diff --git a/ansible_ai_connect/ai/api/model_pipelines/dummy/configuration.py b/ansible_ai_connect/ai/api/model_pipelines/dummy/configuration.py
index 40947286c..64d2995b8 100644
--- a/ansible_ai_connect/ai/api/model_pipelines/dummy/configuration.py
+++ b/ansible_ai_connect/ai/api/model_pipelines/dummy/configuration.py
@@ -19,9 +19,6 @@
     BaseConfig,
     PipelineConfiguration,
 )
-from ansible_ai_connect.ai.api.model_pipelines.config_serializers import (
-    BaseConfigSerializer,
-)
 from ansible_ai_connect.ai.api.model_pipelines.registry import Register
 
 # ANSIBLE_AI_MODEL_MESH_API_URL
@@ -29,20 +26,22 @@
 # DUMMY_MODEL_RESPONSE_MAX_LATENCY_MSEC
 # DUMMY_MODEL_RESPONSE_BODY
 
+DEFAULT_BODY = (
+    '{"predictions":'
+    '["ansible.builtin.apt:\\n  name: nginx\\n  update_cache: true\\n  state: present\\n"]}'
+)
+
 
 class DummyConfiguration(BaseConfig):
 
     def __init__(
         self,
-        inference_url: str,
-        model_id: str,
-        timeout: Optional[int],
         enable_health_check: Optional[bool],
         latency_use_jitter: bool,
         latency_max_msec: int,
         body: str,
     ):
-        super().__init__(inference_url, model_id, timeout, enable_health_check)
+        super().__init__("dummy", "dummy", None, enable_health_check)
         self.latency_use_jitter = latency_use_jitter
         self.latency_max_msec = latency_max_msec
         self.body = body
@@ -55,9 +54,6 @@ def __init__(self, **kwargs):
         super().__init__(
             "dummy",
             DummyConfiguration(
-                inference_url=kwargs["inference_url"],
-                model_id=kwargs["model_id"],
-                timeout=kwargs["timeout"],
                 enable_health_check=kwargs["enable_health_check"],
                 latency_use_jitter=kwargs["latency_use_jitter"],
                 latency_max_msec=kwargs["latency_max_msec"],
@@ -67,7 +63,10 @@ def __init__(self, **kwargs):
 
 
 @Register(api_type="dummy")
-class DummyConfigurationSerializer(BaseConfigSerializer):
+class DummyConfigurationSerializer(serializers.Serializer):
+    enable_health_check = serializers.BooleanField(required=False, default=False)
     latency_use_jitter = serializers.BooleanField(required=False, default=False)
     latency_max_msec = serializers.IntegerField(required=False, default=3000)
-    body = serializers.CharField(required=True)
+    body = serializers.CharField(
+        required=False, allow_null=True, allow_blank=True, default=DEFAULT_BODY
+    )
diff --git a/ansible_ai_connect/ai/api/model_pipelines/dummy/tests/test_configuration.py b/ansible_ai_connect/ai/api/model_pipelines/dummy/tests/test_configuration.py
new file mode 100644
index 000000000..21cb087e8
--- /dev/null
+++ b/ansible_ai_connect/ai/api/model_pipelines/dummy/tests/test_configuration.py
@@ -0,0 +1,44 @@
+#  Copyright Red Hat
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+
+from ansible_ai_connect.ai.api.model_pipelines.dummy.configuration import (
+    DEFAULT_BODY,
+    DummyConfiguration,
+    DummyConfigurationSerializer,
+)
+from ansible_ai_connect.ai.api.model_pipelines.tests import mock_pipeline_config
+from ansible_ai_connect.test_utils import WisdomServiceAPITestCaseBaseOIDC
+
+
+class TestDummyConfigurationSerializer(WisdomServiceAPITestCaseBaseOIDC):
+
+    def test_empty(self):
+        serializer = DummyConfigurationSerializer(data={})
+        self.assertTrue(serializer.is_valid())
+        self.assertEqual(serializer.validated_data["enable_health_check"], False)
+        self.assertEqual(serializer.validated_data["latency_use_jitter"], False)
+        self.assertEqual(serializer.validated_data["latency_max_msec"], 3000)
+        self.assertEqual(serializer.validated_data["body"], DEFAULT_BODY)
+
+    def test_serializer_with_body(self):
+        config: DummyConfiguration = mock_pipeline_config("dummy")
+        serializer = DummyConfigurationSerializer(data=config.__dict__)
+        self.assertTrue(serializer.is_valid())
+
+    def test_serializer_without_body(self):
+        config: DummyConfiguration = mock_pipeline_config("dummy")
+        del config.__dict__["body"]
+        serializer = DummyConfigurationSerializer(data=config.__dict__)
+        self.assertTrue(serializer.is_valid())
+        self.assertEqual(serializer.validated_data["body"], DEFAULT_BODY)
diff --git a/ansible_ai_connect/ai/api/model_pipelines/tests/__init__.py b/ansible_ai_connect/ai/api/model_pipelines/tests/__init__.py
index f70aa9086..4ee8e825d 100644
--- a/ansible_ai_connect/ai/api/model_pipelines/tests/__init__.py
+++ b/ansible_ai_connect/ai/api/model_pipelines/tests/__init__.py
@@ -66,17 +66,12 @@ def extract(name: str, default: T, **kwargs) -> T:
 def mock_pipeline_config(pipeline_provider: t_model_mesh_api_type, **kwargs):
     match pipeline_provider:
         case "dummy":
-            inference_url = extract("inference_url", "http://localhost", **kwargs)
-            c = DummyConfiguration(
-                inference_url=inference_url,
-                model_id=extract("model_id", "a-model-id", **kwargs),
-                timeout=extract("timeout", 1000, **kwargs),
+            return DummyConfiguration(
                 enable_health_check=extract("enable_health_check", False, **kwargs),
                 latency_use_jitter=extract("latency_use_jitter", False, **kwargs),
                 latency_max_msec=extract("latency_max_msec", 0, **kwargs),
                 body=extract("body", "body", **kwargs),
             )
-            return c
         case "grpc":
             return GrpcConfiguration(
                 inference_url=extract("inference_url", "http://localhost", **kwargs),