API LeafNet AI

Authorization: Bearer lf-xxxxxxxxxxxxxxxx

# pip install openai
from openai import OpenAI

client = OpenAI(base_url="https://ai.leafnet.su/v1", api_key="lf-...")

resp = client.chat.completions.create(
    model="gpt-mini",
    messages=[
        {"role": "system", "content": "Ты — полезный помощник."},
        {"role": "user", "content": "Придумай 3 названия для кофейни"},
    ],
    temperature=0.7,
)
print(resp.choices[0].message.content)
print(resp.usage)  # сколько токенов ушло

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://ai.leafnet.su/v1", apiKey: "lf-..." });

const resp = await client.chat.completions.create({
  model: "gpt-mini",
  messages: [{ role: "user", content: "Придумай 3 названия для кофейни" }],
});
console.log(resp.choices[0].message.content);

curl https://ai.leafnet.su/v1/chat/completions \
  -H "Authorization: Bearer lf-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-mini",
    "messages": [{"role": "user", "content": "Придумай 3 названия для кофейни"}]
  }'

stream = client.chat.completions.create(
    model="claude",
    messages=[{"role": "user", "content": "Напиши стих про осень"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="", flush=True)

messages=[{
    "role": "user",
    "content": [
        {"type": "text", "text": "Что на фото?"},
        {"type": "image_url", "image_url": {"url": "https://example.com/cat.jpg"}},
    ],
}]