Nigel211

将 OpenAI Responses API 请求翻译为 DeepSeek Chat Completions API 的流式代理,让 Codex 接入 DeepSeek 模型。Streaming proxy for cc-switch that bridges OpenAI Responses API to DeepSeek Chat API, enabling Codex to use DeepSeek

14
2
100% credibility
Found May 09, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This tool acts as a seamless translator bridge allowing coding applications built for one AI service to use DeepSeek AI models with full streaming responses and tool support.

How It Works

1
🔍 Discover the AI Bridge

You find a simple tool online that lets your coding assistant use powerful DeepSeek AI instead of the usual one.

2
📥 Bring It Home

You download the files to a folder on your computer and make sure you have the basic software ready.

3
🔑 Connect Your AI Friend

The tool gently asks for your DeepSeek account secret once and keeps it safe for future use.

4
🚀 Launch the Magic Bridge

You start the helper with one simple command, and it wakes up on your computer, ready to translate thoughts between your coding tool and DeepSeek.

5
⚙️ Link Your Coding App

In your coding software's model switcher, you enter the easy local web address shown by the helper.

6
💬 Chat and Create

Your coding assistant now pulls smart ideas, text, and even tool actions from DeepSeek, feeling seamless and fast.

🎉 Code Like a Pro

You enjoy lightning-fast, powerful AI help in your coding, with full support for complex tasks and everything working perfectly.

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Star Growth

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AI-Generated Review

What is codex_deepseek_proxy?

This Python proxy bridges OpenAI Responses API requests to DeepSeek Chat Completions API, delivering streaming responses so Codex IDE or CLI via cc-switch can tap DeepSeek models as an openai github alternative. It handles full tool calling, message reordering, and SSE event translation, letting you run a local server on port 5000 with endpoints like /responses or /v1/chat/completions. Developers get a drop-in swap for openai responses api streaming and tools without rewriting clients.

Why is it gaining traction?

It nails compatibility quirks like parallel function calls and tool message ordering that trip up openai responses vs chat completions bridges, plus disables DeepSeek thinking mode for clean outputs. As a lightweight openai github codex or copilot proxy, it supports openai responses api python workflows with structured outputs and file search-like tools at lower costs. Users notice reliable streaming and easy .env config over clunky provider switches.

Who should use this?

cc-switch or Codex CLI users routing openai github api calls who want DeepSeek for cheaper tokens in tool-heavy coding sessions. Python devs building openai github actions, apps, or openai responses api mcp integrations needing an openai responses endpoint bridge. AI coding assistants tired of OpenAI pricing for openai github deep research or whisper alternatives.

Verdict

Grab it if you're prototyping openai responses api tools with DeepSeek—docs are solid and setup is one command. But at 14 stars and 1.0% credibility score, it's early-stage; expect debug logs for edge cases before production.

(198 words)

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