How to use Codex LB Enhanced: what you can do with it

4 use cases

• Run a self-hosted Codex account-pool gateway with Docker

  Start the gateway in a container, add accounts, and create an API key in the dashboard.

  • REPO aafqaq/codex-lb-enhanced
  • Software and DevOps
  • Intermediate
  View prompt

  In the aafqaq/codex-lb-enhanced repo, run the Docker quick start to start the gateway as the container named codex-lb-enhanced, using the target directory <workdir>. Report the container status from `docker ps` and confirm that http://localhost:2455 responds. Verify that the data volume codex-lb-enhanced-data exists before you finish.

  Share Email me this

• Point Codex CLI at the gateway with a provider entry

  Add a Codex LB Enhanced provider to config.toml so Codex routes through the pool.

  • REPO aafqaq/codex-lb-enhanced
  • Codex
  • Software and DevOps
  • Intermediate
  View prompt

  Using the aafqaq/codex-lb-enhanced README, add the codex-lb-enhanced provider block to <path to config.toml> with the base_url for <gateway URL>. Report the final provider block and whether a test Codex prompt succeeds. Verify that the file still parses as TOML.

  Share Email me this

• Read API-key quota usage from /v1/usage in scripts

  Query the usage endpoint to track remaining limits for each API key.

  • REPO aafqaq/codex-lb-enhanced
  • Software and DevOps
  • Advanced
  View prompt

  In the aafqaq/codex-lb-enhanced repo, write a small script that calls /v1/usage on <gateway URL> with the API key in <env var name>. Output the remaining usage per window as JSON. Verify that the output matches the usage limits shown in the dashboard for that key.

  Share Email me this

• Run the gateway from source for local development

  Sync dependencies with uv and launch codex-lb from a source checkout.

  • REPO aafqaq/codex-lb-enhanced
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
  • Software and DevOps
  • Advanced
  View prompt

  In a clone of aafqaq/codex-lb-enhanced at <path>, run `uv sync --dev --frozen` and then `uv run codex-lb`. Report whether the launcher starts and whether http://localhost:2455 responds. Verify that no dependency install step failed before you start the launcher.

  Share Email me this

Quick start with Codex LB Enhanced

1. Check you have what it needs: Docker installed and running, or uv installed for running from source; Upstream ChatGPT accounts you are authorized to use, to add in the dashboard; A browser to open the dashboard at localhost:2455.
2. Open aafqaq/codex-lb-enhanced on GitHub and read the README and license.
3. Create the Docker network if it does not exist: docker network inspect codex-lb-net >/dev/null 2>&1 || docker network create codex-lb-net
4. Create the data volume: docker volume create codex-lb-enhanced-data
5. Start the container: docker run -d --name codex-lb-enhanced --restart unless-stopped -e CODEX_LB_HTTP_RESPONSES_SESSION_BRIDGE_AMBIGUOUS_CONTINUATION_RECOVERY_MODE=server_indefinite_recovery --network codex-lb-net -p 2455:2455 -p 1455:1455 -v codex-lb-enhanced-data:/var/lib/codex-lb ghcr.io/aafqaq/codex-lb-enhanced:1.25.3 (inferred, check the README)
6. Open http://localhost:2455, complete initialization, and add your accounts.

These steps come from our top use case, Run a self-hosted Codex account-pool gateway with Docker, which also has a copy-paste agent prompt.

Using the Deduped MCP, get the setup steps for aafqaq/codex-lb-enhanced

claude mcp add --transport http deduped https://dedupedai.com/mcp

Codex LB Enhanced alternatives · Best AI repos for Software and DevOps

About this repo

• Who it is forDevelopers and small teams who run Codex or other OpenAI-compatible clients and want one self-hosted endpoint in front of several upstream accounts.
• Why it is hot104 stars, launched 59 days ago
• LanguagePython
• Sourcegithub.com/aafqaq/codex-lb-enhanced · Back to Hot repos

Requirements

• Docker installed and running, or uv installed for running from source
• Upstream ChatGPT accounts you are authorized to use, to add in the dashboard
• A browser to open the dashboard at localhost:2455
• Codex CLI, desktop, or IDE integration, or another OpenAI-compatible client, if you plan to connect one

Related repos

• Trended earlier REPO Ai-Eastern/reuse-before-build Reuse Before Build reuse-before-build is an Agent Skill that makes coding agents search existing code, tests, and libraries before writing new ones, then decide to Take, Borrow, or Build.
• Trended earlier REPO aibuildai-inc/aibuildai-llm-posttrain-agent Aibuildai LLM Posttrain Agent A source-code release of a recursive self-improving agent that designs, runs, and iterates on post-training experiments for LLMs.
• Trended earlier REPO AIpRoBuilder/FlowX FlowX FlowX is an open-source MCP server and Python SDK that turns plain-language process descriptions into stored, runnable AI agent workflows.