Step by step guide to handling threaded conversations in a Slack bot that uses streaming LLM responses without freezing up
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Step by step guide to handling threaded conversations in a Slack bot that uses streaming LLM responses without freezing up
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Slack API official documentation message streaming chat.startStream chat.appendStream chat.stopStream Google ↗
Slack Events API acknowledge within 3 seconds retries official documentation Google ↗
- The Events API · docs.slack.dev
- chat.startStream method · docs.slack.dev
- chat.appendStream method · docs.slack.dev
- chat.stopStream method · docs.slack.dev
- slack_sdk API documentation · docs.slack.dev
- slack_sdk.web API documentation · docs.slack.dev
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Slack API official documentation message streaming chat.startStream chat.appendStream chat.stopStream OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Slack Events API acknowledge within 3 seconds retries official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |