LLM Request Deduplication: Prevent Duplicate Work Without Sharing Private Responses

Deduplication must account for permissions and context, not just identical prompts.

Concentrate.aiOct 29, 2026

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Duplicate LLM requests can waste tokens, but identical prompts do not always mean identical work. Two customers may ask the same question with different permissions or private context. Deduplication needs a definition of the operation being repeated, not just a hash of the visible prompt.

Separate three different problems

retrying the same operation should not repeat its downstream side effects.

LLM Request Deduplication: Prevent Duplicate Work Without Sharing Private Responses

Separate three different problems

Instant access to every model

Scope an operation to its owner

Handle work that is still running

Protect tool actions separately

Use Concentrate to inspect the inference attempts

Sources

Separate three different problems

Instant access to every model

Related posts

Scope an operation to its owner

Handle work that is still running

Protect tool actions separately

Use Concentrate to inspect the inference attempts

Sources