Nice paper discussing context trimming for agents.
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Nice paper discussing context trimming for agents. This is a hot topic at the moment, so it might be worth your time. Context trimming for agents is usually judged by how many tokens it removes. This study also measures whether the task still succeeds. The work compares five trimming strategies on multi-step tool workflows. Recency, relevance and summarization saved about 60% of tokens, but task success fell to between 66.6% and 77.3%. Protocol-aware trimming keeps identifiers, constraints, tool schemas and unresolved commitments intact and compresses the rest. With adaptive budget guardra
Posted by DAIR.AI (132.3k followers) 3 days ago · 56 likes · 8.6k views · view the original post on X. Kept by the AI Radar as AI agents. Tools mentioned: academy.dair.ai.
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