Soju06

    Soju06/codex-lb

    Codex/ChatGPT multiple account load balancer & proxy with usage tracking, dashboard, and OpenCode-compatible endpoints

    ai
    analytics
    backend
    networking
    authentication
    api-proxy
    chatgpt
    codex
    dashboard
    fastapi
    Python
    MIT
    3.4K stars
    548 forks
    3.4K GitHub watchers
    Updated Nov 3, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 50 days ago, with 124 contributors on GitHub.

    Use Cases & Benefits

    • Implements a load balancer and proxy for multiple ChatGPT/Codex accounts with usage tracking and a management dashboard.
    • Enables efficient distribution of API requests across accounts with detailed usage metrics and OpenAI-compatible endpoints for seamless integration.
    • Use for managing multiple ChatGPT API keys to optimize quota usage and avoid rate limits in high-demand applications.
    • Use for integrating Codex/ChatGPT services into custom clients or tools requiring OpenAI-compatible API endpoints with usage monitoring.
    • Use for deploying a self-hosted proxy with dashboard authentication to securely control and audit AI API access in team environments.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Load balancer for ChatGPT accounts. Pool multiple accounts, track usage, manage API keys, view everything in a dashboard.

    The dashboard setting Routing strategy controls how eligible accounts are selected for each request. No strategy can guarantee account-safety outcomes; conservative use still depends on staying within OpenAI terms, using normal request volumes, and avoiding traffic patterns that would be unusual for your accounts.

    For low-volume, policy-compliant personal use, start with Capacity weighted or Relative availability and keep sticky threads enabled. Those strategies preserve session locality while avoiding sudden all-traffic shifts to a single account.

    Excerpt from the Soju06/codex-lb README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 7: +14

    +661 stars over 80 days across 8 snapshot days; best day +14 on Sep 7.

    Forks

    548+138

    Open issues

    284+184

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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