I ported the OpenAI Python SDK to Rust in 5 days with Claude Code.

I needed a fast OpenAI client for a realtime voice agent project. The official Python SDK is great, but I needed Rust — for WebSocket audio streaming, edge deployment to Cloudflare Workers, and sub-second latency in agentic loops with dozens of tool calls. So I ported it. 259 commits, 5 days, 100+ API methods. The first day — 120 commits — was mostly Claude Code translating types from Python to Rust while I set up pre-commit hooks, WASM checks, and benchmarks. The rest was architecture decisions, performance tuning, and Node/Python bindings. The result: openai-oxide — a Rust client that matches the official Python SDK's API surface while being faster and deployable to WASM. Why Not Just Use What Exists? The official Python and Node SDKs are solid — they reuse HTTP/2 connections, have WebSocket support for the Realtime API, and cover all endpoints. But they don't compile to WASM, and their WebSocket mode is only for the Realtime API (audio/multimodal), not for regular text-based Respons