SUMMARY AI summary by gpt-5-mini
Hello Agents is a Python teaching repo that walks through classic AI agent paradigms from rule-based ELIZA to modern LLM-driven patterns (ReAct, Plan-and-Solve, Reflection). It’s intended for learners and practitioners who want hands-on, chapter-by-chapter examples showing the evolution of agents and how to build them. Key features: - Organized chapters: ELIZA (zero deps), LLM fundamentals, a travel assistant (Thought-Action-Observation), ReAct and planning, reflection, and low-code platforms (Dify, n8n). - Centralized LLM client management (llm_clients.py) with support examples for OpenAI-compatible chat, LangChain, and AutoGen; reads credentials from a root .env. - Quickstart instructions, dependency notes, and guidance on importing from subdirectories. - Educational code (not production hardened) and dependency/API caveats.
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Dates
| Created on GitHub | 2026-05-13 |
| Last push | 2026-05-14 |
| First seen here | 2026-05-13 |
| Last fetched | 2026-05-14 16:14 |
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