Open In Colab Open on GitHub This notebook explains how to set up a group chat where each agent has unique capabilities and is equipped with specialized tools to perform specific tasks.

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Installation

pip install -U ag2[openai]
Note: If you have been using autogen or ag2, all you need to do is upgrade it using: 
pip install -U autogen[openai]
or 
pip install -U ag2[openai]
as autogen, and ag2 are aliases for the same PyPI package.

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Imports

import random

from autogen import (
    ConversableAgent,
    GroupChat,
    GroupChatManager,
    LLMConfig,
    UserProxyAgent,
    register_function,
)

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Agent Configuration

The GroupChat will contain three agents: - sales_agent - Responsible for selling tickets. - cancellation_agent - Handles ticket cancellations. - user_proxy - Acts as an intermediary between the user and other agents. 
llm_config = LLMConfig.from_json(path="OAI_CONFIG_LIST").where(model=["gpt-4o-mini"])

sales_agent = ConversableAgent(
    name="SalesAgent",
    llm_config=llm_config,
)

cancellation_agent = ConversableAgent(
    name="CanelationAgent",
    llm_config=llm_config,
)

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

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Tools Registration

In AG2, tool usage follows two steps: - An agent suggests a tool to use (via its LLM). - Another agent executes the tool. We will define two tools: - buy_airplane_ticket: Suggested by sales_agent and executed by user_proxy after user verification. - cancel_airplane_ticket: Suggested by cancellation_agent and executed by user_proxy after user verification. 
def buy_airplane_ticket(from_location: str, to_location: str, date: str) -> str:
    ticket_number = random.randint(1000, 9999)
    return f"""Your ticket from {from_location} to {to_location} on {date} has been booked.
Your ticket number is {ticket_number}.
Please keep this number for future reference.
"""


register_function(
    buy_airplane_ticket,
    caller=sales_agent,
    executor=user_proxy,
    description="Buy an airplane ticket",
)


def cancel_airplane_ticket(ticket_number: str) -> str:
    return f"Your ticket with ticket number {ticket_number} has been canceled"


register_function(
    cancel_airplane_ticket,
    caller=cancellation_agent,
    executor=user_proxy,
    description="Cancel an airplane ticket",
)

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Creating and Initiating the Group Chat

Now, let’s create and start the GroupChat with the three agents. 
groupchat = GroupChat(
    agents=[user_proxy, cancellation_agent, sales_agent],
    speaker_selection_method="auto",
    messages=[],
)

manager = GroupChatManager(
    name="group_manager",
    groupchat=groupchat,
    llm_config=llm_config,
)


user_proxy.initiate_chat(
    recipient=manager,
    message="I need to buy a plane ticket from New York to Los Angeles on 12th of April 2025",
)
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