- 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.
- Introduced new SSOConfig class to manage SSO settings.
- Added endpoints for fetching and updating SSO settings in proxy_setting_endpoints.py.
- Created a new __init__.py file to expose the SSO router.
- Updated AdminPanel and SSOModals components to handle SSO settings retrieval and updates.
- Removed deprecated SSO update logic from AdminPanel.
- Enhanced error handling and logging for SSO operations.
Pass premiumUser prop to RegenerateKeyModal to control access
Disable Regenerate Key button and show tooltip for non-premium users
Ensure consistent enterprise feature messaging across components
* fix(anthropic/): fix regression when passing file url's to the 'file_id' parameter
add test and ensure anthropic file url's are correctly sent as 'document' blocks
* fix(vertex_and_google_ai_studio.py): Use same usage calculation function as non-streaming
Closes https://github.com/BerriAI/litellm/issues/10667
* test(test_vertex_and_google_ai_studio_gemini.py): update test
* fix(ui_sso.py): update user as proxy admin in db table, when checking for proxy_admin_id
Fixes issue where existing internal user, unable to make calls when set as proxy admin id
* fix(utils.py): fix custom base path
* fix: update model path for llama-v3p2-90b-vision-instruct in pricing configuration (missing fireworks_ai/ prefix)
* feat: add deepseek-r1-0528 model configuration to pricing JSON
* feat: add configurations for new Claude 4 model alias to pricing JSON
* undo prefix change
* fix: update supports_response_schema to false in pricing JSON for litellm_provider
* update supports_tool_choice and supports_response_schema
* Update model configuration to disable function calling and tool choice for multiple models in fireworks_ai. Adjusted supported parameters in FireworksAIConfig to conditionally include tools and tool_choice based on model compatibility.
* Refactor FireworksAIConfig to use supports_function_calling from utils
* Enhance FireworksAIConfig to conditionally support tool_choice based on model capabilities
* Fixes issue with team_endpoints on member budget update
* refactored location of budget membership fix
* added test for _upsert_budget_membership func
* fix(proxy_server.py): working swagger on custom base
removes the swagger monkey patch - this seems to render the swagger on custom base paths
* fix(ui/): working custom auth uptil login success event
* fix(ui/): working custom server root path for login
* fix(proxy_server.py): create typed dict for ui returned token
allows better documentation of expected params
* refactor(proxy_server.py): refactor all ui login endpoints to use same returned ui token object
* feat(ui_sso.py): add server root path to ui token
* feat(ui_sso.py): allows ui to call correct endpoint
* fix(networking.tsx): update proxy base url with custom root path
* fix(networking.tsx): handle updating proxy base url for non-local instances
* refactor: remove uneccessary references to proxybaseurl in ui code - reduce potential for errors
* fix: fix linting error
* fix(onboarding_link.tsx): fix onboarding link when custom server path is set
* feat(ui_discovery_endpoints.py): add new public .well-known/ route for litellm ui config
returns the server root path and proxy base url for constructing api calls
* feat(_types.py): add litellm well known config as public route
allows ui to query it
* fix(/_types.py): add .well-known config to as public route
* fix(page.tsx): create pattern for loading in ui config before making network requests
ensures requests are formatted correctly
* fix(page.tsx): call credential endpoint once ui config is loaded
* fix(page.tsx): route correctly to litellm dashboard from new user login
* fix(page.tsx): remove hardcoded `/litellm` for /sso/key/generate request
* fix(proxy_server.py): re-add moderations endpoint
* fix(proxy_server.py): mount __next__ at / and /litellm
allows it to work when proxy is mounted on root
* docs(contributing.md): remove /ui on ui doc - it will now run on root
* docs(custom_root_ui.md): add docs on custom root path
- Changed hardcoded model "whisper-1" to dynamic model extraction in AzureAudioTranscription and OpenAIAudioTranscription classes.
- Added tests to ensure correct model mapping for various transcription models, including GPT-4o and Azure whisper-1.
Ishaan Jaff