feat(domain): añade modelos GuardrailViolation, PolicyDefinition y AgentExecution

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

tests/unit/test_domain_execution.py

@@ -0,0 +1,65 @@
+"""Tests de modelos de ejecución."""
+
+from datetime import UTC, datetime
+from uuid import uuid4
+
+from agentforge_core.domain.execution import (
+    AgentExecution,
+    AgentExecutionSummary,
+    DecisionStep,
+    ProposedAction,
+)
+
+
+def test_proposed_action_risk_score_in_rango() -> None:
+    a = ProposedAction(
+        id="act-1",
+        action="rollback_image",
+        target="cscf-01",
+        risk_score=4,
+        rollback_plan="redeploy 4.7.1",
+        requires_approval=True,
+    )
+    assert a.risk_score == 4
+
+
+def test_decision_step_serializable() -> None:
+    s = DecisionStep(
+        step="llm_reason",
+        timestamp=datetime.now(UTC),
+        duration_ms=120,
+        detail={"tokens_in": 100},
+    )
+    assert s.model_dump()["detail"]["tokens_in"] == 100
+
+
+def test_agent_execution_status_running() -> None:
+    e = AgentExecution(
+        trace_id=uuid4(),
+        agent_name="incident_analyzer",
+        agent_version="v1",
+        status="running",
+        started_at=datetime.now(UTC),
+        finished_at=None,
+        decision_path=[],
+        violations=[],
+        proposed_actions=[],
+        needs_human_for=None,
+        final_output=None,
+        error=None,
+    )
+    assert e.status == "running"
+
+
+def test_agent_execution_summary_no_incluye_decision_path() -> None:
+    s = AgentExecutionSummary(
+        trace_id=uuid4(),
+        agent_name="x",
+        agent_version="v1",
+        status="completed",
+        started_at=datetime.now(UTC),
+        finished_at=datetime.now(UTC),
+        n_violations=0,
+        n_proposed_actions=2,
+    )
+    assert "decision_path" not in s.model_dump()