haiku.rag/tests/cassettes/test_embedder/test_openai_embedder.yaml

interactions:
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    headers:
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      accept-encoding:
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      connection:
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      content-length:
      - '185'
      content-type:
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      host:
      - api.openai.com
    method: POST
    parsed_body:
      encoding_format: base64
      input:
      - I enjoy eating great food.
      - Python is my favorite programming language.
      - I love to travel and see new places.
      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:
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      content-type:
      - application/json
      openai-model:
      - text-embedding-3-small
      openai-organization:
      - enfold-systems
      openai-processing-ms:
      - '69'
      openai-project:
      - proj_XYweeUJpJHbbRSNsezto5Wfh
      openai-version:
      - '2020-10-01'
      strict-transport-security:
      - max-age=31536000; includeSubDomains; preload
      transfer-encoding:
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    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: 0
        object: embedding
      model: text-embedding-3-small
      object: list
      usage:
        prompt_tokens: 7
        total_tokens: 7
    status:
      code: 200
      message: OK
version: 1