feat: agent performance optimization guide - #304
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Adds comprehensive performance optimization resources for agents: - Performance Hub (/performance) - Landing page with 5 optimization areas - Token Optimization (/performance/tokens) - Prompt compression, response control, model selection, batching strategies with before/after examples - Caching Strategies (/performance/caching) - Tool result caching, conversation summarization, semantic caching with Python/TypeScript implementations - Scaling Patterns (/performance/scaling) - Horizontal scaling, queue processing, rate limiting, graceful degradation with code examples - Includes impact ratings, implementation times, and potential savings metrics All pages include practical code examples, best practices, and navigation between guides.
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Adds comprehensive performance optimization resources for AI agents.
What's Added
Performance Hub ()
Landing page covering 5 key performance areas:
Each with impact ratings, implementation time estimates, and potential savings metrics.
Token Optimization Guide ()
Deep dive into reducing costs by 40-70%:
Caching Strategies ()
Reduce costs by 60-90% and speed up 5-10x:
Scaling Patterns ()
Production-ready architecture patterns:
Technical Details
Impact
Provides agents with practical, implementable strategies to: