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by tosin2013 • Analytics & Monitoring
Optimizes and manages context for DeepSeek v3 API calls to reduce latency and improve response accuracy.
Compress and summarize long user or document context before sending to DeepSeek to stay within token limits and improve relevance.
Caching and deduplication of frequent queries to reduce DeepSeek API usage, lower latency, and increase cache hit rates.
Request scheduling and prioritization to handle high-concurrency workloads while providing observability via Prometheus/Grafana.
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.
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