We need a reliable architecture pattern for integrating large language models with Slack via Socket Mode while ensuring token usage stays within budget.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need a reliable architecture pattern for integrating large language models with Slack via Socket Mode while ensuring token usage stays within budget.
1 real search · 1 real-search pass
Slack Socket Mode acknowledgement 3 seconds event delivery retries official documentation; Slack Events API rate limits; OpenAI API token usage rate limits batching documentationGoogle ↗
OBSERVEDInstruction
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.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Slack Socket Mode acknowledgement 3 seconds event delivery retries official documentation; Slack Events API rate limits; OpenAI API token usage rate limits batching documentation Google ↗
- Slack's Socket Mode guide · docs.slack.dev
- The Events API · docs.slack.dev
- Comparing HTTP & Socket Mode · api.slack.com
- Rate limits · docs.slack.dev
- Rate limits · docs.slack.dev
Queries
1 queries · click a column to sort