Refactor DeepSeek V4 reasoning helper imports

litellm/llms/openai/chat/gpt_transformation.py

@@ -56,7 +56,7 @@ from litellm.types.utils import (
 from litellm.utils import convert_to_model_response_object
 
 from ..common_utils import OpenAIError
-from ..common_utils import patch_deepseek_v4_reasoning_messages
+from ..deepseek_reasoning_utils import patch_deepseek_v4_reasoning_messages
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

litellm/llms/openai/common_utils.py

@@ -258,43 +258,6 @@ class BaseOpenAILLM:
 class OpenAICredentials(NamedTuple):
     api_base: str
     api_key: Optional[str]
-
-
-def requires_deepseek_v4_reasoning_content(model: Optional[str]) -> bool:
-    """Return True when the model requires DeepSeek V4 thinking history."""
-    if not model:
-        return False
-
-    normalized_model = model.lower()
-    if normalized_model.startswith("responses/"):
-        normalized_model = normalized_model.split("responses/", 1)[1]
-
-    return "deepseek-v4" in normalized_model
-
-
-def patch_deepseek_v4_reasoning_messages(
-    model: Optional[str], messages: List[Any]
-) -> List[Any]:
-    """
-    Ensure assistant tool-call messages include reasoning_content for DeepSeek V4.
-
-    DeepSeek V4 rejects multi-turn requests when prior assistant tool-call messages
-    omit the reasoning_content field, even if the value is empty.
-    """
-    if not requires_deepseek_v4_reasoning_content(model):
-        return messages
-
-    for message in messages:
-        if not isinstance(message, dict):
-            continue
-        if message.get("role") != "assistant":
-            continue
-        if not (message.get("tool_calls") or message.get("tool_call_id")):
-            continue
-        if message.get("reasoning_content") is None:
-            message["reasoning_content"] = ""
-
-    return messages
     organization: Optional[str]
 
 

litellm/llms/openai/deepseek_reasoning_utils.py

@@ -0,0 +1,38 @@
+from typing import Any, List, Optional
+
+
+def requires_deepseek_v4_reasoning_content(model: Optional[str]) -> bool:
+    """Return True when the model requires DeepSeek V4 thinking history."""
+    if not model:
+        return False
+
+    normalized_model = model.lower()
+    if normalized_model.startswith("responses/"):
+        normalized_model = normalized_model.split("responses/", 1)[1]
+
+    return "deepseek-v4" in normalized_model
+
+
+def patch_deepseek_v4_reasoning_messages(
+    model: Optional[str], messages: List[Any]
+) -> List[Any]:
+    """
+    Ensure assistant tool-call messages include reasoning_content for DeepSeek V4.
+
+    DeepSeek V4 rejects multi-turn requests when prior assistant tool-call messages
+    omit the reasoning_content field, even if the value is empty.
+    """
+    if not requires_deepseek_v4_reasoning_content(model):
+        return messages
+
+    for message in messages:
+        if not isinstance(message, dict):
+            continue
+        if message.get("role") != "assistant":
+            continue
+        if not (message.get("tool_calls") or message.get("tool_call_id")):
+            continue
+        if message.get("reasoning_content") is None:
+            message["reasoning_content"] = ""
+
+    return messages

litellm/llms/openai/openai.py

@@ -58,9 +58,9 @@ from .chat.o_series_transformation import OpenAIOSeriesConfig
 from .common_utils import (
     BaseOpenAILLM,
     OpenAIError,
-    patch_deepseek_v4_reasoning_messages,
     drop_params_from_unprocessable_entity_error,
 )
+from .deepseek_reasoning_utils import patch_deepseek_v4_reasoning_messages
 
 openaiOSeriesConfig = OpenAIOSeriesConfig()
 openAIGPT5Config = OpenAIGPT5Config()

tests/llm_translation/test_deepseek_completion.py

@@ -241,3 +241,15 @@ def test_deepseek_reasoner_transform_request_does_not_inject_reasoning_content()
     )
 
     assert "reasoning_content" not in request["messages"][1]
+
+
+def test_get_openai_credentials_preserves_organization_field():
+    from litellm.llms.openai.common_utils import get_openai_credentials
+
+    credentials = get_openai_credentials(
+        api_base="https://example.com/v1",
+        api_key="test-key",
+        organization="test-org",
+    )
+
+    assert credentials.organization == "test-org"