What is the most efficient way to batch asynchronous API requests to Claude 3.5 Sonnet to process twenty thousand documents overnight?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the most efficient way to batch asynchronous API requests to Claude 3.5 Sonnet to process twenty thousand documents overnight?
1 real search · 1 real-search pass
Anthropic Message Batches API documentation limits 100,000 requests 24 hours pricing 50% batch API Claude 3.5 SonnetGoogle ↗
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
Anthropic Message Batches API documentation limits 100,000 requests 24 hours pricing 50% batch API Claude 3.5 Sonnet Google ↗
- Batch processing · platform.claude.com
- Batch processing · platform.claude.com
- Model deprecations · platform.claude.com
- Batch processing · platform.claude.com