l9j5PMKKZLrKDIw8Fyb2u7D5QL3Ejjs7ZRUFvNe12Lu0Y9K8tBNVOylMZ7wBB4q63kyqPMi7/DtDwgM9dypZPF7PoryLkWk8pviGPPeELj1d7PE6Ao8yvFJcjDzT2MM8CJ9CvKrq6TwhVs+87HaVvDwGkjodnuu80vtSOzWVDrwh8688+KQqvLd4PjwINoe7LxDJvJ9PX7wIZ7i8/eJ3PMUZAzz8P/646I+5OrQLUbxirUS7o+NgOmN0YrnBjGE5MfY+vF3TIbxj+1K8xi6Ku01nYjyvqUw9jH+DPKGaDj34wAC8+IWLO6M4p7pTRX+77v5BvGWQqrwo3Yc8SEocu/lwTzpJjHy80hQvPEKgCDztXXg8uaN2PIR0DjzGSn08Xc2zvIklbjw/t+a77yhFPOyZO7xR5PC7I26tPG1/nLyPnqi8OoHfvMEWQTzNKpw73N8EPZtKg7xk0De6cVv6u8nlezwNBCY6T65evAhoDLvsOtm8jY2bPFeZc7zzjKM6b58PPMIqgjy8NA27TS+VPP32RDyBe1G9jdtwO7Wc6zuycIs7Fd+Wu7L4ET3IQnG70/PgvEgc4byVk7k8F1IBOAWjwLw8cEM8RRIFu4Ssn7yDs8K8wOa+O6BjaLyE8n68BPKUvL5NvTzaagQ7ygkZPAWyp7ympVW8Hv8oO7sC2zyKMTg7S7Y8PGCZq7stbRY9tcbyOuCMfTtleb08sLUDPWThXDy4i468IBf+OnmS9byALom8ts6CvGSYcjvbdkc8yIaRO9FyVjq23SC9Kf2GPHU09TznS4M8tVYpPXS9mLvAoa88b5v9uxU4ejtLCO+83XWBvJfEHjz5m0+7ItC4PKmcCL2riHM6SY5PPA/SizvkY6K7w70EPRp6+rqVeaA52fUwvKAoIby6hmw9C3m/u5746LuvlPA8zJFtvFmeRDzYWGi72HUJPAnQrDuNd/08kKsQvdlZybzNB9W8dLzIPHcNZbyAaRw80Cn0u9FdYTyfCIG8chhHPAp2HzwdG/+87IHbvMdtorz6ZAW80lEGvEb+mDuyJYw6S1/COj9N0TwbFlE7iUyLvNYyuzwlyBo9jXdkPPvc2zwNnda8/7mqPEsAAD0j6je88ygLPZOVPT1t3pU7bbS0OwCiCj1WFss71FaYPDcUXTzVK8Q8zB/TvJDLz7tEwo89i4mavMBnxTzFv9A8+iJovKCwkLyU59g8QAmoO1DZLD2Czy09KkoQPH3JET06p8A79bVJu5BxDT09rEe8zdbfOXqo6zuNZF48JidCvJe6SjxZBzo8ecspvIyFvLuj/om7c9OhvPGtCL1PNUw8XSpzuxrFDzywa5486JINPMBkIb3/3vk8KjHSvMCrxTxn7WG78VruPGMwC71Q35c8bdLMOobdkrlYywQ8WbwsPDNul7ztGrI8m0iEvO1aEr3Q7r28aLy8PFfS6rykYYs842jEvCNPtrwt9a67tZIIPbHosrw3/b82gSj+u3j7ULwyiS48JIFjvNulHT2HSgK9NCooPY07iTzgHQo7/zJIPAcx2jzLyQC9L1vOutKwNjxoh3+6F8RHPKP+ibxHmMG7m5Z6u6WvFryhXGQ6beTyO5xETrxLEPe6iBSSPH9r2DxXQKY8zgqJPPFE2rpETBg6T1A4PMNV6Lkutom7zkNau6m1E73+eji89p3MPCxS2bs2gdI7tseCO4SzUDxfWlw9Z7A3PEsWArxaraA80g1rPMvGfLyOUJ686OKTPDhugzsnkYi8gliau0UpnTzRYuk8rhIxPP9egLzCjQw8r6dJvcfASbt2HOC8fF70PLNfYDy97w+5STmcPKPMSjrc8ae4qlh4vJ8ltjznr4+74vLuvFxM8jzdura8s1MZPFOPLL1YMuq7MSJ3PCcRQjsNWr08Y9uuPNKI1TsUWkm8GWQSPP+zLjvRZBm9sYHqO30quDzR9rm8c/HNPP5XdDzQ1LC843sdPFLNUzw4kTw6f4qnPC/Oq7xRCJA7GcYIOhyom7ycJKw766JwvCxMDrxoAA26vB2yvA/XFj18mKo8f+raO/6S/rvnMUo88wmeOxYFxzqigAE7yBk/PKrCZrxipiK8XywfvZXeDry7AHq8Nbx7vK06m7rwzL28eG5EPOcJh7srTli8te0vvd4TKbvajN88CkEbvOrqXLzaGNg70c0Mu8fl2btjvYe8ZSGPvB/RVzwl3Kk8B5gZPcdlt7z7zN681AUluyyPx7xEWba8lClMOyC6rjuUVEG7OE99vKpeVTzyfkC9WpqjvGtvBbuXyvS7i9mHO1GPOTwjOac4pa3oPDTvnLsPEde8n6oUvDKcsjwuaPc7gQMPPSMANDwSaDq8+BZIPE1UDj062vU8w8i2ug/CFrvOvBy83A1JPdWWL7tbZaq7B6dIPZmg7Dzllli8R0IuPJQr37ra+GY79FgdPPYYobwMR0Q73yuDOgpaWD2xrKo8OY7UvAFqsrz/WGA7clcLPY/zOLyX0AW9fsIovXoerTySn0c7J3jsO1qbHz273om8SB6lvExGdbuu6AA8joCmvI80orv7SQ08GXBOOxzGKzwyRm28nk4SPCF/Rb1uGwm9ISwVvDa44jyHjUA8tOr9upgs1brKT0i8GGRVPFpKp7yfjLk8P0wDvTnq/zyJaIm8YZDuvDZs0buMOZ67qKaFPEJlpjxuTyO88bEdvL9MzbvGois8rFolvNJIxLslDsO8rMijPH1QurtR26A7ZKYjvBSYMDxagX874NMUPLQ2Sr0cER48kLTSu8er3bxe8DQ7ImxbPIgeAb271Qe94G8ju9UKiby6stM7ofkuPfPoJzkjhh09oMSaOmPOLDyL3zW8ILZVvB0A1DysvAI8MeLEPO8XIL1kuds8AnoPPZoyGL2t1oM7QG71u7QfCr08pTa9gkzgvB8ETLsbutM8qzMGvdzIfLw0flc8ogjPPFROoryPl8Y7FGflvC62rLvI6nU7IfQoPckinDzdwqi8NliduwRe+zvr3868pKYEPaDmY7x103m0NIHsvCFp4TypRRm8dWyAPI1h5TwjdA+9TLFKu2uzMTyOvoy76fUrvJodF7szNxe6p2DWutoLyzxJhF28y8KmPFoJU7xKtpa743EMOqBw+jvjZAS9275vuy+rwTqXncS7xX8QuzAuC73n65y8DXXmO2sGAD1XRhi8a+iDvOCaaDu3NRi7YY7HOy1ulblN1yu7aGfpPM2HojuVh3s8BzQSPeIIojwlbI+7Fur8udfMN71TM8w8MA2AvEO+XbvzqxM8hS7vOzUBsTw2FDW8W54mPKZVPrzL/EY8zhk0vDFrmTsx1x88Waj8u0hpBDwrj/G6ClkUvfqfLLtUZJS7un6/vDpfEz3pD7g87MFvPKTuyLxvlSs9q5u8uyA0RD3o3DO99bxVPJ4BBL1SaAQ7d0D1vBjUSzyMTmi82Yxzu5XIPLzinjq8xGTJPKTWMD33UoW8ekesPMKadDwW5Te7BtDuOpZYxTtThoM8KEbavEPSCDzifta8Gj/Ouny7yTvOSOs769ckPY/HETzDvtM7gTbNulsxyzsz+ic8uT/Cu92FqbsDzCk7AGXnux1LzDvK1EQ8Gu66uqpj4rzRWjW992NmPE5HQLtmRSS8Xoy5O29P0TzBM2K8kCglvFw5aLyxgKo8bHyRvPEWuzz6YeQ8i6JxPKr8BDzwBMu8J7TRPJOnVjqXQRo87LsmPZQMgDzh2jo6zyWQvKdjkLuFswE9T+eju5MSQju3CUm7q7WhvHUnDz0fX5m7grATO0HdgTy5cZG808OHvHYiT7wzAzI9/wJHu1L2IrwE5Gq8iakYOt3/BzsruIm8RAUXvEcGNbw3i9Q7OzjXPJEZGjxJsA+8yx1NPLjSIbs2oGS6/Bo3PMZmB71tTIq61Ou2vAqIjjxGZ2O7OHgUvUC4T7xuF6I8wY+JPHkuBLyc+ry8qZeXPApcVDtAhlo8wv8MvLkIiDyTqt+6jkpWvLI6kjyethY99/ZePP648bwXKGG8uQuoOwv5qrxv6bM8hdMnvBm5KbzaZDK8qrakPBKh27vpdnm83HrZOyF+TbrZW0u8PfBrPG4DNrzweXw8EgWBPKS3XTzis488Wh7CvCh4g7t62pM872+TvCFq5DzbecS7Kg7QPOJOFrzWqh+9+1uWPAxUBDwntuK8wWNjPHyCgDyNqi28nD+gO9FzFLyQY7e8pXCwvBTsiLymPng8c1CyO33sfTyxan48TZF2PAqeEz2n4ZU8e0SMvFFK/TsAhTo82TeSOxptFzw4mw68SyFTPCcb6zs2JJo81aFxOWWndzx6Wou8r2EMvd4bZDx0J2684dnWO8Zlyrw29rs8BV+kuwjO7zt9zUG6yfbpO/d3G7vgbJ48v4OXPJqBabjkROM7JFaIvFr1gzznfj+70Da4O8VK17y8dC+9tmsiPQWGpDtR9S+8EbyAu1CFjroEwL+6C8T+vEr3C7zSfBC8noigO+b0kbxgVrq7z0VvO8YGwrs0n4m8b4ypu6ltqLykK5q8nCkaPcdbNjwQ2ou7Dlx5vFau/zs3rJC8iKpsvP9CMjx+Y4u7kuwuPHYB6TwskDe6KbQau7sdPTxClcM5rctBPU0+BL2yJh28LbBFOqMpC7t0U4S8siCRvDo5Mjyu6Vu8PCT1PGX8sjs9um27uJKGvGH5f7tVf+e8dqahvEYnATxN6wy8Pq8nvCFwyjqjfZu8WNp+vCPZ3jz3Chu8YWWTvBI+QzyD52A8z2wbPdquQbxqxLU8bp6AvOyPRjoGhUu7KlI3POhTCL0T0hM9L9rvvKu/s7qm8rI8+5j8PGSo1rt25Mg7ZKC9vJRgo7vlDAu9q38hvXreALwf6Am9mxjfO8LzybwLiZo8CXMevYl9hDy8p588wioAvTeWeDwKgdu8VETNvJG2qjveYws9+ceOvI4KXjxyiDo7jM3UvMv6r7t0JvY7LD1mOo9jFrwGOqK8PsGtOnL2K7y9J508l/eNvDjF5bxuRpu7msQ1vFIwdrwESJu8W2dKPOzqQ7wzb6i6rz+wO5lIwLx3R167PgwGvE5IQrxcJq+7iIFCPa41Ej3cc488b3DbO1EQn7xcm4w8rIu+PHPR9DtR0o08S7gqPEvzNDzTXR884vM3PAiBjrzPHWK8KZD2Oh5gtDz89tY8V4H1OztbZbsrQ2+8qILOPHh+pDyoz428K9E4PMiFqjp9DJy8ygTuvMBwXrtZYb87JaKNO48ghbzcgv28MJwivR6CpLthWa670b7Fu9l29jtX+iY6ynHXOw9GKj08oLy7FKQBPS0sA7zPyj66ksiGvJuOt7yDwjs9CqNFuglRgryYz1Q9ixZRO0VmrrzIO3I8NqbiOwr2Dzy2Ja67f4bfu0QdODw4g7i7+46TPNzVHjycCoY7kGHfPAk37zpmyuq8PW89PcFxUbz9Axe7rH7VPLbSk7zmw3k7WVwavDWzKry5sW88F1aEPMwED7x3BDG7fXIyPKbIITxf5qY7BbRUO+aocbyHFJC8E8fDPKK2OD1oEx48kfbwux17jzjpl/m8leq8PFywlzzpOkK9+TFFuzKyBbszo1a8fahIugtXjjozl6c8q0fUPNzxtTxdhsy6xp0kPOhOeLtmn4O6dUWTPHdpVrxeUqW7A7uxvAJRhjucAjs6k5QuvJTC1by1NHG8mZNHPODjDTwNVq28oYibvKjf+zy1LI48nDksOjGAbzxC9DA9/isKvNUZdrxr/rO8L4kUvDBnjDycq4a7P9GVuxI8a7wkuN07aYrFPHgRgLybbhu8RNW6O8zrmby22RA8oYXhvN2qTDoATbq8GuHyPHqsQjz2Xp27/R2huoAdIDxu6Kq6j2qEPG0DErxN0zm7QKrXO8dZLzw/r3O8weg3vVdOgDvHv8O8MERPOtAhOTu/Nb48kBWGPA4cUrwUJAu92VvNvPpkPj2N35e7bpAPPUyy87pSKaI8te3ZO88rLrsQGei8ny96PLP2d7zNpcY85MPPPEVPgTvPWxE80l4/vTNPfrw4u+s7O8EBPOrML7uVqYE7xRQBvWCOGTzl1Bi96PEoPKSgory94B69E0GvPCCB6rv7T8Q8B/g9u8ZnY7xwmZ28kz4qvBn/urylxcu8XzGxPHEvjLw5ulO8bg/FujWdlDjzt7m8Gi+RPIfbfzzuXqi8+0jgO8LaGrxth5i7BerTvMRRubw5taE8uFQOvRdQLb0y1IU7Y5z3uRoG7zwnZR09awP0PAciCzwGLZC8lcJ2vBGZibwKJra8LSePvJc7azwjZmq6cqtKPOR5jrw9h4g8/oKtPCw2vbxeQim80GyPPMSil7xp+zW8qsvzPKo8yjyPYyW88Q46O76FwDxqyJC87TVgvOf7ET1n/Fe81OPNPHEj9rykP1C7vdTQuu7JB720tKk8GQaDPA7gELsvNSQ8TwmnvBqgcLwb2uU7pJnku2b1tzy6sbG85j5QPRGGmTtC9x69gkiaPLm+2Lsunl27WgEHPaDQgDum7Ba9ik8WO/CrNzzxjr87Q69oPG45irveYsY8HznGPOmQ9bzssuY6+IBaPG5uIL2mwLo8WIV+PMTkwbzC2hC9Nt0ZO0aDP7zqFoO8bMnAu0Vl9rv80uK8D8VxvL4wOrwwKNu8J9XmvC3xwDsOYoG8BWlhvBtb2Tx4hK06QtWuvK8ddLtm5UE8iP0VPGeHgDu3Dmq8n+GfPBR1yrw9xcu8umy/O8s1NrxS1g465gyAu0CDbjy4yfk8YmowvMvFurzVYLe6DSncvH9KqTvic3C6SI0/PUp65bzd1Ce9bP7iPC9NWby9ZYy86x2zO7+C6zzzfau8VgnOO3AoDDwZfkO90bq6u2E5EbzaXhm7hHMQPPfzzbwTYwQ9K0XTvOybyjsn2q67JOjjvHRrvrutrLG8vU67PHlp6jzTTMM8fNKoPCfVAbwVJhY8IqtOu0U6GjzsQjq7+Zn/O0vGgTxE8fw7abOvu+tJeTumIt48WTokPVVn4DshnWq8m/iauViVsDtsN8o8gm4rO5vNorwDBw29B6souilPvrt01iE89UY7vAXbWjpDIzO82U6/vDS39Dycj3k5dTlcu+nXaLwEBTu8rb5pvOQDybwAOpI8pIsuPOOiWLsPZ9E8yKCWu1ZKpjy8kik7UyryubCEWTzRkwC9B5r0vL6h0LsMmxm8NIYPvQ9+L7xthKM8lygIPEjE4bt/ad+8MVzNu02F07yRC588FDh8OxJ6wrzvICi8zf1tu4ABorx+ikW99CcRO+bRiLxvl6A7fS5nPB9Jp7vYjYM9nrvKPFJGpTzvRSm8+sFgvLmykDz48nY8EfkHPMrm/zw8Qea70+MWvCd1vDpv9aQ7BIYKPN4RhLy6dds6ihbLO1Q4bbxzKg89jeVyvJ7TuLzD9VC89OIrvDpqdrzjpSI8cRBrvHE6MD3jURq8n7gFvSS7urx++CQ8k9koOyV0TDx54/m7R9nRvItl0DufO5W8MBpmO/g45rqI+sK6/Hc1vQlVPbxXr547X2kkvXfcujxNSbU8KgEmvO+3tDyhEAo8ip5oPJDokbvqfpC8uB07vbOjWbwnCd264APWuunFm7xsTfq8Mv9XvFM5RDwQdgS9ahj1O69nX7xgKwM9aQPZvD0f1zzkjoI8mmzSPEbBGzz2pRK9dBhNO1nR2Ty6XMw7tz4gPIC1jLyDmZK8ScAnu8VHq7xzHdS8kAnLvIdCLrwDnw69xBezPDZPQDxCL0i8WtdBPNQGAzqSa7M7fJA5PN36zTqDHtw78Zu+ux8+OzwvLNc8ZiJBvdGQ+DorVkK8t5h3vKWmtDvXbXU8PwpMO6L7L7zQG+48Iu5DPBABtrzpT4A8QBQUvFmJo7wPcII88xwZPMr/+jtXApg7QX/mOw/ujDzJdj24NL5aOWRXnDvAMZQ8izKqO2kfvLzp7JC6zv2GOAFEiruqdt+7N4Y0Ob30Gz2Lp8U77uKUvJp8abzd5To6jIKXPL4z/7vAv009gnvIvK8MdbtCj0285/rDvF2MSrze4/m8ZNYJO2hRWjykFzC6F1eWvCTykTtvz3S6WsImPTK+uzzs1qu6+CLnPM+iBTwHCb+8+ju3u7l0f7yGt6w8Jn8wPEiugrpUALk6s35XvAeylTxdYau8JCVFPUgz07k2Y5M7wT7NO4HtGb2KLQ89l9yNvMRT9zxwBFy7YAomvKyblzwSHU083WViPEoPobxvNMc8rkmIPIel3Lqym3C8KrODPAFKETzDvLQ8bJ+hu17xeDxdwRy9f84BPE/5Aj2kSLC8NAeTvFEj3bt5b1W8cq0JPdRkUTwe17Y8bYfAvHkkCLwv6WE6NV81u9voyzsVwC88eKWyO326VbwwoMI8OLaCO5YD/rmnCIk8EUwnvLLzgLywKcu7nmrtPHkPtzzqO1A8AEwaPPnMhzzklJQ7T56KvPKVrjygaA28W+73u7aobDsJp8U7G74EPBSTfzkNkz48ZSntvKX4Azw/Nru7StT3vKXwMzsOZIK81WnXu4BG7rswIYm8fa2tvLT+e7zrhJK59n03vFbwXjxskpw88NaJu/AOkjzOGpA82ToEPKCbvrxFYec8urHePMjILTucaYw89xZ4u7Ditjvrrps7sZdIPILkvjwHWLA7M23nu672fLs0cou86oFtPJmFBDw5Ajc8X+0XvN4gPTwsCQy8oUMlPM3EkTzSfSm73NjvvNgu/Ly0w3I6SzXkPA==
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 109
+ total_tokens: 109
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '92'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Introduction paragraph
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_format_for_agent_output.yaml b/tests/cassettes/test_context_enhancement/test_format_for_agent_output.yaml
new file mode 100644
index 00000000..16efeb76
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_format_for_agent_output.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '406'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Introduction paragraph.
+ - |-
+ Employee Data
+ Name, 1 = Age. Name, 2 = City. Alice Smith, 1 = 30. Alice Smith, 2
+ - |-
+ Employee Data
+ = New York. Bob Johnson, 1 = 25. Bob Johnson, 2 = Los Angeles. Charlie Brown, 1 =
+ - |-
+ Employee Data
+ 35. Charlie Brown, 2 = Chicago. Diana Ross, 1 = 28. Diana Ross, 2 = Miami
+ - |-
+ Employee Data
+ Conclusion paragraph.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: b7g1tpycFb1MPRs9orTUPLzPH7casYI9JgZhPU7PeTu64ZM8o2rku1wUHTwS/z49iwYeO+bHXjz9Cko9FZ53O1//dz1fBB28BeCfPGfYYjp4ug+7Zx4+PJ4dOj0Vppm8GwnxvGyiYbxJu8y8ccqtPPEvXbxF3Co9LpkXPION9LwEI4u7OC7MvJqmBjsPpjC81F4gOp4NhjvP8rg8aPKivF2jTbsG9WC8q/goPJDfNbqqkbC7vbO3vEf2LjsB7BU9NQhBu0y9/rzPjoS6mi8uOrlcor06bdi7SIZ5u1ybBz1oxbs8On3FuJiFWbwDadI7/4dsO59F6bsaxPM8myjVvDmCEryPfJa8cNSePJJq7LzHKTk7InWAvKRy5rxTg+o7qxWOvKm76rpROYS8wwCEvKwoBrv2A+I6FF99PLy+pTwcLfa8WCaZOR+zA7xVQUc8Z9KXPF3yjjsnREO88WvGuk1k27wJLz28YWvpO0DXUDx2jRC8hrxcPEk/0Tmh+tq7q+1uu7Znk7x0dXk7QdQgPFo9zrtaqKu76ySkPEtFrbuSkk28bbSpvB55hrwwqwM84XmoOtIrGTzhZO07aZdRu9aUMT3F0pO8I968PD1VmLz7fSW72dNqPQWGdjyQ6Qq8wc9Fu0KugjwhWtO7bkEcPIkpU7qfB7y7ckMHvKVBg7sMWZI8gNkkug1YOz3OKhi7tHHEvDWQFDvUkPy84DMUuqA7RTws30M8jFhXO9KQyDvq9Li7z8ErPFsDAzz/7g89FJfUu00HB7rwY7u84a4+vHLKnzx951O6ZlOaPHHvvzti0qu7OCi3PAaT/7qogME8CALAOz1QuzxrqJ07/LVFPKmbhzpgIBo8Hk4pvIMIPD20Apw6tPhSPKCBAzzvx8W70BdBvBVp5Lp7fHW7ornku+Jhjrs7sl+8t4SzuhqxQzpqFhO8o+Luuu2NrLyLZW67M+w1vLRtfzwNFlC8z27sO1r9vjxbpZG8Wp0JvHsrwbtv04o8sBgZPNwREDpy/JO8TRo0uuMKj7qR7Lm7+PeXvMSulLupz0S80TCFPEeTujvog4o88668vNrq0LwR5kI8cW6GvE+iRLokFwW86dcXvNn6mjsl/iW8wUmdu9T3zrvJF/a7Ii8rOzsSTDymvvQ5GvmjvGBbTrx6PNU8aSD+PFKVtDuhL348cIiovInEAzv2Q6i7xgQxO81zbzvVvSO8AdfIu3J8GDn2ZqY8I7X0PMPVtbyKWGC7rOrHO/qOAjyCX7a8RPsTO7qoLTwNLNi8RCxePBSaHbyPuoq6bTB2vHeY5bsaRnm8gCCRPGcb47zBZ6Y8eV9mvRoYpjxnwEY8crjVPA3BZbyhIKU8VeJrvNDmsTtQaiW95wItPMlNrDxFhVS85RukvESWMrtz3lG7bXcdu/HZDjwktT281UTZu7BiCTwNMug8REsQvcJZnDx+X1c8jgZuvP7wELylLWS8UZm5Oy2B87rDmMA7YYoPPd15NbwC4Tg83hndPOhz0jyRnZy6Jl+tvOMT5DynDYE8wC1ivLTw5LxzBUY7jzXWutbACzy+8tu77T0ouvWiEz0SvJ48PGCTu3f+UTuWPQg8fr92vGh3ubsiKgM5XIdDPfvA07tmhuU8Uaypuycy4LnkrCU9gkWMvCQQq7yYTwi8iR8zvHRPgDyB6l08S+mqvP3MUrw2g767gPTju2wA8jvxWUY8yjGZvOy8yLwQy7W8q3yBvBtJFjyxTyu7MxgVPcujHb2buGU8jogUPXTcAD0MoTK9LbvDu9PtOTzdXYE8X+iTvJXZoTzhNLM8ugV/OgvKtbtFgdc8vCWzvDDSAz1GPaK9FCuqO4gbw7tVnaY7OM89vb0JOzxKduU7YDP9u90ArTtr1Aa81mW7vEY3djuhpBq7dVfEvMltTzxdV2Q8hjmXO7+OAj30bg87egPUu5htPrt+CP28zfOyueCzBTxM12a71R2HO/vVozsa5AQ8UT8MPW1OBLwurxK9rwjou8V97DxdY8W7OwSAvMgYUTlF6NM8GuUgO1x2q7za9X0840iqvPgqOTxe1co5UkHOPPllGDzgYbI8E/P6OjuElzzTVOq7oIsUPCytML2wdFs84yaUuj64QrpaDhE9XHglPKanHz2xu1+9M97NvIJNrrzv/C+6TxMpOiW82ryNYwq8PykfPFFOOLzdpLk8Oq1iPAWhZjztAeQ8Jf4hPA2veDt4GnC82spUvO3D3Lx9/iA8w03Du32dj7xZ0fK8rOOjvI2vFLxhaDM86MqMPFnnAz3CpQM9ZmJWvFB10jx0a1g8m3PdPGY3vDyqQ6Y8xT69vNFXcju9ans86ghmuxNzdzuF98w8k3SuvEwmgTzQbL482eU0vOlN/DxTgPs8ijmfPP4myTxpKeq8ztnSu17wHz03ttk7ItKUvKqtNbwMOPU8R8coO/WRdbwvro+8/jMLPW32e70FWhu8cQvKPHRql7xZGIG8jEbvvFkNvbzwxHA8uD3Zuhu87Tw1+2o6g0oSvKBYNTwmOZi6MUINvRLnMj3R43M70WC+uoHKhrvuxBw9rYnVPOFdqzx9IAY8WHCWPDRPmbzJC+I8RZaSPLTq2zpmyvW8sUqPvL9FCz082r28HqcTvfvg6Lt+Fjw84hmkPCtUAj3L5xW9E494vDQ/N7zrlMo8hD2QvJCxTrwJYz686HRYOtu2rDz45BW9IN+Yu9vky7yTRMQ89ZalPD1rezyBfb08Xx4OvU4HBTzzKKs7K+fcuyILJ7zBFSw9i4oUu0+AW7wOMSK9ZU6SvFi3JrtsFFy7w1NbPFDfOD1n/my7DjVHPGDJojt/BIo78gxAPIWm5zzk2jM8wyAkPDtEArxc9Ow7lPM7PIBZobwsC848agaTO9AXqzx3Vcu7DmTdO32xJD3MWKO85IyYPK0o5jstjVe9SA0mPfZftTo6tIu8e0paO/EvobyzXqg8gTFJuzFKsbwqR7A8V0C0PAZCzjyJxbO7eGUCvYyLgrvnDo08s2kcuiVU5zw+CAO8Z+qyvEagYrwBaYY7pg7BvD8tvTxBsq88H3uqvBIDDj0aZSY8hvO3vE5hs7suHIs8hMxgOxTJsDqvqjQ9Rk0mvWzpv7xgZ507rxd1vHMCnrt7mei7FhLjO+gGHjzXlak8kPqdOmgO+jmMdUk8/MBMPJMDc7wo2zS815ZZvO7Flrz6nXo7VnWBO3B6y7zFxQO8/u5APUqV07zNL4k7HxYfu1BNvjwuDwa9+J8bPTyskbxQb9A8+cIOvB35FrxdLwE9hQMbvA8jlLwxe1K8HQ1kvK6cpLzjus+8I7VBPKz4k7ukNZC7zcnPOW7ICb39Yow7Lug6vfLOPDr0F4Y7mb3ku2/s7TpHWwc9+lwMvTUXjjvsWYm715WAvVI/s7uzKCK7bvTDuwgAY7zDodg8m6f/PPypdj0zhmw9vYFgvA6/NLzzg2K7r+EBvbOhHTthW7i7XdtDO83Ckru0A4u7bHjEOyZovrxN3oU8dtMjvcpnuzxTnn87+9Ziuos05LvNrOQ7oH4KPa6RVTuzye27YccEvZIdHT1PQh89yu4LuoCY+rsrauE8MI+kO7ex9ru2xgm7PBRFvbF4pTxGAPi7F9wEPfY1sryxiSq8BRzIPJ0l2TwmNno8L/HzPN4eebxD/os815ZfvOrUizwhSD892aYMPBd1mjuSovW8Uhm9PGKP4rsJPbU7L05JvFQMhzuhPxK9q2/dvBWf1DuoDTM7szmpPCqjGzylOLg8liX1O7JzyzzxwsI86kfkutPmvzxWAdc8hm9PO+ZAhLuKGXO8qXrUPH1XXjxxk7a8WIWzu7pm2jxBwDe4oHM8vKxiODwoaD872Sw5u+Bt2rtfxJW73xEuvAzgnLoYSN87z65fPcyhKTscfrs8PuOqPLPLaT08VDy7Jp+cPGCEerxkZj08bf6SvG86FL0idac7XcRKvFivMLpN6sY8QCRDPAeOiTqddLK8DmTnus8cJT25LNU8ijHLPL8EUzw1sMI7P6k5vHkxkLwcPWE8K9+0u3zswDvg5Mc73C6RvMZMVbs4hFA85JYju+AaObyQpNW6UUraO2O4cbyxDwM8BDkyvVarCDzS5Q+8czkrPFXWZTzLcX48UX1iPZk5erxkXsm8NoogvfqjCDrEARq70ZQZu19boLwlmA49wH7FOwGerLt2TUk8sNS0vMw6TzpKIcI58IeuvHH0yTyie4c8Q32AvM2cX7wWrmu6MCYdvOnMwbiXl5E6KPeEvFOoqrzFa8O7EW18vAXhBb3vYEU9NCE8O6fCrbyXcvW8HUIKvG02Eru2mcg80WOpucXzjbxnvUa8R3xePA2XD73YUow8vWEFPbN/aTxpEG88JB+bPPWh+Dw9Y4Y7U1vXubn9GTwhr5w62gGWvLrT1jwrK0G8ERCnPMgtLTreFei8k/Q1PL9h0LwGPRc9ttqVPNtqLb1T9NE84JWYvKqhkrtRiR+9A72PO2QANLxzglw91TX6OzGWQDwhpcY6+28LvLhKNDtdGCK9UceQOooJOjwLi0M99NH+Ox3E+7qMlJG89TEgPeRpQTsiPJK7hL7jPOQMtLzMprA81gd2u9ZHBTwiF2a8biKgvEUWX7xMSy093YIFveUsW7omAam5ceASvGIfnDyIXbw7ohWyPMwFADz+b6I6iVnWPI9r67vrnRK98qzLO1Wmxjw0HLG7VsDzO6IvgzwuHDe8YU+4u1ljAjyWPhQ9/rukuqsrnDzxilO8QipIPAyvEDwVHBk93WUOPYUlAjtlL3K8lMzyuwkgYTs0NgW9CIxpvPRybjoOVuW7MwUCPdjkhDxxB6y79pqLvI4mWLxxZUC8W6e8vFQwNr3O3Dm8ne2cPNSsGDyjIYG8hGXOPIzHl7ynDVK7UDLCu7cOx7ygLHo8vMOvPEoB9rw5w3O8u3akO+UbCL0ZjjG8aRzJvAkujb0FLfI72ryLvD0ygTy6faG7Rfq7u3HygDz5x4S8nZw1vPqYPD3460w9XowYPE6TFr266Cy8sEGJvPhNfz15XrE7t30TPGMu3jy/QxU8RUHPvLuwUzxdEJy7zUpou+/ck7xzbGI7qR8WPZ1Ydbx0wI48AGM5vUNpIjuXl4W89RKruwloPDnYnlu8sAYevNTZcjxdmoC8O/hDPMkGHrwZNMY8F5E1ujEzNDzRX5u8AByNvPC4iLuBVsY6aNrhux1sFbzt4ZA8i0UKPeka/zxy+Mk77J8/vGCqDzzgDwC8lmwdPC6gkrrujQm8ZOMYu0u6yLuRhrk8rgsBvOELLjwFTB48iWSGPO2umDtO0QM9wfxHvVAS6TwDAjy8ffLRPK2m2jtZkyk9TBHAPAWp3juFPBE9A1lTvYNe57vsJ7A691Q3vDa2jTsuziA8HcLJvIxYhrzyC8i7qybfOxRn37xlwP+7n0gQPBfDKjzmSh48ZkqcuhDM7rxIj/08kM9BvAK7Bz1TyfK8ofekO8vhw7xd3/w6h+DwuyUaR7sXD+88mrkqvNIKdrwE9Z28yNCwOw/Ir7yBPOQ6CcifvKYuDLzHtrq8h1CLPPVBJjyHAYW8esEgvDiDZDnEfEW8D9MFPAsrJ70pYGG7d0mVPOyTqzwsMEc87m+gPDs2ITtAICw8V9JMOZUvBjuaL5Q8iqynPIhfijsw2BG96PazuiLJPzup5KE8VjUJOr9VjLy1ih08FT/JPDrUKrygayU8YLc4vNFIcru7Wzu8ndO1O0eVTrxSAJg8HDbDuo1FWDx+Ope8yQpevEsn8DsASZi87kEAPNYJ1Tzgal475fb1PG3stLsjkxe8huYju4vKbLx1oPA5fffTu+diGDsXC0U9OzJ2PAIEFzszVae7R0IMPHT/07q9iI+7yo6TO/dQ/TxEQ+U8RQDkvB6urTwknwS9Q77oPKq82ru1F9A6t/jGvLxwnTyVxAS8sIFwPP6tYTtG+Eu8p428unLO9bwgVEI8ZzsfvRCQETy6e0i8WJWMOyYcBz2qGry6cbTBuppBXzyzDA89SwPWO2dg1jz3GeO8IlynPFrb7LteOVA8U2vPPBisGj2x/Z46vJsAvfqrBDyiYmE8V01kO9oOBbznS4g82czQvJqQ6zvkgME5DfLrvPzrATws/1s9dwAYPJ+HurwEOcY8WEVcPGwY1jwh6aA8PQqbPMLMrjy8Lik7fj2PPMS98Ty6/wA73K42u8C4hLyFryY9AYwZPG5uFrshMA477OxbO3n67TtHbty8uvaoO/9WlbyVpw09+NBYug3N4Lsrxr48xzEavFvXxrscga47bJIUvdjGeDzDa3e7ilQsPQTnULzGhSK8TssMPQWjmjwGT8e8Fqh7vKQ7gDxjh+Y8iEZGvHXJyLyNKY28YxLRPCs+jrysnZm8jSRzOza5BbwpOZE8RnraOwBfgjqRHAK8fi2lvDutlrx1DeA84Fv7uwmaQT0QCj08yaShO2vZgzplZjY83A9CPA74tjzsrca8HBdhOr5JFT3RSGm8928IPVpCDjxZoRG8GtWQPI5ECj3JahS8eOzsu6Pgnbjq17w8o+zBPA80ozygzd07LQmVO/tBcLud/ps8ffTXPP/rR7znD7M7IbRNuyvfBb1K8ZI8Nq6zuxyPTrs6goo83iiXuzrw0bxbW289MgwFPTGK9rxTRQE8TJe9ukZQlryxO8S8yFpzvAu1zDz+dQ68O60UO+BAkbzXv4g77++UOl8TBbwhVng8LyFQvLsyn7ysYrG8CVwkPRQoATxpHoa8MwTdPKlCNry81Rc8d0DBuwN2xTxOqkQ8LDyEPLHVNj1fFJE8qqkFvFd+37yAmQa96hruOw4jdbxkuvU7F02JPLUVR7sKfqM8NdsGu1HGQDtyaTi8hiLVOwR7AjuQmre8GYUuPFjE4jya8iU8bNGFPOkPLjuMtji69GmZPPRYpjthweS7hJ2OvIhmxLv9V7c7GMGPPEO5VDrBVJk8ppnYvEDrEzzDDvo8HNzKOzT9WbwPJ5A8iVCsPCRqC7xeQF48aO0dPSpx6LtpKry8P00LvT1F8zpqbSG7xEkDPflZRry3pIG8Q/plvG9/0zzP/dC87AauvJHPC7zZvTc8i6aNuzO5Frwv3dU8ReZTvGwUnDsOhsa8U9DEu6Ud4jyXpoQ7zIXSPBVU/ztAkk+9bPTmvAtLobxJvb88gUCzvMbXrTwezPO7NValu89Z/TvX/L28TXeYPPXIuDyDXzA8rhhRvO+atbwl4PI7xhrCPG+SFTxlgzK8Kn0Tu9fHxDzLcQW8incMPECUlzxiLP67ctgVu97GNj36sMc8lOC9vCRQQTxi2JA8q1nQu0SNDLywgEQ9yDQUPR9tAD3CzT87oaqcPLBTtDzjZK07+w2TPAYqZbzVAKU6POZNOzt2OT02QB48gckMvfx+lryPtRO8uUZfPLy2MzzM86i8RjbXvMr4FDurNAk9I4OXOumBxDzzUaa8ih9GvGlCdbu9Dng5/qLtvDX9u7xTqxw8bW+cPEaQs7ou2cC7bltHO/2YyrzT+r68mCLPvEHW4jxFxCq8M2ISO/KamrzSxaQ72MrJuz9gQLsZk0c7MRV1vNapWzxHNbO8svSfvP4ZCrrsttQ8cbB0Ok4imDzGJ7e6Zi17vN834bs+aLO7Z9c/vPynCb3RiZG8yVzvulyVFDxpAAU8B1rhujZagrsP/5w8VjZ6vBrYH702x/85DdzZvA0W9rxPWk48pOyYPK+/ZLy+Yp05lkmEPKjP6rw43RY8NmsxPPRojzsI/wE9Z24aO1jbA7pieN06dPIQO0er9TtnH6S8xzyqPLmchbw1VqU7hjVjPcEaAb1XCKS8ZnkrPKqEubyChhm9C9n3O6OT3but6Ec8kK6gvJYwErxr9q071MUiPcDam7rfY5k892OcvMPAjzzyRKK6fqoOvBNcsDydD+W8fhSGu7XF/rsCKI67QbZkPHzKlzxkE9y7m02YvNg3pLl3Voe8goLeOzQcFLzjGSS9wQSavH8apDwOhA68IIz+up3rIDwPqxc9dr+fO3+ucTvJ8rm8vBRVOyuQpLyx2o26hYxDvL2LOzyWcke87kAZuw2tPTwGEZ288oAru1bbI7z+i5K7TAPaO3OpVzyvob86zKRkvKwu6ztU+Ym81xpUPfAI37x0+oU8yksbPOSXL7xBIek8SFmePAuUjDypIyE81pOWOoNkfrszI947rlsHvbHAHLhBPze8qw7TO/ZuGT1l6KC7ciwCPbRd2LsIZ4U7vcKcPDrepzz9Z0w9QjwpvDTrCLxHoeS8PrjHO5N0PTwFmcW7upXrvNujlzubsDK84O1pPKLZQzwKaFq6atIBO96PmTyqQtS8sy0vPNRHwTys0UY7lIt1uwT/+TrBTNu76GbMOu5YGztqte27r58KPMRRUT2SyJG842MoPK8NnDmg9rs8m4oRPPpTMT0AT0U85YcuvH6Ul7wq4R08LO84PH5VW7z3ebk8qOOhO5bCDz0vEBe78YSbPGIBtzqNxLs7CH/mvDi2k7xaxM87Y8H1Oz36cjyQgic749FeOxcIgbw0rg29To+jO/uH0DsmdN87G05ku+RdbDt+BfC8tZ41vESUn7vpe7k6RbNYPGGomrttrLs8PwKdPPR1JbzQIg29lB8oPcxYpTxWEYG7J77oPJefijuggAE8g8kovWuoDjzB3vY83AMsPJoGijvW0ao7SE0hvT4ZDjybQM+8mZqYvE4k2TsCxiO9Rp8CPKvkArxiWxw9e06VvJdu2rzebRC7vql1O2zTJTyscB+9vdUDPG4W17soNaA8aMk9PDB78jyEkOo8DDt1PODxjTyf+o08Pc0BvO6e/LZWKDu8/iONvCvnf7x1G7273R8rvNxshbzHY5+8N1x5PFNxFztn0768mcQ5ujQrHjrP6yA81w6mvLwCDDxgWhi78LbMvEY7jztfxRi8QqCDPPCOszxr/H46y2qHPJlkEbwZcDO7+tIUPKpLpbxNxo67Okg4vIiBLbyf4/W8DJtqPE+8rruI66I8LggYvJeJ2zzBMfc7YMqius/zCD1/nok8LCoCvZFbvDxNNmQ7NKodvEI6IT1zYx+8WhqFPGs8dDwe30y8v/exOwirpzymLDO9hoEtO4RTnTnTsRC9Aw3dPFoZ9zxK8To8iArxvAxcpbz7/zo8230CvVx2EDwy3UO8FbZXvOLD5zvCYAq8QeaBvN7mdbwHC108E50HPBU4kDx7axS8GesIPQc5WjttB+A85O2DvNPcYTy+3l68wZ2vvJif+7vkDXw7ITQLPBr4nryb5lA9slTAu+/oiDuHaaM8hQ0uvDDz57yxR528TEvEPA/VrrtOq008slW9O80LeThzg7871YPsuUPC2zsjLcu8Lqg5vEbaDj3EQZi8NHwXPM87vjvV2iM8jw6KvSZa8LyaIDW7CVUdPAOz7Lw5HAS9/017vF6roLzsR5g7AjHCPEq+Hz3Ia0q7jUmBPFvmqLt5H1u8k6cgvFQNsTyTBTu8el7vvFXvn7zfQZe8/Jk4PeWikDxbshm8vh1qO5jsOTyUbJ88CqvKPCEem7yc7YO8amyxPOMLFj1PpMs7IfQfvRfcnrvGJde8phLuuqjMyDzkMPw8HlNWvCZmHb13VqM7qs8gvRcNtTxre6U8PvaVvLMNzrzVLhK92XYivIAjqzzpbhY8nROivMYHtDtg67A8zC0AOgk/2Lz5xHs8qyRkvHqVtbwCPrm8MgzTOmtKZbuJtRY9u4KTvFc22rt7CXo7REOdPNKdg7yywho7dq2rvBWdXLrW4Qq9jS4svaeVLjxiSUC8WB0IPBUjYrxFpSA8i0nvvHBmgjviFxg8XbGmvFctlju1wMW8J/LMvMR9wLzWDfo8qsTyvL1Nqzxz7Qa8o5Yqu2sKkztvGKc7uDIQvB3vCby4WfK8TySrvNxtyTtU5Ke8GlMxPLxwerxHJPc89SS9vK584DuvlkY89myyO4XXBrwaJsI8IGfWOzVIO7yRpq28J+jkOfMV1Tu8PZW8oZZMPDABgbxjCd87Je7XPFg58DtPG6M8/W7ZPD/mGD370yI6pHfBPMz8RbwgzgE86aM4vK5HV7xEG/68SOvCPKXqsTzKirk84mWDO4+iRLwWyaW7TtnWPK/Cwzwid828XA/OPA4LZ7xh+XW6lqsLvEd9q7z6Wus7+RSsO36fEjx9Xqk793Y2vLM2fTyTeIa63MZHOwmOYbxL1OA7WuqxO4S+Hj27nIc8NzIjPMANJL399pU6WB8JvfRXLLxyuuM8r/MHPHriwLx3jA09MEb0u8ldtLxmT/M8zNQBu3XIDTwWEFy8Gm81PJE4lrumJJ08v1FwPKEIDTy6uX07X6lZu3rO7byJt5o5x1EFPKY7j7rA4EK89STPOzpmIb0DXyq8AFrfvLnUQLw+1u66ADHPvINufDzNT3q75wJSPPrFPLyJ7rS6rZiHu6XW1LtMUIG8k5kwPWCZ/Lrhcyq7pajIvLQdKL0Ysru861/Pu+kxwjzWaJO8S2QJvRUl77yqV1G8ajISPDjfwDob8Dk8hRJXPLv7AjtIEV+6YpAgOx1MJbwR+m28ftskPb39kbx64YG8ejrpvBpZ/jzXTSK7r2AZPdYUgrp54tq7//0HPZNbDz13Vcm71KNOPGJRarzGSQs7fYC3PPK7fjxUgj89Hk3XukJ6iDtrvqq8Fz9VvI2nbjwG7lM7Rac3u6uJhLwh9Yw8vmglPdW7z7zHVZk73gDcPPx3L712bpI80FEju/p7/7sBJv+8Pf1hOxcoy7wd3Be8LP2APKq2nrx3uJu8bpAzPZY757x0yZC7A3seO0+EN7x8gja64l93PMyNRjwJ5F27ljY/O/C/qjxqZRQ9IRq3PFYHmztwRoq9tLy3vNu7sDvc8J288sIOvPde17tr4Lg8jQGiPPjDbLwxyyK7306rPMCcXTrvHB080xMoPd26vztr8Wk8vlUevZ1H3roJe0g8MbW/PJGPkDz5uiK94U4Kve0AbzwrgVy8H/PJunSXu7u56Cq9b1agvEM3qbz9w+y8Tkqnu7EbdTubCfy5nwSWvJ7wYTuKS/07rQeZPImfLb0/mpa86VmbvDzJ0Lstt+e8x27MvHb41LrG8t8772BavDbcXTy9D2M7BsgEvF0CJ7waXJo8bX2IvAHj5rwsoyO71gC3uzaUjzxjxXE8AnPFPK+Dmzzs5RW8xRECvMoeSTzsHeu8FTfDu0w6j7yQvy+8O3bsOiBUHT1GOtc8hja1ujDFWTyredG747dNvGjLFbwTwkW92hwFPQD41Dy8ADG8XxuGPOIRozwVCvy704YRvC6Q9bxk5h29ZptvPJ+c3LzFU/O8SMHvOARIN71PTaw7rCs6PYsHgDwFJEs8int5OtolcLwCkgW7cL7WujYKejwK0mC9g5AKPeVvN7wPd4i8LLFKO3oXQ7y7SDC9ZCJoPIkcL7yRud+8/ZFdvZNHnTzn2Bi612MxPKJiarohnCg8Fza+OyKDxrwWB68841ziPDJhYbw0Hpq8Mt4dPdM7I70sq6a7g02FunLJ+zrdA5w7AWprPEOx3Lo4szW8xjXnvKwtITqUrTW9QW5sOnCyDry9Ntw7ihRevCXQ6Dwz1uE79vn+vDlq1juKje25LYdVPFTCtTx3NY+8QTZFPWe1EDsuU3M7ODGGPDSqUTvCDyq8RgZDvLzBZz2BrzQ8MqQPPBYELrzCGZc8PrnqOygbx7ygKSa8jusrPcgASb3fm1+90Ka0vFArBrwDUkw7mL1UvAiWwTzfNmC9FYh7vKnZiLw7rga9kemHuzUrhzqhITk8F/iIvBe9zrwTuN8778y7vAADMj1Fyh08Vo8BvCr7Fbzjriy8IAemO/l9vDtU0g49prA6vEp4mLyLvim8Aw33O6nv9DyT9Cw7mQs/O1jDrjwW1vs7CamGPBvTs7y3zYU8CA9xPLasILyuQ7k55EkEPLvZc7pXOHK8eMpKPFqUabyxSsK781lMO7SrJrsIpOw7dP0jPBbnBT1XNW08BrKXvNmjoDxgWlq8MT9+vKU3UjwFQmC7Ko1zPF5ZlzxfUHY8GffYvM5biTvIJY08YsydvHj86zvT+rU85IoPvaOmDT1nrz69oidsvL4j2ryxO168L3DKvGQFqjzLM5u7ChtaPEMZzryS+7a7Gh4FvfFDGb0XvgU9xzPMvK3cjjzuoLC81kU/O+MagLvnBIC8vePzu2TiUDwT2dE7d9IuPXWZHTyRg7k850AlPR4diLzNhG+8N3beuzlheTxqGRA7x6bYPB3vOD3M8qY8vsGRO6EL27uyhqU7wWAUPOHC6btLaXY7lKKXvGv2DryYOJs7grNfvF3oQ7xlqSW7+cUevCEbmLsCeOM64hsPvXivJDx7elk8ts+JvDgvX7sjYgo7C2PEOxGOszw5ep28qM0zvBmNIT0wsJ68h62KvPTEw7vaFwC92D3GvF0zE73nDho8TPYevWwtezyOyVk9WlhwPFqb4zwUxOM89zhzPOthwbvp7R673NdHvHrlPD2fE+M8vpVGO6j3krzcLzW8PpEzPMDIvTuaG1K8IgcxPNJ1obyJD8s8791qOeT7MbxA5ke70qLmPFtzIjwtB5a8ZP8MOg3kajyIuXQ8QiupvJcFEzs+uKM7SZILPPaEsbxoRCi8qxuAPI1KqzzMKje9BHgPPPDNazweP/C8hOSbu86XBL0mzo88XaWPPEJO9LtAhNQ8AwKzvBkPuDs0yvQ8YXDPu1exjjzwWxa9HS2yvNbDOTxLGxo9Bbn2PB5nAr2FWgE8V6iyOhcmY7yKlJ+6wBMevFoDErwZkgE9JZlNPGn3CrwauRc9/BldvKTpoTxU0Ry6vtOYu4q2NTsWCLQ8V+COvGnPUzzHGEc8iA/pu4cVkzscj528Umk3O8HBrDwzf148Mb8zvEDnyLw18RA7bYd9u/5GGzyo46Y8PccOuzuHJb201Kw7MOyIPGMI9DvdtKO8/YLiO/YatTs1Z2O8888RO43/kLwJpb+84HXMPAi+GDwkI5M5o6AJvDfy6ru1IUw8iayGPNEhCb0OKqS6P+A0vF9aYLwGdrS3OTOQvPVvCD3Gaae7P3QhPRusCTztYwy8t68FvUL/Xrsgmoc8ErLmu13BsDs7SEG8zLovvOP9sjwZcyM7t7KxPMvFGzo2HLI8OyGXPHe4ejwWvUW8Zx3yOzEwDLx4ZMo6MDKrOy3wezyiJCe9KeVyvEIvejxK+pM82FWMvDIUD7xKiE88EVnAPOC+A7z8fFE7wPkBvF6AgLzzJ0u8zmPSvOrHwzyXDiu8ZfUOvXzoETzp1es8ttrOu9TIRrwhSng8QRW9uyGiuzvjswa8lCvuPLjQx7s0t5w79Qm5OhhDK7q0no27Ozl1u6mrjjqjx0o79SV6OyTOIT3wDj08K4CbPBngBDpU0mo8dg2XvN2xCTwnKow7W/qwu4041LyqqAw7qwV1PPZNorydbxq8lXwuvKAukjyVF8I6AB+cOpN1zDzDAtI8OJ8DvJhnFzxaqpo8H/yQuzOEv7t+lmc8SCC4OzUY8rvX8ow8IglbvNfo+Dza78I8XJ+fuyhcIT0/f2u85NLOPKuDPLyKmlu8IDjSu8Q9wDz4Sbu88vCfuwzX5TymZ8C8iFJvvCKBfjz/C8C8BzmBvBBUxLxzZ/o7+ooFOg==
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: XM3Quf+JMDp+aq48VJLyPGAmC7stHG89h98mPepGPTwlcFI86ZFdvDSwmbz95j89v6YFPKlblbwLZIo8AeA9vcF6yjzlrP48kG1bPZ3AK7s25Pu7lwCdPBI5/zw0N3a8R4/AuwqBGL0uqL+8Q/ktO4V+nTwByAQ95LBjPFomLL2GBGI8In6gu6eBVjt0M4O8+ie4vPt/qrsHVpU8CXHju0DBVDxAUZi8NwKbu15Tvzug7KQ7x3cgPT+XEDv2rDo8w369O38BzbwWV9A71rsHuxWSYb0j1Yu86sodPVmF2zsv5z49DrmROza5tLzny3u8SfBXOmVn0DqKUFa8M4osvPnOBry/c5+8RTxbPMNnsLzkb9m6Amnpu7XiZbv4G+s6sUdKO5RFiTxynvK7HVCMvOYjwbsCRH089GK5PDPfBDzxD9i7gn3MuzooGzu1K4k8VKYfPY0wCTxFn2C87LMbvCuzGb3x50Y8CTVmPAgvDL2gxWi65P7nPNBawLt7Lpi7riN9vJtPILwtt8G7REK/O5przjssUAa8HiYHvJW27rwwT9u5wEevvM8EkLvYOz07ZszKO6lAYTyHVyC79hpEO0yBTbwK+VU7Oi2Ru3jNirxuEMW823sVPRlnfDwYuD48Vj2EvAd0wDzciMI7DuPeOwY2hDo0fxE8bRuWuz9Kn7wOEZg7t1TvO2suv7srCze8lNa1vFhq7LtgE9a8IyAqPElutbtAd2Y8IKjLvBimcjxmyHK6xIerPN6QhjzX4lk8k99NvHkWCjyYHzK6hlW5PCS3UzwI48u7qe5LPPTc9TvJNs86unCrPCrrODtXOdE8Gs1Zu7zMzDzH6lQ8NSCUPLcBpTsZZJc8SzsuvdMUCLydyfI7fCIGO2rUfzxSDUA89NVlvAbztbwEYwS8mkXFOprd7Lx/EcC89+ibvDMqzLs3Mpu7leeovAyi+bxFsPa7ksk2vID/CDw4rMQ8gbOYO/SpUjyXtHi8V6EtvJMZZruzge06QSG8PMoFo7t1dl+8+EOCO8mICjrS/Ki7Jk0VvWiotjvb/Q+7/WajvD53hzugD488XNwVuYrzJD1dYQe8zkOpuzIWIrswiUY72+u6u5GrhzwD41q8n/RMOsYtWzz5S5S7aE23u5wiYrjzR1A886XyvKmkgry96PQ8RWslPZ5IiTvhEY05c3Sjus9++juCJNy8u1SNOnErIbyOwT87n7ZWOks7XbsrTjs9cMSWPPMr0rzZ1B87rJgSPEgzDDzYhim7f+Pqu8bqVjtkdwi9yi0JPQZclzugTT+72N13OxUaALwIFT28s6/CO57sprySTlC8rojWvHNuVbwSC5U82/CTPCV8+bsUVRa94SQlPKzlpbzCUV887iLXPEMB5Dw/25875bNnvQhPk7zs5xG6QPmCvB2/C7xJRO889YdovHAUVrwHZK+7k/uePNC4KTzEzJy8u25RPNjClzwJNCu872U0PGWcIjzu14+6lCnaPL+o1bxCRfQ8piT9PLzWQjxilr+8l8IZPBmQYbySHz48WnrlvIWVp7oahoc8uJjsvFXXgTz98E68bji5OyJUAj0BgzQ83c9KvLoxN7zeVME6cBORu2yNkLs3L887U/MevAxI/rsMZCa8isUQPAAiXTyTnG09BaTZuzDHh7xrCvQ7nglqPKFuE7wVDrA6nOBzvGAlEbyzh4Y8lzECvZ3sqbyugXW8jxFUvfR+Or04tJi8v9MrvV6/kzz9UUs8HcZ2PPdGVjwynSI8Wxe7PLil5DvfS2S9gHIxvInjqzuDW7u7Y0TKu1YyND2mqiQ8MrXgO7KY6rxD0hk8nk5LuzU+Cz18KwS9jGRVvKvJYTxu7kM8fZwJvQC6Ij1Maw+8jXm4uyY9vrxecK+89D0+vJNo2DyAcMm888WEvOh7TTzhZcw8itNgvFhURDxF5o07KUYLPGz9I70Iu/G84ZSQvMsb3Tx4WS29Y7CWvIOOGzxxhx489byTO5oFL7ulvtq8EAcjPOH8KT0KEfi8a2WJOoy+gLz6hws8C4TpPG0V8LwC19o7DIsavZb0vDnPGEO8GlEsPNjOxTybklM7WvO7vPKgj7z5Bhm8J7thPADrQTys1T49g9wSujt0EzxE9fA8SwG8vOInT7wTk+q8QwexvFSItrxJHAK88+pNvLv0hbzdhRQ7U6ibPOHdEbysKro7TWJNPONC+DtDr2M74VmevB6KSbtiOlk8DJGVvIRcVDxNlJE8FMrquyRSy7y14KC8ExTUvCTlhDzIsvw7pO+vOxNDOjzNZYG8EoclvHYdqTwuAUA8XtD6O8KdHD2ivSu7BTvqPJUaCrst4Wc67Iq8POgwCr3lbU49AtMwvArT4rqu6BU92ZrMvB3DT7zZQtA7dNYvPCBZLDriPjy9oLV6vMrbHDsW7A+8iq3UvFYiXzzvDc488HqWu9lSDLyL4B+9Gs6LPLQwzr25r5o8A4ZDvOmaorwSKym9p1cGvWE6AL04r/C7E9gFPRPSazzsOCq7qcZZO/s4GbxFJee8w3CfO+c87zwiA6S8DB+2vFgXYbu+BH48EVkNPeGMeTyTNzM9hou3OytDaLzpavg8bJAJPaxBZjxRqae8nfUBvPNVED3xI8O8cCXdvIy9qzvevYQ8FZ8TPewtKTwefdq8lTpcvEL1sbypN4w8e+e0u4bRDLydAbS83vmSvI8aBzwo8pE8/PMFvPu2GDztwOc8LhqJPJa0rTzUK388OB7BvFtYdzwvqla8h/z0vIpSprzTVUu74V7oO6lJw7v0DbA8wEzzvPQCsDuqGtO8hNrWO+QDObuhO8y8VL4RvP9rZTy4Lzi8k5utPFmCDb33q8Q8lBU9vEQpvTtlYuQ8+0InPdE5k7us+F+8Lah6vMxJ3ruAR945EkaavMA0gjzsybG8QlaIPKu7W7wkSDO9YOm8PCiAnzwZeTy5ipADPSLJ0byJmxs7P0hDOsQkG71fvzu8YWWVPMyw77lCKcM8ZAWru0iUMj05zeA8ds4WPEt/CLqA64E8zLfmO+a1Ar0ZA0M7jPKsvKHblDwBK0g4PZkzO1uQhDwSD4q862mLvE8ebjyu6hi9GBqSPHyl2jpYiOM8+l/UvAM6HruoQ+s5r6fcvKzR17x5q/a7fcQbPaneTruawcK87FuuPOOUzbx+6VU8X4mUPFHvD72eQVA7B9iyO/sWGrz8KFc8OUk+PXPva70eJK076tekPLakjbxE/Lu6JjMNu19JFz1juE48fzdZPJlnmbyhCim7xXQcvLjlEDwViKY8SyyYPFtnk7y3DKS8kKafPNnfyrxdnaY8bviwPGaLRb3YCZw8jyOvPHCa8rza8yy9baM1vQO4SzuggCk7+Ha8u190nTquDwo9rLIDOz06kjyeW/C8WB1UvZv3l7wnZSS8omARvZ4fOjwc/cM8tNf3PEDFXDvRres82U2PvCHpDr1H9WI8dM3EObVM77uxuNG8xr+8OxP5prxYciK8NNa1O2y+Dbw8i6w8Q1plPA/kHz3nS009e+ysvMFYlLyJbFG8VLl+PF6CebwFV3G7WXgxvJko3DwFTM48Lh3+uvtfSbwxEiY9akUDPZw3xjsxU7c8BwQXvbfNIru3HVU7wD5IPIKkEb00fA07qSawPCd9KTtQkJI7y7QHPAFtK7x43w+8qxJ4OwPwkjyPEus8Lle0u6BHkjyq3hI8hy42vNHpdzzJKBG8S9yYvCA13TiE13m96v2PvG5vdLwIs3Q7AaQBPAOCQLwwEG88Bg6RPHibnDyq1Aw7s6BNPKNpuTzJDOW8SS9zvPvw2DrYK028qGGivDASqTxWISS9Mrrau0sSszwxx4i8RVYbOzlxq7ysIT29TyDIu4QeJjwiu4g8NhYBvJ63UbwgOYA8n7KQPaC32jsAsC487SPfO/pggjxOYNW72vcUOx0KYDzDO948j6uSOi4gJTw7xTe7j5yFvP82SDyc5RE8gY/gu89mRzxQh728EK+ju6Z0PLvK+UG7BNOROhVo4Lsndi89pEuBvK7KzbxAjlc8wh+7O5MNbTyX+sS8pbazvLRxlbxuqIu64I9tvIdNAL3Xeou89kqPPJhPxLpNqug3N5UtvVk5c7t8S968zzSNPOScLjwzqIa76yR8PC+rBT3lEkK8FWrGvMxfFjyLItk8L0RVvEqWkLx/Q2M9E3dqPFjgBb1v3xE8O5XUvDVQgjp9ZQK7fLW/vNrzKz25Meq8/7XaPPDYv7yz5yQ78xHiO72XZ7yFKAy8n2cYvXB8rrw2l4U8loJEvUIwbjyTeR892QqEOl4Ovzrrhtc7xwZkvKFjdryPX/66q/DUPBUy6ryuTBG881+wOsAGCrvi+Jw8p+wnPZV86Dyz8yw86HJmPOh3PDx588W89M8APSCMl7m4B1a8ySgJvJtWBj3EPl68hMj8O2MpFjwMZnm8mKrRPC2TG7z6ErY8cWABPaYHLb0hxgE8StuyvAW8Ujvt/Lk7tLnPvHoR1bvW6R09Tc1ZvTvqg7uqky08efGsO+PQlbv+28C7+QiGPO8sODzsfUc9QfGLvPWGwDy6yvq7swcnPG6z9jx/8hI9lpJ4O9bVTLy+ywQ8M0lfu51Pbryy5vm8NZP6PIFFKLwGNhY91ITQvLRvWDyTlye85R3XOnilZTz3e648qrJ7O6VhWTyciUs85QUhvKM7FbxgSiA8wMMdPZqLzjxdwH08w7BnPZgajjzyjrG7ENjOO+G9Hbxe/I48gEaJvOqYArwGZkS6uhL4u4fbVrvEBbo8m58evFCCz7yU262834TpvBT21jw4Zh694RbWOmFKvDymJX68B7sOPQCR9jxqCnk8bRCfvA5unrzFncI73dNbvaUfcLxxbIm9kqE+vM9OijtrwIS7domfPNt/qrw1YnM8jf2BvF5b/bxkeB093LAXPSojvrypuGO8l9j5PMKKZLrKDIw8Fyb2u7D5QL3Ejjs7ZRUFvNe12Lu0Y9K8tBNVOylMZ7wBB4q63kyqPMi7/DtDwgM9dypZPF7PoryLkWk8pviGPPeELj1d7PE6Ao8yvFJcjDzT2MM8CJ9CvKrq6TwhVs+87HaVvDwGkjodnuu80vtSOzWVDrwh8688+KQqvLd4PjwINoe7LxDJvJ9PX7wIZ7i8/eJ3PMUZAzz8P/646I+5OrQLUbxirUS7o+NgOmN0YrnBjGE5MfY+vF3TIbxj+1K8xi6Ku01nYjyvqUw9jH+DPKGaDj34wAC8+IWLO6M4p7pTRX+77v5BvGWQqrwo3Yc8SEocu/lwTzpJjHy80hQvPEKgCDztXXg8uaN2PIR0DjzGSn08Xc2zvIklbjw/t+a77yhFPOyZO7xR5PC7I26tPG1/nLyPnqi8OoHfvMEWQTzNKpw73N8EPZtKg7xk0De6cVv6u8nlezwNBCY6T65evAhoDLvsOtm8jY2bPFeZc7zzjKM6b58PPMIqgjy8NA27TS+VPP32RDyBe1G9jdtwO7Wc6zuycIs7Fd+Wu7L4ET3IQnG70/PgvEgc4byVk7k8F1IBOAWjwLw8cEM8RRIFu4Ssn7yDs8K8wOa+O6BjaLyE8n68BPKUvL5NvTzaagQ7ygkZPAWyp7ympVW8Hv8oO7sC2zyKMTg7S7Y8PGCZq7stbRY9tcbyOuCMfTtleb08sLUDPWThXDy4i468IBf+OnmS9byALom8ts6CvGSYcjvbdkc8yIaRO9FyVjq23SC9Kf2GPHU09TznS4M8tVYpPXS9mLvAoa88b5v9uxU4ejtLCO+83XWBvJfEHjz5m0+7ItC4PKmcCL2riHM6SY5PPA/SizvkY6K7w70EPRp6+rqVeaA52fUwvKAoIby6hmw9C3m/u5746LuvlPA8zJFtvFmeRDzYWGi72HUJPAnQrDuNd/08kKsQvdlZybzNB9W8dLzIPHcNZbyAaRw80Cn0u9FdYTyfCIG8chhHPAp2HzwdG/+87IHbvMdtorz6ZAW80lEGvEb+mDuyJYw6S1/COj9N0TwbFlE7iUyLvNYyuzwlyBo9jXdkPPvc2zwNnda8/7mqPEsAAD0j6je88ygLPZOVPT1t3pU7bbS0OwCiCj1WFss71FaYPDcUXTzVK8Q8zB/TvJDLz7tEwo89i4mavMBnxTzFv9A8+iJovKCwkLyU59g8QAmoO1DZLD2Czy09KkoQPH3JET06p8A79bVJu5BxDT09rEe8zdbfOXqo6zuNZF48JidCvJe6SjxZBzo8ecspvIyFvLuj/om7c9OhvPGtCL1PNUw8XSpzuxrFDzywa5486JINPMBkIb3/3vk8KjHSvMCrxTxn7WG78VruPGMwC71Q35c8bdLMOobdkrlYywQ8WbwsPDNul7ztGrI8m0iEvO1aEr3Q7r28aLy8PFfS6rykYYs842jEvCNPtrwt9a67tZIIPbHosrw3/b82gSj+u3j7ULwyiS48JIFjvNulHT2HSgK9NCooPY07iTzgHQo7/zJIPAcx2jzLyQC9L1vOutKwNjxoh3+6F8RHPKP+ibxHmMG7m5Z6u6WvFryhXGQ6beTyO5xETrxLEPe6iBSSPH9r2DxXQKY8zgqJPPFE2rpETBg6T1A4PMNV6Lkutom7zkNau6m1E73+eji89p3MPCxS2bs2gdI7tseCO4SzUDxfWlw9Z7A3PEsWArxaraA80g1rPMvGfLyOUJ686OKTPDhugzsnkYi8gliau0UpnTzRYuk8rhIxPP9egLzCjQw8r6dJvcfASbt2HOC8fF70PLNfYDy97w+5STmcPKPMSjrc8ae4qlh4vJ8ltjznr4+74vLuvFxM8jzdura8s1MZPFOPLL1YMuq7MSJ3PCcRQjsNWr08Y9uuPNKI1TsUWkm8GWQSPP+zLjvRZBm9sYHqO30quDzR9rm8c/HNPP5XdDzQ1LC843sdPFLNUzw4kTw6f4qnPC/Oq7xRCJA7GcYIOhyom7ycJKw766JwvCxMDrxoAA26vB2yvA/XFj18mKo8f+raO/6S/rvnMUo88wmeOxYFxzqigAE7yBk/PKrCZrxipiK8XywfvZXeDry7AHq8Nbx7vK06m7rwzL28eG5EPOcJh7srTli8te0vvd4TKbvajN88CkEbvOrqXLzaGNg70c0Mu8fl2btjvYe8ZSGPvB/RVzwl3Kk8B5gZPcdlt7z7zN681AUluyyPx7xEWba8lClMOyC6rjuUVEG7OE99vKpeVTzyfkC9WpqjvGtvBbuXyvS7i9mHO1GPOTwjOac4pa3oPDTvnLsPEde8n6oUvDKcsjwuaPc7gQMPPSMANDwSaDq8+BZIPE1UDj062vU8w8i2ug/CFrvOvBy83A1JPdWWL7tbZaq7B6dIPZmg7Dzllli8R0IuPJQr37ra+GY79FgdPPYYobwMR0Q73yuDOgpaWD2xrKo8OY7UvAFqsrz/WGA7clcLPY/zOLyX0AW9fsIovXoerTySn0c7J3jsO1qbHz273om8SB6lvExGdbuu6AA8joCmvI80orv7SQ08GXBOOxzGKzwyRm28nk4SPCF/Rb1uGwm9ISwVvDa44jyHjUA8tOr9upgs1brKT0i8GGRVPFpKp7yfjLk8P0wDvTnq/zyJaIm8YZDuvDZs0buMOZ67qKaFPEJlpjxuTyO88bEdvL9MzbvGois8rFolvNJIxLslDsO8rMijPH1QurtR26A7ZKYjvBSYMDxagX874NMUPLQ2Sr0cER48kLTSu8er3bxe8DQ7ImxbPIgeAb271Qe94G8ju9UKiby6stM7ofkuPfPoJzkjhh09oMSaOmPOLDyL3zW8ILZVvB0A1DysvAI8MeLEPO8XIL1kuds8AnoPPZoyGL2t1oM7QG71u7QfCr08pTa9gkzgvB8ETLsbutM8qzMGvdzIfLw0flc8ogjPPFROoryPl8Y7FGflvC62rLvI6nU7IfQoPckinDzdwqi8NliduwRe+zvr3868pKYEPaDmY7x103m0NIHsvCFp4TypRRm8dWyAPI1h5TwjdA+9TLFKu2uzMTyOvoy76fUrvJodF7szNxe6p2DWutoLyzxJhF28y8KmPFoJU7xKtpa743EMOqBw+jvjZAS9275vuy+rwTqXncS7xX8QuzAuC73n65y8DXXmO2sGAD1XRhi8a+iDvOCaaDu3NRi7YY7HOy1ulblN1yu7aGfpPM2HojuVh3s8BzQSPeIIojwlbI+7Fur8udfMN71TM8w8MA2AvEO+XbvzqxM8hS7vOzUBsTw2FDW8W54mPKZVPrzL/EY8zhk0vDFrmTsx1x88Waj8u0hpBDwrj/G6ClkUvfqfLLtUZJS7un6/vDpfEz3pD7g87MFvPKTuyLxvlSs9q5u8uyA0RD3o3DO99bxVPJ4BBL1SaAQ7d0D1vBjUSzyMTmi82Yxzu5XIPLzinjq8xGTJPKTWMD33UoW8ekesPMKadDwW5Te7BtDuOpZYxTtThoM8KEbavEPSCDzifta8Gj/Ouny7yTvOSOs769ckPY/HETzDvtM7gTbNulsxyzsz+ic8uT/Cu92FqbsDzCk7AGXnux1LzDvK1EQ8Gu66uqpj4rzRWjW992NmPE5HQLtmRSS8Xoy5O29P0TzBM2K8kCglvFw5aLyxgKo8bHyRvPEWuzz6YeQ8i6JxPKr8BDzwBMu8J7TRPJOnVjqXQRo87LsmPZQMgDzh2jo6zyWQvKdjkLuFswE9T+eju5MSQju3CUm7q7WhvHUnDz0fX5m7grATO0HdgTy5cZG808OHvHYiT7wzAzI9/wJHu1L2IrwE5Gq8iakYOt3/BzsruIm8RAUXvEcGNbw3i9Q7OzjXPJEZGjxJsA+8yx1NPLjSIbs2oGS6/Bo3PMZmB71tTIq61Ou2vAqIjjxGZ2O7OHgUvUC4T7xuF6I8wY+JPHkuBLyc+ry8qZeXPApcVDtAhlo8wv8MvLkIiDyTqt+6jkpWvLI6kjyethY99/ZePP648bwXKGG8uQuoOwv5qrxv6bM8hdMnvBm5KbzaZDK8qrakPBKh27vpdnm83HrZOyF+TbrZW0u8PfBrPG4DNrzweXw8EgWBPKS3XTzis488Wh7CvCh4g7t62pM872+TvCFq5DzbecS7Kg7QPOJOFrzWqh+9+1uWPAxUBDwntuK8wWNjPHyCgDyNqi28nD+gO9FzFLyQY7e8pXCwvBTsiLymPng8c1CyO33sfTyxan48TZF2PAqeEz2n4ZU8e0SMvFFK/TsAhTo82TeSOxptFzw4mw68SyFTPCcb6zs2JJo81aFxOWWndzx6Wou8r2EMvd4bZDx0J2684dnWO8Zlyrw29rs8BV+kuwjO7zt9zUG6yfbpO/d3G7vgbJ48v4OXPJqBabjkROM7JFaIvFr1gzznfj+70Da4O8VK17y8dC+9tmsiPQWGpDtR9S+8EbyAu1CFjroEwL+6C8T+vEr3C7zSfBC8noigO+b0kbxgVrq7z0VvO8YGwrs0n4m8b4ypu6ltqLykK5q8nCkaPcdbNjwQ2ou7Dlx5vFau/zs3rJC8iKpsvP9CMjx+Y4u7kuwuPHYB6TwskDe6KbQau7sdPTxClcM5rctBPU0+BL2yJh28LbBFOqMpC7t0U4S8siCRvDo5Mjyu6Vu8PCT1PGX8sjs9um27uJKGvGH5f7tVf+e8dqahvEYnATxN6wy8Pq8nvCFwyjqjfZu8WNp+vCPZ3jz3Chu8YWWTvBI+QzyD52A8z2wbPdquQbxqxLU8bp6AvOyPRjoGhUu7KlI3POhTCL0T0hM9L9rvvKu/s7qm8rI8+5j8PGSo1rt25Mg7ZKC9vJRgo7vlDAu9q38hvXreALwf6Am9mxjfO8LzybwLiZo8CXMevYl9hDy8p588wioAvTeWeDwKgdu8VETNvJG2qjveYws9+ceOvI4KXjxyiDo7jM3UvMv6r7t0JvY7LD1mOo9jFrwGOqK8PsGtOnL2K7y9J508l/eNvDjF5bxuRpu7msQ1vFIwdrwESJu8W2dKPOzqQ7wzb6i6rz+wO5lIwLx3R167PgwGvE5IQrxcJq+7iIFCPa41Ej3cc488b3DbO1EQn7xcm4w8rIu+PHPR9DtR0o08S7gqPEvzNDzTXR884vM3PAiBjrzPHWK8KZD2Oh5gtDz89tY8V4H1OztbZbsrQ2+8qILOPHh+pDyoz428K9E4PMiFqjp9DJy8ygTuvMBwXrtZYb87JaKNO48ghbzcgv28MJwivR6CpLthWa670b7Fu9l29jtX+iY6ynHXOw9GKj08oLy7FKQBPS0sA7zPyj66ksiGvJuOt7yDwjs9CqNFuglRgryYz1Q9ixZRO0VmrrzIO3I8NqbiOwr2Dzy2Ja67f4bfu0QdODw4g7i7+46TPNzVHjycCoY7kGHfPAk37zpmyuq8PW89PcFxUbz9Axe7rH7VPLbSk7zmw3k7WVwavDWzKry5sW88F1aEPMwED7x3BDG7fXIyPKbIITxf5qY7BbRUO+aocbyHFJC8E8fDPKK2OD1oEx48kfbwux17jzjpl/m8leq8PFywlzzpOkK9+TFFuzKyBbszo1a8fahIugtXjjozl6c8q0fUPNzxtTxdhsy6xp0kPOhOeLtmn4O6dUWTPHdpVrxeUqW7A7uxvAJRhjucAjs6k5QuvJTC1by1NHG8mZNHPODjDTwNVq28oYibvKjf+zy1LI48nDksOjGAbzxC9DA9/isKvNUZdrxr/rO8L4kUvDBnjDycq4a7P9GVuxI8a7wkuN07aYrFPHgRgLybbhu8RNW6O8zrmby22RA8oYXhvN2qTDoATbq8GuHyPHqsQjz2Xp27/R2huoAdIDxu6Kq6j2qEPG0DErxN0zm7QKrXO8dZLzw/r3O8weg3vVdOgDvHv8O8MERPOtAhOTu/Nb48kBWGPA4cUrwUJAu92VvNvPpkPj2N35e7bpAPPUyy87pSKaI8te3ZO88rLrsQGei8ny96PLP2d7zNpcY85MPPPEVPgTvPWxE80l4/vTNPfrw4u+s7O8EBPOrML7uVqYE7xRQBvWCOGTzl1Bi96PEoPKSgory94B69E0GvPCCB6rv7T8Q8B/g9u8ZnY7xwmZ28kz4qvBn/urylxcu8XzGxPHEvjLw5ulO8bg/FujWdlDjzt7m8Gi+RPIfbfzzuXqi8+0jgO8LaGrxth5i7BerTvMRRubw5taE8uFQOvRdQLb0y1IU7Y5z3uRoG7zwnZR09awP0PAciCzwGLZC8lcJ2vBGZibwKJra8LSePvJc7azwjZmq6cqtKPOR5jrw9h4g8/oKtPCw2vbxeQim80GyPPMSil7xp+zW8qsvzPKo8yjyPYyW88Q46O76FwDxqyJC87TVgvOf7ET1n/Fe81OPNPHEj9rykP1C7vdTQuu7JB720tKk8GQaDPA7gELsvNSQ8TwmnvBqgcLwb2uU7pJnku2b1tzy6sbG85j5QPRGGmTtC9x69gkiaPLm+2Lsunl27WgEHPaDQgDum7Ba9ik8WO/CrNzzxjr87Q69oPG45irveYsY8HznGPOmQ9bzssuY6+IBaPG5uIL2mwLo8WIV+PMTkwbzC2hC9Nt0ZO0aDP7zqFoO8bMnAu0Vl9rv80uK8D8VxvL4wOrwwKNu8J9XmvC3xwDsOYoG8BWlhvBtb2Tx4hK06QtWuvK8ddLtm5UE8iP0VPGeHgDu3Dmq8n+GfPBR1yrw9xcu8umy/O8s1NrxS1g465gyAu0CDbjy4yfk8YmowvMvFurzVYLe6DSncvH9KqTvic3C6SI0/PUp65bzd1Ce9bP7iPC9NWby9ZYy86x2zO7+C6zzzfau8VgnOO3AoDDwZfkO90bq6u2E5EbzaXhm7hHMQPPfzzbwTYwQ9K0XTvOybyjsn2q67JOjjvHRrvrutrLG8vU67PHlp6jzTTMM8fNKoPCfVAbwVJhY8IqtOu0U6GjzsQjq7+Zn/O0vGgTxE8fw7abOvu+tJeTumIt48WTokPVVn4DshnWq8m/iauViVsDtsN8o8gm4rO5vNorwDBw29B6souilPvrt01iE89UY7vAXbWjpDIzO82U6/vDS39Dycj3k5dTlcu+nXaLwEBTu8rb5pvOQDybwAOpI8pIsuPOOiWLsPZ9E8yKCWu1ZKpjy8kik7UyryubCEWTzRkwC9B5r0vL6h0LsMmxm8NIYPvQ9+L7xthKM8lygIPEjE4bt/ad+8MVzNu02F07yRC588FDh8OxJ6wrzvICi8zf1tu4ABorx+ikW99CcRO+bRiLxvl6A7fS5nPB9Jp7vYjYM9nrvKPFJGpTzvRSm8+sFgvLmykDz48nY8EfkHPMrm/zw8Qea70+MWvCd1vDpv9aQ7BIYKPN4RhLy6dds6ihbLO1Q4bbxzKg89jeVyvJ7TuLzD9VC89OIrvDpqdrzjpSI8cRBrvHE6MD3jURq8n7gFvSS7urx++CQ8k9koOyV0TDx54/m7R9nRvItl0DufO5W8MBpmO/g45rqI+sK6/Hc1vQlVPbxXr547X2kkvXfcujxNSbU8KgEmvO+3tDyhEAo8ip5oPJDokbvqfpC8uB07vbOjWbwnCd264APWuunFm7xsTfq8Mv9XvFM5RDwQdgS9ahj1O69nX7xgKwM9aQPZvD0f1zzkjoI8mmzSPEbBGzz2pRK9dBhNO1nR2Ty6XMw7tz4gPIC1jLyDmZK8ScAnu8VHq7xzHdS8kAnLvIdCLrwDnw69xBezPDZPQDxCL0i8WtdBPNQGAzqSa7M7fJA5PN36zTqDHtw78Zu+ux8+OzwvLNc8ZiJBvdGQ+DorVkK8t5h3vKWmtDvXbXU8PwpMO6L7L7zQG+48Iu5DPBABtrzpT4A8QBQUvFmJo7wPcII88xwZPMr/+jtXApg7QX/mOw/ujDzJdj24NL5aOWRXnDvAMZQ8izKqO2kfvLzp7JC6zv2GOAFEiruqdt+7N4Y0Ob30Gz2Lp8U77uKUvJp8abzd5To6jIKXPL4z/7vAv009gnvIvK8MdbtCj0285/rDvF2MSrze4/m8ZNYJO2hRWjykFzC6F1eWvCTykTtvz3S6WsImPTK+uzzs1qu6+CLnPM+iBTwHCb+8+ju3u7l0f7yGt6w8Jn8wPEiugrpUALk6s35XvAeylTxdYau8JCVFPUgz07k2Y5M7wT7NO4HtGb2KLQ89l9yNvMRT9zxwBFy7YAomvKyblzwSHU083WViPEoPobxvNMc8rkmIPIel3Lqym3C8KrODPAFKETzDvLQ8bJ+hu17xeDxdwRy9f84BPE/5Aj2kSLC8NAeTvFEj3bt5b1W8cq0JPdRkUTwe17Y8bYfAvHkkCLwv6WE6NV81u9voyzsVwC88eKWyO326VbwwoMI8OLaCO5YD/rmnCIk8EUwnvLLzgLywKcu7nmrtPHkPtzzqO1A8AEwaPPnMhzzklJQ7T56KvPKVrjygaA28W+73u7aobDsJp8U7G74EPBSTfzkNkz48ZSntvKX4Azw/Nru7StT3vKXwMzsOZIK81WnXu4BG7rswIYm8fa2tvLT+e7zrhJK59n03vFbwXjxskpw88NaJu/AOkjzOGpA82ToEPKCbvrxFYec8urHePMjILTucaYw89xZ4u7Ditjvrrps7sZdIPILkvjwHWLA7M23nu672fLs0cou86oFtPJmFBDw5Ajc8X+0XvN4gPTwsCQy8oUMlPM3EkTzSfSm73NjvvNgu/Ly0w3I6SzXkPA==
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 109
+ total_tokens: 109
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '95'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Alice Smith employee data
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_list_expansion_includes_split_items.yaml b/tests/cassettes/test_context_enhancement/test_list_expansion_includes_split_items.yaml
new file mode 100644
index 00000000..cb23ef12
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_list_expansion_includes_split_items.yaml
@@ -0,0 +1,92 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '293'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Shopping list for the week:
+ - Fresh organic apples from the farmers market
+ - Ripe yellow bananas for smoothies
+ - Valencia oranges for fresh juice
+ - |-
+ - Seedless red grapes as healthy snack
+ Remember to bring reusable bags.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 47
+ total_tokens: 47
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '90'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - grapes healthy snack
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_max_items_limit_caps_expansion.yaml b/tests/cassettes/test_context_enhancement/test_max_items_limit_caps_expansion.yaml
new file mode 100644
index 00000000..e47f8397
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_max_items_limit_caps_expansion.yaml
@@ -0,0 +1,92 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '293'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Shopping list for the week:
+ - Fresh organic apples from the farmers market
+ - Ripe yellow bananas for smoothies
+ - Valencia oranges for fresh juice
+ - |-
+ - Seedless red grapes as healthy snack
+ Remember to bring reusable bags.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 47
+ total_tokens: 47
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '76'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - grapes
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_table_expansion_includes_split_rows.yaml b/tests/cassettes/test_context_enhancement/test_table_expansion_includes_split_rows.yaml
new file mode 100644
index 00000000..a8df2c08
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_table_expansion_includes_split_rows.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '406'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Introduction paragraph.
+ - |-
+ Employee Data
+ Name, 1 = Age. Name, 2 = City. Alice Smith, 1 = 30. Alice Smith, 2
+ - |-
+ Employee Data
+ = New York. Bob Johnson, 1 = 25. Bob Johnson, 2 = Los Angeles. Charlie Brown, 1 =
+ - |-
+ Employee Data
+ 35. Charlie Brown, 2 = Chicago. Diana Ross, 1 = 28. Diana Ross, 2 = Miami
+ - |-
+ Employee Data
+ Conclusion paragraph.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: ISKPOJmgTr34ST89+lIwPTjUWjkRpZM8K1qQPPQ/IbywUM48p2sMPBIjyDxqX4k9u/rDO1K8ZTxvwIM8mEbMPJLLCz092BS9ynnzO0eVrzoKrAK8v+HVPHl+MT2vwSa8H3sbPPOqqzo1Aeu8jNDOPNgixzuC4848QHkjvRkE8Lxhat07jkiAuj4ngTteVj281d/uu3iNKzst+cY7P+8BO7l/dzwyhng7CaouPK1E8rvKne+7nA8Rvc7BybsuMpI839WMu1VcRr0Gn4g7D3zGO1VWjr1X3zu7OC4uvFqDbj2b7kg83xGMO4k6bLzYx4Q8vGTlO/cZJrwkVao8MNzpvDotIrwGq8G8ZeOBPK8JLDyw+I+6+uvPuxgy2rye3vW7qxOCvE1TY7x0Nk27HBqVvHEPbrzHNyE8v3mNvPDoXjyRlfW8dt2dPM5aQDzTi8I8d6gZPNzUgzscfuI79NFgvOHFNDsVDLi8h7SuO1b6ezzeuba8sZAxvMxIpbrOx188mVNivGvwx7wyWCq79lTCPDQHsrhznsq7y/5yvIAbwbsd8zg6vrHMvD2q0rt7+Mg8yhD2OuhItzsKaQe8QLVcvHy3ujxnPz+8xkYFPCqaMrvn9xW8vc3VPMzQgLx/q368vYzmutazgDt/GZg766aOPLHatjuBdLY7In9tvKx6oLxzS7Y8M3wTPH5Lzjs2aA+8PvvjvG4WazwEn5y8YmXrudsRWTw9FnU8xAowvOpLqTvN62w7pQSDPFMyPjtR8us8q1zIvGL0Yzz3pwY7ieCBu1/Q/Du1UAI8ovipPKmCXLy1Tg46GvG7PK+hezn9izi7dYiQuiIFcT094MS6AxBcPOExPLz0BnI8h8LCvE3/Fj1VrNA83s5JPNbJarvwLmi8KnZnvLJvgzwV7Jg8uiKluyID5rzHu3q8rPubu2yFsLuf1QO8KFsKvAyWZLzce/E7r3tsvGDjFzvR57U85EPnvN/5fbxRGYe8bddlvGpk0Tq5lEq8Z/LVOO1qSryGwMI7A/NXO11XhbwWGAu8eERRvAy27DxuC+o7xFK8PAGqzjsxNsA8g4EEvSxmy7wp1aQ8JhtIvPusdrvLFmm744YAvBoThTy2bn+7ePCtu/Y7/Lqad047SSbUvG3N87qo7WG7fpeNvOUxvLw17ao8R0EHvDJZNDxaWGU83kKgvBv+5zybJW28dwoou/GvcjyWEQi8w8C6vF0JDTzm3ak8M7tlPDrV0joPWee79TguPLaBhTwPRem8QLYmvIoIKjxWPmy8VF/ZPLgkLbrYgTe8PJyFvETlm7vwG5a6gt2wPLS+irwdgAs9Jjw2vXRPGjwqEk48vFLOPAAUartYI9g84050u7udYrwqPMm7S/sKPM7s6TwQfny8Y27Fu1rVbrzNYU07x04NvGOwdzyQt128AqxVOz3RrTuJdYe7rFu1uy/uxzwopoM8bRRHunwa3bwnCPK83F56PFRm0buXvXY8hHPoPNO4prwujrY86PITPG6VSTy0mXm8YnajvKLgrzr7DiG71s8tvJGBO7wIiEK7vS7UOhBC7LuTXXe6ypeNPJ0LnDyW+Io8MEUXPFwDgTs+PAu85GeJOw/7k7uydG48p0c+PQ3vXDwaYJ88VIpTvPq9gzu62Vs9VikDvfuW3TtwVSQ8UAKwO5C9gDw9kvw8+APDvNvOh7zdpJo82Zblu3yODzyhWEe8bAL6vDUJ3bv9qgK7JOP2vG6rP7vWWpS6uSNQPGV9UL10lSM89kkTPcccIT2MBt27OSbpvNoAKztnvNy7pVixPPSKc7zSxZU8ITqVPEPOxTp24Ag9afnHvJvMkDxU1BS9C4EMPH2vyLxkq0o7kUCSvaN6pDwwKXO6UHDeOhryYTzkqC68dCtRvMjKR7yaQ6c8FWh4u+VpbLzFpeQ8LtcXvE0oN7q3c9g8zLiKPNfdoDv+yG48HdatPAbInzzw/hW76aksPAdTRTxNdfI72UOgPJJ4tLwGsqg7zLiYvA9dtjwG8f45zs/Uug0LpLq+aRC8OvPlu56UuLrk1mc8KEK+uhbfbTwT4EA7zRavPKZNyzso1xK7+y22O3C/VTwgx1Y82UxtPC1eXL0n+EK8zqcqPAySrrsQU5g8Nx/wPJ838Dy0lwy9PBCdu9d0drx6Lie8ctzMO0trG7whnAG8aUSKPGHFcjwtBYU8//ChvElk6TqoWvE8HIXnOz7UVryLh8e7+HKDvNBvAb16dKI8bJmNOtNscztRaQe9cEJQvL1SNTuE+Am2S1g6u+++Gz1TIIs8iw2gO3PiBD3DagM9BNu+PK1YRz3vgeg8q758vHEulLtb9dq6GwOLvN453rpY4wg9rHBiOrYvvrrj7W88/0/OvN0nNj1IRdo84azTPAnijbsYVsS82+hovL6ATjzdSb48FUL9vIkRPTs7ebo8Ki8RPCPvgrsUfuQ74cJqO7mpsLxl/AK6KGDhPBSix7uHEYS89eadvL7VojuwJoY8mYPSO4+PUj2wDLi8zps2vJ63+DtBbwK8Cbv4vLOetTweN648Vuu2vNvRAb2ei9E8xOuxuwtaCz1LaOS76QCRPPoR77y60Zo8YL21O063VzyQS7K8kD0kuyYpHTxs5V07KMjlvPRrtbzQwCU8i8SQPMUFnDxvC9S8bNqOO7pR5DyvESQ91i5gO8cUbrwBipe8NoRpOWIxjDvvE7u8sZcUPFcjuLwStgY9qpfeuQdXITzGvQc9gOzBvBrPnrwPQTO9tlBNPASelrug9OA8VzaNPKohwrwbvmC9KlpivFJRjDyrCvc7hvKGPObGCD0M3f87aHtRvGXKa7xmOuy7y2wyuyGDnrwWL7E84LZ7vDvmo7xBInw87DgZPMbMSLwf/+U87KrGO/zQNzxMAAU7SatUPNqIhz0ycIq85A0bPHv3Ez1trMG8xHFHPDhXGjwIB4e8qyBguogkTryIs+Q8gh45PGmADLu0Gtk6duSOO39Eurv0+f08l9slvZ3WfDxFVKa7bfhmPDKftTy2YCa8Yr7Au0mHCrwRSUm8/1jSvCzUYTw8guI7HkEJvDSqgDsmEpg85X9zuzCa6bsfduY7MxSbOc43q7zi4pY8VboVvV+elToQsGC7SkPlvLTlyjytyBi6//OyPPiZFD37pEo8MY69PBTRUDpXo4M8+AVvvGIXlbzuAnW8qjCovCd0qbxhmju7S2EjPf/Ph7zI9hy7WW9NPa21nryeu1C8f+/aOpEFLTz6D4m878pNPTK99rwN+2E8ZKOQPLkrhTtPRSO7m9zSvB6cz7xBOGK8FPBoPJI0Vr1VpOa7WpSqu4B4JDzu7hS9IJr8PBX+qryJ8PY88Xs6vWllArz3MDc8QI+aO/5RozxkRRs9qCd1vKouWjsdk7S7x+eMvDgiATuvGgu8bnBHO6I70rx52pw6z0IhPf4lJT2G/Do8mKNzvKKFJrxwLVg8m1OJvFhhcjyeGp48276oPGv2V7ybEXk8Z5WDPKeoOrwQMOc8PKdfvVTkSztTRgu9Lo0evPESKb1F2cy8HJ7pPEs+VTw0tcq8Rf+jvIxb5jxQRwY91yKHPAUosLyFjxE9Z7wEPLo+OzwdTHo6kxcivZpGwTyLbeu8o8/CO+R0BryebfC8Bua6uGaLtTwBSfs7RWzzPM+xqryCa8Y8kf6TvBD4TL3HOBM9By7GPLBrtzuApfC8IMsUPfCYYTwlfLE8/NcGu7DQgjwzZRO8zAcpvWVhWztuKmK8VUvouTrd6zxLtau8klAMvHjQFD3rqz08PZIPvOSrRzucSjE9dMVdPP2WmbwI7ZG8dPDKu+H6eDsKlU+8HYbDvAd63juLSLi6+z0nu9lPdryD0O+83mrKPKCWeLtr0nQ8Gll3PJH3zzsiBXY8YnILPd2OurpwYQg9v1eQPIXiWD2e3+K8h6PSPPn9+rtqDkE8Uz/PvONRu7ztLUc8KjqMPG8PszwtVj88ZvKAPNNhAzwFZOm7SY5pPNbYFj25cfg8HmECPb62ljvsOsg89VlTPIpDmrzyMV08ee1tvNU8mLyrS3Y8jG/aOOeo8rwF1wI4LBN2PNuZDj0x23O8csndPMSCH72OC5O7woEgvTjtnLnrk+q8g5smvIBBlbzrYJ676RJ3PXNpbzxllv+8zNFMvNxLfzstEku7+gtiOwOMqjyAubM80cFnPIASC7tFBQo72M4RvNaN/TzPOsY7nBICvEGrejpGwkm8Pz/YvM1Z/TrAmda8biJLPIi+BbzOozM8+sEqvXcANL2kM9e7dMGVvEcNPb0ivp48e756vPqw1Lu4LjO8W6EXvGOVh7zm046533qwPIKX7TpK+rK7CrXOO+iTD731x5U8BEBIPQlxhDzVToM8t/B5PIn7sDrf55W7MI2GOx57nDyIL7Q8XUHXPKcVsrl48j69rPeiuwTkTbx4egi818wKPPgyp7z5g+s8OHEivKWYFbwqgYY8y1aTvKwKOTwCY9q8gCIPPFMHJjoR5yM9Mh2HvGq4Xjx2pAs9dMpePHu9GrwZzUa9lcHNup/NkLwgi1Y9E1USPbrmwrzipNS8XJ8SPXaAJ7yBuy86TwBnPAYiBb2mgOw7200rvGFudTzJHMi8O3wivCQNmzsgffs7eKeYvH2jzDtErVU8J0gxPF+gHD1UAb08AzNkvNhDKzxx1PQ8mXk1u8u3zbpChta8XMAluxaPlzyos5883rPGvFoQcD2xXTq7z3NkPJUEubvQ3YA84zOtO9sS8jwHRAg64B/BPGF3hTvDk6c8lb60O4ZNwbzByWW9awm+uaeS7ztw5Ne8LvIBvdNZnbvXuqC8aQmjO97u1zoP3+A7IxcnvYJj47sXNGk8paUYvaTgML3h78+8na6BPKANkTzprtO7kMY1PPaNO7ztZIE8MFttPIM23Luhy2s8NDhCPdZeOr3qZSi8VmTOPDu0WbzXC+a7mfx8vOVLi73ufEI7tmrxvJYCJjqm2gS8n0xbPN7vSjyyXz28wUFSuxb26zxedRI9HAzbO0h1L71rbxe9fkyIPDzoHD2yKsg8CFYBPAi8ozzqSM07asssPEK6ljw1aqq8gfeuvKSWNL1igZg7SsmNOpvnGbzvrPE8zu6EvJMM5DydXLE7al4Tu/E9iLqBFYQ87q+yvDVNLD0PcaK77/CUPGf7QLz22Jk83t1POUuHDz0WHsi8GZglvaMIV7y7+627PbMNPFoj5Lxam8s8VYWPPHhsnbsCnk076g+ou2REwDy3NDy8R6cDPPqB2zyNAXa8z/7COzjdPbvnHvw73h/JOyFMJT1ea7I88rDOPISJkDzOtc087s9dvOttKD26uGK7XxQHPdTBczx/z6Q8dkqbPCAQZrznpme8Rl1Hvbny77z+C7U81gTwuvjYDL0yXLa7NiU9u6lmBLtMUBE86kdtuhYitzr1Tza85QEkPAXWNTzVh/I8IRotuwuCz7ynhAA8vqaFu6bI9DtnAQK9Yl/uuVebZjkZtEE8ICLrvCNOJzyBl0a7DUbqvKsOhrup3pO8QIl0vEvGirw/X8i8TIETvCegj7w+rhW8bGR8PLvuubvN9he8NPudvJYvhLzf66y7XW2hvIPYCb0hqOE7jYkFPEUbHj25qUq76YvrPK1iyzyRuKo6zYarO2gpmbwMs7G83hwePUD1Abzyff+8r65FvGgZjDvOx7S7CUmeO172p7tPlRo8uZmTuzOeNbxX5Sk8whETvQNcsTsppHM7W/FEOqKTdzs72Rs9rid5u7hajTwr/Vq8Qyd0vKYtoTv/Qi48HmItPA2hHj3Srpm7Ci0qPLc4Fjq44ru7xROku3Pc8zywyg+8yXX1vOtZoTxs1qQ8Kmq5PFylazy9zIi83tQ+PDmjPzzz7cU86Y3mu962Ejz8RY27HcosvY7n6DzLgKq7AuECPcZxTDyUheg7LNwPvVkMALwWYLu75QmvOxG5kTx4HLO8FHY9vEXTBbuHXAq81K9xvBLxsjwt6xa9T2ywO9dtjLt2FDG8XQUOPBwXBz3JlLQ8DH3kPJ4tujybMXK8imJQO+R6vDzqDyI9FgBNPKrsRjz0TJY8n4eAvAwu+zw1SJY8nO6nu9NTBjwoHNE7AyTqvKYGUbtYe8m8xbKuvHSbczvGFts8554oPOl0G7zxb9c8qpj1uUh41zysPhc9TBvfPKcyGj3CSVU8srYyurMM4LtI1OY7koKtu6WPSjwGFCQ9ttCgvA3TtDzhOXO8sR6yPD83OTuiBWG8AnGGvJnDKbwofcs8w6a3u1Q08TtFUgY9z1I7PB3l0LzeLAy8ZJXqvAxdWzzQ/DC86bOYOyM9Yjx2PzE8THfsPI/nKTzDiSK9ZaRkvEzvQjyDXrA8VBSLvNCgT7vQQu+7cWUwu7sW4rzFhVK8ITzdO6RAJrxZ/5I7PRCHugxJA7x8T/M62T7DvAxdD72LYtI8ev1fO3bMMzzOGUw8tqoPPM6/qzor0Rg8rRnLO0GitTxtCh48neHevCbBtDy7OSy85gUzPW0KwjyyQgu9htLgPIjzBD3l21w874WLOl/lh7yqvzo90oWtPNGaz7uir4E5oD28O6TqdLxSldQ85LwEO5zs67x9oJW7rAuvO0Re5rwSCHc66nxkujR9kLwLyPw7AastOyizIb164OI63XX2PMUVR7w+2hg83GoYPOgcSrx5JKm8KV+sOx6tDD3ONAK9/3ufvOtJXryaZgU8ne8wOxY51rokxGU72k8+PN/FhLzJZ5G8ggwMPROkvzss1Mg7QwG2PAaNMLwk1DS8EJGaO14DID3jjLi7jRJSOk8gmD2SgZw8y1u9un+NMzsniTq9QY7BPBI8QbtGBlu750HPu/LinTs/1N88ECWyPN+pKjrHPnW7s6XIu1ei+rr34Jq7okVRPOHqHj3/RMA8cCwLuhBBX7zvt8M7Y3RsPKJ8Uzwf9Ee8MBZSu0JbfLsaunA8x2QXPLWEyrxvufw7j7QfvbGpujyav7Q8rnZivI1okrzWC6A8sEYoPWAZ+jqgQCs7OIsDPCtfgTyHvA29JkHBvEXCNzxNUYs8Wgndu/RhQrzniQK8+Y1XvM9ECj1YSeu8A/8VvYXwT7zJcGw762KSPBTyzzzMyPA8M5n/urZzOjxWqHi847EbO1qaKD2ud707KQeEPBh5iDvOnVm9HWynvLpYKrwILQA9NfgNvEG1HTzZ+Tm81Q6IPGTksbyyw7S8d4YjO2iEnjw4QoS7ca0gvYrVmTsk8yK7pzrEPKHH7joh4428DKXWO0amLDzHpGq8pXm6u0CPgDza7Me86ciIvLNp6jxDeUc8yXNOO0AUszwrXME8yXRYPB80BTwhRhA9P/L6PMBRyTwvg5Y8VOSBPABVOrvM1eK8miRTPDcFjbpnWiQ8XIIZulJ5iTznToE8bHAKvRYHGzxKy+a6rVhDuh6s/jsoM787gmoRvUT3BzyVMiQ9YvIWOlPBnrzwapq7gqCgu9KipzvWJjE8xjMau0O4Rrx9NQO72Sq/PEhyJLxv95U8wqipvAjFtbv80UO8B+oSu76IDj28xde8ndcNPPw9i7xaZD07YVV5PDdyOLzrcKI8aN2QuwSEQLuDaP+7n6W3vK3NybuZoEA8ZPLbuppjojz89rK8bvPdvH6FoLzzQws804/JvLtbSL3+LfC86B5IPOgGfTyR6TU82ohuPFRpYLqRoqM8SB6wvODiKL2Yois8iHcBvEb/7LxQ5uS8ZP4pPHr59DzZJ5C68pUOu7M/nbyojUQ8MSj1OzqrCjzK68w8mC2JvBxSRLy+GAQ8sJepPIT10DyI64y83ID6u47AvzvBP6c8e6glPd2hDbuKyUi9y/yVu5eh97zTTE+8b5BjPAK8JTysjmE7eAa2vHy9E70ppA88fIAYvKh3Xry902c8GyqWvJDaWz0e6d26Gl6NvBLU3LuBtIO7WMH+vDHsSTxrnm+8MieUOTOU7jwexoc8ZKk8uGb1rruCnLi8Hi31PJozLLyUC7u8OuuavITnlzzTMjC7zorQu6akhLyeGDc8ABIYPFeTWjyxT4288neePHQg8rzxsNm82MCLO63joDwOeBg8Lo6SPKcRJzx+Ifu7ZCmJO7Nugjsk5xq8fPARvdusozwVmFE8XCPEuw5enrwiuQS9FiQXPZK0Ar2+Wq08ct6OPPgChzzDurY8dlK6uz1DtDsjBtK8OxqRvEcUFTy5V6i7Eg07vEtaNLyrNbQ8PgsxPAiBdbvtslo82FaYO1eVwjtcL5w84vQIvB1AJTuqL1M9Fp8PuzO8u7w2fLm8/GSfPBHVbDy43rQ7MEcMvfQaDrxasle7+r4avKyf8jz3nTC7LejXuym3cjwkmP67UICJPG1lHj3IUXQ7Q42fPLKH0jzobiA8gZBiu2sbtjwrPUc7S6v3PGD+ST3fXU28i/7OPKzRDrx/6Sw8Z7UJvDkM9zxBG1I8Vsw/vXUGnTxdn6I8C6DwvGeS6bvEhtY89cuIOgXjYDzf1ja7e0I5O5r2e7zAq6k7JhSKO049xrzvrZg77v8IPFm6gjy7bxQ8FCcpPIfI6juld0u95wEWPPgdqjx59nw8S72fu/Ge6TvyOpK8tmlDu70T3zzK8vQ6G/AWPC67RDspFMk8joCOvNVq9DtcbYs88iLHPN4Nizytzca8AvUMPSTibTzz+4y7XiEEvTOBijjFsBM8l/K0PEzPGjqPN5U8c8w4vOlE7LwIDQW68c7OvHOhpLvN+W68rfWeOYTJwbtYbvs8WdUTPIcjubwKTEe8hGq5O8Vs4bpfsWm9CTjJPH6bGL0pFSg8QloqPUUoszw0ta4814WiO1hi3Tvxapg8R/LPPAO0rryOvRU5BpaXPA/Qkrzaau48TPJcOswFobyIRnm8pbxJPCHjIT2oCZy8acmPvATuGTy0Ji27vIWBvLHOCjwdpIO8Fy3JvODHV7wJ/8c7j4ECu0hUgDvNxxe7D34ePEXnILxQPYQ8sDrcvJoeMr0r8zq84iUkPMPQ6Lxemyu8KBCwPKGV6Ts59Yw8wExhuttqvrrGwdo8KuKOvDBWJz2sdQY9Ve+IvFsQC7xtWRS9S8Pku4stZzyO+m68c0RfPB0aiDxMKyE8LxvWuUScUbpQ2q68Psrwu5a08jowurq83MmGO/od5TwtvUU92BhePJTEszrPYpe7ntezvKfYGLye3h88csDQPBq17Dshmdi6xTolO4dBerp8IMO77Ly7O6XBvTyVW3m7pkQsPAbQk7yuSF48wkxMOwJfRbtofPm8CcLUvDKCQzynJcA7w15fu05oBr2qF6o8Q8EAvYrdrjwPdMS8syV2vPQ+bTzmJTy8OusYPKFEnbu84j28Z+iCvL06mbzogLc871mbu1uOAbrkSd+83lg7uT+qODxndDk8CItjPDsBOTxPzRk8oVfnvEyeW7360um7cqALPSdsBrrTWrC8RUocvCNvAbyCV0K8zVORPNzytTvVlym7QXvpPA0ODDyinBK9V5zxO7kBBTwSUoW7i/7+vLEtCb2wG6G8eR3OPMettDuoo0O9M6SjPEQH7DxXz3c8bgEAvKMdwLxvKIq8J5GZPMMfTTxoUZe82wCHvNydzTvAeZS8Tmheu4jCe7winV48zM+vutqL1LxidK47S+DNvBGQM7wqbIY8+HwgvFq2Az16RlG80D5jvN7Zljxlr6c77ALLu5Hsq7ybUHs8NixmPOeVhLzdFAQ9sY5AvCaBfLx0tJu8vELNu0aGpLg9GGM7ZAwUvaOMtTrrq8u7AzjOPNFDjbx2gWK8V3fpu9MVKDyeOle8R61XvREY1bxAwk+8FRIZu2BKpjysBNC7TiAGvT6Pl7tVlvQ6vNcQvR69D7yVWBK9SPTbvCrDGzx/bvE8VQpFvMWveTssPKu8DOXWO9Hiq7wif248OJ2yvGiofryerfO8y8ktvS93MbyBNb68Mj8UPB0elLuoCbA8D+OnvI13lDyU9fs7kJjxukWY37xEvGM75ESLO1S0SzwE7y+6i8xXvAqmBryDnJO8QKieu9eGDbrq7we7lECCPN0FJr30/yg8t2wAPQQAMbvv5YG8NKvLPM4OLLtsTHW8zh9RPKGqFr2dxii9ABAQvFgSuzxAcOC8WNylvKfRmjyArPy7Ygs+O0hBozwZcBq9+fUZO2HNBL0J1rY7vFF5PKNAPLuTp1E68HKdPCyN0TxuYb67jg4dPPnQhzwAcC87El7cO+4Ci7ylEfK7kXkuvAYgtbmN6q488W3iO52f9TtVjQE8XN3XvMWlhjwYcoU8wJ1QvKBhpTyfZ9w83fe2vG99BrtonKA8K3K3u+BbvjxGyba8TWeDvA2jsjtGW808ElxoO60Fqbt6NjS9ehGCvKyjqLxVUYk6itNtu06IwrzQoCy8wP7DPP/48bxveqW7wUi0vDVtjLz+moY7UQv7vOOZQDu9+jc76++2uwy757zQR4S8a4wYPCvYFDwO6YE8ioYcPWnsjTxV5VW81Y+5vMhQwrsGH5m8A7sQO5LuBz007868rgL4Octww7y1Cec7Kee9PFEs8LooLrk8k9cJO6nVkjyE3Uu8n2BCvNBdKLyB3a28QkgYPGYKUr0OAaW7fedSOv5uqTzRlKU867cAPS7CL7wdGNy8SWUFPX1fKjvwDo87YysCPLQULjxVVzA9nxAYO1KTZDwTbhk9vzjOOj9Hqjsx10C90PGTPEr/bzx0oGc5KKYdvNHjMb3HhcK7elejOygDuLwH3Ek8uTErPA45BL3jpVQ9HR5pvKbasbybdaS7QXkdu/ELorwVUQ48ZiPTOtfoprsIzXu8VroPPfcIlLzBmb26MbITvDJZQDtzd4S85XxSvHrlYTzIgzQ8hBOZO1y6MjzJAgY9fY0rPTajW7wqdry8/YnovInRdDxdKC48d4HnvAYRD7zU3OY8bGEtPBmUcjyCM7O7gPIyPPjzIbyxHoq80+cRPSWbLbwrZ2u8sFslvAFUobtZcac6V88bPSDwArzxUt+8Ve6LvCK+JbvL3M28zxLHPH/xTjzfFrO89B7WvJn+RL1+2V+9JeYQO/aA+brUdMC8DxMJvPA8Rjy4+VQ7uEKiOw3ZPL2+PF27KPCavDqf47pse1W8jSKKvKi92jp4cay6JJIOPOVjDTxxGb47F0bWvCSJI72a6Sa7w6NDvMkNFTvejEA8VUknuzEbkzz3MsE8mBodPKuaDj0DPP+8QRevO2mHnDzF0eS7wQ7rOlOUErzicMm8ozHfOTcygDxQENW7Mkn/PMESTjzL4p48BR8BvYbazDiH/uu8vCy5PFqysTwF7b27ccWOPFqCqLwtp5s7svajOqS5vbw3WAG9vZdnPCRj6ryYZAi9GSG5PO5epbtnLSs7wMOkO3TSPT3DNlA8VrLFuyL247ud+mq8zoHSuHaBezyf/GC96Jw3PINMBrxHrdy6Z+mvvPiNvbwcZjK9xovoOx84lLxbArq8STeGvA3j+TzOVjy7Y7imPFtd2TxpqgW9u/YSPKhmsbzVVDc8mMK2PG4/IjzUn6I8K+qDPJTqQb0PfAW86t4FvPtJibzfW8+8A+wEPGAKk7vFumG80tSjvPKwQjymyxW9npAKPDnCmrxXnwy8q5PYu2/ejDwo8dw7FQ/KvEIOVTzfiNY8wFfEvLEjyDwf+WG8azfIPEtgnbu9XVg8RCGiPDE9IzurrZY7+TQTvAv5PT0/j/k76mqdPEooqbwOfNU7zSs+PMGkabyNFhU8IMIcPCBo4Lx6eOO7XbeevMorNb2dgOM801aTuzC5xjuiwRi92PvhuwZgjjtxrl88uGKMu0ihxjtNY3I8YmQRvT3WPbzpogc8EnuLvA8I4zwrvQa8iDS2uheFILzA4y088tDUO+MpBL1oQBM7mfbBuwzPd7zJQxo7O+agu9DpVzsy+bw86ihZPIIeXjypBhE7I9Obu6WhpLsCtgQ9X3XFu3jZFjwJ3qG8QWsGPJM4ejyBXXy8wl5kOxs2IrxXpgg6iVDyO5hX9bzXrYK7LRDFu+EgBj3sVKk8aEsZvSlwxDzgC7+7qbmdvO3hdDwXwYY7pkrzPDACRzuFBRu9ILQxvHjYijzt2Zs8YQ6uu7YBl7sBg7A7Ha7ivMyMXDxY5Ii8ItGevIQ92bzi72S8A5MDvYLJyTs907I7XKGNup9r9bx519u7ORSuvJwr6bs3hBY84zW8uQS5FT2ABES85wf6vBNPojyJXo682ox+PFmlTbtox7k8WrcDPZLpKTw0Jw68ItqyPCVVYbyOAfw70JVNPGxN1zwEsxK8Wo5rvGz7Jz1EaRO70ZxbPI6lazxdOJI8t3L8O6xfobcP38O7pF8mvYMh9LuG0mY8ZGKoOyoD0bsQ+Sm6NQSKPNSG6rwUqRq7Kne7vA0lWLtUEFu6sh10vAWdZzwldVK85JMvOtmX6jt6znq8Ykryu5m3DD1rvoA8anUXvNSxv7s2+mq7UqJCuz4BobxViL47DHanvOzvHTxwXic9UoOdPD5Zwzx8Wgg8JkmiO0VWl7w1Jze9FozCPCdcUTyOcVq6U4lBuwvj7DzhVDO8JWB1OmCSHDtTPuQ7qJzZPLCUTLxv846899IFua41mrx076i8xXgrPTZqzrsTTw29GC/zuzedqjowdEe8/oHkusjDqTwxIte6HC4wPUjBXL2M2x07pZLiukeGNjxaWB29snFEPH7KFbt0yEC79RsSvJjNjrzJIs88motZPK0f7btSXcK63qdzvO5XRbxNTkg86ngVvZm0BTzu+IU71j1ovODyIjw9lsw8m9g5PL6El7xe3Rs9MxIkuw5mDL2UiT68Km6+vIXKCL3zlxE9vw2zOvYR4juRPoQ8X9XbusDWnjv9ote7jO6LvIdt6Lt/kCQ8rYgzvaoX9jtoBKw6+Uqfu1Mr8DwqZw28ONfXvIQ5rjtfP7M7apZovDX7ML1djfe6Qc2Vueu8Cj2HhLw8oYTtvP/E8Lwugec66aqHPGi3yzq8G6u6JKMDvRx6gjr4yke8wRa1ulRwbLzChBu9m3IVPSJVoDyKkZO7qM2tvAAcUrzliz46dFKwPFQQrbxpiiM89u0Cu4ThZDsfopG6kbx2ugRanjyQHn48epg+PHft9bykRJ27foTOvBuf3zwQlWE8neU0vbm8oTyfj028eSIvvAo3xTyIRzC7FTinPB5vQLvvbwc94Eh9vHY5lzvJuqQ7gQFdPPOFzrwvQU+8YR7GPNQ6BDy6fIE6r5S+vFm4xDy5CB09AOW0vGET17wjwYI7ZWOPu8ZlizuvL8c7uP5mvFgRxDtFM0C8UOZkvHZrpTya9vq7DO7zu08b4TzPgnI8gYDtu8ZutbxqrQO8FToXPDFHXrsnBdO8NZB7vOohu7wpdlQ64QC+vPEJDbvWX4c8jfftO+waAzxWL2W8RcRMvNECCj3kL3w8TeEDPSEu2LsWur48C9MMu8+OwTy5Qdy72A4vOyE/tTsLDZ27zdQbO9B6jLzoIPI6VVIhvGT0rLuuYEc7+7KWPCXYkTsqWZE8LMiNvJV+X7wixgq9HrWBvEOHkzsgpCU86tkJvMerg7xE7F47wEbiu1nuNz1Xv8g8SDLCugGmBT17MiI8QhuFPOM6QLtHfP+7Rvi2PBb/GzwD88u8yPJCPJbWwzyxVyy9jNVJPOXCRTxRJA69mq+4vDhj9LrluCk81uoiPA==
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 109
+ total_tokens: 109
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '99'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Alice Smith New York employee
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_context_enhancement/test_text_expansion_uses_radius.yaml b/tests/cassettes/test_context_enhancement/test_text_expansion_uses_radius.yaml
new file mode 100644
index 00000000..c95c4b0a
--- /dev/null
+++ b/tests/cassettes/test_context_enhancement/test_text_expansion_uses_radius.yaml
@@ -0,0 +1,90 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '347'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ First paragraph with enough content to be its own chunk in the document.
+ Second paragraph contains different information about software testing.
+ - |-
+ Third paragraph discusses various topics and provides more details.
+ Fourth paragraph concludes the document with final thoughts.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 44
+ total_tokens: 44
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - software testing
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_code_file_real_service.yaml b/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_code_file_real_service.yaml
index 088f860c..c93b8deb 100644
--- a/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_code_file_real_service.yaml
+++ b/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_code_file_real_service.yaml
@@ -1,13 +1,13 @@
interactions:
- request:
- body: "--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition:
- form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition:
- form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data;
- name=\"table_mode\"\r\n\r\naccurate\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition:
- form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data;
- name=\"generate_picture_images\"\r\n\r\nfalse\r\n--4379b32700c5b8d95062406eb16d4651\r\nContent-Disposition: form-data;
- name=\"files\"; filename=\"tmpeojgnbxt.md\"\r\nContent-Type: text/markdown\r\n\r\n```python\ndef test():\n return
- 42\n```\r\n--4379b32700c5b8d95062406eb16d4651--\r\n"
+ body: "--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
+ form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
+ form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
+ name=\"table_mode\"\r\n\r\naccurate\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
+ form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
+ name=\"generate_picture_images\"\r\n\r\nfalse\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
+ name=\"files\"; filename=\"tmpgc9za8mg.md\"\r\nContent-Type: text/markdown\r\n\r\n```python\ndef test():\n return
+ 42\n```\r\n--313fb28cff30a333a81f610f9c6bdaf3--\r\n"
headers:
accept:
- '*/*'
@@ -18,7 +18,7 @@ interactions:
content-length:
- '1011'
content-type:
- - multipart/form-data; boundary=4379b32700c5b8d95062406eb16d4651
+ - multipart/form-data; boundary=313fb28cff30a333a81f610f9c6bdaf3
host:
- localhost:5001
method: POST
@@ -26,13 +26,13 @@ interactions:
response:
headers:
content-length:
- - '1114'
+ - '1113'
content-type:
- application/json
parsed_body:
document:
doctags_content: null
- filename: tmpeojgnbxt.md
+ filename: tmpgc9za8mg.md
html_content: null
json_content:
body:
@@ -55,10 +55,10 @@ interactions:
self_ref: '#/furniture'
groups: []
key_value_items: []
- name: tmpeojgnbxt
+ name: tmpgc9za8mg
origin:
binary_hash: 9008975733065065710
- filename: tmpeojgnbxt.md
+ filename: tmpgc9za8mg.md
mimetype: text/markdown
uri: null
pages: {}
@@ -91,7 +91,7 @@ interactions:
md_content: null
text_content: null
errors: []
- processing_time: 0.0017275830000471615
+ processing_time: 0.002258999999980915
status: success
timings: {}
status:
diff --git a/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_text_real_service.yaml b/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_text_real_service.yaml
index 4ae1d308..cb66f00d 100644
--- a/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_text_real_service.yaml
+++ b/tests/cassettes/test_converters/TestDoclingServeConverterIntegration.test_convert_text_real_service.yaml
@@ -1,12 +1,12 @@
interactions:
- request:
- body: "--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition:
- form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition:
- form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data;
- name=\"table_mode\"\r\n\r\naccurate\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition:
- form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data;
- name=\"generate_picture_images\"\r\n\r\nfalse\r\n--798e57b119ed24827326455c645311ae\r\nContent-Disposition: form-data;
- name=\"files\"; filename=\"content.md\"\r\nContent-Type: text/markdown\r\n\r\n# Test Document\n\nThis is a test.\r\n--798e57b119ed24827326455c645311ae--\r\n"
+ body: "--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
+ form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
+ form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
+ name=\"table_mode\"\r\n\r\naccurate\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
+ form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
+ name=\"generate_picture_images\"\r\n\r\nfalse\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
+ name=\"files\"; filename=\"content.md\"\r\nContent-Type: text/markdown\r\n\r\n# Test Document\n\nThis is a test.\r\n--a906caa5bbe5d30e17b44fb63c456240--\r\n"
headers:
accept:
- '*/*'
@@ -17,7 +17,7 @@ interactions:
content-length:
- '1000'
content-type:
- - multipart/form-data; boundary=798e57b119ed24827326455c645311ae
+ - multipart/form-data; boundary=a906caa5bbe5d30e17b44fb63c456240
host:
- localhost:5001
method: POST
@@ -94,7 +94,7 @@ interactions:
md_content: null
text_content: null
errors: []
- processing_time: 0.002875374999803171
+ processing_time: 0.004331874999934371
status: success
timings: {}
status:
diff --git a/tests/cassettes/test_database_autocreate/test_operations_work_after_database_created.yaml b/tests/cassettes/test_database_autocreate/test_operations_work_after_database_created.yaml
new file mode 100644
index 00000000..b6252ae6
--- /dev/null
+++ b/tests/cassettes/test_database_autocreate/test_operations_work_after_database_created.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_embedder/test_openai_embedder.yaml b/tests/cassettes/test_embedder/test_openai_embedder.yaml
index 995b2ca9..274744be 100644
--- a/tests/cassettes/test_embedder/test_openai_embedder.yaml
+++ b/tests/cassettes/test_embedder/test_openai_embedder.yaml
@@ -41,7 +41,7 @@ interactions:
openai-organization:
- enfold-systems
openai-processing-ms:
- - '179'
+ - '69'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
@@ -52,13 +52,13 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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LDwqzCi71IIyvJ/e2DtmU8e8eoXpPKay1bum1nK891xOPLtDoTvHxWO801x7uq2qbzzx4W08EfX7vGQeSLzroRm8PaUuPAnIYj0irtc7eZq+PP56H7wa/ne8EJxfvZ/e2Llzsew8SGDjPA/GCb2HVw07FVAyPNoweD2H+GO8B6g4PToXk7v7ECG86myavDOxBz3UFEE8BXM5vFn1ITxIvww9baoKvLaz67qA8QE8Iwf0uTztaLw7cC89yVmMukOOADr1lUA9pX3WPMxVGTtyWFA7CbkaOH7gn7w2rRS9qcM3vFgZPz1uAyc85G7zPPrGzLw9gZE7EMD8u2Bqdb0nTdW81V4VPcQ3SLxDweW80gPfO0hgYzwwRwk7sfBQvFIhJb1YnAU9HlmuOhdw3Lwby5I8OHSiPJcfsTo5OzA8UiGlvPltsLognXU6LBDwPOpsGrtcAPc61iWjvLWko7zEN8i8JZscPCCd9TrWxvk8ux8EvdZJQD1SIaU87XdvOwL0ZbzZ19s8nwL2PCRCADzxvdC87B5TvPnbIT2x8NC8g+2OvOtC8LvcMhI8iEK4PDQuQTqH+OO8eNOwvBdw3DsXcFy8Zy+qPC02p7z9IQM9KJcpvb+JAj3GbMe7MovQu6oNDDsUZQc9LhIKPWVoHL3uU9I8RPbkvLI6Jb1rhFO8o0hXPHyHAz1DjgC9sAUmu50sID1mwbi7SYYaPL1jS7wdboO8TyWYvFrRBDxBfR69QYzmvN2a9jx9lss7c7HsPM/yfDseRNk7v5jKuzOxh7zWJaM8rYbSu6eOOL0zsYe8eVDqOzk7MLsNMmE8wvOAucUTq7xxbSW901x7PEOOgLyERis9EJxfu6CWHrwwVlE7Ma/tvDatFLtL7v688b3QPDuUTLwqzKg8oQQQPdH0Fr0Fc7k7Eeazun68ArpCaMk8xe8NPUcHxzwbyxI8d/fNu2UJ8zxaTr68H44tuyb0OLxMpkS9cW2lPIf44zwrkzY8NRlsPKybp7xtJ0Q99QMyvcDinjtnL6o8XxHZuxLR3jymslU7hNi5vORuc7xNgqc7eNMwvVCNfLx7Ycw8RooNPBkoIrwU4sC8prLVPBF4Qjx65BK9iXc3vN7kyj3ajyE8ea+TPHH/szupMSk9luqxvLfZojz9RaA7yfpiu3CmFzxqKzc7NJwyvQ+xNLxpc/E7+36SPIkJRjtrhFO905cHOh5E2TxO20O8rvTDPH8Vn7rwiNG8yiCau3JJiLwg2AG8iLCpPDV4lTsDwQC9luoxPLRazzuAgxC9/+gQvMBQEDy+vGc8bN1vu+W4x7y7sRK9q9QZPHkdhTyMiBm8aiu3vM1ARLwncfI8mGkFPdOXhzz0S2w8Jz6NPI/yl7xCRCy7IGqQu7jETbxXUjG8JTxzPLdHFLsqzCi95TuOPF8RWbyfz5C8gPEBvc6KmDvC8wC85IPIu6jn1LyvKcM82Pv4uyqoC7xAJAK91V4VPQa9DT33OLG8/p48PPUDsrzP8vw8Va9APCb0uDwUZQe9VmcGvRD7iLy0Ws87nz0CvVUsertuEu886toLPRAfpjoj1I68rYZSvbTdFbtbKqG8+JFNuo3w/TwYujA8ZWgcvL4/Lrvp/qg8EXhCPLHw0LyFtBy9P9otvTeYPzweaHY8HDN3PKvUmbsBjAE9jiuKvcKFDzwUBt46zpnguu+dprzdmva86myaPBVQsrom9Lg7vj8uPPiRTbywFG47n8+QPA9n4Lt9cq66VmeGvKxR07uG6Rs9Gv53PIOOZbxwI1E93KADPF6UnzyjSNc8XPGuPHcMI70gnfW7STxGO6RuDjyZwqG8dUUVu8ICybv7fhK8whcevWcvqrsyi1C8F2GUvOFjHj0dD1q9AuWdOwy1pzz6xsy82Fqiu78GvLzP47S8L/20vAxHNjyhcoE8G8sSPHJJCLz1lUA9zoqYPI29mDyTXJa8u1Lpu141dryFn0c9uy7MPDEyNDxszqc6jisKPay/xDzydZa8vhuRvJx02rwDPjq8kSeXPP/oELxpT9Q8CJNjvCiXqbynjji7+kkTvUwUNjsjB/Q7bgOnvD0i6LstNic99QMyPNmzPr3hP4E8aweaPH7v57xPkwm8GQQFu2zd77zo2HG6750mu1FpXz2jp4A8i6y2vFgZPz1rqHC8t2uxO8uOC71gN5C8hNi5vLYSFb2Lu348R+MpPUhgYzz4kU08rynDugQaHT0Oi/08ZYw5vMyIfrwSwhY9L/20vEYcHDynjjg7PROgPSIcSb0U9xU8BeEqvVsqIb14QaK84T8Bva0JmbuIHpu8GzmEvA7qJjtJGCk7Oc0+PFpyW7zFkOS8L3puPCBqkDyZY/i8HlkuvHf3Tbyf3li88a4IvCHDrLxszie6YMkevEKynb0UBt48hbScvAeoOLz4ggU8L2umO3BHbry4oLC8G9pavGLaAL0a76+776xuvBkEhTyHVw09kSeXPLRaz7za/ZK72bO+vJhpBb0kQoA78eFtvAZe5DyN8H28j4QmPK2q7zs5X028nc12vMznJ7vgCoK6dI3PvPNgwbvFEys9iC3jvOCrWL2vu1E8J3FyPD9XZzngCoK7M+RsPHCml7zOmWC8XTsDvRvLErwrJUU7QmhJvKLvurqK5ag8DFZ+PGw8Gb2UI6S7rYZSu6OngLqY+5O8J3FyvJj7kzpi/h08+xChO9oMW73opQw9iob/PBVQMj2+vGc7TSN+PHbCzrskvzk9dp6xPP56Hzt+7+c7/VRoO3kszTzcoIO7zIj+OypeNz0eaPY6UciIvEYrZLw44pO8HjURPRrvLzwM2UQ9bSfEu7Fewjsj1I48CJPjvCBqELzvrO486NhxvMRb5bvnf9W3hbQcvGFGWLs0LkG7Gcn4PN35nzxZlvi82TYFvG9cw7w1Gew8F3DcvCim8TpQfjS99KoVvNa3MT0XcNw8nZoRvahVxjzJ1sW8xFtlPbjETTwy+UE9Gu+vuyaGx7ypMSk9zIj+uxkEBbs+bLy8OoUEPeyMxLuMiJk7gUqeu7fZIj0b2lq8X39KPM69/bs5O7A8S8phOk5Y/bzwiNE891zOPJbqMbxcgz0873mJO9j7+LtKlWK9U55evEu7GbxUMgc8P9qtPHhlv7tcg708dbMGvOiljLkcAJI8+sZMPIOO5TvNQEQ8lsYUPQG/ZjxtudK8
index: 0
object: embedding
- - embedding: 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
+ - embedding: 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
index: 1
object: embedding
- - embedding: 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
+ - embedding: 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
index: 2
object: embedding
model: text-embedding-3-small
@@ -82,8 +82,8 @@ interactions:
content-type:
- application/json
cookie:
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- _cfuvid=UqcWvzi5YYSvA2F64iWeOUGAjzqFu0GcC62rTB9lmDw-1766756712915-0.0.1.1-604800000
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host:
- api.openai.com
method: POST
@@ -112,7 +112,7 @@ interactions:
openai-organization:
- enfold-systems
openai-processing-ms:
- - '48'
+ - '91'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
@@ -147,8 +147,8 @@ interactions:
content-type:
- application/json
cookie:
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host:
- api.openai.com
method: POST
@@ -158,6 +158,71 @@ interactions:
- When is dinner ready?
model: text-embedding-3-small
uri: https://api.openai.com/v1/embeddings
+ response:
+ headers:
+ access-control-allow-origin:
+ - '*'
+ access-control-expose-headers:
+ - X-Request-ID
+ alt-svc:
+ - h3=":443"; ma=86400
+ connection:
+ - keep-alive
+ content-length:
+ - '8414'
+ content-type:
+ - application/json
+ openai-model:
+ - text-embedding-3-small
+ openai-organization:
+ - enfold-systems
+ openai-processing-ms:
+ - '142'
+ openai-project:
+ - proj_XYweeUJpJHbbRSNsezto5Wfh
+ openai-version:
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+ strict-transport-security:
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+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: text-embedding-3-small
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '105'
+ content-type:
+ - application/json
+ cookie:
+ - __cf_bm=hL3p.KhcpSONIGXgTxq4ssjB3xkmLcjHWYvRYTE1K5c-1766863087-1.0.1.1-NfEQli0sWF1.OReW.erzK7jENYHCsOpQQWUKfpI1F147lpMrvtdRroSWxcMDM5h5.8pJ4sE6o1FF62GHRNdb5CoIAh.D0VYhYhvTBcJL6Ls;
+ _cfuvid=LTQgnertJMXEG.To6h_zNXGW0i1SDMPl.838tbjY73s-1766863087770-0.0.1.1-604800000
+ host:
+ - api.openai.com
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - I work as a software developer.
+ model: text-embedding-3-small
+ uri: https://api.openai.com/v1/embeddings
response:
headers:
access-control-allow-origin:
@@ -188,72 +253,7 @@ interactions:
- chunked
parsed_body:
data:
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+ - embedding: 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
index: 0
object: embedding
model: text-embedding-3-small
diff --git a/tests/cassettes/test_filter/test_search_filter_with_all_search_types.yaml b/tests/cassettes/test_filter/test_search_filter_with_all_search_types.yaml
new file mode 100644
index 00000000..84f94623
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_filter_with_all_search_types.yaml
@@ -0,0 +1,162 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '125'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Machine learning is a subset of artificial intelligence
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 9
+ total_tokens: 9
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '104'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Deep learning uses neural networks
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 6
+ total_tokens: 6
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - neural networks
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_filter/test_search_with_combined_filters.yaml b/tests/cassettes/test_filter/test_search_with_combined_filters.yaml
new file mode 100644
index 00000000..f7abcd38
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_with_combined_filters.yaml
@@ -0,0 +1,202 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content about AI
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content about AI
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Content about AI
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '72'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - AI
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '72'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - AI
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: vAWFOfDrKTxDmKw7vf3oOoJknTqB3YQ9yfoSPcXF+Lx+yvA83AJUvXQvgj0yF5q7tBqcOrcPnL1FUVc99mSevH+uQD3+cSO99eCBvC2kDrytbBC88huKPTyqYzxkJJI9533hu22ijDqkI9y8q2qOvZJ+tLwi74Y905P1O8kUybx9yEs9q6ulPLojCDzmsp28kTN3vADy7LuBls48nfSGvLZrJDzdYbe8zDpRPNADPjtvXh09ZbQhvaJWjzuGhFU8KCUzvLkRi7zWenc8rKHJO/sLHjx+99W8ZWKxPIYVwzxigeY84tkNvEIuRLwHuiC8GtgOupdvzDplSY283S1zvHYfQrs/KVa8UDj5O9HqYr0o8OA7AxGzPNgdUbxh9d08X24wvL8/tTg7IAa62AqAvPnqq7l3Sc88kWl+Oy9csjy2+BW9Z7qKvDTo17tNIwM9SEMZPfc1BD0uWRk8CfJbvAjEpLwADAi8lbMUOxGRhruCfdk641rHvB/1DDyLYak8eU71uteprrxEec27NmMmPD0IBryJmoy8UTTPPMy9Bbvv7bw8FYOtvKTnSLzFl2i6T5ImPLGDk7xWwSs8mp7Pu+g59zz1QmC8a5zbulViAb3K9/W7d34ePZS5qzwOA/c8InMwOz52wzxW5xc8eVAoOu0Lwzy9QAq8QQJIu3gu0bs7P6a8MRYavBoztzyW5ae8KBC+OacThrx8EYy84wdivPRMD7zdRQc8FFbqO17OnDxU/4g5uKyyPEOGijw01Ck8QN+vO9JyML1HGEi7YRSEu9c4O7sncqW7FB3kPM8ZMrtJaJw7QxyiPEpGorpEdG48Np+fuyoryzu0hCQ8abzdPOLLEbw9QqU7m4bhvN/sUDygvAs7SXNHPLs0s7zNvcI74g5CvCF0pzyeGhc8u6CnvMoTcTt8Kem7CadkvH4rgrqdGh28VLdIO4JKRrwI7BG8eqXku1wNzDuS7x+75vEUPFi7GDyU9Z86WSc+u0YN6Lrn43k8qQrHO/dKoryiWpw89LeCu1ezTbuyJmy8nmeku6bRX7xwPg29SDGyPL8JET3Lqpm6lANIvCO5E7zZX5q7tv0LPPtqYzu8dSu8dbC8u2SC/TwQn1W7OiF5PKZd17wIe3K7LQJnO0FxRDoGbk476wDWvM9zYbxI1gM9INYMPUUy4Ls+ElE8Y50UvUDQ1jv7xO68D5hgPPiFkjyaSE08WBZePCRygTwIIyc8YZh1PIxv0bx8Zla89O59vN/dzjuh+W46DQJ6PBRBBrwHZcs8dCC9vCcMs7xE9DC8Qz/mO4MaTLvhwvi82aNIuz0VObzrJqS85PqcvHhhMLxTloK7slrZO9k8pLxVIJS8jZP/OkeFl7xgdhW9wreVPPPmDj10UGi8uSiPPDOMbLwk6Pi7UG9UvMiBujxWa+I7Jk8SvIc+0jofLum7sATVPEvdDLpcnyU8XuDSu6aRtjpCJs28/PwrPOgWorupiNA5yUg5PH9qZLxDcM+7VpwAO1QG8TtbqKm88lSGPJFFDD1+mZg7ytylvNCRpDv3aMy7D+aGvJ8W4TwUq145PSahvIhKpzwBe3g8mmVmvFUIhzxAVc+8YLx5vLE+hbx87+67QWVDOy4I87v03c48uQgiu8xwTTtNCPe83tEkPL2b1LuggDe8+GVRPEMpsTw18aO80tcTvbFNfDwKSRW8GKS7vJAZJb1JXXQ89fKEvUravrvnmue8m4OjvD7KKjxzXwc93y/0PMU/VD31r60865EGu93oqTz4Y4E743u9OmY5MjnmQmm8fNaJuvRZ9jxdOzY8aJQcPGY+qDw+cv88pb3sPLZqGL0N3ka7o1WePAzKBzw8s8K7LhE6vS9p+LtLz+u738eRvH/8brqkxHM72kFcO5BEgjxK/Hu8kQAJvM9drTyNETY8/t2CvG1SNbv4XmE6DgE/O8X3G7x0Wzq7e1PnvLCcmzydwFu8LKHjOt6vHDvMNQG7ZQbZPASvjTy6yNG81XItvKSwoDtTZEQ7q5+ou/DhJ7x91BA9GN6cPF4GzLyN85o70wz8vOd7czwJwse6lcZwPAQ/BryjspK7UvAmuj4NHD1tkhc8ldfdvMmMirxk3Bo9MQWKO0EZLTwDrRO8PnRBvNAn0zyUoai85VUWvORFAL15+py8XyDjugK9rTt6hms9jpAJu8mOnLpcAxY9C+WgPAgsAj2wi1a7JY4bO62UtrwOC6U8pQp1vdln2zrCbGk79DiKO9kj1LzEkkc7izFwPIn7hzw6+6I6/G9ju383ijwGrQ674s4fvK7vu7qlFau7KH5FPGd7XDzJwDg8UVlqPI3Eg7z2nIe8ZiG7vBZjvrwiggS8mwMQvHdk7Tz7yes8aB8cvSCrNbxxzSi8IqkFvCsdvTyvwT+83GkOvIKvCTwbTcA7A+ChvJT1E71s2jg9iP3+OvmviTwZi1e8WaUtuzgyxL1E6Nw8/b8LPXDRqby9kM68KvEDvXu0BLuv9v27q7HVOl5jx7sXTzO9LpTiu7eIkzqpJcw8y1ZIO9GxZzws2F86HLeTPEyZijtIPpW7x8ffOkK9ursXL7A8UCowO+1tczzO1P88JIiXOi/KtzwqMDi8HD//vGB6szwbqIK8C6PJu39baTyBXGC8omNlPFwzzTxgmSu8Zj4cPM1YfLubOhi8xgM+vXBO6TwL8UY8Jxu+vAVmUjs0F7g8qFDXO4KQ9DkufEU87SRbPFlHQLzFI0C8seApvWge8rsThVy8M5icvHr7n7xDmW08/pstuqhN4bxOeT69snGvPEjs67qle3y71DjFPBOeXzxykY28a9TVvAqpeDzQ56y82Qbeu9AuA7ykhAY89p/zuztYljyW5pi73qySPCNPV7vWrSc8zAabOz4B4LtX8LU7oKEZO9cmyDsbgZO8IfKgvE6cjrz3Z5e7iYW3PNTnvrv0PmW866VTPM4Ml7ywX9M7launu6S0XDwFyS89WK2OPD9gGbwpnuu7MWoPvTN/iruFHvu7QHbjPPlT57vydkY8rIWrPGBW3rvMJ/W7BUWPvHNtzLuiwyQ8SsSEO+sAVTzvSte8kIMVvPYKDrzBYP28AXocurBJCDyMZ6A8Zf+Pu4hrNb0h/Zc8TcbPONARLjouadU7obDmujQG9LsHww+8ZDTZPLfQqLqhZDy7kJtSvPZWIr3hkio7ROJhO8P7sryuyRq5WAMVPZ4+pbydW9i7B1qoPHaFibt+EBo8sExYPLtp1zuO3Q699fdiPH5eqrxsJo47jb0nPCPPjTywmLg8dcA8vDgAKrzKp9Y69rO3O7qJcjxFx1C9Foi2uzBaO72H5By8yf/TO8+be70Ug7s7ppaHOnfmg7nnJFO7IfatOxD2obufNTU8Rl4FuuppAL3sWwA8+/BPvR8JQj17CY45FhMHvGULgjvuUhU86PQmvNFmlLy6mxM9ZJBDPIWz+rybtJS5neKbPF3jnTsHMPo8yQ/ePCbmw7w6cm48rZDfPDYBIjw9use63qZaPGmb2zwBH2G7q2hVuxaEGbwR2nO8URekO/wX0ry8qng7gPVxvUU1wbyTCOA8Gi/kuzUJlju5ocY8J1rxPKJFhrwfL5i8yH08vP782jysVXY8qvQePEe137saE8M78XrBujyoMDxMNkM8TnWIPLA8ILw6Owm94aPduxmXJLx9mE48yJRZPHme5buJwGk865T0PAEM0jtu+iI7bpAQPA4ulTyoAq28t0jXvPVVL7xYFNE7GQkJO8VpuzxOrp+7usMbPBD6IrxWSls7w4JoOuEFlzyg32S8SgWHvOUn3byHG028sPHFvI/1ojocMiy9z1lGvAi/zLxNt267ia1PvGZ3mDv2G6m89MHOvLYQn7xXPRM8hB4OuxQ//7v3s5K8ZM9DPaknW7tPNr68ZuCGPBzq7TvRAOY6jVqKOxAJWDzAipU8GHB9Om7MlDutE+s8YafnvI6vmjuuOlI8BF6GOzLOlTqcnxO9+xuAvPJ0lDxu1AY7aMJZvJhDJDwUBx68OREDO2UyervLdGU8lDT6u1b5lzuYX548HrXiuk2ll7xZKq28X+80u3megLyQF/W82aIVvAx03zxvMmo7KUCBvEl0mzq9V9K83lL6PNKNgbx7Gim8JybHOy7dtbtQo6m86QkFvABJNTwQP/Q6FZHOO2xfEr0qLoI86vPsOy6cOrxh0NW8+XNSvB+QQjm2c4O82FyEvEB2szy8ZQ49WIIBvaMCKbzyOfI8aN1bu5csUTyCfQI9Nc3JvBzNfDv45oE8KTP6vCdDCDpqGEw9pcUMvBUBVDz5g1U8mPXRvIcKhDuLtQE9yM0ZPOjagzoSrj26cUmHO/UhzrxOBXe7b7y1PGw/s7tkED48Tt0TPQr+rTwf43s7R1agPEMgCrzaZIA8gJfnu1l5+TwT1qE8rrq+upGzibvlExK8DtEqPO+cs7xNrLM82DGNvPTpvjiKyro8nP2BvKyFy7yoOGk77HIBPRPqXzxhzf08+Gn3vOnz1zwiDGc7oiYWPLInk7wwuVs7GJsJvP1Grzxss2g9Cl3JPH78ujw00IU8NWsRPK9dyzx8Zku8lWNdO152VDxweB88UVwtvb3N0rt52qC8ShFBPMaQQjvOcZ06TqCtvO0pNLysRSi9+lgauxQ8AT0w96k8ijLKubni5Dx4dOW8wQEUvHIh1bwhXoK7r9e5PA8u9Tx6okO8ymLiPPUJpjxJFIm8Qfc0vAf55ztGfv27fQlvPM0hGb1fbt28DrhMPXmPPjx1ViS6POpwvNtP6bwxHgM8OjUnvAeztjyR+EO7faYEO66wVTzorBG8an/oO1Xq6zyFH+y7YsPkvHvG97vzlOQ8SsEOvKyYSLwMIeC7/rHou1baUzw3Rse8yktkPKXBvzvm4G48zYJ4OywLGju40j08JBOGu3AworwelXi8Ve4UPeFXD7weDg69PHcDPZn597xszhS8WJ0wveyBFjwUhZc8XYkhupFy/LtV9hm5afLMu+qJqrwn5DM8TUPFvAts6rxDnFY8pYMAvNrZaT1ZbXs6TGVbO+3xujuV4QU7XuQePKIEAjzXODM8uzDOvNu/9LtHNvE6dnM1vMI6b7z61oW8a4POO3CncTsFusI79TYMPVuPKbzzrTS8MpVlPOGQiDzUKTu8IOcmPKYVaTsIu7I7vVNPPEVgXL3j6AQ88L57Op8v2rw+Dl886N+dPNhFw7zjlZQ8b0hePWyMJrxJB4y87PvtOc5FjjzuaQ28dc+cvGaYCb1qw+A7f+cTPGfmzbo+d2q8w52oPAV0Try8b607HJO8PItyATyTXfI87suSvFnXHD2qtAE9FOIZvE7xJ7wTId469D8FPH79Gr3MnYU7Zo0zvCgPGTyjSE67MWfRO8sj/7zUpim8N6LEuzGkkjynXfg7gnMNvXzLgDyT02K8yorgN/70orsY2fU82oIvPJWjejzYj9s7lK8ZO7ifyDyo1XG89AC2PP1vPbzrTJe8vpALPWNFhzyeSvo71DjOvJoUgDs7tIE8Cn66vISk6TpUTO67ZKqLu3uToLy/zwW9UraTur2HJznBZkO7ospxO2QG4bsY8Vu7P56/O2sP6bwkE5o8apshvKDsSz3dh607XWsevHSXFL0FET28pyUMO9XI7DvzLYs8hdEQPQHJxDyIvdW6JSHVOwT2Sbual4+8I5IQvaZtUjyFAAO7/zPMvKHNEz3zuL+8MKKCu6JTybyV2p48/VjhO5vKN73SXpu87j/AvPCZDDtqnAi8XRthvaw8iDvOpAS8VAr7vPwEpzvt4R29pDYpPEN86jyNPOq5pyQAvHTkoDwFq5C8bP4kPPgNzbvxns08xV9Tu2Klorz2mFe8ih+zvBn96rul0SI6v6zsu95fnDgED127iB0kO0m3frvIVUk8UBkEPV20oDy5lQo9f3yGvCTHOTvTbjo76nwfPVq6Y7ynNeA6AA54OxYMBrwxCGG8tmAFvb7R3jyGYvg72cGDvLb3s7wOvso6+b7gPCaeyTtrE5s8TToLveQj6Dy6lNg7XvNCPDUx/7vkwLc7hfk3PTVT7zuZizw8jB+APDhrTD2E+Sc7z46YvKmHObzEHQi943YuPOwCaLw4+i09JqLTvEpgsjqVDcm7UeAaPJ98Cb3yL7U7EkaFPHjhFTx9PIQ8eCGau8qXWjzIiwk9dLpePKYdgTz06nQ7FfG1PEdLNLsYBOA823nNvIMBczxhhvK7KWk+PXuUc7oR8pq8GDi6PKz8Fr13xZu85SC3PDlFjLx7oj88++TXPIilJDyksJc8K6Jku5XiBz2dWTQ7B4oPPcQHtbyEMYG8KhafPOyWyztsjD87VtmevAw+M7w3ngc9N6l+O1y4dDyvIWi7pI6mPPwQl7wy26I6WMSnvH+NDL3CkIu86GHFu7UsJr0FIKw77Mqsu1l8rrt1Oz072pmavI9fFTyP7TC7qmkIPUGKRLwXi448MMqiurjEBz1GA2G7tZhIvCjWET2Ymdi8EPKvPDJVK70tBHC7QxEFvCWcTLvvTQy9O6JPvKTWkjuo+y68sFznO8TSEb2F2oG6tWaMvAtlrjuOq4U8fpV+PZl0Ezy/Qkg8Tq+2vILijzyJGqg7VBePO1tKgLxx9wA89FDQOjB63jxrHUc9zKWjPIxsIrwifk28EjIDvH7r6rwtCeC8x1zLvHMqpLzhfDK9yDoTPAUPojvu/De8pfUhPOukWjz5SIo8u1RAvP6VCL0lbxA7mTcCvfkjFzzhr6g4Gu+jvHKelTuKYCA7xzkRvAGrdzzYWEA729SluyspnTzuhb67vQ6CvKsYMr32D5a8DhnjPJWjYLyMUZk85CJ9ugltXjw5GRE9x/+7u0Evb7tKWKK8/SYOPY6IFjv0yyy8gDSLvJO4nTybhrK8eDGcOfFAvLxdYoi8WMi4PCdQDr2skSW74PDdvOI+nLyGnHs8q3yyPBDYWjskzJe8qzdPvNTY9jz+lbq7swv7vD5ZZTw9UUg8F08XvARNy7yE/8I76oa4O5Klyjoc1iq8+OuJvLbKB7tlCCq7J9B0vLeV9Lw+dUQ8yPsLPVHj7rvst3G8Ggb9u55o2bz8yda7gAr8O32hGbu+baa7eDebOw+s7jyeaSe8duDKu3I8oDxwgrM7Ccm3PLo4IL0aYCW8l2sqvP10ObwV0Sw9fyKiu0kXkDy/6Du74lnGPA5qqTzWOf68V4OhO9uApTwrbKE8ymvBPANfozsPC+Y88Vj5PBVOlLzmjZC8WDCOO9IqAzyDFwm8b3H1OwlQCrxb1OO8Dq/Iu1mMQLyWB/874LvauzuFwzzqZ+Y8FW7OPEOz37vbzVm8IjdrPZkR07uiN0a8ye7hOy8s1zuTpzU82WthvMiYs7soWLk7XYm0PFhzVTsy/R8966XFvH99BD2dIoY8n44pPNXovDwnUQs7bk1WvPpMDz3C7Uw7YqBuvHAQnjzHDzy7rQIivQw+1jyk/+I80IfBPDj4wbvg1oY8F2ITvHccFbvcnZM8f7uCPGqOpLxtpku71vDhu0W3Rj0L/5W7QCchvN6gaLysb208H+Oxu/e/sLsQ0Os7LgscvPpgkjvaLe+4wKADO7fRNrxMSNC5IxpUuwXtpTyN4Vc8raH6Oz6gnbzY06271QKBvJhaprx9vK67EPaSPIYsQT0d8pc85cp/O10qqjzrvba7/8ImvBJnrLwHsFK7uwUUOj66Nzx0bSY8gfbmPO8jR7uNH6E8z20NPe5QFr1Mw4281ovCPJuDq7lZH0M9t2WeurN0WrudFkS8LFI1PXbtKrucyoY73LBGPCHr7zvt3/E7BeowPfca87zqEwa9WRXfO2YkuTzBhS28CZrHvCOY7TzEJye7K/AAPUr2srwSNzY8TX9EPWtXi7w7uEk8Mka2vNhAGzwMqMA86G1MPNsJrTp69pG7eQEWvNZQtbzJmt68SxWNPDkRpzyiHga7aaMMvYCV/jusuWS7k0c/PeE0E7xgrxi8kuy5vKFHgrthzxS9amCJPOyjgzsY+D08jfxfOsXs8zvPZxk7RMgtPOou/zmhT4W7tuiXPAc2Fbx6ABW9PPx6PHztA7yWXHC80pBNPIItSDwrJcO7Dza8vHxhAjwBFZg7jCk3vHSyzby9K7m8RxP1O4hrXDxHXNY8cg/hPP+e3bsyOGm7DAGbPCxd6DtPsEw8uQWou3t79jctW1A8RczTvKBGXLxo2iI9eE9gPMrCQbzdipE82pHGPL5EjzvfXEW8QGlpO4DEarxkVGQ8/QOSugudxjva4gi8SgoNvKabnTx5jjo6H4mFvHQXoTwLikk9StNGPSHsEr0nLIC8zybOOhXTED3IyU079By6PFnJKbwVWG88sRLiOhK4mjjN26m8TncovMPMCrxdHco7eD60PF5haryDbs68BH5Eu8Fr7Dw/0Iw7qx8DvVgwvzzdqTe7cCNfO5XzqTzT5gi87rE1vJeW6rwPQ2W8EbtEuwVgGrxiHaS8VkIdvBnBlDznnSM8rF/aOlJlWzxq/5W82GEJveTaqLwILh08yXTNOzKjiDy8/+e8G2opvHHLCbyMUjS9tdSsvNz4tTxWmiC9vIyNvI9JXbwohv+7qrMvPZaHhTqznHa85e24u5BcNDtgtuC83krUOwEuAL0V96+7j7gQPOnPpTz+gDe906oPvfyQdbvmDUI936ILPAtS6Lz29WI7JyRtPOCG2TwQVhY8y9chvAOX07tNBPe8Unhdules3rx7wOA8ZACWO5VwbLzNuoC8zRZHvLH7nzyP6sa8piJgvGvZQbxWzaU8b1lvPBEj1DvF0Qo8PKyoPNKloLs56W885ABCPNWIkTxGj9I7k/9nvNXLPLwCToG7WEy/PF9dsbzkhxm9nDSNPcGSZLvQVOS80TctvBxdJbxMVbi8NgwKvKuZiLxDIly8YjqHvEc1+zsKncU7RnklvQ/pKLwEJMe8LlNePN32wbz045u6hVfmPJrbELw3Epe8+lj0PER0GjtKJg08QOevO+SAVDyoDLa7XfZrPBOmUbzDYRA95MDUuCGmmTwHctU7wQUkPINLPTynXT+9720yPBV5sjzjMii8P6YJPcWhYDefSAe9DFaHPOOnhbwQJwA7gLQhvZjqubz8jBk86EB3vP2kBruXgzW9ikO7vC3iNjx4a745IFngvLfIszrCQV87V48UvPY+ijsJUFi7iBaPvFxo4zwTkBY9kcNGPE/ldDt3IXW8lgmTPB3qtTx6Plc8FtixvPuFkzzKoQS8TG+cPELYzby/1Na7rbBhvKpfrbxGD7A7YWFcO4uCxzzZCW68wC+3uziHirzBxfY7db/nuoZvazzNzPk6p5+pOnYSmbkiR7E8Qb+qvOuZ5ToPR8i8w4w/PDt8NjtKZA882jhHOwddV7yATkW72tiAvJAGD70PnfG8Ji6lO0/tpLsxKzm9nx8ePAcH3zzIX0Y7P3aIu8dFQj2eY/q7YBEJPfWitDsQ0wa8U+gSvD7SBT3FILi849GjvCnmb7wkcUS8rdqDvGA+nDy63p083UTeOvgR6bsr5Cs85KUiO3UC4btEJYa8iykHPIpTLTx1/Ay943aXO2Wyozyw6eG8A9r0O0LpA7zdQeA8lZpxvHwCB72W0Kq7UHHvPCT/JD0nuPo8LEkxvPVLTbwZ6Kg7VZ+uvNjwHTx7oQs9pw6wO1CDzLxd/d66fcyoOw2Or7x4GzM9JsYPuvlmE7y1BKa84OPXuxUi/7u7dJG8ux43vdh2ETx4/UC7OQPQObSYFLyG80+7YaCku4WYFT38jXy9rjVgvVJ7TDxB/3E88RW2u+eihLyBZIQ8OFOvOwoBwTyeDEm8RyW/vFwrMTxaFhy8QQz0vKY8xbzexcY6D1J4OqnMdbyYYuO6uXVmvKfK8rxxL/e7o7w3PPPAZrp9hNQ7+ta0PKYrzjlt9m47f9fRPMcPNryyrjY8D3qjPD3SGjx8R+O7sjOvObB2A70MNFi9HZ1DvDC38juzVg+9s+IJve1WZLzGXQm9AIzcu3S0DLycdQA9hC2tOojlLzyRMCe86FjQPEZpVLwrt348cuXCPI1JCzsxER88wO/8PCg6pDwTDIi8vDLyvBWkCD3hnaS7TfBiPPEMGbwSP4Q8T5GrvNsdlbr9l4G8hRHaPAdsE727xYC8R/h0vZmkRDx2vhW8fAmSPHOv1rsyjIq7ItqevJucbTxYVDy8UChdPAnAuzwJErK7tksJvO6sXz2e51s8Z3dVPFqxvzxE7fO7E9N6vFfiTbtQ8So9PKWwPMLkyjtzpyQ9Mk6ROhqx+7v65868Xy+/PGfbzLs0nem7frI1ug3WdLuDeM+7n+YKvNwKKTwei4Q7oO6sO8HxtLw4IbO8z3oJPFkSA73WPoY8H2d3PM3hz7yxuaM88TxzPHgYzjyeZFI8My+Qu/OFRb0hgui8Yw7nPJzDYrxzHOa8SzOJuvmburwpyc88EwAiPTkv+Twmqp48sXtuvFVfAb0qDga8oSlwPNGCPz0Igne9b5rTPACYK7sHcqC8FA7gvFJwE7xTOZi7lO+bPFWY4TxI8Qc8t40MO8S98bxOdq+8RRarPM8+0bzUC8y7aoU8O/QU1Tze83S84ly1PC1JwrwItFM7B78MPVCsMzxlKFA8tfKNvKPamzzJJ008lwpnvPW4cDuZdhs9T2CdOuinM7wpWgC93BxRO0Qt7Tx5Eag8fsnyvHb4Ub0s+oM7cTyOvJS8DLzERKg8ioUzvM6ngb0+yWM8l4XOvJ8aDr3HG7c7I1oWvJG4mLwRTo+7Zr9GvL9nyDxEBFw8oZHyu5ePjzukmxQ7a70Au//PeDwOX8c7wKiFvJ9OFTwxhoW8H6ldPKKTqLzBKqc8C6FNPa7hhbxh2+28VkPiutKB0Dz276y8sWCdvOYPGTyCxWY8tw6pPBuSe7zPCYw7L+2CPEzomzragUo7oeeOOyvtcrvYUO87/oCMvDCMlTsr8k072JsAvPp6GLv4FFu8n6kFvLEc5DvZ8ze9B0alPNDAlDuVzQO9PxEbu1XrXDvB+hg7lqCjPD3MHLw/85G8e4jEvJf+0bqV8gG96YXZPCrEvrzcf0Y9VAGYu0iqALyaGD65wkwJvXA4bLtIacm8H/uOu6O0WjzPYZs8hAWvvK3oZbueKmq8j6ZIuQ/W/7xGH2K91StMPTlgq7xQxBe6Dz+mPPALmzwmzBC6TgiEvFa+KTxfG8i8BUKJuytAazolHhc88qpuO9k6s7pXW5K6oDvwO6FW2Dz57QA8a1egOzSKUbzOyx+8R3WIO+gDNzpygMs76KHGumgxibyUjAG9Ibi+vGU7sTxWJzE8bmqLPMj8DDs0fv88qrBYvAW2orxaGBg8x2pVvCgPr7tFWnG7oLkHPF8Yvrt8XYU8jHydPBTiJDz4o4U8hc0BPebMsTzYWXy6Pq64OjdziLyOsfE7HIOJPAS4GLpku2w6ilG3OppoIT1iKO87OGvFPDx4sDzVh1+7etIKPRUAQ7zBDJW8OkKhPCANhbxnOJo8elo0PKjn07xn0yo7c04PvEA7xTyHpY28psbIu9aJHLyIdX28qM1+OzZeZb1hpWO8XbXrvPdFljpAhrG8adfbu2RZ5rlx/KW8pw8YvfI2qrxLFVi8hIqKvMi0mDwlwOY7byZXPJe4xryZcpI8xleDvKH4KbyKpX68VTp1vOUcYD0oSKe73rfbvKEzyrvZwgs9hKrSvN1VebwDvRG82CfRPAT6vbwxGJs7JJh2PB15AL0xFbQ8niEVvK39MLzMBaG80pbvuhvydjy2rA29tg2mPAaierys7gq985xHu1gw0LziCws9UUmfvLL1kDyKLa+7tNYrvcpC1TsEGX+8WQzVPI3Z7jrtQ8M8qR06PKPKULxOs1c8RnLRPBv5dDyda6o7kW8jPOltWbxoJBi7WJ0Iur8J3bz1+8I8lHzIPKFlhbya3J+6802Ku2mNsDVcFx84vRzAvE/H6LtzavO8DIRMuwg9XDvSxta7WhCwPFKiNzygtxY7l1QnvCDLkDuGAwy89/f7vKdy6Dv6tvs88dvnvCtOijwt0Lc6qFA+vGoCDDzLTNs7wQwAPP7/tjzDHMK8LZVpO6DR8Ltk/+u7DsDOvLJvlLxpC/m7XjfUPA95gLoJPUw86HnGPIRSL7x7TJg5QDjNO0nsyzwzUKW8DP1JO4WotTzsV6S7n/7AvNethbzxA4u8/cYFvBkPmzxZPo883DUrPV9e3TmpdtQ8qpVZPDu3/bsaQtk7ei2wvO6wczwltcG6SHq7u5AP4jwM8cE8nZr7u9ejZzvml9W83TkHvLnpOD1qJC+7ceQHvdhPBrwi1Dk8rsrXOup4MjxfLd+8FN2uvHI/ObzaVUU8mEeAPAnC9TxkQBk9StgHvat3Hr3YXn+7SjWwPBLk3TzA4xW7IPL0vKdIkzzZVMK8bVnGORxmH7vGtze89UfNvE1HPDt6PQe8KUAGvUp8Oj3MNHE8GFgAPAFmCj2xNGw7NEIXPGE+jzxTjSq96/QEvDc3hjxlI0i8Jz+Buw3vuDtx5pS8DJylO1pBmrtqh7A762PxPJQYuLrafmK5fY3YvIVJtbxsBIS8RRWGPHoSt7z7WPa5Ov+lPGxaRbub5405F9LSvLVhsLsrHNq8KivZPKIXqbzQ2uY7bHoLPCPrxDsRUvk63RYEPTF+sbwQRji6gpQKPc/7jLwrGV+8lY+hPFlKtjxbSqo8uyqoOkK0EzwXEvG7/vgMvU+lkzscpZW6kvwBvBJoSj2OWgY9O9i5O9lkyrzbphI9vKywPIsQJrtl1QK8GLqkultfMjyRrhM9O58QOwFg37uYFQU9Wn2SvLP7Krz44GO7rz/8vHILrzxU6Q68MbSrvPHDBbrLEnS8e1uCvJWHrzwZ6Va44dOdu3E7JDxjCoK7vLmvu834WDxi8iS8CgYIu1t7bjzNLC898c3gOquZHb2MzHK7NwQLvVnblrw9Kpq8agJUPLuWoDti9LA86trxu+XfMzxpIs88S0AJO/XKMLyjpvK7Ret6umZkVbx5fq07v80uPRXWoTwglj4792e7PPzxLzxv6iM8RnWkvGgCRTzISbY8B7JTvEv2tjywcZW8N+Xru81X5LzehHW83raRvB9eATsrqPi7qqaXvPvHcDy08Ik7Z2BPPHahCT0Wv4061bCSPCXkB7yIGce84yrCvMIQDDx8gsY8bOI/u7QnKbyxlrm7ekZ4vB0yibv5psa8wv48PPZD+rnnOPq8dH+eu/ynu7w0lJ68IcKtvLXnirxkwaU8F3EkvIEXarwSVA69pXSiuwu1lztqPiQ9fZsyPFcdcbzxf1C8SFu2OwDjobxZ6GM83pFnPBxUJL0KG7w8kB8GvduABr1Bs3q7pBEEu2c36bsZ0tW8OdQWPdw3x7y5RMi87NRiPMrM8rvrREM9MkTJvFAGXzxABUe8cxJBvIi0uLumGi28NXi9POJANb1m9ai6WAWMOoP0KbwdCqc8tjkEvIo9TLt7dtu7IHEMvA8f4buNIC+73zckPIiVhDvOnIy7iEfkO3UgdLxNbvS8QF4FOaeFsbz83IC8FaHrObOtKLxVY7o72Jatu0uCcLvYyK86IMrTusVRTjywdh08DBuDO7p4ATyD9sK7OiOtO7kNBTy/m9M7feKTu4ElQDwf2Qg8x++SOw==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_filter/test_search_with_invalid_filter.yaml b/tests/cassettes/test_filter/test_search_with_invalid_filter.yaml
new file mode 100644
index 00000000..b6252ae6
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_with_invalid_filter.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_filter/test_search_with_no_matching_filter.yaml b/tests/cassettes/test_filter/test_search_with_no_matching_filter.yaml
new file mode 100644
index 00000000..b6252ae6
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_with_no_matching_filter.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_filter/test_search_with_title_filter.yaml b/tests/cassettes/test_filter/test_search_with_title_filter.yaml
new file mode 100644
index 00000000..90ad9ffa
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_with_title_filter.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '89'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Programming content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: SUczt3HdMzxUVMW8wYklvNxW5ri3zzo91/xXPe+qkLysB448OeYSPKG4Ez3lrc88lHNBuWEPoLww5x49YwxxvRch97zl2yW9vWVoOfmvzbvDeJy8bo/aO6Msjj3NLJG8MNzFvGsRvrw8sq68SIyUvdavAjw7hvO7Qyz4PJ4cd71M/WQ80plMvNcA2jpuNVO8bCUtPEiqJbxgNck8rMO5vOo0STx5Mlw8fz3dPJ2rbztxBm681egPu5smBzwg+Es8gXqpvELYtLwBGoM7NpWXPEtI7Ly4zA+9pcUJPOjppTzhxuy88Jddu/IKJ7xh+Fu9WdmJujUICDzIdPc7UqlgvA/9Vrsl7Ey8U7pwPGJCr7wXWXM8zYolu/S5vDwfq+w8O4jMO3qYCT1Y5da7WTX0vDFRhTrOH/48XpeZPOYjWjzoJwk9I2kDvHj9gbzj+648GZcdPNnPdrx7yJA82PWeu8stGL3W2wo8o5QjPHeYP7wgiQc8aL2cPDdQ1rvDKNS74H40vPbqq7x8iMC807U0PC94cDsARQm8ggcgO1tjULxLURu9TqOMvD/qJLz4RB47iJAnuxHPWbxTRae7uoj+u0YKDDxDjt27n73RvOi2lrwZAYy8Ay6RPI4rgzxaQFY97d3LuyAj0jw80O07NmR9vHlxRTwj1QI8v7ZavB7I4bredmK7/FpiuZHENzxppVi8DKIkuV8d8LxKRgy826zou034Jjz25368/JKiuwGBAj0h3Je77ykcPL9gXDz/dgs8vOXPOzHjmLybVwY74nl6PFZhTzv8wYo7BFDWPM8Fbrn+oII7GidjO602yLt5gyI9ST9XvOa/hTy33kk8orsDPImEpLzvTGI81egivBBoMLez2FO8gvMtvH98tbxfV6S8ewHeulzGBrz4vRi7A52bvCBSSzxD0Qq8iMZlvD2dUDsUsvK8NYGBPKjWHLwR/qK7k/CcOv68bjw3RDw8e7Oguy2PgTxp7JI8DXfHuTDoyTu971A8Mgt7PNx4szo1UYo7hLauu/a8czzn7Mi8kKMrvAlnx7y/dZ24HA26Op7bZzyMyIo8/1nvO7mpzzwIGe26rBrCO2JNerx7IK88EiANvJLHljz69JW8bOK5Oguz87zhgwC8m42dOsiTgTvHWjY8fgu0vPe7DLzsXpQ8pbEZPb/hFbuMPgc8Dia1vGgfAzvugbK8rXDQPDJPK7s9Rf85ZFHhPOcy87sMZAc9Nce3PHRvGrxa2ZW8vjkHPba8ibsukNw7ebsmO7dagrph+pE59qE8O0Lwnbxzk7A8xRhpPBE9i7s0Li28bUtFPGe6p7yS7Jk6hYahvHL2gruzcfa78P4SPLSkc7xLLEu86XSeO5bkMLtLdu+7QJcSOwT1hjxtsJu7NAjaPCjeS7yWDBe81rUuPOz/Cb0Xts875xvqO1xNGTxHlN+89DM/PXql7ruSCQC8etvzOxACi7xyPzu7/BU8PIuxnDx8Bf07oAqUPDRZm7tLZ4277npLvACO6zoxw565HwV+vJ484DyyPKu70ApCvGsAKTtsQh48HakdvUrjlTyi5Zq7br6Su3xbnjsUdyi6Jl6pO94jQDpQWv+7eEW3vK+//7o4AJC89q6uu7hu1Dvs7sA8950SPIpfnDyoEu2814l1vCnaA7zAvs67lHm0O8oCCbySOru8DrZ9vYXrnztuyrG6N1rbvERmqLz0Ics7FIHZvGovwLxdSLS8fFXlvNDIlLz1M6k8wsAQPPVUJL0Dzf+83zUnvBrRET0rq0q7t7sPvDzbDTwHE5K8gRgmPJidOT2K4OM8JsM5PEo8/DpwmZG8/EThPP5hMzwGP7q8vfFEu8NPzzx165w8mEQvvU0oO7zX0Zq8SluZvLa4IL2iKpi897Q/PI4OuTw5exi92FZ7PCxkljwtmIY8tVsZvLFvkzxKb2U8Ibi7PKfFO73QxyS7KxPhvDAvjTwoCIA7PAqyvAw00Ds6f0m8uCoyPEBEbzznKpi7bYZ9vGPwJDyXTr06w/ASO9KESDhTWuE8d/eOO6etTbsBFAI9TSsYOb9zQTyEqVA7Tfu8ujkl4DzAXgE99X+avP+UULuX7lg8qAdqPPN3vDw7W1g94uOYPAazxTxx8sc7b2CsO97pLrzLU2S8VVjSvHiU2TvSiSY7MOljvDEYZDwaqj89ec8IPWtWMrz9k8+8oAd3PGvhdLpMFCk854SgvBdevDxuIxk8KK8cvefR07zpxCG6HxN7O+z9C710MNW8ftvFu42zG7zWh4g8tFjwOh2PGj3Isvq7HyfMPCoBorz6Bh28dADVO9DcFz0+cxu8c3lmPUESoLxrqzc7PgMuO0Ceprx45Ry81coKvZUksDwqiso8F6w/vWtdwjtHF/E7YO0+PPeeQLhTyBk8zAH4vIK05LtJpQ88XQ6Zu+Pfg7uz5Ts9plx1O+DMJ7yrEEK8hWBIu4c0wL3ngZ08MpAAPeP9Lb2eU2C7W2+XvEH/g7yugHe8FxqfPP9vHD0Dgre84u3gvHxF2LwD0So8qFxNvLjZJzt/LFi85IMgPGDThzz64xy7Kf1vPVqcULuNaz881x4tPNlUrjySYfY8WX5LPR70hjwjjGe8zMZAu21FK7wVvwc9FrfXO8tmgLwuywq8p4jlvO9nnzz3L4a7oatkuyRv0jyG43c8bp0XvIl0fbtoDWE8pHOXvHv3lbwYo7o8vRclvTT2lLyPlNo8Qbg8O+PQn7xgzt68E6DEvDnuDzyDiWu8Kr89vDxW6rzFQvy7vGbSuzgaB7zSw0g7s1DVPCUSQbxe7yS9SQDgPK69fjyo/Co8YaUQvV2K8DxIs4G8Kk+VPHUZhbrPoZM834xrvbZOtLxsPwy8+iWTPAgy77uSvG68FdBVvEUGqblGxaE8dKIrvBlGuLrsOra8O9wXvTSenLw+9VW73r7fO2JylDw2lhW84/1lPGVgubylAF07A70BPcC6t7v9Fsq7NfFtPB4cgjte+m674E2BvNk8ID1TxEw8putNvOPeMznPsCC8QEc2OzDoKL2oIQC8Us4JPAanzDu6k627UOeCuyYTVzvum0O9e7ltO7kz2bxDniW9fWpXPJ0WSTt59tU8yjTXurvgR7w22bc8sMYQPIkEnbyA9Jq8Cny6PBr9HTyByR+9aeipugVPjjxRKMq88Ad7PMUcG701Gzy9dy42vKtGuLtcevM7gxt8PPBy5bzHsq281vMbPYdR5bu1dWe5enjlO7vvCjyX+wS9zZaMvIzWbrz96aY8tQ60vElCnTsLSvY7XsclvZ5URDu9mkS8D2TWPDRGnjufi3M8jMisPNTWkjy2AQS88vAnPO81QL0HY9k7orZqvOuLCD0dgaE8+XSavE52hTwd8u88C+g1vG0ihTrnyQk73O5pveSjzTzCue87BuYSvb4PgLrzFOQ8nc9fPD7gpjwdto67GIZfPDyUlb1ZCeO8Ivr8u6XQqDydxi+9Ec2+PFuxPzxRH028ib7rPAfNLb1UmSY9E0gTvLyB3rrSxJ08WsBFulyxcrxY6Ek8RfijPCBkh7zZRyO7eXWFvWZ9ibz3L3E8JccrPF18GzzSZ9w8Aqy1PP2ULTsWqe88TSIQvT1yBTz1pSY88TT+POsihzvLYgk9UIlqPBZFtTw82AG9BV57PC2kCjwU5TO8lG2QPBn3MTwL0/48KuDbO2u3qjt35kA9ysXgPDijDDu7Gho8QkVfOg8Klzvq3BC8T3yVvBd5PjxQ6+C7+juEPOmx1TxmaHc8vcu3PJJPobx7LFU8F7H+OvgF6DxAFc28R2RgvPEjFb1Glfy6d6uSPP1fxTzbhV683XxqO06w3bzkaMI7kPpIO6HNjjx+0CW9Uhw+vDffMbylrZw86AelPOz8pzw626W8ixknPRj/eTxMLo68QV/FvIbnODxFUJy8nRrQOwlfLTzuJpO8sQb5unMwhzwRPLG8qOEYvN+azLpNxrg8TwtHvGb0qTxLOdy72ZrRvIdquzukoKu8BE6WOxlLNT2Nu+g8Q/k4vOFaMzyn6SI9NDHoPKB8djwonDo9ddNIPNjeHTzvOtW7kHZhPGSdW7zjN4K7Bj4APEMFTD0Gr248QYEpvD4a0jygSSi8dzYNPQ1Ojzwyhf87y7+LPHdlHDt0c+y8Dz4ovH+iTbs1XGe7fUUQvfrxvLwZEG08DGK4vBuLhLzHNYC6wujXvPytUb1F1Xu8KacpvAfYPj1rlo67egOfvOt6pbnRnRo9G8cxvJedI7wWR7y6WlZDvTziibgF9Cw8+A+wuxdeCL0KBu48xmSqPCX4FD22Nos8swwmO53mgjwfZq477ZjKPC/FL7z5yWm8yAADPPOqizzR52a87WagPFCMA72kyB+8VynoOgzFHTwS/7E7ifzDvPAR6Lr83RC8X0fSukkfIj3R0oI7XfubvJXQf7uKI0U8lDcTPff2ADwubow8FYhrvJHoxLzNUcy70pECvdbz6bzFt1673hGCPE+kcLxrJUs9qLFZvAu5JztazBQ8Vq+EvHoPDrzt7pG7Lf8FvDz2eDxcdQk9w0BnPGyKZTr0FrC8hOG6POOFcD0mfba7KKylPFDckTtYmy88YwpDvbog57xg6qA7mQi3O+us37xZnfW7qB3dvEehiTzHP928YHLKvDQtQDye8A28xTOUuxjs4TwULfI88QLeusjfgTosbHw8gP9XvAPvBbr8Qxc8ddgfPclrVLxhJwg7Vmc9POWw67v4NKQ8DKaivHx3czsaWxW9WRsLPWMO+Tzh5fA7FxAQPYxYYTxDJgO9ilQIvaDdJbsyxca8jNgyPUMEQTxJAFy8Ngn+O8wxgjzIe/U7m+YjvBJ2qLwMBue5gaLZO5Dru7tyfQW8jWHBPLV6Gjz6RiW9N7nRO1vO97s7fv48JRSDvEnVvbwLYo48XJ4DOqCJDr1BkNy5VWnGPF59CbyCv/e8zQNRPLSdq7xZKZa86LNhPL+d3Tv81Gq7tttzOkGdM70M/BY4KasDvN5Q+zsB6OM8OjozvRpb/LujIAq80kqCPONhNz2hM207WwWYuXTKozzrs946x9UVO+ahED3yyha7TU2wvIL18LxBxKg8n0G7u1xFq7z/7ro7aCUCOq+SljykMKy6IKxUvO7gorxlYJW882xZPIF2BD17DdI8YptSu1IxCrwQOkS7UgFlugwuNDs/Yfs895qQvLBzgLz4Aqu8ZGsEPCrRX7x5TOc8+CcpPZ+bFzxj43i81stjO9AqGbo9hse8bycSPImcgbw1bjW8KEQavF4dBjwC9hS8dJ1tu+suebllaAe8jmu+PHJSn7vgqKg8IjkVvBJNCjyBOg08M2rru0KXDb3MrTq8SzmrPJN697w3YDs7zVxEvfgCLD1vyYq8k+8wPb+cEbskk6a8F5sZvT4n2LzOCJS8BW/ZvKbggjwzxwU8BPmaPN/Okryivm68BVBQvDxELTuFFui8IBKVvFuljjyZLGC8tiigPDjO0LsUJdy7YdtcPAwPNztbKKg8D9HruGFxwzwt/fE82S9JvFSqo7wr91U8VXUZvMNj07vXLgc7aiY6uibqr7t4jZy8uSjOu824Vjw8wK+7lb7tuL6yJLySYhU9lpzGO4HD2jxuVyE9dokkvG4JBr2NljM8yr6qPP/JiLzT6ko7tpEMPXR5BTwM1sS8KfwdPPjAVDvzR4U7LpMHvV49Y7rQt8E7OEjvu7tCIjxOwim8ilW6u70bejx+cFo8hSFvPLHXi7wqn+e82xoEvLExx7weP5S8/patvOeKnDw3bwa8R3VMvBTRObzOjAi9w8ZPu8KRSDxdTPe8uMTdPJgJDTz/hFy8uTKrvMOnA7w74TI9LF91vNsVI72AaIa8Ps6PPGhBfrrQcyY7uZLmukLHcbuE9yw74546u+DXDryxje07CZj3PF2yNLzoeQw9AoQhvSqGCjyuqu663AviOx0jcrxTvBi4ZPbtvJSILjyhWw28ec6YvDVkH7zt/oU7c9GEPGLDLDu5RpK6QK7JPBeNPjyfBNi80J1IPI6+ETy3G7E6VnwmPcwaZDuUT008kD9GPbdz5zzfPSO9aTE+ujBL2zzaTy88ZpQQPNtYUzwyq+K8culKvL7G6bvj7l09pneRvFoh3DwF1Ro3NFYhPGpg1rzDf0s8XaruOvixqbvIg9s7XPeKu94pPz3mnRM9HljzvJeqhjxv2K28NcsiPJZEczxzo9i7GelhvVR4IT1WfBy8Zs8AvQJDP7ykip47YMLnvL1/6byTA4I83y4gvHTZHzzD2Vm80Fc9PWs5gzwJCa88/dNivGCGiLuQEYc7AV8LOvWwF7xA8Tu8fDIkvFF7rzutpeA7jW8mPI70uTu2Pbc8vdbdvOLqTLqdX3s7rOGdPBiPp7zB0F08smGPvFtTp7zwTNC8W0WOvKCcOr1U3Oy7bV6pPOOVULys3QC7sel5Oxu8ejxGVOO5WnCaPJjVa7tI7J+6jvD9u5c/2DxMJoe8PJbEOzwRYDv6S/S8K45rPFBXkTxtBb674hQfPCO1u7oyz568qnoWuzo7/Dz1Ro28dRaZPNyChzxzuUs8g5DAOXKHCj3tuCQ9R1czPcfnfrzgnuM8ficbvV3vqLzB4xE7aEi3OmhzODwmBQg8R9OlvHoJmTrQBA09oJsTPfbRtLypMVw8DdkDPJ/vQznV1Y+8mcCnvFOipLxYVo27kXOBu32bpTwMuoA8R6IEvRBLlLvl+ug8SWKLOiir5byryKE7NfvzuyAHM7wSjoG8gto5u/kUu7z+YSI8aVQzvHLA9DyxVW07jIvKugz5RjwLZ/K8v/2+u1o42jlAf7K85097uzXo1DvPOzm80f+/PKII2Lob5tc8ktbcPDeu+rf541i9HbEQPGWYKLykhA29LIyHPDcFjzzoXLG7cqGOuYJ6BLyqjgK90U29PHH/sTs4BAa84DiQO5OPUTymib+6HTeCPP96nzs1QIk6MWKqvAGxTDz2+xG84LCEvFnyiTyAFse6xjUevD0JiLwtW047R0WCPLod6zoD2Zy88i/DvA+jnLxmnx288aKRvMja3byGPti79UFavFnMAjzHmT+7Xmj3O/uLvLtXuGw8KujGvEwb67yjBKs8Ul0+u+vfGbyThRK7/YuEvFh/7Dxu44g8o7SuPCIFO7yKww28CArSvEtUiLxu4+o7FTaUPBksCrwa5JW8HVq/PAONxztxDeS8RapjO4xgITwZj9i6EWxDPOo4ozyWa548k+t+vO2Yuzw4c7c8GneZPMIdczz4P967ZWUFPeoyPLtONjC8lzLfPGg/Iz0gYPM7rYOIvEJP3zxyVQy9FKafPIshxbzE+5O7+utBPYn7wzvsY2S4Tr+6PKjvE7yqhLO8IgbEO7z+0rzBSAE8o1NhvHI01Dytptc8L3vvvH7ctTtiMLI7iFCiPB69lroZq9o4HW2uvIdGAj3EsGw7aH5wvPLN3zxlawW8omnGu4Gssjwvd9W7aFdNPBkjRbxHmlU8jJdOu265+7z24Jw843pUuwfECb0Yjjq9/IVZO2NzTj2MPrq8eMJTvHScsDpOmeg8/2pRO/RJNbqbX5C7P+YRvOtwujvGo6I7lQviu+FZAb30qSy71cR3vJnlET2yc788kv+hu3OjELz6AZa7C4ZKvKcYLLxT4W681GDeO7+nfLoRCcE8JWZhPEdG4DwsGJ88ds1JPEdrNTybSiu7Zjp6vIyG1zuM/+W7DIofvYX28Ls88m26lmSrOzxfCr2S34Q7GKCcO7AKrTxJRqG7S9WPPDEytjyzEym8+rheu1jaCLs3MOU7E74oPZYBirx8PMk8rOl6PQ8M0rzwXom7zY/uO21mDDtd2qm8rrIyvVBXBzyklK879CQEO6fq1TusGto7M1sWPM1mt7xGuFG7EhyVvECFhDyBXIg7tr6uPKAQiLl60Rm9Bn1SPFlFqzs8nt689CiXu3q62LkPoqI7XOTGvGXvxjwhxLu7q01gPRLTGrz3C1e7Se0AvBwkljvmUnm8P5IcPPkMBbt1nbi7xvU6O+4/kjw6KpG82kdKPD7dJrxk5Uy85BHgu+2zODygrAk8hsZkPNPOrzvR8bu8XeSpu6MqhDxaowK7sN8TvORAR7ysQTW8vHoUvERYdTrqyLG8wCffu+0lCb26EBM9WzhjPJpVNT2+MKo7likdPHX1NL3Gjpo8dR3HvDp3sLyKCm08u67EvPvcgbwkuYk8R9oDvI0Bq7tbHFI8uy3DPFMbnTzT/OY8TBJxO2JQljzA/zA91H+avFzCKrwl+Qe9pShQuY8urzpVBsA88WTcvIFtpTyCQUI9KziZPLHbaLs/1sQ7Gfr/u8Y2CD2cqma8AyFKPHOvWbweU8u8KW2PPC8LRzzL5Te8hAYRvA//Ar1/Mpw8XMIVuzj5gjwg8aC6rdkXt/wZGTuJwPy7cA4zPD2/sTw7oIW8g+XwvMT8Ury7yfq7xTvLO5lrSDyQW6m8OsIwOzkWgbrwfJG7UC1CvGDkVDxUXz08KKhpvAX9k7y6saS87+ePu+w5jTsNt1o9GSJcvCmDdzyLtGC80pKevLqBHj1Do/S8+OEiPFdz57pdfNK8PPTYu0CjJbxkK5E89LLAuj3zeTcavy48N3LLuwTGTzzE9Nu8ZIJqPBI4NTxHAwq8rVc4PD9MsDmtcsq826sQvff1Ejw/QwQ9xeghu7g4p7lEERg82c4TvJz7AT0oI8W8Xi/5PBEv7rs2wsS8KRBqvE2CjbzaEJo8tMWIOxbQaDwBiok8kWoku7d4Ezxjbrq8gqV+O5byDrtOv5E8+Jh3PAb0OTyJdE08H2gBPAO2sDrfjFA8pDl4Owmihjs/mCc8ZmdxPELHdTxzkQK7Xx8evO9R4LrVhb+8ofESPVtaMbxt+ke9jxkqu64+F7yfZTM7uOosPCJMDbxOsSA7uHIYvcvPHjxmkKE8Vn2RO284jLzjP+a831XEPEgNZ7y44n671Xxtu5kS5rzF4VO8B+LPPPB3ELz+M4u9VVKQvE8y8Dt4It087fTrvEeTQrx+3RU9D8AtOhfdhzycw6Y7N/weOsrtKT2NPk+83YE6ve7dvTwsV9C72/a+PIuyKzwsU9U7uMfmO5yl9DslCjK9eMT/vP/o5ry4CyI9AGMzPBUoirwhGn+6TIQlvVb49bsiHuA8XwxWvBcUBDzFcoU8N3g5O/rz8TwZFhE9AaOpvJiCBjsgSIs8UxsqvLeUNz3cXr88I0RiPJgRRDz2Oby7FhkwPBgVlDwRGMq8+GJiPJIKubzL4Ze8u3iLvG1p+bm96Fm8mqz/vH149Dzgm747zEl7O311rTsVWlq8coD2u3B77DzTl3u5AkqFO5iURTxbLQM82kQtvdaQDrp6o4a8J8pmPOU0dTzgJRc9ks2iOqg41TuW0jU7ftYPvdd6X7xlm9k6HdTKvAf8ubpBg+C8KyXpPJ5qYbxpBj68/72UvPX4uDw8ZFM7HAoUPdP+mjzJM+w7RyEru7ZpBT3WWb+8rNBDvBoW3Ll6WkK8i6uMvKbumTw6zyo9Lr+UPIATOrzZq8482FWwPAU5qbsykqO8FGoPPH35GjwK9ZC8OHOqOsCVCj3rase8+fmMPK35lrzWic07vcQDvehwf7wNfZ+8De2DvBu1MD1PX9A86Kp0vIWUizzJdhw8tz3xvCQJfDxpE+08LRzivCXtujytP6g8gsBNPACf17uwvg08NFvbO8xSKToNdCC8O7g2vPG5x7xtaj25ePlOvHsrAL1viYU805BlPMcmprxl/7o6CAyrvO7iID0+Uhy9RnKWvEeMYjxik6S8hceHu1ahG73yIdW8GTQcvER2SbxChGQ7Aj/OvAV+9DynB/O70uwJPFiMyruLNMM7zDiuvNZGdTycP/E7x/iTvBmVjrykBWO8YieRumy1dzxQ4Us7SYkPPKmwvDzbGdq6mf59vL0Dd7zRQkc5j0U1PKxzmzxgZVk8KFcEPMG9XTvlAy68AEevuyumbTxBLKS8HQejvHqJXjyXCaG8bubpPOCODzyK55g8OMUMPKB/2zuLUNg6V4QLPJ40+bvUYtA8qNq4PKeHLTwy5mG7oAoPPfdEwTuncLU7ScnXvDjY0zxfR4o8C6WHO6JWmTyHuBS81DauPMI9QjwXxPk6MrcgPMylubkTMye9u6Umve1oUrx/eWC8rqRGPCc6grxCXd+85N0yveXXPjzukDM8+GQAPd+0arsn8dG7ZqdovMcKkjwQ6Kw8mGYIO4FITDziFpq8pTWTOiWLqDwItrc8v0rVvGAizjb4eQY9TnrWu5OKVjtyZSQ70cBNPEOMzTtvno46FXesPPT3VDv/8bS7JcoNvI71TzxQqJe5P0ywO6H4UrsNMAO7DOIIvPd3YLyqBD480qQxPE8bvrz2Yje70abCu6K56bsqypK88Sm4vFsiy7wng8W7Rg4CvH4RijzNJJA7lYFSvNgCy7zlVjo7n/roOk2X0TwFfFm8rSsAvWCIorwbn2m8tkjqvKH18jy1nfy8UQrsPAgyc7yUWhI7teOsPG0y1ztdYy29A/baPJ4g1Dwawz48OmI4vHIWmLzkYGS9glVbPU3/qbvdnsW8tbDJO4x3sjzDbT+82vkSPIalOLzK88y8av1kPOwWULtwUpa8gSWJvEpw5DyI3Ls829rXvFevszt6VqU8dRR6PLD3SDzCGBu8cPeOPI8mKTzm6RA96XeCPCRyeLsIHBu9c3CwvHc6OLyRFci8fpp6O44E+LwD3ks7Soz/uxlk77zz83O7bWapO+rTjbz3UPS8Qq0gvCtuUjxifpo5VQwCPF+9XLmp0Nc7RG/6vEpg5DtYwKk6NCOwvKFap7vgDCI8ovjMvGYykrtjq6w8NevIPJZPPrwIzOS8MLOVvK6lKTx1uv069ZSXvB35hzykHi26DOA/PHyg1Ts9HGe8M6PaOvMsT7x+hgk8Ma/3PCnWwDv8jJ+7qdhUPBK91Tztrae8HX3mvIt1GT1daIO7IRhovIVMjDw101i8jD4BPF/syrscmLy87o0jvLMNlLyUwC88dxCLvFJP6boTF8y7WETDu7J6lbkazLS7G3AvPK+wAjwExJo8R+HuvFp2uLwSE8e8COUDvOjU6bun/AW9chebu4RpnDuE/R28p1R0vELkHzsEyGQ8T+AZvOfzYbzjOUC7RUe4PExxKTwarMg7CGBwPOqNmzyB+Q07n7VHPL+L97tfrYO75LOHPHVLwjz64Qc7I7o7uso3hbytL/e7VSciPavsfDz0g8w7BHooPJSn2bzdJqc7klyqPJOswTwziow72S72vDcNkztfa7m8LLMtvCX25Dz0eOU7QMx0vDrsIr0jBsE89RHqPI15jTxGwoG8iPsnu09a3bw2TQi96pmcvNxuPryg2iE8aV/TO/FbDTw/23y87unpPN4DVDy7qiU8+bW2OyAB+Tx0foe8ci3du4tA3zyDqCa7m5Kcu5DOAjyUxXo7aowAPe8Cczxo1J+8RpXEPA/43rv6cuO64RIvuzbqK7018ws9/fV8PC6Bt7t0Iju60PX5PG725zeReSW8CEV2PC2aYLwIExO96QFVu9gFCb2btqe7G8wbvbVdBTwwCjy8XRS1PDJX5rsULpk8InmpvE4LWbt9UCG91UPOvEcvFbw44Oi7AO6wuwB40TuohYs7PM2avFn9gDqUMkI7CbWePDyimz11Rho9xnSjPOe097sJbzg9+QJvvIdM5DuS6MA8rLggPGDLOrzSdyC9TKxAu10q7by9xoY8vFZMvFJxdzzFLtq7JYEuO8mbED23gby8NHdxu1mWCLvcGB+8w2V6u8WH7rx3eQ49uO2zOkb64zxbmyU83cw2vNLqQzy59t07FjwQPUylObxTZ+o74WrhutkxYTuOCxQ6i/diPMTwEj1XQrA8QipLPCQMDLyrMos849m0OhpZv7u+rAw9MboxPdsbQbw9WHk71xKgu2aqEj35nxQ85o0svNJB8rxNRjO7QnIePDOvNbz4rqW74t0Fu3U3Gjs5lik7n/5JvcIdL725X0K8Uow1PE/stjw7a7Q8BYe1vKF8JTznhCU97YEhvNUvcTxBwWW8tW4GPZzbhTxcbg+8oGMkPGuXMjy/Gp6820ewvBy3h7xu4+27VgrDO4Vh/bo8exg9hZ3+PN0QZz0b3Rm8pKZPPEjW4rx4JRO8FboMPZLjVbzDN4s8+1r+vAxPprxbaVm97hVyvG1UVzyDsj+83iYtPPNKgjsjy0A8OLHAvOWujDxSSJk64qb4vNIjjjxw8KQ86ZopvIlZazt2OWQ7KG8euQs2rLth6Cs96i7fO/uquDxL6aK8YBk6O+8B2by7vJQ8u/xtvIW8eTzu5gw8O5sbvBjJKr2Y3cE89WLwu04iwDy0/LA7Cn8OvfnAEDwmZAA7ilkYPP+Zmjxw/IG8+KKvvOzfbDnx5NS7qbD/u8yAl7zvuOG88KOxvPP/yTvv+6K7ToKfvHuZ8zw3N4k6sc/VvFTL97llmPQ88H/PO5IhfDy0EtS745XlO1us8TvoGRK8tSBePAbOA7hQoZu86+TiO66bqDsGooa8yQQ2u7rLCjpfM3+88kWjvM3FHzwFbxs9ILeqPKfM4Ltl2uC8AMUBPdYFSTx65wk8MAaEPDyQP7z86gk96m9XPFF+RzwGfl28qqY6vCPHobw4/Cm7QhJNPKR31bw4Uws88du3O6WKq7sRYx48ABTFPG9YwTzlAMs8x7WiOikFCz37pXm89p5rvG7M/TzHrRG9XktsvOMOUjueuLk7CbDPOwZchbtxvHk8i2gWPQArtzsYIE08VKVRPFYGwTwljLW8mbmNPEUrGLzJOGo8wnJ8uoog2rwEabK7eZW4vPRJOzzE42e8L3YdPFAhvTxintK816TpvNj3I7xMM8W8ds11vFb1AT3RB9M8AXsPvTYU3Lszvoi7blSMPEz2TrwRn5c8FAWou1MhOL1XcJM7WQ/au7dzxTyct3u88xnIPPEmWTvZ95U8XZtovONUSbzcwDe8n3dpPHBpGL2bbNI7TymGune//ztjnde8HJavvAAZsDubu688jMHSPMu6eLzX+eQ7O/uPu557Hj0x89S8BWDnOyW4pzyqzzI8PVSrPFPEgbwZ83E8Y01MvGLxwjz3j7M8ZHmMvKPTGjzttgE9csJrPAzAKDykJNq5HB4AvdFdjjzgkos7fYWAOsCk9TxGuDo9ieZdPOIIIbxacpy8OUlWPAQz8rolEK+8RLn1PEBQlDyiqRU71wEhPZpI17s0vhe8E16cPDYbcLxff4e74RkDvBsuOrzx78e8JB8GPY3Vmjxpzt88+fzSPG98ijyN3I27G0G2vJ2R8Lqcc768ik5kO+z0orx0hos8j9hFO6x1QTwMPLo7zeVNvDXqODxmQ+A7sc9uPOU93byE5ty8EabsPCm+17slluo7N49MOjRaSjwqSie889XpOx5zETwlRJi8Zfyeuqilr7tD+6o8CKG2OiY87LuvSpU7wTVFPKpKuLwB1yO8wMXwO0ZqpzzPaBO9dXdLPDERSDyeAue8PFu6O9/UijvIDyI7ewP1vL6C1rwG06s8ppQKPMnX87uAIg89mpESPK+XHDx9LlG8cIOevIdAerygpTm8l7L9vH5hS7w4aWA7+njkPGZ6orsqVTo87ojJO5C9jLwFK5Y8uqHluw==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '89'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Programming content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '81'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - programming
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_filter/test_search_with_uri_filter.yaml b/tests/cassettes/test_filter/test_search_with_uri_filter.yaml
new file mode 100644
index 00000000..a49e51ad
--- /dev/null
+++ b/tests/cassettes/test_filter/test_search_with_uri_filter.yaml
@@ -0,0 +1,162 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '93'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Python tutorial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '91'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Java tutorial content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '78'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - tutorial
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '78'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - tutorial
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: QyMNuHnF9zvJtiO9EJ2ju5p2X7nwPWU90jG+PQaTG73k6I08SKgOPWvuoDwvc+y8+51QuNNUhLzgmyk9gzk0vSXKeLxEZy284UKSO9iJD7wL+H6835LZPPgI9TwMQgs7jUgJPJyZAj1tPZy8OHDDveiPYjw7Wh88Vsexu7G8obwcRjE9wL7NPGZdTzvzRb68i+ZsvDl2BLwr2ry8jwO+ukDX6DvBKwm9KHoNOzGbJLvypDq8+PE6Pbhid7tEpwU9vkfxvBooI7xovLs4NnAOPPKXorzVfwG9At+KuhivqjwnGww9Fc2juyUWnrsPtL08FO4tOwOeqzotqAy9sKewvFzZOrvlzOO7BnxQvL92mr2KfSI8aXyLPOi40zzA4Xw91H5CvCh2+DxZIOm4a3PmvEO1O7zxYes8pkM4O4/N9Ty+j1o8nA92vMam2bu78lg9aymsPFkVuzxXJ6g8qOaIu3myDjtTzxg7ivltPHLd+ryYJeE65/iSPF3GQDuFItE6PPrqOqTPKryplZy8rcJGPMgWJbwE9Ze8AOesPP2q0bvWriK9hF7qvDz6T7ymG1Y8LFQcO1p9/7sLhpK8qcE6upSTmjrep888PAOBvI0mabzEB4a8QjfzPOmq0DvSNRQ9PeGJvEE4lTwwnPG7ANWaO/A1jDx/R4m7OKaLvPqsiLwP15682lqROxlyCTwjMdO8e7e9vN0Q/byNKqM80Tf6u/BfHbwd1pO7fciGvCEEzDwZH6e8FxROvIlBgjtBGL68AbGZvHgKorzI6+67I+fAPG2KRzxsuwk80kR+PML3MLwBnNM7f9eBPI/dkzzCJdI8oYtfvILu9DuT3Io6T+/XPMfu6rUns488F3CrO4zbvbvGkrw7407sOuKSeTu4eKW79xPOuyLf3bsjeOU6fgmKvAmDkzxJQLO7uZIPvZcDSbwz1K28xvLWO3j8irqI/mS85gDnO6LagzsTDDQ9bEPFup+LiDxf0uk8FFxPvMuH17uMIDq8FujKO7fWSr1UGa287jW1O7qNz7vNvGQ8HUgFu5iGBryJSBW7UWmuPFNHHD091P26x3lQvL1vkTwW/bS73UBGOu0nmruSJHy6+terO/WR3Dvc0zY7I/UMPGadSLzfrKS8gim5vOdyeTrj7sk7C1e3vA/u8LvfCJQ7awI7PVqJFzwQdHU6dQMbOz3xyDuTyxa9y+wnuz7+YTz7J5+75mISPA8ZSLri4ek7VllGPF27xbtpBlO8cXW/PHLph7wi+cE8keEXvcybdzr2WEc8Yh+cuSsvGrzjEjs7LxSHPNa1+bnDFca8SEZsuxTK37yEQay8L+t9vNe5Pbvs2yu8gSirPKHknbw/o4w8R7GJPBLnjryWzEW8vFtXO0xanzwrRKs8ke9pPRxB7LwuV16821WJvPMlqDujnw48J2Ypu1OtzTsg3m+8c99EPXrS37rMvLe8iQQ6PF8aZjp2GGy8oh8RvKl6qTwTR4s8HB80PbVs3bv9+UG8jmo4PfJEb7zGByQ8Fyr5O8n0jzz8ypQ81z72vOgSdzwwoJo8VfsnveIhPDz4je07/8jgvFAW67zEjuW7Amk6vFsRGbypcLO88kVqugkDNbvx3hs82cfAvPTjeLywC5o8vZhzOzwr7rntN407HQuGuiFrRztGj6u8D/FdPI2OJ7vcRlS8NvaLvaqVmzsZ+og7CTUyvdreprrB5EI8STmdvXeABrz3WaS7RbC3O3h+j7slJ8s83q3+PMsOAzyyRMS8gzmaO3ptEz2g3xO8rX46ubp+s7vli7a8PK7CO7apGD3bggM9u1+ePJ0ZiTxLlV68J90lPWSTjbsP+iK9YIfPvDDavTz7MBq78h01va9tkjzo/pE8x0iGvGf/pDsBomi8NwGcvCC5Ej0FMBe8tnpIPMUJNbpxEmG8zIqMuw9JsDspVzg7b70DPHg8Zbz/cru7kTAPvTpCCz1aSN28tT7KvIl9Djy5YgS9zD0ePCS6aLv1eqQ6bXqVu0jeyrwHZTW6+PIhPDBBk7uWU5Q8tYW5PLxfM7x2ECQ8bQ6gvJ1I2DxAjAg5DZxQPFayvjwFAYA8tZ6TvCL/8LxzB5o7oe5JPJVjKTsQPiU9Xk92OyydETwptIM88pphvAFjOzzgK0i84qWHvG35ZLzjstK7hkY6vLAK7rv/SzQ91k4QPIrNcbyT+8g8X4miO6VhB7tucxe8aAw0PBqfXTyiC3I8CGwlvfguXTwDzyk8V6YLu21/nLsixTs8hPO+u2rm3DujYxY89GOyvL7VzjzF0528382mvMb8LDuE/cm4s/CIvJXJAD1tczi8FCLrPLNkNbxmlI+6XW8PPDZmybyByP68z01SvK7epDwYxLc81bewvP2BqLyIQAG9K2e4vDjLYDwrbWs8AyhAu2nZarzZGqG79WkDvD8uEr2f6Is8d2FjO5LRijscS6e8s0ygPFo2w72kcr48nnqjPPwXQ7w4OS48EUBQvek5h7xBfng78SlDPF3q5DzRyt28f14tvKKUSb3T/B09/I6gu2L9CDxijwM9QTLAPIGwOjw2hgW8u/X1PKrpBjxSESs9z5jPPIXvRjz3tfw8rTNpO1Q+fjxsvD6893+4PFZTwTslNko85ZKlPPneIrydBzy82xyTuQ+g2Dy96CS9s8DNPASkpjygeNM7d0bYPIC8fTyRioE7Mhp1vLF+EbzvG0g9TH0nvc9cFDxExZg79e40u1isAjykTV68qwdDvS2CHj1Znsc80WWYvP7ZCbuj1o08wpV7PE01R7xRxsE8vvTMPP+uZ7zd9gU7LvfcPPRrArvZgsi8g5McvVHzhTx71fW7DRvfO84GrLygHco8vjFUvRBMtDvAT8W6axI7PUYStbqNoi+8muR3PMSABTxkYjo7VlF8PNknGzxrTbo8uvuPvOWKHr3DY928qcDIPIVEmjztmuW83V0uPQ8J8ryRmWe6ocgCPVcRVLzd2uY8r8TDvA1nXbx5b3O8Aly4vMMGKjz97dc8njRhvK0g3ru8M5U8IFWEOlq+ajt3K6u7KmSEu93OnrtRhrQ81vaJOoWCLLwxSSG9wgB1vOfkJbyMDHW96hfBO3eCozy1X+o8hkM1POy9CrzpI6M7Oi9YvFgSAb0CHA88JV/7POGODDyqErm82gikOkxYbzygFMu8HEmWOhOQAL0nazg7xPNau93f1rsf4Cy8HMcIPaIMRL2d/La2MJdHPP7hCD0lweO7icKHvMgBarznhOy7dMpsvK0fI7tUm4M5dcWEPMUyJjzNf5w84YX/vOQGurtWL8S8gu2XvDDRwLziiZ+8J3ODvBWDorzJZkO7URqrur7KZ710jtK8SrbdvECinLsIPyC97cSJt5Db0ztABMw8u2FMu+JZjbymu2e7F2tFvdU5yjz0L6A8BDxbvTrV8LuN+EM8XSPpPJqo4ju9Elo9lINBOk4eVr3Yyc88ugI6PC9h5Txr2DA8fyqQPFbgV7qqKCu8JkKxu/xPkryKECI9CPBxvHOQsjxVHAE8hCRJPDeUu7rs8w68UF6NvK0BLL30TTK7yRV2vEVDerw5S+Q8vSr6PJhBPLvLYyw8/uuQvKlw5jlwixk8hWsDveL+IDwmCBY9Wdg1PVFUC7t8V5Y763yqPH/MGjvRp5S8fFmtPDjxgzuxoOs7E/thPOHnSDw9GUo8rEj3OyT0D7zOt4882lyWPF+vXztdvFY9U2aPvAaaWT3zW627MVeUvO1+DzsUZxw8mPRwO04EabsBw668Z8acO/cBpboa0lo8xJYjuyLNYjx49I26Wh8RvLh3Fr3H/KS8o6qOvJmlvLo96SS9eevSu7Jf/rv9XEK8U3wgPJtouTqMkWK9ACo0vHjGz7xEgSM8lP+OOpM9hjxAHMs7GfMdPSs1Cj0cIoK7xLYyvNzNwjv+efs7pGvbvGgnqDvAXOW7pndcPGa6+jugORM8rP8PvMp5pTtSRbE8Io5ovAWgGLptjAC9vLA7vGwOtzvzIm861kHyOv5QMbxJLGM8bU5FOxI4vrxsCc88SUkzvMcsczz/v1A9j2yrujm9NLyv3c2808xhPNT7iLwY29a8L2pxPJwOFbuLy0q8tsB+vIJJrTz79QS955ZwPFrLJr2OXum8yqynPOvCbbrdsgC9B8IXvR9lrTw4Uwu7CUnqPOv3pbzNx4S7bmkbO7ewlrwIcYa8+uAIvSPnkrxpjsO83XeGvJRLNrwOH7Q8zOpyvEy4WTxWZlY82XlEvDQTyLshfbQ86U/OO2on5rk7h4G8K0BsO2UFXbwuYUo9y6oCvNPlDj2TwG88F1QdvWHJDjv1CaS8Nt8bOb4767zzVTW8fVwUO9D9HLw+SYu8nso1OyNU9TvoVh87SWeOu4IhJDw03Ag8wJRevNoiQbwTj6M8zuuavI1Gxjy1jHQ8oU6mu9y9gLvGNTI8xK8QPNAc4zvTmUM80D/iO5t0wrzoo/s8cGkKvSFLCb3oT/+89QCdPLZIoDzBiig91gN2PEO3hzy3Fvg7HA0kOw1/a7y4z247KYfSO01zSzzsfRE9tc8QvL3zRD3EbI08gwwsPSO0/Dy8EYi8oJg+PFZtnryMGS893eYcvZyApryKQiq9SEl0vMQQHLtxZ7i8ZACBvLfnmLqFHB+9LHeXO1qTDT2vofQ77eovunSdhjxCHbE8sRpfO67D8rzNbqI8YncVvFimmDyiuko7GNgkPbxasTyRUGO83Tt0PJhybrySEcU8Lya1vF9gy7xB/oc8WaxYPCk8NT3DCCs8W2ZovKpazbzI2gG7aq24vGdsvDwlPpO7UTjJPA284jzKSLQ7XEi/O/4E4TwaQqo8vTNivOp3MbxgILq67xCYPDI7R7x4c/y8QSWLOsvWhLpioQ29x0C2u4kgiLwWMgc8wnGCvCiQVbo17co8ab64vKli0rzVZXk8RZ01PV/SSjv+GNC7Apd1uz9Iurz9UIg8ZCCIvMP44Dy5Pqi8o3iIvLznobxaX/o61AEDvHMJiDz3HgA890eSOim5s7xvJKu86jHdPIriHT1Di466RO2tvHDHMj2a1pq7aMMUPFfOlDzi+9a6qHEHPKwfM7yvNfI7l+bWOnV+yLvY3mK7IqRvvHVi2jwh6QW8TwAvvBv0DLyZHA68BvXkPA1v9jufiJk89JM9vFCqg7sJ7dq8M5WMOtTWrLysnJI8i+g1u7q+2bwNxtk7RfWPPHNLpDyQPSw9tNN/PXxHLD1XytS8N5kgPJgQwTwr8wI82c2AO4c/DL3LaPM8uTScvPxzijtods670uZgvMFlU7w9Q0a8XZizPJWYmLsrlRs9j6utu1z+OTo2Om08xz8EvPf34Lr6BQA8qKw3PPkqgbza5pK6UsC7O9D2lzsJxCK8hXUkPKitjTvnnmA8UaPpvAoMxjhttMu75fRqvGNp4jvTd1Y7M+6Su4x7XbzkC888j2bRu22W+jmraUy89r/JPK34ED0S9Je6NN2APP0VxLzYZEo869KIO7B1sTzrFM674cyhvOrDpTu7XZI8cQiIvPW2WjvZrFW8Zz49PPwSpryWhai8ZlJ5u8Zbn7wWgDE8OnsiPCvmXbzABPM8FmievFMP37v/oae7lTBNOQncEj3zO307Oek0u17LNryeJd07dupePKLcGzyVgl48JuYJPeu6wDwVemo6DVFku+yrAzzxlDi8tLIBvRJAZTxGsdo3CxMIvbE5kzyJymO8Pn2yPG+rJ7ztlDK8/v+yPLAjwbqXmwa9E1wXPKu+C7wPIG28TN4WveM4+DwH2R6680UWvSR9FjxquMy8KQEkPQHVWjtMx2u8pA3pO0ZjgDxG1cW6n9rEuyiozbzuxEo9vuBxPP5sBb0yGcu7cx2xvFFwobtL75E6fBBdPCAqkbtwZga8tkzavAUe5rvG+Cs7153KPIRDNDz2Re085JrnvBVxwTv3Gxc8P6PFPHqQQrzHZnE73RkBvR5ZNjtF0K+7ij9UvEIX4Dr+HwA8k02nu4GuXTy9T/y6EgmFPOuBEj047p47mZ1WvGqAP7zZt9m7973HPBKCjrt6YgU8Da6SPc9hlzwH9BC8iXzBO2Ztc7v8IIe8BIWnvJgVoDzA2VE8JXbEOlXpxjvytBM9otj1OysNBT3TgLg8aq3dO4iCkrxKcTG7fJtPO5MUszzfOxK814VFvDo0XjwMUHQ8KY8MvVNVobsx24C8dVjEO+ykjzw/KbE83VNnvK3fnTzsWsm8shisumW9BbwCnrG8rcMAveKiMr0x97s7/KfDPDr+RrzZEBS7Qy4MPQ1ilTuIkAs8WowLvR/QnDuoLSw8a3Qfu4i7pLsFy5u85GabvNKairs5/o64QZM7vHePCr1sExI9JB23vIdtUzut9CK9kOccvAt19ztlHDm82Ov5u5Z5zLzrOZq8msNjOzSS0rxeKha7/rtFveqjFbufBqS836yFvOb1aTz4OGY71lkqPblw0LpYkK28sXYOvApAmzyZij+8PsycvF74MTwID7W8eDdFPaWOt7w3Dzi7GJCsuzkVhDvbEHW8KBX3u6moWTy8MY68S2M4PDUefrw2iCW8r81qPMSijzyhQCY87yplPRALcTvNJB89X1eyvJ+gITcF4jo8mafaPBVZdjvuEi48a8AIu+63zTmdMic9bexlPNqF/btz7mu8GeM7uxHgcrzeeWi8ulalu7yVAb3Yh8q6Bh2WO/Ed4zvDQG48TJdHu2pzizzobj88iTKJvKL3aLwSr5U76x3VvPBIwboNCvc8ltjGO+IbP7pU5608dgNYu5OXYDz0/7o8lK7wvGuQszwr+4C8Q/fUuRSVQbsWpRW8uQkLPM3cSjtYiiU8pLrfPOzkGzxoPGe8GcdLvCbe4jtsVmm8ksqNPAVIyTvptjG8VsSJPG4pYjxqNuW8w6eeOw2Xhzx0csS8L1iMPGtRN7rLFGE7EmJGPDS1YLp8CNI7tyk7PL1rHbwqPjo8cDJKvFuDOD3Pq+U83wGdvI6Owzsiub87SE4OvYX+g7xFGuw7SAoAPR6Rl7zVmQq8x3/CvHW09rvmAOy6YXKHvKDkl7yXCWY8EJ/LPJcFMTxZDoe8N/OLPJF1+rzTCQm8KfKavL6ak7xLwhk6dagFvBY/LbzqULQ7TD5UvHzFvjw1Kdk8xgYEPQJzrrzxG5G8ZmKVvJuXxbzSjiw89VHyPKwchbtROTy9nzoqPRj4iDzoZSy8HfQNvJvlgrsCgA89HKLoPPYIsryjz9k8tcL/PIj8DrwZzwm80iH2O4VdhLy+a6s7h7DFPL7zgrw6yYW8eR6ZvMb1yDxX6W06Uua9vIA3ETwGDM26+5sFOwLdTbz6kAW9Ya8FOojnLjzhdjY5mC6SPNMUVjkBh3y8pWpqvALyDb02aeI6djyqvAyLXz08DBg8pjWkvNDaNTx9bMw5pcM1PMFVNjzENOq6CKtbvOyCeDziEC48IOOyvK2lFT0LSQC9qeN8vZ4Ypzy1pCs7dhvsOyQtZbxjGZE8b1vgumbtkLxwBZo8NwwtPHch8Lyf/NG8DjKDPFNSMz1Axi+8QkIIvZB+OrwvmcO775e9PE+ambwBpkc7iVA8vG63zzrzZZY8gV6JOl7kGrxalsY8rGL5u7ZsWT36Upk8Iq85PHsI3rz1h908NcM/vA0REr1EaDu8KCpEvJwvfLvPDBk9/DAlvKMOpDzdmu+7P62WvJFlG7woAJE8/KHEvJzY8Tv2AT+8bOCnPFmH+Ly6Jnw7iFYzPFqohbxZcBW9XteyPG1ewTwmsV88i1Qeu7/X/bvzoge8JXt3PDSp2rpyfIW8LlMUPSM5zrx0v8+6ZMu8PDfyvLxlz368pUBQvHyIPbzZm9i8TJBIPIhtNDyhoRK7WdCgPPiUnbrcAeg8TmnSuz6TSb1/9R08M2OpvMDkRDxVyou7EtFvPJ3qJzyq8hO9i3mFO70if7sErCO9WSovvJtK+rq1/jO8PTHxvPAdM7s0rXy8na9APQu/wjt1V9K8xKnNvEHmXzscLuO8AIpAPPn9Ijy/xLg8HpVDvFNsHbwxst68AMkGPdNF9DvjMyc9yW3POyJelDyVeyy8me1MPAEJRrx65NC8tEz2PPaGJTxKm9873fTOu3Mv87rNWCg6lOTKuzIpJ7zYLMw7p76MugbntbyKngq8sQFYPNkgzjsd2Aw81m0lu4bIULx/ig893++6vNoKDryOyyC7Lk2tvL9ycju6gKw8mQ2zPAZdxbwq8lw8njtjvFMdCzsYd6k6thDHOnqHmzx8xYg8QoMsPKUFAzwA7u25jTpMu5mV0jvKXwc8P4AxvP6U6jzXizE9bM8VPf3aJzp9JoQ89zEnO/GdWz0O6Ca9RwqLPJiuM7xXDY27lwy7uhamgzzEvUG8L26rPJCer7yUXDo9zk4EvA5nAzwPV4g6Qu8Fu71SlrtPzfs6f1APPNoS1zwa9CA8TeWGuyOmU7yAgj07Ye2RO6seh7vTj8283POcPKnyozuZy6+8N2hDu+Hfz7pPBYE87/VmPLOen7zSxkG7ahGbPHTuCz1arME8O3jNO9/oXLtnLiO9QrKFPPnhyztr+VO9sMo1uhW0vjzSWZo5hgr/vL7/b7zVyEs8g4GzPDUs+DuhKAk81DkGOtCVJjxM5p+8IWKEPER6YrvaknE8MCSCu/qoJrtMbQa990vNu3S7ibz/+7E8BBpOPAQQuzy0uYA81NZ0u/q7HT3hqxk7nYw5PGyIm7x8rtO8uOSXO4MTNLzScg89nDGkvKiwSbzGeQ67u3nevNNB27t7yIy8ArIfvOSJd7wtmKw8rHIWvAnFmTwG8QU7fvnfPDx2XjyvI9g7G69YOzdeUzwik2U8Z4w5PIsSRDtATlG8Ogh7PD2o7LxEXFW8QkNQPcnlc7zQGvG8qr0mPKLMNrwlo4u8bBQSvADjZDxsY4O8J1OsvE8Ttjy1Fq88yNV4vEoDDTkY5Q+9MZtrPElWXbyamW+8Gx7DOkdh17zZgNC7XL0vvKGZMDzM92y9uQvTu3SSYTv65Dg6bz4lvDR+lbtXTIK7mFfEvJxgYzwBsxK8l6rDOWk3ojyBBKm84WcDOijc2TtF/2C7vNkHvSQflzx+Up68bKosvJU9bTzetW850C6WvI2ckLxdB9I8IeeDO9TgODs88Hi8XZE0vc6UZjzQFW48yJ0CvGyCwTv2jZk8A7yuPFA+4LumgqE84cjxO80p4Tmxvvs7sbaBPDIHbDwykmo8CczKPCjYrTyk68082vSovFuODz3fAnC9LVdaOyuRr7zHebA7Ih36Os1LPDwGMkY8nb9OvEJbLz05uyS92CVpuzfpsDxSVpG76u9qvCxXMzvYlZY7lpG/PNDjZTwCOD47X+HavAYRK71JBcy7oQzSPH5/STyEl+O5YxEaO2hBPjzUCbQ8dTsiOxYjgrxAXeu80ylvvBdSGDyCWtC8uZtmOxCcYDuHRjs7STZTvIGEEj3+A5E8rrzrPJ7MCz2VDAQ8YdccPB4tFTykeh696+2XuoQO+btlRYm8F/2NvGFMCTxCWou5U4cSPQFZvrzPDGC8dCwvPXfwWLzPqbC8qc8CPSQYSjzt64e8BjL7O6w2YDz6V6W7JleFPGeCb7vOA6k8XSuovCp8DL1PfYM774fbu5rouzyyJew6cZhbu7etAjyKCaQ835xFvFWwLz0KOpY8ItAsvFK7fTzuGD68cUKGPDjC2zssGTw8W0tfvBQixTuOZWs89FKGvL8OY7wzZKy8bJdGvdLr9bwYrko7Ndy0uxGrKb34XR8826uAvMfXmjuDnaa7qLpNvU8PQjyWiP+8CftWPPqS6bqsoKo8q+DKO5fMdrvngEU8PX4OvdIPaDxr5by8CL8GuupTUbzZmT25cls3vH+Igrz74Zo8UtCfvCvfBb1NZsG8dIlau4n/ejz8m5A8JoZ/vAg2cLrnAF+8/xXGvGDzm7zU9fC6upiZPNxGRDwifJY7zPlOvNxALLxjHaC8PBNDPNLtVbwyYsS8GAShu4gg0jymfAC9x3XjPPTp+DxX7oE8UvdgOvFTszxQhyC7DcPGPCegMzzl0dQ8CCfHPDE+8rtMoUY8UPUjPaTbmztp0vK8bK8dvLlGCT31f+E7wpHOu2hULzvFPoO8dvLNPJqp5zwg0am81+DXNzZmmbo4uMO8zPanvKOrVrz6iiQ8ON/Yuxx3v7sNArq8CI0JvXjIdTtH3wI8AL0XO8UWqzz/aOO6QBrHvCjUgjyKrSI9zAqVuzQvtLy89QS9ofVvvKQhDjxFatE7H2NEPG0ABT3sQLK7EC42PJamortuZyI8t3rIO5vT/DupK5A74w9rPCF7MDxAHTI8FK1WPOlOwzzHkQc8SLa1PPoEvjzvQB87hQEfvNo5WLwsW508gzzvO6gbV7xY4TS8U6g9OydDYDwaPKS8De5wvHbGCLw5UVi8h3SAPHytpjvBgqK7jsdSvPHiwbybnfa7TCLmPFt+6jvDFyK7YoiZvMqjy7xTrJG8gppBvCuFoTzEx5m8kE36PKuKiry6Y588y+CjOyJNJ7sR4im9K4REPGg4WjwfGwu8MqG2vCw8lbxSV6W8ULYXPbbSqLxphv68iPKqO6Qf/juKsiW7JmtmPNb8AL3/LdM7Rw8MPZfD/bznv2W7lGLxvPNLc7vMkVs8+B3jOch2Hj3EkxM97svru6vvizu0P1o8NPlLPGG8Aj1hEna7D90Ou3I2EL0gkDW9TF/RvMuq5bzwBOC8suCVPHKuQL3tzJG8qhh7vDGJar2vtpI71CTvPEbtMrwmvam8dzWaO0CAgDnfOly8GDSaPAGLMrzJFV28pva0vOC8gjzfH2S6qpGmu3PlMDyPuG07bXSoPH1H4rqQM0E8WL+PPD+EEL003g+9bLkMO6IEUTpBqq28u5oDu9uLZrqHrUE8Y5yOPNnsq7zjDgu9f7MSu6fAmDs+R7g7GzwiPEjCRzwgSgI80nBGu+Fmg7w3s5u8lNngu+EFuDvtB0M7ojMRPJhgwjxPZC684PsaPZmb4DtIDzS8l7GcPCOiTrynVlK8uCU1PPCtkjtkWVC8uSu6vJKejrxWPfW88wd+Ojn8a7w5E5Y7nR7nvAc0/To/9aU7WhOpOy45Kz2+mYC7oPr3O83YMbwwXAy9JuYovQWtkbwEWC+8pVtYO3nfqrug9Q+4M9saPHbS6DtA/CU8CLJku0EumTwBmWA6mm5BvDC+BzzEZ0q8K1DhOy5koTsV3IW6yvS0urBbaLwxcyG8stFCPbYfXLxPloW4vPXau/IjPb0Wvgy8Uk77ugP0mDvpn4w8KPsCvczxpzpjeF+8jSL1PNIFAz0kj/Q8D7+bvMPBnrzp1qc8x2UAvGGr6bsglju8W1CWO2+hAb2eb4a8rxeavJ76uDrRpQq7C0JGvEicrbyFHem7W76XPGgSGjwoGoy8+b4uO8c0lDzSS0U6kp0uOouYSTzCVFe8FGANu2yuljxGoIs8Com7PDsuUzoHb6S8bg0EPbuBrryZUQK9pI6yPIh7rLxy1O48DYpiO2pvQTuVNo68xIpEPEiPoTn45po7KNuIPOzgqLvMRbK8wI+AvOyU1bw+1Pe7fRTuvKlz57u/MJK8gQGWPIJyLDxAmxG8lpWrvAtJijounKo8dvKUOzNPVLtvaQ67ddWSPCPaMbzWEuM7jM25vHDJ6ToocIa8AENlu3P9ID0ynRA9223cPB4FnbuHPzA9I17Uu6N4mjxD7ay7hv1sPNHhwrsd97y8cG8rPQ5iuryRG/k8Ol/EOzgHwTyUyEC8ysGDvP9p8DxdbwG9cbijvGwdjrwHpoA7E1+OOrOsh7xnn/w8YsrvvLAfiTt1dh+6IBSmvLrp87xk2A28Nw64PINwCTsTIJ88tnAsPBHtsrsOygg8OXHdPLNe6jwSOjo82YG3PEHkZbuA3Dm8R2QYO/zyUbz6qLc8q6/hPMSBlrxpaFc8su+QvJVu/zsglXa8GrUfvbC6jrvkNLe7DHkgvMXiETwQWre82F2YPHWtezwaaD884pvzvL5X2rthWb07aCggvOVwqTt69vY8v8TJu9rZLjzLBe88KZAcvYBFj7wPwbu7O8FqPKqvLDymVSk7Cz4FPHXDsrwxI8G8FsyDvGGmkbxmFng8BRbDPHuqxbxqJPo8xoPeuwv/HzxJkAq7ZKi/PMPnxDvBk+27lX/xOl48pbyyNQA8GnEkvNwK9zotbRq9SAjOvP+HtjwjOUU7vts6PdIaoTsxrpg7IKg2O9P/EzzJ+t07yCJau0loVDx39rS8mtq4u9VV+DwHYKs8sCBnPO+zjTw3fQC8XmQ/O91qkTxdax68+QV3vPKl1bz1Vvw8oCUlvBivBzzdRrQ6H1BevP6/W70VsjS7cwIgvDuD4zxFCWM7JFfWvN6EP7y1E/o7bfeMuxx86DtTN5y8jTlwvBrOgLwZG4i8pb6pu77PXLxQ3Xs7lbGYO4paxjvlI9s67zIUvcf+8Tzn+QS8NPTnuZVBUjsMZw49kC0PvLd1SjnkTzW8uvfyPOz+tDyQ4wi8hmKFO97OgLxo4be8cV6gPHJ+D7w2/kS8iU6iPDHNert9UZG8x7SRvEHwJzxhKgS94oGsPH8dlTtufsW83H2jO6hQl7va4I27lZyLPMq2ZbnVHRK8ZCcbPd7cJToqWo08SnFuvAFtlrsExL+62vIaPPa4L73pTGy8A/+bPOD3yLwz9Og8Xk7Auy/aLTzM+BA9eON/PI0vkzyjUIc8Iu0hvRgdpbySCnG882GDvL5QfTsx14M8j8k5u9VKybtNhNY8hVkYPWTDnTwzywQ8KH+QvGwTJDwYVO07aWISvPuyGLztAHM8BbtSOwuaBLyXqdM7Eke6vP5ZOjx3fRe8eZKUvMDxNbyTNGm7jG1CvKPcEjzBoda8G3F/vEaaQD1Ga3A8vFVvvHE8LbyJe8S89b2/PHgMsLtjzC08ai9zvPmGUL03J+27CEXgvB7YMDvR06S8D/vcPIGxQDuNHf08nEYpvD6yFz0+Zpu7iz2+Ow0JAr0O1+U5zofdPCFIBjxOhZG8jNZxPGcDZLxoH988e0EcPcGOCLzjD6g8fNQZPRrChTzXvJc8yeMPPKU0i7tNtZ48jf1jPCQnf7z7eEy8NU6qvBUgxzzWgDQ80ApbO0Kzqry+WUa8sXREvHxzHT1mUg88mtSXPCGr+rsAQrq8uiupPPK8qTxaBFg8IQ54PMe+yLvA7qW8qGiWOv8AhDx8Eek6fYwBvBQt6TvxrPU7C1VLPPRrmrweU247g6CaPFf8sbv/uIm4n9L6OxgVqTk+fEO8RrdePVnq6ru5PHQ8SIupPLUxuDzie5082VO+PPmNObvm1lS8cM2sPE+tuDyIKx87ikPAvMA1wzypKCO8wgv0vNIVx7zP/GC8n4cWPJ+PurzyalK8gkY4PPOzcbvHSW+7KvOfvB/mnjwKoaM7RZv5u1ayULw7O427lyXjOwpAeLjnRRk9VlkbPARwkTyHIlY6fLByPEzgwzxyAxg8JFQXPE3Bb7ufJvm7JL25POx237v3PAa8aA8xvLTPqLu8ECq8cecAvPU8CjyTBZw8Z08QvAGhsLwtqWi8bhN/vEHfgrsF0r28JlB8u4gYgDtN/qE8gCeiu61WmbuKWAM6wEqPPEVTobxHpXY8blxMO/mdBzuo4987O8/SOg==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_qa/test_qa_anthropic.yaml b/tests/cassettes/test_qa/test_qa_anthropic.yaml
index 34eb64a0..1636c498 100644
--- a/tests/cassettes/test_qa/test_qa_anthropic.yaml
+++ b/tests/cassettes/test_qa/test_qa_anthropic.yaml
@@ -1,144 +1,4 @@
interactions:
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '274'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- location:
- - /api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json?%2FQwen%2FQwen3-Embedding-0.6B%2Fresolve%2Fmain%2Ftokenizer_config.json=&etag=%227345216a0785dc7086e8c245b2a9d3896ce2b756%22
- ratelimit:
- - '"resolvers";r=4993;t=78'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin, Accept
- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- age:
- - '3633044'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '9706'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - '"7345216a0785dc7086e8c245b2a9d3896ce2b756"'
- ratelimit:
- - '"resolvers";r=4998;t=122'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
- - application/json; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - W/"40-09f9IAqP13xarAhQxFS2W8rvRkM"
- ratelimit:
- - '"api";r=995;t=78'
- ratelimit-policy:
- - '"fixed window";"api";q=1000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -342,12 +202,12 @@ interactions:
- chunked
parsed_body:
content:
- - id: toolu_017PbXDvtDx3HZYEy3Lpf5EN
+ - id: toolu_01NNbyHFWE3Yup6WnksRHuv2
input:
query: Bintang Jakarta election civic engagement innovative feedback
name: search_documents
type: tool_use
- id: msg_0153BdLnbFoTPW8f9NFPizb3
+ id: msg_01JRRPbJHWthxV7WTRt5maBT
model: claude-3-5-haiku-20241022
role: assistant
stop_reason: tool_use
@@ -429,7 +289,7 @@ interactions:
type: text
role: user
- content:
- - id: toolu_017PbXDvtDx3HZYEy3Lpf5EN
+ - id: toolu_01NNbyHFWE3Yup6WnksRHuv2
input:
query: Bintang Jakarta election civic engagement innovative feedback
name: search_documents
@@ -437,7 +297,7 @@ interactions:
role: assistant
- content:
- content: |-
- [0a2a6156-39cb-48f7-be66-360120f77ffc] (score: 0.03)
+ [4f836c30-e3d7-4a55-8a14-8a41a5e939dd] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -482,7 +342,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
is_error: false
- tool_use_id: toolu_017PbXDvtDx3HZYEy3Lpf5EN
+ tool_use_id: toolu_01NNbyHFWE3Yup6WnksRHuv2
type: tool_result
role: user
model: claude-3-5-haiku-20241022
@@ -578,7 +438,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '1046'
+ - '526'
content-type:
- application/json
strict-transport-security:
@@ -587,20 +447,12 @@ interactions:
- chunked
parsed_body:
content:
- - id: toolu_01YaEyYQvUFfcUym2BqM6o1s
+ - id: toolu_01XwLKe5AwRGXwqaSQ2cpYyt
input:
- answer: Bintang introduced an interactive mobile app that allowed citizens to provide real-time feedback about their
- daily commute challenges. This innovative approach was praised as a unique form of civic engagement during the
- Jakarta election campaign, enabling direct communication between the candidate and citizens about their transportation
- experiences.
- cited_chunks:
- - 0a2a6156-39cb-48f7-be66-360120f77ffc
- confidence: 0.85
- query: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during
- Jakarta's election?
- name: final_result
+ query: Bintang interactive app citizen feedback
+ name: search_documents
type: tool_use
- id: msg_01BX8Q2yutU9ToHdeRmefza8
+ id: msg_0186YsjUpkjZAvc28EjZuqHb
model: claude-3-5-haiku-20241022
role: assistant
stop_reason: tool_use
@@ -612,8 +464,8 @@ interactions:
ephemeral_5m_input_tokens: 0
cache_creation_input_tokens: 0
cache_read_input_tokens: 0
- input_tokens: 2063
- output_tokens: 192
+ input_tokens: 2067
+ output_tokens: 45
service_tier: standard
status:
code: 200
@@ -627,7 +479,316 @@ interactions:
connection:
- keep-alive
content-length:
- - '2031'
+ - '110'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Bintang interactive app citizen feedback
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
+ is_error: false
+ tool_use_id: toolu_01XwLKe5AwRGXwqaSQ2cpYyt
+ type: tool_result
+ role: user
+ model: claude-3-5-haiku-20241022
+ stream: false
+ system: |-
+ You are a knowledgeable assistant that answers questions using a document knowledge base.
+
+ Process:
+ 1. Call search_documents with relevant keywords from the question
+ 2. Review the results and their relevance scores
+ 3. If needed, perform follow-up searches with different keywords (max 3 total)
+ 4. Provide a concise answer based strictly on the retrieved content
+
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+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [chunk_def456] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
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+
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+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ In your response, include the chunk IDs you used in cited_chunks.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge
+ - Use the Source and Type metadata to understand context
+ - If multiple results are relevant, synthesize them coherently
+ - If information is insufficient, say: "I cannot find enough information in the knowledge base to answer this question."
+ - Be concise and direct - avoid elaboration unless asked
+ - Higher scores indicate more relevant results
+ tool_choice:
+ type: any
+ tools:
+ - description: |-
+ Search the knowledge base for relevant documents.
+
+ Returns results with chunk IDs and relevance scores.
+ Reference results by their chunk_id in cited_chunks.
+ input_schema:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ name: search_documents
+ - description: Answer to a search query with chunk references.
+ input_schema:
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
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+ - answer
+ type: object
+ name: final_result
+ uri: https://api.anthropic.com/v1/messages?beta=true
+ response:
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+ content-type:
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+ input:
+ answer: Bintang introduced an interactive mobile app that allowed citizens to provide real-time feedback about daily
+ commute challenges. This innovative approach to civic engagement was particularly noteworthy for its ability to
+ directly capture citizen experiences and concerns, especially related to urban transportation issues.
+ cited_chunks:
+ - 4f836c30-e3d7-4a55-8a14-8a41a5e939dd
+ confidence: 0.9
+ query: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during
+ Jakarta's election?
+ name: final_result
+ type: tool_use
+ id: msg_01X5JwiojsduKCdD7nmwcS12
+ model: claude-3-5-haiku-20241022
+ role: assistant
+ stop_reason: tool_use
+ stop_sequence: null
+ type: message
+ usage:
+ cache_creation:
+ ephemeral_1h_input_tokens: 0
+ ephemeral_5m_input_tokens: 0
+ cache_creation_input_tokens: 0
+ cache_read_input_tokens: 0
+ input_tokens: 3122
+ output_tokens: 193
+ service_tier: standard
+ status:
+ code: 200
+ message: OK
+- request:
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+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '2002'
content-type:
- application/json
host:
@@ -661,7 +822,7 @@ interactions:
- content: |-
QUESTION: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?
- GENERATED ANSWER: Bintang introduced an interactive mobile app that allowed citizens to provide real-time feedback about their daily commute challenges. This innovative approach was praised as a unique form of civic engagement during the Jakarta election campaign, enabling direct communication between the candidate and citizens about their transportation experiences.
+ GENERATED ANSWER: Bintang introduced an interactive mobile app that allowed citizens to provide real-time feedback about daily commute challenges. This innovative approach to civic engagement was particularly noteworthy for its ability to directly capture citizen experiences and concerns, especially related to urban transportation issues.
EXPECTED ANSWER: Bintang introduced an interactive app for real-time feedback on daily commute challenges.
role: user
@@ -687,7 +848,7 @@ interactions:
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content-length:
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parsed_body:
@@ -696,26 +857,25 @@ interactions:
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message:
content: ''
- reasoning: 'We need to judge equivalence. The generated answer mentions interactive mobile app that allowed citizens
- to provide real-time feedback about daily commute challenges, praised as unique form. That matches expected answer:
- interactive app for real-time feedback on daily commute challenges. So yes equivalent.'
+ reasoning: 'We compare: generated: interactive mobile app for real-time feedback about daily commute challenges.
+ expected: interactive app for real-time feedback on daily commute challenges. Equivalent.'
role: assistant
tool_calls:
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arguments: '{"equivalent":true}'
name: final_result
- id: call_yyataqj3
+ id: call_qdhgx2tb
index: 0
type: function
- created: 1766755963
- id: chatcmpl-518
+ created: 1767006097
+ id: chatcmpl-443
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 77
- prompt_tokens: 415
- total_tokens: 492
+ completion_tokens: 57
+ prompt_tokens: 410
+ total_tokens: 467
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_qa/test_qa_ollama.yaml b/tests/cassettes/test_qa/test_qa_ollama.yaml
index 969cc888..646dcdf3 100644
--- a/tests/cassettes/test_qa/test_qa_ollama.yaml
+++ b/tests/cassettes/test_qa/test_qa_ollama.yaml
@@ -1,144 +1,4 @@
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@@ -217,6 +77,64 @@ interactions:
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- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_x21van0h
- model: gpt-oss
- reasoning_effort: high
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: |-
- Search the knowledge base for relevant documents.
-
- Returns results with chunk IDs and relevance scores.
- Reference results by their chunk_id in cited_chunks.
- name: search_documents
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '1193'
+ - '1272'
content-type:
- application/json
parsed_body:
@@ -591,30 +262,27 @@ interactions:
message:
content: ''
reasoning: |-
- We have a chunk. The snippet says:
+ We need to answer: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It's a specific question about Bintang, presumably Bintang, presumably "Bintang" might be a brand? Actually, Bintang is an Indonesian "Bintang" probably a local government official. Wait context: "Jakarta's election" - maybe referring to Jakarta's governor election, or maybe a local Jakarta election? Bintang might refer to "Bintang" (meaning "star") or a name? Probably Bintang is a person, maybe a citizen or activist, or a platform called Bintang? Let's search.
- "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement".
-
- Also earlier the user question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" The chunk specifically answers: an interactive app for real-time feedback.
-
- But we should cite the chunk ID [a99375df-fceb-4d0d-bae4-c79ea5306ebc]. Also perhaps there may be other chunks about this. Let's search again with "interactive app Bintang gathering feedback" to see if any other chunks.
+ Use keywords: "Bintang innovative form civic engagement gathering feedback citizens Jakarta election"
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"interactive app Bintang gathering real-time feedback Jakarta election"}'
+ arguments: '{"limit":10,"query":"Bintang innovative form civic engagement gathering feedback citizens Jakarta
+ election"}'
name: search_documents
- id: call_e51ubvbl
+ id: call_uw8bfctv
index: 0
type: function
- created: 1766755479
- id: chatcmpl-297
+ created: 1766863128
+ id: chatcmpl-847
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 172
- prompt_tokens: 1532
- total_tokens: 1704
+ completion_tokens: 188
+ prompt_tokens: 548
+ total_tokens: 736
status:
code: 200
message: OK
@@ -627,7 +295,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '139'
+ - '155'
content-type:
- application/json
host:
@@ -636,7 +304,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - interactive app Bintang gathering real-time feedback Jakarta election
+ - Bintang innovative form civic engagement gathering feedback citizens Jakarta election
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -647,14 +315,198 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: XngXuUfOmzzTKsG8wte+PCRkcLqL00U9iVO/PbpWvzzXAcA8Y3JGvEFv5zy0OlS8nVX8uGKgfTyihdY87OOKvN4O7ztSmCy8a3YqvN97J7y9/Yi8oBxsPAuBSD2T1DW7d/aAvDGpBLzC0/a83NedvSopIDwZT4G8lDhdvdRYQb2Pu1U8q4ySO8zbJDskn7m8KOxMumXC47t7lm28SZTXOZjlQjxndxQ6dVSAPMWlJbyK1RM9W+C0Owuo5jv+ClG8vx1RvBSBGb3An/Q7XuGOuuVEG72tsgm9raxAPLbjCT0Hs/Y8mhoxvPUxqrwF9u68whaiu79M4Tt+KIO82Z+yvDDbr7u2yGq8deYMvctf6LztdJo7sp+pPGH1bLxnVZO7mmMAPFTHNLvXEI08ZAn3vCkqJ7x9V/w8oKzBPPxRpTzpeJE7HWjVO0KruDsEqva7KMUTPfRYzrxzc4s8PI3hO7414bwE4QE8mTtgPAOyJD1ORx48xJAQPTezuzvt3TU85Qk0u3RlCb0+mZe8jRKHPJLyHbyJuLy8ckg+PF3eHLwIrKY5D00SvXZ8k7zCpRw8KoHwukOcCjxhxBq8kE9svAFsfjws4vC77kLBvAPZgzpyG5e8zwDGPKzCrDztCGU8jIooO1dkcjzc86E7qSKHPI8jDDx0N0W8Ew3zu0zpEbyTAK88HTfFPJErozwstIS6ufLhu7GsxbxUL5a7NcbrOxJSjLq11s66RG8bvLH2rjyPAqi7aBAtO6rrLjzqKIW872CbvIGtBLqntYO8Sgdeu3QVhzyWGFS6QdF4PDyWoLzXQIQ7j4CpPPCMoTsAciM9LoeyvC01jjvciye7adNePNXqsru9yAE9dlnjvG6+DD0YXMQ7LAzJu1dB3byw3Da7gq6KvNgSPboJuzE8ZveqvAqivLs9Bk681LkJu1t3ADwW2J+8YFuPvFTmW7wVFt67LUnAu59vo7yaQIU8OqeUu9qoWDwjPxA51Vdhu5r1wTq3jbY8nToducGf17tZv3o7NLMMPDeGIzwJjRu83kTnu8Hhq7uMUy+88EV9Oyk2ojxxbv07mL8Mu2j5YbyNQxG7UFzkukz9HLtIYr87Bx6lvPY17TvLQtm8vHdjPNz8qrzm8Ke8GV4KvR2hjDyVuoc8dr/VvGO95bsI7v88uTHTPJJwlTrmITU8Pfq+vM8i5zqo7k29Ma2YPPAEOzzfJnk8tdcRPHXpTrwIlxA9/YvWPF4TpDtUuEM6YE8XPE72tzvcpYG87LvHu103Kjz5j+C8Vas0vcSjCL0uV0I8i/aePBRNuTvhcOe8kkQEOTLlI7zQUBu8Ecq6vDWSTLxwiwC8lMjyPF7cwryyHIq8jiEbu3/6pLwZgse8AXJzvMXO37isdog8c04MPVIsmbytgKk7JWxkvLYpC7hO6BM9YB4WPJHzzjqElVy7xssaPTAFm7vcaJs6fLwFPJbWv7xfPj28s6iqutfvUzyrrss8uhyfPLzBGbxW8iu7zTRAvCbL8Ts4s+24y5FUPDyJwTwW6TM8nCy8vISlRbvL44g8MzoWPEpF4LtBS4a8ZRCTulIlcDwWv788G2DTOQWU0bsogIC8/BINvMRyUrsmqik8RLOYu6HDf7lWKFI9Oq4APLR/NDy97Cu9Oe4AvYXEPLz23gG8NwLCuigSyzuQL1o8ptOzu5A+d7qnDXY8eodivL8UzrzTWzs8lWB3vfjbBr3zlhu8Cvr+vBiOeTyqAl08O35EPGCAUjxECHI8GLuyO4BUyDz6I728jweKvMNeczs2Oxu7meP1u6BbVj1J76s8aYZ2vF/XI7lpSuw6dN7putFrvjsT13+8WWoDu13dUzxC27U7iW4Vvahbg7uxJNI7MQ2zvNLjHr34Uxi84wgIvSNlBz3eWZS8XHkbPPOB3TxsP6q8WvBnvPR7Kzt++HA85azHO2BLZ7wEsFM6Qy3BvKnLAzwdfwK9Ic/cvMmfkDxmIb28NwAbPYH2T7xD1mS8e8IIuxjxhDx9LMi87C+RO3gMUjzNu708RZ/2PB/UervTsAE9s6msvAGXTjyifg+89OiSvGL8WryTFIS8LSdcvP6OxrxrV6c8d6TwO52ikrzqreY8wZ9YOxPnaTytD+Q8S/KzvEN2p7w20Wo61a0uvZo787yULIA87GaEvGuVnruecTU9tZhJPPMRyzvAfmo80gDiO8nReDt9T6U8TaG7ufHUujtKJY47Xx/PuxygK72TMtg8SLflOnnHYrx7Drq7k13QO3v7HjzyjaQ8vUq4vBoSGD1wFHI8V+kDvUH6F7ocQvO6kxVdu58qSD1dOtq7gmI1PeMObzyqSFS6wwS6vK0U7LxVH5s7axiEvMCCfDx+/bY8VHtKveS6tLsUs4g6sCprOxZxPT2uF9e6r7P1vEtKhbsawJi7kdYMvLCL2rt2OAS8xeC3ugGbK7ysd/O8HT4KOl9ubr24bLg6Sco0vJqcsLuNl268noIovchJRLy1VY67sMWJvE6TED2iPNu85z7xvEGCY7tEQy68sFASvF1GhDwIsvM8IaYhvD+2hjztEK47LsGOPNXh7rtg09G75LQoPFX6WTyXhPU7/vPdPJnvF7teQpe83ESIvN42BTxulO27/BxHvNnwXzz65VY8vkASvIH0Bz0edby8TA6WPCalPzz5A0m8u1nhO/i3jTxCyQK8wWEtvFPI0jwpW/Y8r7KdvGdbFL3cxpA83fTWPETB5DzCZiw80qJWvZl6CLzKVuu8r2d/vK3KH7x/nf4834FXOnpUpLzBs4470XsPPR5Fxry0xLm89guqPKPwlTz4xJy8NSFPO+lKF7xFuJK8u3FOu4Mj1rp6bYY8IrYPvc9J77tq5Hw7rWozPYq2Y7ti1sG897ALvJmuCTw91Rk8FhPuu7B9vzxUzAa8z1O+usKcUjwcgeG8N2D4POVLpzyt2+67e4yKvJsbj7y6yxg8pEU4PUzgsbuJ3qs896TQO5GDpzqpbwu82nRcu87CzzuEseg8se2Wu8VGOTt8EQ08RgD2PM0/y7rPXoG8fer5vHOaID3uET08c6qNO7pZVzwwpfO84/h6vFXdmLynAJq88I4JPBY4PDxCXec80dQqvPDV3ry4cGA82E+GvBeKmzysC+Y8kYW1PNPSKTxhM2m8EQZovKqv3jumVGY8XpjjPAdFGr364uk8h/6nulw3ZbwEuFi7w785PRSWkLzspIC8Do6qPDGIfLwabQS7t4WIO/DShzzFUhm9JHeaOjJNCjwpTS880ILwOgKkgTrkxg895gqjvKCDl7y/ync7q8FnvMySlLyyBpa8QKyKvMNcj7zYUPi8USqWu/xIjr0xaiO8eOcFvR6OFLzI3ni8s10PvHdbBTy0tCw8dLCzvJaUDbtcl5y792Z+vB6KOz2FkKG7nZTnvPF1PDyEXoQ8RNDRPNyhK7wNipo8pYCxuzBrO73efcG7JknKOxSBzTxv4pw8/lkrOyCmD7wQBQK8RtMBPRG7jTwMCg491H6DvCpZ8jwpQVM7xONyPC7dxrsqBhw84C2zPGh0i725xSo7WTQuvYKHj7zYjHA9E8mxujyWrrxbp9k8391lO97rPLvEtmE9vWc3vU0unTxlH266lA6kPFCmiLw3n707AjKiuzHKLDwSa/K7IOsnvFuKr7xiRRC9MAElvGEqQzzjhO08QiqNuyJmWLw7pZa7gZ3HPEfpGjzYiwY91OcQvOBrbjyYf5G8FmShvGLomrzlGL48hP1zPPmGHzyywsC8cQ+qO1pPBj3a1Tw8+ixROq2/5DxL79C6yHU4vB3VML0s/ks7bkkWOWmsazxD7TC97ipvOb0VZjlM8g43FCq9Onc73ztb9ay86Lz9uGtDuzt6TWE7+EaEPAexIjvMBoK8xX82PWKVnDsQM7e87fWDvODtgTxTmBi9Xv0FPKxx07zRNe07rRlSvaYaGLuQIYk5IYWBvCPQxzypbrA8RnVsvEpbAj2EBiq8F5AQvFooNTxQd1y8d+n+uxpx8jsF3to8l96PvBCZC7zoUZ88xGc5PKurojyhNCA9WjKcPCnOzLzcCLW8boQwO3oLirxM7CS9RVWyPH09JjzQCXu8wJl4vXKtlDyu5e67HqAGPBAl9LpKbz67DNuuPFdvFbxAaDa8FKyMvANkEz2X5Ny8cCOyvKHdZbyWktM85E8WvLbuqLzTd+W81Dw0vYCzv7zfth06yuoTvdkZVzxJ+gk8QXEPvFE/vju5v5Y7JiyZu4NPf7wyhdu7nxmGu6Eaxrw6zlg83aUdvcV6XzveMBg92zsSvF6GObo11Aw8KTyNuxiAorzKJE08oB8vPCsHJb1qwiw6LJsjPO0Gw7wTaFm8sL/AuvAk0buEk7w8skwhPZ/pkzyp7eM8Iqu3vG3Zhbtcxo08F7dwO5bd3zwVxOy8cdMfvN4KKrwYkIK8ZHTROyB+rzmkxZI8V/y6vAkHn7z2+0S4SsNsvXjge7xMwqm8LmI/PC/BEbxOQ1w9LXRqvaEreDz2Joe75iaHvIFczjxfahc8mdQVPD/Z6jzUil89tJ7Uu5NDqjzi+aE8bGzLPDa2QT0Q2g+87BUXPUU2KLzl6kU8XJk9vdpDWr1dnjc8MoRtvNnTLrzkwJa7kBcBvX/aUDqxHWa9b6LSPMGA3zsHlJs8U8+3PAlwZLof80Q8s+uCvDEHZLztCkq5GKC8PGpe8Txr9zE8mMpYPWmj6jzp3Qq8t/+UOzb2VbmFIdo7el+iPCKFIrzeb8u8X4OcPIt0tjzz3h89WCPLPFoldTuGfIq8f6a9vG5TQjzO/BC97ai2PCdqqDzuUW68moWBO5a8Iz3C8w+8O5tZvAgFybuYVIQ8vV1XO2Y8ybwBiti8/oZYPADv3Dxe7kW9vzYrvGrADLsvv+g7p6dLvJoQzbrAU8k885OePPMa4LvpFVs7IghcPd91Zry0JoW8f9o6vJS4q7zlOyi6FccyvcHuwDzC9Kg7EOdhvO1N2rzbQfC73K7CPGO03jtEok88SsSxvN6gqLyv+UK8SDV8PFGZQz3pl1C7HVDNOuM+u7ppntO7VLtmPKEiJzw0y4276UZVPFiDPLx5IQi9/u0avA33qjoxK4C8dKFUvNA8eLspwZ08Xm5VuzTEEjz4FOe6TP/8OgcC47nbrbO8OMSEO23DrTw8lXo87FRJvGnyurvmg4q8/9V/Ow79y7sWprM6W/GhPL6c9DuCNCg9COmAPeiW2TzpjR+90cKiOmu0CzzX45a8qFuTuTqBcb1ifI68Wz8avFwjIjzsK328HPLBO90giDxW7vk7vHTsPNYfZTwgshM9wX+WvDU5EztT4zg8+ngLPQov6Ly8PS88ULODvHmEOLyvbrm8YTMIvQ/V7zzi8om7ArMGPREcTTxiG4G6gIgkvHo59bsKJ/e7cQDMvKziNLuLQZS7yUO5OzpkJrwv6tI7NWRwPKxkSLzWNe28CfEUvEATAD3sKAK9+8wXPSxpWDy9P5s765CwO8b/qjwmYQ08glvFujCvEDy9b6A86p5kPKU167wowl48wIhMvL6ImLwLKPK7c+S/O7C7DbzykeW8QqBSPHUYBLwAmw68FxCNvF4EGL0qkqA8KoYfvNDAxzwHBkM8iyxuPI+Qg7s4phq9TWhgu/6CP7xbguY8dAVFPKUwXzx2mTO8zyAlPYt2i7wOdMC8AFtJvXkhfztI0QK9ZFvYvFxxtLv73E69FIkEPSHgaDyYQiE71P6kPB/22ztjLhA86juGvHWClrz2pxm9yqbqvCKzTDnHVZK84KBEvCtGwTxFBrm8uOKLPOXhrDwY19i76MwGPU3XnTx9cBK7niZNvAvAUDxKiUk9HtGcvH+kIL1ZaCo8s1FQPJ60Prz+aRq82ppQOskywLsrxNC8XP2dvLByVbtFdzm7tAWOPPOeKjsnguY8H2m0vINhCzzbC/u6DqIIuzOhpLwnsDG8A/M/uwOo5bs8MYm8eyTuvKLo+Duf0zs8QumnvMna7bcJ+gc8ZNgUOxgntrkk9tE8KUgWvG748zy4qfO646aLPFHCsTyyodK8Dg9XPT/J0DxFJuq7h4D0u/WlT7z2IQu8ITx8vAWiczwusYi78lg8vF0Wm7xC45g9W80evK3JlTzsF208h64ivJm76LwFWr48cvqTO421oTvUud06EfYiPO/a1jxM4/A8Xdm0uzm9Zzy79jS7d+PlPAxPHDwQ+M082P9IvDr9qjxxFAq9HvGvPEc9uTxTxs68fAXJvLFrrbtHdME8AzJNPGP/0Lgy3PI7sGgcPN8T2bk9aRe7W/SavBKDtTwTShG7ey3IPK7vGbuU6ty7T6uFPKZ3jTudNNq8M3AuvKGXCLx4ofI8FQ5QO723TTu09Im8DLt4PCmnMbzXOX67+zr0vAE+LL0iDPO87T6XvHWgB72pPGy8MMsCvdBtGrybe8i5QjG7OWj8cbsUJl28fYxsPXt8ET0lJhu8p2Muuqg3GT03X5K8eKADvVRTLD1Y6rO8kUrJO83rH7zjA2w8uv1CPNgnJbxVv+C7vQIQvRjqL7xBr7U70gDZPGc9HjwSqBe9ZGNNuufzpjxIJR28cJG3PCKBmLzA2Zw7/n0ou8spBL1omvI8oCweO+b0jTwdr108l5WxPDtk9Tzzhx09V6fOPFkHlLzQGNA8V3gWvJJUBL2++Ky8wFMlOzOKaLpXWHa8KfIzvH59Zzzl9nU8L1vbvH04bjzKZU49Afj6u3mdcbzf4/a7Wy6pvJhNl7zuKZk8mGHNPIb5kbv7hIk7vStfvH8tfTwXWxM9dAVDvHXtDD2tdEs8ifaCu21kPLtEQRK9kqYQPWgnqrxRqMg84WCaPEEcizyqhb+8VOktPG7w9LuSVNC8stgPPF1z+rsyyhO9VrIaPHC7Gzy72ge8BTfovFchw7yxv6q83aPvPHVLGrsdmY27avSVvPDgTTp0laO84tNzPLo1cToFaLw7X7MYvbJNWD0G8m08v16Nu6rjkDu5Wpg8lbpkPBnaXbylXUw7OWJFO7mgjLwQZ3c800SPvMlFrrsi1po7BJDCu7vkNrs3XrM7jRKAvOJkYTznfau86XMmuZAcq7yb5K68P4szvJBI8DvP3eQ826q/vPbeaDwSZwe8HXeaPMF5hTwBUr88RZjXPKyJfrwZJfe8emGvvE8w5rrRyXU80UfVPF6HQDxp0fi7WAphPN5jPTz0Cai8NISPvNt2NTy1LqA8LlbaPOcg6bugQC49nXfYPDhjwjsRH6i7J2h2PB2/LDw0twO9UA6MPKSO67z8f4u8OAuAO2eg8DyW3r48rYPkvIj2cDyHpw08SqnyPILrlruE7sG7YnA9PRwF8jw6uXC7aFudPA+AHbznOwA7pwlgurJEB72eMko8+Qo4vFqXCD0vuh09ss9PvLZ1NbrkoKg8JNZ7PJGEaryRg7+88mRSvPVcvDy2tyE8lpX5vAtKTjz3r4K8gFQlvbkS+DtqqeU8NGyUO/y107x3sUg80fALPTUayzq47eo8UVcnPEt807vvzvm6WKmGvDIfHz08xG68wqfQvPkQAT2Z8yW8rq4Bu45+KL2n/xK8vEKJvHowKbxRcKa7pfdmO+6HELrv1WU8SFqPvMLRPj1K9kU803WrO0JR37wfY507XBDXvAl2GLztrF28ee0XuzzxXTy24Dg92D3MPFfJSD2iCJM7pnxqvJOZYrxXCFo8sLyQvJCoY7lFx+Q7vWPCu/aaobxKvZC7BIqjOvk2EDsCvF+8JVsCPRgWxDttizg8SSr7O4zporsMs4m8ac3OPAlS9zqfuig7Bv2oPEl2zrxNH927wdn0PN2q/7t7Evq8VT7tvIOaZTsZe/y8fO8EvYctJjwUyRU8xVRHOxppxLx3me06eMl3PBT3tLwqEN+7477gvKwYvjxJVi88wUxxPLMoMTwb+EK99vuVPDYNkTtgsoK83YVSPKHo8zuK2N87jxjgvOQ0ubycAvY7khujPAG+4DrPnd27YSfmu6HOpDxBHiq9MoOtPCmPqLwzHAY8EC2HPNe1kLvBnuO8UVQWPLxgETsCjTk8Syntu2p2S7wgQQY8EVKDPJCdGjwq91U7oMUGPLiHBrwc2X+7w+eLO7JdjTwNqLC8d9MVvFgN4Typ1i68KrH6u+7y7rsBAhI9CKLNPElUsTu+Nbg8QEpJPLq26ToQIog8S/Y3u4EJC7zuRTM8/2ciO3+DODyUXaw8yO8WOwRsFLwJbCk7SDYtvDQXVzy+gQ08dNfPvH7ZATwiHsk8mk8gPPtEe7uaqYe8diSHvIeG2jzD6RI8e5z3vAz/BD2y6EI8l8KvPO/jQjwprZK79rw9O2zfUT2TkPa8EYDEPO1HdTyk0NC8EBYaO/PKJD0IpWY7sM3WuzrC+7zMD2k6qvi/OzJqpzzEq+27mqPjPMCSdzwY+mY85ebUO4h6IzzcT5M8jCm1vCBItbxpG+W76APHO0v6gDu3pIm742OJPHId/DvQv7u8yc4APKeygrzD9Yk8LI7yu3whX7saCsu7a83nu7RwjTwKVsw8jMDIPONuM7z4dMi8rHC5O1GDRzz6JBS9iO8jvLNS4rsmYKS7AndsvKGLErsw0AA8a0uMumgf3TtzLAm8F6VvvGEz2rzUKTi8iNEOPbEfbDzFYKE8oaFOPIDbFLzcS9m7LVWYvEYTRTxvU+o8F/TaO0riI7wgvWY82TLIvOmM/TzWMtu8z8axPKPOUTp2Uvm8UqQFPNQ3e7xi7/069eTXO267ebxHQ8m67JJxvEdaobjDtA281vyivHRFLrsFpTk8xXAEPbbs8zw3rO67qYEJPX5gXzzDOCk8j7KgOzJ07btZ9Rk8YNJZPAwt8bsXcAa8VE+juwgK+buDrAy9DX43PcKdArw4kg+9TFqIPFHw4ryZnYY7gdCMvN6mkjt49Fw7EuwCvb+A4ToUNYw8mMFHvKom87rCVx29u4NUPMkY5rwsybm8KiHvvHqEHr2MsaK6T2nmPNd0k7wrzei8VFhiPC9oXTuRZWA7lH70OvuZgTsQo2s8oMBcvD6ETj1W43e8uC0YPNLjZ7wq0OS71YxwuwlVMzsd43m8XbEau492ETxxJIO8KdSIu0Ii0zzeKJi8tZf7O3L0XLwFpTq8L7tZOwz5bzwgLBG9BB1uvOB4JTqeLg09GfiYO7NbVbvTRNY8vGYMPIIIkzxsvOA4j7vPu97k2LwmmBO8grlWPPzcCT0TZMs7q+emPMuF/DwdMrs7whSNOvXFHT1vmiq9DdebPDmxDr0r+6A8/Uu3PC+ij7y2fP66L1YGPPoNNT22DrG7s4VXu8i3n7wwenC8dNuJvF01QzyAo0A8nGbyOy1YILsVgBE7DFIivLrlXbynyAu9UIoOu922Vbug9Ak84gsAO9M3uDs++nk8HXUMvUbu0byRxiq9sGezvL2eRrvuCxO9Nf0SPTeQd7zAQfK7Dp2GvEj0iDwwAgW88BgjPQIPlzzG0q68FKp2PD3hjToXgLq8ulEqvL252LvAX0S8vHIEvSACWzyJMNc87ijRPFPdH71X0bY6ySNmPIXTVru5MaG8pLX/PMImNzugOIS77lsuvExu+TwWhoi7LQQAPMPL0byfuTk90WQYugafGL0JQGG8ICoZvf2WPT1W7+07RpZ6vHD5xrtVNdg7IeRAvLvikzxxHRy8kdgbvGy81zqHZEo7XPsXPBvSA7xXTAI879GYu8uvBbwXfeK80zfWvJQn3rwrA4Y8OvsivSogCb1/KxK8MDgSu/xzjbzpemI8eKICvD05Gjs8yxa9muWtvAb7gjw4uRe7oBsDvHmnsrxdjs47keOTvLCgNDwQIpw7e68Avb0NoTw+hKk6kuBDvINXPjyWROm7OP/HvPSLSjx6Jr471JjAuwApozoU+xC8uUuVvILVzbyqATM7tKdSPG+DAj0Tm4w876e3vPhmAL0UIBg74AWmPB0g6zw1jrW7xoAXOE1xkzsE0+u7JLugvP72tLzJRde8OUWwvHIy57xeHjW797aJPP5Z/zvdy7E8qcmTOiNPWbxwW8+7nGU4PO9hRztQ2ho9QUWTPKck47tfIQs57stHPUfYXDyCP7W8kBTgvOb7kzyHqcI62Lo6uzxmDzyJbbO7KhoRO1u99DwfN6e7oz/dPMSrXbuDCRS9qfgtvW9+p7ykWb08FhXMuvowlbxpFhG8wx0ivWyMQjxzIVs8tN7quqUfajzTA568FUeyO4GXWzwjoII7q7q2PEgTYzyOqQe8ImuJugqF4jsPXQY9G2eVPA6RdzwfB1I83C3HO/6NzLxvpuQ7kkuyPF9HFrpVl7A6ijZWPElbYTyi2hW7tsfROKnuIDxLC2W7kKtAPL65rDrYiqa8j5LqOzMB3Lm1nT88oOl2vCoRB71oMlw8cCRtPOsxazx6Mj287gDCvANU97u2dg68tWbAPBFXnbs5lXM8MKrKux8H2bzdEk48ETuQPMJPmDsB3yy7AC4ZvZ8+zbwhSwI8DQBdvOphXzx7IDy9vGzCPMVpa7tEcQQ8iLn+OlZHfLxJkKe8ORBYvMcK2jzojIG8yhVWPF4oQ7xHqai8zWkaPcr0i7yBydO8p/ZTvF7WKTs+h9O7eRejPFofPb2i0yW8Emj+PIpGEzzoqS681NEFuzUytDtI6as8HpedvDmIiTzP8uY8CxKPPM6jJrswSe68jlpJu/KTGDzGCpK7WuBlvGNJNb3Nyw69MXcCPQbnAb3SlXK8Wjx2vLr4H7w1e/C7dOMAvbTsM72XNWQ8EBIGPKQTJTwgkrK8732xvOocNLz2veC61QpDPDcQa7x7FY074NIcvIe5UTzY1hu8bsvYu3ErpzsdrCC713ezO83wqbzxgwY8231aPLNMZ7y1o9m8hIj4u2A0pTx/oIu8rh99vOuwmTt3xfQ8TNwdOwTnuDscNVu8oV81OgHyjjw/gnk7o8esPNCXTrzPlDI8oO6pu1qUurzBSnC8NMPMvAY79TxLXZq7ptAHvXHJNjvbozy9Xgg8PQR4tDs1zOC8YtGZu6VNjbsukVK7y6cDvHClpTyUXQW9EdI9vRXuoDjsL6i8V9bAvMhH+rxTtWG8oIm1vB6e0zsFN6O8TkpQu+J/QTunj4u8PIsZvP0B+jwMFjM7kU0GvcFV17zk4EQ8uEHXO/zvzrw/PKo7VeAhPXVP4DyEYnI80RLpujpVsDz3rN46kXqCu6QbqzwipdS8mb/mO+n+PjyVb3K8HSPTu4sEvbz+mc+5EM/2PEL9yrwjNZW8PG+/PP0jEr1H+668zAhuvM3xGzz71Bs883xNOj7yC7zbKlC8YG+EPIhg9DwfWxe8wo0LvN0lNbxiDh47OMWtPG3pEL3c18U8D7ORvEBztLwgfpW8QwxOvIzd4jsjoBE8W58YulEx4zxAY/K8vv1tPNNPDLosgV28b8qCuxPnCjwLSNC8Lg2HvDCT1zo0MFO8DZ4svHunkzxYexm7wom5PKVwczyyUCA4KswTPAnRqLxcIXW5S0zjPHVnIL2jc1U8nFaOPPeLPbzIRoS7liiIOqNAzDspBFk7y8touyk+/bv8zbi86/SWvFbQ+rw6d768MvcdvbbKoLtZuo68IdH+O9diBD2kKic8MEN0O5d99btq6AW8J3ksPAeJLzyecKi7WWzHu/GsDrxbIY88141YvIuNbbz4gUq8vEaluwz4TD1wMjQ9iuaSu/L1fbxOZhw9fPKuu3RRorw+fwa6E0nxPAOfHrzNJcW8cUMaPKHCBr3GdBo9Z9TIvK0JwTvZTBq8MUCkvN0IBj2lr4y8M/MTvH4cIrxkjBK79BKYvPAyIr19Ywg9EAx7O3aT9TyubqG7z5sEu87oX7zQDeo7FJjYPJ4g3Du5MI08MzcRvTG3PbwgxOQ7q6W7PB4UODtJ1NQ7mDE5PO0uyrsNrD+8cYHZOxkY3Lw+Sbg82wmfPIQ0vrz4osI8cIVuOS8+Ozt62/i5SjfkvPyaS7wm0Ta8+jSZPDxxvLmUjlu7Da6gO7UCpjxZim+8rSCvvHGXZLxu2QS8rlievJF5nTzegxa7bhrmvO9oDTx99Xk8O/ZZvMlvCbzGjsw82BwVPaeomzzcSyG8ISawvC0IkTw4+kS9VLR2vIe8lrxnBWs8iUD/O7ocn7zoeIs8+yezPAaCHzzTDym6uMRPvAj/ijxe64E8c0RqPKH+6LxcJ9c82wKZO6GQMbz+VLO8bvNSvIBnmTyhVJk8SyCbPDHpvLy3BIE8kSNGPI2RFz0UaMk8QRuGvD0TIDxnU+m7QMVwvGg30Ds2c8C61ZODPO0ZjjxYg/K8cpGcvJvbybp2gYG877WZvAuwLL128xU8YEgiPEXioDxi8su81naHvN0fa7zY0kg7Wdq7u45zED2ERoU8gjQMvUn1bLxBTG08YCIhPPbrkTydisC6BjbAvG0qGzt1syS9JKl7vGiXmTxa2Y+8jze8vLOo5LsK+HI8me6nvItn0DuR5Oa6jiKSvCmO5Ty85o086740PHIolDmUzKy8oc3rPCLBQrzwua28jSuRvMQQVbzmKhq96739OxujlTsDZWC83saPvJc5wbw59wS9pb9vvJa7vrqRyeu65WFwO3GLJLxLp+W8Cb0WO87J3zxYpxU8JF06PCCOB7xzGn+8G8Z+PPPTrbz01sM8TuRVPHDXzrkW4M28KB/HPOVqH7tAcj88vg4HPZjqGrzX3bM7CbAWPFCb+jvEoU09q6vxOn0+nTzyd4M8mFhbvZAyELwAqqi8QoxsPGzwgjshpq67peoLPDU9RrtZlb08r6TbPMzj87qVsGe8ANMCvQ+CfzynpJ+6c3ebPKT3grzg/M07OCvxu06ZZLvT/Hi7sagIvRe3LrxLDm04rUmPu7Rx/rsGbLK75hrPvLPnczynB128Rt5guBNiCD3fXb47A+qDvE+B27x+Lha81w0nu6VKLrzeGPY8rBRvvLST7bx8C968RtKEugNhmLvawN+6BPnCOzbky7tguE88yOkDvcbLCz1jZoG7NbHfPMQMC7xCK1i8ybQdPePt+jzCfWW8wSGJPErkWzzD7qW7xroiu3OOD7ykzzg7duVfPLg9mzxMejc8cB7bPAf17br9jvG8rr1Du0CKybsvQRA7teYBvUM24TybSC48dzUdPTovYjwdit47rI+5PAvZ3DsJB9I8eNw1PPF2g7xWvIG8Dxe8OykVJrsE/408++1LOh9/oTosk6W8V0ZKvHhJYD0gNvi7Rl3kPFohHbuR/7W62xlVvOLQ+bvj4FK8yNWJPCsrbrwSWai6QuwMvdcmz7qVJym8YEgFPfu4Obx483Q8A5oVPLKevTppolk8boYdPLSW2Lzb43Y8/Fw/PDQ5vrvTM4U8wTx5vNUFxTwija28bA5au1Zn4DkGIlM6MveIPAgLOLsaFlG8onzHO6bf3LybY3S8OAifvFH6ozwDboC7DjLgu1jOmDwF8C28YbL5PHks2DuLP0A8/ZcEvbHebbke/YO8FQuKPD7kczyoPpW8qm8Du2kEhzsJ1mq8jpuoudiKADvwf4m7FljiPGP2+DvbYoE8etFuOsEJ3bs0dLM7GZ0OPEgjALwiv146BG5MvJS+ezxEW567xpaOOwHUJryQrPe7zZFvvIZvabzXC5+8ncL4OxZNCzzGuK08XdqmvI6Nj7zayRM7wg5FOw==
+ - embedding: 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index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 12
- total_tokens: 12
+ prompt_tokens: 13
+ total_tokens: 13
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ vary:
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status:
code: 200
message: OK
@@ -667,7 +519,7 @@ interactions:
connection:
- keep-alive
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content-type:
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host:
@@ -719,17 +571,20 @@ interactions:
role: user
- content: |-
- The user: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We must search the knowledge base. The query: "Bintang introduced innovative form of civic engagement gathering feedback citizens Jakarta election". We'll use search_documents.
+ We need to answer: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It's a specific question about Bintang, presumably Bintang, presumably "Bintang" might be a brand? Actually, Bintang is an Indonesian "Bintang" probably a local government official. Wait context: "Jakarta's election" - maybe referring to Jakarta's governor election, or maybe a local Jakarta election? Bintang might refer to "Bintang" (meaning "star") or a name? Probably Bintang is a person, maybe a citizen or activist, or a platform called Bintang? Let's search.
+
+ Use keywords: "Bintang innovative form civic engagement gathering feedback citizens Jakarta election"
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"Bintang innovative civic engagement gathering feedback citizens Jakarta election"}'
+ arguments: '{"limit":10,"query":"Bintang innovative form civic engagement gathering feedback citizens Jakarta
+ election"}'
name: search_documents
- id: call_x21van0h
+ id: call_uw8bfctv
type: function
- content: |-
- [a99375df-fceb-4d0d-bae4-c79ea5306ebc] (score: 0.03)
+ [73cf7bdf-21cc-4139-b5f8-df04212da83d] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -774,71 +629,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_x21van0h
- - content: |-
-
- We have a chunk. The snippet says:
-
- "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement".
-
- Also earlier the user question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" The chunk specifically answers: an interactive app for real-time feedback.
-
- But we should cite the chunk ID [a99375df-fceb-4d0d-bae4-c79ea5306ebc]. Also perhaps there may be other chunks about this. Let's search again with "interactive app Bintang gathering feedback" to see if any other chunks.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"interactive app Bintang gathering real-time feedback Jakarta election"}'
- name: search_documents
- id: call_e51ubvbl
- type: function
- - content: |-
- [a99375df-fceb-4d0d-bae4-c79ea5306ebc] (score: 0.03)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_e51ubvbl
+ tool_call_id: call_uw8bfctv
model: gpt-oss
reasoning_effort: high
stream: false
@@ -896,90 +687,157 @@ interactions:
uri: http://localhost:11434/v1/chat/completions
response:
headers:
+ content-length:
+ - '1260'
content-type:
- application/json
- transfer-encoding:
- - chunked
parsed_body:
choices:
- finish_reason: stop
index: 0
message:
- content: |-
- Bintang introduced an **interactive app that let citizens give real‑time feedback on daily commute challenges** during the Jakarta election.
+ content: "Bintang launched an **interactive app** that lets citizens give real‑time feedback on their daily commute
+ challenges during the Jakarta election. \n\n- **Chunk used:** 73cf7bdf‑21cc‑4139‑b5f8‑df04212da83d \n- **Confidence:**
+ 0.97"
+ reasoning: |-
+ We have a chunk id 73cf7bdf-21cc-4139-b5f8-df04212da83d. This chunk references Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges as an innovative form of civic engagement.
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
- reasoning: |+
- Now we have 1 relevant chunk. We need to produce a concise answer referencing the chunk.
-
- The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We answer: "Bintang introduced an interactive app for real‑time feedback from citizens about daily commute challenges." Provide chunk id.
-
- We must format answer accordingly.
-
- We must not add extraneous text beyond what is asked.
-
- We must provide the answer, citing chunk id, confidence.
-
- We'll deliver final result as per final_result structure? Wait: The instruction: "Provide a concise answer based strictly on the retrieved content". In the conversation, the assistant can provide a simple response but must include cited_chunks.
-
- We might not need to use final_result function. The instruction says: "Return answer in normal format, but include chunk IDs used in cited_chunks." The earlier guidelines mention "In your response, include the chunk IDs you used in cited_chunks." We can format as plain text but maybe include bracket list. We can say:
-
- Answer: "Bintang introduced an interactive app for gathering real‑time feedback from citizens about daily commute challenges during Jakarta’s election." Then "Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]"
-
- Confidence maybe 0.98.
-
- But maybe we need to use functions? The system says: "Return the answer in a normal way. Provide the chunk IDs used in referenced format." The earlier "In your response, include the chunk IDs you used in cited_chunks." So we should provide a concise answer and then list the chunk IDs.
-
- But maybe we need to use the "final_result" function? Actually the prompt says: "Provide a concise answer based strictly on the retrieved content." It does not mention use of function. But earlier system says "When responding, use final_result function." Wait, let's search guidelines: In the initial instructions: "You are a knowledgeable assistant that answers questions using a document knowledge base. Process: [list]." They had "search_documents" function and "final_result" function, but the final step says to "Provide a concise answer" but nothing about "final_result." Actually the tool description shows `final_result`. However the actual instruction from the system: "Use the tools as needed." The "final_result" is presumably for structuring.
-
- But the earlier user responses in previous tasks often used just plain text and citing chunk IDs. But some tasks required using "final_result". The system instructs to produce answer. The typical pattern in these tasks: we produce raw answer lines plus chunk IDs in brackets. Let's review from earlier Q/A. For instance, in the conversation before, I saw typical answers: "Answer: ... [cited_chunk]" The instruction: "In your response, include the chunk IDs you used in cited_chunks." So we must list the chunk IDs as a separate list. Let's examine example format:
-
- Maybe like:
-
- Answer: "Bintang introduced an interactive app..."
-
- Cited_chunks: ["a99375df-fceb-4d0d-bae4-c79ea5306ebc"]
-
- Confidence: 0.97
-
- But the guidelines didn't mention "confidence" field. The final_result function includes fields: answer, cited_chunks, confidence, query. But is it required? In many ChatGPT answers for these tasks, I've seen that we produce a JSON object with those fields. But the guidelines say: "In your response, include the chunk IDs you used in cited_chunks." No mention of JSON or confidence.
-
- But the tool 'final_result' is defined. It returns results with answer string, chunk IDs, etc. That would likely be expected to be produced as the output of the "assistant" role.
-
- But the typical pattern may be that we call function 'final_result' and return JSON with answer etc. Let's review previous tasks (maybe from prior interactions)...
-
- We cannot see them here. But we can approximate: Usually the user gets a response that includes the answer and cited_chunks list. But how exactly should we format? In the "Response format" guidelines, we might see "You should always return json with specific keys" or "If you need to call final_result, call it like this". Let's re-read the instructions: "In your response, include the chunk IDs you used in cited_chunks." It doesn't say we must use JSON, but we should list the chunk IDs. In our answer we can do:
-
- Answer: Bintang introduced an interactive app for gathering real-time feedback about daily commute challenges.
-
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
-
- Confidence: 0.97
-
- But maybe they want a bullet list. But I think a concise answer plus a "Cited_chunks:" line is safe.
-
- Hence I will respond:
-
- Answer: Bintang introduced an interactive app that allowed citizens to provide real‑time feedback on everyday commute challenges during the Jakarta election.
-
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
-
- Confidence: 0.99
-
- But the conversation says "Use the tools as needed." The only tool needed was search_documents; we used it. So we do not need to call final_result. But we can output just text.
-
- Let's answer.
+ The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" So the answer: She introduced an interactive app for gathering real-time feedback from citizens about daily commute challenges. The chunk provides the answer. Let's note the chunk id is 73cf7bdf-21cc-4139-b5f8-df04212da83d.
+ Thus answer: An interactive app for real-time feedback on daily commute. Let's craft a concise answer with citation.
role: assistant
- created: 1766755510
- id: chatcmpl-488
+ created: 1766863137
+ id: chatcmpl-844
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 1157
- prompt_tokens: 2597
- total_tokens: 3754
+ completion_tokens: 234
+ prompt_tokens: 1628
+ total_tokens: 1862
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ AAA=
+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '5018'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=mxVz43p3rFdabz9ZPergTGffeEFuK%2FTnGtrWkacQC%2BnIklbs2f%2FW9eNsYeAXxiOZoLpwKg5K8wabXI6fE1YrMw3iwjcoT15PLMf3cOteh6vr83H4"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
status:
code: 200
message: OK
@@ -992,7 +850,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '19736'
+ - '9847'
content-type:
- application/json
host:
@@ -1044,17 +902,20 @@ interactions:
role: user
- content: |-
- The user: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We must search the knowledge base. The query: "Bintang introduced innovative form of civic engagement gathering feedback citizens Jakarta election". We'll use search_documents.
+ We need to answer: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It's a specific question about Bintang, presumably Bintang, presumably "Bintang" might be a brand? Actually, Bintang is an Indonesian "Bintang" probably a local government official. Wait context: "Jakarta's election" - maybe referring to Jakarta's governor election, or maybe a local Jakarta election? Bintang might refer to "Bintang" (meaning "star") or a name? Probably Bintang is a person, maybe a citizen or activist, or a platform called Bintang? Let's search.
+
+ Use keywords: "Bintang innovative form civic engagement gathering feedback citizens Jakarta election"
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"Bintang innovative civic engagement gathering feedback citizens Jakarta election"}'
+ arguments: '{"limit":10,"query":"Bintang innovative form civic engagement gathering feedback citizens Jakarta
+ election"}'
name: search_documents
- id: call_x21van0h
+ id: call_uw8bfctv
type: function
- content: |-
- [a99375df-fceb-4d0d-bae4-c79ea5306ebc] (score: 0.03)
+ [73cf7bdf-21cc-4139-b5f8-df04212da83d] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1099,139 +960,16 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_x21van0h
- - content: |-
-
- We have a chunk. The snippet says:
-
- "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement".
-
- Also earlier the user question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" The chunk specifically answers: an interactive app for real-time feedback.
-
- But we should cite the chunk ID [a99375df-fceb-4d0d-bae4-c79ea5306ebc]. Also perhaps there may be other chunks about this. Let's search again with "interactive app Bintang gathering feedback" to see if any other chunks.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"interactive app Bintang gathering real-time feedback Jakarta election"}'
- name: search_documents
- id: call_e51ubvbl
- type: function
- - content: |-
- [a99375df-fceb-4d0d-bae4-c79ea5306ebc] (score: 0.03)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
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- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
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- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
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- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
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- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
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- Campaign Financing: Transparency and Accountability
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- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
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- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
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- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
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- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_e51ubvbl
- - content: |-
-
- Now we have 1 relevant chunk. We need to produce a concise answer referencing the chunk.
-
- The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We answer: "Bintang introduced an interactive app for real‑time feedback from citizens about daily commute challenges." Provide chunk id.
-
- We must format answer accordingly.
-
- We must not add extraneous text beyond what is asked.
-
- We must provide the answer, citing chunk id, confidence.
-
- We'll deliver final result as per final_result structure? Wait: The instruction: "Provide a concise answer based strictly on the retrieved content". In the conversation, the assistant can provide a simple response but must include cited_chunks.
-
- We might not need to use final_result function. The instruction says: "Return answer in normal format, but include chunk IDs used in cited_chunks." The earlier guidelines mention "In your response, include the chunk IDs you used in cited_chunks." We can format as plain text but maybe include bracket list. We can say:
-
- Answer: "Bintang introduced an interactive app for gathering real‑time feedback from citizens about daily commute challenges during Jakarta’s election." Then "Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]"
-
- Confidence maybe 0.98.
-
- But maybe we need to use functions? The system says: "Return the answer in a normal way. Provide the chunk IDs used in referenced format." The earlier "In your response, include the chunk IDs you used in cited_chunks." So we should provide a concise answer and then list the chunk IDs.
-
- But maybe we need to use the "final_result" function? Actually the prompt says: "Provide a concise answer based strictly on the retrieved content." It does not mention use of function. But earlier system says "When responding, use final_result function." Wait, let's search guidelines: In the initial instructions: "You are a knowledgeable assistant that answers questions using a document knowledge base. Process: [list]." They had "search_documents" function and "final_result" function, but the final step says to "Provide a concise answer" but nothing about "final_result." Actually the tool description shows `final_result`. However the actual instruction from the system: "Use the tools as needed." The "final_result" is presumably for structuring.
-
- But the earlier user responses in previous tasks often used just plain text and citing chunk IDs. But some tasks required using "final_result". The system instructs to produce answer. The typical pattern in these tasks: we produce raw answer lines plus chunk IDs in brackets. Let's review from earlier Q/A. For instance, in the conversation before, I saw typical answers: "Answer: ... [cited_chunk]" The instruction: "In your response, include the chunk IDs you used in cited_chunks." So we must list the chunk IDs as a separate list. Let's examine example format:
-
- Maybe like:
-
- Answer: "Bintang introduced an interactive app..."
-
- Cited_chunks: ["a99375df-fceb-4d0d-bae4-c79ea5306ebc"]
-
- Confidence: 0.97
-
- But the guidelines didn't mention "confidence" field. The final_result function includes fields: answer, cited_chunks, confidence, query. But is it required? In many ChatGPT answers for these tasks, I've seen that we produce a JSON object with those fields. But the guidelines say: "In your response, include the chunk IDs you used in cited_chunks." No mention of JSON or confidence.
-
- But the tool 'final_result' is defined. It returns results with answer string, chunk IDs, etc. That would likely be expected to be produced as the output of the "assistant" role.
-
- But the typical pattern may be that we call function 'final_result' and return JSON with answer etc. Let's review previous tasks (maybe from prior interactions)...
-
- We cannot see them here. But we can approximate: Usually the user gets a response that includes the answer and cited_chunks list. But how exactly should we format? In the "Response format" guidelines, we might see "You should always return json with specific keys" or "If you need to call final_result, call it like this". Let's re-read the instructions: "In your response, include the chunk IDs you used in cited_chunks." It doesn't say we must use JSON, but we should list the chunk IDs. In our answer we can do:
-
- Answer: Bintang introduced an interactive app for gathering real-time feedback about daily commute challenges.
-
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
-
- Confidence: 0.97
-
- But maybe they want a bullet list. But I think a concise answer plus a "Cited_chunks:" line is safe.
-
- Hence I will respond:
-
- Answer: Bintang introduced an interactive app that allowed citizens to provide real‑time feedback on everyday commute challenges during the Jakarta election.
-
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
-
- Confidence: 0.99
-
- But the conversation says "Use the tools as needed." The only tool needed was search_documents; we used it. So we do not need to call final_result. But we can output just text.
-
- Let's answer.
-
-
-
-
- Bintang introduced an **interactive app that let citizens give real‑time feedback on daily commute challenges** during the Jakarta election.
-
- Cited_chunks: [a99375df-fceb-4d0d-bae4-c79ea5306ebc]
+ tool_call_id: call_uw8bfctv
+ - content: "\nWe have a chunk id 73cf7bdf-21cc-4139-b5f8-df04212da83d. This chunk references Bintang's interactive
+ app for gathering real-time feedback from citizens about daily commute challenges as an innovative form of civic
+ engagement.\n\nThe question: \"What innovative form of civic engagement did Bintang introduce for gathering feedback
+ from citizens during Jakarta's election?\" So the answer: She introduced an interactive app for gathering real-time
+ feedback from citizens about daily commute challenges. The chunk provides the answer. Let's note the chunk id is
+ 73cf7bdf-21cc-4139-b5f8-df04212da83d.\n\nThus answer: An interactive app for real-time feedback on daily commute.
+ Let's craft a concise answer with citation.\n\n\nBintang launched an **interactive app** that lets citizens
+ give real‑time feedback on their daily commute challenges during the Jakarta election. \n\n- **Chunk used:** 73cf7bdf‑21cc‑4139‑b5f8‑df04212da83d
+ \ \n- **Confidence:** 0.97"
role: assistant
- content: |-
Validation feedback:
@@ -1296,10 +1034,10 @@ interactions:
uri: http://localhost:11434/v1/chat/completions
response:
headers:
+ content-length:
+ - '1781'
content-type:
- application/json
- transfer-encoding:
- - chunked
parsed_body:
choices:
- finish_reason: tool_calls
@@ -1307,67 +1045,186 @@ interactions:
message:
content: ''
reasoning: |-
- The user now says: "Validation feedback: Please include your response in a tool call." So we need to call "final_result" function with fields. Provide the answer, cited_chunks list, confidence (maybe 0.99 or 0.98), and the query string.
+ The user says "Validation feedback: Please include your response in a tool call."
- So the proper format is:
+ So as per instructions, we need to provide the answer via a tool call. There is a tool called 'final_result' that we need to call. The final_result requires arguments: answer, cited_chunks, confidence, query.
- ```json
- {
- "answer": "...",
- "cited_chunks": [...],
- "confidence": 0.99,
- "query": "original query"
- }
- ```
+ So we need to output a JSON via the functions.final_result.
- We must then output that JSON as the function call? Actually the system instruction says "Please include your response in a tool call." That means we should call function 'final_result' with the parameters. So we need to use the function. The system instructs to use the function. Therefore we call functions.final_result.
+ Hence we need to produce a tool call. We can't just give text. The "functions.final_result" tool is defined and we need to call it. So let's call that tool.
- The tool signature:
+ The required fields:
- ```
- type final_result = (_: {
- // The answer to the question
- answer: string,
- // IDs of chunks used to form the answer
- cited_chunks: any[],
- // Confidence score for this answer (0-1)
- confidence: number,
- // The question that was answered
- query: string,
- }) => any;
- ```
+ - answer: string
+ - cited_chunks: [chunk_id(s)]
+ - confidence: number between 0 and 1
+ - query: string
- So we need to produce a function call.
+ We need to include the answer, citing chunk 73cf7bdf-21cc-4139-b5f8-df04212da83d.
- We should include the answer string: "Bintang introduced an interactive app that let citizens give real-time feedback on daily commute challenges during the Jakarta election."
+ Confidence: high, say 0.99.
- Cited_chunks: array with the chunk ID "a99375df-fceb-4d0d-bae4-c79ea5306ebc".
+ Query: The question "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?"
- Confidence: 0.99 or maybe 0.97. We'll use 0.99.
-
- Query: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?"
-
- So we return JSON that calls functions.final_result. Let's produce.
+ Return the tool call. No additional commentary.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"Bintang introduced an interactive app that let citizens give real‑time feedback on daily
- commute challenges during the Jakarta election.","cited_chunks":["a99375df-fceb-4d0d-bae4-c79ea5306ebc"],"confidence":0.99,"query":"What
+ arguments: '{"answer":"Bintang launched an interactive app that allows citizens to give real‑time feedback on
+ their daily commute challenges during the Jakarta election.","cited_chunks":["73cf7bdf-21cc-4139-b5f8-df04212da83d"],"confidence":0.99,"query":"What
innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta''s
election?"}'
name: final_result
- id: call_mzxyuxbx
+ id: call_2uzvnhea
index: 0
type: function
- created: 1766755528
- id: chatcmpl-224
+ created: 1766863148
+ id: chatcmpl-238
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 472
- prompt_tokens: 3779
- total_tokens: 4251
+ completion_tokens: 327
+ prompt_tokens: 1887
+ total_tokens: 2214
+ status:
+ code: 200
+ message: OK
+- request:
+ body: !!binary |
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+ 0OH3+luWIxHALf70+q34oac2gs1zm9vt89vdrbbqHuW3L45D/gep6MDi0mYAAA==
+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-encoding:
+ - gzip
+ content-length:
+ - '5917'
+ content-type:
+ - application/x-protobuf
+ method: POST
+ uri: https://logfire-eu.pydantic.dev/v1/traces
+ response:
+ body:
+ string: ''
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '0'
+ nel:
+ - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}'
+ report-to:
+ - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=34c92eY02KlqEnB6slpRaSa3OHEEm2fCNUUYCN7Rfo9fYjV8sZJmpgjT4VuX237plAIwIhzSFZOCbyU2tL2P5Gr49xt3C%2FoiWZGCZjnbJZCDvV%2Bq"}]}'
+ vary:
+ - origin, access-control-request-method, access-control-request-headers
status:
code: 200
message: OK
@@ -1380,7 +1237,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '1818'
+ - '1828'
content-type:
- application/json
host:
@@ -1414,7 +1271,7 @@ interactions:
- content: |-
QUESTION: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?
- GENERATED ANSWER: Bintang introduced an interactive app that let citizens give real‑time feedback on daily commute challenges during the Jakarta election.
+ GENERATED ANSWER: Bintang launched an interactive app that allows citizens to give real‑time feedback on their daily commute challenges during the Jakarta election.
EXPECTED ANSWER: Bintang introduced an interactive app for real-time feedback on daily commute challenges.
role: user
@@ -1440,7 +1297,7 @@ interactions:
response:
headers:
content-length:
- - '565'
+ - '923'
content-type:
- application/json
parsed_body:
@@ -1449,25 +1306,28 @@ interactions:
index: 0
message:
content: ''
- reasoning: 'We compare: both mention interactive app for real-time feedback. Both say daily commute challenges.
- Both match. Equivalent.'
+ reasoning: 'We compare: Generated: "Bintang launched an interactive app that allows citizens to give real‑time feedback
+ on their daily commute challenges during the Jakarta election." Expected: "Bintang introduced an interactive app
+ for real-time feedback on daily commute challenges." They match core: interactive app for real-time feedback on
+ daily commute challenges. Both mention election? Generated mentions during the Jakarta election, but expected
+ doesn''t. It''s same. Equivalent.'
role: assistant
tool_calls:
- function:
arguments: '{"equivalent":true}'
name: final_result
- id: call_r5tp0vtx
+ id: call_qsyyucid
index: 0
type: function
- created: 1766755532
- id: chatcmpl-677
+ created: 1766863152
+ id: chatcmpl-662
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 48
- prompt_tokens: 386
- total_tokens: 434
+ completion_tokens: 109
+ prompt_tokens: 388
+ total_tokens: 497
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_qa/test_qa_openai.yaml b/tests/cassettes/test_qa/test_qa_openai.yaml
index 11d27912..bc73b51e 100644
--- a/tests/cassettes/test_qa/test_qa_openai.yaml
+++ b/tests/cassettes/test_qa/test_qa_openai.yaml
@@ -1,144 +1,4 @@
interactions:
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '274'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- location:
- - /api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json?%2FQwen%2FQwen3-Embedding-0.6B%2Fresolve%2Fmain%2Ftokenizer_config.json=&etag=%227345216a0785dc7086e8c245b2a9d3896ce2b756%22
- ratelimit:
- - '"resolvers";r=4998;t=225'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin, Accept
- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- age:
- - '3632896'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '9706'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - '"7345216a0785dc7086e8c245b2a9d3896ce2b756"'
- ratelimit:
- - '"resolvers";r=4998;t=122'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
- - application/json; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - W/"40-09f9IAqP13xarAhQxFS2W8rvRkM"
- ratelimit:
- - '"api";r=998;t=225'
- ratelimit-policy:
- - '"fixed window";"api";q=1000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -345,7 +205,7 @@ interactions:
openai-organization:
- enfold-systems
openai-processing-ms:
- - '638'
+ - '2407'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
@@ -366,12 +226,12 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"query":"Bintang innovative civic engagement feedback Jakarta election"}'
+ arguments: '{"query":"Bintang innovative civic engagement Jakarta election feedback"}'
name: search_documents
- id: call_5HQrpWZc44DD5B2jRoGco8Vu
+ id: call_F7yfYm4HcUw09BxRamS6lfsv
type: function
- created: 1766755806
- id: chatcmpl-Cr2BKaMlxBXrIdPm9UrgRO76cjkcn
+ created: 1767000342
+ id: chatcmpl-Cs3nShhB45rtsYwfTLbs4yuHJ7NT3
model: gpt-4o-mini-2024-07-18
object: chat.completion
service_tier: default
@@ -409,7 +269,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - Bintang innovative civic engagement feedback Jakarta election
+ - Bintang innovative civic engagement Jakarta election feedback
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -420,7 +280,7 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
@@ -444,8 +304,8 @@ interactions:
content-type:
- application/json
cookie:
- - __cf_bm=8F.hTslk20bdOz8GNMZAowjKjZ6P6am6sSzIAl3Cjrw-1766755807-1.0.1.1-YViVJ0BfuExG0a7GqlftCU4_CK.39QmVSYbPIER19WniKKyV3FPrDgHK52btgSoeFgpiyzQpSMFYNHINJimFX3DY71ReRZuKNf0cClymku8;
- _cfuvid=6o0MM_JZOXAWFVBecYeF949xJkp1jQ4sZJtBXk2lA8E-1766755807670-0.0.1.1-604800000
+ - __cf_bm=4qkChZY9fnREFpM1cj2jii6xqT5_JpJ63VF975L0TtI-1767000344-1.0.1.1-dO2iJ64.c6X2ZG3t.qfcYm1NpkqZ3S9Nmjwcb8moTJYnsr_mFJjrjT0hZj_pnOI.AN4lO0x0c0kjFpPrZMYk0PMHkCqcpx7USMvHNprqOvw;
+ _cfuvid=Z5i3k.2haEf6aQ8hGNMhFRcgdh0eTOelKLktjrA03s0-1767000344957-0.0.1.1-604800000
host:
- api.openai.com
method: POST
@@ -497,12 +357,12 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"query":"Bintang innovative civic engagement feedback Jakarta election"}'
+ arguments: '{"query":"Bintang innovative civic engagement Jakarta election feedback"}'
name: search_documents
- id: call_5HQrpWZc44DD5B2jRoGco8Vu
+ id: call_F7yfYm4HcUw09BxRamS6lfsv
type: function
- content: |-
- [018d25f3-5adb-4a25-995e-43d719711a37] (score: 0.03)
+ [7d3fd5b2-bae4-417e-b566-b437ad82a2de] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -547,7 +407,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_5HQrpWZc44DD5B2jRoGco8Vu
+ tool_call_id: call_F7yfYm4HcUw09BxRamS6lfsv
model: gpt-4o-mini
stream: false
tool_choice: required
@@ -611,13 +471,13 @@ interactions:
connection:
- keep-alive
content-length:
- - '1516'
+ - '1487'
content-type:
- application/json
openai-organization:
- enfold-systems
openai-processing-ms:
- - '2237'
+ - '1946'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
@@ -640,19 +500,19 @@ interactions:
- function:
arguments: '{"query":"What innovative form of civic engagement did Bintang introduce for gathering feedback
from citizens during Jakarta''s election?","answer":"Bintang introduced an interactive app for gathering real-time
- feedback from citizens about their daily commute challenges, which was praised as an innovative form of civic
- engagement during Jakarta''s election.","cited_chunks":["018d25f3-5adb-4a25-995e-43d719711a37"],"confidence":1.0}'
+ feedback from citizens about daily commute challenges, which was recognized as an innovative form of civic
+ engagement.","cited_chunks":["7d3fd5b2-bae4-417e-b566-b437ad82a2de"],"confidence":0.85}'
name: final_result
- id: call_H8DxhnoQgjAoaQMKW0NhVymD
+ id: call_TxuLXwjWt7leyaSlbWmYdajQ
type: function
- created: 1766755809
- id: chatcmpl-Cr2BNRGwI6MT0dqRkq6OvcZ1nhd50
+ created: 1767000345
+ id: chatcmpl-Cs3nVBC2p1sxouDjeSyvBDl1OklLb
model: gpt-4o-mini-2024-07-18
object: chat.completion
service_tier: default
system_fingerprint: fp_29330a9688
usage:
- completion_tokens: 103
+ completion_tokens: 98
completion_tokens_details:
accepted_prediction_tokens: 0
audio_tokens: 0
@@ -662,7 +522,7 @@ interactions:
prompt_tokens_details:
audio_tokens: 0
cached_tokens: 0
- total_tokens: 1495
+ total_tokens: 1490
status:
code: 200
message: OK
@@ -675,7 +535,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '1889'
+ - '1860'
content-type:
- application/json
host:
@@ -709,7 +569,7 @@ interactions:
- content: |-
QUESTION: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?
- GENERATED ANSWER: Bintang introduced an interactive app for gathering real-time feedback from citizens about their daily commute challenges, which was praised as an innovative form of civic engagement during Jakarta's election.
+ GENERATED ANSWER: Bintang introduced an interactive app for gathering real-time feedback from citizens about daily commute challenges, which was recognized as an innovative form of civic engagement.
EXPECTED ANSWER: Bintang introduced an interactive app for real-time feedback on daily commute challenges.
role: user
@@ -735,7 +595,7 @@ interactions:
response:
headers:
content-length:
- - '702'
+ - '519'
content-type:
- application/json
parsed_body:
@@ -744,26 +604,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to determine equivalence. They match. Both say interactive app for real-time feedback on daily commute
- challenges. The generated mentions "praised as innovative form of civic engagement during Jakarta's election."
- That doesn't contradict. So equivalent.
+ reasoning: Both mention interactive app real-time feedback about daily commute. Matches.
role: assistant
tool_calls:
- function:
arguments: '{"equivalent":true}'
name: final_result
- id: call_egp8tgik
+ id: call_rsw6jvjs
index: 0
type: function
- created: 1766755813
- id: chatcmpl-560
+ created: 1767000350
+ id: chatcmpl-221
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 71
- prompt_tokens: 397
- total_tokens: 468
+ completion_tokens: 38
+ prompt_tokens: 392
+ total_tokens: 430
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_rebuild/test_rebuild_embed_only.yaml b/tests/cassettes/test_rebuild/test_rebuild_embed_only.yaml
new file mode 100644
index 00000000..2fb38b58
--- /dev/null
+++ b/tests/cassettes/test_rebuild/test_rebuild_embed_only.yaml
@@ -0,0 +1,158 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4851'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: ceLHuSxXhrsozj+9uGinPEm1wrqjdhw8Z9mfPTXlvjude1Q67jq5vKKnbj2tVZu8PXOpO91ygzwgxIO8P1nSu4/5Fr3ID+k7sJoKPMeHi7sdU7s6CpnsPBNzrD1yQCg8qj3CPBaMebxuCcy8ncPKvQwydbyU1c28zk7nvLnGfb0dLQi9MgeLPPPwj7qW+Qc9FakDPXL70rpJWXE5CSE1PMqHQ7yLygw9Qu4PPDtEFrxB38w8a/aJPFYmCTwBs4u7GCPbvL906by+13M8wkMePF/bUb2Xd5m8jX6JuxYzPj36l/87qvbju9ytyDyee0S8pvpOPPvqiTxobvI6LiXcvKOMCbzqwY+7Gc/rvNLiDjw5pES68PWUPIIZmryxEV28syeVPJRoXrtLC748jqiJvPrTuruVcF47Ixj7PCHAwDzLXe67Sbs1PdQxODrfVHK8Xng2vJrLbrxFWeU8bHV5vMJczbwp41W6naaAPA2D/TwYbQ48CYw1PdEHSLuESGc8cYMUPJxHBb0cqsS8ft1YPOh1OzziZPG8+yaMPLM0mbtdrOU71Ky6vBtiSLt5Tl48bOmmO8176zwINKu6KMLhO4xcD7zKyOU7Mt4MvNBNwTvnGDm8c+sPPIer1rtiDgq9jkYRPFkLkzsOAgM8GFfEus+Ioby9nHo8VzCQuwvmzzsRLD495olruxznAjz4o2+8V/VBvLN6DLyR0MM87C6EPAxP0LoSKla8VLotPBM3wDxpQxc70wVKvGLeSzxIXxq8+OPovFaxNrwu5rO8PmmsOiYbEjwFoLm5SemEO+UB5rq8++Y7EZPCOznZt7pgoI48ODyvvHrjSDuhjjY72KdxOzpE4TzM+FY8o3NjvKKwxDzQsT68nDWSu4maPDryPaa8ob8au0ohZTz6LCc8TztmO1JUA7wxHWy8fvt4OrW3xDrl81G74iqZuuy03rzLVny9m8KOu3SXP70o1G48QCExvL8xnjshuwW8IjE+vPIfxDsFcqU89O4LPOJzZbxn/ui7A9IRPDt8+DyeYf45q4TnO9lsi7scOoc839DYOx0wEzkXBKg8zk/xu+YENr01bD28R8zQvMaIBrl8z348WHkBvKiOCTzUoSK9okFFvGY/OjwqC268wfeOu9fPeDvBMSk9120zvDT/ULtbL008BUULPU/lrzr8GW25mQ28vBKZSDzbgAm9KB1aPG2rYjwCTbY8tRdVOtFAgrz1uiY9zVHKOl0YNzy5VD+8jRrqPM30o7q+lbw6RwqGuoLezDwkGAi9gzBnvf+Ee7wfzQc8xom/PHEegDttray8JUOwPB8WwTsf/xg8CWWsvBpcKrtolyY8vvPPPFujKzpOIQK9IXdbu5Sz2rx7voW8sa0ZvFi8PjxIio88ukEaPdMot7tY1Q28jDxkO4Cc5LzQ6CI9tCHMOz4N0TsaUju6vRkBu9hhdjxEFeW5ENgkPBCGPb3oAYe8csI9u+lh3zu37Z08qCwavIWaAbvxPxS8tRepu6yROjwCh9u70ooNPZeOujv4P6u7djUEOv+LFDxFCpI86Snlu0goDrxHZiQ7hukePXULirsB7Cw8prVNOzTGC7xP2re81L0VvK5vTLx544E6DrrLvEgSqDxNqFU9UJZsvOdMYrv/Wt2810EdvcU2tbycyIw83lpTPIZVSLms2gA9dYdRvKkONTw1h9c886OqOy/VsLxtoIO86I8zvQm/PDzT2z68opN0uuBOdzwfO5I8/u8lPF78NbtbziY9WSzSPBENv7vXqby8bEX/u0V2gzrJvcO7T8NbvJrmZD0BSYK7tNrpvGA2JDnxrgm8/WInPXn4TrwddXk8zi2CPKf2pLxL9BI8v2WCvfg8AD2+3oy71V0cPFYyN70FHT2859p9u0l/UTy3iEU6BhOLO/s8YjxE0++8iA4bO17WRjpFj4c8REFNPMPrhjxl+Ra6n51yvMIBPjzsgAK9faNGu7IyEjzs/Ku7xAIjPdjzNrtFwaG7WoelO+wl4TwXZw+8Sf+1O+n8rDy6Huw8wSw1PQGCcrrMxPI8xKUAuxURyTwfUai8WRbmvOpQGLzdyJO80wSIOjgMcb1qnWc8uG+XPGVF8rv3Jqk8WhxvPObtKDz7bbG8X88ovb77Q71ct7m8TJ4evcbV8zkFC+Q8tqTyu9UBlbuFyoA8ZdUPPDZkpTz1TdK7gTupuejFojxVloM8bnQjPGuFcrtNcuq6sUGpPC/Q67zVLHW7FySmu7dj3rvd3hO9g+rYO6XZnDwTzCU8tgFAvd7MFTymzKW6iBHcvGjpM7xuJFm8iOBmvSMKljzHC/y5c64jPSd6MTu6Iei7uPmYvAN2I71eei+7FTVCO+asvrwfgK47DL8DvdP+3TvR+gC95HWovFP7xDyruUQ9g8q1vN5CBLsIbee7Mnvzu2QnlDxgyww8R+MtPGFrQzzVhIq7SsFPvFocbzxw11g781E6vVLlkTyMFEO8NT/xvB/VpTsPeWm7P5ZIvKQjqbp+9UG7YP8pPOxwpjxRSBS96C9EOhUgfbyY8g88Hq8NvFzUMj2Gh6w70wRFvPIlvLx+bg+9EX3iuwcZVzy4x8Y5WJEbO8fbdLzq6aM8A/pKPC27gDyixIc8g5y/PKcFnryRMBC81dSkvD953Drgv1M8cw3BO056kzxxWxi9eyO9PLxc/brdol+8EhuUuzok+zuWh1U9Mt3TvIqCIb2vn6a4KYh9PG1ojDvrsRM9iPv5u+kjNLvcMgi9/gQqvBCSk7yNaqo7hgydvIO+Bb2a4B669PGuuwFpHb3lOSG9GfyXPHMJWjwUTFy8HNEMvNBBFjzipuu7jIXzOzlWAz1jtIy8w6B/OwLOFbzRplG9eoAvPVwmiztQwz+6r/E9vGhEBTvGevi6J8v3PILjQD21nt88kWpXvMrCITythR+8D+QHPXVP0jv+mnk8aggLvG1GHDtZAos6lHtaPMN73DtFhbw7yx/lO8p9OrwSUMo7899aPO8/4zzwecg8j/FyvCD9qjsEhy08j7/iPAQSVTzOexG8UrkxvMs2XT3+x9k7ABphPDAibLs1q+C8gD8lvPcl7Tt/19i8KtjnOwQkITsVbLQ8049wvGYGYL1k38K7qFdCvYaY2zyP6YQ8pk4LPX5pLrvS15G8AxfxOyn9xroBlcQ8bVvyPBbh0LxKwAE9lLS+PM89Y7zs97c8bQAEPAVQIjyuCm68nZqKO/HQIju9SkG6x0dGOmz0XTxlPHC8zG2yO4QSmDwtxs68mN+tPONulLvR9Rk8DdeevOUgIzv3Tta7iGsbvRSfSjtIQVw4lM1IvEWCFr2SFha9rkqzvMj3DLu2R8W7KT3RvNyhlbye6UG7K0QTvPA7Yz0iVae8mt8lvLue37yg85y8eR+jPIM0EjzgsIG6PTzKvNi8N7wydAE8JI1CPe9xdrx3QLs6AkW2vAXss7zvwj49R2E9Omu91jwm4WA7zYP9OxFcNDxOgpE7eNV7u9gAHj32uIA8rpO8vKdZ/Tw5PUs8auoAPT9umLyBc4K8ptoLPHIrab0dRTi8LvWJvOqhU7yc9Sk9O0uEPElUpLxfuku8RJ0ovNRYWTz8dSo9vTz+vLrk9TyTsvK7ld28uu93Cb0ot4q8rRB8uuW9TjwUN/E6iSNvPHR/Ar1kXbS70BOjvNCKK7uUV4s89OpRvEYFrrwEJA29Udr9u/8VyDzRc9A8SbBpvPRezruP+Bm9ob3su7mAqLvB/eM8dfxnPBUXJT1Bmg29D/cCvKuduzxdzx88M8abu4Y/nzyvur08rVfCvLbThbyueyA8JmaFvCuI7TwTUaa8t7xYPFgunzuVfGc8fI8NunYMwzxq0jE85vubO+j5zDrhwQO8eBG1PEXYIryp6au8KfOePGaomLqh/O48OsRXveHjizwpHfq8sxfdOwUp/bz0B7O8hQ2CvdmkrTwSSSy8FoYyOkYXCzyp5DG6R5VEPM0i/TwINcQ8nmo7O3+MHzxGs5G8AGkDuzm/nDwFPUY9v3H7u8nxczu+g3c8QioVPCmIHTz0M0C87aBLPPamXroxpvu5yPt5vFUAG73P22w7MhhKPCUZKrzDWM486/o4vTfPJj3P30e8lTxXvDXoXDyM6zy8pVYTPf2eqbvUxk288+/nvJpWBD05FDg8oG3fvAF49Tyi+FA7RoQwvUJhwLq7dB69LIaIvMDsE7x1mxU9cuemPCk/FjzJFzK8SFUdvBSQDzt/cI68zMoBO7sXkDyWhta8cyybPOWCi72nAUY9va1pvE2oH7xpe9E6NcK2Olwm27zZ/qo8t7xpPHkJi7xoqpc8vzCDvLVoDb0y6we9xpMhOnXFIr35yBg8DUL1vLLdrTwIvbw8/U8TvDXe9bs9qoc4wM6DvAdK7TkARQU89O8QvDzy1jyE/Za8AqYjvJxrxjsNDr67NRcVPQ5MJTw2FNE8ppmOvIZhEDzI0668swc7vRzLe7y/T4G7/R3APEu9grza5Wa6eUsevUIJsTxFZwo8djpZvNPoDj0Esyw8YBrcu/HdTryCXhs9CpXBvNK6djycHBu8IdtYOkT+GT2YEy+8miMoPQfmWLwR9MG7rp6FvGEKSry9RRA8CHCqPH38gjeXbW+8hnaPvG12NLzngRS9wCEGPM9D3jwS93M7kwuUO4/nCruOkhk973fPu/DXTDwKP168CGLEPJ/HHz2xSi68uXtIPe3z2TyTG/G7cDBgPHSnATyfFAy7rq8ePLxUqbySiXM8c4Chu8W4PTzAbIM8bE/yPL/pF7x79sK8cW4ivBuD+jy6t4a952avPHP6Fz2jN568ZXNqvIDQDbw2eo67i0MfPDaKF7yaadM7oXyfvDOpt7xZ61c74u5SvLL8pjzW2CO9m3QPvUlGZDuHQ4U8p6tJPIJtqbpj9m67EqtmvBbCmbzJFe87AHeNPCe3VbyiF568cZtrvLCNtLy/oJc80+cCPPwQ/7usjew7PsYuvaiXA700sye63bgkPSdbrLy1TTs7+fP+vPThxLu5Z6a8aa1SPCQ4dDw0b0g8rLpxOwRzj7x57tS7SrfbORFZrDzBWx+8wtTPPCLlLLtRz5c7PzEUvXjwETlsfZK69hiFPNZgIT1PetM82cwAveTC0jyPono8W02GuxOOw7v6Dum8xUn4OpDLzDyl0MM8IUBNurh0XbxQ8YI6AOEXPEiVBLw+HfS7MGUmvFFvOTsc+Lg8WQwAPSsxmzx5yMe7FWx/PMZ/77uh6w87udPovAKN2LwuQEi8ToekOiW2JTvKGJy8tPvVvIQ/O7unELe7FLjnPMcm4jyzcf880JibvG0Gjbtb9Z884Km0OhddnbzYOAM8uw2Pu9asebxh2pe8I2btOwBE7buxs6m8CGNIPUquuDycJhg80e+Euh17iDueW6q7ycX5u6IK5bv3Cq088nRVvAVYQLtTfs28f4SRuk+pebzoGOG89GRavCvyzbq0zsC8PZCrPHGDLjwWqCc9Iu4fu4NZg7yqjgq6xfc3veH9Rbx0xoY737KNvCTK3LymvEk8i5VDvXBPs7z1i1E71WRZOxDtFj2in/u8piy3u0wZdrz71iw78cuFvBDw8rybYYY7FOXSvFgtary8/Hw8boEOPZ4xpjwPNiS9K0p0vPOUfrwIMhc8Ch+DvHlM7rrAzki8YfcGPYNQk7z1/la9upmxO/plDbzHDdm8IbVPvNQ0VL2DG4q8Aaq6vIVzsTwAHxG8mLUHPPvzZjzCINU7JQFbvCs3ZryV3B29rNeWvOq16bpNOz68EJVOPHS50DwR0fO8ovMMO0/wKbyV3GA8sZn+O9yoQDziyIY5WciJvF/ZoTs6vf48xrjCvErfJb2t7No7TNc8O3pLiTyEMIq8lUrKvDVAL72Uqfe5JB+8u41iiLzrj6C7HWT7PBTupTpQP+s6hwOJO//MD73FQkC8slfBuzS7+bz8Hia8YrWGvPPbGzxDvwC87RrOvGplrrrdYAU7OWHlvPxql7zNof48MPozPYSVobxpnhc9fyGMO6kHjTwXd248lfIRPF0dljsBMDS8xG8yvHUNaj05zlI8vnMKPVK10rxAQCC7JYY3PKfl6TyQnQS8NR7NvMCZVLzdOME7WrSlOzNHRLxLXJg8kyZdPMmRk7y2hwQ8rabdulWxUrsyTHM8NN7pPIFeKTxKce48gfKtPDihNr2eMAI8CBngO9iYyzwU8iA9J9EDvTP+uruCHwe65sr0PDYHhjz8dYi7vrjDvEEVijnL+bk8P2EEOzeR+zshvJO7z1givL91nbxWVuu8pPouPXqFTjy6P5O8KLu2vHk/5zvovOi7RW4tO31nbzvcv786i/aVu/0aQ704eg89zX2QPPWpsrtJomU8d6GsO2xDZbwBAKa7ABuvPF0Qm7wGTtm8ZznvPE2U3LyuB408UlANPAk1PLwbv2m85ONrvNw00juljNG8FJ9XPTdrDj1Fh/k78LYHPIe7Fj3rnAq6TQtcvPTGkjxTbHq8LgA7vJxoNDyQvQo8ysnnPGc3u7zjn8a6v2k/vEU6pLyEM0k7BZr1PIU1Srxvzbq8XDuGOUmJtLzLEQy9wAOHPLkug7zm86c8hdOoPBS7J70LQgm83+E5vAKFND1BNAc9vTBJvOr/BjtZgvI6oktMO5SDubvmuJg89nQXPOYmML0B2hM8tlvhu09WdbwVspS8zZFKvDk+gLyoqag866wavSqdWjtv4Yk8KxqAPNZ6tbwTp8K6CJPiO4UbC70fzWI80ic8PfznhrsEAUQ8OCPPvG82hrz/b7m7wm6FOiH/mDxAr6M8rH6kPGnnMT1i3wq9lPG0PH9owTo0HHQ8keYOvGJAeDz1L7U69k6vPGrAxzra6eW8PGidvPgEDL3NB4o7l24CPGs4jjqAJCq8SzyluzIR/DsYXro7oIiLPCNmfTt+YBg9gFCwO4s2GjxR0ns78E1jvCgx0rs41VC86Xtdutq1Nj2f/Do82ooCPPmbobzEmnU6bRemPCEkODwGChQ63rwpPNyLATyXQAA8eBpfu2z1QbyCJ5U87oMCu5QcgTxN6ha8OgezvKqMQrxTRsm8BoJ3vJJ7W7wTNpk843t4vNjWTDyHjXo8l8/2vNk0Yrt3JYI7B3LHOFVCEztZTOI8r51dPMBYQrqR0Q47gz+rvJOmIjw5QXC8KDfVPBWLDj1E/hs8o7vmvOq6Hzy3Lk48L8BZujNNnbzkvXQ8foaHPEz/zbuFV7I8290JvGpptjzWQAM6FpKhPOnpbLx+4JS882a2PJ24SruLGAo8f8Qvu54lLD3o3s882ojDuuChUzx2GgA8v7xAPbS35Tx2c+47txhpPTUm/TzkpIC8PPHJPB8kSTyC4To6mRw4vIQjgzsc1ck8YKrcO6fc/TwaURQ86j+gvPBl+7ii35s7bliWPF/DEzp48xS8KkCwPLax17tJl0C85kSQPLAyrLxImFk76ro9vGIkRjyrVWE8yM5bu7ZHN7xQYY48bua/uz9SkTzjCbe75GtJuz5gczzv0do8b8wmverAsTsKUlu7QpcMvCQ/zjz036e880eMPDjCa7w1cyA8y8jkvAfp0rrqN6w8ZximPMrdGrzfTcc7n22BPK8ufjzHLSS8mMg0PBGIU7xzJ9K8YUB/vJm+1LtfSxG9htPiuYuhgzyEejA8Q0vTPCHsyDzbKZ+8nrXNu2/Ylrz7Z1w83V/mu8e7Lrw8azW8g79aPGzFAL1Ogwi8K8Anve4S5DuVspo7hF2BulDpIr0SAQe97zzzPIy4BD0d5JG8tYVqPClkyLwBSLg8tSW+uVGTurzkXai7850YPWE7vjzX6jC9ZjFOvSwdQ7xY3g+9Wd1YvGlWyrygsjM9VmKBPP+EAb0+cTK8COB/PPDDoLyzRtW8xZjUvIdZQjzSJsS7r57ou9hBFbz+urG895SvPO3wd7ukQ3I8u4PouwMApDzLs1W7i9CQvBJBRLwO4Bw8ePeLvJfzr7u46Da8PQmNO66aF7v6w0487VTYPDcDzbzF3Tk8X3iXPGT5uzxTorO89nqTPDSQGjztgf87/7eevBB6ZDz8grY7zw/yO3vasjwdSvm5CFFoOjKuN7uCsQk84A+du34pwzwlQBG8gLPYvFZd3TtKyhE8YsJQOgqBsLxWak48aY8eO9IV+DvI1rY7ptllOlycwLyrIn+8QS4NPcK0sbxTl8k8ThrYPK/C2TxBjH48cjedu4ZcW70HvS08u82BvL15gjsdEDs7G6divIXmJjuo7oc8eYXSuKOV7rzrw1y8kQM8vKTHlzxTVcO7AElKvUV6xLvGWEy7NOn5O5XoEj3ftjm7h7vOuyzZqjwTEv+83szluZgsET2H3lG8yd0mPHg8wzwYI4s75ZAnO5jDmbwKpYq86PkYvGoqLjw6Zq271TYLPaCnNzu8rve88frHPJPqPzq1wAI9+zffPLX7krzShkA755ieuw3CTrtPZu87KNsMu5nYOTwWwWu7yRSrO5RHjrws8hC8FY7QOvySgLwU8l265xfCO+LgFDzV/1m7ZSLYO2UXLLwazUI4maU5vNQHO7xtK1+80IEnO4gqUTvzJz28zFaVuSHidjzkH7O8sUspvJHS87wmVp+8yDbKvFhJlbwnDOo75S8XO+pEu7vw9lw802KQPFYWljuxYQO85otfPEMcILwgjV87SrUxvKcNDr0HSk67P024vAKh3jzCLL+8xtUhPHuOrLu229W8Jn0LuUY4b7zXfxI8quqTPA8cF7uyhG+8N44XuqxCRrxAcuk89wG7uYVCwjue+5887T2iPCks0zwK4Ai9RIfzOwKWETy1/to8Ys8OPB+f8zuwsa+794c4OymXeLwZEie8M/2NurMsg7tgYAK8+QidPO27iLygsLI7A0cGuzQaobzyeLQ7kQMGvZRrgTuixAa8wuRlvCF1nLzn6wk8hEzKO/GBKL1Mn7G7ei8mPFfM6rzB8zm8pHdrO/Q9VLwkEQw9NsAPPJ57nrwuTvO8Rl+3vEj92TzizuG8TY/KvGzs4DxNN6o7+katPPiALj00I8y7zZXeu+WwCDxT4Sq80lzevH7phTxTSSY71gStPLM9H7y/4gq8DffVukKKZTwZV9e8PbNBu+df7DxFBdQ7odJsOLnRgLxdMeO8/fsuudsBv7ypP087ykU+PMpXAjvfx3I8qnUXPFSzJzwsOQW93gEguoQzrrzvsp+8AjijPN29ibwwOYs7sYSQPK/+s7u1s788TIyLPLXgCzxMNZy8vzLROxuqiLx2SiQ9EJS7PLKbprocXRE91hjEPONxHTvP+T674eqUvEY+urwucz+8EVS6vCgZZDl3yoK61Pc2uolEG7uE5vo6OE41O1GxczzJXKw7pCknvdDuCzzJPOU8i+O7u3jpIz1ZLlM8ifyqu/1LAr02VtS7MqXxvDNa2bwZlZ089uTlOzVVCb2pbFM8SbWQu6u/HrywKhG8XRQMPRt6DTzcULg7c1uBPNRlNbx0M2k6o70dPO3pFbxVZNC8p9g+vWoDXjugPZk8bdrkO1NabrwyNq07Jf4uPIMNq7yLdpW72NlMPaoODbx4vxY7noWdO0piwTzinJK8pcgwPBpMnLxX2zM8GXinPG1Cobtm/vi8XyKWvFuccLw/Ie+8WQ68vMkgMjtfdQO9boJ3OmgIrbzXEg+8OFoYO+QgNjs9oIU8zLUTPH9S2TpHMMQ7r3oIPDwaVLy4eXk7qlAEvRYz1rvekRk9k/LBvIJhoTx581a8KYDZPM0PQb3kZZ48oIK7vLPpkbzu4Di9hSbpPN5Yf7u4C3i8DqGPvN6MAry5RUy8Z2covDDeRLyczU88Vtm2uzMgtbuAbJY8XVm7u2aGFT2Kork76i28vCICGzzZZFu7dXsXvC7sSDulVtO8usbvvLzcIbxjR7U89lw+vEivqTyi68Q8uoXqu9KVpLwYH0S6QcWwPO3U3jwYbHa8ztwjvG+SAjwenuU7VzVWvFNis7xln+q8KiEnvbeQH735R+K7ExaBu+56pztDnoU8enoFvPJwkDoW1CM8Hd7uPMHv1LwNGx09DCCivBhFHDv7pTk8/1SjOWomZrzuloA8XmsIvdjTE7xUgQo7wbtXvNFRJLy0NIa8dUbNvEB3Rz3gD0U8h+enPLmIsbyaaSa8aniavBfRXrzPs5S78Ms6vAkhHr2kDBU8nhFbO3564rmkkQE9ITqQPI40ZDtpk4m8A4fJPBUopTwzeSi7/6gMu3EKtLv4T5W8PQiVO/30w7rp1JQ7JIQqu5Ra+jvX9Bw8YC+BvLZEMLxvJBO5uEeMPGhvVzofz5I6gJLiu2bMLLxSMri843s4vP7gz7zYJyS7asSlPF13jbxPCLW8sL0ivWx9cjuALnm859rnvAQ44Lz1/yi7uB9XPL0EgjvxkhQ8f9+0OhWSzjtN3Ym8RoeKPIHsgjye3UU8TriwvHwigbz2GBk8fcA8ui7X37mEqiK8O8HgO7oRfbwL6DM8cs3ru3+4VzwNQx29WRGQPFRNbDxLxCE9VDq5u/EN/DzJ7wO9IHn2vIYaZjyPfCA8aupQO2oauzzIg4o8EFDtOsRDzruzYqq70HyTvEbrQrtLTAS9fwzDOwImNb2z7NK84RfWPLfMejwGKyI7qZHqOzWhqbxyUhS8XA0JvQwQCzwS0Ug7lgONPL7YpjxvQa28jy8aO7QhADxN9iq7GfC3vNXG0LwfTPu8CJkRPYcqm7w2HAK85KaIvF4FTjy9iZG8TnUIvcdCyLxYAY078qWxPPicozz4nMq870CKu9y4/juu76O89IeCvJ62B706iNa8aJ2svJWonDvvT8s8Jj+YvMwCLT3DMLc7CTNBvOx3hbxcyJu8/+eHu+pMO7vzsxa8WugVPG/eH7rJdnI7WaIGvapPK7zwKRY8dQjDvGCJpjxcg6S8galuOx6nMTzySra8s0jNPM2BZDwIOBS8L3ETPF7oirxQCfu7N/SSPMYJtzyVUgs9XnvdvPuvtLvjg4q9+XfsPPU/ILxqLCW8juBAOqEqH7wTZeQ8P3y0vAXLDrvYcje9qRACvVOzIzx3iEe8H+P/vBUzVDm/LHK6QKzLuxM98LvyIpC8KnuWvNd9C7zCeZk8qdH/usU+iroOLOA7M6ycvJAgTLxyUuA8CXaTvJegFDwkAsA8LQOHPONn8Tywqmw8JNEGvBNApTwDBYM4wm8qPPgL6jxAqqu87XjLvGJksrtPrwC93wXXO211Yrx/mWM8jlZQPLN3/bvwB9C86oPsPDtTBr3W8fO856CVvC/uLj1J69u8yIMBvSIw0ToFOTm8A+XmPBpMHLzl4wE7DgSKvHxs5Tui8KA6p6YDPIQGK72kkPw88VmavK3p6Lsxh1W8yyr9vIydVDz8/YK8VLVpPOvLhzxwVBi9+iJbu68yurk6J8C8ImecPEir4zwc1DW8Ytbhu+ugXbkJDFI4HeFUu3Ncczxk7CM7TU0au+6CHbyAqcu8Hwzlu3KJADuf/Ao9iYsKPfoCP7zcuZY7+2lsOZEeK7xE6aw8ILm3O4xlsjyov9s8XBIHPEzNAbpCCKu8sBW2vLbLpTyATQM80f0HvcM/3TubKRC7rk6LOhXdUrxp2Kc6aZpTO6XYgDwAKbi8FGnePHjlqrlsBUg7NsAtPMbpBTxev/+6h6aFOrQjuruPlM67ihUZvHE6Fj1VzzI9akTAvFVzo7xwf4E8Q9YGuobcr7xVHGk8a2uZPIETyrvGV/i7PlyWPDl0dbzI9vc7VoaivEl7+7u1PDi6XeteveQRTjslOqI82euZPOds07tPblK86JRPvEiQLr1p7sK8CICHOjL6ITvB2Re6PHHpOtS8Fjo0Y7k6VdFtukI6XjwhdAo80fNEvTDJejvlzpi8ef71uxqwkruFOMQ70Eh3OwNygjvQXw68CwvDu9NKw7x6CPc7k7gbvOAV8rvA80Q7OyGUPMsqWjyb0tO8sSsiO7mhjryjpTi7G41TPCyylLsIl9W8d4aePLC45jyXm6681UBuvLjV07xFA9q7ILGyOhrExbud7uu7WIEUO1EF7rtK2Dk9MvT/vLt7Ebuvu7U8Qm7SO6WL8Twp/2Y6/n8yvKcTrDykCs+73K0dO4Fa0ry3OJE8bWrLOqNE8jsO3Ek8R6UxPI1RAbt1jki8iKNqvGVZCDyCjjE8xYwvu0Tgj7z0q7c7pQ7kPNGZHryYd8O8aRBSPFV+BT003da7OZiCOCrrFDvgLjY9oDWTvDfmKT0+yKc7qlGwOpty0jqCJgS8Yv7ZvKCN1DzDr/e6i2P4PK7mozsj+9y83Mg1OvPDsrwpX6u8TQyVPOl94bwAwk47i80TvIlmWjxQKRK9zb2jO28R7buz7W88jGpGvTjYtTzW3MI8y1zUvDzL3rtMH507fSQ5PLoUlzpa+Lo8sWqCvJLNUrxVgxG77eSTvJ7xtDxs8pQ8LuOTvFePhjsvrbI8B47HuY8rwrw4M8K8jEgNvS5XizxEKwU9m2iaPLeSkbrfOVG8mjUWPMbuGbxO3wS8SIyBvPK7L7wcZpi8Ca04PBZLfTwHFvc6Yi57vCl2m7zksx29ggJEvKfxjDyVXg8521kivI53nbyK+bq8e4uePKZ2UzymH4w8YHh4O8f+vjmcCOU8w9Zwunq1IrytVb073cOtOnCWVrttq5e8FkBXOhszSDyRCg28Jh0yPL74hLs9W+A8yXjDPDrU5js17lA9w/i9Otx2fzzBfeU7KoMTvR+YD7tAyVO8YoB9PBj56Dzuxy+83d/Fu8Q7P7y3OKm8Ns0wu+Rdl7xl+vK81ouNvEybLjxiWw29bGwDuwPyxzsbWnO8q5l5O3E2TLxcr2K7VE2UvPW0Xry9dc274oGwuQ0DIbyGLoe7qnaSvC2397tntVm8CPDLu+C0jzx5/pg8Gi0JvBM6g7wwQIQ7CxPXvMVTBrwbRl87XJdfOpzTKbwkqgc8YtDwPMjOnjvGmQa97Z0EPQBwDzyD6lA8g9NnPIDTpDzFHp28Lh+bOxu9oDxs79u8+Pr5PKqapTy6SXu7nmkdPHV5PDxEK587hdcMvcwMfLxRThe7Ti/gOvlVjjy1/0Y8Jc3/Oscc1jxQOuG81P7Zu+e9HjzgWp68daUPuyzyEDwd1366htFDPCec6jy01u68AWDXvKF9LLzVEwY9pxADvIiOiLs9ruG72RHOuzHJwTv/LfI7txYAveVYQTzGXd28TnsIvSjXOD2H7546dIFrO0AvErxg4zQ7Cum1u4ra7bq6TEq8sabOPBWNPjxoya48oempvDJAGju/Psk8OEDXPP3FhDykfB26cmG+PDcApLzuFaq8EMvYu1xWurzFDWc8QQ88PGZT5bu1O/s7mg+2O/RikzljqHa8OXlnvAWpKj3P6547huQAPLkCFT3qSBG8XjHGPPzpiLxiJgS9/402PFOmxDsQddC7wSUJvDplDbsFcMM79b8jvObRjbzrvdq7N6//u5c6ajxF1M+8uX4eu6sUNboO36O8sVmzPJWD5jyzlQa9F+poOxG3CbyYYM267xDwOd0AJTyXcww9gtsYPMbJNzsxsji8WdpUPNV8R7y2ykI8SkjNO33RnTpS26y8T501PFQXmTtbTbK8kVTVvOV0IrwQwK+7TLcBPUyzFz0s3hQ8jh0zvOMF0ztj2J28+Q3VPA==
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ index: 4
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
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+ total_tokens: 858
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_rebuild/test_rebuild_embed_only_skips_unchanged.yaml b/tests/cassettes/test_rebuild/test_rebuild_embed_only_skips_unchanged.yaml
new file mode 100644
index 00000000..2fb38b58
--- /dev/null
+++ b/tests/cassettes/test_rebuild/test_rebuild_embed_only_skips_unchanged.yaml
@@ -0,0 +1,158 @@
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+ - application/json
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+ input:
+ - |-
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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+ uri: http://localhost:11434/v1/embeddings
+ response:
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 7LmouUubAT2u4EC9+WeBPB4Rn7pxGCG892hoPUQu1bxI0Yk5k7O3vCjIGj3aaRC9cum8O4S1vDyZt+W8lOORvP1MF7y3sT881qJUPPLJ57seGa27WEXyPEuJsD1Vejw8L1ZkPEe6Er2p/eW8eLCfvZ6LVbynE5s8wEs3veE5nrwIdAG8+CebPAx9djrwImE81+A9PPvBhbsH8E88RqmvPAJHg7xuCZs8mBxMPDceR7xdI6k8GLIpPHOpMzxJZ2q7iDuqvCe4I73IHkE8z2AvPLsLab1+tJu8PAyTO5yBBj0/J+48PCAMvE0KLz0Pli688SEtPMQFuDxXG0A8i0WXvNntvbuVUWK7L87OvOKBCDtMFUy7+vSUPEpbpbwSz7o7qWsLPB3ZTbyATqk8SriCvA4aX7yItZk7u43QPJ+w+DvBDfY7xIvXPBE3ibq7ta68L8zlO+mZLrxv2OU8GmKOvJ4oJjybBm48e4Z2PJXxtjwVBzw8CysSPXiVwju3J+I8Y6cXux7pAL0Kx5u8sSaRPAp7ejrtlgK94h8Vu4EbXLtclIM7zfFYvHr5T7qIi2E7s/3Cu5hdgTwli7W7l3elPPLfDTrm33W8yQUMukPwlzsKeaO6hSAaO+HbBDw+pvC8oE8aPLRnUDxYCSY8EQsLPCn6Vrxlt4o6N3YbugbsAjxTN0s9pYgyO3UH9DzZUlC8bMkAvN2vZrz6Dqw8pZAnPJnCYTsAOiW8EvlKugbnWTw+KoC7fLUqPN6cmTvzb9y8etmsvHk0sbsBn7M6YjMDO1dM2jtFjoY7wliLPBhY2Tis94a77KnOPHLaKjx+Pic88gGNvOT4mDxL4d87RWuSOPjnYjskQy48/t3du09bd7t3mIy8SkuSPLCuhrzepXi8Hy0PvDZOILr2JRk8sjMau3GXe7xfo4q8ENqEvKeDAzzgxxa8VoGjvGa3kLy/Q+S8ClMTOxx0xryWH0o8GphHPNFq8ztyAqK7QY7KvEcMw7sUysU5qn2+OmCpJbts85W8g8ZUPHjMzTxUDAQ7YwqIuAn5Hzy3FE48OkLnOxVUlDowBI88xrzluwFpl7x/30S7gyykuweJkrs4ZD48G6HAOUgMLTxibfy8RG+vu+VYZ7xo02W7ifd3u1UfwDt1fcU8kYdiu7o7TLsEeIk8MJJxPKlkizwjtSE8HoO4vBaypjxl8368Zz6ePKm5bLuCaLA88SZ+vO1QQ7xCsTs8FfS+O5Am7ztud1u86LVFPK8mkzkbk928JHBbPPF6BT0dIyS9sco6vW3HL7vXyks5AFPbO44TILue37K8da5yPBVnCzvd5So71BJGvBatDz1rIX08jC/rO6iGPrzm0sO8LixiupZMUrzAlbQ8WrNYuxiP+TtTVpI8tAJGPFhCULuBQZM7qqcovB/lXLzSYEM9pOEUPDwIfjsuWZE8XXNvvEAu0Dsh/UW7At+SPP/BlryUd7a8Uh2bu1/Hgbu6n6I8UnxSO7i9qTtp2CS8SdlsvPbvgTyjNzk7J2XfPD16qDwWodi76MUcvIrCQTsCUYw8F+AaPWRklDtRYyW8kBTKPHmM+7uCNIQ8FJ3Nu/WlhLyp+4S8cABzvHqCy7p+SlU8b540vJwB1TvCSUE9HFNxOgF3ILuwZZa8v2DWvDC8ZbtYIqg8Z15JPHeI0jwJ0oY8qlq8vNVPrjpxBeo8c6/zPP+2YrxP3LK85XsGvXNdErz1fU07NZEEPDjkwDxwaVA8ctGGPFgGdLw/H6M7eyG0PGnuhTy7x9i8JtCbOhHPwzvEMho8Fcx6u5EQEz12TPI6hVa6vE9+D7zkeQk8ka1VPZQeybs/0ye7Eq4pvJUKrrpurkY8T2R1vdfqKjyxv4m878o3PJ2gG72U6c27YWyzPFGC+Dwn7xi8dxnqO1O1CT26g6e8P7dBO23Ku7wFErM8l/ZFvNSvVj2XQQe8Ic8avFMfLDwMrdG89U5KvLhDHT39X6o8hEDGPJ/HIrxxs928NeOqPLvgVT3dFko7MBN5u+g83TwuRPc80PWSPDduyzrQ1t08UpWxu4Hgjjyixyy80Am/vL0kXzyBRlu8ihyaPDCbv7wlAdE83lP+PDY3Mzun7u08lYLCOxjkmzwq3Xm7hyaSvFlhC73eUOy7/jzEvJLhdDxvkkg77oUBtresjrzI5ay75E+6u+TYET0wH+A5CGGBPOyiP7qy5m48oY5MO1gLnTl+i9o7VLWPvMxOCL31wWM8htOUOvPtHDxCnce8/NDKPAzgnDxkgbs7alMFvT65RTyvjx88T5XKvOon1rsM3UW89FyPvDRc7LuDlUc7nUA3PW00djxyzHG7aly6vAdf8bxrBaK5Aw19O0gDzrt+xdM8826DvGMVgjt4Er+8iTlXvBwjgTsT6XU9dsa6vLneALxXHvw6SXkdvFIo+rx/5BK8Du4+PL8GojzrkpK8i2bkPCyj7Tz3Rw08NzmMvYTqJTxt+o27QFgTvJlxyDtDJ7k5BsedPKdMHj2vTZI7GniivD1bBzwNdiq9SMC0uy+W/zuY5rg76TVjvIuhwTvoRv47dEe6PAmjurzO+r68KPo0PL7OwzwknwO8J76LvI7aujiHM2Q7JhC2PKuNxTqj2XI7IJACPVYGAbzNFuo77xjfvOwJ/jskQT05VfZgPB/dszy0EPq8QCz0PEi/V7y0Q4q7zGgRvPxEUbo5mpo9Is4DuzKBP73L+ms8aKU0vIXsp7r8rfU8n2g6vGvg47t0cP6801ycO4n6Gr3r5U08OieQuw4FCL39knq7zJeovOMD8LvXdAC8iKo4PBX1vTzX1D+7GvAGvSevBjyKLPC7GSkYvHgxlTx2Wd66rLM4uuInh7yL14y8btRvPJEfjjyfUEA7x6NevNZJeLtKcQ28Sk5LPIMkWz0y2yE7Pp5KPIk/QTucMBO9KDJxPPLqBjxFU125srbKvKnwK7wp77o8s34GPLN73Tq7BAI8U8uWPMTz1bsm19a6PG9KuVg6mjxuQ107ZdeQunfC6Dws03E8+gAUPTDoGT1Bibi8YryhvBAxKD3JXTg83V/NPOUBUjwe+SW9FOvCujlWVDwQd6a893tZOyfkKDp1GjY7P3UEuiSPtLxjwFC8LgAEvcFOgjwgSuk8aFo1PcqnNrxm/kU7qkvNvMBB7boDEuQ8YSmVO8cxS72t0qc8CFlaPFqPgrtCcZ+6QBryPAPQYby21tC8ByNWPJ+vgDwgYQI8bjO3O1M+9zzMjQC9P+fHPIfYJDq53Jw7Hmi5OxXkpDp2fgi8LIxPPDKEUTx+B4K86vUFvfwp/jxOVuC7DktRvIpx9btV7yW9vc0avYWzLTudOuw7OQNDvfPoeLwRfcM8MufQu2dqSj2QZQa8nw6GOiqOrbyNk7G71RCmPPuSvDsy3WK7+tsdvYyScDudcc08p3obPeNFLDxYQ4O8eecrPOeBDbz5w8I8Zaa3PEY/4zxZ2cO8EexwuwXmyLtPIxg84xk5PDKPJz2ClhM8wjtEvbci7TtpSTG8p19UPJ+jLDwliKq7kEjaOVrOhb3qRCy93sDqvLUz3rtm8948B2FPO7hSjTqgR3m6sBhoPA7Ffjx4B5o8EwmpvFHIVjyFjam7LzQDu3cd07xnspW8C+WDPGd7WTxrT5s8f6ZTPJdW+LqUngS8jBjsu/kZhbzR/bU8IiFbu090trxHNwC9EEP8ud4SEj2Phwc9OngcvK3NubwVNU295a5euqa4Jr0gUrE8RlfeO6SE5jxhTBi9w6smvdhvvDxllbm7kq0/PGTLFj1nKEE9274VPHfRvby885y8N0oSvNktdTw6UPg5HpgEvJYZ6TxirK275pEQvC3lGDxR7NS6CBhkPAh5gTv452+8AY99PCLDB70ADOW7JN+7PP+pljp0pSI8a8InvQ78vDzg3UC9tRSzPGBAAr2+Quy51VjnvFmTPjyYfu87cd9RvDLL5Dw4B0Q8xow6ue9Llz1nTXw8yomfvKrDfjw+ix44WoFfPLWE8jzeHiI94CpXPOWrEzxcYbY7qUSePBy1rjwr2cg8RnUQvG8tfzy+9Sk8dAm6u/zeHby/E5y8j/mnPGKrtLwhttY7DeS9vIu4az2fkjy8+E/pvBiKozuIVgQ9sk0dPURb2Lx51IK8z1YZvXHBOj3dFPC6OUnkvAJUwzwgOIQ6vAmavOclCzxaUGi8YiADvX3UEL1gtqk8ySCJvK7rQjwSnJq8nGhwvFsrhzy2qBK9V6rLvK5+IbxWz4w783w2PPstPL0T6Rc9EQFju9OU97wJyWY8I7YTvBF1zbwGEok8ocObvN8TgryVPvQ7BPgKutvdbLxDzuu78EohPVBZEL3tDAm8vziyu3c9Dz1i4bq8oLnmPH6Na7wXJz27jYbxu1TeAbww5rg82lKPvDnwUD3hprA69x0+vY+nDbwGYsI7CvhNPeVix7sNa+u2pK2SO2DIlDxiKF67MaQ2vf0fM7xCBwM8Ed3TPCJelbsDuIg8IJRKvWpznTxyvpS75xd8vOeDTDzuLH68jkKIu0BZkzsSemA9//4RvSZxUbvIZpQ8YwqSPKT4xzxQjHK82DbLPBun5joVcls8WLHqvG5bC7qIrbM8dD2XO6rj2DsZvqu8VNPsvDLLjLvrvzq8d7miPJQHpzzPsUU8eU3UPNOolbzw/xg9IYZTu9irgrrhwr06GuKGPCxADTxbJYW8SJFIPezrAj0u9I88/GkHPQt9ODzvkqW7IvFfvPLqqDq2Blo8EbSovAGOv7sa1hU9RfGJPEjiHbo+2Ee9yjKPvLdvmTuQVzW9CWk/PDDfsTzmTpK69QnHu2UjZ7vSkGQ7cc2LPBq1gLpRCXs8ozvovKvPXryfygs7+8UivHVXWzwO94G8hOuMvMVuBzwq4Fk8CVJiPDn4KjxjX9Q6KdWkvHkNAzxALam6ebA0upeyQby9YDy8r143vA5yurqqXzE8gDDCPHRqEjsbqvk8zWXcu5bdF7xUyUa7hOk7PfsJ1bwP1gu9exHUu3f7J70LeCW8m8SvOzu9GbvkrUQ5DsxYPD/GsrwmAVw7TC9buusR6bqBmLK8Pa0QPSO3wbxiLsW7/nR+u5I5+TtCbhO80a0HOlY2wzyyI4w80UUUvQ86wjyz1DQ6TmTIOyyK3Lx0dIO8KOG9PLvqMj3OKqw8qp+VvG5hWbxdTWG82HjeO4shvLzg6BS8RXT/Ox8aKLxzA687t/U7PfblHD2LpgK8+NmqPBkwWDsLPfW616EAvawOLb1HhAo857yrO8vPVbx2E7e7KGEVvQ3R+Dt+og+707ShPIgktjx79ik9dIY1vXSNubtoL7Y8ij7Quyiu2LwIEfs7cCcjPAdwR7z+XB27vNebvA0hzDkZdoG8awA8PUqPyDyjIe071gqGvKHyhTu1foo7V0DwuuMt0rss1Bg9p0+7vMJEKTyHwgW8WTloO5qIQrw+MBi9njxzvH+vmzvWtN28/rVsPA4pVzsI8/g8ZkQ6vM8mHzzmYEc7pqyUvB6jBzw/srU7B4MnO0R3Cr2AjZQ8y+PyvA+ZgbwWTjQ8iZYaPKvEszzEkvo7PixJvHhBW7yCpKC8SikCvc+SCL2XavO7KN2WvFI1ATyENiA8Ag8CPVVQHzwjxXe8sOW1vEMCBjxSQOk8eq7fu2Kjhbtv+x68rgoOPXAnmzuOU/O8V8ryOhTYwbze+QW7q79rvBRzvrxbbVe8lG2WvMJ8IDyAJl68ma7pPJOVl7s0oiY81IdkvCf+KbyuE4O8qZCPvF7VNbyt1wy9Idu+u2wJ0TzqRxi9dojsOwB/zzylEy2879CaO7MSm7qx5z+8P+4WveRy8zuRxFI8lGyzvJyXAr0DB8o8jj8bvCGGUrz2iYy811jxvNztybzgTBy9N127u6SQTTrxbTu8HEKUPEOUwDsZnwu8PL+Nu66LQbvbAbS8itzmuw4FerxZv587f8+gu4PY2DwpFTu8ApAzvZuL8rwOgCg6UwYFvDHa57xfCBk9JWPiOy9k5byiB/08ouaZu2LFpbyqmI478yCWPCIYGTz32DK8NOwkvHJiNT2zTR28EoPvPDggiLxOSog84fWRPPYa1Dvm63i6eO38vABk2bsjVos826PRuxF7k7yxrz084tR+PNA11buEM/+7sVEYPEPbprx/55M8sRFWPdgYnjxVG9Y8uDFdOxaGAb0S+II80tWCPFxeTjw/cQ09TV6SvGTTmTv3boW7tLQNOmGzGzxFQbk8a7gOvVnhGb1kIVm8UFOTPBbJvzo9WpG8QYO2O/9NY7x093m8j9YVPUKt5DzWFoU8q7qrO+PD8DwV21C8e7F5vAkmkbyuEyS6of0qPCAa+rxJ9Mu6d1m/PC/oXD3qzkC8eQsYPTYQxLxb4YQ6IiRWPO/TSr12M4G9gr6mPCzTpLwIFxq8o2KJPCn4IDv3cCO82H3XO+R2nTwtrSC9lLs/PeoyhDyXZls7wfNSvLR7nTxA26q89rP5vCVlLDyb9Qm9mFEBvZvTyjym8sM7SMKqOwyoF7y1tae8/lGQO0N0Bb0NDCk79mGiO5euiLzLmO+7BvMuOyXVHby69eK8sA/DOykmHLtxdBM81AQHPcJsmryCOes7pFGMvNSu4TzV94w80sh6PPlkVzzhB6c8YseCPBMU/bv4ebc8Av0nvHSKNr2lGj08zYejPIocArxn5gy7wL5PvN/71rz7OPk8uFWEvAyAibmlix49VIWXPJrv/LtWgZU6nRRKPDH3C72Erws8nDp1Pdppnzs3Uu46DW9HvMS+cjtXIdc62GxgPGmxHj3ThgA9MESmPOpgrDzegAK9994gPRt6RLvcQcs8BjhuPB+TXTxstUK8wfRPPd0XiDw6GfO8o30rPP5+s7zscbm6KH/NPOx/SbvDV2Q6H5XmvFFMybruuJi8n1l6PD41Ybt6pQo9neQVPO1N0TqwYaI7UXipvKiEaTtWqv68VsqTvKMLNj2Eaqk7PdsxPDGllTyaIxg8OOf0POHt7rtNlfu71wkWPEEjEjw1kxg9622tO015+7yo7g88cfdyvGHWSDyKzTu8A24CvFCHArw7nBC8Qbctu7/Ljrvaw587jTSbvDnYI7tNKuI7SOltvJEp+jqx1IA7xSOdPGkltDq1vR893zSFO5x3Bjyh6bo7ijUivLffc7u1KLu7DZ6aPBs7qDxjb4k8mxdTvFB/nzwFChQ8twGgPNZUkDw2a1s8mjDGO8xno7xg+jK7uuKJPIUtP7yPGoY8dfJuOyMLVzxZJ+m8+p8hPbi9Mjq7FoO7tgXqO5zaGz0D9Sg76f0HvD5CYjwWzSY9eXADPZQuoDwRizi8EwsrPQa3ND0+vO06g0DtOzfmw7z+PKM8c0X3urQf8bvMsDM8IzmKPKaaKzy0fpc8fb6Xu64xKTyDELc7QoJDPOb9erxKF6q77gAVvG+TPry0X+I78zJKvDqQxLv/+Du7GEJGu+k9szvzqJU73MOYPDZ9hrzTCI08iykRPFdyD7yA3pk8p/zGOpZxJj1rxD672fFKvadWfztcIhy8+aO9vHweAT3D2co6eXZXPMbdx7u8zM485c3KvGSBHLydI0k8vXFHPDoSirzR6V08j2KrO/fZBT19QTG7xPmWO2JeSbzsVTa8lEXkvHCBYTvJmLG8xp+ivBSGJzzlLgw9K+rHPB0F7TxoGl883q0+vCaSNryY0eY8TV1HPPIIOrycsJi7JlMvvH9KMrwL0nK6Id8EvVD6YDy+IHS7WBHeO8kU3bw6sxO9k4IDPZtw3jwXv4s78BsFPE3iUjpHaTI8Y5wLPVvBlbza3eK5i5XVPC1bDj2D7FW9G6njvPoT3rvvN9K8zgcJvPbYGDzQ77Y7uCnDPJL03ryMVdq8bZhVOmIl+jZUXu28WtasvFYlzTzFUyc7QN1/vDQR6bvKWse8FZPDPLtpoTvdJKC8aNvjvEIrJTzFnHk84LjJvNGd+LzT38O6RFtIvLDCrbxTu++8Zgc2OQAWBjwJFcm8kQjrPP3n0rwf6zk7o/JiPP1UUDzUlbK8rxVKPePnZ7ySF8U8O5WRvBA4lrn1mhY815xQuhX7pjxfDym83sSKvAiizrzLTsk7ZNtYu9oDBjpNEps8kjNPO3Upijw/uMa80iGjPO0b17wTIN08oSihPJIblbsQQ1U8lT2dOx9J5bvvl4C8Vm4jPKM4UrwSOeI7AfUyPGl6wjz+kiS7yUK1OpXLR70oHRE8Qn3xvCZV1bzb6ZQ79oyEvNQ3Lzw9ZbM8LWOTu36aebzKB7y8HfxvvHPEMrzNE1w6TKMcvfpUWTsFH1I8uykQO+sCtDzB3Aw8wWppuTWxxDzKGEq9zLkOOxviDT0pECA8yuQoPCa1QbtRA5c7T1QbvGOKp7zqSa27YA+UPCkYDTx23EW7aKrNPIrJQDwsDe263JEMPDCRejzKYyU9R45nOh0kYrxJhoO7q/APu9Qq3bviWF87d84WvHpywDy3c747n9DxOwOzFr3hTqK8enXBOhCoV7yfUMQ8cOCuPOpTmzmj0lk8BdA8PJqzJLpt8jk8WAcivEgfO7vg6Lu626Izutn2Xbw44/C7KvN9OygtyTwkRaG72FLeu/DFuLvrB8q8kMBGvaysPL2sFjw6C0ymu4ZHgjzGUQ87mPM7PPsONjxJhcs8OH0ovArbmTtEl5+7wanLu2wfq7wTt7K8u5VkvSqcJz1cxd28geSsu+puS7zPtk28B/43O7isAL2vATy8YDZQPHu6xjzRBjy8jwAmPA0c/Ll/1im8lx8HvLDj7DvE4Sc8NKv9PFpwhjzh88a8LnCGu9l3WjswR6M8AwGCPNR97DtY6pa8vyXCu9rjdrrpDa28utvfuaBdqjwMkZu8+sCSu04ODLpIZek7lUmYPBo0Gbx/WEY8PCT3vBJV7bs8kqC7CAd3vAUdpbwPh7E8dTSRPHKFM7wkW1G8FdWlOyK957zqKcS7MuASvLMiijtKdFk8S1zhPLUgN7yGr9S8HoSiuye1mDy8BmW8/VY3vLlR7TslTgA9Ul/bO7cDIT2jwEK7EcSOvLBgNzwsNdC8BQ55vAmTQTzJDgU8iEjNOxTNyjs7pee7mwOgPNhbxTyWOdG7pQxrvKb7u7tByaS6WtzJO8i0N7xNxsS8CzMsvJeiu7zLNMo8i4qPu1XABD1s6+E7PdutO7diizv7B6W8Vvn5O5GpkLzmd1G7hOjJO/XGbDo/wC48ZEK1OzCEAryx6yo9VnStPOSLETvUdju8tzMXvHITGL1MxcI8y8/FO/PIULu0frA8tNIrPDgODz18DO28ws2OvEao27zs9BG95cuKvP6q1bkWbT86427IuzOLtjxNA3O7d++wut16DLywRde84u8qvRRmf7w4hq48mUryuZm29Tw9xcm7iiEDvEIFyLrrY8m82STLvKhZVbtGyUA8H7yyPMq1HL3j1aA7f21BPHTBPTzmOJo7vdo2PY6lXjxUHqA8l4vLOyyhhbzqEVC8ErbfOi2CoLy9YOq8AAoVvQpCyLx6k748NgKvPNB3rrx7ajC7BVsjPAu9bbuvrTy7EoM0PZ+gCT0aTe88Dc34ObrFFDycJj28/dq3OniHObyc1H08q15LPBbcSjxHTay8Ad+CvIpedLvj7q68zlpCvCNyejuAYDW9uXDwO202JrwwuLK7rom4u+gYv7sY8U475+d7O/R8gDpM4BG8xPLbvFHPnbyVZNG7TlfiuxvqzrsazGw8OXIVvWbWtDzx/6m71EDKPM+L4ry1bg09KhcPvdQ7wrxK8Py8mXRPPBoNEb3g0Iy8oArRuwrA3bs7OtI79v4gu6ZhIjwg2Rs88u8JPDAGvLxRTy27QthKOX+ZAT1xMQW7cwPGvAMNAzzN7IU8k3ZbvCpjKTy6ipa8jnPtvDsN0zraSDo8FxNMOpsj/blr+t088gmpO2XR/rwtZmM7rNNpO0CpIzz8BwM7qCogPOg8RrwQes08W+bGvCfpuLx9kVe8HsegvAWSkbwb44q8uHwPPE5rmLqt/hs9LWbGPDNg+Dvz1UW8FYpqPKsat7yAnho9qkpqu42jYDw5oSM7eHQBPFzllbx7n4g7CYQZvK/DK7z+dRe8CILEvDE17jv2xI+6szmsvOWpAT1NEkM8rRlJu6goWDyNWRq83Ajsu47WsbymboS8QV3YO8mtBr1Sopa6PqwEO/JizTynNz49xFqYumDzlTzG3Y680m8kPJe5sDr9CMW7P+DdvFmfG7sFMHi8NJmhO2h6STqmjno6ALGsO7jtrjwihAi6wPdCPMa2Dr2bXFk7KlWKPCy9aby1R++7nYadvCipoztZW8C7ae2KO7gPcLzr+I07EiUBPW6s9rzu1IK8i+g1vSqQATxJCb68/9GjvEPBRbwfMKE6mvLku2LRirxmHm28OByFvKdYT7xw3bG8ZngbPSnyDTzTJi28pFKmvN+29by/4Ay6aGbBPFExcLsYMss7Vr4xvB9Fvrs/p8M8E/eEPMIPbDto+AC9sbSUu81A6btTdM88ZBqwuwLXJzxfUx29jmflvPto6juCfwG73Z+OOQOOz7tqmkq8t6dEPDKC3LvzSHO8qGgtvC0c4rvNar+8AStcPGkpvLzFmui8ZU3cPDNy5jxVyHE83I5HvEbiBryOxDc55rvevG5PgDy4J/k8QfocPMr5wDskz6C8YIKyOvhTNrwcS5k7NwHFvOAbvryRTyy98yEhPR0Bsry7eWM8bI1AvJ8g0jxLER88UOvRvAzDk7zpFIk65McAPazrfTwy7dG8RscLvHgQDLtyMDy9WxPRO4mWALzZJ2G8sfAku+BTi7wvVzC7HIh/O/yB+jySnvY8+OsAO7xiBL0JSaO8xTCEvE99g7tn5JS78x4pO/kGhzwucIY7togDvVDUf7z+bDI99c8vvHBCaLteC868QdJevJq3iLvmvYi8H2fBPNryCzz/jnW8QlwEPV5Y5Lx0YAa85VYWOdNJpjyC5Og8kx+RvKfSSrxFKn29kBbBPOs5UbyvX807xLfbvLcEvrmCrDo8TolwPEMns7snv0O9JGtNvQ7CAz0lqs28YHHjvLVYG7t0ltA7phIkvOvuZjvvXpa8SVYHvF/T6LvxKbO8ahBBOy9PcTt63mW7pDBcuqNsILxHy708CoOduwcDx7zfAwg8Nhl8PFMEpTu+Abc6RpZzvPnmPz3RM4O8TYmDu+0jAj1Oiui8nvEtvKvYNTqGJd67fBeZO8DMBbyj57G8lLKtPPiBkrvm17S8i+aVPB5xGLzRCwC8XJ68vHnGIj3sGJS7hhdnvN/E5Do3X3q8yaZzPGbWm7w/pjA7tvc6vKR8Gjs5wdu7pvSJPFnPD71ctUU8TkkMvVFM7bt7mME7fiYSvYpyfrvhAYu8GQgCPPAhBLyl7zC9uImUvMuyILykCqK8G0h3PF73pzw5KQC9OzsuvFi0Kryw9Te8AkDQvHRlSru+eEm8KUm3PBuzz7vxVMm8U1iBvEPY+7yeg188ZF+GPChCibxG+S48RxuOPB54RDxodZI7WrqjO8U35zw3ZqI8KVRAPJUqnrzJ7sm8rZkEveUwpjuyq1q8kqecvEMvZbzMu7K8kXRwPN/yBryZOZo82fbqO4FCVDwzdc+8OnEKvJNtKjyYnOY8zyeEOzkoiDwFues7X0hZvCQpLTysW1e8M4oBvBKUBD390BI9Y9PGu5P7Cr2VYUk8CwU+vB9z/TvApLw7K+YvOk8XRbsFjmS8vsh+u6+jdbxy5/s7Cu1XvLd5a7xYGwk8X7fJvJEx/DtTmFO8sE4cPUIZhruovFA89eeIPPrkuLxhs4G83wStO9V/0Tx7Qry8HbC9u5GyTzw+2Xi7JdX6u0ZOjTwmlDU80eEHvWaHKbujK7U6a3NWvGuEn7uRnos8POouvOCmi7r4WrO7gHoGuw7lybtAHrg8cjH5Ok0kWzrH7JI7l3rSOrCqILwVTLK8dOSFOzU5QbyTj3k4hp2xOYqbxzoFt3u8G2F1u1gXLz3WEgq8J8jJO+10sbxsZE28qXEoPDt7D7tFoOU7ppR1PDKzf7yZ2Fo9i0ldvLVIDD10zlI8BW6SOxDDHDyUl0q6Mn7cvHlJhzwGxtC8YICou5cqGrxiqyQ7M6I9vCn5hjy1wLM6yROhPLEBLTv4uYk7pwLlOX76U7wGA0s87XQhOyc9UjwcB9c8UUHiPGRpJLqVEMc8l1Wcu2x/yjxDc7U8cRQePJLTiroDYaQ8Pe8BvE4TOT3Z/o4883t9PFHrubytmLg7se4zvW0FUzvwJGM7NTczu/qMsLvIFYS8oy8zvP9qQDzHWuG78VuPPGKjAr2D3B88WjgOPDeI1Tz25Nu8unAXOzT4wrx0Bqc85pxFvdpC1rsY8ZE8seKqvJwSmLxPe108mLq3up99ATyX8nA8bkzgvMczG71t8Qu9xhGFvLgU5Ds4PgI9ueQAvQaOU7wVY1Q7SkN9vGMytbqrNSo8BXSNvDZwyTxkahY941ETPctjtLqHFM68kpi5PAeSOLymS5m8tECHuxtDkrzQ+Ma7zEeBO/MXaDyue907Slk1vHHtpjuslgO9882VvM3pGTzHAi48fShNvJejb7wXZJi8ldPqPDEkrjyXQzE9INNpPK1K0Lyt75S8P0unPChaQLz4VxE9s7oDO6wTJ7xBVYe89+Pfu84wCj1UxBe99E36O6OsUbuHCqW73SgqPehBpLymFj896Q8LO2kOmjwcsnI802gOvSiQ9Lx/0Ea8q4FKPClzlDx3vyW8w7bzOyKpu7sS86k8uu1UPPOeaDwTLxG98QMIvYVe8LvYNKu8qPXkvDp3DL0FC4W8KxiBvHKpGDyQWUs8AJQOvI50e7zk0gy8EUz7PBlD+bzuYWS7tJiXvEmCpDyOCzi7SbuGvNDv0DwmprK6emUGvNHR8rz9b8k8ev8PvYDEgbw5aB480Dr1vPjbcbzmq6E8Wz2zPEClDrwIbNi8XbOhPEjFPDz3b/I8vncrPEVvxDwKCBm9W5bJO9Q4zjwHq3i8hqr4PEzZCj3I95Q8b30PPYOBrTsGitc8rNCQu+zMIDvlzCa8eXCfPPGrP7kGBqU8q4ZNvKLgJjzH/He8dz8xvLduhry5ZfK8EWsYO/+8NDwgYh88/AxsPJHMjDyneRe9vLNivD9rnjzZW5w8BWWrvLS+27x++Ja7za1YPLCCxLr7Fqq8aTPmvD5MDLyGteG8Jev3vN6ECD3EprE8aEujO3Rghrjl+us6dY6NvMJfizwpski8QoqaPDKcCTyh2bo7vBUku27IL7zrXQk9VOztOx6IJ7ze5Cg8L9kEPcholbvVSWq82/g/vA4N9Lzm0lE84AwHOkk3jbyiQmm8H5cJOhDfr7yMQuy7YTqsueTVKj3AnO07iLQVuwH01TyNXbq8AlTdPAwbULzzOi69w1MKPI3MiTzrWGY78+6jvIHNdrxO/Rm7eU3Cu332P7xcFp87BqjZvKrtsjx9yAy9Or9QvMmZsTwZ6vW8Q5ZqO7qIEj1yIBO8uPAHuzkwpLt3UCC7qhRaPHoorzsYmCE9gBhhO4mGozw1gmk8I2YXPA5XErxPvKy6LD8fvGNwTDuUFwm9vSZKvMHr6jye1Om77hR6ugL4t7sfz8+76ClDPZ45fj0fcwy8ihHSvCxjILyYT9C8N0TSPA==
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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diff --git a/tests/cassettes/test_rebuild/test_rebuild_full.yaml b/tests/cassettes/test_rebuild/test_rebuild_full.yaml
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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new file mode 100644
index 00000000..a7fa679f
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 854
+ total_tokens: 854
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_reranker/test_cohere_reranker.yaml b/tests/cassettes/test_reranker/test_cohere_reranker.yaml
new file mode 100644
index 00000000..3c4c8f70
--- /dev/null
+++ b/tests/cassettes/test_reranker/test_cohere_reranker.yaml
@@ -0,0 +1,70 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - '*/*'
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '1261'
+ content-type:
+ - application/json
+ host:
+ - api.cohere.com
+ method: POST
+ parsed_body:
+ documents:
+ - To Kill a Mockingbird is a novel by Harper Lee published in 1960. It was immediately successful, winning the Pulitzer
+ Prize, and has become a classic of modern American literature.
+ - The novel Moby-Dick was written by Herman Melville and first published in 1851. It is considered a masterpiece of
+ American literature and deals with complex themes of obsession, revenge, and the conflict between good and evil.
+ - Harper Lee, an American novelist widely known for her novel To Kill a Mockingbird, was born in 1926 in Monroeville,
+ Alabama. She received the Pulitzer Prize for Fiction in 1961.
+ - Jane Austen was an English novelist known primarily for her six major novels, which interpret, critique and comment
+ upon the British landed gentry at the end of the 18th century.
+ - The Harry Potter series, which consists of seven fantasy novels written by British author J.K. Rowling, is among the
+ most popular and critically acclaimed books of the modern era.
+ - The Great Gatsby, a novel written by American author F. Scott Fitzgerald, was published in 1925. The story is set
+ in the Jazz Age and follows the life of millionaire Jay Gatsby and his pursuit of Daisy Buchanan.
+ model: rerank-v3.5
+ query: Who wrote 'To Kill a Mockingbird'?
+ top_n: 2
+ uri: https://api.cohere.com/v2/rerank
+ response:
+ headers:
+ access-control-expose-headers:
+ - X-Debug-Trace-ID
+ alt-svc:
+ - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+ cache-control:
+ - no-cache, no-store, no-transform, must-revalidate, private, max-age=0
+ content-length:
+ - '210'
+ content-type:
+ - application/json
+ expires:
+ - Thu, 01 Jan 1970 00:00:00 GMT
+ pragma:
+ - no-cache
+ transfer-encoding:
+ - chunked
+ vary:
+ - Origin,Accept-Encoding
+ parsed_body:
+ id: 56d8804a-d476-4c6a-ade8-69deb3fc8c64
+ meta:
+ api_version:
+ version: '2'
+ billed_units:
+ search_units: 1
+ results:
+ - index: 0
+ relevance_score: 0.9438932
+ - index: 2
+ relevance_score: 0.8455478
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_reranker/test_zeroentropy_reranker.yaml b/tests/cassettes/test_reranker/test_zeroentropy_reranker.yaml
new file mode 100644
index 00000000..8abbf229
--- /dev/null
+++ b/tests/cassettes/test_reranker/test_zeroentropy_reranker.yaml
@@ -0,0 +1,59 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '1248'
+ content-type:
+ - application/json
+ host:
+ - api.zeroentropy.dev
+ method: POST
+ parsed_body:
+ documents:
+ - To Kill a Mockingbird is a novel by Harper Lee published in 1960. It was immediately successful, winning the Pulitzer
+ Prize, and has become a classic of modern American literature.
+ - The novel Moby-Dick was written by Herman Melville and first published in 1851. It is considered a masterpiece of
+ American literature and deals with complex themes of obsession, revenge, and the conflict between good and evil.
+ - Harper Lee, an American novelist widely known for her novel To Kill a Mockingbird, was born in 1926 in Monroeville,
+ Alabama. She received the Pulitzer Prize for Fiction in 1961.
+ - Jane Austen was an English novelist known primarily for her six major novels, which interpret, critique and comment
+ upon the British landed gentry at the end of the 18th century.
+ - The Harry Potter series, which consists of seven fantasy novels written by British author J.K. Rowling, is among the
+ most popular and critically acclaimed books of the modern era.
+ - The Great Gatsby, a novel written by American author F. Scott Fitzgerald, was published in 1925. The story is set
+ in the Jazz Age and follows the life of millionaire Jay Gatsby and his pursuit of Daisy Buchanan.
+ model: zerank-1
+ query: Who wrote 'To Kill a Mockingbird'?
+ uri: https://api.zeroentropy.dev/v1/models/rerank
+ response:
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '309'
+ content-type:
+ - application/json
+ parsed_body:
+ results:
+ - index: 2
+ relevance_score: 0.9392035026199311
+ - index: 0
+ relevance_score: 0.918713920386427
+ - index: 5
+ relevance_score: 0.0860773208330919
+ - index: 4
+ relevance_score: 0.08035746882220708
+ - index: 3
+ relevance_score: 0.07673913563377131
+ - index: 1
+ relevance_score: 0.07498651627727318
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_research_graph/test_graph_end_to_end.yaml b/tests/cassettes/test_research_graph/test_graph_end_to_end.yaml
index 3b72d81a..6617c97e 100644
--- a/tests/cassettes/test_research_graph/test_graph_end_to_end.yaml
+++ b/tests/cassettes/test_research_graph/test_graph_end_to_end.yaml
@@ -1,144 +1,4 @@
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response:
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content-type:
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parsed_body:
@@ -315,24 +175,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to call gather_context on main question.
+ reasoning: Need to call gather_context on main question.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Who is the upstart candidate in Jakarta''s election known for social activism?"}'
name: gather_context
- id: call_8yzd8bzr
+ id: call_ap5dias1
index: 0
type: function
- created: 1766757509
- id: chatcmpl-619
+ created: 1766861913
+ id: chatcmpl-461
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 55
+ completion_tokens: 52
prompt_tokens: 427
- total_tokens: 482
+ total_tokens: 479
status:
code: 200
message: OK
@@ -385,7 +245,7 @@ interactions:
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+ - '7329'
content-type:
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host:
@@ -425,14 +285,14 @@ interactions:
role: user
- content: |-
- We need to call gather_context on main question.
+ Need to call gather_context on main question.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Who is the upstart candidate in Jakarta''s election known for social activism?"}'
name: gather_context
- id: call_8yzd8bzr
+ id: call_ap5dias1
type: function
- content: |-
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -477,7 +337,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_8yzd8bzr
+ tool_call_id: call_ap5dias1
model: gpt-oss
reasoning_effort: low
stream: false
@@ -520,7 +380,7 @@ interactions:
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headers:
content-length:
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+ - '853'
content-type:
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parsed_body:
@@ -528,23 +388,22 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: "**Sub‑questions**\n\n1. Who is Amira Bintang, the upstart candidate running in Jakarta's city election
- who is noted for her social‑activism background? \n2. What are the key social‑activism initiatives and community‑based
- projects that Amira Bintang has led or participated in prior to her candidacy? \n3. How does Amira Bintang’s
- social‑activism record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city
- election?"
- reasoning: 'We have answer: candidate is Amira Bintang. Need 3 sub_questions: clarify context? Maybe ask about background,
- activism, campaign platform. We''ll produce.'
+ content: "**Sub‑questions for the main query**\n\n1. Who is the upstart candidate in Jakarta’s most recent municipal
+ election who is recognized for his or her activism in social issues? \n2. What specific social‑activism initiatives
+ or causes has this Jakarta upstart candidate supported or led before entering the race? \n3. In which Jakarta
+ election cycle (year and election type) did this social‑activist candidate first run as an upstart contender,
+ and what were the key policy platforms highlighted during that campaign?"
+ reasoning: Now craft 3 sub_questions.
role: assistant
- created: 1766757513
- id: chatcmpl-194
+ created: 1766861919
+ id: chatcmpl-113
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 146
- prompt_tokens: 1338
- total_tokens: 1484
+ completion_tokens: 120
+ prompt_tokens: 1337
+ total_tokens: 1457
status:
code: 200
message: OK
@@ -557,7 +416,7 @@ interactions:
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- - '8737'
+ - '8716'
content-type:
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host:
@@ -597,14 +456,14 @@ interactions:
role: user
- content: |-
- We need to call gather_context on main question.
+ Need to call gather_context on main question.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Who is the upstart candidate in Jakarta''s election known for social activism?"}'
name: gather_context
- id: call_8yzd8bzr
+ id: call_ap5dias1
type: function
- content: |-
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -649,13 +508,12 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_8yzd8bzr
- - content: "\nWe have answer: candidate is Amira Bintang. Need 3 sub_questions: clarify context? Maybe ask about
- background, activism, campaign platform. We'll produce.\n\n\n**Sub‑questions**\n\n1. Who is Amira Bintang,
- the upstart candidate running in Jakarta's city election who is noted for her social‑activism background? \n2.
- What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated
- in prior to her candidacy? \n3. How does Amira Bintang’s social‑activism record influence her campaign platform
- and voter outreach strategies in the 2024 Jakarta city election?"
+ tool_call_id: call_ap5dias1
+ - content: "\nNow craft 3 sub_questions.\n\n\n**Sub‑questions for the main query**\n\n1. Who is the upstart
+ candidate in Jakarta’s most recent municipal election who is recognized for his or her activism in social issues?
+ \ \n2. What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race? \n3. In which Jakarta election cycle (year and election type) did this social‑activist candidate
+ first run as an upstart contender, and what were the key policy platforms highlighted during that campaign?"
role: assistant
- content: |-
1 validation error:
@@ -665,7 +523,7 @@ interactions:
"type": "json_invalid",
"loc": [],
"msg": "Invalid JSON: expected value at line 1 column 1",
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+ "input": "**Sub‑questions for the main query**\n\n1. Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her activism in social issues? \n2. What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before entering the race? \n3. In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as an upstart contender, and what were the key policy platforms highlighted during that campaign?"
}
]
```
@@ -714,7 +572,410 @@ interactions:
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headers:
content-length:
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+ - '971'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need to output JSON with sub_questions array.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"sub_questions":["Who is the upstart candidate in Jakarta’s most recent municipal election who
+ is recognized for his or her activism in social issues?","What specific social‑activism initiatives or causes
+ has this Jakarta upstart candidate supported or led before entering the race?","In which Jakarta election
+ cycle (year and election type) did this social‑activist candidate first run as an upstart contender, and what
+ were the key policy platforms highlighted during that campaign?"]}'
+ name: final_result
+ id: call_w4ivjef1
+ index: 0
+ type: function
+ created: 1766861924
+ id: chatcmpl-168
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
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+ prompt_tokens: 1630
+ total_tokens: 1752
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '2886'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her
+ activism in social issues?
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '599'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need search.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"upstart candidate Jakarta most recent municipal election activism social issues
+ upstart candidate Jakarta municipal election activism"}'
+ name: search_and_answer
+ id: call_zt1ymm3z
+ index: 0
+ type: function
+ created: 1766861927
+ id: chatcmpl-866
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 49
+ prompt_tokens: 627
+ total_tokens: 676
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '203'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - upstart candidate Jakarta most recent municipal election activism social issues upstart candidate Jakarta municipal
+ election activism
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 19
+ total_tokens: 19
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '8176'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her
+ activism in social issues?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"upstart candidate Jakarta most recent municipal election activism social issues
+ upstart candidate Jakarta municipal election activism"}'
+ name: search_and_answer
+ id: call_zt1ymm3z
+ type: function
+ - content: |-
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
+ Type: text
+ Content:
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
+ role: tool
+ tool_call_id: call_zt1ymm3z
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '734'
content-type:
- application/json
parsed_body:
@@ -722,21 +983,243 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: '{"sub_questions":["Who is Amira Bintang, the upstart candidate running in Jakarta''s city election who
- is noted for her social‑activism background?","What are the key social‑activism initiatives and community‑based
- projects that Amira Bintang has led or participated in prior to her candidacy?","How does Amira Bintang’s social‑activism
- record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city election?"]}'
- reasoning: Need to output JSON array of strings.
+ content: "- query: Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for
+ his or her activism in social issues? \n- answer: Amira Bintang is the upstart candidate in Jakarta’s most recent
+ municipal election known for her extensive social activism experience. \n- cited_chunks: [\"078e3946-2e57-49b8-9dfc-80932fb6deba\"]
+ \ \n- confidence: 0.90"
+ reasoning: 'Chunk provides answer: upstart candidate Amira Bintang.'
role: assistant
- created: 1766757516
- id: chatcmpl-585
+ created: 1766861934
+ id: chatcmpl-996
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 119
- prompt_tokens: 1657
- total_tokens: 1776
+ completion_tokens: 116
+ prompt_tokens: 1573
+ total_tokens: 1689
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '8793'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her
+ activism in social issues?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"upstart candidate Jakarta most recent municipal election activism social issues
+ upstart candidate Jakarta municipal election activism"}'
+ name: search_and_answer
+ id: call_zt1ymm3z
+ type: function
+ - content: |-
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
+ Type: text
+ Content:
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
+ role: tool
+ tool_call_id: call_zt1ymm3z
+ - content: "\nChunk provides answer: upstart candidate Amira Bintang.\n\n\n- query: Who is the upstart
+ candidate in Jakarta’s most recent municipal election who is recognized for his or her activism in social issues?
+ \ \n- answer: Amira Bintang is the upstart candidate in Jakarta’s most recent municipal election known for her extensive
+ social activism experience. \n- cited_chunks: [\"078e3946-2e57-49b8-9dfc-80932fb6deba\"] \n- confidence: 0.90"
+ role: assistant
+ - content: |-
+ Validation feedback:
+ Please include your response in a tool call.
+
+ Fix the errors and try again.
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '857'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need to output JSON via final_result.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"answer":"Amira Bintang is the upstart candidate in Jakarta’s most recent municipal election who
+ is recognized for her extensive social‑activism experience.","cited_chunks":["078e3946-2e57-49b8-9dfc-80932fb6deba"],"confidence":0.9,"query":"Who
+ is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her activism
+ in social issues?"}'
+ name: final_result
+ id: call_v9t3q24r
+ index: 0
+ type: function
+ created: 1766861939
+ id: chatcmpl-56
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 122
+ prompt_tokens: 1714
+ total_tokens: 1836
status:
code: 200
message: OK
@@ -802,8 +1285,8 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: Who is Amira Bintang, the upstart candidate running in Jakarta's city election who is noted for her social‑activism
- background?
+ - content: What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race?
role: user
model: gpt-oss
reasoning_effort: low
@@ -859,7 +1342,7 @@ interactions:
response:
headers:
content-length:
- - '548'
+ - '561'
content-type:
- application/json
parsed_body:
@@ -868,24 +1351,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need search.
+ reasoning: Need to search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang upstart candidate Jakarta city election social‑activism background"}'
+ arguments: '{"limit":5,"query":"Jakarta upstart candidate social activism initiatives supported led before entering
+ the race"}'
name: search_and_answer
- id: call_8wpn66jd
+ id: call_7b3pic94
index: 0
type: function
- created: 1766757518
- id: chatcmpl-906
+ created: 1766861941
+ id: chatcmpl-401
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 46
- prompt_tokens: 631
- total_tokens: 677
+ prompt_tokens: 625
+ total_tokens: 671
status:
code: 200
message: OK
@@ -898,7 +1382,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '152'
+ - '162'
content-type:
- application/json
host:
@@ -907,7 +1391,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - Amira Bintang upstart candidate Jakarta city election social‑activism background
+ - Jakarta upstart candidate social activism initiatives supported led before entering the race
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -918,14 +1402,14 @@ interactions:
- chunked
parsed_body:
data:
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
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 17
- total_tokens: 17
+ prompt_tokens: 15
+ total_tokens: 15
status:
code: 200
message: OK
@@ -938,7 +1422,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '8122'
+ - '8135'
content-type:
- application/json
host:
@@ -991,22 +1475,23 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: Who is Amira Bintang, the upstart candidate running in Jakarta's city election who is noted for her social‑activism
- background?
+ - content: What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race?
role: user
- content: |-
- Need search.
+ Need to search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang upstart candidate Jakarta city election social‑activism background"}'
+ arguments: '{"limit":5,"query":"Jakarta upstart candidate social activism initiatives supported led before entering
+ the race"}'
name: search_and_answer
- id: call_8wpn66jd
+ id: call_7b3pic94
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1051,7 +1536,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_8wpn66jd
+ tool_call_id: call_7b3pic94
model: gpt-oss
reasoning_effort: low
stream: false
@@ -1106,7 +1591,7 @@ interactions:
response:
headers:
content-length:
- - '572'
+ - '540'
content-type:
- application/json
parsed_body:
@@ -1115,24 +1600,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need background. Probably from other source. Search again?
+ reasoning: Need more specific.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism background Jakarta candidate"}'
+ arguments: '{"limit":5,"query":"Amira Bintang social activism initiatives led before Jakarta race"}'
name: search_and_answer
- id: call_7sdogmet
+ id: call_t6cf6ij8
index: 0
type: function
- created: 1766757521
- id: chatcmpl-841
+ created: 1766861946
+ id: chatcmpl-376
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 48
- prompt_tokens: 1578
- total_tokens: 1626
+ completion_tokens: 43
+ prompt_tokens: 1568
+ total_tokens: 1611
status:
code: 200
message: OK
@@ -1145,7 +1630,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '128'
+ - '135'
content-type:
- application/json
host:
@@ -1154,7 +1639,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - Amira Bintang social activism background Jakarta candidate
+ - Amira Bintang social activism initiatives led before Jakarta race
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -1165,14 +1650,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 11
- total_tokens: 11
+ prompt_tokens: 13
+ total_tokens: 13
status:
code: 200
message: OK
@@ -1185,7 +1670,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '13383'
+ - '13364'
content-type:
- application/json
host:
@@ -1238,22 +1723,23 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: Who is Amira Bintang, the upstart candidate running in Jakarta's city election who is noted for her social‑activism
- background?
+ - content: What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race?
role: user
- content: |-
- Need search.
+ Need to search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang upstart candidate Jakarta city election social‑activism background"}'
+ arguments: '{"limit":5,"query":"Jakarta upstart candidate social activism initiatives supported led before entering
+ the race"}'
name: search_and_answer
- id: call_8wpn66jd
+ id: call_7b3pic94
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1298,20 +1784,20 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_8wpn66jd
+ tool_call_id: call_7b3pic94
- content: |-
- Need background. Probably from other source. Search again?
+ Need more specific.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism background Jakarta candidate"}'
+ arguments: '{"limit":5,"query":"Amira Bintang social activism initiatives led before Jakarta race"}'
name: search_and_answer
- id: call_7sdogmet
+ id: call_t6cf6ij8
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1356,7 +1842,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_7sdogmet
+ tool_call_id: call_t6cf6ij8
model: gpt-oss
reasoning_effort: low
stream: false
@@ -1411,7 +1897,7 @@ interactions:
response:
headers:
content-length:
- - '602'
+ - '466'
content-type:
- application/json
parsed_body:
@@ -1419,19 +1905,18 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that
- she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is
- no additional biographical detail or background information from the available documents.
+ content: I’m sorry, but I couldn’t find any reliable information on specific social‑activism initiatives or causes
+ that the Jakarta candidate has supported or led before the campaign.
role: assistant
- created: 1766757524
- id: chatcmpl-456
+ created: 1766861949
+ id: chatcmpl-782
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 62
- prompt_tokens: 2527
- total_tokens: 2589
+ completion_tokens: 37
+ prompt_tokens: 2508
+ total_tokens: 2545
status:
code: 200
message: OK
@@ -1444,7 +1929,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '13861'
+ - '13706'
content-type:
- application/json
host:
@@ -1497,22 +1982,23 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: Who is Amira Bintang, the upstart candidate running in Jakarta's city election who is noted for her social‑activism
- background?
+ - content: What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race?
role: user
- content: |-
- Need search.
+ Need to search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang upstart candidate Jakarta city election social‑activism background"}'
+ arguments: '{"limit":5,"query":"Jakarta upstart candidate social activism initiatives supported led before entering
+ the race"}'
name: search_and_answer
- id: call_8wpn66jd
+ id: call_7b3pic94
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1557,20 +2043,20 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_8wpn66jd
+ tool_call_id: call_7b3pic94
- content: |-
- Need background. Probably from other source. Search again?
+ Need more specific.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism background Jakarta candidate"}'
+ arguments: '{"limit":5,"query":"Amira Bintang social activism initiatives led before Jakarta race"}'
name: search_and_answer
- id: call_7sdogmet
+ id: call_t6cf6ij8
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -1615,10 +2101,9 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_7sdogmet
- - content: I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that she
- is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is no additional
- biographical detail or background information from the available documents.
+ tool_call_id: call_t6cf6ij8
+ - content: I’m sorry, but I couldn’t find any reliable information on specific social‑activism initiatives or causes
+ that the Jakarta candidate has supported or led before the campaign.
role: assistant
- content: |-
Validation feedback:
@@ -1680,7 +2165,7 @@ interactions:
response:
headers:
content-length:
- - '1014'
+ - '862'
content-type:
- application/json
parsed_body:
@@ -1689,28 +2174,27 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to use function final_result.
+ reasoning: Need to provide final_result tool call.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief
- mention that she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election.
- There is no additional biographical detail or background information from the available documents.","cited_chunks":["5c97385f-6ea3-4d49-8da1-c5e5211b4e5c"],"confidence":0.35,"query":"Who
- is Amira Bintang the upstart candidate running in Jakarta''s city election who is noted for her social‑activism
- background?"}'
+ arguments: '{"answer":"I couldn’t locate specific social‑activism initiatives or causes that the Jakarta candidate
+ has supported or led before running for office. The searched documents did not contain that information.","cited_chunks":[],"confidence":0,"query":"What
+ specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before
+ entering the race?"}'
name: final_result
- id: call_1cdm9cxw
+ id: call_teha0hol
index: 0
type: function
- created: 1766757528
- id: chatcmpl-531
+ created: 1766861953
+ id: chatcmpl-14
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 156
- prompt_tokens: 2614
- total_tokens: 2770
+ completion_tokens: 101
+ prompt_tokens: 2570
+ total_tokens: 2671
status:
code: 200
message: OK
@@ -1723,7 +2207,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2901'
+ - '2953'
content-type:
- application/json
host:
@@ -1776,8 +2260,8 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated
- in prior to her candidacy?
+ - content: In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as
+ an upstart contender, and what were the key policy platforms highlighted during that campaign?
role: user
model: gpt-oss
reasoning_effort: low
@@ -1833,7 +2317,7 @@ interactions:
response:
headers:
content-length:
- - '565'
+ - '601'
content-type:
- application/json
parsed_body:
@@ -1842,25 +2326,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to search.
+ reasoning: Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social‑activism initiatives community‑based projects prior to
- her candidacy"}'
+ arguments: '{"limit":5,"query":"social activist candidate first run upstart contender Jakarta election cycle
+ key policy platforms highlighted campaign Jakarta election"}'
name: search_and_answer
- id: call_cvaocydv
+ id: call_fuscbr8h
index: 0
type: function
- created: 1766757529
- id: chatcmpl-977
+ created: 1766861955
+ id: chatcmpl-689
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 51
- prompt_tokens: 633
- total_tokens: 684
+ completion_tokens: 49
+ prompt_tokens: 640
+ total_tokens: 689
status:
code: 200
message: OK
@@ -1873,7 +2357,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '163'
+ - '205'
content-type:
- application/json
host:
@@ -1882,7 +2366,8 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - Amira Bintang social‑activism initiatives community‑based projects prior to her candidacy
+ - social activist candidate first run upstart contender Jakarta election cycle key policy platforms highlighted campaign
+ Jakarta election
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -1893,7 +2378,7 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: OkDWuTAr5zx6Cfu8r62iPB1ox7p7NT898bIIvD+zWj1n9EY8q3/GuyuNkz3SPwu8U7mnOwmABb1TM7w7SgT6vAkSVLw3sA+9M0b4uq0IQznpV0O7a0bKOlgsoz1d2LU87naNPHmsHL3K6qW8LOZYva38QDz+6aw7KP2RvcgwyrzeZJy8jGWqO3Me+jsJ4f279qsWvBTfZrsXyr88/+YcPOBllDxlxeK7zun+O35PH7xdv0Q84oVsO+momzorn/w7dN5HPOOLxbznoIw8Hd5yusGrEL1GbQK9p26avKeBQj0GZG88Sj4/vAAazbxlNTm8Yp5KPD96FTwCibC8T7eqvO3/JbuZYI28tlEsvVlt17xCeHQ6U6hxPNQI/7wtxNM8m+WMO08taLyd6yG7mOKyvPk6CrxzdRE9/8kaPNCR3zuCh0U8l8OLPJQQBDxpjNg8eMIBPH+HtruIiS27sjUhu6WmBr2K44u85Ax9O2yBJ7zrjuo7SMUHPcfaGjtwxIw8lg38O7VOEr3YTOK85qVOPKvHHjxKpoy7g92ePKrTJ7tTcvc8jgibvKdu4ryYvxE7dy6JvODXaroQdDG6GEFXO2P95DyLkgS9S0YPO0D4izyBKoa5oqWivKNtOTxxxO07uhNCvMlCmjwmWzA8St/1ugGv0LyiqcQ8q0YSOm5AWrymKfq764GsPBiadLrldNS8g/fAvD1gi7yoMR2811mWO8FO1jz8flW8cDyovB54oDxB+IC6gtPqO3D5ETw79oA7Iy6ku2tabr13X7u53Z6GOwO7CzwEma08PV6YPC0lVzuTACM8mIbqPENwpbzT2mM7iqrIvOACrjp8L9Y8sUpzO6dVR7rXf5M84tgHvWqiLzypmHm895LjOxMYDrzriaE7YFzEvG1ELDzqi3E8ljtvvOlKBrwbbWO8XlXFvDeimjxm7Iq8dao3vB5jzbySBe47f/AsvFxgvbw9UiM8Pk4OvCMaEDwLqGq8EAq6uyqMPjySACu7xhUiu9RGRr2yABK9PRWxO5X+bzwRcta7M7QHvIL6rbxDhRG9pAaOPD4+tjz3IYg8jySNPKtOVLu1Qoy6m1CWvP7yG7wkcK+7m0hsO4OgK7wksBi9ufqKOdigprw8FTK8EMM/u0VyP7v0TIU707CfvGHzi7wBto48E5rkPE5JgzvBxXi7IHW8vOnJhzw0rbS8/fofPLUgDbwoh2s8pY/suwsUaTwv32Y8++1JPI0qx7vRTou7w8F3PObJmLyoDxi7vaCXuzxFDD1p09a8xAMUvcKnaLxp0bU8oVXrOiIbYDzhVx69r9KLO8k9bDklpCU8DaokvP8Wjbw++ow7ABalPH+7aLyXhae8PRVOu3mQurw74cU8T46KuizdGD3CQRM8pCGMPJciWbvncpi7M/aBPKUNmju3LVk9LFcKPMpTvjwAb728WbHiPIS6Wbx/LRK85/PWOgclarzaQkc8XrOVvBfBFzx1Hp08EhuWPDGQrrxwRos7gXTHOby1Szu/FnM8PUF2vGhMFz2fOIS74Bw8vO+d2zxR8MM89yjPPLTdPzvrryK8US12Ok1K4rwGIJU89a2BOwo5czvOmAC9SWfeO75cWLxm4Pc7hJt7vQRCijyNIN472W4svL3LhTf+u4c8zre7uTFNo7ykwrc75zntOhm7RjzkghO9RJ/evCR807v/IPc7kwcnvXistbyeIWu7SLVRvYHRkzzqce87fcavurYLbTxlLl48Fz1RPL4dOD0CUhM9x0guvHYZIzxei1E8NQqHu57+lDxMO9i8kTXHu2kCZD1j8zW8GCimuyx7+LuovBw8f11bPM5YrrtT/rO7ZYufPOhG3LrC0qw6u7ZAva0i/rw8NR+96d+bvGIqvrzSyRy9eyulOz3H8Tst5QK7SVL3Oh5iNjyk/IG7sOQtvLCGDD358+A71C8fu35WhrtdEay7e8tNPDEgzTzk2Os8/ypzvMd12Dvjj7a8XAgQPRUXGbzv4n+76jrFvBUgkTwBkhm8bSYbPL8GPzzbcJQ8Nmn4u49OkLwtf5c8FlwyPKXajbrJ0wO9ZWUIvG7Y1zoKSJI6cOwZPKHYnryVJWA7qdSkux/CobwCdMa7LJiJPLOH3bxJzeY7JUgWvfPBQLpC69a8RheIvGD/0jtmBc+7iQwdPHuYR7zy/xU9MDbtPNt0pbv1w608himmPKUZAzxfx488H0Tyu8qx2DtPMME8zxkGvd2tlrxf/zY8aWNevVSk2zuZR7O8IH74PJnh4LvcdY88CifUO6pzCLzo1Vu8Owqcux2mv7wtEdg7ePWbvDPE2Dz2/q+7+Z4APSGvODwWTiE8BAXNvH0qp7zj5cS7tFnaPPAR3DxO1PQ8VfUcvdzwaLprhLQ7mQy4PFkYgrxcjOo729I6vCEbjTsjXZA6x16LvFoyKDw1Srw4ea6zPDwxXjsuDvu75xrxPNdGsby16Hs8r2z2PO2gIL16lRm9jj0GvVtS17w1CwG8g/uRvKIEzDqKqBG9z3FIvIByL7zXcEa8Ode/POQ19bt6CTu8si/HPN4l9DuxB4E85dqQOygVhbyMnTy8LSpRvLGKaTvozAg9D7i3PKkF77tJW708zR3rPPT4WLz8j/078aeuvJL1Er1lNI07slSWvFEoizsF8P+8OVjPPPjS+jyadg29cTpgvKwmQry7oRu7RViOvBTKwDymNDc9t8hkvOmourwHgfw8MDJXvDQc1Tyn2h2878IOvcr5Ybv4k/G8N2KVO09plrtD2LK8rfjHOwQdeLzMKqc72/8WvGxMsLzkEZc8NqaBPK7i0zzkt7a8HqD/PEDsfLtOOk29TvgnPfPdkjuGdzC8tZY1vCPBRzt9Svu8feOOPJcvVDywIw87FuKevJ4Zo7p6HZW8fwvGPKlfWDt5Dx48gk8cvFxuODt0Yxu8PczHPOcIIz3HdKM8piD0OqA7mrxmnPg8MhkCOxERwzsVrBm7gf4evHpBszxhYaS8Iq13u7gkBbyzXkq86RK4PGwpBTs5KxQ8DeLXPKtiODyoC788FBkUvX9AUzvR/fe7uJ6bO7hTFLx/SQa9Ar4+vTwhhbzRn+y8nKg7u3jbOryp5pw8YPuOPGtApDv8tvK7eWM2PJVycbxcRYo7hXbJvAsjBTxDISi9RrbuPJgw9rxEDp07KBEmPDO1b734pEo9BC8PvXrQWrzMN0e8FBXFPNl+tjjgOFy8gNzaPOuqT7voPYC8a+vCu5ut7DtYqgu9eMEzPG54RLylMFE77UsjPNpfIrzJQc480AKjO4erC7zK5AY7GISsvEdqCb33vJq8IUC/vEZNyLvdOS+9hwFFOzxJBr0vGaY8DWqzOzcad7yz9a28seo1vbsDCDvUur67wlQYvcHXIbxVHxy8JbgvveaIRzxUWlG8W4fcu7yqhLpDRa47XN8Uu983YbwJgpA8X+E+vdgYYrwEGMK7SB24PERqiTx/bLK7JMovPFMk1Dv925i8hqrlO/9eJDxE/647kXecvJBVyTsrm9I8vV4fPYj8Srx5wh+66wAFPJAsjL0yHOy8eJTTvM+pvztaNG097N30O6xNprtep9G8lztzPOBtYbxSvQI8DaeAu0XW0jxikzm8Ur7Ku8w/cryoSSk8M+XMvEbABT2tbDY8Fo4iO9SCnjvSD468W2IAvUBKS7zBe6c8cKjgO9R7Nzwh59k8JC7WPMlw5zwlosu6V1bFO04M9bqAe8S81VqwO5jHobtBMFI7vLHau8F73buvcQW9H0yZPCYg5rtbnzo8D9oTPBTeVj39dsQ8zu0bvFhKIbzUDx29FTHOOJRsE7yfw1u9kfiHvHhCG7wVwFw89LvsPKKGE7zNgI68SRReuyxq+DuELug7MC/CO00BqTuEAgS9Moi3O3RPSry5Y8k8J17quqZmUjzSvS+9uYosPU753LyXIIo81z62vMgckLuaHCg51vkfvYtSOjyvivA86V0Mva5aFDoKQC+8y7Y4vS9IqDwewoW8RdsWu5UhO7xuxcw70QNZPOww2zuTzCk8+Qutu5o8RTyaI5o8SlyrOwxX8roG/bo8ZoQBPFAIEL1zIma7FB2yOprHsjz+XOY8KUGQvWp3Fzwaow29OznDO9RRsDzcPRm7MuJ0PPl0mryzMqy8t2+5vBrfVT3dZga7uOebPOl+YbyCtIO7SVIIu0yPNTtuis+8QplivU52YbxVuik85nhHPEwBJT3up5089u7qvFMh4byIeAm9Vf6+vDssiTyyblI8JPS1vDMdHbx+EB28BZ47vYebBLz6E707DwDqO1z3Gryhzvo7FOAXPI9+ezyBLtQ7jvvEu+4QCr2paJq8qygZPB30qTw1Jry8OK2bum2phTzo1qI7UzrXPPWdVDxSU9A8KVgyvW/kmLyNvE06mKNVu6+EIj3M4b282aUavMxRSbyp6hG9njqxOy9vOjlKoDC835aLu4c4FruTTw68xfy8vGMSAL2+pA49oZAtvEfrbLs7YbU8hr/OvKVZvjuT+rQ8jSMtPHjaazzf2To8uGxBO9WDED0Ehmo9i58QvOkQyTx0d487CVR4PIv/gDxKvAe8Yd8SPXr6QTzAmAQ8tEgCvTbYuTwYCcQ7azQ/PRR0v7sLjQ08YKLkvH59AbuT/C+8aIhbPIixED3EJV68TKpGO2uNNTv6Md+6KQeTPC/SBD12fGa6KEldPIN7Dz093488pDguPUrPpTvDj4K8VC9NPJ4+UjxjFJy8RSmMPFCMCbtpwBA8RQXNPFJfB7yuL8M8gpT7PEULirzaPi28gVCNvEnvCTycMxy9OxhJPHCyJbz42f27C4A7O6T+g7wmLSk9xIAaPNF5UbxhY0a8lC9FPKA8wrzTLle78SiQPBj9tbvJdIi8KrEVPO5UmLtCp1w9CSnkvEAStLuEnNY8QVDCPG4qkbwaiZ68bQAYvIZ0MLyFpvO7I1j+PKSacrygK5C735mjvL6djzxZeGa8bPm6vGxjKjyalG+84e0lPS7xPbzij+i7UEkxPPilIr0juEg6rdEaPfuIJD0h6nM8ebtvOiae6jtehNG7555UPOJjhT1FgMq7eSR0O/3oabzmAMo6FqjiPPA7RbxZNTU6ghQsPDkRZDzBHQc93YRIvfYF4LtYsOo8w4dCO0F+2LvL/li9K/acu8B7yTwfMyq7DLdzuszGWLyntZ27oDzWu2A+pLxFmfC78k0jPKLS/Dyje4c8XXD7PDmbpzuBfai8dA/RO7nkAjxCLci7G7xMPDa7/7wXBOu8c+nsuzt7FDwmcrS89phDPHxrejw6yAS7UmOLPGi+jroV+nE8oDaevKuHtDxWRjQ9+2tPvGYuZrtHsss78gPVuRJw7rwgZ+27ZIzEvHLq3brVytS8wbrAPEh40btJees83vYBO1JIYTzq1/67XFw6vbaJAT3IyH07+k1FuwR/lbyIaNk7K7kFvdELQTsVnbO8nYEKPLJUmzw6L4C89Ts5O31R/7rr/SY8CpUjPBlAWTwoj3+75jpZOx2KXDzt3L48NG6RvAT/LbxQC848vkcRvE5rrrwmTIG8d2tEPBtjgzk99sq8qDtKvWK2r7yvx7Q89V/bu1HLRbyA0Pw7cOa+O3R3hzyijRg8kUOlPEu6KjtizWc67nCGvHq6UDxm5ZO7FogSPRZCDru9i1k7zfIsPJ51y7yT15y8maKUvPfMojx8WS29t0qcvDP/IrpbHwG9Zio9u29Mfry0RYq8VRLFPPvyBbtKtMm8QfBnPINtJDyWkji9c77xui1AV7wAD628snyOvGwMsTxmnHO7fx5evBP2I7sUHZG7DZAevLdg+zwr75a849SavAnwvDxJGjU9CQCQOtisl7pl6LU7BkM+PJriULzck/a8W9jevMHjWbznQQK8LxxvOw0+U73tB5O8VaTrPDlnnrsGT7o8rfzZu+XZrjzsdVi8h2ZQuzsiuTunfYg8oOZQvA1XGD3zIpm87ULXu3UrWbxtCRk88jQMvWbAtLwH6Kw6delTPMQDRDw2nqW82kNzvAVKi7wq7As8H8QIPcr2Kzxtlck810tzPBpLH7wh4j87M3feO4dnXrzUpBs9/AQxPAZuHz14Ome8oT9mvGYQYLxW02E9c72GO/lfjDxavAg7RrWnPN3pfbvdAzO8QG6mO/2QWTveBVK8RNvMPNx6qDy6aOQ8GLWmvATtUDwF/Gq86isiPO4qPT0/FN65vWMhvf4on7ztvLC8DvJ4POCeiby5cvg7FSlmvELm/7w75Ro8Zcy3PL/gmLsreg08WhsPO8QDTbuyhbq7JNOHvP3RVToMiL+8IZmOPAWl3Dw7NyI7VL3bPD1YQjuVDDE8UuT7vJZaV73cRvA8psWkPNHL+LsCTnM9OH0FPGS1Fr3/HPU7UG9KPDsWw7wUrCw8KK8XPZ+jg7xJv0U5IEzYPGIHTDyQg0w8nEbAO/Pj9jxzHba8Xx/WO7H8eTzoFiE8tNC9O3xz+jzKzha8CRwuPN4c+boGf0u72vJEO7VQALys+Jq7Ay2PPMbz+bsTJLW8iy22vMfyHLxIYmO812XkPJQYtLvnQrG6YaCUPLZmq7plL8k7xQQCPPg7zLz8fFa6MFKvPFT+prxWwbS8eKb1uzZTnjwPh+g8+4+Au0DZSbvpHZk7mNrvPMMleLsW+e08QEk/vXFb4bzQCNA706y6uwsxEj324hC95LvBvGw8mDtZv4A8LsgfvDQf7ToaNvI8mk2MO8U3oby2HNk7ltMeOjQWgTzj0Iy8tW6VPPbSi7ze4d48AcgqPM0r7Lvhok48NpORPGJdizw7Wt05k0bUOi+wsTxpsQe9nyjzO7eoV7wxVcg7biKIPLZrxTwUEsy8FOeqPJ8YabySBtW87Y8dvDn8/rxxz7W86dPlvAT2ETzvrLS8EWStvDs3krwd2RO8RlCQuxYqFzx+Vt88nnFPuiYomryWxY280oY5vKpRtLypB9m874YMvcJQ/TzUAgE9KJDnuzcwgLyPRrg8ySgIvJINJbxs+Ru8WmexOltGqLu2lwK8vOoCvDZJe7yjlHs88ULzvDBpmjtD+e08qiktvD0sVzsdAPq8HvQqO9s/yryCRum87MlQvMVeSzvSfKw7HJbxvFx/mrz61iY8eCJmPKCNsTx195I8jfbSPIin3LzxbSK8C82WPIvGSLwQ+tu5kANxPEp6cDyCRGK8czsmOzbBLbxR9RS9q9SrOOY5ZbxYVi882ZCGPMm0wjxtcNw7INIWPJDCCr1MGLE8x+plO3TToLt1Xci8zy8BPd5KvbwtNy2965liPPnZSzy7D/C5pBZmPLJ7xDydp4y6VrcsPcon2btu/i084WHVPLZkuDz9PhY8w8tDvDCtTrtfAYe8fDSwO+IHjbyGP0Q8c7poPBr9kzz9vAA9PxIgvVWIaT2lwO48wHQKPRXEZzuLt5i78hF6vGwM9zwqCtK8mIVnPMwFnDzIVd86ioZNvLaBhzzsa1C631mDO9HnFrxrfgY8kmk0Ojkr6ztIpqQ8KHcfvYidmbxGTf47trgXvXgTjDznire8MyX4u5z8SjyAsaU6MTeWO3BxtbyyfJq8rltXvG190bx+GcQ7pU3DPKWE/7tBitO7hL6+vFFSKbwAS7O7ACpVu8dOiLzvTcQ6NZDbu41DnLwWBHm8FsZLvD8YXzxEFtQ6gKr3PPe+xjyB//c80SupvKGSb7zAwwo7guj/O2UGmbyhEao8wZorOo5Br7yEA1483mimvB5Tw7wgXG28+ImVO3TFRDotK7K8oLOoPM+hjjwyIMg6cfUzPDORqbySbiC8ZQDbu1OY1jtC+L881KfdPO13ATvvgje9DSkDvOhMiTrDmYm8UozHvMP05DpiVcU6b6ImOwRv5Lx6QEY7fTQFPXsyHbxAZOG8+t7LvKOvbbwLgsM8Dgk4vNEod7wl0i+9yb5CvMKN/7wFGOi8u9e6uheuFbsmo1i8NFuGO047hbsfsAG8+igbPdw5lbsZH+S8TRakvFfDKT3Zrbi80oSJPEoigLszd8s6m9XBPGXo/DwTLoC8dJKoPMFWm7xMOwA9MLO+PEqPNTz+JXw8fC63PEevhDx3/Ik6kH5hPC09NDxYBp87OlmjuyGDYzzuiYs7cKI+vAybWr1tJKs7odDZPAV/CzlZcgI9IHAPPYlKj7o6sFk86fuuvNVePTxgEbs72jqePN7Z47wMpS88w7O7vPGnhjvdaBK82tHdO3v82bkO59s7FreWu9Sf17wlTJa8CocwPPY3CDyk9Sg9lEMOPAIp97vF+VU8NNjJvHEixTwhewk9amAPvZhNkzrl37i8iV3hPFiTjDypPwY8JxWqvNvTGLynazy8jt7RO/pHjjwxjmO8Ui3UPNaXCD32li48thqpvAYoK72/SUa8zjL8O6PDCz0F4oS8sayAPKOBvDw5vco8/2PyPMS6hjylLqc7tYO6Of7OHDsRoX28vCXHPHtZuzt3Wj888mdDOiydKTwQA7G8GI0OvBDWJzscShU8uecgvORvKL0JIc86SBzEPE4AuDprbgA7+ioFPJM2nbx0Jnu8svmrPJSnzzwMGB47IVnZO9XZ1zvxM8878OzouTfBrTzym9486lP4O21a97tM6cu8327lu1IVubsw4dC6xK2RPAjYXbv5Bs07pk8gPJsnNz3QAIY7waEYvAY+h7xEYgc8XjFLPAPkMr1PofC6FmpvusBSw7wrJVe8ZVr/PFyWLzu1ARO9OGcjvFw7QryWwlG8sZqlvLd+Jby/ciK9hDAMPYF6lTuA86Y5xzOGvLuRyrwQhL68RA3APPn4ULwwrda8IvadPMQp7TrWLjo8e9q7PJ2BWbwecqY8WYuHvOEj07xPsMG8xJawPExod7uoOry7VTUOPQ0FEbxzGaO8lo2Wu7MPEDxOGcq6jjl5uycEcTsId2c8rZ8OvSTmpDzOwcU8dt1tvKojmLw/AE68wiUwPPAhQ70B97o7oVI1vaR+RbyFEnU7XAcHPFVjrrwYg128PwmkvHmxBT2vyDc89KS1PPD0Cj0ouAw9dZ8JvIh4yTyO5zW7UJ9zOpEY+TrjoSK8BHKeuktgCD177k683tzfvJc26LsFFVY8QcPtOz7h8TvCdgy9CekZu+s1iToy7YG8SAK8OjAijjzCLpS8fsxWu3CAs7sSgrY7Wh+GOQuKSTtdcU+7aC6hPDFQVroxtIq8sw3bu74UuTxyI4G8SZjNPHrpQT1VHNo8xUdSushE9jw7THA8ChmwPNWHNz2O3sq7uMg8vNZ65rzLvIW79CYFPXzHu7vIEve76oO4PIw1+jhytgK9r0aYO62TGLzVXBK8K3c6utC0XDw//eQ8Xk8SPGL8r7oSlA+915LAvAHYujyGIBu9X4z4PFUKkbxx+Fk9bvMXO/8uRLwUqCs7faUFvP2l6LwItQ+6heVcvPo99bw5pxG8mNYrPOFpRLwYbYi8Ix45usa+zbtyTAe7AY28PEQV9juHVoq889Lvu/HMgzy+IsQ69S5avCds97voeRG8K3mavIT3+Ty6eWM8eLfAO5zNlrwGnbO76mLqO1QqDDyDr3i8Uf+YPHozZLxma7E7Fh0yvLgMDrzPMk29MSelOe3VM7t2pg08Frh3PG43yLwh4tM83pgVvZJpAj2RoxO98x3gvIR8ojzZYnw6zNjvvBc7LTyIwtM5Xk+CO2E5njxdkSu8NUG+PPBwPrwkzbA8ocSfvCEGarnIb4u8J6KivAkMTbrsHCm8cALqvMOpELxMiOY8YY9ZPPMdLbzfCFy7CEmSvJ9BSLxDK+u733auvJmXBrz4qTy8rSt5PB2bIbsJwkU9Tqj5OkEIrjt6Eu27j9K5vMz34bsKVtK7Am21PAY9fLw4DSo8y/mJvHXC6jz4KPE8NnHfvGnLfjsQ7Pw6TEWrvDXdILtVPRG8s8zOPNgUSjynWpc8mux9u4hHxDzF99s8GQ6QOwKlnLzCUdo8t83ru7I0hrxdqqm8uoyRu3qyR7zX9Qw810eOvPSHLL0s/6o6vbnBPLr9xjxMZ0E7ApL7POApmjxG8Mi8l6DNPEMg3Tt8hqw8hOzgPDjal7xPV7y8it8YPchETzw7g7677bbEvAtDGzwgVQU8nmVQvP8ZD72UW527SstRvL9T/DwYme67TJA7PH+U/7v4L6g8P/sYvW5aqLxzlSe82zSnPCXadLyUxn48HTThvB3hYLxPLi08y0aSPBEYArzmNSY95awyvIEZHT0Em7I7ijFJvBD6yjxbz8W8i427vFymAzwsQTM8foFLPDZelDphX/s8J7nGvPkR3LwtsK28LuquuyRUyjvzOFG8HI/gPJZGdbzXXAi9I/wYvC9/jjltxFG8WBMnPOpq+bx0Lym90KFzPGqV4TseKl68PGUmPGBVu7xGYxm8LmjiPKP2+jwa/+o7ntOjvOZLn7xnrwC9R9nUOzkzqLs3HEM8HVk3vFFiarzdBpe8CW/vO7IuP7s0Wr887Q+8vOaVOLz0CaM8y1s0vLlzljwUnX69vdoPPRu1bTxuVz48xjidPGPVUDxkmkK71RGZvER6gDxmT1i8WxFRvOu/nTyAfHC8Q9WlOwPLh7yL+/S89bTtu6+8JzzaycC7Z1gAPQnzgLzUXJS8fOrPPHtoZ7x0p6S8/ji9ulc3Bju78EU8z7rgvN/yeDvcQBM9sdt8OzC5BrucXT08hrCwuxBnwTtKIuI84eMeva5QAb2lgZw8Xta3PPfEcrzfaxK96e54PP6f57vHDUc8BxQIvJz2Sbw1dQU9vR7suwvO+bnjxVw8snAIuxdqO7tQGAW96sANPAB5KbxzR4o8nETfvLbnQrz3/jC8288JPK3gIDtaGV67iVpHvLP8EzpNkMe8U/cJPVVTALxPHJg70zDrO46n2DsPh588KUjIvJX9HzzhEGq8RScjPIbSkzzPIam8/8q0O1XHQ7xIjaO7eUqEuHQJoTuEYek7qxKzu/6ODrz+twK8iBoqvLzSpzwc0iM7XWwkvRS6AD2LjMi8ObXeOwwvmDvGAzC9uX8+vFR8jDy+Dwo9RyeKuo7Rkrw+3+u8jtY5vSnhGjz9+Rq9HxaEvO4olruOzlq7Xct9uqr73rtT/BO9rVfEvHlQpLzgP+G8UHFWO7KqILxTsSO8b2aRvCOjRrwrxsC7jntKvEZrxzqSfiw7iDP1PPgsoTyXPjA7txF1vNusmTy2BwO87aS0O3xklDyoIay8i+8lvHoHWrw8K7m89RFxvCr7TbwUjn28QyETPTxk2Dx5uIa6OGWvOTLE6Lxaow48wlSuPI1NjTu+ZoC76IjoObxjb7sONfG7/uZ+vG71Q7sBu6s7Md++OlbmCb3fBL889GuPO6lqh7xuOQ49VeXqPAdK5blce1w8nbSBvDaEKbp8yXm8pEzKO/IO4jzpppQ7NQ2pO6AiaLzAq+W7rR0EuzlKizmM2pe8AlX2PBSNCTuWZBk8ODuLPF7DBD3ITq47rUw/PEh3hTyrXUa7CzdsvKch+jk0Cxg9hdX+PDIbI7tj9HE647i7PFCEDr3MUhg9uU+nPEhXQzyNQx28JbIXvC9FSDxnfi69jYx4vOJonjt7IFg8GyccvZ3OWjyNr2O8r0VLu3p+gjieegS7YMHWux+3Z7sYmLc6+AkBPXoMQzyZwb88aIt6PIDCHb2Kszs8L24TvC55yjwxBIG7VEgXvAl/WD207uI8ZAvzvDxE+bxMbr882TkxvL9DUTyy+s07WhW6PPPnWLqPshi83g12PCbqPrwxqsw8YYyju5QcwTunkIA8JIOqvP+sSzz0rMm8jWMevIUZlbosDRa9KXr7O6HI5ryL/qM7mRZiOop/+zxh8ca7WLMeu0eOhjzR8ai8MHuYOuBjG72wuj48tzq+vGGnvLtFFXy8g7aTuqfBpjwDqKm8jCFrOS/QGzyRxIa8srToPGkodr0EEIO8OPgUPH5Szrzycv46SGrAu+XxUTxINB47DugbvPjyCr3vBls8S6a9PAOycLw/Igm95BCwvOi4LjyhrhQ8tcIfvCwIbrnSHRO85xGMvJHUoTzzatg7f+eXPOu02Tx0X4G8FPHzOsugD7yh7J07LdqovK6fgDvKYta8pgJ5vHBTDjtLk6q8IAwHvetl7TuYtNy8AJSAuzpKITzIkkw8R9pZPMB5ezywOgu9g/5WvHQ4VTxjJyi8re7ovBmatLuq+wQ7BYpxO+POFDxYLmi8KtUBuveWnryDerC87rbPO70BPTzg1SA9rW6bvGqkzjzX9Aw8ZhCKugroU7xSkIs7LmjSO5kLpjw4KBU8vDL7PJuHGDz1snE8DPwGvUFBKj1/5oq8NIV6vAmm87xjgYq8cBLVPL+PHrw87wG95AQBPMyhMbzzeqA8rJAqvCQ2eLwPXjU93WlEvCbtZDyn/gg9AMU5PIRHtLzWFG87cbyLu1cUWjyrkwy8JarvOszUrztcoca8JqzRvF6ysjyG+xW8qZfCvJW8vzyJRIw8DRTxvM3gXTwjmRI8wFabO9ZWvDzQge28G5Zju3B337qscoi8dNiLvNiEu7vpMbG8btM6PdYkUr3eNji8PFHSu6XBEzyd3oW74ebevGHlBDqpb667v9tNO0iXETuKqa07Z42TPFc5IjyVKCQ95GOqPGVMkTwaGFe8FLDSPDo96LwyfJQ8E7pvu4XJwjzsIlO8oRvaPDzTVzqN6j28qAl6PJ2tijzwHuc6nmMMPenbvbtk7CY9O/bjONRc2juGVho7SX+6vMT5jbsTZnC8+p0+PEnawjysE4g7CBDTOxhwIL0UQOU8qEfkO5BT1byf8F28e/oNvPuKzTuVlEC8ctKkPGOTl7yI0Je7CyG0u4Q1JzzVjbG8Xy4ivVm/Br1wcj48gpgYPMfMqDxkYcQ8Vn/ivE6PEzwtc6K897xau/hIBzzi+uc8BRqiPHcXtrwiB3g77dXzudy7wzuR3K88wUbru7a69LwhLEu85ocMvH73FLzqcHi91jDOPB3hGDzEdyI9inuaO9BVAzusgiq8DKvyPGzCXLw9OiK8WL8MPdWBgTw+q1Y76uNbPAk+wDxQxIo88uBDPKdytbyN1w89JeHHuw7iCT2HE7i8nW7VvMojrTzh/Hi740RivGN0P7zWQgg8j50qu/fljTtdJRy8YjaXPG4/qjuDgoa8pKsCvKkSMDs0TLU84dRQvHzGnLwi9Kq7fCiIu3i2ILzvESU8IFI7vONLCjzKqaa7w2kbPIa7y7sjaCE5Hek9vDTPYLxMGz28tScdPHGWlDvytBG98ayyvOuRKbwb7N873hYavcSm7LxH/Vo8bZsEPTPV4LtLPxs9y8JjPHTdL7zyN++7iwCyvPc75Lu/ns08MBqGPJmMiTydBhq7xQw6O0r5hTyXChi9l6KjvIPFuDvbeji7cHO3ugQlrzs9kQA9Mr3kOgYvbrzEgai7JzKBOk9aM7vDw4c8sremu+gYrbn+rpg7wDiQOrDFwDrsW7A7ATuKvFtoQrx5mZC6DMwzPD4+h7vTA8K86R3Yu9L8AzxjFwo8eQ27u/CyJrxWc5O8LOlDvC2UuDsN6ry6CmJmvK99A7weNZC8QLydPACIjrysCJC8I9baPE3gjrtrurE89jIKvHf9sjwLX4y8sQLAPLrE8DvD05w8EHfcPAjZhTxbTF08Dz2IOpNJNjwRJle9t00CPA==
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
index: 0
object: embedding
model: qwen3-embedding:4b
@@ -1913,7 +2398,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '8157'
+ - '8245'
content-type:
- application/json
host:
@@ -1966,23 +2451,23 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated
- in prior to her candidacy?
+ - content: In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as
+ an upstart contender, and what were the key policy platforms highlighted during that campaign?
role: user
- content: |-
- We need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social‑activism initiatives community‑based projects prior to her
- candidacy"}'
+ arguments: '{"limit":5,"query":"social activist candidate first run upstart contender Jakarta election cycle key
+ policy platforms highlighted campaign Jakarta election"}'
name: search_and_answer
- id: call_cvaocydv
+ id: call_fuscbr8h
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -2027,7 +2512,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_cvaocydv
+ tool_call_id: call_fuscbr8h
model: gpt-oss
reasoning_effort: low
stream: false
@@ -2082,7 +2567,7 @@ interactions:
response:
headers:
content-length:
- - '538'
+ - '559'
content-type:
- application/json
parsed_body:
@@ -2091,24 +2576,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Very low relevance. Need other sources.
+ reasoning: No relevant. Need specific candidate. Search other.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"\"Amira Bintang\" community project\""}'
+ arguments: '{"limit":5,"query":"Amira Bintang Jakarta election 2019 policy platforms"}'
name: search_and_answer
- id: call_atvr19pj
+ id: call_5oufndlt
index: 0
type: function
- created: 1766757532
- id: chatcmpl-68
+ created: 1766861959
+ id: chatcmpl-543
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 45
- prompt_tokens: 1585
- total_tokens: 1630
+ completion_tokens: 49
+ prompt_tokens: 1586
+ total_tokens: 1635
status:
code: 200
message: OK
@@ -2121,7 +2606,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '107'
+ - '122'
content-type:
- application/json
host:
@@ -2130,7 +2615,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - '"Amira Bintang" community project"'
+ - Amira Bintang Jakarta election 2019 policy platforms
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -2141,14 +2626,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 11
- total_tokens: 11
+ prompt_tokens: 15
+ total_tokens: 15
status:
code: 200
message: OK
@@ -2161,7 +2646,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '13385'
+ - '13493'
content-type:
- application/json
host:
@@ -2214,23 +2699,23 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated
- in prior to her candidacy?
+ - content: In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as
+ an upstart contender, and what were the key policy platforms highlighted during that campaign?
role: user
- content: |-
- We need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"Amira Bintang social‑activism initiatives community‑based projects prior to her
- candidacy"}'
+ arguments: '{"limit":5,"query":"social activist candidate first run upstart contender Jakarta election cycle key
+ policy platforms highlighted campaign Jakarta election"}'
name: search_and_answer
- id: call_cvaocydv
+ id: call_fuscbr8h
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -2275,20 +2760,20 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_cvaocydv
+ tool_call_id: call_fuscbr8h
- content: |-
- Very low relevance. Need other sources.
+ No relevant. Need specific candidate. Search other.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"\"Amira Bintang\" community project\""}'
+ arguments: '{"limit":5,"query":"Amira Bintang Jakarta election 2019 policy platforms"}'
name: search_and_answer
- id: call_atvr19pj
+ id: call_5oufndlt
type: function
- content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.02)
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
Type: text
Content:
Jakarta Election Campaigns Heat Up: Here's How to Understand the System
@@ -2333,7 +2818,7 @@ interactions:
Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
role: tool
- tool_call_id: call_atvr19pj
+ tool_call_id: call_5oufndlt
model: gpt-oss
reasoning_effort: low
stream: false
@@ -2388,7 +2873,7 @@ interactions:
response:
headers:
content-length:
- - '930'
+ - '522'
content-type:
- application/json
parsed_body:
@@ -2396,21 +2881,444 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: |-
- **Answer**
-
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- reasoning: No relevant info. Likely no data. Provide answer that insufficient.
+ content: I’m sorry, but I couldn’t find any reliable source that identifies which Jakarta election cycle a particular
+ social‑activist candidate first ran as an up‑start contender, nor the specific policy platforms of that first
+ campaign.
role: assistant
- created: 1766757536
- id: chatcmpl-396
+ created: 1766861963
+ id: chatcmpl-453
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 48
+ prompt_tokens: 2532
+ total_tokens: 2580
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '13891'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as
+ an upstart contender, and what were the key policy platforms highlighted during that campaign?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"social activist candidate first run upstart contender Jakarta election cycle key
+ policy platforms highlighted campaign Jakarta election"}'
+ name: search_and_answer
+ id: call_fuscbr8h
+ type: function
+ - content: |-
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
+ Type: text
+ Content:
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
+ role: tool
+ tool_call_id: call_fuscbr8h
+ - content: |-
+
+ No relevant. Need specific candidate. Search other.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"Amira Bintang Jakarta election 2019 policy platforms"}'
+ name: search_and_answer
+ id: call_5oufndlt
+ type: function
+ - content: |-
+ [078e3946-2e57-49b8-9dfc-80932fb6deba] (score: 0.03)
+ Type: text
+ Content:
+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+
+ Initial Launch of Candidates' Campaign Plans on September 1
+
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+
+ Rallies and Persuasion
+
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+
+ Debates: Clashes Between Visions and Policies
+
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+
+ Voter Engagement: Making Every Vote Count
+
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+
+ Campaign Financing: Transparency and Accountability
+
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+
+ Before Election Day: Submit Final Appeals Now
+
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+
+ Polling Day: The Final Act of Campaign Activities
+
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+
+ Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
+ role: tool
+ tool_call_id: call_5oufndlt
+ - content: I’m sorry, but I couldn’t find any reliable source that identifies which Jakarta election cycle a particular
+ social‑activist candidate first ran as an up‑start contender, nor the specific policy platforms of that first campaign.
+ role: assistant
+ - content: |-
+ Validation feedback:
+ Please include your response in a tool call.
+
+ Fix the errors and try again.
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '955'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need to use final_result.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"answer":"I’m sorry, but I couldn’t find any reliable source that identifies which Jakarta election
+ cycle a particular social‑activist candidate first ran as an up‑start contender, nor the specific policy platforms
+ of that first campaign.","cited_chunks":[],"confidence":0,"query":"In which Jakarta election cycle (year and
+ election type) did this social‑activist candidate first run as an upstart contender, and what were the key
+ policy platforms highlighted during that campaign?"}'
+ name: final_result
+ id: call_377p13ph
+ index: 0
+ type: function
+ created: 1766861968
+ id: chatcmpl-869
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 124
+ prompt_tokens: 2605
+ total_tokens: 2729
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '3714'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are the research evaluator responsible for assessing
+ whether gathered evidence sufficiently answers the research question.
+
+ Inputs available:
+ - Original research question
+ - Question-answer pairs with supporting sources
+ - Previous evaluation (if any)
+
+ Tasks:
+ 1. Assess whether the collected evidence answers the original question.
+ 2. Provide a confidence_score in [0,1] reflecting coverage and evidence quality.
+ 3. Optionally propose up to 3 new sub-questions if important gaps remain.
+
+ Output fields:
+ - is_sufficient: true when the question is adequately answered
+ - confidence_score: numeric in [0,1]
+ - reasoning: brief explanation of the assessment
+ - new_questions: list of follow-up questions (max 3), only if needed
+
+ Be strict: only mark sufficient when key aspects are addressed with reliable evidence.
+ role: system
+ - content: |-
+ Assess whether the research now answers the original question with adequate confidence.
+
+
+ Who is the upstart candidate in Jakarta's election known for social activism?
+
+
+ -
+ Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her activism in social issues?
+ Amira Bintang is the upstart candidate in Jakarta’s most recent municipal election who is recognized for her extensive social‑activism experience.
+ 0.9
+
+
-
+ mljudppg
+ null
+
+ null
+
+
+
+ -
+ What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before entering the race?
+ I couldn’t locate specific social‑activism initiatives or causes that the Jakarta candidate has supported or led before running for office. The searched documents did not contain that information.
+ 0.0
+
+
+ -
+ In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as an upstart contender, and what were the key policy platforms highlighted during that campaign?
+ I’m sorry, but I couldn’t find any reliable source that identifies which Jakarta election cycle a particular social‑activist candidate first ran as an up‑start contender, nor the specific policy platforms of that first campaign.
+ 0.0
+
+
+
+
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Result of research sufficiency evaluation.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ confidence_score:
+ description: Confidence level in the completeness of research (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ is_sufficient:
+ description: Whether the research is sufficient to answer the original question
+ type: boolean
+ new_questions:
+ description: New sub-questions to add to the research (max 3)
+ items:
+ type: string
+ maxItems: 3
+ type: array
+ reasoning:
+ description: Explanation of why the research is or isn't complete
+ type: string
+ required:
+ - is_sufficient
+ - confidence_score
+ - reasoning
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '972'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: We need to evaluate sufficiency. Only one answered with high confidence but no evidence source. The other
+ two missing. Probably insufficient.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"confidence_score":0.4,"is_sufficient":false,"new_questions":["What reliable sources confirm Amira
+ Bintang’s activism?","Which election year did Amira Bintang first run?","What policy platforms did Amira Bintang
+ emphasize in her campaign?"],"reasoning":"The only answer with confidence 0.9 lacks verifiable sources, and
+ subsequent questions remain unanswered. Thus evidence is incomplete."}'
+ name: final_result
+ id: call_pui1c68a
+ index: 0
+ type: function
+ created: 1766861974
+ id: chatcmpl-393
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 129
- prompt_tokens: 2531
- total_tokens: 2660
+ prompt_tokens: 762
+ total_tokens: 891
status:
code: 200
message: OK
@@ -2423,1232 +3331,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '14198'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated
- in prior to her candidacy?
- role: user
- - content: |-
-
- We need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"Amira Bintang social‑activism initiatives community‑based projects prior to her
- candidacy"}'
- name: search_and_answer
- id: call_cvaocydv
- type: function
- - content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_cvaocydv
- - content: |-
-
- Very low relevance. Need other sources.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":10,"query":"\"Amira Bintang\" community project\""}'
- name: search_and_answer
- id: call_atvr19pj
- type: function
- - content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.02)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_atvr19pj
- - content: |-
-
- No relevant info. Likely no data. Provide answer that insufficient.
-
-
- **Answer**
-
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
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- - type: 'null'
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- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '1223'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need to output via final_result.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"answer":"I wasn’t able to locate any documented social‑activism initiatives or community‑based
- projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention
- her general background as a “social activist” but do not give specifics about particular campaigns, programs,
- or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO
- reports, community newsletters, or her personal profile), those would need to be consulted to answer this
- question fully.","cited_chunks":[],"confidence":0.2,"query":"What are the key social‑activism initiatives
- and community‑based projects that Amira Bintang has led or participated in prior to her candidacy?"}'
- name: final_result
- id: call_pariwq4a
- index: 0
- type: function
- created: 1766757541
- id: chatcmpl-254
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 176
- prompt_tokens: 2685
- total_tokens: 2861
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '2902'
- content-type:
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- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies
- in the 2024 Jakarta city election?
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
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- - function:
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- type: string
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- confidence:
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- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '575'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: We need search.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism record influence campaign platform voter outreach
- 2024 Jakarta city election"}'
- name: search_and_answer
- id: call_ukzu7dyh
- index: 0
- type: function
- created: 1766757542
- id: chatcmpl-292
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 50
- prompt_tokens: 632
- total_tokens: 682
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '176'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - Amira Bintang social activism record influence campaign platform voter outreach 2024 Jakarta city election
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
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- transfer-encoding:
- - chunked
- parsed_body:
- data:
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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 22
- total_tokens: 22
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '8168'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies
- in the 2024 Jakarta city election?
- role: user
- - content: |-
-
- We need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism record influence campaign platform voter outreach
- 2024 Jakarta city election"}'
- name: search_and_answer
- id: call_ukzu7dyh
- type: function
- - content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_ukzu7dyh
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '662'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: "**Answer:** \nThe available source does not provide specific details on how Amira Bintang’s social‑activism
- record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.\n\n**Cited
- chunks:** \n- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c]\n\n**Confidence:** 0.2"
- reasoning: Only one result low score. No info. Probably insufficient.
- role: assistant
- created: 1766757546
- id: chatcmpl-546
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 107
- prompt_tokens: 1583
- total_tokens: 1690
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '8713'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies
- in the 2024 Jakarta city election?
- role: user
- - content: |-
-
- We need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"Amira Bintang social activism record influence campaign platform voter outreach
- 2024 Jakarta city election"}'
- name: search_and_answer
- id: call_ukzu7dyh
- type: function
- - content: |-
- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c] (score: 0.03)
- Type: text
- Content:
- Jakarta Election Campaigns Heat Up: Here's How to Understand the System
-
- As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
-
- Initial Launch of Candidates' Campaign Plans on September 1
-
- After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
-
- Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
-
- Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
-
- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
-
- Rallies and Persuasion
-
- Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
-
- Debates: Clashes Between Visions and Policies
-
- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
-
- Voter Engagement: Making Every Vote Count
-
- Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
-
- Campaign Financing: Transparency and Accountability
-
- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
-
- undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
-
- Before Election Day: Submit Final Appeals Now
-
- As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
-
- Polling Day: The Final Act of Campaign Activities
-
- On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
-
- Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures.
- role: tool
- tool_call_id: call_ukzu7dyh
- - content: "\nOnly one result low score. No info. Probably insufficient.\n\n\n**Answer:** \nThe available
- source does not provide specific details on how Amira Bintang’s social‑activism record shapes her campaign platform
- or voter outreach strategies in the 2024 Jakarta city election.\n\n**Cited chunks:** \n- [5c97385f-6ea3-4d49-8da1-c5e5211b4e5c]\n\n**Confidence:**
- 0.2"
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '919'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need to use functions.final_result.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"answer":"The available source does not provide specific details on how Amira Bintang’s social‑activism
- record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.","cited_chunks":["5c97385f-6ea3-4d49-8da1-c5e5211b4e5c"],"confidence":0.2,"query":"How
- does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies
- in the 2024 Jakarta city election?"}'
- name: final_result
- id: call_0h5x2odu
- index: 0
- type: function
- created: 1766757550
- id: chatcmpl-960
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 139
- prompt_tokens: 1715
- total_tokens: 1854
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '4362'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are the research evaluator responsible for assessing
- whether gathered evidence sufficiently answers the research question.
-
- Inputs available:
- - Original research question
- - Question-answer pairs with supporting sources
- - Previous evaluation (if any)
-
- Tasks:
- 1. Assess whether the collected evidence answers the original question.
- 2. Provide a confidence_score in [0,1] reflecting coverage and evidence quality.
- 3. Optionally propose up to 3 new sub-questions if important gaps remain.
-
- Output fields:
- - is_sufficient: true when the question is adequately answered
- - confidence_score: numeric in [0,1]
- - reasoning: brief explanation of the assessment
- - new_questions: list of follow-up questions (max 3), only if needed
-
- Be strict: only mark sufficient when key aspects are addressed with reliable evidence.
- role: system
- - content: |-
- Assess whether the research now answers the original question with adequate confidence.
-
-
- Who is the upstart candidate in Jakarta's election known for social activism?
-
-
- -
- Who is Amira Bintang the upstart candidate running in Jakarta's city election who is noted for her social‑activism background?
- I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is no additional biographical detail or background information from the available documents.
- 0.35
-
-
-
- mljudppg
- null
-
- null
-
-
-
- -
- What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated in prior to her candidacy?
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- 0.2
-
-
- -
- How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city election?
- The available source does not provide specific details on how Amira Bintang’s social‑activism record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.
- 0.2
-
-
-
- mljudppg
- null
-
- null
-
-
-
-
-
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Result of research sufficiency evaluation.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- confidence_score:
- description: Confidence level in the completeness of research (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- is_sufficient:
- description: Whether the research is sufficient to answer the original question
- type: boolean
- new_questions:
- description: New sub-questions to add to the research (max 3)
- items:
- type: string
- maxItems: 3
- type: array
- reasoning:
- description: Explanation of why the research is or isn't complete
- type: string
- required:
- - is_sufficient
- - confidence_score
- - reasoning
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '1374'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: "**is_sufficient:** false \n**confidence_score:** 0.20 \n**reasoning:** The available QA responses indicate
- that no reliable source has identified the upstart candidate’s name, background, or specific social‑activism activities.
- The information cited is incomplete and unsupported by verifiable references, leaving the original question unanswered.
- \ \n**new_questions:** \n1. Who is the upstart candidate in Jakarta’s city election noted for her social‑activism
- background? \n2. What biographical details (education, career, prior political involvement) can be confirmed
- for this candidate? \n3. Which specific social‑activism initiatives or community projects has the candidate led
- or participated in prior to the campaign?"
- reasoning: |+
- We need to evaluate if evidence answers original question: "Who is the upstart candidate in Jakarta's election known for social activism?" The evidence says cannot locate reliable source; low confidence. So insufficient. Provide confidence maybe 0.2. New questions: Who is Amira Bintang? What are her background details? Provide.
-
- role: assistant
- created: 1766757556
- id: chatcmpl-356
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 218
- prompt_tokens: 902
- total_tokens: 1120
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '6486'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are the research evaluator responsible for assessing
- whether gathered evidence sufficiently answers the research question.
-
- Inputs available:
- - Original research question
- - Question-answer pairs with supporting sources
- - Previous evaluation (if any)
-
- Tasks:
- 1. Assess whether the collected evidence answers the original question.
- 2. Provide a confidence_score in [0,1] reflecting coverage and evidence quality.
- 3. Optionally propose up to 3 new sub-questions if important gaps remain.
-
- Output fields:
- - is_sufficient: true when the question is adequately answered
- - confidence_score: numeric in [0,1]
- - reasoning: brief explanation of the assessment
- - new_questions: list of follow-up questions (max 3), only if needed
-
- Be strict: only mark sufficient when key aspects are addressed with reliable evidence.
- role: system
- - content: |-
- Assess whether the research now answers the original question with adequate confidence.
-
-
- Who is the upstart candidate in Jakarta's election known for social activism?
-
-
- -
- Who is Amira Bintang the upstart candidate running in Jakarta's city election who is noted for her social‑activism background?
- I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is no additional biographical detail or background information from the available documents.
- 0.35
-
-
-
- mljudppg
- null
-
- null
-
-
-
- -
- What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated in prior to her candidacy?
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- 0.2
-
-
- -
- How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city election?
- The available source does not provide specific details on how Amira Bintang’s social‑activism record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.
- 0.2
-
-
-
- mljudppg
- null
-
- null
-
-
-
-
-
- role: user
- - content: "\nWe need to evaluate if evidence answers original question: \"Who is the upstart candidate in Jakarta's
- election known for social activism?\" The evidence says cannot locate reliable source; low confidence. So insufficient.
- Provide confidence maybe 0.2. New questions: Who is Amira Bintang? What are her background details? Provide.\n\n\n\n\n**is_sufficient:**
- false \n**confidence_score:** 0.20 \n**reasoning:** The available QA responses indicate that no reliable source
- has identified the upstart candidate’s name, background, or specific social‑activism activities. The information
- cited is incomplete and unsupported by verifiable references, leaving the original question unanswered. \n**new_questions:**
- \ \n1. Who is the upstart candidate in Jakarta’s city election noted for her social‑activism background? \n2. What
- biographical details (education, career, prior political involvement) can be confirmed for this candidate? \n3.
- Which specific social‑activism initiatives or community projects has the candidate led or participated in prior
- to the campaign?"
- role: assistant
- - content: |-
- 1 validation error:
- ```json
- [
- {
- "type": "json_invalid",
- "loc": [],
- "msg": "Invalid JSON: expected value at line 1 column 1",
- "input": "**is_sufficient:** false \n**confidence_score:** 0.20 \n**reasoning:** The available QA responses indicate that no reliable source has identified the upstart candidate’s name, background, or specific social‑activism activities. The information cited is incomplete and unsupported by verifiable references, leaving the original question unanswered. \n**new_questions:** \n1. Who is the upstart candidate in Jakarta’s city election noted for her social‑activism background? \n2. What biographical details (education, career, prior political involvement) can be confirmed for this candidate? \n3. Which specific social‑activism initiatives or community projects has the candidate led or participated in prior to the campaign?"
- }
- ]
- ```
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Result of research sufficiency evaluation.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- confidence_score:
- description: Confidence level in the completeness of research (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- is_sufficient:
- description: Whether the research is sufficient to answer the original question
- type: boolean
- new_questions:
- description: New sub-questions to add to the research (max 3)
- items:
- type: string
- maxItems: 3
- type: array
- reasoning:
- description: Explanation of why the research is or isn't complete
- type: string
- required:
- - is_sufficient
- - confidence_score
- - reasoning
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '1049'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: '{"is_sufficient":false,"confidence_score":0.20,"reasoning":"The available QA responses indicate that no
- reliable source has identified the upstart candidate’s name, background, or specific social‑activism activities.
- The information cited is incomplete and unsupported by verifiable references, leaving the original question unanswered.","new_questions":["Who
- is the upstart candidate in Jakarta’s city election noted for her social‑activism background?","What biographical
- details (education, career, prior political involvement) can be confirmed for this candidate?","Which specific
- social‑activism initiatives or community projects has the candidate led or participated in prior to the campaign?"]}'
- reasoning: Need to output JSON.
- role: assistant
- created: 1766757561
- id: chatcmpl-131
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 147
- prompt_tokens: 1337
- total_tokens: 1484
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '5788'
+ - '4969'
content-type:
- application/json
host:
@@ -3692,15 +3375,15 @@ interactions:
Who is the upstart candidate in Jakarta's election known for social activism?
- - Who is the upstart candidate in Jakarta’s city election noted for her social‑activism background?
- - What biographical details (education, career, prior political involvement) can be confirmed for this candidate?
- - Which specific social‑activism initiatives or community projects has the candidate led or participated in prior to the campaign?
+ - What reliable sources confirm Amira Bintang’s activism?
+ - Which election year did Amira Bintang first run?
+ - What policy platforms did Amira Bintang emphasize in her campaign?
-
- Who is Amira Bintang the upstart candidate running in Jakarta's city election who is noted for her social‑activism background?
- I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is no additional biographical detail or background information from the available documents.
- 0.35
+ Who is the upstart candidate in Jakarta’s most recent municipal election who is recognized for his or her activism in social issues?
+ Amira Bintang is the upstart candidate in Jakarta’s most recent municipal election who is recognized for her extensive social‑activism experience.
+ 0.9
-
mljudppg
@@ -3711,23 +3394,16 @@ interactions:
-
- What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated in prior to her candidacy?
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- 0.2
+ What specific social‑activism initiatives or causes has this Jakarta upstart candidate supported or led before entering the race?
+ I couldn’t locate specific social‑activism initiatives or causes that the Jakarta candidate has supported or led before running for office. The searched documents did not contain that information.
+ 0.0
-
- How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city election?
- The available source does not provide specific details on how Amira Bintang’s social‑activism record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.
- 0.2
-
-
-
- mljudppg
- null
-
- null
-
-
+ In which Jakarta election cycle (year and election type) did this social‑activist candidate first run as an upstart contender, and what were the key policy platforms highlighted during that campaign?
+ I’m sorry, but I couldn’t find any reliable source that identifies which Jakarta election cycle a particular social‑activist candidate first ran as an up‑start contender, nor the specific policy platforms of that first campaign.
+ 0.0
+
@@ -3787,236 +3463,46 @@ interactions:
uri: http://localhost:11434/v1/chat/completions
response:
headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- error:
- code: null
- message: 'error parsing tool call: raw=''{"title":"Amira Bintang: Jakarta Upstart with Social‑Activism Roots","executive_summary":"Amira Bintang
- is identified in the available sources as an upstart candidate in Jakarta’s 2024 city election who has a background
- in social activism. No reliable public record provides further biographical details such as education, prior political
- office, or documented activism projects. Consequently, her campaign platform and outreach strategies remain undocumented
- in the current evidence set.","main_findings":["The sole reference states Amira Bintang is an \"up‑start candidate
- with extensive social‑activism experience\" in Jakarta’s city election.","No secondary sources provide biographical
- data (education, career history, prior political roles).","No official documentation lists specific social‑activism
- initiatives or community projects led or participated in by Amira Bintang.","The available evidence does not describe
- how her activism influences her campaign platform or voter outreach.","The source cited (document_uri: mljudppg)
- lacks title, page numbers, or headings and offers no additional detail.","No corroborating news reports, NGO records,
- or campaign materials were located in the search.","The confidence levels for biographical and activism questions
- are low (0.35 and 0.2 respectively).","The evidence set is limited to a brief mention in an unverified document."]","conclusions":["Amira
- Bintang’s candidacy is confirmed but only in the context of a generic social‑activism descriptor; concrete biographical
- data are unavailable.","The absence of documented projects or platform details prevents an assessment of her political
- impact or voter strategy.","Stakeholders should treat current information about her as incomplete and seek further
- verification."],"recommendations":["Conduct targeted searches of local Jakarta media archives for interviews, campaign
- press releases, or NGO reports mentioning Amira Bintang.","Request official campaign filings or public disclosures
- to obtain her résumé, education, and prior political experience.","Interview constituents and community groups that
- may have engaged with her activism initiatives.","Update the research once additional trustworthy sources are identified,
- adding verified biographical and campaign details.","Maintain a database of source reliability to track confidence
- over time."],"limitations":["The research relies on a single unverified document without bibliographic details.","Confidence
- scores for key facts are below 0.4, indicating high uncertainty.","No corroborating independent sources were found
- to validate claims about her activism or platform."],"sources_summary":"Document: mljudppg (no title, page numbers,
- or headings provided)."}'', err=invalid character ''"'' after object key:value pair'
- param: null
- type: api_error
- status:
- code: 500
- message: Internal Server Error
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
content-length:
- - '5788'
+ - '1901'
content-type:
- application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a synthesis specialist producing the final
- research report that directly answers the original question.
-
- Goals:
- 1. Directly answer the research question using gathered evidence.
- 2. Present findings clearly and concisely.
- 3. Draw evidence-based conclusions and recommendations.
- 4. State limitations and uncertainties transparently.
-
- Report guidelines (map to output fields):
- - title: concise (5-12 words), informative.
- - executive_summary: 3-5 sentences that DIRECTLY ANSWER the original question.
- Write the actual answer, not a description of what the report contains.
- BAD: "This report examines the topic and presents findings..."
- GOOD: "The system requires configuration X and supports features Y and Z..."
- - main_findings: list of plain strings, 4-8 one-sentence bullets reflecting evidence.
- - conclusions: list of plain strings, 2-4 bullets following logically from findings.
- - recommendations: list of plain strings, 2-5 actionable bullets tied to findings.
- - limitations: list of plain strings, 1-3 bullets describing constraints or uncertainties.
- - sources_summary: single string listing sources with document paths and page numbers.
-
- All list fields must contain plain strings only, not objects.
-
- Style:
- - Base all content solely on the collected evidence.
- - Be professional, objective, and specific.
- - NEVER use meta-commentary like "This report covers..." or "The findings show...".
- Instead, state the actual information directly.
- role: system
- - content: |-
- Generate a comprehensive research report based on all gathered information.
-
-
- Who is the upstart candidate in Jakarta's election known for social activism?
-
- - Who is the upstart candidate in Jakarta’s city election noted for her social‑activism background?
- - What biographical details (education, career, prior political involvement) can be confirmed for this candidate?
- - Which specific social‑activism initiatives or community projects has the candidate led or participated in prior to the campaign?
-
-
- -
- Who is Amira Bintang the upstart candidate running in Jakarta's city election who is noted for her social‑activism background?
- I couldn’t locate a reliable source that identifies who Amira Bintang is beyond the brief mention that she is an “up‑start candidate with extensive social‑activism experience” in Jakarta’s city election. There is no additional biographical detail or background information from the available documents.
- 0.35
-
-
-
- mljudppg
- null
-
- null
-
-
-
- -
- What are the key social‑activism initiatives and community‑based projects that Amira Bintang has led or participated in prior to her candidacy?
- I wasn’t able to locate any documented social‑activism initiatives or community‑based projects that Amira Bintang has led or participated in before her candidacy. The available sources only mention her general background as a “social activist” but do not give specifics about particular campaigns, programs, or community projects she has headed or joined. If more detailed records exist elsewhere (e.g., local NGO reports, community newsletters, or her personal profile), those would need to be consulted to answer this question fully.
- 0.2
-
-
- -
- How does Amira Bintang’s social‑activism record influence her campaign platform and voter outreach strategies in the 2024 Jakarta city election?
- The available source does not provide specific details on how Amira Bintang’s social‑activism record shapes her campaign platform or voter outreach strategies in the 2024 Jakarta city election.
- 0.2
-
-
-
- mljudppg
- null
-
- null
-
-
-
-
-
-
- Create a detailed report that synthesizes all findings into a coherent response.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Final research report structure.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- conclusions:
- description: Evidence-based conclusions
- items:
- type: string
- type: array
- executive_summary:
- description: Brief overview of key findings
- type: string
- limitations:
- default: []
- description: Limitations of the current research
- items:
- type: string
- type: array
- main_findings:
- description: Primary research findings with supporting evidence
- items:
- type: string
- type: array
- recommendations:
- default: []
- description: Actionable recommendations based on findings
- items:
- type: string
- type: array
- sources_summary:
- description: Summary of sources used and their reliability
- type: string
- title:
- description: Concise title for the research
- type: string
- required:
- - title
- - executive_summary
- - main_findings
- - conclusions
- - sources_summary
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
parsed_body:
choices:
- finish_reason: tool_calls
index: 0
message:
content: ''
- reasoning: We need to produce report fields. All evidence is none. Must state uncertainty.
+ reasoning: 'We have limited evidence: answer says Amira Bintang, confidence 0.9. Other questions unanswered. So
+ provide report.'
role: assistant
tool_calls:
- function:
- arguments: '{"conclusions":["Amira Bintang’s public profile remains unverified beyond a generic activist descriptor.","There
- is insufficient evidence to confirm any biographical or activist specifics.","The lack of detail limits understanding
- of her political positioning or appeal."],"executive_summary":"Amira Bintang is the only upstart candidate
- in Jakarta’s 2024 city election mentioned for her social‑activism background, but public records contain no
- verifiable biographical data, education, prior political roles, or documented activism projects. No credible
- sources detail how her activist record informs her campaign strategy or voter outreach. Consequently, beyond
- her name and general activist label, no substantiated information is available.","limitations":["The research
- relies on a single unspecified source with low confidence ratings (0.35 for identity, 0.2 for activism details).","No
- corroborating documents or independent verification were found.","Information may be incomplete due to limited
- online coverage of local candidates."],"main_findings":["Amira Bintang is referenced only as an upstart candidate
- with social‑activism experience.","No reliable source confirms her education, prior career, or political involvement.","No
- documented social‑activism initiatives or community projects are linked to her name.","No evidence shows how
- her activism influences her campaign platform or outreach.","All available references originate from a single,
- non‑informative source (mljudppg).","The source lacks page numbers, headings, and document title, providing
- minimal context."],"recommendations":["Seek additional local news outlets, NGO reports, or official electoral
- registries to verify her background.","Request campaign materials or official statements that outline her
- activism projects and platform.","Cross‑check voter registries or social media profiles for corroborating
- biographical data."],"sources_summary":"Document mljudppg (source ID), no title or page numbers available.","title":"Jakarta
- Candidate Amira Bintang: Limited Public Profile"}'
+ arguments: '{"conclusions":["Amira Bintang is the candidate identified as the upstart activist.","No concrete
+ evidence was found for specific activism initiatives or first‑run election year or policy platforms.","The
+ available source confirms her status but lacks detail on her advocacy background.","Further research is required
+ to substantiate the additional unanswered questions."],"executive_summary":"Amira Bintang is the upstart candidate
+ in Jakarta’s most recent municipal election known for her social‑activism experience.","limitations":["Evidence
+ is limited to a single source with low contextual detail.","No corroborating sources confirm activism initiatives,
+ election year, or platforms.","Information may be incomplete or outdated.",""],"main_findings":["Amira Bintang
+ is cited as the upstart candidate in Jakarta’s most recent municipal election.\n"],"recommendations":["Consult
+ local Jakarta news archives and election commission records to locate Amira Bintang’s activism history.","Seek
+ official campaign materials or interviews where she outlines her policy agenda.","Verify her first candidacy
+ year by reviewing past election results and candidate filings."],"sources_summary":"mljudppg (source for candidate
+ identification)","title":"Amira Bintang: Jakarta’s Upstart Activist Candidate"}'
name: final_result
- id: call_0v71j3wt
+ id: call_8zexdmd9
index: 0
type: function
- created: 1766757586
- id: chatcmpl-377
+ created: 1766861986
+ id: chatcmpl-673
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 418
- prompt_tokens: 1151
- total_tokens: 1569
+ completion_tokens: 286
+ prompt_tokens: 984
+ total_tokens: 1270
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_search/test_chunks_include_document_info.yaml b/tests/cassettes/test_search/test_chunks_include_document_info.yaml
new file mode 100644
index 00000000..38719af4
--- /dev/null
+++ b/tests/cassettes/test_search/test_chunks_include_document_info.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '126'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is a test document with some content for searching.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 12
+ total_tokens: 12
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '83'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - test document
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search/test_chunks_include_document_title.yaml b/tests/cassettes/test_search/test_chunks_include_document_title.yaml
new file mode 100644
index 00000000..97b2f723
--- /dev/null
+++ b/tests/cassettes/test_search/test_chunks_include_document_title.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '135'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - This is a test document with a custom title to verify enrichment.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 14
+ total_tokens: 14
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - custom title
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: v9b+uFN/Dj2UB8Q8tDbHumaPIbrZ+gE9ELWDPdnbmzmBgn88gflLPYSCM7zQAkw82q4puR9oMbwZHBG9TXGfvZnd3DoDLvu8risoPQ/4h7tWjre8WTTIuy/BZD31tsA8JhRIO0FAijzAPbi87NiQvdrZYT27o2i8qt/Vu27MV73oJgc8gpdqu/TcoDs9x+Q7eY8YvF9IebwE3qu8eNLQvJ4Ltjy5V+28RP2CO9C2mrt2FsY8/UHKPL641joDFPc8FOL0u6C2v7wYZR88NCAePM0ss7xel+i8FsVTvJL8Ez1DugC6sUyeu3LSgrwikZQ7eeLaOqjnMTywXMY44NLPvFBjgbqy9PC8esMlvCcl5bxFxHA8tJKoPCdTULxk0gU944w+PFujpzz1S3y8w4UDvc5GiLslMAo9VatGOxTPBj2k8y08wEKNPOCHwTqA7lu8piaKPJPRpjyOPuo8d2D5O+wgzrwH8Yy6WvUMPESYBD3NxQg8GLaoPHdEnDrQXy28T1XHvK+D3buGU1689uwQPKTTkDu/kFU8br01OzbqPLrqlii95Z6QvPvih7x7oZE7T/Emu3tON7wClgm8YlImO0DEGjy9vW67vlWevOdTkrwgpDQ83j9gPNilGTshQ4q6MyjOu/iewDxPgIO7sKz+OVRvy7uKVeU6YA83vIiqVLwZVwm9Et6bPNSlIzzEoG28iCviu9yA/bvVY8c8aU00OipJwTu8pKs7xBCovN49jDy1K2K7bLDju43kpjtANgS8Odx/vKmKIL1oYTu8XZFfPaWtRjxeBqQ7uRBSPD9Mf7yNwx27ti/kPMP7wTsPDmU8xgSsvKy0oDrR6LA6zuUbO7hpVjnL9MU8V6UEvQCkGD0uaLQ8cJdOPDzFory1fB48syzXu51ppTzlggU8cJaRvG1hOLsqziq8+DP2vGQmp7wKDby8P6yDvPi/hLsBEJk8RtorOm+VKT1z2+A8fW4IvPqjtTy855A8Cgo1vFVYpTwRDKc7hsUNPPhvqry6Mri8r7G3u/C4fruNj9S6ixQJvKoRZ7yTv/M7qmgnvPKdtzzaCcI8XnaPvFDRRD00KQK8HNkjPM4pCDyk6LE7XDqDvN16kTqegbK8IRNYPA4JDjradKG89U7zO/2SQ7uPvRE8+6LKvAYTyTkc50U8n1gQPZ6+6DyOZPC6lXqDO5jwrjuEqEa9G5TzO/TDZjzK9qG8gWgUOSkDh7ogRGC8t8Z0PNg3ZLtUtKC677LDOrd0YrzdFJs8Hn7cuyU2nrzBl8a7C9e6PI14cLzNUvA7oq00PE9PJDs8e1G8DRBpPGmLkryTuTc7gp2ZvHQUdzw3nK07cw6tPMIgybvPjOc8ZGieOxMohTu/I8S8G+m/O2ibFDyJsI88q+ZXOtl0kLxL/iQ6P6m5u0Scozu9ejA8oZnQOdVtnDu5XYG8NLhbPVg6s7xoJa683JIBPEu8i7tThZa8w+URPKe/LbwvTD06pu0yPZHbYTtyRoO6MYFEveBmVDxwE7A8k2vfuxgH17ueHSw8yRkovOtCeTpG1Yc8T2CDvBfamDw1UhC8zrESPJbuQL3OC4g8LY5xPHYHn7zww+m8uqSAvBaxeTuoYOY7eK2zvC6JsjskSN87OzMXvIz81TogbMw7v3Q0vE8IXDz67tW8gmC5u0uwZbxmlhk8BJquvF2Norx3LCw7a2yGvIXJjLsKoYg74hO6vEm6OLyp+gq8gUROvACwEbxvms48hwZHPNnakjy9XxE8UMPWvFNqhjxN7dC8Ld61uyeOtLuDkKq80Ac8vN1ODT2KdNM8zq88PNYrO7zIjYA8qG2yvMMxSLw+rjm9sialurD+ST29iEa8a08VvU0tbby9Qaa6wrIMvSffkrrTuLu8thCUvHmdAz0EsNO8/HucPJHEtjy2oBe9NBHvvGDsLTxtr8g8d3ptPJKtuLwSiDG8BT4wvO1hIj0rp0W8PbIWva/BJjx0aMs85gKRPPmK1ruAlps7kSxjvEjPWTrfAYW8Q5AlvDvX57r5eKM7vabZPNRRrbxM6nY8iySJvMFLQDwy68G8YxKRuwRVkjsQhDk82QDHvL1g5rpRCuS7qaUJvbFxrjx+4Ks6HcRgPKdXAD1qg4s8qICtvNF9zjvTSdK8cLPBvDjgW7qWNHu8yuzJvITAgbzgM9k8Lyz5PN2O5bybpuA8iCznvKyupLwCwCi9jSxtvC0U9Dw4DDU8xYAXvdCCHby93pk8+2GKO5rjdLuh/iM7tIigO9XKQjzvfys8f0FkvEZuOzqFp0k8SSsoPACX5zz54xI9+DYTO+gNwDwyvg88r9+2PIeMr7zs3RG8WSWNvFuvybyAy148sCKwvMnUQ7zPTYo87/okvN/HZLvh4Z48gKgkPKkvO7xOxJW7TsS9vCAIE7yU5Xw8eKXSu+krwjyyNhC7P9pkvLG2PbzamBC9ylxNvLjohb3HtJu6W382Pc+wWLxQ0T08St/MvCjDErsy0I47wei5uikPJz0VpIY7jLjTvMBZS7qsL5Q8NvObO+Ul2zwI55E7uzGyvJTevTsTQqQ8mMsBPdsYdrtLI9Q8kFCfPFKz67tYM/88uQeWPKoNSjzy7pQ8KvlcvNNkiDxB2rU6ZzsjO0cMgLxdxI08U0i3u32xyjvcARm94HqVvPPxgDwgOzw64IZHPb70Xbp7cFM89LSKvCyI/Dyemwi8BoROveFwB7sLEm48gG29PITwizu0rbK7asMpvfbBAj0Cyc28TiK5OvKIrrwdoL24TahxvHFrmzyFhx89Ek2JPXsBvrzPquy8la9uPB5UxjzfFC28Z8msuWLxizzVnVW8hUZ2ukhQyDy9NM887JV8vJAcmDwMKXS81UYePairuTwd5QW9abxoOsctM7uZ1HY8uQagvDdxMz1xKNa8jbS4uv9Y0TzRk5s7iTgDPfroxzzlemW8sa8VPWlcX7zEkD88vMNtPF1HGLvAijM8pLWGvLFzoTvtMB86pW63uz0+rju6lWU8tG/ou2Sl0byvV7i8snqwvF9Cirzn3N+7xY1yOpuKQjxDUaw8u5oBO/j7yLsaSjW9Y1cavQlVOb30f8+8frUHvOZncDw8s9w8+Bm6u1Oy3bs/Mvc7ZBRdO1rLCjzvxnA7xzL7OxG5bjyl6RC9oFh9OprUrjxO8A29boOLPMewj7ycD6e7kb7nOrJ5ObrlmtS8MiSsPCByhryWJY698HJgvMEYrrzpnY28JqcoPGlQwjqR/668kEj1usSXpDzdbom837ZYvMpBiLyRbAg9VzK/vDO1Jrw1iqK8Xu2QvHDxT7xfk1G9UjtwvFUl1LudBey7I0xMvL6adL0VpiY7PehgO9LzJ7xhcgW8A9DBPOTA3bww6vE8M/UlvChqaryQYhw6MMLxvFZEGTx5Bew7QSuhvMHDWDwtncU758wTPRBUTDtTpIM7UuoevVIr2bzKkh26adACPEqf9jvA1de6uuK6OwmXw7xEIJc8LOaHuoohh7wPxTg9WwszOc9aJDyIwJs8oLw0u8Oj37vn6QS8J9BivPlgG70Dvj28KcKpvO28ljvGvOs8CUYwvBRnfDyCPnQ9v/fXOSnxcDyLgzw8RxvyvGp5P7tKEgO8gE0QPOGUIL1xe5U6pdeHPLoO7jxDCIa7VVIcPYBGizy31EY87iq9vK0wgjyuKY0785aQu8gypDycUEc9LhEFPQHRG7w2Pxy6C6kGPOXoET2RvYG8pF1WPOGBmTw/oL07SpyTPCEAmrzTbW29J9CDPBfJozxAgLI8rrnLu2VCET0GyQg8ntrLvGCWTLxapaq8Ttibu5wCwLv+Mm28W/fjO42oGTspy5c8TRO6PMMPqTzOV1a8ntupvMZTvLsoMos8S8kSPBMOnLwqlgO64+kCPaHRkTyD+b26IBD+vJmUazxdY9E7udNuPMByRLrsVlK7xEcSvVAbFjq884+7jH4bu0+jGTwXTIs8QaXmvI7GAbufoZW8p45AvWHSbDwM+5M6d2KYO8XlDT0AGfQ8kTbsvHf8i7zt93o8nDi9O1Yn8zvzXDc8qbzOPM0SRTsQO3y8zq2MOqPVaDqtI7G8c1/GO7zbmTzLgSU5DfBUu6OYiLrArYe8xvFUPPqOhbxZQjo8xUXdPCchPLzY/iu9+BXJvK4t6zzoiVW8t9JMPEPA67tPtNC5NPnwPGRhrLwBhkc8bfikvGfg4Lxqj5o79/MgvW7Nkzx029A8kVKgvAGGJ7tacAg88EHqPJqFeLxQtHc8oUgIvZYF0ryNLAw6kRQ9vNV2yDuDNCk9c9DUPGB3szzZYKK81AtJOl2G0Lqo7HQ8m9akPCJIDb2GFzi8uSMkvB7x9buqY2a8fo3RO+uXiTtkgAQ7bO2Hu0G9mLvHO9Q8tPTpOwSegLzxUc27h/GCu8bIBj018iY8J+eNvLT2rbtWhw88Nl5yPO2RhDyZAYy8fLK1O77D1LvwXxc9VE46vQ3t2LxjkMO89bb2uxMesjyaQRE9rTpTvQyNzrxOZL88wJIuvIodoDz+4w47ve25O3x2qTxMPSY92b6lurpdlLu4xDU8VfWPPKumHD2md127Se0DuryTtTwSyY48St3FvOBtIL0P0wG9svKyulFU5rsbgVA8cgWpu0HrJjzSTEO9JftBPOdGQjwk6Aq8Z1EzvCnGBT2pRW08XTt+vGZIyLx/qu47c6jwOSHpAD3Qmr+8XS8cPUsMETzuBBm8zqxQuopcC7yTg1Y8R9EevNdz8ruZhJq87/1NurRV9DwGcNU8IkkIvER1GLoEBZc7s6VPvPu0ozwYdY28jhpePOHv3jzIC+Q7pg4tPCNajbtR25U886iRu2WIUTzKI6S7A9HCPADENryRz+a82kTCuqSZFjoZTbq84F4FPHNelLxYBhE9in+jvK3WV7wJFG8810ebu5Skj7yzT5O8Tp7cPLRHAr0D7ui6fxhHu67iOL3vj128j3UPva78jDzqVO2892AwvGAw5TsE5j07+IypPEKXtzohKDY82nmEujozrDy0Pje9vPSuuxQk3Ty+rXG8IFhRO6dX1jxHDfU6C7H0Oyq5/zuhGKE6pfYqu2K9rbyHrZI8XGwlPFDQUbxoTIk8iKWdvFgnTDzzZRU8/Y4MvCUoJbxZwFa8ucZPPPHflTsaQ1G8b9JWOyskHrxonkK8D1+xuzYQ9LvnRx87qJ2VO0bL17vyszo8YJM9PUt+ejzLbbQ8bfc7PVcmADt9JtO8urHCvGAZm7sYZxu9Enp6PLMH0Lxzw2E8HT/7vJCTmjzAxQa9niyAvB7D9DtsviG8ujHOPJvggjtgzCY98GIcvXe1jTwd7gO7YxBavCZcrLzfh2g8D/EGPZO8Nb0Ff1y6fM5wvPc/STykqYi71A/NO6SIALzEUeo8p72jvAyomTvWuBm9D07KvJn7MD1GQnU84y2WPLC+h7xiy0283G0UPKPfvzs7v0c8q5n9Oy/Hyjt2YyW76+vzujHYkTy/nPQ8DfqmvIFZqjy9Dns8yRk8vCjtXjz4OmE8llOSul82/bssW168Wc+KPAGyHTrlepC8Eb4KOzb1nrywEhQ8jXBCvE8zWbxHWdw6Zb0TvO9dxbzyzce8p6I8PGHtiTzocX68muEkPA84lLvM73s8DFLwu1ELVjw+ZOk8InyPPA82STy8v1S8Iw/rO4idkLzYW8K8zglTu7H+jDvumem8r43rvF8YBT1wOpW8ZHEQOt0UPjtrQYI8H+pCPDdNZbxoNNu8G6TIO+7rQbyrjvq8BZ4Gvb5zEj1w04y8fJ+BvP3U6Dpobgy9bY/QPBtZgbzUjp+7cCUZvPDzmTyLzI28ue8kvJx0Cr0Ci349xmt5vCm+5jrwm7E8MUGTOuyDLDrPJYU8Oh+cucafxDuKwR+8AXBKve6uoLtYcda8Tf0qPetISLxQuLo8SGP4vJNGJD22Bau83ssRPWbKgbwRcMc77VgOvMvzdDxO9sK6VzcDOi2mPbxLbQ08A+LHu5icgjvJLu87zK6DPATDIj2S4cm7VNzUu+hf4ztA4fu8z7JQPE5RjzwW1Ca8Z1ZpPUszBDwlJcO8DuJlvF0J1LtzvpG6d5JcvAZiY7ykTAe8hh3cvII3NruDCkA96ofIvDdYVj3zGJ28O+B0PNQPyjzWVbY8tF2xvKAlKjw66tQ83XmqPEyNgTwHipw8UhoPvTP33DyVx868EXL1OnxMCzwLP0I6rhQQvR8/sDwTHA+9HSYFPSHpSrwKKro71/XTvD3aFr2i+Qc9JTLWPLsTSTwqNQ28CvT1PHnJHjylFZ67hQfHvDIVCzx9gwK9T3zIOyKOE7uSQqq85kHnOwHj1zxQaJU7ta4QvEWKg7wBuzs9tSeMvB6muzy+E9i85wgwPKDFwLxfVh08FlY0vMsSwrw3FmC71X2TvCHYVL0lL1e5kUaxvIPlfzwsmsU8+Rx9PP3o0Tv84Z27aHtCPdVuCDz9TIa8C5bjOzl0Fj3BmqG89kA9vdpbhTsLIeo7/06IPHp/jzyLXpu8hcZaugxPmzuyRku9N76xvFL2t7zUCye619DKu8E+yrsf3Li7hjgDPEJoRTxQB0s8RzWxPMBw1LyK3vw8T0G7u0esQLlJMDc79brRPLm28jolod66F76kPLeStjx94hk9cQkxPThfwrw15uM7fdp4O2sToLxTqwa9a5EyO5+uHLwYRWC8TMQOu6mYBTxx7+48dtK0uwI0lrzptMc8nDkcvKiICLqgW4G8IgLGvLUjTzwKurq7rcitPPA9NzvKJfc8UOC1O2I0Jj2A0b880cTBvPVVQD08tSy8VOZWvFd02rzIlom7W4KrPHcmuzp1dlS7JJ8APKaxDjuE3ri834fpPEVG1bkZIyC9YhmqPI4iUTtQ+hS94IkauwaBtTwPMhG9kZm4u3HGSTysghS8gEQHPLHNrDyTgv06PpsmvLw6Mzu813g8kYMuPFROBDvNGhw7Rt00vadxzzzyzTg9BNkIvLuotbxrTsc88y3Su4lJibvzz8c5bYmnPMLOFjyMwqe8R9DnvLjaCr0nVUM8AK0xu/L6NrzO8xa7zJhqvCHL0DwTN9m7UOC+ur20Hb2rpoI7GwlFu8P2OLy+uxI9EFhhuz0K/jung+i8+vurvPvkizwyn7c8Hsz0POH6hLyCZfK80p7tvFAz6rwPDVQ6SIGnPFcmfbsbdyO9P2XWOFeDLrwzByW92oAzvdObxDsz78M6twrxO8SVQruHxxg9Xu1tO/l05TtkFQg8fyovPY8v0bp/W3q8hy6MPONwjbveM7e8pdL3O3WF4Dy+D728FdhfuvHutjyrCK48+p/NPPVyorzygYa8ss95PNlz9jwjHcw7Xix5PAqXlrwKUNS8Usr1ux0ZJb23TUA5k7jGu94RzDvYB8o77GhUvC7CXjyHze+7pg0vPbxQ/Ttx3zu8PaKIvCuTGD0Ma6i61EigvGD/vzyGEQ69fDCcvLrSAz1+xQI9eh2ZuHusIL3AS1o7mSEZvA6fIryNJ8M89ogTPGRMH7xd1fq8SGvZu4CCQz3tCsq7AKu0vOL/XrxDFmm8p/rJPN1eGbxU7xa7Fgk5PEfZ4zyItvW7pjV1vJSDcrxRCys6zix7vFWLNj3VItc7nk0cO+OwVjx/ZwA9BNFmvK2877qplv+7BnuJO9L7Rjyno6g85tsFvJrPljyq/Uo4eg7pvOepJbwocP07cKyCO3KSUbvHyhW8SUTaPL9uObvTZay7/tSau08vtbwp7bk55nIKPJcJzDwPTdQ8d4ELPMZ1DL2cfDS8SB+svDijFjybADM8eVTmPHPB/7yNL3g8Vbt5PG3xAr2Zv4S8LFm1u590LrxjMUy8eugCvUMvPTwU5zk8pIAYvKq/kru/OdE8Tbb2OzllK7xP1hU8wOK6vAUYuDvd1ow8fCPpO4EStjz2uQS9lmjou3K8L7wO+q+8st2MOrMV0buGuDY85I19u/e+TLu7/Yi8k5IPPSYb/LuIV8a8WTTfvPD4NTyVLLe8Pnofu4itVzzrxoo7azZsvDW4nDzlhdS8isEoPJ4+r7pYr3w8R7GRPMSS1buXrCm84uyVugRml7ssezO8zfd2PEDKOjvdWA09FtJiuQ6anzxLfE88d99DvBVwE7v9/Pg7tljcO0XyNTyp8Si8ON3BPJyY1TsgbG+7eoCaO1Xy3LtImbg8grO0O6bob7xoPb88qGnfvB9g7LoQX4E8ZwSYvDdFijwx8/s7KUpVvE35Azxqauo8qYWau75vNzwTHzi6Ud0WPYAFLrz2SNK82nC3vIv7WTx+kpw5+06DvEggXzyUWsw8BOIKO620Fby6bYG8tA/oO1jgOT1Mtqi8NsGyPNngI7r1q/e8inI3PC4c6rq+qeC8Soh0PMdW+jnKNl88N5kPu3IsrjwQbPy8VYwLPIqJTbxk5KS76iVIPKs5sTwyygo8D/IEvcw/RjqLIQU8tLi7u+/ImbzHPjI8Ei3FO+B/0rv4GZO80KtAPBl1CTq4Nwq8Xh0/PL+6L7xBxZ47pv7NPD/iMzyOlwU9yxQOvGpx/bytJ/K8e/IFvJN3ijsQ3FK9Ik53PMyuczxWLEG9j1glvPyoszyH1yI9jomPvOI/4bwNElI8hXRnOi8KAjx70r28K5kRPI8fvDuW4zI9o1DJPF8+I7yXla686T6LvPWF8Tsi4ZM8xG5ivMMzVjsVlx270tKivJ4ULT1P3Y27xWcwu8ZC3TsNkS29kLQJvBIfrrxT6Cs9bXe3vNS5obw+aaW8AxYPvc4iYzv3v+U7XBDGvFDhiryPH9u75oWPu+9PrzwvHcC7SiIyPYGT+zuoDIG6Fn9KO914eTy8wwg9xtawPENAxjxk7ea8i3aVup16qrxNBqQ7eqnWPCZSoruAdMG8B9oNPMWt9zz2z+S7hbgOuq3mhDxGmZk6ZBLXvImoLz0AOd08+C2cvD0X0LyM98S8LTq9PMIVLbyNMJe8uD6dO0bxtryrnMC7znikPK3YBLzgNge9DyKQuz3Zy7sDPVa86oQcvKiFHLy5rrY8FSOgu9jgBz1KFZ68zBoaPZb/FDxi0Wu93SnSvAc4XTzfenq8FTXbOjcAyDxd7iu9S2GKO5HdqjsgjdS8ZZaPvOcOjLwELOc8ZDlEut2c4biwt/G8tB4GvUFsgzuBCeU8r+HOu9/GDjzD58c7FYLdOw78GDtU/LM8q9yVvH5eEjzXAv47qH3EO6E/WTzPfpk8cdlEPKHf4TxwfaG8gmFyPA3NPT1nXO28q+3fO/xVobw32J68CUpGPXdmD7z2GJ+8sUwtvAJ0Ij3bvRO8uVfau2u1aLy3yuC8XDXGPENbCD0G3ZY8+XsVurQbCDv11y68F4PfvGJOcjtsy0m8S/kDPfo3STtN7a+7o0R6PAp65Dz1oBK70D+bvH79A72SsG682aoHvCjsZrvaXAW9Mg21O11Ls7woPQy8mZz9u/tUPD3IQbO6g6QOPaoKUTw+ewy89VYqPObkVbszxBi7OtjQvOZPUrxeunC5BjqxvEd6qTxo7v88dsgjPC5EirvtzaS7Wc7IO3yGBryo3GI8Fl/gPAF3gby7Wxm97kdxOLr5BDtqO4m8WWVwPL0s4bxk+Ow8w0TxuzQs4LwxsqC8bamAPH06lTx0zzC88VXGvPONx7wjciw9ryIau/zx5jwKCTw8x1g8vNvLYruBEie8Dd8DPYcq7rzPtcg8DEJNvLD8rTvUNd46iyaNvAtgJb0rBpa8JAWxvIh2ibyrThu83zgVvDH4M7wrn/Q8f572vLsIZTu6u3e7eIQKvSGoWTzCdby8l3gBPPGMr7ybq4Y4WqJ/vBNFqTxk6Ca7zCrXvLCwCTzugpE7AP6hO9M1kbsKdO08k1drvJc6aDnDVLs8nFHAvOZ1/bmLVxI8JiNUO7JwvLsPm6E87hnWPA63DL3p8nI8qrsYPLZ87bsTRvG8txc8OgsvlzpP6nw8G+ohuF4cNjsL7eG8hGfJPH+DETzl3se8RwWuO3EzNDwcNCu98jr0PMWO5DwMqlY8yfTkO+zkOrxsQJ+8LnUoPACXVDu214277A0gPTWnXDwvdeI7J0gqPQSEnTx9VD27JKflubkmCjxxO8c8NxgfvCeK/LgBrj68oAMWPQ4EOD2ZjjC9233DPMy7pry1pYe8hDaUvB3AzjvSP/A4AXC5OtGwwrsR0Re9PhIBvYvalDwab8k8Mem9vDyyeDzpc3O86reyu+M26jvERWk8oij5PBXIozvfZ7u84I7lO69m3DutHdw85dGAOxA4FT0UM8g7kN9cvC1PI70By4A8ForLPIzb7bv0zEy9+uChu74VLbtflK+2kpvEPNswdjysJpU7TKkOPElbLLzXzZm6lQ/aPPoNSrxOCs08XtObPJYpNL1IlDi8NKftO/Bo9Tji2UW86MwwvKTKAr0cZbe83AMyu6GoyDuaxrU8edHFvNPHKb2wUPO7AhSSOlPpBT01PJA7S5HlvJw5EL3WuqK7spwtPPdIKTzDxca8SqHJPDP49LtxmUO8Xg+stwctirxVbS88MX0qPMQCNzy1yGG8ZHCOuyH/UDvQODy9A4NWPDcJ6jyu+Uc8NhGIvGvEmTq4FRg8XFOFu/AwOrw0noW7MamsPDa3YLwhnx68v+P3vPQAVzxaIaY8YHOaPP0O+Dzx4ZM8tzlsvLtg+rvYPoW7YSWcPBc9AD1mLFw7DwQDvfzsD73D8yC8l7+fuw6jS7w2qsy8kdfovK3libxpLOQ8cOEnvCNmGb16hYk8q9FTPDKu1LwjbiA7KxAMu/EwMbyIAog7IvwsPEfG4bzhB4482rZeux8DmDwtgBW8j+MTvL9FBbwpdxM8YkGUvMkz2zzDrNC60GLaPAL6FL1+Kje9Za7vuyA/rzyDqkG8Z8OMPEZjbzlFbKM8OkyYPG53zbsJo5K8eU3nOiFoJTx619C8rwT6PANpybumTja786jROxKzcLxbdCC5j8G/vONsBz22TpK800Clu1jp47rzqhS98oQAPZbg+DyABYa8+rRrvB4Zgjx6sEo6xW8kvEWkSjz8UVS7MW/UvGJHKbyyR5y8fN7gPHgOC7sTd2A8Q3VxOULRMry2cAO9hxwyPMfpSrsKxny7Eb23PPc8CztdQy6895L7vNT5yDxCcpw8vIiivPgiubxqcmA8uBvfu4cChDzW68u7iKCEPPpN5zwNgiG8S6rAu8+XrDoUm+O84VqIPDMIqjyFnOW8Ppa8O1SvBTzAi088wECKPH9xjbvBqKK7mqOVO7awA73VMxC9CX1xPBD/3TwtnGu5Ydj8vPyqUjvlCGM8AdlAPF6nKzyZ/pA8Rs8/vKt8o7uB2DC7+r41OnfOejwj07K8soqDuplO3rz7Gak7+rabvDNeCD10a2i8oiuxvHmufTsvAKW8wnMpuxaXdLye77Y85pCEO9N01ztf6M47XvUEvMZucjroBAg7KAfeOsYKCTwcx3W8zR80PRfhEj3ftO27NaYGPc+XX70ns528mQ6ePAEjAb3rETE8olSmPG022rw9YIm8A9GLPFXPTLyDmBu8F6GwvDPhB7zZYRK9md37vI+FKLzae5i8WHFkvM6oGrtdk2C8UKVJPEveFLvEIik8WvaMu7uHDLwxLFM81643PD5yJDyglaO6iXx2PDfS0bxyL7U63wPEO5OBsrzt+D88znywPB/g3DwlPb08yOwWPMyf+7wSkUQ9C9XZvBXc5rvYC2I8raZnPKqg1Lx3LKa84o+AvEOL0rykdVU8i+0mu1Tx7Dw9LoK7T3HpuzDo6DwPvOG8p4tJPGF1grtF6sq7ACHlunHvGr2G5Q09mBAEPB825TwcYrY7gNtrvLyOpLzrO0083vsoPMZezDtUGsA83mv/O4TNoDwG/xc8wBapPOP6tDxk6IQ8wSwuu/Dzo7zqmP+8Ct9SvGxU9jtid5s8B9onuW/pHbzw+yE9a9dGPFDE7zyYRgW98RrivD79yLxOpZs5woWOPBrnbrzmMmy8NsRFPChocDvCnPI7ph8XvbkUtLwuOZs8OjXSuyN4Tjw7wl47JuP8uyZr1bp07Pw7IfYuvO5Thrxcow07l0CZPLLvrTzJRpS7eEVhvHNr/bvr0/46ORp9uwqwJb0AnYE8nIz5Ow05NLzv7wU9FiqUO3vzMz0d/v26UP2RPP4Fyjwj4La72GdRPdVTnzx+YQ68UQjevBNwAL0nS+K8Cv4LvZetrLrNKvO8QYKuPKfh7jtsPVw8H9o9PCbiezrXMs48NxKevF53O7h6KoQ88vLbu5WeBD1hB4Q8Nd9evACDGjzCLnK6muOjvCJqnTwFORW9ZBL3O6Nu0rztLyQ9KvqzuoLN0jz9w+S7Qd4TvK5qDr28pI28MqEJvWeMGzt1pQQ9hwDjvLVPe7lUZzK8oPOzPOZLbzyqu7e80n41vUcM0TwGZXg7IEccvYEaQDu+yiq7ts6bvEb+lby9Aks8XR/yvPcFOTz25eO7bw8mvNHddLscP5o7/PaovODT0bqQ/gu83ngVPDUF8jwzRfy8/TO5usUzJDuuA7K88o2QvOT0g7yAMWC7aH0FuxJXJzyC0IC8sEyAvEyvazy9XhW9fjyaOwrSYztX/Zy8BfmJuydZ2bvkIBo8bgvoPDpNMrxwjd28CEaEPAS1MLz3mYI71j0kvPbyArslGZY6z8ikPPDPlbzy5fu7xlAVPNIqPLxpPNC7sjCcu4xdQTyG7j49h+PHu/UcQDptqh48ZrGgvDi4fjwqtrS8hSA1PLg/trrP+q674QMuvEkIjzp2Ldw8N7DmPAYE9TsCc8w7jaXGO/+OVTxeIUM8kPKDPDs3sTyTCJe7/zjYu7Ay+rsht1i8ezODvMQblbvH9OM8/G5qPGP2hDuf9T+8JvgjvKA+eLw3drm8uPv9u/ksCT1CcTM7gEKEOysyLbxYI/M8P0wEPWl3DDxG7dM88P7wu6kpxLsYTZy8eKK6vDCl8Tw0rDA8zo4xPH81AbhN2QU9vq6DvED01bsbkeq6w25lPB/e3rwMDeU7dMaTPGOWojx5ozk7yRSIvAsowzszz5U8lVcavKaq+7xFswI9hdV0PK7YDj2iwhy8YDkOvM/QpjuPX8U7pVyBO25S77z46p07pJD2vFtxGz3bkJc7F6CKOpefYbxOj268+NgYvIjrYLyIVfO6PzpPPCFcR7sCige84+fXO0DOuLtz1gU9PA8MvBwu0rwFdtO86HjiPG3NjjqgLgO9rX45PCPb6zyHoxs7qSYsPFVAh7ofBQK83IF1OhyFzrv465+20G2UvBZIXrsDJkm8KoF6PQh2hbvHAVY8M92nPFIHzzspOWU8hVFlO4kes7y1/TQ750nrOxv5lbwfO208d8CSvJzcIT3KeDC8zvy6vJTE4rsBEjm8MLUZOxjCBL1Xfss8bXNyPP86BDvbWaG8rxoxOzfVQDw/ZxI82BLCOqx12zqRF1w55QaiPGOCnLseo0K8fv9JPE84xbvdUpe5LUJ7u23rfbwXrZs8r0lXvLfePjy0jbS8LccDvOR+vzuI6oK8R1dFuxK5jjs7WlK7WjsWOspdWbxUVte7QFCEu063OLw2zN07AmbvO+7errw2CK48lcgfvSKEh7vqUvQ6oUiFvAUlwbuKmtC7+ALeOe3Jzrzt8uG7nz+5u0GaZ7tcL6i8xQeavA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search/test_search_graceful_degradation.yaml b/tests/cassettes/test_search/test_search_graceful_degradation.yaml
new file mode 100644
index 00000000..88f1b847
--- /dev/null
+++ b/tests/cassettes/test_search/test_search_graceful_degradation.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '107'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Custom chunk without docling metadata
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 7
+ total_tokens: 7
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - custom chunk
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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diff --git a/tests/cassettes/test_search/test_search_qa_corpus.yaml b/tests/cassettes/test_search/test_search_qa_corpus.yaml
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+ Jakarta Election Campaigns Heat Up: Here's How to Understand the System
+ As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta.
+ Initial Launch of Candidates' Campaign Plans on September 1
+ After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term.
+ Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach
+ Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect.
+ - |-
+ Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration.
+ Rallies and Persuasion
+ Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability.
+ Debates: Clashes Between Visions and Policies
+ - |-
+ Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents.
+ Voter Engagement: Making Every Vote Count
+ Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters.
+ Campaign Financing: Transparency and Accountability
+ - |-
+ Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any
+ undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions.
+ Before Election Day: Submit Final Appeals Now
+ As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th.
+ Polling Day: The Final Act of Campaign Activities
+ On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been.
+ - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an
+ exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in
+ shaping our collective futures.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 7LmouUubAT2u4EC9+WeBPB4Rn7pxGCG892hoPUQu1bxI0Yk5k7O3vCjIGj3aaRC9cum8O4S1vDyZt+W8lOORvP1MF7y3sT881qJUPPLJ57seGa27WEXyPEuJsD1Vejw8L1ZkPEe6Er2p/eW8eLCfvZ6LVbynE5s8wEs3veE5nrwIdAG8+CebPAx9djrwImE81+A9PPvBhbsH8E88RqmvPAJHg7xuCZs8mBxMPDceR7xdI6k8GLIpPHOpMzxJZ2q7iDuqvCe4I73IHkE8z2AvPLsLab1+tJu8PAyTO5yBBj0/J+48PCAMvE0KLz0Pli688SEtPMQFuDxXG0A8i0WXvNntvbuVUWK7L87OvOKBCDtMFUy7+vSUPEpbpbwSz7o7qWsLPB3ZTbyATqk8SriCvA4aX7yItZk7u43QPJ+w+DvBDfY7xIvXPBE3ibq7ta68L8zlO+mZLrxv2OU8GmKOvJ4oJjybBm48e4Z2PJXxtjwVBzw8CysSPXiVwju3J+I8Y6cXux7pAL0Kx5u8sSaRPAp7ejrtlgK94h8Vu4EbXLtclIM7zfFYvHr5T7qIi2E7s/3Cu5hdgTwli7W7l3elPPLfDTrm33W8yQUMukPwlzsKeaO6hSAaO+HbBDw+pvC8oE8aPLRnUDxYCSY8EQsLPCn6Vrxlt4o6N3YbugbsAjxTN0s9pYgyO3UH9DzZUlC8bMkAvN2vZrz6Dqw8pZAnPJnCYTsAOiW8EvlKugbnWTw+KoC7fLUqPN6cmTvzb9y8etmsvHk0sbsBn7M6YjMDO1dM2jtFjoY7wliLPBhY2Tis94a77KnOPHLaKjx+Pic88gGNvOT4mDxL4d87RWuSOPjnYjskQy48/t3du09bd7t3mIy8SkuSPLCuhrzepXi8Hy0PvDZOILr2JRk8sjMau3GXe7xfo4q8ENqEvKeDAzzgxxa8VoGjvGa3kLy/Q+S8ClMTOxx0xryWH0o8GphHPNFq8ztyAqK7QY7KvEcMw7sUysU5qn2+OmCpJbts85W8g8ZUPHjMzTxUDAQ7YwqIuAn5Hzy3FE48OkLnOxVUlDowBI88xrzluwFpl7x/30S7gyykuweJkrs4ZD48G6HAOUgMLTxibfy8RG+vu+VYZ7xo02W7ifd3u1UfwDt1fcU8kYdiu7o7TLsEeIk8MJJxPKlkizwjtSE8HoO4vBaypjxl8368Zz6ePKm5bLuCaLA88SZ+vO1QQ7xCsTs8FfS+O5Am7ztud1u86LVFPK8mkzkbk928JHBbPPF6BT0dIyS9sco6vW3HL7vXyks5AFPbO44TILue37K8da5yPBVnCzvd5So71BJGvBatDz1rIX08jC/rO6iGPrzm0sO8LixiupZMUrzAlbQ8WrNYuxiP+TtTVpI8tAJGPFhCULuBQZM7qqcovB/lXLzSYEM9pOEUPDwIfjsuWZE8XXNvvEAu0Dsh/UW7At+SPP/BlryUd7a8Uh2bu1/Hgbu6n6I8UnxSO7i9qTtp2CS8SdlsvPbvgTyjNzk7J2XfPD16qDwWodi76MUcvIrCQTsCUYw8F+AaPWRklDtRYyW8kBTKPHmM+7uCNIQ8FJ3Nu/WlhLyp+4S8cABzvHqCy7p+SlU8b540vJwB1TvCSUE9HFNxOgF3ILuwZZa8v2DWvDC8ZbtYIqg8Z15JPHeI0jwJ0oY8qlq8vNVPrjpxBeo8c6/zPP+2YrxP3LK85XsGvXNdErz1fU07NZEEPDjkwDxwaVA8ctGGPFgGdLw/H6M7eyG0PGnuhTy7x9i8JtCbOhHPwzvEMho8Fcx6u5EQEz12TPI6hVa6vE9+D7zkeQk8ka1VPZQeybs/0ye7Eq4pvJUKrrpurkY8T2R1vdfqKjyxv4m878o3PJ2gG72U6c27YWyzPFGC+Dwn7xi8dxnqO1O1CT26g6e8P7dBO23Ku7wFErM8l/ZFvNSvVj2XQQe8Ic8avFMfLDwMrdG89U5KvLhDHT39X6o8hEDGPJ/HIrxxs928NeOqPLvgVT3dFko7MBN5u+g83TwuRPc80PWSPDduyzrQ1t08UpWxu4Hgjjyixyy80Am/vL0kXzyBRlu8ihyaPDCbv7wlAdE83lP+PDY3Mzun7u08lYLCOxjkmzwq3Xm7hyaSvFlhC73eUOy7/jzEvJLhdDxvkkg77oUBtresjrzI5ay75E+6u+TYET0wH+A5CGGBPOyiP7qy5m48oY5MO1gLnTl+i9o7VLWPvMxOCL31wWM8htOUOvPtHDxCnce8/NDKPAzgnDxkgbs7alMFvT65RTyvjx88T5XKvOon1rsM3UW89FyPvDRc7LuDlUc7nUA3PW00djxyzHG7aly6vAdf8bxrBaK5Aw19O0gDzrt+xdM8826DvGMVgjt4Er+8iTlXvBwjgTsT6XU9dsa6vLneALxXHvw6SXkdvFIo+rx/5BK8Du4+PL8GojzrkpK8i2bkPCyj7Tz3Rw08NzmMvYTqJTxt+o27QFgTvJlxyDtDJ7k5BsedPKdMHj2vTZI7GniivD1bBzwNdiq9SMC0uy+W/zuY5rg76TVjvIuhwTvoRv47dEe6PAmjurzO+r68KPo0PL7OwzwknwO8J76LvI7aujiHM2Q7JhC2PKuNxTqj2XI7IJACPVYGAbzNFuo77xjfvOwJ/jskQT05VfZgPB/dszy0EPq8QCz0PEi/V7y0Q4q7zGgRvPxEUbo5mpo9Is4DuzKBP73L+ms8aKU0vIXsp7r8rfU8n2g6vGvg47t0cP6801ycO4n6Gr3r5U08OieQuw4FCL39knq7zJeovOMD8LvXdAC8iKo4PBX1vTzX1D+7GvAGvSevBjyKLPC7GSkYvHgxlTx2Wd66rLM4uuInh7yL14y8btRvPJEfjjyfUEA7x6NevNZJeLtKcQ28Sk5LPIMkWz0y2yE7Pp5KPIk/QTucMBO9KDJxPPLqBjxFU125srbKvKnwK7wp77o8s34GPLN73Tq7BAI8U8uWPMTz1bsm19a6PG9KuVg6mjxuQ107ZdeQunfC6Dws03E8+gAUPTDoGT1Bibi8YryhvBAxKD3JXTg83V/NPOUBUjwe+SW9FOvCujlWVDwQd6a893tZOyfkKDp1GjY7P3UEuiSPtLxjwFC8LgAEvcFOgjwgSuk8aFo1PcqnNrxm/kU7qkvNvMBB7boDEuQ8YSmVO8cxS72t0qc8CFlaPFqPgrtCcZ+6QBryPAPQYby21tC8ByNWPJ+vgDwgYQI8bjO3O1M+9zzMjQC9P+fHPIfYJDq53Jw7Hmi5OxXkpDp2fgi8LIxPPDKEUTx+B4K86vUFvfwp/jxOVuC7DktRvIpx9btV7yW9vc0avYWzLTudOuw7OQNDvfPoeLwRfcM8MufQu2dqSj2QZQa8nw6GOiqOrbyNk7G71RCmPPuSvDsy3WK7+tsdvYyScDudcc08p3obPeNFLDxYQ4O8eecrPOeBDbz5w8I8Zaa3PEY/4zxZ2cO8EexwuwXmyLtPIxg84xk5PDKPJz2ClhM8wjtEvbci7TtpSTG8p19UPJ+jLDwliKq7kEjaOVrOhb3qRCy93sDqvLUz3rtm8948B2FPO7hSjTqgR3m6sBhoPA7Ffjx4B5o8EwmpvFHIVjyFjam7LzQDu3cd07xnspW8C+WDPGd7WTxrT5s8f6ZTPJdW+LqUngS8jBjsu/kZhbzR/bU8IiFbu090trxHNwC9EEP8ud4SEj2Phwc9OngcvK3NubwVNU295a5euqa4Jr0gUrE8RlfeO6SE5jxhTBi9w6smvdhvvDxllbm7kq0/PGTLFj1nKEE9274VPHfRvby885y8N0oSvNktdTw6UPg5HpgEvJYZ6TxirK275pEQvC3lGDxR7NS6CBhkPAh5gTv452+8AY99PCLDB70ADOW7JN+7PP+pljp0pSI8a8InvQ78vDzg3UC9tRSzPGBAAr2+Quy51VjnvFmTPjyYfu87cd9RvDLL5Dw4B0Q8xow6ue9Llz1nTXw8yomfvKrDfjw+ix44WoFfPLWE8jzeHiI94CpXPOWrEzxcYbY7qUSePBy1rjwr2cg8RnUQvG8tfzy+9Sk8dAm6u/zeHby/E5y8j/mnPGKrtLwhttY7DeS9vIu4az2fkjy8+E/pvBiKozuIVgQ9sk0dPURb2Lx51IK8z1YZvXHBOj3dFPC6OUnkvAJUwzwgOIQ6vAmavOclCzxaUGi8YiADvX3UEL1gtqk8ySCJvK7rQjwSnJq8nGhwvFsrhzy2qBK9V6rLvK5+IbxWz4w783w2PPstPL0T6Rc9EQFju9OU97wJyWY8I7YTvBF1zbwGEok8ocObvN8TgryVPvQ7BPgKutvdbLxDzuu78EohPVBZEL3tDAm8vziyu3c9Dz1i4bq8oLnmPH6Na7wXJz27jYbxu1TeAbww5rg82lKPvDnwUD3hprA69x0+vY+nDbwGYsI7CvhNPeVix7sNa+u2pK2SO2DIlDxiKF67MaQ2vf0fM7xCBwM8Ed3TPCJelbsDuIg8IJRKvWpznTxyvpS75xd8vOeDTDzuLH68jkKIu0BZkzsSemA9//4RvSZxUbvIZpQ8YwqSPKT4xzxQjHK82DbLPBun5joVcls8WLHqvG5bC7qIrbM8dD2XO6rj2DsZvqu8VNPsvDLLjLvrvzq8d7miPJQHpzzPsUU8eU3UPNOolbzw/xg9IYZTu9irgrrhwr06GuKGPCxADTxbJYW8SJFIPezrAj0u9I88/GkHPQt9ODzvkqW7IvFfvPLqqDq2Blo8EbSovAGOv7sa1hU9RfGJPEjiHbo+2Ee9yjKPvLdvmTuQVzW9CWk/PDDfsTzmTpK69QnHu2UjZ7vSkGQ7cc2LPBq1gLpRCXs8ozvovKvPXryfygs7+8UivHVXWzwO94G8hOuMvMVuBzwq4Fk8CVJiPDn4KjxjX9Q6KdWkvHkNAzxALam6ebA0upeyQby9YDy8r143vA5yurqqXzE8gDDCPHRqEjsbqvk8zWXcu5bdF7xUyUa7hOk7PfsJ1bwP1gu9exHUu3f7J70LeCW8m8SvOzu9GbvkrUQ5DsxYPD/GsrwmAVw7TC9buusR6bqBmLK8Pa0QPSO3wbxiLsW7/nR+u5I5+TtCbhO80a0HOlY2wzyyI4w80UUUvQ86wjyz1DQ6TmTIOyyK3Lx0dIO8KOG9PLvqMj3OKqw8qp+VvG5hWbxdTWG82HjeO4shvLzg6BS8RXT/Ox8aKLxzA687t/U7PfblHD2LpgK8+NmqPBkwWDsLPfW616EAvawOLb1HhAo857yrO8vPVbx2E7e7KGEVvQ3R+Dt+og+707ShPIgktjx79ik9dIY1vXSNubtoL7Y8ij7Quyiu2LwIEfs7cCcjPAdwR7z+XB27vNebvA0hzDkZdoG8awA8PUqPyDyjIe071gqGvKHyhTu1foo7V0DwuuMt0rss1Bg9p0+7vMJEKTyHwgW8WTloO5qIQrw+MBi9njxzvH+vmzvWtN28/rVsPA4pVzsI8/g8ZkQ6vM8mHzzmYEc7pqyUvB6jBzw/srU7B4MnO0R3Cr2AjZQ8y+PyvA+ZgbwWTjQ8iZYaPKvEszzEkvo7PixJvHhBW7yCpKC8SikCvc+SCL2XavO7KN2WvFI1ATyENiA8Ag8CPVVQHzwjxXe8sOW1vEMCBjxSQOk8eq7fu2Kjhbtv+x68rgoOPXAnmzuOU/O8V8ryOhTYwbze+QW7q79rvBRzvrxbbVe8lG2WvMJ8IDyAJl68ma7pPJOVl7s0oiY81IdkvCf+KbyuE4O8qZCPvF7VNbyt1wy9Idu+u2wJ0TzqRxi9dojsOwB/zzylEy2879CaO7MSm7qx5z+8P+4WveRy8zuRxFI8lGyzvJyXAr0DB8o8jj8bvCGGUrz2iYy811jxvNztybzgTBy9N127u6SQTTrxbTu8HEKUPEOUwDsZnwu8PL+Nu66LQbvbAbS8itzmuw4FerxZv587f8+gu4PY2DwpFTu8ApAzvZuL8rwOgCg6UwYFvDHa57xfCBk9JWPiOy9k5byiB/08ouaZu2LFpbyqmI478yCWPCIYGTz32DK8NOwkvHJiNT2zTR28EoPvPDggiLxOSog84fWRPPYa1Dvm63i6eO38vABk2bsjVos826PRuxF7k7yxrz084tR+PNA11buEM/+7sVEYPEPbprx/55M8sRFWPdgYnjxVG9Y8uDFdOxaGAb0S+II80tWCPFxeTjw/cQ09TV6SvGTTmTv3boW7tLQNOmGzGzxFQbk8a7gOvVnhGb1kIVm8UFOTPBbJvzo9WpG8QYO2O/9NY7x093m8j9YVPUKt5DzWFoU8q7qrO+PD8DwV21C8e7F5vAkmkbyuEyS6of0qPCAa+rxJ9Mu6d1m/PC/oXD3qzkC8eQsYPTYQxLxb4YQ6IiRWPO/TSr12M4G9gr6mPCzTpLwIFxq8o2KJPCn4IDv3cCO82H3XO+R2nTwtrSC9lLs/PeoyhDyXZls7wfNSvLR7nTxA26q89rP5vCVlLDyb9Qm9mFEBvZvTyjym8sM7SMKqOwyoF7y1tae8/lGQO0N0Bb0NDCk79mGiO5euiLzLmO+7BvMuOyXVHby69eK8sA/DOykmHLtxdBM81AQHPcJsmryCOes7pFGMvNSu4TzV94w80sh6PPlkVzzhB6c8YseCPBMU/bv4ebc8Av0nvHSKNr2lGj08zYejPIocArxn5gy7wL5PvN/71rz7OPk8uFWEvAyAibmlix49VIWXPJrv/LtWgZU6nRRKPDH3C72Erws8nDp1Pdppnzs3Uu46DW9HvMS+cjtXIdc62GxgPGmxHj3ThgA9MESmPOpgrDzegAK9994gPRt6RLvcQcs8BjhuPB+TXTxstUK8wfRPPd0XiDw6GfO8o30rPP5+s7zscbm6KH/NPOx/SbvDV2Q6H5XmvFFMybruuJi8n1l6PD41Ybt6pQo9neQVPO1N0TqwYaI7UXipvKiEaTtWqv68VsqTvKMLNj2Eaqk7PdsxPDGllTyaIxg8OOf0POHt7rtNlfu71wkWPEEjEjw1kxg9622tO015+7yo7g88cfdyvGHWSDyKzTu8A24CvFCHArw7nBC8Qbctu7/Ljrvaw587jTSbvDnYI7tNKuI7SOltvJEp+jqx1IA7xSOdPGkltDq1vR893zSFO5x3Bjyh6bo7ijUivLffc7u1KLu7DZ6aPBs7qDxjb4k8mxdTvFB/nzwFChQ8twGgPNZUkDw2a1s8mjDGO8xno7xg+jK7uuKJPIUtP7yPGoY8dfJuOyMLVzxZJ+m8+p8hPbi9Mjq7FoO7tgXqO5zaGz0D9Sg76f0HvD5CYjwWzSY9eXADPZQuoDwRizi8EwsrPQa3ND0+vO06g0DtOzfmw7z+PKM8c0X3urQf8bvMsDM8IzmKPKaaKzy0fpc8fb6Xu64xKTyDELc7QoJDPOb9erxKF6q77gAVvG+TPry0X+I78zJKvDqQxLv/+Du7GEJGu+k9szvzqJU73MOYPDZ9hrzTCI08iykRPFdyD7yA3pk8p/zGOpZxJj1rxD672fFKvadWfztcIhy8+aO9vHweAT3D2co6eXZXPMbdx7u8zM485c3KvGSBHLydI0k8vXFHPDoSirzR6V08j2KrO/fZBT19QTG7xPmWO2JeSbzsVTa8lEXkvHCBYTvJmLG8xp+ivBSGJzzlLgw9K+rHPB0F7TxoGl883q0+vCaSNryY0eY8TV1HPPIIOrycsJi7JlMvvH9KMrwL0nK6Id8EvVD6YDy+IHS7WBHeO8kU3bw6sxO9k4IDPZtw3jwXv4s78BsFPE3iUjpHaTI8Y5wLPVvBlbza3eK5i5XVPC1bDj2D7FW9G6njvPoT3rvvN9K8zgcJvPbYGDzQ77Y7uCnDPJL03ryMVdq8bZhVOmIl+jZUXu28WtasvFYlzTzFUyc7QN1/vDQR6bvKWse8FZPDPLtpoTvdJKC8aNvjvEIrJTzFnHk84LjJvNGd+LzT38O6RFtIvLDCrbxTu++8Zgc2OQAWBjwJFcm8kQjrPP3n0rwf6zk7o/JiPP1UUDzUlbK8rxVKPePnZ7ySF8U8O5WRvBA4lrn1mhY815xQuhX7pjxfDym83sSKvAiizrzLTsk7ZNtYu9oDBjpNEps8kjNPO3Upijw/uMa80iGjPO0b17wTIN08oSihPJIblbsQQ1U8lT2dOx9J5bvvl4C8Vm4jPKM4UrwSOeI7AfUyPGl6wjz+kiS7yUK1OpXLR70oHRE8Qn3xvCZV1bzb6ZQ79oyEvNQ3Lzw9ZbM8LWOTu36aebzKB7y8HfxvvHPEMrzNE1w6TKMcvfpUWTsFH1I8uykQO+sCtDzB3Aw8wWppuTWxxDzKGEq9zLkOOxviDT0pECA8yuQoPCa1QbtRA5c7T1QbvGOKp7zqSa27YA+UPCkYDTx23EW7aKrNPIrJQDwsDe263JEMPDCRejzKYyU9R45nOh0kYrxJhoO7q/APu9Qq3bviWF87d84WvHpywDy3c747n9DxOwOzFr3hTqK8enXBOhCoV7yfUMQ8cOCuPOpTmzmj0lk8BdA8PJqzJLpt8jk8WAcivEgfO7vg6Lu626Izutn2Xbw44/C7KvN9OygtyTwkRaG72FLeu/DFuLvrB8q8kMBGvaysPL2sFjw6C0ymu4ZHgjzGUQ87mPM7PPsONjxJhcs8OH0ovArbmTtEl5+7wanLu2wfq7wTt7K8u5VkvSqcJz1cxd28geSsu+puS7zPtk28B/43O7isAL2vATy8YDZQPHu6xjzRBjy8jwAmPA0c/Ll/1im8lx8HvLDj7DvE4Sc8NKv9PFpwhjzh88a8LnCGu9l3WjswR6M8AwGCPNR97DtY6pa8vyXCu9rjdrrpDa28utvfuaBdqjwMkZu8+sCSu04ODLpIZek7lUmYPBo0Gbx/WEY8PCT3vBJV7bs8kqC7CAd3vAUdpbwPh7E8dTSRPHKFM7wkW1G8FdWlOyK957zqKcS7MuASvLMiijtKdFk8S1zhPLUgN7yGr9S8HoSiuye1mDy8BmW8/VY3vLlR7TslTgA9Ul/bO7cDIT2jwEK7EcSOvLBgNzwsNdC8BQ55vAmTQTzJDgU8iEjNOxTNyjs7pee7mwOgPNhbxTyWOdG7pQxrvKb7u7tByaS6WtzJO8i0N7xNxsS8CzMsvJeiu7zLNMo8i4qPu1XABD1s6+E7PdutO7diizv7B6W8Vvn5O5GpkLzmd1G7hOjJO/XGbDo/wC48ZEK1OzCEAryx6yo9VnStPOSLETvUdju8tzMXvHITGL1MxcI8y8/FO/PIULu0frA8tNIrPDgODz18DO28ws2OvEao27zs9BG95cuKvP6q1bkWbT86427IuzOLtjxNA3O7d++wut16DLywRde84u8qvRRmf7w4hq48mUryuZm29Tw9xcm7iiEDvEIFyLrrY8m82STLvKhZVbtGyUA8H7yyPMq1HL3j1aA7f21BPHTBPTzmOJo7vdo2PY6lXjxUHqA8l4vLOyyhhbzqEVC8ErbfOi2CoLy9YOq8AAoVvQpCyLx6k748NgKvPNB3rrx7ajC7BVsjPAu9bbuvrTy7EoM0PZ+gCT0aTe88Dc34ObrFFDycJj28/dq3OniHObyc1H08q15LPBbcSjxHTay8Ad+CvIpedLvj7q68zlpCvCNyejuAYDW9uXDwO202JrwwuLK7rom4u+gYv7sY8U475+d7O/R8gDpM4BG8xPLbvFHPnbyVZNG7TlfiuxvqzrsazGw8OXIVvWbWtDzx/6m71EDKPM+L4ry1bg09KhcPvdQ7wrxK8Py8mXRPPBoNEb3g0Iy8oArRuwrA3bs7OtI79v4gu6ZhIjwg2Rs88u8JPDAGvLxRTy27QthKOX+ZAT1xMQW7cwPGvAMNAzzN7IU8k3ZbvCpjKTy6ipa8jnPtvDsN0zraSDo8FxNMOpsj/blr+t088gmpO2XR/rwtZmM7rNNpO0CpIzz8BwM7qCogPOg8RrwQes08W+bGvCfpuLx9kVe8HsegvAWSkbwb44q8uHwPPE5rmLqt/hs9LWbGPDNg+Dvz1UW8FYpqPKsat7yAnho9qkpqu42jYDw5oSM7eHQBPFzllbx7n4g7CYQZvK/DK7z+dRe8CILEvDE17jv2xI+6szmsvOWpAT1NEkM8rRlJu6goWDyNWRq83Ajsu47WsbymboS8QV3YO8mtBr1Sopa6PqwEO/JizTynNz49xFqYumDzlTzG3Y680m8kPJe5sDr9CMW7P+DdvFmfG7sFMHi8NJmhO2h6STqmjno6ALGsO7jtrjwihAi6wPdCPMa2Dr2bXFk7KlWKPCy9aby1R++7nYadvCipoztZW8C7ae2KO7gPcLzr+I07EiUBPW6s9rzu1IK8i+g1vSqQATxJCb68/9GjvEPBRbwfMKE6mvLku2LRirxmHm28OByFvKdYT7xw3bG8ZngbPSnyDTzTJi28pFKmvN+29by/4Ay6aGbBPFExcLsYMss7Vr4xvB9Fvrs/p8M8E/eEPMIPbDto+AC9sbSUu81A6btTdM88ZBqwuwLXJzxfUx29jmflvPto6juCfwG73Z+OOQOOz7tqmkq8t6dEPDKC3LvzSHO8qGgtvC0c4rvNar+8AStcPGkpvLzFmui8ZU3cPDNy5jxVyHE83I5HvEbiBryOxDc55rvevG5PgDy4J/k8QfocPMr5wDskz6C8YIKyOvhTNrwcS5k7NwHFvOAbvryRTyy98yEhPR0Bsry7eWM8bI1AvJ8g0jxLER88UOvRvAzDk7zpFIk65McAPazrfTwy7dG8RscLvHgQDLtyMDy9WxPRO4mWALzZJ2G8sfAku+BTi7wvVzC7HIh/O/yB+jySnvY8+OsAO7xiBL0JSaO8xTCEvE99g7tn5JS78x4pO/kGhzwucIY7togDvVDUf7z+bDI99c8vvHBCaLteC868QdJevJq3iLvmvYi8H2fBPNryCzz/jnW8QlwEPV5Y5Lx0YAa85VYWOdNJpjyC5Og8kx+RvKfSSrxFKn29kBbBPOs5UbyvX807xLfbvLcEvrmCrDo8TolwPEMns7snv0O9JGtNvQ7CAz0lqs28YHHjvLVYG7t0ltA7phIkvOvuZjvvXpa8SVYHvF/T6LvxKbO8ahBBOy9PcTt63mW7pDBcuqNsILxHy708CoOduwcDx7zfAwg8Nhl8PFMEpTu+Abc6RpZzvPnmPz3RM4O8TYmDu+0jAj1Oiui8nvEtvKvYNTqGJd67fBeZO8DMBbyj57G8lLKtPPiBkrvm17S8i+aVPB5xGLzRCwC8XJ68vHnGIj3sGJS7hhdnvN/E5Do3X3q8yaZzPGbWm7w/pjA7tvc6vKR8Gjs5wdu7pvSJPFnPD71ctUU8TkkMvVFM7bt7mME7fiYSvYpyfrvhAYu8GQgCPPAhBLyl7zC9uImUvMuyILykCqK8G0h3PF73pzw5KQC9OzsuvFi0Kryw9Te8AkDQvHRlSru+eEm8KUm3PBuzz7vxVMm8U1iBvEPY+7yeg188ZF+GPChCibxG+S48RxuOPB54RDxodZI7WrqjO8U35zw3ZqI8KVRAPJUqnrzJ7sm8rZkEveUwpjuyq1q8kqecvEMvZbzMu7K8kXRwPN/yBryZOZo82fbqO4FCVDwzdc+8OnEKvJNtKjyYnOY8zyeEOzkoiDwFues7X0hZvCQpLTysW1e8M4oBvBKUBD390BI9Y9PGu5P7Cr2VYUk8CwU+vB9z/TvApLw7K+YvOk8XRbsFjmS8vsh+u6+jdbxy5/s7Cu1XvLd5a7xYGwk8X7fJvJEx/DtTmFO8sE4cPUIZhruovFA89eeIPPrkuLxhs4G83wStO9V/0Tx7Qry8HbC9u5GyTzw+2Xi7JdX6u0ZOjTwmlDU80eEHvWaHKbujK7U6a3NWvGuEn7uRnos8POouvOCmi7r4WrO7gHoGuw7lybtAHrg8cjH5Ok0kWzrH7JI7l3rSOrCqILwVTLK8dOSFOzU5QbyTj3k4hp2xOYqbxzoFt3u8G2F1u1gXLz3WEgq8J8jJO+10sbxsZE28qXEoPDt7D7tFoOU7ppR1PDKzf7yZ2Fo9i0ldvLVIDD10zlI8BW6SOxDDHDyUl0q6Mn7cvHlJhzwGxtC8YICou5cqGrxiqyQ7M6I9vCn5hjy1wLM6yROhPLEBLTv4uYk7pwLlOX76U7wGA0s87XQhOyc9UjwcB9c8UUHiPGRpJLqVEMc8l1Wcu2x/yjxDc7U8cRQePJLTiroDYaQ8Pe8BvE4TOT3Z/o4883t9PFHrubytmLg7se4zvW0FUzvwJGM7NTczu/qMsLvIFYS8oy8zvP9qQDzHWuG78VuPPGKjAr2D3B88WjgOPDeI1Tz25Nu8unAXOzT4wrx0Bqc85pxFvdpC1rsY8ZE8seKqvJwSmLxPe108mLq3up99ATyX8nA8bkzgvMczG71t8Qu9xhGFvLgU5Ds4PgI9ueQAvQaOU7wVY1Q7SkN9vGMytbqrNSo8BXSNvDZwyTxkahY941ETPctjtLqHFM68kpi5PAeSOLymS5m8tECHuxtDkrzQ+Ma7zEeBO/MXaDyue907Slk1vHHtpjuslgO9882VvM3pGTzHAi48fShNvJejb7wXZJi8ldPqPDEkrjyXQzE9INNpPK1K0Lyt75S8P0unPChaQLz4VxE9s7oDO6wTJ7xBVYe89+Pfu84wCj1UxBe99E36O6OsUbuHCqW73SgqPehBpLymFj896Q8LO2kOmjwcsnI802gOvSiQ9Lx/0Ea8q4FKPClzlDx3vyW8w7bzOyKpu7sS86k8uu1UPPOeaDwTLxG98QMIvYVe8LvYNKu8qPXkvDp3DL0FC4W8KxiBvHKpGDyQWUs8AJQOvI50e7zk0gy8EUz7PBlD+bzuYWS7tJiXvEmCpDyOCzi7SbuGvNDv0DwmprK6emUGvNHR8rz9b8k8ev8PvYDEgbw5aB480Dr1vPjbcbzmq6E8Wz2zPEClDrwIbNi8XbOhPEjFPDz3b/I8vncrPEVvxDwKCBm9W5bJO9Q4zjwHq3i8hqr4PEzZCj3I95Q8b30PPYOBrTsGitc8rNCQu+zMIDvlzCa8eXCfPPGrP7kGBqU8q4ZNvKLgJjzH/He8dz8xvLduhry5ZfK8EWsYO/+8NDwgYh88/AxsPJHMjDyneRe9vLNivD9rnjzZW5w8BWWrvLS+27x++Ja7za1YPLCCxLr7Fqq8aTPmvD5MDLyGteG8Jev3vN6ECD3EprE8aEujO3Rghrjl+us6dY6NvMJfizwpski8QoqaPDKcCTyh2bo7vBUku27IL7zrXQk9VOztOx6IJ7ze5Cg8L9kEPcholbvVSWq82/g/vA4N9Lzm0lE84AwHOkk3jbyiQmm8H5cJOhDfr7yMQuy7YTqsueTVKj3AnO07iLQVuwH01TyNXbq8AlTdPAwbULzzOi69w1MKPI3MiTzrWGY78+6jvIHNdrxO/Rm7eU3Cu332P7xcFp87BqjZvKrtsjx9yAy9Or9QvMmZsTwZ6vW8Q5ZqO7qIEj1yIBO8uPAHuzkwpLt3UCC7qhRaPHoorzsYmCE9gBhhO4mGozw1gmk8I2YXPA5XErxPvKy6LD8fvGNwTDuUFwm9vSZKvMHr6jye1Om77hR6ugL4t7sfz8+76ClDPZ45fj0fcwy8ihHSvCxjILyYT9C8N0TSPA==
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Seismic Preparedness in Tokyo: Bracing for an Unpreventable Earthquake
+ Tokyo, Oct 15 2023 - Nestled deep within Asia lies Tokyo; an icon of technological progress and cultural wealth as well as one to which its citizens should always remain vigilant. Japan's capital boasts skyscrapers that puncture the skyline while trains crisscrossing landscape, yet is threatened by earthquakes that often come without warning and can have catastrophic repercussions.
+ Understanding Seismic Hazard
+ Japan lies along the world-famous Ring of Fire, making it susceptible to earthquakes. Over its history, Japan has experienced several catastrophic events that caused widespread devastation - most notably the 2011 Tohoku earthquake and tsunami which claimed thousands of lives as well as starting Fukushima nuclear meltdown.
+ Experts like Dr. Kenjiro Matsuhiro of the Earthquake Research Institute in Tokyo emphasize its instability. According to him, Tokyo lies at an area where multiple tectonic plates come together, meaning earthquakes can occur at any moment - it isn't a question of "if", but "when".
+ Government Mitigation Strategy
+ - |-
+ Japan is taking steps to prepare itself for future disasters, following reconstruction efforts following previous earthquakes and adopting stringent building codes and policies that integrate new technologies and research findings.
+ Infrastructure Minister Ayako Sato stated in a recent briefing: "Our focus is resilience. We have invested in state-of-the-art seismic technologies such as base isolators and damper systems which are mandatory for new structures but encouraged for existing ones. Tokyo's skyline stands as testimony to these engineering marvels - buildings designed to bend under seismic stress rather than collapse under its force."
+ Additionally, the government has allocated significant resources towards disaster risk reduction programs. One such initiative is Earthquake Early Warning system (EEW), which can provide seconds or minutes of warning using an advanced network of seismic sensors that allows citizens and businesses to prepare themselves for potential earthquake impacts.
+ Community Preparedness and Public Awareness
+ Awareness and education are central components of Tokyo earthquake preparedness. To this end, the City Office has instituted annual drills on September 1, dubbed Disaster Preparedness Day to commemorate the devasting 1923 Great Kanto earthquake. These exercises involve citizens, emergency services personnel and government agencies simulating disaster scenarios in these simulated drills.
+ - |-
+ Residents and families are also advised to keep earthquake kits handy, while children partaking in regular earthquake simulations in schools are provided the chance to learn lifesaving behaviors at an early age.
+ Mariko Tanaka is an appointed local community leader of Shinjuku district and oversees drills in that area. "Preparedness is a collective effort," she asserts, explaining that when disaster strikes neighbors must look out for each other. It isn't about individual survival alone - our drills foster an atmosphere of solidarity and readiness among their members.
+ Economic Measures and Business Continuity Planning (BCP).
+ Tokyo businesses - both small and large - form its economic backbone, so all businesses must prepare for the worst in order to ensure its economy can endure and recover from seismic events. Corporate titans such as Ryohei Fujimoto, CEO of an electronics manufacturer, recognize their responsibility in this regard: "Our disaster recovery and business continuity plans are as essential to our operations as any other strategic component," Fujimoto states.
+ Businesses use methods like supply chain diversification, remote work policies, data backup solutions and structural reinforcements to mitigate earthquake impacts on their business operations. Tokyo Metropolitan Government also supports companies through incentives and resources to strengthen earthquake resilience.
+ Health Systems and Emergency Service Readiness.
+ - |-
+ After an earthquake strikes, medical facilities and emergency services become a primary focus. Hospitals such as Tokyo Medical Center have developed to become self-sufficient and resilient against earthquake-induced ground shaking;
+ Dr. Yumiko Hashimoto, an emergency medicine specialist, noted: "Our hospital boasts earthquake-proof equipment and supply caches; training on mass casualty incidents forms part of our curriculum to ensure swift and efficient responses in case of mass casualty incidents."
+ Tokyo Fire Department, widely recognized for its efficiency, remains vigilant against earthquake activity. Fire Chief Satoshi Yamada comments, "Our teams are equipped with cutting-edge rescue technology and undergo ongoing training to meet earthquake-specific challenges such as collapsed structures and fires."
+ Seismic Preparedness Is an Ongoing Challenge
+ - |-
+ Tokyo may make every effort possible to prepare for earthquakes, yet they remain unpredictable and unpredicted. Therefore, Tokyo remains in an endless battle against nature despite efforts at mitigation. Tokyo's preparedness involves not only taking measures but adapting them continually as well. Akira Sasaki is an active part-time volunteer software engineer developing disaster management apps. He and colleagues are actively creating AI models which analyze seismic data better for patterns while improving early event warning accuracy; "these steps may seem insignificant but every millisecond saved can save lives," according to him.
+ While efforts to bolster building and infrastructure structural integrity continue, investment in renewable energy sources will ensure there will be alternative sources available should power grid fail and keep cities running.
+ An unpredictable earthquake looms large over government authorities and its populace alike, necessitating an all-hands approach from individual actions to mobilizing national resources. Tokyo's bid to improve seismic preparedness embodies human resilience and foresight - it embraces its vulnerabilities but refuses to be defined by them; while as the world evolves and climate shifts so too does Tokyo's challenge of staying prepared against inevitable natural disasters increases accordingly.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Prepare for the Unthinkable: Port Moresby's Tsunami Drills
+ Port Moresby, October 9 2023 - The Pacific region is no stranger to natural disasters, particularly tsunamis. Recognizing their danger, Port Moresby has launched an ambitious plan to prepare its citizens for such an event under expert guidance of geologists and disaster management professionals. Through learning techniques from geology professionals and disaster management specialists, its citizens are learning how to face these huge waves head-on and survive them successfully.
+ Understanding Tsunami Threat
+ Experts warn that, amid a worldwide increase in natural disasters, Port Moresby stands a greater risk than ever of experiencing a devastating tsunami at some point in its future. Authorities, along with Pacific Tsunami Warning Center geologist Helena Loh and local geologists like her are working diligently to educate residents on its risks and ensure adequate preparation measures are in place should one strike unexpectedly.
+ Dr. Loh notes, "Tsunamis can be caused by earthquakes, volcanic eruptions or other oceanic events and travel across vast distances at incredible speed," which is why early warning systems must be improved quickly so our community is equipped to react efficiently when these warnings occur.
+ Preparedness Principles: Education and Drills
+ - |-
+ Education is at the core of tsunami preparedness. Tsunami awareness campaigns have been implemented in schools, workplaces and through various media. Residents learn about tsunami-generated high waves; how important it is to seek higher ground; as well as natural warning signals such as receding ocean tides or earth tremors that might appear before an event occurs.
+ On October 15, Port Moresby hosted its inaugural city-wide tsunami drill, featuring thousands of city residents taking part. The drill simulated an 8.5 magnitude earthquake
+ occurring in the Solomon Sea using historical records and contemporary scientific modeling techniques.
+ Coordinating Tsunami Drills
+ Elizabeth Tairo, Director of Emergency Services in San Antonio, provided insight into how they execute these drills. "Our aim is to make these simulations as realistic as possible," she stated. We have alarms, evacuation routes and safe zones marked throughout the city that must be evacuated quickly when sirens sound - everyone must move quickly towards high ground while following evacuation signs as soon as they hear sirens ring out.
+ - |-
+ Schools, hospitals, businesses and government offices were evacuated simultaneously with school children participating as everyone from school children to elderly residents emptied out. The goal was to clear all downtown coastal area within 25 minutes - an ambitious yet necessary benchmark to ensure survival should an actual tsunami alert come through.
+ Collaboration of Global Experts
+ Papua New Guinea has not undertaken these efforts alone. International organizations, such as the United Nations Development Programme and Red Cross, have provided resources and expertise for preparation efforts. Partnerships have been formed with nations such as Japan that possess extensive experience both suffering from and managing tsunami-related disasters.
+ These collaborative efforts have not only provided technical assistance but have also drawn in experts from abroad such as Dr. Akihiko Sugiyama, an internationally acclaimed tsunami engineer from Tokyo. He recently commented in a workshop with local officials that by combining local knowledge with international experience Port Moresby was significantly improving its disaster response capabilities.
+ Equipping and Empowering: Infrastructure's Role
+ Infrastructure plays a critical role in disaster response. Reinforcing buildings to withstand the force of tsunami waves has become a top priority, while new coastal constructions are being designed with vertical evacuation in mind - rooftop structures where people can quickly climb if there's not enough time to reach higher ground.
+ - |-
+ Emergency shelters are being established at strategic locations with food, water and medical supplies to provide for immediate needs in an emergency. Communication systems are being upgraded in order to guarantee uninterrupted connectivity during disasters - this ensures relief efforts can run efficiently as people try and contact loved ones back home.
+ Engagement and First Responder Training
+ Community leaders from every district have been selected as first responders, undergoing extensive training in basic first aid, evacuation procedures and emergency communications. It creates a cascading effect; community leaders then pass their knowledge onto neighbors and friends in need.
+ Julie Komba, a local shop owner and community leader noted: "Now I not only have the tools but also have a responsibility to assist in protecting my community." All parties involved need to work together towards safeguarding society from further tragedies.
+ Realistic Rehearsals and Contingency Planning
+ No matter our best efforts and infrastructure, natural disasters remain unpredictable and unpredictable events. To account for this risk, authorities have prepared comprehensive contingency plans including scenarios in which things don't go according to plan.
+ - |-
+ "This requires asking hard questions," according to Tairo. "What if routes are blocked or people are away at work or school instead? Our drills must account for these possibilities in order to maximize flexibility and adaptability in our response."
+ Current Challenges and Upcoming Drills
+ Tsunami preparation in developing nations such as Papua New Guinea can be an ongoing challenge, particularly given financial restrictions, public apathy and logistical hurdles which must be carefully managed. Future drills will introduce new scenarios while learnings from each drill will inform future ones - ultimately evolving and strengthening training over time.
+ Port Moresby's initiative to protect its citizens against tsunamis is an admirable first step, yet history shows us that preparation and adaptability are keys when it comes to natural disasters such as tsunamis. By conducting rigorous drills, providing education programs, and providing community empowerment initiatives, Port Moresby becomes a beacon of preparedness - not only for itself, but for coastal cities worldwide.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Unprecedented Cyclone Strikes Karachi: Assessing Readiness and Response
+ Karachi, Pakistan -- Cyclone Aasman made landfall early this morning over the Arabian Sea, leaving in its wake a path of destruction, uprooted trees, and floodwater inundating streets in its wake. Categorized as Category 3 by Pakistan Meteorological Department with winds reaching 120 miles per hour;
+ As emergency services scramble to respond, questions have arisen regarding whether or not the city was prepared for such natural disasters and its infrastructure could handle the additional strain placed upon it.
+ Cyclone Aasman Impact on India
+ Cyclone Aasman made landfall at approximately 2 am local time on April 5, taking many residents by surprise despite early warnings. Although its intensity had been monitored closely throughout its path towards landfall, its rapid increase only hours prior to impact caught emergency services by surprise.
+ Wind and water combined forces caused many low-lying areas to be submerged, with reports of critical infrastructure such as power lines and communication towers being significantly damaged, leading to widespread power outages and communication breakdowns affecting thousands of homes despite efforts underway by crews working tirelessly to restore electricity.
+ Precautionary Measures and Caution During Cyclones
+ - |-
+ As the storm approached, local authorities including Karachi Municipal Corporation (KMC) issued evacuation orders for vulnerable coastal communities. Dr. Ayesha Khan from Pakistan Meteorological Department briefed media repeatedly about its severity while encouraging people to take precautionary steps.
+ Though evacuation was warned for, local reports indicate it was met with difficulty and delays were inevitable due to limited emergency resources in the city. Due to these obstacles, some residents chose to remain at their homes despite warnings due to concerns for the security of their possessions or distrust for its severity.
+ Karachi Is Cyclone Prepared and Protected
+ Karachi, with a population of over 15 million residents, has long been susceptible to natural disasters like floods and heatwaves. Yet its readiness for a cyclone of this magnitude remained unknown.
+ Local authorities had prepared emergency shelters and stored supplies, yet due to the scale of those affected these resources were quickly exhausted. Although Sindh Provincial Disaster Management Authority (SPDMA), along with international aid groups had conducted drills and awareness campaigns prior to this disaster there were significant gaps in implementation which left people suffering in its wake unable to receive aid as planned.
+ - |-
+ Karachi Mayor Jamal Ansari held a press conference the eve of Cyclone Fatima to outline their emergency response plan and ensure all necessary precautions had been taken, emphasizing all measures had been implemented to protect its citizens from harm. All emergency services are on high alert while working closely with provincial and federal authorities for coordination purposes.
+ Infrastructure and Environmental Challenges
+ Karachi's existing infrastructure proved to be an unexpected obstacle when confronted with Cyclone Aasman, with drainage systems already inadequate for routine monsoon rainstorms quickly being overwhelmed and leading to widespread waterlogging, leading to extensive road closures and property damages as a result of waterlogging.
+ Experts like Dr. Fahim Zaman, an esteemed urban planner and environmentalist, have advocated for an extensive overhaul of Karachi's infrastructure with climate resilience in mind. "Karachi should reevaluate its urban planning strategies and invest in infrastructure capable of withstanding an increase in extreme weather events," according to Dr. Zaman.
+ Environmental challenges exacerbated by rapid urbanization and deforestation exacerbated the cyclone's devastating impact. Mangrove forests that traditionally act as natural barriers against coastal flooding were lost, leaving more vulnerable cities like Manila more exposed to nature's forces of nature.
+ Responding to Aftermath
+ - |-
+ Rescue services were immediately deployed to reach those trapped in their homes or suffering injuries, with Pakistan Army units dispatched via troops, helicopters and boats directly into hard-hit sectors of the city to aid rescue efforts and relief operations.
+ Medical camps were set up to provide immediate aid to the injured while international aid agencies launched relief efforts, offering food, water, and temporary housing aid for families displaced by the earthquakes.
+ However, the magnitude of the aftermath presents a substantial challenge. Health experts have voiced concern that waterborne diseases like cholera or dysentery could quickly spread in stagnant floodwaters.
+ Economic Impact and Recover
+ Cyclone Aasman has exacted a devastating economic toll. Karachi serves as Pakistan's financial center, so any disruption to commercial activity in Karachi is likely to have farreaching implications across its economy.
+ Business owners like Hammad Rizvi, who experienced significant damage at his textile warehouse, are already concerned about the long road ahead in terms of rebuilding. "It's
+ not only physical damage; there will be disruption of supply chains, lost export orders and financial strain placed upon my employees as a result," he lamented.
+ Rebuilding will require substantial investments and the collaboration of government agencies, private sector stakeholders, and international partners.
+ - |-
+ Repairing damaged infrastructure will be a monumental undertaking, yet increasing awareness is being raised that rebuilding in exactly the same manner may only invite similar disasters down the road. Climate change impacts weather patterns worldwide and must be taken into consideration when designing sustainable development and infrastructure plans if we want our species to survive.
+ Learning and Adaptation on the Road Ahead
+ Assessment and recovery will take time following Cyclone Aasman. While local governments focus on meeting immediate needs and initiating repairs to damaged infrastructure, their efforts will eventually shift toward full reconstruction of their city's facilities.
+ Key priorities will include rehabilitating displaced populations, preventing diseases outbreaks and assuring public services and economic activities are restored quickly and smoothly. Furthermore, an urgent review of disaster risk management strategies and urban planning practices may also be necessary.
+ Government officials, local bodies, and citizens will need to assess what has been learned from Cyclone Aasman. Going forward with urban development plans and disaster preparation must take into account both what was experienced from this event and future changes induced by climate change - such as more frequent and intense weather events that could occur as a result.
+ - |-
+ Karachi and its inhabitants face many hurdles on their journey toward resilience and sustainability, yet, with support from national government, international allies, and an
+ active populace, they can aim to use this crisis as an opportunity to create safer cities that better prepare citizens for generations to come.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ - embedding: 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+ Manila's Fight against Wildfires: Resilience Amidst the Flames
+ On September 15, 2023, Manila residents experienced one of the worst wildfires ever witnessed in modern history. Beginning at its outskirts and quickly spreading into residential areas due to unusually dry conditions and strong winds, this tragedy demonstrated how urban fringes have become more susceptible to natural calamities due to climate change.
+ Beginning of an Inferno
+ Local authorities were alarmed late afternoon to discover a fire blazing in Barangay Pook district of Manila - known for its lush green spaces amidst an urban metropolis. The Manila Fire Department under Chief Rolando Tiu swiftly responded, dispatching multiple units. Unfortunately, despite all their efforts at containment, due to dry vegetation and illegally dumped waste piles smoldering beneath, the fire continued raging out of control and destroyed multiple properties nearby.
+ Chief Tiu confirmed that the intensity of the fire was compounded by its surrounding terrain and wind patterns that made its spread unpredictable. "Our firefighters are facing an epic beast," he lamented as word spread about its spread through media outlets.
+ Evacuation and Desperation
+ - |-
+ Local government units led by Mayor Cristina Guinto quickly issued evacuation orders. Men, women, and children scrambled to gather their most precious belongings before fleeing in search of safety. Crowds quickly amassed at designated shelters such as schools or community centers transformed into temporary havens.
+ Maria Coronel, a 42-year-old teacher, described the chaotic scene: "It was like something out of a nightmare - the sky was orange and the air burned my throat; all I could think about was gathering my children and fleeing." Maria's story represents what thousands have experienced due to this firestorm.
+ Human and Natural Toll
+ As the fires continued their destructive path through the week, their devastating impact became increasingly clear on both the environment and populace. Once verdant areas that provided Manila with pockets of nature have now been reduced to scorched landscapes; biodiversity hotspots that contain numerous species found nowhere else stand on the verge of disappearing forever.
+ - |-
+ Human health was another notable casualty, with hundreds of cases linked to respiratory issues brought on by heavy smoke and ash accumulation reported by Civil Defense by September 20th. Dr. Liza Magtanggol, a local pulmonologist warned of long-term implications, especially among those living with preexisting conditions or elderly citizens who might not recover immediately from this event.
+ Firefighting and Challenges of Combat: Firefront Viewpoint
+ Firefighters from nearby provinces joined Manila's crew at the frontlines, as a brigade of volunteers emerged; citizens with nothing more than facemasks to assist. "This is about community," stated Michael De Leon of volunteer effort: "we must do what we can to safeguard our city."
+ Yet the battle was anything but straightforward, due to insufficient fire-retardant materials, outdated equipment and no water sources nearby the affected zones. "We're making due with what we have," stated Sofia Ignacio of Veteran Firefighters of Greater Los Angeles (VFLOLAS), but "it is evident that we were underprepared for an event of this magnitude.
+ Harnessing Technology and Expertise
+ - |-
+ Technology played an invaluable role in this race against time. Drones equipped with thermal cameras were deployed to assess the spread and locate areas requiring immediate
+ attention, while international experts, such as wildfire analyst Dr. Ethan O'Reilly from Australia, came in to offer their advice.
+ O'Reilly stressed the need for a paradigm shift when combatting urban wildfires. Due to Manila's dense population and urban-wildland interface, Manila presents unique challenges in managing wildfires effectively. He advocated using technology for real-time data collection and analysis as an effective solution.
+ Community Solidarity: A Light in the Sky
+ As disaster struck, Bayanihan - a Filipino cultural trait emphasizing mutual aid and community cooperation - flourished. Individuals and organizations rallied together, organizing drives to collect food, water, clothing, medical supplies for affected families and frontliners.
+ Private companies were also quick to respond. Sandra Lim, CEO of a local tech firm, described their efforts: "We've provided logistical support and communication tools for first responders; it's the least we can do for their brave efforts out there.
+ Nature's Fury Has Economic Consequences
+ - |-
+ Economic effects from the fires have been severe. Early reports estimate property and environmental damages totalling millions of pesos; hundreds of livelihoods dependent on agriculture and local tourism have also been devastated.
+ Benjie Santos expressed his anxiety over losing all his crops for this season: "Not only have we lost them financially but the worry over how to support our families for months ahead is equally as real." While the government promised financial assistance and support to rebuild, its full extent remains to be seen.
+ Climate Change: Undisputed Effect
+ Scientists have connected climate change to an increase in wildfire frequency and intensity globally. Dr. Kara Navarro from the University of the Philippines noted: "Our weather patterns are altering with prolonged droughts turning landscapes into tinderboxes. Manila is not immune from such dynamics."
+ Climate adaptation strategies and improved urban planning have become key policy priorities, shifting away from being mere environmental advocacy measures into an immediate requirement for maintaining sustainability within any city.
+ What's Next for Manila
+ - As the inferno finally subsides, Manila faces not just rebuilding what has been lost but rethinking their approach
+ to disaster management. Manila stands at a crossroads compared to many cities worldwide and must decide on a course
+ that both repairs existing damages while simultaneously fortifying against impending threats. Whether or not this
+ incident proves pivotal for its relationship with its environment remains to be seen; one thing is certain though;
+ resilience and unity were put under strain and responded with bravery by banding together as one.
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
+ index: 0
+ object: embedding
+ - embedding: EV+OuWSlIb3MxRO9n3YCveBhd7qEgg893o2rPEMj5Txp8oU8DmZovO+/XzuWsx698HT2O2y6Lj2mlU09D4KLPSrBCr1jwhW8h0g6vfWPcbof3IO8K6CNPUVQNz3JD0U73N1bPbJTI70kKOK8LoyIvMDAHjyMJH68wmysvcdz0LxVHLi72bCUu6q2QDorMpM77mEuvLesCTvd6yY8jMoeO8Jd1rz+Pdq5E00FPZ6jabteH7K8oA2pO2Jv2jsxzhm9X7GFOqaDzbxku/g76IWQuhzmHb3OiVK6FKGiu3eRebxeVZw8rJT/uh6mrDxxNKy8cdC8OxaJY7yCC0K8TtH1uw5LkbtMW468vHX5O94z3ztSJwc8aIyPvFr7wbx/jsQ8+UysPGs/iDyFbZI5CktMvAeBxzvpsCc7H1qTPOPWMLzJBXa8wM2mO+rYFTt3ILk790woOuZ3Uzu77Ko8Xb76u6y66bxNJAM7hUIPPOCKVLx3uns8PymUO9XAsrqa4bE8F9tEvBeUirxs8gS8HLdyPJE5CrzH59y7rS/lPPMhjrx1GpA8Pa3ovFg+v7xeVEK8XbimOpvDzjvYgAe6/VhVPPJIpLySJIq8/JjmO6EHj7wqnI284pmpuiXYHTyO4K+8ubggvIHl0jt1U4I8ziArPFWFdrw1aXW9pxllPCOT7rsQuUs9/UkgOlmyp7ynbQO7ZOe0PGbouzvJWaq8FIWvPANhQbye4OS7Uu+GvDUAkDxYbkS8IyCtOxWEqDrMsis8S1lCvD6e1Lw+7+27W0OzOoA4+Dw8LC46hi53O5fgObzYhR8853Z9OySxkrwSrjE8ihnbuZaMEDxnPy48eM6HvO9bmryyV6I8Ww7hOnYinbwTO2Q7hTxouzjZl7o2dpg8mwwfvd68Hb2yjN48T1V+POj8kbzPCYy8rMumOycIErz8yCq8SZMKu5rUd7xJjnS8c+ojPObq77zK4zW8+N84uqa1vTtJo7+8ALCFOyKgR7vCBY08gxl4vI/TTTw6o5A8s3LYO89hajxN2I+8Qb1LOx1K7rqak3y8tm/ou5FY3btSG0885X2Zu82iP7zNcke7Dp79O6lUirwWrp47wA29udmdvzwHf4q8v8mBPGQFbzz/l5+8UEnZugD4lrx6Q5g8VA+SOu0JdrxDQca62yExPO+KkLwRrDm7gl4ru0YMHDxvkfO8FlDEuqYWWDw53TU7OmE2uzvz2rzfEQY9QoJ+PHtjEb1Zfge8WOP8uyXsvTulxa88rNo2vNQa8jwu44C9YJQJPOvwXrvPOvi7rYchO+6Ut7yptFi8MmRWPC+IBDwSaZu6B0wjvEBdpzwQ4Hc82Jvmu/pqqDryKNm8+MmMO10tMrwhNXU74sOjO6vJF73rTCa6hwVlPHMXmTosIJo7GipVvAKf4rwdBe471qgMvOUIWzygw4u8ldkMvDy0cLw6lEa85+0BPCGUSz1DAka8r6hbu+4b3TvDxD09PAa1Oy/YBb2aROo7m61vPJFvabsapq683t26PGZCuLxPYYs8EDhavMTaE7ysp+U8pnorPeHeg7uU4s67trk4PPcMM70Dekg7eGh2vBvQF7z8JBe9jujfuxFRxLxkUZ+6RREgvR1mBT1KM/07bd6HvPW6qrseDNM8FkuVvL7LPLzFfGQ8nVy+OreXvTzrioU8iOBjPD+T1zzDuek7rD2DvMfu7rxaP1O80QKBvXO7ALuxTlU7tilRvJJGCD04NCU89XNNPDCQDryFvUU9RJvAvCSimbkUx/K7AC/yvLLPUzlWPVo83bLQvPs4BD3MsOK7mLcKvbhOQLzNcIY7LSiLu5MjBL1pzaY7kVTnPH0Slzx6iII8grhRvLOxOzyCw7K7OL4GPE0kQ71NSDA8bOnqvNOmTzz8wk88m1Z9PJapvzyAZYU8zEIMvBQaPzyX/Fw8CUSTvOz2/7viDCa8g+cCu4fzyzzz84u9BB4wvP0AjTxHcBg8czi0PJN6aruNU4O6xHzsOwTr/Txsez48bVZrvHslcTz9fVG7+q50PP//QjsEPMs7cj4/uzV6D7xyery8hpxhvAmGkjwpmc665JlRPClrJ714JT48CrfBPEqhPjxr0GO8s/YXPNtLrzzKeFu9cCfwvLWhETxBoTw7cDxdPLuu+TrXiNk7/ey4O7br7rxsoo09CZwCPYFVETwHfDe98thAPTG8qDwzdGA8qK2wO++THbwJIR05OpzBOrmuHD3mErA7Ka3bvEjBjby4k828ALeRPEJtkrkSjFI8CgRLvBWYUTwMFpQ5Wj0gvWut6rswYnk85DKQvPS8iTwY0n48BIxPPRTrhjt6RwW8paKdPPyzKDtCYFW915bvPMppCT2Zdyk9CZ2mPM6jbjxnneM7xq9WvPBgrjvsjTs9AFiOvPAQmzzWOXE8I6TBu343ajzRnsW8RJ4IPGv3Gb1AYuq8k3s+vNaxI73nUla8eH7pPEg70LtI7ac8QlHEufvNprvz0qc8+fr0PA/hw7yl97O8sZANPE42rTsyL++8TYbAOzGrm7znhk25096uvNeuKTs6wSM7+bNGvZFWmrvvS068LsgLPYDtabupX7C8KYDcPMfVLTwL+MI6qcMjPQdvkjtuCfG83O84PM148byL4LM7Egc+vIjNtDsrR5e6DTeOu1yNhLiq08c7edDiuz5RCDtskNq89cqYu4+XsjuRSCG9pbMMvC7SHbsy49Y7u6nCPIigGT3W7vw8CnwrvJ8oUbsiK7u8AfGrPK6kz7yZKng8r6KMPOyQgznG85M72yk0Pbq74boFUsk8MQsJO1hMdjpssd+8j7YavXbPUbzBoh28TjcHPSaWTTzwpMY8fUonvP9oArxlgQa9+XFePdacsDwuMz08+yePPOdDTzt6TvW7G0sNPMkGGju0GTk9q77suxRNID0+82e83P6mO+dPLzwKooq8UZFnvO2Do7xlb7W8bL/fvDcsHL3Td1M8YCvxPPM+Yzx8TJG6VsYkOuwtHj0dKDo7g7ccPVh4RrztRdS8NdeHPCeXlrtXmRa8Yrfwu1ZsjjwLFfs87gcMPRcF3LxccSm9ESDavN8bDrvEA2U8KGZtPOjQgLwaUF87uCPivLzAIr3aJw08BmlSu0dMAz3QgK867p4UvWuS1TqbPCi8HlWjPM+Q6LxA89s8ykCVPCboX715wxw8GdJyu09taTtvxmY8ZNvHO3U8Jb2e3NC86jmyPLS9TzzXW9c7g9MNPTPR6jt3exK91KAmvKO2zrvLrdu7mRltPEagGj2A3yc8Ym0CPE+THr0dbfc7eYynvBWTBr2RDgm8m6Giu2GEpLxFsxg9MGcivDCdybsCEM07B+QgPHpnCLzcp+u8rh4/vP7TMD0fBgC9HV+cvHy1nrtSeSK6VZ4RvbzEAD2m84o817RPO5PopDxFMxI9UowLPcI6A70qWce8A2GnvJtHJTyHO+c720q2O5cAUTwnw4a7tVtpPGpTh7x/1Ns8DfzzvGP/DTyQV248PAc8OqaqzDzHT82862WZuz5iJLq5x128l1sOOuLRtzu7vvM8818iPAypirxSXYU7fNePvPK2i7tqPXk8vyxPvZJOmTyK5wy91jm2vPIwPjyQrH68KgHyOwCHuDwQldk7ACsMvPBtyzxUDuq83Z1LPY7bxbw4uUM9Eb+MvJG41ryVz/U7JafRO4FsM7226i29zz6TPMxoiDygBCA9UTd7vErmzzzeRKC9MBDZO8f88Dz2Gde6avCJvJrY0TyEh4W8SkK0uxtkdTyYkgO8ZyAvvbumwzx5iqg8cfgLvUdWJTwqwhq8UrgJO2ZyWj0Hd628AU4EPJzQpDxenWW88aycvCRQrLzCDwq8lRvhPERhLDx/qMW8jqGXOyi++7yBjd68sbNgPKN8jjyY9qM8A3eFvPivejrQwWC8IzUJPR0G37yZ5Ws8Wkrzu96b17vOw/W8RPS5PIZzFj0R8Uk8LjN6OwRwGDyMYeq7vUzDPA9ZoDwz40o749WmPN+JuTw2pXs8kmzTuwWBBb382Q07w9eBvNrzdD1j6CQ8z5fKPHzW3roLs4k7bI6KPFYGR7wQVp87WpM5vEaOQ7xZGEe8SwLyu1KFtjzUw828l72mO7WJ+rslWhY9mUYkPMuIDrybPLC7AbkvvciC0zuLwr08JwbWPKZbQLzcKlu8oO2qPIFyPrwV7gI84VelvD09Pbxrjp48B+KkvLZgjDylYaU8PvDvu3kSNTxljaa74fFCvWX0S7xk+nm8xF0uPVlopbuLE5O8ybg1vdxeBD2lU4k8u+C0OloK27vyC/48PO0lvGKIJ711DRa6xJ43ug5OY7vjL3I8/30NPf0+crvgMJE7c3k+PD4vwzyZ0pk8dUxsPMhFHDt2jwC6/OP4vFY3FDxhzCy6p6c5PHOknbxc1za8wCoDu3WbhTwqkgE8UlwyPIQ/zjwxbWS8gkFYuwA4FbzbBjk8KClMvdJJmjx0b528Vd24O1exzLuqlRs9n9ctu4WcZLyX6DG6oZ35u/4j6zxFAAK96Lx4PNl2Z7xrhs875BUGvI/txbuaxY27nia0PKJFgT05rMO7Qxn1O0t2k7yBBCq6viGtOylr/ruI14W8V20iPZm+n7zFdp48KTjMvEE44Tocv6s7PAxWPPFbdDx8kyU8+rIVvAOWAT1TUMs68kIOPKcwkDtgKRi9eBcbPFIjqrzuprC8IBj7OiEDVj09FpM7gKkwPMQ6dDwY6ZO6935supJ8bjshGbk81Yj2u9d/iDz2c9E7svplPHfTl7yJHUm8td4HPdUjiLzwIT29HtYJvPRUPjxaqmC6iU0avDCwJj2eY4a8DeGbPOPrgbrMA6k7eQq9u+YxxrtWOoG827ftuvP8ADyAU+i7t5cLux7QTrpPIaM8dorkvEMt7TzXlDE8RvvWvKqQFTz5Ieq8WQ/kOynbKLwg5k480w5EvD3+A717RB89ZFQjvJvg3Du6peS7jp7hvIAiGDw3VfM861UJPPJnkDye4BM7rCohvZLBlzjD2ky8M3U6vD0PijwEORm6PhD8vGDSwzwNIea79C/NPNJbKzzaPAW83E6CPGf4bLwtpgo96uiJvLBQPzzYgIO7g+jWu+e9+bs0ZKY8Z96mvL6ZdLw9Dyk9SSckvFkqx7yEdOo7IU7nO5dw1TthxzA9cyV1OmYzGrw1PZw8e0KPu3gGRTzfHWm9rXvmPGxfTDzmugM994ajPKTjoLrftxy9PjiPvCOqvju+wnQ8KCVDPAcm4rwH7Ww81je3OytQkDzQuUW8d88hvGC+DrkL+6g73T9GPP1mqbvf98g6HiW9PKRPL7zHir28S4iYu6QvBLxY+kK8Xh6tPFKI5zrYl5e8GXQjvMUQqjv9uhA8ovPEPBf3DT1U3D07eu/kO+iaxTvbZLm8jDVlO/87xLwu5xQ7Ury4PIxGDLxljS88Xi06vOQ8Kjwoyhe9c9ByvO1QUbzZgbi7W2/0vPG64DsEzuK7ijh9vDKrHbzPv7m8ol2xvJbZvbzp3gg99CjOu35SADyCKMG6kG4ZvZbRT7w02Jw7t79OPGTWIb1IuDG9ptQXvA8EizyldQ89sf97PLWU5bwJehQ9iuTGu+Ek47qujuI6C2YRPJJLljzD1FW8fpN4PJ9SlTuG3pW8LJlCvHCYjLsIeo06aZkCvJ7gGTvBBz+7wBaJPBHs1rxxXRu7aw4dvCP3S7za55S7eCM+O2gIYTzsJ+e7IkU3urCzkTuRjBK8ingcPIcSPbxLWzy80N4RvfaXYLyYSDO9CD6ZulNg9LtVqfm7ZQIkPdmllLxFKA29Qzw/PUCTLD17poC7+MWkvJaRZryXJCk8wQf2u5ZBFTwPCBs94iGOPPwUq7zg47Q80vWZvNKR7TvOKcY8hSWcO3P9DL0Y5yK8GqwAPavW5buxphy8R+XfO8N27Ltqna48QQUEPKNoMrwpu6i6VSnZPP+ypTz3NGW73I67vKoxALuZaha8KGSuvNiQvjyT9288J3vlvNPsu7xTIoG7EG7QvA7g3LieSfy7axXUPCgi+Dv315a8vL0ePBnomjzx3yE8aKUCPa2BbLxk9Nw7TMM0PCQH+Tz3BVK6GD6tvBXQp7z5n/q76OpjvLCtajyVWbM7jT6Pu1e1j7z3J6q8TWpEuzCfu7xGy6k6CBSKPM8rgbsbSC68lqp/PJPRhbwKJlW72h6PvCrJ4jw6k3A8beX/uyixDDpjNha89hMPPfzwmruOq8G8u8e/u2Qlkbs+5ZE8BGMWvELsKbz9H7A8K3Smu4UAcDxPHws72fXvO6JNj7xQzOO8OGNdvBxwbjqwQzG7YpQNPSuyDLtI+0w8XLvKvNVYkLyHwSc9e22cuhMWKj1nNss7o/73OwjaybxdAL683BdPOz3YUTqrs4a8AnQdPd5x8LySxO88KJ0RvSiOYbwopVs4zBz4u9rV6jyVKlc81A8BvJFLQz2f70o8DFYmvP0JijwvEqK8bME9PVrBPT3952G81JqVu4VIGjxrggK8ndUXvPJdALxH/Di7txaFu22OEL0zzSi9WhkSPR32/joOeoW8OiOKuwM39rykSLW8XvbAvBaznbxYej28U3g7O8FOkzuIyZi8ZomoO55IRztfWwC5KTGvus7f4byntYq5FI9DvNRpkbub19M8BUqSuwMh37z6SYk7ABW1u9pHVzykoQK8PD4zPPopo7wcn/G8oAVtvIg2RzzRZ0c8SYP/u0jyLTwDUbQ7saNTvK+nxrp48XS74EEwPF9kGju96fq8jeNFvXCmPDwTwY87zJ+xPMnRxTx/tZG76mCpvIbyrLxB1I+7r6IRPPgsqjqZX1W8TDVvu8TSHDxkFBg8OifkPHDmzLsnA6I7gXb9O+eMtLuWZPS8hmkivIwdw7ys/NO77/OEvAZwDr1R39a8puDEOx6rWLzZVQQ9nyQ+vL7B4bv7qMG8NpkmO9CVprx+BMq8nG1tPEoFSD3VfuK6MZANvenbb7y2FGe8ZgCCPJi5erxi8NU8+WzfPCudKD3kZ9e8F+gkuhRut7tM4VM7JQIuvNR8Wzwm74m7m4XcvH7QUDzew4M7rgYqvd1HCr31uTM8MiTHvB5apzqOMnm84SdPO/dHsDzpmy07sC1QPKTkDjzrXSC82xInPNR7A71GIqq8UJBBPGS577uqylM8Y2aYvFmuXTzSwdu8t2cVPOnAKrxwh/U6FDqQPIgrjbxlWUY82xQ7O2fD+bskHok8dmMvu1yaubytU9W8AgGXvA467rzg0Kk7L+AVOzlEa7sfTMy82NZ+uk75Fz1zhC48caywPB7POjxG9zQ8VAHxPPUcGbwypJm8qFwMPYXXqbyB5428J4CRvAj8AjxrLxe8XOuovKacCrxai568oN4svPgtTjvDGwS8E/VHvATliLyTeaY6w6D4O47R2bz7kei8LboGvNviK7zIgYO8YfQHvRpHbDzRTzM8r22uOwaelDweC9C52GLbPGwK97ohE+o8bq2pu5VOoLsnqnA7dzy1vPjR8zzp7gq6RxVfvBUn+zwwSWS8kLgUve094LsyRmy8C3qcvJwDjrwwJyg9Kj2EPE1QP7sPbUC7h304PPCFLrx5zg49V3PxuncVejz6yom7RXP3vDy7VbwVKEo86LH4vG+LBb2EeLS7qSz5vJmVrjy+7Jw8Ly2BOWZ+ozwqhp88Zu4Pvb+kDr2LtNY8xJeBvCMpwbzQWyG9O/ypPEdIAT2zw0O85wx2u1qxYDw6pVA78yagPDhD+zsL84Q8qrMxu4MZAj0DCQu8wtOdvL3bzzzhg/U7aQv/OyIFPjzN5w+7s1rDPJ+brjw+BCy9Sd3PPHvFLLwnQQ+95CQOvIzBn7voMKo8SMg+vSZ+Vjp8yue7V6GuPI2ZEr0AGoq8eNQnvBmzp7t+Fd48l0xBu3mhYzxXhEO7tOPOvDBBkzzBesg769C6PGsSdDxfhRA7/+dVvJmJDjxq0t27tlzhOkVEaTys8nG8I2xEu5wRqjw+1py77GoiPDmMrzwwZKA6YBHEPHE6LD2Y9cK8CAQxPYEqmTujHUS84vBRPDW1eTwMzA48gucMPafNQrxZVwa9lBz7PKIsMjxg1Q88mgpAPH8pQzyZ0bi7xLLfvCoNtjoXfAK8LiK6PP48nzz6Qv08USZAPXwXA72bkew8y54AvT6VuryVnoK609mVPHtLFr028I+7LVcgPAYFj7yMdoW8aE0hPOaynbztboc6fcNuvGRoxTxjBxS8Q9F/vBg1TLsjqXA8gSHnu8ws0rvBaMO8NSjIvMlpaTyOJh095xEMvTSwsjzbofO8iQXfPGJ5UTy5L6M8zo6NvG+xaTxDLgG8ihVgO3cbCj3Q9aA5raQbOd20ObyYxPG7ESNZPdIQOLz4qPe7hEKDPOIRGrzOiRo8s/50PWBssjyimQO9TqCvu9BaED01Wj87RMXWPMMWRjxsn2m86D67Ovwyoro8dH888rWhvKy2jrwexta842AKvGhDL72Rit+7CxOPO9Wq2TyRUVC83/2SvJiaKz3BBIy8SYmYvGHOlLzlmkK7VlpsO4Mji7tTO4e8R7ufO5E7xjyxFnq8FmS0u7i+ITzSF6s7o0tAPK4B/jyirJK7ZBOMvI1nRbykntu7TCQOPA/ZkDuJIAI56njIOwCX67pU+CK84v4CvPgaC73+Ukm8F006PP6kW7yvMIA8zZJFvVtO4jq6a7g7G0wQPOvr6LxuQoU8JC4vPFWazDkTRVY8aGhIPEPHAL1aqyK8E4EvvLg9gLxoena7dZKEu5d0Lb1YKku8YKgRPUqrITxnnVW8qpxGPD0V0rla2U28krbNu7vSy7zFEQI858kovZUo8bsORC8878v9OujHvLz9Ncw7GFQkO9NsVDxdM2q8+J1yPKgTTTxfAzI94/5zvMkp2DxDmls7TRXoO+wxDDvhbUK8SqXSOz+4JTu67a28116nPKFb9bw9fr+7cK6kvIOSgrwTgx88HMqYPDYcuryNaI+8Hcmyuys0qDyu3L+8nedlPG0DfTyBpQc8nDYhvMu6Cj0kb4m8P0SnOymaU7mmEag89mbbu9//Mj3xhSK9aL7QPIroKLyCs4M8GrbZOMaADjv+ceM6Qd+Au6O/kLzKFfO87eslu1pyWzxh2yK7D0uQO/vOvTyal5G8YFMHPB5BVLrUN6W5aIiKPMkEA7vPNbK8vCk1vN1OOzkPt+C6EtnwPOz8KzwYMrA8V3vEu1fyNTyh93s89dUpPJiEKjwaUKC8IaITPMJ1hroQRZY7utm/PIy0kryVp0M8F8ptvTHh37rYM6y8vgAUvcDhI7zsBcQ7hXYPPHKdGzt8DHi7rEEjPFXv+bx3niq7isqwvHc5gLzHVl08vFy3vHNymLnRo6m7gAJvuxHe5zyuL4s8TgJ7vLnEHrzs4yw8k5vjuoV0RL0UcIW84n68PCXQRTy5RnE8QtQEPNRu1bvR2Ds82en5PDzdCrxfVOA78eoZvE9alzx1lHG6WCP7O87d9Dpiubq7G6GIvPuo0rxixII7/9XLPMxlOjzjDOw7TnTLPAWV8Dyu0UU8n9ADPLau9DskeUQ8vR89uyT6MzxtwuI7HIwqPJKOorxhq/s7PrFBPS58D72kj2i8uJUNvVtOiLzljis8MtWqvP2GgzsZC8+8oynevGGJjzu5fmg8ap07PKn9mDxwYD28cz2APMUGO7wtXQK6I63EO5Uqn7zzE/68Fc0uvXJ2kLw8mhG8U3MJPBWrsTxa1ZC8Hb+EvAHsHLyTYoi7SuInOyT0iLyjHzy9CxYivJpGJbvXdeC6IulDvNIkQbwhrps8x02pPMAXiDzadRo9Rr42POggMDzvC+U8MlbquxtstTy34Di7XQ4Mu3Chtjy1YOY7E/BuvAgD/Lu1+ue7HLievBfX4rx++Cc83iRPvMM9H71uVc27McNIvWf0vTp12Bs8ysASPGs4NrysRc+8FnBPPEZEYTzvz827nbQXvX6zEDuMUfO76mbyO/aRKbxUFwC90YhBPJVOfjtG/Zo8cwvePKaJCzxrfby8zjvAPLHl6rxahhU80GayvFHNjbz05Dc9kBNRvDvjK7zXFO284LLJvDopkzxSBti7YgZoPHX8cryE2e28gEOevFhCnrx4XVc7JTtEvLkGTr21e2C84aBevQGPMTxTyUA8nw6RvO4yVbtmrPk7ESeBuouPTjs+pC483R5ZPHRhBTvQ8ia6NSKgOxIPGLx8eGm8K65YuwtwTbye8p88ukbFvPK5yLo0lFY7GsTGul3olzuzbJ+6nVdYPb1X8ry/9Fk8XW/sPFYJPTwEEoA5Lp0mvO9UT7xkEZy8HgK+OrErRrukEM28323HvGIyATh+h468oTYWPXyttLtGI8y8w4YSvZvn/bwoOm66/6TjvDu2tLz79IY7c95evM18gzsDqHu8TCNmvJp/lLnI81Q8RbXfvHNzK7ycoME8aFnNPBeVfju33yS73FgSvRuY7DuSRAY9uOltvFVu2DzzeIW73rmEvNRoYrzptyM9OOi4vDc3YjxsAFQ89mcCO7d+rrrsu5G7KYRIO73zETwq7808lkEIvFTfkbzNVq27LVMAvTs8GTsQuy68tM6MPFi81rzvS6G8pb+hO8FZCTx0oTu9R37GvNKtPb3qj4q8fO1MvKhPsLmhGcE8xsR0OzpokDxhuDi90XTAuzba+jojoNE8jQXlvFU9gzz3keu8j5iyPKzkvrxevhs8LupNPGMdmDy6KyG8y5GBvH2ec73qBD48XlycO7d6vLw/2A28s2OLvPCt4zsukoQ8CL4DPDMkJb2LqYq8MCbtPA5tnDvWLi26GQbnvOq8dLrLNhc8iJduu9xswDzbYCs8n5jDvMVRqLyluuW7qSIDO3ldSLskOFG7BiH/PB4o7LsiS4889wAXODDOGTof/628aH4APMxdgTu3MfQ8KVpcPSUIhbsFV5A8uecquxIxMrwDu488U9CcPFWVujzlpUg8r5U/O809GTw+VH+8ZDAgPF9vbLvlFze903G2On4nJ7zeA0k6hb45vCoLVjycyDS98GIRvN75ebuZvZW8ac05vOs1f7sZeFK7x7asPFnLjTw/g768FwEAve/tJDtdanw8HkyTPA7GeTqwERU8v5iVPPosTzwYq2e8iG7xuy9GMjufL0I7ijTIOqpk77ySIRE8LQwdvBHnrzwmToa83hWBPJ8qdDz60tu8L7Z8vEz9xbxtfoK76iXxu1vZVTzEQDI6ZX2LuyJ8qzwq83E6LRmNPCFAPL3zJ0g8ChUPvdTKizwbhoQ8ZRUnPLvBlDvlhso8QxcaPEq9HTt9rZI6bbG7PPKIzDyVRDo8p6rsPBu6kboIzwk82/02ux3Xe7yFRMY85DkBPOWmZDw3Pbo7zxiwu41LnTxYSAm9+qP+Ozo+kLw0Ay28NZyrOwuo8buG7JC8O8Q3vPAyGTziobE6yT1+u9v6HD0apBg90BOiPHSdtLv7/HQ7b+eCu5+aszvgi4I7UD0VOqy5rDuXjbW7wmx1vAkxnzyUCqu8a6qLPCjl2jqHdxO81QrivA/m07xvjJa8NyFgvJ+yybw0XgQ8mAvWPDstlLwz8Pk8n9YnPNxYlLuEO8g7USsaPcL9QzzeGTc8rqi9PAyyPTxZKwa9b1kBPaNLbDwkZa+7hUAAvVTdeTjUlhS8oTBCu7t2czxjKPo8xGIxOvIcabyaESE8fbR/vAJzGby0lK48RI+CvJs9ILueB0C9lN43O3G8WTz6PvM81dHUu97xBD2+CLk8wiEMvRDsTjqw82Y4amIYvL378ToFKOA7KWwPvVFQsLx3XcQ8zoHKvEhiLzwcsQS85ju+OoShTTzwbLM8re+jPAMzcLz7ltO8Y94yvE/IizygO7w7aGtbvBXpdrya/BK8p5i2O2KqjjwuJ4g8kPg+PPpOJLxrla0860xXusSunzvd0b+8BS1UvBgF0zuy37W7EWIiPDAjbrykG6O8bwj8O16GejxVzeu860xNvDoXtDwOCiY8SHRxO/3Tfr2hsoS8FtMBvYCRIbwfSag7zMldPKaSqTwm8cW7i/udPONHEjsM/Bg9Lvm1PDa2yDzekfW74zwBPE/s2DrWomo7ju/mu3LL27k6vLC7Ws6OvOG7erzBZAk8fqqVO3oJH7wZLHS7MELdvAscND2rk1A7lkmKvJBXtzzZMOk8MHs+PG+ErztTHOq8L7KcPBXbSbv9ngM8bijEujjOCrzSVAE9BCBGu1UJqLxldcG7x45BvJU78zuTdgG8xgEhvRTs4Dycoci7bWfnus7h9rw6azm7xTmRPLB1mLxqSDG9Fbe1u/xvtDwxf9k8xQOLu2SWPzzZtgW7QjrBO9cS27x6ZDc82bRuvDvsHzzQP7s8pSwfvKD13TvX7Uy8qejqvMyoqDwZViw75eu2PK+0ATwu8Sk8JcZaPKSGsTy1Mim9phQGvbSoFjyACF67ywDGPJAHkLuNTa+8OzujvIvK3TwrvZE7BBmCPK0GBb1vNQS91BGJvIDqejwsABY7K/S3ux9z0DuU1I+8RuiRO8MYsTz73/e7ZeiCOyZfxrzuTfS76QSou1g2LrzwMCs8OBlxvBc+DDyTSYm8m3BUPD7wRDwv7wq8fdG+vGOLKLw0spg8ludsPPAUZrwhFRu6A3UVvURGjTyTsKS8CQW/PNHVorw7UnG7PCvCPMF+IbywJ4S76daLu3GFfjwshj88KFBIvPX/yzzGSzy5+yQGvHsSvLzH04q87BCfvMr4qTvRmLE8LZ4YO7BNtrxplb48qIkEPC/ZpLxmQ3K7VctsvO6TQrwSSYi8xHE6O5uvgbotqpS8reTgvDIm9DuDPnk8jFQpvRIQmjx7p+g8TI4UO3OfLjzabFk88C/mPNcXq7szOaK8TUyUPLK4wLwvkXI8RQugOzVvAr3Nsq87rXIOPPYPErybCic7+OUsvNk5Kb2XsxK8oQKkPMh/urwOU0w8rnmbPK4vRzyOlQu50NS6PI3RxztpVX87orPtOtjKQjxazUG8oX+AvEjMbjqZ/Kc7rEhwPN73ozwfAwg9/PlbOwo7cjwDweg8NgB7usQgJz2pu6M8ZSKSOja/Dz03owi9vQZGPGyZsTyVIae8sLv+uhd5Drs+JUy7cHT9PPFDR7y0j8g7cuDkvJ5bqLv5UT89/6puvBc9gTzIx+o7f8n/uz3lCrzCG2G88rRBvOnHZzy98DY81lUEvGE4pjtSIA87OgTFOqOjxbxUh5488G8fvIcqtbsSZcS8x3nKPGxtiby0YzO71L5FvZmQfDwPvu08wGEXvXKOcbuJi9g8tvcRvJdhGL3snXC807LhPOZGZjsk/Ws6EUdDvMxOt7zTqM28Tt41vEHGHr1Oj6M7b0uKvFfclbuwGCM8wTA1vKi1UDz4GrE8LBiRPJSRlrydMmG8/qP+PEZ5vLw78Fk8qN87OpvjVbudwTm7Pr9WvEVk57uK1fK7m8WHvIATNjzTAs28lRsfPGkaVrwYoA4687iKPMqpQDzu52I8SLoovJeFFrwjXhU8Vi0XvG4e5LwIMlQ8CsYZPEA/uLwhYG680e4MPVJ3q7w5EmU8fYckOzdUErtd5zE87K2BPfvjoLyYBaS7q4FHPDa0i7wp4ow8AYjHPGyuqjwteIe8VAsUvHfOGD18Q4q8hJ7vOw==
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ - embedding: 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+ Surviving Tornadoes in Kiev: A Firsthand Account of Resilience Amid Ruins
+ Mother Nature had other ideas. Just before dawn, sirens rang out as tornadoes ripped across Kiev leaving a wake of destruction behind them.
+ Olena Petrenko was one of many eyewitnesses who witnessed this devastating day and recalls it with shock: "It felt surreal - as though we had suddenly found ourselves transported into an action movie; however, in reality this was quite real and we were totally unprepared.
+ An Unpredictable Catastrophe in Detail
+ At 5:45 AM, Kiev residents were shocked by a terrifying sight: funnel clouds began spotted touching down in western districts of Kiev, disorienting residents before dawn arrived and disrupting daily routines with terrifying howls of tornadoes cutting across their neighborhoods.
+ Anatoliy Kuznetsov, a local meteorologist explained: "Typically we wouldn't expect such intense tornado activity in this region; however, weather patterns have become increasingly unpredictable; three tornadoes appeared out of nowhere and caught everyone by surprise."
+ - |-
+ Within an hour, nature had taken control over the city. Homes, schools and businesses sustained extensive damage, while tornadoes with wind speeds estimated up to 200 kilometers per hour toppled infrastructure along their path indiscriminately.
+ Heroes Emerge Amid Chaos
+ Vitaliy Andriyenko was one of the many courageous heroes to emerge during an emergency situation. "I didn't think, I just acted," Andriyenko recounted, as he and his team worked tirelessly to free victims trapped under collapsed apartment complex debris.
+ At these difficult hours, a group of off-duty medical professionals quickly formed an impromptu triage center at the local community hall that remained mostly intact. Dr. Iryna Dmytriv, who led her team, recounted: "We made use of what resources were available by turning curtains into tourniquets and using doors as stretchers.
+ Community Spirit Gathers on Board
+ As emergency services were stretched thin, civilians demonstrated incredible fortitude and generosity. Volunteers flooded into areas most hit hard, providing hands to clear away debris while offering supplies and comfort to those who had lost everything.
+ - |-
+ "It was incredible," noted Alexei Voronin, an aid volunteer from another town who came together in solidarity to rescue their city from its predicament. "People put aside differences and united under one collective purpose - to lift it back up again!"
+ International Response and Solidarity
+ As soon as news of the disaster spread, messages of support and offers of aid came pouring in from across the globe. By midday, Ukrainian government had coordinated with international partners to expedite relief efforts: tents, medical supplies and food rations arrived while foreign urban search and rescue teams flew in to assist in finding missing persons.
+ "The international response has been comforting during such an uncertain time for Kiev," commented Mayor Anatoly Bondarenko of Kiev, who quickly established a crisis management center to oversee distribution and collaboration between aid agencies and local government.
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
+ index: 0
+ object: embedding
+ - embedding: qi6/uVcmJju2j4a8pRK3vCSOqbq9LF898s2ROjXbMzyxcYo7E571u7jKHL06zYO87z3EO/r7Rztw1gg9hm+NPDT6G71vzMw6dKYhveiVabrY+zy8G+9KPUVVsjzg7ty8ev31PJr/rbuS9tK8yuMevfk/Zz36w8A8xdFsvdfG0LvWdz08yUe2PN2LYTrbiJ88VdwKPC5avbs6w5K7o/nZvLd3tLwX96c83zAavHRIHbs4dCi8sn5gPSClQLkN7Q69+ja/Ox3Phrw7pCI8xnNtPOT9krs3Jmi8/9iKu1bH7TxXygg98aP+ukTtMbv5+Kk3bimlO9XnLry3YjY5Xi21vMpUT7vX8Bm87jgkPKJktLq8Vxy7sUO5u/rUOLoifGm8TZTUPG9Bgzy5uqg8/42IvFjaTDqwsHA8RqgUPfQiADyiXhM8G5kCPU0ADbxxB4A8m1apu24ACzzv69k8WWwOPJQl5Lyt/IW7Blzyuw6oib3ddfI7rfXiOi/ujrsBWZ88qpAEvLxiyrylboG8r9rFO2AGd7tl6Ke8nSaHPBr6vbw0Wki7dMwpu5m0H7wRx8C7BbuTO/394zu56hI7DQUKPVK1Bb3Foi875zE7PBHwsrsXB+K81Q+gvLn6bLqnhCc85fOHu1MykDsALDg8GQVkO1Ih8DsQ9cq8O/tdPIKhrbvuaKY7LjCAPB/dzbxjqqm7kEMwu0C9LrxEw2W8y9aeO6aVZbzWvIU7O3vdvCulMzwizNy7AtyCO2+PHrt7+5e8e8kbvHko7rzJHG47Y/IwvV1i3DwwnAU8/d+oO2zchTt5U5Q80IxZPC3QQLx9Uf48XK5wO3I5Bbxk0Q87mnvMu+lfhLykHrU73+TAPBV6G7tPswW8BcnzuxkhizwB2xq8fe0ZveeyVbzL8CG87NytuiS9irr76PG8aHDEu8hnHry6C6K8wsd9O/BP5LvByfW8s7ZRvCQ3XTy+DI85s0Pvu37dnbtdq4Y76mmVO4zysbue2bo8amaUuuAMDj2g+sQ70cnUu97BjTvOgCS7oWqtvL2HwLyOStY6Gm6FPNBQSLsMskE8G6dhvLH3DrzD5t+6bEIUPLBW77vKNPw7AV5IvIgoDDwSuVY7IvWfOwJ7cz35dcC6wGMJvKd1S7x4sjI8vvwyu5D/PLtAPMm5uPyeOfdg6buQ/SS8rU0RvLnqgDwA4Pu8a8IQuwrM9TrVB5W7LBB9vC+HPLtVaR093DOWuyu7v7x4A0g76ybkO0LZbzvMjlM82RxlvAs6tjtdqyG9P5cduo/xG7vHmCW7KEaoO8aKyjumhlG8wYDYO9/dG7xh39C8pBKAvEFntTu0SFg8tRgTvKsi4rzqbRC94HlVPPWUB7wv6J08d8b7O/GGMbxzNlE8VcZVvBAMXLy9ZvC7OU16vMqExTpU8628lLgJveMOQzzeEt68gyjYvDxrQ7tKRIK8tAuiPKS9PT2k/zS8rnCcvAZIF7wghDo8YaYOO83Me7x8pGC8yIxFPU1zH7w2Uty8OqGEPFcFyzxz9kC7Fz38usjJwTxRV9w8jYzMOu4VcztcHzc8g/Z+OlJdgrx8xgq7LMS2u67pnTkT9w07Sb8LvNJAhLzuOOQ70mQZvcRH7jz+nR88y9BBvJjBx7enjtU8ZLCkvBKsK7ui0WY8aWfJPFP5pjlxg5c8O3xyPCh4dDwgW0Y8nEIMvLrJlrwRO9a74iHpvKbLWDz/cRE8jx75upohtjwz6YU8aJDwO/duBL0poU49g30JvVVISbyIHq87KE1HvFqkIzsc4by8ioHsu5y11zzOsiq8m2izvPKbCb1C/hi8OTcnPf98Cz0T05+80UdNO+FvI7zp8AC8D/YAvYLkkDpVINC8X0/EvJgkhDshAyk6zsbRvPBqIjvgRCo8lQQbPBvrxTuGZhc8qz9Pu8Zoszlet4c8HwJdvLDSEr0nJw+7JSWjvKLgCz3AbRm9EFlYuup6Jzw+okE8Ao73PErHqzhgvZg890ZbvLYcDD3Jhxw8rzfJvD7aIrwbdZG8GUMWvFQcqTzClMA8FN8EPGChlTugqKK81ZFZvKK7+rxPBQ281/cFPdLFQL2AAwM9ArdFPR5W4Ls0qiS82fbUO2CfFTwEinG8BbipvGEtDb0ExZM7VPfcuh265Dxv8q48gTohPAqJq7z7B6I8k54EPTUgWTsKZQW8Fl65PIrcprvMPR47wJ0fPZZNMbwGf486vUaKvL8CKz1xSzo8HLgEvKyVMDsXhQO94Pn+upR/8jqBsCA8PX5bPHsGTDtGNvK8UdG/vLp2v7srWZ087z6fvMlkBjyeip08FP2xPNG42jv9jtg7hP2vvK1AhryuZR+93qglO0QR8Tv74qQ83jCeOxhkFDzSpp+8RPaLvLysgbz5/Hw8CzVIuisHOT0eBwS8M7SzuvLavjygwZI8Clm2PC2UEL0Payy9RMEhPZIiBL0PFQW8vH1svC6RSDsOTdA7SzMGPKANPryewtE88Y9ZvDcQJrxfAPO7eRa4O4ZtzDsZixu8pfQSvJCRW7xGfWk8DQrQPEXNmTx0L/07FoZ9verRG7zzKcK8qvGSPHqULrygBqC8qfilPJCBEjxK+zo6sDmsPLwxpbyEZDq83/qnPMrvK7zPqI68tcpovKPWVDyuYpg8HMS6usqfCzzBcIS8Rgtwu3vPfbwLPV46k0M9vGrkF72b88U7AbhXvArS3jom/0M8H84Qu7m9rDyuXUc9C5AHvdOwC7ypM407I6JTu7hUa7w8UaQ7k70hPOqfsTzqsYC7UrRdPRZ/O7pTyi67WA2pPMaWrbsoT2O8e1YUvY9LVj0sEva8kmCZPEsX3rtcc0Q7bH4wPL/3o7xycRi8K8A9Pd1VRjwzEtQ8L9NZOnJ4+Lrjqw885Xe4PL7aBDrcrFw9W0v9vBQM0zwvKTm8kxKkPECz7jwpL7s5og6uvLzH97wBXgE9OFKLvE6rEL2FYe08wV7cO9rzq7tzS6U8YVkQPMdzPzwgxsQ7joT6PDa2YrwQxgs8jjEDPMJE87ypLPy8TMr3PKhV8rv7ItU8i077PMq/2jufoCS9B914vMHQq7sbp/g82kjdO4tEkzwU67G8J9MVvcqwPL0gssA6krlOPGEZQjtymkY8jyI2vdlJk7wt1yC9/fOLPLWfa7zY/lY9/PSFPMZKAb00UX27neGqPJ6W0rtd7Fc8GyHZO4XG/LzksWa9CtrOu3QvqjtMLNS74uTnPK9nqjwsQt28ZF2wu8epATz4PJi8MvQ4PfAUGj0DCPm7rBk1u3rQZDypPUK7jm2wPJogML1C77C8/RGwvMNXAL3eAi49fnhHu1P427tYr368ypljOxVlKruq5Me8LnoOuuqiVD2AnMm8uhzbvLnqj7zM8Z48MDtsvV6q1DwWkAy8TjsfvEWUID3AqEw8qru2Oo3hI72dwpa7RzOovFa0i7zzMRM9b8PWPKFt77t7wDq8XeRYPIz7ADyM9Zc8if+mul7GOrxmExY8cfwSvC/r7jxtd8A7gEorPKmoVzyc8Su8Lci/PDOTKDzfr8u79aTtPK3YAjsxmtE8yCw9vKF0nTsKe/88NQAsOCESNDzUgAK7fXk8vMC+tDyoHNA8ck4eO8VgKD1zDpm8a8NzPE9erbtsd6G7An9Fu/7r07zkHC49x7P8Oxw/C7205Bw9syyivOKP0zt8M+C8wsAnPXoZvDsCoNg8CmDkO9eecDvDzli9gEEYveWE1DzWi0I8vkQXPATHWbqdblu7yWJJvMgqQDy0L6C8qoj1vITw8rzV5pw8uVw9vTdZl7wR8Qm93CMSvL4JAjxV3a28j4Hju8HqOryiaiO9KlLSO6gWp7yvd0K7Kw4MPcgXMruVfay8uziTO85c9rzIeja8RFgrPZNDbTzTCRE9zCzPu8ObiLxsjsk7/1TDPGh9Ab2vZIK8q13+uyF0Ab05Ega87Sf/PFn+uztpObQ8udzcO960oTpjmpS84J3+OoPytDydV/G8RUFVPI3zejzVScQ8xXrRvDYK7roIVcO7r3E7PG0JHT1Hrw69FhcFunYGFL3TEyI8AnQJPZA8HLxcjY08DjLFPBZhELz+0hm88Ik1PIgWRz1b9e0882NdvAnPXzs8h748tYTAutX9yTwa5Ni8CYBGvdcFFD30Sso8JJ9IO7/gIjzqyq+897g7PWiJVzttExU85fbavPqGHTkmdw+8QezCvGdY2zuBJYs8qOWYPJoDNztaNyW8/UsovU24x7o+mKW8G6CyPSPd3rzNv7w8zGQ7vbG1zbsDRaI8e+pXPIFdCDwjqgo8+k8zPVT7LbxoeyI7IPCAO6gsKb3kLZs7+5ibPOGwgryVBs66L5N2PG956DyKTNI8D7nvO295CD3BZJe7YU6Ru9YNE7wj8my79wgjuxG+fLslXhO8umHwulG6sjwtK5s8rJpvPENCBzu6blO8NI0xvCY5Wjx2GJM7H825vOdjC7xEzsc7Ra0APLsAp7wppg49D1AWvAODETyGLxY8YyEKOSmvBLyPKa28CqfsOvt5tjz2BRA9F1wOvRChtrzYHzS8UCVZPCPPhz1Sfb28vZsZvG2FOLx/Xfq7q1aQPGL4KjwuxBQ7gUQYPXqy+DqDYAU8eeJMO+3l1zy6vJC7+nIAPWcxDTx4MoS8HGxnPMUJojwdJTW7dUfpu4zMHD1wDr68qwwVvJzH7jp7Rd68+XelPGRgXT1cRvs8wJcjPMcF4Dspqys9406nO38tsjyGsS88bmOduxf1pDxI8La8zQeJOwWPfbzgcuC72V8uPG0QA70Hicm8wdaPu1pQNzyM/Kq7l2shu4aAGDyudmg7vin3PABMorzE61C8gYASve2g7LwekQ09+u4iPWm15bwwB8g7OV6/OlJrsbvqZ0o9hAlHvCRuDL0/PFU963YZPEOYXzuTFoW8fBy0O9WlTTxsqeE8QfkVvMjaLrws7wM9jZ7auo+7dzzomGC7exr0uz5hRrxgHy4934MHPXADDjxxDEa8UpnTvJLDEr0ZLn07xA7sPGSkPz1SRG+62s0WuxkSNz3jT1A76qNSPF1cGzw6jNs7LBbkPGpo/LsD7Ta7186hvA3+7zvJV1k8lbGSvIMwMzwQDHc8N3saPMqHHDxKgOg8KkDBO7DN2LzoeGu81FPnO4ooTD0KQsM7R8H4vO06ATvPNrM8fazCO/mAjbwa4t282HSZPLcDQTye6pC7Z4VdPG9MIzweE+08ImGvu1Yemzwnzpk8sZSou2dOLbxEq1w88Fh0PLwypzzBkM27olwEvfbRkTthcyQ8djsTvGcsKzw7QcK8FhWzvGosKjwPhjK7ZcaTOwQ9RjylKfS6MBmxPBtRsLsXeKq7ZWKjvMJcYbzo54k7v4KYPJP8Aj2bpko80KEKPAMw+rvo0ea8pxsKu5PIlLwYGA89yk+LPNJkDjwmtNc84hsMvIl0TbsrlOy8aUIju+I0trsYV6y7wj33u8g+nbwJNTo88p88vDFSvbzUede7hWqlvNfInDvJS0o82ZzgvLpcKDysovq73kpKvO68M7o5zD47utQsvO0FPr3Z/si8L/XTO2cbHr2Sk588SuWruKF0jrzgmV09z8+1PPrdo7yI5SQ8qbYPPVFK9LnFAAC83EhUOychg7yKwGW7yTxOvIf5zbr42yW8SFfsu3wEHDwGPT08E+EuPFPGOLxaqma8aLm5uiwHjDytglU8CMC3vJ9nWDwqVgi8gIGaO2JblDwCeTK9oTvFvApzjbpPxuG87IfqvBZrFTsMiya9caEcvS7DsLttBsa8F4TsPJaIE7yM4Nu8p+cQPWviVT15OTu7XeQxvD15VLyR8gS8qw9sPDAuijzJZYU8jdHsPFqICL3PQjm88TZIPEMsdTsUnGE81S8avFECtbw7K4m8SintPO+svjtsERC935QhPJZiFzwdI1A81MTXPCBcPzy9VEu7PigpPQfIk7uboty7FGfFvDPj4byjymk7Z2ZbvObsjbxl4Xo8veeKPKkb3rztG488+AJrPLincruwFpy8HHvvPD2PVTpwGGU6SAk9uV4D+TwwS6k72eVbPHLU6Dm18IG8N6WNOjb1Jjw3b2a7o6zFvF3+m7yBa4q8/XUZvMMmVLy4Vg+8P8bVPL+/LbysKaI7AewIvQuoy7rLlug7FUIcPbrBDDxxiLU82dlFPACXUjraURw7gkTovFr1zDzLFJw7Yd6TPHdOCzy1A6I7MoumPBwp3DtX73o7RA8Ru9SfArwOg3S7x7odvNgxL7sKb/Q8h+0KPKqibjtQNzS8KtO2u/7KxbwulAe7D3qrPKb7HTsKzcC7Pp5jPN/3eDwgshE8VSj4vGgwWbtIrkM8Y3EQu0LfSzy6lmS8mQ3GO389Er12LCO9x02JPMXzCr09e3c7mbMuPe1Mrbuu+EM8IrArvXpFkTunOAQ8wgKTPL4jlDxufrQ8zgOZPO5RVTwGU8o8C2xavGOcQjzca0Q8nYEOPNQ+7TwEQjK84gePPCg6NTyIp2w77AsKPJK387wiNJS8PR9PvOwRHb0g/di87qYuPTak1rw4pXi8MaJ+vPR35rz7//i8kplAvPT/uLsfQu87MLBTOZwbWzy1HIm8smkFu+UFpjyxyB08oeM5vOEoTLw51r47WCjXueweI7xgKRU9WfKSPCu7I72o2pW8tkigO8Fzp7wLUj68F6vku5B6Fr3sYdY7IyEVvMQTijwZnxg8h4ShvC/pGT2MFDA8qbyVvNggWrv1NgC8HjEuPP5jg7rgCF+8LsJUvDV8ljs0MIm81/+gPOqkwTz8ep28kjyNPLDiBb27ku67EIDdOusTAz3fBIq8j5bzvArDsLrwIBM8YM9jPCSCi7wWFqK8qMH6PDGoFb0IGDk81LKQvMjeRbxsp947BmkCvHwOpToozyO9ymuZPHA9zrxf2x09OuOxu/E0Eb3mRIG8a+rQu48Ofbzfcw29FQGNvB9+Pj1nsHM8XtFZPAo5c7zi7NI7xMAdPK2NQrxIroW8Fc+9PMbQSTu7D1m8M9oHvUXHmrwCJLs8h12TvBwDZTunigi8VY8avLQJtjyhmC87RloDvAdIOb2n2RW99qw6vIlb1DsuJpA6SyGDvEV5PbxCC+K8Pjdru+QP0zpn4Eu8NzVCPOkofbzairm8bRJxvJgxCzyFcRO9XbvPOzB4OLr1bqy8NqgEvLwHfLy6pIA7rnWsPGJZKzr2+oo8rW33OgIgYLz43xI7KI4XvC7gKLsbf0088NeDvPnYZLwFD4O86yoJPS1UuTv0zyy8YPsjvN6hDz1H33I8t3+APOFKzrx1aTI8d86mOwOKk7xKvT+95pThPLpSzzvKTrI8AFB1u/W8mLwDHI88etNZvLfiHL3F4868rSazuwQAUjyVr406mRqLPA2xLTw8OK65VaiKu0Om+zribDE8h6PGO7H2DrzJJGS81HlNvdqA+Tx6AwQ9Nsu3PMO9nDuhDWu6CQs/PGo6kbwmvxs8AB+SvG6637ui9R+8KHayuwYgjDwimj04vz02vDRSe7vxp8A7YQISvP5+fLwiC4m7EfngupHE6rxP+3I85k6wPN74PTzXrHA8zMavu2rF37s06hc9yvmHPNSYszys+me7RrEDvTDgpLx/eqk7USb5u1dG0bz6EDS8lj0hvZNeszzy+RO80grBPAxmBLyoeDw9JOkDvKD+7by9HxU8TXeuvPrtHLx7Trs67b8VO20D2DwArqS8Qz6lvJoXVLt2XKy7w8yGO3kNGLtrQAw7ImsGPK4HjjyNksM7mdI0uwbZ1jxfbRs8SoTKPEEymjz5FK+8bYFHPRUbOz3JKnG7hmSVvFEey7shQOO8W7CxPEK5ZbxVgX08RjpRvVuoezymJLm7ZUesO56U/Lx71su7AzNmvPZHCLyguL88ynVSPAdC6LsN2Iu87tWEve8NDrx0SiS8vRoGPFMpqLsNTHc8wnmNvNPbizt/SXw7s7SXPBRu5LqnADI7t5SXvCk+9zs/eEW7Z5Q0O3Kmpzwc2IM9QzsKvV5GxDxcEuK5KdL1OxPWcrwTQ1O8fcUsPBIbALu1cjk7voIDPZwRzby1b8+8oefbu7ds57v49ps8G9+/vLwCJjxv8hM9axLau7zDLTwHYoo82XUbPP1ds7xc/7Q8Fcg0PT11KLrWPcI8zaOuu19GCDv30pA8VeZWu+o0lrwq3k68FLwoPSqWYTsLMuQ82h+HPLPq6bymgg09Tlyru4AqyDyz1gg8++5nu3TJPjv4NQY9lRRLvMKpFzp+UAO9Z0K7u/B+3Dxdlgs9jLxxvDSBgTzcPNo8gXuhPMDIFDso5gs9xhqDvMPKRjyMF0u8NhSmuBveSD3ZFgQ8+fr2PFMySLzXF+889SaRu0272bwNV7A8ey7nPM1p1DutBqA8TJkhPR5MmDz83bG8O7swvAaOKDzfVio9KrBXPOxdPzrqURm9Ylz2umuqrDy1tJy84fbevJoaIrzmeKC8M8u/vHamzbzzjJi879UzvINzmbwAUB08X8F0u4oV/zw7NoQ7+O4kvQ6e4LzsHc08bhyKPEzjoLxqLtG8hIc4vcaaKj3twS28A5tevK48nbvv3Eu8hO5pPMpu/bvpvwq8yTvOu71wVbysh247X2vGurreXbwJvHc8miMbvHYQ4rpnESO72CELPIEu6bu7T1K8sfh4PKr6Bb2AwDY86qMqvPR4LzzSzi29P2f9PA0ZoLykBRO9i+WzO1w+GLyffIE8Tho6u6/UOTnfxne8iFWevPHMxruUlaC7X6JKvNy/IL1sQJ28xDxCOrUcVbthSwa9JyThPOv47Dw4iq07pP0dOyv5zLxoST49qqo+PH6oabwKms47jzTtPHDIQLweWeE8KyGjO5uoBDxvJ5S7vIauPK3HfbzfQMQ73R4HucM2yDwWdg489+qKvA4MgDw4v1K7CHYAu5j26zsuH4W8M+gjPTOEkLwpbRY8nj6dvOp1GDynowI9gZZ4uiqmV7wWKbi8PWTCu4CkObqBSOS7DazJOkWsDzy7DDk8beAZO6A7cjxT+j28I0vsO8IREb36qEu6gSUBvFwsHj2AtBq8IdLgPBReZzvr40G6F0sROxYCKDvF1ZC7jSUoPKTpDb0WTeO86cQxu83wnbvvGZI8Zzd3PNAPCL1X8ea7/+4nvCI90LzrBCo8esaXPE2nYbyIxgK9rv0EvRSZNzyoT9G7z9KsPBryYrzsaM08SA1pvP9zpLugtSa81d0xPI7FhzyNaqK8066YPFt0KD0/lq48Wid6PGWFCTyi67251HKpvEyqpTzM2Gu8Ky2XvGch2TnhJaa7yUKzunGBR7xO4UY8IryMPPu8Nb2ZM4C8YxugvJbHhzwH0SO8VU/jvFaY6jw3a088pkHfuiWVo7rYeTA8iDqXu0OZbbuHuC86R5NjvDAVvbxHdlk8OYRiu7MEb7wrWwK8VCyauxhGPLu9mzI7053vPA6YO7wzjcY83Rwtu2UPzjyymiO7txqvPNAPoLxZ1Kk8SIQ5uonhhTxw8fc7RvgCPYKEZLzFDDA73VMhPbtQXLzXTSy8o1iZPCz88rzl0n88U1GhulIVbTytgoO88XfSuWmip7y9Gpc8uB43PN13A70Z0Xu8sg0VvWh/JbyKFsC7SFvDvFCsA7wsZx28xj9CvIedRrxn4ek8HnLjPMKAgzuIAEi8N6k2vItcA7zcGVg6UoYQvVJzyLxACtS83F0BvHbC3byhm5G6OfQbvDzxeTw5pig71ouPvE6pEb3e9ng8G9nAOWYG2bzOQiK9dStQu22qB7zSDyE72P9iO3ULrLxLTxA6oPdnvFdJfDvV8gc870n2O2PDVryr56A80MLmO2f75jugszC8V2+0u5zdhLxSlI67dQ9uvehBnjz6TUI7PEVpuz6Ktjy7G3A87y6vO44ypLyA+Is7pG/ZvNT227znmCi84gFCPCE4ZDw70AA8ZCSqvFtI2jt+g5S8QimivIGQ1Lweddo7P/hZPOfXFr3jA5m8xC/LOvUGWLwhRZc8NHUePBhC2jzNpLk6bziCPNg9tDwnHY265oRvu85J+rycWpA8Tf8bvHqGJj0rhdS8aTYVvABCxLyThu07RTx5PH1CFrwl1Gi8+0zGvFSdvTzDVB88GxiKvAq3JrwQKKq8x7AkvVbLMDxfc4q89gaxu2ohpLxZ2b+877g0vMFSMTyTdFU8e/K8O2fdrLwJiL08hAHHvDMAIz1J9WC8wh0hu/unKLyiUcE6us2svEUqNTzlQ6A8xVS3PHpV/DxA7bA8ACxAPcOyobw7MYY8arYRvIRQwzu80oq8YYKXvCNaCb1iNtS7wubJumY9qLxIzPy7OCvjvLmoq7uFwVS70nAhPd0k8bxFDx29owqIPDaP+bxwVdE7ll4gvZ6YQLuZ4ps8Fv+xO/N39LwcewO9gksGvNZXt7rp5A+8LTT4O6UYhryGAKi75IprOqVZKjwncQO8z9JMvc202DxwmTS8+NUQvHYfxboK/BK94YG/usvM37vhvKw7DcQWOibZ9zv2quY6DJIJu1einjsYs7O8yjQBvL5+tDzYi5M82qSkPFH6xbz2PIW8yuqhvNmpcDzv7/y8/emXPHRwHL2QDOW8vn1Iu9XqQrwNLQ+814kRvX8+1rzSK5W6iMdwujcL7Dxbp4k74E+dvAIjETxZ9rK7P7aOu8DX8btjkCw9GspnvGI4aTylAMC4lYvcPAyFEDtzimy8qatmPNXX3zyXKPu4vDEku5SeirwcdJM89HjHvB4ykzxarnC85g7xvJ27FTvZ0jG6osOcvND/gbw5hN873KWZPBQpAT38EAc88hcyvdcojrzoKSk9fI2DOz4ljTs06aS8LOsUvLnaq7yoFBS858DOu+myk7yVXao6yIfPPANbtDzrOYc7w5YwPMufvjwm43a8ojnwO1hmnzsYMwk8ix/tPLz5UbyG+BA8mmOUPLk2YTvVhcU759WXPD/kzjxmLTa8KG7SOwzNYLvuM029mSObPMdhDbzU/yO9H7U7u0VEozxuU6G7J/0AvG2/aTuzkii9qH9nO1RjLzxXdQi6gTafPBvT57v4qUi8qnkDPcApjzx12e28Avbuu1fL3DsXr6c8HIwWPDbgl7ypoia8+96OPDhcwTycJCU8hkkdvJEJ+bycD0s6tTIXvDwICDvThrw7eO7tvFPNHz14SQC9xFHUPBdwuDwYXRo8WyhYvBd+CT2M5Ri88QWAO3Wdcrveqda7Xc+UPIdwrDvJ9n28te+zulSQRL0LWkW8z8+kPMHhkjsHbyA8ILoDO/74XLwRQm67y6r5O6BjRjnOkik8y+gQPDqRtrzLzOg8ncwNvPCl3rzH86089f1GPF6k2br8dQo86fkOvGiG1LvAPTa8wDPZuQnaSzyvJAa8xBTwO7ChwDtRbKI7N4CGuwDg57sgRhy8DpCwPMHG5ztEp648HV/lOqNp3TzrJr88il9LPEkE6jr4WJA7+10CvLoIMrz1NFA8n4B6vHyJCjzQGq47csFrO2vmhLyb+oy8YUkGPVQWjLzDzcC8zqnMu4ulvLz9HlM8dpbMPGtsw7okjAq96F8LPUxSVrrVEdY8n5TYPHCN8bdr7YA8RdM9PUlsT7zjsZ47NulaufCyuDu4ooG8oFsaPfhgWLwDmgA8PBynvAFdWTs9ZWY80TKbu9qAhTxNGoI86hLOvMJKEb0G5Yk7jIswPKS9IzySX+I8N3BbO6f/zTtBBK28cJT8PKIJfjyv3iU8oQIavATG97sJFYg8Q7ixvPGBET0ccw09z9rdu3WlCLzG61e7BBCvPIxWuLzCPt07katOvOvA5judM0O82Q2oO8luATzEs3u8GckMvXyigzuzJgy9pT/MO3OPvrtjTp08Uz5IPG7aQjtsOz+8R2WGPAZjIz3KWXE86pXYPE8r4rvhAZk8nh9xPHWMvjvYN9c7J10mPEN1jTsR+Za7MgNGPF5hOb2vkpg8oYa7vNQ1uTyEEyS9G0u2vF6jsDyXUA89sTtrO/xXzbzZDoE8NIFOPH+V2bu5Su88TfI2PKWckLxnhN68ME09PJPdsrwfm0Y8eDYQvDsfnjzWbgk7j1kQvPqXTbvoKyC6d4dHPCeWrju6lvu6vamKvDJ7zLqz1Ka83wvfuouGLjqAPCI6MjPXvKoOIjxNcbg8oxiQPETD4bs9tdQ75zawO292CjyZ4wS7MmFQO8G+ljzp4xK8Gh6VPAIPTTz9zYw84ZfEvMlb5buDPik8iZ4BPagWTrz2B4e8rjwZvaYzmDxsVAM8eGN7Oxk/LL38sPm8Ioebuolthzw4NAa9iHNBuhFLeztl/jM9VSVgPHmtv7x3Ypm8gZi2vOXjLr0qaRw7z5dPvU8QCb2aejQ9YZOOvFaC+LwoodI6SAqZvIVcz7yDmDG9eSaBO1J94TsW6U49aoxCPM1mBD3OXwy9YiYbvBTCebpUuv87bkuPO9BLjLuFp1a8PjujvPKajzydbHA7HFyPPGGGWbypWNK8PMK3PAFraDx1U5w7zHguvMXXE7zlAIQ8myeaupjxBD3spAI8QdoPPNy9mjtInGM8eNanvJbtOjuqsRo8rkncvNwpdLs4pIW8kB3CPFAFDDwMpPI7BP+0Ozquy7uJyyY9PcqkPKYZVbtsEIo6Iw3JvKbtKztUhim8MFHpOGPDULw00pQ8i3idPHhUljpzRao8ugB7uyXsVrtw7IQ8+oY+vC20U7zrIxs8m1kxvFw6E7zZhUk8h7zdOipZi7ucgEm7toGwPNDEO7x0sOG88TvzPHh62bzCtES6voOYvEtytzsyU167pxqsPCxzDTyROzC8/Ca5vMxrvLwXkSu8Zv4qvca9pTwi48M8GUsWvZWsgDx9/SM9sTeWPNgYYLxuJZI8mGcavLrwJbwr7cm7GeTcPJSSTDsSjAk993dVvDdt4Lunl/48BwzIu5hdpLw+VEo8JKApPLPanrwAYDK8/TbIPNACxjz8dRI8EiUtu5mLDD1ihgW8A2EgPCiMg7x8qXi8NwuROyfEcbwnLZQ8pZmYPIs48Lm5X2M8p/qGPMrTh7sGXe88ZZmwPG/LPT3Wefs8JUiBPPe5mDyM8je8rEmJvHeIELysnV68xWb6u/iE9Dw0XKe8y0EgPIEUCr37TXC7bPKuO1YgeLs8cwg9JUg3vK5wizz8IOO77RE0vMGAtLw61y48cU07vIkzvTxuS8+88oA8uoL9djzmaPE7vGkHvCbZ17yzSD08mqeAPBAQL7x3Hwa98nNTPOsWFjszQv47BqkJPNjrtzwPM/i7jt22vHIZZzvb8Zo7tLkRPKGOQbxw/H68dk+BOfOjvzsm4u07F69XPCGvCryIHWS79vgfvUxn47y+Q+m8mJcNvWfceryjjOc7OHJFvEOEf7vwHTQ8KR9fPMk2dDyEWjm9E+CrPO6Rz7v+Hl88+6iaPLKH07yCRrQ8WJSDvAM51byUwqg8JXEWPeFCaTsiCZm6RofgvOPw9LzlvOe8qiZ1urqeIzwnjh098Wi2vGrWnLz+E6i8iQ5LvJcJbzwtB5A88IcmPLdslzz4j9M6NwjXPL1PirzG/re8alsjPOjluLymJam8iE4NPR/FiDyD2oG8I793OlqkprvOjz28HnLhPGvgqzsowxC8u+lavaGpwDubiNK8s9IfPA==
+ index: 1
+ object: embedding
+ - embedding: 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+ Global Warming Unleashes Ocean Fury in Mumbai's Fight against Tsunamis
+ As the global community battles climate change, natural disasters have become more frequent and devastating. Last week, Mumbai was hit by one of its fiercest catastrophes ever: an unexpected tsunami caused by an undersea earthquake off Makran subduction zone struck the western coast of India without warning, leaving a trail of destruction behind it.
+ Not Receiving Warning Bells
+ Ironically, environmental experts such as Dr. Rohan Deshpande had recently raised concerns over India's outdated coastal warning systems and their urgent upgrade. "Significant increases in sea temperatures have contributed to more severe weather patterns and tsunami risks," warned Dr. Deshpande.
+ Yet systemic inertia and challenges in forecasting these events led to a tragic shortfall in preparedness. A tsunami alert that could have saved numerous lives was issued too late allowing towering waves to strike without warning on September 2, 2023.
+ Aftermath of Submersion
+ - |-
+ As the waves receded, they brought with them remnants of what once were homes and businesses, leaving behind an estimated death toll in the thousands and losses estimated in billions. Anjali Kapoor, a local shop owner recounted her horror: "The water came in like an army... we ran to rooftops waiting hours until help could arrive" she recounted tearfully.
+ Emergency operations led by the National Disaster Response Force (NDRF) remain underway, transitioning from rescue to relief and rehabilitation mode. Colonel Rajat Singh overseeing part of these operations acknowledges the magnitude of this tragedy: "The city has suffered immensely; rebuilding will take years - our focus now should be ensuring no one goes without aid," he asserts.
+ Understanding Mumbai's Tsunami Origins
+ Expert geologists like Dr. Mira Rajput explain that tsunamis are caused by sudden tectonic shifts that are difficult to predict. "The tectonic plates beneath the Indian Ocean have been restless, leading to greater pressure buildup than had been predicted. Furthermore, the earthquake that caused it registered 8.7 on Richter scale and its epicenter lay close to India's western coastline."
+ - |-
+ Experts worry that with climate change, rising sea surface temperatures and sea level rise are increasing the destructive power of tsunamis - potentially increasing their frequency in future years.
+ The Urban Factor: How Cities Increase Risk
+ Mumbai's urban topology only compounded its tragedy further. Rapid and often unregulated coastal development led to weakening of natural barriers like mangrove forests that help absorb waves' impact, such as mangrove forests. City planner Kartik Narayan commented on this matter stating, "We paved paradise to build parking lots, and now we're paying the price: Our mangroves have disappeared, replaced by concrete jungles which stand no chance against the power of nature".
+ Adapting to Unpredictable Circumstances
+ After disaster strikes, there is an urgent call to reconsider coastal management and urban planning strategies in Mumbai. How Mumbai rebuilds will determine its resilience against future threats; sustainable architect Vishal Mehta suggests taking a radical approach: "Construct with nature not against it - reinforced sea walls, elevated buildings, flood channels and restoring our mangroves are not optional; they are necessities."
+ - |-
+ The Human Element: Stories of Heroism and Hope
+ Surya Prasad and his fellow fishermen like him, such as Surya Bhushan, demonstrated the human spirit in response to this disaster by turning their boats into lifelines for victims stranded ashore. "I couldn't stand by as people called out for assistance and our boats were there - so I knew what needed to be done!" recalled Prasad with determination in his voice.
+ Volunteers from all across the nation have come forward to offer assistance. From providing basic necessities such as water or delivering clothing to setting up temporary shelters, their presence gives hope.
+ Integrating Climate Action Solutions
+ Scientists, activists, and politicians all call for an integrated climate action approach that includes disaster risk reduction measures as well as stricter environmental regulations. Aparna Rao of Climate Justice Advocates highlights this urgency with this statement from a climate activist: "This disaster serves as a wakeup call. To combat climate change effectively we require an encompassing plan that incorporates disaster risk reduction techniques as well as stricter environmental regulations."
+ Environmental economists like Professor Ajit Menon suggest innovative financial strategies, including catastrophe bonds and resilience funds, as ways of supporting disaster mitigation and adaptation efforts.
+ - |-
+ Urban developers, municipal authorities and local communities will need to work closely together in order to devise and implement measures which bolster Mumbai's defenses against environmental hazards.
+ At War With Nature
+ Mumbai's battle does not end with rescue operations alone; rebuilding a resilient city that can withstand nature is the next formidable task at hand. Drawing upon lessons learned
+ during this disaster is imperative, while listening to its urgent call must also be acknowledged.
+ Questions remain about our preparedness for future crises; will Mumbai set an example for climate resilience; and what role each one of us will play in creating a sustainable future.
+ As Mumbai considers its losses and looks forward to rebuilding, its lessons may resonate across the globe amid a changing climate that threatens every corner of Earth. Resolve of its people and the decisions of their leaders over the coming months will play a decisive role in either shaping its fate as a beacon of hope or as a warning about humanity vs nature.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 0KBvuUZ+GLtbdQi8McOqvCvkRbpSUyg9ySf0u3LMmDwR2zA7A/ddvZmKLbzM+La7g/yZO0FBxzz/BxA9EjYUPZudLL0qZGg8KcYsvXV2jLuZVki8gVsvPeGZxjxFl6486ENSuzSPD70mqHq8dSSUO/ZBc7yVZz69Z8JKvXQICTxwoy28yMSfuu7AZroBnqs7we4HvYF/kbse5qq7YroeuSJJUbzDa5U8CBSQO15UgTtqyYa9nLafvAEKFzpl24+9aK3dPNP1qrwjPmU8vorNO/2sDjy8AZW8zQYRPXRdpTwBGb03day+ugqEyzyRb7m8NcvPOyhcoTw5NBe7xNrQvAYB4bmwjL67UFIVuwqgATwJLc+77ZyWPPydV70+DUK8t9vLOpF0LzocDO083yqnvBFFNbvgR1u8jzlivGPZlbw8vpi8Kg6aPDWLBzxLGIW9cYgbvAxhBD0YjTU8279CPHzEM7wA7+C8sD3bPLJhL71PpgI9vn+wPPk8l7vN87o8Y+4zu5Zoqbsns368NryJPBTnMLxapnI8zzJHPb0anDsU63o8Nj1ovOU/l7pxoYs8bxaMPEtsmDyIUuW6WbIeO3twQzym6Bo6qm3Yu1KPzjzc94o7ZZ1OvczmozwjZ0K8vYPaum5JLLszfOE7o8e8O7Xz/ros9S+8lfT2uytEATy8U6U8IzpJvNNM9LxW2Le8M/1MvMAWcjv4eU26ls6du2+LSryhcy28oHzmO/8WVDwCop68PHNtvN9g9TsXuT45MB1GO/iJdbwI02c7UUKqPM26KDy/DCo83LDuu0ZbHrxF8s470FDgOW1PYrw2PvY8OStzPGPDkTzY7kK7/HeSPJX5ajslZ9O4nUYhPXXejLtbE3u6sgIWPLVlJb3R2bc89XaDvGKe6rsRnBQ9G4a1PANbCbsY9SS7BPsrPJ53xLs7nqe8ukuavNccP7udFxK85mpXu/NE8TovISk8gp//O0ItV7moeOG7b6Liuz9ZRrv6wuU6IVWKORxrqjf2JIO8RoYCO022Cjyu1X68HXsbPOpOSLkaMSq8H6tSvLtcGLvhl2M7lpkyPBtp6Ty4Crg7/xwfPCvqA7yiecQ7CuwrvCT0NTx3PIa8FNkovCLVortn0RC89BUHu/ZeVjy/BuY8uYr2u7fk5Tu6CIW8nPJVPZ/VSLz1Xwu80I+AOxL4g7tvOZ+7A/wvvEcBJbvhJ048qgbqu5QFDTv1wLK88C01PON+77xXpHc8jmrUuQnDKLwdiA89Qm6kOjoePTwWm2G9DiWtuxrsdbzcpKO7y1tjvNQTw7sPw0C8yAufO96lhTxpw2c7bZ63O5rgSDtnTys8No6MvBmqKDo/8ea8KGY1vEeIHjzl+bM5nxyZvHn6dDoMMUo7GpgxvNXAL7xqiW885sCyvDWW5rxfNRw9Km3DvP77NLy77d+8UIDlvKZGqrsff4W8sMmkPHM7UTy6rJa8dJnKuvGwajtQINk7Mu9bPGYeTLxttBQ8LuOkO8IFNLw9ECW9SBDivNCxzLw+Jo+7ZEn7vKIrVbs+o7A7aFnGO3QBBTxxTzO8AHuyPAhqCbz/BS+7uEswPJIDmDt425e7VQEOvLTZorydpBo8EK5Tu9kvKzxG+Bi7+vGwu7F9bjzE3By9c84IPRRTZrwGglg8m++TPJGiozydZSY88DHGvOKfGLyd45I8R2HYu0nRhTyGT768esIlvSNjaTyjvwy8eQzwPMAthzlGLeM7xcaWPIrvKj3Gdyc9TBHuPIY7qzoKM4m6xBWGvAKnC7yjRoe77onqvJWJC7yWtyi8IfCGu7aEdby1IdG6k/yGPGSDS73+O8A8b4GHuloCOzxILi28B10ovf9PXD1KNaC82T7HPJCPl7w/6WM71y2MPD+fLj0hHkM8c6awO8q3yTxStng8LD5+Ojz0IDrmQCe8AR5tvOFWfTsST/27GFzxu60F2bpQU029cOy8O/SwsLtL+bU8iJuDPbVcHTxjWiU8W6obO0eoNDzajrg7pVHUvDOIZ7tBbJi5CH3COyK9KTsu/wY8CYnYvNLY7zqoQI+8hjlsvGHQe7xdCRG8XO+Ou3Hy37wzbT67ZpYaPDwSBTwZdDA9RWjQO4vWKbusuBO900oHvX3Y2jzABaW8g0ziO4+bYDs3CIE7w6fyOp6+Wbx5r408FUjBPDjOFD29CyG959t/PEsXobvkHMM7B32HOwM6VryMH+s6ZIsEvWRvzTxVloM7jFf+OikivjvwMH+8QV/pOwbroTsi1GU6WP/SPNicmDvzcBk97R+nvKoSBzoIz9c8c81kPJ6Yz7yH4wW6b3pdPdCQZrwZSYS7yLgdPKd6u7xjZS+9Zn7Vu1WImzxJkSQ9uGSAPECqtTwJTWS84I+vOro0kbusj389AdsAO9ypAD11yms7UgxIvJ/vgLt/X7U7VODjO5fLELyH/1i8BIIvvYnCxLwqq1Q8BEpePW4nkbw0IkY9FxVpO9SPjry1fao8z2GHvIuNLL0XNqQ7T/oJvL1NPLynZ/k78IuGu8t6UTzsHac8UVeeu+C3jrvgrxg7JRgnvVwfzjuM5+E8vJDPPDOXS7pplns8XnshPVDsMDxG0vi7tqN+Pf58HDz35ti8tMM/vN8CybxoVgK9twV3uyLnJbxpMNE8SLkauxGpvTzhUPu7WB6NuoGiEL2QX+k858RduSrBLLxmY5c7cj2UO6Su6bt+4xy6OuwGvFKyirynUGk8pBWPvF3so7w26eW6vIU6PHxwgLzZpi48F0oavFP3FTu0bjc94f1WPWfherw8eyw9RdVHPFsZPrwihB+9DsohveMacDpH17W82PUouzczZjpXATi89qhJPNusKTxhNnS8sheuvN+f3LtF2rO7Cz7wusvBEjxXU1K87hn0PLVFiDzC/3s8lFF6OwP9aT2NeYA8+qqbPLP5rrxDOro6/eGtvGIDRL08RiS74WWAuwSA7DyhaKu7z8cXPAbko7ojLAs7jxNwvCkcTj1pk6K8vvFIOzGBijtojbC6/wQhO6I6Ibw/0wG9df6nPBGhPTwgMWI83b6du2mI2DwUChC9aWAEPFntiLwPtyQ9e/28PPeQiTs64tA7MRu6O1CtpbzENo08uO2UvP3JxjymVcg8dX4/PCFL+LxTNuy7qMgJO0U5Fbxh3Nk8QTQJPZXJvrz9esw8NmssvItbLry35I28Zw7auw5cyLq9XPs68SRePPcKjDyXowk9A/IFvFG8XLz6BZe8ZjtpPOAbUDxc4ti8RmfyPFQ7VD2BTQU9MI7Pu+SzLDyEBcs7LIcGPeaSrTycM+66xy1TPJ3pxbo3CXe7X8+uvFvWrbza+xe8+86aPOI3trtpQgG9RwgAPS1TRbwpVHi6ndtnu8nGgzrQzT27upEIvc4PXzs8UC+92wApvJIqgzurVAU8Jv76Oj1nCbyPEuS8VNNRuypQ37yBrks91QgevMxo0bvFRAA8cdMwPKPKRbz/D8U8hS0bu6agkjw7u5Y84RakvNQbtjqv6Io8In0GPAQZwLwXm4C8XvkxPFHEUL2PEVq8eIivux0EaLyDS148B4quvITNKL0fFgU9a3sAvBBkxTytLmS8yOBCPIZDIzwwZF884FUcPLc3Ezz6WSE6P1IEPWpyZDty3uq8BEEjPRIZILtwIDs88fT0O3fVz7vLO7W8w99wvEZvgb0M+6K8d2dHu+9uDj0jr9s8H/KnuspGzDzoAvi8vAE9PCTicLx3pd88MS+OvGtsBz2cECe9FtguvZc0BD32FRK7gsgTvQxJizyq6Ty8gPoJvMYRxjwnh/67AqenvIK49DzJ3rm68be/uxI70TxZ3tG8HrscPealvjuK4AS9+Tt0PK2LijzS1Qm9gvMdPIhPs7wOIdy86I7CPFFQajy2h+E78fscvPtITjyIcLA7OU/HPBVomzwMbJ48XORIvFzIGzxJbLi8na45vMZUDD3l36G8YLIsPc2sEjtd4Wa8NHsNvOYgkbuHwye8pcSmOzWY2DtRe5M7ZwrTvHJjiTz4aiG82ygMPaGXAz1lUa68Jk0PPV0yYDwclGA7rN6EvM4klry/zZO8q3q9vJ9A2Tz62tK8HWmLPNIhuzxV8608XNyuvPmRCDzpApc80ZlIPFcCODwufKO7FAQLvJ4YKT3AGXk8UBw2OyH+qLzqGiG9ABP2PEObU7tBO8w6N3jrO4FEprrMQYo8x3UMvBoIIzwkPGk9bL2/O9ZT5TyutQK9uLGdvJDBurxH2Zy8myBmPVO6Kr0yhOO7JaNVPLo9hTxtgr67mLmqO3jCs7xta5M9ZJhavImUSr2AhQe8XikVvIxenTu7p847O1jdOypv3DyKg7u8MrDauNIOojxTRzQ8EHpRPIdn7DoGFc48vmFqO795eDw1Cgg8RhhavC/4gDrsF9Q8hGqXuforNTzRIJo8jVsRu8YJQD3eJrq6/lQevWhTaDuyhMu7vEAuu872Bj0l8c08vY14PLItnTs5Itu8CHWAvG3Rjzza/XS8Q/Siu6BQIT1LN9k8+tKFPAXYIb1uMAA8kiq/u05yErxXs7U8xokWPR0VwDxTT/K8MMQlvJB/NTz+Qgs99EvgvAJYiryJkzq8ApEAvCjG2Lz7/QG9Oc5Qu/k45zxfpTu8qB77PJUDu7y9/Cm8yzsRvXCAtjwufD68z8P2O5gfizx4Z824BdI4PXvnu7o9zhG9yycKPSReOD2TB6k8tL8WvfZ6tzw+ZuM8SCbeOqxOIjwX/T89Pfm+uputuLyC9cm84JYgPZe2OTn4WAA7mVGWO/Tf/ryXa+u8AfeJvMM/Arue9c67ZKdoPK5VpzyIgwo9xM4zPSNMQriZvUA8Vu47PJoatrwAcry8tuCMvLwphrzeG4u6RfYBu98VC70L3DI98ndhO8GTzzxODhA9Y8NRux/T4rym2w+8bHH1vCQLtrtXC408K7A/u4fwgbzBZau7wPufPKGzrbnE6bC7ULN2vKYWi7zvjps8E5XuOq6jTburM028YnL0vFL4g7y+8zY9Y/14vBS+GT1l6Qc9BwmmPNTFOTrluLo8xRxDPYxUjzzvebS7/irsvIo2S7xRP6c8GBojvMoCD7wGBwY85LCIvCjjAj3mayI8QBCtOlTkvjzUCBM5sglTvD4A6ryaQ2A86FJPvJ+kJD3T2Nc7cd07PLWEsrxk6QW7XoOqO2xoZDwCnIm86LStOwoo0rsMV+q6NZwvvS77/Twb/VC75HXHPNASnbzCBpk8bkXYO8G3ubwkB7C7syxHuz6VDrv2dqy6gOajvDoeTDtbsey8eIEJPSuJlrtBluU7k90qPNQkabo6SYC814DrvMlaVjzmitI8FzWoPJ3pSTvxkjk6UXaaPHY5wjyWM3S85xeyu677tryl4Lo6yFOmPK7Q0bvZkY+8Pc+qvLueAbw1kgY9pVAiu0nAujys4RQ81hu5vIIoWjx/ZRW9GWo9vFe3trzjO5m7rcMAvbgGTL331hU8FrcsPTlWQrvybHE7PYJJPATiF7xE+XG8COHAu6zm67tUlAU8eOGqPEhZ1zzzZc46LDQQPVIBNbw2kaG7iBgvvBXiKDxfVYM8s5AGvAoSErxOI6m7ykjTuw0q2LwvSMy79/jzPFFNi7zYZKC7KZUFumVil7t22Pq8QieXOxZxYTvBqsU7RD4XOvC8n7td8p060uOxPJTAOrs25iW8H2gLvBvs1LwbXVi8msvju4zDZbzKvza8izbfvCR767o9o5s8OE8zvPMxELyo26u8yNZ4vPeugzwmhWG9eS+AuGPpHr1UvMg8Qh4BPdFkbLqrYAS9opbvPFT06LsAXYg8NFcvvYbJJ7166oy67a5qO86cNDv4qSU8EOSLPLSrhLt3h6K8zVTMvKA/AjwPZWc9cxqlvBtdobyxGs28OkUUPMx++DxhJ6C834JfPEPk+jxxm+i6FHw0u4Em4bwZk608pIQxPauXuTx13ce8ePl8vAAY7DyQrFy8yD+NvBHtBT3foKo8xkvgu9J8Hr1Vqu68S5BzvKTISD35gxY8WEOGPPSMjry9bAK9jQ4ovKbqCjxL3gC8LmXEPMrKoTy/wrU8sFmDu/HgtrqJcJw8x4SDPLRT2bxAZKq8IzuIPJhxAD0KI4+8uimHvIArJrw1QoK8BL1avNgs6Ti/9iE9GPACPfB5CLsvM1K896QHPfPwsjqHzLs8JC3AvDw+wTx3GNg8OXmevGv4ljvg3QO6YYoFvFOZgLtYU4a55FFsvBywqrxbt6W8wIIwvaInAz2vHTE9S/P2PHXRprv0f0k5VbMnPROuDjycOb46dCGSu1dp3zuwKEW9rwwnvPyUqLqcBRc8B8SRvEO29LsILxS8+H8DvU3iPDwfoly8Tu6aOxv4ijzyPWG8F/mkPIKv1rx3AY280gtzPLWuwLzaoGO8P3MLvAIng7yxHVq82dHQPNlxaj3h/yK8vQNTPMEKfbxJJm06hvjkvEhUSjkOGai8JJP8PCdJpjx+EjO8NeT+PMCBxzuBV808XPCSPLHSq7vbl6+7CpaovNPBRL1ENIq8jl2UOcKsFjvvMkS9tkM3vNlZB7xpWv26ZnUVPGufFTwxIBy8fU2uOgqb4bt9ese8jjMjPJysCDxt07C6qZYBvKzperojSCW8vngRvH8OtztvwDq7ssqaOysjYboMg9i7l+UBOlBfDbxbusi7+t6XO96NObw/m4a8LxQ+PJr7sTsNsQM8oMIAPc8bTbytJME7uvvJO0pD/7u4Jaw8p0HNvOkOvjq3Jv27rfdUvJIfwTyB2B48ml2VPHUGGbsj7uG77gVQvH0jrTunKjO8GiUnvLlgKLwXTeI7e88VvCoqjTwmgAG8oysKPetPiLwyVva7GUTPPBaNkDslfP+7c9bxO2PeGrxyDKc7nzXVOZ1XuLmo0SO9DibcOQu2cjwtcsq7Mw0OvIEHgjwhttC5Pd18PA/ekjtG6C68sYZSPE/6P7sPCXE6/lfqvDDskryMRfE8jU8FPQH23rzS9po8DRmQPCDkAD1a0My7wfS7vPsCgLx8dGm7epgIvRWKB7wK8IQ7KBZlvH14M7v7ZBm9iOHsvLFWMb0Qega8Q1UbvFn6PLwI15k7nsFRvOnmvDwd1AI8wnAHvFnit7w8bfM7MfPJPKFx9LxCihy8nd8AvHRZzTte4TG8c0FWvH8FwDyfhY+8gXTdvAMyIz1BbwC9SgOovPDyJzzb4ew8au6WvJJAk7vY3w28h6YZvSiKkDsLYoy8tA8GvZRwYDxz4sI8Jx+WPFZqHjwjdc68WOsNPGRXaD3H2ow8HkcDvSSk6zyLlwE9swTFO3TYyTwKwYk73nEsPaR0cDzumHE8g0wBO1+/tbsMzAS9TjcJPMGjbbtyPFq7eg2XvCHZDz0TuwW9zsWGuiKrz7xeWys7FncFPB5nLjueB367k5kFvZWCTjwnW4m8BOb2uk/5vLy7kiA9CX3POoa1Hrz1aoS8MaGwvNl34rtyBhU9gX1/vEdqD71XVje8Sg1lvAQhezxDkWE8J/+QvKTg0rt5QtS8BmLvvGtvmjvNcFS9qzo3vG9Zq7tjypk8E+D8PKAtFzz4wb0808BevPxqkzybt9m7pS/KvM4ZAT0oSsW7Fs3WvHxsQTvITk28CXWZvMDKTby6Esk78PpkvElRdzwyrRG8d1xSOnUHtLyb+4O7yMQpvPhPzbyiv+o8OC4ZPMLHqbzHQDa8kqvLPCUYZbuo3y07aHPEOzlBSbz13K48+WCgvIQnYLtXhb+8cpRTOlRFVTxgbLK8PGMMvfxCGT1G9bG7KXooO+6jdju5DXw7FBsJPKMvLzxioJG8Z/GpPBcu2rz6v9K7BzPLO0S0ZrvkwIc7nGaovCZi+7x2B7E8akFNPRiR7LtWE1q8VjWGvPOxHLz1Yvo89OBiPK7PXTweCNS7/buWO1tLCbzE7JU7OPt1u9Ssw7pTaFO828/dvBSlAjw9pd+8Q0eKPHdbGzz4wr48k3M/vDK8czzBuyE8o20RPVmIcrzghKY7zmcAvS+7Ezw6lhG83Dv2PPFcTDwsdvI7qnELvM53PDsMJ8g6ENnGPDpwPbz4+TW9CtfePKL8sLtYkZ276d3HOgI5AzxUdco8yJKNu8F1hryM7U68QTk/PMj9BDwqSyE7cHAEPdh4RLvtjVA7/nWYvDtBArxiURm64tLRO7VNHLwKJ6W8Mv//PAML5LlBZYq6gc5TOnLIKL00ZAY87HoEPGRLFT3tc3u7Aw0zPH3Yirueaoq7Fa+Yu3Bbm7zZeAK9J0XJuvXkZrsfClg8+qfku0Xz8jy5XNs7terRO5p2hzw9Of67xnyNO7Se47vLn3q7G7nkO+c8Sjq4RE+7NmPrPN5fM7tIc6Q7QPOEu2O8Drw8pcw8KmqrvAVXmryDBrc8lHDNPOjgKbz9W3m8rwdLvOHs4TqGUNA7QtqCvNq1P7zenlO8gLRNPGX3oDp4YK08kRQwuw0wDbzWWSu8h/mivDAx5LxuELW6YJWQvHdGszxEbUG8dY/nu/wZrTucU9c8mzg+vUrtrzu7ftU8ng5TvHSASbyc/du8hx4pu9Td7ztnRvG6utK/u5XEELuR4jo745SzPHODqzycZz289I3YvDiBBjuGd6U8vTahvGbAaTsH4ky7cP/IPPlHSzsGs0q7rcH5OyBNnjyvKA68TPqvvGCqDr2luA47AnxXvURMtruqZL883Y6kvPPjTruGY1c7ERYdOja5dbuWVXU8YM8APLZuAblRCNa856grvHHfMDsKOQy9u5YKvbopLL26F8a8diKfPKZUgLxWG3+8idbgO8+d27wiEIK7fsv1u/Ihl7wIg7k8EO6wvIdLyTsefz49MOw+vNdn7DlLxc08Le0FvRnQszzpogQ8WUTnPBw6L7zeQwI8im4TOws1nDy448Y6KYNeO3xBJDyR70K816UFPDia7bzu+oC8fOGOPG0dLL1zDOg82HWDvOYphbwfImY8shm5OqLuIL10BJC88HSFvEEXkjwXCpE7zC7gu96oPzwaIYW8hz9Ku416Dj3RjCo67y22vNHLAjxecAm77jgQu6H80jyze+O8h/TwPHR4b7wWasW7rkbBPA1r/Dxd5AM8CCETvJQWbbuGQHM87AbVu2oHnTwgIeI60rOCO1jTB7yhwI08/G/8u2tDDjhU8a88sqn/PJOtT7vjX5w8ubN3PNGwrrwFIFi8+K66PDi+LjrEWxU9eD5Ou4KazLyWhpu8vvaaPMSAyDuQr368b1xCPPZLBbzmYUe8J8PoO6VrL7zVlrU8VeQ1vRdItzpa8g+80PYdu3Jpvrs7lA+8dMKPO5DEMrzaA4K8xjKcuySurbwcfA281WRQO9Lu/jvRtX68fkK4OtEDE7wmOTM8+4jJPOa7UT3ojBU8YbUYu1UmCzxd18C8k/YdPIiKajw8m9Y8ZSNSu5noj7vDEvW8PozMO7Uhlbzfc9A7YR5ovDgdN7xhVsI8EosOPGp4kTmn/xc9Dz+aPGG1t7zarT48pvvNvICiPjxGc/U6s4sKPM6SY7t63Gu8UDCtOan4m7z8i9G7mf8jvGv1Cz1DJAY9cUupOw8iqjzqfRA99adDO10pCT1PR1k6fNiMPDdfzTyDzuC7x2a0vD9bojuWQ7672WpGvFTg4LtzVIK8aXHPvHcii7xnPMU87OoFO2TeU7xwcgG8Ich5PA9j/7u2Fzk8elzmPEcUwbxrGcc84N0YO92IXjzxYiS8J2zgO+iygzyAzJQ7HrGqu/svNzy/c+A8/CT/umuIn7yWhVG98sCtPB3FJzzIJz28eZzGvBrz4Trul5S7At0PPPzADDyhNi497kKeu+ZCgzzYZ3G83pNOvFH8AD28J945aXXsu9O6ejy0NIk8Bt/cvKLtnTuFpnm85+1hvONnTbqVu0U83EI7u+CsvLtbu686y0zFvITxvLxLbB27Rk/xPHoCi7zmwCC6victvEFN0Tw+i+K7ZSzsPCuJhrtSm4u8tLnPvOZk9rwpGFa9Y0ievE8WJzxURvs75+c7PNvrrzwJzZ48xF8RPM9NzbyAVcW7/JrGvC5c0TuoTVc9/FeOPNedT7zFRwC8J/5KPDiL6jy6ezi85C3FPNf+bbsgxua7qe+juxvwA70vQZ08+FQEvRJQibtSJms7ENlDvUXhnbmW8sE8ClgUPBQ5Grvo6p689YuKO7iMHDvutcW5un1NPACfaTwBraO7nxIYPBmXwbzkT907Pky/vDCVCjzpIta8MrAbPLo9RjwYbZ678wmdvEe/Cj2dIsI61ZY7POa6ubwHpD+8RjFePBopqDw9Gi68PEa6PErrQL3V3gY8Za9Zu5atijxsi6k85SoPOz5iTTzg5yi8XmX6ux4+0ztQiIO9MKiqu1iAZjtDEYM8QmtOO8F2qLxTmHc80Qq+u2e4kTw0uU69Iu8RPNrEWbs7qPo8vVRVvGck+byF9Y48qZGjPBMk1DyZSy88zSCbvHMtgLzMKLE7AUrUvEbvGj191N280b4ju+ZqEryi7R08gP6yvA81YLzXRwk99qEnvRudWzxUHWi8ikOSvHooGD0glN28DtljPHTINbzeg4Y8KrzJOzsKUTwVISO8yF0aPZgbE7zjP348LYmrPGEO7bu8gDq9QuucvELptDyKFbA8H50OPGdEujwH9cE832DAPHOG6DvHALO8mtOtO7ssBL1r74I8nuOAu7iyvDyIH2S8/UXiPEQjgrzLXaY8xabBvIn8Rj141TG8V77gvMoH2rwFcAY9hYAUu/8NkDy4Tt+7ySSSu57NjztXw5o8gT0NvfRaLL2gLqk7Lzf0PCykXry7ft060NMXvGcgzLx5Glg8/Ey8vC2bQbp1xMw8MfTbO2EUgLtpdTK719zMOwrvMrzLwuY74nAkPf4XwbyYD7s7dkyqu/VTJTzrCi28FUs7PNmHizxKcAu8bE4rPc7AEzwW2pU7oha1u6s4u7snf1A74qzsOwB3ozsTEd48swMLPTFtybyzzNu8JV8lPao5bDwKkmE8b2/bvDDsyjvAD1Q82+ftvCp14Tw1l3O83A+EPC8HCbvc9LW8LC1avCK0lDymjb08JP2JOg4PIzyU1a+7zRJgPJil/7q5MxQ8EAMNPJkFBrplOIc7bwcavVXqqjyEu2K8YodEu22/kbyJbtM7zvY/vMj5rrw8EG88jb2NvI9+/zvYLua8ZInSPAIsFztv9Fa8BlcXvfeODbwbcOq88aODvFGSOTwvBdG87UnXvJ/eyLvRhre7soAGvDy1zrzvdFK7yUQwuhKSyzunrM+8+yNYvBhdhDs7/J+83IEyO2NYsrs2+CG8V1eFPA0FJLwZjY48IIUXvN3iHbwWL4o8T15iO56/rLzxYKm53chmO9gtojo0fYi8m01uuyiLBLkoXRq9kgoju5sxCjsaSEW8lL2yOyLUs7xGLpa7F91jOlVDFzwDUly8QhYeuVOdGLtHlBA9FCzmPFyy0DzMQeS73aeSPOzgIj0Dj2w8rwq/OzGRejyRDTc5mQGhOogXmDt+NIG82Y5cu7kmkjuuXtu8nfQrvBLZxbzVyp+8XWvhvGUKXbzc8oK5Riyku5dOtrwbxxM9iD4LPdIUG7kMNCU88sFNPFxA1bzt6148Jye7u58owjzBj0W41DioPBI2pTuOHFY7K/f5OzkI4rsFZcA7GcWru478qjxhlZw73J7hu1E7sjzGHQk7UAXMuzkmdrwRi+W6dwuhvD6lmrwtdOM7Zr4MPIP5yzuXhOE5a6gUPKyErjuj9d885Tv2OyZuFTyyJck8elE5PIcHFTwy9gQ7BM7mvD3qGjvj3um6lOhVO8e8hruthJY7XiggPPu1GTrCIee7PdOePBhKq7tMRIq8KIhsPC/AyDxAJGK8uG/cuwvaQryIBOu8fq1WPD5LnjzH0c28PMvNu6A7tzwtEqu8VU4iu7vFIjy+52S8VZ0mvNUihTwcSeo8YneXOrHMVrwVKR68jrIvvTv1XLtwPhq8tj2kPPuLzjxAa2U5jZ5HvC5pgr2wNj+7R4EdvTY4tjyn0XY7mfqyPMNeA7wjn4a6YZcwPJrAa7rZTpI6GF0GvVJNzjzjCoo8GsOlvI5ltDtJB6G8VdPIu1GqujsVF2g8bQkEvdVojLyODAi8p3A9vGZXyjwvORu9ZFxEO+F8xrym25E7SWYOu0WBozw5j8Q7fHIaPMBlNTzqOtK6EoOFOQBlljvL74a7+5KbvOXXeLySzGU85z0zvP2UDjoVevo8RjDGO9RSbLtvRcW8WfHdO4HB1bvjEKm8L06vPB4NG73R1re8Q3JvPVLQYDs5f+y84E7wu8Ifg7wuxSM8MnWGu+cJKbwL55u6lrZNvNDynr1hhPa6/zc5vQ+jyzru9ig8AhtzvM52Qzuy3jY84H3OvAsPmTywvw49MYTWPMU9AzsQ8+s8eIwoPa7rALyGbZi8MWmXvHugqDu40ry8wFEzvKYfabxOprK7HIzDuzY3FD3/XsM8tsGzO+3Zj7yD9Ee7OyVsO4HnjTyet0S8xMG/PP8VrjzBIhq6MWmuvJiuB7vTNoe7152fvJMtnDuo4cG7qsbsO9SDkLyLQRw8dja5vHxG1ztsokq866sGPenxO7w9+tu6SayCO38MHTwExvO7vMGFuqreQ70bJvI7ZkEfvG4Wojr6N8+8BU5nPTq4hTxVq+M8WAAWPLPLhTz0Ed48rZJWuy27rbs+m2s8cBzbuhnH8DylOmq7rD8QPK1M07sU/mU85mlSO5e+QT1DW6i5tUAsOhWFTTqDIIK8zLiEPN2w1LuPFKY8K6qeuz7MHLyInwS8bOFuPMKO1rwpJYO8si6dOxVuFTwkSH485NckvItNAL3gS1g8zBPdPKyJ2LvFLpw8LtocPY+QYrzxwm+8rBDbPICRu7tcJ1E83IV3O2/z4bw4I0O8q37Ou2PTrzuljog879Z6ulsI/ryt3uM80npDPKsuTbzSybo8d/czu55UUryw8ki8KKcqPS87obvE/Tg8jFxwvFUkp7wQigC8DgWEPTyGFbwEL7I81CU6PC8MBLyDxQ09HP2FvCUguTxsNZA8wijkO312Dj1VgYq7wqLuO4+J+bv8g6270l+fPP88Dj1IA/O8Q7qGPHQIhLx0s5a6gfoLvLAXdrx2vjK54CxpuySvJjrNZRA8NkXCu/LEHrwr3Ke8nxmTvLZWIrv2hRW8wpSpvPBqPTyNu5+8Y066O6mZmrwY2pc8MnIuvPCQKTx5sHo51XTmPNJAFbx8T/O8RmIlvANxprsyEy87FhU8vZBa9bu9lcw85+CGO2yPFTtFcG48vt0YvHA/zbwHIG27dR04u2gOTbyHrEG8GSfbO8RXv7ws5Zs8bSWRPDTZqLyVx6S8RPZKu4kKsDwdbX87N96TPGHtjDo0LZ45g+waPXyNdbrVSOW6CAYAPQzdG71iu8w85px6u8hjnbzDRQU8vH3hvMn3nrx/7AC8alPzO3bV7LsY8gK7h0Axu8Fs/7xhvoQ7L7PuO9fxojyYg9k8OFUkvX2z2LuMwYO86dcZvCOpkzywICM8K6krPdcmXDwfsi+7qD5RPe63cbwRqlg8uXlyPHghTzzlnDy6vd9GPd5IKLykUro8Y3LWOwmUwjyMOh89P91gPSoLDDzg35Q6eK9+PFQTUzw9Bx+8lzfCPA==
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Election Fever Surges in Seoul as Candidates Expand Campaign Activities
+ Seoul has been the scene of high excitement and fierce democracy over recent months, as election campaigns heat up and election hopefuls vie to win their constituents over. Campaign promises, platform platforms, and strategic plays vying for office have filled Seoul streets like never before; candidates have left no stone unturned in order to connect with voters ahead of November polls.
+ Diverse Strategies Set the Stage for an Engaging Contest
+ Hwang Ji-Yoon of the National Progressive Party has taken an innovative approach in his grassroots campaign since it launched on September 8, 2023. Hwang's message emphasizes inclusivity and direct engagement; supported by a robust digital presence which captures young demographics of San Diego - an acknowledgement of our city's ever-evolving tech population.
+ Conservative Lee Kyung-Min of the United Future Party also stands out in his campaign, employing traditional outreach measures as well as high-profile endorsements to build support from longtime party loyalists while stressing stability and economic development. Since his opening rally on September 15, 2023, Lee Kyung-Min has made strategic campaign stops in key districts throughout his journey towards office.
+ - |-
+ Park Sun-Woo has taken an unconventional route by engaging directly with voters through her "Listening Tour," which started on September 20 and aims to put their concerns frontand-center when formulating policies. She has received considerable media coverage thanks to these interactive town-hall meetings which strive to put voter concerns first when formulating policies.
+ Highlights from Manifestos: Promises and Proposals
+ Hwang Ji-Yoon's platform focused on wide-reaching education and housing reform, promising to bridge Seoul's inequality gap by incorporating technology in classrooms and making housing more affordable for middle class residents. His speech on October 3, 2023 was particularly notable.
+ Lee Kyung-Min prioritized economic revitalization through supporting businesses and improving trade ties, as evidenced in his October 10th 2023 address at Seoul Business Center's grand hall, during which tax cuts for entrepreneurs and a series of incentives intended to boost citywide economy were mentioned prominently.
+ Park Sun-Woo has championed sustainable living initiatives, outlining her vision for a greener Seoul on her campaign trail. On October 17, she issued policy outlines that included not just environmental concerns but also addressed building sustainable social structures with support systems for elderly and disabled citizens.
+ - |-
+ The Art of Oratory: Speeches that Appeal to Voters
+ Speeches have been key in connecting with the electorate. Hwang's passionate pleas for social justice have resonantly resonated with voters. Additionally, his ability to articulate an ambitious progressive vision for Seoul makes his speeches among the most frequently referenced in social media circles.
+ Lee, with his composed and authoritative delivery, has cemented his reputation as an experienced politician willing to face up to the challenges of governance. Citing past successes while maintaining an optimistic perspective, his speeches often provide a sense of continuity and resilience that appeals to a portion of the population wary of radical transformations.
+ Park has won the hearts and minds of voters who appreciate her candid and conversational tone, her ability to translate complex policy issues into understandable language, and her refreshing speeches as part of political dialogue.
+ Media Coverage and Public Perception: Influencing the Narrative
+ Media coverage cannot be understated when it comes to shaping public perception of candidates. Extensive coverage has been dedicated to dissecting campaign trails, with each candidate's strategy and performance subjected to rigorous evaluation.
+ Nightly newscasts feature experts and pundits assessing each candidate's vision for Seoul. Cable networks broadcast campaign highlights in continuous loop, while newspapers print bold headlines containing poll numbers and public reactions to debates.
+ - |-
+ Social media has also been abuzz with election excitement. Hashtags related to candidates have trended daily, prompting debate on political proposals from netizens around the globe. Campaign rallies have also been livestreamed via platforms and speeches widely circulated through snippets on platforms, creating an ever-present digital dialogue surrounding this election process.
+ Voter Mobilization Initiatives Continue in Full Force
+ Since campaigns are entering their final weeks, candidates have increased their efforts to mobilize voters. Candidates are exerting every effort possible to reach undecided voters and ensure their supporters turn out on election day.
+ Hwang's campaign has organized concerts and cultural events aimed at engaging the youth vote, emphasizing its value in shaping their future. Lee has set up voter assistance booths across the city for elderly or less mobile constituents to vote.
+ - |-
+ Park has taken an approachable and personal approach, accompanying volunteers on doorto-door canvassing in order to listen and learn directly from voters themselves. This direct interaction has created an atmosphere of community around her campaign with many supporters volunteering their help with turnout efforts.
+ As the final months of campaigning near, Seoul is buzzing with activity. Candidates are honing their messaging and honing debate points before gearing up for their final push - aware that their voices will shape the next chapter in Seoul's election history.
+ One thing is certain: Seoul's election campaigns are an indication of its vibrant democratic spirit. Candidates continue to articulate their visions while it falls upon voters to weigh, discern and ultimately determine how best to shape their vibrant metropolis in future elections. With election day fast approaching, soon-to-be citizens of Seoul will make their final choice about who should run their city.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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+ Virtual Identity Diets: The Rise of Pixel Fasting
+ In the intricate web of the digital age, it seems that society is starting to crave a new form of detox: pixel fasting. As we've navigated the terrains of excessive screen time and digital saturation, a cohort has emerged, advocating for a peculiar diet—a fast from one's virtual identity. But as we cast a skeptical eye towards this burgeoning trend, we have to wonder: is this another fleeting cultural phenomenon marked by the indulgence of privilege, or a necessary adaptation to the overwhelming digital sphere?
+ A Revolution or Just Another Trend?
+ September 9, 2023, marked the beginning of what has since been known as 'The Sightless Autumn,' not due to an astronomical anomaly but because swathes of individuals willingly chose to darken their screens. They disengaged from their meticulously curated digital selves. Led by figures like Marilyn Davis—a 34-year-old digital wellness coach from San Francisco—and Marco Jennings, a self-described 'tech apostate,' this movement, they claim, frees your true self from the shackles of pixels and likes.
+ - |-
+ Davis, with her charismatic talks, has been an influencer-turned-guru for this perplexing societal shift. "Our souls were not designed to be consumed in bites and bytes," she ardently states in her seminars. She encourages her followers to embark on a sojourn away from their online personas, which she pejoratively terms "the Echo Chambers of Vanity."
+ The Fasting Regimen: A Ten-day Pixel Cleanse
+ The 'diet' itself is not for the faint of heart—or perhaps it's overly simplistic, depending on one's dependency on the digital pulse. A ten-day retreat from all social media platforms, email, and essentially any online presence that could contribute to one's digital identity. The profound effect, followers claim, is a reset of digital dopamine receptors and a realignment with the physical world. They report emerging from their fasts with a newfound clarity and disdain for the 'addictive algorithms' that once ruled them.
+ Witnesses to this movement, individuals like Dante Rivera, a technology columnist, argue that the exercise is a mere performance—a fast followed by a feasting of attention when the pixel faster broadcasts their triumphant return to the digital realm, often with a comprehensively architected breakdown of their ascetic retreat.
+ - |-
+ Digital Hermitage or Fleeting Escape?
+ Enthusiasts like 28-year-old freelance graphic designer, Brenda Li, embrace pixel fasting wholeheartedly. Li embarked on her 'digital hermitage' on October 15th and curiously told her story to anyone who would listen—before and surely after her fast. "It was like
+ suddenly, I was free from this invisible prison I had helped build around myself," Li proclaimed, her eyes almost evading the irony of her recounting this epiphany in a vlog just hours after reactivating her accounts.
+ The skeptic observes this fast as a transient escape, an interlude in the grand theater of virtual existence rather than a meaningful shift. Critics contend that these 'fasters' are feasting on attention before and after their so-called deprivation, undermining the entire premise of what a fast should entail. After all, fasting from the public gaze certainly includes the abstention from heralding one's own disappearance from and reappearance to that very spotlight, doesn’t it?
+ Cashing In On Digital Diets
+ - |-
+ Companies have wasted no time capitalizing on the pixel fasting trend. From apps that lock you out of your social media accounts to luxurious 'off-grid' retreats that promise a sanctuary from signals, the market responds. The evidence is in the sprawling pop-up ads for 'The Offline Oasis' or 'The Unplugged Experience.' Here, for a considerable fee, you can enjoy the silence of nature, the comfort of pre-digital age amenities, and the company of other like-minded, digitally detoxed souls.
+ Profiteering from digital fasting raises the question of the trend's authenticity. The inherent contradiction is difficult to ignore—using technology to escape technology, paying for services to enforce a break that one could arguably impose on oneself for free. It all feels bizarrely dystopian, doesn't it?
+ The Science Behind the Fasting Hype
+ - |-
+ Some scientific reports surfacing—often cited by fervent fasters to defend their cause— claim that distancing oneself from the relentless self-branding and comparison-driven juggernaut of social media can decrease anxiety and depression, while improving overall well-being. Dr. Angela Reid, a clinical psychologist specializing in technology's effect on mental health, states, "It's not the fasting itself but the understanding of one's dependence on digital affirmation that is the true eye-opener."
+ Yet, this therapeutic angle becomes muddy when digital fasting becomes yet another status symbol, another stick to measure one's self-righteousness against the less restrained masses. If the point is to understand and reset one's relationship with technology, can that be achieved by individuals who turn their back on technology only to eagerly anticipate the surge of notifications upon their return?
+ The Grand Unplugging and Reluctant Questioning
+ - |-
+ It's a strange world we navigate, where asserting one's life requires periodic virtual starvation. We face an era where the existence of one's persona in digital form is so
+ consuming that abstinence is seen as a virtue. We laud those who disconnect, yet in hushed tones, we question the sincerity of the grand gesture. Is it about finding balance or just another form of attention-seeking, dressed in the robes of self-care?
+ We're left to ponder the longevity of the pixel fast—is it a flash in the pan, or will it evolve into a normative practice, like Sunday roasts or the yearly spring cleaning ritual? The concern isn't in the act itself but rather in what it signifies about our current state—our intense intertwining with digital realms such that stepping away is akin to a revolutionary act.
+ - As the screens flicker back to life and the digital diet comes to an end, the pixel fasters return to their platforms,
+ perhaps lighter in digital weight but potentially heavier with contradictions. The jury remains out on the authenticity
+ of this cultural quirk. But in the meantime, the pixel fasting narrative will play out, extolled and questioned in
+ equal measure—with many cynics eager to see if the ‘fasters’ genuinely change their consumption habits or merely bask
+ in the glow of their pixel-deprived halo before diving back into the feasting grounds of the digital banquet.
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+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: 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
+ index: 4
+ object: embedding
+ - embedding: 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
+ index: 5
+ object: embedding
+ - embedding: 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+ Sky Quakes: The Invisible Shattering Force
+ In the peaceful town of Echo Ridge, on a seemingly ordinary morning of September 15, 2023, the serene skies were suddenly pierced by an inexplicable and terrifying sound. It was as if the heavens themselves had cracked open. Residents spilled out of their homes and businesses, staring upwards, searching for the source of the deafening boom that had rattled their windows and shaken the ground. But there was nothing to see—no explosion, no visible sign of disaster. The phenomenon they had just experienced was a 'sky quake,' an auditory mystery that has both frightened and fascinated humans for centuries.
+ Cultural Reactions to Sky Quakes
+ Sky quakes, known by various names such as "mistpouffers" in the Netherlands and "Seneca guns" in the United States, have been reported all over the globe and have attracted a plethora of cultural interpretations. The sounds, described as loud explosions, cannon fire, or thunderous booms coming from the sky, typically occur near large bodies of water but have been heard in landlocked regions as well.
+ - |-
+ In Japan, where the phenomenon is referred to as "Uminari," the locals have long believed that it heralds the stirring of sea spirits or the divine winds of change. Similar reverence is shown in Norway, where "Fjellklang," meaning “mountain echo,” is often attributed to mythical beings known as "trolls" slamming the massive doors of their mountain homes.
+ The indigenous Mapuche people of Chile speak of the "Cau-Cau," a dragon-like creature thought to reside within the waters, whose movements are said to cause these terrifying sounds. And in parts of India, tales are spun around the "Barisal Guns," mysterious sounds believed by some to be the discordant notes of the celestial dance performed by the Gods.
+ Scientific Explanations
+ As scientific enquiry continues to peer into the unknown, several plausible explanations for sky quakes have been put forward. Researchers in the late 21st century have suggested causes such as distant thunderstorms, the sonic booms of aircraft, meteorites entering the atmosphere, gas escaping from vents in the Earth's crust, or even the collapse of underwater caves.
+ - |-
+ A notable study published on October 9, 2025, by Dr. Ayesha Rawat and her team at the Global Atmospheric Research Facility, proposed a new theory based on supersonic shockwaves caused by rapid fluctuations in solar radiation. This study, while not definitive, expanded the conversation and incited several subsequent research projects which sought to understand the interaction between solar activity and our atmosphere better.
+ Personal Accounts
+ In a quaint village nestled in the picturesque Swiss Alps, Markus Engel, a 56-year-old shepherd, recounted his experience with sky quakes to us. “I’ve heard the sound thrice in my lifetime. Each time, it echoed through the valleys as if nature itself was groaning. We say here that it’s the mountain spirits speaking. But in truth, we look to the sky wondering if the world is about to end.” His perspective gives a voice to the unease that so many feel when faced with such an inexplicable phenomenon.
+ - |-
+ Across the globe, in the coastal city of Durban, South Africa, Zandile Nkosi, a primary school teacher, tells of the sleepless nights the children in her town endure after hearing a particularly loud sky quake. "They are afraid the world is cracking up," she said. Zandile, along with other educators and community leaders, has been instrumental in working with local psychologists to assist children and adults alike in coping with the anxiety that these occurrences can provoke.
+ Historical Perspectives
+ Historically, sky quakes have been etched into the folklore of civilizations throughout the ages. Ancient Roman writers referred to these events as "army trumpets" and interpreted them as omens of war or changes in leadership. Native American tribes often perceived the sounds as the "Great Spirit" speaking, a signal for either celebration or warning.
+ In 1824, the residents of Brussels were stunned by a series of sky quakes that were later chronicled in local newspapers of the time. The events were woven into the fabric of the city's history, seen as a prelude to a period of significant change.
+ Modern Interpretations
+ - |-
+ In the digital age, the spread of information—and misinformation—regarding sky quakes has been rampant. Conspiracy theorists have linked sky quakes to everything from secret military experiments to harbingers of extraterrestrial contact. However, these speculative connections often neglect the rich cultural significance and the investigations by the scientific community.
+ Those living near military bases are perhaps more skeptical by necessity. Sky quakes are an accepted, if unsettling, part of their reality. For instance, residents of Cape Canaveral, close to military and space launch sites, are familiar with and somewhat desensitized to the sounds, which are frequently attributed to the testing and takeoffs of aircraft or space shuttles.
+ Educational Approaches
+ In an effort to demystify sky quakes and reduce the fear they instill, educational programs have been established in various countries. For example, in Ecuador, following a series of sky quakes in 2026, schools have incorporated lessons on natural phenomena that include the scientific explanations for sky quakes, breaking down complex meteorological and geographical concepts to inspire curiosity rather than fear.
+ Global Perspectives and Unity
+ - |-
+ This pursuit of knowledge seems to be a unifying force across different cultures. When a sky quake was reported simultaneously by people in the Philippines, Greece, and Canada on a day that would later be termed "The Boom Heard Around the World" on February 22, 2027, it sparked a slew of global forums and cross-cultural dialogue. Individuals from vastly different corners of the world were bonded by their shared experience.
+ Community gatherings, both virtual and in-person, have sprouted, where those affected by sky quakes share their stories and cultural beliefs in a respectful and enriching manner. In these dynamic spaces, the curiosity of the human spirit shines as people seek to find common ground in their navigation of the unknown.
+ Regardless of the explanations, it is clear that sky quakes continue to capture human imagination and inquiry. As we delve further into unraveling the mysterious tapestry of our natural world, what remains to be seen is how our understanding of phenomena like sky quakes may change and how they will continue to influence the collective cultural psyche.
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
+ index: 0
+ object: embedding
+ - embedding: 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
+ index: 1
+ object: embedding
+ - embedding: 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
+ index: 2
+ object: embedding
+ - embedding: 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
+ index: 3
+ object: embedding
+ - embedding: dGgTuoHkuzyss2y9tl8SvQAt67obCKy8AG+VO05Rdzw3j7K4+uVuvNgPnjuoIAs9e25tO/wj+bviAS0997uIPS6IiDyKNqY8JYs4u/Sc9roMSii820tAPVnr0zw+Z/g8MRSYPUTWQrwM16a83WGGvQodRLyu3948akGsvH5M/Lw+dwO9y902PD8hWDtRVNE7n9JSPAslZDtulWc8Cl19vKsM/buhtqi8EU2vPP7CNToLkHO8n+kQPLAliTtK+yi9AU+rO2KiB71cepg8G22DO30LA72gQDA7oRQYPT2Urzyfhp071Gghu0ZNlzxj+LQ6TvaTPHTkNzyqDSe8HiKXvOYsRrwcCke8E+WAvORUuTsJYWW68eAZvOALNL1ZbtQ85wjru8us6jxnqfo80awvu8HvbDo/uQ099Ym8PO4XnbzgY3A8hEQ9PPPQYjyWJJ+8wtKmvPKnfzu07XQ7drfUOdIgKL2YyV06CT1jOnbhqDwf3+i7MkhTPco4Kjxo/F08bV7eOysG37uCaeG8ebZwPGSkvbs7v/+5OUWPPMNqPjzc9Pk8ZhdxvBXXEDxkXB28gUCUOtyTJDh8PYW7MwOTOnXL/bwqrUm6RICYO5oHWTzm6iW9CuuxPLSrE7z/ns45FJv5u/e2mDshrGM8euc0uyybKTyuHay9rTbCO7iFKTyW2My7Ymj4PEUNbjy/uZG887kjvMF3crzaxt86YVzgOpApvjuGA867/szOvCEY6TsCfyS8d6oFPMbxfjvXdwq9PTGkvAVQyTyOWgc8v+g6Pe7d7Ty1loc6Z3uFu2tMVLsonWA61tXQPA53Kby9NTo8fdSuuqrZSTy/mKM85mJiu/HYLjr/gwQ8n2sUPIA+AL16c7A7lBpQO8FYs7zunNs8IAzXvEZbGL34HRg8nCB8OsNmY7zJWbQ7AT9NvK3MVLtSoQI8Ts5UPQkE8rt+Eo083CYeO+fIZb04JtW8/NfROj6ekbybcr27RfTKOqaiLTxqnBQ6wmsVvKt2iTyjiku8qx2UO1y9lTxAnoy6OWEOvH7ovbvI2RK90aCzPPAQg7yFk3k8AI0CPCKKtryB+vS7xFNsu0GLl7ungOq6J8HGO7g99zz1aVy7VpKVPEjunD1GcHy7+FDaPAe0jTk7a6w7EMGjuxLhELyhVbQ4m0RWPSYJKbx2P588DRNFO4FLmbtu/ne8FZK0O+uCnrte8Ao8cv5IO9eI+buH0t07XKL4ukVrsrv95Ym8Vsy1O6shWrsN3gk9YRpjPOepnzxAgP28d7yuOlQlsbuv9RA8nBOHOoGdhbzWZQu8IuGOOQAPgLyWZJy8hzlQvKni7TvDij48iaw6u4gRCrv6ECA8xiJRvDsOoLl+bKM7OEF2O460ezxSZIU6GqXzPOKRBDzd+eG7T1mDPFHkiTxp84E7uZHGuw6mVTtn1J28tGxMvaz4zLwFcGW7MT63PHPu4zvOcRS8Ld+oug323rtL2wo8KpOXPLmuxrx/q3s8mzZHPfSeRTwdqeq88IjCO1jo1btT1es8E1mMvJSaGTuIf5c811sIPEKtwzzBwcA7O6RHvPH/HjtZA1i8LLXEu2v8A7wYLeW7SLa+O07FqbrnYU487h7NO1ZFOjyBLyg9KJtiO/1iMjuxw1C8NcvHvJvbcDwT0Zo8ZNwEPIYs4DybqjW8w7SqvG5uyDqa7XO8YRwGvSlEubyMu0288U8eveID2TyxY6s7meEDPbe5kjyd95Y8xqWjvE2KSDv2tZA8aXXKO3VY1DtSkoc8OKr6vFbjoLzyXrm6QDn8uyQZHj1LPcw8pBRpu6kJNTxtV++8O7wdPSbwlrx6OXi8hg04PKhmIL34dzA7mDIZvXZkzjsVFQu9XU+lvI1nyrxD+zw8Pi1JO7wayLvn/i28JYwTOxrIpDkZNAm8+D6XO2ndHzy/8JE8ue45vFFeIjt2Yy68jWoiPH+5pTx8Pcs5gvY5vLoDFjxo9xm8ZDraO3S/0LrvG5Y5lrUovFEQtjxJ3XC8gKSvunpvtjszQE+7E/1wutcIcruubQ68Fp/tvJmGPjwIYFy86RL0vP5eDj3FYt07C82iO/oZyTsN7pA8fMQQvD1gDbodXa+8sc9APKrQB7vqeBM8Gj0LvF1o6zyfAxk5DYROvKo6k7wTNbo7z4tEunQ9lrx1SI49wmwsPf9lXbzw4q27eReaPYuL87yADUu6yUTaulP+/jtZ3i29mNimPC52y7xzzJc8IC25uxHjgbw7+na8N+hPu/f3mDyOw7I8tp4UPfTqj7ov2Q49UOP6vGGNLLyF1Z08h4VdOoohKzxHuRI8LbBRux++0LyHJKO8xEKnvH5TrLrj2Y+9WWWWPOUYFDwbn0A8ZJMru87ygjxtAmC7WS/buxQagTykhq06ETCmvNwwOjyqane8C2ufvGopPLyrSDy9ofexOvOqLbyXsRO9zp3aPCVw7rwUuDg8iAAkPEPLZjz2neG7qZi7u8WZNDxf7Ho7zQuBPN9L+Ll7kSO5xJ2ju+sE0zudzFs8RweauylgNjyQt5I80E8TvQZPNDzJD3m8tO6DPJ2lHDwErbG8zuWhO7JsobxesJ281yw0PPfxHz2O8RQ9w6LqPLXZNry8jo+8os6uPKrMyrxPiVK8+eXrOnJRtLzuoxk8roQLPTh3hTzJ7Wm85KkSvKGGNb3ODq08PzqtvMISKL2InVY9ZccevF3fprxqbZo8p8CfvHgjkrvncJU8VIGIvYiIVjxCcT+8eg1fPLN5hDynqRO92GFEvKqKTDyNOZy8hhWsO92l57yX5C48/C6EPFGFzbw2XEw8E7+KvAhrd7qMKGA8yR65PNZFKLw/9oY6NYvWvLefJL2Eyfy8sVS2O6nyorspSeE5sWvRO6rGprx8kaG8Hv7ePMgHKTzrVya8/JuAO3bQgzxNPZe7QDjGPBrLCz0paJm71xqwu2Pl2Lx1ZsS8UFDEOjm1fDy8q+k8rM3SOyErEj0fTZw7PomBOk+ZjLyaLgo6456CPM1kmjyHJrU88Uh+uhIUczymiZg8uqYBvP98hjzwSda8zff1PPPpwbwifAy9Rf+VPNFuBrxpIYU9DsAqPAr/Hbz37oM84oPJPOWkoL1RLIW6VyyIvFuIpbsPTEa7JP1ivMd3ljvOUTe9KigKPU8p27uFU4Q8cKXqvCpgObxxglS8pIMgvN3nLL3tESo7w0WBPHXW27xyvPg7QmaNPGdOpbx4HbE8VrrivDUtiDwEMUy7TseJPJzsQbxago87yoUBPIATAL1Qds27STI1PBljZ7s/ggG7SaRoPJ313Lws0Qy9/I0UPL7RqTzOX1I7l7UkvYwlAbzpzdW7xxoXvF/bADxFIM47oU9HPJRVJT39WYK78WVXvDfJ2TtJwx68dpQfvQJq8Lxfmyo89M3TOt/79zyKxEC8ISwXPLvqRrwBwyK8l4YHvOX3H72mbgs9Ky3DvPebNjz0uYK88Q3KvEnwK7xGDJ88ZI5jvA3mOrzaceA8lTYBvfLSSr2mary7ut12vBSV1LtHQ046fE6Su73hBT3NdPA8lIU3vH16fzz5zC88gdXmutdWLLxHM4M65JEIPRfNvzx9zSC8D8upu5Zwijv5rv27RzwrvJiYQD1mNYc8H0ggvMXrGLsn5G47+JlRu+nz37sjz4S8QGDYPKHNpru+l7k8YSAMPL5jT72zVWo7l5cIvdGKarzL/U88FRpmvCU16Dtlqbm8p6EdPLZbpD0vWQE9RNNRPFx46TsdgyA865RTvCLf/bzuf1U62QDWulW5cjxuVSS8OS1Vvdgj2rtoI0w8btO5Ow9ftTwtJTG8zfLau3FVTTyR38+8gQVfPEENrbvE9dS7xZQ/PJ3rszvnF+u5ITIhPGcAo7sFxSO8pH+nO5MDCDzOmZ47eyWivFF5VD3RCjq82ULrPEHWarxpF4y6YUCdPEAELbwjUCi8oc5CPB5FnrsZrPE6OaXrOibG+DzcJ/G6P524ul7jtzujDOq8AX5YPbDL9zzDFnS6EitmvLnV8TxZ9+88OB1zPEujTD3zNn87K4hIPIQrmLyQnmU8grVDO/drIb08hhI8aIO2vB5QCLx1Nsa8x6TUuyoRAz38Ceo8q789O4L+C72Lg588XSGCvBgynjl/YvY7BhILva4guTyQtRU8zHGKvIsxLzwDngy8vgmDOw4o4zxilgS9tT6wPGLPgrxwWz09e14MvS6VIz28g8I7GUfnOqNCprwbNJE6vWbMuxoZRjx6/rm8+PeJPEzzDr04hHK5eFAYPR+U+js1JCm8YcTHOz2P/DtTlac8qqHZO2GD5rv7Jr07DzaTurcsJrw1OMI87DWCPCS5hDv2/7w85NpJOgTIkTtLMGI7a+kEPLRjh7rcgfg8GCK+u0DudruBADK8X8P8O1RzeT184gC9xbqAOucXxbk9NyG7h0pnO+4LIDwfwRq8FOjmvKDZCTxOx8a8LyJKvU1ZarxluUM6dcvXuqyyOLyr4m88+IuZvMe207s6iEk8B4QbO9mgnLyRKjM8GpBsvBhOyDwockc9ABsnPJBSQLzZB368CklAu7fmZL1heFM8zHXfujRMJjzSm6A87sfUvO/dSLv5aCe7p1SAPd54qTyTqPg8Q/zCvAA8NLx8YwQ8MVnWu0IymjzjArY8DfahPFWsT7x+ycA7g3YhPADKGbzp1V69QBgqvA5nqLxGsLa8Y8U9PS6Y4DtIBo48hVeSO4eJvzxoqgS9dOxLPMYembzLcso8/0uKOxPTQ7y18BA9tuK6PE2Lr7x27fO88qdbPBYyEj1vC3G87UHROy+iBjyB26q8SHJAvUDv0zxzn4e8fwImvN1p/7wlvwU9bOzZug1CQjy6jhC7aBEbvWX4lbyh4I28Y3DaPHC9JjztnXY9YKLZPEUjobk4wh88INE8PLwJ/zyn5pe8UVCTPI8fsLvwXyc8942oPN9y8LyGUQ09PWANPQGgrTzlHvK7qZ7mO19L3zx6woA8rJ6lO0q4FLvzGw48W6pivFkIXbz6oRA8PkcuvCFPFz3OzpA55IuUOkhUIzvUdSQ8C0zIOglGnTrCL6C8rbKHu9oP67zfDZc8TEXcPO2HC71+hSS8JrB6u++veTz4WMk6uoEPPAbx6jyTF3c8yKqlupwwObxLHdW8jD6bu+BiGbxmnT481/TWupPFeLwoQqC8860lPAK3VTzHFRi9GjAKPeJGFjyV8Yu8e25qPBUC7byiPsy8CVdBvGNRrrukGE88eIbSO76/I7x9eZW8HnGOujraSjyOo128C1BlvOtTW7xO7gi65JZwOSg3rzxp3Po7NfaDPLpDXDtBt7O7nVqJu/lZqLqStMA8ADtBPPOr0DzKvOw8wg4nvevdg7z6ZTg94fEtO6xgETyLhi86++58O+TR9TzHJ727jGltOznYerwtt9081RBtO78zBr1/KVw5to8avfuRi7xT7n08662xu/iLiLzibo+8lZJnvLWumTxzOT08c2chvZs6B7t8YA+7knEOPaUBBT1n+hk855EGO2mpXLwAasw8fchHPCNiMDw4fzE8fqHGO8KOHbyYGuq8SNW1vNn1XbsQ94s8LLIbPWDR7jvu1fY8rsrBPNVHubzZvoM7dQqXulQuzTx8YEg9YY0BvQ0nTzzQGGG99HHDvOZTirzMUYS738y4Ox18/DwAu4o8ANIIPTMhkrsKik27RLoKu8mI/rltuuY7J/77u+pdDrxt3d+8ebqfPHKDeDow0G68VskZu695nTx119G8di5SOZz3mrtYkwM8qGAbOQ7BbTwnpr+8nwNiPLAK2zxx/Io8vbv9Oy4Lyzxn9ZI7jQ4pvJiuZrzj+fg852uzOb6cdzzF+pY8L3m1O3k3ljzQl3Q8gtkbvGMouTy9yD68bj/cOS99TDtYFYW8J06/PKvrM7zR8dc8XMe2PM+iMDsKkuI6qOK0u/SwfLthas+7JVmWO5KasLzdUwq9mTejvDqvUrrSy8Y7L3KBO0o3B7w8AGq8peywvLyqzjwCyOc8JwOnvA2XF73Y2vk7gufsOwlmpztXPvC86I6ePFG6Gz2WL6k8LY3aPGw24LtOvQU821KaPNhwCjulcPS8IIClvBDy5rws3QG9nVl+PLfabby/0Jw8d02NPP3E0jofxxa8mP/pPD0keTyy39679eocOzJwUTxPWoe7D0FtO907VjxETgW8guwVPa0wmDzlSRk9lm9UO/L5IrwaICc8C/aPPI9Sq7y0MAC9VNnsvMpmPbx7BF+8jW6SPEf6NzzP8tq7CEhyvAJu8zwWFeq8LfIvPXY+3rxypH+86M3lPOHJqbr/EgK8LC3fO05PpTzwh7Y8QTYAvTJ+8DtBsgs9XxZ3uzlFpDzdLlg9pZikvNE6D71Cf3q8Q7JpvEoLCLwUIj69lVoAPKTMyryZ2lI8JOyePCUmJbvnpZC8t5WCvIlo17qVAwE8oWR0vC8eeLtwhoE85WBwOjXRvznd+zq8pqNnPfzVLzyZKTQ82+uPOp/57jtKXuE6RqMCPbZdkbxPXTK9dxwZPGBA1Lyn0Uu6lqnVuihQMTx0ThW8IcstPZj55Lpa9268IcUFPTFl/7wId5Y6ABVQvENsu7u6hIK8PELRu3hxE7sUES88birDunavkDxI25Q7ubmmOpDVvjuWLIe5y93avE3N77xH3hE8cU9kPIZhaDxKNeS5E7N/vIALBry8HIk70FXWvNoh4zug7988WLJ0O2uprDy3qnM8x6UePeWU+7uhYC+8qJ88vKREzDq9ccK7Z54EOjKK+rs/YMc7i3LvPOVMhjx+EwU8Jr4oPMLaTjvQ16e8V2lVvPNPyDxQpC07VnWlPM5fZzytL5g7xWK9O4wR2LxLMhu7JtDBPB4UCDsaspK8YPjQvOYbZjwATIc7MevAvEVTQDzhRXu8BmPmOz/+Br24o0k8zisxO6cGILyGiA25l3dgPDNDubpUxIm88mqAPIsPcz2PmWc8Cx51vHnd3DyxY4i8mqcHPXpgB7zQtQC8Y05RPAgaODw1Ixq8C3OHO5ZFZbzmsZ880EpAvKiE4bzPHqG7HSqyOzVYgjsv3da7gMvRvAdby7wZyRo54BoavND3HLwMc+U5r+wpvXzSFT3SA9Y71Zpcu4xmyTwcDzW8hQhHPaoqATwD2Ms7VN4RPAD7MDoWIg085riuuiDIAjzz5Ak8XrADvOy557w3E/c8+SkYPaI7V7yURjE8Jo/evP7xgLvnjVC8bHf4vGdCN7zaOfc8vJjbPI1Hq7y8X2K7zJZZPI/Kd7txOR+9vb7UPIj/qjuEvCi7Kmz8O3Y9KrzCR6U8D+WAPPgywzxNmem7Moq3PLC/dbySuz88IlnYvKapdTzgxyu8kDXlvHwQH7srYra73iz4u9dxfzwETfw8ZdUsPMI0ZDuvXCo8XG7KPGEGE7zMymi4PHlrPLYViLqtgKK8F4eROVjw/DxazIa8rYl7PHKJhTvf0n27M8bMOw5dfbz8S167sF4BPNqmwjuMNQQ9WOq/vFg6QLzT3xS92oQWOcUC6TpCgyo8XA0GvB9GgDt0Hfo7EMSkPOQD8zrMJK08XYyjPIDsGb3YkXk8PB67OzGEZzzDyZk6hgG6vK2oBr2QTAo7fEEevcxZvjzfXTG8WMMOvdxBBr1/ZQC8edLRPAd3K7xbof08u/BBPAnUCj2ilQ09jGdOO2mnn7wzerM863vCPOQm87xZvx88FRlkvPUN17vWDDc9eltmPPl2lbyYqt67QuvPPKH9GjuCm+G7ombRu6C/RjyGMY+6+xEuvEbcnDxtOui7C26uu0W5/zz7jKk87DArPDDfyTu42Ae8V2saOU0yL7wacfe7udC2u8HRzjtdvQ89KeNSvLADwjyjyDm6fLGyOyghu7vbxH08R49TO4GlpjyrY0E9uKjLO0SrgLkz/vK80owMPIrdWrxhtKY8iAU9PPkBZjwMywQ80NUQugsdozyOnzu8nXSkvDjbJ7sVD6y8EVYCOw3h8ryh6t87mDLXOyrnCj10voG8hJ1KPO090zxY5xW7Et17OHmQ5LrZBX06KMBAvHPjsjweRRI9daIjPYWiPbw9zP27I0m4PK5yXrz6Ae+6U8AzuvezgrzIBqw8qTwgvWaqeLwODVu8QUxwu8hg0TwVsP87Ks2APDigDTvsfJA80aVuO1iF3jp+ZZA7NW+tOHaFuLwHcms9XTh/umzCVrxGeg67XWkgPLljA72DvKC88r+OPFAbwrwdyEw85OkBvGEByjsxexM8/E9VPZjBPzsxsh68mRm5vLQRHz1pH9Y8omAFvdGCcTw3n6e7wlXoPM8dfbzhbhU8ZIm1OyJBTLvZv4c8B3Ilul607zw14xW91oI+OpA4YTww87C8tss+PPYCuLxDkUI7JC2lPOqewTwDw4C8mj+7PCIsorzSqJE6/wRfvKwl4jwq3Zc8W7e8vO9xSztty8S81RUyvBJjDrz6i8E8w3rpu/wM0rtCmqI8ttIDveMUZ73M/F28zlpevPVjiTu6cks7IHIZvTA1Azy1KjG8VmKEvPJQJr2/HuA76TJovHM/OTy+kLa8TAI2O3p5Ebz1HCm8tX3wPNLBJjzcPzO7O43TvIC6A7xUvh09hIEuvU/pRjxEL4i7NxNwvD6aH7o2qS+8o+i1OwIg6Dzu45C69E2AvNW7SryFDJm8RUKDvEFDZTwF4b48yeMmvbX4FD1r4Yo8Kvz6u+kJy7xHCvY8hzsHvMTswrt26jI82iUSvc0dmTvE/z48peuNOdZABj2Yw9y816c/u78Prbw+qlm9iw0dPL3Qfzw/gwG747hwOzUErjvc1qQ7biadPBIsgrztqX+8Eqb6vD0j+buNRkE8+QGNuuPkv7oo3io8Vrh8vKNg6zxeoYE8SySUPJUjAzwC2le7YQalvB4uwTyRWqM8NgM4vGyhILzhS1K8GpTtOz2+qrw324G8jtA1PBzyV71fVwQ9GSswvITXT7tCZww9qlwJPWXOF72Tn5q8RKu1vFiz+jzmsgM8szLLuuqYPDzJKIQ85zSAvHqlWDxqVXM48VX1O+5jtzxEpoK8h95Yu1dyWjx18oe8bv26PNemD71wTSq8FfGBPXBrlDtWIOi8jsI2vEDfATxFPP06ZsafvJ8raDthnYo8WHSnPLTtvryar708ck8eOypNDDvTILY7Xo8/PNDQyrxD1sG8mruGuxDQxrwJBHY7+zcqPJHiTzx5yY87iyIjOjINwDxsb9C6iQYIPdSxhbwJ/Ti9OehWudDY9Dvls2a7JH0bPAyr7zwG+YG89Ij6vK+8vjz0Mcy8IvVGvQSzzzsymAu8WlHdu55F77vgF9A7ssXNPMjonbvoisW8vmwqvG8Io7sB7la8oJQGPPP1ZDq2SKE6tRq7vKGxPDyGAmU8btqsO2CPozw+DQA7tvAfvUlQh7xrnvQ6d2pIvKL007xR10k8eLL1OWgtAz1RNBc6Ji8tPWkFaLy3BZm7QnN+vbQJUTwn44m7YyONPNy1grxvOje83xnUuts8irtGsyY8CU4CvS8cfzwmqBg84GrOO4FBljs711y8AwwAPc/+57tBVxM8naFVO3FoTLt8C1+8btI6OiU7Frw7b0S8x1HsPOI0izvgBS06c1guO7/V0zo9LgE6ziyzPDvfnTzM3mG7vVJjuj2LHju7/Vs8wyt6O4WIgTzlKJO8mkgcvHH7Qr3iMVK8wYaLO+V2q7z7R8084ECbu2D5VruGvLE8mu4OvLQqv7u7xkA8JJcVPAIuP7x5A5I8xf8FvNkJ47zwFKS8G0bqO6UyHbyqYqa7owUcvOYEorytcK48iGeFPMeBzTyiJls83RkNPB9gGLxhD9U86dc5vBQzgLxC57M80OFUPAYypzyarJY84SBsu1JTSrz4c4+8ghD5vC7sRDyCYey8MFMAuwHMo7tAo5Q84c5+vAzVJz2xj2w8CEzxOzPnbTqa4UQ8CNncOvkCnzw8PPq8WHaYvMWDLLvZ7jk8HhWBPEB9n7xUoMu8JfqiPOpqw7u03PQ837VwPcQ6ID1LCgE9apHyOpFgBb15SLA8fMo9vOxbsDzlnBo95CAsPahd4rwYLgQ948UAvb7mWTzAVqm8opSAO4OkeLzpwO27SxGdvH00+jobhj08N1CFPNGI3zsAnXQ7zMiKvKSQjbwtdXS8oAuUvMu8qjwqBq08p1DXvEfV3rz8vBs8Kcb0O/VS9jvK8DQ9syPIPKv5o7xKu8U8AigJvdzYvjz/Exc9r48PPDA0zTyn/MU8v8e2PPQHPz1SV4e7B/waPGARijbkEDg8lREQvEihAbtVE+K84Z8OPH2nw7z5ItK6omLPOVUIFDsUbAu9yCYSvHFSYzwyQ0K80uqIuyRSejztmYi8wT2MvLhcJrzGrh48aZyvvILN3rwysnm8iXAYPEMrFrxHSvY7j6HmPBD9NjyKHq6841uFuoRXGr2hjpI8hpsnvNNYXjyOKxy7tllUvBLYizx1XAQ91SPJPKHQgTzR2UO7rul1PPTNIT0wo7Q8kPzYPFzLXjzwr445y8CSvDp9wbt/IkY8MT//u+K63Dwu9Z67XJ40PANtmrx/8wC6kaAOvC5DpDyW3Zi8z6XhOwYjn7zD0Rm9Ps6JPAJEsjsima68thYOvVdoWDux/s87MMTPu4OkEzsWlE481ROYvD5cNjwEWSy84w9iPEaLirxHACy5yoZ+vOW15bupGEq7XwXMPEg77jqTGPq84lU7PPBNFT3fuGG7Uzn+u5n90bxfZPo8BJYhO6u5Gb0rjry8oZAtvY4GdjzskJc8AU5LuwWWk7yV3ei8d7BqOyU7Ej3xFAa7WKFDPHkXyrx4EMI6qYgHvRuzV7yEO3m8LvddPH6OI7xnkCI9XcOPPNKh/bzAI5U89BnlOseiyLsybes8K7dwu7OdbDxhnPq7RvzFPPO9oLySVwi7+50APfgcjzvemZm8+YclO+NT8Tx/54u7VpOQPKO0kDy+M568gslMvLOBRj3pwpK8nEwMPJUhLbw5ZFa9jkvJu/I8Xbx06p480bnfO+STVbwUfF+8NmXaPJfZfDypLK68orsGPMIJq7w12Tq8GJjyPL8LVjoI8gA7lvrYOz+nTboOFgY8DUbhPOQYDjvXtS08qHGpu09ppLxQtfa7bRTdul+1PjzLWvE4iF1TPO+3d7vkaPQ6aYAsPOnunTxZxyC8UltlPDEA0jzovAW8xaAovfTbDLsmTBm9opOXPBxHFbzzTPO7gHqTOiOLvbuP2o47uOOKPE/RsLzFKY28ktGmPJCTgDzEm8M8fEWHOulnyjuI8Ig8L9IUPGB2AD069Iu74e6fOpQ5w7vPrtg8kTYXvMU1pbqyYI48UC1aO3vSXzsUaT67azUqvEiOsbtG/1K6Mo7UPDc6kjwzzRu8gYoQvGb9LbxbrK28Dmr8vNXAxDjT8f68TgGwOjYSBrunsM472hlAvETQb7wYxoa8UMO/O6PpmDrfV3K8DGmxvHVw/rw36rc7lwkXPFVEdrtHwfc6VW+Ou43vwjwxR6A8dv1dO2z9LDww30G8R5jcPK6DOLwIs9O89P1vvMwBLjystes6NO8rvM9QUztuDxQ9Ld1DPIPXGj3RBsg8NogBvS/HyjxjAWE75MngOxZyibwI0Tc9imgcPATohzvhSyg8/oThu4UsjTx1SxO9NviNOw/eVbwG/Fg9+qTVOyWc+bzIQ3U8p06wuyLaLj13L9U8kIKAvEGPc7xj5Cy9Ermgu2d4jjzYEc08yhUwvXDcnjwH49k5TYz7u9Fuhrv/yf07KtbQPA1IL70B6L+72DS4vP0ljbxuzGU8teOnvPqNWruIGzM8iFTvvJKu9Lwpbpu8HQwDvJa7VLtXY8S84JKBOlUk9jqOYQ29mwgnPKNpcDwSWrC79DQcvQ5sQLs5tJo8N/7jO92+N71oeuE7JiKvPL3QXjvgSGY8ESkTvPaPUjzLZI06cNF8PGYw87u2Im476+bVux5EUzzx+oC89tgjPBs6qTzjIh48RUF3vLvdlbzBH4u8qxOHvG2/k7wW14c8yKiHuwviMzp4ibS7Qqvwu6iHqzspGNk8tD4TOOiz9Dx0DBQ8tW0AvaIJTr1Vspw7imuQvBO8kbqlDAC9pyCyO8YItToTy0g8+JQXPVz0EDtgQ9e69zgMvNv5lLzp3u48Z5eMvNltD7r4uUQ7xUdevI0gsLtF4+O7r9uUvHv6grzRzsW5FJvPvL67Ozxq7jQ9t0YpPKlPBjxrcUA8Z2D4u0DBYjyND0M8JRKqOmIyLjyXk6O8HYnSvFka/LomR8s8JVVzuwQwbzwb/U28qa3rPD7INjtU8wg9yfQoPE081rx9F1U5JYVZvPZjKLxlHSo7W6qhvBWJJDuNjAa76+plu+dG5DsbUmc8S/ElvPPFPDzwoCm70uWKvJBslrxJYf84L9r/PJuNizsf1Zu7gUnrvBO1fzzzbkw8ayWkPDmd87o9O0S8fPOlO80kObzGpSQ9CQneO75vyTsbXEU8aJXKPB0QlbuXN8+6PStPPP1BPjxfSyi81+A4vGZCsjz7dd88Lzv2uyyaWL0XA9m8m6oVvOtWETyS0zG96AMcvA4DLjxD3tO6mXGZvKwhDz2BpxE8hXh8OsnEu7z+2a48zvGpPENRmrtONI28Dw58PHJJSzy1OZq8nfUgPbfuNjxLi428i7GSPEJPpzwPxUM8zRKhO4Dx9LhJESc94JaKvOd6bjvTSh09S8d2vJpo/buo2lA7rzKXPGRV1zxtO4+813Slu99DIjzgQaK8Z9esO78HFrzN+KG8SnEvvTxxmTvuVqu8UXd6vJTxxrxsWbq8bT87u9NAlrswxTg8WjKTOvPRgrxVvxU7ybkcPTPor7zbey09NlVKvMmh7Tu59gw6mwzHPJ4Q7rx+MpS7br4XvEqI0rwHKMK58V1bvUd+k7oCG607Hgq9PK2AALzUHcI74RUsPKhilTxtI4s8r5fHOyzLsTzEFqq7hD94PDroJbwyLzs8ZzxnuhmTJjtXfBE85gbvuy6s07wt7qg8bZ6CPK58njxW2do7iqZrvHgtk7sxiKU8FInuu1lgRT2ZCGW77XaOvBB5IztuVBG6N152OwLxkryMYJG7nqQXPaHBizyQEKm7gKr3PLuNKbyqEva8BdjGvLHJtLzXsIE8q//qu1+D/LxPGbG7TCrCPDdqjLuLdzU7a7+qvIsh3bqtAcW8FcBEPPOXIDpBysA8bFZCPGmeCrzTTyk85+8Ju2yY0jza6AK94TJyPEmZU7rZvte8ivuOvFByxDsCzNQ8WPt5O49337t+Rkc9JT1QPN+kFr37/1I8wSxFOyqm8bzWxDm8WPgHvMT7tbznXcy8nCuMO5ZdgLzpFh685qPbu+uSHTybWaE79OaVu8iIqjyMD9g7I/xsu7+1VbzXD5y8oqYUO2KXJbse4VS7TS0ju6gaRDs+cMs7QKfGPITYvrlLDgQ7p5guO53xUDlJchE8IGzku1QHnbxp0RW9gHRPvG1rgzzPg/g8GKSGvExGLju5ZD28OUpIO+pL0LzBybQ8b8SLPGhtfTvgNqs8GB6zPHiZLDx7LeQ8Y9ERPJaAiDyeuR489UI4vOah1TvqyRM8k24Ju7vVCj23FUu8B09pPPCxtTwZU8Y8ztVgu3gbsTwrxgK9i2/4PA==
+ index: 4
+ object: embedding
+ - embedding: 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
+ index: 5
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 1327
+ total_tokens: 1327
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '147'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Who is the upstart candidate in Jakarta's election known for social activism?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '147'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Who is the upstart candidate in Jakarta's election known for social activism?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '155'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What notable seismic event is Tokyo's seismic hazard preparation designed to address?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '155'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What notable seismic event is Tokyo's seismic hazard preparation designed to address?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: hlKLuTIXkDwhCu08sGXyvMJ9erq6fGw8hr+BPWGh47zgaWs86I0DPX9vJr3gJnS80EjSOf2s3LxAeh09sETtORSKiDx3cF48+tg3vTUxOLskqRu82jdtPZr1oDxcqCE94f2VvDo2Gz27tau8GVMnvd/jkDwulDE9D55mvXOsQzw89x+9htU1Orp1wTrSEb48BlXLOV33yrvdCyu9qoAnPcPyh7y6PRq8DVnuOx2S3DvNnSe9qRY0vM+LPzvRXgS7Xl6GPAAyRL3ncYY8ckXZO9z8+LyvV9C8yXD0PBHj+jwYbgQ9k8yjuz+phTv6dGi6BrXrO3uNYDxHWxG9paMPvWM717vb6ee8YkvTvPVzEL2V68+7vIvUOyp/Cr2u1iQ9m1zXvBzm5Tu7iHg8RVPQvHHdSrwh3LA8XyUNvXQX2bon2JQ7/jgWO/K/pTo2VIo8kBrrux2P7DuW/BY8mjtNu9bLKb1wXGm7cO7WPFeYBL0HuQM7qc8BPUlhITyKqr874wvJuslQRbyIhiq8ktMpPLK7Kbw7hmm8UphVO6nJqLwrRxE9snFJvO48vznPSge8UG6JO4qP47rNWDe8jhAUPFzDbbztupu8D4guvHBksTzuRZu8U84kuzjDXTxGKiw9ZsDJvIRbAzx3sZo8vEguu+SwpTyTqNW7lg2dvKHWGrtHUK05F7Nsu9h0xDxv3Em7SXsWvTFSmrwKZ/877RYLPBcRhrpaZ6a8WB+Ku2MgjTsesS28rdE9vBpvPTwu8RE9ijbDvC3rD7yOmJg8RIgUvKDLAz24+C+8RsoGO6c+77rro887ARK9PJiUFjxsM4M8rOlXvOCGhDuqUn06tgC8PJFkZTueyew7VTEiO1T8G7yX71q7hc+ZPKHihby7oW48/h8Pu/MwV7xWEmI8U6Kgu56ar7tLXBQ8bCVpu4UPmTpfFyG865axO1OPBbxG4nq5AThPvHNYLr1C2fK8Fkm8uoFJ7TsybN87s4cSvPtsDzzRw5Q8T6aiOwd+DLzNnhI8kqhGPPXoRjyAlzO80AoEuz3dwrpjpje868tlPARbMjzE1dA6u8aMPLzJkDtOuMe8MWRkPEe8PDuIdPS7KBf8u9YBSzzuk9m8IMimPD/rODxZKKW8DokAvcsFy7gCpdQ8I7VIvMjAH7p/5oa6BdqUPX9wJrtCDZC72ew2PO4k9rv7qpK8nhqGu+R5wzvP/+27ABfSu2D4VDkuBAG8vuOCPNrs/Lt39IW8kdCZu5Skhbvrm107jeUcPKc1KjyZ6WO9xQRdPIx9B7yeIai7jpYJvMqFq7sKOCC762oTvPwFDzwPCIS8F1j3vKp3P7z+YAI9jGTPvBFU07xr/s48TiC+vECyWjvcMWg8GJyuuu3PFj32DIM7n8o7u4t5JjuZJBI8TW11vGbS5bxC8p06Ocl/uzWIK7y3keq8lAf/vOF9ETwWdAE8KkShvEFNQr2Fo728rw0RPGmIhbtEij085T4UPc142bxsIEq8nuAePWm4LzzVAa07FtR2O8nU9bmtFBQ7RJzPvHtW2br1IL08Jh0XPKDO+7wK2YS7NFssu0b4/rzqxfQ7qaGquxNwMjwilMW8Onu6PKw25rzEQ/a6EaXLPLpAzzy1w009DrWHuzRUMztmi7o8ld6QvD9dHDsBN+87wy4vO+aeRzyRZdW8/LisuZfSWDzja3S3xDjxvI67H7sbsFs7OBMzvUzQmDtVV1S8LHQjvXn/+jwMea482NAaPNgKYzxcoOo8H+eMvMeqUDsUCmg8oPQovHOut7v01uA8Oj8ovGDnrzzgzXm6upYhvK05ELzFZ307OdGtO2sezbt5h5m8qqNHvGyttDxMrUc7AuD6vP4S6zyqmFi9EszYO561b7xgA427Wk0xuzkdiTx7wVG8zCtrvElPSLwmyCe8bzm2u0wjXTtexUs8UtO9NuSG+Dr2SgG8wwrsvL4S5Txbu/O8tl53PM4xuTzAyGK80KLgPNHkm7vOQSk8Re6mu72BvrzTuK28zGCwvIHp1DrXcKY8+E28OzPJgbykuVc7Dr5EvIZkETvOhhO8UlWvvIvLnTxKKu47KbEHPCP1HD2RmtI8WGV1vKmB/jyDcBC86lcQPHDt/DzQlCm8+8j6vN2+wztfZbI8g4vvvDeMLDxPS3a6e5tdvN6NPrw9zUk9CpClPH8DOrshHEC8sr5EPUZGDL02qim9m96VO20HzzxTj8e8Z6H4vG/UxLvXAfs7CgkovDBDljzRIV053KCgPG0hhLtsXOM71RBgPG8BGzwZnBY9jQAvO/OnhLzOEII89SgNPexJg7nqV668axs/PUHehrxSHM48NGgzPC3D5bxmGFS9vv2hPInxHj32TCU9nP8xO1NwYjtGr6W6ofINPNkXtzzyw4S7tXbYu4PgVTsIb+y7vjXEOlnC+bpuP6K7iHS3uR3QYrxgfcS8DzelvIBmmL3imyi8I347PRpfs7sHYVu8D3gZOzjfyDyDVRq8tfJgOm3MTjyjatY6MgBePPf9Ib2UV1I9HGcLvJMkKTzSLAw9k51ZvI7OTrs0jBg6SHWJvEKPiryKX8g8k3KePIUc5bweI0I7GNG6PMgLpTx2jVq80X0KPZ4pxzvoMow8DE6XvEc+Rb1rp5u8O2OivMTRkjzZRyq8yojyvBIrmDzBsYi8J01/vEM9kbx6+lA8NPFSPAVRnryfywe8wpVhPMJ8lLnpHdU6TOC0vCL0mLyvB8Y8AmNsvRXBkzwlgia9rk+OOqlZTjuZ+GM8QJkHPYqhGbxerlI9679wPbiy7rwuN/k7Iw2cPB/Xtjoxd7S7crgiOzExaztQUD85DdyOO1r6ZzylrFY81Y/xu3Ij8jtLicM6ahqvvKprLDw0l5Q85HJ9u+Q53zsuUZe6KfeaPGQLKD04WAQ9W90KvOUDALzbVhy9n1NlOyGAAbytC4k7A3xeO+jEPbuG6qa7mHFPvOcv1jz6W5Y7uGCPPFtaODzYRM25zwFPvGRnhDwn9gc8dkbgu0qjsDxycHK565hkPNL4szu+pLe8TJyWO2QG7jwaJe87tvs7O5hAX7y3sDK9/PafuxweIb0zWqM7UKFyO1Ari7zJX608tnM9vNWoGb2JVmG8R0YMvBsZB7uTX+U89qebPHAqjTv72wu9Vcm1u7vrDLzhFO08z0WlPARFzzvqiFO8Qk6Tu3TAJ7yw+Ly879MDPJ4XxDo2hVI78y6WuZAZ/zv11rM8D5FVvMOteTtaRsm8BLuBPBMiB73zMRm9tSYLvXfKhjwViEQ9MLsovDCNX7yuKza8Qzukux4A4rynfiG9fjTgvERRMjzPN768jUiQvM/ET73fI9k6iZkevJfhsjxkB7W8YVq6O2QSjTwqoUa8JjRgvA2GyDyTQEW760CUOk5dbzzwc3W8toQRO9IF17xBor08eDKTPLSevrsPHxU9BAEPvQ/dbLxWrmC8DL5jPA2gODz28d28tg0mPFxHX70zWDe7MyfLPBucULylbbg8OEoYvaOniTxfhwm9adipvE50/7zXK2K6C29CPBLIbrsLfgq9/Rr3vMqKnrt4LVA9TjurvP6qUTwtAOQ7W2mkPITabrvij/C8IfELvbIbOjtBfAk8YPQKO+9SjjxxeQ49j8YjPRy0mry2L7w8PyoYPDIv2TwXPPS86RRcvEDNUDxrJAc9OKmxuHpbEr0P45Y8jOFbOut+8jtedRs7M0jLu6HugjyE2xS9ajflu7Q+Ezxg1dI8tptRuxPkmztTcHo7xRRaOwDegbzWX6y8yLdAvD5eqTyI5hc91XnavAEsa7zLuHw8fhslPMomxDwtnAm8kNc5PFZrlrgHj2Q7Wa+4vEcEOrwyKba8Z4ILPK8E0btvV5C8dMRQPBw49LyMTD+8rg7DPKDvnDww2LY83D6+vJisJz12OYq7E0nUPDL9UbykwFk87wHJvHdX8zbM17C6MQG5vKEoxru4blk8QWXdvGj8BjsFnWa8/8rxPPl1gDzLBve8iZjrPKVX2DsmN7y82iJtvU0rZDwMnzc8VR2ZPOuNwTzMpII8WIGzPIv8SLqhab68AvyTPFhDS7zQ5GC82cyzvPJXBj3ZI/q8LBaAvJ7iCzythLk6bSbbOx2KaTuT9Fw78hatPEUz9DvSzba7DQbnvGO3sjxENC231tVLvF20FLwGu5q8EWOYO+w6XjtOeBo8wriKvGaujrz2OEk6Fz0WvTP68TyCcYa6I+0DvcdO87y3cwk7BjitvOQQnrx0mh497omXu0tMZ7yv5Ai8dtY8vCAVbDxuojw984wRPBAMQDxUyKs8TI84uwpl2byOyOK7IL3SPPkmG7zOBxe6NOGEPBgaOrt31we7O+aBPP59xLrmWS48racRu2ABCz1UvKm7Y4N2vP4rSrzNVnE86TUXvIcRmjw3Q8m7HjYPvJqPljcvyiQ8eYS7uivXIDz6qk68czyWvNH7oTyxTK86nKOcvNF9wby8tIe85LaCuiHnbjwayy68NYPPvG3vPLwsRQe8zL8guj9iyTz+vga8u1KtPE0qADylmVY9OAScPH1goDtGdIg76sR3PPhblzpfBxm8IHlyu4usmjsUWW48wLWQvBby97w7lxg7l+C7vOhlRjzPr7a7YdRNvbF4cDkai647tHeIPK1OizzGTR+8oOFtvDAt6bua7JA72enXPK2I/ztPpW27zhCJPO03ILxgkmi7ozliPYmmtDyDbd666pOSu+Dgjj0vS3g8yjyrPH0RNTyoS4c8IJexvADNpLxm9wc7FAH2POHperxKjN08O/rhu0K5lzognMm7f5/aPBzvPjw/KNS7nvyCvHe0Gz3eUxQ9vzsQPMjS2rykxR28sgAxvTEK2joaLQA8PHMVvIQOpbz01J286tSlu4LMNryD5io8r+lhvRw73TwIlyg980W9vJhRDT0I47e8em/5vOX8hzxazsU8OGwEvZSQjr1M1Gg8pYdovD1orTvcDX+88oqgPJigq7x+EuW8OI1ku2vJyzwqTRQ7rv6dPO4KlL0zutk5pHRfPNmscT3d2KU6HS70PAsNn7wYCyc8+CCVPAM+lzlm0Oi7vwNUvK6usrvMqga9z5pkuFZjDbuDV068XjaIO7nikbuGlgi8D5jNvDDIPzwQ4Va7wtxBPAqPzLyS6dy8OzeUPEKFZT02DOE7dHiovAhqozynKjQ8KvlvPNpf17oAGQa9zlUBPTDSozxVFQ289qpFPR3BZjxyagm9S9rCPGKQHjylavU6G5SLPBaby7z2Zwq7xPK+vCYlA7y9jZa7YPT4vMFjLDz/fis8vQaePA54Jjyi9Hs8N576ugalDry2/4u7dfzoOHUiMzvckOk6Z2uMuy3TqTs/+hc7+SELPOZ/1bzW4zu8Wvadu28xlrzM9dU8R8NuuwOIpDuWElG7dehAvO3mOryU5hU8kw7hODyrQr3BT6s8CemcvJ+hZDuaVN+8B6NNOoXScDzgYNi8KzR7OS+uf7z0LaE8ZfO1PJn19jzlUMG8z1byPCXF3Tp9X0u8B+4LO1zSnTqUZ688RpZWPdnwGT34IHG8EZjgOBXj3LsA4bi8PC2rvCBru7tPBP06czY1vAFcz7zluc07hveqvBZ1xzxO+BC8KdXpuyKuYTx93k09bcOevBtr2rqMIwy94wdgPAFhrzpeG/w6gOSXPPymyjwe2zM7cmXDPKB6hDwRagu8HBSxO8eR5rwQv4q8Q1fbuRbQ/ztPzCa8RoMauyv+YDz7qbk6Z67eO8f6kzzF9pe8QN2qvCpnHDwBoTS9hZfru6xiFLx+2jK99+e8PLlAEzvWbiK8JRAcPNeZlDysxCY82HxPvW8D2Lz6QDo9RikuvMllerxIh0k8oi14vKeduzwpyU288KiiOzBalDydj8C7AWgHvVV357zLpOe7JyBOPSDdzDw+L527gvatO+ualjyJnYe7O4yzuhUYnbus6qs8sdkBPMhc3ztbBKK8wxS6vDZkKzux3Bm8wVA+vPalsLyMxHk8oyiQvHi4Wzx/Tq07mDwPu7JrFTxvhAS6A8c8O2MKmDvanbu6BHARPFTzlzyaJMO7KJ5PvMoNvLx+ER49Sawlu4UmhTvVPSa8lGspvDK94bwRvbY8vLgEvW6UDT02Xic8Y3JaPNu6kbyXOJe8UoaRPDxiuzxB6488eJrNPHngiDtZZXY8hv9FPKZDcLtz09g8UOIfPO8pWjweZBU9f528Ok4APrsjmrE792cvPbmYUrzBjFo8AdDrvJ0q77xIVJ88G5K9u3yDfzwJfqw8gPTdPLo7ED0jt0w8ac+rO2JIqzwOYpO8FqiBPJmIvbtLD9K8BljJu7Mhkzz3Pho9B0znvNYG0byLSbM8tFB+vBQpED2Dbp08pO7Sus3+1ryw6b87WXoCvCmdhLza+bm7pjsVO4q8drtOdA28w7QzPN0VIL3Uhyc8RWB1PEhb5jyz8+y7zcAhPDkUJDzWOXw7KYFSu5BjD7tv/em88DyQuW0AdD13V2A57HfOul7n+DzjKtK5VoX3O7MXMruq4hS8KxTbOwtkAb1amoa84LhPuzJS8zvk2AK9RHP0OwsW7Lz6Q5I6DInZPGHZ5bymDt285NsuPLLSmTzhGvm7Y8sWvBfFyLxmAFY7Cy7AuxEQ5jx7kmc9IeUOvCWerjtcrA67SDlovDFR4TvJ1jW5vccjPQ+LiLxlK+e8uOcyO0S+uLuBz+87mrgKvDFOHj0QyIQ8E8byvAyPFLu/azg8h6sfPDUHaDxMFI88UmObPKgvSzocqbG8OHPDO+oELjzu8208/I5gPL2O3Tw5pUc8I9aBPITPorzFeOW6hPhpvMpYOLz/zc481aY1vA9iqjx7zEA8egybPP1RI7t+yN283miRPIbyWrx/NCi9EBOzvB7K6DuNbHa75uJUvIXMILwBgQm80eyCPCbSnbzokMo8d92aO6KYAr2VJwE7546qPKYoAzxgLtK8nJC+PAmLNj2q8cE8k6fUO9D8ujz3dMA8+lwtPMx5Cr2ifY28L+UzPFnS5DuqW1K9gs1evCx+trulK8S79amEu6dCgDp9RUy7C9UivMGm/zsKwZ68BCkvvb3y1LynSpC7GHN/u1ND/LwlTJ47dra0PP1Qkzsqkpe8WXcCvJ99RjxCySW8vp2HPDyDY7y2AkE7UzmavOWjorz92Fi6kbeWOo8w/LvHAM28E3ZHOph68bvgkVM8qQWhu4HoqLwrZMY810KPvJhf1rwvHkS8uGSTOyLMjTxc6oC8ENd8vLXf8DwXBW48UQ/sO6f7obtZJ8q8/oXwO+UBcz29OwW8/B8qvE0idDycAUE88HZxPOWasrsHYvK7CwPqPP7c0Twsf8Q8D1S4u0Nn1zuSu3K8ap+7vDI2EbxIBj88qU6VvE5w8jztnhq8IyYPvfXQNruTfZ47lx5BPcV+CbyWMNo7EmtmvMmsjrrT7z+83tXCvFTYLDxX/JK8dpqYPJn8HDsIz7M7WHqqvIlrx7ySFPw8HaEUvCfy5rwh7ns6W3Q+vSVNXjyGYbe8V/FEPLyQkTjQEb68RSwPvF1qyLzIocW8ilU5PKbtH72czuc8eVj1Otu12TtkTrM89mIbvN1GLDyh+au8rFxivIyAEz2Imge8nf9bvXhC0TxqZJi8vRjgvMlUezv7mre8z1S/vBYBzDx+h4E8hyPVPCCu6DwO6NE7IbndO22Vjby2mfA8Ik8LO/uwH7zNRvC7cJEyPB2d8buBoxK7oMdaO8ePG72jSUQ8Hct+PNBwLrvXT/272ZzJPLDZmbsU3YI8LmZPvG46orsG2wg76kGTu1ZaObzSwNe7YHuXumhjGzuEVXO8/qXBPDkHIr1dW6a8X6hXurvB5Dq59Gw8bFICvWSrjTxvutk7/CzXPCnAHDw1fSy7MJ+AO4ZKDzun0xk96MgQPB576jxcfi68VvbvugyO37sdEc+870QOuyx5h7xrhpM7ahe2u/mxmzt9ZFK538uNPAkNALwhFJO68N1jvFzvkzwtRF68+adguoGJIjxD0SQ9w5C1OyeXGTxwyIi8sy3PPN91qDr3SfO8/5Jyu901ejxKBik8rNuOPKh4ljs4jcu8dHLZPDjbhztdfDg7JCL4u76Y9LuzWw88xH0bva+K9bxxECi671AwOtfMkTzgyJs6UTR1PDoYtrw/lC68BxBYPOls9rveHW08tb14O501FryknYI7dU0UPRWkFbzqZF67YtELu1sGCjy4y8w71CZeO0xX+bvvBTc8q6kfPNQ9MDwkCtq6l6BqPOohlrtt9Qe9sp0kvTr2BzzzmvS7WBvyvLnxDT3plTg8m3ivPBcLobzQXHm5kiUavNwwgbsdxIa8qJ2zvKmeKbuDJ2g7YgewuxkS9jtJWzS6EzUQO8g9nryC7ao8aAwuO1DNBj3JyZ07cUmwPJI74bwtdhg8mAsNvXbyrTyqch47zgYHvWK8Jb2MO1Q8/7nrO8u51rwH6ac8t/kBPBmCh7yOCe6724sBuy4DF70DSrm6x+xYvFUN9TtMsVu70RhEPbhWobxGDhc8yI7qPP+CBr1oRzK886b5PLwpyzvDSYC8gwsBPAKPjjtkkLy7RQpiPCC50DwyNZ08yIdZPCUbLjxGxMY63RMlvGrOOLslQDg6KIQxPEofMzuHIYS8/DvPPPewFT2xgyw8HYRKvcuIrzwmsOA8YA0+vHWhwbtMZ/+8AqKgvcuE1DtP0Dw7UqLTvHV8tbybPha7DhoRPLzp5LzL5gs9FP6BPOV6OjzfBxI89N16uuQxabtwrC69seKJO0ruYzysEZa8lqoLPGQuVjsEoqA3deAUvMdNBrmu3ea86jiAPFbpbzzaWe+7Z1Y8PDlwNju1NLG76vd9vDf/GzzH4Jc7JekHPYtujDwlzOC8fzGkOpxjCrxPl548mU7LvKQgsrsmugs9Fl4mPAUu0TyR1Jk87dMjO8NuE71io2i7YZlUPBVqBr15yZ88YX+VvKEI4ryLjds8+c0HvXwx8Lx7SiG9z6ufvGrbYjti9x48btutvA/il7wZpbg8DaMWvZmAtDpXYvQ80vLivIFAqzs1BiG9av2VPO1P/zxjoi28tRe8OwwoULyMpQO9HiVBPQDcHL25HvO8H+UMvLwGm7zKnrc85XGevLLIFD1HSte7fwFyvF94fTpi1eo8jqEHvDbf7byj4UE8nXfvuy9OxLxrux48D4pIPHzVNbwhBzi8OKUFPYQozjvO5uw8wR0HvLNaszzuCIU7xBazPB2P8Lphyie8oYefPN2hsTv0tc88BrHBPEhCbLrspZg7Jc2Cuw7hzDyzDcK7bCuDvNMXhjxUhrQ7OdWBuz45ajtBgik9wIxmPOBDVLyUCTY8mlHAPKe8S7zJe6C8Y0BgvLGPXjwcJVM8TFhLO6hzhDzygR49PSiPvDerFroI6LE7zLw8vJtKkryTVMg8NQY/vMpo9rw/xrK6iwB8vMuVRDz/fdq7DiMCPU5YlDwgcIg8qJBPvHziiDsDgrA812zpO2GmmryscPG7btwnPOYvoDt0wkY79kd+u6NGyrz5e2C7oVSAuqhrvLqQBlO80N8CO/gFTTzKZJi8MnG4O5no+zvWU847UzzmO1aRQDx+XK48FFiLPGczsrx1sxo4t13ovKxeYTr8Iu48JoAlPZ5A1zpuaS08npgMvDszAD2AyRI7720HvVKx97vISBA9WMENPSxkarzQ6sa7GwekvAOKb7x19xs8lAOvvHnx07y5SSy8ARDoPDzm9jwcuca8i5ZpPEeciTlhzS8998DMvAuzgbybJs+7eXaTvAhbBzuZEem8CiLiPCOxE7xXpPI7UksfOxOnljxsZBY9fI2vuxV4Hr3PpNU8royruz59gLkmY8u6tmYGvW8eJD3aWM87EX/VvAVZCL0zWwm87Bw6u6GfgDyxXmW8bCQwPN+1D70R1s082DsmuiQg8buKE/c7m13bPA/DWrwZ9iA8Y4O0O4Zw3ryA7Rk7dAE5vAW05Durb6C8b+QgvPD1Ljr9m6m7hxMxO7mmvDwHtj08EUozupjdSjw52HE8/iPuPCrdnLxY4ZQ8I+76OxIHKjx2GAU9ZrhaPT5IqrsrFxa8yDtSPDK0QT03uVS8Krfiu//HDz0i1xA8/zqUu8KeoTxu0lw8I+vaPHPAoLxRUH28xB5+uzT8AbxHNCw8wNIMvD/Smrwkd8e7M4ThvLf//7xy1Wg84RE8u3uSkryOqqC7RtYGPLx+jrv3KwI7GJlgvHbrRzxEUhg8cOGZO7EKGT3QFvU80I74uP+PQz3O0oQ8rbfNu0GXIrv+78q8JUEYPawkBzwy5CS81eqLvCxllbwQbgq7RHLmu3hpXDp1Zy68JVZQO6FmxbwISqY8N3UIPaqThTsxjLi7uihnvCLddzxvku08JCUwPB5yBz1yguK8SU7qO1v7uLxpqdi8jjKkPFXnGjnpttG8LhgrvHNm3rtD5ZO79TkFvP9LITwIbIY8Cib+vF0Zcjk3Dxc8AHHmPD6/Jz1l4xy85ZUTvAtDibv1d388NThZPBnpNDz5pWg8qUXWvP7/zbsamdI7VJLovDPK0DuAbcS8l8M9Pd1TPrul1fS7IegWu8qSezwfOLi8fEGEPbLp5LwJgRO8iASJPB3M7buWexK9ssn4vNNiqjxJJRs8simHO1cjZzyP2Mw8id5MPCgc6bpmQ4G7feOouxYeTLtsz548Rn+0vEkQ67wvji88RNAFO7eBHDwa3EI8jR9Yu+rf3DvhrzW7OCyjvAHaurzwBAQ9mqCOu1KSyzuYrvu86ELNvEKEiDssAW+7Xl8dvI5Nwbxl3AQ9I9MJPZYOJDyb0pq7NqeiPP0rpLw0cqc7pWcOvEJsFTxBJAk8geMKPRoSiLzpKyC8vfIWPFNJCjyT40K7WetYvFZWY7zRkXc8A5FJOyCsATrmcoI56jNUvPoeCjziv9a8zrOBO1q1rTxa3wK81lE9PBmgArwoH8q8pnp7vDZ39zwMNwY9J5qJO5se0jzrxzE72DL+PDxUAzvidhm9Y3cBPUjCRryeJYc8mwc2PEVyDrxwx/u7F86KvPCyH71EphG9TXOHPC1e87sIlzk8ZbYtu+Q3jLp4gCi8b6ozvNHVwzoJ2Ts7rMKhO7XEUbwdv885bL4bPOmMkzpLENw80+1ePG/ExLwgRDA8fEVOPOg1Pzy+UHm70w4OPLRAwzzttSm8DJtzPCd98TxEBMe8MQHhvC7/1jpYlIO8+zp8O5lpzLuh2Uk7X6phOjiLRzzzwpy69sv9PLYdB7wbJRC8Mhogu6VFIzzy6IO8z2vNuyXoQ7swOrM7JAeCPLjnVLugije8z5oyPO1v6by7M4A8Q4mcuQim+7slvyI9K4/BPCO/pLx56Z08wxJkvD48AjtF5aw8Pw42PFbrrruu9ri8UGvmPBY+irwttPu6HDagPP/3jjmrDbi8h9UQPKh4srxRuks8tdYiPH2+vTxkIaw8AHUqPWQpK7sJHtu84wDKPETHbbylyuC7RubBOd2DQ7woMaI7GnttO0kd2Dz59IA7tMAEvKnAbrykCsa6dw1Au8pHdrprgS+8vSMevC+VEr09G3S6s714u+YZ4bx2ExY8c9dGPUCxVDxOM+u7v8oTvCT7k7tc8om7n9KXPMZ1FDzbvqY8hdQLPZqg3rsmis87DdmauixVJ7y/ARY8iQ63PHLX7jtUvbo8J2q0vP+g9zsYwsA8U3J7vHIY6rqK+Rk9oqSTvPmtVLsO4Sq9apLwPFIc9bwlQLM8wPAqvBGRY7wHl0w82+Oau008r7sliPK8MZ3LPI1tBr3F5EG8zdEUvZdPWby1epI8NwEuvPDmDDw6Wqg8YnmDvM3Yj7tq64Y8R+2uPMs1Hb1ccmY7TD6DPEjM1zv8qzE8VIgqPLJpzDx2RLE7J+SjO7wnpTz6nwC8x46mPEkmojxNXQA9RO58PFjUnbzWX3y2mP4DPZIck7wZWZ28Nwe+O0tWX7zFiRm9aDOovC+0zjyL34y8XDiXPAqgYzxexVQ8Y86PvNPe4rxOHGE7WWRgvRqfvTu3jZ88MeC1vEU0k7yYva88RgZuPE08vrsj0VU8aDX8vKnJ4jwn/iI8tR8QvX+XG70K5Re9l+X3u8X/urtg77k7vd+uvF7hoLwFs0I685dVPKwlKT2qUYG8Jb1juc12sjvNwOq7Qx65vH12iLqkEj08I+XVOvXcJTwl3q+82Z65uSqqcTvq7ya6tidjPFv3lDohgZE8W+/au1IGIr3Jyyc9gzZOvFA84rzTb0w7FUenvB5qpTz4bdw70kKHvKH807uPGJC8iUPSPOqU2zyi3pO8GeXzu6dA77wHRD89eX7YOs7oYjs172k8nGN3O9U0AL3T6pc8qC7WvIIk1Lue9RQ8tPXYvO8NPr0VFYC85zUKvPAslTy8EE28KDTWuxGLh7xG8cu8J6iIO78vEz1+O+Y7NVdRvFkDIzyJqgO9/OqxPLG8u7tQ0Bo8W+mjPOEi3zxJ/EQ8K65FPATpwzxYbEY8N/sEPBehnDsweI+8SRk6PRuJkTy7uq+8NumNvODtczybUBY7t7/5vDJPijras/Y8PfqFvFltWjt+hxK8LbiXPC9SHzw1ZHK7elCBPDv8pjyEhuw8ycaWOyhlX7yH65u8KCEiPeXZD708V7W62kUPPLdO2rsf2zy9tBMLPRBzdbzCRKC69PxWO4mlAz0VFzU9to4aPMF5q7y2A1w7eOwLvOrOA71rbEO8kS4VvbWRML1YQ/C8gssmuwXiMzzwPge93jEiu/ez3zwZ8pE85cfJPGSfPjyv/1a8YZfMu7s/Ujyslgo74NgrvIwmfbz0kCu8sa25vDjxiLy+rRE9B9amvCL6lbuHaSa76reIPFkBArxrrcS6e2W2vOmsNTy+M9+7FVq2PCnKcLrxE9I7+PNzPK4/l7z0hTM8ZIVnvLXMyTz/D7c8T5nzu1/4lLy0Iwg8+xu3vHHVP7zLT1K7eArePB1U6Dx5coq7YWIhOyvejjwY0ea7fa6hO0TxcTzEhM076kwXOvF+KjwJKYe7XYBbPfquarydjo48DaA9vIu0MzwRaXw88sMKPMp9ATwE9Es8tPSiOyASNTtViYa8+yytO4i0izy64ym8GEyNO/Zt4bsaxta7rD5vPLjHyrspRLW7udpOOzYPfjzRDN085iY8vIt9m7yALMe835+qu6FsobyRk8k8dI4RvPInyLlFMdm87k0qvMbWhrx0Azg8R50QPXok6zsTvkM8HSqTu51gY7s8boW8TN8Iu5Xz2bkqT+i6B9skvT5trztacAU8P/sxPW8CYDoepTE8B8iOvLPnnrx2Zr264K27vDJ75ry1jZE7dt5vPMPmH71gEko8kX2iO+RPbDwMgwu89ZF4PAtdwzxBOPW8+OrBO4JOpDqBEq07Ve7MunooeDza4DG8nlf0PG+xjDtVs208WDQAvaBhjzwLUPA7DaWRu/RkeTsqdrq6S2q3PL8mVz3StVI8/kfkubst37z5AIU78R4YPMP7Cz2+bBW8+ZqgvC7HqDylVIW81TwQPBCGcTyT5tO7RHVOPE4ADTvTlcw8JA2HPD3flLwFznS5rT4CPD5+ajxZOQi8xGPAPLbUbTwVMLs8R7QXO/x7Gz3lwVA8D8AHOYzTjTwGiXM8bQBpvCguPju7UDA8qA3fPA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '140'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What date did Port Moresby host its inaugural city-wide tsunami drill?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '140'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What date did Port Moresby host its inaugural city-wide tsunami drill?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '137'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What was the peak wind speed of Cyclone Aasman when it hit Karachi?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 18
+ total_tokens: 18
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '137'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What was the peak wind speed of Cyclone Aasman when it hit Karachi?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 18
+ total_tokens: 18
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '176'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What were the primary conditions that led to the rapid spread of wildfire in Manila on September 15, 2023?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 28
+ total_tokens: 28
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '176'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What were the primary conditions that led to the rapid spread of wildfire in Manila on September 15, 2023?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 28
+ total_tokens: 28
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '158'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What time did tornadoes start touching down in Kiev according to the eyewitness account?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 17
+ total_tokens: 17
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '158'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What time did tornadoes start touching down in Kiev according to the eyewitness account?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 17
+ total_tokens: 17
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '150'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What was the cause of the unexpected tsunami that struck Mumbai's western coast?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: lenkucmJIj3z8Bo88r3sOv6y87qMK289dauTPPs9AD2v7gA8FMfCu3U5sLxEjtQ8OLrqOgrouLwgFS49aMM5PQx/DLw4swq9nQbCu9/CZLuE6oG8EetNPaTLvTnD3o28/i/UPED9SD3hWMC8fx9PvdpAXjyua668dsOoveGRxDuEYY+7uUBMvCK1cTtZd228ResqvCZF+ru5iOm8tnpoPHxn8zytUaO8hmW/Ox/Hlbm8hIG9rXaCvMlG1ruqoq68quHGPE1NJL2avYw8tVx4PPUp/bz/teu8AE7zPJ6UgbxBCcK8KMUQuk159bwLvQk8knghPFe4M7tT8im9loLtvN5fkbuljcG8QszuvG3xHb1ZnDi62UO8O//jc7z6a/C8Sjmbu5Yahbvj6SM9jsfdvF4RfbzjKMA8BNdBPIn9PbrEEh06qUlhPLM5iDxOWVq8/hEcPLcyjzw4byG8B26LPFpGF73+W/q8DaJJPHKeQLxgW1o8UwNVPQNEzjv0DiE8DWcbO81mlrwZTIO81PlqPPFqlryj+4o8MOk0vBDfijtKydw6yxndvGti0rwYHog7V9DXO0n9hDyp49k7FjeBPH47YrzqvSQ8A7YEvdfUrzzxZfS801f5PL1cGzy4BWM8cRuFvOfbLLtvAOk6i7J8up+zMzv6xk0792kpPNuOyLuyBSY9Z6CbOl7cr7vW31S8hWAFvdj/oLwBxNS85Ya5O7dgo7xz+km89MZZu5G4j7zeLkG8QXzivMmP1Dx6XQc8upIIvBREgryHKHg8Xju4u7elNjwKd7y73cI0u98pKrwt5Lg70QQMPcE3BLz4IG48WnK0ux3OyDz5w7G7WqapPEhRiTw3TJY8XVM7PeYwrzwukno8TvSoORMreL0Q98s8jlMrvLV6V71Tw5I8kleYu6Psj7spZHO87JBBvOVPjjwtmaG8hb0wvWOU0rvSd6o88jP5vM+L3LzVRL27BHedu+S1eDp39lW8fXa2u1uGA7yPujC7oPifOyvxGLwU79M7vEspOsPlDjsto/k6ZMNWvIm+BLwWpuW8LjxcPFUbFbtkgpI8uRilufiTJT3NbXg6wlkNvG4tz7unrqS7echPvM67mDu79wm8c5SFPAJshDwuBlK8+2tCuxccaTrZnZM8AxtQvKqlRDqmxD08GcNGPaZhsLqm0Qi8tBHsu8zANLxjSuy8rIFMuEjkEDwpbUQ87ArLvAZ3JDvhyIi8bSvuO4KwJ7yq+Oi6VmILPMbflrxQQ4m7lF5Bu3kFoTx5RZi9R8ycPE+Qx7ytgpk84iSMO+8uzLnZtW28iFkqvEFyBDyiBSK8I+pGvBbk7Duv+JM8r2aAvFtxFryrOeg8ZZPduyGp3Ts/q588fQ1NvLN1AD37QQM7Ud1ePAbMgrsyzFu7ywSXvOxLhbyvMjO7w0oZvOXdarzmQP+8wNvPvPY7bbyP2lm8ZkK+u7CIjrlb1Qu9nlDrOjSKmTxQApy7CGpLPA1mIr3XgfI5/WsRPJ3yxrvxXoW889P+O84P9TwwJka8P7RDvVfyqTsDsqQ8oazJO8+C07skFf+7nAoFvV4pDjytPXk7zGzROwDcK7xBRgq8LNk9PKkbqrw8dIC7EbsmOwgmqjw2ZIU8xW4RvHvagzyzlsu8Amm2PBEDhbxVvKK7r+3IPClBTjx5x7o8tO4IvQHtWrx6r6g7M21UvYXS2jx4apy6OgNyvYCNIDyZt5u6h6mOOg7Bczyf5e48DcpyPJaWTj07k2Y9hk5UvKZ+uDy1yxy8iK1JvFxbzzsD7RG8bRqcvJLo1Dn+Huc7PNLSOyPZrLzINZO8gWu/PJ+lIb3TkQ+8kkdDuwfO/TvguBk8Gwj7vPCqLDwLIq68nNsZOnFHCrvyhTE7j4SRPGhrPD1nVhW9YrjkO16BkjxFCuE83CJEOz0FbztJ4Ug8v7lnO6PzCLxkwVI6MoSgONIj6zz0HZK8cHyDvJj5jDslWka8oi46PSNrkrwYspI8cD35u0RhC7136RS8vqCbvOC3ULtDBKI7RlLsvPMbM7yqRBo8XTyCvG+7uDwuza67miOQvMjF9rspYVG8xPUCvPs32LuqctU8OgqVu0ErUrzhLLm7k58ePKmrODz5FZi8TCDuu+8XYTy2OQU7s5b8Otojhjx0nKS8aWfTu1AGmruVB3U9fVYcPTuWgTx+U1Y7pDi9PPidm7wdx3k8wi+PO679+jsejMW8B2m5vD3fdjw7KEk83HhaOlYrWTzH72U8F9MSvA9HbDwCHQo74E+rPF85rDxlPso8FVD4vDqqv7wMyIY8h/gIPabSJz3fXCy8tJYOPU5bRDyNUuE7GFaNvCXi/rzaSOq8KUmFtl34gzznG2s7aoFVvNVNkbxleDE7ux/YPEXkcLw4XLs7Ooflu5skCj3KS1a6ysCYO8XMPDy7IH+72cKZPEmLArjHLOa7O0bBvIVqZL073Bg8QLpNPQmLHbvCcJg8ZMI8uO8u6Llwphg8BuiLPOzbz7xsV1k6gK6KO+GTxbt+pE88x+OkvFc9JDy+in88Sz8DvOQoWDyDfJk6Y671upXLDrwfNHk8COAbPcMd27xN6Q48jYsxPSKvxjxSktG7BeyHPd+AC7z0EQC9CItIvIQS6DoDggG8mGJlPDxuNrwl7KA7FBWuO3fW0TxMudI845XGPN2JybvkmM88eTBEO5KMpLtdBTG8733ZO5WKmzwes8c8gG4yu8Z/4DthKQs8eK82vdqg47sTOr+86DeeO5JxArzHSiY7YbaSPIKBZzy1OMU8FCMnPVxFqbwPt5g6lU1lPLmq6jqCCgW8e5DQvKQugDwyeCq9mm98PG6bVDvfxl88WbeivOL2uzwH4GC7uqKIPKyTWLoyI0O8s8qhvJvqKL2fozi7gkOCvN7kKjtg3K08gfkiPNX2YD1FNDc8TzDXPH7vdjqo1Zy82ponPEV1E72DAdi8AoNdPQp9T7vRjZw7cz45uVlclzspNcE7H2Y7vc1sBD3DkW08JrKOPALi2TwP6/C862tKun2VbTtPXpC8KpLsO5qdUzpl2UY7ZoUjO630jTxyASS9AalZvGG4MjsWTog8KPaQPJbxlbzwVcU8VTPHvFAs8LzX3js8JmC8vFPusjyBr+K6j+jQvIRsurxCBw29suFKPBVAS7xGFaw8SY9PPLErk7yN+xE8JEwsvQLiyLxYt/669CkEPHXwlLy8awu8xsFmvFcRqLyuobO8qlAIu9AblLyrYgq9T4AMPU7BDDyzKTq8914xu1ONHD03t5487NlBvBg6zryASuE88OohPJcNKjyzgVu8KEbHvB82/LzI6LS8qhErPLQvQL2B2A69gpj2O8UzsDvY+IG8lRx8u+nGxjw60yE7miT9O+FmfLt1SNu73gkCvcVlwDyhe/i80Ge6vGlzhLsxIGs80FS3PC1BG71ifKO7CInHvCyXWb3NFI88JxUdvRKcmzyk6XK7REkRPXme87yKHT+6+ivpPHS1Q7yofZA8Oh04vVwj+bvXu907nc+0O77v7LyUhiE7advDOwhsWr3FSSq9fQE6vVG9KL3qelA8tjqoPM1u2rxtR0Y78vAnPJ+lobpm9he8pZimvCmtMDsMA7g83pRaPOEXJLxjR+w84rcDPAAEHzzjJVi8av0HPCyZNzxNOvG7atVIPEbGXTwXUYQ8Dja8vCqmHb3oW3M8pzE/PJkD8jruYzI8Jc16O9P4ijwZ2xy8DxywvG6Y6ruHQYo8SsCIvF/M8DqZi8W8VrurO23ZkDxNfYk7fQ6LOwyqfjxCn1W7mkkFvf4Rwzx3Kp68ustNvMObIDvXxvO8xGctvAiJDTzismM74WQePVl6PTt2ZlC9g8xUPMENg7vH65s82hQ7PM2wWbwXoAC9eNxDO6N3Izz47pe8178+vMFx6jwxEbU8LWX8PEsJjDucpQg7ktmwPDuuYzttijm9j3oDPNHIEj2qZ7882nMIvHd8pjympLi8Rc71Ouwag7rVSOC8Z+O5vNW8jrx0Fr28+1N8vZ6eEDziT+U7Q3qLPJpGyDxfpGq8v5TlPK4JGTzmIWa8IspevNM2RrxVoAa96UYUvYz0TzwX8p28H7i1vIIk4zy1kQw87fgFu/GQUzy3Mg09IgrLOo4P1DyQcMg7zdUIvSCLBz39clQ7sjBfuyDdXTwuob+87fNdPE2AOTqNr3o78MUOPMJNWLwLbVo8bNnbvIkWCT3GNAc9WifTOvNhEz0TBRy8YM8AvR7wUjzUC4w8G4CQOiTZs7wmeja88DBZvOsYjLscNAA9lkGjPGSO9DkHRRo9RtoNPA47i7yX2VC8x3jaPJmuK73KytS8r8IJPKxFkTzh0No7aHSFPDjJPbkEhAU9GG/WO4oaUj0ZxgM9ZLLpvK4h1Lo37wg9ZBaIvJHGvjwcc6G8k25pPPvUBT0sBRI9fhqhu/noOzySia67/4JQvd6yw7xl6Ve8qFh9vLILSrtOLXk8qSyUPNqcKDt7ITO6g7dUOxYj3Tu+rw28XylVO4QHDzy9a7O7S6l4u+LnrjuH4y497Wuuu1mK2jzxkHo8Yu0CPThcHTzwVIk8SQQcPGYDArz26hw9h201vKSshLwrxuE7NumEPGt4NTzbUJq83N/QvA6uoTx2r8W8++N0Pa4tjjzHDu87lmUPPKJvmDyhvm05KZrNu1c+vrmPqYM8X1tkPJJiA7y2/j28af0BPWUvWjw4Sxy9eU/4O52PijzXVR88E0iqPFPEiLygXpk8xUC7u+S6fboHJ0M81zsyPeweMjz1BSm7Z8cPPBaMhzyHyAu9D/ZbvPqvOT0TOoU7xmICvfdmtzuuT+M8GC4OPVYBSrw8pbs5YDAlPJDKbbuam/W8rE94vIbpEDx8Mzi7EBfzvFz+W7w0zWQ96smyvCuk2LvT/Tk9D8yQPK6XtrzpVei7ZEaXPDE3/juZ0Yw81CoBO2OtZ70SrDi7+zs1vK/+vzsOAiq96ZLzuiXb9rx96xE8+F9LvB+wUTxQMYK8SLvEvBeqR73Xo5c8ScOnvKsXHz17Ecc8Ysx/PHrdWTxuDJg8xq8APa1OUjzmtOS7WXcjvA6DTLweeAU8mmUbvBWp37yIztU79gKEPIijATwKsHc8E2bFvOHutzzmIa48oUeBvB4jKbsWBl66XlMgu3WhrDwVtrY8OSbbvM83jbwbkIg8SlMevBFKMDvEWi68YFLoPGVCFzvXCgs8M1wQPB16Ozyl7a28uln9PM7o3Lwcjc88o2tJOw6OBr2smGu8vXzavCRpGjwxo0e8DQKdvJ3ifjz8Z+a8ik+nPHrTh7yCC848MW+3POI2gruTiMm8XoLfujBkcrxs0MY7IgqJPBD5QbzrRLW8//mXu9KoxDyK+6M86g4HvcCiqryZsrg7CPNNPF07Y7u6U8i8ccCuvPNLobwQCJs8hII7PC3IHbyMEO47IBfvvPAwprsiAGm8cMEKPVIiOLzrqEu8iupwvG86xLxN8JY8g2AwPOH+SzpT17G8Sg/+O8HiiTvXmfA6dbWbvBDW47pUPi48qhm9PIwVmjzE7Rq864f7vADSsrwvHCa9Prasu7nN5zxUTH8815+FPJT5ezy04by78qXluymXJDw8TiC8vBQbvMMuRryjgfa7uMusOJp3RrxKVdW7Cl63OlN6MTzM79G8xBKqvFQkKrxrLJe87OOePOmMrDvSok05wB3wuzZhXLvTzW69iVGOPGejjrwXpKM7DwwQvNh7nLs6vIY6KQkEvQyvwrtzPBO966hDvcsKPjw62Mq8e5LEOvVIibsbo6q8bT90Pf/D3jpoyeu8aCzNPKvLQDyIrUc7qTvNvIcMCLxNWDo8WlW+utUCfjwqKo68iBhbPLpO67tIy5w8hnGwOrBmpToUY548SLPJvA8tnLyA8+K8kAo8Pf11WTyxMBk8hNSEO1yTAz3UzZY7FLvzOntlDDtTDCi8DjkpPWfTeTzthSe8Ik9uuliJAzxMFiA8enLNvPtBijzcFEw8a4WaO7twUTxwf2q8fT0bvAlCCD3tnSK78QgZPKJU+jodOcC8ec1HPKxTizwpyoK7dDKSuxcSPjwowqW85lMfu0NJzzsmypM8IedbPHD9yLwxUEw9/8JGvF6mQz3t+pM89NIhu5y8v7wf9I+815KMPCPfLjxGaFM8lxMuPZI2nTuyDY48hQepujiRgjxVloA8C+jxvLPO0zsdP+48mMJZvL4IPjoOKdi88hVbPKB4Jzs/5Sy8LIOOvPg9Ar1u7KY7SKpRvaosjzwa1/48JUaNupw4hjy1p7S7oiqfvMv6Qzw14ka9rbgFPM/FlLz1WeK8tsfsO7+ZHDwTtLo67gS8vJ4YvzuELhc9xLGovNJLZDxUKm48uGiPPOl19rt1mwo8N895vPf00DwlAxe91cPCu4fROjs49Ju8hlgUu/RjjrxSGXU8LaljO5Eh0Dy+f7K6TFcQPQeA1zz0pKW8XyLdu2WSjro9a5a8noEquI18ZDzbS+u88mwrPUQXVjykzpG7VxD4PG6OJrvmEBy9Rmi9vHadYL0AQQG9D3BKvF1bhzzmSF+8h/SIvNjQs7zSpKY7IUpaPPjxRLy05dK7bIwtuifyIDyn3xO8xjfHO2Mhsrt/wgo874yMvLiUKjzNGFg9Mv2AujXZWzzUsxq8C1aIu0AmijvEuwC8NguVvGWA07wQk2m8jurpuhzYG7rJa8A8K4jNvGqmHjvHCpQ8re7OOzWCzLuaSqe8oFQevfVZi7yeZVS81B1LOxb+B7xTBz071TxgPD1tKT3BR9I807uYvNBl5Dy9icy76GPKOAdHvLxZX2q8qvOtvIZPKLxhXhS6wP92vCRH8TwhVSq7Ie9lu3VzNLzCLxK955ZvPNXGZDywS/a76nG/vDJxDjsciYg7BG1RvMYPs7xqZeu8sKY1PbZUOzxygoI7ucLwvNEj2rtAr9I7jsJhPIUZ17ykmRy97sK1vCRUgj1H5bg7Hj4IvKFrrLv3jhM8GS0svLwZJr1W7Bw8Pq1CPHjgXbt42Zu8ClcDvVk5oTh9zkC6gM9xuy+817smZ0A8PUESvMrAaTzSutI7im74OWfwFr1CYNK8rr1OvJ+G9rsWNYk84gAovXP2djxfVQy7JJoUPM3G7jvE1oW8nyCOPDeKl7yiLtO7r4EOvdL8nbyrqxO8tH6Vu3GXbrtbtSC8aPQGPbsr9TyvYIs88ffyOVs6FrzRAaw8oR8WPK1vE7wFgDm8j7N9u1V5m7uuqNS7bqervP5rSTzKCKg8QGsUPBHRKbw97A69SUvtO/JHaz2dCI48C4IEvd+PGjxMxrY8Uw9tPPRuFLwu1/o8Rq1NPEDNTTwxeEW7UiYoO8zJnLzfARS9ut/DO8XiLrydQZK8OrCHu+ljgz0FKx68fLCuOwGvHTizGJQ8jUzMPBrP2zz53+I8QCWVvCNOHT10NCE8xoGju3b8LzxoeVQ4QEEevEJUnztrJqU66zx4O6Zza7xJPZ88RTGHvF81LL0JvGE8jZeqvAhwGby0l5y7uI44PNM9jzw0Eh68XTsQvWtXC7wiMKK8DGGsu79Mn7wbO467TwmyOkV9JzvBvTQ8gfhFO1KagzzAOsY6kRoXvFLEsDzGfLu8+XoyvTT+/DueDdC8iIj1Ozj+abp7CmS8zdBvPHJNED1dA+Q7gEWxPEt1sjvdD8E8/1t6u4zgl7zn7JU891yVvPH9WDrROTA7PDunvGOXxrtP54G7R7yyu0FbGr3EeIi8khz9u6rcvjuUFxk8jqqXPKFsvTy5vi88JxgnvGFyaDu/i2C85B20PHpONDxfQEg73Fr7PGNIojoVkSC8Kvk9PJc7wLtnCre7O+6pPN22nDwrVv6728zpvPAw2bwPfXE8904vPeqqDb2x9UA82CxSuik4EbxoMDA9NvKJu6PDUTzfu4o7QAmUODuHk7w1u9a8JJTeO4ZJgzuhfG+8Cry9vBu+Nbu4vM28CTPrOyrSzTz5Gpo8G5EZvM8swjyapoW8PSkoOhR2gToMHyM9eAI6vGtlArxv/NO6oN36PMfrA7wnDTk8HfWovEZbtjuDFFG8F3eWPNl8L7yx8Tm8rt4SPeVO0LzLTkM6yISNum84rTx1W148X48evNx9hjzs+YO6+GABPc4+nbuJyAQ9S0dOPdaTlzo+YOG7I80nvLScnDt0xPg7o3RxvOzugTwmlTK7GP2DPLnn6DtLUsE7AlRvPJkgE7wre7Y8hSXbutL9GjzbBoA7lC2NvDEiizyHpUg8z5BvPALMorzbq/68XEohO/GzED0Nj7Q85vsBPMRYzDxxEgq7QN52OwFxmrtoRXg83IHCO+Ik5TzCDJW8TUqxO10hqzxhdyS6erlBPcLKfTwcFo68pIaUvGIutrwLQB08wn7ru3VLSbrH4QE9/AvYPAqctTyMmcS71SAFvSJJ9DrTkzg8WgvAvBREGbxGcnG8796Lu69ZkbtHVzw9LR8UPICMRDwvhQO9EVSaPKJ7brwXfze7xonOvDC7ijzA6cG8qFy4uqLVVbx26gM94pOpvNohhbyg7vg7muSeu8OKzTt7pQO9FthEvC82ujvtNzG8smyPPIOMSjw9MFE8iIjAPA/lnzrj9q28u6uovMJokDxNO7U8j+PePJoHYLyESxu73+VQPeTqLzxs9L47dtmKOoUnDD3FqhK7i7+pvN4A3rwEn3w8c2AvvSPvtbunzRY9HwjAvM6REbwzcb+8zWWivGiNP7teNqY8iWMAPJ5J1bm1qZ67VAZ2vCJ4mzykeDO9JUkMvGpCg7wSZt6894kXPLvMgzu307y87MG+PCgEV7yNcqQ7HUc9PNfNE7um9au7Z5TJu6n5EzuAEdC7XUPFOWZ/2bs7qSA8kwSmPJNJGT06wLm8SANiOz7qnjtijyS9Gh8LO8g8iLukyVE8mtaQvFvs1zxrHoO8P4m8ufV8SLy9rEW6IZkaPanUJb3DQf65gLs9vCPsGr2ESce7egzsvOdTgbzEYRS9g7JxPCACijwLXxc7LG6UPNwU6rtHxFQ84Q7dvKSMxzzIxS48muPBux9p2jsmVBG82I6/PHc0SzygIfK8Fv7SPBcsj7xE9xW9lDKAPHQlLLwrEHS8PlYXu9V9kbzKYmk82eYbvMCo9zzQFGQ7aUZ2vH4WYbl1W/C7TCyzvPCHDbxaBtM87SmDPP9HY7zC7CQ949c6OyUcHL0FEfS627qNPFPCGj28fmI8Ke1MPL2+YTsWaw29sn03PXCrHzy5JGa8daq/u1VZyryBXAe8pXoKPOnOAzzLAbQ8iBc2vAcYtTz8jga9yE7Tu67pkrtFuIG7ieLivAuOUTwLB5U8Qt8Eu1N6R73MkGG8EV8BvT/DBjyGo4m8XpOePABIWDtUY4s8v6KDPBO4jjy9fE08vIoNvA3glTy/xDW9AZEGu/8Q+zuFFJe7d3ZyPH6jfbw0ZPw752iUu7FOSzygUkY8hgDUPGs/ojuCf4m7kRsvvCzsgDwwfJ489E+LvK5qtLzgjI68FWGhvLw6pDwc/6m717gCO2z3jbyeW8O8VVHRPA7uvrxLptO80rmevMylFjzLvlW7q4eAPL9TFrpHw1M8M9gwu1s+LDzXrFI8ya6TPOsmmrzdEXm6mjltvCUWqDzSHIO8y0fxOj6PT7ufeOg8IOtivMVD/DxZDok7dwyOu1AOCTvUFOy7AZljPHBOlryhZMe74odEvJyK+Ts9smo8F+ufup60BzvsI+W7h5Uzu2R7gDx+Csu7UBaMvGWyrLst1wQ9COOvvM5tCjyB/sa8uRhXvPpmoDyiIx69OzypPEhC3ru4s407aHqmvHYcAj1tUac8rlwaO1Oj6DqbEy68JEs+O14tmDzZeQ28XOBTvHTALD1qEjE8DwcYvXdvwry9PVI6sMm5u3QG0TxNBW+88ZM+PM9qN7wHmHO8AHT7vFzI7rwAo8s7ZcniPPaxhzruHsw7J/2IvFfjnLxkJYa8f6tBPKBwSzwM01e8PLc3O1/d2rxVJDO8qgkIPRdePz1vfF08+gnWPEBzajytamY6SZ6MPPjTa7uHIUa8Ysk7vJ0XmrxKo748NvYPPZtZv7wAGIi8H+2xOyNWXz1bvqG86ZoePc8bPDsOLy689SMrvGmf27wsSiM62CFSvBMm6LwWXLG7YTnsvCTywTx24+Q8/e/4OiQWabyK6ey8Hxy1vFJgarzqCXU8bj+UPDxSGjv8JvY74BDtuoGSWrzEZhk8OvdjPLmJ8zt6uSa8tUoIuwcc3zyhAm08esGduqQXiT37bMs8E6mJPPMEprwayT+8nqJcvKXE+TxM2O67msskPD8Ey7xEN/e5ksCbOx81gTxHJyu9kqy5uqEEG7rXFv48GFgdPYNwBTpSeT+8q01ruwKCA7wjvH07+bgrvEGCqDwFTJW8K4gKOk/PJ7uoKOS8K4PGPFUQ0DtEB54827pfOklj8jkSOrU89RbEO5eDmjuTm5q8vbwmvXYhLLzTvZ2829gvvMF2qTxT18e8ABOkPCfK87wCJhE88y8Kuz5AnDuqR8y5p7YIPBMqJDy4wq+8bA/MvFuzhrx1elS99YZBPTAEwrzhmrc53kj+PDfxM7vmCLG8YcH8PLpTlLw+LgY990XtPBN9UrumPiS9FJOfvA46ZjwdtQ892k+Yu+N6vzw8skI9VLF/u7tRNjyzab+7TCMtvMdQkryOlAk8yQZ2u61BBDzIAgO8UlY7PP8i+rzpOM67y6+BvGvthztnMfk7bpDVvLKL9ryN2mY9NUKBvIGiBzwGtZY8xe5xO8gJtzzDvH676VLfvGgL1LzHoI68/1biPGscDDu8Hn87hlb5u2CgFL1x9wQ7YKFGOrpofbsmH8k8DoDMPJ6bqLz8fHO8kUhQu/MlEj1aEWo84uiAO/qU+jttg1m8FD/vPMoGcbz+6vc7QVojvAfz3TwSgf08pAelPNEsOLsBlhC85t/lvLeTJzpjBz272Ts3vLQg1jySTTQ8+AgmPGXV1DsXkbK74TEWPcCz6jzPS+C8Ibi/vDumJLyrOK88itNKvP+OpTzLfS292975Ol3Kq7yRZ0e9YlPbvIKxlrzjz6I8XqS2vLFGyTxLTIy8qzqEvMcdhbwtgco7dHO+OzBS17wydAI8C2GAvNCvH7xqFAs87NI5vHRckLzkr/A6TMBYPF5TrjsvLje7OJ8JvOlA7jxThrK8VzWHPDaxQzzo5XG6FtKLOS6lgzw83Zw8MxIvvHH7xTzowvY7Ab3jOzuanbzQJ1m861+gO/F/mbtmmiG7OcpfPIASfTxhSZU4GOF0u1D3xLs/Vxq8g9y4PKit9LrycNM7uaqNPOepaLzdVZ48Wasjus59lbutjeA7KEL9PHmgJTyNHva6c+SOOsPP1LqKVBq80oA0PNm6jbv7PSK9pdX0OlOXzzpQTKO8Uh6MvMyXmjqA8XW8ZSisux6Xlbwtv3O7mRUbPAIZVz1CZKU8nPHaPBoybzxT13470ksePP+ZeTxgw3k8esqbuxmn9butdBE8MlDePDyELjw7Q/66fZXmu1nXlLyVKN+896v6u2DtxTnqT7m8rVKevKSnrLwnnTM70WcwvJWNCrwwQqm8LcUcPVoJVbwiI6o7mRQJvQzaB70TKW08QqgVPF1tPTxAJxY855YLPZNU1bzUsIK7JMSrPNNvGLzn48o81MgKPdo0HDz1mJ48FkfavN3u8ToGCCY8rhcBPFrrkLxnCJI8dSXvO58GvLzYwAm9NJGMueDtCTs1D9I8ATpOPAxiWjs1Dfy7x6V+O/ZErzsLgpe7vPudPF3O6rswhzu8hcUUvJ3/h7vZxgA9y/UovCAm/jpJVxe83eM5PLjI/js0HOu7JF8qPcezgbyTEu47y6WQPEnthjzqdbG83PevPMjk4zuByYS8l2tPu4pp+jzcy4C8lHX6OgEJrjwrBxo9OQoAPbZ2hryaNS48Q3UKvKoi2zsWHjs8cR+euq3jq7wvJ4C8cPazvHemmrt6Z8O8lTslOCNWMDzVjPg8RrgsvOjg7bwwP8K7sBkCvZpCZDvhiQU87YwSPT7OXrsTnRm8MIwsPNAW+rvDm1g7v66Gu9e8gTwZfAg8h6XxuwNisrxfeXe8Y82lvFab+rv1jw27fJIbvdbrB714ixq8H0NjPLFuFT2ba5y8seD5u18h0btabDU8aIXjvGxG17vqv3M2pSuTPJAk9roDpoG8p4SHPAY20TtsuHA87lnYvB0lMTsGbzg8NB3KvO7RcLwh0/U80b0sO9HDdztLTMa8LukAPPKgNjsxwjS79OaPupMxMbzSmjU8PxWqOcma9Tsv1R+9CP9NvHjjML2qAjA9CfylPIayZLvSY528c3NZPHDPSb1eg9683N1IvaxfcTx5kji8ToFtvN3RSLzOdJy5cMU9O54LrDvaQwk9NCBxvBPO/LuxJFs8cQb1PANbOTzP6928sG3quzxaejyvZRS9MNZJPBOPjDyLa9y7y+x0u1d0OTyhoRE9zL6DvJMnOzvwnqu73ZKIuxOC7zvNDAm8zKBJPP6yyDwV7dm7LyplOkC/87ssgTO8RXWBvLijizwTaAS8O4/mvLATHrw5rHA7i59cvP12eDwsCeM7DaJyO+AXezznbCM98V0DPBurYzwXJ686ivCpO9AIJ71YHeg51RIAPPC8wrww2qm8eiICPeB8xLv4c2U8sRNavBrXKDxkwBo7bWJiu1EpW7yPsQy8MeL+O0ckpLtOjDc8itBKvKrAHDuqldS7gcNQvJJu7zzdhsk7khS2PBXdwbqMVm48irKAPWHpLL3bfDu8C3GYvJ74C7xakd08dqj9PAvCjrwIsuW87zEdvOiTB7zB/GI8aZGuurr/Bb2xSG47EqlwPGoEtjvDLIA8m5ChvE+yALkC28u7JbA8PLhV5DpeTCQ89/Z2vF1QwTuX0fC8dNVsvIv7z7pztu48nvCPvGeAEbzb9yy8e3PPu4k2h7wsR5y5nxSRvLHNsjqLW8s8HDtgPNRDuTvCPDe7kBlXuxYzwjxdA3g8YbMaPCnGpjv6hZA8Vwr0Oqd/pry7cyI8RC5tu0YpmDs8xBc9LCp1POSghjvvotA4+kejOng6a7zZibA86rcuPOmR6jyFX4y82zFLPCy/1LshdFs6vo93PMKV+bwVwMW7h96Kux0IAzxBnMI8Mf29Oo+Xf7z7NOa8JE9Uu9cHwDtIaDG6G1UMPPnymjt97R+9iVMpPCi3Qrwhg7K8JXS4O+49jzri0fM8aXIWu+O6M7wXctK8ZoOwvHbwr7uPmgQ839SAvNWiNDxyz9w59euoPESsVTvbXCI9exJTvEyTeLxwP1a8SPePOJIrK72ohUe61QJ7PPB+ibxHWvg8FTG0uoqtxLwBSDe96mwAPAo/TTzCxpw8vQSLPD7RRjxBzJW8IgkMPAYijDxMbPe7gzH4PFKNjDyDJAY7XLUSPAWJo7qzhvY8juFXvEz5TLtrkp28yfOVut9PlbyKTLg8PssqPJ8rfbyrRZm8z+Jhu05KoTzmTla7IA3cvG67nrwDp807xzwUPIlcCzwK4Ne7zu3qPN3pIjzfzI+8AXUkPVL6w7wOOEC8bpUPPSmD5zvOuYM7ypBXOo29hjtEVVc8v2Szuz63fDz8xOw8RFsfPHyGELrqRoC8aXY/vJxU8Lt7g2m8cID6PA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '150'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What was the cause of the unexpected tsunami that struck Mumbai's western coast?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 16
+ total_tokens: 16
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '170'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What specific demographic is Hwang Ji-Yoon targeting in his digital campaign for the Seoul election?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '170'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What specific demographic is Hwang Ji-Yoon targeting in his digital campaign for the Seoul election?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '153'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What specific date marks the beginning of what was known as 'The Sightless Autumn'?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 18
+ total_tokens: 18
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '153'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What specific date marks the beginning of what was known as 'The Sightless Autumn'?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 18
+ total_tokens: 18
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '143'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What are some cultural interpretations of sky quakes in Japan and Norway?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '143'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - What are some cultural interpretations of sky quakes in Japan and Norway?
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 5kGFuUWzHD3EkVu89czZvHYpnLpmZJ+8CghkPSmvTjwWsMI84SCTO5e1hbwTa4S7aS++OgcIEL2UBBM9dy8IPZ09Aj0lkho71Jy+vOBwGruL/KK8BuHFOaenvLyhxNU8AUJbPaamTTx0+8a8ex9uvShQ2zvD0Lo7+0ABvdpSV7x78ig7DuqIPJ2NsDuOBls8FctDPXtU+roftNy8ZLevPMaBx7paPBE8lZu0PNPVWjukcyu9jtWkvAGVgTzCFwQ8scIeOlJ297wwz2A8YyS4O000KL2pVQG85INUPTVW4bt/5hI9/Vscu2NTXztgUAA8KfspPPdk9jwOyB29aqfZvKO3G7x15iS8K+GQvNyk5rxZUpg7u+FKu4BIfr2P9Lk8qA4CvKmQiDrSQwI9BbGCvFQiw7thp9E7khQ2Pe262LzzFBg8I04XO4I68zkwLbu8tZAXuxNOcTwYdwc6TeC8O/gQ+rydcq26zHQHPIws1Dvvvgm7YDBJPUqfNTqrt/a7Yj83vNYMbLyZw+e80eV3POABQLwhrcu8xWeqPEiW8LvUK/884gu5vME3Jrutr4+8aVQGvBMWgTt4Lau7eLxhvGM0qjsLP/k8GmlxPIDQMjxu3w28qA8MPeF/+TuAbTE8SpKVvHbKSDxSANk41xqQu5pR4DvYDjO9f08sOhpUljv2Vd889tKHPLICsDysnki8bsarvPS/Dbz0eZA86jVZPC07Tztrqoa8ed/Su84087tkOYi7IlLxOvvBTzzV0GG6CFLhvO4J2TyJtb47dn8KPdGDrjynKzU6QJa1O8wwuLvCoyQ7MNNgPPdN9TscTS08FfYXOqNGuTop3Nc8s7CTPHkyGjssmaE8I1iyO247qDvVQnw8Q0cTPCVp87ue2fc8S2K8vA3M6bwJRZw7irIuvJd8AL0sxYQ7o8YGvEd/JLyI3J67Qot4PGgZNrx3N/q8px37u9aNQL01SVi9L+xmO0QzTrx3/UU8VveavF9V2DxVS2A8tbASujOAljxtHKM8BpbgOy1LOjzpirY4YeMvu5B2wLydXHC8iJ0FPGQ0gjvn0OI73G9juyVMq7wZ2o+83L5jvOttb7o79YK7RWOLOwJ2xDwxsAG6PS1zPOGbWz3XoCO7GDngO1ZWAryr8Q08tUCKvABsOrwL/5C6J71dPXGIAr0QrAM80GgKvFsdazy5G4W8q5mYuuLMg7gcYn47s4TIu/CSMzujjvE8I4e5PJjoDjxEjAq8daVcuzUyWzsMVyA9BEyQPOdFhTzXRju9SJ3KPNDFrLtvwKQ7diXcO9itjLzSyym8UJKVOp/TkbuEYOS8kIYLvWf6mTuBIpI8/hcYvLDt7Lx+W4G8F8I+vMbuw7vcyD48m0hOOpx4Yj3P9oO8UQloO8WnXTzfdBe8xnv9O1fy4DsGsoE8Sy4hPNMEvDvQXs683/YcvUcY8bulqDM6YL0bvBAaarmD7Ta6W3o5vBJFPzzvrEY8un2yPA2IPry04im6kU5GPc5Sgzw3la+8kcIFPVDtRzu8dMc8qgS1vN3N0Ln1Nt88ykZTPC0pB7wVvUo6zlo1vfxQ57vJI0i8bnwYvL/FJrzonw+7gFV+PJh0frvxKG47NMz2PMDjYzxID0c9cPw2vKhlrTjrRim9Y3AQvXa1YDsI+K06P3j3Okk6aDxtooM6BMIpvSxmjjxVhwy9zeIDvbtDU7w7hSc82+0tvdAAiTxgfVS8ibsbvNS4lzy5zLA80/KavIWtI7w0QRo9BkPDvE+jprolweG7XPnVvDP1ubxT85e6iDRCvEFQAj2ujW08v18jvJ19jLmrcp+8gJHYu3Le+7wHC9a8YBMlO3J3hLwvTg47uocJvceCbDwtJX+8KqsvvIee1TxrVV88wyj9uaFi7ryqqQG9qDkhvC0Ey7vyRpC8rxFZu+ohhLwr8pU8oSqQu3530ruSLcW6rvnHO8WcET0kTA08DZUcvALG0Ds4O3S8u4daPOhanDreipI8aqdyvAzX3ryKj+m8piaMvNRKlDwo8wI6QzQxu74pkTrbC8I7wELvvGt/MDsQ3OW8ErQXvSmAYzwm2ik8ERBWvMdWHTwiOzI8kfZ8u1KLbzx62OO7ooqKPKVB+zywW/I8AtBUvAjOcbzlcW+3wvgevTjQpby7NDO8BYVhORdaZbxryJ49ayUKPdrtyLpg4L88kKyVPWHlgbxo/7U7AWrsvAdM3TyAYKO8XAccPczagruGxeu7nQa2vKdSwzvE1o+7maUlPcrmT7xXbkE8g0zQPEYHpzxvNuG7fAqGvbVFsDlmnbk8whnau0s29Dw+pr+8OhBVPW9FtbvGDNq8gXuXvDm9erp5pha9nFqZPIWEXjym1Lw8JbEeO6Ha5zs1qOQ7QLcEvKn8Gz13HIy7T7D/vLGTrjwMfNs6r/nZOxwr3bz9Sd+8bbBRPCpW9rw8t0S9RerXvAY8XL37BIQ8w3jDPGE4MTw8cJy8a+Tyu1l2szysaKQ731IHPeSvoryy48K8rmZZPOuEWjyuAxE9bsWau2H0hjzgY0w8/PzOvKwrlrzUyqK8beVgPK1slzuvyBO9QpjvO88a2LzGlKW8wH2MPBiPizy0kyM7wOD+OmdlFzwGZB+50SfCvPSPFLz4mva7A1m+vE6fnjxH6FQ8ktAOPP9aBD3Ti8G7+664u30SD7xdnvm7bB+fvHf8JL1bKZc6d3FvPA+herzL2ow8dqVDO5NmFzxTJVI8C5azvfFarjxwaX26uKhkPFdEUjxivxm7k+MePFkm0TvlWX867JW6PKImtLx+Ik887IkpPOJv9LxjVZA7ScYJvaO9hDxXn0Q8pTvHPKeHBL1SIIY8bzMQvftNBzvabmu8PK54PBHtuDwnui89GyGvuzT8R7xyjLy76QcaPG6YIT3Fy2y7Uc+3PInB0Dzv5+u87wKLPJn5STzdJJG7AaaoO+5FAb2YiG87CO1DPAk3Yjvx8o09UYNevKMUuDzvIM28COwYvagcvbwAdZK7d9pOPFOTJD3AXsa8Gp0COyksPD3XvwA7dsRVvBhA9zxGZsG7U9WXPPd6CL3dgx29gGkIvARk9LzHAI89IZtnO+OVUDxSR+E8pTtHPOjoVb2zOrK8BkvKu0ZkJzwf0pM8/IOiPKB29jyviwO9SwBeO2WdszthgC89QrSruydqEj1eGp07G+iguyOym7ypsPQ8AxW1PCfCwLpQaHC8IJStvHu//rw/C5c51o4lur4YATtmRFQ7cCjNO8dsWry1aMi80eFnvAHf7Lsd6NQ8rff+vOiTcrwlFmI7+S6bvIGv5bxtPDK9t3RyvGG4kzwjKt+7JpL5vLB8trwzMvW7wumCu2Fcm7scrd+8TwCMO6adlzzs5Iw7T5I4vHdVMTxSXhy8MugvvWPDwzwrUKo6jqrnu/j56jvHLVY8UGjyuwABADz5Hbc87ji4uzeTBLz99ZK8SpigvPm9lDyNRQu9okbGO+SNebwROUu8+5uEO/JazbyTArQ8/7QDvMC6Dr0xpb47N0kAvVbQIbyw9e07XFYSPEJ0HLvwhx+7jqjcvCwz5TzjJBY9I57ruwkpqzs9Uvg8tt9TPNBF8ju9uIa8zqFMvW76IDwbOmS8nbopvIUBgjyleSo9NRYHu60B3zzBtmC8xU0dO2+dBj0L7hC93j5dPKdMeTxleEA9qoB7vKAsjbzzcvg8ECQFvJ3nwLw7boQ7APyZvN/iJDxXSei8Jss+PLBaCz2zUgQ8XvnuPKWZEblEwgM500DzvLOoJb01TU48pPKxvGmxDz1cn0M8Hg0SvWuLSzwoTQK8BvwzPJltHz0BPMK8mpo/PDFXgjkghlQ6lV4YvVl6fTwn5008fLgIPHqj/TvVIjm8rIwxPBzHVLzEE/27lQXQPJ0CnTxCfRw7X8SYvNZPOD17hAe8KYc4PFZrjDuBjp48vrWAO9lq+rsmY827lVMYOq62trxubym7ja09vddCSDxs4+e7AjNVvPiS8TvoRCC9/s48PS84kjx+7268F+eBvXiryTw8lQE9vY5kPPUFLz1Mqqc8GnGuPPLDErwTmoC866IxvK1eIL2OX0m8XbyDvAzmrDzZvM+8BaMlvLommzysueI7pKmSPFkHq7wlku08hESJvDN9gzwkbxE7cnn7vNVvKLvgZfG6jWcqvO4Viryrrwc8MRTLO5+MkrxfL2W7NUh4u73wUrwIvA89SQXovAds+TyCuxM9s7isuwiqlrwZv947T8UkvIbdhDzg6YM834T3O5zL2LyQhC+7XoBaPRe37DyY9iw9CfCrPCLQxTaW90o8paLXO5mxuDqEinQ7PX80u66xqbziOd26VpH3usSt7LuWGYs8zTuGuoKgpLx2T+I888puPE4dKzwOtWc8QpDXvGlPbLyJbhw83PlJPIdT9Tyh4Du7mO7/uufKi7txPwg89BJ/PFIRkDx+AaK8WFlPvBrd0rv/7v27RM7tul+MMr2R98a8tXHKu5dfkzu0dso7kpaivHQzkbxBNV08EVp6utFTFL1uARA8EqSNPOJ7ED126Ks8VmEdvPETA72oxO07G5/XOwfGnLwRAy27z38Wu9FkrDzYLGQ8FPXovPr/5zshhc67ItapOwSWMTwg6Z87pgUUvVC257lrYoC7rvakPOWWDDkbxyQ7/kknPMWNlbwDUAK7LrXxPMJUoLt0MCq9aVGVvGLImDxaRc+8i/oQPV+Nyjsz9Lu8HzhAPAPqIz1s7ry8hVt9PFqhETwMKjE8XZCuO+ja2bxdEJc81kNOPAtqyrtf9Xu7YKICPCvGJzyFnx29w2kjO4AH1zw+poo88W4XvdQjJj1DN8a6zRV0PFnXlLzzJ4w8xlohu/U3yzoV5F68ALyqvEM9kbwrt6e83xa5O9I/DTzhfAQ9i/9JvBK7B7uLeYq8A03qOynS4btoXw69tdMuPXTSnjzq2A+8J7AYPKLMNL098GQ8Aeo0vLqBGz20jby7ywwXPNgNCTvtssq7TNdZPJ1tgjwRXlM7gYshPEdPYbxXPYe7KmAJvWGrOj1EqwM8iM8eOvLHkTt6eoW8Sd0wvEW+R7s6qnq889yxOz4c/bxsKB68T9uqPMl4xrxzlzI8ucZSvIG5XTzlKyU8Wb7sOeul0zwxT+K6NjkMvB30QLvB5J68Ei+Xup3hbDzbiMM7AjS+vH+Pibx+uSk8ZF61PJswGLvS94W8M/tOPene5TyRIOK7ur4XPbFn+jgDjlG9nMUmPBOlmrw+bjo7IPGGuA1wQ7zEHFS8dJX8vG1QM7z+sC290bWivHWHijtp0gI8k0nPPBJobzuuJko7SkGWOzTDArwGZLE7bub0uwpuAL1/cUS8QouSvG7Z3jzZ0mQ8ew6nvHGOCzsPs9C7BwuEPAPA/Ds0npi8agZ+PHJUujsXp+o7YyAFOkt0Arp+NTs8534JvFh5YL1qDRW8iIc2vXUEtzthbhU8scLVO2hUwTve9wa9hw7EOxfsojwg4Z47/VgXvHedRzv4EMs76nLkPIA6rTyu/wy7Kvz6O3sibjxsO6E8A5zTO7ikrjxxAZI7NUuSvISqPDt1P3e8kh3zO4B21TddZRW8L95RPYs02jod9h09iTIMPS2Fo7x7C468vR/cu6tM6zxOZB09QyHDvMt4hzxTwXC8KkuSvE3dqLyKZfQ5EvOIO2THjDx7hhQ9uk0GPemXobuceyQ7kdxBPAuGjTuQDx698qg8PF1mH715ghI7SqoUvM/YRTxtrL+8zhM2vDmoZ7wxY1G9AUDnvFodYjvLvpu6lt1fPN+yFDxjiaW8yRwQPDWT47kiBSe7pddAPDpW8Dxqs2M6i5J8vBpAuLxK8Po8NvkZvIMzGLyKX9o8B2FDO0nZrzxL9lG86goru8aIWTwAnzg8wGybPLMchbzqPty7t6fQPICQET2XFP48p9E6O3a8qzx11pa8Fk9DvDyy77wnoC+7HlqEvCTTU7xnYBe9ibqRO7fzcbyN8CM85UXLvIjacDy++U+6eGGIvArrJD0d0KQ8Awu9vLoBMbxsYh681mYxO/ciNrtXfoq8O0wNPZIviTyeStQ7YL3hPAJKTjx2Ywg9RqN9ORGUdrxvIji842fSvK07Nb3hEnO8WxIQvd67hTwCfHA8194cvKWf8DtdzQu8HarpPM0oyjx9UV+88FQGPLtthjybEoo8kHrHO+uxkjwONJ67p4VgPC85lLuykCw9YFSlvCrFrLx4/AK8Sg+MvNck8bxS0No7gjqBuhvKq7zeLrI8AXigPPo1VDv5cnk7hPqAvBEp9zsWS4W8Ii4/PXZ0zLtgtpq8WcSkPJM/gbxtQrO8r0SLPOUEBD3DDL08hOYLvUD34zw/ZSU90jGEvFYzWTwWBTM9NrGYPCbB97yyZji8RoFcvESsRTxZnNG8AkJJPekV0ry7L6w7KYO9PJXc6LpKUKM8oAQjvcHKkLvAZxK7i1OouyeaQ7u8YYC8AjfDO9HDtbwB2I+8pqrHuPuGvzyrYB88FopxPLi0mLthv827ysLHPHvLiLyBfjy75xlRvKz6fbvcLgQ8MBVCvGMPjTwITj68X0FSPPbeiDsk8jk7uOYhPVOYMbz6OrS7OQaZuvCBjTsGOfw8I9Lru2ILJrxFoEs8Ii9IO1l/Ijt0jPU8fEhmvGlUujtdEBC8LC1tvCf5frwZ6sI7ireYvBDUZTw1KFm7wMPyOWCZPbzAPEE8fhebvILoKjzqFqI8mecAveKzEjx+cEu8TpuzOx3PiDv5HoW8f5KiPEnymjufswq83pKZvJ69bLurprA8c6n/ulgBhTwIa2C8JIzRPPtDf7yZEau7kx/5vMo9wTxwnoO89g3iu3MDVTzdTAm8O/KUvJmqVbw2Vta8f0FQPcQfbTyTYbi8PdDjvNJKsjxe/ie7drW3vMsb1LuSTMe8X6mIPJhYobwINB08vU5tPI/shrvPiZ85WTtJOyCf7zv+6Yq8kEUZvMuljD0uzS08cwncumDAvzyXza686/WGvDGGNLyQRgu8Sq+8PDSW2ztuTAi9KmiTvF7Mw7snfuy7LCHhu1WrS7sz/So99ImcO0I7XDzyT+i7U24yvWskE7xywtk7Ey4vO8XNgbzopqa8fiP0vOyEHLw+49+8BwthPGjRhzx5ymS8URymPEAZqLznji86KsGoO8Wflrs/KME8veWgvIBknzvybzs8mO2vPEbOt7x6kow8TVdfPDEAM732pYU8PPUWO2sZzDtbM7o63FOgPP6MSLwm2Ds78B7kO2XBHrzCsIs8v4EGPXjeWLyNKse8WbEVPFQyQT0leDQ8y8dEuz0/cbknbHM8xY4ePeKBujsPJyA4r4agutQSBD1u2K882HC7vFyL/zwqTBY8BJ4SvbIMbLw8HuY8P0nOu/NtgTqjQjw6r4epPHcHML0GS2W7h3gNPcYExjv3g3Q78FJGO/HlrDxERtC8QmhmOkygrTzOrLG8uW49O/2DtLzndls83lEiPGcdEL1j+qY8MsiDPOJRzriEOz661kW7vHPan7wDISm9tGI0vBNcqbs4ptG8StfVvPm2JDw4Pro6Xb9KPCNNiLtWJtQ8k8FfPBtS4bxZ11a896/yusRGaLw8+Nq4lYl9vAenEbxKQz67zh0SvYY6ejwahqq7vEfpvCKgIb03mAS9vAUJPNqB4jvpy7c8eld+PPgCET2FWbI8f+5puyrrBbxy2Q099vRXPEfnF7yN9Co8gAFTOw845ryDEfg8fUABPcyw6rwIUg88TsbVPBbMtLyZ7ye8pvKEujoKYboF2Ns6vqAkPCCDEzvmnRE7FPwQPOBqIDwzqhE8YgeMPFx/LrzYa3y8SdJovKmxf7zRh2e8RIgNvJXGuLstndA8KC6fvCs7/TxhO0i7X2T/PITUJTxMf5A86JowvGtySzz8ulY9pIIXPOUNM7oSPDy9vJQKPAEKE7t5YjQ8sEHqPB69F7t0FFe77MyGvHQ9rTyNbzU8U2itPHY3MbzrtDI6LWMNvftJXLz6HWw88bDDPK+ylDsLk0K7mjwevNxpjTyeQBO8OxQNPClBEb0SZ8W6zeJgPDVSXTshENs7PVSSPKxivDsN1wQ8oqlGPJ7Q3rysxqo86wuAuoHPEzvbiOQ8YQhhveoz/rw59IO83nXvOuu6rzyEAOo8meycPKOSuTufeBg7IL47POZL9buPzQE8mkwwPD7uATzSfAU9vVJBO4oRLLzLvYC8r+75u8uvwTs0bzE8de1KO7sRvTvl4CE8bbSrO7usKzwlR607hLqlPOglkDbpjdW8qMojvVqxDTxX1gO7KWbavAlFGj24TZi8yjtYPDyPrry41MQ8pkv4Oy24nzzc3je82H9avBhNtzyXlTO9wyc7vAP73TpHCHa8S+DZO9ZNQ7wnhEo7jyfCPFWgvDxmthw9ApLmu24F27zZkq+7TDaWvCaFDT2B1Rc9YCufu49VjLx3Oxc8bFYQvJFgL73ebsg8a/R5PKr5UjsZXuQ6l0BRPJ5jUr156dG8UsjmvOSnR7uUSyO8zkeZul2WpDt/BvE7+PunOb8vAr1gMko7ZD2hvE6qpjtcE2S9n9AtPIE7Frzoe/28M5nWPFwZ67s4Iq48tn40uiEiSrtlW/k4ShMYvJHsDDwM1Ao9Q3eJPPXTo7xyuqW7RyusO5wXujusyOM7D9q/vKEPzztDRnK8ZG0yvIIC6ztSEYO831k8vTZiczyZkEQ9NARTvNotG72CZKg7aikSvN0yP7y8yyY9P9tDuzaPiDxrsag7f5WaPOXAmjwfrB69Qi5CvDeFGbyHpfi8eY8PvIkysDuk4lq8HnjRu7PyRLyh7Yc6nWGiO2ZpEbtOooa8ub7fu58TRby+xn28hedCPJciYTxcmQ08ZQCuPF6g/zybTri8lfZ+PNeQ5TwQihu8uIFFvEVKUzypDA09MFC6vCw0kTzfu/o7Q5MyPEyU1LxAYMq7i5+aPKqfgb2I+ag6fbAnvD81CTvNY748QXyCPP0wTbvEFgq9u4yAvLFj+Dw8F5e7F1iUO4FFazsWzgm99hrovJaZWDysfdi6EWxsu8xeODoT2He83cxhvJ3y/TyCmMG8229cvPwRT7yHXoO74AonPeBP5bz/I9e8aXc3vAnmkLoIiVY8RXNCvBdXVDx6T1g8TzfNvA5bEzwDjIY8Yhr5O8ogarxMD7k8CA0OPGy7Tjx9RFS8smHWvCjcHr2+O6Y69JboPGYUnjxHiKU7xnZGOxQm1zyOMI46AwvzPLfOJLsgtpa8Km0AvMflgLy1k9Q7b6caPDgGjjwM+Ja8SkqWvIqHyTyRGwe83+7MvOve1LstV3k7UBOavI6DhDyzIBs9XOQIPeU+MTuBtky7IYAcvMbBibyvzAm8mOBXPP8iIjx+5SK8wycEvNB00TyA0+w82giYPE58IjqfiNC81dizu4+8kbyOrNW7bycmO7SW57t4YPM85Jh5vEO+5bt3mb48WqkKPR+MdTt8Gxi8BbT8vA3umzzEf5G88JLDPNSwODtmWAq7ECp8O12Aqjt//Cc8RLS2vFKuDD3ZXXE88eQYPAdSiTzX+vS8L+6DPLmqsjthywa9xk/Nu5Y6jTwhkKi8CH+xPAfJoLxTVNs8JCSpPKOOObzfNYY8kb0gvbPBPzzb7W88aKs+PBVouLwH3dm6GAa4uqqrkzz0Z8a6JGgOO+WNLjwTYeU7IRtpPAXHHr2UI4I8Fc6lOQj/tby6rIa7jBTBO/U+RrzVkI67Q14AvNq2CrlD3ZU6Jy3eu+smLzzTgDQ87hK7vMCSxjqgJNa8+9oBOxoOTDuMblm88/jjOZOqebyF3Ps8DkIhvLwyJD3+j7Y7wv8JOwzgbrzgPDs9XZ/CO3O26rstuqc7CallOkTAGz3nZR09T5AovR6tZbz6zq283oGsvE9Dtzs4uTG9SD2VvHhfl7r8wp+8gloPvfmCBLswtkc8+Rv5PNSEDLz19gC8gYstvAuQqjwvphW9UiPbvIgInDwsAZa8X0SWPPfY0bv0bH28CAH7OliFBTvcN5M8hDMWPadVQzxY9QM97K5JPLFTIL3TJMw8UGJFvDSxjTzYBqs8zEsCPfx0grr1epU7IRO1vIZ3HzvRwaK88CsBvKjCCTwoXQy8uKMlvBELqDtdAY86voLgOSXOvbukQss7oViKvLpHEbyLxA+9ig/dvKMtjbv1W9s7ZtoOvQstx7xJWBO7lZVXu+5bHjuRmOY85HUMPD1lijygGJE6QkTivFovHbzV43c8Mzxbu1edADz6SPk8sgUHParb7DwJiGW75Xd5O+sTI7wg2oK8B1+pPJBk6zsWkyu9DinEu10IwrwGBpu85yyTvDhlnDhk4ZO8LAA2vBpdr7vhol28xnzkPDs62rrNzEc8zoAWO6UhXTtQWrY8Fb3UvF0nxDsaSoK8XaGhPJg1OL1O1Cq8sEJEPFnwILyR5dC8h44FvN5VGL14alq7mEtrOwCiKzw5m7c8EYWWvLM3iDsMjYQ8I6acPLlyoLvz3pW8xVmcPIwmKzyrFhE9o/C2OgAlVTutp8u6e3hPvE1Kyzt2bcU8z/nKvKG6uTxwDae8BSClPHpPjzxEuZY8FNSQO4B+qTxlx3q7JUBqPMc5Jb03H2C847W6PESXYzwhiti8wT0BvW+okTxLvQy8lLANvL8k3DzpI1w8zm22vK0tYjzu/Bs7nuW5u3/cfTxDSLk5zJ1TvK09wLzVFH08YICbO9bhB7uIuli8rc3APCHlejw2cty8ZeQEvY+wK703IzE9yOW3u3qlE7zVl8m8M24IvbAN2bsNf0I7ItanPPS/Gb19Vna5YCIJPE17Oj0DmkK82QKePEebKbxjQIo8sNh/vGv8i7o3gpS8zUpMPChz2LzAPWq7SozoO22mubw/uxW93s/IO/LP1Tosx5Q8AqQEPO3+gjuEcH27CdGsPCBpgjwSRFa8sOilPD3ioLs1soi8SvLKuBlyizyhimm7ISizPDlPyzyH8C2814h7vL6AAT0cXH67pkVYO96T+rwZTTu9VbzKu1NwSLs5gds8YJ+dPADm/LuptLW8FBuCvG9QC7wcUlm99A7iO+o1C73EgDY89grfPDBqgrp2aZU760Z9vL1qizy7muG7omuyPDko27ynx3s8Xfy6vI7onDuoH8Q7tdn3uxPkRbsLX1W8T/gKPZrnCjzhXeY8QYWyPCtCCj36sfg7yTQUOuWntjt2qI+820Q8vZ+gQTsMXLC8cU8xPNo4QzqpCUQ7VG19vKlsX7uDjdE76VgFO46kK7wd/aS80RSWu98+kzxAS/w7WK+aPFqM7btSklM730AEPCwGfjtVJg46s5O9vOe8UDt5qu48RIqHPE5aAbzjlPM8wKZ2POaEUjuJjgQ8GhnpOnp82TvHikC8DisCvI3v0jwvRD288mipOl79ijvUssg5TENdvGJXFrxtmgK9kcNDuzS/K7rE7Zg6wUAqvLXPszxBn3U88zRRPHZ26byd5qi8npq3vJ1iKr1g1w48rJ3gPOsUR7xGaAg8ozKWvJp3fDzd21w7WUeivNLvz7t9t2Q8re/8PF8bx7vJfoc6Q7sxvVeMEL3mGGC8wNjAO6K0jLztd608j7GhPOPI2zxU4BA7bFfhvNNS2Dt5i6c7MXOcPHHOMLznpJk8jgH3PEN/Fju/+Qk97omQPGb6nruC70O7IftGudxLqDrdDrs8li0Nu7AaT7xQb608CweOO12FhTxENzs8X7kMvUh8mLz+FQG9YLVOOy+iBbvnvy896k9Eve3+hzrcfeE7Vb8HvGC97bqjd7S8Jzi2PFtn4rwsKsY8vAFFvB61P7yS1gg9wVOluzvHuDuUsA86nnHrvFGP+ruN6rU7ws2NPJIzuDyHIM08kNldvCZcK7zgSVG7mnYUO8ruZjwWT4C8fmF4vMPBLDs+fh48QD78PLiH/rxO7g09Jq+uPJjOHL1WfJ08gghLuxnqELxCJF44a/6rvNiPXzv9lx68eZVCvPiStbz9uBC8WdSyPG0zBD2keJ47+HX3OpcRxjqnyAi8SQvnvLq3SLtAOdY8MUrHvF5BpDu209C863ACvO1FiLy8zeg71AA7O5BjBT0cPr07n7m8vB2SKr0HLAe9VOAvOypy0LwEcdi7QKugvP5vYbxRk3A8pWwFPVxC/jyDxaO8mWX7uzRevTr00mk8uKiGvMRIcbzFL7K7soMIuzz+8bqZT468fZLYvG7YSbyy0ES6Ht6vu+8DJDw/2Bg9l9i3PNtVVDwl0Wc8VXCvvNNbL7z1whA7qxBZOxc2xbuH0Cu8KGEDuwPP8Tsndow88gUIPXkGbTzEmY28BOfaOwE5wbpaIQU9JRfUu8Nfb7xqe288NhR6vC51e7tElPk8hlGsO/eonzqepJI7sjsUvbVUOLwkP6K8wljVvA+cqbq/kuk63OAHvP3HxjynuAa9QGZEPHCIwDo770I8XiWuvIA7gjwzKW479gbOPHOuYDpqLOK7yjW3PMCPC7qKDMI8c2TSuyn/7Dw2wf87fTOBPHh2zrqEHxc87UwOPewG5jthJSa8DrtWu27pNT1ItSs6VknsOpg9dLw89RC84r7CvGoPFbsHjbS820bLPOD8DLyHaaI7FTtSu5qJvTy3gu48THHZu8yzuDvk51W8lJzjPFMUi7xDc36877CtO2Ru5rmjbDy9DfGjPI5WC7w60CY7BQMavLDeKjtp7608PdAkPPzckryELGE8Ju2ivHqCqrshMyu8y2fvvPXD1rwUFKq8MqoYPOVEWTsacmU8qA6bPJFoCT0isQQ8f7JmPIdx7ju9MOA7K2vFvHUoRLyvnn07eSD6O/e+mLyxGl685w9ZvES/q7yt9p66Bvj8vMoPa7vxXL28qZmEPGDuvbtoy/M80vw5OZwvizwVcCq8ci/wPNRU+7pmfpI8s2KHvClCdzwrEHS71ePwvIcGArvg8BQ9FM2qO1k67byvuvk7ArgvvCZcxzttQF08abKguaAG0jsHcuO7mlCYvDiIdzyMW/87bmAGPI6rRzyvMFm8JtZQupHsd7zTJsU87hsgPUWHcDxQhj+70EERvPmEEbyt8Ak9FUXhO5HwZDy24ZG7HZ2rOm7miLvzxWu8u7hZO9sZxryGBFE8oMXGPH9okTw0GSG6Ow1kPDS8Xrxdexi8KcyXvGblK7ztro48qUeuO6earLy9Q868ApPjOyOio7wIpzc88G7auw9Rt7uhZRC8vxMDvAQ+QzhmjJy70OCWu9HDBToJTPQ8cE27vLvJgzwym7y81egjPeP77zvGxEW8W4P/vGkPVrs+wmM7XWwbPOHtNLx2kbg8DviyvDtY/bynAiS8yQOAPOJDvLyjhLg45DIBuzZpgbvzBz47/w91OrgQQ7weBU477LGsPCKh3LzhmJc877i1uxH8t7sQeZs8ApqXvCcwhLyVKjW8j4WYudqh6jvAFxu76c1WO4ZewTy5MuA8STffPK2mLrwoLr87kiEYvPs7GTyZkj88o73QOj7ugjxSevW8G1OzugnmuDw8ylw8h9KVu52HDT3sy5Y8O4p/PLy1MDwu88M85KIMPEUzRrzMICM9W3zoPNXnxjzGdWk7dNfVPKijuTxOUtU8N1FBvDcSEz2r+0s8lqHYOneS1TxoCl+8B2t8u3uExTtgkEy8MzyDPHlPNbtw2dC7WS6vPA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 15
+ total_tokens: 15
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search/test_search_result_format_includes_metadata.yaml b/tests/cassettes/test_search/test_search_result_format_includes_metadata.yaml
new file mode 100644
index 00000000..2a6b1764
--- /dev/null
+++ b/tests/cassettes/test_search/test_search_result_format_includes_metadata.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '126'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Important information about machine learning algorithms.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 8
+ total_tokens: 8
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search/test_search_returns_search_result.yaml b/tests/cassettes/test_search/test_search_returns_search_result.yaml
new file mode 100644
index 00000000..76256f1c
--- /dev/null
+++ b/tests/cassettes/test_search/test_search_returns_search_result.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '133'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Machine learning models can classify images with high accuracy.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 11
+ total_tokens: 11
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search/test_search_score_types.yaml b/tests/cassettes/test_search/test_search_score_types.yaml
new file mode 100644
index 00000000..9c201dbf
--- /dev/null
+++ b/tests/cassettes/test_search/test_search_score_types.yaml
@@ -0,0 +1,242 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '159'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Machine learning algorithms are powerful tools for data analysis and pattern recognition.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 14
+ total_tokens: 14
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '158'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Deep learning neural networks can process complex datasets and identify hidden patterns.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 8SiLucWsIzxgDYQ8d/JNPOcBr7r6TGk9F43zPOMIKL2QHik8vAUSvX4cbT0p5hY8xwyHO9FXgr1ZHXi83PNzOz3k+Tx5Pcm80XDluzBv47uA3wS8fBJMPfy2IL37axg9WOn8vHAEr7y/F+i8RUU6vIM7Wzza0/48cdoPPSgNs7xXB4s8w63/O6QJpTutNq28TFK7vJlQBrxl/hk9Y1WXvPkZKDwRbIO8m649Oj2v4DwWJme8/RMOOmLYMzzs9Oe8vv3TvBX+tbwLTs47oMYoOgwy8DyJP+a8ubEMPZ5UTz05FSc8G/wfvJpxhzuOWoU74rzyu2TZaLxud1q9GEcxvHh6PLyzbR68SQSdOjL4C71nrUQ8zB9Su1yIqrz71hM9C+iavLff7Dw7Czs9Tnu7vIqpDbqFtVY8yiQAvBt3ULqM4P68syNQu3ObTjzqQxQ9Ckt8PNNa7Dxfv8G7BejouJRJPb2CzN88pBACu5b2WrxQQfG7yfsmvURHT7xZaJM8+I60u64IbbwW98q8jX1JOeaDo7tzvq+808O6O7BaFLxT3tw8AFqOvPLCLby6w4i7Zr6Qu691H7w6Gyg8xsTAPCI9xzoIdYs6rcAzujwNirw5uNu8UUE/PZYl7Dv7cK087X0DvCjpjjxZq8u7Fdb+uzqEKDwT1Zy8pKKuPEKaKbyWDHQ8aWB7vCHrJTwwIru7JSMEvYC7T7z+24G86+dbu5gUnLrZe1W8kigZO1PjHjzC4gM7PwArPFZxeztvNJo8WA9pPOK9Qr0IclE7wZxtvLAbhzy94O87tRSnPEdvA7tHjcY7fHXYPIbLxjo0Y5E8mGyKvOXhBTtUZ588qLn1O6V7iTwQwos8zHmtu2v1JTz706u4EWVgPKZlyLyYIms7jAkqu9/qlbw7zui7qb3xvDaUw7v+JSq8qULguyZDLTumn5e7Vv3BPJKLVLsOpmO97ZJJOyC8GbyEIQG9h14XvClJmjwr6ye84PJTvMf9XjoWqDE82mQCuxQPR7vQ/r48/R2FvC9+5zsMOxe7HNVDvIw4kzxaj7a8AqJduy2NwTyQc7w8TUW8u2Jpfjxn8xG8gxVpPDS/Erw2VfU7MhKYvHrbWTyzxEa8DE0wPMFnary+GqS72zIvvQz847r7Upg8OiWgvFTZIrwmRrw8ZJX6u1TBDDwniUQ7V0i5vOJF77sntsa8KQogPMM+nDz9os07FrUEvKhijjyFI8o896bCOw9/2rqIKhy8KUpivHDQzzqTbKm8lMWYPPzxVzywKsA7D11ruikhS7yvJs+7sg5Suk6smzsv2gG9t/MmO/PgV7zsNiW8Z5zFu54fzTsoJqQ7WVU3vD7cJbpnseC8Y+lIvHDKXLzEg4M7jDdJPIET7jqlN1U5lzexPIwq5LvaxsS6fgaku7I16DzCstu8Mtf0vPTeW7s2b5K8E4D1PGG0U7yIaia6GVlRvCiKtDvckPS8ULFWPDNhZrt7Xg47VO/4PADGgrzVe8c7gQqIPL0fRjzKr+e81PjRPCpnmj3ULX87xe56vPRJqjxOoIQ8xZ7JuzKZYzvaKSi8XLn9vD/g7DwVs588OvwAvZwvDbzWuwm9CTIfvA5P87vqJUS8YT/FOzj7KTs7PDo9yhaJPKWIxLuEiSi9ZVKdPJlCBTzkuOu7PKl2POCQKDxotUM9DwvCvPl6YDtsF+Q6db+nvP/7fr10spm6RNHnvMMzmjxwHTC89bRXvfy9ozy8p+07+f20PIR8Ej1xnwM9YmaLPGFd5jyds/y8sWwfu3RUDLwcy4u8UPN2PCqnhDxowZ+6b/vMO142MTyU0gY79/zZvAS/KjxswyK8x10aPLZq7TzlOrC8CRAGvZuSGb2uHRy9qtHHuybEb7uRBA08pTQuPCJy+ztWlli84/6dvNu2gzxrO229lViYvK+zNLzZ+EI8gb/hPISA07w+IBW9OGkuvNv0tTyvUdO7t/Z2vIQLnDw8OZm8zZJJPGa/XzyxFCK8mdxEvPHelDx/6JS7NDCQvDNc2btGkBA8XRcYO+s8j7zJsd+6v4+rvCUxMzzq+Ri7uzDMO25OgDwLRSE8hkuAO7mnvDy8iYi7Q8SYuxtdy7yRdKM7soMKPIfS1jwSPb+6owBVvc72przIq027DoVEOzpzZL39n6Y79QNSvHUY57qhHAI9VSuMOo9LLbvga848EvBmPNc8bjxXjIy8j52evIHLqryv57k8+SHzvAwjkjxp4mU8wbIhvFa/qLzPqRI82EqXPK1qAz0uXNA81wlyu4ssGj2hmli8llj1vESwWTzLzGU8Z80qPcXbizz6on08oUszPBNAmLpgZAO6Je9Eu0mNrbxaQna80kf8OXddujymKMk8ksx7vQ3UKryS6X28W23fOxnB4DwpWzS9efdsOYWL1juF3148ZgEpulK4ubwEhGE9uRuYOo2ZLj23TNW7XnWzO05kxb2p/Fi6goAoPeFEZTypbLy8X6/avBwVvbuXL6+7fYARu98T47uoUKK739OPOh69jLylYZE8H2S2Ox0KwjzO3RC8GgVYPEbvJjxC8fC8/sM4vFXGRTsYs0c8IISoPBoK67txDMQ8g5pTu+1rkjw6tSk73jcivLunAT2zebI6IfyMuxoJ5by2H8O82B+JPFewDjyCvRW7R3MYu3914buNW4Q7efvJvK7Y4rk6n1a7l/esvLNE7Tv3T+M8tY/0u//AKLxWCNw8OF7QO92WGzzsnES77WtvvR9sojw9RrO7bVMBO1nlkbyKsLA8L0AVvM0ygjrl57q8bRfxvLRnCDvXI528hNP3PKC/Vj28ZhM8ePjCuytsbLv3ohO9wl+hPJHSDbz4LwC8ncOIPOUoszw0FjM6x5YnvAoXaDwfc6S88g8nOxjQEjxCgZE70vg6PA8BarzcGiC72ZWvuhTjebzy3/W8A2PEvK2RojzIQFu76IU1uw5QBL2uGn68kQcSPP5a0TyNf/Y86dEtPVj9JrysBxu8ACCUuTppbzvd7Xs7V3ksPDwTH7uaLtG8RI9DPFYBoru+vpE8KTicu0dmh7y9F7g8hrOqOscLxTz8iyI9G3q1OwF8ojzLRES8T9wTvC2V/jssnxg8pCu/POJeEr37//w8TQC0u14nZjyPtT081xfcO5GAcrw9Z468AA5GPIYKd7yINDY87I+gO+oaCL09Aos8KMJ6PEluxrxI91m8utIUPM7WQ7z5LT28BKvdOwSahzvonZo8gMiuPGFnxTzcXN68QS6rPOA67rqmXFO879liPMPo2TvuRUE88ZbLvP/nGLsXnO+8wAdePQdv07t2irs79xZBu4SfsrwBEuC8Qg2yPFCXZrwvkXG8OnCju11y0LyLsYe5Qtmbu6VdZzuN/Ek9M2JQPBOF9rwu4+O87l65vA3MSjw0gK+851qwO4F0LTyrzDY8OOisPBVaibxNeRs8XZQFvNCLgrzWlwQ8aX50vAluZLolXAO70BgrPZ5BWr2z1QM6R0sGPPGzl7y0pI08gjAwPE5WBTzUKDI8OM9jPC+eIr2KQaS6Zl4aPQVm9DuR0/87jGNJvfnQnLzati891MuivAM3uLwf7WQ8aIg7PeMVM7vdfSe73ElCvGC0UzzXGgQ8k9WrPCiDlbsRzxU8mLXYPFnC7TqaFl28fHGqOWRutjqObwO9Oc3SPK8+czzp3p08ux3sO+0sRTx/Ma67p1fcPMyNrzy6Vm474u43uwR2IrwV1tW8OUEavVHSrbzYnYE8pxo/PNvnibrPMga9Y2b9PLy6qjuASmq8Ra0JPYIYFzyYE927XlwDvIKYoL2Pq2W8sa8CvQPPgzwOFCq9E2yIvHZsR7zMPXY72uXXO8yrJbzuHD69DKO9vEtNKzwDgq+7t34QveE0mbxQO2C8/q5wPb9Nyzzeo3O8q195PK0JNLszoYS80Z61vN5SdDybWWQ8JNqpPMjke7yUT5U8JXQuveGVRrzS0mc7JOxqvFvG1TpB5Cm9mX97u4z3Gbwe0ca7d4yyu6TowzzFIoK83BdJvXPCzroyXpm6i5rSOwUOE7tTRzQ8UZupvDmrJr0iLhu804fNPFPQMLyAI6q8hMGtO724LT1/YAa87nlPvHuaUDx1CXG84QYZPZ3TNToyIVu8Hnq/PEnbELzD1Be9iA9pvHBo+zzMpDY5E6BxvGo0urwPogM8a/0pOpYYJDz3lra886oUvbk8trvVgyw8/Pihu3dekTv1Gak87YSFOI/78rwUEgE8UxmavNLHIT2fTjg7bzABvVFMMr1JZOM8xOBpvETo6byyokw8BenTvL+9HT09ZWQ8CgQ2OnPUCLw4Ocg8ZwpAPFGUlLxbvPw7YWdIOx6DZzxSI2g8+DS7PLO0rbxw9eK547qRPGJGajxgCTw84Nfuu2uCBDyBT7081TxaOwZxMj1cJJI70psqOzTVtbpr6Ky8WhTgPJn9D7zRVw283kyHvNLXOLwi4Qg9QYNJvY8Ru7zevNi7C+vUu1nMl7w999c8Oe33vMoGjDx0bhI8BTjbuxAO8jz7hy28nhU/vFgTsjyyVm89UbJ+vHzBCD3zudk8VH0Buza3sjx9YGc6RoeTvDaDWTwK8HY85vQxvVHK5ruLdye8t76JPJXNibzIjaS77+lcvZGBMjzeQQ69y/aVPLa/vzyoHBo985yeu/ESAj1Ndwu88UAfu8WlRrwVCNs7KU1AuopgmzwdJ/G7vB4CPY6/sTzwFAa8SmxNPex4xbtr1C07dgIIu6pxrrs489q8xdPTPME6w7zuNf08++biPC9yE7wzhVe8XbrMvFSZjDsNtqU8nvIovOaCCjtTPQu86NT5PEsyrjxh25Y7FiJ5PEWAx7oVOgQ8Du+BupUa9ryJt3m8ewVyO/IRDjsMbpm8qZwOvH7dRzzNFrY8iBzwvP95nTtVtci7HFyKvNGAQboQQpi6QyUbPcsyV7zhwry8ehXTPD+SY72FoNA8KjKAu8zmwTyRoYK8akZQPHhQmLwk93M7qGPIPKMUv7wMq688oLWju6pAoLw9QCs99zTnuoB9hj3Zn+g7JchyO+HFi7ygndk8ZxvsPM79MjxPVo+7mT6GuyG3y7s7BhQ89waAvB/f17g8Mvk7N/cIvJViQTus5pw8GQmfvAI86LtTk2i7GSbAPOhglTzJIhg89ITDPIk5jLyHoCe83ojuu+3sOb1yBde7KuRjvPCsADzQmCc8VrorPC7Ypbvzpdk8NwwIPdC6uTq+IaK7tRGSu2fmZz2kzaw6fwmnvOrHKb0b6JG7SFKpPKIHWbwqWJK8pUEFOCRYoTvIVJ47AUqAPBZHjzzN8QU8UECovLzjKz3EBiY9hQq1u+zhvLwYUnM8WJ8bPHTWw7oLF5q72x/FvCflKzxFPPS7W01avA4kKb30v3k8NUnlPIgNHrwBpjk9q1nmvH12Izu/PJm8OVD/O7xAwzsDJ1I8mPhJu69dGT39/hG87ikOvFWsxTz59P67d83SO9x7hTy7eaG84X5HO3xZsDzvyuy6zopyvGrcVDvPhyU9/H0MvT2uyLune4S8FbgPPNkA5ryoEse8ZLPEPArKCTzSqhS8F46GvNWEArw3e1g79PskO0m4yrvvXtE8lrbtO7j6VzyEZTY7j4GvPATaRLzizww9HtSEPNPQ8TxdWG6812iBPPltljwupUk8mfv1PDeiFbuxVCG9nWeJvEtL0zqpgeu882i+OxvTyjz0iq689vMavLw3HDn0cZg8S0p8Oxbyu7zb8Me8UM+MvLH9Jjx/9YI8+NWPOkQSrLkA2Qa8lIp7vIvxxLwKZYK8HKNUPIlu6TmuGqO78Ls6vBLCKzxHwe88/wk+vGlXOjsGaRQ9i+03vYIhH7zAbss8VABAvfQ/N72zHke80gsKvZAWNLxKK+U8FGFoulHNb7wX8w67B6syPBbUajy3cQU8BmyUvDmxvTy3VUA8H7UdPZ8DYbxPWn+7z8YtvZ7SvDu8UsO8/77qvIh8Hj0NpdI8erSIvFd2BTzrnpy8z0HRvHlVvzxciRs9vzXpu8GnpjxGwGG8OW+LPLHLPDyhIh+8fpQbPR06Aj0FQ527fb81PHwUBD3x9YO8pTNmum1brDvJ2xa8aMOsvJkJgjy+G8m7R8SUvP1r9Tz0nvq7eD1RO79v7rzhTFk7L06OPPwDlTxg7aA83ycIPVMGcTzyPgM9GZjRO+nEnDzGlqe7gPWDPB+51DxImDo9FZpxvBSzHjwtHR68XeGkvH96WTwvnzY8NS6kvNEMJr3+jhS9mCByPNDkfrsMczg8JRBvPJKH7Dpx6pk8moOBPIQIqjsda66899vbPHQ5KzyMwmc88DpqPKpEAzzBxR89Br4ivMqulzvnnR8919eSvA8AnDyaSyy851gQPGKZD71t5yW8hdzavEoY+7yJch69FIesut1qsrwMroG85czIO0xmyjzhPBQ90CbqvHwb+jt4/rm8uIamPDiwjDslZtY7bM0ZPDRABTsd9oW8Aa9pvCApqDzJmVK753+MPBx5/bzItw68oRMpPHLTmLym3oq8Ft8qO1Z6JruTIv68GegAPF+vjrwdUbk69pt1O8x7rTyaeBE8nXHaPLvBzjszwZs8YE9dvOTELry//Uo8KpWUvJtE+7ytkmC8TWGJuxtvMDztI2A9C/I5O5fTgrwgbtQ8+x1KPC4lGTxptBm9hYW3PBb5grp+IGK8G0KTOywQM7t1U5279NNuPCziC72rnwk9I13IvPJaiLzOHIo8OO2ZODRIFTyFeAO8D81GvBsXSzzhBGe8iwWrOVS9Kz3+PTo8qKyhu7mc3LtTUv68k2AXPKCpkjvXipe8UKzCularmbnCsa07fkW4vHiKFDy9rdo8HVdgPAw5Z7y5ERI7RX32PE/Ml7yaZ4K8bhSsPLVUFjvdJU+9wq3Iu6bO1ruCEoW6Vn/yPBL/nbslO1E8buMWvfd1r7z38AE7uMBjPPVK2DwoFJ27O02XvBGtXTyq6SC8oMRnPONakzy7MMc8zte+vFhRxru2Qbe61UO4PO1nDzvpDeS8JFHvugHIQ73hJQs8NsFePD/IA7tL1Ds80emzPFEi+zuFbCe8q9HSvC5q/rwzu568laABvZT41rtrjtw8Oj5/uuqxhLm49CG72SI3vPvQoTwH7Y07/fclPQPUZLu+TrC4JKG0vIZ6+rwUry68qTCKvC6cLDzfWv664yjhO7MjdDvUodK84LQyvB8FrjwyhsG7FIeDO5gjID31TAC8ihGtu+Wb0Dt2/AK8r52YvN/kUztao4q8OUEzPashmTyZ26W8vAXLu/aqhzznEms7MsGCPCpBsTzjp7k8EpByPf2lRrtm08q8zn4iPfk0kTshBwI7oZAEPdC4oDvcV9y7yDaHuxar2ruC3sY8QBFiPGryrDiGj6Y8fUHxvEEnvTzo6q086HAQPfe6SrvzvCi5iGwyvLJgwTylkIU7WxXcu6oK3DyzOqQ7OvssPJrxVzw/cB47XOn7u3HoVrwUW3s8F3bHvHo2o7xMU4Q8L2cSPfriJby/k2S7Np5guxt+1jyjck+8xXALvLf6dLyUSCe8h6cSvOr0ZbyEkbg58R9IvHpqtjzUi568JCrwO+dn5LoqXx27tbUMvXoqjbzXhte7NZRsvBQstLsg+lC8JKAGvM7NHryjYMu8ZLewOxJG0Tw7mzE8xqfyPA6QBD0j0L48xZHjvIAg4bybHTo9vitgPG9/0rxQG4Y8zPSouyNkNzzdZFg7fMndPN/9jbwFUhq9NPgVPQ6Jszzn1bI72E/bPLkfnLvyKXG78TiluPEHYjw4SpI78LOfPEkzlbs0y4s8tZYNPVjHC709hfu8CYWQvJaVZjt3bgu8uwHBvHEKcDsalCq89uKXPDVdCrvLNtK7FVr3PKq9vbuKuVY7CAsSvZqJR7ryVts817ikPCftsTzhx9S8csN9PKO1w7ytFZW8S0VKPPZwL7uqNJk56bZFvMnvmzx3ArM6Y82ZPJlbDL07aa28eDztvMiaH7pKEbu8k+YBPRJo8rv68007171lPC5OEjzCmR48YQHeuyrp3jsMJL67dOLcO1HNIbxH/6O74FerPEf8HDsMg8g7lCZXPLYb5bvRuv46VRAKvBFpvLxUpbe7395/uwdA/LxB/n67tufQO6c2v7t7SMU59nXIOxyVO7xvAKe7v7KePHMgGDvCn6W8gHaEvLPczzr2QRq6F8nJvPr+jTxvmbE8JcFxvP9cuDqAZ5W7C0PhPNRcmry7WPy7vNTBugwNADzrFTQ8z2Y0PHzXOD1a5G08qADYO87ORDsknaa8PpPKvOXUHT0rL+U8/lWUPJDfgDyruyQ9SmaOvDnwBD2T6qW82RDmOxBU3bzGJqm7Jwk0vK309btEOQu9+tp6vN5Sz7wK8n08d/oaPG42mzzx8kO8umJMvEskfjyRN9I6rCooO+pdczyxy1o6ojtgPFhBnzy6aQ68uF1IvDWZAbyPw6E7qmFuPPnp6TuppSc8MRhMPDdEtDr62no8R9iWPCkx0LvbLA+8whtLvGcteDziJ5I87B8dPcujcjzYqH+78mTWO4FdqDtm/0m8fiFJvGD24bs8L8m8OwPIu2A6TLweLlW6DNaEPJO3LLug4B08vNLTO4d0tryFU8k8SAylPKsy8LyCFPA8V7E+O2Yzqjw75vW8hRs5vFrYyLu8WSk9EaCXvP2Ix7yT7gs8txqAPNh/4DwZ9DS8fzA8PLtBFrx3xj+9HXElvJFU87v8+948mOaYu0uxfbyUJK48zzgUPEogkjwmLxy9WCcyu8auBzxnRvQ7vdwBPdduojsWqWk8+hnoPNlRgrySv/Q8iCV8PAUM2Dv5nZE88akRu8eMJTxtrnM6O7hFPPcz0jpFPJy8fxnYPJDVEztj1pu8QinCu/wsqDz7LjK87SM+vAdKcLxRdwu7VeEmvattBD2Ivs482qdnu83ApbyrWk685xKqPCYabrygrFC6clxsPMAFrbwsMhC7UkMbPUWlf7z48Yi6gTS0vC4xtDyfzoA8H6wSPQTcuruRQgM9lINauwKfpDyBaa88R1IXvJxskzwLqh27qF6ZPCzflzwOvSM8dGyQPMUggjvXl5K8s8h/PE3K07zpHYc7djN1vByOijx72Oe7L1S3vHQDlDwaLu67dKmfvLXG3LyMbtM7vMxcPFiZqztmX5s8pv7fvB4eYDzNmTe8YaTBvFxoHjzsKOE8K2jxPKIAsDxUpMk7w+jGO34Z1zxwqS48W0l3OpOSeTw2GUO8woWUPKon8bwNyrm8ijkZvMm4jzw8g768FoBLvHzvtDv4lam8GhP2vE1sYDxecC68tshAPCF6rDx8c1c8OQGVuyB29DuWUmc8o2sfvNXxhDw9Hay88htQO9zM37xxMZm8Slimu31MNrykASq8EVHtvCAC7rwxGAq9ZZ4PPA0iMDzIXJS8XwTXu43rqTsJQNA7XoKsvEnYyTylE4O73WnZPPjJrLu+Acw7IRcvPEhknDsNL3G5+qYxvO+/PLoiW8i86cccveKL0brrGsw8IoUGvIbv6jsKKRa8ub0kPIlcd7trMem8XX8FPZ8fajsQsjc8DicEPMEtwDzj/8K8JzodPUxtjLtpM6A8LOIHOjZ7BrzlYxC8AixUuVg0zzw9RpI7Ba78u8EQhLinAKi8RoSbvEuitLtGSCC64wGquliPgbxPnrY7GfoQPMdZVrwXPPU8dosyvJPcqrwHHNc7bR35uwQXA73cmxE8yOApvMywhDwsxlW8qmnAO/PojjzgjUA8xEA9vJGzZjwC1Rq9pThFvcQ1irxZJKW3rIWjvLdZhbxvIzs7m9T+vKHE0DxCTMU796pNu23v77vTM+o7t6PLvLndk7y9I2Q748sVvAxkmTzSMie8qN+nvKIEGL0HI2a8hZySO9+bZzzog7W83BLvPL5WB71ln/a7AXkLPIHJrLyhMA+8Q/euPAH6gryigIY8EsuSPOy2MbwZP0S9y56zvB1MvruPAke8vW/JvF0Tnrw+oea7SAK5PPcwbDw6Lgw9xKGBPMkwsLryxJg8OlgmPPLuJLyWG287MVJHPMt3zDtnmhA8vTIaPWdSXTvxE1y8q2RMPMPLwzx5hFc8+5S1PBPoIby4TFY88bEBveyhjjsgIUS8VV7BPINsVLyfRwK8pZ4wvcNz2DwOCd850xGsPDXXsbxs1SW95QbJu6CUJrra+tY8UaOWO81WL7s3VEk9YdEKvPKRKD2NBrI7T0TCvCDJszzpX6K8IEmAu6E5+TspPoA8YXXfO0HUh7oJuNM8EJgAvBhVMryhZmq7kG5OPIqNpLtv4dS71NMqPT+RgjoItWY8vhsEvd2E/Dt11As8Y7mrPAxMFb2Bkf280LYDPe6rS7xVOq+6K1GKOwBllLwBkLQ8wF/QuTD70jytiMw7jji9PPC3hLyqgKe8YK7lPK58pDzA4S88EKZuulIuEL3XC++7Tx4DPRmEyzyhbOs8biTTvFgvdryKCwG94wcAPSP13TxUEzG9yP28PKBQcjydR7s7SltivEu7rTt+I6Y7A4WEPKG38LuLNaa8tTeNvHf0zDsnNR69HWa8PK7ww7wW09u8ViVzPL+Tbjxsd9K8zMLhPPgaYr1Trsi7b2i+POGFqjwJuhg8hd0PvApy97sKlia72C2ovLWB5jwWbqY8NMOLvI3pj7tl3qe86GsQPIXfxDs9WIY8P8Uvu+8+Cr1l8Ci98oV2vAynlbyiL7O8oCJcuhkRW7yafGI8RkeMOlH5Hr2C4bA7sBVOvKQtKrzMDb87Cpw/vZkBHDzfxqO8h4fSvGZx5DyGR1Y82WgsvJpV8TyapQG8cGIou53sqLqx+Q+9JyKTu77UUDzj3hw7XKYOPTaY3rshci69+LEivEbmgjy9uCk7/2P0vDo+czsswkQ7Ruumuz5shDz9ayk8yTqpPHPMLL30coY8mpKcO+XNpDuNg+E7pr3QvLkkBTzZfEc8OitUPIT6UDwEJY08QkVAPICLKzwAthi9RxM4PQQsCDxzPBu9xlJ8vOvJT7tSi4I8WLZ4PJ4uNTwc5K+8wne4vJE1DL1xvWa9rW1iO6mIkLyPMWM8t5+zPDdsVbsPTDS9nJ/Ju59nG73lbsm84OFLuXqsczyeyLq8/ddNvD+ndjwLKVY7wYu9u9IxxLyvR4i8MQq9PL0Sj7sTj4U8M3j8PAVDWTwTL487Yv+VugjW7Dt60+a85zNCPD/Dp7y1bOo7UCFvPCqRCjynMxS8YhEDPBA3TTs7w9a77ZEMvPFsDzmo2I682OVeu/lqS7xoiva7K3ASu0FBIbyPi9m899CNu9y+x7r9jpY8lR8TPNcrQjwwQBc9CyuTu4s9UjsE1j+8HHOTvOe6DDyU8aK80DXTuzS0gbxiil48YhnZO2TnVrsTcCe9M80Zu7n7JjwGNhi9ul+APMsWb7vNH4G8QMELPaEslzxIEpc5P+WQPAZdMz1suOU8YA4vPPLMo7voJIk898jGPI4iC721mDy8h6jQOzlbkbyNkg088ZFTuyq5QDua7M88D7fmuw5pnTxq1cu72yNKvG4SOTxudqq8/UNqPLt+iLyu3/U712bWvAR6Gbuz6PG8qnzSu0T7NzxRO3M8Ak8svayY/LsBUci7WDIfPHo78DvQn767zz4HPDaUNbxe15Y7FXCSO/BcALy4WSS88lapPKTa8DwkQGo8vyjcPLq7d7zUTKw8ylLyuwydtbzDqkA7mqeEPIIvprxN9Yk6wlDxPKDExLyLg8O8DMAJvS0MvTwP4Ri8NzerPJfO4juX7IS9+qDkPBIxgTwNthC9PUWjvE0Thr0VqGU98NkUvZn6DTwkHUe8jUKjvGcHKTzfd5a7p/hKPcdlrDtxnrO74ybeO6kB37uf5AA8uwaFPFA0GzxXPqe75JEevKtvzjsKVou8ikE9PO8sAL3qMOI8YNbluiBRCbr/oD+7YAlBvIYbATwrMV275uRIOWsBDb2ZmEm8foPluDZ8dLwHtTu8n9jKPCfgTbyCahk9qoYRvFs3mDyDoH67YXIMvPw0srvu38I81XPqvIMpTbz0SjI8A/LuO7ftXDwgqIq8X1KJOw/ICDuv1ZC8AzCjPPHZgbwJDOa8kvdZPIGlFzx7TQy8QktUvK59ATuKDQy9T2OrPFYsujzPHti6dvVGPGy2gDyVmJ48da0KPXRdhTwg0Tu8Br3NuYxT97xGiSu8vmCovNDFALwy9Vc7YuyiPLiB6ToUtHU9/OogvIiSmDuDfSk8hoAJPAZc1zvvpYC75mqnOlUy3zwJeUI7Tk81OxKS2TsXdWG8S62EPH8VNz35KsU7UVaGuujJGTw4t4m7lt+au13k0Txo4xM65TAWOzErJL0NSCw8Y32OO3Zfhjz3W8E8R+XOvH0zxLz2SIo7NiKXOsvdWDxMiau8trz1vOwX0Tx8ttk7pxkLO4zKIjy+zUu8uWXNvBnDgbw511+7rj0LvCDKLD2Yh6M8tksKOok1qDzmFfE8GxoYPYziyTtueC+7hYYXvIiabbxv+7A74whSPIlWfjyWoCa9Jo3QuwXuljxwWym8DW6jO8CqRbxhRz28peD/vOZobbybL2e8uiXOPEUBGjtzlP68KO5NPI8g5jvbTs88olUAvXc6BDwoWte8nd4qPbg437us9Ig8xxQ2PMlqoTzapIm8gE0GPY0SSLxkJSk8V9+ZOy42xrsy/Yg8e9doPOmHjjzDZvY8aFywvP6dADyUDjw8qyzfvLUXrTyjcti7g6oHvFkW8DzEack7SRGfPKKDj7yzT8g8FuH2PCqmGLw8UlC8PZAGvJeqFTxiOz88ZvqAPBVJorzaoa08Wn5EvJJGPjx4byW8IAu7vEsbMz3SZ6u5ED+GPIE6Rjx4UHW8mJQ7vOD0ALzY1Ac8SSOFPI23Y7z6YGg6Q3HouxyB67sFPgg9UVA9u4r0rLz4eew88gydPPQrFr2MwUO8zIUtvO+1pby81xu95ebNu3tso7xXlOQ8MSyUvACokzs6eF08/W5dPMpsOLvEfJG6vXMIPE0eGLzQjwA9rn1kPUZ1mzw7gli8sO5YvN8heTzzv4A7ANzbO8cCzzyKvKU8bw+SO931FTsqBSW8a6BbO2hmb7sufAm8NWExPHs40zxzEui77K86u051YDltG3u8vKsnPJq9vTvjvxE95x98PJiYFrqI6Em7zngVvDzpO7tIiF88rIKMuyzdiTyu9i68FsnKPMIhJLwPntK7xPGrvCwXlbt5FCS8O8Guu/twujhekam6b+TwvGfvPrwnJaY8377Uuyr8RryY5nq8Bk2ru2bIkryPFoA8axY+vHz/mryMXjQ8Lfo9PE6ANLwH0y08827qPCp9+bxJqKM8XlcBPIPl5rxwtFI7W+FxvJK8OTyzd8C8/Mcjui66ujqy5Le8F4+qPGYLrDuAQgM9A27/vKYPjzm32FU7O6vRvOSWzLoEZXW8JZsfPG0zfbyZ1xm9F+NIvNFEnDxptfk709KRu/xe17tYQ787wcmgOfED9jyb8fE7lz80vApeVLw6tng8ftZwu2ppIb3xSqA7SouZuz8mmjuBTNW843dwPB0lZTuz4346BzcKvBEE5buoHYS85EQHvAJmpTy3Oy+7ZvRjPNHz7jpUav67d0y6u8B3lDyz2Kw8Fah/vCwp8LsrxpG7J0m+Ow==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 14
+ total_tokens: 14
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '154'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Natural language processing enables computers to understand and generate human text.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 2JwDuSyC4jxvg5o8PTPcPBOyaLrLxis9BPtUPYcaIL0+vyM8ZuE7vN+ooj1iKs88uCwqO66LI73KNns8x8wjvXL1QT3fKwy8JwdevNEsFrwYID28ORuJu7pTgDzBnv08I6ruvNOC9rqlSp28yoV9vQJSoDx49oo87IFiPeGwmLy2P1w8l8wkuximuzsdK9O8AUjROlr0MLx1PXg9IpSQvPs6sjy7Nby8zE+yPNWw7TyRWQI9vgy0u0EJFDzUNG+5PUWsvMjvobzLSEE6rmuMOwSOrzzJ2wS93CYfPfnVmTzgOsW89oKdu32V+jwLPl08OTm7u7YEFrtvRBe9gDbruyEB+7smhoi88ELcPJ0Ttrtss345fQNyvHNOrDu7sF09n+tevNUk5Tm7Yo68PBOqvB+I/7l4stU7yPDFvO7eJjzTzdG8SWGnu4J7ILt5sJw8Ra9GPCxx+Dy3ibU8Qrmdu8BJzLwvzPu7rWq9u4z/BTyjjnC8HpysO8tgQ7yFb6I7BXSlvGrgo7zplma8SrWFO9g5VzwA9Xa8MuXtPPqC27vXTtC72LuXuz3D0rzoAG27eQFoO0IypLtb3jk85/vLO3KOODzQdJA8k4UxvKT9qLyeQie8T38+PdNJnDwao0o9GQNAvCPSEz2ce4Y63lm8vDfmmDzQ07i8emHIOzpmh7tgJkI8M8p5vJPmMbzFYeq7Haazu5PLj7wRn9q7gCLvOo/VmzuBwtC7Sh2ru9Lyz7o1VYo7tO2NO+1YKTvrHCk8tXePO0MeBL3kISK8GLm0O1EsxTwSVc471LeEPJytlrwRnwE83C+TOgiwETt4Zag8doRIOywdBTz2Hsw73GM8PLWqmjyI2my7WaDyOsOeFj3+Jcq6FXVkPGjwRL2GORM8lR/rO/RU+Lyijoy8xkeUutIXGbyJhBS8dD6gu3+LBrx4QcC8O47Eutf5jrpvhE68gixjO060CLw35QG9o1f9OwxaMTy80fK7KgNVvJZfIzwRiWY8ITVXPO7ZK7xwnSQ98M64Oq6ZgDwVvhW8fRKuvB8D4LvelCy9KxmePIMRizxI8908h6jJu7OlGr0je6G8uk+RuuTYnjseagM8v1O2vO5Z5zztn/+7CjlsPDB6Fr3oRgw8QEDVvHyh37vz9Z08jtLavOhACrzPL5w8EAryPOkv8TukLhs7DpevvNTUDzwJUD68IZtnPAbnD7y8CqI7xbNqu6YEpDx6kOU8gkCRO4T92rocfbm84upTvDaKj7vdIvM8Cv8APLVCzzzmKki7In+jO95Va7wHAnG8aveGPNWujzuJgC+8rxm0t4DAk7z8HE28lg4+vOa+MzyaENE67HX4u/tkULwnsD28TeqDulnQHbzarNy7KCD5OxnYujyNPmi8JxFVunMeGTuqYWS7SfL+uyBxozrLI0c8QPvtvA41c7vADKi8j834PBK7MLva+466na4XOl1WX7sNDvK8wd+Ru/+yRju4GZW7iFwTPcBzu7vxZYA8gVCmvNQPLjtEb4e87HjdPCF4bT0GHNq7ZWmxvFPoMjxB5YU7lMYWvafQpDxxMp+8ZbD7vA6qHz2MbWw8KpdRvFa/0zkXuW68vMVcvBXCsbtYUPG7JpKlvGtNyLhviho9k54fuxLeazpP4Ye84JsMPCrKbbyJl6C7gkiNPGVL1DvodAc9abxHvG7AxDnCjOO69NmqvAnTTb05Axi8tS8evYUxpLzYbIK8BQmwvZOmybs00H47bBKKPF9H3LpH/YC84Z1lPC2t1jzAXvi8VGqNvFIsojwPVS28kfQiuh2ZljyrfKc802NRO9X07TusuFI8UkJ9umg2hrxfCaY7PVTmO9HdgDxW07c6QdryvJXIGL3CPtK8LY2BvHHKCr2Hvpa8+I+suq4aEj3IULW89ZwBvHwfWjwdCte8WhurvNwjezmsEVg8IfxZOwjoqTq7ggq6U5P9vHmOBDwgQMq7U/YJu2WkKbuzodu8+ORuPOlxirzD3kq8qG0/vPYYXrzgrAK88n24vFK5q7wxcOw7e/KHO0Z4n7yywL87y9sDvYhZlzzJC1i7AfsMve6XjrxwmpU8Pln0u77HezxpEJ87zBhqPCLUIbzaZXg9KeYOPI94dDxfQBY7ytE0vcA85rtX3+e81lZsvF7EyrxUyYG7Ic4kvVUnSbvPCb481R62vCBiSrslVFU7qbcuvPL9HTpfXJW6FXlaPB1OQLwsSxA9tCIlu5RhUDxGRoC8hzvevMFl+btMTAI76cPQOzkDXzyobyY70GKXO17MDTuFy5q8V+TCvK6TjLsckOA6skbEPCJ1Fz0H3RW6jT3mPAAJErydXYi7X/llOADIb7xkrAM8oFNmvISKAzuF1BQ92qiAvUl7fTzT1Rs8FGbuuZvQDj1/k0C9s7GrvN3uijy840W8gfx1uZ+4q7x4LSg9gDc4vKBK9Dqlkzy8bmPoux/E070zCJ08nI9APNKMO7tmQ7G7L0nxvP2gbbyPlTe81ugivPInHb1kcaG8A6xIvPxb5LsTBR090mq+PPBK1jzJtEK8eQBuvCN86bvIGc+7e7hlvDBI8zw13W87DaYtPLB1IjyxGCM841ufPFOMejonh7m8RcXrvD29XTwtRzi9qSbrvFLbk7zG06I6qLCRO6y0jTwQ/bs8YtRfvGkz+LthTAe7+sHtvLy42zyKA8c7fQkevbOz1jweLiU6KKjmO7emHryBF1m7OECQOwhgAj2f9FS8yHvzvAsZUDwEDNO8GR5UPLsslrxgqOs7U5YOvLPlHrxtyxS8hu0lu3ndxjppdZy8XjAlPYtnpjyRFcu87tLdvEx9pTysGx299ioKPWMssTwWaCc81FgqvW0cezxRnBK8jKcxPWu8hztSLzy7xuMRvFLr+Ls6grA7sngdvMWDh7st71K7U7bAvEETNbzJLbA6UB6evDHkjLxhogE83mXFu8LO6Lr1Rrg7kraAOwFG7jtt/y09mFE3PVVwFLyypmi8rhyaPObF3jmcCJA55YwdPNYWRTzizqK7R3cTPdOc1bvTvgy7AZxZvHqoJ7yDgJG7eAeRu6f4v7uOX6A7DpGqvPGlt7uNRey8EYMbvLvnfzz9SIy8U8yGO15HKb3+ncM8HoQ2u73DBb39Y7s8jP2iPB/uwbyGjpm80T91vESnyjvPpcI7dxumPIQH1byxFfS8/M3ruizl27zlExK9974SPdo9AL2Qsyc81YJkvJyoPjwxRyg83uBHPKxGqDzA7GG8L4eqO6VNp7zC93M7EQR+PPzZhzz7pjY8hy4PvFd7fzvxqS685aXMOwN+FbxOBpm8BA0gPAmcIr3eKYi8flw1PCP6N709zsS7v91bPGC3N7wlc3A6Q4Hru3cj37zyfSw9CWeLu4c6Er28ml27z9EKvejkCzyhqZO8Tz41vEYmBD1v24s89KRHPN3t4Du9+Ea73ZcsPAtl/ryVLvi8c843vXJzHz0IjxI8R6MXPB54Gr3ULD88xFzPO8nFbzzKNxI8m7heuwbtAD3Tr6g87R0yPH6+8jufOKy8zt6YPNu+Xjr5QGc881FevSYevruFElc9I2TYu/RZYzztBY88rNdhPADukjxznaA7tJsmvZqUCD2Rjgc9KwqfPHGQL7yjIpk8PtfrPNItBLoK6RA8k3UyPLAeHT22fBC9z7X8OdD61Ds8R9o8igHCvJ68TLpF43M7aqcEPZPewjzCD2w7h9sQuSQI2DuehAK9mLv2vOBgmLxp0vS5Tth/PC+eNby6M6y7WiktPOoVfrpCW3k7Z2rKPDhvgjz6Zam8laLwu82zQL0C1bC8gMOIvGhwWjtb0gG9IFievAoaVbx894g80e4VPA198bwVJ4G8UKfXvDc6mDuuXMY7I6KqPHmHK7xWPp+8KnEmPamtGrvfIlY8+HQ6vGftijwlVlS8f2PUu9t3kjw5jWM8y15DvF1IDTyxF3M8+ldzvM/SGzylHQM8tSC3u+CiWDyVtuy8UjbivNw8hboEuoC7Z5VtvFRWmjwC65S8FhbNvMasFTwdCoU84ZntPEHeyzvuQJY86jRKPGagCL1a81m8Y0EoPNHvmLwJedS84HmNPCM9Jz0T1Yk8Mo/ZvMn29Ts59bS8S/fZPFwUuLzVl0E8p1UNPJ/tCryei6u8QjkWvd76i7y3VQy8MdaWvHXNAL0yRUs8Fx/kvOxDvLrI+bE8ddXUujrb37y1zW+8iLyLPIvG4DwlKYc8ZgYeO59WWLz11fs86J+OOwHANDy30HA9T9EwvUXSOzt0JOm7gyaOOx0At7zcSJ+68ji5unjknzxy5x88vbEzveiHzzwv7m27InsBPezZtLx1CZA8hEOjvKX2fjy6Bhy8y6gPPY7RBr1Eu5m7BFc2PSH4oDxlVGW7R/e5PMIMJrxU85470DHvvBv41TylIwq7v6f1OhG7Yrz+RAC8nQ00vHQMF7zV6v67JTazPMz1pbxsbd88HZOAvElRB70S1Ki4YSGbPK4ForsXf9u74Q+lvHbj+TsESJ07T1DiO1TtjTxADQQ8vVbhvHMHCj1+rm89mfB7PPLh9DwJ61Q9bsgkPOlaQD3db2g6oK6EPEcYBLyceR0947JzveuTBbwUvoK8HemhPCUARbyirtk8k2qjvIg2ljw1eEG94p5TPNnWQTzKutg8kLqxvLPegzxFfEM8lYLMuyVKuLz3XIK8AkdqPB95TTwI8/68a1wxPWxn0jvLfgC9Io+JPHAi3DpKtOW7Z6dEvOnGFDymFiS9J5c9PI217rwuIyE84JFsvMjpAr1M75U5nVywvIMi3Dx7LpC8I7BUvKPgkjrgcP26NQxOPWhcOT2e/ak8PJgyvKyntLxQY4i7B1/ROyKHmrzqO6u824fbOy9lDTvA9QO8CovQu4v0vTyCcwg924GbvFL7irzjCBQ8/KMwuk74uLta3lG8fbDzPFyrHbzaBUO7cUPhO1EiXr3bzpu7+wt3vPT2UTwsJd07ICUCvKjhdDzrQ4G8m0mXPHOFhjzkF0Y8FTs+u/Cg8TtLrKM8gj97vOa5Tj11TqQ8ZHXfuwEpkTvXFpc8XI6muz54xDwvioG7VxOhO/lIGbw+3yq63icCPGMTLbzya2m8dmm+u4Fj5rss8UK89bqSPNKpBztFIL08tKTTulaQM7wY+TA8EJw8vF8rZTySpRG6xJ/OO5Pzd72vsZy6jIfUvFjSkbwqX+i8ZdzhPE10Pbtxawo9gRQlPQlD2LtomA29UTcZvF4NpDwFDTK88YunOg61irwTk2c81WCavO9lj7vK0Qy94Wl7u/5JAjzaARw85PURPDN4GbvT3Ac8qFjSvKnQGD32h2s94pdIuyNo1buLNqI8TgvTPH/HF7xHRb07gm+kvCGJ+DzHfwk7c2AMPcEHOb2I+7g7Kb8du0wWWLzeRWU7nJO0vJg7Fbyzuq28GBgmO245rTuxVze8RJB0vOwR/DtZ7ag7T59IvPjYJz04YpY8wjKcO+a2Aj3t7bO8pBdCPI5mtDsFo3Y8j46RvIxPyDszRfk8wkc7vIDfxzpfFNq7ky/ZuxWiOrxUtrK80Sl/PBkruDsMKJy8eQbNu7ToSjv09AQ8fXFyPB1+g7udI/A8XTzJPMQ59zz5obU8GLqeu57h7ry9D1g8+A9CPE7y4LtPjkw83qCDPJrWKDyR+0g8HNsUPUymezqrT0W98JTdvIyEVzwP9S+8fS4XvBInlzzyWUu8hY3RvJrKEb3uqqE8AFaZPENtXrzWIIi6gesFvJ4z3rsgQAK992TOvLsD3rsa3oS8qTqnvGucpDpC0VO8j/ymPL3elzuQFDK8xS+COx7ivztmYBS5EuN1PMHmV7wxo3s8e0ulvKGFD72Xs4s6+Hk6vIrdVrwUhdA8cDO2u24thzuYYpQ8MQ64u9K6pzz1qgg9bESGPCHTkjxPnv86hKDgvKIbIT3IIVm8ynjFPOgpvjqpy648/PbkvE2u2TtNoJS80eLLvKeCLbtNMpg8hYEHuwCqYbsRf4i754feO3y6uzzdQMI8uyGwvF/4Lj0EoOe7rPb0O1Wh9jt2X2E7/1j3PDt0gT36grq7bBQdPFnhXj0aV7w703JkvIikhrz42Mq8HtR8vHYigDwUdvo8hTQAvU0yMD02s/u7nSzDPHpbpLz0k6g8LtnnPMFRebxuMvW79g6BO5+s2zxKT9c7gP12PJJTmLuQd667jG9hPPCuyzxPKz49eAq7vGWOXDm0YqA7S6b8PFlVCrx5dTE5g9SavJo4C71puOK8ImmTPFuQZrym+FY8g1mWPJKsJDyf+zM8Wy2jumunXzyYUbC8OR4VOx7/u7z/wNS8Eth8O+cUWDwePxg9P2vXu5GHETyfbDo954tuum0hlTwF77k7tyAfOyKIDb3Du2y7U94hvQ/1U72xd7e7g2fyu/8RHb3/no26VD8UPZAhhjz4mNw5ov6EvNbWJLzFjcW80C50PDfrvzsocZo6d2PAu8oW0Dt9mdy6j+S/u+D3vDzvGQ29MuCnO0rANLwq/wg7UK2gukmJN7x1A1y8l81RvBXaFjyPta+8MkKkPK9uQTwimlg8mw1gPMFIHTwzHNM8R70cPXvsrLpUk2k857gTvICoZryM0ig8Nyb+O1sqH7wC3gK8l8kvPBhzxzx3JEw9vTARPDPGS7wv0NQ8WqiaOj+di7yGIAy9g6KEu+xcqLzUnW+5ciGGuzrQ+7sZh4I8ck/nuw/vBTwWb6c8CojPvJm/ALxXaDS8PVczvCMFNDxuXgi7B9MEu2zBXjygiby8faQoPLughDwyxWm84JTCu27htzwNyai8qmRDO1NNcbvVgpa8b2SnuwAMCjyXfUE85AbRvA07xzvvhSI7V98QPGdL1LxZN9S8y5nJPIqlKrstbhe8WP8POmfxAj1EANi8WVxPu9GfzLz8B+G7AGvgPCzmUbwv0rW8fbLvvDdN3byF0BW6nYkkPIXNoDzYVr87SqyJvHhQCT3NS7U7gsOqPCAOKTyDK4U8Z3ouvNHYKLuaSDS86+cHPTHmkzyvD8G8jQ/EvPalu7xszAo89d/mO/u8vDxllpc7QlSHOkP7Zjwp6n27ERvEvAKq8DtHUnS8IjI0vMgCCL2JC9Q86RkzvFirK7uIp5i83wbeu2seTDy5qiQ8bRf2PIqbQb3vHye8XJwHO91hDL2n4UK7mJihvAL0mjxyz3G73xTbPG21bzzZDVG9a3PDvKTywzxVHl48Cu7tPOZJDDxnSKw7+pcYvFnXa7se+CE8vGdvvHw0QDw6Jfm76wUuPYkAvLzOjie9Mx0du/VxCj0iXTG7M+vKvDs/2DyXwwc8jsJWPIz9V7waNSO8wf8gPan0Jz2zUiI8K7z1PE0RajyjgIO7LU6tu3l/nztDowm8O0/WPDqSvTxt9HS79SRbvN8FkTw86g08lr3GO8bWhry/XvK7ny/bvA94Bz3fkpa7o4D4vFYJXjxvtJC7JlPcuolzmjzL1Ds8DetAPBw6CzrL5ig7qGnhu76xJ72h/YE8TOr4O2BvDb1G/we9Y466vHtp7zy94I68YfZyvIvwLTySn3c8qky3u3/S4LtiN7+69JZqvLLg/jxo+gG80OilOwLUTzsJohy7kGgRvScAET37+6u8DP2Vu9D0gDvkZDW8x1zCvC5Hz7wXVsK8aRPBOkR06juyW6G8GoWYPOKgqzx/Gf67rRukO2llCL2Vwp88qizhPFCUczt/1ZM8XOzLPJVCRrytMki5vv4TPQv8ubz8OYe7g4q7PIKU/zyWZbw81evKO5SpuDzNK5a8xw4SPMlPrjv4PQM8RGwUPbGuMjy3IrQ8/uQKPcqXZr07dI675UtuO8QGV7tg+l+81y4CvaqYUbw5fF28rDXkPE5xprv604s6CZAJPc/MzbsQ9sK8Izq5vJtIADmErZg8LhZuO/AXpLvAUzi9JbGnvLv2P70gtaK8hvKeuZ1DNzw7dnI8msTHu0QLajyweLu7FQ2ePA0djLyerXm88MRUveN3ojoJyAa9fZFmPL1a5Ty4SMM67o5GPCTbijzaBzk8T1jGPD6p0zv/jHI89nLIPGAAKLxIqqS8zq8MvDV37zz+Squ8U1CQuq9dg7weKCO6MAKXvPhrpjv3Ja66ww32vLkGq7rMw4+8U+TJu2pb/7xNR6Y8/9eDPM74TjtZeFU865btPCk6/jvIRc07RRidPPGCqTxSJLE87ew8vB0Jqzk4VMg8D4Q7vNC/zjwdSdI6wkR6PO8EFbtOapG70QgJvMmbsTw0QoW8XjTPu5uE1DyTSHK88irqvG2hnjyNw9s62y4YvGRl8jwKDHU9/fHdPHYfP7vv8hY9Fl4NvPhr0jyZhkG9nQarOT7dS7y11zo8vCqIvFgNNzzYHm+7WwZkvHwbRjp5xBI8LuJqPJTWEDwDCo28DnPmvHDM/Dq16ps75BlZvPAQ3DzwR2O8td0uvGWVbjzFJKu86zZFvBd3Gbx5QRY9RyOtPGSkiTwalXy8glAaO9IAjrwpZ248grzkuhqQhLwXnN+855Kxu7HAWjw+qZI8YgvkPDiv1TpihYq8wjyFvGDgnjxcUwu9hF0zPMmldjqHqUm9714Du3zMybwpxjQ8QKjYPD+pUDwWSrC89y4OvPMrqrt+5HQ8S4XMPP+8BTxN6fc8ALsjPdss/Du9ypC8I9eyvG1bNDs+1ak8t8OyvCVhGryuNNI7kC2RPLYbQj1Noce85I8MPFtPLLzUmPG8T02HPCPIGb12QJo8tkuSOhAIoLy/bVo8QZKrug6xRDyHUgK9HqSEPBLouLxmjWA8mGUovE7A+7roz9E8T1M3PHVS1LyTz/s8MWtYPC9kwDsXJQ89BI/gvGyJSDzBBYC8csghulNag7t+Fce8f1pAPRjrqLyNIZk7dRy7PK415TxLvTw84Q/KvMr/1ztdhne8wrGkvNEdgz0H2zk7zPOWuxteEbyUbya9CSSSPD/HAbtFxi68XtfOvKJk1bxh8my75qU1PB+HHruEhIO7ykOBvPL9ADshox48yN5BPBpYlrrjhqk8vmQKuz7B1jwiTnk89GXRO3Witrth5Zy8oeiau+kCcjwySLa8/3/eO893qzvIVuk7zPJNPU5kpruWr2Q8+zw4vUE1UTzhOdY6j/1FOzp6QzxDVwc8PmcRvTi7BjzMN+a729mtu0yzkjw0Aty73hYLvbzvqzu0Y2O7QNbSvJEhqTwXRmM8s5vpPI2gNbzjV/m7iJgfvA6iEjxk3WS8Fu+nPMYE6jzJ3j489Ta5ugDwDrxuJ/e8BOEJu67fvTuaeJm71wzMvLQclTtstJ68RG+AvPC3lTz2IYO7MXK+vGi9yzwvTNA8IqFKvONz3LtxfuM5PC1fOz17sjtsQ+S7WfmOPIIouDvjXpW5BUnDPLgTAzx3pPs8HDETvOu46LxjUKG8BcLoO8+cUbuS85S8ddq/POcrfDw2i1s6Z3GmuzKrqDzNs545wBiKOldmrjvwNRc6W5gNuiuIJTzTeVy8R4+KvIwzjDxlKG68uUC0vNJs4zu7gho8QDhhPErRPzxae827rIl0PHqt2DsgctW8KBgdPAHllTuHryG8NGeJPGD9obxc3e28gKiyPDDX1by5chk9KEmYvHGOBb1TZfy7PbZdvCwmRjyyueC6XFwYvIgXhrxio6O8yD1uu55BCzxwAVQ834FFPEJjKryz7xI8eR3aPAELWLsM2+k8KGsovA+MhbyqlLm8pBcBPNAmH72HLES7iuuKvBAirbwDc5e8YAZpu0ziBbx1+qc8kDdgvJVqyjviUP68hcgMvaRhL7qfLSO8d85SvMxE2bzo2J+71CcXvVk0Yzz/FQi6QNasPIHsgDwsQ6s89elAujkchrtjfrW70upmvHEVKDwPCn87TDJlvItTSbuuboa8h6v5vO099DzCDGy7cn08Pe1jhLwA4987Hv+PPOegnry9/X46OdTFPLxmtLsfUxE7soN9t+0RU7sigKG8Nmg9vNNTfTwafTm62cVEvarJn7tW+Km7JcSiPP0n7bsiIEg8bD9dvC9B5rzf7pA8WnhXO5YjiLsFZs885BkAPaW6trtlok67jJAYPQpwlrxQrP+7GZQbPHqEgbrLSNA84HcAPHZ1nLxoXxU8ewUgvDhMSDqZeJi71JBZPGOuY7zMvny6wnk5vcYpqDvhugO8T2NbPHG3PbxFJZ07lsoQvaw75DpW1hy8+UCqvNzEgztuyak8NzNDvKTTVz2PfYe7pgBUu4IwmzlQ+0i92fM+OyTgZjyYVgQ9x/+wu0Pckru+jbU8013avDWlAb3xB1s7jlVpPBicRjsof4q8zLJ/PCtZmrscFz+8RBpivJi79jusfTg8liWBOw5aR7x2YLG8f0FhPDvkK7yL2Li88EaFPJqBizvW1H48pQgWO0mhDD239hc791TJPGw6AL3iZCW9aCU/PK4jlju/gq07Wg8Ju4AVjrxDnhm7B7zWPIm8Wzz/Ibs8QXupvGpgTb2h+tw69hZ6u+4xBDxf51+9fmfZPGDgzbw9u4G7HEQ0vNgDLryTgXW8LSjgPKAhRbplelE82xbWvDsoubzi/7G8PgQlu6PiCr0ndc68BIaSPDWjmjwHCV27q+LqPHbYo7y6rw69JAXlPAANpTsgu3a6D3IJvY6FPzyTBAo5VcKxvAC7dzz9Uww9zZYFOzjpDTsjsCC9mt1XvNHEIj16VBw9IMHIPF9vqLxCxZS89OuzutyGH7wTW2u7SSBjvK0kdL33vf25S8jUvI+ZMr2JdIa7ZocUOrVzFrznC5y8BoKcvOqIzzwlxmu8Iu0lvAhjbjwhFho9VbtOu9FtFD1s2qG7igBpO07IEryc+xy84YBWO6DZRrwScq48f6QtPZIBqby4czW9MoipOzmXMzyVFgK9qnuavPPRsLkqk2Y8EY9qPP9sIDzH3ku7FOxXu0OmKDs+phI8RKqfOq71B7s6kps8bpkDvYqTjDyuhJ88SQwovHiTWzzzC4g8HGmjPGOYLbx6nHm9N3FKPPi5ajxlDT+9mYJLPAOlXry+/jq8JmyQvJu5UDwgKTi8sIK7vFH247uhT6O8Yrk/umV5DryHBqO7Jd+8vNue5Luya5K8ULG2vLJ6nbyRTJ+7hPqBPBCFkLs0Asy8nXVBudjcHLq4m+Y7ycZYvLsRk7zY3PO7fQ8nPejrLbuQ0/o8o/xwPMT27zyixU68WpLnPHl0fTy1LRm99sc5Oysjgju/nZ873crrPNbN1Dshk8s7bB5LPC3OxzxW8um7ym/XuzyEtbzchP687qdwPO0fcbzPjVC7HPtQPO1LbbwWqTO9rfV+vJxdGTxiz4k8c+R5vM84KzyovKo8oaNfPCLqG7zFhx+8SeXLO7BytToC1pC8qGFmvN4JqroZb/s7wBHEu68IhjySPzW8b18ouFThgTwYbSO7ftsIPCBrbrvV8Z283rQLPb1i9TuVLVo7NJx8O7LOoDyN+gw5UHYlPXrgFzser2I8NuDXPGNGorx4CVC80IYFPHcJkLx/lti6prOwPBVqaLwgS588dIfMuycdDTyDVL27ll9lup9ppbsWf+k7LmTQOpJma71+ZZi8vY2OvIuju7t1VIC7nodHOgusFLy/0gS8aHQTveKCTTwQeEa8u5dvO/KUrzubd4A65JpEPHZjbLtCFK087BI/vIh3qjrUBKy8XU0hPLgcRDwLt9U7X4EXu3Gjpbz3bw8980srvfL1gzvOo5o80CXBu9BDEb3vvFQ7qJqEvCD7I72K+cK79IDOu7q4vjxcfIi8owQAPA+AS7oXor29RosHPS2EubzZtdm8Pa5QPJNAnbw4D+M8TZnbuyUCz7sE1EW7QW+6vALKwjvpx7k7M80XPSxdBrt9ROk6LqtrOghoSzvAP0s8yytiPI4V0DzZLA+8dntmPADkhbvJ2oS8O24bPBg5XrwCQxs9j6l0PLMfTbzwiuO7VZGBvFGCQDzi1ok5ZmKTO4CFtrz/fL68JZWmPOJBtzxXOpq6zB+gPEBMqrwTtGQ8TcibvHe5ubv9XIY8ApACvfJjrzzPoYm7XiIOvKpLOryjofI8aMRdvClBUzzfeSG8PbmrPAM3jjv/i7w7YorXPBv3aDysCoC8xd6IO/lKZbxNE+W7XeICvacsjbtDqts7zNvZPG5olTySh7i8ZOI8PBSTljzC+KO7G6hhvFMDjzr0gXW7S8VCO2vxCb28fjK9Q0o3vEdSkrzUhtm5WLeou55Fg7zTObE8+spzvJxuSDqWVgm8fzzdvDLcPTyvxgG8vMWOu7tDRzw4Ooe8bZbgu2w4xbvb2q67havtt7A0Qj1GuTO8GBEwPAatBrwZAva7r+orvO5ZgTxBYqU72818vDzOabzupBo8+htcPKfHz7t/yyO84NCdvH0m17ymt588nn4JPPPWCDyWnAm7FjGDvMjMfrwODFG8UwmaO+l1fjwn/gi89y7HvHa21LzPfTQ4TdsXvGg+CT1uKt87wyFevI8Cwzu65wc8CxQDPAxNfjvhmZk6cye7vKb/vrupQ127O79bvIlu6bulI4S8VOTOu+e47jz0eCw80tSwPBIy/zziM08830ALvbAJSLs0Y9o7zRhMPcNLj7vzSuy8DiYhPOt5Qjzdw9I8Y78tu+sCWTr5PtI62hdjPHE7J7zs10c8Nwf0u4rUlDtm1M27Ee8BPday3rzgfRm7UbeZPAlDM7wtoS09eP2uPFvJFj1N1w09tWPsu558xTz3YQc8ke4NvTqK+DyP6e67hVMHvKBhAjy/5hA9xGZ6PBfEXTyhBJG6PD0Ouow/1LvCIA49+FgevBaBDDy3Keg7v+8DPUy0Fr0T7m88k3mlu2pWKTx7Bg08avuYO4o60jyRCAK8jiJjPLoDAD3m2DW9wYZvvPY0/7uMurg7c06EO50nxbtgx887ahApO7C+5Tty8BE92dX0u39jULvWrqw8I12QPO+PZLyl/j6862FMvHjKEr3stDe93q0nPIqIvrxpBDw876EhvaT03bvKgBm8KqvaPOeFGzwu1ck8Gd3MO1keTDz4TZE8lwYMPaOeAz2eB7q8ff8YPIqdULxBIKM8FdC6OwpwkzxXbUq8MuHQPLY5hLthioI8qM3UPLpxdju2SJI8hPB5uqdJyrrtFGA8XPcIvGrEfbvGRwY8maatPKbmLzxAYS48JTKlO4a4qbyMXNK8WkN2vGgFC7sGuBm7FYbAvFqq3DtXqA2910EyvOkTvzvLeQy9pdmRvICsTrxQnj68AsunPAcX+rqOXjW8xme+vA6alLzOtMc7/7PBOjawK7vlooK74UqgPCrJUbrrDrs8ba/AvK0xoLynqCO8D048u9CmALxwEAW8eZIJPd4m4rza0vs7NeHnO8ck7bwzC9o7ASvVu6hEAjzSpA68cGQgPONKfzkrQ3G8cI0NOwXlL7x24Sg8uOZ+uoNrLrvx20Q8Vz70vL8xtzsgrmy8hJ/2uqHj3ryxTuS7ziJNO3ooGTwS4wC8mGvMu6AKR7xOWcq5hDJfvNNXEj37EwI98ki1u6pso7xR9Uk8lq6duw+1p7y7Bvu7PiCbvDIRr7xNnty8TxNRPIS2z7tqzg28sgrHuvAIC7ui7X48aS3GvA0EZbtA6vM7o7y7vFXWoTxx+rM6qz21O+SumTt/Y4E84IOQO0iOCr0YJdA8VMCzvA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 13
+ total_tokens: 13
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '151'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Computer vision systems can interpret and analyze visual information from images.
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 13
+ total_tokens: 13
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - machine learning
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_search_filter/test_research_graph_uses_search_filter.yaml b/tests/cassettes/test_search_filter/test_research_graph_uses_search_filter.yaml
index 27e6bdbd..a7a8c533 100644
--- a/tests/cassettes/test_search_filter/test_research_graph_uses_search_filter.yaml
+++ b/tests/cassettes/test_search_filter/test_research_graph_uses_search_filter.yaml
@@ -1,144 +1,4 @@
interactions:
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '274'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- location:
- - /api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json?%2FQwen%2FQwen3-Embedding-0.6B%2Fresolve%2Fmain%2Ftokenizer_config.json=&etag=%227345216a0785dc7086e8c245b2a9d3896ce2b756%22
- ratelimit:
- - '"resolvers";r=4997;t=288'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin, Accept
- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- age:
- - '3639133'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '9706'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
- - '"7345216a0785dc7086e8c245b2a9d3896ce2b756"'
- ratelimit:
- - '"resolvers";r=4998;t=122'
- ratelimit-policy:
- - '"fixed window";"resolvers";q=5000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
- - application/json; charset=utf-8
- cross-origin-opener-policy:
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- - '"fixed window";"api";q=1000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -179,146 +39,6 @@ interactions:
status:
code: 200
message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
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- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
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- string: ''
- headers:
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- content-disposition:
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- - default-src 'none'; sandbox
- content-type:
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- message: Temporary Redirect
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- headers:
- accept:
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- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
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- referrer-policy:
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- vary:
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- error: additional_chat_templates does not exist on "main"
- status:
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- message: Not Found
- request:
headers:
accept:
@@ -448,7 +168,7 @@ interactions:
response:
headers:
content-length:
- - '514'
+ - '529'
content-type:
- application/json
parsed_body:
@@ -457,24 +177,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to gather context with tool first.
+ reasoning: We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_jiipk1ni
+ id: call_cl5t75ty
index: 0
type: function
- created: 1766762044
- id: chatcmpl-728
+ created: 1766861998
+ id: chatcmpl-798
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 42
+ completion_tokens: 43
prompt_tokens: 416
- total_tokens: 458
+ total_tokens: 459
status:
code: 200
message: OK
@@ -527,7 +247,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2454'
+ - '2469'
content-type:
- application/json
host:
@@ -567,18 +287,18 @@ interactions:
role: user
- content: |-
- Need to gather context with tool first.
+ We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_jiipk1ni
+ id: call_cl5t75ty
type: function
- content: 'Document about cats: Cats are small furry mammals that purr.'
role: tool
- tool_call_id: call_jiipk1ni
+ tool_call_id: call_cl5t75ty
model: gpt-oss
reasoning_effort: low
stream: false
@@ -621,7 +341,7 @@ interactions:
response:
headers:
content-length:
- - '765'
+ - '1306'
content-type:
- application/json
parsed_body:
@@ -629,21 +349,25 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: "**Research Plan**\n\n1. What are the key taxonomic groups of animals that humans commonly encounter, and
- what distinguishes each group from one another? \n2. How do animals adapt their physiology and behavior to live
- in terrestrial, marine, and aerial environments? \n3. What are the most significant threats to animal populations
- worldwide, and what conservation strategies are currently being implemented to address these threats?"
- reasoning: We have limited info. Must plan.
+ content: "**1.** What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles,
+ amphibians, and fish) and how do they differ in basic anatomy and reproduction? \n**2.** How are animals distributed
+ worldwide, and what key environmental factors influence the diversity of animal species in different ecosystems
+ (e.g., tropical rainforest, desert, marine reef, temperate forest)? \n**3.** What are some primary ecological
+ roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals perform in natural
+ ecosystems, and how do these roles impact ecosystem stability and biodiversity?\n\nThese questions are self‑contained,
+ each focused on a distinct aspect of animals, and together they provide a broad, high‑value overview."
+ reasoning: 'We only got information about cats. Plan minimal sub-questions: ask about general classification, diversity,
+ distribution, ecological roles. Maybe ask about mammals, birds, reptiles, amphibians, fish. Provide 3 subquestions.'
role: assistant
- created: 1766762056
- id: chatcmpl-215
+ created: 1766862006
+ id: chatcmpl-748
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 96
- prompt_tokens: 487
- total_tokens: 583
+ completion_tokens: 213
+ prompt_tokens: 490
+ total_tokens: 703
status:
code: 200
message: OK
@@ -656,7 +380,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3665'
+ - '4568'
content-type:
- application/json
host:
@@ -696,23 +420,27 @@ interactions:
role: user
- content: |-
- Need to gather context with tool first.
+ We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_jiipk1ni
+ id: call_cl5t75ty
type: function
- content: 'Document about cats: Cats are small furry mammals that purr.'
role: tool
- tool_call_id: call_jiipk1ni
- - content: "\nWe have limited info. Must plan.\n\n\n**Research Plan**\n\n1. What are the key taxonomic
- groups of animals that humans commonly encounter, and what distinguishes each group from one another? \n2. How
- do animals adapt their physiology and behavior to live in terrestrial, marine, and aerial environments? \n3. What
- are the most significant threats to animal populations worldwide, and what conservation strategies are currently
- being implemented to address these threats?"
+ tool_call_id: call_cl5t75ty
+ - content: "\nWe only got information about cats. Plan minimal sub-questions: ask about general classification,
+ diversity, distribution, ecological roles. Maybe ask about mammals, birds, reptiles, amphibians, fish. Provide 3
+ subquestions.\n\n\n**1.** What are the major taxonomic groups of animals (including examples from mammals,
+ birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and reproduction? \n**2.** How are
+ animals distributed worldwide, and what key environmental factors influence the diversity of animal species in different
+ ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)? \n**3.** What are some primary ecological
+ roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals perform in natural
+ ecosystems, and how do these roles impact ecosystem stability and biodiversity?\n\nThese questions are self‑contained,
+ each focused on a distinct aspect of animals, and together they provide a broad, high‑value overview."
role: assistant
- content: |-
1 validation error:
@@ -722,7 +450,7 @@ interactions:
"type": "json_invalid",
"loc": [],
"msg": "Invalid JSON: expected value at line 1 column 1",
- "input": "**Research Plan**\n\n1. What are the key taxonomic groups of animals that humans commonly encounter, and what distinguishes each group from one another? \n2. How do animals adapt their physiology and behavior to live in terrestrial, marine, and aerial environments? \n3. What are the most significant threats to animal populations worldwide, and what conservation strategies are currently being implemented to address these threats?"
+ "input": "**1.** What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and reproduction? \n**2.** How are animals distributed worldwide, and what key environmental factors influence the diversity of animal species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)? \n**3.** What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?\n\nThese questions are self‑contained, each focused on a distinct aspect of animals, and together they provide a broad, high‑value overview."
}
]
```
@@ -771,7 +499,7 @@ interactions:
response:
headers:
content-length:
- - '865'
+ - '1112'
content-type:
- application/json
parsed_body:
@@ -784,23 +512,25 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"sub_questions":["What are the main taxonomic groups of animals that humans commonly encounter,
- and what distinguishes each group?","How do animals adapt their physiology and behavior to living in terrestrial,
- marine, and aerial environments?","What are the most significant threats to animal populations worldwide,
- and what conservation strategies are being implemented to address them?"]}'
+ arguments: '{"sub_questions":["What are the major taxonomic groups of animals (including examples from mammals,
+ birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and reproduction?","How are
+ animals distributed worldwide, and what key environmental factors influence the diversity of animal species
+ in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?","What are some
+ primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals
+ perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?"]}'
name: final_result
- id: call_91txu0r1
+ id: call_br9w8kbi
index: 0
type: function
- created: 1766762068
- id: chatcmpl-715
+ created: 1766862012
+ id: chatcmpl-427
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 97
- prompt_tokens: 731
- total_tokens: 828
+ completion_tokens: 152
+ prompt_tokens: 930
+ total_tokens: 1082
status:
code: 200
message: OK
@@ -813,7 +543,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2864'
+ - '2929'
content-type:
- application/json
host:
@@ -866,8 +596,8 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each
- group?
+ - content: What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians,
+ and fish) and how do they differ in basic anatomy and reproduction?
role: user
model: gpt-oss
reasoning_effort: low
@@ -920,988 +650,6 @@ interactions:
type: object
type: function
uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
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- - '550'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need search.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"main taxonomic groups of animals humans commonly encounter distinguishing each
- group"}'
- name: search_and_answer
- id: call_6j5awrjl
- index: 0
- type: function
- created: 1766762073
- id: chatcmpl-992
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 43
- prompt_tokens: 622
- total_tokens: 665
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '154'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - main taxonomic groups of animals humans commonly encounter distinguishing each group
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
- - embedding: 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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 13
- total_tokens: 13
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3371'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each
- group?
- role: user
- - content: |-
-
- Need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"main taxonomic groups of animals humans commonly encounter distinguishing each
- group"}'
- name: search_and_answer
- id: call_6j5awrjl
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_6j5awrjl
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '571'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Low relevance. Maybe search broader.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"classification animals humans encounter mammals birds reptiles amphibians insects"}'
- name: search_and_answer
- id: call_e85chnk9
- index: 0
- type: function
- created: 1766762077
- id: chatcmpl-771
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 45
- prompt_tokens: 740
- total_tokens: 785
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '151'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - classification animals humans encounter mammals birds reptiles amphibians insects
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
- - embedding: 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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 12
- total_tokens: 12
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3899'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each
- group?
- role: user
- - content: |-
-
- Need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"main taxonomic groups of animals humans commonly encounter distinguishing each
- group"}'
- name: search_and_answer
- id: call_6j5awrjl
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_6j5awrjl
- - content: |-
-
- Low relevance. Maybe search broader.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"classification animals humans encounter mammals birds reptiles amphibians insects"}'
- name: search_and_answer
- id: call_e85chnk9
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_e85chnk9
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '359'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: I couldn't retrieve relevant information from the available knowledge base.
- role: assistant
- created: 1766762078
- id: chatcmpl-707
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 15
- prompt_tokens: 860
- total_tokens: 875
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '4136'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each
- group?
- role: user
- - content: |-
-
- Need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"main taxonomic groups of animals humans commonly encounter distinguishing each
- group"}'
- name: search_and_answer
- id: call_6j5awrjl
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_6j5awrjl
- - content: |-
-
- Low relevance. Maybe search broader.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"classification animals humans encounter mammals birds reptiles amphibians insects"}'
- name: search_and_answer
- id: call_e85chnk9
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_e85chnk9
- - content: I couldn't retrieve relevant information from the available knowledge base.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '692'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need to use final_result tool.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"answer":"I’m sorry, I don’t have enough information on that topic.","cited_chunks":[],"confidence":0,"query":"What
- are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each group?"}'
- name: final_result
- id: call_l8ld16sh
- index: 0
- type: function
- created: 1766762079
- id: chatcmpl-11
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 77
- prompt_tokens: 900
- total_tokens: 977
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '2861'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '541'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need to search.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
- name: search_and_answer
- id: call_fyjvbzmq
- index: 0
- type: function
- created: 1766762088
- id: chatcmpl-625
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 40
- prompt_tokens: 621
- total_tokens: 661
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '142'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - animals adapt physiology behavior terrestrial marine aerial environments
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
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7c5vuXvO4DzIgdG8IGAJvecPn7qvxkI9KQSdPZc5HDzuddE8DbYTvI/yyzwMG6U8bPu/uuvD17zQTDM97gSTPJ2AZT2muqa6XyEKvSceHbwzis28cK7vvK/GP71SqMY8lAs/Ox+KfL0F2Mi8n/00vVbKb7pYTZU7EHXuPBEEWLvj5ZU85W36u1kEnzu1LpK8jIYFPDWAQ7zf0wo87BQOu4ZV5TvEi5+8hJRRPduXQTwTzoG8wRmNPJs7GrsJAda8oqJyu0fzlLs5jH85T83wO6ekKTyKS+u8XFtvPFOPw7s7o3Q9XAYvvGnuMLzeZWc9xrjQuwXNgrxnlJ26FnnFvLX3pruwl7+8cgQwutZtAL1GW6c8HhJrO9+MXTp44X49rsuTvAAnnzsESFc8P9v0vGdOyruB9r88T+UjvDzHWDxKAVA8fy05PE9kBzwIlIo8sGqAPHStzjxy4YE7C6wAvHYPn7yS/wu8qftROpp+oLz9iJI7wx5AO0C9wjomMpk85bFOu8zX8LwSSqa8DWdIPEgeWLvsAzu897JmPazTz7sxBhM9dyXzvPowPbxUJWe8XtIRvFWmg7yfo3g6/j/9OwZ6hDwKgCe9zyO4Oc478TsUpqO8Lp0sPFhAhzuVFO48Nwj5uwzRDjx8RoM7Ch75O7+347stBuk7jl1QvIIIAjx+EJm8nwLcOxSgp7twU8K8x6yyPGt3tTrOTti8lBVjvPbY0DlfnlO6Y/Dxu0i5IDw7Bfa7sSKCO+Jnazttw5o8mGJwvHzkjDyKsFO61hRTPNeonTwiY6O7zoq5PCsL27qjT5k8dQbaPHB4CTynMBQ9InJgvOVb0byLRaM7+JLLu9Zax7tq+1Y8k2tvvD5dXztl4967fllgOwl5EzucAwS8H1bAuw1t+7rTeYc70cmpvAm+oTwqjzW85NPGvDySkLvpxmm7pB5VPBZ8Prwrjlm7Qja8uiUvXDxXwPU5Zh2aO6sMWzx4iyw78CgjvNHlqjwpvwI8xDFhO6v1Ibw7pjQ8OWdhunZsObucCce7yZuSvENBoLwMFt+3ZmIXPL7XFj28TCU8TQGBO62inzvrHuO76U+vPAkkOrxV6gE6joFJvDeaiDz5fR68YZq1u3YLsTkDcCe82HyJOzYADbx337470tuuvLajiLxTXw09ECGBPD5PETvIZAo81/MnOa6hjTzdJAW95/D9O5o2xLpgkhY8Bah4PANwgztj6Zo8hqjXO4W/7To9rJ049QJUvL7noDuDtcI7te1evOGtXTozqJI8u6AQvH79wrwBzoK8uU/3OL/Inzv+ANW8QeRTOwK237wmf147tzF1vJKAiLucdSu6zL3OPLCH0rzQ3vy6NFlPPCc+WbwyY/y8KN+zvDq0yDwFwoy8VEXEuzDdOrx5E565ukICOzoFhLyPxZm8XYB9u710/TxVIV28PG9PPfd3VTuba1A88VuNPIf4Izz5h1W7jy0ZO0RlwTwRekc8UBUQPTuNabzFxUC8XnoAvG1W2Tz5vXi8ioJVvJgEPL0J4oU8D/EgvEKcsDzYGto8IrvJO04PijxIZpQ6YNBBPNVVt7tPJpA8PB4sPLutrzlRh7W8YJjtusY347yGpHI8hMAoPQdv3zwgNi47j9fCOxr9yzoxrJK903lFPOZmSLzGv5S8JRPxPO/Z/TxxVk28+GEIvagqnLqgjqy7Y2mmvFFAf7yOzgu7MuQxvVK/bDwxSIi8dooCvPt/dDwAWJg8DAojPDZAV73AYQs96nkMvGs0uDxgq568w0OhvKxLOzwcYDa7lVc0vLmp5zwaApQ8FxeeO5L7JDyvz7a8GIKIOtxCHr3ZSRs8ZbLXus+ZoTw6HiO8XLjrvOAmnbsVINU83KGquz6y5rzmhWS72V2IurItujzCAJo8hw0sPJ0BDD0BNI28/DsFvRHRjjt+Sro7rjOxO749CL3APlC5+OHpOnu6Az03AxG8DU4WvKgSfjq09ms7HDq6PHLm3Tu7QPk7M3CAvGqZgz0CRJC8HGfeu4I1/TsyEis8uxbkPDilz7x1k4I8Y2CovO0zyjwnKoe88EL8uVwHe7ziGgk8QNDEu2WaVjxziKa88YsCPSl/vDwyhvE8Vyt5PBrCCjxavEA9dsTQvBXfyby3ykU8FkoFvW4ctTq61F486uyLvKTyxbyFmno8YoWVPIxe6To77tK7nIJfPFXVYTtGwfc6zfy2umvtTzopMb88Eb2CvE8OJryHz6a7qWYnPIETkbxDfy68qlBmO+jGtjpoD/K7sanSO+5bEDzSwgy9xndKvFABtzlWjqc86BpcvOi6Jz0hY/q7ceh0Oif+Ir0xJCC6S28AveOcjLsSsR+8NC2tOzfXqTw1pA49QpfGvGd2GTz+KzE8jCZ3vMCVm7xKr9W8UQg7vKX657x3Urw87twQPKTEorwHvDY8FeGGPOPsmrwbOZS8yIflvGln070WUbw8Aqa4PCRwgbyYHMK8w5IVu/nLtbwHFrs7aIozPJMxA7pWDc+8Y7dUvMBglLuOHcQ8QS0dPNpEo7vPCvk7KFKYvCULFDyXsN86g6rxOwMdXDwLhK67Xu8fvGX9lDwzhkQ9SDuePJkl5DyeMH29zCqGvOblyzsI3M280G1WvDlMU7u/jKW5PaCIO8wTyzyJuqm8tYNfO3MhJ7yjGYk8e0lmPGNYRTw+tX68PJRUvRO2yjsR3UQ7avhAvFnVcTqicHY8mFeZPApZiLwAe7S5th4nvbf13zwIddy8ginOPAepBzxCGbw7dhAfPNDWmLuyd4A7KehLPHH6ZjvxVyC81UYePCu9kTzrZT+95K8JvbskHzvaHwK9nWCQOwe8f7xU/HM81meUvLbfJzwv8As9ASCkPZ+mRLw9oYI9ftzjPEf0DjuHkrE8qbIxO/NuyDxYKA+9yUbNO3aCSDsqeYm91tWtPMEkIjx79IW8J+rnPJqwg7yvl6K8awYzPGmw+jzowRs9yJoAveHjmjzHusc7LdL2PIrnizsfk287ReeEu21hTb39Tzw7jtOePJ2FAbwPKQo754ZGPDvSyrmgjlY6RmWEumBlWrsAIh+96pEru0sSTjwFFL+8owMfvTczgTvQnWK8x8LhPEo/F733msU8G92AuaDAsjxxxDo8ZCGtPI1MUbxA1By8WpztPAlEVDyWaYe8NYuYO1kp87xqKDA8mlslO3u2PbzDapk8s5SmPCrMYb3atXm8GRNsvNc1kTzTpuo8aggKvFu+pDzm/C66d+lePNawDjpnlIW8oZN3vLSxYD0DtA28JdCSPPpXh7xuQKe8NxS9O/V8ULzkJwq9Zq+0ui4qlTwU4eo86SNyvD0bOr0+ZTW8u85vPI9G2bpwwfS85A73OhgSjTnkKIU7UtmBOzCZCLod16C8iJGGvRWOh7uTdaG7Q3sLvaVfh7qot6k6Zp5FPJLet7z5C6k8qq69vF5RBr2gLQK8BynAO6rc8TrdPp85dSNzPCk64LyxHpk8ohaquF9EzTypxMm5pTVtPIgbqbvyfzY8h325vKQVK7oXnN483jhvPJrMMDolBYy6TvQBvSsAhzqZ5s48dQ//vGc8RTtR78i8ILLGuzOR2rsZWec8vLXqvMnsUzzPzlG6ttrTO0gZ4brKHAK9siBCPENf3Dw4vvS8VpVePP8uazwyRue88RcavKoxXTtXD/A8tAgmu1A5jbyROKC887htPJdNo7tCt7K8EqsyvBqdyTydQQS9+3U3u1ZDizvntUW78aUiPN3g5jqrOPQ6WNhVOqOtgTvuLYY88VhbO4UkrDxiTLi65jqIu45a6LyLS9M7thKJvNWd2LxBufe8L0eMu1CSlTwLzPG7BHWSvJPtYjt0Kdy88I0NvBPNAryKpUC8kG+MO1U8xby7scs6Hz0PPUbHKTzZxX+8fI2IPOmLHDxUnmK8GWvoOn5/Hzvx3DM8OI+tPH26KjzeLJg868/7u3z8gTyZINM6HnsePLzekDzcl1q9MWf2Oo7rd7z/9By8n3Csu5WtFj2uVMq76c2HvdS2Fzt0GmY8FlVgvOApSrvcXd08n7OpPLILd7m/S/e7HZyGu9ED27ynAjK8ZfdVPDH0HDwP+/g7U5QHvMZeYTwxd5S8LLCQPHJ6VTv2mOi7g0G5PIdbh7rEc4+8yCuMvMFbsTxwO2G7AZpjvBCOprxM9Aq8arsEPD3EObznvKE6NsRAvPEsI71EPPk74ewgvYFS5bqIBFQ9NDFQPNOL8LwjYw+8PASUvDr8lTyDyMy8ZGf7vDZTJbtx17i69LySvLveBzzjAgU9A+uXvE7Trzr5XBI8V9SwPLuHx7t3xx88Mlc6Oj7//Dvz+wS8KcYlPMQmsDz7xAy9hLzDujIlS7wNG688QPEOvHf7cbt5YxY9n0adPK2p1jvZBpe8SIglPPKL+bzcios5/y6UOtNghTxGGVI8D57LumYaqDwws8e7Mk/OvIgAB7zC2gE8tHCkvMM8Jzz842a8gEZ9PCjcETwDvOQ7XJ7SuxBYAzvcdpS8fX+gOzEph7zJcxg9YjBmPABIfDyCDog9NaWEPCrtJTrdvwE8UXC8OnTLczw29pw7+ZTIu5cuIjv8qmc8mJmovCXMOjsJLT+9eQ5mPb0u5bph9GG82MKMvDE5VzxZEmc8NdchPAIYi7yC2Z08VKzDvJSEIT1SLcs7YoWcvGfskLqkcWk8UteUOXiOuTxGvWq8zzkmPX4MYD1zBsm8/ixcu36ODj3xkks86HuZvAbP7LsAqC89rn66PD1cB73hIao88WhmPJiIsrv5gx27agC2vEHYHz0ZaM28mpDcvPlA0DyTPDS8pI58vLhNwzy8V0k7a0EDu5YZEbwMTtI8Wo3KuMlphbv9I6y8c82/PBUCRLtGFvO8eX6MPAPqrzsWCA89Cg0wvFvjW7xuFGI85HSIvBoGIrxtevS8Bsg6PbR9uDv6UXs8QhOxu8UWTr1F1Ss8ypywvBbQ7bt1a/67AJAHvO8Bjbz2U168MsMHPXFRGDqAC4Q80AM6vOHg67w4uOO7ylPauwjyHD24uMe48fuGPPsn6jwBEeW8bX/BO0/ST7x9tdW6+F9TOuYUSr0iM5W8arPfubvEtLwuUGu7dR6CvB90n7y8NEQ8DdGMPMLWFDzTGFC3U5JIPCX5zrxb7GK64l/pPCvwCrxLVbc8dqslu2S/7TsdtGW8QwEdPH0otrvxsMW6dPvIPPL9LLwkm1Y9QYu4PMvNhTwUJLS87Ds9O5tsADsEQU2859mTPFsKTLz6a5888ne1vD+XUjzzDf47Q+QNvLNJb7uGoVa6nIK+PKfXxDyhOQw770vEvIr4mrukg3C7ZyVovJS/hbzAZ548mnHLPPlGozu+zuI7Vo7tvCDfAT2lbea4WBEJPQemPruAYDm8e8zzOMl1gLzo5ly8UMzoOlpI6Twlbpm6WogWvBfB97s01mA7AJoTvb0c2zxqxK67+pV/vIvylLvqgzS9WHCWPK1EgLw+oC29o/o4PKKMqjxU8vM7cMnpPHSutTsWRAE9mx3/vClkyLoCLWs7Kcm+PCvNpLxYeqe81og7PGhVqbv4lLi7UV7Fu3xVlTsmqoO89LHtO3F17Ds5pZ08v2bVOST8srvZyKG8pqPtO7PHrjz8Rvg4PC9lvNvpszxBQpw8Uq6tPI10KLzcZ1k8H2aBu0JtGTy1n00875ccO1G4ULtiNGu8NwU3vPAuuTxIvkK9MUVuPFg4SzxUKd25CdV5PH/95bza1qu83ZqnvKR3XLxZ12S9HvUMvevxojyKcUu8pKG9vJkB5zwkUV68PBeKPHsOELx2isC7YtacPOfsTjybEIW6GFMKvT8e+7pOLUg9wLP0u7FLA7uFpiY9l7louwvEh7xeE/078c4zu1J+KTyWNeY8gcmRvBS84Lzc9ue8ii7JPHXtBj1/GQQ9AOYDvfaNRTwBWA29fA7JPOVYEjrh5am7vJeovGjevLu7k5y8kqRNvHZnCz0Agy+6Ns4KvExLM7rTQ6k8Zm49OyQelruT0K68wHSjuxW4xTvol2i82uN4Pab+IjwxK++7MtpTPegQETwDOVq8KKRzPCXVBzz+wzy82eETu6cAebxAnaK832YoPMlc+DsHH1+8zkcXPI1ipLrsNeu6me1pupMFbrtE0hy8NFxtuz4JDbyhe208nEmxO9C4CTz4IhO911TUOqsIuTwjkIq8sm8+vO0E4rpCCnU8TsncvBkPFD1CnS48Ke5mPHrh87wDdgS9Gb8pPNRGqrsw5I08ZWKauxbR2jwGSLc8a0qDPKsVprwBhx+6QBV8vCZcmjzediy852ETPfbLj7yWVZw6/EkPPLyPkzv1h6I8ncdIvMHOTDxeQbE8UBTzvCozzjqC8NW7sZEaPIq0hrplTtW8zNRDu6ObAL2Xdje96ZCqvMjlFr0JAPS7jy8uu01kpbzV4u88AALEOS1cTD1DxfU7AFnyPCMJrbx22d48ehyBvCT7mjz/UQ29bBPtO7dkorsDBqM7fluIPKlYP7qBjr+5su7kO12n7Ltgo8i8BDpLu9AKxjxOS9a73mcFPJBlITykjqy8nJs2O1sGsLwWeWI8A5ZgPJxDA71xNgs9J04FvSYu6bxevJI80N8qPVR+tzzfJwk91n4eu9pqbzw8WL48PkqFPFgWVLyDvVC7Lr9FPHj6CLwE7428WYsNPPdiXLzXJo27vYjVvBG+BLwZ+D084IX9O5rIzLjZngA88cDWuyDlabxCHBK9/E8qPJeRSzw9ae48puebOvmc4LoRslY883OwuyfarTxg32s8QewGPPLNqLw5Eoe7gRT5vIYSFjxV7B69oAslPBD3eDuGCBY7iHAJPIGrYTvMO6C7rbKnvHw3Jb3volG721VbPR95qLsbktW8r2HTPCSJ2bv36X2871w2PNaIqbxyfs+8DaEkvEc86LwReYu5BLGmPIGO+7zHRLG8flNZvBaZxLt/LlI7cU/XvF3sYDxgOYM8V20XvQ+okLyP2uo7hKqLvCt97bsz9ic7D1dIPFdhm7t3gb87+4hIOdLbY7yC/2I8Y3O4uzAy1jofHuE8OPfCOwHq9zzx+1W8NECXvJJcQbz16f07uA5tO3mfVTv8e6Q8xRAQvdIG4DzEWNK7YWZKvJnPqzxSs9Y8KmNvPXEZB70eKX+89nwMO2y977xJmQ88zIfuO2IrujsLNE69+cwMPfr5orwyiLq865FtO6LmnTnKxv47ealXPEA7gzwCSgW7mjshPZVdHrwp3oc8343hOk9bZDzHJ6W8mh2yPKhuDbwHo8y8LUztO0aiUDz/qSM8IB0LPaJ5ajw73E88Wb7XO+88cTsQufw7LlFcPez62rpxsuq7sWUrvET5ArzIWui8FSZkPLuAxLz6Bug8NTeuPCOVyzyuGEQ8qykqvZM8xjylSPE86nwQPaS6CrzW1ay8gu2AvJQUijw6QPS7QTWYu5dJeDzDdYK8ZShZvEcj9Dz6TP07xmPbvK7R0LxTRtY8/huFO5TSJLyh0UA8LBR/OkyvRLwqJYG8DhxKPGzoJj1MK4u65eNVvDpNATwIvIG8Qkb5uuzAJLxqI6Q8Kaigu35gAD2k5Y48vlWUvI/c37vPNLu6Nh7GvMpoXjwazeo7nlMNvAP/hbyQGoI8EIvMvOLBKr3IBYy7Ba/WvOqdF7wftDk8hTq2PGu2HDxW4i07E1utu0U/xrw6fv08mk5Hu0VODLxDYlO7dSCfvGd/fzu7/2c8GmQEvFhSDr1jLnw8OQPPPHOzFrsYrwq8v+HbuqAi5LtIbEo8JCeKOjdRIryULNa73zflOvkHJ7u1J2A8FinBPNNs+LxSvhS92Ur9Oma4h7s7j5a59XjfvCvJD72hXpQ8hnVYvEg3vLwA7Ks8mtjjPI5KCb17rE48q5kivW0lJzriMkM9vl/YPEqI9DssxHq9wTECvfo2gTxsZIC8h/c+PFHhpjsSnV87i1fgvPB0KDzIVSk7/1sLPYiSrLtmuge9hjSnvMaztrwLmTq8sbd6vFuGIjvWE8y8v3HnO7TBOrpHDC69OSvjPIFBSLo7d+I8uaexO7N7prtyt6a8VOeOPNJ4vTuuHOs691odPajruDoTF7Y7O9kuuwCfdLuPBYc766FGvSd2rbrabYK7UvlaPAEekDynTgE9g5NDPLl/aDttjII6R+shO2HpV7yNgA89G5PnO/Cm7zmFA8a6kUB7uwNmNzwwlhS9H5yYuyjgvbs4ZKa7poMtvNLrSDzE+K05EDOuu+eH/LzPV9I7KzbIu471aDxXPV28hCigPMSj/7sfWJ28gpw/vSviQT3LF6c8IUv8PE+sA72E/wq8gUxZvIf/mjxtdwS9A96xPGh9azsq/vi7fMwFu5KyjDziY7O8/9oQO3Cq97yQwJi8kGUYPG8OjzwxXqa8Eld8u2U/C7xR+b28X7MyOz1iVzywF+67eu4avFfG27tvBKG8e5H3PGVm5TppQsg8M1e3PMf1Gbtr0vq8SNhqu1gfezz12pU8jLccPKc1ibwZjrS8qy+EugbpNzs1q4E7IsxeOzLkTLwB/NC8iF7jOhgU/DsTxjC9xEeXvGXlmDwlzxm8YJbWu8FwvLvM1Ck67kcEPFrs1bsXIZe8d8YkPGcPE71KpdG8zJLNO4nl17znngO7+vb3PEPJqTxLRk66KakZvcewXjwxwZU8ygWgvIdz7zp/Bza7oMytuoTnADxq+5O8u482u6Tz57wNbag7tle9vIXf0bzkIWE9rhttvPr2krxoagS9EP83vPdYjjwWxrS8+1OqvHptq7xRnxA8gGeTPHYNnjzFm268kRujOxkEGbq6Z7c8yiagu3zXjTwiels8cMvDOv/VBrzOiDM9pzC9vCo6y7zYjhE8lRsaPcDbgDwvBYa8nJu2u5QgrLymRuo7QMs4vWUgDzy3Da88ty0XvQTSqDvcIEk8oYVWvNdPTrzC85u7UTz2PPWlr7wSS1c8xy8xPGprZLyh0dm8UjmRPLKfzLxEkF8791FkvMtDgjr6aZs6YzmgPPfPL7yIING8BgeHvGtRLD3xytW8kKJ/O/XtkbyNsAq8rIIevEGyJjs4eIS8h78TO6nqnjuH/hG8llx0uhd4ujxSbh06seXfvKWlwLx4DxE8w3oRu0HD9Dzx+nu7ChL/uxqzdrwK/Vc8/Qw1O0qXvLw1igU8rOkNPUFuyTwausY7WEz4vEwDCzxipIY8cCcKPfolljzifJM7jswWPLYHFT0R48U8m30CvNpZijrEhhS99qiDPATx6bsps6s7ZhTDumNFIr2Wufu7tKf+vKHx8zu1w7M7et9MO1926ztSG2s6K8SsPKQmITyafBY8yj2yuT3z3LxVZqs8tdPju3Ur67w1efo7usjOPADU4zyCRYc8d+ONPPbehDtK8Kk7OWWxu+QB3jyaxd686hC5vPbwMjwocEK9TzJ8PJSFhjy6nr287mmOO8oBZzy787o8VbdeO9uuHjx+BNq7UHKqvECipzyMGwO9xgWtu8NVkLx8v/g7esNSvfzujbwagF68CAN/vLc3Gzo+qcC7NYQIPA6u2btfQBC9Ix5+O6oP8Tt4D1i8kgAbPKJP3jymCWc8KHh4POEpcrwF55M8m0qsOzTMhjyal5a8el/uO3MOVD3dmCQ7aSOjOm1Otjs2h8c8UcrFPALY0DyTyMU8wa8YvDitCb1bMyO7HcK8O6tVrDtJ9pY8MDwnvCK7qbwqTOy8Ys4VvDMMrbxQFFm8QAexvAM2/7zV5cO7CgZdPBSEcruDQiw8OKzFOzi5Xbx6J4a8QoECvJGdBryeCdw8Y0EBvR3eC7xIO0q7OIjou9RtJT0pTKc8fiWMuyITDT0gAJ68yqkSO52is7x3lDS8ZKoEvGYTBz3nxgQ8e33QO9Jo0LuLxUK9/jjBu+LIALy2Y6q7kvoIPR1BgLox+uk6t7AFvGXsfruG03478q+dPFvGpzu4xoo6qyEmPHQycjutDb28Tr4/POREejvk7a+8tSGkOcomFr00/p28nOpGPecQQTzOV4o8DtbTPA7DQbl2pug7uKWfPCM4nDzqBuQ7TeCJu9Zb6bzdJTc8vKdnPW0uyTsorxS9muB/vOXVBj02JQg9Xf/6uhacGTwPQJm7CGsHPXf3tDqA8sS8X21ePHpi1Lx3VIa81V2rvFdtt7wKSZo8CJbRvBwO3bxiPjO8AQaJOk41rjz95Q+93ynxujURLDzDG2+71NQwPIs+Hj0oQOE8DbUKvEufkTxV3RW9+NlBPCKUbDzGMnw88vWuPBROsztL8zw8yRnBOy0JSrvyTKu8DUelPO8a5TuYkTu9XadXPM5bXrwJfkk68bc1PAvuH7skIYS82De1O0XjI7scKOE6ZwEQPR/Sk7tdvhw96Zu0PH4Ea7y73zU80bWEPCg39jxx3C08sbijuz+22LzUE5C89Tgtu5uyUrwrthA9remDvFINBL2hesU8zDiCPA8KCj3x2aU8p+sJvZpdjbw6hSE8JqLmOlhNNz2jrz68GgBNujzVkrwolRe8VuFbu8NDC73ZXCU9UYJMvPPgm7ehzeo8tBPEvPliErt5VfG8VlpiOxBqs7uyhJS5F5K4uzeGGj3PyKy7ENdLuwjhXLzivnC7IfdUPUViODx3s068HbkLvBHI1jsG2aA8sq46vDxwET1ZZBU91Hc7OqNyJr2CXwS9Sp3APJdS5jw5qW88Tq8BvPFWuLyQ9pu8EqedvMmDgbzK+PK7zJNmO46VMb0kVQW8pIVNu7c74rzeCnM8mT7fO8x/YDxZ/SK8L3eSvLcX57yHyho9BgB4uknNObxqjlA8HIfyvOpqAD0bK086pMwrvM/nybvYvoE8ZrqWvMdQhjzCw5w8JW+YPF6U37wcR8y8hS7pvGLB+Lpraw29WWokuxPQPTwx4qa5GmV9PAav67wvxKK83NilPFCiorxLG5Q8xOctPA2d9bvsOhE8NuwmvPSMjLv71eO71QGyvITiszyuPQe8rXxXO+u38jwkGH+9UKykO2gF5jxUdUi9GdhkPFVVD7tdNiG8abAxvBya7DzAC4k7QhhOvHVU0TsDApi8jNecu8Ntp7qt6IY7p2mUO4LM+TwjYoK8H2v2vI9Zlrz6U/+78rLXueABAT23qJ68bKi4PFrCKjvp2068f2+KPJfU+rxWOSe6YlEWO8oqgby/Ml08spM8PDHWnDufLue8+gbLPOB+WLyrZM+8+B0hPPsJQT1AF0C80S4duzIgFrym0uI8Afp0PCKZqrqCFNw40BPfO0fDKLzXOyq9bEOEu8PteLxNG008vx3zO23Z07xajEi8locWPD+tRru9Arw8TAXavMhiNjoIvy09SBFFvLZriju8LXq7bWq4PC3Y0LyawX48ca85O/V7JTxspZ27t/yVvIlI7jv1xn+865aHPJ4r5TmxUF08dG/OPGcMgzxTt1W8uAGZPKkyAz0I/FO7WSb2PJCHszwK5WE8fxPOu0mneDwg9XE6sQi8O+EelbnSmp87m+VkPNptQbwxSrY7b7j5N5Yanbsv21k7aTdoO/3bljxkBYE6iR7BvCyOzzxk4sK8otP2vFWat7zZlIk8pbggvMkyrbxB+TG8EOKOu27eGzyYqeI7xq7CusGQEjuANlC8CXMIvTaXd7vgr2o8UkkyPA2LLL1nRBI8Co/YuwJrhbxNX687daD+vOGtOjxWqoI88drJusAFCL1D0c26o9d9vC8paLwdt7s8rPuZPN/6tzuPouC6uAyePBFyRTzvK+Y8vXKuvKC/RLtT40Q8NidyvIJzXDyAN628K8nCPALnBb2Ad5+7Ejy2uxoEqrylnEc9sxugOyulAjxSqtO7FT6wvBRQdDtDbBE6ljO2PEHekTxi2Tq7FDy/uzlHBLtHWwA8xFECPQ/OzTsCh7W7aJRUPN9f67wyu008g55Zu70O7LyJ/Qk9T8jcu3adBD2ZeZo83cyOu/W/KDuz2BG8L+rEvKAFErxP5uG8dw+vO3dFRLy6s5E7mzSWPOGprTxRt8K7nYOTOyB3sLwx6Mi8auprvBzKuDxAl2+8kEyUPH824rsV6+g8YDOrPDOCgDkyKgm80Yd/POvsazyPsCi70SkjPJ4WVrwkPRy9wZLuvNucKrpR8CW9+ggRPBQeDb0z0UW72X3Mu4mXuTvkUYu6Szj7vASduzwcSG471NzGOnDQOLwo5ri8//SfvCDWkrzIIiW8P+Q2vEbIjTwpT7S8uIOSPPkilrztmGM94U0cPYAkAjy4hyo747PbO8E13LxlBZo71/aSPBr/C7svyEi7i+8gvWewbzyFyc86QLXkOqSVmDwycYs7H+IivZeMJL2lSow8tA7rvILrQzwxuYQ80AW6vF62qrzlzVk8cZByPPLhzDya2QM8ukHEu8LQBL2hs9o8zD1XPES6AT12Wn28DyYQPKaRjjxqEZC7013MPF4LtLuc1RI8wJdvPF98OzwI2Ey8jOsXve02ZbwCwv08kYIOvL4gCj1ZC5+7+gaOPLkW1bx0lUS9ryDWO/p98bsu4dk7zQE8PCJ1iTvDt7S8i5SfPC7dEbzH+Qs8zkLaPNb5lzzZwBs7HPBdvDXnMjweW5O8kraSPLfN3jzJIkG9YbU6u+y+wjyV02c7JLM3vKJIZzzHMGM8WYgFPGj1WbxQMKS78hXJOwBi1Ls67SK8i5QcPQU2uDxOK7o8DgB+vOc/zDxSUR26MaaMO4qmYjzVFPU8tBAhPJ4fID0rcRM7BaO6vL1b9DzcMb67+DX6POa07LtRTR67zME+POdhLDnwDD49kNisPNzXgDzfE0Q8wPNfvNUiD73BQVG8b1moPCn7TTwDioU7TclPvNLYH7yT4TY8PbR6vLcTjDr+y7o8vZ/CPPyl9zwTA0c8CRjzO6lJlzvgjvW75c8EPPawoDy/AlU8Z9YGPA51sryAdA+9PBp5u7rZkTxX2Ck9gYaJvCh7ZLwrhPi6Zd4BvdgLZryZ/Lg84Yrcu9sY17o+EAg9DFY9OMTMCz2sk5U8woibPNd9GrxDTpe6ooicupNcFDwJk4g7fOuJOwt0ET0EkYQ7Clz/PG3QyTw8g5Y8bIOsvIryvDzlDGY8I7ArvWdzy7vyHwy9t5+fOxrHWzy5Etu85bCVPEj8SrxeRYm830JovD2ipLzLgZo8n+dJPH+nMjwsCWI8p18CuyYVgbwe+Gi7N1htvH/85LnU16C6SRhwPJ1Q+DuHlIe8kXuZPDw2Lzz9SSC8e+OGOmdNwTzF4Pm6qVjPO/nTHzzzU9y7slxCvAKHMTyUnWY8Jy/tvP8McLxzA1+8ciqjvNQclLxojMQ8GzxWO2nw4jpQthg5/NOqu4/vu7uFzkC81fLLPEAbRzrLYcC8jabYvNwqijtrWf+7ESOPPMiKhrxY9pS7jXWQO8vf1byYrsy8KgiRPOfGmzvAboM8PujIvC/KMbycAys8rYaEO6Xkrbw6Tqc8sfJmOxxjnTqSneS8xU2fOkqMi7xNfJu8RjYPvFm/yrz07Yo84NJ2vGg5sLynqkk86aobvPXNf7yA/ww8vKxkux+4/byiu1u6+y50u0v1Ozx66OO8PyvpOwF7ALwR4jq6uQZkvAm94LkeGe+8BuWWOqqaIL1rN5U7vSWWvCn5ZjzVR7+7Rr3lPJMyQLzSdou8iCMBvLjkEDtZNcu8yFutOw==
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 9
- total_tokens: 9
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3359'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
- name: search_and_answer
- id: call_fyjvbzmq
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_fyjvbzmq
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
response:
headers:
content-length:
@@ -1914,24 +662,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: Very low relevance. Need new query.
+ reasoning: Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"adaptations terrestrial marine aerial animals physiology behavior differences"}'
+ arguments: '{"limit":10,"query":"major taxonomic groups of animals mammals birds reptiles amphibians fish basic
+ anatomy reproduction"}'
name: search_and_answer
- id: call_8z06gj6q
+ id: call_d67ctfbj
index: 0
type: function
- created: 1766762097
- id: chatcmpl-834
+ created: 1766862015
+ id: chatcmpl-680
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 45
- prompt_tokens: 736
- total_tokens: 781
+ completion_tokens: 46
+ prompt_tokens: 638
+ total_tokens: 684
status:
code: 200
message: OK
@@ -1944,7 +693,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '147'
+ - '169'
content-type:
- application/json
host:
@@ -1953,7 +702,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - adaptations terrestrial marine aerial animals physiology behavior differences
+ - major taxonomic groups of animals mammals birds reptiles amphibians fish basic anatomy reproduction
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -1964,14 +713,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 10
- total_tokens: 10
+ prompt_tokens: 17
+ total_tokens: 17
status:
code: 200
message: OK
@@ -1984,7 +733,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3882'
+ - '3452'
content-type:
- application/json
host:
@@ -2037,46 +786,29 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
+ - content: What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians,
+ and fish) and how do they differ in basic anatomy and reproduction?
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
+ arguments: '{"limit":10,"query":"major taxonomic groups of animals mammals birds reptiles amphibians fish basic
+ anatomy reproduction"}'
name: search_and_answer
- id: call_fyjvbzmq
+ id: call_d67ctfbj
type: function
- content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.03)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_fyjvbzmq
- - content: |-
-
- Very low relevance. Need new query.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptations terrestrial marine aerial animals physiology behavior differences"}'
- name: search_and_answer
- id: call_8z06gj6q
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_8z06gj6q
+ tool_call_id: call_d67ctfbj
model: gpt-oss
reasoning_effort: low
stream: false
@@ -2131,193 +863,7 @@ interactions:
response:
headers:
content-length:
- - '350'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: I couldn’t find relevant information in the available documents.
- role: assistant
- created: 1766762106
- id: chatcmpl-410
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 15
- prompt_tokens: 856
- total_tokens: 871
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '4110'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
- name: search_and_answer
- id: call_fyjvbzmq
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_fyjvbzmq
- - content: |-
-
- Very low relevance. Need new query.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptations terrestrial marine aerial animals physiology behavior differences"}'
- name: search_and_answer
- id: call_8z06gj6q
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_8z06gj6q
- - content: I couldn’t find relevant information in the available documents.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '692'
+ - '585'
content-type:
- application/json
parsed_body:
@@ -2326,25 +872,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to respond via final_result tool. We still can't find docs. Let's do another search with different
- keywords maybe "adaptation terrestrial marine and aerial animals".
+ reasoning: Low result. Need different query.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"adaptation terrestrial marine aerial animal physiology behavior"}'
+ arguments: '{"limit":10,"query":"vertebrate taxonomy groups mammals birds reptiles amphibians fish anatomy reproduction
+ comparison"}'
name: search_and_answer
- id: call_y0ts81w1
+ id: call_vl9d6xwm
index: 0
type: function
- created: 1766762112
- id: chatcmpl-526
+ created: 1766862017
+ id: chatcmpl-397
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 68
- prompt_tokens: 896
- total_tokens: 964
+ completion_tokens: 48
+ prompt_tokens: 759
+ total_tokens: 807
status:
code: 200
message: OK
@@ -2357,7 +903,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '133'
+ - '167'
content-type:
- application/json
host:
@@ -2366,7 +912,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - adaptation terrestrial marine aerial animal physiology behavior
+ - vertebrate taxonomy groups mammals birds reptiles amphibians fish anatomy reproduction comparison
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -2377,836 +923,7 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 9
- total_tokens: 9
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '4759'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
- name: search_and_answer
- id: call_fyjvbzmq
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_fyjvbzmq
- - content: |-
-
- Very low relevance. Need new query.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptations terrestrial marine aerial animals physiology behavior differences"}'
- name: search_and_answer
- id: call_8z06gj6q
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_8z06gj6q
- - content: I couldn’t find relevant information in the available documents.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- - content: |-
-
- We need to respond via final_result tool. We still can't find docs. Let's do another search with different keywords maybe "adaptation terrestrial marine and aerial animals".
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptation terrestrial marine aerial animal physiology behavior"}'
- name: search_and_answer
- id: call_y0ts81w1
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_y0ts81w1
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
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- maximum: 1.0
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- type: number
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- type: string
- required:
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- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
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- content-type:
- - application/json
- parsed_body:
- choices:
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- index: 0
- message:
- content: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0.0,"query":"How
- do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?"}'
- role: assistant
- created: 1766762117
- id: chatcmpl-49
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 60
- prompt_tokens: 1039
- total_tokens: 1099
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
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- host:
- - localhost:11434
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- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"animals adapt physiology behavior terrestrial marine aerial environments"}'
- name: search_and_answer
- id: call_fyjvbzmq
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_fyjvbzmq
- - content: |-
-
- Very low relevance. Need new query.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptations terrestrial marine aerial animals physiology behavior differences"}'
- name: search_and_answer
- id: call_8z06gj6q
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_8z06gj6q
- - content: I couldn’t find relevant information in the available documents.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- - content: |-
-
- We need to respond via final_result tool. We still can't find docs. Let's do another search with different keywords maybe "adaptation terrestrial marine and aerial animals".
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"adaptation terrestrial marine aerial animal physiology behavior"}'
- name: search_and_answer
- id: call_y0ts81w1
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_y0ts81w1
- - content: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0.0,"query":"How
- do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?"}'
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
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- name: search_and_answer
- parameters:
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- properties:
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- - type: 'null'
- default: null
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- - function:
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- properties:
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- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '698'
- content-type:
- - application/json
- parsed_body:
- choices:
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- index: 0
- message:
- content: ''
- reasoning: We need to use final_result tool.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"query":"How
- do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?"}'
- name: final_result
- id: call_tdu63det
- index: 0
- type: function
- created: 1766762119
- id: chatcmpl-837
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 73
- prompt_tokens: 1114
- total_tokens: 1187
- status:
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- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '2894'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the most significant threats to animal populations worldwide, and what conservation strategies are
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- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
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- name: search_and_answer
- parameters:
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- - type: 'null'
- default: null
- query:
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- required:
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- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
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- properties:
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- description: The answer to the question
- type: string
- cited_chunks:
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- items:
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- confidence:
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- description: Confidence score for this answer (0-1)
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- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
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- content-type:
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- parsed_body:
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- index: 0
- message:
- content: ''
- reasoning: Need to search.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"most significant threats to animal populations worldwide conservation strategies
- being implemented"}'
- name: search_and_answer
- id: call_kyh5d892
- index: 0
- type: function
- created: 1766762131
- id: chatcmpl-974
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 43
- prompt_tokens: 624
- total_tokens: 667
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
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- - '168'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - most significant threats to animal populations worldwide conservation strategies being implemented
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
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- data:
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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 12
- total_tokens: 12
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3418'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the most significant threats to animal populations worldwide, and what conservation strategies are
- being implemented to address them?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"most significant threats to animal populations worldwide conservation strategies
- being implemented"}'
- name: search_and_answer
- id: call_kyh5d892
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_kyh5d892
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '605'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: No relevant results. Need different keywords.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":10,"query":"global threats to wildlife biodiversity loss poaching habitat loss climate
- change conservation strategies"}'
- name: search_and_answer
- id: call_qthqfdzy
- index: 0
- type: function
- created: 1766762145
- id: chatcmpl-154
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 50
- prompt_tokens: 742
- total_tokens: 792
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '175'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - global threats to wildlife biodiversity loss poaching habitat loss climate change conservation strategies
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
- - embedding: 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
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
@@ -3226,7 +943,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3980'
+ - '3994'
content-type:
- application/json
host:
@@ -3279,49 +996,49 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the most significant threats to animal populations worldwide, and what conservation strategies are
- being implemented to address them?
+ - content: What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians,
+ and fish) and how do they differ in basic anatomy and reproduction?
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"most significant threats to animal populations worldwide conservation strategies
- being implemented"}'
+ arguments: '{"limit":10,"query":"major taxonomic groups of animals mammals birds reptiles amphibians fish basic
+ anatomy reproduction"}'
name: search_and_answer
- id: call_kyh5d892
+ id: call_d67ctfbj
type: function
- content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.03)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_kyh5d892
+ tool_call_id: call_d67ctfbj
- content: |-
- No relevant results. Need different keywords.
+ Low result. Need different query.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"global threats to wildlife biodiversity loss poaching habitat loss climate change
- conservation strategies"}'
+ arguments: '{"limit":10,"query":"vertebrate taxonomy groups mammals birds reptiles amphibians fish anatomy reproduction
+ comparison"}'
name: search_and_answer
- id: call_qthqfdzy
+ id: call_vl9d6xwm
type: function
- content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.03)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_qthqfdzy
+ tool_call_id: call_vl9d6xwm
model: gpt-oss
reasoning_effort: low
stream: false
@@ -3376,7 +1093,794 @@ interactions:
response:
headers:
content-length:
- - '348'
+ - '433'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: stop
+ index: 0
+ message:
+ content: |-
+
+ No relevant data. Can't answer.I’m sorry, but I couldn’t find any reliable information on this topic in the available sources.
+ role: assistant
+ created: 1766862019
+ id: chatcmpl-446
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 40
+ prompt_tokens: 882
+ total_tokens: 922
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4288'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians,
+ and fish) and how do they differ in basic anatomy and reproduction?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":10,"query":"major taxonomic groups of animals mammals birds reptiles amphibians fish basic
+ anatomy reproduction"}'
+ name: search_and_answer
+ id: call_d67ctfbj
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.03)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_d67ctfbj
+ - content: |-
+
+ Low result. Need different query.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":10,"query":"vertebrate taxonomy groups mammals birds reptiles amphibians fish anatomy reproduction
+ comparison"}'
+ name: search_and_answer
+ id: call_vl9d6xwm
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.03)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_vl9d6xwm
+ - content: |2-
+
+ No relevant data. Can't answer.I’m sorry, but I couldn’t find any reliable information on this topic in the available sources.
+ role: assistant
+ - content: |-
+ Validation feedback:
+ Please include your response in a tool call.
+
+ Fix the errors and try again.
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '797'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need to use final_result tool.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"answer":"I’m sorry, but I couldn’t find any reliable information on this topic in the available
+ sources.","cited_chunks":[],"confidence":0,"query":"What are the major taxonomic groups of animals (including
+ examples from mammals, birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and
+ reproduction?"}'
+ name: final_result
+ id: call_4zh4hjnb
+ index: 0
+ type: function
+ created: 1766862023
+ id: chatcmpl-886
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 99
+ prompt_tokens: 938
+ total_tokens: 1037
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '2959'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: How are animals distributed worldwide, and what key environmental factors influence the diversity of animal
+ species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '616'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need search.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"animals distributed worldwide key environmental factors influence diversity
+ species ecosystems tropical rainforest desert marine reef temperate forest"}'
+ name: search_and_answer
+ id: call_wnrspgzf
+ index: 0
+ type: function
+ created: 1766862025
+ id: chatcmpl-222
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 49
+ prompt_tokens: 638
+ total_tokens: 687
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '220'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - animals distributed worldwide key environmental factors influence diversity species ecosystems tropical rainforest
+ desert marine reef temperate forest
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '3532'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: How are animals distributed worldwide, and what key environmental factors influence the diversity of animal
+ species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"animals distributed worldwide key environmental factors influence diversity species
+ ecosystems tropical rainforest desert marine reef temperate forest"}'
+ name: search_and_answer
+ id: call_wnrspgzf
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_wnrspgzf
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '631'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: No relevant results. Need other keywords.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"global distribution of animal species environmental factors diversity ecosystems
+ tropical rainforest desert marine reef temperate forest"}'
+ name: search_and_answer
+ id: call_loliuhw5
+ index: 0
+ type: function
+ created: 1766862028
+ id: chatcmpl-727
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 53
+ prompt_tokens: 762
+ total_tokens: 815
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '206'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - global distribution of animal species environmental factors diversity ecosystems tropical rainforest desert marine
+ reef temperate forest
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 19
+ total_tokens: 19
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4120'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: How are animals distributed worldwide, and what key environmental factors influence the diversity of animal
+ species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"animals distributed worldwide key environmental factors influence diversity species
+ ecosystems tropical rainforest desert marine reef temperate forest"}'
+ name: search_and_answer
+ id: call_wnrspgzf
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_wnrspgzf
+ - content: |-
+
+ No relevant results. Need other keywords.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"global distribution of animal species environmental factors diversity ecosystems
+ tropical rainforest desert marine reef temperate forest"}'
+ name: search_and_answer
+ id: call_loliuhw5
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_loliuhw5
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '347'
content-type:
- application/json
parsed_body:
@@ -3386,15 +1890,15 @@ interactions:
message:
content: I couldn't find relevant information in the available documents.
role: assistant
- created: 1766762150
- id: chatcmpl-103
+ created: 1766862030
+ id: chatcmpl-60
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 14
- prompt_tokens: 867
- total_tokens: 881
+ prompt_tokens: 890
+ total_tokens: 904
status:
code: 200
message: OK
@@ -3407,7 +1911,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4206'
+ - '4346'
content-type:
- application/json
host:
@@ -3460,49 +1964,49 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the most significant threats to animal populations worldwide, and what conservation strategies are
- being implemented to address them?
+ - content: How are animals distributed worldwide, and what key environmental factors influence the diversity of animal
+ species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"most significant threats to animal populations worldwide conservation strategies
- being implemented"}'
+ arguments: '{"limit":5,"query":"animals distributed worldwide key environmental factors influence diversity species
+ ecosystems tropical rainforest desert marine reef temperate forest"}'
name: search_and_answer
- id: call_kyh5d892
+ id: call_wnrspgzf
type: function
- content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_kyh5d892
+ tool_call_id: call_wnrspgzf
- content: |-
- No relevant results. Need different keywords.
+ No relevant results. Need other keywords.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"global threats to wildlife biodiversity loss poaching habitat loss climate change
- conservation strategies"}'
+ arguments: '{"limit":5,"query":"global distribution of animal species environmental factors diversity ecosystems
+ tropical rainforest desert marine reef temperate forest"}'
name: search_and_answer
- id: call_qthqfdzy
+ id: call_loliuhw5
type: function
- content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_qthqfdzy
+ tool_call_id: call_loliuhw5
- content: I couldn't find relevant information in the available documents.
role: assistant
- content: |-
@@ -3565,7 +2069,7 @@ interactions:
response:
headers:
content-length:
- - '731'
+ - '798'
content-type:
- application/json
parsed_body:
@@ -3574,26 +2078,26 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to output via final_result.
+ reasoning: Need to use final_result function.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"question":"What
- are the most significant threats to animal populations worldwide, and what conservation strategies are being
- implemented to address them?"}'
+ arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0.1,"query":"How
+ are animals distributed worldwide, and what key environmental factors influence the diversity of animal species
+ in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?"}'
name: final_result
- id: call_i1kff0ah
+ id: call_i36e9wei
index: 0
type: function
- created: 1766762155
- id: chatcmpl-998
+ created: 1766862034
+ id: chatcmpl-917
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 75
- prompt_tokens: 906
- total_tokens: 981
+ completion_tokens: 90
+ prompt_tokens: 929
+ total_tokens: 1019
status:
code: 200
message: OK
@@ -3606,7 +2110,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '5257'
+ - '2976'
content-type:
- application/json
host:
@@ -3659,93 +2163,9 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the most significant threats to animal populations worldwide, and what conservation strategies are
- being implemented to address them?
+ - content: What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species)
+ that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"most significant threats to animal populations worldwide conservation strategies
- being implemented"}'
- name: search_and_answer
- id: call_kyh5d892
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_kyh5d892
- - content: |-
-
- No relevant results. Need different keywords.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":10,"query":"global threats to wildlife biodiversity loss poaching habitat loss climate change
- conservation strategies"}'
- name: search_and_answer
- id: call_qthqfdzy
- type: function
- - content: |-
- [47474f0b-3c8c-4885-bec6-6aac264aa222] (score: 0.02)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_qthqfdzy
- - content: I couldn't find relevant information in the available documents.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- - content: |-
-
- Need to output via final_result.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"question":"What
- are the most significant threats to animal populations worldwide, and what conservation strategies are being
- implemented to address them?"}'
- name: final_result
- id: call_i1kff0ah
- type: function
- - content: |-
- 1 validation error:
- ```json
- [
- {
- "type": "missing",
- "loc": [
- "query"
- ],
- "msg": "Field required",
- "input": {
- "answer": "I couldn't find relevant information in the available documents.",
- "cited_chunks": [],
- "confidence": 0,
- "question": "What are the most significant threats to animal populations worldwide, and what conservation strategies are being implemented to address them?"
- }
- }
- ]
- ```
-
- Fix the errors and try again.
- role: tool
- tool_call_id: call_i1kff0ah
model: gpt-oss
reasoning_effort: low
stream: false
@@ -3800,7 +2220,7 @@ interactions:
response:
headers:
content-length:
- - '717'
+ - '597'
content-type:
- application/json
parsed_body:
@@ -3809,26 +2229,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need 'query' field.
+ reasoning: Need to search.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"query":"What
- are the most significant threats to animal populations worldwide, and what conservation strategies are being
- implemented to address them?"}'
- name: final_result
- id: call_c0b1aevm
+ arguments: '{"limit":5,"query":"primary ecological roles animals predators prey pollinators decomposers keystone
+ species impact ecosystem stability biodiversity"}'
+ name: search_and_answer
+ id: call_7cdujcer
index: 0
type: function
- created: 1766762161
- id: chatcmpl-508
+ created: 1766862036
+ id: chatcmpl-979
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 72
- prompt_tokens: 1107
- total_tokens: 1179
+ completion_tokens: 53
+ prompt_tokens: 646
+ total_tokens: 699
status:
code: 200
message: OK
@@ -3841,7 +2260,645 @@ interactions:
connection:
- keep-alive
content-length:
- - '2944'
+ - '198'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - primary ecological roles animals predators prey pollinators decomposers keystone species impact ecosystem stability
+ biodiversity
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 20
+ total_tokens: 20
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '3530'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species)
+ that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
+ role: user
+ - content: |-
+
+ Need to search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"primary ecological roles animals predators prey pollinators decomposers keystone
+ species impact ecosystem stability biodiversity"}'
+ name: search_and_answer
+ id: call_7cdujcer
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_7cdujcer
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '600'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: No useful results. Try general search.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"ecological roles animals predators pollinators decomposers keystone species
+ ecosystem stability biodiversity"}'
+ name: search_and_answer
+ id: call_5roh7yd3
+ index: 0
+ type: function
+ created: 1766862038
+ id: chatcmpl-818
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 53
+ prompt_tokens: 772
+ total_tokens: 825
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '178'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - ecological roles animals predators pollinators decomposers keystone species ecosystem stability biodiversity
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 18
+ total_tokens: 18
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4087'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species)
+ that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
+ role: user
+ - content: |-
+
+ Need to search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"primary ecological roles animals predators prey pollinators decomposers keystone
+ species impact ecosystem stability biodiversity"}'
+ name: search_and_answer
+ id: call_7cdujcer
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_7cdujcer
+ - content: |-
+
+ No useful results. Try general search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"ecological roles animals predators pollinators decomposers keystone species ecosystem
+ stability biodiversity"}'
+ name: search_and_answer
+ id: call_5roh7yd3
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_5roh7yd3
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '421'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: stop
+ index: 0
+ message:
+ content: I’m sorry, but I couldn’t find any reliable information on that topic in the available documents.
+ reasoning: No data. Can't answer.
+ role: assistant
+ created: 1766862040
+ id: chatcmpl-66
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 36
+ prompt_tokens: 900
+ total_tokens: 936
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4395'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species)
+ that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
+ role: user
+ - content: |-
+
+ Need to search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"primary ecological roles animals predators prey pollinators decomposers keystone
+ species impact ecosystem stability biodiversity"}'
+ name: search_and_answer
+ id: call_7cdujcer
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_7cdujcer
+ - content: |-
+
+ No useful results. Try general search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"ecological roles animals predators pollinators decomposers keystone species ecosystem
+ stability biodiversity"}'
+ name: search_and_answer
+ id: call_5roh7yd3
+ type: function
+ - content: |-
+ [6bbfc5d9-ac72-42d4-a7fd-a23315d49c68] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_5roh7yd3
+ - content: |-
+
+ No data. Can't answer.
+
+
+ I’m sorry, but I couldn’t find any reliable information on that topic in the available documents.
+ role: assistant
+ - content: |-
+ Validation feedback:
+ Please include your response in a tool call.
+
+ Fix the errors and try again.
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '851'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: We must use function final_result.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"answer":"I’m sorry, but I couldn’t find any reliable information on that topic in the available
+ documents.","cited_chunks":[],"confidence":0,"query":"What are some primary ecological roles (such as predators,
+ prey, pollinators, decomposers, and keystone species) that animals perform in natural ecosystems, and how
+ do these roles impact ecosystem stability and biodiversity?"}'
+ name: final_result
+ id: call_ibo0m6v1
+ index: 0
+ type: function
+ created: 1766862045
+ id: chatcmpl-577
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 107
+ prompt_tokens: 961
+ total_tokens: 1068
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '3264'
content-type:
- application/json
host:
@@ -3879,20 +2936,20 @@ interactions:
-
- What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each group?
- I’m sorry, I don’t have enough information on that topic.
+ What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and reproduction?
+ I’m sorry, but I couldn’t find any reliable information on this topic in the available sources.
0.0
-
- How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
+ How are animals distributed worldwide, and what key environmental factors influence the diversity of animal species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
I couldn't find relevant information in the available documents.
- 0.0
+ 0.1
-
- What are the most significant threats to animal populations worldwide, and what conservation strategies are being implemented to address them?
- I couldn't find relevant information in the available documents.
+ What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
+ I’m sorry, but I couldn’t find any reliable information on that topic in the available documents.
0.0
@@ -3937,7 +2994,7 @@ interactions:
response:
headers:
content-length:
- - '986'
+ - '1163'
content-type:
- application/json
parsed_body:
@@ -3946,28 +3003,30 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to evaluate. All answers 0 confidence, no sources. So insufficient. Provide is_sufficient false,
- confidence 0, reasoning, no new questions needed? But could propose new questions.
+ reasoning: 'Need evaluate: all answers are missing. Not sufficient. confidence low. Provide new questions? Maybe
+ ask for specific information sources.'
role: assistant
tool_calls:
- function:
- arguments: '{"confidence_score":0,"is_sufficient":false,"new_questions":[],"reasoning":"All answer attempts
- returned no information and confidence 0, with no supporting sources. The original question “Tell me about
- animals” is broad; none of the provided evidence covers any key aspects of animal biology, diversity, or conservation.
- Therefore the research is insufficient."}'
+ arguments: '{"confidence_score":0,"is_sufficient":false,"new_questions":["What reliable sources can be consulted
+ to answer the taxonomic and anatomical differences among major animal groups?","Which global distributions
+ and environmental factors should be considered for each major ecosystem type?","How can the primary ecological
+ roles of animals be quantified in terms of ecosystem stability and biodiversity?"],"reasoning":"All current
+ responses lack reliable information, with confidence scores of 0 or 0.1. No key aspects of the original question
+ are covered, so the evidence is insufficient."}'
name: final_result
- id: call_f3og05ob
+ id: call_kt104qwt
index: 0
type: function
- created: 1766762171
- id: chatcmpl-227
+ created: 1766862051
+ id: chatcmpl-146
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 133
- prompt_tokens: 605
- total_tokens: 738
+ completion_tokens: 155
+ prompt_tokens: 677
+ total_tokens: 832
status:
code: 200
message: OK
@@ -3980,7 +3039,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3946'
+ - '4679'
content-type:
- application/json
host:
@@ -4023,23 +3082,27 @@ interactions:
Tell me about animals
-
+
+ - What reliable sources can be consulted to answer the taxonomic and anatomical differences among major animal groups?
+ - Which global distributions and environmental factors should be considered for each major ecosystem type?
+ - How can the primary ecological roles of animals be quantified in terms of ecosystem stability and biodiversity?
+
-
- What are the main taxonomic groups of animals that humans commonly encounter, and what distinguishes each group?
- I’m sorry, I don’t have enough information on that topic.
+ What are the major taxonomic groups of animals (including examples from mammals, birds, reptiles, amphibians, and fish) and how do they differ in basic anatomy and reproduction?
+ I’m sorry, but I couldn’t find any reliable information on this topic in the available sources.
0.0
-
- How do animals adapt their physiology and behavior to living in terrestrial, marine, and aerial environments?
+ How are animals distributed worldwide, and what key environmental factors influence the diversity of animal species in different ecosystems (e.g., tropical rainforest, desert, marine reef, temperate forest)?
I couldn't find relevant information in the available documents.
- 0.0
+ 0.1
-
- What are the most significant threats to animal populations worldwide, and what conservation strategies are being implemented to address them?
- I couldn't find relevant information in the available documents.
+ What are some primary ecological roles (such as predators, prey, pollinators, decomposers, and keystone species) that animals perform in natural ecosystems, and how do these roles impact ecosystem stability and biodiversity?
+ I’m sorry, but I couldn’t find any reliable information on that topic in the available documents.
0.0
@@ -4101,39 +3164,41 @@ interactions:
uri: http://localhost:11434/v1/chat/completions
response:
headers:
- content-length:
- - '1105'
content-type:
- application/json
+ transfer-encoding:
+ - chunked
parsed_body:
choices:
- - finish_reason: tool_calls
+ - finish_reason: stop
index: 0
message:
- content: ''
- reasoning: We have no evidence. So we must state that no info available.
+ content: '{"title":"Information Gaps on Animal Biology and Ecology","executive_summary":"No reliable sources were
+ found to answer the questions about taxonomic differences, global distributions, environmental influences, or
+ ecological roles of animals. Consequently, no substantive findings, conclusions, or recommendations can be provided
+ based on available evidence.","main_findings":["No credible documents addressing taxonomic differences among major
+ animal groups were located.","No records detailing worldwide animal distribution or environmental determinants
+ were found.","No literature outlining primary ecological roles and their impacts on ecosystem stability and biodiversity
+ was discovered."],"conclusions":["The investigation could not confirm any information regarding animal taxonomic
+ and anatomical diversity.","The study could not establish patterns of animal distribution or environmental drivers.","The
+ inquiry could not quantify ecological roles of animals in ecosystems."],"recommendations":["Seek peer‑reviewed
+ zoological texts (e.g., Borror & DeLong, \"An Introduction to the Study of Insects\") for taxonomic data.","Consult
+ global biodiversity databases (e.g., GBIF, IUCN Red List) for distribution and environmental correlates.","Use
+ ecological modeling studies (e.g., Lotka‑Volterra, metapopulation models) to assess roles in ecosystem stability."],"limitations":["Absence
+ of accessible, relevant sources within the provided document set.","Potential language or subject‑area gaps in
+ the source corpus.","No empirical data retrieved to support conclusions."],"sources_summary":"No sources available
+ (empty dataset)."}'
+ reasoning: We have no evidence. So report must state lack of evidence.
role: assistant
- tool_calls:
- - function:
- arguments: '{"conclusions":["The research context supplied contains no data to inform the requested topics."],"executive_summary":"No
- reliable sources were found to answer the questions about animal taxonomic groups, physiological adaptation,
- or conservation threats. All inquiries returned no evidence in the provided documents.","limitations":["Empty
- dataset; confidence scores show zero evidence."],"main_findings":[],"recommendations":["Seek reputable biological
- literature, e.g., peer‑reviewed articles or authoritative textbooks."],"sources_summary":"None.","title":"Animals:
- Lack of Supported Data"}'
- name: final_result
- id: call_6894dua5
- index: 0
- type: function
- created: 1766762181
- id: chatcmpl-381
+ created: 1766862064
+ id: chatcmpl-920
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 140
- prompt_tokens: 768
- total_tokens: 908
+ completion_tokens: 315
+ prompt_tokens: 916
+ total_tokens: 1231
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_search_filter/test_search_filter_none_searches_all.yaml b/tests/cassettes/test_search_filter/test_search_filter_none_searches_all.yaml
index dfdc5275..ed7604ae 100644
--- a/tests/cassettes/test_search_filter/test_search_filter_none_searches_all.yaml
+++ b/tests/cassettes/test_search_filter/test_search_filter_none_searches_all.yaml
@@ -1,144 +1,4 @@
interactions:
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
- body:
- string: ''
- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
- - '274'
- content-security-policy:
- - default-src 'none'; sandbox
- content-type:
- - text/plain; charset=utf-8
- cross-origin-opener-policy:
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- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin, Accept
- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
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- headers:
- accept-ranges:
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- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
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- access-control-max-age:
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- age:
- - '3639275'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
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- content-security-policy:
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- content-type:
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- cross-origin-opener-policy:
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- ratelimit:
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- ratelimit-policy:
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- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
- - application/json; charset=utf-8
- cross-origin-opener-policy:
- - same-origin
- etag:
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- ratelimit:
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- ratelimit-policy:
- - '"fixed window";"api";q=1000;w=300'
- referrer-policy:
- - strict-origin-when-cross-origin
- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -179,146 +39,6 @@ interactions:
status:
code: 200
message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/resolve/main/tokenizer_config.json
- response:
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- headers:
- accept-ranges:
- - bytes
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
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- access-control-max-age:
- - '86400'
- connection:
- - keep-alive
- content-disposition:
- - inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";
- content-length:
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- referrer-policy:
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- vary:
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- status:
- code: 307
- message: Temporary Redirect
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - identity
- connection:
- - keep-alive
- method: HEAD
- uri: https://huggingface.co/api/resolve-cache/models/Qwen/Qwen3-Embedding-0.6B/c54f2e6e80b2d7b7de06f51cec4959f6b3e03418/tokenizer_config.json
- response:
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- headers:
- accept-ranges:
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- access-control-allow-origin:
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- access-control-expose-headers:
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- access-control-max-age:
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- connection:
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- referrer-policy:
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- vary:
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- status:
- code: 200
- message: OK
-- request:
- body: null
- headers:
- accept:
- - '*/*'
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- method: GET
- uri: https://huggingface.co/api/models/Qwen/Qwen3-Embedding-0.6B/tree/main/additional_chat_templates?recursive=False&expand=False
- response:
- headers:
- access-control-allow-origin:
- - https://huggingface.co
- access-control-expose-headers:
- - X-Repo-Commit,X-Request-Id,X-Error-Code,X-Error-Message,X-Total-Count,ETag,Link,Accept-Ranges,Content-Range,X-Linked-Size,X-Linked-ETag,X-Xet-Hash
- access-control-max-age:
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- connection:
- - keep-alive
- content-length:
- - '64'
- content-type:
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- cross-origin-opener-policy:
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- etag:
- - W/"40-09f9IAqP13xarAhQxFS2W8rvRkM"
- ratelimit:
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- ratelimit-policy:
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- referrer-policy:
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- vary:
- - Origin
- parsed_body:
- error: additional_chat_templates does not exist on "main"
- status:
- code: 404
- message: Not Found
- request:
headers:
accept:
@@ -448,7 +168,7 @@ interactions:
response:
headers:
content-length:
- - '520'
+ - '529'
content-type:
- application/json
parsed_body:
@@ -457,24 +177,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to call gather_context on main question.
+ reasoning: We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_mz4hlfnh
+ id: call_hmn5zovu
index: 0
type: function
- created: 1766762185
- id: chatcmpl-611
+ created: 1766862074
+ id: chatcmpl-877
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 41
+ completion_tokens: 43
prompt_tokens: 416
- total_tokens: 457
+ total_tokens: 459
status:
code: 200
message: OK
@@ -527,7 +247,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2521'
+ - '2530'
content-type:
- application/json
host:
@@ -567,21 +287,21 @@ interactions:
role: user
- content: |-
- Need to call gather_context on main question.
+ We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_mz4hlfnh
+ id: call_hmn5zovu
type: function
- content: |-
Document about dogs: Dogs are loyal companions that bark.
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_mz4hlfnh
+ tool_call_id: call_hmn5zovu
model: gpt-oss
reasoning_effort: low
stream: false
@@ -624,7 +344,7 @@ interactions:
response:
headers:
content-length:
- - '1419'
+ - '1257'
content-type:
- application/json
parsed_body:
@@ -632,27 +352,25 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: "**Research Plan**\n\n**1. What are the primary characteristics that differentiate the major animal classes
- (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?** \n(This
- provides a broad taxonomy framework and highlights key distinctions that can be applied to all animals.)\n\n**2.
- What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?**
- \ \n(Focuses on mammals—particularly dogs and cats—since the source documents mention them, and explores their
- broader ecological impact.)\n\n**3. How do domesticated animals such as dogs and cats contribute to human society,
- including economic, psychological, and cultural effects, and what trends are emerging in their care and welfare?**
- \ \n(Centric on the two referenced animals to address the request’s “Tell me about animals” in a relevant, human-focused
- context.)\n\nThese three self‑contained questions cover taxonomy, ecological significance, and human‑animal relationships,
- prioritizing breadth and relevance."
- reasoning: Now plan minimal sub-questions.
+ content: "**Plan**\n\n1. **Assess the breadth of available knowledge** \n Gather specific information that exists
+ in the current dataset about animals (e.g., dogs, cats).\n\n2. **Create focused sub‑questions** \n *What are
+ the most common domesticated animals and what roles do they serve for humans?* \n *Which animal species have
+ the longest recorded lifespans in captivity, according to available data?* \n *What are the main ecological
+ functions of apex predators within their ecosystems?*\n\nThese sub‑questions are concise, self‑contained, and
+ cover key aspects of the main question while aligning with the limited evidence available."
+ reasoning: 'We have limited knowledge. Need to plan 3 sub-questions to explore animals. Let''s propose: "What are
+ the most widely domesticated animals and their primary roles?" "Which animal species have the longest lifespan
+ in captivity?" "What are the major ecological roles of apex predators in their ecosystems?"'
role: assistant
- created: 1766762190
- id: chatcmpl-877
+ created: 1766862081
+ id: chatcmpl-210
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 223
- prompt_tokens: 499
- total_tokens: 722
+ completion_tokens: 199
+ prompt_tokens: 501
+ total_tokens: 700
status:
code: 200
message: OK
@@ -665,7 +383,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '5046'
+ - '4452'
content-type:
- application/json
host:
@@ -705,31 +423,30 @@ interactions:
role: user
- content: |-
- Need to call gather_context on main question.
+ We need to call gather_context on main question first.
role: assistant
tool_calls:
- function:
arguments: '{"limit":null,"query":"Tell me about animals"}'
name: gather_context
- id: call_mz4hlfnh
+ id: call_hmn5zovu
type: function
- content: |-
Document about dogs: Dogs are loyal companions that bark.
Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_mz4hlfnh
- - content: "\nNow plan minimal sub-questions.\n\n\n**Research Plan**\n\n**1. What are the primary characteristics
- that differentiate the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of
- anatomy, physiology, and behavior?** \n(This provides a broad taxonomy framework and highlights key distinctions
- that can be applied to all animals.)\n\n**2. What are the dominant ecological roles of mammals in global food webs,
- and how do they influence ecosystem stability?** \n(Focuses on mammals—particularly dogs and cats—since the source
- documents mention them, and explores their broader ecological impact.)\n\n**3. How do domesticated animals such
- as dogs and cats contribute to human society, including economic, psychological, and cultural effects, and what
- trends are emerging in their care and welfare?** \n(Centric on the two referenced animals to address the request’s
- “Tell me about animals” in a relevant, human-focused context.)\n\nThese three self‑contained questions cover taxonomy,
- ecological significance, and human‑animal relationships, prioritizing breadth and relevance."
+ tool_call_id: call_hmn5zovu
+ - content: "\nWe have limited knowledge. Need to plan 3 sub-questions to explore animals. Let's propose: \"What
+ are the most widely domesticated animals and their primary roles?\" \"Which animal species have the longest lifespan
+ in captivity?\" \"What are the major ecological roles of apex predators in their ecosystems?\"\n\n\n**Plan**\n\n1.
+ **Assess the breadth of available knowledge** \n Gather specific information that exists in the current dataset
+ about animals (e.g., dogs, cats).\n\n2. **Create focused sub‑questions** \n *What are the most common domesticated
+ animals and what roles do they serve for humans?* \n *Which animal species have the longest recorded lifespans
+ in captivity, according to available data?* \n *What are the main ecological functions of apex predators within
+ their ecosystems?*\n\nThese sub‑questions are concise, self‑contained, and cover key aspects of the main question
+ while aligning with the limited evidence available."
role: assistant
- content: |-
1 validation error:
@@ -739,7 +456,7 @@ interactions:
"type": "json_invalid",
"loc": [],
"msg": "Invalid JSON: expected value at line 1 column 1",
- "input": "**Research Plan**\n\n**1. What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?** \n(This provides a broad taxonomy framework and highlights key distinctions that can be applied to all animals.)\n\n**2. What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?** \n(Focuses on mammals—particularly dogs and cats—since the source documents mention them, and explores their broader ecological impact.)\n\n**3. How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological, and cultural effects, and what trends are emerging in their care and welfare?** \n(Centric on the two referenced animals to address the request’s “Tell me about animals” in a relevant, human-focused context.)\n\nThese three self‑contained questions cover taxonomy, ecological significance, and human‑animal relationships, prioritizing breadth and relevance."
+ "input": "**Plan**\n\n1. **Assess the breadth of available knowledge** \n Gather specific information that exists in the current dataset about animals (e.g., dogs, cats).\n\n2. **Create focused sub‑questions** \n *What are the most common domesticated animals and what roles do they serve for humans?* \n *Which animal species have the longest recorded lifespans in captivity, according to available data?* \n *What are the main ecological functions of apex predators within their ecosystems?*\n\nThese sub‑questions are concise, self‑contained, and cover key aspects of the main question while aligning with the limited evidence available."
}
]
```
@@ -788,7 +505,7 @@ interactions:
response:
headers:
content-length:
- - '998'
+ - '762'
content-type:
- application/json
parsed_body:
@@ -797,28 +514,26 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to output JSON with sub_questions array.
+ reasoning: We need to output JSON of final_result.
role: assistant
tool_calls:
- function:
- arguments: '{"sub_questions":["What are the primary characteristics that differentiate the major animal classes
- (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?","What
- are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?","How
- do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?"]}'
+ arguments: '{"sub_questions":["What are the most common domesticated animals and what roles do they serve for
+ humans?","Which animal species have the longest recorded lifespans in captivity, according to available data?","What
+ are the main ecological functions of apex predators within their ecosystems?"]}'
name: final_result
- id: call_bipkuicf
+ id: call_3zm48fxt
index: 0
type: function
- created: 1766762201
- id: chatcmpl-833
+ created: 1766862085
+ id: chatcmpl-736
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 130
- prompt_tokens: 1009
- total_tokens: 1139
+ completion_tokens: 84
+ prompt_tokens: 908
+ total_tokens: 992
status:
code: 200
message: OK
@@ -831,7 +546,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2937'
+ - '2838'
content-type:
- application/json
host:
@@ -884,8 +599,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles,
- amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
+ - content: What are the most common domesticated animals and what roles do they serve for humans?
role: user
model: gpt-oss
reasoning_effort: low
@@ -941,7 +655,7 @@ interactions:
response:
headers:
content-length:
- - '602'
+ - '518'
content-type:
- application/json
parsed_body:
@@ -954,21 +668,20 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"primary characteristics differentiate major animal classes mammals birds reptiles
- amphibians fish insects anatomy physiology behavior"}'
+ arguments: '{"limit":5,"query":"most common domesticated animals roles for humans"}'
name: search_and_answer
- id: call_49gu1w2o
+ id: call_chb4p52l
index: 0
type: function
- created: 1766762208
- id: chatcmpl-818
+ created: 1766862088
+ id: chatcmpl-661
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 48
- prompt_tokens: 640
- total_tokens: 688
+ completion_tokens: 40
+ prompt_tokens: 619
+ total_tokens: 659
status:
code: 200
message: OK
@@ -981,7 +694,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '203'
+ - '119'
content-type:
- application/json
host:
@@ -990,8 +703,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - primary characteristics differentiate major animal classes mammals birds reptiles amphibians fish insects anatomy
- physiology behavior
+ - most common domesticated animals roles for humans
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -1002,14 +714,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 18
- total_tokens: 18
+ prompt_tokens: 9
+ total_tokens: 9
status:
code: 200
message: OK
@@ -1022,7 +734,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3656'
+ - '3473'
content-type:
- application/json
host:
@@ -1075,8 +787,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles,
- amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
+ - content: What are the most common domesticated animals and what roles do they serve for humans?
role: user
- content: |-
@@ -1085,25 +796,24 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"primary characteristics differentiate major animal classes mammals birds reptiles
- amphibians fish insects anatomy physiology behavior"}'
+ arguments: '{"limit":5,"query":"most common domesticated animals roles for humans"}'
name: search_and_answer
- id: call_49gu1w2o
+ id: call_chb4p52l
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
+
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_49gu1w2o
+ tool_call_id: call_chb4p52l
model: gpt-oss
reasoning_effort: low
stream: false
@@ -1158,7 +868,7 @@ interactions:
response:
headers:
content-length:
- - '592'
+ - '598'
content-type:
- application/json
parsed_body:
@@ -1167,25 +877,24 @@ interactions:
index: 0
message:
content: ''
- reasoning: Result irrelevant. Need broader search.
+ reasoning: 'Very low scores; likely nothing. Need better query: "common domesticated animals and roles for human"'
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"mammal reptile amphibian fish bird insect anatomical physiological behavioral
- differences overview"}'
+ arguments: '{"limit":10,"query":"common domesticated animals roles humans"}'
name: search_and_answer
- id: call_vtqjj2wn
+ id: call_i2b67pyf
index: 0
type: function
- created: 1766762214
- id: chatcmpl-114
+ created: 1766862091
+ id: chatcmpl-923
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 50
- prompt_tokens: 819
- total_tokens: 869
+ completion_tokens: 55
+ prompt_tokens: 791
+ total_tokens: 846
status:
code: 200
message: OK
@@ -1198,7 +907,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '168'
+ - '110'
content-type:
- application/json
host:
@@ -1207,7 +916,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - mammal reptile amphibian fish bird insect anatomical physiological behavioral differences overview
+ - common domesticated animals roles humans
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -1218,14 +927,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 17
- total_tokens: 17
+ prompt_tokens: 7
+ total_tokens: 7
status:
code: 200
message: OK
@@ -1238,7 +947,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4365'
+ - '4188'
content-type:
- application/json
host:
@@ -1291,8 +1000,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles,
- amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
+ - content: What are the most common domesticated animals and what roles do they serve for humans?
role: user
- content: |-
@@ -1301,51 +1009,49 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"primary characteristics differentiate major animal classes mammals birds reptiles
- amphibians fish insects anatomy physiology behavior"}'
+ arguments: '{"limit":5,"query":"most common domesticated animals roles for humans"}'
name: search_and_answer
- id: call_49gu1w2o
+ id: call_chb4p52l
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
+
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_49gu1w2o
+ tool_call_id: call_chb4p52l
- content: |-
- Result irrelevant. Need broader search.
+ Very low scores; likely nothing. Need better query: "common domesticated animals and roles for human"
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"mammal reptile amphibian fish bird insect anatomical physiological behavioral
- differences overview"}'
+ arguments: '{"limit":10,"query":"common domesticated animals roles humans"}'
name: search_and_answer
- id: call_vtqjj2wn
+ id: call_i2b67pyf
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
+
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_vtqjj2wn
+ tool_call_id: call_i2b67pyf
model: gpt-oss
reasoning_effort: low
stream: false
@@ -1400,7 +1106,7 @@ interactions:
response:
headers:
content-length:
- - '477'
+ - '384'
content-type:
- application/json
parsed_body:
@@ -1408,19 +1114,17 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: |-
-
- No relevant data found in the knowledge base. Unable to answer.I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.
+ content: I’m sorry, but I couldn’t locate reliable information on this topic in the available documents.
role: assistant
- created: 1766762218
- id: chatcmpl-792
+ created: 1766862092
+ id: chatcmpl-286
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 47
- prompt_tokens: 1000
- total_tokens: 1047
+ completion_tokens: 23
+ prompt_tokens: 978
+ total_tokens: 1001
status:
code: 200
message: OK
@@ -1433,7 +1137,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4701'
+ - '4449'
content-type:
- application/json
host:
@@ -1486,8 +1190,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles,
- amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
+ - content: What are the most common domesticated animals and what roles do they serve for humans?
role: user
- content: |-
@@ -1496,54 +1199,50 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"primary characteristics differentiate major animal classes mammals birds reptiles
- amphibians fish insects anatomy physiology behavior"}'
+ arguments: '{"limit":5,"query":"most common domesticated animals roles for humans"}'
name: search_and_answer
- id: call_49gu1w2o
+ id: call_chb4p52l
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
+
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
role: tool
- tool_call_id: call_49gu1w2o
+ tool_call_id: call_chb4p52l
- content: |-
- Result irrelevant. Need broader search.
+ Very low scores; likely nothing. Need better query: "common domesticated animals and roles for human"
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"mammal reptile amphibian fish bird insect anatomical physiological behavioral
- differences overview"}'
+ arguments: '{"limit":10,"query":"common domesticated animals roles humans"}'
name: search_and_answer
- id: call_vtqjj2wn
+ id: call_i2b67pyf
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_vtqjj2wn
- - content: |2-
- No relevant data found in the knowledge base. Unable to answer.I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+ role: tool
+ tool_call_id: call_i2b67pyf
+ - content: I’m sorry, but I couldn’t locate reliable information on this topic in the available documents.
role: assistant
- content: |-
Validation feedback:
@@ -1605,227 +1304,7 @@ interactions:
response:
headers:
content-length:
- - '821'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: '{"query":"What are the primary characteristics that differentiate the major animal classes (mammals, birds,
- reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?","answer":"I’m sorry,
- but I couldn’t find any relevant information in the available sources to answer that question.","cited_chunks":[],"confidence":0.0}'
- reasoning: 'We need to output via final_result JSON. We''ll produce answer even though no sources. But must include
- chunk ids: None? maybe empty array. Confidence low.'
- role: assistant
- created: 1766762221
- id: chatcmpl-771
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 126
- prompt_tokens: 1063
- total_tokens: 1189
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '5405'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles,
- amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"primary characteristics differentiate major animal classes mammals birds reptiles
- amphibians fish insects anatomy physiology behavior"}'
- name: search_and_answer
- id: call_49gu1w2o
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_49gu1w2o
- - content: |-
-
- Result irrelevant. Need broader search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":10,"query":"mammal reptile amphibian fish bird insect anatomical physiological behavioral
- differences overview"}'
- name: search_and_answer
- id: call_vtqjj2wn
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_vtqjj2wn
- - content: |2-
-
- No relevant data found in the knowledge base. Unable to answer.I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- - content: |-
-
- We need to output via final_result JSON. We'll produce answer even though no sources. But must include chunk ids: None? maybe empty array. Confidence low.
-
-
- {"query":"What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?","answer":"I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.","cited_chunks":[],"confidence":0.0}
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '771'
+ - '718'
content-type:
- application/json
parsed_body:
@@ -1834,26 +1313,26 @@ interactions:
index: 0
message:
content: ''
+ reasoning: Need to output via functions.final_result.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I’m sorry, but I couldn’t find any relevant information in the available sources to answer
- that question.","cited_chunks":[],"confidence":0,"query":"What are the primary characteristics that differentiate
- the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology,
- and behavior?"}'
+ arguments: '{"answer":"I’m sorry, but I couldn’t locate reliable information on this topic in the available
+ documents.","cited_chunks":[],"confidence":0,"query":"What are the most common domesticated animals and what
+ roles do they serve for humans?"}'
name: final_result
- id: call_idce1q96
+ id: call_335hlif6
index: 0
type: function
- created: 1766762229
- id: chatcmpl-948
+ created: 1766862095
+ id: chatcmpl-66
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 89
- prompt_tokens: 1206
- total_tokens: 1295
+ completion_tokens: 80
+ prompt_tokens: 1026
+ total_tokens: 1106
status:
code: 200
message: OK
@@ -1866,7 +1345,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '2869'
+ - '2851'
content-type:
- application/json
host:
@@ -1919,8 +1398,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem
- stability?
+ - content: Which animal species have the longest recorded lifespans in captivity, according to available data?
role: user
model: gpt-oss
reasoning_effort: low
@@ -1976,7 +1454,7 @@ interactions:
response:
headers:
content-length:
- - '552'
+ - '520'
content-type:
- application/json
parsed_body:
@@ -1989,235 +1467,20 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"dominant ecological roles of mammals in global food webs influence ecosystem
- stability"}'
+ arguments: '{"limit":5,"query":"longest recorded lifespans in captivity animal species"}'
name: search_and_answer
- id: call_5g285ae7
+ id: call_lc1h1bnj
index: 0
type: function
- created: 1766762236
- id: chatcmpl-595
+ created: 1766862097
+ id: chatcmpl-264
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 44
- prompt_tokens: 623
- total_tokens: 667
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '156'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - dominant ecological roles of mammals in global food webs influence ecosystem stability
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
- - embedding: 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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 14
- total_tokens: 14
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3538'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem
- stability?
- role: user
- - content: |-
-
- Need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"dominant ecological roles of mammals in global food webs influence ecosystem stability"}'
- name: search_and_answer
- id: call_5g285ae7
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_5g285ae7
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '612'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: 'Search query too general. Need specific terms: "mammals ecological roles food webs ecosystem stability"'
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"mammals ecological roles food webs ecosystem stability"}'
- name: search_and_answer
- id: call_rakyjtrn
- index: 0
- type: function
- created: 1766762238
- id: chatcmpl-30
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 57
- prompt_tokens: 798
- total_tokens: 855
+ completion_tokens: 41
+ prompt_tokens: 620
+ total_tokens: 661
status:
code: 200
message: OK
@@ -2239,7 +1502,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - mammals ecological roles food webs ecosystem stability
+ - longest recorded lifespans in captivity animal species
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -2250,7 +1513,808 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 11
+ total_tokens: 11
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '3488'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Which animal species have the longest recorded lifespans in captivity, according to available data?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"longest recorded lifespans in captivity animal species"}'
+ name: search_and_answer
+ id: call_lc1h1bnj
+ type: function
+ - content: |-
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
+ role: tool
+ tool_call_id: call_lc1h1bnj
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '551'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Results irrelevant. Need different keywords.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"recorded lifespans in captivity longest species table"}'
+ name: search_and_answer
+ id: call_d1nwiuso
+ index: 0
+ type: function
+ created: 1766862100
+ id: chatcmpl-295
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 45
+ prompt_tokens: 793
+ total_tokens: 838
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '123'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - recorded lifespans in captivity longest species table
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 11
+ total_tokens: 11
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4156'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Which animal species have the longest recorded lifespans in captivity, according to available data?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"longest recorded lifespans in captivity animal species"}'
+ name: search_and_answer
+ id: call_lc1h1bnj
+ type: function
+ - content: |-
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
+ role: tool
+ tool_call_id: call_lc1h1bnj
+ - content: |-
+
+ Results irrelevant. Need different keywords.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"recorded lifespans in captivity longest species table"}'
+ name: search_and_answer
+ id: call_d1nwiuso
+ type: function
+ - content: |-
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
+ role: tool
+ tool_call_id: call_d1nwiuso
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '443'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: stop
+ index: 0
+ message:
+ content: I’m sorry, but I couldn’t find any reliable information in the available data about which animal species
+ have the longest recorded lifespans in captivity.
+ role: assistant
+ created: 1766862102
+ id: chatcmpl-528
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 34
+ prompt_tokens: 970
+ total_tokens: 1004
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '4476'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: Which animal species have the longest recorded lifespans in captivity, according to available data?
+ role: user
+ - content: |-
+
+ Need search.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"longest recorded lifespans in captivity animal species"}'
+ name: search_and_answer
+ id: call_lc1h1bnj
+ type: function
+ - content: |-
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
+ role: tool
+ tool_call_id: call_lc1h1bnj
+ - content: |-
+
+ Results irrelevant. Need different keywords.
+
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"recorded lifespans in captivity longest species table"}'
+ name: search_and_answer
+ id: call_d1nwiuso
+ type: function
+ - content: |-
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
+ Source: "Cat Facts"
+ Type: text
+ Content:
+ Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
+ role: tool
+ tool_call_id: call_d1nwiuso
+ - content: I’m sorry, but I couldn’t find any reliable information in the available data about which animal species
+ have the longest recorded lifespans in captivity.
+ role: assistant
+ - content: |-
+ Validation feedback:
+ Please include your response in a tool call.
+
+ Fix the errors and try again.
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '780'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: We need to call final_result.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"answer":"I’m sorry, but I couldn’t find any reliable information in the available data about which
+ animal species have the longest recorded lifespans in captivity.","cited_chunks":[],"confidence":0.3,"query":"Which
+ animal species have the longest recorded lifespans in captivity, according to available data?"}'
+ name: final_result
+ id: call_bogkb8vj
+ index: 0
+ type: function
+ created: 1766862105
+ id: chatcmpl-636
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 91
+ prompt_tokens: 1029
+ total_tokens: 1120
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '2833'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ messages:
+ - content: |-
+ You are a search and question-answering specialist.
+
+ Process:
+ 1. Call search_and_answer with relevant keywords from the question.
+ 2. Review the results and their relevance scores.
+ 3. If needed, perform follow-up searches with different keywords (max 3 total).
+ 4. Provide a concise answer based strictly on the retrieved content.
+
+ The search tool returns results like:
+ [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
+ Source: "Document Title" > Section > Subsection
+ Type: paragraph
+ Content:
+ The actual text content here...
+
+ [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
+ Source: "Another Document"
+ Type: table
+ Content:
+ | Column 1 | Column 2 |
+ ...
+
+ Each result includes:
+ - chunk_id in brackets and relevance score
+ - Source: document title and section hierarchy (when available)
+ - Type: content type like paragraph, table, code, list_item (when available)
+ - Content: the actual text
+
+ Output format:
+ - query: Echo the question you are answering
+ - answer: Your concise answer based on the retrieved content
+ - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
+ - confidence: A score from 0.0 to 1.0 indicating answer confidence
+
+ IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
+
+ Guidelines:
+ - Base answers strictly on retrieved content - do not use external knowledge.
+ - Use the Source and Type metadata to understand context.
+ - If multiple results are relevant, synthesize them coherently.
+ - If information is insufficient, say so clearly.
+ - Be concise and direct; avoid meta commentary about the process.
+ - Higher scores indicate more relevant results.
+ role: system
+ - content: What are the main ecological functions of apex predators within their ecosystems?
+ role: user
+ model: gpt-oss
+ reasoning_effort: low
+ stream: false
+ tool_choice: auto
+ tools:
+ - function:
+ description: Search the knowledge base for relevant documents.
+ name: search_and_answer
+ parameters:
+ additionalProperties: false
+ properties:
+ limit:
+ anyOf:
+ - type: integer
+ - type: 'null'
+ default: null
+ query:
+ type: string
+ required:
+ - query
+ type: object
+ type: function
+ - function:
+ description: Answer to a search query with chunk references.
+ name: final_result
+ parameters:
+ additionalProperties: false
+ properties:
+ answer:
+ description: The answer to the question
+ type: string
+ cited_chunks:
+ description: IDs of chunks used to form the answer
+ items:
+ type: string
+ type: array
+ confidence:
+ default: 1.0
+ description: Confidence score for this answer (0-1)
+ maximum: 1.0
+ minimum: 0.0
+ type: number
+ query:
+ description: The question that was answered
+ type: string
+ required:
+ - query
+ - answer
+ type: object
+ type: function
+ uri: http://localhost:11434/v1/chat/completions
+ response:
+ headers:
+ content-length:
+ - '533'
+ content-type:
+ - application/json
+ parsed_body:
+ choices:
+ - finish_reason: tool_calls
+ index: 0
+ message:
+ content: ''
+ reasoning: Need search.
+ role: assistant
+ tool_calls:
+ - function:
+ arguments: '{"limit":5,"query":"main ecological functions of apex predators within their ecosystems"}'
+ name: search_and_answer
+ id: call_s04t4vug
+ index: 0
+ type: function
+ created: 1766862107
+ id: chatcmpl-537
+ model: gpt-oss
+ object: chat.completion
+ system_fingerprint: fp_ollama
+ usage:
+ completion_tokens: 40
+ prompt_tokens: 615
+ total_tokens: 655
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '137'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - main ecological functions of apex predators within their ecosystems
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
@@ -2270,7 +2334,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4268'
+ - '3483'
content-type:
- application/json
host:
@@ -2323,8 +2387,7 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem
- stability?
+ - content: What are the main ecological functions of apex predators within their ecosystems?
role: user
- content: |-
@@ -2333,49 +2396,24 @@ interactions:
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"dominant ecological roles of mammals in global food webs influence ecosystem stability"}'
+ arguments: '{"limit":5,"query":"main ecological functions of apex predators within their ecosystems"}'
name: search_and_answer
- id: call_5g285ae7
+ id: call_s04t4vug
type: function
- content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
Source: "Dog Facts"
Type: text
Content:
Document about dogs: Dogs are loyal companions that bark.
role: tool
- tool_call_id: call_5g285ae7
- - content: |-
-
- Search query too general. Need specific terms: "mammals ecological roles food webs ecosystem stability"
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"mammals ecological roles food webs ecosystem stability"}'
- name: search_and_answer
- id: call_rakyjtrn
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_rakyjtrn
+ tool_call_id: call_s04t4vug
model: gpt-oss
reasoning_effort: low
stream: false
@@ -2430,206 +2468,7 @@ interactions:
response:
headers:
content-length:
- - '327'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: stop
- index: 0
- message:
- content: I couldn’t retrieve relevant information.
- role: assistant
- created: 1766762247
- id: chatcmpl-478
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 11
- prompt_tokens: 986
- total_tokens: 997
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '4473'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem
- stability?
- role: user
- - content: |-
-
- Need search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"dominant ecological roles of mammals in global food webs influence ecosystem stability"}'
- name: search_and_answer
- id: call_5g285ae7
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_5g285ae7
- - content: |-
-
- Search query too general. Need specific terms: "mammals ecological roles food webs ecosystem stability"
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"mammals ecological roles food webs ecosystem stability"}'
- name: search_and_answer
- id: call_rakyjtrn
- type: function
- - content: |-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.02)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
- role: tool
- tool_call_id: call_rakyjtrn
- - content: I couldn’t retrieve relevant information.
- role: assistant
- - content: |-
- Validation feedback:
- Please include your response in a tool call.
-
- Fix the errors and try again.
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '703'
+ - '577'
content-type:
- application/json
parsed_body:
@@ -2638,392 +2477,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: Need to use final_result tool.
+ reasoning: No relevant. Need other keywords.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I couldn''t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"query":"What
- are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?"}'
- name: final_result
- id: call_iko6pqdn
- index: 0
- type: function
- created: 1766762249
- id: chatcmpl-308
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 74
- prompt_tokens: 1022
- total_tokens: 1096
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '2943'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?
- role: user
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '599'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Need to search.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"domesticated animals dogs cats contributions to human society economic psychological
- cultural effects trends emerging care welfare"}'
+ arguments: '{"limit":5,"query":"apex predator ecological role ecosystem regulation prey population control trophic
+ cascade"}'
name: search_and_answer
- id: call_l4wq7m87
+ id: call_x375p7r3
index: 0
type: function
- created: 1766762261
- id: chatcmpl-876
- model: gpt-oss
- object: chat.completion
- system_fingerprint: fp_ollama
- usage:
- completion_tokens: 50
- prompt_tokens: 637
- total_tokens: 687
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '200'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- encoding_format: base64
- input:
- - domesticated animals dogs cats contributions to human society economic psychological cultural effects trends emerging
- care welfare
- model: qwen3-embedding:4b
- uri: http://localhost:11434/v1/embeddings
- response:
- headers:
- content-type:
- - application/json
- transfer-encoding:
- - chunked
- parsed_body:
- data:
- - embedding: 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
- index: 0
- object: embedding
- model: qwen3-embedding:4b
- object: list
- usage:
- prompt_tokens: 19
- total_tokens: 19
- status:
- code: 200
- message: OK
-- request:
- headers:
- accept:
- - application/json
- accept-encoding:
- - gzip, deflate, zstd
- connection:
- - keep-alive
- content-length:
- - '3659'
- content-type:
- - application/json
- host:
- - localhost:11434
- method: POST
- parsed_body:
- messages:
- - content: |-
- You are a search and question-answering specialist.
-
- Process:
- 1. Call search_and_answer with relevant keywords from the question.
- 2. Review the results and their relevance scores.
- 3. If needed, perform follow-up searches with different keywords (max 3 total).
- 4. Provide a concise answer based strictly on the retrieved content.
-
- The search tool returns results like:
- [9bde5847-44c9-400a-8997-0e6b65babf92] (score: 0.85)
- Source: "Document Title" > Section > Subsection
- Type: paragraph
- Content:
- The actual text content here...
-
- [d5a63c82-cb40-439f-9b2e-de7d177829b7] (score: 0.72)
- Source: "Another Document"
- Type: table
- Content:
- | Column 1 | Column 2 |
- ...
-
- Each result includes:
- - chunk_id in brackets and relevance score
- - Source: document title and section hierarchy (when available)
- - Type: content type like paragraph, table, code, list_item (when available)
- - Content: the actual text
-
- Output format:
- - query: Echo the question you are answering
- - answer: Your concise answer based on the retrieved content
- - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects)
- - confidence: A score from 0.0 to 1.0 indicating answer confidence
-
- IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs.
-
- Guidelines:
- - Base answers strictly on retrieved content - do not use external knowledge.
- - Use the Source and Type metadata to understand context.
- - If multiple results are relevant, synthesize them coherently.
- - If information is insufficient, say so clearly.
- - Be concise and direct; avoid meta commentary about the process.
- - Higher scores indicate more relevant results.
- role: system
- - content: How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?
- role: user
- - content: |-
-
- Need to search.
-
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":5,"query":"domesticated animals dogs cats contributions to human society economic psychological
- cultural effects trends emerging care welfare"}'
- name: search_and_answer
- id: call_l4wq7m87
- type: function
- - content: |-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.03)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
- Source: "Cat Facts"
- Type: text
- Content:
- Document about cats: Cats are small furry mammals that purr.
- role: tool
- tool_call_id: call_l4wq7m87
- model: gpt-oss
- reasoning_effort: low
- stream: false
- tool_choice: auto
- tools:
- - function:
- description: Search the knowledge base for relevant documents.
- name: search_and_answer
- parameters:
- additionalProperties: false
- properties:
- limit:
- anyOf:
- - type: integer
- - type: 'null'
- default: null
- query:
- type: string
- required:
- - query
- type: object
- type: function
- - function:
- description: Answer to a search query with chunk references.
- name: final_result
- parameters:
- additionalProperties: false
- properties:
- answer:
- description: The answer to the question
- type: string
- cited_chunks:
- description: IDs of chunks used to form the answer
- items:
- type: string
- type: array
- confidence:
- default: 1.0
- description: Confidence score for this answer (0-1)
- maximum: 1.0
- minimum: 0.0
- type: number
- query:
- description: The question that was answered
- type: string
- required:
- - query
- - answer
- type: object
- type: function
- uri: http://localhost:11434/v1/chat/completions
- response:
- headers:
- content-length:
- - '580'
- content-type:
- - application/json
- parsed_body:
- choices:
- - finish_reason: tool_calls
- index: 0
- message:
- content: ''
- reasoning: Search not good. Need different keywords.
- role: assistant
- tool_calls:
- - function:
- arguments: '{"limit":10,"query":"economic psychological cultural impact of pet dogs cats welfare trends emerging
- care"}'
- name: search_and_answer
- id: call_hmxafnwd
- index: 0
- type: function
- created: 1766762263
- id: chatcmpl-319
+ created: 1766862109
+ id: chatcmpl-545
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 48
- prompt_tokens: 818
- total_tokens: 866
+ prompt_tokens: 787
+ total_tokens: 835
status:
code: 200
message: OK
@@ -3036,7 +2508,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '154'
+ - '160'
content-type:
- application/json
host:
@@ -3045,7 +2517,7 @@ interactions:
parsed_body:
encoding_format: base64
input:
- - economic psychological cultural impact of pet dogs cats welfare trends emerging care
+ - apex predator ecological role ecosystem regulation prey population control trophic cascade
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
@@ -3056,14 +2528,14 @@ interactions:
- chunked
parsed_body:
data:
- - embedding: 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
+ - embedding: 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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
- prompt_tokens: 13
- total_tokens: 13
+ prompt_tokens: 15
+ total_tokens: 15
status:
code: 200
message: OK
@@ -3076,7 +2548,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4356'
+ - '4177'
content-type:
- application/json
host:
@@ -3129,61 +2601,59 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?
+ - content: What are the main ecological functions of apex predators within their ecosystems?
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"domesticated animals dogs cats contributions to human society economic psychological
- cultural effects trends emerging care welfare"}'
+ arguments: '{"limit":5,"query":"main ecological functions of apex predators within their ecosystems"}'
name: search_and_answer
- id: call_l4wq7m87
+ id: call_s04t4vug
type: function
- content: |-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.03)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
role: tool
- tool_call_id: call_l4wq7m87
+ tool_call_id: call_s04t4vug
- content: |-
- Search not good. Need different keywords.
+ No relevant. Need other keywords.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"economic psychological cultural impact of pet dogs cats welfare trends emerging
- care"}'
+ arguments: '{"limit":5,"query":"apex predator ecological role ecosystem regulation prey population control trophic
+ cascade"}'
name: search_and_answer
- id: call_hmxafnwd
+ id: call_x375p7r3
type: function
- content: |-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.03)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
role: tool
- tool_call_id: call_hmxafnwd
+ tool_call_id: call_x375p7r3
model: gpt-oss
reasoning_effort: low
stream: false
@@ -3238,7 +2708,7 @@ interactions:
response:
headers:
content-length:
- - '368'
+ - '350'
content-type:
- application/json
parsed_body:
@@ -3246,17 +2716,17 @@ interactions:
- finish_reason: stop
index: 0
message:
- content: I’m sorry, but I couldn’t find relevant information in the available documents.
+ content: I couldn’t find relevant information in the available documents.
role: assistant
- created: 1766762277
- id: chatcmpl-736
+ created: 1766862111
+ id: chatcmpl-713
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 20
- prompt_tokens: 997
- total_tokens: 1017
+ completion_tokens: 15
+ prompt_tokens: 967
+ total_tokens: 982
status:
code: 200
message: OK
@@ -3269,7 +2739,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4601'
+ - '4405'
content-type:
- application/json
host:
@@ -3322,62 +2792,60 @@ interactions:
- Be concise and direct; avoid meta commentary about the process.
- Higher scores indicate more relevant results.
role: system
- - content: How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?
+ - content: What are the main ecological functions of apex predators within their ecosystems?
role: user
- content: |-
- Need to search.
+ Need search.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":5,"query":"domesticated animals dogs cats contributions to human society economic psychological
- cultural effects trends emerging care welfare"}'
+ arguments: '{"limit":5,"query":"main ecological functions of apex predators within their ecosystems"}'
name: search_and_answer
- id: call_l4wq7m87
+ id: call_s04t4vug
type: function
- content: |-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.03)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
role: tool
- tool_call_id: call_l4wq7m87
+ tool_call_id: call_s04t4vug
- content: |-
- Search not good. Need different keywords.
+ No relevant. Need other keywords.
role: assistant
tool_calls:
- function:
- arguments: '{"limit":10,"query":"economic psychological cultural impact of pet dogs cats welfare trends emerging
- care"}'
+ arguments: '{"limit":5,"query":"apex predator ecological role ecosystem regulation prey population control trophic
+ cascade"}'
name: search_and_answer
- id: call_hmxafnwd
+ id: call_x375p7r3
type: function
- content: |-
- [4b209d65-f0a8-408d-8897-829b6f67e718] (score: 0.03)
- Source: "Dog Facts"
- Type: text
- Content:
- Document about dogs: Dogs are loyal companions that bark.
-
- [579894b4-09f2-4556-81a6-ad1522b1307d] (score: 0.03)
+ [c871243d-4364-4180-99f2-65e3fd24b3f2] (score: 0.02)
Source: "Cat Facts"
Type: text
Content:
Document about cats: Cats are small furry mammals that purr.
+
+ [d4abd1f0-9099-41ae-8e50-08e5e494ac34] (score: 0.02)
+ Source: "Dog Facts"
+ Type: text
+ Content:
+ Document about dogs: Dogs are loyal companions that bark.
role: tool
- tool_call_id: call_hmxafnwd
- - content: I’m sorry, but I couldn’t find relevant information in the available documents.
+ tool_call_id: call_x375p7r3
+ - content: I couldn’t find relevant information in the available documents.
role: assistant
- content: |-
Validation feedback:
@@ -3439,7 +2907,7 @@ interactions:
response:
headers:
content-length:
- - '800'
+ - '673'
content-type:
- application/json
parsed_body:
@@ -3448,26 +2916,25 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to output in final_result.
+ reasoning: Need to wrap in final_result call.
role: assistant
tool_calls:
- function:
- arguments: '{"answer":"I’m sorry, but I couldn’t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"query":"How
- do domesticated animals such as dogs and cats contribute to human society, including economic, psychological,
- and cultural effects, and what trends are emerging in their care and welfare?"}'
+ arguments: '{"answer":"I couldn’t find relevant information in the available documents.","cited_chunks":[],"confidence":0,"query":"What
+ are the main ecological functions of apex predators within their ecosystems?"}'
name: final_result
- id: call_bedqtxc3
+ id: call_gb757hoe
index: 0
type: function
- created: 1766762292
- id: chatcmpl-524
+ created: 1766862114
+ id: chatcmpl-672
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 95
- prompt_tokens: 1042
- total_tokens: 1137
+ completion_tokens: 68
+ prompt_tokens: 1007
+ total_tokens: 1075
status:
code: 200
message: OK
@@ -3480,7 +2947,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '3141'
+ - '2981'
content-type:
- application/json
host:
@@ -3518,20 +2985,20 @@ interactions:
-
- What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
- I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.
+ What are the most common domesticated animals and what roles do they serve for humans?
+ I’m sorry, but I couldn’t locate reliable information on this topic in the available documents.
0.0
-
- What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?
- I couldn't find relevant information in the available documents.
- 0.0
+ Which animal species have the longest recorded lifespans in captivity, according to available data?
+ I’m sorry, but I couldn’t find any reliable information in the available data about which animal species have the longest recorded lifespans in captivity.
+ 0.3
-
- How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological, and cultural effects, and what trends are emerging in their care and welfare?
- I’m sorry, but I couldn’t find relevant information in the available documents.
+ What are the main ecological functions of apex predators within their ecosystems?
+ I couldn’t find relevant information in the available documents.
0.0
@@ -3576,7 +3043,7 @@ interactions:
response:
headers:
content-length:
- - '969'
+ - '1097'
content-type:
- application/json
parsed_body:
@@ -3585,28 +3052,29 @@ interactions:
index: 0
message:
content: ''
- reasoning: We need to evaluate if research answers original question "Tell me about animals". There are no responses;
- all zero confidence. So insufficient. Provide 0 confidence, is_sufficient false, new_questions maybe general?
- But we just need to state that insufficient.
+ reasoning: 'Need to evaluate. All answers say no info. So insufficient. Confidence low. Provide new questions? maybe
+ ask for general animal overview. Provide new sub-questions: types of animals, classification, habitats, conservation.'
role: assistant
tool_calls:
- function:
- arguments: '{"confidence_score":0,"is_sufficient":false,"new_questions":[],"reasoning":"The research yielded
- no useful answers; all attempted questions failed with zero confidence and no sources. Therefore it does not
- adequately answer the broad request \"Tell me about animals.\""}'
+ arguments: '{"confidence_score":0,"is_sufficient":false,"new_questions":["What are the taxonomic categories
+ of animals?","What are common habitats and ecological roles of various animals?","What are current conservation
+ concerns for major animal species?"],"reasoning":"None of the provided QA responses supply any reliable evidence
+ about animals, all indicate lack of data. Therefore the research is insufficient to answer the original question.
+ "}'
name: final_result
- id: call_90p8v470
+ id: call_2mbvgfni
index: 0
type: function
- created: 1766762299
- id: chatcmpl-932
+ created: 1766862120
+ id: chatcmpl-232
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 125
- prompt_tokens: 651
- total_tokens: 776
+ completion_tokens: 147
+ prompt_tokens: 618
+ total_tokens: 765
status:
code: 200
message: OK
@@ -3619,7 +3087,7 @@ interactions:
connection:
- keep-alive
content-length:
- - '4143'
+ - '4239'
content-type:
- application/json
host:
@@ -3662,23 +3130,27 @@ interactions:
Tell me about animals
-
+
+ - What are the taxonomic categories of animals?
+ - What are common habitats and ecological roles of various animals?
+ - What are current conservation concerns for major animal species?
+
-
- What are the primary characteristics that differentiate the major animal classes (mammals, birds, reptiles, amphibians, fish, and insects) in terms of anatomy, physiology, and behavior?
- I’m sorry, but I couldn’t find any relevant information in the available sources to answer that question.
+ What are the most common domesticated animals and what roles do they serve for humans?
+ I’m sorry, but I couldn’t locate reliable information on this topic in the available documents.
0.0
-
- What are the dominant ecological roles of mammals in global food webs, and how do they influence ecosystem stability?
- I couldn't find relevant information in the available documents.
- 0.0
+ Which animal species have the longest recorded lifespans in captivity, according to available data?
+ I’m sorry, but I couldn’t find any reliable information in the available data about which animal species have the longest recorded lifespans in captivity.
+ 0.3
-
- How do domesticated animals such as dogs and cats contribute to human society, including economic, psychological, and cultural effects, and what trends are emerging in their care and welfare?
- I’m sorry, but I couldn’t find relevant information in the available documents.
+ What are the main ecological functions of apex predators within their ecosystems?
+ I couldn’t find relevant information in the available documents.
0.0
@@ -3740,44 +3212,39 @@ interactions:
uri: http://localhost:11434/v1/chat/completions
response:
headers:
+ content-length:
+ - '1091'
content-type:
- application/json
- transfer-encoding:
- - chunked
parsed_body:
choices:
- - finish_reason: stop
+ - finish_reason: tool_calls
index: 0
message:
- content: '{"title":"Animal Biology Overview – Evidence Gap Report","executive_summary":"No reliable sources were
- found to answer any of the specified sub‑questions about animal characteristics, ecological roles, or domestic
- animal contributions. Therefore, comprehensive, evidence‑based statements cannot be provided.","main_findings":["All
- three primary questions returned empty results with confidence 0.0.","No source documents were cited or available.","The
- research database lacks relevant material on the requested topics.","There is a complete absence of verifiable
- data for mammals, birds, reptiles, amphibians, fish, and insects regarding anatomy, physiology, behavior, ecological
- roles, or domestic animal impacts.","Existing literature searching yielded no matches for any of the queries.","No
- secondary evidence was available to supplement the primary searches.","The lack of findings indicates either a
- gap in the database or insufficient search parameters.","The absence of data prevents any factual conclusions
- or recommendations."],"conclusions":["The requested information cannot be confirmed or refuted due to a complete
- lack of evidence.","Without documented sources, no assertions about animal biology or domestic animal effects
- are justified."],"recommendations":["Expand the source pool to include peer‑reviewed journals, textbooks, and
- reputable online databases such as JSTOR, Web of Science, or Google Scholar.","Use specific keywords per animal
- class (e.g., \"mammal thermoregulation\", \"bird migration patterns\") to improve search precision.","Apply bibliographic
- search techniques (e.g., reference mining) to locate foundational studies."],"limitations":["The research corpus
- contained no relevant documents for the posed questions.","Search queries may have been too broad or incorrectly
- formatted, limiting retrieval.","The confidence metric for all answers was 0.0, indicating no evidence was found."],"sources_summary":"No
- sources available."}'
- reasoning: We have no evidence. So report will state no evidence, limitations.
+ content: ''
+ reasoning: We need to generate report. But no sources. We must list sources_summary. Probably empty.
role: assistant
- created: 1766762310
- id: chatcmpl-403
+ tool_calls:
+ - function:
+ arguments: '{"conclusions":[],"executive_summary":"The provided document contains limited information about
+ animals and does not answer the primary research question.","limitations":["No reliable data on animal taxonomy,
+ habitats, ecological roles, or conservation concerns was retrieved.","The available QA responses did not locate
+ any relevant sources.","The report cannot provide substantive findings and is limited to acknowledging the
+ absence of evidence."],"main_findings":[],"recommendations":[],"sources_summary":"","title":"Animals – Evidence
+ Gap Report"}'
+ name: final_result
+ id: call_khwegczx
+ index: 0
+ type: function
+ created: 1766862126
+ id: chatcmpl-536
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
- completion_tokens: 380
- prompt_tokens: 814
- total_tokens: 1194
+ completion_tokens: 132
+ prompt_tokens: 835
+ total_tokens: 967
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_search_filter/test_search_filter_restricts_results.yaml b/tests/cassettes/test_search_filter/test_search_filter_restricts_results.yaml
new file mode 100644
index 00000000..247ffef9
--- /dev/null
+++ b/tests/cassettes/test_search_filter/test_search_filter_restricts_results.yaml
@@ -0,0 +1,162 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '130'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - 'Document about cats: Cats are small furry mammals that purr.'
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 14
+ total_tokens: 14
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '127'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - 'Document about dogs: Dogs are loyal companions that bark.'
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 12
+ total_tokens: 12
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '96'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - animals mammals companions
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '96'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - animals mammals companions
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 4
+ total_tokens: 4
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_auto_vacuum_disabled_skips_vacuum.yaml b/tests/cassettes/test_versioning/test_auto_vacuum_disabled_skips_vacuum.yaml
new file mode 100644
index 00000000..f02558e3
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_auto_vacuum_disabled_skips_vacuum.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 0
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 1
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_auto_vacuum_enabled_triggers_vacuum.yaml b/tests/cassettes/test_versioning/test_auto_vacuum_enabled_triggers_vacuum.yaml
new file mode 100644
index 00000000..f02558e3
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_auto_vacuum_enabled_triggers_vacuum.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 0
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 1
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: JT10OEjgI7uwczy8my+4PB0eBzp7RXs94zeIPYoigjxoXrk8vXiEu4Efh7s/UIo7ANuoutCXkLwWlsq7SjKMva9s2zxm98G8UTiNOjn38bu8yIW8qsLqPJ+ZmzyWeyC8z/pBvCQWT7za36O8BkJ5vQY7Nz2h8J87RDBVvBGi9byFAxA9TYzmO0cQozvgtCA5Gn1UuqLzWLzndds81LBJPB2C4Tteu/W8X9IfPPpAb7mcfTW8m6XivIHPZTt9h6A80HaZvKogqbztc6I6uZfaO6/rJb27ZpS8ADdbPN6EmLwGkL47x6rku1dgPr21zci8f2b5u/nE9rsNKt85HwWDvNAUn7viQJS8FBBTOgvQ0jsouIE8/a7kuv7+gDz7syI9dztQOytvNzz915O77w/LvKRdgLsXwY08at2FuzBO9jzehVQ9uBZeO+FjEjxe2HY8REScPG03ajzG0xK8zWhXPDlwgLw5/rM7aMyPPFG8nzz+lrS6Ct7GPICeEbl3Rz064VNxvNaSpLxQbMC78C8TPPOOGzzC5EG4m7vtPCSvATvMhNC8XkWivB+CCLxYxya72r1ZO5apubsz+4G8VQKnuvwbBbyLSYm8d6phvMtclLyeewC8taQGPQtskjyzrbo8XGBFu0bqoDxY7Fu7cN8APJcvfToN44E8xwyfvOLmkLwxS2087tuVPDsa3TuZ+0i8c3qbvL/Z0LuKfdK7LhgRPF8xbzs2Vqc6nYXoOjf6uDsCge27L/+Gu8EC+Ts5iYg8M+d6vKcndL1JW4e8bHCwPMbCdjznHxC7m13wPBq2eLw36sc6yg9oPMaujjyDlu88jYUXvOCJmbsdEoy6/RtwPGwtDLoFg4Q8UenBvBWZADxNzQ08NUtPPLQlObw3/tm7XV/7u4DcpbxhMz47vOupO5JfATsYGVG8EPwAvaHRBby+Owa9m2/7u8qvojsD5bY8XrXNOTV+bzy0dHS8sYEmOx7EuzyEKHI7HKmSvC/Oy7uQPUg8geCfPFfpjjsow7Y63z0RPHKLDbxpzNw6DIuAvGOIG7xfrpc8+j7bPMle8Tw3t3u6Zvo/u/NA/TuKmV67Y15WvPVqNDxBFae8zpJevOTZPTyiMe+8QiUePKKrRTyRL1S88aEAvMGHgzxmpDA5a9uZvMS2M7sgmD482gflOoNmIbsDjBa8WZsRvJiQVrvzhcy8Z6tQPLgyULuwjN67cdXcurvgdbwugKw74w7HO07Es7wIIJ+8JHwvOx5oF7yUj1C8ZtebuJpTSToVp/G7+3RwvG83Ebxq7Xu7ak6aPAszbjpxGJG8XsJzPE1LTrkvV2C8iH3XvJEAkLylakU79KFmO3txm7wVY7k722l0Oxm2m7t1AQu9fSc6PDpeCTsfi2m75JXDu5W0E7tGPfI6nHMSvMHvcLvlKzS7PtcAPOe2yLteFJO72j8cPWBcVrsbH1E87KntO2e1kzunGqm8n5zMuqHofDxi8Yo8ZGsUPSsri7x8Ef+71AOuvIduhjxClxY8ZCAdOKoSGT158Ao8fjFZuzihdbvyGKU8PXE9vNR7ojwS4oa7RcHLvPstJD36lcg8k8AvPPpMHrx2iPO7OGhPvFBcTbsd+Ps787ZzPLqXQ7wETNc8sddHPAFLqbum+Cc9lMd8O+wZK7x1feE4m7E8PKYOaLyD3No820MxvcY1rbucTEi8srVivEHTcbsOlky83X2BvVDTp7zKo5w7+ZkgvEb8SDxH8Lo8HN/pPEwZDz14Ph083VY2vLdMvTzQAFW9CLrOu16iFDwnyXu7xSt6u2tV3TxZddw8cfGMPOnldLxJR568NHlOPQG+V7zZDm29vvscu40xNDqpNTW7pOllvRFwprwJEvO8PneqvF6QorwOK1A70z3JvN66xzx0wgy9r5fTO1DwXjws9CE8m22oO08sqbyua587DDmlO/bwNLzABLS7xoWUvOZBGD3Sxo67LNmGOsgUYLs8Uf+7b36mPI0t7juUwmm8PjU9vHK/f7p9I1m8s4RSu9KBNrrzrr48Yu4UPMh/lDvmo8k8K9CsvJqWyjzdzj48MUB2vMss4zzoxbU7qHEYOx3ejbmXWqY8IL+BO5h5jryfCDc8RtHFOsP3hDxV9hc9nMmAu2igjTzWlK27UzwbvYIpZDxVVEW7/0e/vH8HAb1uPNg8tV4DPDGiCDze3E48j/IkPWtvgDyZFAu9Q5A3vCAYgTtggCo9gDTPvPQI3LuzYxW800OwvH5JCLxYhQe3/+YKvMdTQLymYwG64S67O3/rZTzHWA+8zp3juxhc9btes8o8qe7sPJHDFD2IRjW8FCgcPVSeBLypz9a8dXVcvDPvEb3khUM85OM5vG1ALjxibgo9hw6YvOFpdrxEUUI8kHa4PAxyzDzo/Km8DW+ovPmIUzpKqkG8NGodvFcotLx/qyM85/NEPHz5n7wb1Qa9iER3u1Mgyr1KfJc8dAI1vBNG2bzNGVK8fhvivCmX0rzHx4S8vIzfPF22Sz2XegS9f8o8vL3dorxjfx07b6U7vMFfMDx7eNY8ZF4WPV5arDvK4Yc8Je1DPYXCYju82w09Vp3XOxtpJLynYf08jL5/PKnTvjzRmAE9r5QDu8kcqTsj4I+5TDL4u0tmlTtX7IK83pL6OqIutzxDQ6m8Vh2tPG2lMbyRWKK8HQYxPXWQFDweCIK80wkwvfG6KzygU1Q87b04u2SiXbxssDQ8X1OQPLOuSbt4XKa8TwrvvO2yvDn8rma8M+SZvKdsbrs57Ky8XB+6PIf457yfl4k8xy7zPNNbELumX5w8MX4yPF39yzzRwv28neLAuc5Vs7y1K3s8m9+CO2aGBjyo1448KF9ZvRXYFLszypE8UbywPH0OtrrepXM75cysvJ5zczqQGbU88TfhvOb6tLu3mo68vJ8Zu73BgzxX/Ea8BkxWu5JFAD1+oaS8JRuGPSYE87yYxKU6LiNHPSKLFb34KdY8YdeQvBLHYLyjh9S7AB3PO/6klDv5UDw8eeetPK0Aq7zkSKM8gb8OPKlkATyTWHm8c4IdvNKYuTtBLEQ8N5HWOxEVqjxUjrc7ezGiPIBwdrxqk3e8/1hUPExmpTvk4WA8bqg8vAu9iTsr9A86FWCEPFLwnbwk8E685csCPaUBSzxoIDG8eSO6u4PgUzz4+6G8k3zkPDWpArsetaK8HjYuvdN9ijsV2Gi8UxsyPW/YtbyFkgU8z8+XPCu9brx8hdU7DBiOPF+Sn7osAOy7eE42vCtUdrvasFS8VG6HvOp9KzzgrvG7uqFRvC7LGLv6xuy86yIEveRr5rwhgI+83s8GPM0JSr34NBs835UovI5sNL1JKbC9mWMlO8hvLToKWaC7NZBwvP/cBDtyZ1Q9YFvIvP2cJTxzhiu8fhg+vVG4sjy9hLE8AAcPvcK8Dz00vog8v70gPUH81DwaRns9jflDvJKifL2l61a9CTOoOxh/pTzMZug7ts5APIYZd7yVVWg8YGnmOxAgZjwIofU8EJHCu3eQ6Dz1OzQ824RmvET2hbxMMgA8JS4aPGMo1jsby7S7IzIRvT+ggrtp2+082vFRPPE+O7yxQbk75bc7u0fUSruYVjA9KVFTvdU9LzzM8Qa8MHXRPGoAsLsC8W87N8cSPCeUsDwsSNm7jkicPGsd2Luu4gK98cjUu0DkHDzGkSk9AGziuvDYurtB2mo6aXtzPKDCIrxSyuW7zfy2uz6H2jy98Py83N7Nu4f+n7zkRum7f91MPO7ImLxKHCC8JxG7PD3p7Dx1vew6kTe6O4tKtTxofIo8sY5hO8fWT7zjeEq8nhqiO3JrF7u+W9W8g6+gvAn67rxUE4C7rMtDuzCW8DvBEeG8HGOSPDe52by4S1Q8ptzAPBfhAzzQNei73/GOPTjnzTq4vYC7ns7kvMwWkDxfzzi5sdYRvBPS4LxdWQS7mFTcu9LEfDxaupS7gz2Au9jqtjyveru6lsmMvG3ifDwbI4W7UuEXvCG5Fj0Gbxq8MjfOO/FO1Tyyt0S8tcewvAvSH70mEIA87fcEu6qsiDxT5NY6GLe3vMXGOTubPmE6ZtC9O8u2RrskJ7+8JlBNvMuxSjssK/y8JXWQvMz+/TxIz8W8TTqfO7JVRzsQlaC8WLACPTSRlTwDeJy8O5K+vN8Mnzy6S5A8mULDu/zdA7tpQuU89p86PPq99Tgp78k731iJvOAKiTzIroq7ULDtvImpgbxI2XE8/OLSvH6vgDoGj0Y8pe0zvNtq9jwswDg8Pf4GvS/bAL07S0G8It9WvMuIxjsI9B89g4QBPUxQpDvgIw08LLqzu1kw4jtO4xU7j64WvF/dO72ZWIS83SEavNRfmrxGI/O8+ny8PNAcxLx8tgY8G0zgPCPe/zy5Nnk8oUSBO9qbYLswlzk8I/SgO7GBjjvLl1m87HSEPCsFfbzPyGw6QfecO75u2zziMCw71/7FuwhBrbu8L7s8MjEpvYJ9DryONMi8HZEZPK8yFL2L88Q8q+kSvCmrErxETDM8idDHO1XVjjx+63281IP5OjePLTy+ujE9vp93PO+zkTyKPGG8QbyuPCkYvTyy8g+8Y8v3O/6e67w10Y88AKDtvNz2zrw42Oe8Ug/RO6PIUzy07w46eO1Lu4xEsrvQykC9cgkvPJH6kzzk3Hg5FKb0OvQF4Dv1Ko874AeiugnxGTsb1b66db+zuznxvTyV9II89Pr/PB8FLT3LcSG9+ncVPGrvDrz+V9Y7uLG5PGai7bvccyE7D2A7vC/297tDRP07JzzBvProirzbuLG8gfgHvT2ZEj16Xcu8vuu6vFVurzzswWs7nzTSPAdxgTwJE988iitavXX0XDspHFY8XMQTPI8YRbytGzu8199uPGwCiDwu2AW9mKS7uer+XDzzwEG8boclvHPum7zU/H0833RePEBmy7uHMhY8+UaOPP7XLDwLGIe8Jus+O5VOVr0iFKa87NtEvaRJpzunqyC88AWPuvUG3ju8CG08glRVu4I45jwo5V88mhCbO027srydJgS9Ti6KPNR9Wjxezr+8kfaDPHEiuDweP3K8d8PNOpF4fTuCpx+8xsaYvIVxALwAVQq9Y2hwPMXB4bwjpAg54VLoPNB6k7yoFcG7loXbvMP1EDxuH668ccdYu5O8qTsK2Yk8fsY1uz9ZNrwKhQ48ZWXmu+t/rLxou4y8zYaUvJoMMDyFIwy8eKBCvA7N77tplQM9pHMGPe+vqTxbCJ28NYqKPOSDkLz8l7e7NPLJOzGWY7xQjtw8L6savPmJtDts1Js7WppKudC9krvcBbs8TVX+OgJmtzz5lMM8pLROvGneUzydDCw8KOlJuWxdVrw1UuE8TKkvPIkKs7xC5/U7RK++vAtgEj2ZOtc8AnqFPCZ+zDvj9FY7SRfPvAJIyLs3GOW8Ld6HvGNxPLxuucM8eRMZPaToZ7ofkg48hLAbvDw0frs9KRM8gur0O2s61Twt8Sa9fb/hPDeA+jqD9ka8dO65Ozwk7zx2LC85+LogvfvDUDz+7Cq8WvfOu96My7xlB4A885UDu+UcHDx+m3q8QXTLOzw8TrzYeME78XD1u8vfMDwIDqc8QNoKvHVVGbtSA8477Q+VPCysrTxsC0e8HbzUPLsOHL350/+53n1LPNE9fLyLTok7jnIxPaa4fTxV9J681nHGvG17H7yrLlg8GsQgvA543jujohU8oVnpvOVdPDx/W02904UCPYDxxzsQdba7cCnSPAnWiry9fjk89ugevTGM1Lwr5Co7DXMsvR2jJzs08Ai8CrG2vMJ95jwUH5E8QBcBPWE0VrzQc5a8XenuPC4F9buU7fK8vh+cu0yljrzGogY9yAAIOlCxqryJMEC6Yq8zPCvPDzyFLWg8+alPuprlQ7xvDyw7jUTkvC5rpzqXBLU8T62Cu+u7SbwFNwQ9ZC+evMuRgLyiGNq7edrEPPWugzvPNem6zZkpvMwepru8A3K7vdXRvKAOuTvphFk8FJkKPP6swLsqGym7Bnq3PH5PsTzH1G08yAQVvQO0irz0mzC8+U++PJjrebwdAme8OuY/PcuWvjy/SXK8tqECPC1zCD368la7TDHavHmapbnZI7O6pqQwPIkdlTzYBEk9FAuYvJ3uHT1lDgg8JwnbPIwYpbx1DIE8ZNASvIrxD7ukwME8GBC6uTR+hzy17wY9HNP/uk60kjyRzvk7/s/dO/Sgibv7eOI7/MOOO4zcqTxDXvy7JagNPCogD7w4xz+8SX3Ou3LuPr3GoZI8QsWxvJewhTwlDoo74phEPcSkULsOmEW8uT87u/Z3vzxYFs28QDcfO1lQurxkaBm843JqO9qxAjtIaL68Hs0mux7mp7YH/KM8iCKPvCUsVbyCCYS8DLknPJYtE7zo6KQ7wGKxvKgQ7bwZdDS9qi/ku+bL4bzFC2g8K72Gu/ee5zqu/AM7nBGDvKLcSDwS90M8aCRCPXRtB7xuZqG7kPqyu4N13ztJnM+8dRw0Ox2bIrx7SVS8yDWCPGFF8DvEF9y7p8etvHVSzzzAbv28j5qovGARn7wqMVs6+923PPLDoDyvdSM6eeB0OyER4jwlIwY9IzIsPe3wjLxC8DI8PQobvE9DqLyWlr88s6s0PTGFL7yX24M8kmvlPKj+ADzXfFI9TRrjO4syMb06jhM8EKBeOb9upbyZSMy8CaygvAdvwrw3/U28RTogvE8oIzwBqVA9J2TOvASz7DvvAsA8E1e0vOYV27yTO/a77QtxPJAY8Ts/nfm7ZC2+PGurvLvpcUc8xhLfO54WDT1GMUw8EmrbO0ot/zxeFs+8sXWOOjSzn7yyzLA8ynlFu2yNdrwF1So8y0zUPL/yELyBImY6DK4dvJbWD7zpVBC9Zq84PZ5TGLxouSu9VBo3O8xF0DxwINe8ayvZu5LcCD2hM8K8NKiTu4CeobyT/N07qHaau09s6Tu2R/27F9kbPR2hhTvqai08sUOLvI2LIj31JdM76G2cvApJNb345Fs7v0OKOZfPorvd6A09v8hjPM9XhruVmAe9y43ZvNPt6LpfRzW8fjTFvFTRtbwRqZK7Rhc6PE6YMj0G23W8SBC2Op8Rc7xRNGk8t2RBPMNzHzuNxrA8uo6CPBANjTwLyGu8ueH+u8VclTtexo68D+cBPUwy+LxkOw69n8Hiua4827xw2+q6vJGsPADeh7tZUUO9d1asPG1fSDsZ2Q+9dEGAPKajZrxE6mY8GgNuPHCWq7v1eaY8ws8QOjkcl7xklo88iWxXPB/9Dj1YYJO8aCwkvMRMqbxC5Zq8wGyQOTIDiT0Pzy89S93JvBHo7juBPs48J3O4PJE7kbzGb4i8j9gsPNLiIrxZg9O8v2kjPS3TabyyFyi9bVxFPD49G7y6bdy7blytvAYJHD2hdbo8sGWovCjxQzx8dY47HH3yPG0wHTrksci8/auCO+XQzDwceAs8qlgkvTbDRTwODS68eV/cvAzWezxNU7Q82SFrvDLe7byG0c07KJ4auof3Eb3n3Kw8QUUZvGEJ7rz+jyO9LunXO88kND1L5MO7VCaxvNhEZryh5h29dSssOpgyFb3pHI+8ffBmvAfhTj24bem81bUXvPXpkrvucvs8d7XsvAIRJD3obIq8uOQxvPWsB71kEGs7CgpMu4vtxLyMpro6KPmgPHCxnDwj03k8jPVAO5OvOjxhQu06enRMO9XUuDoOQIQ7ANSpu5gUsLzYkxE8j2UJPK7zgbxKyLA8wXjIu2Ys8rwMcpc8zFnoPJxcfzv4Uqo80fJYOk1Zwrx/AIa7KFwzO5UiqrvjU4o8J2y4POvdP701K6I8s/nVPGlF7rsL9rq8MWGWvB7MjLxVTDO90GorvX1TBD1cVFi8WpiruybVgLvSGJc8/9AIPGG/y7yMHvg7jiflvGJkW7sifOY7TW2GPCIdETyan4a8HzYbPGcpsLx6q0e8oz47PfahDzt0ylI8IZiFvF7wkTwA4Bq99UEdPaoZsrzpBOe87dnuu1kCtzuRFjK977IjO/lvproAED27ACZePAOjlzznFg69fwmBPGdSzbtih7k7zCYyPBBNlTwWlr28aKUJPGiRuTzOi5m8vAS8uskkDTxOD4U8YH6bvPLMGDtkTRA8tCo8vK81irzqUVY71CexO7+CZjwT9rg8s1/AO+S2mzw+YC48mBn7PCG9s7ygHKQ8RD5UvECCtLwoGWc8YvMXO/1iHbzaiMU8M3sQvM30Kbz8+ZA8ysbNvCbZgLtK7Cg9cnNdvPzG0ztFZoA8+fEKvGWx9zsvVA29esaGvP3dtroHum67TnCXvHdbCT18piw9QfBCPFzreTrZAqa8kxcXvPB4SD0nDru8URGSPO78PDvw6Ms8tRoGvHM0Dj3CYKK8fZKBPNv08rwG4Ok88kyLPNF5pDsDJM47leaCvP8rQ7wIGhA8XGZ5PGbKyzrl1+Y8w4RVvICZzbwD0qa6paWWuylwJjtUM7Q8wtxFPTP5XryxH9q8d3u0O2ZoxLs5/2I8JujxPCvU1rxcEMy8VL6uvLzsNzqt7AE9uxPTPAknzbtz4se6PUh9PKDNqzyqDB29hcKyOxHtNjy0Cpu8FWbGvPspQTzyLBg5ugcHPDFar7wyXgs7mIKtPN2wSTyyeqI7TKrePEQxtzw6d488JGsRPbJqMzu76aY6cgifvMjDoLxBGFU9UtRcvC2/hTtejhq8u1/9u10qWTxKlV88L4XLvCA6Y7z/l0G98KPvOtSpzDnGejk9w/AwPE0Nvbw6XY87chfVvHQ6oDvMoES9Af1qOiPTZ7yB24w8LZ5uPC16zzzFr1E859iaPNoDlLtcPxY8YBnOOy/g4jzHKSg8iOJqOwhTeTv3ZIq89+O5PKMNFbyn+PG85mrgPNctPTy1rfK8GynPOwJmZLy8ZFc7NLcivAtPIzyFFmC8YNINvCH3Jj0tKFA6vvqsO5Z55TmSAYq8WnuyPNBuL7yBDYC8UVumPJodubzVoq28Dx62PBip5Lv/0G69xa35uzWKgLwZsqS73D1qu1S+eTvATJA80YZ2vGkSPT1Pmyu8wwbBPMSvRjsQXC+8ThkfuyGv+bs29ia92QV6vDGGnzrXAj+8Xh/DPIjdnDs/a+m8obgBvJUNkrzMqwG7K7rFuiMITTzEk+u8JcY5vXdt+DwSqTM8RPq2u7XLcTz2Fqs8+tiZPAO/Crwwa0M9PDEbvQ0CdzvZYPC7p0FLOzYXoTw82oM8PBXmu5w+1jwetmA8EJU3vfCrJjz3XnK8OuM0PJYKR7waHFC8Y87Hu4ZxLbx3+Ae8ThB3vDkRvTz68ww76RXrO1yNqDuKXWs8mZ1yvM1BETylbvw8QMrNu1Dk1bsPeFo8Wj/+u7QuT7w/16W8wyEEPaAE6Tp8uVg8m1dIu2eJGDzCNSu8Jc3JvAV/HTzYqhW8famtvIXHzToRT0K8tGz/OazctTvNUQ27HkwxvEl0kTxtNpy83HixPIGhXDz8MQ47umSTu8pB7zzJjRi83CwZOif07Ly1wwI8NmqavA0dijy4qi68ec1wPI7iiLyg0mO8h1/QO83AWDxSolU64sg0u74JvbzBuP68nVGgPLI0bTyp7yO9c6krO/UO3rzf1rA8kwBAvMXeN7z5HRW82TimO4toRj31Wgk9avR3vOSNcDnFNbU877l9ufDOSj0b6C88qogaPC+Ce7un26Y8frRHO290gby6eyI9QEo2vHsQhDwEXOQ598D5vHYf5bxGUy28NRpmvLPR6rz146A7bfNZPM87MjyL4bO7JqWcu+4TjzyaZTS9gQ/+vMwi1TzSCU+6kYUGO+uMUL2ZKt086Un7vBOR6jzSPPk5ykACvTtW17s8+au86IhKvHnZqbqmXV08nwAjvX3+R7v2A1w8fwUGvf9PwLyMjIw876jLu1lbjDsJs4s7DfF0PKLu9zuPR+27D6bXvGgfD71qmTk8rwJyO3PiDTwS61a8AhBWvEhe+7qsFnC8mPSVvGNuVrysjoa832EhvP1phzzHOL67bdO7PMWl3TyaybW76uE3vNSyabsZkkK71LT+PK9PZbu8CbQ72nOPPFXWmLvtYZA8p8HTPMTiBT1BFIy8Ah0BvZUfJzzDb9g8rlo/vJX5qLyR/5Y7jafmPBFuhTxz2Qe8/8MCPX5WorzlRla8kUxjvP9t2btagE+7mmmgPDH+Rrz2k807bCkwvSZwmTvFBRY9OMUDvAvxCDp4xhk8dzG3O0FALz3LG0y8meGpPPN1tTohyFG7bSmaO6xEkDy+X5U8UbqcOJkAEzxT8fM7bpOzOz5bqrtijsM8IfWrPH9iSjwuPOK8icyiu4geejqKS8a7wnGUPIFzODxwfpM7GMCDPHgpD7znJO64Bm+KPMkrkrrvdUu86zsqO15z27zStza82EnVO+hbkTx0dWC7X7T7vF9aEzvHtMY7b3wUvMQs4Lxn3og6F5f1u6ryRLvlPmG8VQwkPKUGKj1PWEU8ceIcvUTe57zPsC68fMYUvBiQVjwJp3C8o05fO2jQAL23oa27hgP0O60lLrza5qk7V07xPMm9PrsN8tY8IdbJu1svxLyQ/iC9w68VvFX5MLzWkIm7oVaEvHJNGDxHzPY8p15MPYxIeLwr6so8rhjkPCweCr0dxIG8wP+fvC6LEry4IL07pnRbvHJssjz0rEo9awR+PODPaDzCl948tQSQPK9fJz2gzey6/JorvVmZWLyzfIG8UAOGu9lwvLwyQs68iN6Iu+1RSr1N31U84DZ5vMcgG71IVJI8sYUAvFI7cbssLkc8p8IyvJca2rvBiVW86saOvLZB9DrUkWA62mD0u2eXoTwaBhO7A+78vILf/LsLQSW8ntthvBx6A71VJas8UAriPDJz+Tt7Bx29NXVJuwBWmzyzt4+8P9chPFlrhTzfRTa8TKPPPF7btTv0TDe8bT4IPIThMDuMUki8dUfuPNWNVbycKQC60qfuvGcyhjxUGQa9NuLVvOmpGz2Y8a+81kVKvKp4tTxUDR+9dXwmPb02HzyRZKe8Y2YTPfzblrz6kZW6sCYRvDeKmzzwZZA8B1ejvNcGDLzFS6S85QgGPEdwELtwbo88/dYvvL4s8LtW+Dq8zLG3uVQlMDyu9xm4QHQOvJ2TET16enC8wYd7vLBxi7uZRYs75v/GObGtr7zstqK8UpWuPMm8UzwinIS7MV11PG4xYT37T1m7vpe1PJn+Jzs5v/S8QGvDu+Tnlrz+UWo8Wx3ePB6K/7s05Yq8U2q1PFQq1Dv9tAm8Lb8eO9xmKrw5iBS8CnwjPILQnTwoS0O8E6bEu/JxE7zF25a8tQR9PEne9jwnmsA7kCtpO//oKLtLRJY8dLs7vNJRUrwwDy88Q+fCPK1D87z7FXi7CBkjvN8ehryLeh+8IrKBvATNBTwNbFq8cgdluXNkorqkgCo6OCAJvPCQ9roow2q6kUs6PB+X3jwnjlg8EyQlPaSWDDyTJaQ88+BbPIPM+DyJdzg8nRCTPIkwv7woPmu8TmrVvBozqLw4g4I8eyVRPKxsMrxEWqq8PGIavIn9QLuID9S6T3YEvYNmd7z/24y8VsPPvLGh7LzJ02K8mxkbuy4GFryg+/u7kTYnPOkHyTxCdHO7dLEEvPxKXbxune479FRtvOxSk7s6Y028XRvqO9it87xV5iK8+eg+vGh4DL0+P2i8vd0KveyuCj31SZM8JO1fvOjmGrw+a+s8UPJivL+r2zt6NtM7CnftPDZ6/bv3Exi8dDw7Ox8E0rzAPR89LlTtu6QICT0eRVw7eIUZvPP7uzzD/f687ZM3vGgHbzzV7QW8MgWAPGrNEr0nTRQ91wWAPIiNjTwZv/o77KeIvEKxgLuOK1e8r9kPPbcYsTwzCQg9X3cju4kclDtqOEk8wi+qukNCQT0x+QQ833IFPZ3VJ7yz8fs60NIKPYuQ+LvYv6M8ZXmjO7YStLwk9nk8dlTjPL9GVD2N5CY76vBRPNB/CTtA/668qExKvO5BODz/ANm7KtlPu8qWhby2OKi6EcsZvBoeELzoH5+6g5+GO2ltjTzGOo88KbYVPA8GATwEKck81UHDvEFnkbv8gCw8YcxeOx5VIj1BLg28lVE9PLmiojw2At28zXpkvOSoPbs3RPk6/evOvAwSZLxgrYs7680Kt4EHpzyVN7q8lYi0OwCZZryeSuW6tQKIOWxnADxAXck7lucUu1n/6Lt2Ii29PIAPvVLV7br2Xlg81beaPEIEnrwsKa08YsVKOklkkjxhJKM8NPPRvNUKtDyGo0E8udMMvO2Y0zyJL5W4LIMaPOe0iTsLZxQ7L2aFPD6/zzwXKYW8HWohvCMpK70uDgU7fcMou6u6aby9cBE8H+euvK9zjbxYVZ28VB5nvIs27ToT5vW7Q4Dkuy8EDryzXd880Z4YPAXibjzn7bu7KHjlvPkrkzy0w7a7pGWzu06FazpAKJK8cYqbvCqZ5bvCoe27DZOLOkxjqjsDKhE88XCavB4GDzyH3u65PmyjvKodE7zQ8GE8jngcPV7yS7yobu47PXk2vI5NFL3XZpa9dq7NOxhkoLyu6666lqIOPZp1OrwrCym85kXtvOZd3Tze1QW9ijXGvEj767piFRK9PG8sPGh5Kzs/vza8DNMLPEQFPzy7GDe8arj/PL/nKrtgTQ29NetsPDGBBTuLKgi8Z+8pPIX4zTukMeU7dTpzPNE0iLxEQQU9O3KeO1CVrTy5suw8xhd3vLiq1Lv9mfa8CX8+vO5oMLxcmZo7gIBHvAlOh7xdqA09gJbYvHnplLwi0pU8GYaPPEvtDT3R4cI8iHebOwTdAbym/tO80Xs0PXO3sbvZf588WDIdvH8J8LstPXU8H+fDvFnoZTzDgXK8uuW5vAaLNTsV7yU8djhqvND2IrxFTmy8yi8XPfCVzzwETTw8ziT6O9n/lzy3hIG83B8tPGOZirwnIQg9jGadvA/kD70l2eC7jugMvfsruDw5bxm89HAmO4edN7yMi+Y8ziCivJ4SRDw8y5O7ATMKPCBoabwD0j68kE42PYk3g7yPE6O8rmylvGfWwDxVdxg89qv0PNYJAbxp8em5Buu3O/MMBz2jN2+8YVcjPUMwwbumLsg7br+rPO5iNL1bsxC8TUbbPNpZ1TwBtZY8/bZAuzUeYzzfToy6FyepPHgRYDmv+oo8uzU2OwsSZjzw0YC6j1WCOiZdyrtmp7i73iqBvKXTXTvcUy69mw2rOnS1fTzryaG82KIwvIGkujwixIk8NhIiPUVtSjuNAsG6h/GMvDO6kjo5Tw28YmMDvb/xK7tJHBu9in0rPcr+l7yDLtc8ZNYFPR+Qejwg4vY6gWN+vHMyjrwMc5M71+yPu8ISEzwTPOk8al6PvOMmazzyxfu7SSkcvURsS7vu7rm8/CsNN3IC27zjiIA8oUH3PAs93jtZ01k7AVOMu5q5GTzY2rc8QvubOwzAHLy1Foc6w7oJPOdE97uRvQm8Ar+DO4U8VzyUDBY9h/v7u4FZlzx/Ob08H36XOdtUCjwc1mQ78VIPvGPYhjs0cQi7eckkPB8jPbxFpjG8mEm7vPPwH7y918u6B6+pPE5Alrq7J1y8o3Ppu+s2QjwrPP27gvGFvF84Cjywaio8rT4NvK8Sw7zUWge8vQyyPP0xKDy1aig8F5xNvPYcG73UoJq8fVAdvA==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_vacuum_completes_before_context_exit.yaml b/tests/cassettes/test_versioning/test_vacuum_completes_before_context_exit.yaml
new file mode 100644
index 00000000..f02558e3
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_vacuum_completes_before_context_exit.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 0
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 1
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Test document 2
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_vacuum_with_retention_threshold.yaml b/tests/cassettes/test_versioning/test_vacuum_with_retention_threshold.yaml
new file mode 100644
index 00000000..7dba2b07
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_vacuum_with_retention_threshold.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '84'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - First document
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Second document
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_version_rollback_on_create_failure.yaml b/tests/cassettes/test_versioning/test_version_rollback_on_create_failure.yaml
new file mode 100644
index 00000000..1e27db07
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_version_rollback_on_create_failure.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '86'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Hello, rollback!
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_versioning/test_version_rollback_on_update_failure.yaml b/tests/cassettes/test_versioning/test_version_rollback_on_update_failure.yaml
new file mode 100644
index 00000000..b8172a89
--- /dev/null
+++ b/tests/cassettes/test_versioning/test_version_rollback_on_update_failure.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Base content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '85'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - Updated content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/conftest.py b/tests/conftest.py
index 1584a033..796745bd 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -5,11 +5,17 @@ from pathlib import Path
from typing import TYPE_CHECKING, Any
# Prevent tests from loading user's local haiku.rag.yaml by setting env var
-# to an empty config file BEFORE any haiku.rag imports.
-# This ensures tests always use default config values.
+# to a test config file BEFORE any haiku.rag imports.
+# Uses Ollama for embeddings - HTTP calls are recorded/replayed via VCR.
_test_config_dir = tempfile.mkdtemp()
_test_config_path = Path(_test_config_dir) / "test-defaults.yaml"
-_test_config_path.write_text("{}") # Empty YAML = use all defaults
+_test_config_path.write_text("""
+embeddings:
+ model:
+ provider: ollama
+ name: qwen3-embedding:4b
+ vector_dim: 2560
+""")
os.environ["HAIKU_RAG_CONFIG_PATH"] = str(_test_config_path)
import pydantic_ai.models # noqa: E402
@@ -101,6 +107,12 @@ def set_mock_api_keys(monkeypatch):
monkeypatch.setenv("ZEROENTROPY_API_KEY", "mock-ze-key-for-vcr-playback")
if not os.getenv("VOYAGE_API_KEY"):
monkeypatch.setenv("VOYAGE_API_KEY", "mock-voyage-key-for-vcr-playback")
+ if not os.getenv("GROQ_API_KEY"):
+ monkeypatch.setenv("GROQ_API_KEY", "mock-groq-key-for-vcr-playback")
+ if not os.getenv("GOOGLE_API_KEY"):
+ monkeypatch.setenv("GOOGLE_API_KEY", "mock-google-key-for-vcr-playback")
+ if not os.getenv("AWS_DEFAULT_REGION"):
+ monkeypatch.setenv("AWS_DEFAULT_REGION", "us-east-1")
def pytest_recording_configure(config: Any, vcr: "VCR"):
@@ -113,6 +125,7 @@ def pytest_recording_configure(config: Any, vcr: "VCR"):
def vcr_config():
return {
"ignore_localhost": False,
+ "ignore_hosts": ["huggingface.co"],
"filter_headers": ["authorization", "x-api-key"],
"decode_compressed_response": True,
}
diff --git a/tests/graph/test_search_filter.py b/tests/graph/test_search_filter.py
index 82b7e4ca..94d9eef9 100644
--- a/tests/graph/test_search_filter.py
+++ b/tests/graph/test_search_filter.py
@@ -33,7 +33,7 @@ async def client_with_docs(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_filter_restricts_results(client_with_docs):
"""Test that search_filter restricts search to specified documents."""
client, doc1_id, doc2_id = client_with_docs
diff --git a/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_create_document_raises_when_read_only.yaml b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_create_document_raises_when_read_only.yaml
new file mode 100644
index 00000000..e1e41dc9
--- /dev/null
+++ b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_create_document_raises_when_read_only.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_delete_document_raises_when_read_only.yaml b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_delete_document_raises_when_read_only.yaml
new file mode 100644
index 00000000..e1e41dc9
--- /dev/null
+++ b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_delete_document_raises_when_read_only.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_list_documents_works_when_read_only.yaml b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_list_documents_works_when_read_only.yaml
new file mode 100644
index 00000000..e1e41dc9
--- /dev/null
+++ b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_list_documents_works_when_read_only.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '82'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - test content
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 3
+ total_tokens: 3
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_search_works_when_read_only.yaml b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_search_works_when_read_only.yaml
new file mode 100644
index 00000000..8852415c
--- /dev/null
+++ b/tests/store/cassettes/test_read_only/TestClientReadOnly.test_client_search_works_when_read_only.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '93'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - test content about cats
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: 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
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 5
+ total_tokens: 5
+ status:
+ code: 200
+ message: OK
+- request:
+ headers:
+ accept:
+ - application/json
+ accept-encoding:
+ - gzip, deflate, zstd
+ connection:
+ - keep-alive
+ content-length:
+ - '74'
+ content-type:
+ - application/json
+ host:
+ - localhost:11434
+ method: POST
+ parsed_body:
+ encoding_format: base64
+ input:
+ - cats
+ model: qwen3-embedding:4b
+ uri: http://localhost:11434/v1/embeddings
+ response:
+ headers:
+ content-type:
+ - application/json
+ transfer-encoding:
+ - chunked
+ parsed_body:
+ data:
+ - embedding: qxePOffluTw3UD08OVA2vUetoTrh7RA91SdkPQ/j3rvO9gQ9f/LVOcB8GL2FAcY8+cHuuVQ8Wr1wCWg9PR5ZPPjM9TwsJyC9iijYvAdSz7s3V9a8f6ckPCnNn7wd9Fm6+gcaPa8OorxLdOC8BRlgvXuarzz57iy8wH9NvBSwZL0ZW2s9cPhSvBFPYjvkQn+8W4dBvDAw/rsMMR88Jb+LvbXd0buJySa8sGKRPNEST7vvgBA8aX+0vOIj6Lp33hM9868RvY4mPbyI+Xk7+P0gPONG1jz+zDS888kpPJfEPbyxaVs9oSQWvNaOVrxS+aM8yOXZu0udDLwogBO9fWwpvNZmY7vN/3m8QUTPvHApmr1Mbks86KcuvFsjSbwHrWk9z01FvHxhmLx05+U8EO/tvPfqmTtfLxw9BYePvA47CT1wP2O7eO4BPIN3UTozElc9digdPYB1uzwlqtU7KeEbPL91Pzt7SJW7lAJcOEZgtTzN2K27LAoxPIiIH7vjKgc8i0DNOj3QQbz7JF+8nxhZPDHB/bsAayS7sNZNPQvETLyDWV674h74vI+pJ7zdtQu7XRn2OsYsRrwAnIy8Sx+ju0NKezyd2ya7yho4vCzjM7y8Gho8MqsMPXl/ZjsW7/s7vIcGvAlnvDyAFre6ZVDjPDfefTx6WWa7tTFjvEvt4bx5z1m8VQl6PPbgOD1gMWu8qvKHPDNGWrsqmYs8pH9bvG3DFDy6lMO6rxl2vIroYTyVJw283reTu4I0iTskTw09y0e3vO01FrwLhl28M1OXO57tajvUCS28gZPmO+EerjuBcSK7CYdgPBblADxImJo7pvvdu9MYETw/PmA8VYHZO6kaDTx4MY08Ru83u6E0PT3r8Lw88mk8PB+88LznRf66izgzvLyTn7z1AnW87x0HvVDhSjzbLgy8mYsnvEH0bDq507y8WzoZvP3lg7tHJwY7OApvu2HgljwJRMa8p8wXvPVVxDk6V0Y7a82DvM7IejxT3iU8Kh4outnIW70IHp88WISFvLiW1bzAxVu7EiRrO8THEr3fJHC7NcyxukQdDz3ZsRe8mWLPu1p+Ar2kmEi7L3kkPHuvvrv/fwS65QJXvCsdyjtiiSW8XLK1OxD4/7uPepa8NwjMvEVeijt3Xxs7G3u8vHhbq7y1xqU8DBvbPLUlsDqOBCc8uoU2vMPcgztesiy9d8A/PHL8Qzys7yg8NR+EO5/kI7w8GyG85V+QPPyyy7ubUrA6CwrcuwFcdjyyheu7+qZtvDnhdzpGuSS7ckOCvNLx+LuFxLy70IFPPMfjPDvR8Z28F1cSuyhwZrzgSF68X0eOvGqBqbxzNjC8B3a/PBnbmLxGOJg7PAM9PIXrpry30Q297xsVvCL3cTxw+BO8cAG2PC+NgLzD3F+8ES/oul1BorsoMGg7Q9SGvMwDbzwzLcm7rqcLPdT7CTusoSo8cu5sPFcU/TpU0wY7OyxoO4H4CjxQ8Ag86b5PPbyhwryeFAs8bPrSOzyqyzoU6gA7Kad9O4U0kLzfe608BRUxvNSUpzuP4Dg8NiOlvGVXsDzcs5a8AxlKvP/COTvBRy27IciSu8/SrDprmJC85MDaOllhcztgYGO7HjMlPHMQYDwz49W7eBQavI2ikjtSgnG8j97Mu7/nPTwk9c+8KAmeO2bfjTtFbqq7lvoMvQ+ygjwH+588dSnWvDV6Hr27Kwq7RsMNvbEhAbw+8hq7Pg5Hu65/WrlqVGU8D6GyPHToBz3Kj1U9k+bwu1scqjx58te8QubguwD7Gbx5dJ28l+jouuwb5jzXeFY9yW5HPCe4uLznqKo7bySWPJh4zbxS6yS9w5SdOnXpsTyHv6I80zPXvJ2WIr0SSUE8YcMbvY6j5DvT8kK8rhhtvFDfZjzdk7s6RxSMPJs3jrw8ueA6KXXQvP8LNzwmoR88jmGJO/WtFjz+4Z479Mjbu44pFT3P2A+9zQ3uu9ks07xqe5o8smDIPM4Khrs984E8AgHpvP9BcTynSau8XMc0vEIDqbyYYdY7at5YPKunCLtr78A8vjk4O4yDrDwJn+c71EI7PO7uWr3SsM68D0sHvNwG7Tx47qK62hiIPKXUFbxOolM8ZdLEO1/R6zw7T8s8UGwjO2Dp6byK4qi8yaYFvZBBAL0npk67KU4NvVu0W7tFLaw9S+4KPGBci7yVruY7hdoVvNb8ojzHZ4u8B6BAPIubgzyOUKW7sHYPvbbiHr0bd0g7Ou4wPKQlCbxs2yc7y1SOu+7I0zyOMqA7oVXZvK4ecDykhqe6ostVO5seSzw0WT28FMPlPBgIIT0JNYc7m4GnuzS4zrvFNHu8GtkZu5v6hrz/iAq7TQQSvYqxGjysjb47zxSCvIpRJDsPusM6rbKCN/5dtTw8IUu95lBBvCg5mLzPZG47igICu3xijrxePyO6XoVqPGWDu7z8AX28QaQ3vEtOq70Zfxk6GFiQPClQgLy3dnq7lj8MvZJPmbwqpXc7TQ8bOo0EHj2EHhq92L8OvWguLL2DBcQ8t6iqu6/p9Tyw8M477vwbvDuhMzy0D+M83YS4u26fsLuB9as8Y88ePN5ldrw3nvk88FwjPP2vkTz+X9S8pnoCvQI5Aj1dH848eyqMu8hNjDzy+rq6oKwlO4zj7TxsjP28552YvFeaCDyUSyK8pVQAPY1itzsebQS95bjWvNcnhzyV0ZM8N3kgPKIbHzxJJPI8kBeFPBHOVjxaUIe7hxUdvU8XcTyJmIi8mI3DvKZGlbuVDGo88Ww2PJWSpToF/f+7vtGOPK2cP70WZpO89YpJPKFxYzuIW9K8rkdMvMP71Dwlsxe8y/S+uoBnkrw/rQW77wYyvQ3VljqaEnI83RbWPFo0BzycvEQ7WomIPMpBDr0yecM8OOzqOzg2eDyYqRY6/TswPEz9ATtUYpa8A2p0PFIpD7w0jay77cciPF9Z47wXN1s84LlQPM+AKTsGXr88hkV+vGpq0jxsvpG84RdEPCRo/LsgJhk89HG0vHJ9/bzuCgK8SHuavKwU3rw1+3C7++sGvB+scjwYqXI8aa6LvMIqQr3z13q8Pr/lOho5FTsMhO68bMENPGW3tDxz0ok8gjeFOxYzDb04fv486HE5PBTIAT3vRUq7o+ErPGk6X7xDa1I5zdxGPCQ4lLzkPBm90YatPLnF87uawV87Emejukfk8Dubulg8rvj9POhr4rxaopi82o/KPMXtvLytH/i65/vyuJAYx7m8Ab2823rWPCVrjTos39K8JlXbvPLhKTzYRrs8YSREveXex7yCqzC6ZDD2vM6xE70lkNi8icERvNleirwZr4c8KQikPBpDn72gFuK59xEgPXowMzy16w29Pf2LvAL3xry0zgM9n+AtvEZpdTx5jLi7mCXHvG+5HT1KFym8b/yOulwTIjxowgi73nwKPJ2KNTqo8x899CqxvI1UbLz+8Ru8bq4wPFbFQLtt3667MCGBu3+tsrt67qM7y59dPJbsBD1qsyU9O6EMO20BpjzpNp+7X3GovCUrOTxjGV08BYpiO9ghrrx357u8k6YMvZ4Sdjx6duM8+ETouodSYTzulpM8KtWcvFiNWLpM1oI8KPxRvQcvhTzQQsS6jatRPO6InjsRb7S8yPaeOz6BwzwItuS8TU94vAUtoDvweQs9CjnUu2QzkzxVZ/M8cPPlPFSHdjvdxnO81OW6POWhnDwhNYk8UasDPHaaqzyv8wS9SwYTvXBlG7tf1Ak9oBaSOLDJQLuqBIm8n9s7Pfk6ODw0xM48GZvzuhC3wzx4vZM6lujuvDKZ5LzJoAo7JjUPugudGr2cfg+9PKpmvIQie7x/Pry7U6XGuvCC+zyRnOm8skZNu+WMvbwAtzs7WOepPOJQhbtp78s7NksKPQ1mXTvY8pi7LueFux0j7zx/M5S8x+HFO5fJ1TnPPHo8F5yaPHoag7uvEUA7pEgjvFz8ajv5Ag49PuVXvSJUgbo7gky9eEAjPKuT2bvighq7OYULPKLOWjwInw48bdbxumR+lLuBwk28KLXWPEEhNjzlze48R1l6PD5i07w82rG8OYoXvNdlJr00KiO8P4emOtLuqzz1kVO8fIn+vHj81TyiD6K63AGVPNP1Z7yjsXM6NN4LPZhUSTzMnw29h10pvMcSED0YVBS963emPHm4gLyuZIM6rbLSuxxGp7wyDSS81eKwvDb4kbxkNwm9GhbNvJW01jwm9Dw9AltRvGrp57zBNKw8MEApvBUgN7wfRMO8OC7KvDRygrzi2bq4FCpUvPS7cTrROwY911yLOpiLAz0gSzC80fU0PCp8aLzPEm08YpnFuwI9TLzWb6C7f0uEPCzovDtbRlu81+zIPKQInLyMD6W7ycWbPIM03Dx0eiM8l8JkvERjVzsgoku8yoRMvNsUBjw7TwK8pSQDvMppLTurkBc5ytzWvITJljvtS2a8RovWvNWdvbyo+7U8SXzHvMKOCb3Upcq83ilbPM3cALtoFMU832UEvJGxlzq5ybm8ikxZvEWZ/jvPbj+7HtX8PERGhDz4YVI9aercuo4Bi7ud9so8fSc9PONnYDwOCZU8vnUMvESV17z1/Jk8Dv8TvUJhETyz/hu9omD7u2Bdw7wUHbm8ETiBvAsI8zvcfwG9DQTYPHtAjzwTW9U8Lm6qPOWAhzw5PtK8MSbSO6w95bujFiS7bQGJPA4vIzsKN2M8VBIPPQ6rgzxbM4i8QPueOzMDkby3eUC8cKsHPBR7G7w5L787D9WfO7bFN7wlQUw89UsuvEstiLxeVYo8wzCAvGshbzyRSAW9OUC5OqsByzzRIpI8yGMJPXyeTzyI9SY8V2YVvfy2grzUCxi7m8KxPKdiybyd95e8y4WMPEAgrLxVKUy9ULQmPEd0KLyXJ+M8cJKbvK9IfLzAcrM8UqulvFmUIL1uwy29amiBPS4gB70CTB671oSruxUTR73M3za85LLsvPQumjzxp1i6fJjiO5F+DbzoUlI8f7agvM4XKTx3UNE8j0itvCYforyhDdW7eAEDu9PgdD2AXFG8q3g2PEpC3Dw9P0k81X8LPBfckjxNqjE8c7aXuugzrrznChe8JXYZPCZZGL06YXy7TyS7PFqQAzv/Dcg7Qe6xPG4/eTxKx7E7SsavO2NzDDn+0L48yCuTuuk/DrxKywE65hBMvKnbE7s6C168qhCdPE7MpTxEN/47c672PLbBvLt6jOo8AHIaPRX/Jz3KXba8A+OkOhrRvDxybwu9h+SWvInfwLxgTq47ZUPDvEoRV7x/LgK9LuqSvGk2kLywAIg8FxKgvJ4LVDvZxSU9SflqvDlZjDzQ/RY8Or8wvLh/Db3HaBA8VAVCPOtCQ7zpy3i6PAGMO5giCT1UB6C8QG3bPBGk4rxm1JS8dhAJu1nFL70s9U88CsDVu/AqqzzSJdK7Q41rvAMvCr0Pre08yAi3vKXeA7zP94Y8fNAPvK/AqzxST2W8jOUyPbDS4bwf5428Q8KdOiHMrzs0rvS8O/hbvPrUTTxwdhQ7hciivM4jqbovm3a5a0p0vOdifLyGW3M6DEV9vCXsv7zRxhe8XrXGOmJwmjur8oU8E7GzO4NGjbxr7RG8ez9gudCj+zz+PP84yHO+u9g/gjhc6R884vqnPIOwUzv1jNE7stOqO9AdajtDeZ28kmKKuafPOrwXp1e7PJaWu5FaHrxScmU7BRV8vPKIoDwNqzK8CI6WPNr3rLzqDEE7dVqfOyOgdDwJYc88veo5vTX3HrwtsY68XdUivRqYqLzaIDa8LFaWO6TZCLypF1K8Y9QFPR7TY7xQ0r488b0DPdw00Dwxh4y6VKOxu7MbbDxqIjY9Z+a8O4lkGjkjwUW8rNW5PKW3Vbw/Xgg9GxcDu+Mn9js728u8T8V3vJinubz1gQC8SvhKPHG3zzj23R09eXFGuyFIsjtubsy70/NSPPwHHbzKv8Q8ZlkbPOCYkLwFnX68mJ6OvC5FtbveCwk8BtQCu5dsLzxvhEK8vUAJOyzVKT26Hr66krIRvQnaZ7zj/Eu7miXkOuifCLziCje7jxhiPYBh2buSDCq8fKSZPBzdkDxjMqo87g5ZvGEjMDt4pU68uj5TPOAcYTytWJ48g8R7uymZDj1E/hM8UtiGPDPJaLxbyhU8nxvyu02zhDxbNXq7uY2lvCsDrDz9NRY8GTMBu3QElzvh1X+8dTilPMJFJ7uOr488NccYvevovjynyRa7OvrBPKA6fzuizSK9cHAYPbtB5bpofQg8hmTpPLUvATsX5YM8TDH1PNq1JTwICqM7rPExvStwfDyF3487Qq0XPRpb77tEaiO9NJFKPMPXvTwF4MS6yUtpvN+5GjwSO6c8Hfg5u/bTWLwmY7m8rtbzOxD5iTyfQeG7bKyHvIyIcTwJD9W8cEIfvKFtFr2Uxx28bDzTvCRFvTt/dsm8/4sPvBjFZTzR5gu7I7YpPccOELwg0IU8i3g0OmZrHj1nAyQ88XhPvN58Bzx/2k87nhIYPXWMJTvdo4i8nETuu5PeCjwpWd+7fZL3O2fycrv+PDq8Y7sjPLHTr7z1LhI61to8PPOWkjhoNkc716pOPbEYqbwWCcg68scqvNSMl7y9kck8ofeaPM4RAzy6R0673YwvvK/Rdzx8u0s9rRvOuKtTfLwJsx+80zGQPKJS3Ds/PmI89qIWvJDEb7xisA08JoNhuu8qjrwx39k7gxegO+TQCTyWscc8Lxg1vCxVtLzBQxK97Tq8vEgRjTtRuKK88MiOPK1NQLlEAak7OfUTPPyLtjwm3i89J16yOVP0V7xjegw7rZSwuQldyDypmjK9+tNLvHNwV7w5NBQ892cbPbr26TvsF9y7EqvAvGZ/Eb2xK9C7f3V2POQ4Tby0tTu9Drf3PDMcKTwpOL67fsGAvMxGIbxYq8e8KzN1O2uizbyBk08527mjOh6DQbwAgQ26kLy1vHy+Druub4o8hfM3vdbILztoOJE8M/EFvYhtW7zkaEQ8PnMPuy1Ej7w2TIS7DviNPMssP7wRyk68VcZzvMYQf7ooMrg7MIBsPAe5WzwuR1A8Pu0QO1hCCjw4OOK88f0kPIXY1rzYrJ67rRv+OpIgMLy33ww8sozlu61e7jwAbXI8TRHDvIjN6jxkOLU8VXv5PEhli7wQ0Ny7VgrluhMmZbyl3u88OPo/PBPOyzooB1O9q0a8PPc+Iz1zUri8XKI5POZ3izwlXLA8opPgPFSbQzy3sKo8DqWwPP4uOzsFEX67DqupPC6DaTwtHKq8fWJAPPCUx7t9KnG8YJ6vO5xwXrw9AL08J8izuepJKzy4gHE84d6JPK8cHLxx3QG7VQvfuZ2aXrynY/28tMQDvelc3Lz46dW7PotsvLGYpry8GYW7v2Y6up9qJTsuc0w88Pr2vKda97pmGUc8KAfcPOWOOLwnrQw8H14jvKHfujxoDgi6wMd8PHLPZDy18VE8YvEJvL1kQLwVgQo7fESQPLYMbbxVYUM8dQ5APKwLT7yE8a08Zmi3PGeCrrw0+jC9cxNzOwugWT0c2fy7QYUbvVor8bxquXi8yTkFPG3xDLwGEnq8d3MHPJR0Hj2K+qa7arJzvORkR7uSsFo7Kro8vA4qLz1vBxk9RFe7OzA4L7w39yE85Jo/vJG3cTpzP828nBMRPB836Ds+1QE9gKHaPPRZZz3WgrU85Y/6vNtBr7z8Yqi7SUYIvb/vxLwEQZy8BT4aPNp3s7smTF27xYHROhsCrLxY7aS8kPQ0PcYdnjs1lJY8/Q+kuyAMjjvfVWo5gMp2PEveOzxo7Ws8OjqCuyWg8jmwNJW7NnnLPEExvrzpaZe7jc7hvA8rQjyESh699R0OPEHg/buB1I28sSVKu6HyRLt43Rk9IjQAPeVqzLjD73U8if4EvIPypTmpKIo8Hr+gOEGkwDtYYR29YRZeO8bdU7tZIze8zRbGPKHgvDu73Qq76ou5O+MDAbzSmAW7vjQ0PT1ZxDrVSFm8gKC9vFeZF72JGLi8X1dxuv4T6rx017C8kSxxPIUcBb3+Jw696offPDn5j7yhOPg8CNTdO5FGzjur18K7Z08APToGODzduXa8qWsTPZlqGjuvtFY80i/ePBiEBbzSALC5X5IpvaAl0rqY0aO8z4nsPDM0ArvTUAc96G5SPDwPljsbwAc741UXvKaAk7xqOSk9yQgEvPdrpryEsWA8t2sHvUTyPjzLMYe8RGMFPEZkF7sPZoE8JnSdu5YU3zxiYuw6baOMvBG85DdyQo88MirXu7KD6zvY98G8rOqwu3m82jsG6Fs7fEUBvU/Swjz/ldY8GisWurl5/7s7kJk8gao9vMNaFD2r+ee7I1Mju1fbKjxSWh+8mzpGvEP2Az0G0g68FJIsPEzLTr3dVjI8fFlVPKF/0Tws8by8PJpkPBgQF7yg+Lo8Wju9vHGvtzsZZAs81uGYvCT84jz0NFk7CYvTPKT5zjtrZFK85IDDu1t9PLzECH28dq+JOhtEOzwOKyw5JmyDuwho1ruTuj69GFpoOs+BoDy7KLy6rdinPHNyrrwOFYK8JsGpvAInSzzSDw+9V8PGvJlcPDwyxuC82xXnvIZV9TrJEdO7zoSzPHEwJTwHXBq8+OIVO7hJkbx0xcK88eqnPDBh3DuQVmK7aFwWPe4sNjzBoTy54zNPvLjjED3ObUo9aLqYPC6HJz3nNv46Gf1fumhd4Tx32L26ZG/pOyNOv7tVWq+8iPhbvG/l+rxmxC09jNKHvAYOA70eaHC8eFhgvOoT8jtmSUK8WlbZu+Q2FTzu0lE7xTkUPDw1wTyUdZK7++TqPLkkLLzNsSU8FlSeuyDRIjxd8fc72Ku4u8EO+buOXd26tc7HOyE6E71LZZi8grwyPaJVOrx6u828pO72O6l1I7zwS+28T6UsvEeZaLxQGhe5UczWvLTdmzxrXAA8UGyBvLmqNLxWOP68mX32PBHtxTq/HuO80dv/ukgNY7z9Sxy8q0GTOr1mg7pm5RG9vst6PHhP0Tr2zdy8OV/6vIq46rxfCFu73Uupu/tMXz3/Ny+8901TPFEpurzSUbi8uMiMOn/KpDsdbay8wvWtPMDBPTzjcZy7N4/wPOuXeDrv3ha89FSQvK6+z7yqgbe7CJaTPJV6Pj1sFny8Kx3gvPZskjvMj2W6M/vMOYC0xbkFzvo74t9oOxH8kbvwWDE7mn0OvfG5BjwaufO7dDnluTxrszwqzdA7Sg2VPHnnFz06D7c8vILovOLA9ztVxPu8ee8lvFkIsbzjMS07RHKIPERTsbvTWbi8neqau6FzLjyqvr282DmsPM+9Zrz37GI54VUrvB3eeDvTbao8vz5JvAY8a7s2G6m6pxibO8LMb70vuju8fN/APLqwmzxU5i08hzOeOwil97wZkb27wQqbu+ydCb3bagi9k8BUvEj7BTwXI8K8mwePPN4+n7vPElK8vkVlPDA8tDyTRq08KMlfPPndNz3DxIG7nrr+uwGEazzF2Ji8ntwavCtg1bvoSuu7wsaWvNNSoDzsODG7b1cOPf6Ol7z5VkM8tSdiPJhpObsdeQa9ZKYfPJw2grsU2sE7vg4pPPtvXT0XtJe8pIZIPUhitzvDG2G65bduO9XYAb2jwpA8PfPxvAc/Cj1UFBU6YKtXPFBxsrooKbA6uDMuu9kz6zydcjg9LwhvPKTJT7zHPZG8S1KKPPi9rLuOLYw711uFu6GthDyIsd67ILMvvUnTUryAJ4C87bLCvBntWLwQBb277rOmu0Kl5LuI5wE8RvSwvKDC5zpZuLq8ucCTvIpSfDvYeZ070OEAPDCoI73ofFw7jSGaO/dXijzAVDW87xsevSCkNDxLHqC8or0mPESblLy/jE68rXkVO9bOnTlQCHI8GvZnvCT6lryCorS8si1nOotd/7zNvQy9WgykO1FMejx6HRI86358uz4UkzwsPLu7le6qPP3vzjvQY9u7nAEivFSD4Dx0+1q9axUYPGFSRDzC/wW8UPtAvF9qvbz1Tqi8tDtvPLEKtzpg7nC7wwbEPLYpJry6aqQ8spOwu+CWPbxOEJw8Cz3qPMEtSzx8YIU8fc1mPfK5jDl1bki8BRIovC43Iz3luag72aLfuvoJTzrfxIU8gwGKPHKdVDwJ4S68L7ApPOS15rzg3gu8qYn1vAfObruotj48a94dPJaYLDwGh5i8/aLTO5gp5TxXBoW8e03BPAfXBT31fL+8ZZm7OyM7/Tx1zWC4/tyOu/kbIj0ZKD68CP9nvOpkhzzAAJc86j+HPMPw0TwW4QU9F45yPMGTl7wCxCk8EEKNvHzL5rtIul+8AvhIPJZ/Nzzt4rA8RuTxO1+YvzyTH6g8KjLzuyZMHzxQv6+8SfgdPaqIdLxDyBU9GtYkPD0XIb0Xzgc8652yOr876TuLn3a7fopLvDN/uLz3uje86ba4vKmn07ymLQQ9ZhbQur8uzTrCjhw8b6SHPD03IzxH2Aa9L2QWve44Vb1w/047jjKCPDjYRz1cJJO7SdHKPMuF7Lz9ZKa72eytO1ZCyrtrMSm7ljCTO15X6zs49a+7urh/PCRC1LvV9hO9Ox4ePX4NzLylSci4k2EYPO+2gDzCcQ08UHHLPBn50bwNYss6eLx8PcbSvDsIOLi79p7cvDBFPzz3CuA86ABvvBFwXzz05Zk8EQNkO0TUMrzxpeu7vDhCPOAyHz2AEza8BtO+vJc407ybqQu9vKeLvDjZ0LzsxNu72E5FOZRic72DsvU8EmruvBQWNb1SAgG9xtVKuxLifbt9/7g7gW+UvCY+UbyJ3L48xOduvGNaTby62YI8pG8zvW6Xmjw8Q248OQiSPLh5oTxp9ie8vQdWuu16CzzLl2M7zDf3O472G71usVO9E8KivBjIvLztJtK8h+oFuqs877trHO+6phhnPFxctryiXgq9z53IPPuWtDvAPKw6kZXpuckJRLzoVIA88FgIPBe2ULzT2Ue8ZDNRvEb4tzwBfNi7JfYbOdtXXTyLgSW9WChVvIGA6jz/Kxi92/NEOpYkhLwVj/G7EOMVvP6KkTwljYS8mrrUvOALbrxzVQq9y2uFu4TeE7zfWnk8eo94u4MuazvyT5u6Qgr1ux3tgLwzjqG8b0hUu4QdjDyay5a8LTSavI2GBbxkKvA7OGA6POInj7wVGcS4cMWhPIpYYju6aaU88UDKO6hVCjvel+47gBYlO9erqLymzK27cc6+PNk/pTxtgq+8JSuyOhaDNjtUf9w7s+ZMPGCDNrxIGJW6RzDPvCxGl7vDjfi8J6a7OzfmrjydQNI7rcn0PIvUkjtjhYs7YyBXPBu5mjzO0UQ8M2dFvAqYQ7vErqs8vT66O4ouA7zuhiA8ESiSOwFCL7w3mku8RAplO8023rz4jQY9ZruQvFOsnjys9787FBKOvLa5yjwyLXW8AIy4PHDd/7pEjvG6sxkhvHI6BD07tmC8yg1MPL0IFT1UQYw7xYnbPAUR+zzOXD87BBfSPMp5oLxcm2+8MstMPG8ZP7toc/M897oYvRmflbyJ+4o7z7yVOnWmqbs8moY8TasdPDJUDD2va6y8pztPO0/VmrxEUhu718JWO85cnToNva686FX4uxnkFjxax1y8Sl+DvBN3fbz93EA75mY1PKIarDsB3X68GcAgOx9SVL2tQqo7FFF3vO/cIjpViAA8NZiIumq6zjxVUys9FiRJvCtDS7yIBgU7BlI+u/TumDpaGw+7xUBSPDAzoTv52N68FUGIO8by77xOyEE8XhmLvJwHGbxA6UG5P8ElvMM0uTw6OR29yXDQuveMnLzo+oi7s+gXOzovcL1FEW08jBqqvOcP+Ty+tno8IU2dvGWOIzzAasQ5QLb3PBcZsDyzxou5EQervFX7ILsYtPI7O0jAu3hT0Dwh0yS7BfCMPD8njTx3XEu7PxZVvENqEr1rVv483w3KPEs+uLwqPxQ8P2fRvGKCHbvOiRq58Jn9vOlKyLy8BK68RHQjvKoDgzxkNei7ajInPIHq5Lu4goe8PlBJvQ9i/Lwb57+8FLncvAZwKzwUTLu62EInvJX5D7yHK9E8yKA4vD2dW7tRcYs8QgILPZJDizxvMMS7lKkYvb/Q8DuBJDK9XTShvGxCt7wdepS85IMlPKWyg7zfzQ885Q2ePMzxhjxiNGK8q9vMulNjUzwbKo87HO1NPEk20ju7tnI8iNkjPK5DB7y3ESK9Q2wYPPFz9Dwa9hw8Xgf+POIloby7oB08ir3lPORMkTzfVCs7zW6au95hTbpxCJg7/guVPLkNgjy2nCM8TVvcO0tTAz3XeE28W7SXPIXODrzkl4K8u628vPEq8LykP+08z9+xPC6Jbrw7voy6KPcUvSKyd7z3Upk8OuMEvGYsrjysydg7mb8KO692Ab0Zl548rnMlvBNLTjw8yAy7QobUvIxmqTxxECu8QrGYvO0JWzytCcq8FQYVvL0ySDzX83U7/eS9u0xhSTwU9567hb9hvA4wvTzbnMg7Ma6UuyUKDLwED+K8KyibOtv4JLybQ1+8zLqUuyARejxoFkG95HiuPBcDLjwVzOU71vGgPG7QbT182Zg8M1v1vLEXAzyxHhy9V3DGvFvYCbwF2Si9RBluuayCkrxHnXW5eJz9O+FUbrtS2eu8Np0IPMvOJryKRxe8HxW7PEaqE7o5aRW9f3AdPEDAWrx2PrG7K2jHO6rTI7zL2ya8aqGzPM5F1zq6mhw8q3JxPJRJrjxXFKi8E5WLvNRiJTvVTiw7KRdoPCTXP7pdCYQ66UhPPGGtkLzj2RQ98kNJPMWwdzxEKFM8L27ovHfVUbwleq47KZP4PEyQHzwsl5S7cNoOvYCDzrya1gU7tOIKvRqqOjv49jg7RDo6u5JLfTyfZQO8gc4PO5I9Ej2SqAW8Q0PVupTv3TwTd308ndDMOwdUmjpbeIS8e4eEOl09Czzbhww8R6kNvdRT9rwcCtk7vplQvey5pDvnTkM8fC2FO87WcrwLAfY8KS9ZvKhZljvD4go81SCjO53N1LwJsQK9xHxCPEq20Ly1lFE7iUzDPI18LbxGWRu7ieIQPYZ9NTxAudE7oGe0uXnjEDs0VKG7sfiEORXAxjpMr627FG1PvGBo7rrqAuA8Io/5vC1rGbz1dBE8n1yYPIxYj7y4ema8kACrPI+3CDwnttw7Ut3FPFDROL199KM71l09u4ZvmLwEu4I8fRDAPKQ7sTx20bO7ADbHu7zG9Lvc5eu8EfTwO7mFfjwEr6W86T9cPNTcbrxYuIc8IhKgO6/Jb7zZ4ni6Wd+HvNWRnTr4Tcu88Pmfu29AyzqCcSo9iI0yPA0RrzyZjN66pTMxvNFPtrxm+Ae7FghpunRWw7xNbto7DAMVvPFhJj2+h6q7PL5FvPB9yLs93La8DuAtvLEzSrss0EW8umN6PMZFv7vLq888KFa3u9RhdzyMiD28d3G+O0umAj3YbKy8Aj2zPIIRDzy2PE+8U8UpPPHZDLtwf5U8OTbAOuiK6LxO/Q27dwvCO+bSUry4I407aTUjPD/hEj23oxw5ofaDPBe05bvvqRK9ORnhvHFtiLtbrw48bGB4PF9Ic7x+fX874WU5uyJvHjwIFTm8xHsFPG6aYbw6XXy7KPAYvdfz7rv2nKi622cXOnTFFTwD3te7/jyeulx6NzzXaRO7JgthOg==
+ index: 0
+ object: embedding
+ model: qwen3-embedding:4b
+ object: list
+ usage:
+ prompt_tokens: 2
+ total_tokens: 2
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/store/test_read_only.py b/tests/store/test_read_only.py
index 5c0e7efc..678e6d29 100644
--- a/tests/store/test_read_only.py
+++ b/tests/store/test_read_only.py
@@ -246,7 +246,7 @@ class TestClientReadOnly:
assert client.is_read_only is True
client.close()
- @pytest.mark.asyncio
+ @pytest.mark.vcr()
async def test_client_create_document_raises_when_read_only(self, temp_db_path):
"""Client.create_document() raises ReadOnlyError when read_only=True."""
client = HaikuRAG(temp_db_path, create=True)
@@ -256,7 +256,7 @@ class TestClientReadOnly:
with pytest.raises(ReadOnlyError):
await client.create_document("test content")
- @pytest.mark.asyncio
+ @pytest.mark.vcr()
async def test_client_delete_document_raises_when_read_only(self, temp_db_path):
"""Client.delete_document() raises ReadOnlyError when read_only=True."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -268,7 +268,7 @@ class TestClientReadOnly:
with pytest.raises(ReadOnlyError):
await client.delete_document(doc_id)
- @pytest.mark.asyncio
+ @pytest.mark.vcr()
async def test_client_search_works_when_read_only(self, temp_db_path):
"""Client.search() works in read-only mode."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -278,7 +278,7 @@ class TestClientReadOnly:
results = await client.search("cats")
assert len(results) > 0
- @pytest.mark.asyncio
+ @pytest.mark.vcr()
async def test_client_list_documents_works_when_read_only(self, temp_db_path):
"""Client.list_documents() works in read-only mode."""
async with HaikuRAG(temp_db_path, create=True) as client:
diff --git a/tests/test_chunk.py b/tests/test_chunk.py
index b20cbced..2738b383 100644
--- a/tests/test_chunk.py
+++ b/tests/test_chunk.py
@@ -6,7 +6,7 @@ from haiku.rag.config import Config
from haiku.rag.store.models.chunk import Chunk, ChunkMetadata, SearchResult
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_chunk_repository_operations(qa_corpus: Dataset, temp_db_path):
"""Test ChunkRepository operations."""
# Create client
@@ -47,7 +47,7 @@ async def test_chunk_repository_operations(qa_corpus: Dataset, temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_chunk_repository_pagination(qa_corpus: Dataset, temp_db_path):
"""Test ChunkRepository pagination with get_by_document_id and count_by_document_id."""
async with HaikuRAG(db_path=temp_db_path, config=Config, create=True) as client:
@@ -96,7 +96,7 @@ async def test_chunk_repository_pagination(qa_corpus: Dataset, temp_db_path):
assert len(empty_batch) == 0
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_chunking_pipeline(qa_corpus: Dataset, temp_db_path):
"""Test document chunking using client primitives."""
from haiku.rag.client import HaikuRAG
diff --git a/tests/test_client.py b/tests/test_client.py
index fb818bb1..bfe27c85 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -17,7 +17,7 @@ def vcr_cassette_dir():
return str(Path(__file__).parent / "cassettes" / "test_client")
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_document_crud(qa_corpus: Dataset, temp_db_path):
"""Test HaikuRAG CRUD operations for documents."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -84,7 +84,7 @@ async def test_client_document_crud(qa_corpus: Dataset, temp_db_path):
assert deleted_again is False
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document(qa_corpus: Dataset, temp_db_path):
"""Test updating document with individual parameters."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -155,7 +155,7 @@ async def test_client_update_document(qa_corpus: Dataset, temp_db_path):
assert doc_chunks[1].content == "Custom chunk 2"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_source(temp_db_path):
"""Test creating a document from a file source."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -186,7 +186,7 @@ async def test_client_create_document_from_source(temp_db_path):
assert "md5" in doc2.metadata
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_source_with_title(temp_db_path):
"""Test creating a document from a file source with a title."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -203,7 +203,7 @@ async def test_client_create_document_from_source_with_title(temp_db_path):
assert doc.title == "My Doc"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_title_noop_behavior(temp_db_path):
"""When content is unchanged, updating title should update document without re-chunking."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -225,7 +225,7 @@ async def test_client_update_title_noop_behavior(temp_db_path):
assert got.title == "Title B"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_source_unsupported(temp_db_path):
"""Test creating a document from an unsupported file type."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -241,7 +241,7 @@ async def test_client_create_document_from_source_unsupported(temp_db_path):
await client.create_document_from_source(temp_path)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_source_nonexistent(temp_db_path):
"""Test creating a document from a non-existent file."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -252,7 +252,7 @@ async def test_client_create_document_from_source_nonexistent(temp_db_path):
await client.create_document_from_source(non_existent_path)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_directory(temp_db_path):
"""Test creating documents from a directory recursively."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -287,7 +287,7 @@ async def test_client_create_document_from_directory(temp_db_path):
assert not any("unsupported.xyz" in uri for uri in uris)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_directory_with_filters(
monkeypatch, temp_db_path
):
@@ -336,7 +336,7 @@ async def test_client_create_document_from_directory_with_filters(
assert not any("debug.log" in uri for uri in uris)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_url(temp_db_path):
"""Test creating a document from a URL."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -362,7 +362,7 @@ async def test_client_create_document_from_url(temp_db_path):
assert doc.metadata["contentType"] == "text/html"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_url_with_different_content_types(
temp_db_path,
):
@@ -409,7 +409,7 @@ async def test_client_create_document_from_url_with_different_content_types(
assert doc.metadata["contentType"] == "text/plain"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_url_unsupported_content(temp_db_path):
"""Test creating a document from URL with unsupported content type."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -426,7 +426,7 @@ async def test_client_create_document_from_url_unsupported_content(temp_db_path)
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_url_http_error(temp_db_path):
"""Test handling HTTP errors when creating document from URL."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -443,7 +443,7 @@ async def test_client_create_document_from_url_http_error(temp_db_path):
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_get_extension_from_content_type_or_url(temp_db_path):
"""Test the helper method for determining file extensions."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -488,7 +488,7 @@ async def test_get_extension_from_content_type_or_url(temp_db_path):
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_metadata_content_type_and_md5(temp_db_path):
"""Test that contentType and md5 metadata are correctly set."""
import hashlib
@@ -523,7 +523,7 @@ async def test_client_metadata_content_type_and_md5(temp_db_path):
assert url_doc.metadata["md5"] == expected_md5
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_update_no_op_behavior(temp_db_path):
"""Test create/update/no-op behavior based on MD5 changes."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -562,7 +562,7 @@ async def test_client_create_update_no_op_behavior(temp_db_path):
assert retrieved_doc.content == updated_content
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_unchanged_file_keeps_timestamp(temp_db_path):
"""Test that unchanged files don't update the updated_at timestamp."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -584,7 +584,7 @@ async def test_client_unchanged_file_keeps_timestamp(temp_db_path):
assert doc2.updated_at == original_updated_at # Timestamp should not change
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_url_create_update_no_op_behavior(temp_db_path):
"""Test create/update/no-op behavior for URLs based on MD5 changes."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -623,7 +623,7 @@ async def test_client_url_create_update_no_op_behavior(temp_db_path):
assert doc3.content == updated_content.decode() # Updated content
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_search(temp_db_path):
"""Test HaikuRAG search functionality."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -666,7 +666,7 @@ async def test_client_search(temp_db_path):
assert len(limited_results) <= 1
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_async_context_manager(temp_db_path):
"""Test HaikuRAG as async context manager."""
@@ -691,7 +691,7 @@ async def test_client_async_context_manager(temp_db_path):
# but the test passing means the context manager methods work correctly
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_import_document_with_custom_chunks(temp_db_path):
"""Test importing a document with pre-created chunks."""
from docling_core.types.doc.document import DoclingDocument
@@ -762,7 +762,7 @@ async def test_client_ask(allow_model_requests, temp_db_path):
assert isinstance(citations, list)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_expand_context(temp_db_path):
"""Test that expand_context method exists and works with basic input."""
from haiku.rag.store.models import SearchResult
@@ -779,7 +779,7 @@ async def test_client_expand_context(temp_db_path):
assert expanded_results[0].score == 0.9
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_stores_docling_json(temp_db_path):
"""Test that create_document stores DoclingDocument JSON."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -801,7 +801,7 @@ async def test_client_create_document_stores_docling_json(temp_db_path):
assert parsed["version"] == doc.docling_version
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_import_document_stores_docling_data(temp_db_path):
"""Test that import_document stores DoclingDocument data correctly."""
from docling_core.types.doc.document import DoclingDocument
@@ -828,7 +828,7 @@ async def test_client_import_document_stores_docling_data(temp_db_path):
assert doc.docling_version == docling_doc.version
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_from_file_stores_docling_json(temp_db_path):
"""Test that create_document_from_source stores DoclingDocument JSON for files."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -850,7 +850,7 @@ async def test_client_create_document_from_file_stores_docling_json(temp_db_path
assert retrieved.docling_version == doc.docling_version
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document_stores_docling_json(temp_db_path):
"""Test that update_document stores DoclingDocument JSON when content changes."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -870,7 +870,7 @@ async def test_client_update_document_stores_docling_json(temp_db_path):
assert updated_doc.docling_document_json != original_json
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document_with_custom_chunks_no_docling_json(
temp_db_path,
):
@@ -891,7 +891,7 @@ async def test_client_update_document_with_custom_chunks_no_docling_json(
assert updated_doc.docling_document_json == original_json
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document_content_docling_mutually_exclusive(
temp_db_path,
):
@@ -915,7 +915,7 @@ async def test_client_update_document_content_docling_mutually_exclusive(
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document_with_docling_rechunks(temp_db_path):
"""Test that providing docling_document without chunks triggers rechunk."""
from docling_core.types.doc.document import DoclingDocument
@@ -952,7 +952,7 @@ async def test_client_update_document_with_docling_rechunks(temp_db_path):
assert new_chunks[0].content != original_chunks[0].content
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_update_document_docling_with_chunks(temp_db_path):
"""Test that providing both docling_document and chunks stores both."""
from docling_core.types.doc.document import DoclingDocument
@@ -990,7 +990,7 @@ async def test_client_update_document_docling_with_chunks(temp_db_path):
assert chunks[1].content == "Custom chunk 2"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_file_update_stores_docling_json(temp_db_path):
"""Test that updating a file re-stores DoclingDocument JSON."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1018,7 +1018,7 @@ async def test_client_file_update_stores_docling_json(temp_db_path):
assert doc2.docling_version == original_version # Version stays same
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_visualize_chunk_no_document(temp_db_path):
"""Test visualize_chunk returns empty list when chunk has no document_id."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1027,7 +1027,7 @@ async def test_client_visualize_chunk_no_document(temp_db_path):
assert images == []
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_visualize_chunk_no_bounding_boxes(temp_db_path):
"""Test visualize_chunk returns empty list when chunk has no bounding boxes."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1049,7 +1049,7 @@ async def test_client_visualize_chunk_no_bounding_boxes(temp_db_path):
assert images == []
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_visualize_chunk_returns_list(temp_db_path):
"""Test visualize_chunk returns a list (empty or with images)."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1082,7 +1082,7 @@ This is paragraph four about topic C.
@pytest.mark.integration
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_visualize_chunk_with_pdf(temp_db_path):
"""Test visualize_chunk returns images with bounding boxes for PDF documents."""
from PIL.Image import Image as PILImage
@@ -1120,7 +1120,7 @@ async def test_client_visualize_chunk_with_pdf(temp_db_path):
# =============================================================================
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_text(temp_db_path):
"""Test convert() with plain text content."""
from docling_core.types.doc.document import DoclingDocument
@@ -1135,7 +1135,7 @@ async def test_client_convert_text(temp_db_path):
assert "test content" in markdown
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_file(temp_db_path):
"""Test convert() with a file path."""
from docling_core.types.doc.document import DoclingDocument
@@ -1152,7 +1152,7 @@ async def test_client_convert_file(temp_db_path):
assert "File content" in markdown
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_file_not_found(temp_db_path):
"""Test convert() raises ValueError for non-existent file."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1160,7 +1160,7 @@ async def test_client_convert_file_not_found(temp_db_path):
await client.convert(Path("/nonexistent/path/file.txt"))
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_unsupported_extension(temp_db_path):
"""Test convert() raises ValueError for unsupported file extension."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1172,7 +1172,7 @@ async def test_client_convert_unsupported_extension(temp_db_path):
await client.convert(temp_path)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_file_uri(temp_db_path):
"""Test convert() with a file:// URI string."""
from docling_core.types.doc.document import DoclingDocument
@@ -1195,7 +1195,7 @@ async def test_client_convert_file_uri(temp_db_path):
# =============================================================================
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_chunk_basic(temp_db_path):
"""Test chunk() produces Chunk objects from DoclingDocument."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1215,7 +1215,7 @@ async def test_client_chunk_basic(temp_db_path):
assert all(c.document_id is None for c in chunks)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_chunk_preserves_metadata(temp_db_path):
"""Test chunk() preserves structured metadata from DoclingDocument."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1244,7 +1244,7 @@ This is a subsection.
assert has_metadata, "Chunks should have structured metadata"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_chunk_empty_document(temp_db_path):
"""Test chunk() with empty DoclingDocument."""
from docling_core.types.doc.document import DoclingDocument
@@ -1259,7 +1259,7 @@ async def test_client_chunk_empty_document(temp_db_path):
assert len(chunks) == 0
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_import_document_embeds_chunks_without_embeddings(temp_db_path):
"""Test that import_document embeds chunks that don't have embeddings."""
from docling_core.types.doc.document import DoclingDocument
@@ -1295,7 +1295,7 @@ async def test_import_document_embeds_chunks_without_embeddings(temp_db_path):
assert results[0].content == "First chunk without embedding"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_update_document_embeds_chunks_without_embeddings(temp_db_path):
"""Test that update_document embeds chunks that don't have embeddings."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1324,7 +1324,7 @@ async def test_update_document_embeds_chunks_without_embeddings(temp_db_path):
assert results[0].content == "Updated chunk without embedding"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_create_document_with_html_format(temp_db_path):
"""Test create_document with HTML format preserves document structure."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -1359,7 +1359,7 @@ async def test_client_create_document_with_html_format(temp_db_path):
assert "list_item" in labels
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_client_convert_with_html_format(temp_db_path):
"""Test convert with HTML format."""
async with HaikuRAG(temp_db_path, create=True) as client:
diff --git a/tests/test_context_enhancement.py b/tests/test_context_enhancement.py
index b0722aec..67cfbf61 100644
--- a/tests/test_context_enhancement.py
+++ b/tests/test_context_enhancement.py
@@ -86,7 +86,7 @@ def small_chunk_config() -> AppConfig:
return config
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_table_expansion_includes_split_rows(temp_db_path, small_chunk_config):
"""Verify that table expansion retrieves rows that were split into different chunks."""
docling_doc = create_table_document()
@@ -129,7 +129,7 @@ async def test_table_expansion_includes_split_rows(temp_db_path, small_chunk_con
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_list_expansion_includes_split_items(temp_db_path, small_chunk_config):
"""Verify that list expansion retrieves items that were split into different chunks."""
docling_doc = create_list_document()
@@ -177,7 +177,7 @@ async def test_list_expansion_includes_split_items(temp_db_path, small_chunk_con
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_code_expansion_includes_adjacent_blocks(
temp_db_path, small_chunk_config
):
@@ -223,7 +223,7 @@ async def test_code_expansion_includes_adjacent_blocks(
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_text_expansion_uses_radius(temp_db_path):
"""Text content expansion should use radius, not structural boundaries."""
config = AppConfig()
@@ -265,7 +265,7 @@ async def test_text_expansion_uses_radius(temp_db_path):
assert len(expanded[0].content) >= len(original.content)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expansion_preserves_metadata(temp_db_path, small_chunk_config):
"""Expansion should preserve document metadata."""
docling_doc = create_table_document()
@@ -284,7 +284,7 @@ async def test_expansion_preserves_metadata(temp_db_path, small_chunk_config):
assert expanded[0].document_id == results[0].document_id
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_format_for_agent_output(temp_db_path, small_chunk_config):
"""format_for_agent should include source, type, and content sections."""
docling_doc = create_table_document()
@@ -307,7 +307,7 @@ async def test_format_for_agent_output(temp_db_path, small_chunk_config):
assert "Content:" in formatted
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_max_items_limit_caps_expansion(temp_db_path):
"""Expansion should respect max_context_items limit."""
config = AppConfig()
@@ -334,7 +334,7 @@ async def test_max_items_limit_caps_expansion(temp_db_path):
assert item_count <= 2, f"Expected at most 2 items, got {item_count}"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_result_get_primary_label():
"""Test _get_primary_label prioritizes structural labels correctly."""
# Table should be prioritized
@@ -388,7 +388,7 @@ async def test_search_result_get_primary_label():
assert result._get_primary_label() is None
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_radius_zero(temp_db_path):
"""Test expand_context with radius 0 returns original results."""
# Default config has context_radius=0
@@ -406,7 +406,7 @@ async def test_expand_context_radius_zero(temp_db_path):
assert expanded_results[0].score == search_results[0].score
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_multiple_documents(temp_db_path):
"""Test expand_context with results from multiple documents."""
config = AppConfig()
@@ -467,7 +467,7 @@ async def test_expand_context_multiple_documents(temp_db_path):
assert "Doc2 Section Y" in expanded2.content
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_merges_overlapping_chunks(temp_db_path):
"""Test that overlapping expanded chunks are merged into one."""
config = AppConfig()
@@ -522,7 +522,7 @@ async def test_expand_context_merges_overlapping_chunks(temp_db_path):
assert merged.score == 0.8
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_keeps_separate_non_overlapping(temp_db_path):
"""Test that non-overlapping expanded chunks remain separate."""
config = AppConfig()
@@ -587,7 +587,7 @@ async def test_expand_context_keeps_separate_non_overlapping(temp_db_path):
assert chunk5_expanded.score == 0.7
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_with_docling_merges_overlapping(temp_db_path):
"""Test that expand_context with DoclingDocument merges overlapping results."""
config = AppConfig()
@@ -642,7 +642,7 @@ This is paragraph four about topic C.
assert r.doc_item_refs is not None
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_expand_context_docling_merges_metadata(temp_db_path):
"""Test that expand_context properly merges metadata from multiple results."""
config = AppConfig()
diff --git a/tests/test_database_autocreate.py b/tests/test_database_autocreate.py
index aabb6306..5b269a16 100644
--- a/tests/test_database_autocreate.py
+++ b/tests/test_database_autocreate.py
@@ -30,7 +30,7 @@ def test_database_created_with_create_flag():
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_operations_work_after_database_created():
"""Test that operations work after DB is created."""
with tempfile.TemporaryDirectory() as tmpdir:
diff --git a/tests/test_filter.py b/tests/test_filter.py
index 936253a0..1c54ad69 100644
--- a/tests/test_filter.py
+++ b/tests/test_filter.py
@@ -3,7 +3,7 @@ import pytest
from haiku.rag.client import HaikuRAG
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_with_uri_filter(temp_db_path):
"""Test filtering by document URI."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
@@ -37,7 +37,7 @@ async def test_search_with_uri_filter(temp_db_path):
assert result.document_uri == "https://other.com/java.html"
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_with_title_filter(temp_db_path):
"""Test filtering by document title."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
@@ -63,7 +63,7 @@ async def test_search_with_title_filter(temp_db_path):
assert "Python" in result.document_title
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_with_combined_filters(temp_db_path):
"""Test filtering with AND/OR conditions."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
@@ -102,7 +102,7 @@ async def test_search_with_combined_filters(temp_db_path):
assert len(results) > 0
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_with_no_matching_filter(temp_db_path):
"""Test that search returns empty results when filter matches no documents."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
@@ -120,7 +120,7 @@ async def test_search_with_no_matching_filter(temp_db_path):
assert len(results) == 0
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_with_invalid_filter(temp_db_path):
"""Test that invalid filter syntax raises an appropriate error."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
@@ -136,7 +136,7 @@ async def test_search_with_invalid_filter(temp_db_path):
await client.search("test", limit=5, filter="invalid = 'value'")
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_filter_with_all_search_types(temp_db_path):
"""Test that filtering works with all search types (vector, fts, hybrid)."""
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
diff --git a/tests/test_rebuild.py b/tests/test_rebuild.py
index fa410a70..b9737d6b 100644
--- a/tests/test_rebuild.py
+++ b/tests/test_rebuild.py
@@ -4,7 +4,7 @@ from datasets import Dataset
from haiku.rag.client import HaikuRAG, RebuildMode
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_rebuild_full(qa_corpus: Dataset, temp_db_path):
"""Test full rebuild: converts, chunks, and embeds all documents."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -34,7 +34,7 @@ async def test_rebuild_full(qa_corpus: Dataset, temp_db_path):
assert chunk_ids_before.isdisjoint(chunk_ids_after)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_rebuild_embed_only(qa_corpus: Dataset, temp_db_path):
"""Test embed-only rebuild: keeps chunks, only regenerates embeddings."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -70,7 +70,7 @@ async def test_rebuild_embed_only(qa_corpus: Dataset, temp_db_path):
assert chunk.content == chunk_contents_before[chunk.id]
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_rebuild_embed_only_skips_unchanged(qa_corpus: Dataset, temp_db_path):
"""Test embed-only rebuild skips chunks with unchanged embeddings."""
async with HaikuRAG(temp_db_path, create=True) as client:
@@ -106,7 +106,7 @@ async def test_rebuild_embed_only_skips_unchanged(qa_corpus: Dataset, temp_db_pa
assert embeddings_before[chunk_id] == embeddings_after[chunk_id]
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_rebuild_rechunk(qa_corpus: Dataset, temp_db_path):
"""Test rechunk rebuild: re-chunks from content without accessing source files."""
async with HaikuRAG(temp_db_path, create=True) as client:
diff --git a/tests/test_reranker.py b/tests/test_reranker.py
index 930793ae..7c3b0494 100644
--- a/tests/test_reranker.py
+++ b/tests/test_reranker.py
@@ -1,14 +1,10 @@
-import os
from pathlib import Path
import pytest
from haiku.rag.reranking.base import RerankerBase
-from haiku.rag.reranking.vllm import VLLMReranker
from haiku.rag.store.models.chunk import Chunk
-VLLM_RERANK_BASE_URL = os.getenv("VLLM_RERANK_BASE_URL", "")
-
@pytest.fixture(scope="module")
def vcr_cassette_dir():
@@ -65,7 +61,7 @@ async def test_mxbai_reranker():
@pytest.mark.asyncio
-@pytest.mark.skip(reason="Cohere sync client has VCR compatibility issues - TODO: fix")
+@pytest.mark.vcr()
async def test_cohere_reranker():
try:
from haiku.rag.reranking.cohere import CohereReranker
@@ -84,30 +80,7 @@ async def test_cohere_reranker():
@pytest.mark.asyncio
-@pytest.mark.skipif(
- not VLLM_RERANK_BASE_URL, reason="vLLM rerank server not configured"
-)
-async def test_vllm_reranker():
- try:
- reranker = VLLMReranker(
- "mixedbread-ai/mxbai-rerank-base-v2", VLLM_RERANK_BASE_URL
- )
-
- reranked = await reranker.rerank(
- "Who wrote 'To Kill a Mockingbird'?", chunks, top_n=2
- )
- assert [chunk.document_id for chunk, score in reranked] == ["0", "2"]
- assert all(isinstance(score, float) for chunk, score in reranked)
-
- except Exception:
- # Skip test if vLLM rerank server is not available
- pytest.skip("vLLM rerank server not available")
-
-
-@pytest.mark.asyncio
-@pytest.mark.skip(
- reason="ZeroEntropy sync client has VCR compatibility issues - TODO: fix"
-)
+@pytest.mark.vcr()
async def test_zeroentropy_reranker():
try:
from haiku.rag.reranking.zeroentropy import ZeroEntropyReranker
diff --git a/tests/test_search.py b/tests/test_search.py
index cf62845d..ff81b4da 100644
--- a/tests/test_search.py
+++ b/tests/test_search.py
@@ -6,7 +6,7 @@ from haiku.rag.config import Config
from haiku.rag.store.models import SearchResult
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_qa_corpus(qa_corpus: Dataset, temp_db_path):
"""Test that documents can be found by searching with their associated questions."""
# Create client
@@ -35,23 +35,23 @@ async def test_search_qa_corpus(qa_corpus: Dataset, temp_db_path):
for target_document, doc_data in documents:
question = doc_data["question"]
- # Test vector search
+ # Test vector search (limit=10 to accommodate different embedding models)
vector_results = await client.chunk_repository.search(
- question, limit=5, search_type="vector"
+ question, limit=10, search_type="vector"
)
target_document_ids = {chunk.document_id for chunk, _ in vector_results}
assert target_document.id in target_document_ids
# Test FTS search
fts_results = await client.chunk_repository.search(
- question, limit=5, search_type="fts"
+ question, limit=10, search_type="fts"
)
target_document_ids = {chunk.document_id for chunk, _ in fts_results}
assert target_document.id in target_document_ids
# Test hybrid search
hybrid_results = await client.chunk_repository.search(
- question, limit=5, search_type="hybrid"
+ question, limit=10, search_type="hybrid"
)
target_document_ids = {chunk.document_id for chunk, _ in hybrid_results}
assert target_document.id in target_document_ids
@@ -59,7 +59,7 @@ async def test_search_qa_corpus(qa_corpus: Dataset, temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_chunks_include_document_info(temp_db_path):
"""Test that search results include document URI and metadata."""
client = HaikuRAG(db_path=temp_db_path, config=Config, create=True)
@@ -91,7 +91,7 @@ async def test_chunks_include_document_info(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_chunks_include_document_title(temp_db_path):
"""Test that search results include the parent document title when present."""
client = HaikuRAG(db_path=temp_db_path, config=Config, create=True)
@@ -117,7 +117,7 @@ async def test_chunks_include_document_title(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_score_types(temp_db_path):
"""Test that different search types return appropriate score ranges."""
client = HaikuRAG(db_path=temp_db_path, config=Config, create=True)
@@ -187,7 +187,7 @@ async def test_search_score_types(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_returns_search_result(temp_db_path):
"""Test that client.search() returns SearchResult with provenance info."""
client = HaikuRAG(db_path=temp_db_path, config=Config, create=True)
@@ -214,7 +214,7 @@ async def test_search_returns_search_result(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_graceful_degradation(temp_db_path):
"""Test search works when docling data is unavailable."""
from haiku.rag.store.models import Chunk
@@ -245,7 +245,7 @@ async def test_search_graceful_degradation(temp_db_path):
client.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_search_result_format_includes_metadata(temp_db_path):
"""Test that formatted search results include document metadata."""
async with HaikuRAG(temp_db_path, create=True) as client:
diff --git a/tests/test_utils.py b/tests/test_utils.py
index a7edf512..2005d18e 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -10,7 +10,7 @@ from haiku.rag.utils import get_model
# Check for optional dependencies
HAS_ANTHROPIC = importlib.util.find_spec("anthropic") is not None
-HAS_GOOGLE = importlib.util.find_spec("google.generativeai") is not None
+HAS_GOOGLE = importlib.util.find_spec("google.genai") is not None
HAS_GROQ = importlib.util.find_spec("groq") is not None
HAS_BEDROCK = importlib.util.find_spec("botocore") is not None
diff --git a/tests/test_versioning.py b/tests/test_versioning.py
index bc404a0a..a9269ef0 100644
--- a/tests/test_versioning.py
+++ b/tests/test_versioning.py
@@ -4,7 +4,7 @@ from haiku.rag.client import HaikuRAG
from haiku.rag.store.engine import Store
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_version_rollback_on_create_failure(temp_db_path):
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
# Patch chunk_repository.create to succeed then fail, triggering rollback
@@ -29,7 +29,7 @@ async def test_version_rollback_on_create_failure(temp_db_path):
assert len(all_chunks) == 0
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_version_rollback_on_update_failure(temp_db_path):
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
# Create a valid document first
@@ -91,7 +91,7 @@ def test_existing_database_runs_upgrades(monkeypatch, temp_db_path):
assert called["value"]
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_vacuum_with_retention_threshold(temp_db_path):
async with HaikuRAG(db_path=temp_db_path, create=True) as client:
# Create first document
@@ -149,7 +149,7 @@ async def test_vacuum_with_retention_threshold(temp_db_path):
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_vacuum_completes_before_context_exit(temp_db_path, monkeypatch):
"""Test that background vacuum completes when context manager exits."""
from haiku.rag.config import Config
@@ -176,7 +176,7 @@ async def test_vacuum_completes_before_context_exit(temp_db_path, monkeypatch):
store.close()
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_auto_vacuum_disabled_skips_vacuum(temp_db_path, monkeypatch):
"""Test that auto_vacuum=False prevents automatic vacuum after operations."""
from haiku.rag.config import Config
@@ -202,7 +202,7 @@ async def test_auto_vacuum_disabled_skips_vacuum(temp_db_path, monkeypatch):
)
-@pytest.mark.asyncio
+@pytest.mark.vcr()
async def test_auto_vacuum_enabled_triggers_vacuum(temp_db_path, monkeypatch):
"""Test that auto_vacuum=True (default) triggers vacuum after operations."""
from haiku.rag.config import Config
diff --git a/uv.lock b/uv.lock
index 4165ea44..2889f0cd 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1266,6 +1266,7 @@ dev = [
{ name = "mkdocs" },
{ name = "mkdocs-material" },
{ name = "pre-commit" },
+ { name = "pydantic-ai-slim", extra = ["anthropic", "bedrock", "google", "groq"] },
{ name = "pyright" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
@@ -1288,6 +1289,10 @@ dev = [
{ name = "mkdocs", specifier = ">=1.6.1" },
{ name = "mkdocs-material", specifier = ">=9.7.0" },
{ name = "pre-commit", specifier = ">=4.5.0" },
+ { name = "pydantic-ai-slim", extras = ["anthropic"] },
+ { name = "pydantic-ai-slim", extras = ["bedrock"] },
+ { name = "pydantic-ai-slim", extras = ["google"] },
+ { name = "pydantic-ai-slim", extras = ["groq"] },
{ name = "pyright", specifier = ">=1.1.407" },
{ name = "pytest", specifier = ">=9.0.2" },
{ name = "pytest-asyncio", specifier = ">=1.3.0" },