videointermediate

I Built an AI That Searches the Web 🤯 | AutoGen Tool Calling (Python + Groq)

By Nidhi ChouhanApril 24, 2026youtube

This tutorial demonstrates how to build an AI agent using AutoGen and Groq that can search the web and answer user queries. The project leverages tool calling capabilities to enable the agent to perform web searches dynamically. The implementation uses Python and integrates with Groq's language model for efficient processing. The complete code is available on GitHub for reference and further development.

Key Points

•AutoGen framework enables multi-agent systems with tool calling capabilities for dynamic web searches
•Groq API provides fast language model inference for real-time agent responses
•Tool calling allows agents to invoke external functions (web search) based on user queries
•Python implementation simplifies agent development with clear abstractions and libraries
•Web search integration enables agents to access current information beyond training data
•Agent architecture separates concerns: user interaction, tool invocation, and response generation
•GitHub repository provides complete source code for reproducible AI agent development
•Tool calling reduces hallucination by grounding responses in actual search results

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Step C

Complete

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Artifacts (2)

AutoGen Web Search Agentpythonscript

# AutoGen Agent with Web Search Tool Calling
# Requires: pip install pyautogen groq

from autogen import AssistantAgent, UserProxyAgent
import requests

def web_search(query: str) -> str:
    """Search the web and return results"""
    # Implementation using search API
    pass

# Define tools for the agent
tools = [
    {
        "type": "function",
        "function": {
            "name": "web_search",
            "description": "Search the web for information",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {"type": "string", "description": "Search query"}
                },
                "required": ["query"]
            }
        }
    }
]

# Create agents
assistant = AssistantAgent(
    name="WebSearchAgent",
    llm_config={"model": "groq", "api_key": "your_groq_api_key"},
    tools=tools
)

user_proxy = UserProxyAgent(
    name="User",
    human_input_mode="ALWAYS"
)

# Start conversation
user_proxy.initiate_chat(assistant, message="Search for latest AI news")

Groq Configurationenvconfig

# Groq API Configuration
GROQ_API_KEY=your_api_key_here
GROQ_MODEL=mixtral-8x7b-32768

# AutoGen Configuration
AUTOGEN_TIMEOUT=30
WEB_SEARCH_TIMEOUT=10
MAX_RETRIES=3