Enforce governance, optimize caching, and control output budgets on every OpenAI Responses API call — then prove it with hashes, without storing a single prompt.
# Request with shell + skills
curl https://api.cachepilot.clclabs.ai/v1/responses \
-H "X-CachePilot-Key: cp_live_proj_abc" \
-H "Authorization: Bearer sk-your-key" \
-d '{
"model": "gpt-4.1",
"stream": true,
"tools": [
{"type": "shell"},
{"type": "code_interpreter"},
{"type": "file_search"}
],
"input": "Refactor auth module..."
}'
# Response headers (policy receipt)
< X-CP-Policy-Version: 1
< X-CP-Output-Budget-Applied: 800
< X-CP-Skills-Applied-Hash: a3f8...c1e2
< X-CP-Prefix-Hash: 7b2d...f491SHA-256 prefix hashes on every request prove instruction stability across sessions. Detect prompt fragmentation before it costs you.
Allow/deny hosted shell per project. Rewrite skills with deterministic algebra: (requested ∩ allowed) − deny + required.
Your OpenAI API key, your data. Zero-buffer SSE passthrough with full streaming fidelity. No prompts or outputs stored.
Every response carries X-CP headers: policy version, applied output budget, skills hash, and prefix hash. Auditable by default.
Automatic 429/503 retry with exponential backoff. Retry counts logged per request for capacity planning.
Input, output, and cached token counts per request. Latency breakdowns and error rates—content-free.
Define per-project policy: output budget, cache optimization, shell access, and telemetry scope.
Swap your OpenAI base URL, add an X-CachePilot-Key header. Policies are enforced before requests reach OpenAI.
Every response carries X-CP receipt headers. Export telemetry logs to verify prefix stability and policy compliance.
Set up CachePilot in minutes. BYOK, no prompt storage, deterministic policy on every OpenAI call.
Open Dashboard →