AI solutionsShared across all subject areas

Prompt Caching & Context Reuse

Reuses the processed form of repeated prompt prefixes instead of paying to process them again.

Description

Exploits the fact that most prompts share a large stable preamble — schema descriptions, policy text, tool definitions, few-shot examples — by caching its processed form. Usually the single largest cost lever available.

When it fits

High-volume tasks with a stable prefix. The longer and more repeated the preamble, the larger the saving.

When it does not fit

Highly varied one-off prompts with little shared structure, where cache misses dominate.

Governance requirement

Cache keys must be tenant-scoped. A cache shared across tenants is a cross-tenant data path, however unlikely the collision.

Characteristic failure

A perverse incentive against improving prompts, since every edit invalidates the cache and raises cost. Teams stop refining prompts to protect a metric.

Example

A matching-rule explanation task where the schema and rule library form a long fixed preamble and only the specific exception varies.

AI solution components4
  • Prefix Stability Analyser
  • Tenant-Scoped Cache Keys
  • Cache Performance Monitor
  • Invalidation Strategy
AI opportunity solutions

Deliberately empty

Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.