Everything about cost
12 connected nodes across dictionary, workflows, comparisons, prompts, tool stacks and use cases.
AI Router
A layer that picks the cheapest capable model for each request, saving cost and latency.
Agent Cost Control
Agent cost control is the practice of budgeting tokens, steps and model tiers per task so autonomous systems stay economically viable at scale.
Small Language Model (SLM)
A language model with roughly 1–15B parameters, small enough to run on a laptop, phone or single GPU while handling narrow tasks well.
Prompt Caching
Reusing the processed form of a repeated prompt prefix so later requests are cheaper and faster.
Semantic Cache
A cache that returns a stored LLM answer when a new question means the same thing as an earlier one, even if worded differently.
Knowledge Distillation
Training a small model to imitate the outputs of a large one, keeping most of the quality on a target task at a fraction of the cost.
Cut Agent Costs by 60% Without Losing Quality
A measurable cost-reduction pass for any agent already in production.
Cut LLM Inference Costs
A step-by-step method to reduce model spend without degrading output quality.
Route Requests Between Models
Send each request to the cheapest model that can handle it, escalating only when needed.