SemanticGuard is an AI gateway engineered to decrease the expenses associated with using OpenAI, Anthropic, and Google AI. It accomplishes this through intelligent caching coupled with multi-layer verification.
This ensures that the information utilized is current and accurate. SemanticGuard provides a straightforward integration for users, requiring only a single line of code.
The tool offers a system where all calls to the AI tool are automatically cached and monitored. Users can view real-time cost reductions and have the ability to assess their potential savings through 'Shadow Mode'.
Once users are satisfied with their projected savings, they can enable caching. The tool excels in robust caching capabilities, guaranteeing cache hits in under 50ms and features a fail-open design. If the cache is unavailable, requests are routed directly to the provider, preventing service interruptions.
To maintain accuracy, SemanticGuard stores only selected API keys at the time of request and never retains upstream API keys. They provide comprehensive security measures, including encryption in transit and at rest.
SemanticGuard is built for Vercel, with plans to offer self-hosting capabilities in the near future. The tool is designed for production environments, delivering continuous learning and multiple verification layers for each cache hit.
It possesses the unique capability to identify and handle diverse elements within prompts, such as names, dates, IDs, and more.
Self-validating Cache With Multi-layer Verification On Every Hit
Real-time Cost And Savings Analytics Dashboard
One-line Sdk Integration Via Withsemanticguard()
100% Measured Cache Correctness On Public Benchmark
Shadow Mode For Measuring Potential Savings Before Enabling Caching
Intelligent caching system
High cache correctness
Real-time savings tracking
Dependent on cache correctness
Potential data security issues
Lack of offline functionality

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