2Sigma Backend Documentation

Welcome to the 2Sigma Backend documentation! This is a FastAPI-based learning management system with AI-powered tutoring capabilities.

What is 2Sigma Backend?

2Sigma Backend is a comprehensive learning management system that provides:

• Multi-tenant architecture for universities, departments, and courses
• Hierarchical content structure with modules and learning materials
• AI-powered chat tutoring using Claude (Anthropic API or AWS Bedrock)
• Progress tracking at module and content levels
• Authentication & authorization with JWT tokens
• Langfuse-style versioned prompts for customizable AI behavior

Quick Links

• Getting Started

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  New to the project? Start here to set up your development environment.

  Getting Started Tutorial

• How-To Guides

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  Task-focused guides for common operations like migrations and testing.

  Browse How-To Guides

• API Reference

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  Complete API endpoint documentation, configuration, and schemas.

  View API Reference

• Architecture & Design

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  Understand the system architecture, patterns, and design decisions.

  Read Architecture Docs

Key Features

Multi-Tenant Learning Platform

Supports multiple universities with departments, courses, and course offerings. Each university operates independently with role-based access control.

AI-Powered Tutoring

Integrated LLM chat system with:

• Context-aware conversations tied to specific content items
• Streaming responses for real-time interaction
• Versioned, label-based prompts (Langfuse-style)
• Support for both Anthropic API and AWS Bedrock

Flexible Content Management

• Hierarchical module structure (units, chapters, lessons, topics)
• Polymorphic content items (videos, quizzes, labs, text, assignments)
• JSONB-based flexible content storage
• Reusable assets and templates

Comprehensive Progress Tracking

• Module-level and content-level progress
• Completion tracking with timestamps
• User activity streaks
• Enrollment management across course offerings

Technology Stack

• Framework: FastAPI 0.109 (async)
• Database: PostgreSQL with SQLAlchemy 2.0 (async)
• Authentication: JWT with bcrypt
• LLM Integration: LangChain with Anthropic/AWS Bedrock
• Migrations: Alembic
• Testing: pytest with async support

Documentation Organization

This documentation follows the Diátaxis framework:

• Tutorials - Learning-oriented step-by-step guides
• How-To Guides - Task-oriented practical instructions
• Reference - Information-oriented technical specifications
• Explanation - Understanding-oriented conceptual discussions

Contributing

Before contributing, please read:

1. Local Development Guide
2. Testing Guide
3. Architecture Overview

Support

For questions and issues:

• Check the How-To Guides for common tasks
• Review the API Reference for endpoint details
• Read the Architecture docs for design context

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Next Steps: Start with the Getting Started Tutorial to set up your development environment.