diff --git a/.github/workflows/pull-request.yaml b/.github/workflows/pull-request.yaml
index 9d0a11e4..28b21772 100644
--- a/.github/workflows/pull-request.yaml
+++ b/.github/workflows/pull-request.yaml
@@ -15,7 +15,7 @@ jobs:
     runs-on: ubuntu-latest
 
     container:
-      image: python:3.12
+      image: python:3.13
 
     steps:
       - name: Checkout
diff --git a/tests/unit/test_text_completion/test_openai_processor.py b/tests/unit/test_text_completion/test_openai_processor.py
index a9a43b37..352af062 100644
--- a/tests/unit/test_text_completion/test_openai_processor.py
+++ b/tests/unit/test_text_completion/test_openai_processor.py
@@ -102,11 +102,7 @@ class TestOpenAIProcessorSimple(IsolatedAsyncioTestCase):
                 }]
             }],
             temperature=0.0,
-            max_tokens=4096,
-            top_p=1,
-            frequency_penalty=0,
-            presence_penalty=0,
-            response_format={"type": "text"}
+            max_tokens=4096
         )
 
     @patch('trustgraph.model.text_completion.openai.llm.OpenAI')
@@ -385,10 +381,6 @@ class TestOpenAIProcessorSimple(IsolatedAsyncioTestCase):
         assert call_args[1]['model'] == 'gpt-3.5-turbo'
         assert call_args[1]['temperature'] == 0.5
         assert call_args[1]['max_tokens'] == 1024
-        assert call_args[1]['top_p'] == 1
-        assert call_args[1]['frequency_penalty'] == 0
-        assert call_args[1]['presence_penalty'] == 0
-        assert call_args[1]['response_format'] == {"type": "text"}
 
 
     @patch('trustgraph.model.text_completion.openai.llm.OpenAI')
diff --git a/trustgraph-flow/trustgraph/model/text_completion/openai/llm.py b/trustgraph-flow/trustgraph/model/text_completion/openai/llm.py
index 74ed2353..d2698589 100755
--- a/trustgraph-flow/trustgraph/model/text_completion/openai/llm.py
+++ b/trustgraph-flow/trustgraph/model/text_completion/openai/llm.py
@@ -87,12 +87,6 @@ class Processor(LlmService):
                 ],
                 temperature=effective_temperature,
                 max_tokens=self.max_output,
-                top_p=1,
-                frequency_penalty=0,
-                presence_penalty=0,
-                response_format={
-                    "type": "text"
-                }
             )
             
             inputtokens = resp.usage.prompt_tokens