open-autoglm-phone-agent — AI-фреймворк для управления мобильными устройствами

--- name: open-autoglm-phone-agent description: Expert skill for Open-AutoGLM, an AI phone agent framework that controls Android/HarmonyOS/iOS devices via natural language using the AutoGLM vision-language model triggers: - set up AutoGLM phone agent - control android phone with AI - automate phone tasks with natural language - deploy AutoGLM model for phone automation - configure ADB phone agent - run phone agent with AutoGLM - phone use agent python setup - automate mobile device with vision model --- # Open-AutoGLM Phone Agent > Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. Open-AutoGLM is an open-source AI phone agent framework that enables natural language control of Android, HarmonyOS NEXT, and iOS devices. It uses the AutoGLM vision-language model (9B parameters) to perceive screen content and execute multi-step tasks like "open Meituan and search for nearby hot pot restaurants." ## Architecture Overview ``` User Natural Language → AutoGLM VLM → Screen Perception → ADB/HDC/WebDriverAgent → Device Actions ``` - **Model**: AutoGLM-Phone-9B (Chinese-optimized) or AutoGLM-Phone-9B-Multilingual - **Device control**: ADB (Android), HDC (HarmonyOS NEXT), WebDriverAgent (iOS) - **Model serving**: vLLM or SGLang (self-hosted) or BigModel/ModelScope API - **Input**: Screenshot + task description → Output: structured action commands ## Installation ### Prerequisites - Python 3.10+ - ADB installed and in PATH (Android) or HDC (HarmonyOS) or WebDriverAgent (iOS) - Android device with Developer Mode + USB Debugging enabled - ADB Keyboard APK installed on Android device (for text input) ### Install the framework ```bash git clone https://github.com/zai-org/Open-AutoGLM.git cd Open-AutoGLM pip install -r requirements.txt pip install -e . ``` ### Verify ADB connection ```bash # Android adb devices # Expected: emulator-5554 device # HarmonyOS NEXT hdc list targets # Expected: 7001005458323933328a01bce01c2500 ``` ## Model Deployment Options ### Option A: Third-party API (Recommended for quick start) **BigModel (ZhipuAI)** ```bash export BIGMODEL_API_KEY="your-bigmodel-api-key" python main.py --base-url https://open.bigmodel.cn/api/paas/v4 --model "autoglm-phone" --apikey $BIGMODEL_API_KEY "打开美团搜索附近的火锅店" ``` **ModelScope** ```bash export MODELSCOPE_API_KEY="your-modelscope-api-key" python main.py --base-url https://api-inference.modelscope.cn/v1 --model "ZhipuAI/AutoGLM-Phone-9B" --apikey $MODELSCOPE_API_KEY "open Meituan and find nearby hotpot" ``` ### Option B: Self-hosted with vLLM ```bash # Install vLLM (or use official Docker: docker pull vllm/vllm-openai:v0.12.0) pip install vllm # Start model server (strictly follow these parameters) python3 -m vllm.entrypoints.openai.api_server --served-model-name autoglm-phone-9b --allowed-local-media-path / --mm-encoder-tp-mode data --mm_processor_cache_type shm --mm_processor_kwargs '{"max_pixels":5000000}' --max-model-len 25480 --chat-template-content-format string --limit-mm-per-prompt '{"image":10}' --model zai-org/AutoGLM-Phone-9B --port 8000 ``` ### Option C: Self-hosted with SGLang ```bash # Install SGLang or use: docker pull lmsysorg/sglang:v0.5.6.post1 # Inside container: pip install nvidia-cudnn-cu12==9.16.0.29 python3 -m sglang.launch_server --model-path zai-org/AutoGLM-Phone-9B --served-model-name autoglm-phone-9b --context-length 25480 --mm-enable-dp-encoder --mm-process-config '{"image":{"max_pixels":5000000}}' --port 8000 ``` ### Verify deployment ```bash python scripts/check_deployment_cn.py --base-url http://localhost:8000/v1 --model autoglm-phone-9b ``` Expected output includes a `<think>...</think>` block followed by `<answer>do(action="Launch", app="...")`. **If the chain-of-thought is very short or garbled, the model deployment has failed.** ## Running the Agent ### Basic CLI usage ```bash # Android device (default) python main.py --base-url http://localhost:8000/v1 --model autoglm-phone-9b "打开小红书搜索美食" # HarmonyOS device python main.py --base-url http://localhost:8000/v1 --model autoglm-phone-9b --device-type hdc "打开设置查看WiFi" # Multilingual model for English apps python main.py --base-url http://localhost:8000/v1 --model autoglm-phone-9b-multilingual "Open Instagram and search for travel photos" ``` ### Key CLI parameters | Parameter | Description | Default | |-----------|-------------|---------| | `--base-url` | Model service endpoint | Required | | `--model` | Model name on server | Required | | `--apikey` | API key for third-party services | None | | `--device-type` | `adb` (Android) or `hdc` (HarmonyOS) | `adb` | | `--device-id` | Specific device serial number | Auto-detect | ## Python API Usage ### Basic agent invocation ```python from phone_agent import PhoneAgent from phone_agent.config import AgentConfig config = AgentConfig( base_url="http://localhost:8000/v1", model="autoglm-phone-9b", device_type="adb", # or "hdc" for HarmonyOS ) agent = PhoneAgent(config) # Run a task result = agent.run("打开淘宝搜索蓝牙耳机") print(result) ``` ### Custom task with device selection ```python from phone_agent import PhoneAgent from phone_agent.config import AgentConfig import os config = AgentConfig( base_url=os.environ["MODEL_BASE_URL"], model=os.environ["MODEL_NAME"], apikey=os.environ.get("MODEL_API_KEY"), device_type="adb", device_id="emulator-5554", # specific device ) agent = PhoneAgent(config) # Task with sensitive operation confirmation result = agent.run( "在京东购买最便宜的蓝牙耳机", confirm_sensitive=True # prompt user before purchase actions ) ``` ### Direct model API call (for testing/integration) ```python import openai import base64 import os from pathlib import Path client = openai.OpenAI( base_url=os.environ["MODEL_BASE_URL"], api_key=os.environ.get("MODEL_API_KEY", "dummy"), ) # Load screenshot screenshot_path = "screenshot.png" with open(screenshot_path, "rb") as f: image_b64 = base64.b64encode(f.read()).decode() response = client.chat.completions.create( model="autoglm-phone-9b", messages=[ { "role": "user", "content": [ { "type": "image_url", "image_url": {"url": f"data:image/png;base64,{image_b64}"}, }, { "type": "text", "text": "Task: 搜索附近的咖啡店nCurrent step: Navigate to search", }, ], } ], ) print(response.choices[0].message.content) # Output format: <think>...</think>n<answer>do(action="...", ...) ``` ### Parsing model action output ```python import re def parse_action(model_output: str) -> dict: """Parse AutoGLM model output into structured action.""" # Extract answer block answer_match = re.search(r'<answer>(.*?)(?:</answer>|$)', model_output, re.DOTALL) if not answer_match: return {"action": "unknown"} answer = answer_match.group(1).strip() # Parse do() call # Format: do(action="ActionName", param1="value1", param2="value2") action_match = re.search(r'do(action="([^"]+)"(.*?))', answer, re.DOTALL) if not action_match: return {"action": "unknown", "raw": answer} action_name = action_match.group(1) params_str = action_match.group(2) # Parse parameters params = {} for param_match in re.finditer(r'(w+)="([^"]*)"', params_str): params[param_match.group(1)] = param_match.group(2) return {"action": action_name, **params} # Example usage output = '<think>需要启动京东</think>n<answer>do(action="Launch", app="京东")' action = parse_action(output) # {"action": "Launch", "app": "京东"} ``` ## ADB Device Control Patterns ### Common ADB operations used by the agent ```python import subprocess def take_screenshot(device_id: str = None) -> bytes: """Capture current device screen.""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) cmd.extend(["exec-out", "screencap", "-p"]) result = subprocess.run(cmd, capture_output=True) return result.stdout def send_tap(x: int, y: int, device_id: str = None): """Tap at screen coordinates.""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) cmd.extend(["shell", "input", "tap", str(x), str(y)]) subprocess.run(cmd) def send_text_adb_keyboard(text: str, device_id: str = None): """Send text via ADB Keyboard (must be installed and enabled).""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) # Enable ADB keyboard first cmd_enable = cmd + ["shell", "ime", "set", "com.android.adbkeyboard/.AdbIME"] subprocess.run(cmd_enable) # Send text cmd_text = cmd + ["shell", "am", "broadcast", "-a", "ADB_INPUT_TEXT", "--es", "msg", text] subprocess.run(cmd_text) def swipe(x1: int, y1: int, x2: int, y2: int, duration_ms: int = 300, device_id: str = None): """Swipe gesture on screen.""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) cmd.extend(["shell", "input", "swipe", str(x1), str(y1), str(x2), str(y2), str(duration_ms)]) subprocess.run(cmd) def press_back(device_id: str = None): """Press Android back button.""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) cmd.extend(["shell", "input", "keyevent", "KEYCODE_BACK"]) subprocess.run(cmd) def launch_app(package_name: str, device_id: str = None): """Launch app by package name.""" cmd = ["adb"] if device_id: cmd.extend(["-s", device_id]) cmd.extend(["shell", "monkey", "-p", package_name, "-c", "android.intent.category.LAUNCHER", "1"]) subprocess.run(cmd) ``` ## Midscene.js Integration For JavaScript/TypeScript automation using AutoGLM: ```javascript // .env configuration // MIDSCENE_MODEL_NAME=autoglm-phone // MIDSCENE_OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4 // MIDSCENE_OPENAI_API_KEY=your-api-key import { AndroidAgent } from "@midscene/android"; const agent = new AndroidAgent(); await agent.aiAction("打开微信发送消息给张三"); await agent.aiQuery("当前页面显示的消息内容是什么？"); ``` ## Remote ADB (WiFi Debugging) ```bash # Connect device via USB first, then enable TCP/IP mode adb tcpip 5555 # Get device IP address adb shell ip addr show wlan0 # Connect wirelessly (disconnect USB after this) adb connect 192.168.1.100:5555 # Verify connection adb devices # 192.168.1.100:5555 device # Use with agent python main.py --base-url http://model-server:8000/v1 --model autoglm-phone-9b --device-id "192.168.1.100:5555" "打开支付宝查看余额" ``` ## Common Action Types The AutoGLM model outputs structured actions: | Action | Description | Example | |--------|-------------|---------| | `Launch` | Open an app | `do(action="Launch", app="微信")` | | `Tap` | Tap screen element | `do(action="Tap", element="搜索框")` | | `Type` | Input text | `do(action="Type", text="火锅")` | | `Swipe` | Scroll/swipe | `do(action="Swipe", direction="up")` | | `Back` | Press back button | `do(action="Back")` | | `Home` | Go to home screen | `do(action="Home")` | | `Finish` | Task complete | `do(action="Finish", result="已完成搜索")` | ## Model Selection Guide | Model | Use Case | Languages | |-------|----------|-----------| | `AutoGLM-Phone-9B` | Chinese apps (WeChat, Taobao, Meituan) | Chinese-optimized | | `AutoGLM-Phone-9B-Multilingual` | International apps, mixed content | Chinese + English + others | - HuggingFace: `zai-org/AutoGLM-Phone-9B` / `zai-org/AutoGLM-Phone-9B-Multilingual` - ModelScope: `ZhipuAI/AutoGLM-Phone-9B` / `ZhipuAI/AutoGLM-Phone-9B-Multilingual` ## Environment Variables Reference ```bash # Model service export MODEL_BASE_URL="http://localhost:8000/v1" export MODEL_NAME="autoglm-phone-9b" export MODEL_API_KEY="" # Required for BigModel/ModelScope APIs # BigModel API export BIGMODEL_API_KEY="" export BIGMODEL_BASE_URL="https://open.bigmodel.cn/api/paas/v4" # ModelScope API export MODELSCOPE_API_KEY="" export MODELSCOPE_BASE_URL="https://api-inference.modelscope.cn/v1" # Device configuration export ADB_DEVICE_ID="" # Leave empty for auto-detect export HDC_DEVICE_ID="" # HarmonyOS device ID ``` ## Troubleshooting ### Model output is garbled or very short chain-of-thought **Cause**: Incorrect vLLM/SGLang startup parameters. **Fix**: Ensure `--chat-template-content-format string` (vLLM) and `--mm-process-config` with `max_pixels:5000000` are set. Check transformers version compatibility. ### `adb devices` shows no devices **Fix**: 1. Verify USB cable supports data transfer (not charge-only) 2. Accept "Allow USB debugging" dialog on phone 3. Try `adb kill-server && adb start-server` 4. Some devices require reboot after enabling developer options ### Text input not working on Android **Fix**: ADB Keyboard must be installed AND enabled: ```bash adb shell ime enable com.android.adbkeyboard/.AdbIME adb shell ime set com.android.adbkeyboard/.AdbIME ``` ### Agent stuck in a loop **Cause**: Model cannot identify a path to complete the task. **Fix**: The framework includes sensitive operation confirmation — ensure `confirm_sensitive=True` for purchase/delete tasks. For login/CAPTCHA screens, the agent supports human takeover. ### vLLM CUDA out of memory **Fix**: AutoGLM-Phone-9B requires ~20GB VRAM. Use `--tensor-parallel-size 2` for multi-GPU, or use the API service instead. ### Connection refused to model server **Fix**: Check firewall rules. For remote server: ```bash # Test connectivity curl http://YOUR_SERVER_IP:8000/v1/models # Should return model list JSON ``` ### HDC device not recognized (HarmonyOS) **Fix**: HarmonyOS NEXT (not earlier versions) is required. Enable developer mode in Settings → About → Version Number (tap 10 times rapidly). ## iOS Setup For iPhone automation, see the dedicated setup guide: ```bash # After configuring WebDriverAgent per docs/ios_setup/ios_setup.md python main.py --base-url http://localhost:8000/v1 --model autoglm-phone-9b-multilingual --device-type ios "Open Maps and navigate to Central Park" ```