Quick facts
- Best for
- Cut LLM API costs without breaking responses.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About SemanticGuard
SemanticGuard is an AI gateway designed to reduce costs related to OpenAI, Anthropic, and Google AI use. It achieves this through the application of intelligent caching with multi-layer verification. This ensures that the information used is up-to-date and accurate. SemanticGuard offers a simple integration for users with just one line of code required. The tool provides a system wherein all calls to the AI tool are automatically cached and tracked. Users can view real-time savings and are given the ability to measure their potential savings through the use of 'Shadow Mode'. Once users are satisfied with their potential saving, they can enable caching.The tool specializes in robust caching capabilities, guaranteeing cache hits within under 50ms and offers a fail-open design for if the cache is down, allowing requests to go straight to the provider avoiding downtime. In order to maintain the accuracy, SemanticGuard stores only selected API keys at request time and never stores upstream API keys. They offer a full security posture, with encryption in transit and at rest. SemanticGuard is built for Vercel but plans to make it possible for users to host it themselves in short order. The tool is designed for production environments, providing continuous learning and multiple layers of verification for each cache hit. It has the unique ability to catch varying elements in prompts such as names, dates, IDs, and more. Supported featuresAPIMCP (Model Context Protocol) Key FeaturesSelf-validating Cache With Multi-layer Verification On Every HitReal-time Cost And Savings Analytics DashboardOne-line Sdk Integration Via Withsemanticguard()100% Measured Cache Correctness On Public BenchmarkShadow Mode For Measuring Potential Savings Before Enabling CachingFail-open Design With Zero Downtime RiskCross-provider Caching Across Openai, Anthropic, Google, Azure, Bedrock, MistralCache Hits Return In Under 50 MillisecondsConfigurable Similarity Thresholds And TtlPii Redaction On Stored Prompts (api Keys, Tokens, Emails) On By Default
Pros
- Self-validating semantic caching
- Single line integration
- Multi-layer verification
- Cache hits under 50ms
- Real-time savings tracking
- Potential savings measurement
- Integrated MCP server
- Secure API key handling
- Encrypts in transit and rest
- Compatible with Vercel
- Fail-open routing design
- Built for production
Cons
- No self-hosting available currently
- Pro version costs $49/month
- No built-in prompt caching
- Upstream API keys aren't stored
- Require additional configuration (Machine-readable responses)Real-time savings not immediately available
- Cache correctness verification limited