streaming_ux.py
"""
Configure Slack Streaming UX
=============================
Show a streaming response with rotating loading messages, dynamic suggested
prompts, and plan-mode task cards for tool calls.
Prerequisites: SLACK_TOKEN, SLACK_SIGNING_SECRET, OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/17_slack/streaming_ux.py
Try in Slack: Ask "What changed in Python packaging this year? Cite sources."
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
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Streaming Slack AgentOS
# ---------------------------------------------------------------------------
db = SqliteDb(
id="slack-streaming-db",
db_file="tmp/slack_streaming.db",
)
researcher = Agent(
id="slack-streaming-researcher",
name="Slack Streaming Researcher",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
tools=[WebSearchTools()],
instructions=[
"Research current questions with web search.",
"Use more than one source when the answer benefits from comparison.",
"Return a concise synthesis with source links.",
],
add_history_to_context=True,
num_history_runs=3,
markdown=True,
)
agent_os = AgentOS(
id="slack-streaming-os",
description="AgentOS demonstrating Slack streaming presentation controls.",
agents=[researcher],
interfaces=[
Slack(
agent=researcher,
streaming=True,
task_display_mode="plan",
loading_text="Researching...",
loading_messages=[
"Searching current sources...",
"Comparing the evidence...",
"Preparing a concise answer...",
],
suggested_prompts=[
{
"title": "Technology brief",
"message": "Summarize today's most important AI infrastructure news.",
},
{
"title": "Compare approaches",
"message": "Compare two current approaches to Python dependency management.",
},
],
)
],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Streaming Slack AgentOS
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent_os.serve(app=app)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U "agno[os,slack]" ddgs openai
3
Export environment variables
export OPENAI_API_KEY="your_openai_api_key_here"
export SLACK_SIGNING_SECRET="your_slack_signing_secret_here"
export SLACK_TOKEN="your_slack_token_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
$Env:SLACK_SIGNING_SECRET="your_slack_signing_secret_here"
$Env:SLACK_TOKEN="your_slack_token_here"
4
Run the example
Save the code above as
streaming_ux.py, then run:python streaming_ux.py