LLM token limits
HoldTechniques
The maximum amount of text a large language model can process or generate in a request.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 4InfoQ·9/2/2026researchBeyond Prompting: Context Engineering for Production AI
Ricardo Ferreira outlines practical context-engineering patterns for building production-grade AI applications beyond basic prompt design. He focuses on managing long- and short-term memory, reducing token usage with summarization, limiting context drift with reranking and semantic caching, and keeping API costs and latency under control.