What are the current best practices for reducing OpenAI API response times when dealing with large payloads and complex system prompts
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the current best practices for reducing OpenAI API response times when dealing with large payloads and complex system prompts
3 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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
OpenAI API latency optimization prompt caching streaming large inputs official documentation 2026 Google ↗
OpenAI API latency optimization guide reduce latency official OpenAI Google ↗
OpenAI API prompt caching documentation cached tokens latency Google ↗
- Prompt caching · developers.openai.com
- API deployment checklist · developers.openai.com
- Latency optimization · developers.openai.com
- Optimizing latency with OpenAI API models · help.openai.com
- Troubleshooting API Errors and Latency · help.openai.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI API latency optimization prompt caching streaming large inputs official documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
OpenAI API latency optimization guide reduce latency official OpenAI OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
OpenAI API prompt caching documentation cached tokens latency OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |