* docs(sidebar.js): docs for support model access groups for wildcard routes
* feat(key_management_endpoints.py): add check if user is premium_user when adding model access group for wildcard route
* refactor(docs/): make control model access a root-level doc in proxy sidebar
easier to discover how to control model access on litellm
* docs: more cleanup
* feat(fireworks_ai/): add document inlining support
Enables user to call non-vision models with images/pdfs/etc.
* test(test_fireworks_ai_translation.py): add unit testing for fireworks ai transform inline helper util
* docs(docs/): add document inlining details to fireworks ai docs
* feat(fireworks_ai/): allow user to dynamically disable auto add transform inline
allows client-side disabling of this feature for proxy users
* feat(fireworks_ai/): return 'supports_vision' and 'supports_pdf_input' true on all fireworks ai models
now true as fireworks ai supports document inlining
* test: fix tests
* fix(router.py): add unit testing for _is_model_access_group_for_wildcard_route
* feat(deepgram/): initial e2e support for deepgram stt
Uses deepgram's `/listen` endpoint to transcribe speech to text
Closes https://github.com/BerriAI/litellm/issues/4875
* fix: fix linting errors
* test: fix test
* fix(azure_ai/transformation.py): route ai.services.azure calls to the azure provider route
requires token to be passed in as 'api-key'
Closes https://github.com/BerriAI/litellm/issues/7275
* fix(key_management_endpoints.py): enforce user is member of team, if team_id set and team_id exists in team table
* fix(key_management_endpoints.py): handle assigned_user_id = none
* feat(create_key_button.tsx): allow assigning keys to other users
allows proxy admin to easily assign other people keys
* build(create_key_button.tsx): fix error message display
don't swallow the error message for key creation failure
* build(create_key_button.tsx): allow proxy admin to edit team id
* build(create_key_button.tsx): allow proxy admin to assign keys to other users
* build(edit_user.tsx): clarify how 'user budgets' are applied
* test: remove dup test
* fix(key_management_endpoints.py): don't raise error if team not in db
'
* test: fix test
* feat(main.py): mock_response() - support 'litellm.ContextWindowExceededError' in mock response
enabled quicker router/fallback/proxy debug on context window errors
* feat(exception_mapping_utils.py): extract special litellm errors from error str if calling `litellm_proxy/` as provider
Closes https://github.com/BerriAI/litellm/issues/7259
* fix(user_api_key_auth.py): specify 'Received Proxy Server Request' is span kind server
Closes https://github.com/BerriAI/litellm/issues/7298
* Update model_prices_and_context_window.json
add mistral large 2411 and correct a few vertex prices
* Update model_prices_and_context_window.json
correct typo
* init commit ft jobs logging
* add ft logging
* add logging for FineTuningJob
* simple FT Job create test
* simplify Azure fine tuning to use all methods in OAI ft
* update doc string
* add aretrieve_fine_tuning_job
* re use from litellm.proxy.utils import handle_exception_on_proxy
* fix naming
* add /fine_tuning/jobs/{fine_tuning_job_id:path}
* remove unused imports
* update func signature
* run ci/cd again
* ci/cd run again
* fix code qulity
* ci/cd run again
* fix use _update_kwargs_before_fallbacks
* test assert standard_logging_object includes model_group
* test_datadog_non_serializable_messages
* update test
* fix(model_dashboard.tsx): support setting model_info params - e.g. mode on ui
Closes https://github.com/BerriAI/litellm/issues/5270
* fix(lowest_tpm_rpm_v2.py): deployment rpm over limit check
fixes selection error when getting potential deployments below known tpm/rpm limit
Fixes https://github.com/BerriAI/litellm/issues/7395
* fix(test_tpm_rpm_routing_v2.py): add unit test for https://github.com/BerriAI/litellm/issues/7395
* fix(lowest_tpm_rpm_v2.py): fix tpm key name in dict post rpm update
* test: rename test to run earlier
* test: skip flaky test
* build(model_prices_and_context_window.json): update groq models to specify 'supports_vision' parameter
Closes https://github.com/BerriAI/litellm/issues/7433
* docs(groq.md): add groq vision example to docs
Closes https://github.com/BerriAI/litellm/issues/7433
* fix(prometheus.py): refactor self.litellm_proxy_failed_requests_metric to use label factory
* feat(prometheus.py): new 'litellm_proxy_failed_requests_by_tag_metric'
allows tracking failed requests by tag on proxy
* fix(prometheus.py): fix exception logging
* feat(prometheus.py): add new 'litellm_request_total_latency_by_tag_metric'
enables tracking latency by use-case
* feat(prometheus.py): add new llm api latency by tag metric
* feat(prometheus.py): new litellm_deployment_latency_per_output_token_by_tag metric
allows tracking deployment latency by tag
* fix(prometheus.py): refactor 'litellm_requests_metric' to use enum values + label factory
* feat(prometheus.py): new litellm_proxy_total_requests_by_tag metric
allows tracking total requests by tag
* feat(prometheus.py): new metric litellm_deployment_successful_fallbacks_by_tag
allows tracking deployment fallbacks by tag
* fix(prometheus.py): new 'litellm_deployment_failed_fallbacks_by_tag' metric
allows tracking failed fallbacks on deployment by custom tag
* test: fix test
* test: rename test to run earlier
* test: skip flaky test
* feat(proxy/utils.py): get associated litellm budget from db in combined_view for key
allows user to create rate limit tiers and associate those to keys
* feat(proxy/_types.py): update the value of key-level tpm/rpm/model max budget metrics with the associated budget table values if set
allows rate limit tiers to be easily applied to keys
* docs(rate_limit_tiers.md): add doc on setting rate limit / budget tiers
make feature discoverable
* feat(key_management_endpoints.py): return litellm_budget_table value in key generate
make it easy for user to know associated budget on key creation
* fix(key_management_endpoints.py): document 'budget_id' param in `/key/generate`
* docs(key_management_endpoints.py): document budget_id usage
* refactor(budget_management_endpoints.py): refactor budget endpoints into separate file - makes it easier to run documentation testing against it
* docs(test_api_docs.py): add budget endpoints to ci/cd doc test + add missing param info to docs
* fix(customer_endpoints.py): use new pydantic obj name
* docs(user_management_heirarchy.md): add simple doc explaining teams/keys/org/users on litellm
* Litellm dev 12 26 2024 p2 (#7432)
* (Feat) Add logging for `POST v1/fine_tuning/jobs` (#7426)
* init commit ft jobs logging
* add ft logging
* add logging for FineTuningJob
* simple FT Job create test
* (docs) - show all supported Azure OpenAI endpoints in overview (#7428)
* azure batches
* update doc
* docs azure endpoints
* docs endpoints on azure
* docs azure batches api
* docs azure batches api
* fix(key_management_endpoints.py): fix key update to actually work
* test(test_key_management.py): add e2e test asserting ui key update call works
* fix: proxy/_types - fix linting erros
* test: update test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix: test
* fix(parallel_request_limiter.py): enforce tpm/rpm limits on key from tiers
* fix: fix linting errors
* test: fix test
* fix: remove unused import
* test: update test
* docs(customer_endpoints.py): document new model_max_budget param
* test: specify unique key alias
* docs(budget_management_endpoints.py): document new model_max_budget param
* test: fix test
* test: fix tests
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Ishaan Jaff