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1export default async function handler(req: Request): Promise<Response> {
2  const AIRTABLE_API_KEY = Deno.env.get("AIRTABLE_API_KEY")!;
3  const AIRTABLE_BASE_ID = Deno.env.get("AIRTABLE_BASE_ID")!;
4  const FACTURAMA_AUTH = Deno.env.get("FACTURAMA_AUTH")!;
11
12  const airtableHeaders = {
13    Authorization: `Bearer ${AIRTABLE_API_KEY}`,
14    "Content-Type": "application/json",
15  };
16
17  const fetchRecord = async () => {
18    const res = await fetch(`https://api.airtable.com/v0/${AIRTABLE_BASE_ID}/${VIAJES_TABLE}/${recordId}`, {
19      headers: airtableHeaders,
20    });
28    form.append("upload_preset", CLOUDINARY_UPLOAD_PRESET);
29
30    const res = await fetch(`https://api.cloudinary.com/v1_1/${CLOUDINARY_CLOUD_NAME}/upload`, {
31      method: "POST",
32      body: form,
42
43  const updateAirtable = async (xmlUrl: string, pdfUrl: string) => {
44    const res = await fetch(`https://api.airtable.com/v0/${AIRTABLE_BASE_ID}/${VIAJES_TABLE}/${recordId}`, {
45      method: "PATCH",
46      headers: airtableHeaders,
56
57  const fetchFromFacturama = async (id: string, type: "xml" | "pdf") => {
58    const url = `https://apisandbox.facturama.mx/api/Cfdi/${type}/issued/${id}`;
59    const res = await fetch(url, {
60      headers: {

16    };
17  } else {
18    const client = new Cerebras({ apiKey: Deno.env.get("CEREBRAS_API_KEY") });
19    const completion = await client.chat.completions.create({
20      messages: [

12  },
13  {
14    "prompt": "weather dashboard for nyc using open-meteo API for NYC with icons",
15    "title": "Weather App",
16    "code":

8
91. Sign up for [Cerebras](https://cloud.cerebras.ai/)
102. Get a Cerebras API Key
113. Save it in your project env variable called `CEREBRAS_API_KEY`

211    } catch (error) {
212      Toastify({
213        text: "We may have hit our Cerebras Usage limits. Try again later or fork this and use your own API key.",
214        position: "center",
215        duration: 3000,

5      <meta name="viewport" content="width=device-width, initial-scale=1.0">
6      <title>CerebrasCoder</title>
7      <link rel="preconnect" href="https://fonts.googleapis.com" />
8      <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
9      <link
10        href="https://fonts.googleapis.com/css2?family=DM+Mono:ital,wght@0,300;0,400;0,500;1,300;1,400;1,500&family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap"
11        rel="stylesheet"
12      />
21      <meta property="og:description" content="Turn your ideas into fully functional apps in less than a second – powered by Llama3.3-70b on Cerebras's super-fast wafer chips. Code is 100% open-source, hosted on Val Town."">
22      <meta property="og:type" content="website">
23      <meta property="og:image" content="https://stevekrouse-blob_admin.web.val.run/api/public/CerebrasCoderOG.jpg">
24      
25          

1// Weather API endpoint using Open-Meteo
2export default async function(req: Request): Promise<Response> {
3  // Enable CORS
31  try {
32    // First, geocode the city name to get coordinates
33    const geocodeUrl = `https://geocoding-api.open-meteo.com/v1/search?name=${encodeURIComponent(city)}&count=1&language=en&format=json`;
34    const geocodeResponse = await fetch(geocodeUrl);
35    const geocodeData = await geocodeResponse.json();
52
53    // Fetch weather data using the coordinates
54    const weatherUrl = `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&current=temperature_2m,relative_humidity_2m,apparent_temperature,precipitation,weather_code,wind_speed_10m,wind_direction_10m&daily=weather_code,temperature_2m_max,temperature_2m_min,precipitation_sum&timezone=auto&forecast_days=3`;
55    
56    const weatherResponse = await fetch(weatherUrl);

12## Project Structure
13
14- `backend/index.ts` - HTTP endpoint that fetches weather data from Open-Meteo API
15- `frontend/index.html` - Main HTML page with the user interface
16- `frontend/app.js` - Frontend JavaScript for handling user interactions
25
26- TypeScript
27- Open-Meteo API (no API key required)
28- Tailwind CSS
29- Val Town platform

77  }),
78  execute: async ({ query }) => {
79    const apiKey = Deno.env.get("EXA_API_KEY");
80    const exa = new Exa(apiKey);
81    const result = await exa.searchAndContents(query, {
82      text: true,
100  }),
101  execute: async ({ url }) => {
102    const apiKey = Deno.env.get("EXA_API_KEY");
103    const exa = new Exa(apiKey);
104    const result = await exa.getContents([url], { text: true });
105    return {

1# Autonomous Val
2This project demonstrates how to build autonomous agents on Val Town that can be triggered by API calls, cron jobs, etc.
3
4## Setup
6
7Configure the following variables in your environment: 
8- `AGENT_API_KEY` (This is a secure token that you choose to secure the agent.tsx POST endpoint)
9- `OPENAI_API_KEY` (An OpenAI API Key)
10- `EXA_API_KEY` (Optional, though needed if you use the web search tool)
11
12## Usage
13Use `demo.tsx` to send objectives to your agent. 
14
15### API Usage
16To use the API from another client, you can POST authenticated requests to the agent.tsx endpoint:
17
18```javascript
28  headers: {
29    "Content-Type": "application/json",
30    "Authorization": `Bearer ${Deno.env.get("AGENT_API_KEY")}`,
31  },
32  body: JSON.stringify(requestBody),
35
36### Streaming Chat
37The API will also work with streaming chat front ends based on the Vercel AI SDK's useChat hook.
38
39You just need to pass `streamResults: true` in your API POST request.
40
41## Using Other Models
45
46## Plug
47Are you a Senior Software Engineer who wants to work on AI or TypeScript? Feel free to DM me on the Val Town Discord to learn more about careers at AngelList. We're solving some of the hardest problems in Venture Capital and Private Markets and are always looking for great people to join us.