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mcp-run-python

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pydantic-ai
tests
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test_embeddings

TestVoyageAI.test_documents.yaml•11.5 KiB

interactions:
- request:
    headers:
      content-type:
      - application/json
    method: post
    parsed_body:
      encoding_format: base64
      input:
      - hello
      - world
      input_type: document
      model: voyage-3.5
      output_dimension: null
      output_dtype: null
      truncation: false
    uri: https://api.voyageai.com/v1/embeddings
  response:
    headers:
      alt-svc:
      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
      content-length:
      - '11098'
      content-type:
      - application/json
    parsed_body:
      data:
      - embedding: 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/DzEXNk8wx+SPBHPEbzx7T67ZJEmvJ1/gj3u0ra8sqEkPSmXA72yAiM9cxeHPKmcfT0mIpG8hMUVPQ0cPzvmbc277pSzPJ5ocTxSlna9y5mUPW7gXTyWcui8xIz6u0kPzjzv9PU7taoBvefHFD1ln4i7Swfbu6mcfbxDf3Y8rBIJPTRb0Du/SoA8EiCZvK9rlDr83BC7VxhsPEEm67yi0Bo9mah4vWygjbqAc8E8us8ePJ1+xrwQtIm9utznvLT6rz2r1AW9+20wvbxEEb0uvtI8bEksvezaKb2yAiO7vXSyvCPkUzyms468rptYPGMjgj3BlG29whEwvadeerzDsLE8DteEPR0QRD1BlUs8FgTmPBywATskmKi8A7gRvXSgMzzcd8Q89CNPPUiSD7yzfqm88tD4O63uUbwndPE8WegEvH7Uv7wRMBC9p2anPHd9uDxJD067lRImvA==
        index: 0
        object: embedding
      - embedding: 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
        index: 1
        object: embedding
      model: voyage-3.5
      object: list
      usage:
        total_tokens: 0
    status:
      code: 200
      message: OK
version: 1

Loading blob content...

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/pydantic/pydantic-ai'

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TestVoyageAI.test_documents.yaml•11.5 KiB

interactions:
- request:
    headers:
      content-type:
      - application/json
    method: post
    parsed_body:
      encoding_format: base64
      input:
      - hello
      - world
      input_type: document
      model: voyage-3.5
      output_dimension: null
      output_dtype: null
      truncation: false
    uri: https://api.voyageai.com/v1/embeddings
  response:
    headers:
      alt-svc:
      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
      content-length:
      - '11098'
      content-type:
      - application/json
    parsed_body:
      data:
      - embedding: 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        index: 0
        object: embedding
      - embedding: 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2TxW5Zc8T2zSPN09lLyFOY+8buQsvayqlz1Dt+47dM7oPFt1y7tzx/E8IeLUPGfQpj2yryu88YIAPbOwr7sBpp283TchPc33c7uWVDG9JNl6PaJgYTxy5zi9l0NcPGu64jxTirY7lCxvvAGSvDwJhvu8xHwAvPiKoLx+BcK7pXy9PONPkrtVhss6kj3EvNIgj7y1xZQ8Rz74O49PHb02ShQ9xNg7vepwAjwjC5u6+3lLvMPfsrwJoE+9/Yc5vcPfsj2/wU69W7KdvMv5K7154GY8/2h2ve9bwrx67gG8ZK3TvCQZCT1GeJO6+ndDu/iXij30RHq9R4YBvZCOIjxALPo8NEgMPXwkBT0YZKU8kzjVPDRkkzs3yHE86i5svS8jMbtgEuk8A7SLPXXqxLsjC5u7IfY1PTIgyrxavgM9f8MtPE6Zg7xVnxu94DmpPOo14zwgCZO73kWPvA==
        index: 1
        object: embedding
      model: voyage-3.5
      object: list
      usage:
        total_tokens: 0
    status:
      code: 200
      message: OK
version: 1