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pi-dumb

v0.2.0

Published

Context rot indicator for Pi — shows token usage with research-backed degradation warnings

Readme

pi-dumb 🧠

Degradation Usage Meter Bar — a context rot indicator for Pi

Shows your current token usage in the status bar with research-backed color warnings for when your LLM is getting dumber.

Why?

LLM quality degrades based on absolute token count, not context window percentage. A 200k-window model at 100k tokens performs just as poorly as a 1M-window model at 100k tokens.

Research:

  • Chroma (2025): All 18 frontier models degrade as context grows
  • Liu et al. (Stanford): 30%+ accuracy drop from "lost-in-the-middle" effect
  • Attention dilution is quadratic: 100k tokens = 10 billion pairwise relationships

Thresholds

| Icon | Tokens | Zone | Meaning | |------|--------|------|---------| | 🧠 | 0–30k | Fresh | Sweet spot — peak reliability | | 🟡 | 30–60k | Warm | Past recommended reset point | | 🔥 | 60–100k | Hot | Danger zone for coding tasks | | 💀 | 100k+ | Rot | Broadly degraded quality |

Install

pi install npm:pi-dumb

What it looks like

After each turn, you'll see something like this in your status bar:

🧠 12.4k     # you're good
🟡 45k       # consider compacting
🔥 82k       # quality is dropping, compact soon
💀 142k      # you should have compacted yesterday

License

MIT