Real ChatGPT answer · index seedFbsxBQuLOUEcompleteB2B software · AI and automation toolsinformational
What strategies work best for compressing prompt history before sending data to an LLM to strictly control our API spending?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What strategies work best for compressing prompt history before sending data to an LLM to strictly control our API spending?
1 real search · 1 real-search pass
LLM conversation history compression strategies prompt caching token counting structured summaries production context management documentationGoogle ↗
OBSERVED
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 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
LLM conversation history compression strategies prompt caching token counting structured summaries production context management documentation Google ↗
- Prompt caching · developers.openai.com
- Prompt caching · developers.openai.com
- Compaction · developers.openai.com