Documentation
Comprehensive guide to the AIALBM Platform. Learn how to configure agents, manage memories, and utilize advanced features for maximum productivity.
Getting Started
Core Features
Developer Tools
System Interaction
Message System
The core interaction model relies on a real-time streaming message system.Ctrl+Enter to send messages instantly.
- Input Verification & Context Loading
- AI API Invocation (Streaming)
- Conversation History Persistence
- Real-time UI Updates
Interface Features
Monitoring & Training
Monitor training progress and load checkpoints directly from the UI.
onclick="app.loadCheckpoint()"
Memory Visualization
Explore the agent's mind through Evolution, Knowledge Graph, and Retrieval tabs.
onclick="app.showMemoryTab('knowledge')"
Agent Management
Save configurations, deploy to production, and reset agents with one click.
onclick="app.saveAgentConfig()"
Graph Analysis
Expand, filter, and analyze the underlying knowledge graph structure.
onclick="app.analyzeGraph()"
Developer Tools
API Endpoint Page
A dedicated interface for testing specific endpoints. Includes built-in buttons for common actions:
Debug Panel
- • Verify API: Check all endpoint health/availability.
- • Test Endpoints: Run automated test sequences.
- • Clear Log: Reset the debug console output.
WebSocket Features
- • Streaming: Token-by-token real-time responses.
- • Indicators: Typing status awareness.
- • System Events: Broadcast notifications.
Keyboard Shortcuts
Pro Tips
Multi-Agent Strategy
Switch agents based on task type. Use coding agents for development and creative agents for content generation.
Memory Optimization
Regularly trigger memory consolidation to keep the knowledge graph clean and retrieval efficient.
Security
Always manage API keys via environment variables and utilize the RBAC system for team access.