Create Agents FastAPI and RapidAPI Deployment

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