# Groq

## Install

To use `GroqModel`, you need to either install `pydantic-ai`, or install `pydantic-ai-slim` with the `groq` optional group:

-   [pip](#tab-panel-80)
-   [uv](#tab-panel-81)

Terminal

```bash
pip install "pydantic-ai-slim[groq]"
```

Terminal

```bash
uv add "pydantic-ai-slim[groq]"
```

## Configuration

To use [Groq](https://groq.com/) through their API, go to [console.groq.com/keys](https://console.groq.com/keys) and follow your nose until you find the place to generate an API key.

`GroqModelName` contains a list of available Groq models.

## Environment variable

Once you have the API key, you can set it as an environment variable:

Terminal

```bash
export GROQ_API_KEY='your-api-key'
```

You can then use `GroqModel` by name:

```python
from pydantic_ai import Agent

agent = Agent('groq:llama-3.3-70b-versatile')
...
```

Or initialise the model directly with just the model name:

```python
from pydantic_ai import Agent
from pydantic_ai.models.groq import GroqModel

model = GroqModel('llama-3.3-70b-versatile')
agent = Agent(model)
...
```

## `provider` argument

You can provide a custom `Provider` via the `provider` argument:

```python
from pydantic_ai import Agent
from pydantic_ai.models.groq import GroqModel
from pydantic_ai.providers.groq import GroqProvider

model = GroqModel(
    'llama-3.3-70b-versatile', provider=GroqProvider(api_key='your-api-key')
)
agent = Agent(model)
...
```

You can also customize the `GroqProvider` with a custom `httpx.AsyncClient`:

```python
from httpx import AsyncClient

from pydantic_ai import Agent
from pydantic_ai.models.groq import GroqModel
from pydantic_ai.providers.groq import GroqProvider

custom_http_client = AsyncClient(timeout=30)
model = GroqModel(
    'llama-3.3-70b-versatile',
    provider=GroqProvider(api_key='your-api-key', http_client=custom_http_client),
)
agent = Agent(model)
...
```