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Configure the following variables in your environment:
- `AGENT_API_KEY` (This is a secure token that you choose to secure the agent.tsx POST endpoint)
- `OPENAI_API_KEY` (An OpenAI API Key)
- `EXA_API_KEY` (Optional, though needed if you use the web search tool)
},
{
"title": "An Introduction to OpenAI fine-tuning",
"slug": "an-introduction-to-openai-fine-tuning",
"link": "/blog/an-introduction-to-openai-fine-tuning",
"description": "How to customize OpenAI to your liking",
"pubDate": "Fri, 25 Aug 2023 00:00:00 GMT",
"author": "Steve Krouse",
"slug": "val-town-newsletter-16",
"link": "/blog/val-town-newsletter-16",
"description": "Our seed round, growing team, Codeium completions, @std/openai, and more",
"pubDate": "Mon, 22 Apr 2024 00:00:00 GMT",
"author": "Steve Krouse",
c15r/MCP/index.ts
2 matches
</div>
<div class="border rounded-lg p-4">
<h3 class="font-semibold text-orange-600 mb-2">🤖 OpenAI</h3>
<ul class="text-sm text-gray-600 space-y-1">
<li>• openai_chat</li>
</ul>
</div>
Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to cre
### OpenAI
```ts
import { 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 { OpenAI } from "https://esm.town/v/std/openai";
import type { AnalysisResponse } from "../../shared/types.ts";
const openai = new OpenAI();
export async function analyzeImage(imageData: string, fileName: string): Promise<AnalysisRespons
const base64Data = imageData.replace(/^data:image\/[a-z]+;base64,/, '');
const response = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
const audioFile = new File([audioBlob], fileName, { type: 'audio/wav' });
const transcription = await openai.audio.transcriptions.create({
file: audioFile,
model: "whisper-1",
// Analyze the transcribed text
const textAnalysis = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
// In practice, you'd need to extract frames from the video
const response = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
export async function generateSearchSuggestions(query: string): Promise<string[]> {
try {
const response = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
- **Multi-Media Support**: Image, video, and audio recognition
- **Real-time Capture**: In-browser media capture capabilities
- **AI Analysis**: Powered by OpenAI's vision and audio models
- **Intelligent Search**: Find similar content based on descriptions
- **Secure Storage**: User data and media metadata stored securely
## Technology Stack
- **Backend**: Hono, SQLite, OpenAI API
- **Frontend**: React, TailwindCSS
- **AI/ML**: OpenAI GPT-4 Vision, Whisper
- **Storage**: Val Town Blob storage
- **Authentication**: JWT-based sessions
1. Set up environment variables:
- `OPENAI_API_KEY`: Your OpenAI API key
- `JWT_SECRET`: Secret for JWT token signing
},
{
"title": "An Introduction to OpenAI fine-tuning",
"slug": "an-introduction-to-openai-fine-tuning",
"link": "/blog/an-introduction-to-openai-fine-tuning",
"description": "How to customize OpenAI to your liking",
"pubDate": "Fri, 25 Aug 2023 00:00:00 GMT",
"author": "Steve Krouse",
"slug": "val-town-newsletter-16",
"link": "/blog/val-town-newsletter-16",
"description": "Our seed round, growing team, Codeium completions, @std/openai, and more",
"pubDate": "Mon, 22 Apr 2024 00:00:00 GMT",
"author": "Steve Krouse",
mees/fuad/main.tsx
15 matches
// Get your API key from Val.town environment variables
const OPENAI_API_KEY = Deno.env.get("OPENAI_API_KEY");
const ASSISTANT_ID = Deno.env.get("ASSISTANT_ID");
if (!OPENAI_API_KEY || !ASSISTANT_ID) {
throw new Error(
key or Assistant ID in environment variables. Please set OPENAI_API_KEY and ASSISTANT_ID.",
);
}
if (!threadId || threadId === "") {
console.log("Creating new thread...");
const threadResponse = await fetch("https://api.openai.com/v1/threads", {
method: "POST",
headers: {
"Authorization": `Bearer ${OPENAI_API_KEY}`,
"Content-Type": "application/json",
"OpenAI-Beta": "assistants=v2",
},
body: JSON.stringify({}),
// Add message and run assistant
console.log("Running assistant...");
const runResponse = await fetch(`https://api.openai.com/v1/threads/${threadId}/runs`, {
method: "POST",
headers: {
"Authorization": `Bearer ${OPENAI_API_KEY}`,
"Content-Type": "application/json",
"OpenAI-Beta": "assistants=v2",
},
body: JSON.stringify({
const statusResponse = await fetch(
`https://api.openai.com/v1/threads/${threadId}/runs/${runId}`,
{
headers: {
"Authorization": `Bearer ${OPENAI_API_KEY}`,
"OpenAI-Beta": "assistants=v2",
},
},
console.log("Getting messages...");
const messagesResponse = await fetch(
`https://api.openai.com/v1/threads/${threadId}/messages?order=desc&limit=1`,
{
headers: {
"Authorization": `Bearer ${OPENAI_API_KEY}`,
"OpenAI-Beta": "assistants=v2",
},
},
Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to cre
### OpenAI
```ts
import { 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" },
{ getRandomRegexExplanation, saveRegexExplanation, getRegexExplanationById },
ReactMarkdown,
{ OpenAI },
{ renderToString },
{ jsx, jsxs, Fragment },
import("https://esm.town/v/stainless_em/brainrotdb"),
import("npm:react-markdown@7"),
import("https://esm.town/v/std/openai"),
import("npm:react-dom@19/server.browser"),
import("npm:react@19/jsx-runtime"),
}
const openai = new OpenAI();
const abortController = new AbortController();
const completion = await openai.chat.completions.create({
messages: [
{