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971 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Ishaan Jaff
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aaa4d4178a
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litellm not honoring OPENAI_ORGANIZATION env var (#7066)
* fix setting organization using .env vars * test_completion_bad_org * test_completion_bad_org |
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Krish Dholakia
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816f0ef8d2
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LiteLLM Minor Fixes & Improvements (12/05/2024) (#7051)
* fix(cost_calculator.py): move to using `.get_model_info()` for cost per token calculations ensures cost tracking is reliable - handles edge cases of parsing model cost map * build(model_prices_and_context_window.json): add 'supports_response_schema' for select tgai models Fixes https://github.com/BerriAI/litellm/pull/7037#discussion_r1872157329 * build(model_prices_and_context_window.json): remove 'pdf input' and 'vision' support from nova micro in model map Bedrock docs indicate no support for micro - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html * fix(converse_transformation.py): support amazon nova tool use * fix(opentelemetry): Add missing LLM request type attribute to spans (#7041) * feat(opentelemetry): add LLM request type attribute to spans * lint * fix: curl usage (#7038) curl -d, --data <data> is lowercase d curl -D, --dump-header <filename> is uppercase D references: https://curl.se/docs/manpage.html#-d https://curl.se/docs/manpage.html#-D * fix(spend_tracking.py): handle empty 'id' in model response - when creating spend log Fixes https://github.com/BerriAI/litellm/issues/7023 * fix(streaming_chunk_builder.py): handle initial id being empty string Fixes https://github.com/BerriAI/litellm/issues/7023 * fix(anthropic_passthrough_logging_handler.py): add end user cost tracking for anthropic pass through endpoint * docs(pass_through/): refactor docs location + add table on supported features for pass through endpoints * feat(anthropic_passthrough_logging_handler.py): support end user cost tracking via anthropic sdk * docs(anthropic_completion.md): add docs on passing end user param for cost tracking on anthropic sdk * fix(litellm_logging.py): use standard logging payload if present in kwargs prevent datadog logging error for pass through endpoints * docs(bedrock.md): add rerank api usage example to docs * bugfix/change dummy tool name format (#7053) * fix viewing keys (#7042) * ui new build * build(model_prices_and_context_window.json): add bedrock region models to model cost map (#7044) * bye (#6982) * (fix) litellm router.aspeech (#6962) * doc Migrating Databases * fix aspeech on router * test_audio_speech_router * test_audio_speech_router * docs show supported providers on batches api doc * change dummy tool name format --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> * fix: fix linting errors * test: update test * fix(litellm_logging.py): fix pass through check * fix(test_otel_logging.py): fix test * fix(cost_calculator.py): update handling for cost per second * fix(cost_calculator.py): fix cost check * test: fix test * (fix) adding public routes when using custom header (#7045) * get_api_key_from_custom_header * add test_get_api_key_from_custom_header * fix testing use 1 file for test user api key auth * fix test user api key auth * test_custom_api_key_header_name * build: update ui build --------- Co-authored-by: Doron Kopit <83537683+doronkopit5@users.noreply.github.com> Co-authored-by: lloydchang <lloydchang@gmail.com> Co-authored-by: hgulersen <haymigulersen@gmail.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> |
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Krish Dholakia
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61b35c12bb
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LiteLLM Minor Fixes & Improvements (12/05/2024) (#7037)
* fix(together_ai/chat): only return response_format + tools for supported models Fixes https://github.com/BerriAI/litellm/issues/6972 * feat(bedrock/rerank): initial working commit for bedrock rerank api support Closes https://github.com/BerriAI/litellm/issues/7021 * feat(bedrock/rerank): async bedrock rerank api support Addresses https://github.com/BerriAI/litellm/issues/7021 * build(model_prices_and_context_window.json): add 'supports_prompt_caching' for bedrock models + cleanup cross-region from model list (duplicate information - lead to inconsistencies ) * docs(json_mode.md): clarify model support for json schema Closes https://github.com/BerriAI/litellm/issues/6998 * fix(_service_logger.py): handle dd callback in list ensure failed spend tracking is logged to datadog * feat(converse_transformation.py): translate from anthropic format to bedrock format Closes https://github.com/BerriAI/litellm/issues/7030 * fix: fix linting errors * test: fix test |
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Krrish Dholakia
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cda6691a7f | test: fix test | ||
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Krish Dholakia
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6bb934c0ac
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fix(key_management_endpoints.py): override metadata field value on up… (#7008)
* fix(key_management_endpoints.py): override metadata field value on update allow user to override tags * feat(__init__.py): expose new disable_end_user_cost_tracking_prometheus_only metric allow disabling end user cost tracking on prometheus - fixes cardinality issue * fix(litellm_pre_call_utils.py): add key/team level enforced params Fixes https://github.com/BerriAI/litellm/issues/6652 * fix(key_management_endpoints.py): allow user to pass in `enforced_params` as a top level param on /key/generate and /key/update * docs(enterprise.md): add docs on enforcing required params for llm requests * Add support of Galadriel API (#7005) * fix(router.py): robust retry after handling set retry after time to 0 if >0 healthy deployments. handle base case = 1 deployment * test(test_router.py): fix test * feat(bedrock/): add support for 'nova' models also adds explicit 'converse/' route for simpler routing * fix: fix 'supports_pdf_input' return if model supports pdf input on get_model_info * feat(converse_transformation.py): support bedrock pdf input * docs(document_understanding.md): add document understanding to docs * fix(litellm_pre_call_utils.py): fix linting error * fix(init.py): fix passing of bedrock converse models * feat(bedrock/converse): support 'response_format={"type": "json_object"}' * fix(converse_handler.py): fix linting error * fix(base_llm_unit_tests.py): fix test * fix: fix test * test: fix test * test: fix test * test: remove duplicate test --------- Co-authored-by: h4n0 <4738254+h4n0@users.noreply.github.com> |
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Ishaan Jaff
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10794868c1 | test_multilingual_requests | ||
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Ishaan Jaff
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1ef4d54dbb | test_multilingual_requests deepseek | ||
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Ishaan Jaff
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2a8d64991f
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(fix) 'utf-8' codec can't encode characters error on OpenAI (#7018)
* test_openai_multilingual * pin httpx * fix openai pyproject * test_multilingual_requests * TestOpenAIChatCompletion * fix test anthropic completion |
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Krrish Dholakia
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aaa8c7caf0 | test: add retry on flaky test | ||
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Krrish Dholakia
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5438c7d214 | test: fix test | ||
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Krrish Dholakia
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0caf804f4c |
feat(databricks/chat): support structured outputs on databricks
Closes https://github.com/BerriAI/litellm/pull/6978 - handles content as list for dbrx, - handles streaming+response_format for dbrx |
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Krish Dholakia
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89fcd7b0e1
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Litellm 12 02 2024 (#6994)
* add the logprobs param for fireworks ai (#6915) * add the logprobs param for fireworks ai * (feat) pass through llm endpoints - add `PATCH` support (vertex context caching requires for update ops) (#6924) * add PATCH for pass through endpoints * test_pass_through_routes_support_all_methods * sonnet supports pdf, haiku does not (#6928) * (feat) DataDog Logger - Add Failure logging + use Standard Logging payload (#6929) * add async_log_failure_event for dd * use standard logging payload for DD logging * use standard logging payload for DD * fix use SLP status * allow opting into _create_v0_logging_payload * add unit tests for DD logging payload * fix dd logging tests * (feat) log proxy auth errors on datadog (#6931) * add new dd type for auth errors * add async_log_proxy_authentication_errors * fix comment * use async_log_proxy_authentication_errors * test_datadog_post_call_failure_hook * test_async_log_proxy_authentication_errors * (feat) Allow using include to include external YAML files in a config.yaml (#6922) * add helper to process inlcudes directive on yaml * add doc on config management * unit tests for `include` on config.yaml * bump: version 1.52.16 → 1.53. * (feat) dd logger - set tags according to the values set by those env vars (#6933) * dd logger, inherit from .envs * test_datadog_payload_environment_variables * fix _get_datadog_service * build(ui/): update ui build * bump: version 1.53.0 → 1.53.1 * Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)" This reverts commit |
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Krish Dholakia
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1c8438d475
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Litellm dev 11 30 2024 (#6974)
* feat(cohere/chat.py): return citations in model response Closes https://github.com/BerriAI/litellm/issues/6814 * fix(cohere/chat.py): fix linting errors * fix(langsmith.py): support 'run_id' for langsmith Fixes https://github.com/BerriAI/litellm/issues/6862 * fix(langsmith.py): fix langsmith quickstart Fixes https://github.com/BerriAI/litellm/issues/6861 * fix: suppress linting error * LiteLLM Minor Fixes & Improvements (11/29/2024) (#6965) * fix(factory.py): ensure tool call converts image url Fixes https://github.com/BerriAI/litellm/issues/6953 * fix(transformation.py): support mp4 + pdf url's for vertex ai Fixes https://github.com/BerriAI/litellm/issues/6936 * fix(http_handler.py): mask gemini api key in error logs Fixes https://github.com/BerriAI/litellm/issues/6963 * docs(prometheus.md): update prometheus FAQs * feat(auth_checks.py): ensure specific model access > wildcard model access if wildcard model is in access group, but specific model is not - deny access * fix(auth_checks.py): handle auth checks for team based model access groups handles scenario where model access group used for wildcard models * fix(internal_user_endpoints.py): support adding guardrails on `/user/update` Fixes https://github.com/BerriAI/litellm/issues/6942 * fix(key_management_endpoints.py): fix prepare_metadata_fields helper * fix: fix tests * build(requirements.txt): bump openai dep version fixes proxies argument * test: fix tests * fix(http_handler.py): fix error message masking * fix(bedrock_guardrails.py): pass in prepped data * test: fix test * test: fix nvidia nim test * fix(http_handler.py): return original response headers * fix: revert maskedhttpstatuserror * test: update tests * test: cleanup test * fix(key_management_endpoints.py): fix metadata field update logic * fix(key_management_endpoints.py): maintain initial order of guardrails in key update * fix(key_management_endpoints.py): handle prepare metadata * fix: fix linting errors * fix: fix linting errors * fix: fix linting errors * fix: fix key management errors * fix(key_management_endpoints.py): update metadata * test: update test * refactor: add more debug statements * test: skip flaky test * test: fix test * fix: fix test * fix: fix update metadata logic * fix: fix test * ci(config.yml): change db url for e2e ui testing * test: add more debug logs to langsmith * fix: test change * build(config.yml): fix db url ' |
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Krish Dholakia
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859b47f08b
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LiteLLM Minor Fixes & Improvements (11/29/2024) (#6965)
* fix(factory.py): ensure tool call converts image url Fixes https://github.com/BerriAI/litellm/issues/6953 * fix(transformation.py): support mp4 + pdf url's for vertex ai Fixes https://github.com/BerriAI/litellm/issues/6936 * fix(http_handler.py): mask gemini api key in error logs Fixes https://github.com/BerriAI/litellm/issues/6963 * docs(prometheus.md): update prometheus FAQs * feat(auth_checks.py): ensure specific model access > wildcard model access if wildcard model is in access group, but specific model is not - deny access * fix(auth_checks.py): handle auth checks for team based model access groups handles scenario where model access group used for wildcard models * fix(internal_user_endpoints.py): support adding guardrails on `/user/update` Fixes https://github.com/BerriAI/litellm/issues/6942 * fix(key_management_endpoints.py): fix prepare_metadata_fields helper * fix: fix tests * build(requirements.txt): bump openai dep version fixes proxies argument * test: fix tests * fix(http_handler.py): fix error message masking * fix(bedrock_guardrails.py): pass in prepped data * test: fix test * test: fix nvidia nim test * fix(http_handler.py): return original response headers * fix: revert maskedhttpstatuserror * test: update tests * test: cleanup test * fix(key_management_endpoints.py): fix metadata field update logic * fix(key_management_endpoints.py): maintain initial order of guardrails in key update * fix(key_management_endpoints.py): handle prepare metadata * fix: fix linting errors * fix: fix linting errors * fix: fix linting errors * fix: fix key management errors * fix(key_management_endpoints.py): update metadata * test: update test * refactor: add more debug statements * test: skip flaky test * test: fix test * fix: fix test * fix: fix update metadata logic * fix: fix test * ci(config.yml): change db url for e2e ui testing |
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Krish Dholakia
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21156ff5d0
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LiteLLM Minor Fixes & Improvements (11/27/2024) (#6943)
* fix(http_parsing_utils.py): remove `ast.literal_eval()` from http utils Security fix - https://huntr.com/bounties/96a32812-213c-4819-ba4e-36143d35e95b?token=bf414bbd77f8b346556e 64ab2dd9301ea44339910877ea50401c76f977e36cdd78272f5fb4ca852a88a7e832828aae1192df98680544ee24aa98f3cf6980d8 bab641a66b7ccbc02c0e7d4ddba2db4dbe7318889dc0098d8db2d639f345f574159814627bb084563bad472e2f990f825bff0878a9 e281e72c88b4bc5884d637d186c0d67c9987c57c3f0caf395aff07b89ad2b7220d1dd7d1b427fd2260b5f01090efce5250f8b56ea2 c0ec19916c24b23825d85ce119911275944c840a1340d69e23ca6a462da610 * fix(converse/transformation.py): support bedrock apac cross region inference Fixes https://github.com/BerriAI/litellm/issues/6905 * fix(user_api_key_auth.py): add auth check for websocket endpoint Fixes https://github.com/BerriAI/litellm/issues/6926 * fix(user_api_key_auth.py): use `model` from query param * fix: fix linting error * test: run flaky tests first |
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Krish Dholakia
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2d2931a215
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LiteLLM Minor Fixes & Improvements (11/26/2024) (#6913)
* docs(config_settings.md): document all router_settings
* ci(config.yml): add router_settings doc test to ci/cd
* test: debug test on ci/cd
* test: debug ci/cd test
* test: fix test
* fix(team_endpoints.py): skip invalid team object. don't fail `/team/list` call
Causes downstream errors if ui just fails to load team list
* test(base_llm_unit_tests.py): add 'response_format={"type": "text"}' test to base_llm_unit_tests
adds complete coverage for all 'response_format' values to ci/cd
* feat(router.py): support wildcard routes in `get_router_model_info()`
Addresses https://github.com/BerriAI/litellm/issues/6914
* build(model_prices_and_context_window.json): add tpm/rpm limits for all gemini models
Allows for ratelimit tracking for gemini models even with wildcard routing enabled
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): add tpm/rpm tracking on success/failure to global_router
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): support wildcard routes on router.get_model_group_usage()
* fix(router.py): fix linting error
* fix(router.py): implement get_remaining_tokens_and_requests
Addresses https://github.com/BerriAI/litellm/issues/6914
* fix(router.py): fix linting errors
* test: fix test
* test: fix tests
* docs(config_settings.md): add missing dd env vars to docs
* fix(router.py): check if hidden params is dict
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Krish Dholakia
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8673f2541e
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fix(key_management_endpoints.py): fix user-membership check when creating team key (#6890)
* fix(key_management_endpoints.py): fix user-membership check when creating team key * docs: add deprecation notice on original `/v1/messages` endpoint + add better swagger tags on pass-through endpoints * fix(gemini/): fix image_url handling for gemini Fixes https://github.com/BerriAI/litellm/issues/6897 * fix(teams.tsx): fix member add when role is 'user' * fix(team_endpoints.py): /team/member_add fix adding several new members to team * test(test_vertex.py): remove redundant test * test(test_proxy_server.py): fix team member add tests |
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Krish Dholakia
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7e5085dc7b
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Litellm dev 11 21 2024 (#6837)
* Fix Vertex AI function calling invoke: use JSON format instead of protobuf text format. (#6702) * test: test tool_call conversion when arguments is empty dict Fixes https://github.com/BerriAI/litellm/issues/6833 * fix(openai_like/handler.py): return more descriptive error message Fixes https://github.com/BerriAI/litellm/issues/6812 * test: skip overloaded model * docs(anthropic.md): update anthropic docs to show how to route to any new model * feat(groq/): fake stream when 'response_format' param is passed Groq doesn't support streaming when response_format is set * feat(groq/): add response_format support for groq Closes https://github.com/BerriAI/litellm/issues/6845 * fix(o1_handler.py): remove fake streaming for o1 Closes https://github.com/BerriAI/litellm/issues/6801 * build(model_prices_and_context_window.json): add groq llama3.2b model pricing Closes https://github.com/BerriAI/litellm/issues/6807 * fix(utils.py): fix handling ollama response format param Fixes https://github.com/BerriAI/litellm/issues/6848#issuecomment-2491215485 * docs(sidebars.js): refactor chat endpoint placement * fix: fix linting errors * test: fix test * test: fix test * fix(openai_like/handler): handle max retries * fix(streaming_handler.py): fix streaming check for openai-compatible providers * test: update test * test: correctly handle model is overloaded error * test: update test * test: fix test * test: mark flaky test --------- Co-authored-by: Guowang Li <Guowang@users.noreply.github.com> |
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Ishaan Jaff
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434b1d3d86
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(refactor) anthropic - move _process_response in transformation.py (#6834)
* move _process_response in transformation * fix AnthropicConfig test |
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Krish Dholakia
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b0be5bf3a1
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LiteLLM Minor Fixes & Improvements (11/19/2024) (#6820)
* fix(anthropic/chat/transformation.py): add json schema as values: json_schema fixes passing pydantic obj to anthropic Fixes https://github.com/BerriAI/litellm/issues/6766 * (feat): Add timestamp_granularities parameter to transcription API (#6457) * Add timestamp_granularities parameter to transcription API * add param to the local test * fix(databricks/chat.py): handle max_retries optional param handling for openai-like calls Fixes issue with calling finetuned vertex ai models via databricks route * build(ui/): add team admins via proxy ui * fix: fix linting error * test: fix test * docs(vertex.md): refactor docs * test: handle overloaded anthropic model error * test: remove duplicate test * test: fix test * test: update test to handle model overloaded error --------- Co-authored-by: Show <35062952+BrunooShow@users.noreply.github.com> |
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Krish Dholakia
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ba28e52ee8
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Litellm lm studio embedding params (#6746)
* fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * fix(lm_studio/embed): support translating lm studio optional params ' * feat(auth_checks.py): fix auth check inside route - `/team/list` Fixes regression where non-admin w/ user_id=None able to query all teams * docs proxy_budget_rescheduler_min_time * helm run DISABLE_SCHEMA_UPDATE * docs helm pre sync hook * fix migration job.yaml * fix DATABASE_URL * use existing spec for migrations job * fix yaml on migrations job * fix migration job * update doc on pre sync hook * fix migrations-job.yaml * fix migration job * fix prisma migration * test - handle eol model claude-2, use claude-2.1 instead * (docs) add instructions on how to contribute to docker image * Update code blocks huggingface.md (#6737) * Update prefix.md (#6734) * fix test_supports_response_schema * mark Helm PreSyn as BETA * (Feat) Add support for storing virtual keys in AWS SecretManager (#6728) * add SecretManager to httpxSpecialProvider * fix importing AWSSecretsManagerV2 * add unit testing for writing keys to AWS secret manager * use KeyManagementEventHooks for key/generated events * us event hooks for key management endpoints * working AWSSecretsManagerV2 * fix write secret to AWS secret manager on /key/generate * fix KeyManagementSettings * use tasks for key management hooks * add async_delete_secret * add test for async_delete_secret * use _delete_virtual_keys_from_secret_manager * fix test secret manager * test_key_generate_with_secret_manager_call * fix check for key_management_settings * sync_read_secret * test_aws_secret_manager * fix sync_read_secret * use helper to check when _should_read_secret_from_secret_manager * test_get_secret_with_access_mode * test - handle eol model claude-2, use claude-2.1 instead * docs AWS secret manager * fix test_read_nonexistent_secret * fix test_supports_response_schema * ci/cd run again * LiteLLM Minor Fixes & Improvement (11/14/2024) (#6730) * fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * test: handle gemini error * test: fix test * fix: new run * bump: version 1.52.7 → 1.52.8 * docs: add docs on jina ai rerank support * docs(reliability.md): add tutorial on disabling fallbacks per key * docs(logging.md): add 'trace_id' param to standard logging payload * (feat) add bedrock/stability.stable-image-ultra-v1:0 (#6723) * add stability.stable-image-ultra-v1:0 * add pricing for stability.stable-image-ultra-v1:0 * fix test_supports_response_schema * ci/cd run again * [Feature]: Stop swallowing up AzureOpenAi exception responses in litellm's implementation for a BadRequestError (#6745) * fix azure exceptions * test_bad_request_error_contains_httpx_response * test_bad_request_error_contains_httpx_response * use safe access to get exception response * fix get attr * [Feature]: json_schema in response support for Anthropic (#6748) * _convert_tool_response_to_message * fix ModelResponseIterator * fix test_json_response_format * test_json_response_format_stream * fix _convert_tool_response_to_message * use helper _handle_json_mode_chunk * fix _process_response * unit testing for test_convert_tool_response_to_message_no_arguments * update doc for JSON mode * fix: import audio check (#6740) * fix imagegeneration output_cost_per_image on model cost map (#6752) * (feat) Vertex AI - add support for fine tuned embedding models (#6749) * fix use fine tuned vertex embedding models * test_vertex_embedding_url * add _transform_openai_request_to_fine_tuned_embedding_request * add _transform_openai_request_to_fine_tuned_embedding_request * add transform_openai_request_to_vertex_embedding_request * add _transform_vertex_response_to_openai_for_fine_tuned_models * test_vertexai_embedding for ft models * fix test_vertexai_embedding_finetuned * doc fine tuned / custom embedding models * fix test test_partner_models_httpx * bump: version 1.52.8 → 1.52.9 * LiteLLM Minor Fixes & Improvements (11/13/2024) (#6729) * fix(utils.py): add logprobs support for together ai Fixes https://github.com/BerriAI/litellm/issues/6724 * feat(pass_through_endpoints/): add anthropic/ pass-through endpoint adds new `anthropic/` pass-through endpoint + refactors docs * feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id enables seeing spend for a customer in a team * Add integration with MLflow Tracing (#6147) * Add MLflow logger Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Streaming handling Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * lint Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Move logger construction code Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Add docs Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * async handlers Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * new picture Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * fix(mlflow.py): fix ruff linting errors * ci(config.yml): add mlflow to ci testing * fix: fix test * test: fix test * Litellm key update fix (#6710) * 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> * test: update test * test: skip anthropic overloaded error * test: cleanup test * test: update tests * test: fix test * test: handle gemini overloaded model error * test: handle internal server error * test: handle anthropic overloaded error * test: handle claude instability --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> 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> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Jongseob Jeon <aiden.jongseob@gmail.com> Co-authored-by: Camden Clark <camdenaws@gmail.com> Co-authored-by: Rasswanth <61219215+IamRash-7@users.noreply.github.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> |
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Ishaan Jaff
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160357d54c
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(fix) Azure AI Studio - using image_url in content with both text and image_url (#6774)
* use helper _audio_or_image_in_message_content * update azure ai transf * test_azure_ai_with_image_url |
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Krish Dholakia
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3beecfb0d4
|
LiteLLM Minor Fixes & Improvements (11/13/2024) (#6729)
* fix(utils.py): add logprobs support for together ai Fixes https://github.com/BerriAI/litellm/issues/6724 * feat(pass_through_endpoints/): add anthropic/ pass-through endpoint adds new `anthropic/` pass-through endpoint + refactors docs * feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id enables seeing spend for a customer in a team * Add integration with MLflow Tracing (#6147) * Add MLflow logger Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Streaming handling Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * lint Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Move logger construction code Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Add docs Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * async handlers Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * new picture Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * fix(mlflow.py): fix ruff linting errors * ci(config.yml): add mlflow to ci testing * fix: fix test * test: fix test * Litellm key update fix (#6710) * 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> * test: update test * test: skip anthropic overloaded error * test: cleanup test * test: update tests * test: fix test * test: handle gemini overloaded model error * test: handle internal server error * test: handle anthropic overloaded error * test: handle claude instability --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> 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> |
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Ishaan Jaff
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c119bad5f9
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(feat) Vertex AI - add support for fine tuned embedding models (#6749)
* fix use fine tuned vertex embedding models * test_vertex_embedding_url * add _transform_openai_request_to_fine_tuned_embedding_request * add _transform_openai_request_to_fine_tuned_embedding_request * add transform_openai_request_to_vertex_embedding_request * add _transform_vertex_response_to_openai_for_fine_tuned_models * test_vertexai_embedding for ft models * fix test_vertexai_embedding_finetuned * doc fine tuned / custom embedding models * fix test test_partner_models_httpx |
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Ishaan Jaff
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6ae0bc4a11
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[Feature]: json_schema in response support for Anthropic (#6748)
* _convert_tool_response_to_message * fix ModelResponseIterator * fix test_json_response_format * test_json_response_format_stream * fix _convert_tool_response_to_message * use helper _handle_json_mode_chunk * fix _process_response * unit testing for test_convert_tool_response_to_message_no_arguments * update doc for JSON mode |
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Krish Dholakia
|
e9aa492af3
|
LiteLLM Minor Fixes & Improvement (11/14/2024) (#6730)
* fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * test: handle gemini error * test: fix test * fix: new run |
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Ishaan Jaff
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6d4cf2d908
|
(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 |
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Ishaan Jaff
|
9d20c19e0c
|
(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 |
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Krish Dholakia
|
f59cb46e71
|
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 |
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Krish Dholakia
|
73531f4815
|
Litellm dev 11 08 2024 (#6658)
* 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 |
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Krish Dholakia
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27e18358ab
|
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 |
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Krish Dholakia
|
5c55270740
|
LiteLLM Minor Fixes & Improvements (11/04/2024) (#6572)
* 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> |
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Ishaan Jaff
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96b0e324e3
|
(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 |
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Ishaan Jaff
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c047d51cc8
|
(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 |
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Ishaan Jaff
|
58ce30acee
|
(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 |
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Ishaan Jaff
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67ddf55ebd
|
fix ImageObject conversion (#6584) | ||
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Krish Dholakia
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22b8f93f53
|
LiteLLM Minor Fixes & Improvements (11/01/2024) (#6551)
* fix: add lm_studio support * fix(cohere_transformation.py): fix transformation logic for azure cohere embedding model name Fixes https://github.com/BerriAI/litellm/issues/6540 * fix(utils.py): require base64 str to begin with `data:` Fixes https://github.com/BerriAI/litellm/issues/6541 * fix: cleanup tests * docs(guardrails.md): fix typo * fix(opentelemetry.py): move to `.exception` and update 'response_obj' value to handle 'None' case Fixes https://github.com/BerriAI/litellm/issues/6510 * fix: fix linting noqa placement |
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Krish Dholakia
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f79365df6e
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LiteLLM Minor Fixes & Improvements (10/30/2024) (#6519)
* 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> |
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Ishaan Jaff
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5652c375b3
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(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 |
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Ishaan Jaff
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cf877c89ec
|
(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> |
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Krrish Dholakia
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aa4c2827e8 | test: refactor gemini test to use mock, prevent ratelimit error | ||
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Krish Dholakia
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1e403a8447
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Litellm dev 10 29 2024 (#6502)
* 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> |
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Krish Dholakia
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6b9be5092f
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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> |
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Krish Dholakia
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f44ab00de2
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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 |
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Krish Dholakia
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1cd1d23fdf
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LiteLLM Minor Fixes & Improvements (10/23/2024) (#6407)
* docs(bedrock.md): clarify bedrock auth in litellm docs * fix(convert_dict_to_response.py): Fixes https://github.com/BerriAI/litellm/issues/6387 * feat(pattern_match_deployments.py): more robust handling for wildcard routes (model_name: custom_route/* -> openai/*) Enables user to expose custom routes to users with dynamic handling * test: add more testing * docs(custom_pricing.md): add debug tutorial for custom pricing * test: skip codestral test - unreachable backend * test: fix test * fix(pattern_matching_deployments.py): fix typing * 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 --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> |
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Ishaan Jaff
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182adec7d0
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def test_text_completion_with_echo(stream): (#6401)
test |
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Krish Dholakia
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cb2563e3c0
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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
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Ishaan Jaff
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274bf3e48d
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(fix) get_response_headers for Azure OpenAI (#6344)
* fix get_response_headers * unit testing for get headers * unit testing for anthropic / azure openai headers * increase test coverage for test_completion_response_ratelimit_headers * fix test rate limit headers |
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Ishaan Jaff
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f4630a09bb
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fix - unhandled jsonDecodeError in convert_to_model_response_object (#6338)
* fix unhandled jsonDecodeError * add unit testing for convert dict to chat completion |
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Krish Dholakia
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7cc12bd5c6
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LiteLLM Minor Fixes & Improvements (10/18/2024) (#6320)
* fix(converse_transformation.py): handle cross region model name when getting openai param support Fixes https://github.com/BerriAI/litellm/issues/6291 * LiteLLM Minor Fixes & Improvements (10/17/2024) (#6293) * fix(ui_sso.py): fix faulty admin only check Fixes https://github.com/BerriAI/litellm/issues/6286 * refactor(sso_helper_utils.py): refactor /sso/callback to use helper utils, covered by unit testing Prevent future regressions * feat(prompt_factory): support 'ensure_alternating_roles' param Closes https://github.com/BerriAI/litellm/issues/6257 * fix(proxy/utils.py): add dailytagspend to expected views * feat(auth_utils.py): support setting regex for clientside auth credentials Fixes https://github.com/BerriAI/litellm/issues/6203 * build(cookbook): add tutorial for mlflow + langchain + litellm proxy tracing * feat(argilla.py): add argilla logging integration Closes https://github.com/BerriAI/litellm/issues/6201 * fix: fix linting errors * fix: fix ruff error * test: fix test * fix: update vertex ai assumption - parts not always guaranteed (#6296) * docs(configs.md): add argila env var to docs * docs(user_keys.md): add regex doc for clientside auth params * docs(argilla.md): add doc on argilla logging * docs(argilla.md): add sampling rate to argilla calls * bump: version 1.49.6 → 1.49.7 * add gpt-4o-audio models to model cost map (#6306) * (code quality) add ruff check PLR0915 for `too-many-statements` (#6309) * ruff add PLR0915 * add noqa for PLR0915 * fix noqa * add # noqa: PLR0915 * # noqa: PLR0915 * # noqa: PLR0915 * # noqa: PLR0915 * add # noqa: PLR0915 * # noqa: PLR0915 * # noqa: PLR0915 * # noqa: PLR0915 * # noqa: PLR0915 * doc fix Turn on / off caching per Key. (#6297) * (feat) Support `audio`, `modalities` params (#6304) * add audio, modalities param * add test for gpt audio models * add get_supported_openai_params for GPT audio models * add supported params for audio * test_audio_output_from_model * bump openai to openai==1.52.0 * bump openai on pyproject * fix audio test * fix test mock_chat_response * handle audio for Message * fix handling audio for OAI compatible API endpoints * fix linting * fix mock dbrx test * (feat) Support audio param in responses streaming (#6312) * add audio, modalities param * add test for gpt audio models * add get_supported_openai_params for GPT audio models * add supported params for audio * test_audio_output_from_model * bump openai to openai==1.52.0 * bump openai on pyproject * fix audio test * fix test mock_chat_response * handle audio for Message * fix handling audio for OAI compatible API endpoints * fix linting * fix mock dbrx test * add audio to Delta * handle model_response.choices.delta.audio * fix linting * build(model_prices_and_context_window.json): add gpt-4o-audio audio token cost tracking * refactor(model_prices_and_context_window.json): refactor 'supports_audio' to be 'supports_audio_input' and 'supports_audio_output' Allows for flag to be used for openai + gemini models (both support audio input) * feat(cost_calculation.py): support cost calc for audio model Closes https://github.com/BerriAI/litellm/issues/6302 * feat(utils.py): expose new `supports_audio_input` and `supports_audio_output` functions Closes https://github.com/BerriAI/litellm/issues/6303 * feat(handle_jwt.py): support single dict list * fix(cost_calculator.py): fix linting errors * fix: fix linting error * fix(cost_calculator): move to using standard openai usage cached tokens value * test: fix test --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> |