OpenAI SDK

pip install "openai==2.45.0"

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["LLM_MART_API_KEY"],
    base_url="https://www.llmmart.ru/api/v1",
)

# Chat
completion = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Привет!"}],
)
print(completion.choices[0].message.content)

# Embeddings
emb = client.embeddings.create(
    model="text-embedding-3-small",
    input="hello world",
)

# Images
img = client.images.generate(
    model="dall-e-3",
    prompt="Минималистичный логотип",
    size="1024x1024",
)

export LLM_MART_BASE_URL="https://www.llmmart.ru/api/v1"
export LLM_MART_API_KEY="sk-…"

npm install openai@6.45.0

import OpenAI from "openai";

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

const completion = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "Привет!" }],
});
console.log(completion.choices[0].message.content);

stream = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Привет!"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

response = client.responses.create(
    model="gpt-4o-mini",
    input="Кратко объясни, что такое HTTP/2.",
)
print(response.output_text)

secret = client.realtime.client_secrets.create(model="gpt-4o-realtime-preview")
# WebSocket: API-ключ в Authorization, client_secret в query — см. Realtime docs