Python中直接调用

from langchain.chat_models import ChatOpenAI

llm = ChatOpenAI(
    openai_api_base="https://api.allmhub.com/v1/",    openai_api_key="sk-xxxxx",
)

res = llm.predict("hello")

print(res)

import openai

def query_gpt4(question):
    openai.api_key = "sk-xxx"
    #openai.base_url = url
    openai.base_url = 'https://api.allmhub.com/v1/'


    try:
        response = openai.chat.completions.create(
            model="gpt-4",  # 确认使用 GPT-4 模型
            messages=[
                {"role": "system", "content": "You are a helpful assistant."},
                {"role": "user", "content": question}
            ]
        )
        print(response)
        return response['choices'][0].message['content']
    except Exception as e:
        return str(e)

# 问题
question = "为什么太阳那么红？"

# 获取并打印回答
answer = query_gpt4(question)
print(answer)

# 使用方法
若出现module 'openai' has no attribute 'chat'报错，请更新openai库：pip3 install --upgrade openai
若出现module 'attr' has no attribute 'frozen'报错，请更新输入：pip3 install --upgrade attrs

import requests
import json
def get_chat_gpt_response(prompt):
    url = "https://api.allmhub.com/v1/chat/completions"
    headers = {
        "Authorization": "Bearer apikey",
        "Content-Type": "application/json"
    }
    data = {
        "model": "claude-3-haiku-20240307",
        "messages": [{"role": "user", "content": prompt}]
    }

    response = requests.post(url, headers=headers, json=data)
    print(json.loads(response.text))
    return response

resp = get_chat_gpt_response('给我画一个可爱的女生穿着绿色的卫衣')
print(resp.text)

import http.client
import json

conn = http.client.HTTPSConnection("api.allmhub.com")
payload = json.dumps({
   "model": "gpt-3.5-turbo",
   "messages": [
      {
         "role": "system",
         "content": "You are a helpful assistant."
      },
      {
         "role": "user",
         "content": "Hello!"
      }
   ],
   "stream": True
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer {{YOUR_API_KEY}}',
   'User-Agent': 'Apifox/1.0.0 (https://apifox.com)',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

import requests
import json

def analyze_image(image_url, api_url, openai_key):
    headers = {
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {openai_key}'
    }

    data = {
        "model": "gpt-4-vision-preview",
        "messages": [
            {
                "role": "user",
                "content": [
                    {"type": "text", "text": "What’s in this image?"},
                    {
                        "type": "image_url",
                        "image_url": {
                            "url": image_url,
                        },
                    },
                ],
            }
        ],
        "max_tokens": 4000,
    }

    response = requests.post(api_url, headers=headers, data=json.dumps(data))

    print(response.json())

# 使用方法
analyze_image("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "https://api.allmhub.com/v1/chat/completions", "sk-xxxxxxx")