Core Concepts
Comprehensive guide to Reactive Agents's core concepts and features
Overview
Reactive Agents provides a comprehensive set of core concepts and features that work together to optimize your AI agent performance. Choose from our overview guide or dive into specific concepts to understand how Reactive Agents can improve your AI systems.
How Core Concepts Work Together
Reactive Agents's workflow is straightforward: create Agents for specific domains, add Skills for individual tasks, and let the system handle the rest. The Configuration system automatically tests different approaches to find what works best. Every interaction is captured in Logs, which feed into Evaluations that measure quality and success. Performance monitoring ensures everything runs efficiently. Together, these components create a self-improving system that gets better with use.
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Individual Concepts
Agents
Specialized AI assistants designed for specific domains with optimized performance and capabilities
Skills
Individual capabilities that agents can perform, automatically optimized for best performance
Partitions
Automatic configuration optimization system using multi-armed bandit algorithms to find best settings
Evaluations
Built-in evaluation methods with realtime monitoring and quality assessment
Logs
Automatic records of every AI request and response with comprehensive tracking and analytics
Performance
Understanding performance impact of configuration parameters with optimization strategies