Architecture Deep Dive
Understand the core architecture and components of Julep
Overview
Julep is a powerful backend system for managing agent execution. It provides several key components that work together to create flexible and intelligent applications.
Julep Architecture Overview
Core Components
Agent
The main orchestrator of your application, backed by foundation models like GPT4 or Claude.
User
Users can be associated with sessions and are used to scope memories formed by agents.
Session
The main workhorse for Julep apps.
Tool
Programmatic interfaces that foundation models can “call” with inputs.
Doc
Collections of text snippets indexed into a vector database.
Task & Execution
Github Actions-style workflows for complex operations.
Infrastructure Components
Document Store
The document store provides a vector database for semantic search along with a document management system. It supports various file types and handles automatic indexing and retrieval of documents.
Task Execution Engine
The task execution engine handles distributed task processing, state management, error handling with retries, and supports parallel execution of tasks.
API Layer
The API layer provides RESTful API endpoints, SDK support, authentication and authorization capabilities, and handles rate limiting and quotas.
Data Flow
Data Flow Overview
The data flow in Julep is divided into three main components, each handling specific aspects of request processing and response generation.
Client Interaction
- SDK or API calls initiate requests
- Authentication and validation
- Request routing
Task Processing
- Task decomposition
- Step execution
- State management
- Tool integration
Response Handling
- Result aggregation
- Error handling
- Client notification
- State persistence
Security Architecture
This architecture is designed to be scalable, secure, and flexible, allowing for easy integration with existing systems while maintaining robust security and performance characteristics.