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shane10987654321/ChatGPTclone/sandman.tsx

4 matches


export default async function server(request: Request): Promise<Response> {
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const openai = new OpenAI();
  if (request.method === "POST" && new URL(request.url).pathname === "/chat") {
      async start(controller) {
        try {
          const chatCompletion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
          }
        } catch (error) {
          console.error("OpenAI Error:", error);
          controller.enqueue(
            new TextEncoder().encode(

shane10987654321/ChatGPTclone/monaro.tsx

4 matches


export default async function server(request: Request): Promise<Response> {
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const openai = new OpenAI();
  if (request.method === "POST" && new URL(request.url).pathname === "/chat") {
      async start(controller) {
        try {
          const chatCompletion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
          }
        } catch (error) {
          console.error("OpenAI Error:", error);
          controller.enqueue(
            new TextEncoder().encode(

shane10987654321/ChatGPTclone/main.tsx

4 matches


export default async function server(request: Request): Promise<Response> {
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const openai = new OpenAI();
  if (request.method === "POST" && new URL(request.url).pathname === "/chat") {
      async start(controller) {
        try {
          const chatCompletion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
          }
        } catch (error) {
          console.error("OpenAI Error:", error);
          controller.enqueue(
            new TextEncoder().encode(

shane10987654321/Chat70s/server.js

2 matches

  const { text } = await req.json();
  const apiKey = Deno.env.get("OPENAI_API_KEY");
  const apiUrl = "https://api.openai.com/v1/chat/completions";
  const body = {

varunaswal/thirdTimer/valtown.mdc

4 matches

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
```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" },

shane10987654321/Chat70s/package.json

1 matches

    "express": "^4.18.2",
    "node-fetch": "^3.3.2",
    "openai": "^4.11.0",
    "tesseract.js": "^2.1.4"
  }

amine/valt/main.email.ts

3 matches

import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
import { OpenAI } from "https://esm.town/v/std/openai";
import EmailReplyParser from "https://esm.sh/email-reply-parser@2.0.1";
const openai = new OpenAI();
  }));
  const completion = await openai.chat.completions.create({
    messages: [
      { role: "system", content: system_prompt },

gizmo187/yc_finder/main.tsx

1 matches

brian@airbnb.com,Brian Chesky
drew@dropbox.com,Drew Houston
sam@openai.com,Sam Altman
tim@apple.com,Tim Cook
jeff@amazon.com,Jeff Bezos

real/ai-shine/main.tsx

14 matches

// It uses the Hono web framework to serve a Single-Page Application (SPA).
import { OpenAI } from "https://esm.town/v/std/openai";
import { Hono } from "npm:hono@4.4.12";
import type { Context } from "npm:hono@4.4.12";
  if (!industry) return c.json({ error: "Industry is a required field." }, 400);
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: DYNAMIC_LIST_GENERATOR_PROMPT }, {
  if (!occupation) return c.json({ error: "Occupation is a required field." }, 400);
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: DYNAMIC_LIST_GENERATOR_PROMPT }, {
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: PROMPT_REFINER_SYSTEM_PROMPT }, { role: "user", content: userInput }],
  if (!refined_prompt) return c.json({ error: "refined_prompt is required" }, 400);
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: INPUT_EXTRACTOR_SYSTEM_PROMPT }, {
  if (!refined_prompt) return c.json({ error: "refined_prompt is required" }, 400);
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: CLARIFICATION_AGENT_SYSTEM_PROMPT }, {
  try {
    const openai = new OpenAI();
    const agentCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: systemPromptWithContext }, {
    if (!agentOutput) throw new Error("The agent returned no content.");
    const htmlCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: HTML_FORMATTER_SYSTEM_PROMPT }, { role: "user", content: agentOutput }],

Test_Org/blog/get-old-posts.ts

5 matches

  },
  {
    "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",