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