haiku.rag/tests/cassettes/test_client/test_client_search.yaml
2026-05-14 14:37:27 +03:00

242 lines
85 KiB
YAML

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:
- '97'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
encoding_format: base64
input:
- 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: 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