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 a…

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 guardrails it reached 96.0% task success and 1.0% cascading failure while still saving 56.0% of tokens. The budget has a large effect. Keeping 25% of the context or less raised the odds of failure 10.92 times compared with keeping 50% or more, and complex workflows needed more retained context. There is one caveat. The protected state came from gold annotations, so a production system would still need to detect that state on its own. Paper: https://academy.dair.ai/papers/protocol-preserving-context-trimming-for-agentic-workflows-benefits-failure-regi-2609.16461

Source: DAIR.AI (X) | 2026-09-16