> ## 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.

# Meta

The Meta model provides access to Meta's language models.

## Parameters

| Parameter                            | Type                                               | Default                                    | Description                                                                               |
| ------------------------------------ | -------------------------------------------------- | ------------------------------------------ | ----------------------------------------------------------------------------------------- |
| `id`                                 | `str`                                              | `"Llama-4-Maverick-17B-128E-Instruct-FP8"` | The id of the Llama model to use                                                          |
| `name`                               | `str`                                              | `"Llama"`                                  | The name of the model                                                                     |
| `provider`                           | `str`                                              | `"Llama"`                                  | The provider of the model                                                                 |
| `max_completion_tokens`              | `Optional[int]`                                    | `None`                                     | Maximum number of tokens to generate                                                      |
| `repetition_penalty`                 | `Optional[float]`                                  | `None`                                     | Penalty for repeating tokens (higher values reduce repetition)                            |
| `temperature`                        | `Optional[float]`                                  | `None`                                     | Controls randomness in the model's output                                                 |
| `top_p`                              | `Optional[float]`                                  | `None`                                     | Controls diversity via nucleus sampling                                                   |
| `top_k`                              | `Optional[int]`                                    | `None`                                     | Controls diversity via top-k sampling                                                     |
| `extra_headers`                      | `Optional[Any]`                                    | `None`                                     | Additional headers for the request                                                        |
| `extra_query`                        | `Optional[Any]`                                    | `None`                                     | Additional query parameters for the request                                               |
| `extra_body`                         | `Optional[Any]`                                    | `None`                                     | Additional body fields for the request                                                    |
| `request_params`                     | `Optional[Dict[str, Any]]`                         | `None`                                     | Additional parameters to include in the request                                           |
| `api_key`                            | `Optional[str]`                                    | `None`                                     | The API key for the Llama API (defaults to LLAMA\_API\_KEY env var)                       |
| `base_url`                           | `Optional[Union[str, httpx.URL]]`                  | `None`                                     | The base URL for the Llama API                                                            |
| `timeout`                            | `Optional[float]`                                  | `None`                                     | Request timeout in seconds                                                                |
| `max_retries`                        | `Optional[int]`                                    | `None`                                     | Maximum number of client retries for failed requests                                      |
| `default_headers`                    | `Optional[Any]`                                    | `None`                                     | Default headers for client requests                                                       |
| `default_query`                      | `Optional[Any]`                                    | `None`                                     | Default query parameters for client requests                                              |
| `http_client`                        | `Optional[Union[httpx.Client, httpx.AsyncClient]]` | `None`                                     | Custom HTTP client for requests                                                           |
| `client_params`                      | `Optional[Dict[str, Any]]`                         | `None`                                     | Additional parameters for client configuration                                            |
| `client`                             | `Optional[LlamaAPIClient]`                         | `None`                                     | Pre-configured Llama API client                                                           |
| `async_client`                       | `Optional[AsyncLlamaAPIClient]`                    | `None`                                     | Pre-configured async Llama API client                                                     |
| `model_type`                         | `ModelType`                                        | `ModelType.MODEL`                          | Functional role of this model (`MODEL`, `OUTPUT_MODEL`, `PARSER_MODEL`). Set by the agent |
| `supports_native_structured_outputs` | `bool`                                             | `False`                                    | Whether the model supports structured outputs natively                                    |
| `supports_json_schema_outputs`       | `bool`                                             | `True`                                     | Whether the model uses 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 of tool messages                                                                     |
| `assistant_message_role`             | `str`                                              | `"assistant"`                              | Role of 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 responses, in seconds                                             |
| `cache_dir`                          | `Optional[str]`                                    | `None`                                     | Directory for the response cache. Defaults to `~/.agno/cache/model_responses`             |
| `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 a failed model invocation once with a guidance message appended                     |
| `retry_with_guidance_limit`          | `int`                                              | `1`                                        | Number of times to retry the model invocation with guidance                               |