Controlling LLM API Cost: A Practical FinOps Guide
A practical engineering guide for LLM API cost control, token accounting, model selection, prompt size, retries, caching, and bounded agent limits.
Research notes
Technical research notes, systems anatomy, FinOps economics, and bounded agent harnesses from GlyIQ Infrastructure.
Controlling LLM API Cost: A Practical FinOps Guide
A practical engineering guide for LLM API cost control, token accounting, model selection, prompt size, retries, caching, and bounded agent limits.
Caching for LLM Applications: Response Reuse and Prompt Prefixes
Three distinct caching mechanisms for LLMs: exact-response caches, semantic cache risks, provider prompt prefix reuse, and cost models.
Retrieval-Augmented Generation and Long-Context Input
A decision guide for choosing what evidence to send to a model: retrieval pipelines, context budgets, latency, and cost modeling.
