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#llm-engineering

Posts tagged with llm-engineering

2 posts

Data center servers running large language model workloads, where LLM prompt caching cuts the cost of repeated input tokens.

Guides • Sep 16, 2026 •10 min read

LLM Prompt Caching Can Cut Input Costs Up to 90%

LLM prompt caching can cut agent loop input costs up to 90%. Compare OpenAI, Anthropic, Gemini, and Bedrock on TTLs, breakpoints, and real savings math.

#prompt-caching #llm-costs +3

Controlling reasoning effort in LLM APIs means setting explicit parameters that cap how many tokens a model spends on internal chain-of-thought before producing visible output.

Guides • Jul 28, 2026 •13 min read

Control Reasoning Effort LLM APIs in Production

Control reasoning effort LLM APIs across OpenAI, DeepSeek, and Anthropic. Practical routing rules to cut cost and latency without losing accuracy.

#llm-engineering #api-optimization +3