* fix(caching): convert arg to equivalent kwargs in llm caching handler
prevent unexpected errors
* fix(caching_handler.py): don't pass args to caching
* fix(caching): remove all *args from caching.py
* fix(caching): consistent function signatures + abc method
* test(caching_unit_tests.py): add unit tests for llm caching
ensures coverage for common caching scenarios across different implementations
* refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one
* fix(router.py): drop redis password requirement
* fix(proxy_server.py): fix faulty slack alerting check
* fix(langfuse.py): avoid copying functions/thread lock objects in metadata
fixes metadata copy error when parent otel span in metadata
* test: update test
* fix raise correct error on /key/info
* add not_found_error error
* fix key not found in DB error
* use 1 helper for checking token hash
* fix error code on key info
* fix test key gen prisma
* test_generate_and_call_key_info
* test fix test_call_with_valid_model_using_all_models
* fix key info tests
* add langsmith_api_key to StandardCallbackDynamicParams
* create a file for langsmith types
* langsmith add key / team based logging
* add key based logging for langsmith
* fix langsmith key based logging
* fix linting langsmith
* remove NOQA violation
* add unit test coverage for all helpers in test langsmith
* test_langsmith_key_based_logging
* docs langsmith key based logging
* run langsmith tests in logging callback tests
* fix logging testing
* test_langsmith_key_based_logging
* test_add_callback_via_key_litellm_pre_call_utils_langsmith
* add debug statement langsmith key based logging
* test_langsmith_key_based_logging
* fix(__init__.py): add 'watsonx_text' as mapped llm api route
Fixes https://github.com/BerriAI/litellm/issues/6663
* fix(opentelemetry.py): fix passing parallel tool calls to otel
Fixes https://github.com/BerriAI/litellm/issues/6677
* refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling
reduces bugs in repo
* fix(__init__.py): update provider-model mapping to include all known provider-model mappings
Fixes https://github.com/BerriAI/litellm/issues/6669
* feat(anthropic): support passing document in llm api call
* docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function
* fix(factory.py): fix linting error
* use CustomBatchLogger for GCS
* add GCS bucket logging type
* use batch logging for GCs bucket
* add gcs_bucket
* allow setting flush_interval on CustomBatchLogger
* set GCS_FLUSH_INTERVAL to 1s
* fix test_key_logging
* fix test_key_logging
* add docs on new env vars
* add bedrock image gen async support
* added async support for bedrock image gen
* move image gen testing
* add AmazonStability3Config
* add AmazonStability3Config config
* update AmazonStabilityConfig
* update get_optional_params_image_gen
* use 1 helper for _get_request_body
* add transform_response_dict_to_openai_response for stability3
* test sd3-large-v1:0
* unit testing for bedrock image gen
* fix load_vertex_ai_credentials
* fix test_aimage_generation_vertex_ai
* add stability.sd3-large-v1:0 to model cost map
* add stability.stability.sd3-large-v1:0 to docs
* fix(deepseek/chat): convert content list to str
Fixes https://github.com/BerriAI/litellm/issues/6642
* test(test_deepseek_completion.py): implement base llm unit tests
increase robustness across providers
* fix(router.py): support content policy violation fallbacks with default fallbacks
* fix(opentelemetry.py): refactor to move otel imports behing flag
Fixes https://github.com/BerriAI/litellm/issues/6636
* fix(opentelemtry.py): close span on success completion
* fix(user_api_key_auth.py): allow user_role to default to none
* fix: mark flaky test
* fix(opentelemetry.py): move otelconfig.from_env to inside the init
prevent otel errors raised just by importing the litellm class
* fix(user_api_key_auth.py): fix auth error
* fix(streaming_handler.py): save finish_reasons which might show up mid-stream (store last received one)
Fixes https://github.com/BerriAI/litellm/issues/6104
* refactor: add readme to litellm_core_utils/
make it easier to navigate
* fix(team_endpoints.py): return team id + object for invalid team in `/team/list`
* fix(streaming_handler.py): remove import
* fix(pattern_match_deployments.py): default to user input if unable to map based on wildcards (#6646)
* fix(pattern_match_deployments.py): default to user input if unable to… (#6632)
* 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
* chore: comment for maritalk (#6607)
* Update gpt-4o-2024-08-06, and o1-preview, o1-mini models in model cost map (#6654)
* Adding supports_response_schema to gpt-4o-2024-08-06 models
* o1 models do not support vision
---------
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
* (QOL improvement) add unit testing for all static_methods in litellm_logging.py (#6640)
* add unit testing for standard logging payload
* unit testing for static methods in litellm_logging
* add code coverage check for litellm_logging
* litellm_logging_code_coverage
* test_get_final_response_obj
* fix validate_redacted_message_span_attributes
* test validate_redacted_message_span_attributes
* (feat) log error class, function_name on prometheus service failure hook + only log DB related failures on DB service hook (#6650)
* log error on prometheus service failure hook
* use a more accurate function name for wrapper that handles logging db metrics
* fix log_db_metrics
* test_log_db_metrics_failure_error_types
* fix linting
* fix auth checks
* Update several Azure AI models in model cost map (#6655)
* Adding Azure Phi 3/3.5 models to model cost map
* Update gpt-4o-mini models
* Adding missing Azure Mistral models to model cost map
* Adding Azure Llama3.2 models to model cost map
* Fix Gemini-1.5-flash pricing
* Fix Gemini-1.5-flash output pricing
* Fix Gemini-1.5-pro prices
* Fix Gemini-1.5-flash output prices
* Correct gemini-1.5-pro prices
* Correction on Vertex Llama3.2 entry
---------
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
* fix(streaming_handler.py): fix linting error
* test: remove duplicate test
causes gemini ratelimit error
---------
Co-authored-by: nobuo kawasaki <nobu007@users.noreply.github.com>
Co-authored-by: Emerson Gomes <emerson.gomes@gmail.com>
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* ci(conftest.py): reset conftest.py for local_testing/
check if that speeds up testing
* fix: fix import
* fix(conftest.py): fix import to check if hasattr
* fix(conftest.py): ignore proxy reload if doesn't exist
* log error on prometheus service failure hook
* use a more accurate function name for wrapper that handles logging db metrics
* fix log_db_metrics
* test_log_db_metrics_failure_error_types
* fix linting
* fix auth checks
* add unit testing for standard logging payload
* unit testing for static methods in litellm_logging
* add code coverage check for litellm_logging
* litellm_logging_code_coverage
* test_get_final_response_obj
* fix validate_redacted_message_span_attributes
* test validate_redacted_message_span_attributes
* Adding supports_response_schema to gpt-4o-2024-08-06 models
* o1 models do not support vision
---------
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
