Our system is too slow right now and I need the best tools or methods for reducing API latency bottlenecks immediately.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Our system is too slow right now and I need the best tools or methods for reducing API latency bottlenecks immediately.
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). 2 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
API latency optimization best practices connection pooling caching tracing OpenTelemetry official documentation 2026 Google ↗
OpenTelemetry distributed tracing HTTP server client database latency instrumentation documentation Google ↗
- Grafana · grafana.com
- Prometheus · prometheus.io
- OpenTelemetry · opentelemetry.io
- Jaeger · jaegertracing.io
- Redis · redis.io
- k6 · grafana.com
- Datadog APM · datadoghq.com
- Latency optimization · developers.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
API latency optimization best practices connection pooling caching tracing OpenTelemetry official documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
OpenTelemetry distributed tracing HTTP server client database latency instrumentation documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |