* fix(initial-commit): adding a way to get the right response type based on the api route
* feat(unified_guardrail.py): support streaming guardrails
* test: update tests
* fix: fix linting errors
* test: update tests
* Add v1 cut of container api
* fix lint errors
* Add proxy support to container apis & logging support (#16049)
* Add proxy support to container apis
* Add logging support
* Add cost tracking support for containers and documentation
* Add new constant documentation
* Add container cost in model map
* fix failing azure tests
* Update tests based on model map changes
* fix model map tests
* fix model map tests
* Container modeshould be container
* Container tests fix
* Merge branch 'main' into litellm_sameer_oct_staging_2
* Add Prometheus metric to track callback logging failures in S3 (#16102)
* Add proxy support to container apis
* Add logging support
* prometheus metric measures how often s3_v2 is failing
* remove not needed files
* remove not needed files
* remove not needed files
* fix mypy errors
* Use logging_callback_manager to get all the callbacks
---------
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
* fix: use fastuuid helper across the codebase
First batch of changes, simple drop in replacement.
* second batch of changes
* fixed: script mistake on helper file
* Fix - add safe divide by 0 for most places to prevent crash
* mock prisma client
* Revert "Fix - add safe divide by 0 for most places to prevent crash"
This reverts commit 265d40e39051e148996b9fb7f354730c57ff23ac.
* (#11794) use upsert for managed object table rather than create to avoid UniqueViolationError
* (#11794) use upsert for managed object table rather than create to avoid UniqueViolationError
* feat(route_checks.py): allow admin to disable proxy management endpoints on instance
useful for preventing multiple instances from doing admin actions
* docs(scaling_multiple_instances.md): add architecture doc on scaling multiple litellm instances
provide guidance on scaling proxy
* docs(scaling_multiple_instances.md): add doc on scaling across multiple regions for litellm
* fix(route_checks.py): allow disabling llm api endpoints on an instance
allows pure admin instance to exist
* refactor(enterprise/route_checks.py): refactor env var checks
* refactor: finish refactoring
* docs(control_plane_and_data_plane.md): refactor docs
* test: update tests
* feat(custom_guardrail.py): allow admin to run guardrails on specific modes based on request tags
Enables pre-call checks for openwebui but logging for claude code guardrails
* refactor(custom_guardrail.py): move tag based mode to enterprise
* test(test_custom_guardrail.py): update test
* feat(quick_start.md): add doc on tag-based guardrail mode
* docs(quick_start.md): cleanup doc
* docs: cleanup
* docs(openweb_ui.md): add tutorial to doc
* fix(custom_guardrail.py): ensure user is premium user
* test: update test
* 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(enterprise/): fix remaining users check on license
* fix(usage_indicator.tsx): if no max user set, don't render remaining user info card
only for users with user limits on their license
* fix(leftnav.tsx): only show remaining users to admin
* feat(columns.tsx): don't allow sorting on model access groups
it's a list[str]
* feat(model_dashboard.tsx): add model access group filters
* feat(audit_logging_endpoints.py): expose list endpoint to show all audit logs
make it easier for user to retrieve individual endpoints
* feat(enterprise/): add audit logging endpoint
* feat(audit_logging_endpoints.py): expose new GET `/audit/{id}` endpoint
make it easier to retrieve view individual audit logs
* feat(key_management_event_hooks.py): correctly show the key of the user who initiated the change
* fix(key_management_event_hooks.py): add key rotations as an audit log event
'
* test(test_audit_logging_endpoints.py): add simple unit testing for audit log endpoint
* fix: testing fixes
* fix: fix ruff check
* fix: cleanup print statement
* feat(managed_files.py): add auth check on managed files
Implemented for file retrieve + delete calls
* feat(files_endpoints.py): support returning files by model name
enables managed file support
* feat(managed_files/): filter list of files by the ones created by user
prevents user from seeing another file
* test: update test
* fix(files_endpoints.py): list_files - always default to provider based routing
* build: add new table to prisma schema
* Add LiteLLM Managed file support for `retrieve`, `list` and `cancel` finetuning jobs (#11033)
* feat: initial commit adding managed file support to fine tuning endpoints
* feat(fine_tuning/endpoints.py): working call to openai finetuning route
Uses litellm managed files for finetuning api support
* feat(fine-tuning/main.py): refactor to use LiteLLMFineTuningJob pydantic object
includes 'hidden_params'
* fix: initial commit adding unified finetuning id support
return a unified finetuning id we can use to understand which deployment to route the ft request to
* test: fix test
* feat(managed_files.py): return unified finetuning job id on create finetuning job
enables retrieve, delete to work with litellm managed files
* feat(managed_files.py): support managed files for cancel ft job endpoint
* feat(managed_files.py): support managed files for cancel ft job endpoint
* feat(fine_tuning_endpoints/endpoints.py): add managed files support to list finetuning jobs
* feat(finetuning_endpoints/main): add managed files support for retrieving ft job
Makes it easier to control permissions for ft endpoint
* LiteLLM Managed Files - Enforce validation check if user can access finetuning job (#11034)
* feat: initial commit adding managed file support to fine tuning endpoints
* feat(fine_tuning/endpoints.py): working call to openai finetuning route
Uses litellm managed files for finetuning api support
* feat(fine-tuning/main.py): refactor to use LiteLLMFineTuningJob pydantic object
includes 'hidden_params'
* fix: initial commit adding unified finetuning id support
return a unified finetuning id we can use to understand which deployment to route the ft request to
* test: fix test
* feat(managed_files.py): return unified finetuning job id on create finetuning job
enables retrieve, delete to work with litellm managed files
* feat(managed_files.py): support managed files for cancel ft job endpoint
* feat(managed_files.py): support managed files for cancel ft job endpoint
* feat(fine_tuning_endpoints/endpoints.py): add managed files support to list finetuning jobs
* feat(finetuning_endpoints/main): add managed files support for retrieving ft job
Makes it easier to control permissions for ft endpoint
* feat(managed_files.py): store create fine-tune / batch response object in db
storing this allows us to filter files returned on list based on what user created
* feat(managed_files.py): Ensures users can't retrieve / modify each others jobs
* fix: fix check
* fix: fix ruff check errors
* test: update to handle testing
* fix: suppress linting warning - openai 'seed' is none on azure
* test: update tests
* test: update test
* feat: initial commit adding managed file support to fine tuning endpoints
* feat(fine_tuning/endpoints.py): working call to openai finetuning route
Uses litellm managed files for finetuning api support
* feat(fine-tuning/main.py): refactor to use LiteLLMFineTuningJob pydantic object
includes 'hidden_params'
* fix: initial commit adding unified finetuning id support
return a unified finetuning id we can use to understand which deployment to route the ft request to
* test: fix test
* feat(managed_files.py): return unified finetuning job id on create finetuning job
enables retrieve, delete to work with litellm managed files
* test: update test
* fix: fix linting error
* fix: fix ruff linting error
* test: fix check
* feat(model_info_view.tsx): enable updating model info for existing models on UI
Fixes LIT-154
* fix(model_info_view.tsx): instantly show model info updates on UI
* feat(proxy_server.py): enable flag on `/models` to include model access groups
This enables admin to assign model access groups to keys/teams on UI
* feat(ui/): add model access groups on ui dropdown when creating teams + keys
* refactor(parallel_request_limiter_v2.py): Migrate multi instance rate limiting to OSS
Closes https://github.com/BerriAI/litellm/issues/10052
* fix(router.py): write file to all deployments
allows unified file id to work across multiple deployments
* fix(view_logs/index.tsx): show call type in request logs
* fix(router.py): pass a deep copy of kwargs to avoid conflict across multiple runs
* fix(batch_utils.py): broaden check
* fix(router_utils.py): handle null type for function name
* fix(proxy_track_cost_callback.py): fix ruff check error
* fix(router.py): handle healthy_deployments as a dict
* feat(managed_files.py): support encoding / decoding unified batch id … (#10711)
* feat(managed_files.py): support encoding / decoding unified batch id when using managed files
allows routing retrieve batch to the right model id
* fix: fix linting error
* test: add unit tests
* fix: fix ruff check
* refactor(managed_files.py): move enterprise feature into enterprise folder
prevent unexpected surprises
* refactor: safely handle enterprise hooks
* fix: fix ruff check errors
* fix(files_endpoints.py): cleanup enterprise code from OSS
* refactor: complete cleanup
* fix(managed_files.py): complete cleanup
* fix(managed_files.py): instrument to be able to update deployment values post-router selection and just before making llm call
* fix(managed_files.py): instrument to be able to update deployment values post-router selection and just before making llm call
* fix: fix linting error
* fix: fix linting error
* fix: initial commit of v2 parallel request limiter hook
enables multi-instance rate limiting to work
* fix: subsequent commit with additional refactors
* fix(parallel_request_limiter_v2.py): cleanup initial call hook
simplify it
* fix(parallel_request_limiter_v2.py): working v2 parallel request limiter
* fix: more updates - still not passing testing
* fix(test_parallel_request_limiter_v2.py): update test + add conftest
* fix: fix ruff checks
* fix(parallel_request_limiter_v2.py): use pull via pattern method to load in keys instance wouldn't have seen yet
Fixes issue where redis syncing was not pulling key until instance had seen it
* test: update testing to cover tpm and rpm
* fix(parallel_request_limiter_v2.py): fix ruff errors
* fix(proxy/hooks/__init__.py): feature flag export
* fix(proxy/hooks/__init_.py): fix linting error
* ci(config.yml): add tests/enterprise to ci/cd
* fix: fix ruff check
* test: update testing
Krish Dholakia