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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
```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" },

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" },

  }))
  const { categorizeIssues: categorizeWithAI } = await import('./openai.ts')
  return categorizeWithAI(processedIssues)
}

2. **Environment Variables** (left sidebar)
   ```bash
   OPENAI_API_KEY=your_openai_api_key_here
   ```
## Customization
Edit the system prompt in `openai.ts` to change how issues are categorized.
## Output

import OpenAI from 'npm:openai'
const openai = new OpenAI({
  apiKey: Deno.env.get('OPENAI_API_KEY')
})
export async function categorizeIssues(issues: any[]) {
  const completion = await openai.chat.completions.create({
    model: "gpt-4o-mini",
    messages: [{ role: "user", content: `Analyze these GitHub issues and categorize them into a two-level system:
  const aiResponse = completion.choices[0].message.content
  if (!aiResponse) throw new Error('OpenAI returned empty response')
  
  try {
    return JSON.parse(aiResponse)
  } catch (error) {
    console.error('Failed to parse OpenAI response:', aiResponse.substring(0, 1000) + '...')
    
    // Try to repair truncated JSON by finding the last complete array
      return JSON.parse(repairedResponse)
    } catch (repairError) {
      throw new Error(`Invalid JSON response from OpenAI: ${error.message}`)
    }
  }

import { Hono } from "npm:hono@4.4.12";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- Banks 7/20/2025. For Leo & Niko. <3
// --- josh@dereticular.com
  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 }],
  const userInput = `Occupation: ${occupation_title}, 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 }],
  const userInput = JSON.stringify({ type: "occupations", industry: industry });
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
  const userInput = JSON.stringify({ type: "tasks", occupation: occupation_name });
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
  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 htmlCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [

    const headerKey = req.headers['x-goog-api-key'];
    // Check for Bearer token in Authorization header (OpenAI style)
    if (authHeader && authHeader.startsWith('Bearer ')) {
        const token = authHeader.substring(7);
    try {
        for await (const chunk of stream) {
            const openAIChunk = toOpenAIStreamChunk(chunk, model);
            const chunkText = openAIChunk.choices[0].delta.content || "";
            if (chunkText) {
                process.stdout.write(chunkText);
            }
            res.write(`data: ${JSON.stringify(openAIChunk)}\n\n`);
        }
        // Send the final [DONE] message according to OpenAI spec
        res.write('data: [DONE]\n\n');
    } catch (error) {
    const geminiResponse = await service.generateContent(model, requestBody);
    console.log('[Server] Raw Gemini Unary Response:', JSON.stringify(geminiResponse, null, 2)); // Add this line
    const openAIResponse = toOpenAIChatCompletion(geminiResponse, model);
    console.log('[Server Response Unary]');
    process.stdout.write('> ');
    process.stdout.write('\n');
    res.writeHead(200, { 'Content-Type': 'application/json' });
    res.end(JSON.stringify(openAIResponse));
    const expiryDate = service.authClient.credentials.expiry_date;
    console.log(`[Auth Token] Time until expiry: ${formatExpiryTime(expiryDate)}`);
        if (req.method === 'GET' && requestUrl.pathname === '/v1/models') {
            const models = await service.listModels();
            const openAIModels = toOpenAIModelList(models.models.map(m => m.name.replace('models/', '')));
            res.writeHead(200, { 'Content-Type': 'application/json' });
            const expiryDate = service.authClient.credentials.expiry_date;
            console.log(`[Auth Token] Time until expiry: ${formatExpiryTime(expiryDate)}`);
            return res.end(JSON.stringify(openAIModels));
        }
        if (req.method === 'POST' && requestUrl.pathname === '/v1/chat/completions') {
            const openaiRequest = await getRequestBody(req);
            const model = openaiRequest.model;
            const geminiRequest = toGeminiRequest(openaiRequest);
            if (PROMPT_LOG_MODE !== 'none') {
            }
            if (openaiRequest.stream) {
                await handleStreamRequest(res, service, model, geminiRequest);
            } else {
server.listen(SERVER_PORT, HOST, () => {
    console.log(`--- OpenAI-Compatible Server Configuration ---`);
    console.log(`  Host: ${HOST}`);
    console.log(`  Port: ${SERVER_PORT}`);

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: [