Why am I running into API latency bottlenecks when streaming tokens from the Anthropic Claude 3.5 Sonnet endpoint?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why am I running into API latency bottlenecks when streaming tokens from the Anthropic Claude 3.5 Sonnet endpoint?
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
Anthropic API streaming latency time to first token prompt caching rate limits Claude 3.5 Sonnet documentation Google ↗
Anthropic API streaming messages events SDK buffering latency troubleshooting documentation Google ↗
- Prompt caching with Claude · claude.com
- Prompt caching · platform.claude.com
- Streaming messages · platform.claude.com
- latency optimization documentation · platform.claude.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Anthropic API streaming latency time to first token prompt caching rate limits Claude 3.5 Sonnet documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Anthropic API streaming messages events SDK buffering latency troubleshooting documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |