From a pre.dev app

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: `${process.env.PREDEV_API_URL}/v1`,
  apiKey: process.env.PREDEV_API_KEY!,
  defaultHeaders: { 'x-predev-project-id': process.env.PREDEV_PROJECT_ID ?? '' },
});

// POST /api/summarize  { text: string }
export async function summarize(text: string) {
  const completion = await client.chat.completions.create({
    model: 'deepseek/deepseek-v4.1-flash',
    messages: [
      { role: 'system', content: 'Summarize the user text in three bullets.' },
      { role: 'user', content: text },
    ],
  });
  return completion.choices[0].message.content;
}

import os
from openai import OpenAI

client = OpenAI(
    base_url=f"{os.environ['PREDEV_API_URL']}/v1",
    api_key=os.environ["PREDEV_API_KEY"],
    default_headers={"x-predev-project-id": os.environ.get("PREDEV_PROJECT_ID", "")},
)


# POST /api/summarize  {"text": "..."}
def summarize(text: str) -> str:
    completion = client.chat.completions.create(
        model="deepseek/deepseek-v4.1-flash",
        messages=[
            {"role": "system", "content": "Summarize the user text in three bullets."},
            {"role": "user", "content": text},
        ],
    )
    return completion.choices[0].message.content