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opencodex Review

opencodex is a local proxy that enables the use of various Large Language Models with OpenAI Codex CLI, App, SDK, and Claude Code.

shipped Aug 5, 2026freemium
opencodex — product screenshot

Why it matters

1Supports over 40 LLM providers including Claude, Gemini, Grok, DeepSeek, and Ollama.
2Translates wire formats bidirectionally, enabling streaming, tool calls, reasoning, and image support.
3Operates as a local proxy, requiring no client patches for integration with existing AI coding agents.
4Version 2.10.0 is the latest npm release, with 7.4k GitHub stars as of early August 2026.

About opencodex

Business Model
Hybrid (Subscription + Usage)
Platforms
Web
GitHubOpen Source

Specs

API Available

Yes, public API

Screenshots

overview

What is opencodex?

opencodex is an AI proxy tool developed by the community that enables developers, AI agents, and scripting users to run OpenAI Codex and Claude Code with any Large Language Model (LLM) via a universal local proxy. It translates wire formats between Codex/Claude Code and over 40 LLM providers, including Claude, Gemini, Grok, DeepSeek, and Ollama, without requiring client patches.

features

Key Features of opencodex

opencodex provides a comprehensive set of features designed to enhance the flexibility and compatibility of AI coding agents with a wide array of LLMs. Its core functionality revolves around acting as a universal proxy, translating API calls and responses to ensure seamless operation across different providers.

  • Supports over 40 LLM providers, including Anthropic, Google, xAI, Kimi, DeepSeek, and Ollama.
  • Translates wire formats bidirectionally between OpenAI Codex/Claude Code and various LLM providers.
  • Enables streaming responses in both directions, maintaining real-time interaction.
  • Facilitates tool calls and reasoning tokens bidirectionally, preserving advanced LLM capabilities.
  • Provides image support across different LLMs, including routing non-multimodal LLMs through vision-capable sidecar models like gpt-5.4-mini.
  • Requires no client patches for integration with existing OpenAI Codex CLI, App, and SDK.
  • Offers OAuth or API key login for authentication with underlying LLM services.
  • Manages ChatGPT account pools for Codex authentication and intelligently routes new sessions to optimize usage.

use cases

Who Should Use opencodex?

opencodex is primarily designed for developers, AI agents, and scripting users who require greater flexibility and control over the Large Language Models used with their AI coding environments. Its capabilities cater to specific technical needs within the AI development workflow.

  • Developers: For using various LLMs (e.g., Claude, Gemini, Grok, DeepSeek, Ollama) with OpenAI Codex CLI, App, and SDK without vendor lock-in.
  • AI Agents: For translating wire formats between Codex/Claude Code and different LLM providers, enabling broader model compatibility for automated tasks.
  • Scripting Users: For configuring and managing LLM providers and model routing, allowing for customized AI model selection in scripts.
  • Cost-Optimizing Users: For managing ChatGPT account pools for Codex authentication and routing, potentially optimizing access and usage costs.
  • Advanced AI Integrators: For enabling streaming, tool calls, reasoning, and image support across different LLMs, extending the functionality of non-multimodal models.

how to use

How to Use opencodex

opencodex operates as a local proxy, installed via npm, that intercepts and translates API requests. Users configure the proxy to route requests from AI coding agents to their chosen LLM providers.

  • 1Install opencodex globally via npm using npm install -g @bitkyc08/opencodex.
  • 2Configure the local proxy to bind to a specific hostname and port, e.g., 'hostname': '0.0.0.0'.
  • 3Set up LLM provider credentials and routing rules within the opencodex configuration.
  • 4Ensure the AI coding client (e.g., OpenAI Codex CLI, App, SDK) is directed to communicate with the opencodex proxy.
  • 5For Management API access, provide an admin credential, and if binding beyond loopback, include a bearer token (OPENCODEX_API_AUTH_TOKEN) as x-opencodex-api-key in client requests.

pricing

opencodex Pricing & Plans

opencodex operates on a freemium model. The core proxy software is open-source and free to install and use. Users are responsible for the costs associated with the API keys of the underlying Large Language Models (LLMs) they choose to integrate and utilize through the proxy.

  • Freemium: Free to use the opencodex proxy software, with premium features potentially available or planned.

Pros

  • +Enables use of over 40 LLM providers with OpenAI Codex and Claude Code, including open-source and local models.
  • +Maintains full functionality (streaming, tool calls, reasoning, images) bidirectionally across different LLMs.
  • +Requires no client-side patches, integrating seamlessly with existing Codex CLI, App, and SDK.
  • +Manages ChatGPT account pools for optimized Codex authentication and session routing.
  • +Open-source and community-maintained, offering transparency and flexibility.
  • +Provides web search and image understanding capabilities for non-multimodal LLMs via sidecar models.

Cons

  • Users are responsible for the costs of underlying LLM API keys, which are not included in the free opencodex software.
  • Requires local installation and configuration, which may present a learning curve for some users.
  • No specific numerical rate limits are published for the OpenCodex proxy's own API, which could be a concern for high-volume API management.
  • While supporting many LLMs, its primary focus is on OpenAI Codex and Claude Code, potentially limiting its utility for other AI applications.

Similar Tools

opencodex vs Competitors

opencodex distinguishes itself in the AI tool landscape by functioning as a universal local proxy, rather than a direct AI coding agent. It enhances existing tools by providing LLM agnosticism, a niche that differentiates it from broader AI gateways or specific coding assistants.

1
LiteLLM

Provides a unified OpenAI-compatible API to over 100 LLM providers, with features like cost tracking, guardrails, load balancing, and an admin dashboard, deployable as a self-hosted proxy.

LiteLLM offers extensive provider support and a robust feature set for self-hosting, potentially requiring more setup than a managed service like OpenCodex, but providing full control and no vendor lock-in.

2
OpenAI HTTP Proxy

A lightweight, OpenAI-compatible HTTP proxy server that unifies access to multiple LLM providers and local inference, acting as a drop-in replacement for OpenAI's API.

This proxy is very lightweight and focused on API compatibility, making it easy to integrate, but it might offer fewer advanced features like a comprehensive admin dashboard or advanced routing logic compared to OpenCodex.

3
Free LLM Gateway

Aggregates the free tiers of 24+ LLM providers into a single OpenAI-compatible endpoint, with smart routing, automatic fallback, and usage tracking to stay within free limits.

Its unique focus on stacking free tiers makes it ideal for cost-conscious users, but it might have limitations on the scale and specific models available compared to a proxy that integrates with paid APIs.

4

Provides a unified AI Gateway with full observability, routing control, guardrails, and prompt management across 250+ models, with an OpenAI-compatible SDK.

Portkey offers a more comprehensive suite of production-ready features like observability and guardrails, which might be more than just a proxy, but its free tier makes it accessible for smaller projects, similar to OpenCodex's freemium model.

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