* fix(anthropic/chat/transformation.py): Don't set tool choice on response_format conversion when thinking is enabled
Not allowed by Anthropic
Fixes https://github.com/BerriAI/litellm/issues/8901
* refactor: move test to base anthropic chat tests
ensures consistent behaviour across vertex/anthropic/bedrock
* fix(anthropic/chat/transformation.py): if thinking token is specified and max tokens is not - ensure max token to anthropic is higher than thinking tokens
* feat(converse_transformation.py): correctly handle thinking + response format on Bedrock Converse
Fixes https://github.com/BerriAI/litellm/issues/8901
* fix(converse_transformation.py): correctly handle adding max tokens
* test: handle service unavailable error
* feat(bedrock/converse/transformation.py): support claude-3-7-sonnet reasoning_Content transformation
Closes https://github.com/BerriAI/litellm/issues/8777
* fix(bedrock/): support returning `reasoning_content` on streaming for claude-3-7
Resolves https://github.com/BerriAI/litellm/issues/8777
* feat(bedrock/): unify converse reasoning content blocks for consistency across anthropic and bedrock
* fix(anthropic/chat/transformation.py): handle deepseek-style 'reasoning_content' extraction within transformation.py
simpler logic
* feat(bedrock/): fix streaming to return blocks in consistent format
* fix: fix linting error
* test: fix test
* feat(factory.py): fix bedrock thinking block translation on tool calling
allows passing the thinking blocks back to bedrock for tool calling
* fix(types/utils.py): don't exclude provider_specific_fields on model dump
ensures consistent responses
* fix: fix linting errors
* fix(convert_dict_to_response.py): pass reasoning_content on root
* fix: test
* fix(streaming_handler.py): add helper util for setting model id
* fix(streaming_handler.py): fix setting model id on model response stream chunk
* fix(streaming_handler.py): fix linting error
* fix(streaming_handler.py): fix linting error
* fix(types/utils.py): add provider_specific_fields to model stream response
* fix(streaming_handler.py): copy provider specific fields and add them to the root of the streaming response
* fix(streaming_handler.py): fix check
* fix: fix test
* fix(types/utils.py): ensure messages content is always openai compatible
* fix(types/utils.py): fix delta object to always be openai compatible
only introduce new params if variable exists
* test: fix bedrock nova tests
* test: skip flaky test
* test: skip flaky test in ci/cd
* fix(proxy/_types.py): fixes issue where internal user able to escalate their role with ui key
Fixes https://github.com/BerriAI/litellm/issues/8029
* style: cleanup
* test: handle bedrock instability
* feat(bedrock/rerank): infer model region if model given as arn
* test: add unit testing to ensure bedrock region name inferred from arn on rerank
* feat(bedrock/rerank/transformation.py): include search units for bedrock rerank result
Resolves https://github.com/BerriAI/litellm/issues/7258#issuecomment-2671557137
* test(test_bedrock_completion.py): add testing for bedrock cohere rerank
* feat(cost_calculator.py): refactor rerank cost tracking to support bedrock cost tracking
* build(model_prices_and_context_window.json): add amazon.rerank model to model cost map
* fix(cost_calculator.py): bedrock/common_utils.py
get base model from model w/ arn -> handles rerank model
* build(model_prices_and_context_window.json): add bedrock cohere rerank pricing
* feat(bedrock/rerank): migrate bedrock config to basererank config
* Revert "feat(bedrock/rerank): migrate bedrock config to basererank config"
This reverts commit 84fae1f167.
* test: add testing to ensure large doc / queries are correctly counted
* Revert "test: add testing to ensure large doc / queries are correctly counted"
This reverts commit 4337f1657e.
* fix(migrate-jina-ai-to-rerank-config): enables cost tracking
* refactor(jina_ai/): finish migrating jina ai to base rerank config
enables cost tracking
* fix(jina_ai/rerank): e2e jina ai rerank cost tracking
* fix: cleanup dead code
* fix: fix python3.8 compatibility error
* test: fix test
* test: add e2e testing for azure ai rerank
* fix: fix linting error
* test: mark cohere as flaky
* fix(team_endpoints.py): cleanup user <-> team association on team delete
Fixes issue where user table still listed team membership post delete
* test(test_team.py): update e2e test - ensure user/team membership is deleted on team delete
* fix(base_invoke_transformation.py): fix deepseek r1 transformation
remove deepseek name from model url
* test(test_completion.py): assert model route not in url
* feat(base_invoke_transformation.py): infer region name from model arn
prevent errors due to different region name in env var vs. model arn, respect if explicitly set in call though
* test: fix test
* test: skip on internal server error
* initial transform for invoke
* invoke transform_response
* working - able to make request
* working get_complete_url
* working - invoke now runs on llm_http_handler
* fix unused imports
* track litellm overhead ms
* working stream request
* sign_request transform
* sign_request update
* use has_async_custom_stream_wrapper property
* use get_async_custom_stream_wrapper in base llm http handler
* fix make_call in invoke handler
* fix invoke with streaming get_async_custom_stream_wrapper
* working bedrock async streaming with invoke
* fix make call handler for bedrock
* test_all_model_configs
* fix test_bedrock_custom_prompt_template
* sync streaming for bedrock invoke
* fix _add_stream_param_to_request_body
* test_async_text_completion_bedrock
* fix transform_request
* fix get_supported_openai_params
* fix test supports tool choice
* fix test_supports_tool_choice
* add unit test coverage for bedrock invoke transform
* fix location of transformation files
* update import loc
* fix bedrock invoke unit tests
* fix import for max completion tokens
* add support for using llama spec with bedrock
* fix get_bedrock_invoke_provider
* add support for using bedrock provider in mappings
* working request
* test_bedrock_custom_deepseek
* test_bedrock_custom_deepseek
* fix _get_model_id_for_llama_like_model
* test_bedrock_custom_deepseek
* doc DeepSeek-R1-Distill-Llama-70B
* test_bedrock_custom_deepseek
* feat(lowest_tpm_rpm_v2.py): fix redis cache check to use >= instead of >
makes it consistent
* test(test_custom_guardrails.py): add more unit testing on default on guardrails
ensure it runs if user sent guardrail list is empty
* docs(quick_start.md): clarify default on guardrails run even if user guardrails list contains other guardrails
* refactor(litellm_logging.py): refactor no-log to helper util
allows for more consistent behavior
* feat(litellm_logging.py): add event hook to verbose logs
* fix(litellm_logging.py): add unit testing to ensure `litellm.disable_no_log_param` is respected
* docs(logging.md): document how to disable 'no-log' param
* test: fix test to handle feb
* test: cleanup old bedrock model
* fix: fix router check
* docs: cleanup doc
* feat(bedrock/): initial commit adding bedrock/converse_like/<model> route support
allows routing to a converse like endpoint
Resolves https://github.com/BerriAI/litellm/issues/8085
* feat(bedrock/chat/converse_transformation.py): make converse config base config compatible
enables new 'converse_like' route
* feat(converse_transformation.py): enables using the proxy with converse like api endpoint
Resolves https://github.com/BerriAI/litellm/issues/8085
* refactor(factory.py): refactor async bedrock message transformation to use async get request for image url conversion
improve latency of bedrock call
* test(test_bedrock_completion.py): add unit testing to ensure async image url get called for async bedrock call
* refactor(factory.py): refactor bedrock translation to use BedrockImageProcessor
reduces duplicate code
* fix(factory.py): fix bug not allowing pdf's to be processed
* fix(factory.py): fix bedrock converse document understanding with image url
* docs(bedrock.md): clarify all bedrock document types are supported
* refactor: cleanup redundant test + unused imports
* perf: improve perf with reusable clients
* test: fix test
* fix(bedrock/converse_handler.py): fix bedrock region name on async calls
* fix(utils.py): fix split model handling
Fixes bedrock cost calculation when region name is given
* feat(_health_endpoints.py): support health checking datadog integration
Closes https://github.com/BerriAI/litellm/issues/7921
* fix(proxy_server.py): fix get model info when litellm_model_id is set
Fixes https://github.com/BerriAI/litellm/issues/7873
* test(test_models.py): add test to ensure get model info on specific deployment has same value as all model info
Fixes https://github.com/BerriAI/litellm/issues/7873
* fix(usage.tsx): make model analytics free
Fixes @iqballx's feedback
* fix(fix(invoke_handler.py):-fix-bedrock-error-chunk-parsing): return correct bedrock status code and error message if chunk in stream
Improves bedrock stream error handling
* fix(proxy_server.py): fix linting errors
* test(test_auth_checks.py): remove redundant test
* fix(proxy_server.py): fix linting errors
* test: fix flaky test
* test: fix test
* refactor: initial commit for using separate sync vs. async transformation routes for bedrock
ensures no blocking calls e.g. when converting image url to b64
* perf(converse_transformation.py): make bedrock converse transformation async
asyncify's the bedrock message transformation - useful for handling image urls for bedrock
* fix(converse_handler.py): fix logging for async streaming
* style: cleanup unused imports
* fix(factory.py): fix bedrock document url check
Make check more generic - if starts with 'text' or 'application' assume it's a document and let it go through
Fixes https://github.com/BerriAI/litellm/issues/7746
* feat(key_management_endpoints.py): support writing new key alias to aws secret manager - on key rotation
adds rotation endpoint to aws key management hook - allows for rotated litellm virtual keys with new key alias to be written to it
* feat(key_management_event_hooks.py): support rotating keys and updating secret manager
* refactor(base_secret_manager.py): support rotate secret at the base level
since it's just an abstraction function, it's easy to implement at the base manager level
* style: cleanup unused imports
* test: add new test image embedding to base llm unit tests
Addresses https://github.com/BerriAI/litellm/issues/6515
* fix(bedrock/embed/multimodal-embeddings): strip data prefix from image urls for bedrock multimodal embeddings
Fix https://github.com/BerriAI/litellm/issues/6515
* feat: initial commit for fireworks ai audio transcription support
Relevant issue: https://github.com/BerriAI/litellm/issues/7134
* test: initial fireworks ai test
* feat(fireworks_ai/): implemented fireworks ai audio transcription config
* fix(utils.py): register fireworks ai audio transcription config, in config manager
* fix(utils.py): add fireworks ai param translation to 'get_optional_params_transcription'
* refactor(fireworks_ai/): define text completion route with model name handling
moves model name handling to specific fireworks routes, as required by their api
* refactor(fireworks_ai/chat): define transform_Request - allows fixing model if accounts/ is missing
* fix: fix linting errors
* fix: fix linting errors
* fix: fix linting errors
* fix: fix linting errors
* fix(handler.py): fix linting errors
* fix(main.py): fix tgai text completion route
* refactor(together_ai/completion): refactors together ai text completion route to just use provider transform request
* refactor: move test_fine_tuning_api out of local_testing
reduces local testing ci/cd time
* fix(factory.py): skip empty text blocks for bedrock user messages
Fixes https://github.com/BerriAI/litellm/issues/7169
* Add support for Gemini 2.0 GoogleSearch tool (#7257)
* Add support for google_search tool in gemini 2.0
* Add/modify tests
* Fix grounding check
* Remove 2.0 grounding test; exclude experimental model in VERTEX_MODELS_TO_NOT_TEST
* Swap order of tools
* DFix formatting
* fix(get_api_base.py): return api base in streaming response
Fixes https://github.com/BerriAI/litellm/issues/7249
Closes https://github.com/BerriAI/litellm/pull/7250
* fix(cost_calculator.py): only set base model to model if not none
Fixes https://github.com/BerriAI/litellm/issues/7223
* fix(cost_calculator.py): enforce stricter order when picking model for cost calculation
* fix(cost_calculator.py): fix '_select_model_name_for_cost_calc' to return model name with region name prefix if provided
* fix(utils.py): fix 'get_model_info()' to handle edge case where model name starts with custom llm provider AND custom llm provider is given
* fix(cost_calculator.py): handle `custom_llm_provider-` scenario
* fix(cost_calculator.py): e2e working tts cost tracking
ensures initial message is passed in, to cost calculator
* fix(factory.py): suppress linting errors
* fix(cost_calculator.py): strip llm provider from model name after selecting cost calc model
* fix(litellm_logging.py): store initial request in 'input' field + accept base_model to be passed in litellm_params directly
* test: handle none env var value in flaky test
* fix(litellm_logging.py): fix linting errors
---------
Co-authored-by: Sam B <samlingx@gmail.com>
* docs(input.md): document 'extra_headers' param support
* fix: #7239 to move Nova topK parameter to `additionalModelRequestFields` (#7240)
Co-authored-by: Ryan Hoium <rhoium>
---------
Co-authored-by: ryanh-ai <3118399+ryanh-ai@users.noreply.github.com>
* feat(bedrock/): add bedrock converse top k param
Closes https://github.com/BerriAI/litellm/issues/7087
* Fix bedrock empty content error (#7177)
* add resolver
* handle empty content on bedrock with default content
* use existing default message, tests
* Update tests/llm_translation/test_bedrock_completion.py
* fix tests
* Revert "add resolver"
This reverts commit c717e376ee.
* fallback to empty
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix(factory.py): handle empty content blocks in messages
Fixes https://github.com/BerriAI/litellm/issues/7169
* feat(router.py): add stripped model check to model fallback search
if model_name="openai/gpt-3.5-turbo" and fallback=[{"gpt-3.5-turbo"..}] the fallback should just work as expected
* fix: fix linting error
* fix(factory.py): fix linting error
* fix(factory.py): in base case still support skip empty text blocks
---------
Co-authored-by: Engel Nyst <enyst@users.noreply.github.com>
* fix(cost_calculator.py): move to using `.get_model_info()` for cost per token calculations
ensures cost tracking is reliable - handles edge cases of parsing model cost map
* build(model_prices_and_context_window.json): add 'supports_response_schema' for select tgai models
Fixes https://github.com/BerriAI/litellm/pull/7037#discussion_r1872157329
* build(model_prices_and_context_window.json): remove 'pdf input' and 'vision' support from nova micro in model map
Bedrock docs indicate no support for micro - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html
* fix(converse_transformation.py): support amazon nova tool use
* fix(opentelemetry): Add missing LLM request type attribute to spans (#7041)
* feat(opentelemetry): add LLM request type attribute to spans
* lint
* fix: curl usage (#7038)
curl -d, --data <data> is lowercase d
curl -D, --dump-header <filename> is uppercase D
references:
https://curl.se/docs/manpage.html#-dhttps://curl.se/docs/manpage.html#-D
* fix(spend_tracking.py): handle empty 'id' in model response - when creating spend log
Fixes https://github.com/BerriAI/litellm/issues/7023
* fix(streaming_chunk_builder.py): handle initial id being empty string
Fixes https://github.com/BerriAI/litellm/issues/7023
* fix(anthropic_passthrough_logging_handler.py): add end user cost tracking for anthropic pass through endpoint
* docs(pass_through/): refactor docs location + add table on supported features for pass through endpoints
* feat(anthropic_passthrough_logging_handler.py): support end user cost tracking via anthropic sdk
* docs(anthropic_completion.md): add docs on passing end user param for cost tracking on anthropic sdk
* fix(litellm_logging.py): use standard logging payload if present in kwargs
prevent datadog logging error for pass through endpoints
* docs(bedrock.md): add rerank api usage example to docs
* bugfix/change dummy tool name format (#7053)
* fix viewing keys (#7042)
* ui new build
* build(model_prices_and_context_window.json): add bedrock region models to model cost map (#7044)
* bye (#6982)
* (fix) litellm router.aspeech (#6962)
* doc Migrating Databases
* fix aspeech on router
* test_audio_speech_router
* test_audio_speech_router
* docs show supported providers on batches api doc
* change dummy tool name format
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
* fix: fix linting errors
* test: update test
* fix(litellm_logging.py): fix pass through check
* fix(test_otel_logging.py): fix test
* fix(cost_calculator.py): update handling for cost per second
* fix(cost_calculator.py): fix cost check
* test: fix test
* (fix) adding public routes when using custom header (#7045)
* get_api_key_from_custom_header
* add test_get_api_key_from_custom_header
* fix testing use 1 file for test user api key auth
* fix test user api key auth
* test_custom_api_key_header_name
* build: update ui build
---------
Co-authored-by: Doron Kopit <83537683+doronkopit5@users.noreply.github.com>
Co-authored-by: lloydchang <lloydchang@gmail.com>
Co-authored-by: hgulersen <haymigulersen@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
* fix(together_ai/chat): only return response_format + tools for supported models
Fixes https://github.com/BerriAI/litellm/issues/6972
* feat(bedrock/rerank): initial working commit for bedrock rerank api support
Closes https://github.com/BerriAI/litellm/issues/7021
* feat(bedrock/rerank): async bedrock rerank api support
Addresses https://github.com/BerriAI/litellm/issues/7021
* build(model_prices_and_context_window.json): add 'supports_prompt_caching' for bedrock models + cleanup cross-region from model list (duplicate information - lead to inconsistencies )
* docs(json_mode.md): clarify model support for json schema
Closes https://github.com/BerriAI/litellm/issues/6998
* fix(_service_logger.py): handle dd callback in list
ensure failed spend tracking is logged to datadog
* feat(converse_transformation.py): translate from anthropic format to bedrock format
Closes https://github.com/BerriAI/litellm/issues/7030
* fix: fix linting errors
* test: fix test
* fix(key_management_endpoints.py): override metadata field value on update
allow user to override tags
* feat(__init__.py): expose new disable_end_user_cost_tracking_prometheus_only metric
allow disabling end user cost tracking on prometheus - fixes cardinality issue
* fix(litellm_pre_call_utils.py): add key/team level enforced params
Fixes https://github.com/BerriAI/litellm/issues/6652
* fix(key_management_endpoints.py): allow user to pass in `enforced_params` as a top level param on /key/generate and /key/update
* docs(enterprise.md): add docs on enforcing required params for llm requests
* Add support of Galadriel API (#7005)
* fix(router.py): robust retry after handling
set retry after time to 0 if >0 healthy deployments. handle base case = 1 deployment
* test(test_router.py): fix test
* feat(bedrock/): add support for 'nova' models
also adds explicit 'converse/' route for simpler routing
* fix: fix 'supports_pdf_input'
return if model supports pdf input on get_model_info
* feat(converse_transformation.py): support bedrock pdf input
* docs(document_understanding.md): add document understanding to docs
* fix(litellm_pre_call_utils.py): fix linting error
* fix(init.py): fix passing of bedrock converse models
* feat(bedrock/converse): support 'response_format={"type": "json_object"}'
* fix(converse_handler.py): fix linting error
* fix(base_llm_unit_tests.py): fix test
* fix: fix test
* test: fix test
* test: fix test
* test: remove duplicate test
---------
Co-authored-by: h4n0 <4738254+h4n0@users.noreply.github.com>
* add the logprobs param for fireworks ai (#6915)
* add the logprobs param for fireworks ai
* (feat) pass through llm endpoints - add `PATCH` support (vertex context caching requires for update ops) (#6924)
* add PATCH for pass through endpoints
* test_pass_through_routes_support_all_methods
* sonnet supports pdf, haiku does not (#6928)
* (feat) DataDog Logger - Add Failure logging + use Standard Logging payload (#6929)
* add async_log_failure_event for dd
* use standard logging payload for DD logging
* use standard logging payload for DD
* fix use SLP status
* allow opting into _create_v0_logging_payload
* add unit tests for DD logging payload
* fix dd logging tests
* (feat) log proxy auth errors on datadog (#6931)
* add new dd type for auth errors
* add async_log_proxy_authentication_errors
* fix comment
* use async_log_proxy_authentication_errors
* test_datadog_post_call_failure_hook
* test_async_log_proxy_authentication_errors
* (feat) Allow using include to include external YAML files in a config.yaml (#6922)
* add helper to process inlcudes directive on yaml
* add doc on config management
* unit tests for `include` on config.yaml
* bump: version 1.52.16 → 1.53.
* (feat) dd logger - set tags according to the values set by those env vars (#6933)
* dd logger, inherit from .envs
* test_datadog_payload_environment_variables
* fix _get_datadog_service
* build(ui/): update ui build
* bump: version 1.53.0 → 1.53.1
* Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)"
This reverts commit 68e59824a3.
* LiteLLM Minor Fixes & Improvements (11/26/2024) (#6913)
* docs(config_settings.md): document all router_settings
* ci(config.yml): add router_settings doc test to ci/cd
* test: debug test on ci/cd
* test: debug ci/cd test
* test: fix test
* fix(team_endpoints.py): skip invalid team object. don't fail `/team/list` call
Causes downstream errors if ui just fails to load team list
* test(base_llm_unit_tests.py): add 'response_format={"type": "text"}' test to base_llm_unit_tests
adds complete coverage for all 'response_format' values to ci/cd
* feat(router.py): support wildcard routes in `get_router_model_info()`
Addresses https://github.com/BerriAI/litellm/issues/6914
* build(model_prices_and_context_window.json): add tpm/rpm limits for all gemini models
Allows for ratelimit tracking for gemini models even with wildcard routing enabled
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): add tpm/rpm tracking on success/failure to global_router
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): support wildcard routes on router.get_model_group_usage()
* fix(router.py): fix linting error
* fix(router.py): implement get_remaining_tokens_and_requests
Addresses https://github.com/BerriAI/litellm/issues/6914
* fix(router.py): fix linting errors
* test: fix test
* test: fix tests
* docs(config_settings.md): add missing dd env vars to docs
* fix(router.py): check if hidden params is dict
* LiteLLM Minor Fixes & Improvements (11/27/2024) (#6943)
* fix(http_parsing_utils.py): remove `ast.literal_eval()` from http utils
Security fix - https://huntr.com/bounties/96a32812-213c-4819-ba4e-36143d35e95b?token=bf414bbd77f8b346556e
64ab2dd9301ea44339910877ea50401c76f977e36cdd78272f5fb4ca852a88a7e832828aae1192df98680544ee24aa98f3cf6980d8
bab641a66b7ccbc02c0e7d4ddba2db4dbe7318889dc0098d8db2d639f345f574159814627bb084563bad472e2f990f825bff0878a9
e281e72c88b4bc5884d637d186c0d67c9987c57c3f0caf395aff07b89ad2b7220d1dd7d1b427fd2260b5f01090efce5250f8b56ea2
c0ec19916c24b23825d85ce119911275944c840a1340d69e23ca6a462da610
* fix(converse/transformation.py): support bedrock apac cross region inference
Fixes https://github.com/BerriAI/litellm/issues/6905
* fix(user_api_key_auth.py): add auth check for websocket endpoint
Fixes https://github.com/BerriAI/litellm/issues/6926
* fix(user_api_key_auth.py): use `model` from query param
* fix: fix linting error
* test: run flaky tests first
* docs: update the docs (#6923)
* (bug fix) /key/update was not storing `budget_duration` in the DB (#6941)
* fix - store budget_duration for keys
* test_generate_and_update_key
* test_update_user_unit_test
* fix user update
* (fix) handle json decode errors for DD exception logging (#6934)
* fix JSONDecodeError
* handle async_log_proxy_authentication_errors
* fix test_async_log_proxy_authentication_errors_get_request
* Revert "Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)""
This reverts commit 5d13302e6b.
* (docs + fix) Add docs on Moderations endpoint, Text Completion (#6947)
* fix _pass_through_moderation_endpoint_factory
* fix route_llm_request
* doc moderations api
* docs on /moderations
* add e2e tests for moderations api
* docs moderations api
* test_pass_through_moderation_endpoint_factory
* docs text completion
* (feat) add enforcement for unique key aliases on /key/update and /key/generate (#6944)
* add enforcement for unique key aliases
* fix _enforce_unique_key_alias
* fix _enforce_unique_key_alias
* fix _enforce_unique_key_alias
* test_enforce_unique_key_alias
* (fix) tag merging / aggregation logic (#6932)
* use 1 helper to merge tags + ensure unique ness
* test_add_litellm_data_to_request_duplicate_tags
* fix _merge_tags
* fix proxy utils test
* fix doc string
* (feat) Allow disabling ErrorLogs written to the DB (#6940)
* fix - allow disabling logging error logs
* docs on disabling error logs
* doc string for _PROXY_failure_handler
* test_disable_error_logs
* rename file
* fix rename file
* increase test coverage for test_enable_error_logs
* fix(key_management_endpoints.py): support 'tags' param on `/key/update` (#6945)
* LiteLLM Minor Fixes & Improvements (11/29/2024) (#6965)
* fix(factory.py): ensure tool call converts image url
Fixes https://github.com/BerriAI/litellm/issues/6953
* fix(transformation.py): support mp4 + pdf url's for vertex ai
Fixes https://github.com/BerriAI/litellm/issues/6936
* fix(http_handler.py): mask gemini api key in error logs
Fixes https://github.com/BerriAI/litellm/issues/6963
* docs(prometheus.md): update prometheus FAQs
* feat(auth_checks.py): ensure specific model access > wildcard model access
if wildcard model is in access group, but specific model is not - deny access
* fix(auth_checks.py): handle auth checks for team based model access groups
handles scenario where model access group used for wildcard models
* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`
Fixes https://github.com/BerriAI/litellm/issues/6942
* fix(key_management_endpoints.py): fix prepare_metadata_fields helper
* fix: fix tests
* build(requirements.txt): bump openai dep version
fixes proxies argument
* test: fix tests
* fix(http_handler.py): fix error message masking
* fix(bedrock_guardrails.py): pass in prepped data
* test: fix test
* test: fix nvidia nim test
* fix(http_handler.py): return original response headers
* fix: revert maskedhttpstatuserror
* test: update tests
* test: cleanup test
* fix(key_management_endpoints.py): fix metadata field update logic
* fix(key_management_endpoints.py): maintain initial order of guardrails in key update
* fix(key_management_endpoints.py): handle prepare metadata
* fix: fix linting errors
* fix: fix linting errors
* fix: fix linting errors
* fix: fix key management errors
* fix(key_management_endpoints.py): update metadata
* test: update test
* refactor: add more debug statements
* test: skip flaky test
* test: fix test
* fix: fix test
* fix: fix update metadata logic
* fix: fix test
* ci(config.yml): change db url for e2e ui testing
* bump: version 1.53.1 → 1.53.2
* Updated config.yml
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
* fix(exceptions.py): ensure ratelimit error code == 429, type == "throttling_error"
Fixes https://github.com/BerriAI/litellm/pull/6973
* fix(utils.py): add jina ai dimensions embedding param support
Fixes https://github.com/BerriAI/litellm/issues/6591
* fix(exception_mapping_utils.py): add bedrock 'prompt is too long' exception to context window exceeded error exception mapping
Fixes https://github.com/BerriAI/litellm/issues/6629
Closes https://github.com/BerriAI/litellm/pull/6975
* fix(litellm_logging.py): strip trailing slash for api base
Closes https://github.com/BerriAI/litellm/pull/6859
* test: skip timeout issue
---------
Co-authored-by: ershang-dou <erlie.shang@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
* fix(pattern_match_deployments.py): default to user input if unable to map based on wildcards
* test: fix test
* test: reset test name
* test: update conftest to reload proxy server module between tests
* ci(config.yml): move langfuse out of local_testing
reduce ci/cd time
* ci(config.yml): cleanup langfuse ci/cd tests
* fix: update test to not use global proxy_server app module
* ci: move caching to a separate test pipeline
speed up ci pipeline
* test: update conftest to check if proxy_server attr exists before reloading
* build(conftest.py): don't block on inability to reload proxy_server
* ci(config.yml): update caching unit test filter to work on 'cache' keyword as well
* fix(encrypt_decrypt_utils.py): use function to get salt key
* test: mark flaky test
* test: handle anthropic overloaded errors
* refactor: create separate ci/cd pipeline for proxy unit tests
make ci/cd faster
* ci(config.yml): add litellm_proxy_unit_testing to build_and_test jobs
* ci(config.yml): generate prisma binaries for proxy unit tests
* test: readd vertex_key.json
* ci(config.yml): remove `-s` from proxy_unit_test cmd
speed up test
* ci: remove any 'debug' logging flag
speed up ci pipeline
* test: fix test
* test(test_braintrust.py): rerun
* test: add delay for braintrust test
2024-11-08 00:55:57 +05:30
Renamed from tests/local_testing/test_bedrock_completion.py (Browse further)
