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Agentic AIml~5 mins

AutoGen for conversational agents in Agentic AI

Choose your learning style9 modes available
Introduction
AutoGen helps build smart chat helpers that can talk and work together to answer questions or solve problems easily.
When you want a chatbot that can handle many questions by itself.
When you need multiple chat helpers to share tasks and improve answers.
When building a virtual assistant that can talk naturally and help with daily tasks.
When you want to create a team of AI agents that cooperate to solve complex problems.
When you want to speed up building conversational AI without coding everything from scratch.
Syntax
Agentic AI
from autogen import Assistant, User

user = User(name="User")
assistant = Assistant(name="Assistant")

response = assistant.chat("Hello! How can I help you today?")
print(response)
You create different agents like User and Assistant to simulate conversations.
The chat method lets agents send messages to each other.
Examples
A simple assistant answering a weather question.
Agentic AI
assistant = Assistant(name="HelperBot")
response = assistant.chat("What is the weather today?")
print(response)
User asks a question, assistant replies.
Agentic AI
user = User(name="Alice")
assistant = Assistant(name="HelperBot")

user_message = "Can you help me book a flight?"
response = assistant.chat(user_message)
print(response)
Two assistants talk to each other to solve a problem.
Agentic AI
from autogen import Assistant, User

user = User(name="User")
assistant1 = Assistant(name="Helper1")
assistant2 = Assistant(name="Helper2")

response1 = assistant1.chat("Hello, can you help with math?")
response2 = assistant2.chat(response1)
print(response2)
Sample Model
This program shows a simple chat where the user asks for a fun fact and the assistant replies.
Agentic AI
from autogen import Assistant, User

# Create user and assistant agents
user = User(name="User")
assistant = Assistant(name="Assistant")

# User sends a greeting
user_message = "Hi! Can you tell me a fun fact?"

# Assistant replies
assistant_response = assistant.chat(user_message)

print(f"User: {user_message}")
print(f"Assistant: {assistant_response}")
OutputSuccess
Important Notes
AutoGen lets you create multiple agents that can talk and work together.
You can customize agent names and roles to fit your needs.
Keep conversations simple at first to understand how agents interact.
Summary
AutoGen helps build chat helpers that talk and cooperate.
You create agents like User and Assistant to simulate conversations.
It is useful for building smart, multi-agent chatbots quickly.