{
  "provider": "Google Gemini",
  "providerId": "google-gemini",
  "kind": "json-structure",
  "description": "Structural overview of the Google Gemini API surface; extracted from openapi/.",
  "schemaCount": 24,
  "operationCount": 3,
  "schemas": [
    {
      "name": "GenerateContentRequest",
      "type": "object",
      "propertyCount": 7,
      "required": [
        "contents"
      ]
    },
    {
      "name": "GenerateContentResponse",
      "type": "object",
      "propertyCount": 5,
      "required": []
    },
    {
      "name": "Content",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "Part",
      "type": "object",
      "propertyCount": 5,
      "required": []
    },
    {
      "name": "Blob",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "FileData",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "FunctionCall",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "FunctionResponse",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "Tool",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "FunctionDeclaration",
      "type": "object",
      "propertyCount": 3,
      "required": [
        "name"
      ]
    },
    {
      "name": "ToolConfig",
      "type": "object",
      "propertyCount": 1,
      "required": []
    },
    {
      "name": "FunctionCallingConfig",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "SafetySetting",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "GenerationConfig",
      "type": "object",
      "propertyCount": 11,
      "required": []
    },
    {
      "name": "Candidate",
      "type": "object",
      "propertyCount": 6,
      "required": []
    },
    {
      "name": "SafetyRating",
      "type": "object",
      "propertyCount": 3,
      "required": []
    },
    {
      "name": "CitationMetadata",
      "type": "object",
      "propertyCount": 1,
      "required": []
    },
    {
      "name": "CitationSource",
      "type": "object",
      "propertyCount": 4,
      "required": []
    },
    {
      "name": "PromptFeedback",
      "type": "object",
      "propertyCount": 2,
      "required": []
    },
    {
      "name": "UsageMetadata",
      "type": "object",
      "propertyCount": 4,
      "required": []
    },
    {
      "name": "EmbedContentRequest",
      "type": "object",
      "propertyCount": 4,
      "required": [
        "content"
      ]
    },
    {
      "name": "EmbedContentResponse",
      "type": "object",
      "propertyCount": 1,
      "required": []
    },
    {
      "name": "ContentEmbedding",
      "type": "object",
      "propertyCount": 1,
      "required": []
    },
    {
      "name": "ErrorResponse",
      "type": "object",
      "propertyCount": 1,
      "required": []
    }
  ],
  "operations": [
    {
      "method": "POST",
      "path": "/models/{model}:generateContent",
      "operationId": "generateContent",
      "summary": "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.",
      "tags": [
        "Content Generation"
      ]
    },
    {
      "method": "POST",
      "path": "/models/{model}:streamGenerateContent",
      "operationId": "streamGenerateContent",
      "summary": "Google Gemini Generates a streamed response from the model given an input GenerateContentRequest. Returns a stream of GenerateContentResponse chunks using server-sent events.",
      "tags": [
        "Content Generation"
      ]
    },
    {
      "method": "POST",
      "path": "/models/{model}:embedContent",
      "operationId": "embedContent",
      "summary": "Google Gemini Generates a text embedding vector from the input Content using the specified Gemini Embedding model.",
      "tags": [
        "Embeddings"
      ]
    }
  ]
}