普通对话代码示例

from openai import OpenAI
 
client = OpenAI(
    base_url="https://ai.amaxsmp.com/v1",
    api_key="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
)
 
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "你是一个有帮助的AI助手。"},
        {"role": "user", "content": "解释一下什么是机器学习。用中文回答。"}
    ],
    temperature=0.7,
    max_tokens=500
)
 
print(response.choices[0].message.content)
print(f"\nToken用量: {response.usage.total_tokens}")

import OpenAI from "openai";
 
const client = new OpenAI({
  baseURL: "https://ai.amaxsmp.com/v1",
  apiKey: "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
});
 
async function main() {
  const response = await client.chat.completions.create({
    model: "gpt-4o",
    messages: [
      { role: "system", content: "你是一个有帮助的AI助手。" },
      { role: "user", content: "解释一下什么是机器学习。用中文回答。" },
    ],
    temperature: 0.7,
    max_tokens: 500,
  });
 
  console.log(response.choices[0].message.content);
  console.log(`\nToken用量: ${response.usage.total_tokens}`);
}
 
main();

curl https://ai.amaxsmp.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "你是一个有帮助的AI助手。"},
      {"role": "user", "content": "解释一下什么是机器学习。用中文回答。"}
    ],
    "temperature": 0.7,
    "max_tokens": 500
  }'

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
 
public class ChatExample {
    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.builder()
            .baseUrl("https://ai.amaxsmp.com/v1")
            .apiKey("sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
            .build();
 
        ChatCompletion completion = client.chat().completions().create(
            ChatCompletionCreateParams.builder()
                .model("gpt-4o")
                .addMessage(ChatCompletionMessageParam.ofSystem(
                    ChatCompletionSystemMessageParam.builder()
                        .content("你是一个有帮助的AI助手。")
                        .build()
                ))
                .addMessage(ChatCompletionMessageParam.ofUser(
                    ChatCompletionUserMessageParam.builder()
                        .content("解释一下什么是机器学习。用中文回答。")
                        .build()
                ))
                .temperature(0.7)
                .maxTokens(500)
                .build()
        );
 
        System.out.println(completion.choices().get(0).message().content().get());
        System.out.println("\nToken用量: " + completion.usage().get().totalTokens());
    }
}

package main
 
import (
    "context"
    "fmt"
 
    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)
 
func main() {
    client := openai.NewClient(
        option.WithBaseURL("https://ai.amaxsmp.com/v1"),
        option.WithAPIKey("sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"),
    )
 
    ctx := context.Background()
    completion, err := client.Chat.Completions.New(ctx, openai.ChatCompletionNewParams{
        Model: openai.F(openai.ChatModelGPT4o),
        Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
            openai.SystemMessage("你是一个有帮助的AI助手。"),
            openai.UserMessage("解释一下什么是机器学习。用中文回答。"),
        }),
        Temperature: openai.F(0.7),
        MaxTokens:   openai.F(int64(500)),
    })
    if err != nil {
        panic(err)
    }
 
    fmt.Println(completion.Choices[0].Message.Content)
    fmt.Printf("\nToken用量: %d\n", completion.Usage.TotalTokens)
}