Build Contextual Multi-Agent Systems in Python

import asyncio
from chatflow_agent import Agent, Runner, SQLiteSessionStore

# 1. Define a specialized conversational agent
support_agent = Agent(
    name="SupportAgent",
    instructions="You are a helpful customer support agent. Answer questions or delegate.",
    model="gemini-2.5-flash",
)

# 2. Initialize Runner with persistent SQLite session store
runner = Runner(
    starting_agent=support_agent,
    session_store=SQLiteSessionStore("chatflow_sessions.db"),
)

# 3. Process conversation turn asynchronously
async def main():
    response = await runner.run_async(
        session_id="user_session_42",
        user_message="Hello! How do I connect this agent to WhatsApp?",
    )
    print(response.content)

if __name__ == "__main__":
    asyncio.run(main())