// Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.
| name | explain |
| description | Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale. |
Produce explanations for decisions, rules, and graph analytics. Usage: /semantica:explain <target> [args]
$ARGUMENTS = explanation target + optional detail level.
decision <decision_id> [--detail <level>]Explain why a decision was reached.
from semantica.reasoning.explanation_generator import ExplanationGenerator
# For decision explainability in Semantica contexts:
decision_trace = ctx.trace_decision_explainability(decision_id=decision_id)
# For reasoning/proof explanations:
generator = ExplanationGenerator(detail_level=detail)
explanation = generator.generate_explanation(reasoning_result)
Output: decision factors, rule traces, confidence, and suggested next steps.
graph <node_id> [--path N]Explain graph relationships and why a node is connected.
# Use AgentContext explainability + causal tracing for graph-connected decisions
graph_explanation = ctx.trace_decision_explainability(decision_id=node_id)
upstream = ctx.get_causal_chain(decision_id=node_id, direction="upstream", max_depth=depth)
downstream = ctx.get_causal_chain(decision_id=node_id, direction="downstream", max_depth=depth)
Return: cause/effect chains, supporting evidence, and relevant metadata.
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