> ## Documentation Index > Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Claude The Claude model provides access to Anthropic's Claude models. ## Parameters | Parameter | Type | Default | Description | | ------------------------------------ | --------------------------------------------------------------------------------- | ------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `id` | `str` | `"claude-sonnet-4-5-20250929"` | The id of the Anthropic Claude model to use | | `name` | `str` | `"Claude"` | The name of the model | | `provider` | `str` | `"Anthropic"` | The provider of the model | | `max_tokens` | `Optional[int]` | `8192` | Maximum number of tokens to generate in the chat completion | | `thinking` | `Optional[Dict[str, Any]]` | `None` | Configuration for the thinking (reasoning) process | | `output_config` | `Optional[Dict[str, Any]]` | `None` | Output configuration sent as the `output_config` request parameter | | `temperature` | `Optional[float]` | `None` | Controls randomness in the model's output | | `stop_sequences` | `Optional[List[str]]` | `None` | A list of strings that the model should stop generating text at | | `top_p` | `Optional[float]` | `None` | Controls diversity via nucleus sampling | | `top_k` | `Optional[int]` | `None` | Controls diversity via top-k sampling | | `cache_system_prompt` | `Optional[bool]` | `False` | Whether to cache the system prompt for improved performance | | `extended_cache_time` | `Optional[bool]` | `False` | Whether to use extended cache time (1 hour instead of default) | | `cache_tools` | `bool` | `False` | Tag the last tool definition with cache control so tool definitions are cached | | `system_prompt_blocks` | `Optional[Union[List[SystemPromptBlock], Callable[[], List[SystemPromptBlock]]]]` | `None` | Multi-block system prompt with per-block cache control, appended after the agent-built system message in the Anthropic `system` array. Callables are evaluated on every request, allowing dynamic per-request content in a cached system prompt | | `request_params` | `Optional[Dict[str, Any]]` | `None` | Additional parameters to include in the request | | `betas` | `Optional[List[str]]` | `None` | Anthropic beta flags enabling experimental or newly released features. Betas required for skills and structured outputs are added automatically | | `context_management` | `Optional[Dict[str, Any]]` | `None` | Context management configuration sent as the `context_management` request parameter | | `mcp_servers` | `Optional[List[MCPServerConfiguration]]` | `None` | List of MCP (Model Context Protocol) server configurations | | `skills` | `Optional[List[Dict[str, str]]]` | `None` | Claude Agent Skills to enable, e.g. `[{"type": "anthropic", "skill_id": "pptx", "version": "latest"}]`. Adds the required beta flags automatically | | `citations` | `bool` | `True` | Attach citations to document blocks. Suppressed automatically when structured output is active because Anthropic rejects citations together with `output_format` | | `append_trailing_user_message` | `Optional[bool]` | `None` | Append a trailing user turn when the conversation ends with an assistant message. Defaults to True for models without prefill support (Claude 4.6+) | | `trailing_user_message_content` | `str` | `"continue"` | Content of the appended trailing user message | | `api_key` | `Optional[str]` | `None` | The API key for authenticating with Anthropic | | `auth_token` | `Optional[str]` | `None` | Auth token for the Anthropic client. Falls back to the `ANTHROPIC_AUTH_TOKEN` environment variable | | `default_headers` | `Optional[Dict[str, Any]]` | `None` | Default headers to include in all requests | | `timeout` | `Optional[float]` | `None` | Request timeout in seconds | | `http_client` | `Optional[Union[httpx.Client, httpx.AsyncClient]]` | `None` | Custom httpx client to use for requests | | `client_params` | `Optional[Dict[str, Any]]` | `None` | Additional parameters for client configuration | | `client` | `Optional[AnthropicClient]` | `None` | A pre-configured instance of the Anthropic client | | `async_client` | `Optional[AsyncAnthropicClient]` | `None` | A pre-configured instance of the async Anthropic client | | `model_type` | `ModelType` | `ModelType.MODEL` | Functional role of this model (`MODEL`, `OUTPUT_MODEL`, or `PARSER_MODEL`). Set by the agent during initialization | | `supports_native_structured_outputs` | `bool` | `False` | Set to True automatically for Claude models that support native structured outputs | | `supports_json_schema_outputs` | `bool` | `False` | True if the model requires a JSON schema for structured outputs | | `system_prompt` | `Optional[str]` | `None` | System prompt from the model added to the Agent | | `instructions` | `Optional[List[str]]` | `None` | Instructions from the model added to the Agent | | `tool_message_role` | `str` | `"tool"` | Role used for tool messages | | `assistant_message_role` | `str` | `"assistant"` | Role used for assistant messages | | `cache_response` | `bool` | `False` | Cache model responses to avoid redundant API calls during development | | `cache_ttl` | `Optional[int]` | `None` | Time-to-live for cached model responses, in seconds. If None, cache never expires | | `cache_dir` | `Optional[str]` | `None` | Directory for cached model responses. If None, uses the default cache location | | `retries` | `int` | `0` | Number of retries to attempt before raising a ModelProviderError | | `delay_between_retries` | `int` | `1` | Delay between retries, in seconds | | `exponential_backoff` | `bool` | `False` | If True, the delay between retries is doubled each time | | `retry_with_guidance` | `bool` | `True` | Retry the model invocation with a guidance message for known errors avoidable with extra instructions | | `retry_with_guidance_limit` | `int` | `1` | Number of times to retry the model invocation with guidance |