From b298b52262fee81f75d6261b9cff57161405cdeb Mon Sep 17 00:00:00 2001 From: billowliu2 Date: Sun, 2 Aug 2026 13:56:01 +0800 Subject: [PATCH] =?UTF-8?q?v1.0.4:=20SYSTEM.md=20=E8=A7=A6=E5=8F=91?= =?UTF-8?q?=E4=BC=98=E5=8C=96=EF=BC=88=E5=A3=B0=E6=98=8E=20image=5Fin=20?= =?UTF-8?q?=E4=B9=9F=E8=83=BD=E8=87=AA=E5=8A=A8=E5=85=9C=E5=BA=95=E8=AF=BB?= =?UTF-8?q?=E5=89=AA=E8=B4=B4=E6=9D=BF=EF=BC=89=EF=BC=9BREADME=20=E6=96=B0?= =?UTF-8?q?=E5=A2=9E=20Claude=20Code=20=E5=AE=89=E8=A3=85=E8=AF=B4?= =?UTF-8?q?=E6=98=8E?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.en.md | 72 +++++++++++++++++++++++++++++++++++++ README.md | 89 +++++++++++++++++++++++++++++++++++++++++++--- SYSTEM.md | 37 ++++++++++--------- mcp/models-db.json | 2 +- package.json | 2 +- 5 files changed, 178 insertions(+), 24 deletions(-) diff --git a/README.en.md b/README.en.md index 1d6eeff..69c55cd 100644 --- a/README.en.md +++ b/README.en.md @@ -159,6 +159,78 @@ Both layers are fail-safe: a wrong judgment costs at most one wasted external ca the path/semantic signals). For a hard switch, simply `/plugins disable kimi-eyes` when running multimodal models. +## Claude Code usage (optional) + +kimi-eyes's MCP server is standard MCP, so it can be mounted directly into Claude +Code. **Run the commands below in a system terminal (PowerShell / Git Bash), not +inside Claude Code's own Bash tool** (the in-app environment mishandles options +like `--scope`). + +### 1. Prerequisites + +- Node.js ≥ 18 +- Claude Code CLI (`claude --version`) +- A multimodal vision API of your own + +### 2. Mount the MCP server (any of these) + +```bash +# User-scope (global, all projects) +claude mcp add --scope user kimi-eyes -- node D:\AIGC\Plugin\kimi-eyes\mcp\server.mjs + +# Project-scope only +claude mcp add kimi-eyes -- node D:\AIGC\Plugin\kimi-eyes\mcp\server.mjs + +# npx generic version (no local path; copy-paste on any machine) +claude mcp add --scope user kimi-eyes -- npx --prefer-online -y -p kimi-eyes kimi-eyes-mcp +``` + +### 3. Configure the vision API (one-time) + +```bash +npx kimi-eyes setup +``` + +> Same config is shared: kimi-eyes uses `~/.kimi-code/kimi-eyes/config.json` (or +> `VISION_*` env vars) under both Kimi Code and Claude Code. + +### 4. Guidance rules (CLAUDE.md) + +Create (or append to) `CLAUDE.md` in your project root; the repo root `CLAUDE.md` +is a ready-made example. Core rules: + +```markdown +# Kimi Eyes — Vision Assist (Claude Code) + +Whenever the user's request involves image content and you cannot see it directly: +1. Image path / @ reference → call `mcp__kimi-eyes__read_image` with that path. +2. Just screenshotted/copied, or media you cannot read → call + `mcp__kimi-eyes__read_clipboard_image` (image is almost always still in the clipboard). +3. Wording implies an image but no path → prefer `read_clipboard_image` over guessing. +If your model is multimodal (Claude 3+), you see images natively — ignore these rules. +``` + +### 5. Verify + +```bash +claude mcp list +# kimi-eyes should show √ Connected +``` + +### 6. Usage + +``` +Image file → @C:\path\image.png what's in this? +Screenshot → ask "analyze this screenshot" (model calls read_clipboard_image) +``` + +### Notes + +- Claude 3+ models are natively multimodal, so Claude Code usually sees images + directly; the plugin matters for text-only models or when you want a single + external VLM +- Uninstall: `claude mcp remove kimi-eyes` + **The first tool call prompts one approval** (MCP tool permission): choose *Approve for this session* to skip prompts for the rest of the session; for permanent approval, add to `~/.kimi-code/config.toml`: diff --git a/README.md b/README.md index a12ca96..6ef5636 100644 --- a/README.md +++ b/README.md @@ -82,7 +82,20 @@ MCP 服务器会随会话自动启动。 | --- | --- | | 多模态模型 | 直接 Alt+V 粘贴图片，原生看图，插件不参与 | | 非多模态 + 有图片路径 | 输入 `@截图.png` 或直接给路径，模型自动调 `read_image` | -| 非多模态 + 刚截图/复制 | 截图后**不要 Alt+V 粘贴**（CLI 会拒绝非多模态模型粘贴并报 `Current model does not support image input`），直接提问「分析这张截图」，模型自动调 `read_clipboard_image` 读系统剪贴板 | +| 非多模态 + 刚截图/复制 | 直接提问「分析这张截图」，模型自动调 `read_clipboard_image` 读系统剪贴板 | +| 非多模态 + 想用 Alt+V 粘贴 | 需先在 config.toml 给模型声明 `image_in`（见下），粘贴后直接提问即可——模型看不懂图片内容时会自动调 `read_clipboard_image`（剪贴板仍保留原图） | +| 粘贴被拦截 | 直接告诉模型「我粘贴图片被拦截了」，模型会自动改读剪贴板，无需你保存文件 | + +#### 想用 Alt+V 粘贴？（给模型声明 `image_in`） + +KimiCode 前端默认会拦截「不支持图片输入」模型的粘贴。在 `~/.kimi-code/config.toml` 给对应模型加上 `image_in` 即可放行： + +```toml +[models."opencode-go/deepseek-v4-flash"] +capabilities = [ "thinking", "tool_use", "image_in" ] # 追加 image_in +``` + +> 注意：声明 `image_in` 只是让前端放行粘贴。纯文本模型依然**看不懂**图片内容——这正是插件的用武之地：模型收到图片但看不见内容时，会按 SYSTEM.md 规则自动调 `read_clipboard_image` 从剪贴板读图。**全程零命令、零前缀**。 ## 激活与触发 @@ -107,10 +120,11 @@ MCP 服务器会随会话自动启动。 | --- | --- | | 图片格式路径或 `@` 引用（`.png/.jpg/.jpeg/.webp/.gif/.bmp`） | **硬触发**：无条件调 `read_image(path)`，与提问语料无关 | | 消息里有你无法解读的媒体内容（如粘贴的图片） | 忽略该媒体 part，自动调 `read_clipboard_image()` 读剪贴板（粘贴后剪贴板仍保留原图） | -| 提问语义涉及图像内容：图 / 截图 / 照片 / 界面 / 图表 / 验证码 / OCR 等，但无路径 | 自动调 `read_clipboard_image()` | -| 模型原生支持 `image_in`（多模态） | 跳过全部规则，原生看图，不调工具 | +| 提问语义涉及图像内容：图 / 截图 / 照片 / 界面 / 图表 / 验证码 / OCR 等，但无路径 | 自动调 `read_clipboard_image()`，**不会要求你重发** | +| 粘贴被拦截（报 `Current model does not support image input`） | 直接告诉模型，它会改调 `read_clipboard_image`（剪贴板仍保留原图） | +| 模型真正能看懂图片内容（多模态） | 跳过全部规则，原生看图，不调工具 | -**触发不依赖固定语料**——用户不需要说「分析这个图片」。图片格式路径是**无条件硬触发**；拿不准时模型会倾向于调工具而不是瞎猜（SYSTEM.md 里的明确规则）。 +**触发不依赖固定语料、不依赖任何命令前缀**——用户不需要说「分析这个图片」，也不需要 `/skill` 之类的指令。图片格式路径是**无条件硬触发**；模型判断「自己看不见图片内容」或「用户想看图但消息里没有」时，会自动调工具而不是瞎猜或让你重发（SYSTEM.md 里的明确规则）。 **关于模型能力判断**：KimiCode 不向插件暴露「当前模型是否多模态」的信号，本插件提供两层判断： @@ -119,6 +133,71 @@ MCP 服务器会随会话自动启动。 两层都是 fail-safe：判断错误最坏只是多一次外部调用（多模态误调）或漏调（文本模型漏调可用路径/语义信号补上）。若想硬性关闭，多模态场景可直接 `/plugins disable kimi-eyes`。 +## Claude Code 使用（可选） + +kimi-eyes 的 MCP 服务器是标准 MCP，可直接挂载到 Claude Code。**注意：以下命令请在系统终端（PowerShell / Git Bash）执行，不要在 Claude Code 内部的 Bash 工具里执行**（内部环境解析 `--scope` 等参数有差异）。 + +### 1. 前置要求 + +- Node.js ≥ 18 +- Claude Code CLI（`claude --version`） +- 一个支持视觉的多模态 API（Key 由你自己提供） + +### 2. 挂载 MCP 服务器（任选其一） + +```bash +# 方式一：全局注册（user scope，所有项目可用） +claude mcp add --scope user kimi-eyes -- node D:\AIGC\Plugin\kimi-eyes\mcp\server.mjs + +# 方式二：仅当前项目 +claude mcp add kimi-eyes -- node D:\AIGC\Plugin\kimi-eyes\mcp\server.mjs + +# 方式三：npx 通用版（不依赖本地路径，任何机器可复制） +claude mcp add --scope user kimi-eyes -- npx --prefer-online -y -p kimi-eyes kimi-eyes-mcp +``` + +### 3. 配置视觉 API（一次性） + +```bash +npx kimi-eyes setup +``` + +> 复用同一份配置：kimi-eyes 在 KimiCode 和 Claude Code 下共用 `~/.kimi-code/kimi-eyes/config.json`（或环境变量 `VISION_*`）。 + +### 4. 引导规则（CLAUDE.md） + +在项目根目录创建 `CLAUDE.md`（或追加到已有的），内容可参考本仓库根目录的 `CLAUDE.md`。核心规则： + +```markdown +# Kimi Eyes — Vision Assist (Claude Code) + +Whenever the user's request involves image content and you cannot see it directly: +1. Image path / @ reference → call `mcp__kimi-eyes__read_image` with that path. +2. Just screenshotted/copied, or media you cannot read → call + `mcp__kimi-eyes__read_clipboard_image` (image is almost always still in the clipboard). +3. Wording implies an image but no path → prefer `read_clipboard_image` over guessing. +If your model is multimodal (Claude 3+), you see images natively — ignore these rules. +``` + +### 5. 验证 + +```bash +claude mcp list +# kimi-eyes 应显示 √ Connected +``` + +### 6. 使用 + +``` +有图片文件 → @C:\path\image.png 这个图里有什么？ +刚截图 → 直接说「分析这张截图」（模型调 read_clipboard_image 读剪贴板） +``` + +### 注意 + +- Claude 3+ 模型原生多模态，Claude Code 大多场景直接看图；插件主要用于文本模型或统一走某个外部 VLM 的场景 +- 卸载：`claude mcp remove kimi-eyes` + **首次调用会弹一次审批**（MCP 工具权限）：选 *Approve for this session* 本会话免问；想永久免审批，在 `~/.kimi-code/config.toml` 添加： ```toml @@ -184,7 +263,7 @@ node scripts/sync-models.mjs ## 故障排查 -- **Alt+V 粘贴报 `Current model does not support image input`** → 这是 KimiCode CLI 的拦截：非多模态模型不支持粘贴图片。改用 `@图片路径`（`read_image`）或截图后直接提问（`read_clipboard_image` 读剪贴板） +- **Alt+V 粘贴报 `Current model does not support image input`** → KimiCode CLI 的拦截。两种解法：① 在 `config.toml` 给该模型追加 `image_in`（见「想用 Alt+V 粘贴？」）放行粘贴，模型看不懂图片时会自动读剪贴板；② 直接告诉模型「粘贴被拦截」，它会改调 `read_clipboard_image` 从剪贴板取图 - **工具返回「Vision API is not configured」** → 运行 `node setup.mjs`，或设置 `VISION_API_KEY` / `VISION_API_URL` / `VISION_MODEL` - **模型列表拉取失败**（404/401）→ 向导自动回退手动输入；若服务端不支持 `/models`，直接输入模型名即可 - **视觉验证失败** → 换一个真正支持图片输入的模型（参考服务商文档，如 `qwen-vl-max`、`glm-4v`、`gpt-4o`、`claude-3-5-sonnet` 等） diff --git a/SYSTEM.md b/SYSTEM.md index a39e9ac..cf6b39c 100644 --- a/SYSTEM.md +++ b/SYSTEM.md @@ -1,24 +1,27 @@ # Kimi Eyes — Vision Assist Rules -**If your model supports image input (`image_in`) natively, ignore every rule below — -you can see images directly, so never call these tools.** +Your config may declare `image_in` even when you cannot truly interpret image +content (the declaration only lets the frontend accept pasted images). The rule is +simple: **if you cannot actually see/read the image content, use a vision tool +instead of guessing or asking the user to resend.** -For models **without** native image input, the signals below are **hard triggers**: -call a vision tool whenever any of them appears, regardless of how the user phrased -their request. - -1. **Image-format path / `@` reference (hard trigger, unconditional)** — any path - ending in `.png`, `.jpg`, `.jpeg`, `.webp`, `.gif`, or `.bmp` (including an `@` - file reference to such a file) → call `mcp__kimi-eyes__read_image` with that - path. Pass `prompt` when the user has a specific question. -2. **Media content you cannot interpret** — a pasted image or any media part you - cannot read → ignore that part and call - `mcp__kimi-eyes__read_clipboard_image` (the image is almost always still in the - system clipboard). -3. **Wording implies an image, no path** — the user refers to "this", "the +1. **Image path / `@` reference (hard trigger, unconditional)** — any path ending in + `.png`, `.jpg`, `.jpeg`, `.webp`, `.gif`, or `.bmp` (including an `@` file + reference to such a file) → call `mcp__kimi-eyes__read_image` with that path. + Pass `prompt` when the user has a specific question. +2. **Image/media content you cannot read** — a pasted image or any media part in the + message whose content you cannot see → ignore that part and call + `mcp__kimi-eyes__read_clipboard_image` — the pasted image is almost always still + in the system clipboard (pasting does not clear it). +3. **User asks about an image, nothing visible** — the user refers to "this", "the screenshot", "the UI/interface", "the chart", "the photo", asks for OCR / CAPTCHA - reading, or otherwise implies image content, with no path and no visible media - part → call `mcp__kimi-eyes__read_clipboard_image`. + reading, or says they just screenshotted/copied an image, but no path and no + visible image content are present → **do not ask them to resend**; call + `mcp__kimi-eyes__read_clipboard_image` immediately. +4. **Paste was rejected** — if the user says pasting an image failed (e.g. "Current + model does not support image input"), the clipboard still holds the image: call + `mcp__kimi-eyes__read_clipboard_image` and tell them it worked, instead of asking + them to save the file or redo anything. When in doubt, call a tool rather than guessing blindly about the image. diff --git a/mcp/models-db.json b/mcp/models-db.json index a5adbe2..d72b35b 100644 --- a/mcp/models-db.json +++ b/mcp/models-db.json @@ -1 +1 @@ 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