Channel Summarizer

SlackTools-powered agent that reads channel history and produces structured summaries

Code

channel_summarizer.py

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

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

summarizer = Agent(
    name="Channel Summarizer",
    model=OpenAIChat(id="gpt-4o"),
    db=agent_db,
    tools=[
        SlackTools(
            enable_get_thread=True,
            enable_search_messages=True,
            enable_list_users=True,
        )
    ],
    instructions=[
        "You summarize Slack channel activity.",
        "Your context includes the Slack channel_id and thread_ts you are responding in.",
        "When asked to summarize 'this channel', use the channel_id from your context.",
        "When asked about a channel:",
        "1. Use get_channel_history with the channel_id to fetch recent messages",
        "2. Look for messages with thread_ts and reply_count > 0 — these have threaded replies",
        "3. Use get_thread with the channel_id and thread_ts to expand important threads",
        "4. Group messages by topic/theme",
        "5. Highlight decisions, action items, and blockers",
        "Format summaries with clear sections:",
        "- Key Discussions (include expanded thread context)",
        "- Decisions Made",
        "- Action Items",
        "- Questions/Blockers",
        "Use bullet points and keep summaries concise.",
    ],
    # Session history enables follow-up questions in the same Slack thread
    add_history_to_context=True,
    num_history_runs=5,
    add_datetime_to_context=True,
    markdown=True,
)

agent_os = AgentOS(
    agents=[summarizer],
    interfaces=[
        Slack(
            agent=summarizer,
            reply_to_mentions_only=True,
        )
    ],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="channel_summarizer:app", reload=True)

Usage

1. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Set Environment Variables

   export SLACK_TOKEN=***
   export SLACK_SIGNING_SECRET=***
   export OPENAI_API_KEY=***
   
3. Install Dependencies

   uv pip install 'agno[slack]'
   
4. Run Example

   python channel_summarizer.py
   

Key Features

• SlackTools Integration: Reads channel history, threads, and user info via the Slack API
• Structured Summaries: Groups messages by topic with sections for decisions, action items, and blockers
• Follow-Up Questions: Session history enables contextual follow-ups in the same Slack thread