Architecture

This document outlines the architecture of the AI Nutrition-Pro application.

Containers Context diagram

C4Container
    title Container diagram for AI Nutrition-Pro

    Container_Boundary(c0, "AI Nutrition-Pro") {
        Container(api_gateway, "API Gateway", "Kong", "Authentication of clients, filtering of input, rate limiting")
        Container(app_control_plane, "Web Control Plane", "Golang, AWS Elastic Container Service", "Provides control plane to onboard and manage clients, configuration and check billing data")
        ContainerDb(control_plan_db, "Control Plane Database", "Amazon RDS", "Stores all data related to control plan, tenants, billing")
        Container(backend_api, "API Application", "Golang, AWS Elastic Container Service", "Provides AI Nutrition-Pro functionality via API")
        ContainerDb(api_db, "API database", "Amazon RDS", "Stores dietitian' content samples, request and responses to LLM.")
        Person(admin, "Administrator", "Administrator of AI Nutrition-Pro application")
    }

    System_Ext(mealApp, "Meal Planner", "Application to create diets by dietitians")

    System_Ext(chatgpt, "ChatGPT-3.5", "LLM")

    Rel(mealApp, api_gateway, "Uses for AI content generation", "HTTPS/REST")
    Rel(api_gateway, backend_api, "Uses for AI content generation", "HTTPS/REST")
    Rel(admin, app_control_plane, "Configure system properties")
    Rel(backend_api, chatgpt, "Utilizes ChatGPT for LLM-featured content creation", "HTTPS/REST")

    Rel(app_control_plane, control_plan_db, "read/write data", "TLS")
    Rel(backend_api, api_db, "read/write data", "TLS")

External systems and persons

Name	Type	Description	Responsibilities
Meal Planner application	External system, web application	One of many Meal Planner applications that can be integrated with AI Nutrition-Pro. It connects to AI Nutrition-Pro using REST and HTTPS.	- uploads samples of dietitians' content to AI Nutrition-Pro - fetches AI generated results, e.g. diet introduction, from AI Nutrition-Pro
ChatGPT-3.5	External system, API	It's OpenAI product, an LLM solution	It will be used to generate content based on provided samples.

AI Nutrition-Pro container context systems and persons

Name	Type	Description	Responsibilities
Web Control Plane	Internal system, Web application	It's written using Golang and deployed as Docker container into AWS Elastic Container Service. It uses Control Plane Database to store data. It's used in 3 roles: Administrator, App Onboarding Manager, and Meal Planner application manager.	Provide control plane to onboard and manage clients, configuration and check billing data
Control Plane Database	Internal database, Amazon RDS instance	Database	storing data for Web Control Plane
API Gateway	Internal system, API Gateway	Kong API Gateway	- authentication - rate limiting - filtering of input
API Application	Internal system, API application	It's written using Golang and deployed as Docker container into AWS Elastic Container Service	Provides AI Nutrition-Pro functionality via API.
API database	Internal database, Amazon RDS instance	Stored data: samples of dietitians' content, requests, and responses to LLM.	Storing data for API Application
Administrator	Internal Person	Administrator of AI Nutrition-Pro application.	- manage server configuration - resolve problems

Security

1. Authentication with Meal Planner applications - each has individual API key.
2. Authorization of Meal Planner applications - API Gateway has ACL rules that allow or deny certain actions.
3. Encrypted network traffic - network traffic between Meal Planner applications and API Gateway is encrypted using TLS.