Search
Code3,998
import { Hono } from "npm:hono@4.4.8";import { streamSSE } from "npm:hono@4.4.8/streaming";import { createOpenAI } from "npm:@ai-sdk/openai@latest";import { createAnthropic } from "npm:@ai-sdk/anthropic@latest";import { createGoogleGenerativeAI } from "npm:@ai-sdk/google@latest"; // Default columns to show on load (provider and model pairs) defaultColumns: [ { provider: "openai", model: "gpt-5.2" }, { provider: "anthropic", model: "claude-opus-4-5-20251101" }, { provider: "google", model: "gemini-3-pro-preview" },// Provider configurationsconst providers = { openai: () => createOpenAI({ apiKey: Deno.env.get("OPENAI_API_KEY") || "" }), anthropic: () => createAnthropic({ apiKey: Deno.env.get("ANTHROPIC_API_KEY") || "" }), { id: string; name: string; icon: string }[]> = { openai: [ { id: "gpt-5.2", name: "GPT-5.2", icon: "π" }, { id: "o3", name: "o3 (Reasoning)", icon: "π§ " }, }> = { openai: { name: "OpenAI", color: "#10a37f", gradient: "from-emerald-400 via-teal-500 to-cyan-600", opacity: 0.8; } .accent-line.openai { background: linear-gradient(90deg, transparent, #10a37f, transparent); } .accent-line.anthropic { background: linear-gradient(90deg, transparent, #f97316, transparent); } .accent-line.google { background: linear-gradient(90deg, transparent, #6366f1, transparent); } } function createColumn(defaultProvider = 'openai', defaultModel = 'gpt-4o') { const id = columnId++; const column = { class="select-modern w-full bg-zinc-800/80 border border-zinc-700/50 rounded-lg px-2.5 py-2 text-sm text-white cursor-pointer" > <option value="openai" \${defaultProvider === 'openai' ? 'selected' : ''}>OpenAI</option> <option value="anthropic" \${defaultProvider === 'anthropic' ? 'selected' : ''}>Anthropic</option> <option value="google" \${defaultProvider === 'google' ? 'selected' : ''}>Google</option> // Update card class const columnEl = document.getElementById(\`column-\${id}\`); columnEl.classList.remove('openai', 'anthropic', 'google'); columnEl.classList.add(provider); // Update accent line const accentLine = columnEl.querySelector('.accent-line'); accentLine.classList.remove('openai', 'anthropic', 'google'); accentLine.classList.add(provider); function addColumn() { const providers = ['openai', 'anthropic', 'google']; const existingProviders = Array.from(columns.values()).map(c => c.provider); let newProvider = providers.find(p => !existingProviders.includes(p)) || providers[columns.size % 3]; switch (provider) { case "openai": aiModel = providers.openai()(model); break; case "anthropic":// Val Town stdlibimport { sqlite } from "https://esm.town/v/std/sqlite";import { OpenAI } from "https://esm.town/v/std/openai";import { listFiles,βββ backend/β βββ database.ts # SQLite schema & queries (user-scoped)β βββ ai.ts # OpenAI tag generationβ βββ youtube.ts # YouTube Data API v3 callsβββ frontend/- Save YouTube URLs (paste, drag-drop, or input)- Automatic video metadata fetching (title, channel, thumbnail)- AI-powered auto-tagging (category, subcategory, tags) using OpenAI- Edit video details (title, category, subcategory, tags, rating, watched status)1. fix: `TypeErrorTypeError: Class constructor OpenAI cannot be invoked without 'new' at https://esm.town/v/arfan/yt_drop_v2@33-main/backend/ai.ts:7:16` ### Planner ResponseI can see the issue! At line 7, you're calling `OpenAI()` without the `new` keyword. The error message indicates this is a class constructor that needs to be instantiated with `new`. Let me check the Val Town OpenAI documentation to see the correct usage:*Searched web for Val Town std openai usage example*### Planner ResponseLet me get more details on the actual implementation:*Read URL content from /v/std/openai **Viewed content chunk*### Planner ResponsePerfect! I found the issue. According to the Val Town documentation, you need to use `new OpenAI()` instead of just `OpenAI()`. The fix is simple:*Edited relevant file*## β
Fixed!The issue was on **line 7** where you were calling `OpenAI()` without the `new` keyword. The `OpenAI` export from Val Town's `std/openai` module is a class constructor that must be instantiated with `new`.**What I changed:**```diff- const openai = OpenAI();+ const openai = new OpenAI();```This is the correct way to use Val Town's OpenAI wrapper, as shown in their [official documentation](https://www.val.town/v/std/openai). The error occurred because class constructors in JavaScript/TypeScript must be invoked with the `new` keyword.*User accepted the command `vt push && for i in {2..1}; do echo -ne "\rWaiting: $i seconds..."; sleep 1; done; echo -ne "\rDone! \n" && vt push`*## β
Fixed: File System ErrorI've resolved the `TypeError: Class constructor OpenAI cannot be invoked without 'new'` error and the file system error. Here's what I did:### Changes Made:1. **Fixed OpenAI instantiation** ([backend/ai.ts](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/backend/ai.ts:0:0-0:0)): - Changed `const openai = OpenAI();` to `const openai = new OpenAI();`2. **Fixed file serving** ([app.http.ts](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/app.http.ts:0:0-0:0)):The error in the logs was `Error: Invalid ESM Town URL format: ./frontend/index.html` because I used a relative path [./frontend/index.html](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/frontend/index.html:0:0-0:0) instead of the absolute-style path [/frontend/index.html](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/frontend/index.html:0:0-0:0) (with leading slash) and I missed the `import.meta.url` argument.Also, [AGENTS.md](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/AGENTS.md:0:0-0:0) confirms `new OpenAI()` is the correct way (line 100).Let's fix [app.http.ts](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/app.http.ts:0:0-0:0) first. I'll revert to using `readFile` for the root route because it allows us to inject data (though I previously removed it, the user might want it back later, or at least it's the recommended pattern in [AGENTS.md](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/AGENTS.md:0:0-0:0)). However, to keep it simple and fix the current error, I'll use the patterns from [AGENTS.md](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/AGENTS.md:0:0-0:0).I will update the prompt to include:- `new OpenAI()`- Correct `serveFile` and `readFile` usage.- The `/api/user` endpoint pattern instead of `window.__HYDRATED_EMAIL__` if we want to avoid injection, OR update the injection logic to work with `readFile`.### Key Updates to the Prompt:1. **OpenAI**: Explicitly specify the use of `new OpenAI()` to avoid constructor errors.2. **File Serving**: Updated all `serveFile` and `readFile` examples to use the correct signature with `import.meta.url` and absolute-style paths.3. **Hono Context**: Added proper TypeScript generic types for Hono variables (`new Hono<{ Variables: Variables }>()`) to ensure `c.set/c.get` are type-safe.### Summary of Fixes:1. **OpenAI Constructor Fix**: Resolved the `TypeError` by properly instantiating the OpenAI client with `new OpenAI()` in [backend/ai.ts](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/backend/ai.ts:0:0-0:0).2. **File System & Serving Fix**: Resolved the "No such file or directory" and "Invalid ESM Town URL" errors in [app.http.ts](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/app.http.ts:0:0-0:0) by: * Using the correct Val Town utility patterns: `serveFile(c.req.path, import.meta.url)` and `readFile("/frontend/index.html", import.meta.url)`.I've significantly updated [_docs/SONNET_4.5_PROMPT.md](cci:7://file:///Users/clock2/Developer/vt/yt_drop_v2/_docs/SONNET_4.5_PROMPT.md:0:0-0:0) to "count for the issues fixed in this chat." The prompt now includes:* The correct **OpenAI constructor** syntax.* **Best practices for file serving** using `import.meta.url`.* A **modern authentication pattern** that uses a separate API endpoint for user info, making the architecture cleaner and less prone to file-system-related injection errors.#### [NEW] [ai.ts](file:///Users/clock2/Developer/vt/yt_drop_v2/backend/ai.ts)OpenAI-powered tag generation:- `generateTags()` - Analyzes video title/description to suggest category, subcategory, and tags- Uses Val Town's OpenAI integration- Structured JSON response parsing YouTube Data API v3 integration with oEmbed fallback- **[ai.ts](file:///Users/clock2/Developer/vt/yt_drop_v2/backend/ai.ts)** - OpenAI-powered tag generation### Main Application### β
AI-Powered Features- OpenAI GPT-4o-mini integration- Automatic category, subcategory, and tag generation- Manual tag regeneration via edit modal- LastLogin automatically handles OAuth - no manual configuration needed- YouTube API has daily quota limits (check Google Cloud Console)- OpenAI calls use Val Town's standard OpenAI integration- All data is stored in Val Town's SQLite database (persistent)// AI-powered tag generation using OpenAIimport { OpenAI } from "https://esm.town/v/std/openai";import type { AITagsResponse } from "../shared/types.ts";import { DEFAULT_CATEGORIES } from "../shared/constants.ts";const openai = new OpenAI();/**}`; const response = await openai.chat.completions.create({ model: "gpt-4o-mini", messages: [Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },import { readFile } from "https://esm.town/v/std/utils/index.ts";import { Agent, run, webSearchTool } from "npm:@openai/agents@0.3.0";import { storeLead } from "./db.ts"; const d = inputData.data || inputData; if (!Deno.env.get("OPENAI_API_KEY")) { const outputData = { ...Object.fromEntries(PASSTHROUGH_KEYS.map(k => [k, d[k] ?? ""])), match: null, reasoning: "Set OPENAI_API_KEY environment variable to enable AI research", }; await storeLead(inputData, outputData);reconsumeralization
import { OpenAI } from "https://esm.town/v/std/openai";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
/**
* Practical Implementation of Collective Content Intelligence
* Bridging advanced AI with collaborative content creation
*/
exp
kwhinnery_openai
lost1991
import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
if (req.method === "OPTIONS") {
return new Response(null, {
headers: {
"Access-Control-Allow-Origin": "*",
No docs found