Modular Agent Wrapper
A Next.js API route that dynamically imports and executes agent modules based on user tiers, managing file organization tasks and logging results to Supabase.
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Build Modular Agent Wrapper Build a TypeScript API route /api/organize-file using Next.js that: Accepts { fileId, userId, metadata } via POST Loads a list of agent names dynamically from a file (agentRegistry.ts) Sequentially imports and runs each agent from /agents/ Logs every result to agent_logs table in Supabase Stops execution early if any agent returns { abort: true } Returns final aggregated output to the frontend 🧠 Prompt 2 – Create Agent Registry with Tier-Based Switching Create a helper function getAgentBundleByTier(tier: string) that returns an array of agent names depending on the user’s tier. Tiers: standard, pro, veteran, admin. File: /lib/agentRegistry.ts. 🧠 Prompt 3 – Refactor All Toolhouse Agents to Modular Format For each Toolhouse agent (FileOrganizer_AI, NotifyUser_AI, NoCodeGuardian_AI, AdaptiveBackend_AI, JournalSynth_AI): Create a file in /agents/AgentName.ts Export a single async run(input) function that accepts { fileId, userId, metadata } Return: { success, ...
OpenAI API
To run the app in the sandbox, please add your OpenAI API key to the .env file.
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| Included applications | |||
| Advanced AI ChatGPT-5, Gemini 3 Pro, Claude Opus 4.5, Llama 4, Grok 4, DeepSeek | |||
| Text generationGPT-5 mini | |||
| Image generationGPT-Image-1 | |||
| Image analysisGPT-5 / Vision | |||
| Image generationNano Banana 2, Flux, Recraft | |||
| Chat with PDFGPT-5 | |||
| Text generationLLaMA 3 | |||
| Text generationClaude Sonnet 4.5 | |||
| Audio transcriptionWhisper | |||
| Text to speechElevenlabs | |||
| Features | |||
| Next.js 16Typescript & /app router | |||
| Better Auth + DrizzleAuth, DB, vector embeddings | |||
| PaymentsLemonSqueezy & Stripe | |||
| Landing pages5 landing pages | |||
| UI Components15+ UI components | |||




Trusted by 445+ founders
Save 200+ hours of dev time · One-time payment · Lifetime updates
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