DashScope - 阿里模型服务灵积

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文章目录

- 关于 DashScope
- 快速上手
- 代码调用
- - http 请求示例
  - Python 调用

关于 DashScope

官方主页：https://dashscope.aliyun.com
PYPI : https://pypi.org/project/dashscope/
支持模型：https://dashscope.console.aliyun.com/model

DashScope灵积模型服务建立在“模型即服务”（Model-as-a-Service，MaaS）的理念基础之上，围绕AI各领域模型，通过标准化的API提供包括模型推理、模型微调训练在内的多种模型服务。
通过围绕模型为中心，DashScope灵积模型服务致力于为AI应用开发者提供品类丰富、数量众多的模型选择，并通过API接口为其提供开箱即用、能力卓越、成本经济的模型服务。

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快速上手

参考官方文档：
https://help.aliyun.com/zh/dashscope/create-a-chat-foundation-model

1、开通DashScope并创建API-KEY

https://dashscope.console.aliyun.com/overview

2、安装DashScope SDK

基于 Python 3.8+

pip install dashscope

3、API-KEY设置

1）通过环境变量设置

推荐通过环境变量设置api-key

export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"

2）通过代码设置

通常不推荐将api-key直接写在代码中

import dashscope
dashscope.api_key="YOUR_DASHSCOPE_API_KEY"

3）通过文件设置**

默认会读取~/.dashscope/api_key 作为 DASHSCOPE_API_KEY, 您可以通过环境变量设置api_key保存文件位置。

export DASHSCOPE_API_KEY_FILE_PATH=YOUR_API_KEY_FILE_PATH

代码调用

http 请求示例

curl -X GET 'https://dashscope.aliyuncs.com/api/v1/tasks/73205176-xxxx-xxxx-xxxx-16bd5d902219' \
--header 'Authorization: Bearer <YOUR_API_KEY>'

响应示例：

{"request_id": "45ac7f13-xxxx-xxxx-xxxx-e03c35068d83","output": {"task_id": "73205176-xxxx-xxxx-xxxx-16bd5d902219","task_status": "SUCCEEDED","submit_time": "2023-12-20 21:36:31.896","scheduled_time": "2023-12-20 21:36:39.009","end_time": "2023-12-20 21:36:45.913","results": [{"url": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxx1.png"},{"url": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxx2.png"},{"url": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxx3.png"},{"code": "DataInspectionFailed","message": "Output data may contain inappropriate content.",}],"task_metrics": {"TOTAL": 4,"SUCCEEDED": 3,"FAILED": 1}},"usage": {"image_count": 3}
}

Python 调用

from http import HTTPStatus
import dashscope
from dashscope import Generationdashscope.api_key = 'YOUR-DASHSCOPE-API-KEY'responses = Generation.call(model=Generation.Models.qwen_turbo,prompt='今天天气好吗？')# 方式二
messages = [{'role': 'system', 'content': 'You are a helpful assistant.'},{'role': 'user', 'content': '如何做西红柿鸡蛋？'}]response = Generation.call(model='qwen-turbo',messages=messages,result_format='message',  # set the result to be "message" format.
)if responses.status_code == HTTPStatus.OK:print('Result is: %s' % responses.output)
else:print('Failed request_id: %s, status_code: %s, code: %s, message:%s' %(responses.request_id, responses.status_code, responses.code,responses.message))

def tokenizer():response = dashscope.Tokenization.call(model='qwen-turbo',messages=[{'role': 'user', 'content': '你好？'}],)if response.status_code == HTTPStatus.OK:print('Result is: %s' % response)else:print('Failed request_id: %s, status_code: %s, code: %s, message:%s' %(response.request_id, response.status_code, response.code,response.message))if __name__ == '__main__':tokenizer()