Google: Gemini 4 Argon (batch)

curl -s "https://llmmart.ru/api/v1/chat/completions" \
  -H "Authorization: Bearer $LLM_ROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-4-argon:batch",
    "messages": [
      {"role": "user", "content": "Привет!"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-...",  # API-ключ из личного кабинета
    base_url="https://llmmart.ru/api/v1",
)

response = client.chat.completions.create(
    model="google/gemini-4-argon:batch",
    messages=[
        {"role": "user", "content": "Привет!"},
    ],
)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLM_ROUTER_API_KEY,
  baseURL: "https://llmmart.ru/api/v1",
});

const response = await client.chat.completions.create({
  model: "google/gemini-4-argon:batch",
  messages: [{ role: "user", content: "Привет!" }],
});

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