How can I diagnose whether our API latency bottlenecks are coming from OpenAI server-side throttling or our own Node.js server payload size before our afternoon engineering review?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I diagnose whether our API latency bottlenecks are coming from OpenAI server-side throttling or our own Node.js server payload size before our afternoon engineering review?
2 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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
OpenAI API rate limits response headers x-ratelimit retry-after request latency troubleshooting official documentation Google ↗
Node.js performance monitoring event loop delay monitorEventLoopDelay documentation Google ↗
- Rate limits · developers.openai.com
- Troubleshooting API rate limits and 429 errors · help.openai.com
- Error codes · developers.openai.com
- API Overview · developers.openai.com
- Troubleshooting API Errors and Latency · help.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI API rate limits response headers x-ratelimit retry-after request latency troubleshooting official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Node.js performance monitoring event loop delay monitorEventLoopDelay documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |