Slack Research Workflow

Integrate a research and writing workflow with Slack for structured AI-powered content creation

Code

research_workflow.py

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.slack import Slack
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow

workflow_db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")

# Define agents for the workflow
researcher_agent = Agent(
    name="Research Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    role="Search the web and gather comprehensive research on the given topic",
    instructions=[
        "Search for the most recent and relevant information",
        "Focus on credible sources and key insights",
        "Summarize findings clearly and concisely",
    ],
)

writer_agent = Agent(
    name="Content Writer",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Create engaging content based on research findings",
    instructions=[
        "Write in a clear, engaging, and professional tone",
        "Structure content with proper headings and bullet points",
        "Include key insights from the research",
        "Keep content informative yet accessible",
    ],
)

# Create workflow steps
research_step = Step(
    name="Research Step",
    agent=researcher_agent,
)

writing_step = Step(
    name="Writing Step",
    agent=writer_agent,
)

# Create the workflow
content_workflow = Workflow(
    name="Content Creation Workflow",
    description="Research and create content on any topic via Slack",
    db=workflow_db,
    steps=[research_step, writing_step],
    session_id="slack_workflow_session",
)

# Create AgentOS with Slack interface for the workflow
agent_os = AgentOS(
    workflows=[content_workflow],
    interfaces=[Slack(workflow=content_workflow)],
)

app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="research_workflow: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=xoxb-your-bot-user-token
   export SLACK_SIGNING_SECRET=your-signing-secret
   export OPENAI_API_KEY=your_openai_api_key
   
3. Install dependencies

   uv pip install -U agno psycopg
   
4. Run Example

   python research_workflow.py