E04 -AI Agents(Function Calling)

A complete series teaching you to build AI agents from absolute zero — even if you've never made an API call in your life. We cover the modern OpenAI Responses API, function calling, MCP (Model Context Protocol), and A2A (Agent-to-Agent) — the three protocols every agent developer needs to know in 2026. 🔗 All code is open source: [GitHub link — add yours] ☕ Support the series: [optional — add later] 📚 What you'll learn: ✓ Make your first OpenAI API call ✓ Function calling (the foundation of agents) ✓ Structured outputs ✓ Build a working agent from scratch (no frameworks) ✓ MCP servers from zero ✓ Agent-to-agent communication with A2A ✓ Putting it all together: a multi-protocol agent 🎯 Who this is for: Developers new to LLM APIs Engineers who keep hearing "MCP" and "agents" and want to actually understand them Anyone who wants real, working code instead of theory 📺 Series episodes: 00:00 Intro [Update timestamps as you publish:] Ep 1 — Your First OpenAI API Call →    • E01 -AI Agents   Ep 2 — Messages, Roles, Conversation →   • E02  -AI Agents (Messages, Roles, and Conv...   Ep 3 — Chat Completions vs Responses API →    • E03 — AI Agents(Chat Completions vs Respon...   Ep 4 — Function Calling: The Foundation → [link] Ep 5 — Structured Outputs → [link] Ep 6 — The Agent Loop → [link] Ep 7 — What is MCP? → [link] Ep 8 — Build Your First MCP Server → [link] Ep 9 — Connect MCP to OpenAI → [link] Ep 10 — Remote MCP & Production → [link] Ep 11 — Agent-to-Agent (A2A) → [link] Ep 12 — Capstone: Multi-Protocol Agent → [link] 🛠️ Tools used in the series: Python 3.11+ OpenAI SDK (Responses API) MCP Python SDK A2A Python SDK 💬 Got questions? Drop them in the comments — I read every one. 🔔 Subscribe so you don't miss the next 11 episodes. #AIagents #OpenAI #MCP #A2A #LLM #Python #Tutorial #LearnToCode