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I built a deterministic pipeline that prunes this redundant state before the prompt ever reaches the model. The version I implemented avoids LLM calls, embeddings, and external dependencies. Relying strictly on standard library components ensures every pruning decision remains fully deterministic and reproducible. State tracking executes in three distinct passes: Expired Context Elimination, Dupli...
Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work | Huntaegis