SemanticGuard

What it does

Most LLM calls in production are repeats. Same questions, same prompts, sometimes worded slightly differently. SemanticGuard caches them. Sits between your app and OpenAI/Anthropic/Google, returns cache hits in <50ms, cuts costs 40-70%. One line of code to install. Shadow Mode shows your savings before you flip caching on. Every hit validated by your own AI so you never serve a wrong answer.

AI gateway that reduces OpenAI, Anthropic, and Google AI costs with intelligent caching that's measured at 100% correctness on our public benchmark. 1 line of code to integrate. Free tier available.

SemanticGuard is the only AI control plane that pays for itself. Audit every tool call, enforce policy on the destructive ones, and cache the responses. Median 50% savings and 100% cache correctness on our public benchmark. Governance-only tools cost you a line item. SemanticGuard funds itself with the LLM spend it eliminates. One line of code. OpenAI, Anthropic, Google, Azure, Bedrock, Mistral. import { createOpenAI } from "@ai-sdk/openai" ; import { withSemanticGuard } from "@semanticguard/ai-sdk" ; const openai = createOpenAI ( { apiKey : "sk-..." , fetch : withSemanticGuard ( { apiKey : "sg-your-key-here" , } ) , } ) ; // All calls now cached + tracked automatically. Tool calls // in…from semanticguard.dev

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