AutoGLM File Upload Skill

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

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.

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)

Run the Script

Use upload-mix.py in the same directory:

python upload-mix.py "\x3Clocal file path>"

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.

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)