advanced~5h
ReAct Implementation From Scratch (Manual + Automated)
Build a ReAct-style agent in pure Python with zero frameworks — a minimal Agent class, a structured Thought/PAUSE/Action/PAUSE/Observation/Answer system prompt, a manual step-by-step walkthrough, and a fully automated agent_loop() controller.
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▶📚 Prerequisites(1)
🎓 Learning objectives
- •Implement a minimal conversational Agent class that tracks full message history
- •Design a ReAct system prompt using the Thought/PAUSE/Action/PAUSE/Observation/Answer protocol
- •Manually trace a multi-step ReAct reasoning loop to understand exactly how thought, action, and observation interleave
- •Build an automated agent_loop() controller that parses actions via regex and dispatches to tools without human intervention
- •Identify the brittleness of regex-based action parsing and know the production-grade alternatives
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