openapi: 3.1.0
info:
  title: Google Gemini Embeddings Utility API
  description: 'REST API for Google Gemini generative AI models. Supports text generation,

    chat, multimodal input, embeddings, file management, token counting,

    and batch operations. Authenticated with an API key from Google AI Studio.

    '
  version: v1beta
  contact:
    name: Gemini API Documentation
    url: https://ai.google.dev/api
servers:
- url: https://generativelanguage.googleapis.com
  description: Production
security:
- apiKeyQuery: []
- apiKeyHeader: []
tags:
- name: Utility
  description: Token counting and other helpers
paths:
  /v1beta/models/{model}:countTokens:
    post:
      tags:
      - Utility
      summary: Count tokens for a prompt
      operationId: countTokens
      parameters:
      - $ref: '#/components/parameters/Model'
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                contents:
                  type: array
                  items:
                    $ref: '#/components/schemas/Content'
      responses:
        '200':
          description: Token count
          content:
            application/json:
              schema:
                type: object
                properties:
                  totalTokens:
                    type: integer
components:
  schemas:
    Content:
      type: object
      properties:
        role:
          type: string
          enum:
          - user
          - model
          - system
        parts:
          type: array
          items:
            $ref: '#/components/schemas/Part'
    Part:
      type: object
      properties:
        text:
          type: string
        inlineData:
          type: object
          properties:
            mimeType:
              type: string
            data:
              type: string
              format: byte
        fileData:
          type: object
          properties:
            mimeType:
              type: string
            fileUri:
              type: string
  parameters:
    Model:
      name: model
      in: path
      required: true
      description: Model identifier (e.g. "gemini-1.5-pro")
      schema:
        type: string
  securitySchemes:
    apiKeyQuery:
      type: apiKey
      in: query
      name: key
      description: Gemini API key from Google AI Studio
    apiKeyHeader:
      type: apiKey
      in: header
      name: x-goog-api-key
      description: Gemini API key passed via header