Live Product

CachePilot: governed OpenAI gateway for teams controlling cost, policy, and telemetry.

CachePilot is the first commercial product from CLC Labs. It applies the lab's execution governance research to hosted API usage: BYOK streaming, deterministic policy receipts, output budget enforcement, cache hygiene, and content-free telemetry.

CachePilot Gateway

Request -> policy -> receipt

Live
Request
Responses API
Policy
Budget + tools
Receipt
Hash telemetry
X-CP-Policy-Version
policy_2026_04: output_budget=on
X-CP-Prefix-Hash
sha256:b87a...91fc
0
prompts stored
3
policy receipts
28%
cache lift

Why It Exists

Most OpenAI governance breaks down because policy, cost, and telemetry are scattered across applications.

AI platform teams

Centralize policy, observability, and request behavior across internal OpenAI users.

Cost-sensitive engineering teams

Detect cache misses, control output budgets, and identify expensive request patterns.

Governed product teams

Apply auditable tool, skill, and budget policy without rewriting every client.

Enterprise Posture

CachePilot is designed for teams that need control without giving up ownership of their upstream model account.

Bring your own OpenAI key
No prompt or output storage by default
Hash-first telemetry and receipts
Streaming Responses API passthrough
Per-project policy and output budgets
Token, latency, and cache telemetry

Part of the CLC Labs portfolio

CachePilot handles governed hosted API usage. LE Control Plane handles customer-hosted multi-step execution. The Vertical Training Compiler handles reusable vertical structure. Each product applies the same lab thesis to a different production surface.