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Code3,168
export default async function server(request: Request): Promise<Response> { const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite"); const { OpenAI } = await import("https://esm.town/v/std/openai"); const KEY = "MyProject"; const SCHEMA_VERSION = 3; `); const openai = new OpenAI(); if (request.method === "POST") { if (request.url.includes("/ai-suggestion")) { const completion = await openai.chat.completions.create({ messages: [ {
import OpenAI from "npm:openai";const openai = new OpenAI();export default async (req) => { // Create the stream with the signal const stream = await openai.chat.completions.create({ model: "gpt-3.5-turbo", messages: [{ role: "user", content: "Tell me a story" }], // Handle connection closed event req.signal.addEventListener("abort", () => { console.log("Client disconnected, aborting OpenAI request"); controller.abort(); writer.close().catch(err => {
import OpenAI from "npm:openai";const openai = new OpenAI();export default async (req) => { try { const stream = await openai.chat.completions.create({ model: "gpt-3.5-turbo", messages: [{
Frontend: React 18, TailwindCSSAPIs: Open-Meteo, OpenAI GPT-4oHosting: ESM-based module imports
// Fetch AI-powered weather insight const { OpenAI } = await import("https://esm.town/v/std/openai"); const openai = new OpenAI(); const aiResponse = await openai.chat.completions.create({ messages: [ {
// Fetch AI-powered weather insight const { OpenAI } = await import("https://esm.town/v/std/openai"); const openai = new OpenAI(); const aiResponse = await openai.chat.completions.create({ messages: [ {
Frontend: React 18, TailwindCSSAPIs: Open-Meteo, OpenAI GPT-4oHosting: ESM-based module imports
export default async function server(request: Request): Promise<Response> { const { OpenAI } = await import("https://esm.town/v/std/openai"); // Enhanced server-side logging } const openai = new OpenAI(); const url = new URL(request.url); // Call AgentA to create the tool definition const agentACompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, `; const agentBCompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, }); // Use AgentB (a separate OpenAI instance) to process the tool request const agentBPrompt = ` You are AgentB, a specialized tool agent designed to process specific information requests. `; const agentBCompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, }); // Fallback response if OpenAI fails let agentAResponse: AgentResponse = { actionType: "direct_response", `; const agentACompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" },
export default async function server(request: Request): Promise<Response> { const { OpenAI } = await import("https://esm.town/v/std/openai"); const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite"); }; const openai = new OpenAI(); const KEY = extractKey(new URL(import.meta.url)); const SCHEMA_VERSION = 3; // Increment schema version for tool support // Call AgentA to create the tool definition const agentACompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, `; const agentBCompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, } // Use AgentB (a separate OpenAI instance) to process the tool request const agentBPrompt = ` You are AgentB, a specialized tool agent designed to process specific information requests. `; const agentBCompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" }, }); // Fallback response if OpenAI fails let agentAResponse: AgentResponse = { actionType: "direct_response", `; const agentACompletion = await openai.chat.completions.create({ model: "gpt-4o-mini", response_format: { type: "json_object" },
export default async function server(request: Request): Promise<Response> { const { OpenAI } = await import("https://esm.town/v/std/openai"); const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite"); const openai = new OpenAI(); const url = new URL(request.url); const path = url.pathname.split("/").filter(Boolean); `; const completion = await openai.chat.completions.create({ model: "gpt-4o-mini", messages: [{ role: "user", content: componentPrompt }],
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": "*",
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