Token Management
Domain: Agent Fundamentals
🎯 Motivation
Agents consume tokens with every LLM call. Managing tokens - using smaller context, compressing history, choosing efficient models - controls cost.
📋 Concrete Example
Management: summarize old conversation (reduces context tokens), use a cheaper model for simple steps (reduces cost per token), limit tool output length (reduces input tokens).
🔗 Analogy
Managing water usage - turn off the tap while brushing teeth, use a low-flow showerhead, fix leaks. Same cleanliness, less water. Token management achieves the same result with fewer tokens.