* feat: add summarize parameter to /spend/logs endpoint for individual transaction logs
- Introduced a new `summarize` parameter to control data format when querying spend logs.
- `summarize=true` (default) returns aggregated data, while `summarize=false` provides individual transaction logs.
- Updated documentation and added tests to validate the new functionality.
* fix: wrap boto3.Session() with tracer for observability - Add tracer.trace wrapper around boto3.Session() call in _get_aws_region_name method - Ensures all boto3 initializations in base_aws_llm.py are properly instrumented - Fixes test_boto3_init_tracer_wrapping test failure - Maintains consistency with other boto3 calls in the same file
* fix(litellm_pre_call_utils.py): add user agent tags to spend logs in standard logging payload logic
avoid clash when tag based routing is enabled
* test: remove redundant test
* test: rename oidc test to run earlier
quicker debuging
* fix(azure.py): return more detailed error message
* fix(azure/common_utils.py): use default scope, if scope is none
fixes oidc test
* fix: always default to cognitiveservices.azure.com
* test: update test
* feat: Implement health check functionality for models
- Added individual model health check API call and integrated it into the dashboard.
- Introduced health check history and latest health checks retrieval.
- Enhanced model dashboard to display health status, last check time, and error details.
- Created a new health check columns component for better organization of health data.
- Added error pattern handling for meaningful error messages.
- Updated UI components to support health check actions and display loading states.
* refactor: extract health check functionality into a new component
- Removed individual health check logic from ModelDashboard and encapsulated it within HealthCheckComponent for better modularity and maintainability.
- Updated ModelDashboard to utilize the new HealthCheckComponent, streamlining the health check process and improving code organization.
- Cleaned up unused state variables and imports related to health checks in ModelDashboard.
- Enhanced error handling and status management within the new component, ensuring a more robust health check experience.
* fix: add access token check in HealthCheckComponent to prevent unauthorized API calls
- Implemented a check for the presence of an access token before making API calls to fetch the latest health checks, enhancing security and preventing potential errors when the token is missing.
* Fix: #11853
Updated alerting.md to call the latest model for adding metadata.
* Fix: #11856
Updated billing docs to call newer GPT model for Langchain and CURL
* feat: Add health check functionality and endpoints
- Introduced methods for saving health check results to the database, including validation and cleaning of data.
- Added new health check endpoints to retrieve health check history and latest health statuses for models.
- Updated model prices and context window configuration for new Azure transcription models.
* test: Add unit tests for health check functionality
- Introduced tests for PrismaClient health check methods, including saving results and retrieving health check history.
- Added tests for the _save_health_check_to_db function to ensure proper handling of healthy and unhealthy endpoints.
- Implemented mock objects to simulate database interactions and validate method behaviors.
* Refactor health endpoint model ID handling and improve logging
- Updated health endpoint to use `get_deployment` for retrieving model names based on model IDs, enhancing error handling for missing models.
- Changed health check result saving to the database to be non-blocking by using `asyncio.create_task`.
- Cleaned up code for better readability and maintainability.
* Refactor utility functions in proxy module for improved readability and error handling
- Removed unused imports and simplified exception handling in `_get_redoc_url` and `_get_docs_url` functions to manage circular imports.
- Cleaned up logging statements for consistency and clarity.
- Streamlined error message formatting in `handle_exception_on_proxy` function.
* Enhance type hinting and default values in ProxyUpdateSpend class for improved clarity and robustness
- Added type hints for `_end_user_list_transactions` to specify it as a dictionary mapping end user IDs to spend amounts.
- Updated default values for optional fields in `SpendLogsPayload` to ensure they are initialized properly, enhancing error handling.
- Refactored `_premium_user_check` function to improve model validation logic and error handling.
* Fix disable_spend_updates method to handle None return value gracefully
- Updated the disable_spend_updates method to return False if the environment variable DISABLE_SPEND_UPDATES is not set or is None, improving robustness in configuration handling.
* Refactor join_paths function in utils.py for improved path handling
- Enhanced the join_paths function to better manage leading and trailing slashes, ensuring correct path concatenation.
- Added logic to handle cases where either base_path or route is empty, improving robustness and usability.
* Enhance health check functionality and improve error handling
- Introduced a new method `_save_health_check_to_db` for saving health check results to the database, utilizing safe JSON functions for data integrity.
- Refactored existing health check methods to streamline the process and improve error logging.
- Updated email sending logic to ensure secure connections and better error handling.
- Improved spend update logic with batch processing and retry mechanisms for database operations.
- Added utility functions for projected spend calculations and enhanced validation for team configurations.
* Add health check methods for database interaction
- Introduced `save_health_check_result` method to save health check results with detailed logging and validation.
- Added `get_health_check_history` method for retrieving health check records with optional filtering.
- Implemented `get_all_latest_health_checks` method to fetch the latest health checks for each model.
- Enhanced error handling and logging for all new methods to improve reliability and traceability.
* Refactor health check result saving to use typed arguments
- Updated the `_save_health_check_to_db` function to call `save_health_check_result` with explicitly typed arguments instead of a dictionary spread, enhancing code clarity and type safety.
- Removed unused method bindings in the mock Prisma client tests to streamline the test setup.
* Remove unused `_save_health_check_to_db` function from utils.py to streamline code and improve maintainability.
* Implement response time validation and details cleaning in health check result saving
- Added `_validate_response_time` method to ensure response time values are valid and handle exceptions gracefully.
- Introduced `_clean_details` method to validate and clean details JSON, improving data integrity.
- Refactored `save_health_check_result` to utilize these new methods for optional fields, enhancing code clarity and maintainability.
- Updated tests to bind new methods to the mock Prisma client for comprehensive testing.
* Add health check utility functions and refactor existing endpoints
- Introduced `_convert_health_check_to_dict` to standardize health check record conversion to dictionary format for JSON responses.
- Added `_check_prisma_client` helper function to streamline database availability checks and improve error handling.
- Refactored health check endpoints to utilize the new utility functions, enhancing code clarity and maintainability.
* Refactor health check tests for improved clarity and coverage
- Simplified the mock PrismaClient setup by consolidating method bindings.
- Updated health check result saving tests to use parameterized scenarios for better coverage.
- Added tests for health check history retrieval and graceful handling when no database client is provided.
- Removed redundant mock functions to streamline the test suite.
* Implement helper function for health check and database saving
- Added `_perform_health_check_and_save` to encapsulate health check execution and optional database saving.
- Refactored health endpoint logic to utilize the new helper function, improving code clarity and reducing redundancy.
- Enhanced error handling and streamlined the process of saving health check results to the database.
* refactor: rename target_model parameter to model in health check function
Added the `aws_region_name` and `aws_role_name` keys to the definition of a guardrail config.
Without these you will get the error `{\"message\":\"The guardrail identifier or version provided in the request does not exist.\"}`
* fix(model_checks.py): cleanup logic
support wildcard models with non-provider prefix's for model discovery
Closes https://github.com/BerriAI/litellm/pull/10358
* feat(model_checks.py): delegate wildcard prefix appending to the get_known_models_from_wildcard function
remove from the 'get_provider_models' function
* fix(model_checks.py): don't double add the wildcard prefix
* test: update tests
* fix(handle_jwt.py): check user object, if jwt user is proxy admin
correctly return user role - if jwt user has role updated in UI
* test(test_handle_jwt.py): add unit test for passing correct user role
* feat(model_info_view.tsx): separate UI component for updating edit model component
* feat(model_info_view.tsx): allow updating model access group on UI
show all available access groups in ui component
* docs: minor fixes
* feat(ui_sso.py): allow admin to specify additional headers for sso provider
some sso providers require special headers to return a json response
* test(test_ui_sso.py): add unit tests to ensure custom headers are respect3ed
* docs(config_settings.md): document new header param
* fix(litellm_pre_call_utils.py): add spend tag tracking by user agent
allows checking spend for cli tools like claude code
* feat(litellm_pre_call_utils.py): track spend by user agent part if user agent contains "/"
allows tracking spend across user agent versions
Better cost tracking for claude cod
* test(test_litellm_pre_call_utils.py): add testing for pre call utils, user agent parsing
* fix: fix linting check
* docs: track which items need docs
* docs(anthropic.md): add tool_choice="none" to docs
* docs: add docs for new anthropic + perplexity features
* docs: cleanup mistral reasoning docs
* docs: add links to docs
* docs(index.md): update docs
* docs: refactor to add a new 'integrations' tab to docs
* refactor(docs/): create separate tab for integrations
make it easier to highlight new integrations
* docs: sort sidebar
* docs: update
* feat: working claude code with openai codex mini
* docs: add responses api to docs
* feat(index.md): update docs
* fix: fix linting error
* docs: track which items need docs
* docs(anthropic.md): add tool_choice="none" to docs
* docs: add docs for new anthropic + perplexity features
* docs: cleanup mistral reasoning docs
* docs: add links to docs
* docs(index.md): update docs
* docs: refactor to add a new 'integrations' tab to docs
* refactor(docs/): create separate tab for integrations
make it easier to highlight new integrations
* docs: sort sidebar
* docs: update
