"""
Serve an Agent in Slack
=======================
Mount one persistent Agent on the Slack interface. Direct messages are always
answered; reply_to_mentions_only only filters non-mention messages in channels.
Prerequisites: SLACK_TOKEN, SLACK_SIGNING_SECRET, OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/17_slack/basic.py
Try in Slack: In one thread, say "My project is Cedar", then ask what the project is
Slack scopes: app_mentions:read, assistant:write, chat:write, im:history
"""
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.slack import Slack
# ---------------------------------------------------------------------------
# Create Slack AgentOS
# ---------------------------------------------------------------------------
db = SqliteDb(
id="slack-basic-db",
db_file="tmp/slack_basic.db",
)
assistant = Agent(
id="slack-assistant",
name="Slack Assistant",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
instructions=[
"You are a helpful assistant in Slack.",
"Keep answers concise and easy to scan.",
],
add_history_to_context=True,
num_history_runs=3,
markdown=True,
)
agent_os = AgentOS(
id="slack-basic-os",
description="AgentOS serving one persistent Slack assistant.",
agents=[assistant],
interfaces=[
Slack(
agent=assistant,
reply_to_mentions_only=True,
)
],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Slack AgentOS
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent_os.serve(app=app)
