diff --git a/tests/trace/builtin_objects/test_builtin_model.py b/tests/trace/builtin_objects/test_builtin_model.py
index efb2e3c3456..17e2d977f02 100644
--- a/tests/trace/builtin_objects/test_builtin_model.py
+++ b/tests/trace/builtin_objects/test_builtin_model.py
@@ -4,11 +4,27 @@
 from weave.trace.weave_client import WeaveClient
 from weave.trace_server import trace_server_interface as tsi
 
+model_args = dict(
+    model="gpt-4o",
+    messages_template=[{"role": "user", "content": "{input}"}],
+    response_format={
+        "type": "json_schema",
+        "json_schema": {
+            "name": "Person",
+            "schema": {
+                "type": "object",
+                "properties": {
+                    "age": {"type": "integer"},
+                    "name": {"type": "string"},
+                },
+            },
+        },
+    },
+)
+
 
 def test_publishing_alignment(client: WeaveClient):
-    model = LiteLLMCompletionModel(
-        model="gpt-4o", messages_template=[{"role": "user", "content": "{input}"}]
-    )
+    model = LiteLLMCompletionModel(**model_args)
     publish_ref = weave.publish(model)
 
     obj_create_res = client.server.obj_create(
@@ -17,10 +33,7 @@ def test_publishing_alignment(client: WeaveClient):
                 "obj": {
                     "project_id": client._project_id(),
                     "object_id": "LiteLLMCompletionModel",
-                    "val": {
-                        "model": "gpt-4o",
-                        "messages_template": [{"role": "user", "content": "{input}"}],
-                    },
+                    "val": model_args,
                     "set_leaf_object_class": "LiteLLMCompletionModel",
                 }
             }
@@ -31,31 +44,13 @@ def test_publishing_alignment(client: WeaveClient):
 
 
 def test_local_create_local_use(client: WeaveClient):
-    model = LiteLLMCompletionModel(
-        model="gpt-4o",
-        messages_template=[{"role": "user", "content": "{input}"}],
-        response_format={
-            "type": "json_schema",
-            "json_schema": {
-                "name": "Person",
-                "schema": {
-                    "type": "object",
-                    "properties": {
-                        "age": {"type": "integer"},
-                        "name": {"type": "string"},
-                    },
-                },
-            },
-        },
-    )
+    model = LiteLLMCompletionModel(**model_args)
     predict_result = model.predict(input="My name is Carlos and I am 42 years old.")
     assert predict_result == {"age": 42, "name": "Carlos"}
 
 
 def test_local_create_remote_use(client: WeaveClient):
-    model = LiteLLMCompletionModel(
-        model="gpt-4o", messages_template=[{"role": "user", "content": "{input}"}]
-    )
+    model = LiteLLMCompletionModel(**model_args)
     publish_ref = weave.publish(model)
     remote_call_res = client.server.call_method(
         tsi.CallMethodReq.model_validate(
@@ -87,10 +82,7 @@ def test_remote_create_local_use(client: WeaveClient):
                 "obj": {
                     "project_id": client._project_id(),
                     "object_id": "LiteLLMCompletionModel",
-                    "val": {
-                        "model": "gpt-4o",
-                        "messages_template": [{"role": "user", "content": "{input}"}],
-                    },
+                    "val": model_args,
                     "set_leaf_object_class": "LiteLLMCompletionModel",
                 }
             }
@@ -114,10 +106,7 @@ def test_remote_create_remote_use(client: WeaveClient):
                 "obj": {
                     "project_id": client._project_id(),
                     "object_id": "LiteLLMCompletionModel",
-                    "val": {
-                        "model": "gpt-4o",
-                        "messages_template": [{"role": "user", "content": "{input}"}],
-                    },
+                    "val": model_args,
                     "set_leaf_object_class": "LiteLLMCompletionModel",
                 }
             }