Serve a Research Team over AG-UI
Mount an AgentOS Team on AG-UI so member tool calls and the coordinated final answer share one protocol event stream.
"""
Serve a Research Team over AG-UI
================================
Mount an AgentOS Team on AG-UI so member tool calls and the coordinated final
answer share one protocol event stream.
Prerequisites: OPENAI_API_KEY and internet access
Run: .venvs/demo/bin/python cookbook/05_agent_os/16_agui/research_team.py
Try: Request a sourced technology brief at http://localhost:7777/research-team/agui
"""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
from agno.team import Team
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Research Team
# ---------------------------------------------------------------------------
db = SqliteDb(
id="agui-research-team-db",
db_file="tmp/agui_research_team.db",
)
researcher = Agent(
id="agui-researcher",
name="Researcher",
role="Find current, relevant source material.",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
tools=[WebSearchTools()],
instructions="Search the web, prefer primary sources, and return concise findings with URLs.",
)
writer = Agent(
id="agui-writer",
name="Writer",
role="Turn research into a short, readable brief.",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
instructions="Synthesize supplied research without inventing unsupported facts.",
)
research_team = Team(
id="agui-research-team",
name="AG-UI Research Team",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
members=[researcher, writer],
instructions=[
"Delegate research to the Researcher and synthesis to the Writer.",
"Return a concise brief with source links.",
],
show_members_responses=True,
)
agent_os = AgentOS(
id="agui-research-team-os",
description="A coordinated research Team served through AG-UI.",
teams=[research_team],
interfaces=[AGUI(team=research_team, prefix="/research-team")],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Research Team Server
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent_os.serve(app=app)Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U "agno[agui,os]" ddgs openaiExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as research_team.py, then run:
python research_team.pySend a request
With the server running in another terminal:
Save this complete AG-UI request as agui-input.json. Replace content with the prompt for this example. Use a fresh runId for each run; keep threadId only when continuing the same session.
{
"threadId": "example-thread-1",
"runId": "example-run-1",
"state": {},
"messages": [
{"id": "example-message-1", "role": "user", "content": "Hello"}
],
"tools": [],
"context": [],
"forwardedProps": {}
}The endpoint accepts this object, rather than a JSON string or the REST run endpoint's message form field. The response is an SSE stream whose data values are AG-UI event objects. Inspect RUN_ERROR and RUN_FINISHED events; an HTTP 200 only establishes that the stream opened.
curl --no-buffer -H "Content-Type: application/json" --data-binary @agui-input.json http://localhost:7777/research-team/aguiFull source: cookbook/05_agent_os/16_agui/research_team.py