ldraw-nova: AI agents build LEGO models by writing Python geometry
In ldraw-nova, models write a plan and a Python generator instead of raw coordinates, but nothing checks physics or stability.
Opus 5.5 cut cache reads 60% and GPT-6 gives 90% off cached input, so agent costs now hinge on a stable prompt prefix.

Two frontier model launches landed within a day of each other. The headline is cheaper tokens. The real story is cached tokens.
Anthropic shipped Claude Opus 5.5. Input and output got 20% cheaper, but cache reads dropped 60%. Anthropic says cache reads make up most of the cost of agentic and coding work.
OpenAI shipped GPT-6 Sol and Luna at half the previous API price. It also gives 90% off cached input reads, and changing reasoning effort or tools no longer breaks the cache.
So an agent's bill now depends less on which model you pick and more on how stable your prompt prefix is.
What to check this week:
Cheap tokens help. Reused tokens help more.