Seonglae Choinverse of state machine
we assume the static agent graph but dynamic agent graph per run may like model based agent which is for example claude code
- model - state graph
- what we have to do - build the state graph means inverse operator for
the fundamental assumption is data is flexible and status is static
AI agents are flexible on data dynamics while firm on the conversation or workflow structurec
only llm set semantics not structure
memory is a trace specific information that could help a global view of graph generation which might not used for reusable graph
- trace chaining
both
50-65
50-65
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