Real ChatGPT answer · index seedl0pRyv7w7ZEcompleteB2B software · AI and automation toolsinformational
How do we configure Slack bots to parse threaded conversations and summarize action items using asynchronous LLM API calls?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we configure Slack bots to parse threaded conversations and summarize action items using asynchronous LLM API calls?
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 Events API message.channels thread replies conversations.replies chat.postMessage acknowledgment 3 seconds official docs Google ↗
OpenAI Python async client Responses API structured outputs official documentation Google ↗
- Slack API Apps · api.slack.com
- conversations.replies method · docs.slack.dev
- Retrieving messages · docs.slack.dev
- conversations.replies method · api.slack.com
- The Events API · docs.slack.dev
- message event · docs.slack.dev
- OpenAI Python API library · developers.openai.com
- Structured model outputs · developers.openai.com
- chat.postMessage method · docs.slack.dev
- Slack chat.postMessage · docs.slack.dev
- OpenAI Structured Outputs · developers.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Slack Events API message.channels thread replies conversations.replies chat.postMessage acknowledgment 3 seconds official docs OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
OpenAI Python async client Responses API structured outputs official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |