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548 2026 02 02 Token Pruning Efficiency Plan 937a4bfb
ASecurityCaptured a concrete implementation plan for reducing token estimation overhead in `prune_old_tool_outputs()`, including reuse of precomputed token counts, cached placeholder tokens, early termination in Phase 1, and a decision gate for token caching.
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- Added October 11, 2026
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[](https://www.skillsdirectory.com/skills/tools-only-548-2026-02-02-token-pruning-efficiency-plan-937a4)---
title: Token Pruning Efficiency Plan Captured
link: token-pruning-efficiency-plan
type: delta
path: memory-bank/plan/2026-02-02_token-pruning-efficiency-plan.md
depth: 0
seams: [M]
ontological_relations:
- relates_to: [[prune_old_tool_outputs]]
- relates_to: [[token_estimation]]
tags:
- plan
- performance
- pruning
created_at: 2026-02-02T20:59:17-06:00
updated_at: 2026-02-02T20:59:17-06:00
uuid: 8f0d4a33-1f83-4d20-b45f-0c92227d1b3d
---
# Token Pruning Efficiency Plan Captured
## Summary
Captured a concrete implementation plan for reducing token estimation overhead in `prune_old_tool_outputs()`, including reuse of precomputed token counts, cached placeholder tokens, early termination in Phase 1, and a decision gate for token caching.
## Context
- Plan file: `memory-bank/plan/2026-02-02_token-pruning-efficiency-plan.md`
- Research source: `memory-bank/research/2026-02-02_token_estimation_overhead.md`
## Next Steps
- Execute milestones M1–M3 once scope is approved
- Decide on caching strategy (M4)
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