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Experiments

Bolt for Python includes experimental features still under active development. These features may be fleeting, may not be perfectly polished, and should be thought of as available for use "at your own risk."

Experimental features are categorized as semver:patch until the experimental status is removed.

We love feedback from our community, so we encourage you to explore and interact with the GitHub repo. Contributions, bug reports, and any feedback are all helpful; let us nurture the Slack CLI together to help make building Slack apps more pleasant for everyone.

Available experiments​

Agent listener argument​

The agent: BoltAgent listener argument provides access to AI agent-related features.

The BoltAgent and AsyncBoltAgent classes offer a chat_stream() method that comes pre-configured with event context defaults: channel_id, thread_ts, team_id, and user_id fields.

The listener argument is wired into the Bolt kwargs injection system, so listeners can declare it as a parameter or access it via the context.agent property.

Example​

from slack_bolt import BoltAgent

@app.event("app_mention")
def handle_mention(agent: BoltAgent):
    stream = agent.chat_stream()
    stream.append(markdown_text="Hello!")
    stream.stop()

Limitations​

The chat_stream() method currently only works when the thread_ts field is available in the event context (DMs and threaded replies). Top-level channel messages do not have a thread_ts field, and the ts field is not yet provided to BoltAgent.