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