Topic
Cost
3 guides on Cost.
Caching LLM Responses in .NET
LLM calls are slow and cost money. Add caching to your .NET AI app — response caching and prompt caching — to cut latency and spend without losing quality.
How to Count Tokens in C#
Tokens drive LLM cost and context limits. How to count tokens in C# with a tokenizer, estimate cost before a call, and keep prompts under the model's limit.
Cost Control for Production AI Agents in .NET
AI agent bills scale with usage and can surprise you. Practical techniques for controlling token spend in .NET agents: right-sizing, caching, context trimming, and budgets.