Guides

Comprehensive guides for SPADE_LLM features and concepts.

Core Concepts

• Architecture - System components and design
• Providers - LLM provider configuration and usage
• Tools System - Function calling and tool integration
• Context Management - Advanced context control and message management
• Memory System - Dual memory architecture for agent learning and conversation continuity
• Memory Architecture - Detailed memory system architecture and diagrams
• Conversations - Conversation lifecycle and management
• MCP - Model context protocol integration
• Human-in-the-Loop - Human expert consultation and workflows
• Guardrails - Content filtering and safety controls
• Routing - Message routing and multi-agent workflows

Usage Patterns

Each guide covers: - Core concepts and configuration - Common usage patterns
- Best practices and troubleshooting - Complete code examples

Next Steps

• API Reference - Detailed API documentation
• Examples - Working code examples