High-Concurrency AI Reasoning API
Built for Mission-Critical Production

from openai import OpenAI

client = OpenAI(
    api_key="sk_lynox_YOUR_API_TOKEN",
    base_url="https://lynox.datamax.uz/v1"
)

response = client.chat.completions.create(
    model="lynox_alpha",
    messages=[
        {"role": "user", "content": "Sheva va jonli so'zlashuv uslubidagi matnni tahlil qilib ber."}
    ],
    temperature=0.6,
    stream=True
)

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

curl https://lynox.datamax.uz/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk_lynox_YOUR_API_TOKEN" \
  -d '{
    "model": "lynox_alpha",
    "messages": [
      {"role": "user", "content": "Sheva va jonli so'\''zlashuv uslubidagi matnni tahlil qilib ber."}
    ],
    "temperature": 0.6,
    "stream": false
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk_lynox_YOUR_API_TOKEN",
    base_url="https://lynox.datamax.uz/v1"
)

tools = [
    {
        "type": "function",
        "function": {
            "name": "query_crm_database",
            "description": "Mijoz va buyurtmalar bazasidan qidirish",
            "parameters": {
                "type": "object",
                "properties": {
                    "customer_id": {"type": "string"},
                    "limit": {"type": "integer"}
                },
                "required": ["customer_id"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="lynox_alpha",
    messages=[
        {"role": "user", "content": "ID: 4892 mijozning oxirgi buyurtmalarini tekshir"}
    ],
    tools=tools,
    tool_choice="auto"
)

message = response.choices[0].message
if message.tool_calls:
    for call in message.tool_calls:
        print(f"Tool: {call.function.name}, Args: {call.function.arguments}")

from openai import OpenAI
import json

client = OpenAI(
    api_key="sk_lynox_YOUR_API_TOKEN",
    base_url="https://lynox.datamax.uz/v1"
)

response = client.chat.completions.create(
    model="lynox_alpha",
    messages=[
        {"role": "system", "content": "Javobni faqat toza JSON formatida qaytar."},
        {"role": "user", "content": "Samarqand shahri haqida aholi, maydon va diqqatga sazovor joylar obyektini yarat."}
    ],
    response_format={"type": "json_object"}
)

parsed = json.loads(response.choices[0].message.content)
print(json.dumps(parsed, indent=2, ensure_ascii=False))

# Cursor / Continue.dev / Copilot Inline Code Completion
curl https://lynox.datamax.uz/v1/fim/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk_lynox_YOUR_API_TOKEN" \
  -d '{
    "model": "lynox-coder",
    "prompt": "def calculate_discount(price, tier):\n    # tier: bronze, silver, gold\n",
    "suffix": "\n    return final_price",
    "max_tokens": 128,
    "temperature": 0.2
  }'

# Fast classification, scoring & routing across shared context
curl https://lynox.datamax.uz/v1/decisions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk_lynox_YOUR_API_TOKEN" \
  -d '{
    "model": "lynox-alpha",
    "state": "Mijoz xabari: Buyurtma qachon yetkaziladi? Toshkent shahriga kechiktirilgan.",
    "questions": [
      {
        "id": "intent",
        "text": "Xabar mavzusi nima?",
        "type": "choice",
        "options": ["yetkazib_berish", "to'\''lov", "boshqa"]
      },
      {
        "id": "urgency",
        "text": "Xabar shoshilinchmi?",
        "type": "noul"
      }
    ]
  }'

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk_lynox_YOUR_API_TOKEN',
  baseURL: 'https://lynox.datamax.uz/v1',
});

const completion = await client.chat.completions.create({
  model: 'lynox_alpha',
  messages: [{ role: 'user', content: 'Salom!' }],
});

console.log(completion.choices[0].message.content);

$ch = curl_init('https://lynox.datamax.uz/v1/chat/completions');
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'Content-Type: application/json',
    'Authorization: Bearer sk_lynox_YOUR_API_TOKEN'
]);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([
    'model' => 'lynox_alpha',
    'messages' => [['role' => 'user', 'content' => 'Salom!']]
]));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
curl_close($ch);

echo $response;