What are the steps to reduce latency when calling external AI APIs from inside our low code automation platform
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the steps to reduce latency when calling external AI APIs from inside our low code automation platform
1 real search · 1 real-search pass
official documentation reduce latency API calls connection pooling streaming prompt caching batch requests AI inference latency optimizationGoogle ↗
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
official documentation reduce latency API calls connection pooling streaming prompt caching batch requests AI inference latency optimization Google ↗
- Prompt caching · developers.openai.com
- Prompt caching · developers.openai.com
- Latency optimization · developers.openai.com
- Azure OpenAI in Microsoft Foundry Models performance & latency - Microsoft Foundry · learn.microsoft.com