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integration-pydantic-ai (Pydantic AI Integration)
This example demonstrates how to evaluate PydanticAI agents using promptfoo. PydanticAI is a Python agent framework that provides structured outputs and type safety for AI applications.
You can run this example with:
npx promptfoo@latest init --example integration-pydantic-ai
cd integration-pydantic-ai
Quick Start
cd integration-pydantic-ai
pip install -r requirements.txt
export OPENAI_API_KEY=your_openai_api_key_here
npx promptfoo@latest eval
npx promptfoo@latest view
What This Shows
- Creating a PydanticAI agent with structured outputs
- Using promptfoo's Python provider to evaluate agents
- JSON schema validation with
is-jsonassertions - Multiple assertion types: JavaScript, Python, and LLM-rubric evaluations
- Evaluating agent tool usage
Example Structure
agent.py- Simple PydanticAI weather agent with structured outputprovider.py- Promptfoo Python provider that runs the agentpromptfooconfig.yaml- Evaluation configuration with diverse assertion typesrequirements.txt- Python dependencies