Engineering briefing: Slack + Workspace + Parallel Web
Synthesizes a briefing by chaining Slack, workspace, and Parallel web context providers, then posting the result back to Slack.
Three sources, one agent.
"""
Engineering briefing: Slack + Workspace + Parallel Web
======================================================
Three sources, one agent.
Slack what the team is talking about right now
Workspace what this repo already knows about it
Web fallback context when the repo has no clear match
The main agent does synthesis. Each provider owns its own mess.
Requires:
OPENAI_API_KEY
PARALLEL_API_KEY https://platform.parallel.ai/
SLACK_BOT_TOKEN scopes: channels:read, channels:history,
users:read, chat:write
pip install parallel-web
"""
from __future__ import annotations
import asyncio
from pathlib import Path
from agno.agent import Agent
from agno.context.slack import SlackContextProvider
from agno.context.web import ParallelBackend, WebContextProvider
from agno.context.workspace import WorkspaceContextProvider
from agno.models.openai import OpenAIResponses
PROJECT_ROOT = Path(__file__).resolve().parents[2]
# Sub-agents do source-specific tool work with a smaller model.
provider_model = OpenAIResponses(id="gpt-5.6-luna")
slack = SlackContextProvider(model=provider_model)
codebase = WorkspaceContextProvider(id="agno", root=PROJECT_ROOT, model=provider_model)
web = WebContextProvider(backend=ParallelBackend(), model=provider_model)
agent = Agent(
model=OpenAIResponses(id="gpt-5.4"),
tools=[*slack.get_tools(), *codebase.get_tools(), *web.get_tools()],
markdown=True,
)
if __name__ == "__main__":
print(f"slack = {slack.status()}")
print(f"codebase = {codebase.status()}")
print(f"web = {web.status()}\n")
prompt = (
"First call query_slack to read the 10 most recent messages from #agents and pick "
"2 active topics. Do not call query_agno until query_slack returns those topics. "
"For each topic, then call query_agno to look for local codebase context. Only call "
"query_web when query_agno has no clear local match for that topic; use web search "
"to fill the missing context and say the local match was not found. Write a "
"Slack-friendly numbered list, not a markdown table. For each topic include: Topic, "
"Slack signal, Codebase context, External fallback if used, Sync question. Then post "
"the list in #test-agents."
)
print(f"> {prompt}\n")
asyncio.run(agent.aprint_response(prompt))Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U "agno[slack]" openai parallel-webExport environment variables
export OPENAI_API_KEY="your_openai_api_key_here"
export PARALLEL_API_KEY="your_parallel_api_key_here"
export SLACK_BOT_TOKEN="your_slack_bot_token_here"Clone Agno
Clone the pinned Agno source and run the remaining commands from its root:
git clone https://github.com/agno-agi/agno.git
cd agno
git checkout v3.0.4Prepare Slack channels
Create public channels named #agents and #test-agents, then invite the Slack app to both. Update the hardcoded channel names in the prompt if you use different channels. See chat.postMessage channel membership.
Run the example
Run the example from the repository root:
python cookbook/12_context/12_engineering_briefing.pyFull source: cookbook/12_context/12_engineering_briefing.py