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01 · Hello Agent

The smallest possible end-to-end example: instantiate an Agent with one model config, call ask(), print the reply, then reuse the same Agent for a second turn. No tools, no harness primitives, no plugins — just the bare loop.

What it covers#

  • Building an Agent from a name, prompt, and ModelConfig.
  • Awaiting agent.ask(...) and reading reply.body.
  • Reusing the same Agent for a follow-up ask() call.

Primitives covered#

  • Agent
  • agent.ask() / reply.body
  • GeminiConfig (any ModelConfig works the same way)

Source#

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"""01 · Hello Agent

The smallest possible example: a bare ``Agent`` with a single LLM config and
one ``ask()`` call. No tools, no harness primitives, no plugins.

Run::

    .venv-beta/bin/python 01_hello_agent.py
"""

import asyncio

from autogen.beta import Agent
from autogen.beta.config import GeminiConfig

def section(title: str) -> None:
    print(f"\n── {title} ───")

async def main() -> None:
    config = GeminiConfig(model="gemini-3-flash-preview", temperature=0)

    section("Bare Agent — ask and print")

    agent = Agent(
        "greeter",
        prompt="You are a friendly but concise assistant. Reply in one sentence.",
        config=config,
    )

    reply = await agent.ask("Give me a single tip for learning to play chess.")
    print(reply.body)

    section("Reuse the Agent for another ask")

    reply2 = await agent.ask("And a tip for learning poker, in one sentence.")
    print(reply2.body)

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