Облако
для облаков

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.kosareva.cloud/v1",
    api_key=os.environ["KOSAREVA_API_KEY"],
)

resp = client.chat.completions.create(
    model="claude-sonnet-4",
    messages=[
        {"role": "user",
         "content": "Объясни ML за 1 предложение"}
    ],
    stream=True,
)
for chunk in resp:
    print(chunk.choices[0].delta.content, end="")

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.kosareva.cloud/v1",
  apiKey: process.env.KOSAREVA_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Привет" }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

curl https://api.kosareva.cloud/v1/chat/completions \
  -H "Authorization: Bearer $KOSAREVA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5",
    "messages": [
      {"role": "user", "content": "Привет"}
    ]
  }'

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    base_url="https://api.kosareva.cloud/v1",
    api_key="sk-koz-...",
    model="claude-opus-4",
)

result = llm.invoke("Сравни RAG и fine-tuning")
print(result.content)