langfuse-pydantic-ai 0.0.2

langfuse-pydantic-ai

langfuse_pydantic_ai

This is a third-party package, not officially maintained by Langfuse. If Langfuse requires for this package, feel free to contact me.

⚠️ This package is experimental and not fully tested. Use at your own risk.

A simple wrapper, send trace to langfuse when using pydantic-ai

Install

pip install langfuse-pydantic-ai

Usage

TL;DR

from langfuse_pydantic_ai import observed_agent

agent = observed_agent(agent)

Full example:

import asyncio

from pydantic_ai.agent import Agent
from langfuse.decorators import observe
from langfuse_pydantic_ai import observed_agent

@observe # Add this decorator to span a trace
async def main():
    agent = Agent(
        "google-gla:gemini-1.5-flash",
        # Register a static system prompt using a keyword argument to the agent.
        # For more complex dynamically-generated system prompts, see the example below.
        system_prompt="Be concise, reply with one sentence.",
    )
    agent = observed_agent(agent)
    result = await agent.run('Where does "hello world" come from?')
    print(result.data)


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

If using custom model, use observed_model instead

from pydantic_ai.agent import Agent
from langfuse_pydantic_ai import observed_model

model = observed_model(model)
agent = Agent(model=model)

Configuration via environment variables:

LANGFUSE_HOST=<langfuse_host>
LANGFUSE_PUBLIC_KEY=<langfuse_public_key>
LANGFUSE_SECRET_KEY=<langfuse_secret_key>

Develop

Install pre-commit before commit

pip install pre-commit
pre-commit install

Install package locally

pip install -e .[test]

Run unit-test before PR

pytest -v