CachePilot

What it does

CachePilot gives you production telemetry for OpenAI apps: cache behavior, request structure, and policy effects, without storing raw prompts. BYOK, normal streaming, and visibility into what is actually happening under the hood.

Reuse stable LLM work and govern what executes again with cache eligibility, drift detection, execution policy, telemetry, and auditable receipts.

CachePilot sits between your workloads and model providers to keep stable context cache-eligible, detect reuse-breaking drift, enforce execution policy, and prove expected versus actual reuse with auditable receipts. CachePilot does not promise to force opaque provider caches. It makes requests eligible for reuse, records the conditions, verifies the upstream result, and keeps policy attached to the execution. Stable instructions, tools, and context should be paid for and processed once when the provider surface supports it. A hit is only good when the reused state is still policy-correct, attributable, and safe for the current workload. Lower input cost can follow valid reuse, but latency,…from cachepilot.clclabs.ai

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