Governed Routing
Route selected OpenAI workflows through a policy-aware gateway before requests reach the Responses API.
CachePilot by CLC Labs
The governed execution layer for production OpenAI workflows.
CachePilot helps AI platform, infrastructure, ML platform, and product engineering teams control OpenAI execution across cost, latency, output growth, tool access, policy drift, and auditability.
Execution Path
Application workflow
Policy, tools, budget, receipts
CachePilot governed gateway
BYOK request forwarding
OpenAI Responses API
Control surface
Move governance out of ad hoc app logic.
Production AI workflows become expensive and hard to audit when retries, request shape, tool use, output growth, cache behavior, and policy drift are invisible.
Execution Receipts
Attach X-CP receipt headers with policy version, applied budget, skills hash, prefix hash, and request governance metadata.
Output Budgets
Control runaway responses by enforcing workflow-level output budgets and recording what policy was applied.
Tool Controls
Gate shell, hosted tools, tool schemas, and skills through explicit project policy instead of scattered app logic.
Hash-First Telemetry
Measure drift, cache behavior, latency, status, and usage without storing prompts or outputs by default.
BYOK Support
Use flows where your application supplies the OpenAI key while CachePilot applies policy and telemetry around the request.
Governed-vs-passthrough comparison
Measure whether policy changes execution behavior.
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.
Prefix accuracy7.4%82.6%
P95 latency16,210 ms8,872 ms
Estimated cost$0.2368$0.1820
Security posture
No prompt or output storage by default.
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 key.
Start with one workflow