> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-redirect-agent-platform-overview.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Model

The Model class is the base class for all models in Agno. It provides common functionality and parameters that are inherited by specific model implementations like OpenAIChat, Claude, etc.

## Parameters

| Parameter               | Type                              | Default  | Description                                                                             |
| ----------------------- | --------------------------------- | -------- | --------------------------------------------------------------------------------------- |
| `id`                    | `str`                             | Required | The id/name of the model to use                                                         |
| `name`                  | `Optional[str]`                   | `None`   | The display name of the model                                                           |
| `provider`              | `Optional[str]`                   | `None`   | The provider of the model                                                               |
| `frequency_penalty`     | `Optional[float]`                 | `None`   | Penalizes new tokens based on their frequency in the text so far                        |
| `presence_penalty`      | `Optional[float]`                 | `None`   | Penalizes new tokens based on whether they appear in the text so far                    |
| `response_format`       | `Optional[str]`                   | `None`   | The format of the response                                                              |
| `seed`                  | `Optional[int]`                   | `None`   | Random seed for deterministic sampling                                                  |
| `stop`                  | `Optional[Union[str, List[str]]]` | `None`   | Up to 4 sequences where the API will stop generating further tokens                     |
| `stream`                | `bool`                            | `True`   | Whether to stream the response                                                          |
| `temperature`           | `Optional[float]`                 | `None`   | Controls randomness in the model's output                                               |
| `top_p`                 | `Optional[float]`                 | `None`   | Controls diversity via nucleus sampling                                                 |
| `max_tokens`            | `Optional[int]`                   | `None`   | Maximum number of tokens to generate                                                    |
| `request_params`        | `Optional[Dict[str, Any]]`        | `None`   | Additional parameters to include in the request                                         |
| `cache_response`        | `bool`                            | `False`  | Enable caching of model responses to avoid redundant API calls                          |
| `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 path for storing cached model responses. If None, uses 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                                 |