* feat(create_key_button.tsx): initial commit using openapi.json to ensure all values via api are supported on ui for `/key/generate`
Closes https://github.com/BerriAI/litellm/issues/7763
* style(create_key_button.tsx): put openapi settings inside 'advanced setting' accordion
* fix(check_openapi_schema.tsx): style improvements for advanced settings
* style(create_key_button.tsx): add tooltip explaining what the settings mean
* fix(team_info.tsx): render metadata field on team update
allow updating a team's metadata
* fix(networking.tsx): add 'metadata' field to create team form
* refactor: cleanup dead codeblock
* fix(organization_endpoints.py): fix metadata param support on `/organization/new`
* feat(organization_endpoints.py): support updating metadata for organization on api + ui
* test: mark flaky test
* fix(parallel_request_limiter.py): improve single instance rate limiting by updating in-memory cache instantly
Fixes issue where parallel request limiter had a leak
* fix(parallel_request_limiter.py): fix parallel request limiter to not decrement val on max limit being reached
* test(test_parallel_request_limiter.py): fix test
* test: fix test
* fix(parallel_request_limiter.py): move to using common enum
* test: fix test
* fix(parallel_request_limiter.py): add back parallel request information to max parallel request limiter
Resolves https://github.com/BerriAI/litellm/issues/8392
* test: mark flaky test to handle time based tracking issues
* feat(model_management_endpoints.py): expose new patch `/model/{model_id}/update` endpoint
Allows updating specific values of a model in db - makes it easy for admin to know this by calling it a PA
TCH
* feat(edit_model_modal.tsx): allow user to update llm provider + api key on the ui
* fix: fix linting error
* feat(databricks/chat/transformation.py): add tools and 'tool_choice' param support
Closes https://github.com/BerriAI/litellm/issues/7788
* refactor: cleanup redundant file
* test: mark flaky test
* test: mark all parallel request tests as flaky
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
