On a hotel expense benchmark, pruning LLM agent context to the last 5 tool pairs plus summarization raises completion to 91.6% and cuts tokens by ~63% compared with retaining full conversation history.
Long- Mem: Augmenting large language models with mem- ory mechanism for long-context understanding,
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Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
On a hotel expense benchmark, pruning LLM agent context to the last 5 tool pairs plus summarization raises completion to 91.6% and cuts tokens by ~63% compared with retaining full conversation history.