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3 commits

Author SHA1 Message Date
Krish Dholakia
539f166166
Support budget/rate limit tiers for keys (#7429)
* 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>
2024-12-26 19:05:27 -08:00
Krish Dholakia
516c2a6a70
Litellm remove circular imports (#7232)
* fix(utils.py): initial commit to remove circular imports - moves llmproviders to utils.py

* fix(router.py): fix 'litellm.EmbeddingResponse' import from router.py

'

* refactor: fix litellm.ModelResponse import on pass through endpoints

* refactor(litellm_logging.py): fix circular import for custom callbacks literal

* fix(factory.py): fix circular imports inside prompt factory

* fix(cost_calculator.py): fix circular import for 'litellm.Usage'

* fix(proxy_server.py): fix potential circular import with `litellm.Router'

* fix(proxy/utils.py): fix potential circular import in `litellm.Router`

* fix: remove circular imports in 'auth_checks' and 'guardrails/'

* fix(prompt_injection_detection.py): fix router impor t

* fix(vertex_passthrough_logging_handler.py): fix potential circular imports in vertex pass through

* fix(anthropic_pass_through_logging_handler.py): fix potential circular imports

* fix(slack_alerting.py-+-ollama_chat.py): fix modelresponse import

* fix(base.py): fix potential circular import

* fix(handler.py): fix potential circular ref in codestral + cohere handler's

* fix(azure.py): fix potential circular imports

* fix(gpt_transformation.py): fix modelresponse import

* fix(litellm_logging.py): add logging base class - simplify typing

makes it easy for other files to type check the logging obj without introducing circular imports

* fix(azure_ai/embed): fix potential circular import on handler.py

* fix(databricks/): fix potential circular imports in databricks/

* fix(vertex_ai/): fix potential circular imports on vertex ai embeddings

* fix(vertex_ai/image_gen): fix import

* fix(watsonx-+-bedrock): cleanup imports

* refactor(anthropic-pass-through-+-petals): cleanup imports

* refactor(huggingface/): cleanup imports

* fix(ollama-+-clarifai): cleanup circular imports

* fix(openai_like/): fix impor t

* fix(openai_like/): fix embedding handler

cleanup imports

* refactor(openai.py): cleanup imports

* fix(sagemaker/transformation.py): fix import

* ci(config.yml): add circular import test to ci/cd
2024-12-14 16:28:34 -08:00
Krish Dholakia
689cd677c6
Litellm dev 11 20 2024 (#6831)
* feat(customer_endpoints.py): support passing budget duration via `/customer/new` endpoint

Closes https://github.com/BerriAI/litellm/issues/5651

* docs: add missing params to swagger + api documentation test

* docs: add documentation for all key endpoints

documents all params on swagger

* docs(internal_user_endpoints.py): document all /user/new params

Ensures all params are documented

* docs(team_endpoints.py): add missing documentation for team endpoints

Ensures 100% param documentation on swagger

* docs(organization_endpoints.py): document all org params

Adds documentation for all params in org endpoint

* docs(customer_endpoints.py): add coverage for all params on /customer endpoints

ensures all /customer/* params are documented

* ci(config.yml): add endpoint doc testing to ci/cd

* fix: fix internal_user_endpoints.py

* fix(internal_user_endpoints.py): support 'duration' param

* fix(partner_models/main.py): fix anthropic re-raise exception on vertex

* fix: fix pydantic obj
2024-11-21 04:06:06 +05:30