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Codex load balancer and proxy for ChatGPT accounts with usage dashboard

Project description

codex-lb

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

dashboard accounts
More screenshots
Settings Login
settings login
Dashboard (dark) Accounts (dark) Settings (dark)
dashboard-dark accounts-dark settings-dark

Features

Account Pooling
Load balance across multiple ChatGPT accounts
Usage Tracking
Per-account tokens, cost, 28-day trends
API Keys
Per-key rate limits by token, cost, window, model
Dashboard Auth
Password + optional TOTP
OpenAI-compatible
Codex CLI, OpenCode, any OpenAI client
Auto Model Sync
Available models fetched from upstream

Quick Start

# Docker (recommended)
docker volume create codex-lb-data
docker run -d --name codex-lb \
  -p 2455:2455 -p 1455:1455 \
  -v codex-lb-data:/var/lib/codex-lb \
  ghcr.io/soju06/codex-lb:latest

# or uvx
uvx codex-lb

Open localhost:2455 → Add account → Done.

Client Setup

Point any OpenAI-compatible client at codex-lb. If API key auth is enabled, pass a key from the dashboard as a Bearer token.

Logo Client Endpoint Config
OpenAI Codex CLI http://127.0.0.1:2455/backend-api/codex ~/.codex/config.toml
OpenCode OpenCode http://127.0.0.1:2455/v1 ~/.config/opencode/opencode.json
OpenClaw OpenClaw http://127.0.0.1:2455/v1 ~/.openclaw/openclaw.json
Python OpenAI Python SDK http://127.0.0.1:2455/v1 Code
OpenAICodex CLI / IDE Extension

~/.codex/config.toml:

model = "gpt-5.3-codex"
model_reasoning_effort = "xhigh"
model_provider = "codex-lb"

[model_providers.codex-lb]
name = "OpenAI"  # required — enables remote /responses/compact
base_url = "http://127.0.0.1:2455/backend-api/codex"
wire_api = "responses"
supports_websockets = true

Optional: enable native upstream WebSockets for Codex streaming while keeping codex-lb pooling:

export CODEX_LB_UPSTREAM_STREAM_TRANSPORT=websocket

auto is the default and uses native WebSockets for native Codex headers or models that prefer them. You can also switch this in the dashboard under Settings -> Routing -> Upstream stream transport.

Note: Codex itself does not currently expose a stable documented wire_api = "websocket" provider mode. If you want to experiment on the Codex side, the current CLI exposes under-development feature flags:

[features]
responses_websockets = true
# or
responses_websockets_v2 = true

These flags are experimental and do not replace wire_api = "responses".

If upstream websocket handshakes must use environment proxies in your deployment, set CODEX_LB_UPSTREAM_WEBSOCKET_TRUST_ENV=true. By default websocket handshakes connect directly to match Codex CLI's native transport.

With API key auth:

[model_providers.codex-lb]
name = "OpenAI"
base_url = "http://127.0.0.1:2455/backend-api/codex"
wire_api = "responses"
env_key = "CODEX_LB_API_KEY"
supports_websockets = true
export CODEX_LB_API_KEY="sk-clb-..."   # key from dashboard
codex

Verify WebSocket transport

Use a one-off debug run:

RUST_LOG=debug codex exec "Reply with OK only."

Healthy websocket signals:

  • CLI logs contain connecting to websocket and successfully connected to websocket
  • codex-lb logs show WebSocket /backend-api/codex/responses
  • codex-lb logs do not show fallback POST /backend-api/codex/responses for the same run

If you run codex-lb behind a reverse proxy, make sure it forwards WebSocket upgrades.

Migrating from direct OpenAIcodex resume filters by model_provider; old sessions won't appear until you re-tag them:

# JSONL session files (all versions)
find ~/.codex/sessions -name '*.jsonl' \
  -exec sed -i '' 's/"model_provider":"openai"/"model_provider":"codex-lb"/g' {} +

# SQLite state DB (>= v0.105.0, creates ~/.codex/state_*.sqlite)
sqlite3 ~/.codex/state_5.sqlite \
  "UPDATE threads SET model_provider = 'codex-lb' WHERE model_provider = 'openai';"
OpenCodeOpenCode

Important: Use the built-in openai provider with baseURL override — not a custom provider with @ai-sdk/openai-compatible. Custom providers use the Chat Completions API which drops reasoning/thinking content. The built-in openai provider uses the Responses API, which properly preserves encrypted_content and multi-turn reasoning state.

~/.config/opencode/opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "openai": {
      "options": {
        "baseURL": "http://127.0.0.1:2455/v1",
        "apiKey": "{env:CODEX_LB_API_KEY}"
      },
      "models": {
        "gpt-5.4": {
          "name": "GPT-5.4",
          "reasoning": true,
          "options": { "reasoningEffort": "high", "reasoningSummary": "detailed" },
          "limit": { "context": 1050000, "output": 128000 }
        },
        "gpt-5.3-codex": {
          "name": "GPT-5.3 Codex",
          "reasoning": true,
          "options": { "reasoningEffort": "high", "reasoningSummary": "detailed" },
          "limit": { "context": 272000, "output": 65536 }
        },
        "gpt-5.1-codex-mini": {
          "name": "GPT-5.1 Codex Mini",
          "reasoning": true,
          "options": { "reasoningEffort": "high", "reasoningSummary": "detailed" },
          "limit": { "context": 272000, "output": 65536 }
        },
        "gpt-5.3-codex-spark": {
          "name": "GPT-5.3 Codex Spark",
          "reasoning": true,
          "options": { "reasoningEffort": "xhigh", "reasoningSummary": "detailed" },
          "limit": { "context": 128000, "output": 65536 }
        }
      }
    }
  },
  "model": "openai/gpt-5.3-codex"
}

This overrides the built-in openai provider's endpoint to point at codex-lb while keeping the Responses API code path that handles reasoning properly.

export CODEX_LB_API_KEY="sk-clb-..."   # key from dashboard
opencode
OpenClawOpenClaw

~/.openclaw/openclaw.json:

{
  "agents": {
    "defaults": {
      "model": { "primary": "codex-lb/gpt-5.3-codex" }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "codex-lb": {
        "baseUrl": "http://127.0.0.1:2455/v1",
        "apiKey": "${CODEX_LB_API_KEY}",   // or "dummy" if API key auth is disabled
        "api": "openai-completions",
        "models": [
          { "id": "gpt-5.3-codex", "name": "GPT-5.3 Codex" },
          { "id": "gpt-5.3-codex-spark", "name": "GPT-5.3 Codex Spark" }
        ]
      }
    }
  }
}

Set the env var or replace ${CODEX_LB_API_KEY} with a key from the dashboard. If API key auth is disabled, any value works.

PythonOpenAI Python SDK
from openai import OpenAI

client = OpenAI(
    base_url="http://127.0.0.1:2455/v1",
    api_key="sk-clb-...",  # from dashboard, or any string if auth is disabled
)

response = client.chat.completions.create(
    model="gpt-5.3-codex",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

API Key Authentication

API key auth is disabled by default — the proxy is open to any client. Enable it in Settings → API Key Auth on the dashboard.

When enabled, clients must pass a valid API key as a Bearer token:

Authorization: Bearer sk-clb-...

Creating keys: Dashboard → API Keys → Create. The full key is shown only once at creation. Keys support optional expiration, model restrictions, and rate limits (tokens / cost per day / week / month).

Configuration

Environment variables with CODEX_LB_ prefix or .env.local. See .env.example. Dashboard auth is configured in Settings. SQLite is the default database backend; PostgreSQL is optional via CODEX_LB_DATABASE_URL (for example postgresql+asyncpg://...).

Data

Environment Path
Local / uvx ~/.codex-lb/
Docker /var/lib/codex-lb/

Backup this directory to preserve your data.

Development

# Docker
docker compose watch

# Local
uv sync && cd frontend && bun install && cd ..
uv run fastapi run app/main.py --reload        # backend :2455
cd frontend && bun run dev                     # frontend :5173

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Soju06
Soju06

💻 ⚠️ 🚧 🚇
Jonas Kamsker
Jonas Kamsker

💻 🐛 🚧
Quack
Quack

💻 🐛 🚧 🎨
Jill Kok, San Mou
Jill Kok, San Mou

💻 ⚠️ 🚧 🐛
PARK CHANYOUNG
PARK CHANYOUNG

📖 💻 ⚠️
Choi138
Choi138

💻 🐛 ⚠️
LYA⚚CAP⚚OCEAN
LYA⚚CAP⚚OCEAN

💻 ⚠️
Eugene Korekin
Eugene Korekin

💻 🐛 ⚠️
jordan
jordan

💻 🐛 ⚠️
DOCaCola
DOCaCola

🐛 ⚠️ 📖
JoeBlack2k
JoeBlack2k

💻 🐛 ⚠️
Peter A.
Peter A.

📖
Hannah Markfort
Hannah Markfort

💻 ⚠️
mws-weekend-projects
mws-weekend-projects

💻 ⚠️
Quang Do
Quang Do

💻 ⚠️
Anand Aiyer
Anand Aiyer

🐛 💻 ⚠️
defin85
defin85

💻 🐛 ⚠️
Jacky Fong
Jacky Fong

💻
flokosti96
flokosti96

💻 ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome!

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