SDK Examples

import requests
import time

API_KEY = "cdt_your_api_key"
BASE_URL = "https://api.core.today/v1"

headers = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}

# Create prediction
response = requests.post(
    f"{BASE_URL}/predictions",
    headers=headers,
    json={
        "model": "flux-schnell",
        "input": {"prompt": "A cute cat wearing a hat"}
    }
)

job_id = response.json()["job_id"]

# Wait for result
while True:
    result = requests.get(
        f"{BASE_URL}/predictions/{job_id}",
        headers=headers
    ).json()

    if result["status"] == "completed":
        print(f"Image URL: {result['result'][0]}")
        break
    elif result["status"] == "failed":
        print(f"Error: {result.get('error')}")
        break

    time.sleep(2)

from openai import OpenAI

client = OpenAI(
    api_key="cdt_your_api_key",
    base_url="https://api.core.today/llm/openai/v1"
)

# Chat completion
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

# Streaming
stream = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

const API_KEY = "cdt_your_api_key";
const BASE_URL = "https://api.core.today/v1";

async function generateImage(prompt) {
  // Create prediction
  const createResponse = await fetch(`${BASE_URL}/predictions`, {
    method: "POST",
    headers: {
      "X-API-Key": API_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "flux-schnell",
      input: { prompt }
    })
  });

  const { job_id } = await createResponse.json();

  // Poll for result
  while (true) {
    const result = await fetch(`${BASE_URL}/predictions/${job_id}`, {
      headers: { "X-API-Key": API_KEY }
    }).then(r => r.json());

    if (result.status === "completed") {
      return result.result[0];
    } else if (result.status === "failed") {
      throw new Error(result.error);
    }

    await new Promise(r => setTimeout(r, 2000));
  }
}

const imageUrl = await generateImage("A beautiful landscape");

const API_KEY = "cdt_your_api_key";

async function chat(message) {
  const response = await fetch(
    "https://api.core.today/llm/openai/v1/chat/completions",
    {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${API_KEY}`,
        "Content-Type": "application/json"
      },
      body: JSON.stringify({
        model: "gpt-4o",
        messages: [{ role: "user", content: message }]
      })
    }
  );

  const data = await response.json();
  return data.choices[0].message.content;
}

const reply = await chat("Hello!");
console.log(reply);