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# 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:v1.0.2",
)
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())