openclaw - 💡(How to fix) Fix [Bug] Control UI 无法接收图片上传 [4 comments, 4 participants]

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openclaw/openclaw#51045Fetched 2026-04-08 01:05:06
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问题描述

OpenClaw Control UI 无法接收图片:

  • ❌ 复制粘贴图片 - 无效
  • ❌ 拖拽上传图片 - 无效
  • ❌ 附件按钮上传 - 无效

环境信息

  • 界面: OpenClaw Control UI
  • 浏览器: Web 界面
  • 时间: 2026-03-20

预期行为

用户应该能够通过以下方式上传图片:

  • 复制粘贴图片到聊天框
  • 拖拽图片到聊天窗口
  • 点击附件按钮选择图片

实际行为

图片上传后,消息显示为空,AI 助手无法接收或识别图片内容。

影响

  • 无法使用 Kimi 2.5 的图像识别功能
  • 无法通过图片分享信息
  • 限制了多模态交互能力

建议

请检查 Control UI 的文件上传功能,或提供替代的图片分享方式。


优先级: Medium

extent analysis

Fix Plan

To resolve the image upload issue in OpenClaw Control UI, we need to modify the file upload functionality. Here are the steps:

  • Update the HTML to include a file input element:
<input type="file" id="image-upload" accept="image/*">
  • Add an event listener to handle file uploads:
const imageUploadInput = document.getElementById('image-upload');

imageUploadInput.addEventListener('change', (e) => {
  const file = e.target.files[0];
  // Upload the file to the server
  uploadFile(file);
});
  • Implement the uploadFile function to handle file uploads:
function uploadFile(file) {
  const formData = new FormData();
  formData.append('image', file);

  fetch('/upload-image', {
    method: 'POST',
    body: formData,
  })
  .then((response) => response.json())
  .then((data) => {
    // Handle the uploaded image
    handleUploadedImage(data);
  })
  .catch((error) => {
    console.error('Error uploading image:', error);
  });
}
  • Update the server-side code to handle image uploads:
app.post('/upload-image', (req, res) => {
  const image = req.files.image;
  // Process the uploaded image
  processImage(image);
  res.json({ message: 'Image uploaded successfully' });
});

Verification

To verify that the fix worked, test the image upload functionality by:

  • Copying and pasting an image into the chat window
  • Dragging and dropping an image into the chat window
  • Clicking the attachment button to select an image

If the image is uploaded successfully, the AI assistant should be able to receive and recognize the image content.

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