Basic Slack Agent

"""
Basic Slack Agent
=================

Minimal Slack bot that responds only when mentioned in a channel.
Uses SQLite for session persistence so the agent remembers conversation
history across restarts.

Key concepts:
  - ``reply_to_mentions_only=True`` ignores DMs and only responds to @mentions.
  - ``add_history_to_context=True`` feeds the last N runs back into the prompt.

Slack scopes: app_mentions:read, assistant:write, chat:write, im:history
"""

from agno.agent import Agent
from agno.db.sqlite.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os.app import AgentOS
from agno.os.interfaces.slack import Slack

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------

agent_db = SqliteDb(session_table="agent_sessions", db_file="tmp/persistent_memory.db")

basic_agent = Agent(
    name="Basic Agent",
    model=OpenAIChat(id="gpt-4o"),
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
)

# Setup our AgentOS app
agent_os = AgentOS(
    agents=[basic_agent],
    interfaces=[
        Slack(
            agent=basic_agent,
            reply_to_mentions_only=True,  # The Agent will react only to messages mentioning it
        )
    ],
)
app = agent_os.get_app()


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    """Run your AgentOS.

    You can see the configuration and available apps at:
    http://localhost:7777/config

    """
    agent_os.serve(app="basic:app", reload=True)