Commit graph

115 commits

Author SHA1 Message Date
user
abbefccad4
fix(guardrails): align banned_keywords + azure_content_safety call_type gates with runtime route_type
The hooks gated on ``call_type == "completion"`` but the proxy ingress
passes ``route_type`` straight through as ``call_type`` —
``"acompletion"`` for /v1/chat/completions and ``"aresponses"`` for
/v1/responses. Tests passed because they used the literal sync
``"completion"`` value, masking the gap.

Switch both hooks to ``is_text_content_call_type`` (matches the
canonical runtime values: completion / acompletion / aresponses) and
update existing tests to assert against runtime values, plus parametrize
a regression test that pins the gate.
2026-05-04 21:27:24 +00:00
user
f909fa79b5 fix(guardrails): close post-call coverage gaps 2026-05-01 19:26:40 -07:00
user
7514bb4740
fix(guardrails): close mixed-list gap, drop dead code, rename helper
Greptile P2 follow-ups on _content_utils.py:

- Drop unreachable ``_resolve_messages``. The new
  ``_iter_inspection_messages`` walks ``messages`` AND ``input``
  independently; leaving the old fallback-only variant around invited a
  future maintainer to wire it back up and silently narrow coverage.
- Rename ``iter_user_text`` → ``iter_message_text``. The helper walks
  every role (user, assistant, system); the old name implied user-turn
  content only. Callers and tests updated.
- Close mixed-list coverage gap. When ``data["input"]`` was a list
  mixing content-part dicts and bare strings, ``iter_message_text`` and
  ``build_inspection_messages`` only saw the dict parts while
  ``walk_user_text`` already inspected both. ``_iter_text_parts_in_content``
  now treats bare strings inside a content list as text fragments, so
  read and write helpers agree on coverage.

Adds two regression tests for the mixed-list shape.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 04:10:04 +00:00
user
b1b00e4bdc
chore(guardrails): cover multimodal + Responses-API content shapes
Several guardrail hooks short-circuit when ``message.content`` is a list
or when the request uses the Responses-API ``input`` field instead of
``messages``. Centralise the content-walking logic in a shared helper and
update the affected hooks so list-format and Responses-API payloads no
longer skip inspection.

Also: Aim's ``async_post_call_success_hook`` now inspects every choice
(via ``asyncio.gather``) instead of only ``choices[0]`` — the prior
behaviour let ``n>1`` callers hide content in subsequent completions.

Hooks updated to use the new helper:
- aim, lakera_ai_v2, lasso (post a synthesised messages list to a remote
  guardrail service)
- azure_content_safety, ibm_detector, banned_keywords, openai_moderation,
  google_text_moderation (iterate text fragments locally)
- secret_detection (walk-and-rewrite to redact in place)

Drive-by fix: the legacy ``data["prompt"]`` list-handling path in
secret_detection rebound the loop variable instead of mutating the list,
leaving secrets unredacted on text-completion calls; corrected to index
back into the list.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 03:50:15 +00:00
Sameer Kankute
be69ba270e Add using managed vector store creds for vector store files endpoint 2026-02-13 10:33:49 +05:30
Sameer Kankute
26c0624fd7 Add managed vector store hooks 2026-02-13 10:03:31 +05:30
Krish Dholakia
06906534b3
feat(audio_transcriptions/): calculate duration of audio file for cost calculation + feat (image_generations): cost tracking accuracy improved with output_format, quality, size values fixed per openai model
* feat(audio_transcriptions/): calculate duration of audio file for cost calculation

Fixes https://github.com/BerriAI/litellm/issues/11846

Closes https://github.com/BerriAI/litellm/issues/14605

* fix(cost_calculator.py): correctly use base model, when set

Fixes issue where azure base model was being ignored

* feat(cost_calculator.py): fix default cost tracking quality param for image generation

* feat(image_generations/): return output_format, quality, size

aligns response to openai spec and improves cost tracking accuracy

* fix(cost_calculator.py): refactor cost calculation for image generation to use image response instead of hidden params

* build: update build

* fix: fix cost calculation

* build: update poetry lock

* fix: fix ruff checks

* fix: fix aembedding

* fix: fix ruff errors

* fix: modify to catch errors

* fix: test

* fix: loosen test to handle openai lib out of sync

* fix: fix base models

* fix: fix usage object
2025-11-08 16:24:31 -08:00
Krish Dholakia
202eaeb1a2
Revert "(feat) Audio transcription - cost tracking + (feat) image generation …" (#16409)
This reverts commit c96da44265.
2025-11-08 15:38:16 -08:00
Krish Dholakia
c96da44265
(feat) Audio transcription - cost tracking + (feat) image generation - accurate cost tracking based on output_format/quality/size
* feat(audio_transcriptions/): calculate duration of audio file for cost calculation

Fixes https://github.com/BerriAI/litellm/issues/11846

Closes https://github.com/BerriAI/litellm/issues/14605

* fix(cost_calculator.py): correctly use base model, when set

Fixes issue where azure base model was being ignored

* feat(cost_calculator.py): fix default cost tracking quality param for image generation

* feat(image_generations/): return output_format, quality, size

aligns response to openai spec and improves cost tracking accuracy

* fix(cost_calculator.py): refactor cost calculation for image generation to use image response instead of hidden params

* build: update build

* fix: fix cost calculation

* build: update poetry lock

* fix: fix ruff checks

* fix: fix aembedding

* fix: fix ruff errors

* fix: modify to catch errors

* fix: test

* fix: loosen test to handle openai lib out of sync
2025-11-08 15:30:46 -08:00
Ishaan Jaffer
0a1fc0eeb2 Revert "fix: fix ruff errors"
This reverts commit eef864360e.
2025-11-08 14:33:51 -08:00
Krrish Dholakia
eef864360e fix: fix ruff errors 2025-11-08 14:15:12 -08:00
Ishaan Jaff
cea318330e
[Feat] Add Guardrails for /v1/messages and /v1/responses API (#15686)
* add get_guardrails_messages_for_call_type

* fix call type for /messages

* add anthropic endpoints

* fix bedrock guardrails

* fix config.yaml

* fix types

* fix async_pre_call_hook

* ruff fix

* fix guard

* fix test bedrock guardrail

* fix linting

* fix linting

* docs guardrails

* fix mypy linting
2025-10-17 18:09:00 -07:00
Jugal D. Bhatt
900c7f45c0
[MCP Gateway] Litellm mcp pre and during guardrails (#13188)
* add guardrail support

* add guardrail support

* guardrails for MCP

* added changes

* add mcp guardrails

* added test

* add ui

* fix guardrail form

* working with cursor

* remvoe print

* fix mcp servertests

* fix mypy and remove console logs

* fix mypy and remove console logs

* fix mypy tests
2025-08-01 20:02:25 -07:00
Ishaan Jaff
57b0b4edf3
[Bug fix] [Bug]: Verbose log is enabled by default (#12596)
* test find_set_verbose_assignments

* fix set verbose

* test set verbose

* fix unused import
2025-07-14 20:06:16 -07:00
Krrish Dholakia
c3857e60f2 Store batch output file id in DB + Store batch file status in DB + (experimental) BATCH API COST TRACKING 2025-06-25 22:41:22 -07:00
Krish Dholakia
e2f6fb2d7c
Managed Files + Batches - filter deployments to only those where file was written + save all model file id mappings in DB (prev just 1st one) (#12048)
* 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
2025-06-25 21:27:06 -07:00
Ishaan Jaff
7fcbb38d91
[Fix] Responses API - Session management (#11254)
* fix: import session handling

* fix: imports for session handler

* tests: tests for session handler

* Update enterprise/litellm_enterprise/enterprise_callbacks/session_handler.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-05-29 20:36:02 -07:00
Ishaan Jaff
0d4c85c419 Revert "fix: import session handling"
This reverts commit deb257dc10.
2025-05-29 17:54:24 -07:00
Ishaan Jaff
deb257dc10 fix: import session handling 2025-05-29 17:48:34 -07:00
Krrish Dholakia
ed02488daf style: cleanup prints in enterprise 2025-05-24 11:29:15 -07:00
Krish Dholakia
e9b7059af4
Litellm add file validation (#11081)
* 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
2025-05-22 23:05:45 -07:00
Krish Dholakia
70f32154c5
Litellm managed file updates combined (#11040)
* 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
2025-05-22 17:20:41 -07:00
Krish Dholakia
58f958f30a
Litellm dev 05 21 2025 p2 (#11039)
* 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
2025-05-21 21:40:53 -07:00
Krish Dholakia
6cfb6e5253
Litellm dev 05 19 2025 p3 (#10965)
* 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
2025-05-19 20:49:21 -07:00
Krrish Dholakia
9ae4185e6d fix: cleanup print 2025-05-13 11:57:26 -07:00
Ishaan Jaff
3130c4f8f9
[Refactor] Move LLM Guard, Secret Detection to Enterprise Pip packagea (#10782)
* refactor: move guardrails to pip

* refactor: move guardrails to pip

* testing fix: move guardrails to pip

* git commit setup_litellm_enterprise_pip
2025-05-13 09:42:22 -07:00
Krish Dholakia
8a8dc7ceda
Litellm Unified File ID output file id support (#10713)
* 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

* feat(managed_files.py): support unified output file id

enables batch output file id to be used to retrieve the actual file

* fix(managed_files.py): attempt to fix ci/cd linting error

* fix: fix ruff check
2025-05-10 11:02:09 -07:00
Krish Dholakia
9bfd3e4819
fix(router.py): write file to all deployments (#10708)
* 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
2025-05-10 00:08:30 -07:00
Krish Dholakia
b8b78f1fde
Support unified file id (managed files) for batches (#10650)
* 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
2025-05-07 23:39:40 -07:00
Krish Dholakia
552b7e4013
Add customer + model per key level multi-instance tpm/rpm limiting (#10518)
* fix(redis_cache.py): handle multiple event loops

* fix(parallel_request_limiter_v2.py): add customer tpm limiting

* fix(parallel_request_limiter.py): add customer rpm limiting

* fix(parallel_request_limiter_v2.py): add model per key + customer tpm/rpm limiting

* fix(parallel_request_limiter_v2.py): make error more informative

* fix: fix ruff error

* fix: generate new poetry lock
2025-05-03 10:28:55 -07:00
Krish Dholakia
132bdb1380
Add user + team based multi-instance rate limiting (#10497)
* fix(parallel_request_limiter_v2.py): add user multi-instance rate limiting

* fix(parallel_request_limiter_v2.py): add user multi-instance rpm limiting

* fix(parallel_request_limiter_v2.py): add team based multi-instance rate limiting
2025-05-01 22:09:26 -07:00
Krish Dholakia
711601e22a
Add key-level multi-instance tpm/rpm/max parallel request limiting (#10458)
* 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
2025-04-30 21:32:31 -07:00
Ishaan Jaff
c2f7d7b185 fix linting errors 2025-04-26 19:34:37 -07:00
Ishaan Jaff
1e0ee22445 fix build from pip tests 2025-04-26 19:05:28 -07:00
Ishaan Jaff
331e784db4
[Feat] Responses API - Add session management support for non-openai models (#10321)
* add session id in spendLogs

* fix log proxy server request as independant field

* use trace id for SpendLogs

* add _ENTERPRISE_ResponsesSessionHandler

* use _ENTERPRISE_ResponsesSessionHandler

* working session_ids

* working session management

* working session_ids

* test_async_gcs_pub_sub_v1

* test_spend_logs_payload_e2e

* working session_ids

* test_get_standard_logging_payload_trace_id

* test_get_standard_logging_payload_trace_id

* test_gcs_pub_sub.py

* fix all linting errors

* test_spend_logs_payload_with_prompts_enabled

* _ENTERPRISE_ResponsesSessionHandler

* _ENTERPRISE_ResponsesSessionHandler

* expose session id on ui

* get spend logs by session

* add sessionSpendLogsCall

* add session handling

* session logs

* ui session details

* fix on rowExpandDetails

* ui working sessions
2025-04-25 23:24:24 -07:00
Krish Dholakia
9b7ebb6a7d
build(pyproject.toml): add new dev dependencies - for type checking (#9631)
* build(pyproject.toml): add new dev dependencies - for type checking

* build: reformat files to fit black

* ci: reformat to fit black

* ci(test-litellm.yml): make tests run clear

* build(pyproject.toml): add ruff

* fix: fix ruff checks

* build(mypy/): fix mypy linting errors

* fix(hashicorp_secret_manager.py): fix passing cert for tls auth

* build(mypy/): resolve all mypy errors

* test: update test

* fix: fix black formatting

* build(pre-commit-config.yaml): use poetry run black

* fix(proxy_server.py): fix linting error

* fix: fix ruff safe representation error
2025-03-29 11:02:13 -07:00
Ishaan Jaff
ed68ad7775 fix linting 2025-03-12 18:44:51 -07:00
Ishaan Jaff
a28ac57233 fix linting error 2025-03-12 18:42:42 -07:00
Ishaan Jaff
c7f14e936a
(code quality) run ruff rule to ban unused imports (#7313)
* remove unused imports

* fix AmazonConverseConfig

* fix test

* fix import

* ruff check fixes

* test fixes

* fix testing

* fix imports
2024-12-19 12:33:42 -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
Ishaan Jaff
4d1b4beb3d
(refactor) caching use LLMCachingHandler for async_get_cache and set_cache (#6208)
* use folder for caching

* fix importing caching

* fix clickhouse pyright

* fix linting

* fix correctly pass kwargs and args

* fix test case for embedding

* fix linting

* fix embedding caching logic

* fix refactor handle utils.py

* fix test_embedding_caching_azure_individual_items_reordered
2024-10-14 16:34:01 +05:30
Krish Dholakia
fac3b2ee42
Add pyright to ci/cd + Fix remaining type-checking errors (#6082)
* fix: fix type-checking errors

* fix: fix additional type-checking errors

* fix: additional type-checking error fixes

* fix: fix additional type-checking errors

* fix: additional type-check fixes

* fix: fix all type-checking errors + add pyright to ci/cd

* fix: fix incorrect import

* ci(config.yml): use mypy on ci/cd

* fix: fix type-checking errors in utils.py

* fix: fix all type-checking errors on main.py

* fix: fix mypy linting errors

* fix(anthropic/cost_calculator.py): fix linting errors

* fix: fix mypy linting errors

* fix: fix linting errors
2024-10-05 17:04:00 -04:00
Krish Dholakia
d57be47b0f
Litellm ruff linting enforcement (#5992)
* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check
2024-10-01 19:44:20 -04:00
Krish Dholakia
98c335acd0
LiteLLM Minor Fixes & Improvements (09/17/2024) (#5742)
* fix(proxy_server.py): use default azure credentials to support azure non-client secret kms

* fix(langsmith.py): raise error if credentials missing

* feat(langsmith.py): support error logging for langsmith + standard logging payload

Fixes https://github.com/BerriAI/litellm/issues/5738

* Fix hardcoding of schema in view check (#5749)

* fix - deal with case when check view exists returns None (#5740)

* Revert "fix - deal with case when check view exists returns None (#5740)" (#5741)

This reverts commit 535228159b.

* test(test_router_debug_logs.py): move to mock response

* Fix hardcoding of schema

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>

* fix(proxy_server.py): allow admin to disable ui via `DISABLE_ADMIN_UI` flag

* fix(router.py): fix default model name value

Fixes 55db19a1e4 (r1763712148)

* fix(utils.py): fix unbound variable error

* feat(rerank/main.py): add azure ai rerank endpoints

Closes https://github.com/BerriAI/litellm/issues/5667

* feat(secret_detection.py): Allow configuring secret detection params

Allows admin to control what plugins to run for secret detection. Prevents overzealous secret detection.

* docs(secret_detection.md): add secret detection guardrail docs

* fix: fix linting errors

* fix - deal with case when check view exists returns None (#5740)

* Revert "fix - deal with case when check view exists returns None (#5740)" (#5741)

This reverts commit 535228159b.

* Litellm fix router testing (#5748)

* test: fix testing - azure changed content policy error logic

* test: fix tests to use mock responses

* test(test_image_generation.py): handle api instability

* test(test_image_generation.py): handle azure api instability

* fix(utils.py): fix unbounded variable error

* fix(utils.py): fix unbounded variable error

* test: refactor test to use mock response

* test: mark flaky azure tests

* Bump next from 14.1.1 to 14.2.10 in /ui/litellm-dashboard (#5753)

Bumps [next](https://github.com/vercel/next.js) from 14.1.1 to 14.2.10.
- [Release notes](https://github.com/vercel/next.js/releases)
- [Changelog](https://github.com/vercel/next.js/blob/canary/release.js)
- [Commits](https://github.com/vercel/next.js/compare/v14.1.1...v14.2.10)

---
updated-dependencies:
- dependency-name: next
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* [Fix] o1-mini causes pydantic warnings on `reasoning_tokens`  (#5754)

* add requester_metadata in standard logging payload

* log requester_metadata in metadata

* use StandardLoggingPayload for logging

* docs StandardLoggingPayload

* fix import

* include standard logging object in failure

* add test for requester metadata

* handle completion_tokens_details

* add test for completion_tokens_details

* [Feat-Proxy-DataDog] Log Redis, Postgres Failure events on DataDog  (#5750)

* dd - start tracking redis status on dd

* add async_service_succes_hook / failure hook in custom logger

* add async_service_failure_hook

* log service failures on dd

* fix import error

* add test for redis errors / warning

* [Fix] Router/ Proxy - Tag Based routing, raise correct error when no deployments found and tag filtering is on  (#5745)

* fix tag routing - raise correct error when no model with tag based routing

* fix error string from tag based routing

* test router tag based routing

* raise 401 error when no tags avialable for deploymen

* linting fix

* [Feat] Log Request metadata on gcs bucket logging (#5743)

* add requester_metadata in standard logging payload

* log requester_metadata in metadata

* use StandardLoggingPayload for logging

* docs StandardLoggingPayload

* fix import

* include standard logging object in failure

* add test for requester metadata

* fix(litellm_logging.py): fix logging message

* fix(rerank_api/main.py): fix linting errors

* fix(custom_guardrails.py): maintain backwards compatibility for older guardrails

* fix(rerank_api/main.py): fix cost tracking for rerank endpoints

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: steffen-sbt <148480574+steffen-sbt@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-09-17 23:00:04 -07:00
Ishaan Jaff
b6ae2204a8
[Feat-Proxy] Slack Alerting - allow using os.environ/ vars for alert to webhook url (#5726)
* allow using os.environ for slack urls

* use env vars for webhook urls

* fix types for get_secret

* fix linting

* fix linting

* fix linting

* linting fixes

* linting fix

* docs alerting slack

* fix get data
2024-09-16 18:03:37 -07:00
Ishaan Jaff
0f154abf9e use get_async_httpx_client for logging httpx 2024-09-10 13:03:55 -07:00
Ishaan Jaff
1a142053e5 fix make lakera ai free guardrail 2024-08-20 14:03:22 -07:00
Ishaan Jaff
cad0352f76 rename lakera ai 2024-08-20 13:44:39 -07:00
Ishaan Jaff
042350bd74 rename Aporia Guardrail 2024-08-20 13:42:55 -07:00
Ishaan Jaff
0431600f7b add testing for aporia guardrails 2024-08-19 18:50:14 -07:00