Reuse Eligibility
Identify a stable cache-eligible prefix and distinguish a request-shape problem from opaque upstream cache state.
CachePilot by CLC Labs
CachePilot governs what OpenAI and Claude workloads can validly reuse and what must execute again. It treats cost as one outcome alongside latency, drift, policy correctness, and auditable evidence.
Execution Path
Control surface
Hosted-model workflows waste execution and become hard to audit when reuse eligibility, request shape, tool use, output growth, cache behavior, and policy drift are invisible.
Identify a stable cache-eligible prefix and distinguish a request-shape problem from opaque upstream cache state.
Compare the reuse CachePilot expected with the cached input tokens the provider actually reports on a repeated request.
Apply supported prompt cache keys and Anthropic cache breakpoints while recording exactly what changed.
Gate output budgets, shell, hosted tools, schemas, skills, and supported request parameters at one project boundary.
Measure drift, cache behavior, latency, status, and usage without storing prompts or outputs by default.
Use flows where your application supplies the OpenAI or Anthropic key while CachePilot applies policy and telemetry around the request.
Governed-vs-passthrough comparison
In one governed-vs-passthrough comparison, CachePilot showed improved prefix accuracy, lower p95 latency, and lower estimated cost. This is comparison data, not a customer guarantee.
Security posture
CachePilot stores content-free telemetry: hashes, policy metadata, request status, latency, token usage, and receipts. BYOK flows are supported where your application supplies the OpenAI or Anthropic key.
Start with one workflow