Replaying ReclaimLLM 0.1.35 over the organization's latest 50 eligible sessions reduced the text tool-result stream from 13,420,338 tokens to 10,142,010 tokens without re-running historical commands or calling a model. Across 18,510 non-image tool calls, 14,124 tool outputs (76.30%) were actively compacted, with 96.64% of result characters reachable by the transform core.
Every 1 million text tool-result tokens in this workload would require about 755,700 tokens after reduction. Within that portion of context, the remaining budget could carry roughly 323,200 additional tokens of equivalent original tool-output workload.
Capacity calculation
3,278,328 / 10,142,010 = 32.32%78.09% of all removed tokens (2,560,129 tokens) came from three new Round 2 mechanisms that compact native tool outputs directly.