Giving Models Hands: Mastering AI Tool Calling and Actions
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Giving Models Hands: Mastering AI Tool Calling and Actions
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In this episode, we explore how Large Language Models move beyond pure text responses by acquiring "hands"—the ability to interact with external APIs and execute code through Function Calling. We break down the exact contract between an LLM and a server, detailing how tools are declared using JSON Schemas, requested by the model, executed in server code, and synthesized back into natural language answers.
We also examine real-world tool implementation, including calculator functions and turning RAG semantic search into a callable tool that the AI can invoke when needed. Finally, we dive into key architecture and security patterns, covering dual endpoint routing (POST /query vs. POST /tools), setting bounded execution loops (MAX_TOOL_CALLS) to stop runaway billing cycles, and avoiding dangerous security vulnerabilities like unrestricted eval() tools.