codex-lb 1.15.0

Codex load balancer and proxy for ChatGPT accounts with usage dashboard

codex-lb

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

More screenshots

Settings	Login

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.

Remote Setup

When accessing the dashboard remotely for the first time, a bootstrap token is required to set the initial password.

Auto-generated (default): On first startup (no password configured), the server generates a one-time token and prints it to logs:

docker logs codex-lb
# ============================================
#   Dashboard bootstrap token (first-run):
#   <token>
# ============================================

Open the dashboard → enter the token + new password → done. The token is shared across replicas and remains valid until a password is set. In multi-replica setups, replicas must share the same encryption key (the Helm chart default) for restart recovery to work.

Manual token: To use a fixed token instead, set the env var before starting:

docker run -d --name codex-lb \
  -e CODEX_LB_DASHBOARD_BOOTSTRAP_TOKEN=your-secret-token \
  -p 2455:2455 -p 1455:1455 \
  -v codex-lb-data:/var/lib/codex-lb \
  ghcr.io/soju06/codex-lb:latest

Local access (localhost) bypasses bootstrap entirely — no token needed.

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
	Codex CLI	http://127.0.0.1:2455/backend-api/codex	~/.codex/config.toml
	OpenCode	http://127.0.0.1:2455/v1	~/.config/opencode/opencode.json
	OpenClaw	http://127.0.0.1:2455/v1	~/.openclaw/openclaw.json
	OpenAI Python SDK	http://127.0.0.1:2455/v1	Code

 Codex 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
requires_openai_auth = true # required for codex app

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
requires_openai_auth = true # required for codex app

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 OpenAI — codex 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';"

 OpenCode

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.

Before starting, please ensure that all existing OpenAI credentials is cleared in ~/.local/share/opencode/auth.json You can clean the config by using this one-liner jq 'del(.openai)' ~/.local/share/opencode/auth.json > auth.json.tmp && mv auth.json.tmp ~/.local/share/opencode/auth.json

~/.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

 OpenClaw

~/.openclaw/openclaw.json:

{
  "agents": {
    "defaults": {
      "model": { "primary": "codex-lb/gpt-5.4" },
      "models": {
        "codex-lb/gpt-5.4": { "params": { "cacheRetention": "short" } }
        "codex-lb/gpt-5.4-mini": { "params": { "cacheRetention": "short" } }
        "codex-lb/gpt-5.3-codex": { "params": { "cacheRetention": "short" } }
      }
    }
  },
  "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-responses",
        "models": [
          {
            "id": "gpt-5.4",
            "name": "gpt-5.4 (codex-lb)",
            "contextWindow": 1050000,
            "contextTokens": 272000,
            "maxTokens": 4096,
            "input": ["text"],
            "reasoning": false
          },
          {
            "id": "gpt-5.4-mini",
            "name": "gpt-5.4-mini (codex-lb)",
            "contextWindow": 400000,
            "contextTokens": 272000,
            "maxTokens": 4096,
            "input": ["text"],
            "reasoning": false
          },
          {
            "id": "gpt-5.3-codex",
            "name": "gpt-5.3-codex (codex-lb)",
            "contextWindow": 400000,
            "contextTokens": 272000,
            "maxTokens": 4096,
            "input": ["text"],
            "reasoning": false
          }
        ]
      }
    }
  }
}

Set the env var or replace ${CODEX_LB_API_KEY} with a key from the dashboard. If API key auth is disabled, local requests can omit the key, but non-local requests are still rejected until proxy authentication is configured.

 OpenAI 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 non-empty 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. In that mode, only local requests to the protected proxy routes can proceed without a key; non-local requests are rejected until proxy authentication is configured. Enable it in Settings → API Key Auth on the dashboard when clients connect remotely or through Docker, VM, or container networking that appears non-local to the service.

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

Authorization: Bearer sk-clb-...

The protected proxy routes covered by this setting are:

• /v1/* (except /v1/usage, which always requires a valid key)
• /backend-api/codex/*
• /backend-api/transcribe

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. SQLite is the default database backend; PostgreSQL is optional via CODEX_LB_DATABASE_URL (for example postgresql+asyncpg://...).

Dashboard authentication modes

codex-lb supports three dashboard auth modes via environment variables:

• CODEX_LB_DASHBOARD_AUTH_MODE=standard — built-in dashboard password with optional TOTP from the Settings page.
• CODEX_LB_DASHBOARD_AUTH_MODE=trusted_header — trust a reverse-proxy auth header such as Authelia's Remote-User, but only from CODEX_LB_FIREWALL_TRUSTED_PROXY_CIDRS. Built-in password/TOTP remain available as an optional fallback, and password/TOTP management still requires a fallback password session.
• CODEX_LB_DASHBOARD_AUTH_MODE=disabled — fully bypass dashboard auth. Use only behind network restrictions or external auth. Built-in password/TOTP management is disabled in this mode.

trusted_header mode also requires:

CODEX_LB_FIREWALL_TRUST_PROXY_HEADERS=true
CODEX_LB_FIREWALL_TRUSTED_PROXY_CIDRS=172.18.0.0/16
CODEX_LB_DASHBOARD_AUTH_PROXY_HEADER=Remote-User

If the trusted header is missing and no fallback password is configured, the dashboard fails closed and shows a reverse-proxy-required message instead of loading the UI.

Docker examples

Authelia / trusted header

docker run -d --name codex-lb \
  -p 2455:2455 -p 1455:1455 \
  -e CODEX_LB_DASHBOARD_AUTH_MODE=trusted_header \
  -e CODEX_LB_DASHBOARD_AUTH_PROXY_HEADER=Remote-User \
  -e CODEX_LB_FIREWALL_TRUST_PROXY_HEADERS=true \
  -e CODEX_LB_FIREWALL_TRUSTED_PROXY_CIDRS=172.18.0.0/16 \
  -v codex-lb-data:/var/lib/codex-lb \
  ghcr.io/soju06/codex-lb:latest

Hard override / no app-level dashboard auth

docker run -d --name codex-lb \
  -p 2455:2455 -p 1455:1455 \
  -e CODEX_LB_DASHBOARD_AUTH_MODE=disabled \
  -v codex-lb-data:/var/lib/codex-lb \
  ghcr.io/soju06/codex-lb:latest

For Helm, pass the same values through extraEnv.

Data

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

Backup this directory to preserve your data.

Kubernetes

helm install codex-lb oci://ghcr.io/soju06/charts/codex-lb \
  --set postgresql.auth.password=changeme \
  --set config.databaseMigrateOnStartup=true \
  --set migration.schemaGate.enabled=false
kubectl port-forward svc/codex-lb 2455:2455

Open localhost:2455 → Add account → Done.

The Helm chart auto-configures HTTP /responses owner handoff for multi-replica installs using a headless-service DNS name per pod. The default cluster domain is cluster.local; set Helm clusterDomain if your cluster uses a different suffix. Override config.sessionBridgeAdvertiseBaseUrl only if pods must be reached through a different internal address.

For external database, production config, ingress, observability, and more see the Helm chart README.

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 💻 ⚠️ 🚧 🚇	Jonas Kamsker 💻 🐛 🚧	Quack 💻 🐛 🚧 🎨	Jill Kok, San Mou 💻 ⚠️ 🚧 🐛	PARK CHANYOUNG 📖 💻 ⚠️	Choi138 💻 🐛 ⚠️	LYA⚚CAP⚚OCEAN 💻 ⚠️
Eugene Korekin 💻 🐛 ⚠️	jordan 💻 🐛 ⚠️	DOCaCola 🐛 ⚠️ 📖	JoeBlack2k 💻 🐛 ⚠️	Peter A. 📖 💻 🐛	Hannah Markfort 💻 ⚠️	mws-weekend-projects 💻 ⚠️
Quang Do 💻 ⚠️	Anand Aiyer 🐛 💻 ⚠️	defin85 💻 🐛 ⚠️	Jacky Fong 💻 🐛 💬 🚧 ⚠️	flokosti96 💻 ⚠️	Woonggi Min 💻 ⚠️	Yigit Konur 🐛 💻
Ruben 💻 ⚠️ 🐛	Steve Santacroce 💻 ⚠️ 🐛	Hugh Do 💻 ⚠️	Hubert Salwin 💻 ⚠️	Teemu Koskinen 📖	Yu Peng Zheng 📖 💻	embogomolov 💻 ⚠️
Renat Sharipov 💻 ⚠️	Liu Rui 📖	OverHash 💻 ⚠️	Kazet 💻 ⚠️	balakumardev 💻 ⚠️	ihazgithub 💻 ⚠️	Temirkhan 💻 ⚠️

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