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export default async function server(request: Request): Promise<Response> {
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const openai = new OpenAI();
  // Mock tools for demonstration purposes
      // Use the decomposer agent to break down the problem
      const decomposerCompletion = await openai.chat.completions.create({
        messages: [
          { 
      // Now create a structured workflow
      const workflowCompletion = await openai.chat.completions.create({
        messages: [
          { 
                          "You are a problem-solving agent working as part of a multi-agent system.";
      
      const agentCompletion = await openai.chat.completions.create({
        messages: [
          { 

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    const { text: summary } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a solar weather expert.",
      prompt: `Summarize today's solar weather based on the following data: ${JSON.stringify(todayData)}`,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: feedback } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are an expert code reviewer.",
      prompt: "Analyze the following codebase for skill level, code quality, potential code smells, and areas for improvement: " + body.codebase,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    const interactionsText = body.interactions.join("\n");
    const { text: personalityProfile } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a personality analyst.",
      prompt: "Based on the following user interactions, identify patterns and summarize the user's personality traits: " + interactionsText,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    const { text: codeAnalysis } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a code quality and complexity analyst.",
      prompt: `Analyze the following codebase for quality, complexity, and structure: ${codebase}. Include metrics such as the number of files, lines of code, and code complexity.`,
    const { text: skillAssessment } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are an expert in assessing programming skills.",
      prompt: `Based on the following questions and answers, estimate the user's skill level and experience: ${questions}. Consider topics like programming languages used, frameworks, and previous projects.`,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: haiku } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a poet creating haikus.",
      prompt: `Create a haiku about the following topic: ${body.topic}. The haiku should follow the 5-7-5 syllable structure.`,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: analysis } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are an expert in identifying logical fallacies.",
      prompt: "Analyze the following text for common logical fallacies such as ad hominem, straw man, slippery slope, etc.: " + body.text,

import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: dietSuggestion } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are an expert zoologist.",
      prompt:

import { openai } from "npm:@ai-sdk/openai";
import ValTown from "npm:@valtown/sdk";
import { generateObject, generateText } from "npm:ai";
    const generateImplStart = Date.now();
    const { text: implementation } = await generateText({
      model: openai("gpt-4o"),
      system: `
# VALTOWN HTTP Cloud Function Generator Prompt
5. **AI API Integration (if applicable)**:  
   - If the toolDescription indicates that creative enrichment or additional processing via AI is needed, integrate an AI API call into the function.  
   - Import { openai } from "npm:@ai-sdk/openai" and { generateText } from "npm:ai".  
   - Use the model "gpt-4o-mini".  
   - Construct a detailed, context-appropriate prompt for the AI call and integrate its response into the function’s output.
---typescript
import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: analysis } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a creative code analyst.",
      prompt: "Analyze the following recent changes in the code: " + body.recent_changes,
    const { object: manifestoConfig } = await generateObject({
      model: openai("gpt-4o"),
      schema: z.object({
        manifestoConfigPureJson: z.string(),
    const { object: updatedManifestoConfigTypescript } = await generateObject({
      model: openai("gpt-4o"),
      system: promptForUpdatedManifest,
      schema: z.object({

import { openai } from "npm:@ai-sdk/openai";
import ValTown from "npm:@valtown/sdk";
import { generateObject, generateText } from "npm:ai";
    const generateImplStart = Date.now();
    const { text: implementation } = await generateText({
      model: openai("gpt-4o"),
      system: `
# VALTOWN HTTP Cloud Function Generator Prompt
5. **AI API Integration (if applicable)**:  
   - If the toolDescription indicates that creative enrichment or additional processing via AI is needed, integrate an AI API call into the function.  
   - Import { openai } from "npm:@ai-sdk/openai" and { generateText } from "npm:ai".  
   - Use the model "gpt-4o-mini".  
   - Construct a detailed, context-appropriate prompt for the AI call and integrate its response into the function’s output.
---typescript
import { openai } from "npm:@ai-sdk/openai";
import { generateText } from "npm:ai";
    }
    const { text: analysis } = await generateText({
      model: openai("gpt-4o-mini"),
      system: "You are a creative code analyst.",
      prompt: "Analyze the following recent changes in the code: " + body.recent_changes,
    const { object: manifestoConfig } = await generateObject({
      model: openai("gpt-4o"),
      schema: z.object({
        manifestoConfigPureJson: z.string(),
    const { object: updatedManifestoConfigTypescript } = await generateObject({
      model: openai("gpt-4o"),
      system: promptForUpdatedManifest,
      schema: z.object({