Feature
Turn running twin behavior, scenarios, and protocol checks into repeatable tests that fit Python, Docker, and CI/CD workflows.
Automation, Python & CI is the SPX capability for turning repeatable twin interactions into engineering workflows. Teams can drive runtime behavior from Python, promote scenarios into tests, and run validation in Docker or CI/CD environments.
Related features
Inspect live state, protocol behavior, logs, and debugging evidence while twin behavior is running.
Recreate real-world scenarios, edge cases, timing issues, and failure modes before those problems reach hardware-dependent stages.
Keep digital twin definitions structured, readable, reviewable, and version-controlled as normal engineering assets.
Related protocols
Simulate MQTT device behavior with realistic topic updates, retained messages, reconnect flows, and automation interactions.
Emulate Modbus TCP behavior with realistic registers, timing, scaling, reads, writes, and fault conditions.
Validate OPC UA integrations against realistic nodes, namespaces, subscriptions, and scenario-driven system behavior.
Related guides
Developer resources
Runnable examples, tests, profiles, and implementation patterns for SPX SDK and server workflows.
Local MCP guidance for agent-assisted model inspection, validation, runtime control, and repository work.
The YAML modeling language used to define attributes, actions, communication, scenarios, and hooks.
