New-project System Requirements Document

Introduction

The New-project aims to develop a modern AI operations dashboard for a company managing multiple LLM-powered applications. This dashboard will provide comprehensive analytics and insights into API usage, token consumption, model performance, and more, all within a polished dark theme design.

System Overview

The New-project dashboard will serve as a centralized platform for monitoring and managing various aspects of LLM-powered applications. It will offer detailed analytics, model comparisons, and alerts to ensure efficient operations and cost management.

Functional Requirements as Story Points

• As a User, I should be able to view total API usage to monitor application performance.
• As a User, I should be able to track token consumption to manage resource allocation.
• As a User, I should be able to see estimated costs in INR to keep track of expenses.
• As a User, I should be able to evaluate model performance through detailed metrics.
• As a User, I should be able to view an error matrix to identify and address issues.
• As a User, I should be able to see the number of active users to gauge application engagement.
• As a User, I should be able to filter data by model and date range for targeted analysis.
• As a User, I should be able to view a recent activity feed to stay updated on application events.
• As a User, I should be able to access usage charts for visual insights into data trends.
• As a User, I should be able to compare models using a model comparison table for informed decision-making.
• As a User, I should be able to receive alerts for unusual spending or failed requests to take timely action.
• As a User, I should be able to navigate through a sidebar with sections for Overview, Models, Usage, Logs, Projects, Billing, and Settings for efficient access to different functionalities.

User Personas

• Admin: Responsible for overseeing the entire dashboard, managing settings, and ensuring smooth operations.
• Data Analyst: Focuses on analyzing data trends, model performance, and generating reports.
• Developer: Uses the dashboard to monitor API usage, troubleshoot errors, and optimize application performance.

Core User Flows

• Admin logs in -> navigates to Overview -> checks API usage and token consumption -> sets alerts for unusual spending.
• Data Analyst logs in -> filters data by model and date range -> views usage charts and model comparison table -> generates a performance report.
• Developer logs in -> accesses Logs section -> reviews error matrix -> identifies and resolves issues -> updates project settings.

Visuals Colors and Theme

• primary: #1E1E2F (dark slate)
• primary_light: #2E2E3F (slate gray)
• secondary: #FF6F61 (coral)
• accent: #FFD700 (gold)
• highlight: #FFA500 (orange)
• bg: #121212 (black)
• surface: rgba(30, 30, 47, 0.8)
• text: #FFFFFF (white)
• text_muted: #B0B0B0 (light gray)
• border: rgba(255, 255, 255, 0.2)

Signature Design Concept

The New-project dashboard will feature an interactive galaxy map as its landing page. Each star in the galaxy represents a different feature or section of the dashboard. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections between features. This dynamic and engaging interface will be built using @react-three/fiber and @react-three/drei, providing a unique and memorable user experience.

Landing Hero Motion Brief

The landing page will showcase a continuous 2D motion loop using motion/react. The animation will depict data inputs gathering around a central dashboard interface, which transforms to reveal key analytics and insights. This transformation will highlight the dashboard's ability to process and present complex data in a user-friendly manner. The animation will be responsive, ensuring a seamless experience across devices.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals, hover transitions, and spring physics on interactive elements, providing a polished and engaging experience.

Non-Functional Requirements

• The dashboard must be responsive and accessible across various devices and screen sizes.
• It should maintain high performance and quick load times, even with large data sets.
• Ensure data security and privacy, especially concerning sensitive user information.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The dashboard will primarily serve enterprise users, requiring a professional and polished design.
• The system should support integration with existing LLM-powered applications.
• Budget constraints may limit the use of certain premium technologies or services.

Glossary

• API: Application Programming Interface
• LLM: Large Language Model
• INR: Indian Rupee
• SaaS: Software as a Service

This document outlines the comprehensive requirements for the New-project, ensuring a robust and user-friendly AI operations dashboard.