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Context is the ultimate bottleneck of LLM capabilities. We introduce a middleware for Langchain (and soon OpenCode and others) to dynamically assemble a complete context optimized for the task at hand with every message sent to the LLM. Benchmarks (MT-RAG from IBM) show ~6% improvement in multi-step and multi-turn agent performance with a ~35% reduction in token count and cost and a ~22% reduction in latency compared to the current state of the art.

Team

aarya_harkare+1

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Participant

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