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77async function generateFunFacts(previousFacts) {
78  try {
79    // Get API key from environment
80    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
81    if (!apiKey) {
82      console.error("Anthropic API key is not configured.");
83      return null;
84    }
85
86    // Initialize Anthropic client
87    const anthropic = new Anthropic({ apiKey });
88
89    // Format previous facts for the prompt

20### 2. HTTP Vals
21
22- Create web APIs and endpoints
23- Handle HTTP requests and responses
24- Example structure:
66- Generate code in TypeScript
67- Add appropriate TypeScript types and interfaces for all data structures
68- Prefer official SDKs or libraries than writing API calls directly
69- Ask the user to supply API or library documentation if you are at all unsure about it
70- **Never bake in secrets into the code** - always use environment variables
71- Include comments explaining complex logic (avoid commenting obvious operations)
190- For AI-generated images, use: `https://maxm-imggenurl.web.val.run/the-description-of-your-image`
191- **Storage:** DO NOT use the Deno KV module for storage
192- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods
193- **Weather Data:** Use open-meteo for weather data (doesn't require API keys) unless otherwise specified
194- **View Source:** Add a view source link with `import.meta.url.replace("esm.town", "val.town")` and include `target="_top"` attribute
195- **Error Debugging:** Add `<script src="https://esm.town/v/std/catch"></script>` to HTML to capture client-side errors
196- **Error Handling:** Only use try...catch when there's a clear local resolution; avoid catches that merely log or return 500s - let errors bubble up with full context
197- **Environment Variables:** Use `Deno.env.get('keyname')` and minimize their use - prefer APIs without keys
198- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure compatibility on server and browser
199- **Storage Strategy:** Only use backend storage if explicitly required; prefer simple static client-side sites
230
231### Backend (Hono) Best Practices
232- Hono is the recommended API framework (similar to Express, Flask, or Sinatra)
233- Main entry point should be `backend/index.ts`
234- **Static asset serving:** Use the utility functions to read and serve project files:
251  });
252  ```
253- Create RESTful API routes for CRUD operations
254- Be careful with error handling as Hono tends to swallow errors
255- Always include this snippet at the top-level Hono app to re-throwing errors to see full stack traces:
268- Use React 18.2.0 consistently in all imports and the `@jsxImportSource` pragma
269- Follow the React component pattern from the example project
270- Handle API calls properly with proper error catching
271
272### Database Patterns
299   - For files in the project, use `readFile` helpers
300
3015. **API Design:**
302   - `fetch` handler is the entry point for HTTP vals
303   - Run the Hono app with `export default app.fetch // This is the entry point for HTTP vals`

10import { NotebookView } from "./NotebookView.tsx";
11
12const API_BASE = "/api/memories";
13const MEMORIES_PER_PAGE = 20; // Increased from 7 to 20 memories per page
14
90
91    // Fetch avatar image
92    fetch("/api/images/stevens.jpg")
93      .then((response) => {
94        if (response.ok) return response.blob();
104
105    // Fetch wood background
106    fetch("/api/images/wood.jpg")
107      .then((response) => {
108        if (response.ok) return response.blob();
133    setError(null);
134    try {
135      const response = await fetch(API_BASE);
136      if (!response.ok) {
137        throw new Error(`HTTP error! status: ${response.status}`);
176
177    try {
178      const response = await fetch(API_BASE, {
179        method: "POST",
180        headers: { "Content-Type": "application/json" },
199
200    try {
201      const response = await fetch(`${API_BASE}/${id}`, {
202        method: "DELETE",
203      });
231
232    try {
233      const response = await fetch(`${API_BASE}/${editingMemory.id}`, {
234        method: "PUT",
235        headers: { "Content-Type": "application/json" },
606    <div className="font-pixel text-[#f8f1e0]">
607      <style jsx>{`
608        @import url("https://fonts.googleapis.com/css2?family=Pixelify+Sans&display=swap");
609
610        @tailwind base;

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          

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: [

1// dreamingUtility.ts
2// Uses Anthropic API to consolidate memories through AI-powered processing
3
4import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
9// Initialize Anthropic client
10const anthropic = new Anthropic({
11  apiKey: process.env.ANTHROPIC_API_KEY || ""
12});
13
30    const formattedMemories = formatMemoriesForProcessing(allMemories);
31    
32    // Step 3: Use Anthropic API to consolidate the memories
33    const consolidatedMemories = await consolidateWithAI(formattedMemories);
34    
107}
108
109// Use Anthropic API to consolidate memories
110async function consolidateWithAI(formattedMemories) {
111  console.log("Sending memories to Anthropic for consolidation...");
156    return response.content[0].text;
157  } catch (error) {
158    console.error("Error calling Anthropic API:", error);
159    throw new Error("Failed to consolidate memories using AI: " + error.message);
160  }

97
98export async function sendDailyBriefing(chatId?: string, today?: DateTime) {
99  // Get API keys from environment
100  const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
101  const telegramToken = Deno.env.get("TELEGRAM_TOKEN");
102
106  }
107
108  if (!apiKey) {
109    console.error("Anthropic API key is not configured.");
110    return;
111  }
122
123  // Initialize Anthropic client
124  const anthropic = new Anthropic({ apiKey });
125
126  // Initialize Telegram bot
162
163  // disabled title for now, it seemes unnecessary...
164  // await bot.api.sendMessage(chatId, `*${title}*`, { parse_mode: "Markdown" });
165
166  // Then send the main content
169
170  if (content.length <= MAX_LENGTH) {
171    await bot.api.sendMessage(chatId, content, { parse_mode: "Markdown" });
172    // Store the briefing in chat history
173    await storeChatMessage(
198    // Send each chunk as a separate message and store in chat history
199    for (const chunk of chunks) {
200      await bot.api.sendMessage(chatId, chunk, { parse_mode: "Markdown" });
201      // Store each chunk in chat history
202      await storeChatMessage(