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548 2026 02 02 Token Pruning Efficiency Plan 937a4bfb

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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.

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  • Added October 11, 2026
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A100/100

Scanned October 11, 2026

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SKILL.md
---
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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