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name: autoglm-toolkit version: 1.0.0 description: > AutoGLM AI agent toolkit powered by Zhipu AI. Includes browser automation, deep research, web search, image generation, image search, and web page content extraction. Perfect for Chinese internet tasks. Triggers: "浏览器自动化", "深度研究", "网络搜索", "AI生图", "搜图", "网页抓取", "AutoGLM", "智谱". tags: [autoglm, zhipu, browser, automation, research, search, image, chinese, ai-agent] env: AUTOGLM_TOKEN: "AutoGLM API token (obtained from local service or manual config)"

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

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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:

Header	Value
Authorization	Bearer <token>
X-Auth-Appid	Your app ID
X-Auth-TimeStamp	Current Unix timestamp (seconds)
X-Auth-Sign	MD5(appid + "&" + timestamp + "&" + secret)

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'
    }

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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

Parameter	Required	Description
task	✅	Task description (use user's exact words)
start_url	Optional	Starting URL for the task
session_id	Optional	Resume previous browser session
auto_approve	Optional	Auto-approve sensitive operations (default: false)

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)

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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

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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

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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)

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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
  }
}

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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

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API Quick Reference

Capability	Endpoint	Method
Web Search	/skills/web-search	POST
Open Link	/skills/open-link	POST
Generate Image	/skills/generate-image	POST
Search Image	/skills/search-image	POST

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

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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