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92
93/**
94 * Format chat history for Anthropic API
95 */
96function formatChatHistoryForAI(history) {
321bot.on("message", async (ctx) => {
322  try {
323    // Get Anthropic API key from environment
324    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
325    if (!apiKey) {
326      console.error("Anthropic API key is not configured.");
327      ctx.reply(
328        "I apologize, but I'm not properly configured at the moment. Please inform the household administrator."
332
333    // Initialize Anthropic client
334    const anthropic = new Anthropic({ apiKey });
335
336    // Get message text and user info
502  // Set webhook if it is not set yet
503  if (!isEndpointSet) {
504    await bot.api.setWebhook(req.url, {
505      secret_token: SECRET_TOKEN,
506    });

27async function generateConciseWeatherSummary(weatherDay) {
28  try {
29    // Get API key from environment
30    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
31    if (!apiKey) {
32      console.error("Anthropic API key is not configured.");
33      return null;
34    }
35
36    // Initialize Anthropic client
37    const anthropic = new Anthropic({ apiKey });
38
39    const response = await anthropic.messages.create({

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;

3import {generatePrompt} from "../prompts/resumePrompts.ts"
4import {OpenAICompatibleResumeSchema, ParsedResumeSchema} from "../schemas/resumeSchemas.ts"
5import {z} from "npm:@hono/zod-openapi"
6import {zodResponseFormat} from "npm:openai/helpers/zod"
7
23    }
24
25    // Initialize OpenAI client (uses API key from environment in ValTown)
26    const openai = new OpenAI()
27
59${extractionFocus}${extractLanguages}${extractSummary}`
60
61    console.log("Calling OpenAI API for initial extraction...")
62
63
64    // Call OpenAI API with enhanced system prompt and structured output schema
65    const completion = await openai.beta.chat.completions.parse({
66      model: "gpt-4o",
93      throw new Error("OpenAI rate limit exceeded. Please try again later.")
94    } else if ((error as Error).message.includes("401") || (error as Error).message.includes("403")) {
95      throw new Error("Authentication error with OpenAI API. Check your API key.")
96    } else {
97      throw new Error("Failed to parse resume with OpenAI: " + (error as Error).message)
136Always return the complete JSON structure with your improvements.`
137
138    console.log("Calling OpenAI API for validation and standardization...")
139
140
141    // Call OpenAI API with enhanced validation
142    const completion = await openai.beta.chat.completions.parse({
143      model: "gpt-4o",
166  } catch (error) {
167    console.error("OpenAI validation error:", error)
168    console.warn("Using original data due to validation API error")
169    // Return original data if validation API call fails
170    return data
171  }
214
215
216    // Call OpenAI API with retry strategy
217    const completion = await openai.beta.chat.completions.parse({
218      model: "gpt-4o",

13## Project Structure
14
15- `/backend` - Server-side code for the HTTP endpoint and API
16- `/frontend` - Client-side code for the map interface
17- `/shared` - Shared types and utilities
19## Technologies Used
20
21- Backend: Hono (API framework)
22- Database: SQLite for persistent storage
23- Frontend: HTML, CSS, JavaScript with Leaflet.js for mapping

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

18});
19
20// --- API Routes for Memories ---
21
22// GET /api/memories - Retrieve all memories
23app.get("/api/memories", async (c) => {
24  const memories = await getAllMemories();
25  return c.json(memories);
26});
27
28// POST /api/memories - Create a new memory
29app.post("/api/memories", async (c) => {
30  const body = await c.req.json<Omit<Memory, "id">>();
31  if (!body.text) {
36});
37
38// PUT /api/memories/:id - Update an existing memory
39app.put("/api/memories/:id", async (c) => {
40  const id = c.req.param("id");
41  const body = await c.req.json<Partial<Omit<Memory, "id">>>();
58});
59
60// DELETE /api/memories/:id - Delete a memory
61app.delete("/api/memories/:id", async (c) => {
62  const id = c.req.param("id");
63  try {
75// --- Blob Image Serving Routes ---
76
77// GET /api/images/:filename - Serve images from blob storage
78app.get("/api/images/:filename", async (c) => {
79  const filename = c.req.param("filename");
80

27async function generateConciseWeatherSummary(weatherDay) {
28  try {
29    // Get API key from environment
30    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
31    if (!apiKey) {
32      console.error("Anthropic API key is not configured.");
33      return null;
34    }
35
36    // Initialize Anthropic client
37    const anthropic = new Anthropic({ apiKey });
38
39    const response = await anthropic.messages.create({