Real ChatGPT answer · index seedh7Z8xmP95WEcompleteB2B software · AI and automation toolsinformational
What is the best practice for caching repetitive LLM queries in our B2B SaaS platform to reduce API costs and improve response times?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best practice for caching repetitive LLM queries in our B2B SaaS platform to reduce API costs and improve response times?
1 real search · 1 real-search pass
LLM caching best practices semantic cache tenant isolation Redis prompt caching official documentation OpenAI prompt cachingGoogle ↗
OBSERVEDComparison
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
LLM caching best practices semantic cache tenant isolation Redis prompt caching official documentation OpenAI prompt caching Google ↗
- Prompt caching · developers.openai.com
- API deployment checklist · developers.openai.com