CORS Chat: A Browser Tool for Testing OpenAI-Responses-Compatible Chat Endpoints
Score
72介绍了一个新发布的实用工具，附带了具体使用场景和特性，但未提供深入技术剖析。
内容清晰简洁，工具设计合理，作者有实际验证，但篇幅较短，缺少架构说明。
对本地 LLM 开发者来说可以直接使用，解决了测试界面缺失的问题，且支持导出 JSON。
工具当天构建并发布，信息新鲜，反映了作者当前的工作流和最新模型环境。
Simon Willison 是知名开发者博主，原始博客来源可信，且附有可访问链接。
Base 80 × T2 Source weight ×0.9 = 72
Curation line 70Selected
Why selected
Information gain is solid as it introduces a concrete new tool with design details, but it's essentially a personal utility share with limited novelty.
AI commentary
「This small tool hits a real pain point for local model testing: when you quickly want to verify a compatible chat endpoint, a lightweight UI is missing. If you develop LLM apps or debug local deployments, this is worth a try, especially the progressive SVG rendering which is far more intuitive than plain-text logs.」
Quick overview
Simon Willison built CORS Chat today with GPT-5.6-Sol xhigh to test OpenAI-Responses-compatible chat endpoints. It works with LM Studio (using the --cors option) and OpenRouter, and has been exercised against Qwen 3.8 27B running locally on both an M5 MacBook Pro and an NVIDIA DGX Spark. Conversations persist in the browser and can be exported as copy-pasted JSON. A neat feature is that it detects SVG images being generated and progressively renders them in chat while tokens stream in, making it handy for multimodal testing.
- CORS Chat is a browser-based web UI for interacting with OpenAI-Responses-compatible endpoints, supporting LM Studio and OpenRouter.
- Conversations are persisted in the browser and can be exported as JSON for replay and debugging.
- It progressively renders SVG images as tokens stream in, enabling real-time multimodal output viewing.
- Verified with local models on M5 MacBook Pro and NVIDIA DGX Spark, as well as remote APIs.
Full text
Showing the source text; the full translation is being generated.
Tool: CORS Chat
I built this today (with GPT-5.6-Sol xhigh) to help test Qwen 3.8 27B running in LM Studio on both my M5 MacBook Pro and an NVIDIA DGX Spark.
It provides a web UI for exercising an OpenAI-Responses-compatible chat endpoint. I've tried it against LM Studio with the --cors option and OpenRouter, and both work fine.
Conversations are persisted in the browser and can be exported as copy-pasted JSON. One fun detail is that it notices SVG images that are being generated and progressively renders them in the chat while the tokens are still streaming in.
Tags: svg, ai, generative-ai, llms, cors, openrouter, lm-studio
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