Qwen3.8 27B

curl https://api.albastov.com/v1/chat/completions \
  -H "Authorization: Bearer $ALBASTAR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b",
    "max_tokens": 200,
    "messages": [
      {"role": "user",
       "content": "Summarise the rules of chess in three sentences."}
    ],
    "chat_template_kwargs": {"enable_thinking": false}
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.albastov.com/v1",
    api_key=os.environ["ALBASTAR_API_KEY"],
)
reply = client.chat.completions.create(
    model="qwen3.8-27b",
    max_tokens=200,
    messages=[{
        "role": "user",
        "content": "Summarise the rules of chess in three sentences.",
    }],
    extra_body={"chat_template_kwargs": {"enable_thinking": False}},
)
print(reply.choices[0].message.content)

const res = await fetch("https://api.albastov.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ALBASTAR_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen3.8-27b",
    max_tokens: 200,
    messages: [{
      role: "user",
      content: "Summarise the rules of chess in three sentences.",
    }],
    chat_template_kwargs: { enable_thinking: false },
  }),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const reply = await res.json();
console.log(reply.choices[0].message.content);