Use DeepAgents model resolver in reviewer graph

tests/test_agent.py

@@ -84,16 +84,13 @@ def test_reviewer_graph_uses_forwarded_llm_credentials(
 ) -> None:
     captured: dict = {}
 
-    class FakeChatOpenAI:
-        def __init__(self, **kwargs: object) -> None:
-            captured["model_kwargs"] = kwargs
-
-    def fake_create_deep_agent(**kwargs: object) -> dict[str, object]:
+    def fake_create_a2a_deep_agent(ctx, *, creds, default_temperature=None, **kwargs) -> dict[str, object]:
+        captured["creds"] = creds
+        captured["default_temperature"] = default_temperature
         captured["graph_kwargs"] = kwargs
         return kwargs
 
-    monkeypatch.setattr(reviewer_builder, "ChatOpenAI", FakeChatOpenAI)
-    monkeypatch.setattr(reviewer_builder, "create_deep_agent", fake_create_deep_agent)
+    monkeypatch.setattr(reviewer_builder, "create_a2a_deep_agent", fake_create_a2a_deep_agent)
 
     graph = build_reviewer_graph(
         ReviewerContext(
@@ -111,13 +108,13 @@ def test_reviewer_graph_uses_forwarded_llm_credentials(
     )
 
     assert graph is captured["graph_kwargs"]
-    assert captured["model_kwargs"] == {
-        "model": "platform-model",
-        "base_url": "http://litellm.test/v1",
-        "api_key": "scoped-grant-token",
-        "stream_usage": True,
-        "extra_body": {"extra_body": {"thinking": {"type": "disabled"}}},
-    }
+    creds = captured["creds"]
+    assert getattr(creds, "model") == "platform-model"
+    assert getattr(creds, "base_url") == "http://litellm.test/v1"
+    assert getattr(creds, "api_key") == "scoped-grant-token"
+    assert getattr(creds, "temperature_mode") == "omit"
+    assert getattr(creds, "extra_body") == {"extra_body": {"thinking": {"type": "disabled"}}}
+    assert captured["default_temperature"] == 0.0
 
 
 def test_reviewer_graph_rejects_missing_forwarded_llm_credentials(