Skip to main content

Vibe Coding Tracker - AI coding assistant telemetry/usage parser, aggregate JSONL events into CodeAnalysis results

Project description

Vibe Coding Tracker — AI Coding Assistant Usage Tracker

Vibe Coding Tracker social preview

Crates.io Crates.io Downloads npm version npm downloads PyPI version PyPI downloads rust tests code-quality license Star on GitHub PRs

Track your AI coding costs in real-time. Vibe Coding Tracker is a lightweight, high-performance CLI tool built in Rust that monitors and analyzes your Claude Code, Codex, Copilot, Gemini, and OpenCode usage — with detailed cost breakdowns, token statistics, and code operation insights, all while keeping the memory footprint minimal.

English | 繁體中文 | 简体中文

Note: CLI examples use the short alias vct. If you installed via npm/pip/cargo, the binary might be named vibe_coding_tracker or vct. Create an alias or replace vct with the full name when running commands if needed.


Why Vibe Coding Tracker?

Know Your Costs

Stop wondering how much your AI coding sessions cost. Get real-time cost tracking with automatic pricing updates from LiteLLM.

Ultra-Lightweight

Built with Rust for minimal resource footprint. The interactive TUI dashboard typically sits at under ~50 MB of resident memory once the first refresh is done, even with hundreds of long-context sessions on disk — no Electron, no bloated runtimes. The usage path parses each session file in a lean usage-only mode and bypasses the cache, and we tune glibc's arena count at startup to keep long-running RSS honest.

Beautiful Visualizations

Choose your preferred view:

  • Interactive Dashboard: Auto-refreshing terminal UI with live updates, scrollable model list (arrow keys), and compact K/M/B number formatting
  • Static Reports: Professional tables for documentation
  • Script-Friendly: Plain text and JSON for automation
  • Full Precision: Export exact costs for accounting

Zero Configuration

Automatically detects and processes logs from Claude Code, Codex, Copilot, Gemini, and OpenCode. No setup required — just run and analyze.

Rich Insights

  • Token usage by model and date
  • Cost breakdown by cache types (read / create)
  • File operations tracking (edit, read, write lines)
  • Tool call history (Bash, Edit, Read, Write, TodoWrite)
  • Per-provider totals

Key Features

Feature Description
Multi-Provider Claude Code, Codex, Copilot, and Gemini — all in one place
Smart Pricing Fuzzy model matching + daily cache from LiteLLM
4 Display Modes Interactive TUI, static table, plain text, and JSON
Dual Analysis Token/cost stats (usage) + code operation stats (analysis)
Ultra-Lightweight Under ~50 MB RSS in the TUI, streaming JSONL parse — built with Rust
Live Updates Real-time dashboard refreshes every second
Efficient Caching Smart daily cache reduces API calls

Quick Start

Installation

Choose the installation method that works best for you:

Developers: If you want to build from source or contribute to development, please see CONTRIBUTING.md.

Method 1: Install from npm

Prerequisites: Node.js v22 or higher

Choose one of the following package names (they are identical):

# Main package
npm install -g vibe-coding-tracker

# Short alias with scope
npm install -g @mai0313/vct

# Full name with scope
npm install -g @mai0313/vibe-coding-tracker

Method 2: Install from PyPI

Prerequisites: Python 3.8 or higher

pip install vibe_coding_tracker
# Or with uv
uv pip install vibe_coding_tracker

Method 3: Install from crates.io

Install using Cargo from the official Rust package registry:

cargo install vibe_coding_tracker

First Run

# View your usage with the interactive dashboard
vct usage

# Or run the binary built by Cargo/pip
vibe_coding_tracker usage

# Analyze code operations across all sessions
vct analysis

Command Guide

Quick Reference

vct <COMMAND> [OPTIONS]
# Replace with `vibe_coding_tracker` if you are using the full binary name

Commands:
  analysis    Analyze JSONL conversation files (single file or all sessions)
  usage       Display token usage statistics
  version     Display version information
  update      Update to the latest version from GitHub releases
  help        Print this message or the help of the given subcommand(s)

Time range flags (shared by usage and analysis, mutually exclusive, default --all):

Flag Window
--daily Sessions modified today
--weekly Current ISO week (Monday → today)
--monthly Current calendar month
-a, --all Every session on disk (default)

Usage Command

Track your spending across all AI coding sessions.

Flags

Flag Purpose
(none) Interactive TUI dashboard (default)
--table Static table, no TUI
--text Plain text, script-friendly
--json JSON with enriched pricing metadata
--output <FILE> Save enriched JSON to a file
--daily / --weekly / --monthly / --all Time range filter (see table above)

Basic Usage

# Interactive dashboard (recommended)
vct usage

# Static table for reports
vct usage --table

# Plain text for scripts
vct usage --text

# JSON for data processing (includes cost_usd and matched_model fields)
vct usage --json

# Save enriched JSON straight to a file
vct usage --output report.json

# Combine time range with output format
vct usage --weekly
vct usage --table --monthly
vct usage --json --daily

[!NOTE] Model rows are sorted by cost in ascending order, so the highest-spending model is listed last (right above the TOTAL row in --table). This applies to the interactive dashboard, --table, and --text output; --json preserves the same order. The interactive dashboard also hides models with zero usage in the selected range.

Preview: Interactive Dashboard (vct usage)

┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│ Model                         Input   Output  Cache Read  Cache Write    Total  Cost (USD)  │
│                                                                                             │
│ gemini-3.1-pro-preview         129K    10.3K       67.4K            0     207K       $0.40  │
│ claude-haiku-4-5-20251001     5.57K    19.8K       4.63M         620K    5.27M       $1.34  │
│ claude-opus-4-6               25.7K     179K       40.8M        2.57M    43.6M      $77.59  │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│ Provider                      Tokens      Cost   Active Days                                │
│                                                                                             │
│ Claude Code                    48.9M    $78.93             3                                │
│ Gemini                          207K     $0.40             1                                │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│  Total Cost: $79.33  |  Total Tokens: 49.3M  |  Models: 3  |  Memory: 42.8 MB               │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
  ↑/↓ scroll  PgUp/PgDn page  g/G top/end  r refresh  q quit  |  ★ github.com/Mai0313/VibeCodingTracker

What It Scans

The tool automatically scans these directories:

  • ~/.claude/projects/**/*.jsonl (Claude Code — recursive, includes subagent logs)
  • ~/.codex/sessions/**/*.jsonl (Codex — recursive, includes daily subdirectories)
  • ~/.copilot/session-state/<sessionId>/events.jsonl (Copilot CLI)
  • ~/.gemini/tmp/<project_hash>/chats/*.jsonl (Gemini CLI)
  • ~/.local/share/opencode/opencode.db (OpenCode — SQLite database; honors $XDG_DATA_HOME)

Live Quota Panels

vct usage shows live remaining quota for Claude Code and Codex right in the dashboard — with zero setup. No status-line hook, no config file: vct reads each provider's own OAuth credentials, calls its usage API on a background thread, and keeps the panels current while you work.

┌ Provider/Tokens/Cost/Days ┬ Claude ────────┬ Codex ──────────┐
│ Claude    1.2M  $3.00  4d │ 5h ▰▰▱▱▱  16%  │ Plan: plus      │
│ Codex      800K $0.00  6d │    ↻ 4h13m     │ 5h ▰▰▱▱▱  27%   │
│ ...                       │ 7d ▰▰▰▱▱  28%  │ 7d ▱▱▱▱▱   4%   │
│                           │ updated 2m ago │ Credits: 0  +2  │
└───────────────────────────┴────────────────┴─────────────────┘
  • Claude — 5-hour and weekly usage from the official OAuth usage API (GET /api/oauth/usage), read from ~/.claude/.credentials.json.
  • Codex — plan tier, 5-hour and weekly usage, and credit balance from the ChatGPT backend (wham/usage) using ~/.codex/auth.json; falls back to the newest rate_limits in your Codex session logs when the API is unavailable (the title shows Codex vs Codex (session)).

Automatic token refresh. For both providers, when a token is near expiry or rejected, vct refreshes it and writes the new token back to the provider's own credential file (in that CLI's exact format), so a token is reused across checks rather than refreshed every time. If a refresh cannot proceed, the panel shows a run: <provider> auth login hint instead of breaking.

A panel appears only for a provider whose credentials are present. Quota panels appear only in the interactive TUI; --table, --text, and --json are unchanged.

Platform note: on macOS, Claude Code stores its OAuth credentials in the system Keychain rather than ~/.claude/.credentials.json, so the Claude panel is not shown on macOS.


Analysis Command

Deep dive into code operations — see exactly what your AI assistant did.

Flags

Flag Purpose
(none) Interactive TUI dashboard over all sessions
--path <FILE> Analyze a single JSONL/JSON conversation file (prints JSON)
--table Static table with per-provider totals
--text Plain text, script-friendly
--json JSON array of aggregated rows printed to stdout
--output <FILE> Save results as pretty-printed JSON
--daily / --weekly / --monthly / --all Time range filter (see table above)

See examples/ for sample inputs and matching JSON outputs for all four providers.

Basic Usage

# Interactive dashboard for all sessions (default)
vct analysis

# Static table output with per-provider totals
vct analysis --table

# Plain text for scripts
vct analysis --text

# JSON of aggregated rows for data processing
vct analysis --json

# Analyze a single conversation file → stdout JSON
vct analysis --path ~/.claude/projects/session.jsonl

# Save results to JSON
vct analysis --output report.json

# Combine time range with output format
vct analysis --weekly
vct analysis --table --monthly
vct analysis --json --daily
vct analysis --output today.json --daily

Preview: Interactive Dashboard (vct analysis)

┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│ Model                     Edit Lines  Read Lines Write Lines  Bash  Edit  Read  Write       │
│                                                                                             │
│ claude-haiku-4-5-20251001           0           0           0    43     0    59      0      │
│ claude-opus-4-6                1.28K       13.3K       1.58K    82   146   209     62       │
│ gemini-3.1-pro-preview             0           0           0     0     0     0      0       │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│ Provider        Edit Lines Read Lines Write Lines Bash Edit Read TodoWrite Write Days       │
│                                                                                             │
│ Claude Code          1.28K      13.3K       1.58K  125  146  268        18    62    3       │
│ Gemini                   0          0           0    0    0    0         0     0    1       │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────────────────────┐
│  Total Lines: 16.1K  |  Total Tools: 619  |  Models: 3  |  Memory: 41.2 MB                  │
└─────────────────────────────────────────────────────────────────────────────────────────────┘
  ↑/↓ scroll  PgUp/PgDn page  g/G top/end  r refresh  q quit  |  ★ github.com/Mai0313/VibeCodingTracker

Update Command

Keep your installation up-to-date automatically.

The update command works for all installation methods (npm/pip/cargo/manual) by directly downloading and replacing the binary from GitHub releases.

Basic Usage

# Check for updates
vct update --check

# Interactive update with confirmation
vct update

# Force update — always downloads latest version
vct update --force

Preview (vct update --check)

Current version: v0.10.3
Checking for latest release...
Latest version: v0.10.3 — you are up to date!

Version Command

Report the embedded build metadata (binary version, Rust toolchain, Cargo version):

vct version          # Pretty table
vct version --text   # One-field-per-line, script-friendly
vct version --json   # Machine-readable JSON

The binary version is produced at build time by build.rs from git describe, so development builds include commit count + short SHA + dirty suffix when applicable.


Smart Pricing System

How It Works

  1. Automatic Updates: Fetches pricing from LiteLLM daily
  2. Smart Caching: Stores pricing in ~/.vibe_coding_tracker/ for 24 hours
  3. Fuzzy Matching: Finds best match even for custom model names
  4. Always Accurate: Ensures you get the latest pricing

Model Matching

Priority Order:

  1. Exact Match: claude-sonnet-4claude-sonnet-4
  2. Normalized: claude-sonnet-4-20250514claude-sonnet-4
  3. Substring: custom-gpt-4gpt-4
  4. Fuzzy (AI-powered): Uses Jaro-Winkler similarity (70% threshold)
  5. Fallback: Shows $0.00 if no match found

Docker Support

# Build image
docker build -f docker/Dockerfile --target prod -t vibe_coding_tracker:latest .

# Run with your sessions
docker run --rm \
    -v ~/.claude:/root/.claude \
    -v ~/.codex:/root/.codex \
    -v ~/.copilot:/root/.copilot \
    -v ~/.gemini:/root/.gemini \
    -v ~/.local/share/opencode:/root/.local/share/opencode \
    vibe_coding_tracker:latest usage

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vibe_coding_tracker-1.0.0.tar.gz (27.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vibe_coding_tracker-1.0.0-py3-none-any.whl (27.4 MB view details)

Uploaded Python 3

File details

Details for the file vibe_coding_tracker-1.0.0.tar.gz.

File metadata

  • Download URL: vibe_coding_tracker-1.0.0.tar.gz
  • Upload date:
  • Size: 27.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for vibe_coding_tracker-1.0.0.tar.gz
Algorithm Hash digest
SHA256 9888200a75e3fc05c5faf7c92c711081664606fc02b5923099c6c399c3358917
MD5 e9b277ca6d947d347fd9431b9dc4daa3
BLAKE2b-256 09d710c6040f4a46ad735eb1b51e453a17f211ee9185479926d1d8e8a46bf2ef

See more details on using hashes here.

File details

Details for the file vibe_coding_tracker-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: vibe_coding_tracker-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 27.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for vibe_coding_tracker-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 354e506875f8f97cf4105d0f6908c53b1599e93c8e45d687a32d45920c7cf2f4
MD5 647572aac720fd491fb9d0fab2eb9e99
BLAKE2b-256 df7c246e044f4a2f495f9eedb0b2f6c8aa0d5e7e7cb57662c42787f379784969

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page