Reuse What Your LLM Traffic Already Answered by Meaning
Cloptima matches requests semantically to serve near-duplicate requests from a local vector cache that activates only where evals, freshness, and similarity thresholds say it's safe.
Exact match misses most of the repeat traffic
Exact-match caching only catches requests that are byte-for-byte identical, but a large share of repeat traffic is semantically identical: the same question asked in different words, or the same classification with different phrasing. Without semantic caching, that traffic re-runs the full model every time, driving up latency and provider token spend.
- Byte-identical caching misses the larger population of near-duplicate requests
- Identical user intents worded slightly differently incur full model latency and cost
- Wrong-answer risk from serving a semantically 'close enough' response with no safety gate
- Risk of unverified or low-fidelity vector representations serving cached responses
A strict safety gate on top of vector similarity
Cloptima matches requests semantically using local vector embeddings against previous responses. Semantic cache eligibility is a strict gate: a request only qualifies for a cached hit after passing namespace isolation, route and model-family matching, tool-schema matching, source-freshness checks, and content-class checks — and, for enforce mode, an eval-score threshold and optional human approval. Enforce mode requires verified production embeddings and passing eval thresholds before live serving begins.
- Near-instant local vector matching across semantic candidate entries
- Semantic cache observe mode: log would-be matches and similarity scores with zero behavior change
- Semantic cache enforce mode: serve only after namespace, route, model-family, tool-schema, freshness, and content-class checks pass
- Eval-score gate and optional human-approval gate before enforce-mode serving
- Strict verification gate — high-fidelity embeddings and eval passes are required before enforce mode can activate
Observe first, enforce second
Start with semantic cache observe mode once embeddings are configured. Review similarity scores, match quality, and projected cost savings with zero traffic disruption. Reserve enforce mode for narrow, eval-scored request scopes once confidence is proven.
Outside the synchronous provider path
Semantic cache candidate lookups run entirely outside the synchronous provider request path — a candidate lookup either returns fast or the request proceeds to the provider with no added latency floor. The candidate endpoint never returns response bodies directly, only pointers (cache key hash and policy id), so the gateway engine replays a hit through the same safety path as the exact-cache layer rather than trusting raw vector proximity.
Compare Cloptima AI Gateway
See how Cloptima combines hot-path gateway controls with enterprise FinOps and cost reconciliation.
Cloptima vs LiteLLM
OpenAI-compatible gateway routing vs. full FinOps control plane, attribution, and hot-path team budget limits.
Cloptima vs Portkey
Routing and guardrails vs. pre-flight budget enforcement, finance ledger, and p95 7–15ms end-to-end latency.
Cloptima vs Cloudflare AI Gateway
Edge proxying vs. enterprise attribution, team quota enforcement, and provider bill matching.
Cloptima vs Helicone
LLM observability logs vs. active request-path budget controls, response caching, and unit economics.
Launch path
Configure a BYOK embedding credential for your semantic cache runtime. Turn on semantic cache observe mode to review match quality and simulated hit rate. Require a passing eval score before moving any policy scope to enforce mode.
FAQ
Operationalize LLM FinOps Across Your Apps
Start with telemetry, gateway governance, or provider bill matching workflows. Keep model spend connected to engineering ownership and finance reporting.