Gproxy
gproxy acts as a unified gateway to expose OpenAI, Claude, and Gemini-style APIs through a single interface, simplifying access and management of multiple language models
- •When you need to integrate multiple language models into your application and want a unified API interface
- •When you require user and key management for accessing language models
- •When you need to audit requests and usage of language models for your application
Use the following command to test the OpenAI API through gproxy: `curl -X POST 'http://localhost:8000/v1/completions' -H 'Authorization: Bearer YOUR_API_KEY' -H 'Content-Type: application/json' -d '{"model": "text-davinci-003", "prompt": "Write a short story about a character who discovers a hidden world.", "max_tokens": 2048}'`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/gproxy && curl -fsSL https://workflowstacks.com/api/skills/gproxy/claude-skill -o ~/.claude/skills/gproxy/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Gproxy is a very large Rust project (~181k lines across 1970 code files, plus 125 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, AGPL-3.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2Cargo.tomlDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/gproxy && curl -fsSL https://workflowstacks.com/api/skills/gproxy/claude-skill -o ~/.claude/skills/gproxy/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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