The thesis
A model API does not give an application a complete operating model. Policy enforcement, failure handling, evaluation, tracing, and cost control still need a place in the architecture. I built ElectriPy around those recurring responsibilities so they can be composed into an application instead of reconstructed around every integration. The public Python runtime includes components for policy checks, circuit breakers, telemetry, evaluation, and cost accounting. The point is not a longer feature list. It is a consistent place to observe a decision, constrain what may happen next, and explain a failure.
Why it matters
The open-source repository and installable package exist today, with examples and tests that make the implementation available for inspection. The repository identifies the software as alpha and under active development; API stability and fitness for a particular production use still require evaluation. ElectriPy provides implementation evidence for the broader philosophy: governance and reliability need runtime mechanisms, not only written intentions. Its runtime architecture complements the LSAS specification, while a hosted cloud offering remains planned.