Function Calling — Free AI Agents Tutorial
Learn Function Calling in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Function Calling in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Function Calling in AI Agents
Function calling is how LLM-based agents invoke external functions. The agent describes what it wants to do, and the system translates that into function calls. For example, an agent might "think" "I need to fetch the student's exam scores," and the system calls fetch_scores(student_id).
Modern LLM APIs support structured function calling. You define available functions with descriptions and parameters. The LLM outputs structured data indicating which function to call and with what arguments. This is safer and more reliable than parsing natural language.
In an agent framework like LangChain or Anthropic's tools, you define functions, and the agent learns to use them through examples and feedback. An agent tutoring 12th-grade physics might have functions: explain_concept, solve_problem, generate_practice, create_quiz.
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