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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 { Hono } from "https://esm.sh/hono@3.11.7";import { OpenAI } from "https://esm.town/v/std/openai";import { readFile } from "https://esm.town/v/std/utils/index.ts";import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";});// Initialize OpenAIconst openai = new OpenAI();// Initialize cache on startup with error handling } console.log(`Fetching fresh data from OpenAI for: "${plantName}"`); // If not cached, fetch from OpenAI const prompt = `Please provide detailed information about the plant "${plantName}" in the following JSON format. Be specific and accurate:Only return the JSON object, no additional text.`; const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: prompt } if (!responseText) { return c.json({ error: "No response from OpenAI" }, 500); } } // Parse the JSON response from OpenAI const plantInfo: PlantInfo = JSON.parse(cleanedResponse);
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" },
Backend & Flask (Python) \\Database & MongoDB / Firebase \\NLP API & OpenAI GPT \\Styling & TailwindCSS / Bootstrap \\\hline
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)
import { anthropic } from "npm:@ai-sdk/anthropic";import { openai } from "npm:@ai-sdk/openai";import { generateText, streamText } from "npm:ai";import { getSystemPrompt } from "./prompt.tsx"; const maxSteps = 10; const model = Deno.env.get("ANTHROPIC_API_KEY") ? anthropic("claude-3-7-sonnet-latest") : openai("gpt-4.1"); const options = {
export default async function(req: Request) { const { OpenAI } = await import("https://esm.town/v/std/openai"); const { PDFExtract } = await import("npm:pdf.js-extract"); const action = url.searchParams.get("action"); const sourceUrl = import.meta.url.replace("esm.town", "val.town"); const openai = new OpenAI(); const MAX_TEXT_SUGGEST = 20000; const MAX_TEXT_ANALYZE = 30000; agentName: string, ): Promise<object> { log.push({ agent: agentName, type: "step", message: `Calling OpenAI gpt-4o...` }); try { const response = await openai.chat.completions.create({ model: "gpt-4o", messages: [{ role: "system", content: systemPrompt }, { role: "user", content: userMessage }],
*/import { OpenAI } from "https://esm.town/v/std/openai";import { Octokit } from "https://esm.sh/@octokit/rest@20.0.2";import { WebClient } from "https://esm.sh/@slack/web-api@7.0.2";async function isBugReportLLM(text: string): Promise<boolean> { try { // Check if OpenAI API key is available if (!Deno.env.get("OPENAI_API_KEY")) { console.warn("OpenAI API key not found - bug detection disabled"); return false; } const openai = new OpenAI(); const completion = await openai.chat.completions.create({ messages: [ {async function findRelatedIssues(slackMessage: string, issues: any[]): Promise<any[]> { try { // Check if OpenAI API key is available if (!Deno.env.get("OPENAI_API_KEY")) { return []; } }).join("\n\n"); const openai = new OpenAI(); const completion = await openai.chat.completions.create({ messages: [ {
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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