"""
Example demonstrating how to use RemoteAgent as a Team member.
This shows how to include agents from another AgentOS server as members
in a local Team, enabling cross-service agent orchestration.
Prerequisites:
1. Start the server:
python cookbook/05_agent_os/remote/server.py
The server will run on http://localhost:7778
2. Set your OPENAI_API_KEY environment variable
"""
import asyncio
from agno.agent import Agent, RemoteAgent
from agno.models.openai import OpenAIResponses
from agno.team import Team
# ---------------------------------------------------------------------------
# Create Local Member
# ---------------------------------------------------------------------------
local_summarizer = Agent(
name="Summarizer",
role="You synthesize information into clear, concise summaries.",
model=OpenAIResponses(id="gpt-5-mini"),
)
# ---------------------------------------------------------------------------
# Create Remote Members
# ---------------------------------------------------------------------------
remote_assistant = RemoteAgent(
base_url="http://localhost:7778",
agent_id="assistant-agent",
)
remote_researcher = RemoteAgent(
base_url="http://localhost:7778",
agent_id="researcher-agent",
)
# ---------------------------------------------------------------------------
# Create Team with Local + Remote Members
# ---------------------------------------------------------------------------
hybrid_team = Team(
name="Hybrid Research Team",
model=OpenAIResponses(id="gpt-5-mini"),
members=[
local_summarizer,
remote_assistant,
remote_researcher,
],
instructions=[
"You lead a hybrid team with local and remote agents.",
"Delegate math questions to the remote Assistant.",
"Delegate research questions to the remote Researcher.",
"Use the local Summarizer for final synthesis.",
],
markdown=True,
show_members_responses=True,
)
# ---------------------------------------------------------------------------
# Run
# ---------------------------------------------------------------------------
if __name__ == "__main__":
asyncio.run(
hybrid_team.aprint_response(
"Calculate 15 * 23, then summarize what multiplication is.",
stream=True,
)
)
