new feature: JEV Integration. Now there are a current (native) LLM decision model and a JEV decision model

tests/test_jev_choice_fix.py

@@ -0,0 +1,28 @@
+import pytest
+from agent_framework.decisions.adapters.typesafe import build_request, normalize_answers, TypeSafeContractError
+from agent_framework.decisions import client
+
+
+def test_choice_wire_uses_verified_noul():
+    questions = [client.choice('decision', ['CONTINUE','ROUTE','END_SESSION'])]
+    body = build_request('state', questions)
+    assert len(body['questions']) == 3
+    assert all(x['type'] == 'noul' for x in body['questions'].values())
+    answer = {'answers': {'__jev_q0_o0': {'noul': .12}, '__jev_q0_o1': {'noul': .94}, '__jev_q0_o2': {'noul': .07}}}
+    assert normalize_answers(answer, questions) == [{'name': 'decision', 'type': 'choice', 'choice': 'ROUTE', 'confidence': .94}]
+
+
+def test_ambiguous_choice_fails_closed():
+    questions = [client.choice('decision', ['CONTINUE','ROUTE'])]
+    with pytest.raises(TypeSafeContractError, match='AMBIGUOUS_DIRECT_CHOICE'):
+        normalize_answers({'answers': {'__jev_q0_o0': {'noul': .81}, '__jev_q0_o1': {'noul': .78}}}, questions)
+
+
+def test_predicate_wire():
+    questions = [client.predicate('allowed')]
+    assert normalize_answers({'answers': {'__jev_q0': {'noul': .9}}}, questions)[0]['probability'] == .9
+
+
+def test_score_fails_closed():
+    with pytest.raises(TypeSafeContractError, match='UNSUPPORTED_DIRECT_SCORE'):
+        build_request('state', [client.score('score')])