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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

1

Create a Python file

remote_team.py
import asyncio

from agno.team import RemoteTeam


async def remote_team_example():
    """Call a remote team hosted on another AgentOS instance."""
    team = RemoteTeam(
        base_url="http://localhost:7777",
        team_id="research-team",
    )

    response = await team.arun(
        "What is the capital of France?",
        user_id="user-123",
        session_id="session-456",
    )
    print(response.content)


async def remote_streaming_example():
    """Stream responses from a remote team."""
    team = RemoteTeam(
        base_url="http://localhost:7777",
        team_id="research-team",
    )

    async for chunk in team.arun(
        "Tell me about Python programming",
        session_id="session-456",
        user_id="user-123",
        stream=True,
    ):
        if hasattr(chunk, "content") and chunk.content:
            print(chunk.content, end="", flush=True)


if __name__ == "__main__":
    print("=" * 60)
    print("RemoteTeam Examples")
    print("=" * 60)

    print("\n1. Remote Team Example:")
    asyncio.run(remote_team_example())

    print("\n\n2. Remote Streaming Example:")
    asyncio.run(remote_streaming_example())
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Start an AgentOS Server

Make sure you have an AgentOS server running with a team that has id="research-team". See Creating Your First OS for setup instructions.
6

Run the Client

python remote_team.py