> For the complete documentation index, see [llms.txt](https://infronai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infronai.gitbook.io/docs/frameworks-and-integrations/pydanticai.md).

# PydanticAI

## Using PydanticAI

[PydanticAI](https://github.com/pydantic/pydantic-ai) provides a high-level interface for working with various LLM providers, including Infron AI.

### Installation

```bash
pip install 'pydantic-ai-slim[openai]'
```

### Configuration

You can use Infron AI with PydanticAI through its OpenAI-compatible interface:

```python
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIModel

model = OpenAIModel(
    "claude-3-5-sonnet@20240620",  # or any other Infron AI model
    base_url="https://llm.onerouter.pro/v1",
    api_key="API_KEY",
)

agent = Agent(model)
result = await agent.run("What is the meaning of life?")
print(result)
```

For more details about using PydanticAI with Infron AI, see the [PydanticAI documentation](https://ai.pydantic.dev/models/#api_key-argument).


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://infronai.gitbook.io/docs/frameworks-and-integrations/pydanticai.md?ask=<question>&goal=<endgoal>
```

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