Two similar questions can refer to different customers, revisions or permissions. Returning the earlier answer quickly is useful only when the reuse remains valid for the current work. A governed cache therefore needs a decision about eligibility before it needs a similarity score. Velocize exposes that distinction in its AI runtime and keeps cached output separate from accepted product authority.
Identify the task’s tolerance for old information
A stable terminology explanation can tolerate a different lifetime from a changing incident briefing. The cache pipeline uses feature-specific lifetimes and bypasses selected live or generation-sensitive tasks. Workflow-bound work also needs an explicit cache posture.
A lifetime is only an expiry limit. It is not a guarantee that the underlying source stayed unchanged. A release condition or permission change can invalidate the usefulness of an otherwise recent answer, so consequential work still needs its current source and review context.
Understand the two reuse paths
Exact reuse looks for a matching query in the tenant and feature context. Semantic reuse compares embeddings to find sufficiently similar earlier queries. Both avoid some provider work when the task permits reuse, but semantic similarity alone says nothing about decision authority.
Execution records identify the output’s source and cache disposition. Use these signals to investigate repeated answers or unexpected costs. Document revisions, permission changes and approval states also need their own applicability review; matching a query is only one part of safe reuse.
Treat sensitive decisions as context-dependent work
A legal interpretation, security review or jury matter can require current evidence and accountable review. The permitted cache posture follows the role and effective policy; a performance optimization must not broaden source access or remove a human gate.
The same rule applies to hostile content. An external document or tool result is material to evaluate, not a new authority that can tell the agent to ignore its role. Reusing that text does not make its instructions trusted.
Measure cache value alongside correctness and fallback
Observe hit rate together with retained output, correction and task latency. A high hit rate on answers that repeatedly need repair is not a success measure. Semantic matching also needs embeddings and storage, so reuse does not mean zero infrastructure or inference-related cost.
When the cache path fails or is bypassed, use only the provider route permitted for the assignment. If no eligible inference path exists, preserve the work and escalate or wait. Cache availability must not decide whether restricted information may leave the organization.
Worked application scenario
A team repeatedly asks for an explanation of stable project terminology and also requests current incident status. The first task may be eligible for reuse within its tenant and feature context; the second needs live information. Give the two tasks different cache postures instead of using one global performance switch.
A semantically similar question then refers to a revised requirement. Before reusing the earlier interpretation, examine the changed source and decision context. Similar wording and an unexpired cache entry do not establish that the new acceptance condition or access boundary is the same.
If semantic matching or embedding is unavailable, the runtime can use an eligible provider route. For local-only data, that route remains local-only. Record the output source so operators can distinguish a fresh inference from exact or semantic reuse when investigating correctness and latency.
Expected outcome and review checklist
A useful caching policy reduces repeated permitted work without making stale or unauthorized answers authoritative. Its success includes accepted output and correction behavior as well as hit rate. Cache statistics and retained work answer different operational questions.
Review the stored material’s sensitivity and required retention alongside access and invalidation responsibilities. A cache is another copy of information to govern. It should not become the only place where a decision rationale or accepted evidence is preserved.
- Separate stable and live tasks.
- Require explicit workflow cache eligibility.
- Review changed source and permission context.
- Record exact, semantic and inference sources.
- Keep fallback inside the processing boundary.