codex-stats 1.6.1

Local AI usage observability CLI for Codex sessions.

codex-stats

codex-stats is a local analytics tool for Codex usage.

It reads your local Codex state from ~/.codex and surfaces:

• a browser dashboard with day, week, month, and all-time tabs
• model and project breakdowns
• recent session history
• estimated token-based cost
• anomaly-aware usage insights and recommendations
• export for cross-device snapshots
• shareable JPG cards and browser PDF export from the dashboard

Install

pipx install codex-stats

Or with pip:

python3 -m pip install codex-stats

Command Reference

• codex-stats Generate a standalone dashboard HTML file and open it in the default browser.
• codex-stats --output codex-stats-dashboard.html Write the dashboard HTML to a fixed path.
• codex-stats --output codex-stats-dashboard.html --no-open Write the dashboard HTML without opening the browser.
• codex-stats export codex-stats-export.json Export normalized local stats to JSON.
• codex-stats export codex-stats-export.json --since 30d Export only a rolling window of recent sessions.

Inside the dashboard, use the action bar to:

• switch between Day, Week, Month, and All Time
• print the active tab to PDF
• download shareable JPG cards for summary, cost, focus, and project share

How It Works

codex-stats does not proxy or intercept Codex API traffic.

It reads local Codex artifacts, including:

• state_5.sqlite for session metadata
• rollout JSONL files for request and token snapshots

Notes

• Costs are estimates, not billing values.
• Output depends on local Codex file formats remaining compatible.
• export --since Nd limits snapshots to a rolling window before sharing.

Roadmap

The current priority list lives in docs/roadmap.md.

Shareable Assets

The dashboard exports JPG cards with names like:

• docs/assets/codex-stats-week-summary-card.jpg
• docs/assets/codex-stats-week-cost-card.jpg
• docs/assets/codex-stats-week-focus-card.jpg
• docs/assets/codex-stats-week-projects-card.jpg

These sample assets were generated from the current renderer so the docs match what the dashboard actually downloads.

Development

For local development from the repo:

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -U pip setuptools
python -m pip install -e .

Run without installing:

PYTHONPATH=src python3 -m codex_stats