* feat(litellm_pre_call_utils.py): support 'add_user_information_to_llm_headers' param
enables passing user info to backend llm (user request for custom vllm server)
* fix(litellm_logging.py): fix linting error
* feat(proxy_server.py): check if views exist on proxy server startup + refactor startup event logic to <50 LOC
* refactor(redis_cache.py): use a default cache value when writing to r… (#6358)
* refactor(redis_cache.py): use a default cache value when writing to redis
prevent redis from blowing up in high traffic
* refactor(redis_cache.py): refactor all cache writes to use self.get_ttl
ensures default ttl always used when writing to redis
Prevents redis db from blowing up in prod
* feat(proxy_cli.py): add new 'log_config' cli param (#6352)
* feat(proxy_cli.py): add new 'log_config' cli param
Allows passing logging.conf to uvicorn on startup
* docs(cli.md): add logging conf to uvicorn cli docs
* fix(get_llm_provider_logic.py): fix default api base for litellm_proxy
Fixes https://github.com/BerriAI/litellm/issues/6332
* feat(openai_like/embedding): Add support for jina ai embeddings
Closes https://github.com/BerriAI/litellm/issues/6337
* docs(deploy.md): update entrypoint.sh filepath post-refactor
Fixes outdated docs
* feat(prometheus.py): emit time_to_first_token metric on prometheus
Closes https://github.com/BerriAI/litellm/issues/6334
* fix(prometheus.py): only emit time to first token metric if stream is True
enables more accurate ttft usage
* test: handle vertex api instability
* fix(get_llm_provider_logic.py): fix import
* fix(openai.py): fix deepinfra default api base
* fix(anthropic/transformation.py): remove anthropic beta header (#6361)
* docs(sidebars.js): add jina ai embedding to docs
* docs(sidebars.js): add jina ai to left nav
* bump: version 1.50.1 → 1.50.2
* langfuse use helper for get_langfuse_logging_config
* Refactor: apply early return (#6369)
* (refactor) remove berrispendLogger - unused logging integration (#6363)
* fix remove berrispendLogger
* remove unused clickhouse logger
* fix docs configs.md
* (fix) standard logging metadata + add unit testing (#6366)
* fix setting StandardLoggingMetadata
* add unit testing for standard logging metadata
* fix otel logging test
* fix linting
* fix typing
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
* add new 35 mode lcard (#6378)
* Add claude 3 5 sonnet 20241022 models for all provides (#6380)
* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.
* added anthropic/claude-3-5-sonnet-20241022
* add new 35 mode lcard
---------
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>
* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working
* test(test_alangfuse.py): handle flaky langfuse test better
* (feat) Arize - Allow using Arize HTTP endpoint (#6364)
* arize use helper for get_arize_opentelemetry_config
* use helper to get Arize OTEL config
* arize add helpers for arize
* docs allow using arize http endpoint
* fix importing OTEL for Arize
* use static methods for ArizeLogger
* fix ArizeLogger tests
* Litellm dev 10 22 2024 (#6384)
* fix(utils.py): add 'disallowed_special' for token counting on .encode()
Fixes error when '<
endoftext
>' in string
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
* add new 35 mode lcard (#6378)
* Add claude 3 5 sonnet 20241022 models for all provides (#6380)
* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.
* added anthropic/claude-3-5-sonnet-20241022
* add new 35 mode lcard
---------
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>
* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working
* Fix metadata being overwritten in speech() (#6295)
* fix: adding missing redis cluster kwargs (#6318)
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
* Add support for `max_completion_tokens` in Azure OpenAI (#6376)
Now that Azure supports `max_completion_tokens`, no need for special handling for this param and let it pass thru. More details: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models?tabs=python-secure#api-support
* build(model_prices_and_context_window.json): add voyage-finance-2 pricing
Closes https://github.com/BerriAI/litellm/issues/6371
* build(model_prices_and_context_window.json): fix llama3.1 pricing model name on map
Closes https://github.com/BerriAI/litellm/issues/6310
* feat(realtime_streaming.py): just log specific events
Closes https://github.com/BerriAI/litellm/issues/6267
* fix(utils.py): more robust checking if unmapped vertex anthropic model belongs to that family of models
Fixes https://github.com/BerriAI/litellm/issues/6383
* Fix Ollama stream handling for tool calls with None content (#6155)
* test(test_max_completions): update test now that azure supports 'max_completion_tokens'
* fix(handler.py): fix linting error
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
* bump: version 1.50.2 → 1.50.3
* build(deps): bump http-proxy-middleware in /docs/my-website (#6395)
Bumps [http-proxy-middleware](https://github.com/chimurai/http-proxy-middleware) from 2.0.6 to 2.0.7.
- [Release notes](https://github.com/chimurai/http-proxy-middleware/releases)
- [Changelog](https://github.com/chimurai/http-proxy-middleware/blob/v2.0.7/CHANGELOG.md)
- [Commits](https://github.com/chimurai/http-proxy-middleware/compare/v2.0.6...v2.0.7)
---
updated-dependencies:
- dependency-name: http-proxy-middleware
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* (docs + testing) Correctly document the timeout value used by litellm proxy is 6000 seconds + add to best practices for prod (#6339)
* fix docs use documented timeout
* document request timeout
* add test for litellm.request_timeout
* add test for checking value of timeout
* (refactor) move convert dict to model response to llm_response_utils/ (#6393)
* refactor move convert dict to model response
* fix imports
* fix import _handle_invalid_parallel_tool_calls
* (refactor) litellm.Router client initialization utils (#6394)
* refactor InitalizeOpenAISDKClient
* use helper func for _should_create_openai_sdk_client_for_model
* use static methods for set client on litellm router
* reduce LOC in _get_client_initialization_params
* fix _should_create_openai_sdk_client_for_model
* code quality fix
* test test_should_create_openai_sdk_client_for_model
* test test_get_client_initialization_params_openai
* fix mypy linting errors
* fix OpenAISDKClientInitializationParams
* test_get_client_initialization_params_all_env_vars
* test_get_client_initialization_params_azure_ai_studio_mistral
* test_get_client_initialization_params_default_values
* fix _get_client_initialization_params
* (fix) Langfuse key based logging (#6372)
* langfuse use helper for get_langfuse_logging_config
* fix get_langfuse_logger_for_request
* fix import
* fix get_langfuse_logger_for_request
* test_get_langfuse_logger_for_request_with_dynamic_params
* unit testing for test_get_langfuse_logger_for_request_with_no_dynamic_params
* parameterized langfuse testing
* fix langfuse test
* fix langfuse logging
* fix test_aaalangfuse_logging_metadata
* fix langfuse log metadata test
* fix langfuse logger
* use create_langfuse_logger_from_credentials
* fix test_get_langfuse_logger_for_request_with_no_dynamic_params
* fix correct langfuse/ folder structure
* use static methods for langfuse logger
* add commment on langfuse handler
* fix linting error
* add unit testing for langfuse logging
* fix linting
* fix failure handler langfuse
* Revert "(refactor) litellm.Router client initialization utils (#6394)" (#6403)
This reverts commit b70147f63b.
* def test_text_completion_with_echo(stream): (#6401)
test
* fix linting - remove # noqa PLR0915 from fixed function
* test: cleanup codestral tests - backend api unavailable
* (refactor) prometheus async_log_success_event to be under 100 LOC (#6416)
* unit testig for prometheus
* unit testing for success metrics
* use 1 helper for _increment_token_metrics
* use helper for _increment_remaining_budget_metrics
* use _increment_remaining_budget_metrics
* use _increment_top_level_request_and_spend_metrics
* use helper for _set_latency_metrics
* remove noqa violation
* fix test prometheus
* test prometheus
* unit testing for all prometheus helper functions
* fix prom unit tests
* fix unit tests prometheus
* fix unit test prom
* (refactor) router - use static methods for client init utils (#6420)
* use InitalizeOpenAISDKClient
* use InitalizeOpenAISDKClient static method
* fix # noqa: PLR0915
* (code cleanup) remove unused and undocumented logging integrations - litedebugger, berrispend (#6406)
* code cleanup remove unused and undocumented code files
* fix unused logging integrations cleanup
* bump: version 1.50.3 → 1.50.4
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Hakan Taşköprü <Haknt@users.noreply.github.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* fix(utils.py): add 'disallowed_special' for token counting on .encode()
Fixes error when '<
endoftext
>' in string
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
* add new 35 mode lcard (#6378)
* Add claude 3 5 sonnet 20241022 models for all provides (#6380)
* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.
* added anthropic/claude-3-5-sonnet-20241022
* add new 35 mode lcard
---------
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>
* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working
* Fix metadata being overwritten in speech() (#6295)
* fix: adding missing redis cluster kwargs (#6318)
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
* Add support for `max_completion_tokens` in Azure OpenAI (#6376)
Now that Azure supports `max_completion_tokens`, no need for special handling for this param and let it pass thru. More details: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models?tabs=python-secure#api-support
* build(model_prices_and_context_window.json): add voyage-finance-2 pricing
Closes https://github.com/BerriAI/litellm/issues/6371
* build(model_prices_and_context_window.json): fix llama3.1 pricing model name on map
Closes https://github.com/BerriAI/litellm/issues/6310
* feat(realtime_streaming.py): just log specific events
Closes https://github.com/BerriAI/litellm/issues/6267
* fix(utils.py): more robust checking if unmapped vertex anthropic model belongs to that family of models
Fixes https://github.com/BerriAI/litellm/issues/6383
* Fix Ollama stream handling for tool calls with None content (#6155)
* test(test_max_completions): update test now that azure supports 'max_completion_tokens'
* fix(handler.py): fix linting error
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
* feat(proxy_cli.py): add new 'log_config' cli param
Allows passing logging.conf to uvicorn on startup
* docs(cli.md): add logging conf to uvicorn cli docs
* fix(get_llm_provider_logic.py): fix default api base for litellm_proxy
Fixes https://github.com/BerriAI/litellm/issues/6332
* feat(openai_like/embedding): Add support for jina ai embeddings
Closes https://github.com/BerriAI/litellm/issues/6337
* docs(deploy.md): update entrypoint.sh filepath post-refactor
Fixes outdated docs
* feat(prometheus.py): emit time_to_first_token metric on prometheus
Closes https://github.com/BerriAI/litellm/issues/6334
* fix(prometheus.py): only emit time to first token metric if stream is True
enables more accurate ttft usage
* test: handle vertex api instability
* fix(get_llm_provider_logic.py): fix import
* fix(openai.py): fix deepinfra default api base
* fix(anthropic/transformation.py): remove anthropic beta header (#6361)
* feat(custom_logger.py): expose new `async_dataset_hook` for modifying/rejecting argilla items before logging
Allows user more control on what gets logged to argilla for annotations
* feat(google_ai_studio_endpoints.py): add new `/azure/*` pass through route
enables pass-through for azure provider
* feat(utils.py): support checking ollama `/api/show` endpoint for retrieving ollama model info
Fixes https://github.com/BerriAI/litellm/issues/6322
* fix(user_api_key_auth.py): add `/key/delete` to an allowed_ui_routes
Fixes https://github.com/BerriAI/litellm/issues/6236
* fix(user_api_key_auth.py): remove type ignore
* fix(user_api_key_auth.py): route ui vs. api token checks differently
Fixes https://github.com/BerriAI/litellm/issues/6238
* feat(internal_user_endpoints.py): support setting models as a default internal user param
Closes https://github.com/BerriAI/litellm/issues/6239
* fix(user_api_key_auth.py): fix exception string
* fix(user_api_key_auth.py): fix error string
* fix: fix test
* refactor(main.py): streaming_chunk_builder
use <100 lines of code
refactor each component into a separate function - easier to maintain + test
* fix(utils.py): handle choices being None
openai pydantic schema updated
* fix(main.py): fix linting error
* feat(streaming_chunk_builder_utils.py): update stream chunk builder to support rebuilding audio chunks from openai
* test(test_custom_callback_input.py): test message redaction works for audio output
* fix(streaming_chunk_builder_utils.py): return anthropic token usage info directly
* fix(stream_chunk_builder_utils.py): run validation check before entering chunk processor
* fix(main.py): fix import
* add check for os.environ vars when readin config.yaml
* use base class for reading from config.yaml
* fix import
* fix linting
* add unit tests for base config class
* fix order of reading elements from config.yaml
* unit tests for reading configs from files
* fix user_config_file_path
* use simpler implementation
* use helper to get_config
* working unit tests for reading configs
* refactor(router.py): move assistants api endpoints to using 1 pass-through factory function
Reduces code, increases testing coverage
* refactor(router.py): reduce _common_check_available_deployment function size
make code more maintainable - reduce possible errors
* test(router_code_coverage.py): include batch_utils + pattern matching in enforced 100% code coverage
Improves reliability
* fix(router.py): fix model id match model dump
* fix prometheus have well defined latency buckets
* use a well define latency bucket
* use types file for prometheus logging
* add test for LATENCY_BUCKETS
* fix move s3 to use customLogger
* add basic s3 logging test
* add s3 to custom logger compatible
* use batch logger for s3
* s3 set flush interval and batch size
* fix s3 logging
* add notes on s3 logging
* fix s3 logging
* add basic s3 logging test
* fix s3 type errors
* add test for sync logging on s3
* track LiteLLM_OrganizationMembership
* add add_internal_user_to_organization
* add org membership to schema
* read organization membership when reading user info in auth checks
* add check for valid organization_id
* add test for test_create_new_user_in_organization
* test test_create_new_user_in_organization
* add new ADMIN role
* add test for org admins creating teams
* add test for test_org_admin_create_user_permissions
* test_org_admin_create_user_team_wrong_org_permissions
* test_org_admin_create_user_team_wrong_org_permissions
* fix organization_role_based_access_check
* fix getting user members
* fix TeamBase
* fix types used for use role
* fix type checks
* sync prisma schema
* docs - organization admins
* fix use organization_endpoints for /organization management
* add types for org member endpoints
* fix role name for org admin
* add type for member add response
* add organization/member_add
* add error handling for adding members to an org
* add nice doc string for oranization/member_add
* fix test_create_new_user_in_organization
* linting fix
* use simple route changes
* fix types
* add organization member roles
* add org admin auth checks
* add auth checks for orgs
* test for creating teams as org admin
* simplify org id usage
* fix typo
* test test_org_admin_create_user_team_wrong_org_permissions
* fix type check issue
* code quality fix
* fix schema.prisma
