Batch LLM with rate limiting
Prevents failure at job 847 of 10,000 - throttle paces the pipeline, tok gates each doc before the API call wastes a request. Process a large ...
Prevents failure at job 847 of 10,000 - throttle paces the pipeline, tok gates each doc before the API call wastes a request. Process a large ...
Avoids duplicate API calls for identical prompts - the hash keys the cache so reruns are free. Send a prompt, get the request hash, and store the ...
Keeps every chunk within the embedding model's token limit - no silent truncation during indexing. Split a document into chunks and store each for ...
Ties storage to identity without custom parsing - the JWT carries the key, so the lookup stays stateless and auditable. Extract a claim from a JWT ...
Catches secrets the model echoes back before they reach storage - one leaked API key in kv is a breach. Mask any accidentally leaked secrets before ...
Bad structured output exits 1 before reaching downstream systems - you catch schema drift at the source, not in production. Gate the pipeline on ...