context-fundamentals

Context engineering organizes and loads only necessary information for agents, reducing latency and token costs while preserving behavior. It uses structured components and progressive disclosure to balance speed and accuracy across multi-agent tasks.

Reduce token costs by applying progressive disclosure to load a minimal system prompt first, then loading details on demand. Content budgeting and validation utilities detect excessive length, empty sections, and duplication to minimize high-signal information waste.

Progressive disclosure works by loading a minimal system prompt initially, then retrieving tool definitions and documents on demand. This balances response speed and accuracy by organizing structured context components to load only when needed.

Debug context-related issues using validation and tracing utilities to detect empty sections, duplication, or excessive length. These scripts identify how context affects agent performance, allowing you to isolate and reorganize problematic structured components.

Yes, you can validate structured context components using built-in tracing utilities. These tools detect empty sections, duplication, and excessive length across system prompts, tool definitions, and retrieved documents to ensure robust agent performance.

Avoid progressive disclosure when all context is immediately required for single-turn tasks, as on-demand loading introduces latency. If token budgeting and validation indicate minimal information waste, loading details on demand provides no measurable performance benefit.