pi-token-usage

A Pi coding agent extension that analyzes token usage and cost across your session files.

Installation

# NPM (recommended)
pi install npm:@alexanderfortin/pi-token-usage

# Git
pi install git:github.com/shaftoe/pi-token-usage

# Or quick-test without installing
pi -e ./pi-token-usage/src/index.ts

Usage

/token-report                                  Report all sessions (table in TUI)
/token-report 7                                Last 7 days
/token-report /path/to/dir                     Specific directory or file
/token-report --format csv                     CSV to stdout
/token-report --format csv --save report.csv   Save CSV to file
/token-report 7 --format json                  JSON to stdout
/token-report --format md                      Markdown to stdout
/token-report --format markdown --save out.md  Save Markdown to file
/token-report --format=csv --save=out.csv      Equals-sign syntax also works

Arguments

Argument	Description
[days]	Number — show sessions from the last N days
[path]	Path to a .jsonl file or directory (default: ~/.pi/agent/sessions)
--format, -f	Output format: table (default), csv, json, markdown (alias: md)
--save, -s	Write output to file instead of stdout/TUI

Output Formats

Table (default) — interactive TUI overlay with styled columns.

CSV — machine-readable spreadsheet format. Includes metadata as # comment lines.

Model,Provider,Turns,Input Tokens,Output Tokens,...
claude-sonnet-4-20250514,anthropic,10,50000,12000,...
TOTAL,,15,70000,20000,...

JSON — structured output with meta, models, and totals sections. Pipe to jq for queries.

Markdown — pipe-delimited table for notes, PRs, or documentation.

Development

cd pi-token-usage
bun install           # Install dependencies
bun run check         # Type-check with tsc
bun run lint          # Lint with eslint
bun run format:check  # Verify formatting
bun run format        # Auto-format with Prettier
bun test              # Run tests
bun test:coverage     # Run tests and show coverage stats

How It Works

1. Scans ~/.pi/agent/sessions (or given path) for .jsonl session files
2. Parses each file, extracting assistant messages with usage data
3. Aggregates token counts and costs per model+provider
4. Renders in the requested format

Releasing

This project uses automated publishing to NPM via GitHub Actions. The workflow will:

• Run all CI checks
• Build the package
• Publish to NPM with provenance (signed) via trusted publishing

License

See LICENSE