import OpenAI from "openai";
const client = new OpenAI();

const response = await client.responses.create({
model: "gpt-4.1",
input: "Write a one-sentence bedtime story about a unicorn."
});

console.log(response.output_text);

{
"mcpServers": {
"mcp-server": {
"command": "uv", # It's better to use the absolute path to the uv command
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/YOUR/mcp-server",
"run",
  "main.py"
]} }}

from typing import Union
from fastapi import FastAPI

app = FastAPI()
@app.get("")
def read_root():
       return {"Hello": "World"}

@app.get("/items/{item_id}")

def read_item(item_id: int, q: Union[str, None] = None):
       return {"item_id": item_id, "q": q}

from sklearn.neighbors import KNeighborsClassifier
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(data.iloc[:,0:4], data['Name'])

# Predicted class
print(neigh.predict(test))

-> ['Iris-virginica']

# 3 nearest neighbors
print(neigh.kneighbors(test)[1])
-> [[141 139 120]]