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  • Codex Live Token and Credit Monitor (Windows 11 + WSL Ubuntu)

    //

    Admin
    Codex Live Token and Credit Monitor

    A dependency-free terminal monitor that tails OpenAI Codex session .jsonl files and displays live input, cached-input, output, reasoning, total-token, estimated Codex-credit, and dollar-cost usage.

    I made this so I could monitor in real time my Codex costs, after getting a ‘bill’ shock on what I thought was a simple task 🙂

    1. Extract this folder somewhere under your Windows user profile.
    2. Double-click `run-monitor.cmd`, or run it from Command Prompt or PowerShell.

    The launcher passes this default session directory to WSL:

    ```text
    /mnt/c/Users/%USERNAME%/.codex/sessions
    ```

    Arguments can be added after the launcher name:

    ```bat
    run-monitor.cmd --scope today
    run-monitor.cmd --scope all --top 25
    run-monitor.cmd --refresh 0.5
    ```

    ## Credit and cost calculation

    The default purchase rate is configured as:

    ```text
    $20 per 500 credits = $0.04 per credit
    ```

    The monitor automatically converts input, cached-input, and output tokens into Codex credits using the model recorded in each session file. It then shows:

    - Total estimated credits represented by the selected session scope
    - Dollar-cost equivalent at $0.044 per credit
    - Percentage of a 500-credit pack represented by that usage
    - Credits and cost added since the monitor was started
    - Estimated credits for each displayed session

    No extra command-line options are needed for the $22/500 calculation:

    ```bat
    run-monitor.cmd
    ```

    Use a different pack price or size when required:

    ```bat
    run-monitor.cmd --credit-pack-cost 40 --credit-pack-size 1000
    ```

    If a JSONL file does not contain a recognised model name, force the model used for all displayed sessions:

    ```bat
    run-monitor.cmd --credit-model gpt-5.4
    run-monitor.cmd --credit-model gpt-5.3-codex
    run-monitor.cmd --credit-model gpt-5.6-terra
    ```

    You can also supply custom credit rates per one million tokens:

    ```bat
    run-monitor.cmd ^
      --credit-input-rate 62.5 ^
      --credit-cached-input-rate 6.25 ^
      --credit-output-rate 375
    ```

    ### Important credit limitation

    The session JSONL files record token activity, not your live ChatGPT credit balance or whether a task was covered by included plan usage. The displayed credits and dollar amount are therefore the **credit-equivalent estimate** for the recorded tokens. Purchased credits are generally drawn only after included plan limits are reached.

    Fast-mode usage can have a higher credit rate. If the session file does not expose enough information to identify that higher rate, use the custom credit-rate options above.

    ## Run directly inside WSL Ubuntu

    ```bash
    cd /mnt/c/path/to/codex-live-token-monitor
    python3 codex_token_monitor.py
    ```

    The script auto-detects both:

    ```text
    ~/.codex/sessions
    /mnt/c/Users/*/.codex/sessions
    ```

    Use an explicit path when needed:

    ```bash
    python3 codex_token_monitor.py \
      --root /mnt/c/Users/steve/.codex/sessions
    ```

    ## Optional install command

    From inside WSL:

    ```bash
    cd /mnt/c/path/to/codex-live-token-monitor
    ./install-wsl.sh
    codex-tokens
    ```

    ## Scope options

    - `--scope latest` watches the newest session only. This is the default and is best for live use.
    - `--scope today` aggregates session files modified today.
    - `--scope all` aggregates every JSONL session file below the root. Initial loading can be slower.

    ## Optional separate API-cost estimate

    The credit estimate is enabled automatically. A separate API-price estimate can also be displayed by supplying dollar prices per one million tokens:

    ```bash
    codex-tokens \
      --input-rate 1.25 \
      --cached-input-rate 0.125 \
      --output-rate 10.00
    ```

    Reasoning tokens are shown separately for visibility but are not billed a second time by either calculation; they are normally included within output tokens.

    ## Useful commands

    ```bash
    # Print one snapshot and exit
    codex-tokens --once

    # Show today's sessions
    codex-tokens --scope today

    # Show all known sessions
    codex-tokens --scope all --top 25

    # Refresh twice per second
    codex-tokens --refresh 0.5

    # Use a forced model when auto-detection fails
    codex-tokens --credit-model gpt-5.4

    # Full help
    codex-tokens --help
    ```

    Press `Ctrl+C` to stop the live monitor.

    Download Codex Monitor Zip File

    codex-live-token-monitorDownload

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