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Developer tool analyzes Claude Code token waste, suggests 250K context window

By PulseAugur Editorial · [1 sources] ·

A developer analyzed 147 local sessions of Claude Code and Codex to understand token usage and context window costs. The analysis revealed that a small percentage of turns, particularly those exceeding 200K context, accounted for a disproportionately large share of the token expenses. The developer created a Node.js CLI tool called `compactsim` to simulate different context compaction strategies, finding that setting `autoCompactWindow` to 250,000 tokens could reduce weighted token usage by 28.5% with minimal impact on compaction frequency. AI

IMPACT Provides insights into optimizing LLM context window usage and reducing operational costs for developers.

RANK_REASON Developer-created CLI tool for analyzing LLM token usage.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer tool analyzes Claude Code token waste, suggests 250K context window

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40 / 100
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Tool
Developer-created CLI tool for analyzing LLM token usage.
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infra, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Prince Jain ·

    Replaying 147 Claude Code & Codex Sessions to Tune autoCompactWindow (and Catching a 3x Token Overcount)

    <p>My first script for checking local Claude Code token usage summed raw <code>assistant</code> lines in <code>~/.claude/projects/**/*.jsonl</code> and overcounted session <code>4baee81b</code> by 3.0x (33 JSONL usage rows for 11 actual API turns). Whenever a single turn emits te…

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