* feat(batches/): fix batch cost calculation - ensure it's accurate
use the correct cost value - prev. defaulting to non-batch cost
* feat(batch_utils.py): log batch models to spend logs + standard logging payload
makes it easy to understand how cost was calculated
* fix: fix stored payload for test
* test: fix test
* feat: initial commit - enable dev to see translated request
* feat(utils.py): expose new endpoint - `/utils/transform_request` to see the raw request sent by litellm
* feat(transform_request.tsx): allow user to see their transformed request
* refactor(litellm_logging.py): return raw request in 3 parts - api_base, headers, request body
easier to render each individually on UI vs. extracting from combined string
* feat: transform_request.tsx
working e2e raw request viewing
* fix(litellm_logging.py): fix transform viewing for bedrock models
* fix(litellm_logging.py): don't return sensitive headers in raw request headers
prevent accidental leak
* feat(transform_request.tsx): style improvements
* fix(transformation.py): support a 'format' parameter for image's
allow user to specify mime type
* fix: pass mimetype via 'format' param
* feat(gemini/chat/transformation.py): support 'format' param for gemini
* fix(factory.py): support 'format' param on sync bedrock converse calls
* feat(bedrock/converse_transformation.py): support 'format' param for bedrock async calls
* refactor(factory.py): move to supporting 'format' param in base helper
ensures consistency in param support
* feat(gpt_transformation.py): filter out 'format' param
don't send invalid param to openai
* fix(gpt_transformation.py): fix translation
* fix: fix translation error
* Fix missing signature_delta in thinking blocks when streaming from Claude 3.7 (#8797)
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* test: update test to enforce signature found
* feat(refactor-signature-param-to-be-'signature'-instead-of-'signature_delta'): keeps it in sync with anthropic
* fix: fix linting error
---------
Co-authored-by: Martin Krasser <krasserm@googlemail.com>
* fix(core_helpers.py): handle litellm_metadata instead of 'metadata'
* feat(batches/): ensure batches logs are written to db
makes batches response dict compatible
* fix(cost_calculator.py): handle batch response being a dictionary
* fix(batches/main.py): modify retrieve endpoints to use @client decorator
enables logging to work on retrieve call
* fix(batches/main.py): fix retrieve batch response type to be 'dict' compatible
* fix(spend_tracking_utils.py): send unique uuid for retrieve batch call type
create batch and retrieve batch share the same id
* fix(spend_tracking_utils.py): prevent duplicate retrieve batch calls from being double counted
* refactor(batches/): refactor cost tracking for batches - do it on retrieve, and within the established litellm_logging pipeline
ensures cost is always logged to db
* fix: fix linting errors
* fix: fix linting error
* fix test_moderations_bad_model
* use async_post_call_failure_hook
* basic logging errors in DB
* show status on ui
* show status on ui
* ui show request / response side by side
* stash fixes
* working, track raw request
* track error info in metadata
* fix showing error / request / response logs
* show traceback on error viewer
* ui with traceback of error
* fix async_post_call_failure_hook
* fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads
* test_get_error_information
* fix code quality
* rename proxy track cost callback test
* _should_store_errors_in_spend_logs
* feature flag error logs
* Revert "_should_store_errors_in_spend_logs"
This reverts commit 7f345df477.
* Revert "feature flag error logs"
This reverts commit 0e90c022bb.
* test_spend_logs_payload
* fix OTEL log_db_metrics
* fix import json
* fix ui linting error
* test_async_post_call_failure_hook
* test_chat_completion_bad_model_with_spend_logs
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* 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(o_series_transformation.py): fix optional param check for o-series models
o3-mini and o-1 do not support parallel tool calling
* fix(utils.py): support 'drop_params' for 'thinking' param across models
allows switching to older claude versions (or non-anthropic models) and param to be safely dropped
* fix: fix passing thinking param in optional params
allows dropping thinking_param where not applicable
* test: update old model
* fix(utils.py): fix linting errors
* fix(main.py): add param to acompletion
* Adding VertexAI Claude 3.7 Sonnet (#8774)
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
* build(model_prices_and_context_window.json): add anthropic 3-7 models on vertex ai and bedrock
* Support video_url (#8743)
* Support video_url
Support VLMs that works with video.
Example implemenation in vllm: https://github.com/vllm-project/vllm/pull/10020
* llms openai.py: Add ChatCompletionVideoObject
Add data structures to support `video_url` in chat completion
* test test_completion.py: add test for video_url
* Arize Phoenix - ensure correct endpoint/protocol are used; and default to phoenix cloud (#8750)
* minor fixes to default to http and to ensure that the correct endpoint is used
* Update test_arize_phoenix.py
* prioritize http over grpc
---------
Co-authored-by: Emerson Gomes <emerson.gomes@gmail.com>
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Pang Wu <104795337+pang-wu@users.noreply.github.com>
Co-authored-by: Nate Mar <67926244+nate-mar@users.noreply.github.com>
* refactor get model info for team models
* allow adding a model to a team when creating team specific model
* ui update selected Team on Team Dropdown
* test_team_model_association
* testing for team specific models
* test_get_team_specific_model
* test: skip on internal server error
* remove model alias card on teams page
* linting fix _get_team_specific_model
* fix DeploymentTypedDict
* fix linting error
* fix code quality
* fix model info checks
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* ui - use common team dropdown component
* re-use team component
* rename org field on add model
* handle add model submit
* working view model_id and team_id on root models page
* cleaner
* show all fields
* working model info view
* working team info selector
* clean up team id
* new component for model dashboard
* ui show table with dropdown
* make public model names like email
* revert changes to litellm model name
* fix litellm model name
* ui fix public model
* fix mappings
* fix conditional text input
* fix message
* ui fix bulk add models
* _add_team_model_to_db
* move model mgmt helper funcs
* test_add_team_model_to_db
* ui - display model team model name
* fix add model tab
* fix remove redundant info tab on models page
* dont pass model mappings all the way through
* fix jarring model name when adding team models
* fix edit model button
* delete button on model info
* ui fix model dashboard
* fix DeploymentTypedDict
* _is_model_access_group_for_wildcard_route
* test _get_public_model_name
* ui fix viewing public model name
* fix linting error
* fix linting errors
* fix selectedModel logic
* use class ResetBudgetJob
* refactor reset budget job
* update reset_budget job
* refactor reset budget job
* fix LiteLLM_UserTable
* refactor reset budget job
* add telemetry for reset budget job
* dd - log service success/failure on DD
* add detailed reset budget reset info on DD
* initialize_scheduled_background_jobs
* refactor reset budget job
* trigger service failure hook when fails to reset a budget for team, key, user
* fix resetBudgetJob
* unit testing for ResetBudgetJob
* test_duration_in_seconds_basic
* testing for triggering service logging
* fix logs on test teams fail
* remove unused imports
* fix import duration in s
* duration_in_seconds
* fix(main.py): fix key leak error when unknown provider given
don't return passed in args if unknown route on embedding
* fix(main.py): remove instances of {args} being passed in exception
prevent potential key leaks
* test(code_coverage/prevent_key_leaks_in_codebase.py): ban usage of {args} in codebase
* fix: fix linting errors
* fix: remove unused variable
* fix(model_checks.py): update returning known model from wildcard to filter based on given model prefix
ensures wildcard route - `vertex_ai/gemini-*` just returns known vertex_ai/gemini- models
* test(test_proxy_utils.py): add unit testing for new 'get_known_models_from_wildcard' helper
* test(test_models.py): add e2e testing for `/model_group/info` endpoint
* feat(prometheus.py): support tracking total requests by user_email on prometheus
adds initial support for tracking total requests by user_email
* test(test_prometheus.py): add testing to ensure user email is always tracked
* test: update testing for new prometheus metric
* test(test_prometheus_unit_tests.py): add user email to total proxy metric
* test: update tests
* test: fix spend tests
* test: fix test
* fix(pagerduty.py): fix linting error
* fix(litellm_logging.py): support saving applied guardrails in logging object
allows list of applied guardrails to be logged for proxy admin's knowledge
* feat(spend_tracking_utils.py): log applied guardrails to spend logs
makes it easy for admin to know what guardrails were applied on a request
* ci(config.yml): uninstall posthog from ci/cd
* test: fix tests
* test: update test
* add initial test for assembly ai
* start using PassthroughEndpointRouter
* migrate to lllm passthrough endpoints
* add assembly ai as a known provider
* fix PassthroughEndpointRouter
* fix set_pass_through_credentials
* working EU request to assembly ai pass through endpoint
* add e2e test assembly
* test_assemblyai_routes_with_bad_api_key
* clean up pass through endpoint router
* e2e testing for assembly ai pass through
* test assembly ai e2e testing
* delete assembly ai models
* fix code quality
* ui working assembly ai api base flow
* fix install assembly ai
* update model call details with kwargs for pass through logging
* fix tracking assembly ai model in response
* _handle_assemblyai_passthrough_logging
* fix test_initialize_deployment_for_pass_through_unsupported_provider
* TestPassthroughEndpointRouter
* _get_assembly_transcript
* fix assembly ai pt logging tests
* fix assemblyai_proxy_route
* fix _get_assembly_region_from_url
* test(base_llm_unit_tests.py): add test to ensure drop params is respected
* fix(types/prometheus.py): use typing_extensions for python3.8 compatibility
* build: add cherry picked commits
* fix(o_series_transformation.py): add 'reasoning_effort' as o series model param
Closes https://github.com/BerriAI/litellm/issues/8182
* fix(main.py): ensure `reasoning_effort` is a mapped openai param
* refactor(azure/): rename o1_[x] files to o_series_[x]
* refactor(base_llm_unit_tests.py): refactor testing for o series reasoning effort
* test(test_azure_o_series.py): have azure o series tests correctly inherit from base o series model tests
* feat(base_utils.py): support translating 'developer' role to 'system' role for non-openai providers
Makes it easy to switch from openai to anthropic
* fix: fix linting errors
* fix(base_llm_unit_tests.py): fix test
* fix(main.py): add missing param
* Litellm dev 01 29 2025 p4 (#8107)
* fix(key_management_endpoints.py): always get db team
Fixes https://github.com/BerriAI/litellm/issues/7983
* test(test_key_management.py): add unit test enforcing check_db_only is always true on key generate checks
* test: fix test
* test: skip gemini thinking
* Litellm dev 01 29 2025 p3 (#8106)
* fix(__init__.py): reduces size of __init__.py and reduces scope for errors by using correct param
* refactor(__init__.py): refactor init by cleaning up redundant params
* refactor(__init__.py): move more constants into constants.py
cleanup root
* refactor(__init__.py): more cleanup
* feat(__init__.py): expose new 'disable_hf_tokenizer_download' param
enables hf model usage in offline env
* docs(config_settings.md): document new disable_hf_tokenizer_download param
* fix: fix linting error
* fix: fix unsafe comparison
* test: fix test
* docs(public_teams.md): add doc showing how to expose public teams for users to join
* docs: add beta disclaimer on public teams
* test: update tests
* 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
* feat(main.py): use asyncio.sleep for mock_Timeout=true on async request
adds unit testing to ensure proxy does not fail if specific Openai requests hang (e.g. recent o1 outage)
* fix(streaming_handler.py): fix deepseek r1 return reasoning content on streaming
Fixes https://github.com/BerriAI/litellm/issues/7942
* Revert "fix(streaming_handler.py): fix deepseek r1 return reasoning content on streaming"
This reverts commit 7a052a64e3.
* fix(deepseek-r-1): return reasoning_content as a top-level param
ensures compatibility with existing tools that use it
* fix: fix linting error
* 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
