* fix(vertex_and_google_ai_studio_gemini.py): add web search request tracking
Enables cost calculation for google web search
* fix(vertex_and_gemini): use common processing logic across stream / non-stream calls
* fix(vertex_And_google_ai_studio_Gemini.py): fix initial choice
* fix: fix linting error
* fix: add initial support for google search cost tracking
* fix(tool_call_cost_tracking.py): working tool cost tracking for gemini
* fix(vertex_ai/gemini/cost_calculator.py): add google web search tool cost tracking for vertex ai
Closes LIT-210
* fix: fix check
* build(model_prices_and_context_window.json): fix amazon nova max output tokens
Closes https://github.com/BerriAI/litellm/issues/11441
* fix: fix ruff check
* Add tests for function calling support in LiteLLM proxy models
- Introduced a new test script `test_proxy_function_calling.py` to validate function calling capabilities for both direct and proxied models.
- Created a comprehensive test suite in `tests/litellm_utils_tests/test_proxy_function_calling.py` using pytest, covering various model configurations and edge cases.
- Implemented parameterized tests to ensure consistency between direct and proxied model function calling support.
- Added tests for specific proxy models, edge cases, and import verification for the `supports_function_calling` function.
- Included a demonstration test to highlight the current issue with proxy model resolution.
* feat: add fallback handling for litellm_proxy models in model info retrieval
* feat: enhance proxy function calling tests with custom model name handling and documentation
* fix: add type ignore comments for custom logger callback initialization
* fix: remove styling diff
* fix: style
* fix(utils.py): remove outdated comment regarding litellm_proxy models
* feat(utils.py): add proxy model handling for underlying model extraction
* feat(utils.py): enhance model name handling for litellm_proxy integration
* refactor(utils.py): remove unused _handle_proxy_model_names function
* fix: using litellm with claude code bedrock
* fix: usage for bedrock with /messages
* fix: bedrock_sse_wrapper
* tests: test for test_chunk_parser_usage_transformation
* test fix
* fix(huggingface): use get() instead of pop() for input_type parameter
Fixes embedding generation for HuggingFace models where input_type override
is required (e.g. BAAI/bge-m3). The pop() method was mutating optional_params
and removing input_type before downstream functions could access it.
* Add unit tests to catch regression
* Move tests around
* fix(convert_dict_to_response.py): handle None values in usage field for gpt-image-1
* test: add tests for handling None and partial values in usage fields for gpt-image-1 responses
- Renamed SSOSettingsResponse to inherit from a new base class SettingsResponse for better structure.
- Introduced InternalUserSettingsResponse and DefaultTeamSettingsResponse models for internal user and default team settings.
- Updated endpoint responses to use field_schema instead of schema for consistency.
- Enhanced test cases to validate the new response structure and ensure proper functionality of SSO settings.
- Introduced SSOSettingsResponse model to encapsulate SSO configuration values and schema information.
- Updated the get_sso_settings endpoint to utilize the new response model, enhancing API clarity and usability.
- Introduced a confirmation modal for clearing SSO settings.
- Implemented handleClearSSO function to reset SSO settings and provide user feedback.
- Updated UI to include a 'Clear' button for SSO settings, enhancing user experience.
- Added state management for the confirmation modal visibility.
- Added logic to check SSO configuration and set state in AdminPanel.
- Introduced a new function to handle SSO configuration checks.
- Updated UI to conditionally render SSO button text based on configuration status.
- Passed SSO configuration status as a prop to SSOModals for better integration.
