# 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: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

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

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.