From a GitHub repo we have 74 LLM agents. All the source code is already available. Your task — 1. is to create production ready FastAPI products. 2 package each agent as individual API with clear input, output, limits and Pricing tiers 3. Setup infrastructure 4. publish every service as an independent API on RapidAPI. My Task — 1. Write clear RAPID API description 2 organizing agent into sellable categories. That’s it all the work the script ,he requirement is already available. Category ( total 74 agent) — ( breakdown ) Starter AI AGENT - 12 SINGLE AGENT APP - 9 MULTI AGENT APP - 5 GAME AGENT - 3 MULTI AGENT TEAMS - 11 VOICE AI AGENTS - 3 MCP AI AGENTS - 4 RAG IMPLEMENTATIONS - 15 MEMORY BASED APPS - 6 CHAT WITH X - 6 1 Review all existing agents, verify which ones run correctly, and finalize the list of agents to expose as APIs. 2. Code Cleanup & Standardization Remove hardcoded credentials, standardize folder structure, configuration, and logging across all agents. 3 API Wrapping with FastAPI Expose each selected agent as a REST endpoint 4. Authentication, Limits & Cost Controls Implement RapidAPI-compatible API key validation, request limits per plan, and token-based 5. Containerization & Cloud Deployment Dockerize the application and deploy it on Railway or Render with proper environment variable 6 RapidAPI Publishing & Documentation Create OpenAPI/Swagger docs, configure pricing plans, ( docs I will do