Stop paying for the same question twice.
Exact-match caching misses paraphrases. Sentinel embeds every prompt and serves semantically identical requests from cache — at zero token cost and under 50ms.
No credit card required · Drop-in OpenAI SDK compatible · Live in 60 seconds.
Live similarity engine
AUTO-REPLAYCached prompt · yesterday 14:02
"How do I reset a user's password?"
Incoming prompt · just now
"What's the way to reset a user password?"
How it works
A two-stage cache pipeline evaluated in-line — exact match first, vector similarity second, upstream last.
Ingest & Normalize
Messages are canonicalized and PII-scrubbed, then hashed (SHA-256) with your tenant ID and model. An exact hit returns instantly — 0ms, zero embedding cost.
In-Flight Vector Lookup
On an exact miss, the scrubbed prompt is embedded with text-embedding-3-small and compared against your tenant's cached vectors in Redis. Similarity at or above 0.92 returns the cached completion.
Delivery & Audit
Cache hits return with cache_type: "semantic" and full trace metadata. Misses flow upstream, then write back asynchronously — so the next paraphrase is free.
The FinOps math, upfront
Repeat and paraphrased prompts are the silent majority of LLM spend. Cache them once.
85%
Cost reduction
Typical savings on chat-heavy, repetitive workloads.
<25ms
Cache latency
Exact hits return in single-digit milliseconds.
$0.00
Per cache hit
Zero tokens billed — exact and semantic hits alike.
0.92
Cosine threshold
Tunable per tenant — tighten for precision, loosen for savings.
Your next 10,000 repeat prompts are free.
Sign up in 60 seconds. Semantic caching is on by default — no configuration required.
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