{
  "_README": {
    "description": "Model metadata for Azure OpenAI / Azure AI Foundry-backed provider. The `models` definition can be copied from openrouter_models.json / custom_models.json",
    "documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/azure_models.md",
    "usage": "Models listed here are exposed through Azure AI Foundry. Aliases are case-insensitive.",
    "field_notes": "Matches providers/shared/model_capabilities.py.",
    "field_descriptions": {
      "model_name": "The model identifier e.g., 'gpt-4'",
      "deployment": "Azure model deployment name",
      "aliases": "Array of short names users can type instead of the full model name",
      "context_window": "Total number of tokens the model can process (input + output combined)",
      "max_output_tokens": "Maximum number of tokens the model can generate in a single response",
      "supports_extended_thinking": "Whether the model supports extended reasoning tokens (currently none do via OpenRouter or custom APIs)",
      "supports_json_mode": "Whether the model can guarantee valid JSON output",
      "supports_function_calling": "Whether the model supports function/tool calling",
      "supports_images": "Whether the model can process images/visual input",
      "max_image_size_mb": "Maximum total size in MB for all images combined (capped at 40MB max for custom models)",
      "supports_temperature": "Whether the model accepts temperature parameter in API calls (set to false for O3/O4 reasoning models)",
      "temperature_constraint": "Type of temperature constraint: 'fixed' (fixed value), 'range' (continuous range), 'discrete' (specific values), or omit for default range",
      "use_openai_response_api": "Set to true when the deployment must call Azure's /responses endpoint (O-series reasoning models). Leave false/omit for standard chat completions.",
      "default_reasoning_effort": "Default reasoning effort level for models that support it (e.g., 'low', 'medium', 'high'). Omit if not applicable.",
      "description": "Human-readable description of the model",
      "intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering"
    }
  },
  "_example_models": [
    {
      "model_name": "gpt-4",
      "deployment": "gpt-4",
      "aliases": [
        "gpt4"
      ],
      "context_window": 128000,
      "max_output_tokens": 16384,
      "supports_extended_thinking": false,
      "supports_json_mode": true,
      "supports_function_calling": false,
      "supports_images": false,
      "max_image_size_mb": 0.0,
      "supports_temperature": false,
      "temperature_constraint": "fixed",
      "use_openai_response_api": false,
      "description": "GPT-4 (128K context, 16K output)",
      "intelligence_score": 10
    }
  ],
  "models": []
}
