Merge branch 'main' into feat/optimize-naming

Merge branch 'main' of github.com:nexu-io/open-design
Merge branch 'feat/optimize-naming' of github.com:nexu-io/open-design into feat/optimize-naming
2026-04-28 16:23:44 +08:00 · 2026-04-28 16:20:14 +08:00 · 2026-04-28 16:16:51 +08:00 · 2026-04-28 16:11:46 +08:00 · 2026-04-28 16:07:52 +08:00 · 2026-04-28 16:02:17 +08:00
26 changed files with 65 additions and 1521 deletions
@@ -15,6 +15,4 @@ dist
 tsconfig.tsbuildinfo
-.claude-sessions/*
+.claude-sessions/*
 .cursor/*
@@ -39,7 +39,7 @@ OD stands on four open-source shoulders:
 | | What you get |
 |---|---|
-| **Coding agents supported** | Claude Code · Codex CLI · Cursor Agent · Gemini CLI · OpenCode · Qwen Code · Hosted-API BYOK fallback (Anthropic · OpenAI-compatible · Azure · Google Gemini, plus AWS Bedrock & GCP Vertex via proxy) |
+| **Coding agents supported** | Claude Code · Codex CLI · Cursor Agent · Gemini CLI · OpenCode · Qwen Code · Anthropic API (BYOK fallback) |
 | **Design systems built-in** | **71** — 2 hand-authored starters + 69 product systems (Linear, Stripe, Vercel, Airbnb, Tesla, Notion, Anthropic, Apple, Cursor, Supabase, Figma, …) imported from [`awesome-design-md`][acd2] |
 | **Skills built-in** | **19** — prototype, deck, mobile, dashboard, pricing, docs, blog, SaaS landing, plus 10 document/work-product templates (PM spec, weekly update, OKRs, runbook, kanban, …) |
 | **Visual directions** | 5 curated schools (Editorial Monocle · Modern Minimal · Tech Utility · Brutalist · Soft Warm) — each ships a deterministic OKLch palette + font stack |
@@ -180,7 +180,7 @@ Adding a skill takes one folder. Read [`docs/skills-protocol.md`](docs/skills-pr
 ### 1 · We don't ship an agent. Yours is good enough.
-The daemon scans your `PATH` for [`claude`](https://docs.anthropic.com/en/docs/claude-code), [`codex`](https://github.com/openai/codex), [`cursor-agent`](https://www.cursor.com/cli), [`gemini`](https://github.com/google-gemini/gemini-cli), [`opencode`](https://opencode.ai/), and [`qwen`](https://github.com/QwenLM/qwen-code) on startup. Whichever it finds becomes the design engine — driven via stdio, with one adapter per CLI. Inspired by [`multica`](https://github.com/multica-ai/multica) and [`cc-switch`](https://github.com/farion1231/cc-switch). No CLI? The `Hosted API · BYOK` fallback streams directly from the browser to **Anthropic**, any **OpenAI-compatible** endpoint (OpenRouter / LiteLLM / DeepSeek / Groq / Together / Mistral …), **Azure OpenAI**, or **Google Gemini** — pick the provider in Settings, paste a key, go. AWS Bedrock and GCP Vertex Anthropic models work the same way through a server-side LiteLLM (or equivalent) proxy pointed at the `Anthropic` provider, since SigV4 / GCP JWT signing belongs on the server, not the browser.
+The daemon scans your `PATH` for [`claude`](https://docs.anthropic.com/en/docs/claude-code), [`codex`](https://github.com/openai/codex), [`cursor-agent`](https://www.cursor.com/cli), [`gemini`](https://github.com/google-gemini/gemini-cli), [`opencode`](https://opencode.ai/), and [`qwen`](https://github.com/QwenLM/qwen-code) on startup. Whichever it finds becomes the design engine — driven via stdio, with one adapter per CLI. Inspired by [`multica`](https://github.com/multica-ai/multica) and [`cc-switch`](https://github.com/farion1231/cc-switch). No CLI? `Anthropic API · BYOK` is the same pipeline minus the spawn.
 ### 2 · Skills are files, not plugins.
@@ -227,10 +227,8 @@ Every layer is composable. Every layer is a file you can edit. Read [`src/prompt
               │ /api/* (proxied in dev)           │ direct (BYOK)
               ▼                                   ▼
   ┌──────────────────────┐              ┌──────────────────────┐
-   │   Local daemon       │              │  Hosted-API router   │
+   │   Local daemon       │              │   Anthropic SDK      │
-   │   (Express + SQLite) │              │  Anthropic · OpenAI- │
+   │   (Express + SQLite) │              │   (browser fallback) │
   │                      │              │  compatible · Azure  │
   │                      │              │  · Google Gemini     │
   │                      │              └──────────────────────┘
   │   /api/agents        │
   │   /api/skills        │
@@ -270,7 +268,7 @@ The first load:
 1. Detects which agent CLIs you have on `PATH` and picks one automatically.
 2. Loads 19 skills + 71 design systems.
-3. Pops the welcome dialog so you can pick a hosted-API provider — **Anthropic**, **OpenAI-compatible** (OpenRouter / LiteLLM / DeepSeek / Groq / Together / Mistral / OpenAI), **Azure OpenAI**, or **Google Gemini** — and paste the matching key (only needed for the BYOK fallback path; for AWS Bedrock or GCP Vertex Anthropic models, run a server-side LiteLLM proxy and point the `Anthropic` provider at it).
+3. Pops the welcome dialog so you can paste an Anthropic key (only needed for the BYOK fallback path).
 4. **Auto-creates `./.od/`** — the local runtime folder for the SQLite project DB, per-project artifacts, and saved renders. There is no `od init` step; the daemon `mkdir`s everything it needs on boot.
 Type a prompt, hit **Send**, watch the question form arrive, fill it, watch the todo card stream, watch the artifact render. Click **Save to disk** or download as a project ZIP.
@@ -336,12 +334,7 @@ open-design/
 │   │   └── zip.ts                 ← project archive
 │   ├── providers/
 │   │   ├── daemon.ts              ← /api/chat SSE stream consumer
-│   │   ├── model.ts               ← BYOK provider router (anthropic / openai / azure / google)
+│   │   ├── anthropic.ts           ← BYOK Anthropic SDK path
 │   │   ├── anthropic.ts           ← Anthropic SDK path (also covers any Anthropic-compatible proxy)
 │   │   ├── openai.ts              ← OpenAI-compatible SSE (OpenRouter / LiteLLM / DeepSeek / Groq / Together)
 │   │   ├── azure.ts               ← Azure OpenAI deployment URLs + api-key header
 │   │   ├── google.ts              ← Google Generative Language streamGenerateContent
 │   │   ├── presets.ts             ← per-provider defaults shown in Settings
 │   │   └── registry.ts            ← /api/agents, /api/skills, /api/design-systems
 │   └── state/                     ← config + projects (localStorage + daemon-backed)
 │
@@ -506,25 +499,10 @@ Auto-detected from `PATH` on daemon boot. No config required.
 | [Gemini CLI](https://github.com/google-gemini/gemini-cli) | `gemini` | line-buffered | `gemini -p` |
 | [OpenCode](https://opencode.ai/) | `opencode` | line-buffered | `opencode run` |
 | [Qwen Code](https://github.com/QwenLM/qwen-code) | `qwen` | line-buffered | `qwen -p` |
-| Hosted API · BYOK | n/a | SSE direct | Browser fallback when no CLI is on PATH — pick any of the providers below |
+| Anthropic API · BYOK | n/a | SSE direct | Browser fallback when no CLI is on PATH |
 Adding a new CLI is one entry in [`daemon/agents.js`](daemon/agents.js). Streaming format is one of `claude-stream-json` (typed events) or `plain` (raw text).
 ### Hosted-API providers (BYOK fallback)
 When no CLI is detected, OD streams directly from the browser to a hosted endpoint. Pick one in **Settings → Hosted API**, paste a key, optionally tweak the base URL.
 | Provider | Wire format | What it covers |
 |---|---|---|
 | **Anthropic** | `@anthropic-ai/sdk` | `api.anthropic.com`, plus any Anthropic-compatible proxy (LiteLLM, custom gateways, **AWS Bedrock** & **GCP Vertex** via a server-side proxy) |
 | **OpenAI-compatible** | `/chat/completions` SSE | OpenAI proper, [OpenRouter](https://openrouter.ai), [LiteLLM proxy](https://docs.litellm.ai/), [DeepSeek](https://platform.deepseek.com/), [Groq](https://groq.com/), [Together](https://together.ai/), [Mistral](https://mistral.ai/), and any other OpenAI-shaped endpoint |
 | **Azure OpenAI** | `/openai/deployments/<deployment>/chat/completions` SSE + `api-key` header | Azure-hosted OpenAI deployments. Base URL is the resource endpoint, Model is the deployment name, plus the Azure `api-version` |
 | **Google Gemini** | `:streamGenerateContent?alt=sse` | Google Generative Language API direct (Gemini family) |
 **On AWS Bedrock & GCP Vertex with Anthropic models:** Both require credential signing (SigV4 / GCP service-account JWT) which is unsafe to do from a browser with long-lived BYOK credentials. The recommended path is to run a server-side proxy ([LiteLLM](https://docs.litellm.ai/) works well — it speaks Anthropic-compatible *and* OpenAI-compatible) and point either the `Anthropic` or `OpenAI-compatible` provider at the proxy URL. The signing stays on the server where it belongs.
 Adding a fifth wire format is mechanical: a row in `ModelProvider`, an entry in [`src/providers/presets.ts`](src/providers/presets.ts), a `stream<X>` function alongside [`anthropic.ts` / `openai.ts` / `azure.ts` / `google.ts`](src/providers/), one more `case` in [`src/providers/model.ts`](src/providers/model.ts).
 ## References & lineage
 Every external project this repo borrows from. Each link goes to the source so you can verify the provenance.
@@ -560,14 +538,6 @@ Phased delivery → [`docs/roadmap.md`](docs/roadmap.md).
 This is an early implementation — the closed loop (detect → pick skill + design system → chat → parse `<artifact>` → preview → save) runs end-to-end. The prompt stack and skill library are where most of the value lives, and they're stable. The component-level UI is shipping daily.
 ## Star us
 <p align="center">
  <a href="https://github.com/nexu-io/open-design"><img src="docs/assets/star-us.png" alt="Star Open Design on GitHub — github.com/nexu-io/open-design" width="100%" /></a>
 </p>
 If this saved you thirty minutes — give it a ★. Stars don't pay rent, but they tell the next designer, agent, and contributor that this experiment is worth their attention. One click, three seconds, real signal: [github.com/nexu-io/open-design](https://github.com/nexu-io/open-design).
 ## Contributing
 Issues, PRs, new skills, and new design systems are all welcome. The highest-leverage contributions are usually one folder, one Markdown file, or one PR-sized adapter:
@@ -39,7 +39,7 @@ OD 站在四个开源项目的肩膀上：
 | | 你拿到的 |
 |---|---|
-| **支持的 coding agent** | Claude Code · Codex CLI · Cursor Agent · Gemini CLI · OpenCode · Qwen Code · 托管 API · BYOK 兜底（Anthropic · OpenAI 兼容 · Azure · Google Gemini，AWS Bedrock 与 GCP Vertex 通过代理接入） |
+| **支持的 coding agent** | Claude Code · Codex CLI · Cursor Agent · Gemini CLI · OpenCode · Qwen Code · Anthropic API（BYOK 兜底） |
 | **内置 design system** | **71 套** —— 2 套手写起手 + 69 套从 [`awesome-design-md`][acd2] 导入的产品系统（Linear、Stripe、Vercel、Airbnb、Tesla、Notion、Anthropic、Apple、Cursor、Supabase、Figma…） |
 | **内置 skill** | **19 个** —— 原型 / deck / 移动端 / dashboard / pricing / docs / blog / SaaS landing，外加 10 个文档与办公产物模板（PM 规范、周报、OKR、runbook、看板…） |
 | **视觉方向** | 5 套精选流派（Editorial Monocle · Modern Minimal · Tech Utility · Brutalist · Soft Warm），每一套自带 OKLch 色板 + 字体栈 |
@@ -180,7 +180,7 @@ OD 站在四个开源项目的肩膀上：
 ### 1 · 我们不带 agent，你的就够好
-Daemon 启动时扫 `PATH`，找 [`claude`](https://docs.anthropic.com/en/docs/claude-code)、[`codex`](https://github.com/openai/codex)、[`cursor-agent`](https://www.cursor.com/cli)、[`gemini`](https://github.com/google-gemini/gemini-cli)、[`opencode`](https://opencode.ai/)、[`qwen`](https://github.com/QwenLM/qwen-code)。哪个在就用哪个 —— 通过 stdio 驱动，每个 CLI 一个 adapter。灵感来自 [`multica`](https://github.com/multica-ai/multica) 和 [`cc-switch`](https://github.com/farion1231/cc-switch)。一个 CLI 都没有？`托管 API · BYOK` 就是同一条管线减去 spawn —— 浏览器直连 **Anthropic**、任意 **OpenAI 兼容**端点（OpenRouter / LiteLLM / DeepSeek / Groq / Together / Mistral …）、**Azure OpenAI**、或 **Google Gemini**。在 Settings 里选渠道、贴 Key、走起。AWS Bedrock 和 GCP Vertex 上的 Anthropic 模型按同样的方式接入：服务端跑一个 LiteLLM（或同类）代理，再把 `Anthropic` 渠道指向它 —— SigV4 / GCP JWT 签名应留在服务器，不放进浏览器。
+Daemon 启动时扫 `PATH`，找 [`claude`](https://docs.anthropic.com/en/docs/claude-code)、[`codex`](https://github.com/openai/codex)、[`cursor-agent`](https://www.cursor.com/cli)、[`gemini`](https://github.com/google-gemini/gemini-cli)、[`opencode`](https://opencode.ai/)、[`qwen`](https://github.com/QwenLM/qwen-code)。哪个在就用哪个 —— 通过 stdio 驱动，每个 CLI 一个 adapter。灵感来自 [`multica`](https://github.com/multica-ai/multica) 和 [`cc-switch`](https://github.com/farion1231/cc-switch)。一个 CLI 都没有？`Anthropic API · BYOK` 就是同一条管线减去 spawn。
 ### 2 · Skill 是文件，不是插件
@@ -227,10 +227,8 @@ DISCOVERY 指令         （turn-1 表单、turn-2 品牌分支、TodoWrite、
               │ /api/* （dev 走代理）             │ direct (BYOK)
               ▼                                   ▼
   ┌──────────────────────┐              ┌──────────────────────┐
-   │   本地 daemon         │              │  托管 API 路由器       │
+   │   本地 daemon         │              │   Anthropic SDK      │
-   │   （Express + SQLite）│              │  Anthropic · OpenAI   │
+   │   （Express + SQLite）│              │   （浏览器兜底）      │
   │                      │              │  兼容 · Azure · Google│
   │                      │              │  Gemini               │
   │                      │              └──────────────────────┘
   │   /api/agents        │
   │   /api/skills        │
@@ -270,7 +268,7 @@ open http://localhost:5173
 1. 检测你 `PATH` 上有哪些 agent CLI，自动选一个。
 2. 加载 19 个 skill + 71 套 design system。
-3. 弹欢迎对话框，让你挑一个托管 API 渠道 —— **Anthropic**、**OpenAI 兼容**（OpenRouter / LiteLLM / DeepSeek / Groq / Together / Mistral / OpenAI）、**Azure OpenAI** 或 **Google Gemini** —— 并贴上对应的 Key（仅 BYOK 兜底路径需要；要在浏览器里调 AWS Bedrock / GCP Vertex 上的 Anthropic 模型，建议在服务器跑一个 LiteLLM 代理，再把 `Anthropic` 渠道指向它）。
+3. 弹欢迎对话框，让你贴 Anthropic key（仅 BYOK 兜底路径需要）。
 4. **自动创建 `./.od/`** —— 本地运行时目录，存放 SQLite 项目库、各项目工作区、保存下来的 artifact。**没有** `od init` 这一步，daemon 启动时会自己 `mkdir`。
 输入需求，回车，看 question form 跳出来，填，看 todo 卡片流动，看 artifact 渲染。点 **Save to disk** 或导出整个项目 ZIP。
@@ -336,12 +334,7 @@ open-design/
 │   │   └── zip.ts                 ← 项目打包
 │   ├── providers/
 │   │   ├── daemon.ts              ← /api/chat SSE 流消费者
-│   │   ├── model.ts               ← BYOK 渠道路由（anthropic / openai / azure / google）
+│   │   ├── anthropic.ts           ← BYOK Anthropic SDK 路径
 │   │   ├── anthropic.ts           ← Anthropic SDK 路径（也涵盖任意 Anthropic 兼容代理）
 │   │   ├── openai.ts              ← OpenAI 兼容 SSE（OpenRouter / LiteLLM / DeepSeek / Groq / Together）
 │   │   ├── azure.ts               ← Azure OpenAI 部署 URL + api-key 头
 │   │   ├── google.ts              ← Google Generative Language streamGenerateContent
 │   │   ├── presets.ts             ← Settings 中各渠道的默认值
 │   │   └── registry.ts            ← /api/agents、/api/skills、/api/design-systems
 │   └── state/                     ← config + projects（localStorage + daemon 持久化）
 │
@@ -506,25 +499,10 @@ Daemon 启动时从 `PATH` 自动检测，无需配置。
 | [Gemini CLI](https://github.com/google-gemini/gemini-cli) | `gemini` | line-buffered | `gemini -p` |
 | [OpenCode](https://opencode.ai/) | `opencode` | line-buffered | `opencode run` |
 | [Qwen Code](https://github.com/QwenLM/qwen-code) | `qwen` | line-buffered | `qwen -p` |
-| 托管 API · BYOK | n/a | SSE 直连 | 没装任何 CLI 时的浏览器兜底 —— 在下方任意一个渠道里挑一个 |
+| Anthropic API · BYOK | n/a | SSE 直连 | 没装任何 CLI 时的浏览器兜底 |
 加一个新 CLI = 在 [`daemon/agents.js`](daemon/agents.js) 里加一项。流式格式从 `claude-stream-json`（类型化事件）和 `plain`（原始文本）两种里选一个。
 ### 托管 API 渠道（BYOK 兜底）
 没检测到 CLI 时，OD 会从浏览器直连一个托管端点。在 **Settings → 托管 API** 里挑一个渠道，贴 Key，按需改 Base URL。
 | 渠道 | 报文格式 | 覆盖范围 |
 |---|---|---|
 | **Anthropic** | `@anthropic-ai/sdk` | `api.anthropic.com`，以及任意 Anthropic 兼容代理（LiteLLM、自建网关、**AWS Bedrock** 与 **GCP Vertex** 通过服务端代理接入） |
 | **OpenAI 兼容** | `/chat/completions` SSE | OpenAI 官方、[OpenRouter](https://openrouter.ai)、[LiteLLM 代理](https://docs.litellm.ai/)、[DeepSeek](https://platform.deepseek.com/)、[Groq](https://groq.com/)、[Together](https://together.ai/)、[Mistral](https://mistral.ai/)，以及任意 OpenAI 形态的端点 |
 | **Azure OpenAI** | `/openai/deployments/<deployment>/chat/completions` SSE + `api-key` 头 | Azure 托管的 OpenAI 部署。Base URL 是资源终结点，Model 是部署名，再加 Azure 的 `api-version` |
 | **Google Gemini** | `:streamGenerateContent?alt=sse` | Google Generative Language API 直连（Gemini 系列） |
 **关于 AWS Bedrock 与 GCP Vertex 上的 Anthropic 模型：**两者都需要凭证签名（SigV4 / GCP service-account JWT），用浏览器里长期存放的 BYOK 凭证去签是不安全的。推荐做法：在服务器端跑一个代理（[LiteLLM](https://docs.litellm.ai/) 同时支持 Anthropic 兼容和 OpenAI 兼容），把 `Anthropic` 或 `OpenAI 兼容` 渠道的 Base URL 指向代理，签名留在服务器端。
 加第五种报文格式很机械：`ModelProvider` 里加一行、[`src/providers/presets.ts`](src/providers/presets.ts) 里加一项、和 [`anthropic.ts` / `openai.ts` / `azure.ts` / `google.ts`](src/providers/) 一起放一个 `stream<X>` 函数、[`src/providers/model.ts`](src/providers/model.ts) 里再加一个 `case`。
 ## 引用与师承
 每一个被借鉴的开源项目都列在这里。点链接可以验证师承。
@@ -560,14 +538,6 @@ Daemon 启动时从 `PATH` 自动检测，无需配置。
 这是一个早期实现 —— 闭环（检测 → 选 skill + design system → 对话 → 解析 `<artifact>` → 预览 → 保存）已经端到端跑通。提示词栈和 skill 库是价值最重的部分，目前已稳定。组件级 UI 仍在每天迭代。
 ## 给我们点个 Star
 <p align="center">
  <a href="https://github.com/nexu-io/open-design"><img src="docs/assets/star-us.png" alt="给 Open Design 点个 Star —— github.com/nexu-io/open-design" width="100%" /></a>
 </p>
 如果这套东西帮你省了半小时，给它一个 ★。Star 不付房租，但它告诉下一个设计师、Agent 和贡献者：这个实验值得他们的注意力。一次点击、三秒钟、真实信号：[github.com/nexu-io/open-design](https://github.com/nexu-io/open-design)。
 ## 贡献
 欢迎 issue、PR、新 skill、新 design system。收益最高的贡献往往就是一个文件夹、一份 Markdown，或者一个 PR 大小的 adapter：
@@ -7,12 +7,7 @@ import path from 'node:path';
 const execFileP = promisify(execFile);
 // Each entry defines how to invoke the agent in non-interactive "one-shot" mode.
-// `buildArgs(prompt, imagePaths, extraAllowedDirs)` returns argv for the child
+// `buildArgs(prompt, imagePaths)` returns argv for the child process.
 // process. `extraAllowedDirs` is a list of absolute directories the agent must
 // be permitted to read files from (skill seeds, design-system specs) that live
 // outside the project cwd. Currently only Claude Code wires this through
 // (`--add-dir`); other agents either inherit broader access or run with cwd
 // boundaries we can't widen via flags.
 // `streamFormat` hints to the daemon how to interpret stdout:
 //   - 'claude-stream-json' : line-delimited JSON emitted by Claude Code's
 //     `--output-format stream-json`. Daemon parses it into typed events
@@ -24,23 +19,14 @@ export const AGENT_DEFS = [
    name: 'Claude Code',
    bin: 'claude',
    versionArgs: ['--version'],
-    buildArgs: (prompt, _imagePaths, extraAllowedDirs = []) => {
+    buildArgs: (prompt) => [
-      const args = [
+      '-p',
-        '-p',
+      prompt,
-        prompt,
+      '--output-format',
-        '--output-format',
+      'stream-json',
-        'stream-json',
+      '--verbose',
-        '--verbose',
+      '--include-partial-messages',
-        '--include-partial-messages',
+    ],
      ];
      const dirs = (extraAllowedDirs || []).filter(
        (d) => typeof d === 'string' && d.length > 0,
      );
      if (dirs.length > 0) {
        args.push('--add-dir', ...dirs);
      }
      return args;
    },
    streamFormat: 'claude-stream-json',
  },
  {
@@ -769,17 +769,7 @@ export async function startServer({ port = 7456 } = {}) {
      safeImages.length ? `\n\n${safeImages.map((p) => `@${p}`).join(' ')}` : '',
    ].join('');
-    // Skill seeds (`skills/<id>/assets/template.html`) and design-system
+    const args = def.buildArgs(composed, safeImages);
    // specs (`design-systems/<id>/DESIGN.md`) live outside the project cwd.
    // The composed system prompt asks the agent to Read them via absolute
    // paths in the skill-root preamble — without an explicit allowlist,
    // Claude Code blocks those reads (issue #6: "no permission to read
    // skills template"). We surface both roots so any agent that honours
    // `--add-dir` can resolve those side files.
    const extraAllowedDirs = [SKILLS_DIR, DESIGN_SYSTEMS_DIR].filter(
      (d) => fs.existsSync(d),
    );
    const args = def.buildArgs(composed, safeImages, extraAllowedDirs);
    res.setHeader('Content-Type', 'text/event-stream');
    res.setHeader('Cache-Control', 'no-cache, no-transform');
@@ -1,743 +0,0 @@
 <!doctype html>
 <html lang='en'>
 <head>
 <meta charset='utf-8' />
 <title>Open Design — Star us on GitHub</title>
 <link rel='preconnect' href='https://fonts.googleapis.com'>
 <link rel='preconnect' href='https://fonts.gstatic.com' crossorigin>
 <link href='https://fonts.googleapis.com/css2?family=Fraunces:ital,opsz,wght@0,9..144,300;0,9..144,500;0,9..144,700;1,9..144,500;1,9..144,700&family=JetBrains+Mono:wght@400;500&family=Inter:wght@400;500;600&display=swap' rel='stylesheet'>
 <style>
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 </style>
 </head>
 <body>
  <header>
    <div class='mono l'>Open Design · Community · 2026 Edition</div>
    <div class='center'><span class='star'>★</span>open.design</div>
    <div class='mono r'>Cover · 03 / 08 · Star Us</div>
  </header>
  <main>
    <section class='left'>
      <div>
        <div class='eyebrow'>
          <span class='pill gold'>★ STAR US</span>
          <span class='pill alt'>Open Source · Apache 2.0</span>
        </div>
        <h1>
          If this saved<br/>
          you <em>thirty</em><br/>
          minutes,<br/>
          give it a <span class='star-glyph'>★</span>.
        </h1>
        <p class='lede'>
          Open Design is built and maintained in the open. <b>Stars don't pay rent —</b>
          but they tell the next designer, agent, and contributor that this experiment
          is worth their attention. One click, three seconds, real signal.
        </p>
        <div class='url-card'>
          <span class='arrow'>· DROP BY →</span>
          <span class='url'>github.com/<b>nexu-io/open-design</b></span>
          <span class='copybtn'>· COPY</span>
        </div>
      </div>
      <div class='meta'>
        <div class='cell'>
          <div class='num'>71</div>
          <div class='lbl'>Design<br/>Systems</div>
        </div>
        <div class='cell'>
          <div class='num'>19</div>
          <div class='lbl'>Composable<br/>Skills</div>
        </div>
        <div class='cell'>
          <div class='num'>06</div>
          <div class='lbl'>Coding<br/>Agents</div>
        </div>
        <div class='cell'>
          <div class='num'><span class='gold'>★</span></div>
          <div class='lbl'>One click =<br/>one signal</div>
        </div>
      </div>
    </section>
    <!-- RIGHT: stylized GitHub repo header -->
    <section class='right'>
      <div class='stage'>
        <!-- Pointing note above the star -->
        <div class='point tap'>
          <div class='note'>Tap the <span class='gold'>★</span> Star<br/>top-right.</div>
          <div class='sub'>· three seconds · one click ·</div>
        </div>
        <!-- arc arrow from the note down to the Star button -->
        <svg class='arrow-svg' style='top:30px; right:30px; width:200px; height:200px;' viewBox='0 0 200 200' fill='none'>
          <path d='M 30 60 C 60 90, 120 120, 168 168' stroke='#f0833f' stroke-width='2.5' stroke-linecap='round' fill='none' stroke-dasharray='2 8'/>
          <path d='M 152 156 L 168 170 L 162 150' stroke='#f0833f' stroke-width='2.5' stroke-linecap='round' stroke-linejoin='round' fill='none'/>
        </svg>
        <!-- sparkles -->
        <span class='sparkle' style='top:200px; right:30px; font-size:18px;'>✦</span>
        <span class='sparkle' style='top:260px; right:120px; font-size:14px; opacity:.7;'>✦</span>
        <span class='sparkle' style='top:150px; right:240px; font-size:12px; opacity:.55;'>✦</span>
        <div class='window'>
          <div class='winbar'>
            <div class='dots'>
              <span class='dot r'></span><span class='dot y'></span><span class='dot g'></span>
            </div>
            <div class='urlbar'>
              <span class='lock'>🔒</span>
              <span>github.com/<b>nexu-io/open-design</b></span>
            </div>
          </div>
          <div class='ghnav'>
            <svg class='logo' viewBox='0 0 16 16' fill='currentColor'>
              <path d='M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.012 8.012 0 0 0 16 8c0-4.42-3.58-8-8-8z'/>
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            <div class='crumbs'>
              <span class='org'>nexu-io</span>
              <span class='slash'>/</span>
              <span class='repo'>open-design</span>
            </div>
            <span class='private'>Public</span>
          </div>
          <div class='ghhead'>
            <div class='row'>
              <div class='repotitle'>
                <svg class='icon' width='18' height='18' viewBox='0 0 16 16' fill='currentColor'>
                  <path fill-rule='evenodd' d='M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.692 1.72.75.75 0 0 1-1.034 1.084A2.5 2.5 0 0 1 2 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 0 1 1-1h8zM5 12.25v3.25a.25.25 0 0 0 .4.2l1.45-1.087a.25.25 0 0 1 .3 0L8.6 15.7a.25.25 0 0 0 .4-.2v-3.25a.25.25 0 0 0-.25-.25h-3.5a.25.25 0 0 0-.25.25z'/>
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                <span class='sep'>/</span>
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                <span class='badge'>Public</span>
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                  <span>Edit Pins</span>
                  <span class='caret'></span>
                </span>
                <span class='ghbtn'>
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          </div>
          <div class='ghbody'>
            <div>
              <div class='desc'>
                <span class='em'>★</span> Local-first open replica of Anthropic's <b>Claude Design</b>.
                ⚡ 19 Skills · ✶ 71 brand-grade Design Systems · ⛁ sandboxed preview ·
                ⇩ HTML / PDF / PPTX export. Runs on Claude Code · Codex · Cursor · Gemini CLI · OpenCode · Qwen.
              </div>
              <div class='topics'>
                <span class='topic'>react</span>
                <span class='topic'>design</span>
                <span class='topic'>design-systems</span>
                <span class='topic'>typescript</span>
                <span class='topic'>skills</span>
                <span class='topic'>cursor</span>
                <span class='topic'>local-first</span>
                <span class='topic'>byok</span>
                <span class='topic'>claude</span>
                <span class='topic'>ai-agents</span>
              </div>
            </div>
            <div class='stats'>
              <div class='row'>
                <span>Apache 2.0</span>
                <svg class='icon' width='14' height='14' viewBox='0 0 16 16' fill='currentColor'><path d='M8.75.75V2h.985c.304 0 .603.08.867.231l1.29.736c.038.022.08.033.124.033h2.234a.75.75 0 0 1 0 1.5h-.427l2.111 4.692a.75.75 0 0 1-.154.838l-.53-.53.529.531-.001.002-.002.002-.006.006-.006.005-.01.01-.045.04c-.21.176-.441.327-.686.45C14.556 10.78 13.88 11 13 11a4.498 4.498 0 0 1-2.023-.454 3.544 3.544 0 0 1-.686-.45l-.045-.04-.016-.015-.006-.006-.004-.004v-.001a.75.75 0 0 1-.154-.838L12.178 4.5h-.162c-.305 0-.604-.079-.868-.231l-1.29-.736a.245.245 0 0 0-.124-.033H8.75V13h2.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1 0-1.5h2.5V3.5h-.984a.245.245 0 0 0-.124.033l-1.289.737c-.265.15-.564.23-.869.23h-.162l2.112 4.692a.75.75 0 0 1-.154.838l-.53-.53.529.531-.001.002-.002.002-.006.006-.016.015-.045.04c-.21.176-.441.327-.686.45C4.556 10.78 3.88 11 3 11a4.498 4.498 0 0 1-2.023-.454 3.544 3.544 0 0 1-.686-.45l-.045-.04-.016-.015-.006-.006-.004-.004v-.001a.75.75 0 0 1-.154-.838L2.178 4.5H1.75a.75.75 0 0 1 0-1.5h2.234a.249.249 0 0 0 .125-.033l1.288-.737c.265-.15.564-.23.869-.23h.984V.75a.75.75 0 0 1 1.5 0Z'/></svg>
              </div>
              <div class='row'><b>3</b> Commits</div>
              <div class='row'><b>2</b> Branches</div>
              <div class='row'><b>0</b> Tags</div>
              <div class='row'><b>0</b> Issues</div>
              <div class='row' style='color:var(--gold);'>★ <b style='color:var(--gold);'>1</b> Star · be the next</div>
            </div>
          </div>
        </div>
        <div class='stamp'>
          <span><span class='big'>★</span>STAR<br/>US!</span>
        </div>
      </div>
    </section>
  </main>
  <footer>
    <div class='mono l'>Local-first · BYOK · Apache 2.0</div>
    <div class='c'>· git clone · pnpm install · pnpm dev ·</div>
    <div class='mono r'>github.com/nexu-io/open-design</div>
  </footer>
 </body>
 </html>
@@ -11,7 +11,7 @@
  "scripts": {
    "daemon": "node daemon/cli.js --no-open",
    "dev": "vite",
-    "dev:all": "node scripts/dev-all.mjs",
+    "dev:all": "concurrently -k -n daemon,web -c cyan,magenta \"npm:daemon\" \"npm:dev\"",
    "build": "tsc -b && vite build",
    "preview": "vite preview",
    "typecheck": "tsc -b --noEmit",
@@ -1,84 +0,0 @@
 #!/usr/bin/env node
 // Launcher for `npm run dev:all`.
 //
 // Probes for free ports for the daemon (OD_PORT, default 7456) and the Vite
 // dev server (VITE_PORT, default 5173) before spawning `concurrently`, so a
 // stray process holding either port doesn't kill the whole boot. The
 // resolved ports are exported into the child env, which means:
 //   * the daemon's cli.js sees the new OD_PORT and binds to it
 //   * vite.config.ts reads the same OD_PORT and points its /api proxy at
 //     the daemon's actual port
 //   * Vite itself binds to VITE_PORT
 //
 // If a port is busy we walk forward up to PORT_SEARCH_RANGE steps and log
 // the switch so the user notices.
 import { spawn } from 'node:child_process';
 import net from 'node:net';
 const HOST = '127.0.0.1';
 const PORT_SEARCH_RANGE = 50;
 function isPortFree(port, host = HOST) {
  return new Promise((resolve) => {
    const server = net.createServer();
    server.unref();
    server.once('error', () => resolve(false));
    server.listen({ port, host, exclusive: true }, () => {
      server.close(() => resolve(true));
    });
  });
 }
 async function findFreePort(start, label) {
  for (let port = start; port < start + PORT_SEARCH_RANGE; port++) {
    if (await isPortFree(port)) return port;
  }
  throw new Error(
    `[dev:all] could not find a free ${label} port near ${start} (tried ${PORT_SEARCH_RANGE})`,
  );
 }
 const desiredDaemon = Number(process.env.OD_PORT) || 7456;
 const desiredVite = Number(process.env.VITE_PORT) || 5173;
 const daemonPort = await findFreePort(desiredDaemon, 'daemon');
 const vitePort = await findFreePort(desiredVite, 'vite');
 if (daemonPort !== desiredDaemon) {
  console.log(
    `[dev:all] daemon port ${desiredDaemon} is busy, switching to ${daemonPort}`,
  );
 }
 if (vitePort !== desiredVite) {
  console.log(
    `[dev:all] vite port ${desiredVite} is busy, switching to ${vitePort}`,
  );
 }
 const env = {
  ...process.env,
  OD_PORT: String(daemonPort),
  VITE_PORT: String(vitePort),
 };
 // We spawn the local `concurrently` bin via shell so Windows .cmd shims
 // resolve correctly. The `npm:daemon` / `npm:dev` shorthand runs the
 // matching package.json scripts, so any future tweak to those scripts is
 // picked up automatically.
 const child = spawn(
  'concurrently',
  ['-k', '-n', 'daemon,web', '-c', 'cyan,magenta', 'npm:daemon', 'npm:dev'],
  { env, stdio: 'inherit', shell: true },
 );
 child.on('exit', (code, signal) => {
  if (signal) process.kill(process.pid, signal);
  else process.exit(code ?? 0);
 });
 for (const sig of ['SIGINT', 'SIGTERM']) {
  process.on(sig, () => {
    if (!child.killed) child.kill(sig);
  });
 }
@@ -116,7 +116,6 @@ export function App() {
    const withOnboarding: AppConfig = { ...next, onboardingCompleted: true };
    saveConfig(withOnboarding);
    setConfig(withOnboarding);
    setSettingsOpen(false);
  }, []);
  const handleModeChange = useCallback(
@@ -1,6 +1,5 @@
 import { useEffect, useMemo, useRef, useState } from 'react';
 import { useT } from '../i18n';
 import { providerLabel } from '../providers/presets';
 import { AgentIcon } from './AgentIcon';
 import { Icon } from './Icon';
 import type { AgentInfo, AppConfig, ExecMode } from '../types';
@@ -83,11 +82,11 @@ export function AvatarMenu({
            <span className="who">
              {config.mode === 'daemon'
                ? t('avatar.localCli')
-                : providerLabel(config.provider)}
+                : t('avatar.anthropicApi')}
            </span>
            <span className="where">
              {config.mode === 'api'
-                ? `${config.model}${config.baseUrl ? ` · ${safeHost(config.baseUrl)}` : ''}`
+                ? safeHost(config.baseUrl)
                : currentAgent
                  ? `${currentAgent.name}${currentAgent.version ? ` · ${currentAgent.version}` : ''}`
                  : t('avatar.noAgentSelected')}
@@ -1,6 +1,5 @@
 import { useEffect, useMemo, useRef, useState } from 'react';
 import { useT } from '../i18n';
 import { providerLabel } from '../providers/presets';
 import type {
  AgentInfo,
  AppConfig,
@@ -83,17 +82,16 @@ export function EntryView({
  const envMetaLine = useMemo(() => {
    if (config.mode === 'api') {
      const provider = providerLabel(config.provider);
      try {
-        return `${provider} · ${config.model} · ${new URL(config.baseUrl).host}`;
+        return `${config.model} · ${new URL(config.baseUrl).host}`;
      } catch {
-        return `${provider} · ${config.model}`;
+        return config.model;
      }
    }
    return currentAgent
      ? `${currentAgent.name}${currentAgent.version ? ` · ${currentAgent.version}` : ''}`
      : t('settings.noAgentSelected');
-  }, [config.mode, config.model, config.baseUrl, config.provider, currentAgent, t]);
+  }, [config.mode, config.model, config.baseUrl, currentAgent, t]);
  // 'Use this prompt' on an example card is a fast path — skip the form and
  // create the project immediately with sane defaults derived from the skill,
@@ -1,8 +1,8 @@
 import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import { createArtifactParser } from '../artifacts/parser';
 import { useT } from '../i18n';
 import { streamMessage } from '../providers/anthropic';
 import { streamViaDaemon } from '../providers/daemon';
 import { streamModel } from '../providers/model';
 import {
  fetchDesignSystem,
  fetchProjectFiles,
@@ -501,7 +501,7 @@ export function ProjectView({
        });
      } else {
        pushEvent({ kind: 'status', label: 'requesting', detail: config.model });
-        void streamModel(config, systemPrompt, nextHistory, controller.signal, {
+        void streamMessage(config, systemPrompt, nextHistory, controller.signal, {
          onDelta: (delta) => {
            handlers.onDelta(delta);
            handlers.onAgentEvent({ kind: 'text', text: delta });
@@ -1,9 +1,8 @@
 import { useEffect, useMemo, useState } from 'react';
 import { LOCALE_LABEL, LOCALES, useI18n } from '../i18n';
 import type { Locale } from '../i18n';
 import { PROVIDER_ORDER, PROVIDER_PRESETS } from '../providers/presets';
 import { AgentIcon } from './AgentIcon';
-import type { AgentInfo, AppConfig, ExecMode, ModelProvider } from '../types';
+import type { AgentInfo, AppConfig, ExecMode } from '../types';
 interface Props {
  initial: AppConfig;
@@ -15,6 +14,12 @@ interface Props {
  onRefreshAgents: () => void;
 }
 const SUGGESTED_MODELS = [
  'claude-opus-4-5',
  'claude-sonnet-4-5',
  'claude-haiku-4-5',
 ];
 export function SettingsDialog({
  initial,
  agents,
@@ -43,38 +48,10 @@ export function SettingsDialog({
  const setMode = (mode: ExecMode) => setCfg((c) => ({ ...c, mode }));
  // Switching providers swaps in that provider's defaults, but preserves
  // any non-empty values the user already typed — they may have a custom
  // baseUrl (e.g. an OpenRouter URL while staying on the openai provider)
  // they don't want clobbered. Empty fields fall back to the preset.
  const setProvider = (provider: ModelProvider) => {
    setCfg((c) => {
      if (c.provider === provider) return c;
      const preset = PROVIDER_PRESETS[provider];
      return {
        ...c,
        provider,
        baseUrl: c.baseUrl?.trim() ? c.baseUrl : preset.baseUrl,
        model: c.model?.trim() ? c.model : preset.defaultModel,
      };
    });
  };
  const activePreset = PROVIDER_PRESETS[cfg.provider];
  const canSave =
    cfg.mode === 'daemon'
      ? Boolean(cfg.agentId && agents.find((a) => a.id === cfg.agentId)?.available)
-      : Boolean(
+      : Boolean(cfg.apiKey.trim() && cfg.model.trim() && cfg.baseUrl.trim());
          cfg.apiKey.trim() &&
            cfg.model.trim() &&
            // Azure has no global default base URL — require the user to
            // paste their resource endpoint. Other providers ship a usable
            // default so a blank field falls back to the preset.
            (cfg.provider === 'azure'
              ? cfg.baseUrl.trim().length > 0
              : true),
        );
  return (
    <div className="modal-backdrop" onClick={onClose}>
@@ -210,41 +187,14 @@ export function SettingsDialog({
        ) : (
          <section className="settings-section">
            <div className="section-head">
-              <div>
+              <h3>{t('settings.apiSection')}</h3>
                <h3>{t('settings.apiSection')}</h3>
                <p className="hint">{t('settings.providerHint')}</p>
              </div>
            </div>
            <div
              className="seg-control"
              role="tablist"
              aria-label={t('settings.providerLabel')}
            >
              {PROVIDER_ORDER.map((id) => {
                const preset = PROVIDER_PRESETS[id];
                const active = cfg.provider === id;
                return (
                  <button
                    key={id}
                    type="button"
                    role="tab"
                    aria-selected={active}
                    className={'seg-btn' + (active ? ' active' : '')}
                    onClick={() => setProvider(id)}
                    title={preset.blurb}
                  >
                    <span className="seg-title">{preset.label}</span>
                    <span className="seg-meta">{preset.blurb}</span>
                  </button>
                );
              })}
            </div>
            <label className="field">
              <span className="field-label">{t('settings.apiKey')}</span>
              <div className="field-row">
                <input
                  type={showApiKey ? 'text' : 'password'}
-                  placeholder={activePreset.apiKeyPlaceholder}
+                  placeholder="sk-ant-..."
                  value={cfg.apiKey}
                  onChange={(e) => setCfg({ ...cfg, apiKey: e.target.value })}
                  autoFocus
@@ -267,11 +217,10 @@ export function SettingsDialog({
                type="text"
                value={cfg.model}
                list="suggested-models"
                placeholder={activePreset.defaultModel}
                onChange={(e) => setCfg({ ...cfg, model: e.target.value })}
              />
              <datalist id="suggested-models">
-                {activePreset.modelSuggestions.map((m) => (
+                {SUGGESTED_MODELS.map((m) => (
                  <option value={m} key={m} />
                ))}
              </datalist>
@@ -281,26 +230,10 @@ export function SettingsDialog({
              <input
                type="text"
                value={cfg.baseUrl}
                placeholder={activePreset.baseUrl || 'https://...'}
                onChange={(e) => setCfg({ ...cfg, baseUrl: e.target.value })}
              />
            </label>
            {activePreset.needsApiVersion ? (
              <label className="field">
                <span className="field-label">{t('settings.apiVersion')}</span>
                <input
                  type="text"
                  value={cfg.apiVersion ?? ''}
                  placeholder="2024-08-01-preview"
                  onChange={(e) =>
                    setCfg({ ...cfg, apiVersion: e.target.value })
                  }
                />
                <span className="hint">{t('settings.apiVersionHint')}</span>
              </label>
            ) : null}
            <p className="hint">{t('settings.apiHint')}</p>
            <p className="hint">{t('settings.proxyHint')}</p>
          </section>
        )}
@@ -343,7 +276,10 @@ export function SettingsDialog({
            type="button"
            className="primary"
            disabled={!canSave}
-            onClick={() => onSave(cfg)}
+            onClick={() => {
              onSave(cfg);
              onClose();
            }}
          >
            {welcome ? t('settings.getStarted') : t('common.save')}
          </button>
@@ -49,15 +49,15 @@ export const en: Dict = {
  'settings.kicker': 'Settings',
  'settings.title': 'Execution & model',
  'settings.subtitle':
-    'Choose between a local code-agent CLI and a hosted model provider (BYOK). Anthropic, OpenAI-compatible (OpenRouter / LiteLLM / DeepSeek / Groq …), Azure OpenAI, and Google Gemini are supported. Your API key is stored only in this browser.',
+    'Choose between a local code-agent CLI and the Anthropic API (BYOK). Your API key is stored only in this browser.',
  'settings.modeAria': 'Execution mode',
  'settings.modeDaemon': 'Local CLI',
  'settings.modeDaemonHelp': 'Run via a code-agent CLI on your machine',
  'settings.modeDaemonOffline': 'Daemon is not running',
  'settings.modeDaemonOfflineMeta': 'daemon offline',
  'settings.modeDaemonInstalledMeta': '{count} installed',
-  'settings.modeApi': 'Hosted API',
+  'settings.modeApi': 'Anthropic API',
-  'settings.modeApiMeta': 'BYOK · multi-provider',
+  'settings.modeApiMeta': 'BYOK',
  'settings.codeAgent': 'Code agent',
  'settings.codeAgentHint':
    'Detected by scanning your PATH. Pick the CLI you want generations to flow through.',
@@ -65,7 +65,7 @@ export const en: Dict = {
  'settings.rescanTitle': 'Re-scan PATH',
  'settings.noAgentsDetected':
    'No agents detected yet. Install one of Claude Code, Codex, Gemini CLI, OpenCode, Cursor Agent, or Qwen, then click Rescan.',
-  'settings.apiSection': 'Model endpoint',
+  'settings.apiSection': 'Anthropic API',
  'settings.apiKey': 'API key',
  'settings.showKey': 'Show key',
  'settings.hideKey': 'Hide key',
@@ -75,19 +75,11 @@ export const en: Dict = {
  'settings.baseUrl': 'Base URL',
  'settings.apiHint':
    'Calls go directly from this browser to the base URL you set. No proxy. The key never leaves localStorage.',
  'settings.providerLabel': 'Provider',
  'settings.providerHint':
    'Pick the wire format. Anthropic also covers any Anthropic-compatible proxy. OpenAI-compatible covers OpenRouter, LiteLLM, DeepSeek, Groq, Together, etc.',
  'settings.apiVersion': 'API version',
  'settings.apiVersionHint':
    'Azure REST api-version (e.g. 2024-08-01-preview). Leave blank to use the default.',
  'settings.proxyHint':
    'Tip: For AWS Bedrock or Google Vertex with Anthropic models, run a server-side proxy (LiteLLM works well) and point the Anthropic provider at it — credential signing belongs on the server, not the browser.',
  'settings.skipForNow': 'Skip for now',
  'settings.getStarted': 'Get started',
  'settings.envConfigure': 'Configure execution mode',
  'settings.localCli': 'Local CLI',
-  'settings.anthropicApi': 'Hosted API',
+  'settings.anthropicApi': 'Anthropic API',
  'settings.noAgentSelected': 'no agent selected',
  'settings.language': 'Language',
  'settings.languageHint': 'Switch the interface language. Saved to this browser.',
@@ -208,9 +200,9 @@ export const en: Dict = {
  'avatar.title': 'Account & settings',
  'avatar.localCli': 'Local CLI',
-  'avatar.anthropicApi': 'Hosted API',
+  'avatar.anthropicApi': 'Anthropic API',
  'avatar.useLocal': 'Use Local CLI',
-  'avatar.useApi': 'Use hosted API',
+  'avatar.useApi': 'Use Anthropic API',
  'avatar.codeAgent': 'Code agent',
  'avatar.rescan': 'Rescan PATH',
  'avatar.settings': 'Settings',
@@ -419,7 +411,7 @@ export const en: Dict = {
  'agentPicker.modeChoose': 'Choose execution mode',
  'agentPicker.localCli': 'Local CLI',
  'agentPicker.daemonOff': 'daemon off',
-  'agentPicker.byok': 'Hosted API · BYOK',
+  'agentPicker.byok': 'Anthropic API · BYOK',
  'agentPicker.selectAgent': 'Select a detected code-agent CLI',
  'agentPicker.noAgents': 'no agents on PATH',
  'agentPicker.notInstalled': 'not installed',
@@ -49,22 +49,22 @@ export const zhCN: Dict = {
  'settings.kicker': '设置',
  'settings.title': '执行模式与模型',
  'settings.subtitle':
-    '在本机的代码代理 CLI 与托管模型 API（自带 Key）之间切换。支持 Anthropic、OpenAI 兼容（OpenRouter / LiteLLM / DeepSeek / Groq 等）、Azure OpenAI 与 Google Gemini。API Key 只保存在当前浏览器中。',
+    '在本机的代码代理 CLI 与 Anthropic API（自带 Key）之间切换。API Key 只保存在当前浏览器中。',
  'settings.modeAria': '执行模式',
  'settings.modeDaemon': '本机 CLI',
  'settings.modeDaemonHelp': '通过本机的代码代理 CLI 执行',
  'settings.modeDaemonOffline': '后台守护进程未运行',
  'settings.modeDaemonOfflineMeta': '守护进程未运行',
  'settings.modeDaemonInstalledMeta': '已安装 {count} 个',
-  'settings.modeApi': '托管 API',
+  'settings.modeApi': 'Anthropic API',
-  'settings.modeApiMeta': '自带 Key · 多渠道',
+  'settings.modeApiMeta': '自带 Key',
  'settings.codeAgent': '代码代理',
  'settings.codeAgentHint': '通过扫描 PATH 自动检测，选择你希望使用的 CLI。',
  'settings.rescan': '↻ 重新扫描',
  'settings.rescanTitle': '重新扫描 PATH',
  'settings.noAgentsDetected':
    '尚未检测到任何代理。请安装 Claude Code、Codex、Gemini CLI、OpenCode、Cursor Agent 或 Qwen 中的一个，然后点击「重新扫描」。',
-  'settings.apiSection': '模型端点',
+  'settings.apiSection': 'Anthropic API',
  'settings.apiKey': 'API Key',
  'settings.showKey': '显示 Key',
  'settings.hideKey': '隐藏 Key',
@@ -74,19 +74,11 @@ export const zhCN: Dict = {
  'settings.baseUrl': 'Base URL',
  'settings.apiHint':
    '请求会从当前浏览器直连你设置的 Base URL，无中转代理。Key 只存放在 localStorage。',
  'settings.providerLabel': '渠道',
  'settings.providerHint':
    '选择请求格式。Anthropic 也涵盖任意 Anthropic 兼容代理；OpenAI 兼容涵盖 OpenRouter、LiteLLM、DeepSeek、Groq、Together 等。',
  'settings.apiVersion': 'API version',
  'settings.apiVersionHint':
    'Azure 的 api-version 查询参数（如 2024-08-01-preview）。留空则使用默认值。',
  'settings.proxyHint':
    '提示：若要在浏览器里使用 AWS Bedrock 或 Google Vertex 上的 Anthropic 模型，建议在服务器端跑一个 LiteLLM 代理，再把 Anthropic 渠道指向它 —— 凭证签名应留在服务器，不放进浏览器。',
  'settings.skipForNow': '暂时跳过',
  'settings.getStarted': '开始使用',
  'settings.envConfigure': '配置执行模式',
  'settings.localCli': '本机 CLI',
-  'settings.anthropicApi': '托管 API',
+  'settings.anthropicApi': 'Anthropic API',
  'settings.noAgentSelected': '尚未选择代理',
  'settings.language': '界面语言',
  'settings.languageHint': '切换界面语言，设置仅保存在当前浏览器。',
@@ -205,9 +197,9 @@ export const zhCN: Dict = {
  'avatar.title': '账户与设置',
  'avatar.localCli': '本机 CLI',
-  'avatar.anthropicApi': '托管 API',
+  'avatar.anthropicApi': 'Anthropic API',
  'avatar.useLocal': '使用本机 CLI',
-  'avatar.useApi': '使用托管 API',
+  'avatar.useApi': '使用 Anthropic API',
  'avatar.codeAgent': '代码代理',
  'avatar.rescan': '重新扫描 PATH',
  'avatar.settings': '设置',
@@ -408,7 +400,7 @@ export const zhCN: Dict = {
  'agentPicker.modeChoose': '选择执行模式',
  'agentPicker.localCli': '本机 CLI',
  'agentPicker.daemonOff': '守护进程未运行',
-  'agentPicker.byok': '托管 API · 自带 Key',
+  'agentPicker.byok': 'Anthropic API · 自带 Key',
  'agentPicker.selectAgent': '选择已检测到的代码代理 CLI',
  'agentPicker.noAgents': 'PATH 中未发现代理',
  'agentPicker.notInstalled': '未安装',
@@ -85,11 +85,6 @@ export interface Dict {
  'settings.model': string;
  'settings.baseUrl': string;
  'settings.apiHint': string;
  'settings.providerLabel': string;
  'settings.providerHint': string;
  'settings.apiVersion': string;
  'settings.apiVersionHint': string;
  'settings.proxyHint': string;
  'settings.skipForNow': string;
  'settings.getStarted': string;
  'settings.envConfigure': string;
@@ -1,56 +0,0 @@
 /**
 * Azure OpenAI streaming client. Wire format is OpenAI's (chat.completions
 * SSE), but the URL embeds the deployment name and an api-version query
 * string, and auth uses the `api-key` header rather than `Authorization:
 * Bearer`. We reuse streamChatCompletions() from openai.ts for the SSE
 * pump and only diverge on URL + headers.
 */
 import type { AppConfig, ChatMessage } from '../types';
 import type { StreamHandlers } from './anthropic';
 import { streamChatCompletions } from './openai';
 const DEFAULT_API_VERSION = '2024-08-01-preview';
 export async function streamAzure(
  cfg: AppConfig,
  system: string,
  history: ChatMessage[],
  signal: AbortSignal,
  handlers: StreamHandlers,
 ): Promise<void> {
  if (!cfg.apiKey) {
    handlers.onError(new Error('Missing Azure key — open Settings and paste one in.'));
    return;
  }
  if (!cfg.baseUrl) {
    handlers.onError(
      new Error('Missing Azure endpoint — set Base URL to https://<resource>.openai.azure.com.'),
    );
    return;
  }
  if (!cfg.model) {
    handlers.onError(
      new Error('Missing Azure deployment — set Model to your deployment name.'),
    );
    return;
  }
  const apiVersion = (cfg.apiVersion?.trim() || DEFAULT_API_VERSION);
  const url = buildAzureUrl(cfg.baseUrl, cfg.model, apiVersion);
  const body = {
    stream: true,
    max_tokens: 8192,
    messages: [
      ...(system ? [{ role: 'system', content: system }] : []),
      ...history.map((m) => ({ role: m.role, content: m.content })),
    ],
  };
  await streamChatCompletions(url, cfg.apiKey, body, signal, handlers, 'azure');
 }
 function buildAzureUrl(baseUrl: string, deployment: string, apiVersion: string): string {
  const base = baseUrl.replace(/\/+$/, '');
  return `${base}/openai/deployments/${encodeURIComponent(deployment)}/chat/completions?api-version=${encodeURIComponent(apiVersion)}`;
 }
@@ -1,105 +0,0 @@
 /**
 * Google Generative Language API streaming client (Gemini direct). The
 * REST surface is at generativelanguage.googleapis.com and accepts an
 * api key in the query string. We hit `:streamGenerateContent` with
 * `alt=sse` so the response arrives as a server-sent event stream we
 * can pump like the OpenAI one.
 */
 import type { AppConfig, ChatMessage } from '../types';
 import type { StreamHandlers } from './anthropic';
 export async function streamGoogle(
  cfg: AppConfig,
  system: string,
  history: ChatMessage[],
  signal: AbortSignal,
  handlers: StreamHandlers,
 ): Promise<void> {
  if (!cfg.apiKey) {
    handlers.onError(new Error('Missing API key — open Settings and paste one in.'));
    return;
  }
  if (!cfg.model) {
    handlers.onError(new Error('Missing model — set one in Settings.'));
    return;
  }
  const base = (cfg.baseUrl || 'https://generativelanguage.googleapis.com').replace(/\/+$/, '');
  const url = `${base}/v1beta/models/${encodeURIComponent(cfg.model)}:streamGenerateContent?alt=sse&key=${encodeURIComponent(cfg.apiKey)}`;
  const contents = history.map((m) => ({
    role: m.role === 'assistant' ? 'model' : 'user',
    parts: [{ text: m.content }],
  }));
  const body: Record<string, unknown> = { contents };
  if (system) {
    body.systemInstruction = { role: 'system', parts: [{ text: system }] };
  }
  let acc = '';
  try {
    const resp = await fetch(url, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(body),
      signal,
    });
    if (!resp.ok || !resp.body) {
      const text = await resp.text().catch(() => '');
      handlers.onError(new Error(`upstream ${resp.status}: ${text || 'no body'}`));
      return;
    }
    const reader = resp.body.getReader();
    const decoder = new TextDecoder();
    let buf = '';
    while (true) {
      const { value, done } = await reader.read();
      if (done) break;
      buf += decoder.decode(value, { stream: true });
      let idx: number;
      while ((idx = buf.indexOf('\n\n')) !== -1) {
        const frame = buf.slice(0, idx).trim();
        buf = buf.slice(idx + 2);
        if (!frame) continue;
        for (const line of frame.split('\n')) {
          if (!line.startsWith('data:')) continue;
          const payload = line.slice(5).trim();
          if (!payload) continue;
          let parsed: unknown;
          try {
            parsed = JSON.parse(payload);
          } catch {
            continue;
          }
          const delta = extractGeminiText(parsed);
          if (delta) {
            acc += delta;
            handlers.onDelta(delta);
          }
        }
      }
    }
    handlers.onDone(acc);
  } catch (err) {
    if ((err as Error).name === 'AbortError') return;
    handlers.onError(err instanceof Error ? err : new Error(String(err)));
  }
 }
 function extractGeminiText(payload: unknown): string {
  if (!payload || typeof payload !== 'object') return '';
  const candidates = (payload as { candidates?: unknown }).candidates;
  if (!Array.isArray(candidates) || candidates.length === 0) return '';
  const first = candidates[0] as { content?: { parts?: Array<{ text?: unknown }> } };
  const parts = first?.content?.parts;
  if (!Array.isArray(parts)) return '';
  let out = '';
  for (const p of parts) {
    if (typeof p?.text === 'string') out += p.text;
  }
  return out;
 }
@@ -1,32 +0,0 @@
 /**
 * BYOK model router. Picks a streaming client based on cfg.provider so
 * the rest of the app can stay provider-agnostic. Adding a fifth provider
 * later means: add an entry to ModelProvider, add a presets row, add a
 * `stream<X>` function, and one more `case` here.
 */
 import type { AppConfig, ChatMessage } from '../types';
 import type { StreamHandlers } from './anthropic';
 import { streamMessage as streamAnthropic } from './anthropic';
 import { streamAzure } from './azure';
 import { streamGoogle } from './google';
 import { streamOpenAI } from './openai';
 export async function streamModel(
  cfg: AppConfig,
  system: string,
  history: ChatMessage[],
  signal: AbortSignal,
  handlers: StreamHandlers,
 ): Promise<void> {
  switch (cfg.provider) {
    case 'openai':
      return streamOpenAI(cfg, system, history, signal, handlers);
    case 'azure':
      return streamAzure(cfg, system, history, signal, handlers);
    case 'google':
      return streamGoogle(cfg, system, history, signal, handlers);
    case 'anthropic':
    default:
      return streamAnthropic(cfg, system, history, signal, handlers);
  }
 }
@@ -1,135 +0,0 @@
 /**
 * OpenAI-compatible streaming client. Covers any endpoint that speaks the
 * `/chat/completions` SSE wire format — OpenAI proper, OpenRouter,
 * LiteLLM proxy, DeepSeek, Groq, Together, Mistral. Azure has its own
 * URL shape and lives in azure.ts.
 *
 * Browser fetch is fine here for the same BYOK reason streamMessage()
 * uses dangerouslyAllowBrowser: this is a local-first tool, the key is
 * the user's, it never leaves their machine. Move to a server proxy if
 * you ever ship a hosted build.
 */
 import type { AppConfig, ChatMessage } from '../types';
 import type { StreamHandlers } from './anthropic';
 export async function streamOpenAI(
  cfg: AppConfig,
  system: string,
  history: ChatMessage[],
  signal: AbortSignal,
  handlers: StreamHandlers,
 ): Promise<void> {
  if (!cfg.apiKey) {
    handlers.onError(new Error('Missing API key — open Settings and paste one in.'));
    return;
  }
  if (!cfg.baseUrl) {
    handlers.onError(new Error('Missing base URL — open Settings and set one.'));
    return;
  }
  const url = joinUrl(cfg.baseUrl, '/chat/completions');
  const body = {
    model: cfg.model,
    stream: true,
    max_tokens: 8192,
    messages: [
      ...(system ? [{ role: 'system', content: system }] : []),
      ...history.map((m) => ({ role: m.role, content: m.content })),
    ],
  };
  await streamChatCompletions(url, cfg.apiKey, body, signal, handlers, 'bearer');
 }
 // Shared SSE pump between the OpenAI and Azure clients — they only differ
 // in URL shape and auth header.
 export async function streamChatCompletions(
  url: string,
  apiKey: string,
  body: Record<string, unknown>,
  signal: AbortSignal,
  handlers: StreamHandlers,
  auth: 'bearer' | 'azure',
 ): Promise<void> {
  let acc = '';
  try {
    const headers: Record<string, string> = {
      'Content-Type': 'application/json',
    };
    if (auth === 'bearer') headers['Authorization'] = `Bearer ${apiKey}`;
    else headers['api-key'] = apiKey;
    const resp = await fetch(url, {
      method: 'POST',
      headers,
      body: JSON.stringify(body),
      signal,
    });
    if (!resp.ok || !resp.body) {
      const text = await resp.text().catch(() => '');
      handlers.onError(new Error(`upstream ${resp.status}: ${text || 'no body'}`));
      return;
    }
    const reader = resp.body.getReader();
    const decoder = new TextDecoder();
    let buf = '';
    while (true) {
      const { value, done } = await reader.read();
      if (done) break;
      buf += decoder.decode(value, { stream: true });
      // Frames are separated by a blank line. Split on \n\n; the trailing
      // partial frame stays in buf for the next iteration.
      let idx: number;
      while ((idx = buf.indexOf('\n\n')) !== -1) {
        const frame = buf.slice(0, idx).trim();
        buf = buf.slice(idx + 2);
        if (!frame) continue;
        // Each frame is one or more `data: ...` lines plus optional
        // `event:` / comments. We only care about `data:` payloads.
        for (const line of frame.split('\n')) {
          if (!line.startsWith('data:')) continue;
          const payload = line.slice(5).trim();
          if (!payload || payload === '[DONE]') continue;
          let parsed: unknown;
          try {
            parsed = JSON.parse(payload);
          } catch {
            continue;
          }
          const delta = extractDelta(parsed);
          if (delta) {
            acc += delta;
            handlers.onDelta(delta);
          }
        }
      }
    }
    handlers.onDone(acc);
  } catch (err) {
    if ((err as Error).name === 'AbortError') return;
    handlers.onError(err instanceof Error ? err : new Error(String(err)));
  }
 }
 function extractDelta(payload: unknown): string {
  if (!payload || typeof payload !== 'object') return '';
  const choices = (payload as { choices?: unknown }).choices;
  if (!Array.isArray(choices) || choices.length === 0) return '';
  const first = choices[0] as { delta?: { content?: unknown }; text?: unknown };
  if (first?.delta && typeof first.delta.content === 'string') {
    return first.delta.content;
  }
  // Some legacy / completion-style proxies emit `text` instead of delta.
  if (typeof first?.text === 'string') return first.text;
  return '';
 }
 function joinUrl(base: string, path: string): string {
  const b = base.replace(/\/+$/, '');
  const p = path.startsWith('/') ? path : `/${path}`;
  return `${b}${p}`;
 }
@@ -1,108 +0,0 @@
 /**
 * Provider presets — the BYOK side of the app supports four wire formats
 * (Anthropic-native, OpenAI-compatible, Azure OpenAI, Google Generative
 * Language). Each one ships with a default base URL and a short list of
 * suggested model ids so the SettingsDialog datalist gives the user a
 * head-start. The presets stay deliberately conservative: a user pointing
 * an `openai` provider at LiteLLM / OpenRouter / DeepSeek just types a
 * different baseUrl + model, no code change required.
 *
 * AWS Bedrock and Google Vertex aren't first-class providers here. Both
 * require credential signing (SigV4 for AWS, GCP service-account JWT for
 * Vertex) which is unsafe to do from the browser with long-lived BYOK
 * credentials. The recommended path is to run LiteLLM (or a similar
 * proxy) server-side and point the `anthropic` or `openai` provider at
 * that proxy's URL — the provider chooser surfaces this guidance.
 */
 import type { ModelProvider } from '../types';
 export interface ProviderPreset {
  id: ModelProvider;
  // Display name shown in the chooser and the env meta line.
  label: string;
  // Short marketing-style line shown under the provider card.
  blurb: string;
  // Default base URL preloaded into the form when the user picks this
  // provider for the first time. Empty string means "the user must fill
  // it in" (Azure has no global default).
  baseUrl: string;
  // Suggested model id (datalist anchor). The user can type anything.
  defaultModel: string;
  // Suggestions surfaced in the model field's <datalist>.
  modelSuggestions: string[];
  // Placeholder hint for the api key field.
  apiKeyPlaceholder: string;
  // Whether the provider requires the Azure-specific apiVersion field.
  needsApiVersion?: boolean;
 }
 export const PROVIDER_PRESETS: Record<ModelProvider, ProviderPreset> = {
  anthropic: {
    id: 'anthropic',
    label: 'Anthropic',
    blurb: 'Direct to api.anthropic.com or any Anthropic-compatible proxy (LiteLLM, AWS Bedrock / GCP Vertex via proxy).',
    baseUrl: 'https://api.anthropic.com',
    defaultModel: 'claude-sonnet-4-5',
    modelSuggestions: [
      'claude-opus-4-5',
      'claude-sonnet-4-5',
      'claude-haiku-4-5',
      'claude-3-5-sonnet-latest',
    ],
    apiKeyPlaceholder: 'sk-ant-...',
  },
  openai: {
    id: 'openai',
    label: 'OpenAI-compatible',
    blurb: 'Any OpenAI /chat/completions endpoint — OpenAI, OpenRouter, LiteLLM proxy, DeepSeek, Groq, Together, Mistral.',
    baseUrl: 'https://api.openai.com/v1',
    defaultModel: 'gpt-4o-mini',
    modelSuggestions: [
      'gpt-4o',
      'gpt-4o-mini',
      'anthropic/claude-3.5-sonnet',
      'google/gemini-2.0-flash',
      'deepseek/deepseek-chat',
      'meta-llama/llama-3.3-70b-instruct',
    ],
    apiKeyPlaceholder: 'sk-...',
  },
  azure: {
    id: 'azure',
    label: 'Azure OpenAI',
    blurb: 'Azure-hosted deployments. Base URL is your resource endpoint; Model is the deployment name.',
    baseUrl: '',
    defaultModel: '',
    modelSuggestions: [],
    apiKeyPlaceholder: 'azure key',
    needsApiVersion: true,
  },
  google: {
    id: 'google',
    label: 'Google Gemini',
    blurb: 'Google Generative Language API — Gemini family, key from aistudio.google.com.',
    baseUrl: 'https://generativelanguage.googleapis.com',
    defaultModel: 'gemini-2.0-flash',
    modelSuggestions: [
      'gemini-2.0-flash',
      'gemini-2.0-flash-lite',
      'gemini-1.5-pro',
      'gemini-1.5-flash',
    ],
    apiKeyPlaceholder: 'AIza...',
  },
 };
 export const PROVIDER_ORDER: ModelProvider[] = [
  'anthropic',
  'openai',
  'azure',
  'google',
 ];
 // True when the provider's wire format expects a deployment-specific URL
 // rather than a generic baseUrl + path. Today only Azure qualifies — kept
 // as a helper so callers don't have to memorize that.
 export function providerLabel(provider: ModelProvider): string {
  return PROVIDER_PRESETS[provider]?.label ?? provider;
 }
@@ -4,11 +4,9 @@ const STORAGE_KEY = 'open-design:config';
 export const DEFAULT_CONFIG: AppConfig = {
  mode: 'daemon',
  provider: 'anthropic',
  apiKey: '',
  baseUrl: 'https://api.anthropic.com',
  model: 'claude-sonnet-4-5',
  apiVersion: '',
  agentId: null,
  skillId: null,
  designSystemId: null,
@@ -1,25 +1,10 @@
 export type ExecMode = 'daemon' | 'api';
 // Which BYOK model endpoint to talk to in `mode === 'api'`. Each provider
 // has its own request shape — see src/providers/{anthropic,openai,azure,
 // google}.ts for the wire details. AWS Bedrock and Google Vertex are
 // reached via the `anthropic` provider pointed at an Anthropic-compatible
 // proxy (e.g. LiteLLM), which keeps signing on the server where the
 // long-lived AWS / GCP credentials belong.
 export type ModelProvider = 'anthropic' | 'openai' | 'azure' | 'google';
 export interface AppConfig {
  mode: ExecMode;
  // Active provider when `mode === 'api'`. Older configs that predate the
  // multi-provider rework default to 'anthropic' on load.
  provider: ModelProvider;
  apiKey: string;
  baseUrl: string;
  model: string;
  // Azure OpenAI only — the api-version query string the Azure REST
  // surface requires (e.g. '2024-08-01-preview'). Ignored by every other
  // provider so the same config can round-trip through localStorage.
  apiVersion?: string;
  agentId: string | null;
  skillId: string | null;
  designSystemId: string | null;
@@ -2,12 +2,11 @@ import { defineConfig } from 'vite';
 import react from '@vitejs/plugin-react';
 const DAEMON_PORT = Number(process.env.OD_PORT) || 7456;
 const VITE_PORT = Number(process.env.VITE_PORT) || 5173;
 export default defineConfig({
  plugins: [react()],
  server: {
-    port: VITE_PORT,
+    port: 5173,
    proxy: {
      '/api': {
        target: `http://127.0.0.1:${DAEMON_PORT}`,
Author	SHA1	Message	Date
pftom	19b5272f38	Merge branch 'main' into feat/optimize-naming	2026-04-28 16:23:44 +08:00
pftom	1337907df3	Merge branch 'main' of github.com:nexu-io/open-design	2026-04-28 16:20:14 +08:00
pftom	490bbe29c9	Merge branch 'feat/optimize-naming' of github.com:nexu-io/open-design into feat/optimize-naming	2026-04-28 16:16:51 +08:00
pftom	0eef347336	Update README and documentation for deck framework directives - Clarified DECK_FRAMEWORK_DIRECTIVE description in both English and Chinese README files to specify conditions for deck kind without a skill seed. - Added detailed workflow instructions in deck-framework.ts to emphasize the importance of copying the framework before adding content. - Enhanced discovery.ts to reinforce the framework-first approach for deck projects. - Updated system.ts to ensure proper handling of deck projects with and without bound skills, preventing re-authorship of scaling and navigation logic.	2026-04-28 16:11:46 +08:00
pftom	243e611eeb	Update README and documentation for deck framework directives - Clarified DECK_FRAMEWORK_DIRECTIVE description in both English and Chinese README files to specify conditions for deck kind without a skill seed. - Added detailed workflow instructions in deck-framework.ts to emphasize the importance of copying the framework before adding content. - Enhanced discovery.ts to reinforce the framework-first approach for deck projects. - Updated system.ts to ensure proper handling of deck projects with and without bound skills, preventing re-authorship of scaling and navigation logic.	2026-04-28 16:07:52 +08:00
pftom	985238403f	Add contributing guidelines in English and Chinese - Introduced CONTRIBUTING.md and CONTRIBUTING.zh-CN.md to provide clear instructions for contributors. - Outlined contribution types, local setup instructions, and merging criteria for skills and design systems. - Enhanced README files to reference the new contributing guidelines.	2026-04-28 16:02:17 +08:00
pftom	af3f96379a	Refactor project name from "Open Claude Design" to "Open Design" - Updated project name in package.json, package-lock.json, and README files. - Changed CLI commands and references from "ocd" to "od". - Adjusted file structure references in documentation and code to reflect new naming conventions. - Enhanced .gitignore to include new runtime data files. - Updated metadata in LICENSE file to match new project name.	2026-04-28 14:48:45 +08:00