fix typo of orginal (#16255)

litellm/litellm_core_utils/prompt_templates/factory.py

@@ -1490,7 +1490,7 @@ def convert_to_anthropic_tool_invoke(
 
         _content_element = add_cache_control_to_content(
             anthropic_content_element=_anthropic_tool_use_param,
-            orignal_content_element=dict(tool),
+            original_content_element=dict(tool),
         )
 
         if "cache_control" in _content_element:
@@ -1512,9 +1512,9 @@ def add_cache_control_to_content(
         AnthropicMessagesToolUseParam,
         ChatCompletionThinkingBlock,
     ],
-    orignal_content_element: Union[dict, AllMessageValues],
+    original_content_element: Union[dict, AllMessageValues],
 ):
-    cache_control_param = orignal_content_element.get("cache_control")
+    cache_control_param = original_content_element.get("cache_control")
     if cache_control_param is not None and isinstance(cache_control_param, dict):
         transformed_param = ChatCompletionCachedContent(**cache_control_param)  # type: ignore
 
@@ -1727,7 +1727,7 @@ def anthropic_messages_pt(  # noqa: PLR0915
                             )
                             _content_element = add_cache_control_to_content(
                                 anthropic_content_element=_anthropic_content_element,
-                                orignal_content_element=dict(m),
+                                original_content_element=dict(m),
                             )
 
                             if "cache_control" in _content_element:
@@ -1745,7 +1745,7 @@ def anthropic_messages_pt(  # noqa: PLR0915
                             )
                             _content_element = add_cache_control_to_content(
                                 anthropic_content_element=_anthropic_text_content_element,
-                                orignal_content_element=dict(m),
+                                original_content_element=dict(m),
                             )
                             _content_element = cast(
                                 AnthropicMessagesTextParam, _content_element
@@ -1767,7 +1767,7 @@ def anthropic_messages_pt(  # noqa: PLR0915
                     }
                     _content_element = add_cache_control_to_content(
                         anthropic_content_element=_anthropic_content_text_element,
-                        orignal_content_element=dict(user_message_types_block),
+                        original_content_element=dict(user_message_types_block),
                     )
 
                     if "cache_control" in _content_element:
@@ -1825,7 +1825,7 @@ def anthropic_messages_pt(  # noqa: PLR0915
                         )
                         _cached_message = add_cache_control_to_content(
                             anthropic_content_element=anthropic_message,
-                            orignal_content_element=dict(m),
+                            original_content_element=dict(m),
                         )
 
                         assistant_content.append(
@@ -1845,7 +1845,7 @@ def anthropic_messages_pt(  # noqa: PLR0915
 
                 _content_element = add_cache_control_to_content(
                     anthropic_content_element=_anthropic_text_content_element,
-                    orignal_content_element=dict(assistant_content_block),
+                    original_content_element=dict(assistant_content_block),
                 )
 
                 if "cache_control" in _content_element:

litellm/litellm_core_utils/streaming_handler.py

@@ -1305,7 +1305,7 @@ class CustomStreamWrapper:
             else:  # openai / azure chat model
                 if self.custom_llm_provider == "azure":
                     if isinstance(chunk, BaseModel) and hasattr(chunk, "model"):
-                        # for azure, we need to pass the model from the orignal chunk
+                        # for azure, we need to pass the model from the original chunk
                         self.model = getattr(chunk, "model", self.model)
                 response_obj = self.handle_openai_chat_completion_chunk(chunk)
                 if response_obj is None:

litellm/proxy/auth/auth_exception_handler.py

@@ -44,7 +44,7 @@ class UserAPIKeyAuthExceptionHandler:
             - UserAPIKeyAuth: If general_settings.allow_requests_on_db_unavailable is True
 
         Raises:
-            - Orignal Exception in all other cases
+            - Original Exception in all other cases
         """
         from litellm.proxy.proxy_server import (
             general_settings,

litellm/proxy/management_endpoints/model_management_endpoints.py

@@ -287,7 +287,7 @@ async def _add_model_to_db(
 ) -> Optional[LiteLLM_ProxyModelTable]:
     # encrypt litellm params #
     _litellm_params_dict = model_params.litellm_params.dict(exclude_none=True)
-    _orignal_litellm_model_name = model_params.litellm_params.model
+    _original_litellm_model_name = model_params.litellm_params.model
     for k, v in _litellm_params_dict.items():
         encrypted_value = encrypt_value_helper(
             value=v, new_encryption_key=new_encryption_key

tests/proxy_unit_tests/test_proxy_token_counter.py

@@ -694,7 +694,7 @@ async def test_vertex_ai_gemini_token_counting_with_contents(model_name):
 
     print("Vertex AI Gemini token counting response:", response)
 
-    # validate we have orignal response
+    # validate we have original response
     assert response.original_response is not None
     assert response.original_response.get("totalTokens") is not None
     assert response.original_response.get("promptTokensDetails") is not None