What's Changed

• Enhance documentation and examples for intelligent routing and memory management by @veithly in #147

Full Changelog: v0.2.0...v0.2.1

Release Notes - SpoonAI v0.2.0

🚀 Major Updates

1. Enhanced ReAct Agent with Tool-Independent Execution

Description: Completely refactored the ReAct Agent to enable tool-independent reasoning termination, providing greater flexibility in agent workflows.

Key Improvements:

• Added think() method that can return False to terminate ReAct loop without requiring tool calls
• Agent state automatically transitions to FINISHED when reasoning is complete
• Improved decision-making logic in step() method for better workflow control
• Enhanced error handling and state management

2. Refactored LLM Provider Architecture with Enhanced Extensibility

Description: Complete overhaul of the LLM provider system with advanced state management, failover mechanisms, and improved extensibility.

Key Features:

• Provider State Management: Advanced initialization tracking with exponential backoff retry logic
• Fallback Strategy: Intelligent provider switching with configurable fallback chains
• Load Balancing: Support for round-robin, weighted, and random load balancing strategies
• Health Monitoring: Real-time provider health checks and automatic failover
• Enhanced Monitoring: Comprehensive metrics collection and debugging capabilities

Technical Implementation:

• Provider states with initialization attempts tracking
• Configurable retry logic with backoff strategies
• Support for 7+ LLM providers (OpenAI, Anthropic, DeepSeek, Gemini, etc.)
• Response normalization and unified interface

3. CLI Configuration-Driven Agent Loading

Description: Enhanced CLI with comprehensive agent configuration loading from unified config files.

Key Features:

• Unified Configuration: Single source of truth for all agent configurations
• Dynamic Agent Loading: Load agents by name with automatic tool configuration
• Configuration Validation: Built-in validation and error reporting
• Tool Auto-Loading: Automatic tool discovery and loading based on config
• Migration Support: Legacy config migration to new unified format

4. New Graph Engine with Advanced Workflow Capabilities

Description: Complete graph-based workflow engine with parallel execution, state management, and advanced routing capabilities.

Core Features:

• StateGraph Engine: Full-featured state graph implementation with compilation
• Parallel Execution: Support for concurrent node execution with configurable join strategies
• Advanced Routing: Conditional routing, parallel branches, and interrupt handling
• State Management: Built-in checkpointer with state snapshots and recovery
• Graph Agent: High-level agent abstraction built on top of StateGraph
• Monitoring & Debugging: Comprehensive execution tracking and error recovery

Technical Architecture:

• StateGraph: Core graph execution engine with node/edge management
• CompiledGraph: Optimized execution with parallel processing
• GraphAgent: Agent wrapper with state preservation and error recovery
• Reducers: State update functions (merge_dicts, append_history, etc.)
• Decorators: Node and router decorators for easy graph construction

🔧 Technical Enhancements

Architecture Improvements

• Modular Design: Better separation of concerns across all components
• Async/Await: Comprehensive async support throughout the codebase
• Type Safety: Enhanced type hints and validation
• Error Handling: Robust error recovery and logging mechanisms

Configuration Management

• Unified Config System: Single configuration file for all components
• Environment Integration: Seamless environment variable support
• Validation: Built-in configuration validation and migration tools
• Tool Discovery: Automatic tool loading and configuration

Performance Optimizations

• Lazy Loading: Provider initialization on first use
• Connection Pooling: Efficient resource management
• Caching: LLM response caching for improved performance
• Parallel Processing: Concurrent execution where applicable

📚 Documentation & Examples

• Updated documentation with new features
• Comprehensive examples for Graph functionality
• CLI usage guides and configuration examples
• Migration guides for existing installations

🔒 Security & Reliability

• Enhanced error handling and recovery mechanisms
• Provider health monitoring and automatic failover
• Secure configuration management with environment variable support
• Comprehensive logging and debugging capabilities

🎯 Impact & Benefits

This release significantly improves SpoonAI's capabilities by:

1. Enhanced Agent Flexibility: ReAct agents can now terminate reasoning without tool dependencies
2. Production-Ready LLM Integration: Robust provider management with automatic failover
3. Streamlined Configuration: Unified config system for easier deployment and management
4. Advanced Workflow Orchestration: Graph engine enables complex multi-step workflows with parallel execution

These improvements make SpoonAI more reliable, flexible, and suitable for production deployments while maintaining ease of use for developers.