> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# DeepSeek

> Use DeepSeek models with Agno agents.

DeepSeek is a platform for providing endpoints for Large Language models.
See their library of models [here](https://api-docs.deepseek.com/quick_start/pricing).

We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

* `deepseek-chat` model is good for most basic use-cases.
* `deepseek-reasoner` model is good for complex reasoning and multi-step tasks.

DeepSeek does not have rate limits. See their [docs](https://api-docs.deepseek.com/quick_start/rate_limit) for information about how to deal with slower responses during high traffic.

## Authentication

Set your `DEEPSEEK_API_KEY` environment variable. Get your key from [here](https://platform.deepseek.com/api_keys).

<CodeGroup>
  ```bash Mac theme={null}
  export DEEPSEEK_API_KEY=***
  ```

  ```bash Windows theme={null}
  setx DEEPSEEK_API_KEY ***
  ```
</CodeGroup>

## Example

Use `DeepSeek` with your `Agent`:

<CodeGroup>
  ```python agent.py theme={null}
  from agno.agent import Agent
  from agno.models.deepseek import DeepSeek

  agent = Agent(model=DeepSeek(id="deepseek-chat"), markdown=True)

  # Print the response in the terminal
  agent.print_response("Share a 2 sentence horror story.")

  ```
</CodeGroup>

<Note> View more examples [here](/models/providers/native/deepseek/usage/basic). </Note>

## Parameters

| Parameter  | Type            | Default                      | Description                                                       |
| ---------- | --------------- | ---------------------------- | ----------------------------------------------------------------- |
| `id`       | `str`           | `"deepseek-chat"`            | The id of the DeepSeek model to use                               |
| `name`     | `str`           | `"DeepSeek"`                 | The name of the model                                             |
| `provider` | `str`           | `"DeepSeek"`                 | The provider of the model                                         |
| `api_key`  | `Optional[str]` | `None`                       | The API key for DeepSeek (defaults to DEEPSEEK\_API\_KEY env var) |
| `base_url` | `str`           | `"https://api.deepseek.com"` | The base URL for the DeepSeek API                                 |

`DeepSeek` extends the OpenAI-compatible interface and supports most parameters from the [OpenAI model](/models/providers/native/openai/completion/overview).

**Note**: DeepSeek's support for structured outputs is currently not fully compatible, so `supports_native_structured_outputs` is set to `False`.

## Available Models

* `deepseek-chat` - General-purpose conversational model, good for most use cases
* `deepseek-reasoner` - Advanced reasoning model optimized for complex problem-solving and multi-step tasks