Demystifying AI Agents with Python Code
summary
Concrete Python code builds an agent as an LLM plus memory, planning, tools and a while loop: it uses the OpenAI Python SDK, calls a web search via the serper API with requests, and shows that a search-only agent exhausts but adding a fetch-URL tool returns a complete speakers list. A small multi-agent example runs promoter/critic roles and a creator/verifier pattern. The CrewAI framework (CrewAI) drops most boilerplate and the notebooked demos execute end-to-end.
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chapters (8)
- 0:00Introduction
- 5:21AI agents in Python
- 8:50Memory in AI agents
- 11:00Tools and planning
- 19:31Tool integration
- 23:26CrewAI implementation
- 26:20Multi-agent systems
- 27:44Real-world tips
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