Autoglm File Upload

通过 Python 脚本调用 AutoGLM 上传接口，将本地图片或文档以 multipart 形式上传，脚本自动向本机服务获取令牌并生成签名头，返回可供下游 API 使用的文件 URL 与 OSS 信息。

khurramjamil12

热度 20.85

最近更新 2026-06-16 05:36:38

分类：自动化依赖：代码执行 / 第三方 API / 读写文件应用场景：工作流 / API 集成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add autoglm-file-upload

Metadata

name: autoglm-file-upload
description: Use 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.
compatibility: {"requires":["Python 3, hashlib, mimetypes, uuid (all built in)"]}

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:

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 Bearer prefix, the script adds it automatically.

Upload Mix API

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: 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 "<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.

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)