Update dependency mlflow to v3 #25
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This PR contains the following updates:
==1.20.0→==3.8.1Release Notes
mlflow/mlflow (mlflow)
v3.8.1Compare Source
MLflow 3.8.1 includes several bug fixes and documentation updates.
Bug fixes:
Small bug fixes and documentation updates:
#19539, #19451, #19409, @smoorjani; #19493, @alkispoly-db
v3.8.0Compare Source
MLflow 3.8.0 includes several major features and improvements
Major Features
get_judgeAPI enables using DeepEval's evaluation metrics as MLflow scorers, providing access to 20+ evaluation metrics including answer relevancy, faithfulness, and hallucination detection. (#18988, @smoorjani)Important Notice
MLFLOW_DISABLE_TELEMETRY=trueorDO_NOT_TRACK=true. If you do not manage your own server (e.g. you use a managed service or are not the admin), you can still opt out personally via the new "Settings" tab in the MLflow UI. For more information, please read the documentation on usage tracking.Features:
--max-resultsoption to mlflow experiments search (#19359, @alkispoly-db)Bug fixes:
_search_runsfor dataset filters (#19498, @fredericosantos)Documentation updates:
mlflow.genai.evaluate()(#19380, @brandonhawi)Small bug fixes and documentation updates:
#19497, #19358, #19322, #19383, #19288, #19287, #19230, #19225, @xsh310; #19504, @WeichenXu123; #19499, #19465, #19241, @B-Step62; #19479, #19385, #19297, #19347, #19314, #19286, #19269, @TomeHirata; #18894, @BnnaFish; #19480, #19427, #19351, #19312, #19292, #19303, #19291, #19418, #19395, #19240, #19267, #19102, #19082, #19076, @daniellok-db; #19463, #19370, #19369, #19368, #19367, #19366, #19363, #19354, #19302, #19272, #19266, #19258, #19255, #19242, #19236, #19235, #19203, #19214, #19212, #19210, #19204, #19197, #19196, #19194, #19190, #19182, #19178, #19179, #19163, #19157, #19150, #19137, #19132, #19114, #19115, #19113, #19112, #19111, #19110, #19107, #19091, #19090, #19078, @copilot-swe-agent; #19437, @SomtochiUmeh; #19420, #19329, #19317, #19207, #19086, @kevin-lyn; #19339, #19263, #19438, #19412, #19411, #19355, #19341, #19034, #19029, #19252, @smoorjani; #19416, #19399, #19402, #19353, #19313, #19296, #19294, #19264, #19202, #19206, #19165, #19161, #19158, #19126, #19147, #19099, @harupy; #19357, #19343, #19342, #19335, #19261, #19226, #19227, @BenWilson2; #19344, #19331, #19270, #19239, #19211, @serena-ruan; #19323, @bbqiu; #19373, @alkispoly-db; #19320, #19311, @kriscon-db; #19309, @stefanwayon; #19063, @cyficowley; #19160, @Killian-fal; #19142, #19141, @dbczumar; #19089, @hubertzub-db; #19098, @achen530
v3.7.0Compare Source
MLflow 3.7.0 includes several major features and improvements for GenAI Observability, Evaluation, and Prompt Management.
Major Features
mlflow.genai.evaluatenow supports multi-turn conversations, enabling comprehensive assessment of conversational AI applications with DataFrame and list inputs. (#18971, @AveshCSingh)make_judgeAPI now supports structured outputs, enabling more precise and programmatically consumable evaluation results. (#18529, @TomeHirata)Breaking Changes
divinerflavor (#18808, @copilot-swe-agent)promptflowflavor (#18805, @copilot-swe-agent)Features
--builtin/-bflag tomlflow scorers listcommand (#19095, @alkispoly-db)Bug Fixes
_delete_trace_tag_v3API (#18813, @Tian-Sky-Lan)/v1/tracesendpoint to return protobuf instead of JSON (#18929, @copilot-swe-agent)click!=8.3.0in MCP extra to fix MCP server failure (#18748, @copilot-swe-agent)uvinstallation command for external users (#18745, @copilot-swe-agent)InstructionsJudgeusing scorer description as assessment value (#19121, @alkispoly-db)evaluate_tracesMCP tool error: useresult_dfinstead oftables(#18825, @alkispoly-db)anthropic_versionfield (#17744, @harupy)SqlLoggedModelMetricassociation withexperiment_id(#18382, @mcompen)LoggedModelOutput.to_dictionary()soLoggedModelOutputand runs containing them can be JSON serialized (#19017, @nicklamiller)mlflow gcto remove model artifacts (#17282, @joelrobin18)Sentinel.UNSEThandling in MCP server (#18858, @harupy)Documentation Updates
prompt_template(#19105, @ingo-stallknecht)make_judgeAPI and direct judge invocation (#18897, @xsh310)mlflow gccommand behavior for pinned runs and registered models (#18704, @copilot-swe-agent)Small bug fixes and documentation updates:
#19220, #19140, #19141, #18984, #18985, #18822, @dbczumar; #19148, @ingo-stallknecht; #19183, #19201, #19130, #19049, #19030, #18778, #18780, #18556, #18555, @serena-ruan; #19153, #19181, #18784, #18783, #18802, #18881, #18695, #18879, #18782, #18845, #18787, #18786, #18590, @B-Step62; #19208, #19021, #19023, #18723, #18622, @smoorjani; #13314, @alokshenoy; #19138, #19171, #19146, #19067, #19064, #19045, #18968, #18967, #19018, #18966, #18990, #18912, @xsh310; #19168, @mcompen; #19145, #18702, #18642, @BenWilson2; #19126, #19022, #18951, #18887, #18954, #18949, #18934, #18914, #18903, #18877, #18859, #18838, #18828, #18821, #18717, #18710, #18756, #18713, @harupy; #18890, #18862, #18836, #18792, #18818, #18579, @TomeHirata; #19084, #18886, #18911, #18904, #18885, #18837, #18795, #18646, @daniellok-db; #18992, #19025, #19020, #18950, @kevin-lyn; #19069, #19072, #19043, #19027, #19028, #19019, #18995, #18997, #18989, #18991, #18987, #18983, #18980, #18979, #18974, #18972, #18969, #18948, #18940, #18942, #18939, #18938, #18933, #18932, #18931, #18915, #18882, #18865, #18861, #18860, #18846, #18841, #18830, #18824, #18823, #18819, #18789, #18804, #18779, #18775, #18772, #18704, #18606, #18748, #18746, #18745, #18743, #18732, #18737, #18736, #18729, #18718, #18703, #18693, #18686, #18682, #18633, #18675, #18671, #18653, #18652, @copilot-swe-agent; #19001, #18945, [@danielseo
Configuration
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