context-fundamentals

Context management for reliable agent behavior involves structuring system prompts, tool definitions, and message history. Apply progressive disclosure and token budgeting to maintain a lean context, preventing failures during long-running tasks.

Progressive disclosure in context engineering is loading lightweight summaries first and fetching detailed documents on demand. This technique conserves token budgets and maintains lean context for language models during agent execution.

Debugging context-related failures in agent systems requires decomposing the context into system prompts, tools, and retrieved documents. Use validation checks to identify context leakage and ensure the token budget is maintained across multi-step tasks.

Structuring system prompts and tool definitions for agent architectures requires distinguishing between core context components. Decompose these elements to optimize loading execution and apply validation to guard against context leakage.

Optimizing token budget usage for retrieved documents involves applying progressive disclosure. Load lightweight summaries initially, fetch full details only when task demands activate, and use validation checks to enforce token limits.

Use context decomposition for agent systems when designing robust architectures or optimizing long-running tasks. It distinguishes system prompts, tool definitions, and message history to prevent context leakage and maintain reliable reasoning.