From 4e12e3f90da9b8e4dd79825b843adf62e4f7c444 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Wed, 5 Nov 2025 10:55:44 +0800 Subject: [PATCH] fix typo of orginal (#16255) --- .../prompt_templates/factory.py | 16 ++++++++-------- litellm/litellm_core_utils/streaming_handler.py | 2 +- litellm/proxy/auth/auth_exception_handler.py | 2 +- .../model_management_endpoints.py | 2 +- .../proxy_unit_tests/test_proxy_token_counter.py | 2 +- 5 files changed, 12 insertions(+), 12 deletions(-) diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py index ba83e3c72c1..1dd4590a0f3 100644 --- a/litellm/litellm_core_utils/prompt_templates/factory.py +++ b/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: diff --git a/litellm/litellm_core_utils/streaming_handler.py b/litellm/litellm_core_utils/streaming_handler.py index a5c3862cf30..4d8e109d882 100644 --- a/litellm/litellm_core_utils/streaming_handler.py +++ b/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: diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py index 268e3bb1b20..2b9c4cdce6e 100644 --- a/litellm/proxy/auth/auth_exception_handler.py +++ b/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, diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py index 9e9301dbbe8..5e9f2544020 100644 --- a/litellm/proxy/management_endpoints/model_management_endpoints.py +++ b/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 diff --git a/tests/proxy_unit_tests/test_proxy_token_counter.py b/tests/proxy_unit_tests/test_proxy_token_counter.py index 41132a65f2c..39606ef7ce9 100644 --- a/tests/proxy_unit_tests/test_proxy_token_counter.py +++ b/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