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55 lines
2.3 KiB
Markdown
55 lines
2.3 KiB
Markdown
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# Execute Pydantic AI Agent PRP
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Implement a Pydantic AI agent using the PRP file.
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## PRP File: $ARGUMENTS
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## Execution Process
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1. **Load PRP**
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- Read the specified Pydantic AI PRP file
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- Understand all agent requirements and research findings
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- Follow all instructions in the PRP and extend research if needed
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- Review main_agent_reference patterns for implementation guidance
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- Do more web searches and Pydantic AI documentation review as needed
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2. **ULTRATHINK**
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- Think hard before executing the agent implementation plan
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- Break down agent development into smaller steps using your todos tools
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- Use the TodoWrite tool to create and track your agent implementation plan
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- Follow main_agent_reference patterns for configuration and structure
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- Plan agent.py, tools.py, dependencies.py, and testing approach
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3. **Execute the plan**
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- Implement the Pydantic AI agent following the PRP
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- Create agent with environment-based configuration (settings.py, providers.py)
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- Use string output by default (no result_type unless structured output needed)
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- Implement tools with @agent.tool decorators and proper error handling
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- Add comprehensive testing with TestModel and FunctionModel
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4. **Validate**
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- Test agent import and instantiation
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- Run TestModel validation for rapid development testing
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- Test tool registration and functionality
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- Run pytest test suite if created
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- Verify agent follows main_agent_reference patterns
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5. **Complete**
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- Ensure all PRP checklist items done
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- Test agent with example queries
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- Verify security patterns (environment variables, error handling)
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- Report completion status
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- Read the PRP again to ensure complete implementation
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6. **Reference the PRP**
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- You can always reference the PRP again if needed
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## Pydantic AI-Specific Patterns to Follow
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- **Configuration**: Use environment-based setup like main_agent_reference
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- **Output**: Default to string output, only use result_type when validation needed
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- **Tools**: Use @agent.tool with RunContext for dependency injection
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- **Testing**: Include TestModel validation for development
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- **Security**: Environment variables for API keys, proper error handling
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Note: If validation fails, use error patterns in PRP to fix and retry. Follow main_agent_reference for proven Pydantic AI implementation patterns.
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