* feat: Add logo customization for LiteLLM admin UI
- Add simple logo customization page under Settings > UI Theme
- Support custom logo URL with instant preview
- Clean reset to default functionality
- Wrap app with ThemeProvider for proper context
- Backend properly handles null/empty logo URLs
* style: Update save button to use indigo color and 'Save Changes' text for consistency
* fix: Restore CloudZero background job initialization
Address PR review feedback by restoring the _initialize_spend_tracking_background_jobs method
that handles both CloudZero and Prometheus background job initialization. This ensures
critical spend tracking functionality is not lost while preserving the logo customization feature.
Changes:
- Restore _initialize_spend_tracking_background_jobs method
- Replace inline Prometheus initialization with proper method call
- Maintain CloudZero background job setup for cost tracking
* fix unsupported operand type(s) for +=: 'NoneType' and 'str' on clientside auth creds for responses
* fix the client side auth to use correct metadata
* add more tests
* fix tests
* fix(route_checks.py): ensure disable llm api endpoints is correctly set
* fix(route_checks.py): raise httpexception
raise expected exceptions
* fix(router.py): handle team only wildcard models
fixes issue where team only wildcard models were not considered during auth checks
* fix(router.py): handle team only wildcard models
fixes issue where team only wildcard models were not considered during auth checks
* create OCI required files
* request and response conversion for non-streaming chat
* support tool calling with OCI generic API without streaming
* adaptation of api call for generic and cohere format
* include tool calls and responses in generic api and dropping support for cohere
* fix invalid content-length error
* support streaming for generic api
* fix auth error when using acompletion with streaming
* refactor: use base_llm_http_handler and include API type definitions
* update types and add type safety in different methods
* fix OCIFunction format
* create custom stream wrapper for decoding OCI stream
* remove unused files
* create unit tests for OCI
* lint the code
* remove manual test
* docs: update the docs to include OCI
* add _transform_responses_api_function_call_to_chat_completion_message
* test_responses_api_with_tool_calls
* TestFunctionCallTransformation
* fixes for responses API testing google ai studio
* TestGoogleAIStudioResponsesAPITest
* test_responses_api_with_tool_calls
* test_responses_api_with_tool_calls
* test_basic_openai_responses_streaming_delete_endpoint
