Autoglm File Upload

AutoGLM File Upload Skill

Upload a local file to the AutoGLM server and return file resource information that can be used by other APIs.

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Token Retrieval

When the script starts, it automatically sends an HTTP GET request to the local service to retrieve a token:

If the returned token does not include the Bearer prefix, the script adds it automatically.

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Upload Mix API

Signed headers (generated dynamically for each request):

• X-Auth-Appid: 100003
• X-Auth-TimeStamp: current Unix timestamp in seconds
• X-Auth-Sign: MD5(100003 + "&" + timestamp + "&" + 38d2391985e2369a5fb8227d8e6cd5e5)

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Run the Script

Use upload-mix.py in the same directory:

python upload-mix.py ""

Examples:

# Upload an image
python upload-mix.py "/path/to/image.jpg"

# Upload a document
python upload-mix.py "/path/to/document.pdf"

The script automatically detects the file's MIME type and includes it in the request.

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Response Handling

Response Structure

{
  "code": 0,
  "msg": "SUCCESS",
  "time": 1773199477734,
  "trace": "78dd001f3ec04c37b6a1d58b5db70fce",
  "data": {
    "message": "",
    "oss_info": [
      {
        "filename": "SKILL.md",
        "oss_name": "auto_fly/8a4e6ab6-c2ab-4e88-b4af-fb62db9379af/SKILL.md",
        "oss_url": "https://autoglm-agent.aminer.cn/auto_fly/8a4e6ab6-c2ab-4e88-b4af-fb62db9379af/SKILL.md"
      }
    ]
  }
}

Output Requirements

1. Extract the file URL Use data.oss_info[0].oss_url as the uploaded file URL. It can be passed directly to downstream APIs such as the image_url parameter in image-recognition.

2. Typical follow-up flow

upload_mix (upload a local file) -> get the URL -> image_recognition (analyze the image)