Install
openclaw skills install autoglm-file-uploadUse the AutoGLM Upload Mix API to upload local files such as images and documents, then obtain a file URL or resource ID for downstream API calls. The token is fetched automatically from the local service at http://127.0.0.1:18432/get_token, so no manual environment variable setup is required.
openclaw skills install autoglm-file-uploadUpload a local file to the AutoGLM server and return file resource information that can be used by other APIs.
When the script starts, it automatically sends an HTTP GET request to the local service to retrieve a token:
| Item | Value |
|---|---|
| URL | http://127.0.0.1:18432/get_token |
| Method | GET |
| Response | Bearer xxx (used directly as the Authorization header) |
If the returned token does not include the
Bearerprefix, the script adds it automatically.
| Item | Value |
|---|---|
| URL | https://autoglm-api.autoglm.ai/agentdr/v1/assistant/upload-mix |
| Method | POST |
| Request body | multipart/form-data, with the field name files |
Signed headers (generated dynamically for each request):
X-Auth-Appid: 100003X-Auth-TimeStamp: current Unix timestamp in secondsX-Auth-Sign: MD5(100003 + "&" + timestamp + "&" + 38d2391985e2369a5fb8227d8e6cd5e5)Use upload-mix.py in the same directory:
python upload-mix.py "<local 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.
{
"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"
}
]
}
}
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)