System Requirements Document (SRD)

1. Introduction

This document outlines the system requirements for a chatbot application designed to assist users in learning DevOps concepts, tools, and practices. The chatbot will provide interactive learning experiences, answer queries, and guide users through DevOps-related topics.

2. System Overview

The system is a chatbot application that leverages AI to provide personalized assistance and learning resources for DevOps. It will be accessible via web and mobile platforms, offering users a seamless experience to enhance their knowledge and skills in DevOps. The chatbot will be capable of answering questions, providing tutorials, and recommending resources based on user needs.

3. Functional Requirements as Story Points

• As User I should be able to ask the chatbot DevOps-related questions and receive accurate answers.
• As User I should be able to request tutorials or step-by-step guides on DevOps tools and practices.
• As User I should be able to receive recommendations for DevOps learning resources (e.g., articles, videos, courses).
• As User I should be able to interact with the chatbot in natural language for a user-friendly experience.
• As User I should be able to track my learning progress through the chatbot.
• As Admin I should be able to update the chatbot's knowledge base with new DevOps-related content.
• As Admin I should be able to monitor chatbot interactions and user feedback for continuous improvement.

4. User Personas

• User: Individuals seeking to learn DevOps concepts, tools, and practices. They may range from beginners to experienced professionals looking to enhance their skills.
• Admin: Responsible for maintaining and updating the chatbot's knowledge base, monitoring user interactions, and ensuring the system operates effectively.

5. Visuals Colors and Theme

The chatbot application will use a modern and professional color scheme to align with the tech and learning focus:

• Primary Color: Navy Blue (#001F54) – Represents professionalism and trust.
• Secondary Color: Light Blue (#00AEEF) – Symbolizes learning and innovation.
• Accent Color: Green (#00C853) – Reflects growth and progress.
• Background Color: White (#FFFFFF) – Ensures clarity and readability.
• Font Style: Sans-serif fonts such as Open Sans or Roboto for a clean and modern look.

6. Non-Functional Requirements

• The chatbot must respond to user queries within 2 seconds to ensure a smooth user experience.
• The system must be scalable to handle up to 10,000 concurrent users.
• The chatbot must maintain a 99.9% uptime.
• The application must comply with data privacy regulations such as GDPR.
• The system must support multi-language interactions to cater to a global audience.

7. Tech Stack

• Frontend: React for Web, React Native for mobile app.
• Backend: Python, FastAPI.
• Database RDBMS: MySQL or MariaDB, using Alembic for migrations.
• AI Models: GPT 5.2 for user-friendly responses, Claude 4.5 Opas for academic or coding work.
• AI Tools: Litellm for LLM Routing, Langchain for conversational workflows.
• Local Orchestration: Docker, docker-compose.
• Server-side Orchestration: Kubernetes.

8. Assumptions and Constraints

• The chatbot will primarily focus on DevOps-related topics and may not provide accurate responses for unrelated queries.
• Users are expected to have basic familiarity with technology and DevOps concepts.
• The system will require internet connectivity to function.
• The chatbot's knowledge base will need regular updates to stay relevant with evolving DevOps practices.

9. Glossary

• DevOps: A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software.
• Chatbot: A software application used to conduct online chat conversations via text or text-to-speech.
• AI Models: Artificial intelligence systems trained to perform specific tasks, such as generating responses or analyzing data.
• LLM Routing: Large Language Model Routing, a method to direct queries to the most appropriate AI model.
• Docker: A platform for developing, shipping, and running applications in containers.
• Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

This document has been updated to include the functional requirement for a chatbot dedicated to assisting with DevOps learning.