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pi-token-burden banner

pi-token-burden

npm version CI License: MIT

See where your system prompt tokens go.

A pi extension that parses the assembled system prompt and shows a token-budget breakdown by section. Run /token-burden to see how much of your context window is consumed by the base prompt, AGENTS.md files, skills, SYSTEM.md overrides, and metadata.

Install

pi install npm:pi-token-burden

Or from git:

pi install git:github.com/Whamp/pi-token-burden

To try it for a single session without installing, use pi -e npm:pi-token-burden.

Requirements

  • pi v0.55.1 or later

Usage

Type /token-burden in any pi session. An overlay appears with a stacked bar and a drill-down table:

pi-token-burden main view

The table is sorted by token count (descending). Use arrow keys to navigate, Enter to drill down into children (e.g., individual skills or AGENTS.md files), and / to fuzzy-search items.

Drill-down views:

AGENTS.md drilldown
AGENTS.md files with per-file token counts

Tool definitions drilldown
Tool definitions with per-tool JSON schemas

Base prompt trace view
Base prompt source attribution (press t on Base prompt)

Keyboard shortcuts

Key Context Action
/ All modes Navigate rows
Enter Sections Drill into children or enter skill-toggle
/ Sections/skills Fuzzy search
e Sections Open the selected section in $EDITOR
e Drilldown (AGENTS) Open the AGENTS.md file in $EDITOR
e Drilldown (Tools) Open tool JSON definition in $EDITOR
t Sections Trace Base prompt sources (attribution view)
s Sections Enter skill-toggle mode
Enter Skill-toggle Cycle skill state (on → hidden → disabled)
Ctrl+S Skill-toggle Save pending skill changes
Enter Trace view Drill into bucket (line-level evidence)
r Trace view Refresh trace
Esc Any Go back / close overlay

Base prompt source tracing

Press t when the cursor is on the Base prompt row to run an on-demand attribution trace. This analyzes extension tool registrations and matches their prompt snippets and guidelines against the lines in the Base prompt, showing:

  • Built-in/core — tools and guidelines hardcoded in pi
  • Extension buckets — lines contributed by specific extensions
  • Shared — lines registered by multiple extensions
  • Unattributed — lines that couldn't be matched to any source

Press Enter on any bucket to see line-level evidence with per-line token counts.

Tool definitions

Tool definitions are the function schemas (name, description, parameter JSON schema) sent to the LLM alongside the system prompt. They consume context window tokens but were previously invisible in the budget. Now they appear as a drillable section where you can:

  • View per-tool token costs
  • Press e on any tool to see its full JSON definition in your editor

What each section measures

Section Content
Base prompt pi's built-in instructions, tool descriptions, guidelines
SYSTEM.md / APPEND_SYSTEM.md Your custom system prompt overrides
AGENTS.md files Each AGENTS.md file, listed individually
Skills The <available_skills> block, with per-skill breakdown
Tool definitions LLM function schemas (name, description, parameters)
Metadata The Current date and time / Current working directory footer

Token estimation

Tokens are counted using gpt-tokenizer with the o200k_base encoding (used by GPT-4o, o1, o3, and other modern models). This gives exact BPE token counts rather than a character-based approximation.

Development

git clone https://github.com/Whamp/pi-token-burden.git
cd pi-token-burden
pnpm install
pnpm run test     # 111 unit tests
pnpm run test:e2e # 29 e2e tests (requires tmux)
pnpm run check    # lint, typecheck, format, dead code, duplicates, tests

Test locally: pi -e ./src/index.ts, then type /token-burden.

Contributing

Contributions are welcome. Please open an issue before starting work on larger changes.

Changelog

See CHANGELOG.md for release history.

License

MIT

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