初始化 kimi-eyes:给 KimiCode 非多模态模型补上视觉能力
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# Kimi Eyes — Vision Assist Rules
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**If your model supports image input (`image_in`) natively, ignore every rule below —
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you can see images directly, so never call these tools.**
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For models **without** native image input, the signals below are **hard triggers**:
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call a vision tool whenever any of them appears, regardless of how the user phrased
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their request.
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1. **Image-format path / `@` reference (hard trigger, unconditional)** — any path
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ending in `.png`, `.jpg`, `.jpeg`, `.webp`, `.gif`, or `.bmp` (including an `@`
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file reference to such a file) → call `mcp__kimi-eyes__read_image` with that
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path. Pass `prompt` when the user has a specific question.
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2. **Media content you cannot interpret** — a pasted image or any media part you
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cannot read → ignore that part and call
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`mcp__kimi-eyes__read_clipboard_image` (the image is almost always still in the
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system clipboard).
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3. **Wording implies an image, no path** — the user refers to "this", "the
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screenshot", "the UI/interface", "the chart", "the photo", asks for OCR / CAPTCHA
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reading, or otherwise implies image content, with no path and no visible media
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part → call `mcp__kimi-eyes__read_clipboard_image`.
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When in doubt, call a tool rather than guessing blindly about the image.
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If a tool reports that the vision API is not configured, tell the user to run
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`node setup.mjs` inside the kimi-eyes plugin directory (or set the
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`VISION_API_KEY` / `VISION_API_URL` / `VISION_MODEL` environment variables).
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