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1.8 KiB
1.8 KiB
Cerebras
Install
To use CerebrasModel, you need to either install pydantic-ai, or install pydantic-ai-slim with the cerebras optional group:
pip/uv-add "pydantic-ai-slim[cerebras]"
Configuration
To use Cerebras through their API, go to cloud.cerebras.ai and generate an API key.
For a list of available models, see the Cerebras models documentation.
Environment variable
Once you have the API key, you can set it as an environment variable:
export CEREBRAS_API_KEY='your-api-key'
You can then use CerebrasModel by name:
from pydantic_ai import Agent
agent = Agent('cerebras:llama-3.3-70b')
...
Or initialise the model directly with just the model name:
from pydantic_ai import Agent
from pydantic_ai.models.cerebras import CerebrasModel
model = CerebrasModel('llama-3.3-70b')
agent = Agent(model)
...
provider argument
You can provide a custom Provider via the provider argument:
from pydantic_ai import Agent
from pydantic_ai.models.cerebras import CerebrasModel
from pydantic_ai.providers.cerebras import CerebrasProvider
model = CerebrasModel(
'llama-3.3-70b', provider=CerebrasProvider(api_key='your-api-key')
)
agent = Agent(model)
...
You can also customize the CerebrasProvider with a custom httpx.AsyncClient:
from httpx import AsyncClient
from pydantic_ai import Agent
from pydantic_ai.models.cerebras import CerebrasModel
from pydantic_ai.providers.cerebras import CerebrasProvider
custom_http_client = AsyncClient(timeout=30)
model = CerebrasModel(
'llama-3.3-70b',
provider=CerebrasProvider(api_key='your-api-key', http_client=custom_http_client),
)
agent = Agent(model)
...