
Telemetry for OpenAI apps

Telemetry for OpenAI apps
CachePilot is a governed proxy and gateway designed for the OpenAI Responses API. Its primary function is to enforce organizational policies, optimize caching, and manage output budgets for every API call without storing the actual content of prompts or outputs. The tool operates as a Bring Your Own Key (BYOK) service, allowing users to maintain control over their data while implementing a layer of governance between their applications and OpenAI. It utilizes SHA 256 prefix hashes to provide proof of instruction stability across sessions, enabling users to audit and verify request consistency without compromising privacy. The platform includes several technical features for managing large language model interactions. It offers deterministic skill governance through an algebraic logic system that filters requested skills against allowed and denied lists. It also provides shell access control on a per project basis and implements zero buffer Server Sent Events (SSE) passthrough to maintain streaming fidelity. For reliability, the gateway includes automated retry intelligence with exponential backoff for 429 and 503 errors. Every response includes X CP receipt headers that detail the policy version, applied output budget, and telemetry hashes for auditing purposes. Typical use cases involve organizations that require strict policy enforcement and telemetry for their AI integrations. Users can define per project policies to control token usage, monitor latency breakdowns, and track error rates without logging sensitive prompt data. The workflow requires a simple configuration where the user swaps the standard OpenAI base URL for the CachePilot endpoint and adds a specific header key. This setup allows for the export of telemetry logs to verify policy compliance and prefix stability, making it suitable for environments where auditable and deterministic AI behavior is a requirement.