- Change verbose_logger.info() to verbose_logger.debug() for cost calculation messages
- Ensures cost calculation details are only shown when DEBUG logging is enabled
- Reduces log noise in production environments
Part 2/2 of fix for #9815
- Initialize verbose_logger, verbose_proxy_logger, and verbose_router_logger with the correct log level
- Ensures loggers respect the LITELLM_LOG environment variable setting
- Fixes part of issue #9815 where logs were shown regardless of log level setting
Part 1/2 of fix for #9815
* [Bug Fix] Anthropic - Token Usage Null Handling in calculate_usage (BerriAI/litellm#11920)
* [Fix] Missed a null check and used a cast instead by error
- Fix type error where _handle_error was called with provider_config=None
- Add proper provider config retrieval logic similar to llm_passthrough_route
- Handle cases where provider config may not be available
- Ensure type safety while maintaining backward compatibility
* fix(docs): Remove unused dotenv dependency from docusaurus config
The dotenv package was being required in docusaurus.config.js but was listed as
a devDependency, causing build failures. Since no environment variables are
actually used in the config, removed the unnecessary import.
* fix(docs): Remove reference to non-existent spending_monitoring doc
The sidebars.js file was referencing proxy/spending_monitoring which was deleted
in commit ba7463b9c. This was causing the documentation build to fail with missing
document errors.
* feat: initial commit adding bedrock support via the new sdk passthrough logic
ensures correct sequencing of tasks (pre call checks etc. can run before signing request)
* fix(route_llm_requests.py): passthrough to allm_passthrough_route if no model found
* feat(bedrock/passthrough): working bedrock passthrough via sdk support
* fix(passthrough/main.py): re-add data and json
* feat(passthrough/main): support async passthrough calls to bedrock
* feat(passthrough/main.py): async streaming + completion support
* feat(llm_passthrough_endpoints.py): migrate bedrock passthrough calls to to new bedrock passthrough sdk
Enables calls to work correctly
* fix: fix linting errors
* test: update test
* fix(llm_http_handler.py): raise clearer error on anthropic unified route
Fixes https://github.com/BerriAI/litellm/issues/12063
* fix(key_management_endpoints.py): add new param `new_key` for setting the regenerated key value
user request
* test: add unit tests
* fix(pass_through_endpoints.py): use data instead of json for passthrough requests
fixes bedrock latency issue
* Revert "fix(pass_through_endpoints.py): use data instead of json for passthrough requests"
This reverts commit 021dfd9165.
Add reasoning content support when Responses API falls
back to completions API, enabling reasoning content for
all LLM providers (Anthropic, Vertex AI, etc.) since
OpenAI is currently the only native Responses API
provider.
* Add ReasoningSummaryTextDeltaEvent for streaming
reasoning deltas
* Update streaming iterator to detect and transform
reasoning content
* Extract reasoning content as separate output items in
transformations
* Support reasoning content alongside regular message
content
Closes https://github.com/BerriAI/litellm/issues/11302
- Fix date formatting in API calls from ISO format to YYYY-MM-DD
- Update userDailyActivityCall, teamDailyActivityCall, and tagDailyActivityCall
- Prevent date mutation by creating new Date objects before API calls
- Set proper time boundaries (00:00:00 to 23:59:59) for same-day selections
The API expects dates in YYYY-MM-DD format but the UI was sending
full ISO timestamps, causing the Today filter to return empty results.
The test was failing because the managed_files hook was not configured.
This fix adds a DummyManagedFiles class and mocks the create_file
function as an AsyncMock to ensure proper test execution.
* test(test_router.py): initial unit test confirming router.afile_content uses dynamic api key / api base
* fix(managed_files.py): filter deployments for only those within file id mapping
ensure call works - only route to models where the file was written
* fix(proxy_server.py): fix loading in model ids from config, if config id is int
* fix(router.py): return all model file id mappings on create_file
if multiple deployments - this ensures all the file id mappings are bubbled up
Fixes issue when trying to use loadbalanced deployments - only 1 file id mapping was being stored
* feat(router_utils/common_utils.py): filter models by team id when selecting for routing
Prevents team only models from being used by other teams
* fix(common_utils.py): additional fixes around filtering team-based models
* fix(batches_endpoints/endpoints): support list batches with target model names specified
* fix(common_utils.py): more testing for team deployment filters
* test(test_router.py): initial unit test confirming router.afile_content uses dynamic api key / api base
* fix(managed_files.py): filter deployments for only those within file id mapping
ensure call works - only route to models where the file was written
* fix(proxy_server.py): fix loading in model ids from config, if config id is int
* fix(router.py): return all model file id mappings on create_file
if multiple deployments - this ensures all the file id mappings are bubbled up
Fixes issue when trying to use loadbalanced deployments - only 1 file id mapping was being stored
* init litellm google gen ai methods
* feat init structure of functions for generate content
* add init
* add BaseGoogleGenAIGenerateContentConfig
* add generate_content_handler
* add get_provider_google_genai_generate_content_config
* fixes for generate content
* add get_vertex_ai_project etc to base
* use VertexBase
* fixes for BaseGoogleGenAIGenerateContentConfig
* working validate env for google gemini
* feat - add transform google response
* fixes for transform_generate_content_request
* fix get_supported_generate_content_optional_params
* add BaseGoogleGenAITest
* working e2e test
* fixes init config
* use correct types
* fix test for google gen ai
* fix types
* add sync_get_auth_token_and_url
* fixes for transform
* add llm http handler for google
* working non-streaming google endpoints
* add BaseGoogleGenAIGenerateContentStreamingIterator
* add GoogleGenAIGenerateContentStreamingIterator
* fix working sync stream
* fixes for litellm logging obj
* working async streaming
* add google gen ai types
* fix - required imports
* fix readme
* fix deps
* fix deps
* fix ruff code QA checks
* fix linting
* fixes TYPE_CHECKING
* fixes for typing
* add google gemini methods to litellm router
* [Feat] Add initial endpoints for using Gemini SDK (gemini-cli) with LiteLLM (#12040)
* init with google endpoints
* add Depends
* feat - add gemini endpoints
* google_generate_content
* fix init
* fixes import
* fixes for streaming
* fixes for sync/async
* working streaming with google gemini cli
* add google endpoints to llm api routes
* add VertexAIGoogleGenAIConfig
* use aiter_bytes
* use common request for streaming data
* re-use logic for anthropic streaming
* add GoogleAIStudioDataGenerator
* init litellm google gen ai methods
* feat init structure of functions for generate content
* add init
* add BaseGoogleGenAIGenerateContentConfig
* add generate_content_handler
* add get_provider_google_genai_generate_content_config
* fixes for generate content
* add get_vertex_ai_project etc to base
* use VertexBase
* fixes for BaseGoogleGenAIGenerateContentConfig
* working validate env for google gemini
* feat - add transform google response
* fixes for transform_generate_content_request
* fix get_supported_generate_content_optional_params
* add BaseGoogleGenAITest
* working e2e test
* fixes init config
* use correct types
* fix test for google gen ai
* fix types
* add sync_get_auth_token_and_url
* fixes for transform
* add llm http handler for google
* working non-streaming google endpoints
* add BaseGoogleGenAIGenerateContentStreamingIterator
* add GoogleGenAIGenerateContentStreamingIterator
* fix working sync stream
* fixes for litellm logging obj
* working async streaming
* add google gen ai types
* fix - required imports
* fix readme
* fix deps
* fix deps
* fix ruff code QA checks
* fix linting
* fixes TYPE_CHECKING
* fixes for typing
