Why v2 of my trading system strips the LLM of its execution rights (Blueprint & Architecture)

Thanks to the incredible feedback on my last post, I’m officially moving away from the "distributed veto" system (where 8 LLM agents argue until they agree to trade). For v2, I am implementing a strict State Machine using a deterministic runtime (llm-nano-vm). ​The new rule is simple: Python owns the math and the execution contract. The LLM only interprets the context. ​I've sketched out a 5-module architecture, but before I start coding the new Python feature extractors, I want to sanity-check the exact roles I’m giving to the AI. Here is the blueprint: ​1.