What is TextLayer Core?
TextLayer Core is a powerful template for building AI-powered applications and services within organizations. Designed as an AI enablement layer, it helps teams quickly integrate and leverage Large Language Models (LLMs) in their applications while maintaining a consistent architecture and deployment pattern.Problems It Solves
TextLayer Core addresses several key challenges in AI application development:- AI Integration Complexity: Simplifies the integration of LLMs into your applications
- Inconsistent Architecture: Provides a standardized structure for AI-powered services
- Observability Challenges: Built-in monitoring and tracing for AI components
- Provider Lock-in: Unified interface to multiple LLM providers
- Deployment Friction: Ready-to-use deployment configurations for various environments
Core Features
| Feature | Description |
|---|---|
| Modular Flask Structure | Well-organized application structure following best practices |
| LiteLLM Integration | Unified interface to access multiple LLM providers (OpenAI, Anthropic, etc.) |
| Search Capabilities | Built-in OpenSearch integration for vector search |
| AWS Integration | Ready-to-use cloud deployment configurations |
| Langfuse Observability | Comprehensive prompt management and AI observability |
| Docker Deployment | Containerized deployment for consistent environments |
| Environment Config | Flexible configuration management for different environments |
| Command Pattern | Clean separation of business logic from request handling |
Architecture Overview
TextLayer Core implements a clean, modular architecture for AI applications:- Request Handling: Controllers receive and process incoming API requests
- Command Processing: Business logic is organized in command handlers
- Service Integration: External services wrapped in service modules
- Response Handling: Structured API responses with error handling
Key Integrations
TextLayer Core comes with several key integrations:- Langfuse: Integrated throughout the application to provide prompt management and AI observability
- LiteLLM: Provides a unified interface for multiple LLM providers
- OpenSearch: Powers vector search capabilities