> ## Documentation Index
> Fetch the complete documentation index at: https://docs.requesty.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# PydanticAI

> Using Requesty router with PydanticAI

Do you use PydanticAI?

Integrating Requesty is a super simple 3 stage process:

* Set your Requesty API key
* Set your Requesty base URL
* Choose one of the 300+ [supported models](https://app.requesty.ai/model-list)

And get immediate value:

* Access to all the best LLMs
* A single API key to access all the providers
* Very clear spending dashboards
* Telemetry and logging out of the box

You can use the Requesty router to access any LLM, and get cost management, monitoring and fallbacks out-of-the-box.

## Configure via environment variables

Set:

* OPENAI\_API\_KEY=\[Your Requesty API key]
* OPENAI\_BASE\_URL="[https://router.requesty.ai/v1](https://router.requesty.ai/v1)"

Change the model parameter to any model, and you're done!

(Yes, you can use Anthropic or any other model without changing anything but the `model` parameter)

```python theme={"dark"}
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIModel

model = OpenAIModel(
    "anthropic/claude-sonnet-4-20250514",
)

agent = Agent(model)

async def main():
    response = await agent.run("What should I build with Requesty router, now that I have access to 150+ LLMs?")
    print(response)

if __name__ == "__main__":
    import asyncio
    asyncio.run(main())
```