* 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(key_management_endpoints.py): fix /key/update with metadata update
* fix(key_management_endpoints.py): fix key_prepare_update helper
* fix(key_management_endpoints.py): reset value to none if set in key update
* fix: update test
'
* Litellm dev 11 11 2024 (#6693)
* 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
* add clear doc string for GCS bucket logging
* Add docs to export logs to Laminar (#6674)
* Add docs to export logs to Laminar
* minor fix: newline at end of file
* place laminar after http and grpc
* (Feat) Add langsmith key based logging (#6682)
* 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) OpenAI's optional messages[].name does not work with Mistral API (#6701)
* use helper for _transform_messages mistral
* add test_message_with_name to base LLMChat test
* fix linting
* add xAI on Admin UI (#6680)
* (docs) add benchmarks on 1K RPS (#6704)
* docs litellm proxy benchmarks
* docs GCS bucket
* doc fix - reduce clutter on logging doc title
* (feat) add cost tracking stable diffusion 3 on Bedrock (#6676)
* add cost tracking for sd3
* test_image_generation_bedrock
* fix get model info for image cost
* add cost_calculator for stability 1 models
* add unit testing for bedrock image cost calc
* test_cost_calculator_with_no_optional_params
* add test_cost_calculator_basic
* correctly allow size Optional
* fix cost_calculator
* sd3 unit tests cost calc
* fix raise correct error 404 when /key/info is called on non-existent key (#6653)
* 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
* bump: version 1.52.4 → 1.52.5
* add defaults used for GCS logging
* LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705)
* 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
* bump: version 1.52.5 → 1.52.6
* (feat) helm hook to sync db schema (#6715)
* v0 migration job
* fix job
* fix migrations job.yml
* handle standalone DB on helm hook
* fix argo cd annotations
* fix db migration helm hook
* fix migration job
* doc fix Using Http/2 with Hypercorn
* (fix proxy redis) Add redis sentinel support (#6154)
* add sentinel_password support
* add doc for setting redis sentinel password
* fix redis sentinel - use sentinel password
* Fix: Update gpt-4o costs to that of gpt-4o-2024-08-06 (#6714)
Fixes#6713
* (fix) using Anthropic `response_format={"type": "json_object"}` (#6721)
* add support for response_format=json anthropic
* add test_json_response_format to baseLLM ChatTest
* fix test_litellm_anthropic_prompt_caching_tools
* fix test_anthropic_function_call_with_no_schema
* test test_create_json_tool_call_for_response_format
* (feat) Add cost tracking for Azure Dall-e-3 Image Generation + use base class to ensure basic image generation tests pass (#6716)
* add BaseImageGenTest
* use 1 class for unit testing
* add debugging to BaseImageGenTest
* TestAzureOpenAIDalle3
* fix response_cost_calculator
* test_basic_image_generation
* fix img gen basic test
* fix _select_model_name_for_cost_calc
* fix test_aimage_generation_bedrock_with_optional_params
* fix undo changes cost tracking
* fix response_cost_calculator
* fix test_cost_azure_gpt_35
* fix remove dup test (#6718)
* (build) update db helm hook
* (build) helm db pre sync hook
* (build) helm db sync hook
* test: run test_team_logging firdst
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com>
Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de>
* 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
* 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
* fix use helper for _handle_failed_db_connection_for_get_key_object
* track ALLOW_FAILED_DB_REQUESTS on prometheus
* fix allow_failed_db_requests check
* fix allow_requests_on_db_unavailable
* fix allow_requests_on_db_unavailable
* docs allow_requests_on_db_unavailable
* identify user_id as litellm_proxy_admin_name when DB is failing
* test_handle_failed_db_connection
* fix test_user_api_key_auth_db_unavailable
* update best practices for prod doc
* update best practices for prod
* fix handle db failure
* fix debug statements
* fix assert prisma_client.health_check is called on _setup
* asser that _setup_prisma_client is called on startup proxy
* fix prisma client health_check
* add test_bad_database_url
* add strict checks on db startup
* temp remove fix to validate if check works as expected
* add health_check back
* test_proxy_server_prisma_setup_invalid_db
* refactor(proxy_server.py): add debug logging around license check event (refactor position in startup_event logic)
* fix(proxy/_types.py): allow admin_allowed_routes to be any str
* fix(router.py): raise 400-status code error for no 'model_name' error on router
Fixes issue with status code when unknown model name passed with pattern matching enabled
* fix(converse_handler.py): add claude 3-5 haiku to bedrock converse models
* test: update testing to replace claude-instant-1.2
* fix(router.py): fix router.moderation calls
* test: update test to remove claude-instant-1
* fix(router.py): support model_list values in router.moderation
* test: fix test
* test: fix test
* feat: initial commit for watsonx chat endpoint support
Closes https://github.com/BerriAI/litellm/issues/6562
* feat(watsonx/chat/handler.py): support tool calling for watsonx
Closes https://github.com/BerriAI/litellm/issues/6562
* fix(streaming_utils.py): return empty chunk instead of failing if streaming value is invalid dict
ensures streaming works for ibm watsonx
* fix(openai_like/chat/handler.py): ensure asynchttphandler is passed correctly for openai like calls
* fix: ensure exception mapping works well for watsonx calls
* fix(openai_like/chat/handler.py): handle async streaming correctly
* feat(main.py): Make it clear when a user is passing an invalid message
add validation for user content message
Closes https://github.com/BerriAI/litellm/issues/6565
* fix: cleanup
* fix(utils.py): loosen validation check, to just make sure content types are valid
make litellm robust to future content updates
* fix: fix linting erro
* fix: fix linting errors
* fix(utils.py): make validation check more flexible
* test: handle langfuse list index out of range error
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* bump: version 1.51.4 → 1.51.5
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* fix ImageObject conversion (#6584)
* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)
* unit test test_huggingface_text_completion_logprobs
* fix return TextCompletionHandler convert_chat_to_text_completion
* fix hf rest api
* fix test_huggingface_text_completion_logprobs
* fix linting errors
* fix importLiteLLMResponseObjectHandler
* fix test for LiteLLMResponseObjectHandler
* fix test text completion
* fix allow using 15 seconds for premium license check
* testing fix bedrock deprecated cohere.command-text-v14
* (feat) add `Predicted Outputs` for OpenAI (#6594)
* bump openai to openai==1.54.0
* add 'prediction' param
* testing fix bedrock deprecated cohere.command-text-v14
* test test_openai_prediction_param.py
* test_openai_prediction_param_with_caching
* doc Predicted Outputs
* doc Predicted Output
* (fix) Vertex Improve Performance when using `image_url` (#6593)
* fix transformation vertex
* test test_process_gemini_image
* test_image_completion_request
* testing fix - bedrock has deprecated cohere.command-text-v14
* fix vertex pdf
* bump: version 1.51.5 → 1.52.0
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check (#6577)
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check
* fix(lowest_tpm_rpm_v2.py): return headers in correct format
* test: update test
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* test: remove eol model
* fix(proxy_server.py): fix db config loading logic
* fix(proxy_server.py): fix order of config / db updates, to ensure fields not overwritten
* test: skip test if required env var is missing
* test: fix test
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
* test: mark flaky test
* test: handle anthropic api instability
* test: update test
* test: bump num retries on langfuse tests - their api is quite bad
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
* unit test test_huggingface_text_completion_logprobs
* fix return TextCompletionHandler convert_chat_to_text_completion
* fix hf rest api
* fix test_huggingface_text_completion_logprobs
* fix linting errors
* fix importLiteLLMResponseObjectHandler
* fix test for LiteLLMResponseObjectHandler
* fix test text completion
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* refactor: move gemini translation logic inside the transformation.py file
easier to isolate the gemini translation logic
* fix(gemini-transformation): support multiple tool calls in message body
Merges https://github.com/BerriAI/litellm/pull/6487/files
* test(test_vertex.py): add remaining tests from https://github.com/BerriAI/litellm/pull/6487
* fix(gemini-transformation): return tool calls for multiple tool calls
* fix: support passing logprobs param for vertex + gemini
* feat(vertex_ai): add logprobs support for gemini calls
* fix(anthropic/chat/transformation.py): fix disable parallel tool use flag
* fix: fix linting error
* fix(_logging.py): log stacktrace information in json logs
Closes https://github.com/BerriAI/litellm/issues/6497
* fix(utils.py): fix mem leak for async stream + completion
Uses a global executor pool instead of creating a new thread on each request
Fixes https://github.com/BerriAI/litellm/issues/6404
* fix(factory.py): handle tool call + content in assistant message for bedrock
* fix: fix import
* fix(factory.py): maintain support for content as a str in assistant response
* fix: fix import
* test: cleanup test
* fix(vertex_and_google_ai_studio/): return none for content if no str value
* test: retry flaky tests
* (UI) Fix viewing members, keys in a team + added testing (#6514)
* fix listing teams on ui
* LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475)
* fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param
Fixes https://github.com/BerriAI/litellm/issues/6456
* feat(anthropic/chat/transformation.py): support anthropic computer tool use
Closes https://github.com/BerriAI/litellm/issues/6427
* fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai
Fixes issue when trying to call vertex from vercel sdk
* fix(main.py): add 'extra_headers' support for azure on all translation endpoints
Fixes https://github.com/BerriAI/litellm/issues/6465
* fix: fix linting errors
* fix(transformation.py): handle no beta headers for anthropic
* test: cleanup test
* fix: fix linting error
* fix: fix linting errors
* fix: fix linting errors
* fix(transformation.py): handle dummy tool call
* fix(main.py): fix linting error
* fix(azure.py): pass required param
* LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441)
* fix(azure.py): handle /openai/deployment in azure api base
* fix(factory.py): fix faulty anthropic tool result translation check
Fixes https://github.com/BerriAI/litellm/issues/6422
* fix(gpt_transformation.py): add support for parallel_tool_calls to azure
Fixes https://github.com/BerriAI/litellm/issues/6440
* fix(factory.py): support anthropic prompt caching for tool results
* fix(vertex_ai/common_utils): don't pop non-null required field
Fixes https://github.com/BerriAI/litellm/issues/6426
* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini
Closes https://github.com/BerriAI/litellm/issues/6434
* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models
Closes https://github.com/BerriAI/litellm/issues/6437
* fix(types/utils.py): fix linting
* test: update test to include required fields
* test: fix test
* test: handle flaky test
* test: remove e2e test - hitting gemini rate limits
* Litellm dev 10 26 2024 (#6472)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471)
* test test_dual_cache_get_set
* unit testing for dual cache
* fix async_set_cache_sadd
* test_dual_cache_local_only
* redis otel tracing + async support for latency routing (#6452)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* fix(dual_cache.py): set default value for parent_otel_span
* fix(transformation.py): support 'response_format' for anthropic calls
* fix(transformation.py): check for cache_control inside 'function' block
* fix: fix linting error
* fix: fix linting errors
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* ui new build
* Add retry strat (#6520)
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* (fix) slack alerting - don't spam the failed cost tracking alert for the same model (#6543)
* fix use failing_model as cache key for failed_tracking_alert
* fix use standard logging payload for getting response cost
* fix kwargs.get("response_cost")
* fix getting response cost
* (feat) add XAI ChatCompletion Support (#6373)
* init commit for XAI
* add full logic for xai chat completion
* test_completion_xai
* docs xAI
* add xai/grok-beta
* test_xai_chat_config_get_openai_compatible_provider_info
* test_xai_chat_config_map_openai_params
* add xai streaming test
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
* fix listing teams on ui
* LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475)
* fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param
Fixes https://github.com/BerriAI/litellm/issues/6456
* feat(anthropic/chat/transformation.py): support anthropic computer tool use
Closes https://github.com/BerriAI/litellm/issues/6427
* fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai
Fixes issue when trying to call vertex from vercel sdk
* fix(main.py): add 'extra_headers' support for azure on all translation endpoints
Fixes https://github.com/BerriAI/litellm/issues/6465
* fix: fix linting errors
* fix(transformation.py): handle no beta headers for anthropic
* test: cleanup test
* fix: fix linting error
* fix: fix linting errors
* fix: fix linting errors
* fix(transformation.py): handle dummy tool call
* fix(main.py): fix linting error
* fix(azure.py): pass required param
* LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441)
* fix(azure.py): handle /openai/deployment in azure api base
* fix(factory.py): fix faulty anthropic tool result translation check
Fixes https://github.com/BerriAI/litellm/issues/6422
* fix(gpt_transformation.py): add support for parallel_tool_calls to azure
Fixes https://github.com/BerriAI/litellm/issues/6440
* fix(factory.py): support anthropic prompt caching for tool results
* fix(vertex_ai/common_utils): don't pop non-null required field
Fixes https://github.com/BerriAI/litellm/issues/6426
* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini
Closes https://github.com/BerriAI/litellm/issues/6434
* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models
Closes https://github.com/BerriAI/litellm/issues/6437
* fix(types/utils.py): fix linting
* test: update test to include required fields
* test: fix test
* test: handle flaky test
* test: remove e2e test - hitting gemini rate limits
* Litellm dev 10 26 2024 (#6472)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471)
* test test_dual_cache_get_set
* unit testing for dual cache
* fix async_set_cache_sadd
* test_dual_cache_local_only
* redis otel tracing + async support for latency routing (#6452)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* fix(dual_cache.py): set default value for parent_otel_span
* fix(transformation.py): support 'response_format' for anthropic calls
* fix(transformation.py): check for cache_control inside 'function' block
* fix: fix linting error
* fix: fix linting errors
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* feat(router.py): add check for max fallback depth
Prevent infinite loop for fallbacks
Closes https://github.com/BerriAI/litellm/issues/6498
* test: update test
* (fix) Prometheus - Log Postgres DB latency, status on prometheus (#6484)
* fix logging DB fails on prometheus
* unit testing log to otel wrapper
* unit testing for service logger + prometheus
* use LATENCY buckets for service logging
* fix service logging
* docs clarify vertex vs gemini
* (router_strategy/) ensure all async functions use async cache methods (#6489)
* fix router strat
* use async set / get cache in router_strategy
* add coverage for router strategy
* fix imports
* fix batch_get_cache
* use async methods for least busy
* fix least busy use async methods
* fix test_dual_cache_increment
* test async_get_available_deployment when routing_strategy="least-busy"
* (fix) proxy - fix when `STORE_MODEL_IN_DB` should be set (#6492)
* set store_model_in_db at the top
* correctly use store_model_in_db global
* (fix) `PrometheusServicesLogger` `_get_metric` should return metric in Registry (#6486)
* fix logging DB fails on prometheus
* unit testing log to otel wrapper
* unit testing for service logger + prometheus
* use LATENCY buckets for service logging
* fix service logging
* fix _get_metric in prom services logger
* add clear doc string
* unit testing for prom service logger
* bump: version 1.51.0 → 1.51.1
* Add `azure/gpt-4o-mini-2024-07-18` to model_prices_and_context_window.json (#6477)
* Update utils.py (#6468)
Fixed missing keys
* (perf) Litellm redis router fix - ~100ms improvement (#6483)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* perf(cooldown_cache.py): improve cooldown cache, to store cache results in memory for 5s, prevents redis call from being made on each request
reduces 100ms latency per call with caching enabled on router
* fix: fix test
* fix(cooldown_cache.py): handle if a result is None
* fix(cooldown_cache.py): add debug statements
* refactor(dual_cache.py): move to using an in-memory check for batch get cache, to prevent redis from being hit for every call
* fix(cooldown_cache.py): fix linting erropr
* build: merge main
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Xingyao Wang <xingyao@all-hands.dev>
Co-authored-by: vibhanshu-ob <115142120+vibhanshu-ob@users.noreply.github.com>
* fix(core_helpers.py): return None, instead of raising kwargs is None error
Closes https://github.com/BerriAI/litellm/issues/6500
* docs(cost_tracking.md): cleanup doc
* fix(vertex_and_google_ai_studio.py): handle function call with no params passed in
Closes https://github.com/BerriAI/litellm/issues/6495
* test(test_router_timeout.py): add test for router timeout + retry logic
* test: update test to use module level values
* (fix) Prometheus - Log Postgres DB latency, status on prometheus (#6484)
* fix logging DB fails on prometheus
* unit testing log to otel wrapper
* unit testing for service logger + prometheus
* use LATENCY buckets for service logging
* fix service logging
* docs clarify vertex vs gemini
* (router_strategy/) ensure all async functions use async cache methods (#6489)
* fix router strat
* use async set / get cache in router_strategy
* add coverage for router strategy
* fix imports
* fix batch_get_cache
* use async methods for least busy
* fix least busy use async methods
* fix test_dual_cache_increment
* test async_get_available_deployment when routing_strategy="least-busy"
* (fix) proxy - fix when `STORE_MODEL_IN_DB` should be set (#6492)
* set store_model_in_db at the top
* correctly use store_model_in_db global
* (fix) `PrometheusServicesLogger` `_get_metric` should return metric in Registry (#6486)
* fix logging DB fails on prometheus
* unit testing log to otel wrapper
* unit testing for service logger + prometheus
* use LATENCY buckets for service logging
* fix service logging
* fix _get_metric in prom services logger
* add clear doc string
* unit testing for prom service logger
* bump: version 1.51.0 → 1.51.1
* Add `azure/gpt-4o-mini-2024-07-18` to model_prices_and_context_window.json (#6477)
* Update utils.py (#6468)
Fixed missing keys
* (perf) Litellm redis router fix - ~100ms improvement (#6483)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* perf(cooldown_cache.py): improve cooldown cache, to store cache results in memory for 5s, prevents redis call from being made on each request
reduces 100ms latency per call with caching enabled on router
* fix: fix test
* fix(cooldown_cache.py): handle if a result is None
* fix(cooldown_cache.py): add debug statements
* refactor(dual_cache.py): move to using an in-memory check for batch get cache, to prevent redis from being hit for every call
* fix(cooldown_cache.py): fix linting erropr
* refactor(prometheus.py): move to using standard logging payload for reading the remaining request / tokens
Ensures prometheus token tracking works for anthropic as well
* fix: fix linting error
* fix(redis_cache.py): make sure ttl is always int (handle float values)
Fixes issue where redis_client.ex was not working correctly due to float ttl
* fix: fix linting error
* test: update test
* fix: fix linting error
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Xingyao Wang <xingyao@all-hands.dev>
Co-authored-by: vibhanshu-ob <115142120+vibhanshu-ob@users.noreply.github.com>
* fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param
Fixes https://github.com/BerriAI/litellm/issues/6456
* feat(anthropic/chat/transformation.py): support anthropic computer tool use
Closes https://github.com/BerriAI/litellm/issues/6427
* fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai
Fixes issue when trying to call vertex from vercel sdk
* fix(main.py): add 'extra_headers' support for azure on all translation endpoints
Fixes https://github.com/BerriAI/litellm/issues/6465
* fix: fix linting errors
* fix(transformation.py): handle no beta headers for anthropic
* test: cleanup test
* fix: fix linting error
* fix: fix linting errors
* fix: fix linting errors
* fix(transformation.py): handle dummy tool call
* fix(main.py): fix linting error
* fix(azure.py): pass required param
* LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441)
* fix(azure.py): handle /openai/deployment in azure api base
* fix(factory.py): fix faulty anthropic tool result translation check
Fixes https://github.com/BerriAI/litellm/issues/6422
* fix(gpt_transformation.py): add support for parallel_tool_calls to azure
Fixes https://github.com/BerriAI/litellm/issues/6440
* fix(factory.py): support anthropic prompt caching for tool results
* fix(vertex_ai/common_utils): don't pop non-null required field
Fixes https://github.com/BerriAI/litellm/issues/6426
* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini
Closes https://github.com/BerriAI/litellm/issues/6434
* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models
Closes https://github.com/BerriAI/litellm/issues/6437
* fix(types/utils.py): fix linting
* test: update test to include required fields
* test: fix test
* test: handle flaky test
* test: remove e2e test - hitting gemini rate limits
* Litellm dev 10 26 2024 (#6472)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471)
* test test_dual_cache_get_set
* unit testing for dual cache
* fix async_set_cache_sadd
* test_dual_cache_local_only
* redis otel tracing + async support for latency routing (#6452)
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* fix(dual_cache.py): set default value for parent_otel_span
* fix(transformation.py): support 'response_format' for anthropic calls
* fix(transformation.py): check for cache_control inside 'function' block
* fix: fix linting error
* fix: fix linting errors
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Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
