Search

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" },

import { Hono } from "npm:hono@4.4.12";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- HIERARCHICAL DATABASE (Emptied as requested) ---
  const userInput = `Occupation: ${occupation.title}, Task: ${task.task}`;
  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 }, { role: "user", content: refined_prompt }],
  }
  try {
    const openai = new OpenAI();
    const agentCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
      throw new Error("The agent returned no content.");
    }
    const markdownCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [

import { Hono } from "npm:hono@4.4.12";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- HIERARCHICAL DATABASE (Emptied as requested) ---
  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 }],
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: INPUT_EXTRACTOR_SYSTEM_PROMPT }, { role: "user", content: refined_prompt }],
  try {
    const openai = new OpenAI();
    const agentCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
    }
    const latexCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [

import { AgentExecutor } from 'npm:langchain/agents'
import { ChatPromptTemplate } from 'npm:@langchain/core/prompts'
import { OpenAI } from "https://esm.town/v/std/openai";
import { WikipediaQueryRun } from 'npm:@langchain/community/tools/wikipedia_query_run'
import { DynamicTool } from 'npm:@langchain/core/tools'
export async function agentExample() {
  const llm = new OpenAI()
  
  const wikipediaTool = new WikipediaQueryRun({

import { email as sendEmail } from "https://esm.town/v/std/email?v=9";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- CONSTANTS & CONFIGURATION ---
    return c.json({ error: "Not enough credits." }, 402);
  const openai = new OpenAI();
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [{ role: "system", content: VIBE_CHECK_PROMPT }, { role: "user", content: text }],

  }
  const json = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {
    },
    body: JSON.stringify({
      model: "openai",
      messages: [
        {

  const question = decodeURIComponent(path.substring(1)).replaceAll("-", " ").trim();
  const json = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {
    },
    body: JSON.stringify({
      model: "openai",
      messages: [
        {

  const question = "https://ask-ai.val.run/" + encodeURIComponent(rawQuestion.replaceAll(" ", "-"));
  const json = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {
    },
    body: JSON.stringify({
      model: "openai",
      messages: [
        {

import { Hono } from "npm:hono@4.4.12";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- HIERARCHICAL DATABASE (Emptied as requested) ---
  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 }],
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: INPUT_EXTRACTOR_SYSTEM_PROMPT }, { role: "user", content: refined_prompt }],
  try {
    const openai = new OpenAI();
    const agentCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
    }
    const latexCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      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
```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" },