# Copyright 2025 Alibaba Group Holding Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import asyncio import json import os from datetime import timedelta from opensandbox import Sandbox from opensandbox.config import ConnectionConfig from opensandbox.models.filesystem import WriteEntry QWEN_PROJECT_DIR = "/tmp/qwen-code-example" QWEN_SETTINGS_DIR = f"{QWEN_PROJECT_DIR}/.qwen" QWEN_SETTINGS_PATH = f"{QWEN_SETTINGS_DIR}/settings.json" def _required_env(name: str) -> str: value = os.getenv(name) if not value: raise RuntimeError(f"{name} is required") return value def _build_qwen_settings(base_url: str, model_name: str) -> str: settings = { "modelProviders": { "openai": [ { "id": model_name, "name": model_name, "baseUrl": base_url, "description": "Qwen Code via OpenAI-compatible API in OpenSandbox", "envKey": "API_KEY", } ] }, "security": { "auth": { "selectedType": "openai", } }, "model": { "name": model_name, }, } return json.dumps(settings, indent=2) async def _print_execution_logs(execution) -> None: for msg in execution.logs.stdout: print(f"[stdout] {msg.text}") for msg in execution.logs.stderr: print(f"[stderr] {msg.text}") if execution.error: print(f"[error] {execution.error.name}: {execution.error.value}") async def main() -> None: domain = os.getenv("SANDBOX_DOMAIN", "localhost:8080") api_key = os.getenv("SANDBOX_API_KEY") qwen_api_key = _required_env("API_KEY") qwen_base_url = os.getenv("BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1") qwen_model_name = os.getenv("MODEL_NAME", "qwen3-coder-plus") image = os.getenv( "SANDBOX_IMAGE", "sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.1.0", ) config = ConnectionConfig( domain=domain, api_key=api_key, request_timeout=timedelta(seconds=60), ) sandbox = await Sandbox.create( image, connection_config=config, env={"API_KEY": qwen_api_key}, ) async with sandbox: await sandbox.files.create_directories( [ WriteEntry(path=QWEN_PROJECT_DIR, mode=755), WriteEntry(path=QWEN_SETTINGS_DIR, mode=755), ] ) await sandbox.files.write_file( QWEN_SETTINGS_PATH, _build_qwen_settings(qwen_base_url, qwen_model_name), mode=644, ) # Install Qwen Code CLI (Node.js is already in the code-interpreter image). install_exec = await sandbox.commands.run( "npm install -g @qwen-code/qwen-code@latest" ) await _print_execution_logs(install_exec) # Run Qwen Code in headless mode using the project-local config. run_exec = await sandbox.commands.run( 'cd /tmp/qwen-code-example && qwen -p "Compute 1+1 and reply with only the final number."' ) await _print_execution_logs(run_exec) await sandbox.kill() if __name__ == "__main__": asyncio.run(main())