# HelloWord-第一个示例

* 第1步：用手机号登录智增增，获取复制出key和url，地址：<http://gpt.zhizengzeng.com/#/login>
* 第2步：编写代码。注意配置的base\_url是：`https://flag.smarttrot.com/v1`

```python
如果是python，注意openai包的版本要对，它升级了！！
要注意，关键是base_url要设置成智增增的，如果这个不正确，其它肯定都不行。
所以一定要注意他在不同的包中base_url的设置方式，
目前已知的是：在老版本中的设置方式是：openai.api_base = BASE_URL，
而在新版本中的设置方式是：client = OpenAI(api_key=API_SECRET_KEY, base_url=BASE_URL)，
别问为什么，问就是openai的锅      

方式1：使用openai的官方包（新版）：
import os
from openai import OpenAI
import openai
import requests
import time
import json
import time

API_SECRET_KEY = "xxxxxx";
BASE_URL = "https://flag.smarttrot.com/v1/"

# chat
def chat_completions3(query):
    client = OpenAI(api_key=API_SECRET_KEY, base_url=BASE_URL)
    resp = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": query}
        ]
    )
    print(resp)
    print(resp.choices[0].message.content)

# chat with other model
def chat_completions4(query):
    client = OpenAI(api_key=API_SECRET_KEY, base_url=BASE_URL)
    resp = client.chat.completions.create(
        model="SparkDesk",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": query}
        ]
    )
    print(resp)
    print(resp.choices[0].message.content)

方式2：使用openai的官方包（旧版）：
import os
import openai
import requests
import time
import json
import time

API_SECRET_KEY = "xxxxxx";
BASE_URL = "https://flag.smarttrot.com/v1/"
# chat
def chat_completions2(query):
    openai.api_key = API_SECRET_KEY
    openai.api_base = BASE_URL
    resp = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": query}
        ]
    )
    print(resp)
    print(resp.choices[0].message.content)

if __name__ == '__main__':
    chat_completions2("圆周率的前10位");


方式3：使用http请求：
import os
import requests
import time
import json

def chat_completions():
    url="https://flag.smarttrot.com/v1/chat/completions"
    api_secret_key = 'xxxxxxxxx';  # 你的api_secret_key
    headers = {'Content-Type': 'application/json', 'Accept':'application/json',
               'Authorization': "Bearer "+api_secret_key}
    params = {'user':'张三','model':"gpt-3.5-turbo",
              'messages':[{'role':'user', 'content':'1+100='}]};
    r = requests.post(url, json.dumps(params), headers=headers)
    print(r.json())

if __name__ == '__main__':
    chat_completions();
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zhizengzeng.com/ru-men/jie-kou-wen-dang/helloword-di-yi-ge-shi-li.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.