context-engineering-intro/use-cases/pydantic-ai/PRPs/INITIAL.md

FEATURE:

Build a simple customer support chatbot using PydanticAI that can answer basic questions and escalate complex issues to human agents.

EXAMPLES:

• Basic chat agent with conversation memory
• Tool-enabled agent with web search capabilities
• Structured output agent for data validation
• Testing examples with TestModel and FunctionModel

DOCUMENTATION:

• PydanticAI Official Documentation: https://ai.pydantic.dev/
• Agent Creation Guide: https://ai.pydantic.dev/agents/
• Tool Integration: https://ai.pydantic.dev/tools/
• Testing Patterns: https://ai.pydantic.dev/testing/
• Model Providers: https://ai.pydantic.dev/models/

OTHER CONSIDERATIONS:

• Use environment variables for API key configuration instead of hardcoded model strings
• Keep agents simple - default to string output unless structured output is specifically needed
• Follow the main_agent_reference patterns for configuration and providers
• Always include comprehensive testing with TestModel for development