DeepSeek Context Optimizer

Example Use Cases

• 1

  Compress and summarize long user or document context before sending to DeepSeek to stay within token limits and improve relevance.

• 2

  Caching and deduplication of frequent queries to reduce DeepSeek API usage, lower latency, and increase cache hit rates.

• 3

  Request scheduling and prioritization to handle high-concurrency workloads while providing observability via Prometheus/Grafana.

Description

The Context Optimizer Server preprocesses and cleans long context, performs intelligent summarization, and uses Redis-based caching to reduce redundant DeepSeek API calls. It provides request scheduling and prioritization to improve throughput for concurrent workloads and exposes simple /optimize and /health endpoints for integration. The project also includes monitoring with Prometheus/Grafana and optional Docker/Claude Desktop integration for easy deployment.