A modular InfinitePay chatbot prototype, tailored for the InfinitePay platform (see ajuda.infinitepay.io), featuring specialized agents, platform-specific logic, basic security, and initial observability.

See Infrastructure Guide - Docker for complete setup commands.

See Kubernetes Deploy Guide for full deployment steps, including Redis, Backend, Frontend, and URLs for challenge.md.

See Backend Setup - System Architecture for complete architecture diagram and component details.

Local (Development): http://localhost:3000

Production/Kubernetes:

• Via Port-forward: http://localhost:8080
• ⚠️ Via Ingress: http://chatbot.local (complex setup, not recommended)

Cloud Deploy: See Cloud Deploy Guide for public URLs

Configure the frontend .env file according to the environment:

# Local
VITE_BACKEND_URL=http://localhost:3000

# Production/Kubernetes
# VITE_BACKEND_URL=/api

See Frontend README for detailed instructions.

See Backend Setup for complete request/response/log examples.

• Input sanitization: HTML/JS removal via SanitizePipe
• Prompt injection: Pattern blocking via PromptGuardService
• Details: Security Guide

See Backend Setup for test commands and coverage details.

git clone https://github.com/ElderSam/chatbot.git
cd chatbot

Choose your setup:

• 🐳 Docker (recommended): See Infrastructure Guide
• 💻 Local Development: See Backend Setup

• ☸️ Kubernetes: See Infrastructure Guide
• ☁️ Cloud Deploy (Bonus Challenge): See Cloud Deploy Guide

💡 Works without API keys for testing. For full functionality, see Backend Setup.

• RouterAgent → KnowledgeAgent + MathAgent → Specialized responses
• Security: Input sanitization, prompt injection prevention
• Observability: Structured logs in Redis
• Docker: Containerized with health checks
• Kubernetes: Production-ready YAML manifests

• Backend Setup - API keys, local dev, testing, architecture
• Infrastructure Guide - Docker & Kubernetes deployment
• Documentation Hub - Complete documentation index

• Backend: NestJS (TypeScript)
• LLM: Groq (Llama 3.1) + HuggingFace (Embeddings)
• Database: Redis
• Container: Docker + Kubernetes
• Testing: Jest (76 tests passing)

Status: ✅ Production Ready | 🧪 Main features Tested | 🚀 Cloud Native