A policy layer for OpenAI apps: enforce cache behavior, version changes, and roll back safely.
OpenAI gives you caching primitives. CachePilot turns them into enforced project policy.
Understand cache behavior before you enforce it.
Move from observation to enforced policy.
Best for solo builders shipping v1.
Protect production with staged policy rollout and regression checks.
Best for production apps.
Standardize cache policy across teams, environments, and releases.
No. CachePilot stores only hashes, token counts, latencies, and receipts. Your prompts and completions never touch our database.
Changes in policy, tools, or conversation structure. The proxy compares governance hashes against your golden runs and flags any divergence in real-time.
Yes. Starter and above get versioned policies with one-click rollback. Every change is append-only, so nothing is ever lost.
A pinned known-good execution fingerprint. Pin any request as a baseline, and CachePilot will automatically compare future executions against it to catch regressions.
Passthrough mode observes request behavior without changing it. Govern mode applies project policy — including cache key strategy, retention settings, and other enforcement rules — before the request reaches the model.