diff --git a/litellm/llms/chatgpt/common_utils.py b/litellm/llms/chatgpt/common_utils.py
index d1bc111eb6f..3946ce53975 100644
--- a/litellm/llms/chatgpt/common_utils.py
+++ b/litellm/llms/chatgpt/common_utils.py
@@ -252,7 +252,7 @@ def get_chatgpt_default_instructions() -> str:
     return os.getenv("CHATGPT_DEFAULT_INSTRUCTIONS") or CHATGPT_DEFAULT_INSTRUCTIONS
 
 
-def _normalize_litellm_params(litellm_params: Any | None) -> dict:
+def _normalize_litellm_params(litellm_params: Any | None) -> dict[str, object]:
     if litellm_params is None:
         return {}
     if isinstance(litellm_params, dict):
@@ -274,8 +274,9 @@ def get_chatgpt_session_id(litellm_params: object) -> str | None:
     params: Final = _normalize_litellm_params(litellm_params)
     metadata: Final = params.get("metadata")
     generated: Final = any(
-        isinstance(params.get(name), dict) and params[name].get(SESSION_ID_GENERATED_METADATA_KEY)
-        for name in ("metadata", "litellm_metadata")
+        True
+        for session_metadata in (metadata, params.get("litellm_metadata"))
+        if isinstance(session_metadata, dict) and session_metadata.get(SESSION_ID_GENERATED_METADATA_KEY)
     )
     if not generated:
         for key in ("litellm_session_id", "session_id"):
@@ -286,7 +287,7 @@ def get_chatgpt_session_id(litellm_params: object) -> str | None:
             value = metadata.get("session_id")
             if value:
                 return str(value)
-    prompt_cache_key: Final = params.get("prompt_cache_key")
+    prompt_cache_key: Final[object] = params.get("prompt_cache_key")
     if prompt_cache_key:
         key = str(prompt_cache_key)
         safe = _safe_header_value(key)
diff --git a/tests/unit/llms/chatgpt/responses/test_chatgpt_responses_transformation.py b/tests/unit/llms/chatgpt/responses/test_chatgpt_responses_transformation.py
index 3efd9c58437..ed64e4b73c0 100644
--- a/tests/unit/llms/chatgpt/responses/test_chatgpt_responses_transformation.py
+++ b/tests/unit/llms/chatgpt/responses/test_chatgpt_responses_transformation.py
@@ -60,6 +60,7 @@ class TestChatGPTResponsesAPITransformation:
         assert isinstance(config, ChatGPTResponsesAPIConfig)
         assert config.custom_llm_provider == LlmProviders.CHATGPT
 
+
     @pytest.mark.parametrize(
         "model_name",
         [
@@ -96,10 +97,14 @@ class TestChatGPTResponsesAPITransformation:
         url = config.get_complete_url(api_base=None, litellm_params={})
         assert url == "https://chatgpt.example.com/responses"
 
-        custom_url = config.get_complete_url(api_base="https://custom.chatgpt.com", litellm_params={})
+        custom_url = config.get_complete_url(
+            api_base="https://custom.chatgpt.com", litellm_params={}
+        )
         assert custom_url == "https://custom.chatgpt.com/responses"
 
-        url_with_slash = config.get_complete_url(api_base="https://chatgpt.example.com/", litellm_params={})
+        url_with_slash = config.get_complete_url(
+            api_base="https://chatgpt.example.com/", litellm_params={}
+        )
         assert url_with_slash == "https://chatgpt.example.com/responses"
 
     @patch("litellm.llms.chatgpt.responses.transformation.Authenticator")
@@ -162,7 +167,9 @@ class TestChatGPTResponsesAPITransformation:
                 "user": "user_123",
                 "temperature": 0.2,
                 "top_p": 0.9,
-                "context_management": [{"type": "compaction", "compact_threshold": 200000}],
+                "context_management": [
+                    {"type": "compaction", "compact_threshold": 200000}
+                ],
                 "metadata": {"foo": "bar"},
                 "max_output_tokens": 123,
                 "stream_options": {"include_usage": True},
@@ -201,7 +208,9 @@ class TestChatGPTResponsesAPITransformation:
             ("chatgpt/gpt-5.3-codex", "gpt-5.3-codex"),
         ],
     )
-    def test_chatgpt_non_stream_sse_response_parsing(self, model_name: str, response_model: str):
+    def test_chatgpt_non_stream_sse_response_parsing(
+        self, model_name: str, response_model: str
+    ):
         config = ChatGPTResponsesAPIConfig()
         response_payload = {
             "id": "resp_test",
@@ -224,7 +233,9 @@ class TestChatGPTResponsesAPITransformation:
                 "",
             ]
         )
-        raw_response = httpx.Response(200, headers={"content-type": "text/event-stream"}, text=sse_body)
+        raw_response = httpx.Response(
+            200, headers={"content-type": "text/event-stream"}, text=sse_body
+        )
         logging_obj = MagicMock()
 
         parsed = config.transform_response_api_response(
@@ -242,7 +253,9 @@ class TestChatGPTResponsesAPITransformation:
             ("chatgpt/gpt-5.3-codex", "gpt-5.3-codex"),
         ],
     )
-    def test_chatgpt_non_stream_sse_response_recovers_output_items(self, model_name: str, response_model: str):
+    def test_chatgpt_non_stream_sse_response_recovers_output_items(
+        self, model_name: str, response_model: str
+    ):
         config = ChatGPTResponsesAPIConfig()
         response_payload = {
             "id": "resp_test",
@@ -265,7 +278,9 @@ class TestChatGPTResponsesAPITransformation:
                 "",
             ]
         )
-        raw_response = httpx.Response(200, headers={"content-type": "text/event-stream"}, text=sse_body)
+        raw_response = httpx.Response(
+            200, headers={"content-type": "text/event-stream"}, text=sse_body
+        )
         logging_obj = MagicMock()
 
         parsed = config.transform_response_api_response(
@@ -305,7 +320,9 @@ class TestChatGPTResponsesAPITransformation:
                 "",
             ]
         )
-        raw_response = httpx.Response(200, headers={"content-type": "text/event-stream"}, text=sse_body)
+        raw_response = httpx.Response(
+            200, headers={"content-type": "text/event-stream"}, text=sse_body
+        )
         logging_obj = MagicMock()
 
         parsed = config.transform_response_api_response(
@@ -338,7 +355,9 @@ class TestChatGPTResponsesAPITransformation:
                 "",
             ]
         )
-        raw_response = httpx.Response(502, headers={"content-type": "text/event-stream"}, text=sse_body)
+        raw_response = httpx.Response(
+            502, headers={"content-type": "text/event-stream"}, text=sse_body
+        )
         logging_obj = MagicMock()
 
         with pytest.raises(OpenAIError) as exc_info: