GPT-OSS 120B

from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://platform.qubrid.com/",
    api_key="QUBRID_API_KEY",
)

# Create a streaming chat completion
stream = client.chat.completions.create(
    model="openai/gpt-oss-120b",
    messages=[
      {
        "role": "user",
        "content": "Explain quantum computing in simple terms"
      }
    ],
    max_tokens=8192,
    temperature=0.3,
    top_p=1,
    stream=True
)

# Process streaming response
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

print("\n")

import OpenAI from 'openai';

// Initialize the OpenAI client with Qubrid base URL
const client = new OpenAI({
  baseURL: 'https://platform.qubrid.com/',
  apiKey: 'QUBRID_API_KEY',
});

// Create a streaming chat completion
const stream = await client.chat.completions.create({
  model: 'openai/gpt-oss-120b',
  messages: [
    {
      "role": "user",
      "content": "Explain quantum computing in simple terms"
    }
  ],
  max_tokens: 8192,
  temperature: 0.3,
  top_p: 1,
  stream: true
});

// Process streaming response
for await (const chunk of stream) {
  if (chunk.choices[0]?.delta?.content) {
    process.stdout.write(chunk.choices[0].delta.content);
  }
}
console.log('\n');

package main

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

func main() {
	apiKey := os.Getenv("QUBRID_API_KEY")
	payload := map[string]interface{}{
		"model": "openai/gpt-oss-120b",
		"messages": [
		{
			"role": "user",
			"content": "Explain quantum computing in simple terms"
		}
	],
	}

	jsonData, _ := json.Marshal(payload)
	req, _ := http.NewRequest("POST", "https://platform.qubrid.com/chat/completions", bytes.NewBuffer(jsonData))
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

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

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}