Github Repository for Reflexion Agent

Development Timeline

This github project follows the structure of this section's lectures, demonstrating key concepts in building a Reflexion Agent:

1. Add initial project structure - Corresponds to Project Setup

   • Set up the foundation with project configuration files (.gitignore, main.py, pyproject.toml, poetry.lock)

2. Create chains for AI-powered research functionality - Corresponds to Actor Agent

   • Implemented the first component of our agent architecture - the Actor

   • Added chains.py with prompt templates for generating detailed answers

   • Created schemas.py with Pydantic models for structured data handling

3. Enhance chains for answer revision capabilities - Corresponds to Revisor Agent

   • Implemented the second component - the Revisor for self-reflection

   • Added ReviseAnswer class to schemas.py for improved response structure

   • Updated chain prompts to incorporate critique and citation requirements

4. Add dependencies and tools for graph nodes - Corresponds to ToolNode - Executing Tools

   • Integrated search functionality to enhance response accuracy

   • Added required dependencies for the complete graph workflow

5. Implement the complete message graph - Corresponds to Building our LangGraph Graph

   • Connected Actor and Revisor agents in a complete LangGraph workflow

   • Defined graph nodes for drafting, tool execution, and revision

   • Established state management and conditional edge routing for reflection