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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.

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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

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Core Features

FeatureDescription
Modular Flask StructureWell-organized application structure following best practices
LiteLLM IntegrationUnified interface to access multiple LLM providers (OpenAI, Anthropic, etc.)
Search CapabilitiesBuilt-in OpenSearch integration for vector search
AWS IntegrationReady-to-use cloud deployment configurations
Langfuse ObservabilityComprehensive prompt management and AI observability
Docker DeploymentContainerized deployment for consistent environments
Environment ConfigFlexible configuration management for different environments
Command PatternClean separation of business logic from request handling

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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

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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