Skip to main content

Tokenmeter

Tokenmeter demo

A local dashboard that shows token usage and estimated cost for every prompt you send in Claude Code and Codex. Zero dependencies: one Python file, one HTML file, nothing leaves your machine.

What you get

  • Live feed of every model turn from Claude Code, Codex and GitHub Copilot CLI, updated a few seconds after each prompt finishes
  • Spend tile that shows what you actually pay first (your subscription, prorated to the range) with the API-equivalent cost underneath, or the API cost on top if you have no plan configured
  • Usage limits: Codex 5-hour and weekly windows as Codex reports them, plus rolling 5-hour and 7-day usage for every tool
  • Active sessions with a context-fill gauge, so you see compaction coming
  • Every prompt with its text, the turns it triggered, tokens, cost and duration, plus a resume command. Click any header to sort by date, tokens, cost, turns or duration
  • Cache-miss detector: turns where the cached prefix collapsed and had to be re-written, with the prompt that was in progress and what the re-write cost
  • Most expensive prompts, cost per git commit, cost mix by token type, and breakdowns by model, project and session
  • Budget alerts: set a daily or monthly cap and get a desktop notification when you cross it
  • Team mode: teammates export daily aggregates to one shared Tokenmeter and you filter by person
  • Menu bar widget for SwiftBar or xbar showing today's spend
  • Filters for time range, tool, project, model and user, kept in the URL so views are bookmarkable, plus CSV export and light and dark themes

How it works

Nothing is installed inside Claude Code or Codex. Both tools already save every conversation to a log file on your disk, and each model reply in that log includes how many tokens it used. Tokenmeter just reads those logs.

  1. Claude Code saves logs in ~/.claude/projects/, Codex in ~/.codex/sessions/, Copilot CLI in ~/.copilot/session-store.db.
  2. server.py reads every log once, pulls out each prompt and each model reply with its token counts, and keeps them in memory.
  3. It multiplies tokens by the prices in pricing.json to estimate cost.
  4. It serves a web page at http://127.0.0.1:7788. The page asks the server every 4 seconds if anything changed and redraws when it has.

When you send a new prompt, the tool appends to its log, Tokenmeter notices the file grew, re-reads that one file, and the new turn shows up. Only your machine is involved. Nothing is sent anywhere.

The /tokenmeter skill is just a shortcut that starts server.py and gives you the link.

Install

Any machine with Python 3.9 or newer. Pick one:

brew install serkankorkut/tap/tokenmeter
pipx install tokenmeter-dashboard
uvx tokenmeter-dashboard

Or, as a Claude Code plugin straight from GitHub:

claude plugin marketplace add serkankorkut/tokenmeter
claude plugin install tokenmeter@tokenmeter

Or clone and link, which also installs the Codex skill and the tokenmeter command:

git clone https://github.com/serkankorkut/tokenmeter ~/repo/tokenmeter
~/repo/tokenmeter/install.sh

With Homebrew you can keep it running in the background: brew services start tokenmeter.

Then in either tool:

/tokenmeter

or from a shell:

tokenmeter --open

Configuration

Everything lives in pricing.json next to server.py:

Key Purpose
model prefixes USD per million tokens: input, cache_read, cache_write_5m, cache_write_1h, output. Anthropic and OpenAI list prices are included
_plans What you pay per month per tool. Drives the Subscription spend tile
_budget daily and monthly caps in API-equivalent USD. Desktop notification once per period when exceeded
_context_windows Context size by model prefix, for the context-fill gauge

Environment and flags:

Setting Default Purpose
TOKENMETER_PORT / --port 7788 Listen port
--host 127.0.0.1 Bind address. Use 0.0.0.0 only for a team server
--open Open the browser after starting
--user NAME your login Name shown in team mode
--export URL Push your last 30 days to a team server every hour. Prompt text is never sent
TOKENMETER_TOKEN Shared secret for team ingest, sent as X-Tokenmeter-Token
CLAUDE_CONFIG_DIR, CODEX_HOME, COPILOT_DB ~/.claude, ~/.codex, ~/.copilot/session-store.db Where each tool keeps its logs
TOKENMETER_DIR ~/.tokenmeter Where team data is stored

What "% of tokens" means

In the model, project and session tables it is that row's share of all tokens in the current filter. It always sums to 100 percent across a table.

Limits

Codex writes its 5-hour and weekly quota usage into every session log, so Tokenmeter shows the real percentages and reset times, as of the last Codex turn. Anthropic does not write Claude plan usage to disk. If a Claude Code OAuth token is present in the macOS keychain Tokenmeter queries the usage endpoint; otherwise it shows rolling 5-hour and 7-day totals from the logs.

Team mode

On a shared machine: tokenmeter --host 0.0.0.0 with TOKENMETER_TOKEN set. On each laptop: tokenmeter --export http://that-host:7788 with the same token. The shared dashboard gains a user filter. Only token counts, models, project paths and timestamps travel; prompt text stays local.

Menu bar

Copy menubar/tokenmeter.1m.sh into your SwiftBar or xbar plugin folder. It shows today's spend and, on click, the 5-hour and monthly numbers.

API

Endpoint Returns
GET /api/usage All records, prompts, and metadata as JSON
GET /api/version Cheap change token, polled by the UI
GET /api/export.csv?since=ISO CSV of records
GET /api/summary Today, last 5 hours, month, projection, limits. Used by the menu bar widget
GET /api/commits Recent commits per repo, for cost-per-commit
POST /api/ingest Team mode receiver
GET /api/health {"ok": true, "app": "tokenmeter"}

Development

python3 test_server.py
python3 -m tokenmeter --open

Release: bump the version in pyproject.toml and tokenmeter/__init__.py, tag vX.Y.Z and push. The GitHub Action publishes to PyPI via trusted publishing. Then regenerate the Homebrew formula with release/brew-formula.sh > ../homebrew-tap/Formula/tokenmeter.rb.

Roadmap

  • Gemini CLI, Cursor agent and OpenCode parsers once their transcript formats are pinned down
  • Slack or email weekly digest
  • Windows notification support for budget alerts

License

MIT

Release files for tokenmeter-dashboard 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tokenmeter-dashboard 0.2.0
File Size Uploaded
tokenmeter_dashboard-0.2.0.tar.gz 30.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tokenmeter-dashboard 0.2.0
File Interpreter ABI Platform
tokenmeter_dashboard-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 58.4 kB

Release files / tokenmeter_dashboard-0.2.0.tar.gz

Download URL tokenmeter_dashboard-0.2.0.tar.gz
Size 30.2 kB
Tags Source
SHA-256 checksum
How to use checksums
7de4aa98e1217c509fa80e3af796497ed85b71b58a06ebc9822d9fa338dcf046
BLAKE2b-256 checksum
How to use checksums
870b2791d0c413a9e6a8f61d7e822da20bd775e1db63dc7c948213fb0fc30533
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / tokenmeter_dashboard-0.2.0-py3-none-any.whl

Download URL tokenmeter_dashboard-0.2.0-py3-none-any.whl
Size 28.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0c4346d6b76b24e0c1b35ae259297f5c0ce31f674be6574c96ee5d600e79d6c3
BLAKE2b-256 checksum
How to use checksums
24e94adf8ba25d6056ddbd1f0fadffa8ed636c7980a58588a5d7ee0fa71120b4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page