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

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    Readme

    Vibe Coding Tracker — AI Coding Assistant Usage Tracker

    Crates.io Crates.io Downloads npm version npm downloads rust tests code-quality license PRs

    Track your AI coding costs in real-time. Vibe Coding Tracker is a powerful CLI tool that helps you monitor and analyze your Claude Code, Codex, and Gemini usage, providing detailed cost breakdowns, token statistics, and code operation insights.

    English | 繁體中文 | 简体中文

    Note: CLI examples use the short alias vct. If you built from source, the compiled binary is named vibe_coding_tracker; create an alias or replace vct with the full name when running commands.


    🎯 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.

    📊 Beautiful Visualizations

    Choose your preferred view:

    • Interactive Dashboard: Auto-refreshing terminal UI with live updates
    • 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, and Gemini. No setup required—just run and analyze.

    🎨 Rich Insights

    • Token usage by model and date
    • Cost breakdown by cache types
    • File operations tracking
    • Command execution history
    • Git repository information

    ✨ Key Features

    Feature Description
    🤖 Auto-Detection Intelligently identifies Claude Code, Codex, or Gemini logs
    💵 Smart Pricing Fuzzy model matching + daily cache for speed
    🎨 4 Display Modes Interactive, Table, Text, and JSON outputs
    📈 Comprehensive Stats Tokens, costs, file ops, and tool calls
    High Performance Built with Rust for speed and reliability
    🔄 Live Updates Real-time dashboard refreshes every second
    💾 Efficient Caching Smart daily cache reduces API calls

    🚀 Quick Start

    Installation

    Prerequisites:

    Choose any of the following package names (all 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

    All packages include pre-compiled binaries for your platform - no build step required!

    From Source

    # Clone and build
    git clone https://github.com/Mai0313/VibeCodingTracker.git
    cd VibeCodingTracker
    cargo build --release
    
    # Binary location
    ./target/release/vibe_coding_tracker
    
    # Optional: create a short alias (adjust the paths as needed)
    ln -sf "$(pwd)/target/release/vibe_coding_tracker" ~/.local/bin/vct

    First Run

    # View your usage with the short alias (if available)
    vct usage
    
    # Or run the binary built by Cargo
    ./target/release/vibe_coding_tracker usage
    
    # Analyze a specific conversation
    ./target/release/vibe_coding_tracker analysis --path ~/.claude/projects/session.jsonl

    💡 Tip: Use vct as a short alias for vibe_coding_tracker to save typing—create it manually with ln -sf ./target/release/vibe_coding_tracker ~/.local/bin/vct (or any path you prefer).


    📖 Command Guide

    🔍 Quick Reference

    vct <COMMAND> [OPTIONS]
    # Replace with `vibe_coding_tracker` if you are using the full binary name
    
    Commands:
    usage       Show token usage and costs (default: interactive)
    analysis    Analyze conversation files and export data
    version     Display version information
    update      Update to the latest version from GitHub releases
    help        Show help information

    💰 Usage Command

    Track your spending across all AI coding sessions.

    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
    vct usage --json

    What You Get

    The tool scans these directories automatically:

    • ~/.claude/projects/*.jsonl (Claude Code)
    • ~/.codex/sessions/*.jsonl (Codex)
    • ~/.gemini/tmp/<project_hash>/chats/*.json (Gemini)

    🎨 Interactive Mode (Default)

    Live dashboard that updates every second

    ┌──────────────────────────────────────────────────────────────────┐
    │                  📊 Token Usage Statistics                       │
    └──────────────────────────────────────────────────────────────────┘
    ┌────────────┬──────────────────────┬────────────┬────────────┬────────────┬──────────────┬────────────┬────────────┐
    │ Date       │ Model                │ Input      │ Output     │ Cache Read │ Cache Create │ Total      │ Cost (USD) │
    ├────────────┼──────────────────────┼────────────┼────────────┼────────────┼──────────────┼────────────┼────────────┤
    │ 2025-10-01 │ claude-sonnet-4-20…  │ 45,230     │ 12,450     │ 230,500    │ 50,000       │ 338,180    │ $2.15      │
    │ 2025-10-02 │ claude-sonnet-4-20…  │ 32,100     │ 8,920      │ 180,000    │ 30,000       │ 251,020    │ $1.58      │
    │ 2025-10-03 │ claude-sonnet-4-20…  │ 28,500     │ 7,200      │ 150,000    │ 25,000       │ 210,700    │ $1.32      │
    │ 2025-10-03 │ gpt-4-turbo          │ 15,000     │ 5,000      │ 0          │ 0            │ 20,000     │ $0.25      │
    │            │ TOTAL                │ 120,830    │ 33,570     │ 560,500    │ 105,000      │ 819,900    │ $5.30      │
    └────────────┴──────────────────────┴────────────┴────────────┴────────────┴──────────────┴────────────┴────────────┘
    ┌──────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
    │ 💰 Total Cost: $5.30  |  🔢 Total Tokens: 819,900  |  📅 Entries: 4  |  🧠 Memory: 12.5 MB                       │
    └──────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
    ┌──────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
    │                                            📈 Daily Averages                                                      │
    │                                                                                                                   │
    │  Claude Code: 266,667 tokens/day  |  $1.68/day                                                                   │
    │  Codex: 20,000 tokens/day  |  $0.25/day                                                                          │
    │  Overall: 204,975 tokens/day  |  $1.33/day                                                                       │
    └──────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
    
    Press 'q', 'Esc', or 'Ctrl+C' to quit

    Features:

    • ✨ Auto-refreshes every second
    • 🎯 Highlights today's entries
    • 🔄 Shows recently updated rows
    • 💾 Displays memory usage
    • 📊 Summary statistics
    • 📈 Daily averages by provider (Claude Code, Codex, Gemini)

    Controls: Press q, Esc, or Ctrl+C to exit

    📋 Static Table Mode

    Perfect for documentation and reports

    vct usage --table
    📊 Token Usage Statistics
    
    ╔════════════╦══════════════════════╦════════════╦════════════╦════════════╦══════════════╦══════════════╦════════════╗
    ║ Date       ║ Model                ║ Input      ║ Output     ║ Cache Read ║ Cache Create ║ Total Tokens ║ Cost (USD) ║
    ╠════════════╬══════════════════════╬════════════╬════════════╬════════════╬══════════════╬══════════════╬════════════╣
    ║ 2025-10-01 ║ claude-sonnet-4-20…  ║ 45,230     ║ 12,450     ║ 230,500    ║ 50,000       ║ 338,180      ║ $2.15      ║
    ║ 2025-10-02 ║ claude-sonnet-4-20…  ║ 32,100     ║ 8,920      ║ 180,000    ║ 30,000       ║ 251,020      ║ $1.58      ║
    ║ 2025-10-03 ║ claude-sonnet-4-20…  ║ 28,500     ║ 7,200      ║ 150,000    ║ 25,000       ║ 210,700      ║ $1.32      ║
    ║ 2025-10-03 ║ gpt-4-turbo          ║ 15,000     ║ 5,000      ║ 0          ║ 0            ║ 20,000       ║ $0.25      ║
    ║            ║ TOTAL                ║ 120,830    ║ 33,570     ║ 560,500    ║ 105,000      ║ 819,900      ║ $5.30      ║
    ╚════════════╩══════════════════════╩════════════╩════════════╩════════════╩══════════════╩══════════════╩════════════╝
    
    📈 Daily Averages (by Provider)
    
    ╔═════════════╦════════════════╦══════════════╦══════╗
    ║ Provider    ║ Avg Tokens/Day ║ Avg Cost/Day ║ Days ║
    ╠═════════════╬════════════════╬══════════════╬══════╣
    ║ Claude Code ║ 266,667        ║ $1.68        ║ 3    ║
    ╠═════════════╬════════════════╬══════════════╬══════╣
    ║ Codex       ║ 20,000         ║ $0.25        ║ 1    ║
    ╠═════════════╬════════════════╬══════════════╬══════╣
    ║ OVERALL     ║ 204,975        ║ $1.33        ║ 4    ║
    ╚═════════════╩════════════════╩══════════════╩══════╝

    📝 Text Mode

    Ideal for scripting and parsing

    vct usage --text
    2025-10-01 > claude-sonnet-4-20250514: $2.154230
    2025-10-02 > claude-sonnet-4-20250514: $1.583450
    2025-10-03 > claude-sonnet-4-20250514: $1.321200
    2025-10-03 > gpt-4-turbo: $0.250000

    🗂️ JSON Mode

    Full precision for accounting and integration

    vct usage --json
    {
      "2025-10-01": [
        {
          "model": "claude-sonnet-4-20250514",
          "usage": {
            "input_tokens": 45230,
            "output_tokens": 12450,
            "cache_read_input_tokens": 230500,
            "cache_creation_input_tokens": 50000,
            "cache_creation": {
              "ephemeral_5m_input_tokens": 50000
            },
            "service_tier": "standard"
          },
          "cost_usd": 2.1542304567890125
        }
      ]
    }

    🔍 Output Comparison

    Feature Interactive Table Text JSON
    Best For Monitoring Reports Scripts Integration
    Cost Format $2.15 $2.15 $2.154230 2.1542304567890123
    Updates Real-time Static Static Static
    Colors
    Parseable

    💡 Use Cases

    • Budget Tracking: Monitor your daily AI spending
    • Cost Optimization: Identify expensive sessions
    • Team Reporting: Generate usage reports for management
    • Billing: Export precise costs for invoicing
    • Monitoring: Real-time dashboard for active development

    📊 Analysis Command

    Deep dive into conversation files - single file or batch analysis.

    Basic Usage

    # Single file: Analyze and display
    vct analysis --path ~/.claude/projects/session.jsonl
    
    # Single file: Save to file
    vct analysis --path ~/.claude/projects/session.jsonl --output report.json
    
    # Batch: Analyze all sessions with interactive table (default)
    vct analysis
    
    # Batch: Save aggregated results to JSON
    vct analysis --output batch_report.json
    
    # Batch with provider grouping: Output complete records grouped by provider (JSON format)
    vct analysis --all
    
    # Save the grouped results to a file
    vct analysis --all --output grouped_report.json

    What You Get

    Single File Analysis:

    • Token Usage: Input, output, and cache statistics by model
    • File Operations: Every read, write, and edit with full details
    • Command History: All shell commands executed
    • Tool Usage: Counts of each tool type used
    • Metadata: User, machine ID, Git repo, timestamps

    Batch Analysis:

    • Aggregated Metrics: Grouped by date and model
    • Line Counts: Edit, read, and write operations
    • Tool Statistics: Bash, Edit, Read, TodoWrite, Write counts
    • Interactive Display: Real-time TUI table (default)
    • JSON Export: Structured data for further processing

    Sample Output - Single File

    {
      "extensionName": "Claude-Code",
      "insightsVersion": "0.1.0",
      "user": "wei",
      "machineId": "5b0dfa41ada84d5180a514698f67bd80",
      "records": [
        {
          "conversationUsage": {
            "claude-sonnet-4-20250514": {
              "input_tokens": 252,
              "output_tokens": 3921,
              "cache_read_input_tokens": 1298818,
              "cache_creation_input_tokens": 124169
            }
          },
          "toolCallCounts": {
            "Read": 15,
            "Write": 4,
            "Edit": 2,
            "Bash": 5,
            "TodoWrite": 3
          },
          "totalUniqueFiles": 8,
          "totalWriteLines": 80,
          "totalReadLines": 120,
          "folderPath": "/home/wei/repo/project",
          "gitRemoteUrl": "https://github.com/user/project.git"
        }
      ]
    }

    Sample Output - Batch Analysis

    Interactive Table (default when running vct analysis):

    ┌──────────────────────────────────────────────────────────────────┐
    │                  🔍 Analysis Statistics                           │
    └──────────────────────────────────────────────────────────────────┘
    ┌────────────┬────────────────────┬────────────┬────────────┬────────────┬──────┬──────┬──────┬───────────┬───────┐
    │ Date       │ Model              │ Edit Lines │ Read Lines │ Write Lines│ Bash │ Edit │ Read │ TodoWrite │ Write │
    ├────────────┼────────────────────┼────────────┼────────────┼────────────┼──────┼──────┼──────┼───────────┼───────┤
    │ 2025-10-02 │ claude-sonnet-4-5…│ 901        │ 11,525     │ 53         │ 13   │ 26   │ 27   │ 10        │ 1     │
    │ 2025-10-03 │ claude-sonnet-4-5…│ 574        │ 10,057     │ 1,415      │ 53   │ 87   │ 78   │ 30        │ 8     │
    │ 2025-10-03 │ gpt-5-codex        │ 0          │ 1,323      │ 0          │ 75   │ 0    │ 20   │ 0         │ 0     │
    │            │ TOTAL              │ 1,475      │ 22,905     │ 1,468      │ 141  │ 113  │ 125  │ 40        │ 9     │
    └────────────┴────────────────────┴────────────┴────────────┴────────────┴──────┴──────┴──────┴───────────┴───────┘
    ┌────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
    │ 📝 Total Lines: 25,848  |  🔧 Total Tools: 428  |  📅 Entries: 3  |  🧠 Memory: 8.2 MB                         │
    └────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
    
    Press 'q', 'Esc', or 'Ctrl+C' to quit

    JSON Export (with --output):

    [
      {
        "date": "2025-10-02",
        "model": "claude-sonnet-4-5-20250929",
        "editLines": 901,
        "readLines": 11525,
        "writeLines": 53,
        "bashCount": 13,
        "editCount": 26,
        "readCount": 27,
        "todoWriteCount": 10,
        "writeCount": 1
      },
      {
        "date": "2025-10-03",
        "model": "claude-sonnet-4-5-20250929",
        "editLines": 574,
        "readLines": 10057,
        "writeLines": 1415,
        "bashCount": 53,
        "editCount": 87,
        "readCount": 78,
        "todoWriteCount": 30,
        "writeCount": 8
      }
    ]

    💡 Use Cases

    Single File Analysis:

    • Usage Auditing: Track what the AI did in each session
    • Cost Attribution: Calculate costs per project or feature
    • Compliance: Export detailed activity logs
    • Analysis: Understand coding patterns and tool usage

    Batch Analysis:

    • Productivity Tracking: Monitor coding activity over time
    • Tool Usage Patterns: Identify most-used tools across sessions
    • Model Comparison: Compare efficiency between different AI models
    • Historical Analysis: Track trends in code operations by date

    🔧 Version Command

    Check your installation.

    # Formatted output
    vct version
    
    # JSON format
    vct version --json
    
    # Plain text
    vct version --text

    Output

    🚀 Vibe Coding Tracker
    
    ╔════════════════╦═════════╗
    ║ Version        ║ 0.1.0   ║
    ╠════════════════╬═════════╣
    ║ Rust Version   ║ 1.89.0  ║
    ╠════════════════╬═════════╣
    ║ Cargo Version  ║ 1.89.0  ║
    ╚════════════════╩═════════╝

    🔄 Update Command

    Keep your installation up-to-date automatically.

    The update command checks GitHub releases and downloads the latest version for your platform.

    Basic Usage

    # Interactive update with confirmation
    vct update
    
    # Check for updates without installing
    vct update --check
    
    # Force update without confirmation prompt
    vct update --force

    How It Works

    1. Check Latest Version: Fetches the latest release from GitHub API
    2. Compare Versions: Compares current version with the latest available
    3. Download Binary: Downloads the appropriate binary for your platform (Linux/macOS/Windows)
    4. Smart Replacement:
      • Linux/macOS: Automatically replaces the binary (backs up old version to .old)
      • Windows: Downloads as .new and creates a batch script for safe replacement

    Platform Support

    The update command automatically detects your platform and downloads the correct archive:

    • Linux: vibe_coding_tracker-v{version}-linux-x64-gnu.tar.gz, vibe_coding_tracker-v{version}-linux-arm64-gnu.tar.gz
    • macOS: vibe_coding_tracker-v{version}-macos-x64.tar.gz, vibe_coding_tracker-v{version}-macos-arm64.tar.gz
    • Windows: vibe_coding_tracker-v{version}-windows-x64.zip, vibe_coding_tracker-v{version}-windows-arm64.zip

    Windows Update Process

    On Windows, the binary cannot be replaced while running. The update command:

    1. Downloads the new version as vct.new
    2. Creates an update script (update_vct.bat)
    3. Displays instructions to complete the update

    Run the batch script after closing the application to finish the update.


    💡 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

    Cost Calculation

    Total Cost = (Input Tokens × Input Cost) +
                 (Output Tokens × Output Cost) +
                 (Cache Read × Cache Read Cost) +
                 (Cache Creation × Cache Creation Cost)

    🐳 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 ~/.gemini:/root/.gemini \
        vibe_coding_tracker:latest usage

    🔍 Troubleshooting

    Pricing Data Not Loading

    # Check cache
    ls -la ~/.vibe-coding-tracker/
    
    # Force refresh
    rm -rf ~/.vibe-coding-tracker/
    vct usage
    
    # Debug mode
    RUST_LOG=debug vct usage

    No Usage Data Shown

    # Verify session directories
    ls -la ~/.claude/projects/
    ls -la ~/.codex/sessions/
    ls -la ~/.gemini/tmp/
    
    # Count session files
    find ~/.claude/projects -name "*.jsonl" | wc -l
    find ~/.codex/sessions -name "*.jsonl" | wc -l
    find ~/.gemini/tmp -name "*.json" | wc -l

    Analysis Command Fails

    # Validate JSONL format
    jq empty < your-file.jsonl
    
    # Check file permissions
    ls -la your-file.jsonl
    
    # Run with debug output
    RUST_LOG=debug vct analysis --path your-file.jsonl

    Interactive Mode Issues

    # Reset terminal if broken
    reset
    
    # Check terminal type
    echo $TERM  # Should be xterm-256color or compatible
    
    # Use static table as fallback
    vct usage --table

    ⚡ Performance

    Built with Rust for speed and reliability:

    Operation Time
    Parse 10MB JSONL ~320ms
    Analyze 1000 events ~45ms
    Load cached pricing ~2ms
    Interactive refresh ~30ms

    Binary Size: ~3-5 MB (stripped)


    📚 Learn More


    🤝 Contributing

    Contributions welcome! Here's how:

    1. Fork the repository
    2. Create your feature branch
    3. Make your changes
    4. Submit a pull request

    For development setup and guidelines, see .github/copilot-instructions.md.


    📄 License

    MIT License - see LICENSE for details.


    🙏 Credits

    • LiteLLM for model pricing data
    • Claude Code, Codex, and Gemini teams for creating amazing AI coding assistants
    • The Rust community for excellent tooling

    Save money. Track usage. Code smarter.

    ⭐ Star this project if you find it useful!

    Made with 🦀 Rust