Python
簡單的展示如何使用Python來呼叫Stima API，Stima API為OpenAI base，故使用Python中的openai套件，並修改model變數即可呼叫所有支援模型。

from openai import OpenAI
api_key = 'sk-xxxxxxxxxxxxxxxxxxxxxxxx'
client = OpenAI(
    api_key=api_key,
    base_url="https://api.stima.tech/v1/"
)

chat_completion = client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[
        {"role": "user", "content": "Hello world"}
    ]
)

print(chat_completion.choices[0].message.content)

或是使用class方式導入，modelName與messages都可以自行編輯。

import openai
import time

class api_cluster:
    def __init__(self, modelName = "gemini-1.5-flash-latest"):
        self.modelName = modelName
        self.client = openai.OpenAI(
        base_url="https://api.wlai.vip/v1",
        api_key="sk-xxx"
        )
        messages = [
            {"role": "system", "content": "You are a helpful assistant."}
        ]

    
    def send_read_respond(self, user_input, stream=False, temperature= 0.5):
        response = self.client.chat.completions.create(
            model= self.modelName,
            messages=[{"role": "user", "content": user_input}],
            temperature=temperature,
        )

        assistant_response = response.choices[0].message.content
        return assistant_response

cURL
簡單展示如何使用cURL呼叫Stima API，也是僅需修改model變數即可呼叫所有支援模型。

curl https://api.stima.tech/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
    -d '{
        "model": "gpt-3.5-turbo"
        "messages": [
            {
                "role": "system",
                "content": "You are a test assistant."
            }
        ]
    }'