Prompt caching breaks even at 1.3 requests. Here's the math.
Prompt caching cuts LLM costs 90% on Anthropic and 50% on OpenAI, but only when your workload fits. Here's the exact break-even math per provider.
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Prompt caching cuts LLM costs 90% on Anthropic and 50% on OpenAI, but only when your workload fits. Here's the exact break-even math per provider.
RAG has 3 moving parts: ingestion, retrieval, and generation. Here's what each does, when RAG beats fine-tuning, and when to skip it entirely.
Your OpenAI bill isn't just input + output tokens. Thinking tokens, JSON retries, and prompt bloat quietly triple costs. Here's how to spot each one in your own app.
The context window is your LLM's working memory per call. What 128k tokens actually fits, why usable size is smaller than advertised, and how to check yours.