naftiko: 1.0.0-alpha2
info:
  label: Google Gemini API
  description: Google's Gemini API provides access to generative AI models for text generation, multimodal understanding,
    and embedding creation. The API supports text, image, audio, and video inputs with configurable safety settings, generation
    parameters, and tool use capabilities.
  tags:
  - Google
  - Gemini
  - API
  created: '2026-05-06'
  modified: '2026-05-06'
capability:
  consumes:
  - type: http
    namespace: google-gemini
    baseUri: https://generativelanguage.googleapis.com/v1beta
    description: Google Gemini API HTTP API.
    authentication:
      type: apikey
      in: query
      name: key
      value: '{{GOOGLE_GEMINI_TOKEN}}'
    resources:
    - name: models-model-generatecontent
      path: /models/{model}:generateContent
      operations:
      - name: generatecontent
        method: POST
        description: Google Gemini Generates a model response given an input GenerateContentRequest. Refer to the text generation
          guide for detailed usage information. Input capabilities differ between models, including tuned models.
        inputParameters:
        - name: model
          in: path
          type: string
          required: true
          description: 'The name of the Model to use for generating the completion. Format: models/{model}. Example: models/gemini-2.0-flash.'
        - name: key
          in: query
          type: string
          required: true
          description: API key for authentication.
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: models-model-streamgeneratecontent
      path: /models/{model}:streamGenerateContent
      operations:
      - name: streamgeneratecontent
        method: POST
        description: Google Gemini Generates a streamed response from the model given an input GenerateContentRequest. Returns
          a stream of GenerateContentResponse chunks using server-sent events.
        inputParameters:
        - name: model
          in: path
          type: string
          required: true
          description: 'The name of the Model to use for generating the completion. Format: models/{model}. Example: models/gemini-2.0-flash.'
        - name: key
          in: query
          type: string
          required: true
          description: API key for authentication.
        - name: alt
          in: query
          type: string
          description: Set to 'sse' for server-sent events streaming.
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: models-model-embedcontent
      path: /models/{model}:embedContent
      operations:
      - name: embedcontent
        method: POST
        description: Google Gemini Generates a text embedding vector from the input Content using the specified Gemini Embedding
          model.
        inputParameters:
        - name: model
          in: path
          type: string
          required: true
          description: 'The model name to use for embedding. Format: models/{model}. Example: models/gemini-embedding-001.'
        - name: key
          in: query
          type: string
          required: true
          description: API key for authentication.
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
  exposes:
  - type: rest
    port: 8080
    namespace: google-gemini-rest
    description: REST adapter for Google Gemini API.
    resources:
    - path: /models/{model}:generateContent
      name: generatecontent
      operations:
      - method: POST
        name: generatecontent
        description: Google Gemini Generates a model response given an input GenerateContentRequest. Refer to the text generation
          guide for detailed usage information. Input capabilities differ between models, including tuned models.
        call: google-gemini.generatecontent
        with:
          model: rest.model
        outputParameters:
        - type: object
          mapping: $.
    - path: /models/{model}:streamGenerateContent
      name: streamgeneratecontent
      operations:
      - method: POST
        name: streamgeneratecontent
        description: Google Gemini Generates a streamed response from the model given an input GenerateContentRequest. Returns
          a stream of GenerateContentResponse chunks using server-sent events.
        call: google-gemini.streamgeneratecontent
        with:
          model: rest.model
        outputParameters:
        - type: object
          mapping: $.
    - path: /models/{model}:embedContent
      name: embedcontent
      operations:
      - method: POST
        name: embedcontent
        description: Google Gemini Generates a text embedding vector from the input Content using the specified Gemini Embedding
          model.
        call: google-gemini.embedcontent
        with:
          model: rest.model
        outputParameters:
        - type: object
          mapping: $.
  - type: mcp
    port: 9090
    namespace: google-gemini-mcp
    transport: http
    description: MCP adapter for Google Gemini API for AI agent use.
    tools:
    - name: generatecontent
      description: Google Gemini Generates a model response given an input GenerateContentRequest. Refer to the text generation
        guide for detailed usage information. Input capabilities differ between models, including tuned models.
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-gemini.generatecontent
      with:
        model: tools.model
        key: tools.key
      inputParameters:
      - name: model
        type: string
        description: 'The name of the Model to use for generating the completion. Format: models/{model}. Example: models/gemini-2.0-flash.'
        required: true
      - name: key
        type: string
        description: API key for authentication.
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: streamgeneratecontent
      description: Google Gemini Generates a streamed response from the model given an input GenerateContentRequest. Returns
        a stream of GenerateContentResponse chunks using server-sent events.
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-gemini.streamgeneratecontent
      with:
        model: tools.model
        key: tools.key
        alt: tools.alt
      inputParameters:
      - name: model
        type: string
        description: 'The name of the Model to use for generating the completion. Format: models/{model}. Example: models/gemini-2.0-flash.'
        required: true
      - name: key
        type: string
        description: API key for authentication.
        required: true
      - name: alt
        type: string
        description: Set to 'sse' for server-sent events streaming.
      outputParameters:
      - type: object
        mapping: $.
    - name: embedcontent
      description: Google Gemini Generates a text embedding vector from the input Content using the specified Gemini Embedding
        model.
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-gemini.embedcontent
      with:
        model: tools.model
        key: tools.key
      inputParameters:
      - name: model
        type: string
        description: 'The model name to use for embedding. Format: models/{model}. Example: models/gemini-embedding-001.'
        required: true
      - name: key
        type: string
        description: API key for authentication.
        required: true
      outputParameters:
      - type: object
        mapping: $.
binds:
- namespace: env
  keys:
    GOOGLE_GEMINI_TOKEN: GOOGLE_GEMINI_TOKEN