all AI news
Building a serverless AI App on Cloudflare Workers
DEV Community dev.to
addEventListener('fetch', event => {
event.respondWith(handleRequest(event.request))
})
async function handleRequest(request) {
// Parse the incoming request to get the input data
const data = await request.json();
// Here you would typically call an AI model with the input data
// For example, using Cloudflare's Open Models (replace with actual model endpoint and API key)
const aiModelUrl = 'https://api.cloudflare.com/client/v4/models/YOUR_MODEL_ID';
const aiResponse = await fetch(aiModelUrl, {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({ input: data.input }) …
ai ai app ai model api app async building call cloudflare cloudflarechallenge cloudflare workers data devchallenge event example fetch function javascript json open models request serverless workers