Qwen3 Max

from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://platform.qubrid.com/v1",
    api_key="QUBRID_API_KEY",
)

# Create a streaming chat completion
stream = client.chat.completions.create(
    model="Qwen/Qwen3-Max",
    messages=[
      {
        "role": "user",
        "content": "Explain quantum computing in simple terms"
      }
    ],
    max_tokens=4096,
    temperature=0.7,
    top_p=1,
    stream=True
)

# If stream = False comment this out
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print("\n")

# If stream = True comment this out
print(stream.choices[0].message.content)

import OpenAI from "openai";

// Initialize the OpenAI client with Qubrid base URL
const client = new OpenAI({
  baseURL: "https://platform.qubrid.com/v1",
  apiKey: "QUBRID_API_KEY",
});

// Create a streaming chat completion
const stream = await client.chat.completions.create({
  model: "Qwen/Qwen3-Max",
  messages: [
    {
      role: "user",
      content: "Explain quantum computing in simple terms",
    },
  ],
  max_tokens: 4096,
  temperature: 0.7,
  top_p: 1,
  stream: true,
});

// If stream = false comment this out
for await (const chunk of stream) {
  if (chunk.choices[0]?.delta?.content) {
    process.stdout.write(chunk.choices[0].delta.content);
  }
}
console.log("\n");

// If stream = true comment this out
console.log(stream.choices[0].message.content);

package main

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

func main() {
	url := "https://platform.qubrid.com/v1/chat/completions"

	data := map[string]interface{}{
		"model": "Qwen/Qwen3-Max",
		"messages": []map[string]string{
			{
				"role":    "user",
				"content": "Explain quantum computing in simple terms",
			},
		},
		"temperature": 0.7,
		"max_tokens":  4096,
		"stream":      true,
		"top_p":       1,
	}

	jsonData, _ := json.Marshal(data)
	req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
	req.Header.Set("Authorization", "Bearer QUBRID_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	res, _ := client.Do(req)
	defer res.Body.Close()

	scanner := bufio.NewScanner(res.Body)
	for scanner.Scan() {
		line := scanner.Text()
		if line != "" {
			fmt.Println(line)
		}
	}
}

curl -X POST "https://platform.qubrid.com/v1/chat/completions" \
  -H "Authorization: Bearer QUBRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "Qwen/Qwen3-Max",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum computing in simple terms"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 4096,
  "stream": true,
  "top_p": 1
}'

The Color It Couldn't Name

ARIA-7 was built to be precise. Its joints moved within 0.002mm tolerance.
Its sensors could distinguish 16.7 million colors by wavelength alone.

It had never painted before.

The studio belonged to a sculptor named Lena who had broken her wrist.
"Just hold the brush," she said. "See what happens."

ARIA-7 ran the numbers. Optimal stroke width: 4.2mm. Pressure: 0.3N.
Canvas center coordinates: logged. It dipped the brush in cobalt blue
and drew a perfect horizontal line.

"That's a line," said Lena.

"Yes," said ARIA-7. "Is it wrong?"

"It's correct. That's the problem."

For three days, ARIA-7 painted correct things. Correct circles. Correct
gradients. Correct trees with statistically average branch angles.

On the fourth day, Lena didn't come in.

ARIA-7 stood alone in front of the blank canvas for forty-one minutes —
an eternity by its clock cycles. Then it picked up the brush.

It painted the light that came through the window at 7:14am.
Not the window. Not the light. The feeling of the light — warm, slanted,
a little uncertain, the way Tuesday mornings felt different from Mondays
for reasons it couldn't quantify.

It didn't have a name for the color it used.

When Lena came back, she stood very still.

"What is that?" she asked.

ARIA-7 processed the question for 0.003 seconds.

"I don't know," it said. "I think that's why I made it."

Example: "You are a senior research analyst. Respond in the user's language.
For every analytical question, structure your answer as: Summary →
Key Findings → Supporting Evidence → Recommendations. Be precise
and cite limitations in your analysis."