借助百联大模型调用DeepSeek
借助百联大模型调用DeepSeek
NodeJs
cnpm i openai --save
import OpenAI from "openai";
const openai = new OpenAI(
{
// 若没有配置环境变量,请用百炼API Key将下行替换为:apiKey: "sk-xxx",
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1"
}
);
const completion = await openai.chat.completions.create({
model: "deepseek-v3",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "你是谁?" }
],
});
console.log(JSON.stringify(completion))
输出:
{
"usage": {
"completion_tokens": 37,
"prompt_tokens": 11,
"prompt_cache_hit_tokens": 0,
"prompt_cache_miss_tokens": 11,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 48
},
"id": "chatcmpl-c47fb7c2-53b0-9424-8705-7a0df157a7da",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"content": "您好!我是由中国的深度求索(DeepSeek)公司开发的智能助手DeepSeek-V3。如您有任何问题,我会尽我所能为您提供帮助。"
}
}
]
}
Python
pip install openai
import os
from openai import OpenAI
client = OpenAI(
# 若没有配置环境变量,请用百炼API Key将下行替换为:api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"), # 如何获取API Key:https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key
base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
model="deepseek-v3",
messages=[
{'role': 'system', 'content': 'You are a helpful assistant.'},
{'role': 'user', 'content': '你是谁?'}
]
)
print(completion.choices[0].message.content)
Curl
curl -X POST https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v3",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "你是谁?"
}
]
}'