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Learn how to build an AI agent from scratch in Python with this beginner-friendly tutorial. Follow a comprehensive step-by-step guide covering everything from basic setup to advanced functionality. Discover how to work with popular frameworks like LangChain, integrate various LLMs including Claude and GPT, provide your agent access to different tools, and structure outputs for practical code implementation. The tutorial includes a demonstration of the finished agent, setup requirements, code configuration, API key acquisition, basic LLM functionality, structured output modeling, prompt templates, agent creation and execution, output parsing, integration of prebuilt tools, and implementation of custom tool calling. All code resources are available on GitHub, with additional links for learning Python virtual environments and obtaining necessary API keys.
