sdk-python.mdx

title	Python SDK
description	Learn how to use the Metorial Python SDK for Python applications

**What you'll learn:**

• How to install the Metorial Python SDK
• How to make requests to the Metorial API using the SDK

Before you start:

• Create your API Keys

External resources:

• Python SDK on GitHub

The Metorial Python SDK provides a Pythonic interface for interacting with the Metorial API. Use it to manage provider deployments, create sessions, handle OAuth flows, and integrate MCP tools into your Python applications.

The SDK is fully typed with type hints for all methods and resources, making it ideal for use with modern Python development tools.

**Explore Python Examples:** Check out practical examples and sample code in the [metorial-python examples directory](https://github.com/metorial/metorial-python/tree/main/examples) on GitHub. Install the SDK using pip:

```bash
pip install metorial
```

To use the SDK, import the `Metorial` class and create an instance with your API key:

```python
import asyncio
from metorial import Metorial

metorial = Metorial(api_key="your-api-key")
```

You can now use the `metorial` instance to make requests to the Metorial API.

Connect to your deployed providers using `metorial.connect()`. Pass an adapter for your chosen AI provider and a list of provider deployments:

```python
from metorial import Metorial, metorial_openai

async def main():
    session = await metorial.connect(
        adapter=metorial_openai(),
        providers=[{"provider_deployment_id": "your-provider-deployment-id"}],
    )

    # See your available tools
    for tool in session.tools():
        print(f"- {tool['function']['name']}")

    # Call a tool directly
    result = await session.call_tool("search", {"query": "python news"})
    print(result)

asyncio.run(main())
```

The SDK includes type hints for all API resources. Use tools like mypy or your IDE's type checker to catch errors before runtime and get autocomplete suggestions for all API methods and parameters.