ReskCaching

ReskCaching: Secure and Cost-Effective LLM Response Caching

ReskCaching is a Bun-based backend library and server designed for secure caching, embeddings orchestration, and vector database access. It helps reduce the high costs of LLM API calls by storing pre-computed responses in a vector database and retrieving them based on semantic similarity to incoming queries. This ensures consistent quality, customizable selection, and a scalable architecture for high-throughput production environments.

Benefits

• Massive Cost Reduction: Save on LLM API costs by reusing cached responses.
• Consistent Quality: Ensure high-quality, pre-approved responses.
• Customizable Selection: Choose responses based on deterministic algorithms, weights, or business rules.
• Scalable Architecture: Built for high-throughput production environments.

Use Cases

ReskCaching is ideal for applications that frequently use LLM APIs, such as chatbots, virtual assistants, and customer support systems. By caching responses, it helps reduce costs and ensure consistent quality. The system can be used in various industries, including healthcare, finance, and e-commerce, where high-quality, consistent responses are crucial.

Pricing

Pricing details are not available in the provided article.

Vibes

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Additional Information

ReskCaching supports multiple vector database backends, including Chroma, Pinecone, Weaviate, and Milvus. It also offers advanced features like AES-GCM encryption, JWT-protected API, OpenAPI 3.1 documentation, performance monitoring, and real-time updates. The system is designed to be secure, with secrets only on the server, TLS transport, JWT short-lived, per-user/IP rate-limit, and optional AES-GCM encryption at rest for persisted cache entries.

ReskCaching is licensed under Apache-2.0.