Autoglm Toolkit

AutoGLM Toolkit (智谱 AI 工具箱)

A comprehensive AI agent toolkit powered by Zhipu AI. Includes 6 capabilities:

1. 🌐 Browser Automation — Autonomous browser agent for any web task
2. 🔍 Deep Research — Multi-round search + deep reading for structured reports
3. 🔎 Web Search — Quick web search with concise results
4. 🎨 Image Generation — Text-to-image generation
5. 🖼️ Image Search — Search for stock images by keywords
6. 📄 Web Page Reader — Extract full-text content from web pages

Authentication

All API calls share the same authentication mechanism.

Token

Obtain via local AutoGLM service or manual configuration.

Signing Headers (required for all requests)

Every request must include these headers:

import hashlib, time

def make_headers(token, app_id, secret):
    ts = str(int(time.time()))
    sign = hashlib.md5(f"{app_id}&{ts}&{secret}".encode()).hexdigest()
    return {
        'Authorization': f'Bearer {token}',
        'X-Auth-Appid': app_id,
        'X-Auth-TimeStamp': ts,
        'X-Auth-Sign': sign,
        'Content-Type': 'application/json'
    }

1. Browser Automation Agent

Autonomous browser automation agent that can perform any web task.

Capabilities

• Open web pages, search engines (Baidu/Google/Bing)
• Browse social media (Weibo, Xiaohongshu, Zhihu, Douyin, Bilibili)
• Like, comment, repost, bookmark posts
• Login to websites, fill forms
• Take screenshots, scrape web content
• Online shopping comparisons
• Operate online documents (Feishu Docs, Tencent Docs)

Usage

# Delegate entire task to autonomous browser subagent
browser_subagent(task="<task_description>", start_url="<url>")

Key Parameters

Session Management

• Sessions persist in session pool with 12-hour TTL
• Same-site tasks reuse existing sessions
• Different-site tasks open new browser tabs
• Login/captcha always requires manual user interaction

Important Rules

1. One task at a time (no concurrent browser tasks)
2. Always show screenshots in results
3. Default to 5 items when user doesn't specify quantity
4. Separate browser operations from non-browser operations (like saving to Excel)

2. Deep Research (深度调研)

Conduct in-depth research on any topic with structured output.

Process

1. Decompose: Break topic into 1-2 key search directions
2. Search: 1-2 rounds of web search (controlled quantity)
3. Deep Read: Open 1-3 important pages for full-text analysis
4. Report: Generate structured research report

API Endpoints

# Web Search
POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/web-search
Body: {"queries": [{"query": "<search_term>"}]}
# Returns: data.results[].webPages.value[] → name / url / snippet

# Open Link (Deep Read)
POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/open-link
Body: {"url": "<page_url>"}
# Returns: data.text → full page content

Execution Constraints

• web-search max 2 calls
• open-link max 3 calls
• Show intermediate results after each call
• Stop when sufficient information is gathered

Output Format

# [Topic] 深度调研报告

## 中间发现
## 概述
## 背景
## 现状分析
## 典型案例 / 代表性观点
## 发展趋势
## 总结
## 参考来源

3. Web Search (网络搜索)

Quick web search with structured results.

API

POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/web-search
Body: {"queries": [{"query": "<search_term>"}]}

Response

{
  "code": 0,
  "data": {
    "results": [{
      "webPages": {
        "value": [
          {"name": "Page Title", "url": "URL", "snippet": "Summary"}
        ]
      }
    }]
  }
}

Output Requirements

1. Summarize search results based on snippets
2. Append reference sources with links

4. Image Generation (AI 生图)

Generate images from text descriptions.

API

POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/generate-image
Body: {"text": "<image_description>"}

Response

{
  "code": 0,
  "data": {"image_url": "https://..."}
}

Display result as: ![Generated Image](image_url)

5. Image Search (搜图)

Search for images by keywords.

API

POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/search-image
Body: {"query": "<search_keywords>"}

Response

{
  "code": 0,
  "data": {
    "results": [{
      "original_url": "image_url",
      "caption": "description",
      "source": "source",
      "original_width": 1267,
      "original_height": 845
    }],
    "count": 4
  }
}

6. Web Page Reader (网页阅读)

Extract full-text content from a web page URL.

API

POST https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/open-link
Body: {"url": "<page_url>"}

Response

{
  "code": 0,
  "data": {"text": "Full page content..."}
}

Output Requirements

1. Extract data.text as page content
2. Summarize or display based on user's goal
3. Never fabricate content on API error

API Quick Reference

Base URL: https://autoglm-api.zhipuai.cn/agentdr/v1/assistant

Notes

• All APIs use the same authentication signature mechanism
• Python 3 with standard library only (no extra dependencies)
• Particularly effective for Chinese internet content
• Browser agent requires Chromium-based browser with AutoClaw extension