haiku.rag/tests/cassettes/test_chunk/test_chunk_content_fts_populated.yaml
Yiorgis Gozadinos 22f22d2181
Add vcr to tests
2025-12-29 14:59:15 +02:00

42 lines
14 KiB
YAML

interactions:
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '100'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
encoding_format: base64
input:
- This is the raw 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: 8
total_tokens: 8
status:
code: 200
message: OK
version: 1