System Requirements Document (SRD)

Project Name: cedar-chatgpt

1. Introduction

The cedar-chatgpt project is a user-focused application designed to provide seamless interaction with AI-powered conversational tools. This document outlines the system requirements for the project, ensuring clarity and alignment with the intended functionality and user experience. The target audience for cedar-chatgpt is regular users in the United States, emphasizing accessibility, simplicity, and personalization.

2. System Overview

The cedar-chatgpt application will serve as a conversational AI platform powered by advanced GPT models. It aims to deliver intuitive and engaging interactions for regular users, allowing them to chat with AI, save conversations, and customize their experience. The system will prioritize ease of use, responsiveness, and reliability, leveraging cutting-edge AI technologies and modern design principles.

Key features include:

• AI-driven conversational capabilities.
• Personalization options such as themes and saved conversations.
• Pre-resolved user entities managed by the API supervisor for enhanced user experience.

3. Functional Requirements

• As a Regular User, I should be able to initiate conversations with the AI.
• As a Regular User, I should be able to save conversations for future reference.
• As a Regular User, I should be able to customize the app's theme to suit my preferences.
• As a Regular User, I should be able to access pre-resolved user entities managed by the API supervisor for smoother interactions.
• As a Regular User, I should be able to use voice-chat functionality to interact with the AI.

4. User Personas

Regular User

• Description: Individuals seeking intuitive and engaging AI-powered conversational experiences.
• Goals:
  • To interact with AI seamlessly.
  • To personalize their experience through themes and saved conversations.
  • To enjoy a reliable and responsive application.
• Pain Points:
  • Complicated interfaces.
  • Lack of personalization options.
  • Slow or unresponsive systems.

5. Visuals Colors and Theme

Unique Color Palette for cedar-chatgpt:

The color palette for cedar-chatgpt is designed to evoke a sense of warmth, creativity, and modernity while ensuring readability and accessibility.

• Background: #F5F9FF (Soft Sky Blue)
• Surface: #FFFFFF (Pure White)
• Text: #2C3E50 (Deep Slate Blue)
• Accent: #FF6F61 (Vibrant Coral)
• Muted Tones: #BDC3C7 (Soft Gray)

6. Signature Design Concept

Concept: Interactive Floating Chat Bubbles

The homepage of cedar-chatgpt will feature a dynamic floating chat bubble interface. Upon landing, users will see a visually stunning display of chat bubbles gently floating across the screen, each representing a conversation topic or feature.

• Animations:

  • Chat bubbles will subtly pulse and drift, creating a calming yet engaging effect.
  • Hovering over a bubble will expand it slightly and display a preview of its content.

• Interactions:

  • Clicking a bubble will open a conversation or feature in a sleek modal window.
  • Users can drag and rearrange bubbles to personalize their interface.

• Transitions:

  • Smooth fade-ins and slide-outs will enhance navigation between sections.

• Color Shifts:

  • The background will subtly transition between soft gradients of blue and coral, reflecting the app's theme.

This design concept ensures that the homepage is not only visually captivating but also functional, offering users an unforgettable first impression.

7. Non-Functional Requirements

• The system must ensure high availability with 99.9% uptime.
• The application must load within 2 seconds on standard devices.
• The system must comply with accessibility standards (WCAG 2.1 AA).
• Data must be encrypted both in transit and at rest.
• The system must scale to support up to 1 million concurrent users.

8. Tech Stack

Frontend

• React for Web

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.2 for user-friendly responses
• Claude 4.5 Opas for academic or coding work
• Gemini 3 Pro for friendly responses

AI Tools

• Litellm for LLM Routing
• Langchain

Local Orchestration

• Docker
• docker-compose

Server-Side Orchestration

• Kubernetes

9. Assumptions and Constraints

Assumptions

• Regular users will primarily access the application via web browsers and mobile devices.
• The API supervisor will handle pre-resolved user entities to streamline interactions.
• The application will be deployed in the US and optimized for local preferences (e.g., timezone: EST, currency: USD).

Constraints

• The system must adhere to US data privacy regulations (e.g., CCPA).
• The application must support English as the primary language.
• The design must accommodate scalability without compromising performance.

10. Glossary

• Regular User: The primary target audience for cedar-chatgpt, consisting of individuals seeking conversational AI experiences.
• API Supervisor: A backend component responsible for managing pre-resolved user entities to enhance interaction quality.
• Pre-Resolved Entities: User-specific data processed in advance to streamline interactions with the AI.
• LLM Routing: The process of directing user queries to the most appropriate large language model for response generation.

This document provides a comprehensive overview of the updated system requirements for cedar-chatgpt, ensuring alignment with the user's request and project goals.