流式输出代码示例

from openai import OpenAI
 
client = OpenAI(
    base_url="https://ai.amaxsmp.com/v1",
    api_key="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
)
 
stream = 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": "用中文写一篇200字的关于人工智能发展的短文。"}
    ],
    stream=True
)
 
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

import OpenAI from "openai";
 
const client = new OpenAI({
  baseURL: "https://ai.amaxsmp.com/v1",
  apiKey: "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
});
 
async function main() {
  const stream = 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: "用中文写一篇200字的关于人工智能发展的短文。" },
    ],
    stream: true,
  });
 
  for await (const chunk of stream) {
    if (chunk.choices[0]?.delta?.content) {
      process.stdout.write(chunk.choices[0].delta.content);
    }
  }
}
 
main();

curl https://ai.amaxsmp.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
  --no-buffer \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "你是一个有帮助的AI助手。"},
      {"role": "user", "content": "用中文写一篇200字的关于人工智能发展的短文。"}
    ],
    "stream": true
  }'

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
 
public class StreamingExample {
    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.builder()
            .baseUrl("https://ai.amaxsmp.com/v1")
            .apiKey("sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
            .build();
 
        client.chat().completions().createStreaming(
            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("用中文写一篇200字的关于人工智能发展的短文。")
                        .build()
                ))
                .build()
        ).subscribe(chunk -> {
            chunk.choices().stream()
                .filter(c -> c.delta().content().isPresent())
                .forEach(c -> System.out.print(c.delta().content().get()));
        });
    }
}

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()
    stream := client.Chat.Completions.NewStreaming(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("用中文写一篇200字的关于人工智能发展的短文。"),
        }),
    })
 
    for stream.Next() {
        chunk := stream.Current()
        if len(chunk.Choices) > 0 {
            fmt.Print(chunk.Choices[0].Delta.Content)
        }
    }
    if err := stream.Err(); err != nil {
        panic(err)
    }
}