Skill

Agent Development in Practice: Tool Calling, Multi-Agent Systems, and Frameworks

LLM API Basics: Chat Completions and Message Roles → Build a Multi-Agent Application with Tool Calling

Build practical LLM agents that use tools and coordinate with other agents. Covers tool/function calling, agent loops, multi-agent patterns, and framework-based implementation.

Path Map

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Path Steps

14 steps · 3 stages. Click any step to inspect it and see it on the Path Map.

Stage 1

Foundation

5 steps

Stage 2

Core Concepts

5 steps

Stage 3

Advanced Topics

4 steps

Resources (4)

Curated materials referenced by this learning path.

OpenAI Function Calling Guide
Link
Official documentation on defining tools and handling tool calls with the OpenAI API.
Open resource →
LangGraph Documentation
Link
Guides and tutorials for building stateful, multi-actor agent applications with LangGraph.
Open resource →
AutoGen Documentation
Link
Documentation for Microsoft's framework for multi-agent conversations and tool use.
Open resource →
Building Effective Agents
Link
Anthropic's engineering guide on agent design patterns, tool use, and when to use multi-agent systems.
Open resource →

Path Map

Path Steps

Foundation

Core Concepts

Advanced Topics

Resources (4)

OpenAI Function Calling Guide

LangGraph Documentation

AutoGen Documentation

Building Effective Agents