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1.7 KiB

Groq

Install

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

pip/uv-add "pydantic-ai-slim[groq]"

Configuration

To use Groq through their API, go to 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:

export GROQ_API_KEY='your-api-key'

You can then use GroqModel by name:

from pydantic_ai import Agent

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

Or initialise the model directly with just the model name:

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:

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:

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)
...