token budgeting

4 articles · 15 co-occurring · 0 contradictions · 0 briefs

Article explicitly discusses token budgeting as conscious allocation across system prompt, retrieved docs, conversation history, tool results, and headroom. This is a core CE pattern.

Related concepts

prompt engineering 4 context window management 4 retrieval augmented generation 2 multi agent orchestration 2 state management 1 self verification loops 1 rag context management 1 rag 1 memory persistence 1 memory architecture 1 memory and persistence 1 feedback loops 1 cost accuracy latency tradeoff 1 context window as constraint 1 context decay in agents 1

Evidence chain (4 articles, showing 4)

Context Engineering — the LLM skill that matters more than prompt engineering in 2026 example_of

Article explicitly discusses token budgeting as conscious allocation across system prompt, retrieved docs, conversation history, tool results, and headroom. This is a core CE pattern.

RAG Isn’t Enough — I Built the Missing Context Layer That Makes LLM Systems Work | Towards Data Science example_of

Central to the solution: explicit token budget management determines what enters context window

Patterns and Anti-Patterns for Building with LLMs | by hugo bowne-anderson | Marvelous MLOps | Medium example_of

Article explicitly prescribes 'template that fits within sensible token budget, not maximum.' This is token budgeting as a deliberate design constraint.

Best Practices for Claude Code extends

References tracking context usage with status lines and strategies to reduce token usage, indicating operational token budgeting practices for agentic workflows.

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