Agentic AI Core Components: Tool Use & API - Part 1

This video goes beyond “how to call an API” and focuses on agent architecture: - What tool use really means in LLM systems - The separation between reasoning and execution - How structured tool calling works under the hood - Designing robust tool schemas - Building an orchestration loop for multi-step reasoning - Handling failures, retries, and observability We also explore a key challenge in agent systems: 👉 Grounding time and context (e.g. “next week”) 👉 Why models generate invalid tool arguments 👉 How to enforce reliability with validation and control loops ⚙️ What We Build A fully working agent using: - OpenAI tool calling - Tavily for web search - Open-Meteo for weather - SerpAPI for flights and hotels Notebook is available here: https://github.com/hussien824/Agentic-AI-Tutorials/blob/main/tool_using_agent_full_explained.ipynb