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Build AI Agents That Use Tools 🤖 | AutoGen register_function Explained

By Nidhi ChouhanApril 23, 2026youtube

This tutorial explains how to build AI agents using AutoGen's register_function feature, enabling agents to use external tools and functions. The course covers practical implementation of tool-calling capabilities, allowing agents to extend their functionality beyond language model limitations. The GitHub repository provides complete code examples for building production-ready AI agents with integrated tool support.

Key Points

•Use AutoGen's register_function to bind external tools and functions to AI agents
•Enable agents to autonomously decide when and how to call registered functions
•Implement tool-calling workflows where agents can execute code, APIs, or custom logic
•Register multiple functions to create agents with diverse capabilities
•Handle function return values and integrate results back into agent reasoning
•Build agents that can interact with external systems, databases, or APIs
•Test and validate agent tool usage through conversation flows
•Structure functions with clear parameters and return types for agent compatibility
•Chain multiple tool calls to solve complex multi-step problems
•Monitor and debug agent tool selection and execution

Found this useful? Add it to a playbook for a step-by-step implementation guide.

Workflow Diagram

Start Process

Step A

Step B

Step C

Complete

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Concepts

Skills & Tools Agent Teams Tool Use

Artifacts (2)

AutoGen Agent with Tool Registrationpythonscript

from autogen import AssistantAgent, UserProxyAgent

# Define a tool function
def calculate_sum(a: int, b: int) -> int:
    """Add two numbers together"""
    return a + b

# Create assistant agent
assistant = AssistantAgent(
    name="calculator_agent",
    llm_config={"model": "gpt-4", "api_key": "your-api-key"}
)

# Register the function
assistant.register_function(
    function_map={
        "calculate_sum": calculate_sum
    }
)

# Create user proxy
user_proxy = UserProxyAgent(
    name="user",
    human_input_mode="NEVER"
)

# Start conversation
user_proxy.initiate_chat(
    assistant,
    message="What is 5 plus 3?"
)

Multi-Tool Agent Configurationjsonconfig

{
  "agent_config": {
    "name": "multi_tool_agent",
    "model": "gpt-4",
    "temperature": 0.7,
    "tools": [
      {
        "name": "web_search",
        "description": "Search the web for information",
        "parameters": {
          "query": "string"
        }
      },
      {
        "name": "database_query",
        "description": "Query internal database",
        "parameters": {
          "table": "string",
          "filter": "string"
        }
      },
      {
        "name": "send_email",
        "description": "Send email notification",
        "parameters": {
          "to": "string",
          "subject": "string",
          "body": "string"
        }
      }
    ]
  }
}