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

# Cohere

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

## Parameters

| Parameter               | Type                       | Default                    | Description                                                      |
| ----------------------- | -------------------------- | -------------------------- | ---------------------------------------------------------------- |
| `id`                    | `str`                      | `"command-r-plus-08-2024"` | The id of the Cohere model to use                                |
| `name`                  | `str`                      | `"CohereChat"`             | The name of the model                                            |
| `provider`              | `str`                      | `"Cohere"`                 | The provider of the model                                        |
| `api_key`               | `Optional[str]`            | `None`                     | The API key for Cohere (defaults to COHERE\_API\_KEY env var)    |
| `max_tokens`            | `Optional[int]`            | `None`                     | Maximum number of tokens to generate                             |
| `temperature`           | `Optional[float]`          | `None`                     | Controls randomness in the model's output (0.0 to 1.0)           |
| `p`                     | `Optional[float]`          | `None`                     | Controls diversity via nucleus sampling (0.0 to 1.0)             |
| `k`                     | `Optional[int]`            | `None`                     | Controls diversity via top-k sampling                            |
| `seed`                  | `Optional[int]`            | `None`                     | Random seed for deterministic sampling                           |
| `frequency_penalty`     | `Optional[float]`          | `None`                     | Reduces repetition by penalizing frequent tokens (0.0 to 1.0)    |
| `presence_penalty`      | `Optional[float]`          | `None`                     | Reduces repetition by penalizing present tokens (0.0 to 1.0)     |
| `stop_sequences`        | `Optional[List[str]]`      | `None`                     | List of strings that stop generation                             |
| `response_format`       | `Optional[Dict[str, Any]]` | `None`                     | Specifies the format of the response (e.g., JSON)                |
| `citation_options`      | `Optional[Dict[str, Any]]` | `None`                     | Options for citation generation                                  |
| `request_params`        | `Optional[Dict[str, Any]]` | `None`                     | Additional parameters to include in the request                  |
| `client_params`         | `Optional[Dict[str, Any]]` | `None`                     | Additional parameters for client configuration                   |
| `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          |