混元调用指南

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://tokenhub.tencentmaas.com/v1",
)

response = client.chat.completions.create(
    model="hy3-preview",
    messages=[
        {"role": "user", "content": "你好，请简单介绍一下你自己。"},
    ],
    temperature=0.9,
)
print(response.choices[0].message.content)

import okhttp3.*;
import com.google.gson.Gson;
import java.util.*;

public class BasicChat {
    public static void main(String[] args) throws Exception {
        Map<String, Object> body = new HashMap<>();
        body.put("model", "hy3-preview");
        body.put("messages", List.of(
            Map.of("role", "user", "content", "你好，请简单介绍一下你自己。")
        ));
        body.put("temperature", 0.9);

        Request request = new Request.Builder()
            .url("https://tokenhub.tencentmaas.com/v1/chat/completions")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .post(RequestBody.create(new Gson().toJson(body),
                MediaType.parse("application/json")))
            .build();

        try (Response response = new OkHttpClient().newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://tokenhub.tencentmaas.com/v1',
});

const response = await client.chat.completions.create({
  model: 'hy3-preview',
  messages: [
    { role: 'user', content: '你好，请简单介绍一下你自己。' },
  ],
  temperature: 0.9,
});
console.log(response.choices[0].message.content);

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    body, _ := json.Marshal(map[string]interface{}{
        "model": "hy3-preview",
        "messages": []map[string]string{
            {"role": "user", "content": "你好，请简单介绍一下你自己。"},
        },
        "temperature": 0.9,
    })

    req, _ := http.NewRequest("POST",
        "https://tokenhub.tencentmaas.com/v1/chat/completions",
        bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()
    data, _ := io.ReadAll(resp.Body)
    fmt.Println(string(data))
}

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://tokenhub.tencentmaas.com/v1",
)

stream = client.chat.completions.create(
    model="hy3-preview",
    messages=[{"role": "user", "content": "你好"}],
    stream=True,
    stream_options={"include_usage": True},
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.usage:
        print("\\nusage:", chunk.usage)

import okhttp3.*;
import okhttp3.sse.*;
import com.google.gson.Gson;
import java.util.*;

public class StreamingChat {
    public static void main(String[] args) {
        Map<String, Object> body = new HashMap<>();
        body.put("model", "hy3-preview");
        body.put("messages", List.of(Map.of("role", "user", "content", "你好")));
        body.put("stream", true);
        body.put("stream_options", Map.of("include_usage", true));

        Request request = new Request.Builder()
            .url("https://tokenhub.tencentmaas.com/v1/chat/completions")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .post(RequestBody.create(new Gson().toJson(body),
                MediaType.parse("application/json")))
            .build();

        EventSources.createFactory(new OkHttpClient()).newEventSource(request,
            new EventSourceListener() {
                @Override public void onEvent(EventSource es, String id, String type, String data) {
                    if (!"[DONE]".equals(data)) System.out.println(data);
                }
            });
    }
}

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://tokenhub.tencentmaas.com/v1',
});

const stream = await client.chat.completions.create({
  model: 'hy3-preview',
  messages: [{ role: 'user', content: '你好' }],
  stream: true,
  stream_options: { include_usage: true },
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
  if (chunk.usage) console.log('\\nusage:', chunk.usage);
}

package main

import (
    "bufio"
    "bytes"
    "encoding/json"
    "fmt"
    "net/http"
    "strings"
)

func main() {
    body, _ := json.Marshal(map[string]interface{}{
        "model": "hy3-preview",
        "messages": []map[string]string{
            {"role": "user", "content": "你好"},
        },
        "stream":         true,
        "stream_options": map[string]bool{"include_usage": true},
    })

    req, _ := http.NewRequest("POST",
        "https://tokenhub.tencentmaas.com/v1/chat/completions",
        bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()

    scanner := bufio.NewScanner(resp.Body)
    for scanner.Scan() {
        line := scanner.Text()
        if strings.HasPrefix(line, "data: ") && line != "data: [DONE]" {
            fmt.Println(strings.TrimPrefix(line, "data: "))
        }
    }
}

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://tokenhub.tencentmaas.com/v1",
)

response = client.chat.completions.create(
    model="hy3-preview",
    messages=[
        {"role": "user", "content": "小明有5个苹果，给了小红2个，又买了3个，最后还剩几个？"},
    ],
    extra_body={"thinking": {"type": "enabled"}},
)

# OpenAI SDK 不直接声明 reasoning_content 字段，需用 getattr 访问
msg = response.choices[0].message
if hasattr(msg, "reasoning_content"):
    print("思考过程:", getattr(msg, "reasoning_content"))
print("最终回答:", msg.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://tokenhub.tencentmaas.com/v1',
});

// Node.js SDK：thinking 字段直接展开到顶层
const response = await client.chat.completions.create({
  model: 'hy3-preview',
  messages: [
    { role: 'user', content: '小明有5个苹果，给了小红2个，又买了3个，最后还剩几个？' },
  ],
  thinking: { type: 'enabled' },
});

const msg = response.choices[0].message;
if (msg.reasoning_content) console.log('思考过程:', msg.reasoning_content);
console.log('最终回答:', msg.content);

import okhttp3.*;
import com.google.gson.Gson;
import java.util.*;

public class ThinkingChat {
    public static void main(String[] args) throws Exception {
        Map<String, Object> body = new HashMap<>();
        body.put("model", "hy3-preview");
        body.put("messages", List.of(
            Map.of("role", "user", "content", "小明有5个苹果，给了小红2个，又买了3个，最后还剩几个？")
        ));
        body.put("thinking", Map.of("type", "enabled"));

        Request request = new Request.Builder()
            .url("https://tokenhub.tencentmaas.com/v1/chat/completions")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .post(RequestBody.create(new Gson().toJson(body), MediaType.parse("application/json")))
            .build();

        try (Response response = new OkHttpClient().newCall(request).execute()) {
            // 响应体中 message.reasoning_content 为思考过程，message.content 为最终回答
            System.out.println(response.body().string());
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    body, _ := json.Marshal(map[string]interface{}{
        "model": "hy3-preview",
        "messages": []map[string]string{
            {"role": "user", "content": "小明有5个苹果，给了小红2个，又买了3个，最后还剩几个？"},
        },
        "thinking": map[string]string{"type": "enabled"},
    })

    req, _ := http.NewRequest("POST",
        "https://tokenhub.tencentmaas.com/v1/chat/completions",
        bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()

    data, _ := io.ReadAll(resp.Body)
    // 响应体中 message.reasoning_content 为思考过程，message.content 为最终回答
    fmt.Println(string(data))
}

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://tokenhub.tencentmaas.com/v1",
)

response = client.chat.completions.create(
    model="hy3-preview",
    messages=[
        {"role": "user", "content": "小明有5个苹果，给了小红2个，又买了3个，最后还剩几个？"},
    ],
    temperature=0.9,
    extra_body={"reasoning_effort": "high"},
)

msg = response.choices[0].message
if hasattr(msg, "reasoning_content"):
    print("思考过程:", getattr(msg, "reasoning_content"))
print("最终回答:", msg.content)