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feat(deps): Update dependency kfp-server-api to v2.2.0 #563

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@plural-renovate plural-renovate bot commented Mar 26, 2024 •
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This PR contains the following updates:

Package Update Change
kfp-server-api minor ==2.0.5 -> ==2.2.0

Release Notes

kubeflow/pipelines (kfp-server-api)

v2.2.0

Compare Source

Features
  • backend: add namespace & prefix scoped credentials to kfp-launcher config for object store paths (#​10625) (5e0f9b1)
  • backend: Merge kfp-tekton backend code (#​10678) (60a443e)
  • backend: Upgrade argo to v3.4.16 (#​10568) (809d576)
  • components: Add model name preprocess component; Use publisher model if user uploaded model is non-tuned (084f2c2)
  • components: add resolve_machine_spec and resolve_refined_image_uri to rlhf_preprocessor component (2a8d39e)
  • components: add resolve_reference_model_metadata to rlhf_preprocessor component (92a7969)
  • components: add task_type as a parameter to rlaif (64d288a)
  • components: Added support for text-bison@002 to preview.llm.rlhf_pipeline (2f27751)
  • components: AutoSxS GA pending release (aee464c)
  • components: Expand regions supported by preview.llm.rlhf_pipeline (22a98d9)
  • components: internal (a4f01b7)
  • components: Introduce placeholders: SERVICE_ACCOUNT_PLACEHOLDER, NETWORK_PLACEHOLDER, PERSISTENT_RESOURCE_ID_PLACEHOLDER and ENCYRPTION_SPEC_KMS_KEY_NAME_PLACEHOLDER. In addition, use PERSISTENT_RESOURCE_ID_PLACEHOLDER as the default value of persistent_resource_id for CustomTrainingJobOp and create_custom_training_job_op_from_component. With this change, custom job created without explicitly setting persistent_resource_id will inherit job level persistent_resource_id, if Persistent Resource is set as job level runtime (67d3cd6)
  • components: migrate function_based convert_to_delimited_string to rlhf_preprocessor component (efefe34)
  • components: migrate function_based resolve_num_microbatches to rlhf_preprocessor component (ee28c72)
  • components: migrate function_based resolve_regional_endpoint to rlhf_preprocessor component (f175c71)
  • components: Move AutoSxS pipeline to v1 directory (d919ae7)
  • components: Move ModelImportEvaluationOp component to preview namespace (33db128)
  • components: Report TensorBoard metrics for preview.llm.rlhf_pipeline in real time (3d8069b)
  • components: Use larger base reward model when tuning t5-xxl with the preview.llm.rlhf_pipeline (ff7f660)
  • components: Use larger base reward model when tuning text and chat variants of bison@001 with the preview.llm.rlhf_pipeline (ac39931)
  • components: use rlhf_preprocessor to replace the current value_exists call in rlhf (c967d9f)
  • kubernetes_platform: Update kubernetes_platform go package to include generic ephemerl volume (#​10602) (2fc1492)
  • kubernetes_platform: Update kubernetes_platform go package to include node affinities and pod (anti)affinities (#​10583) (4f8cae2)
  • sdk+backend: Add support for generic ephemeral volume (#​10605) (3fb76a8)
Bug Fixes
  • backend: Update backend common code and integration tests with updated API Service Params (#​10640) (8b2a099)
  • Backend + SDK: Add missing optional field to SecretAsVolume and … (#​10550) (a78dc77)
  • components: Ensure preview.llm.rlhf_pipeline runs if no tensorboard_id is provided (ff0d0a7)
  • components: Fix image version parameter in rl pipelines (cef6e51)
  • components: Fix model eval import error in text generation/classification eval pipeline (7630f85)
  • components: Make AutoSxS autorater_prompt_parameters required (df20088)
  • components: remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source (54f2e45)
  • components: Remove the unused functions from function_based (e052dc8)
  • components: Remove the unused generate_default_instruction and resolve_upload_location from function_based (e9d8764)
  • components: Remove the unused resolve_data_paths from function_based (c386913)
  • components: Update service account comment (bf444ac)
  • metadata envoy: upgrade envoy and config from 1.12 to 1.27 (#​10589) (96aaad9)
Other Pull Requests
  • No public description (cab99f7)
  • No public description (79d0a5c)
  • Update loop_output.py example for the new parallel loop type requirement (#​10637) (afddae9)

v2.1.0

Compare Source

Features
  • backend: Enable logging for KFP components (#​10288) (5399585)
  • backend: preserve querystring in pipeline root (fixes #​10318) (#​10319) (9a30612)
  • backend: Upgrade go version to 1.20 (#​10502) (b96b7bc)
  • backend + SDK: Add Backend and SDK support for timeout in pod spec (#​10481) (b734420)
  • backend + SDK: Add backend and SDK support to use Kubernetes FieldPath as env (#​10496) (dd0c17d)
  • Backend + SDK: Update kfp backend and kubernetes sdk to support ConfigMaps as volumes and as env variables (#​10483) (1edd85f)
  • Backend + SDK: Update kfp backend and kubernetes sdk to support ImagePullPolicy (#​10417) (83cabab)
  • Backend + SDK: Update kfp backend and kubernetes sdk to support ImagePullSecrets (#​10427) (1582e0a)
  • Backend + SDK: Update kfp backend and kubernetes sdk to support pod labels and annotations (#​10393) (b3978c1)
  • Backend + SDK: Update kfp backend and kubernetes sdk to support tolerations (#​10471) (2983a7d)
  • component: Migrate AutoSxS pipeline to preview and move related files to _implementation/llm directory to help Model Eval team use side by side metrics as part of their pipeline (3d62d26)
  • components: Add num_microbatches to _implementation.llm training components (685634d)
  • components: Add better docstrings for AutoSxS (9f8495d)
  • components: Add CMEK support to preview.llm.rlhf_pipeline (3dbf3cf)
  • components: Add CMEK support to AutoSxS pipeline (8ccd7a1)
  • components: Add CMEK validation to preview.llm.infer_pipeline (b7ea6e7)
  • components: Add configurable image prefix to llm utility method (544d1fd)
  • components: Add location validation to preview.llm.rlhf_pipeline (361c16f)
  • components: Add RLAIF pipeline to preview (d4c3f35)
  • components: Added experimental args to batch_prediction_pairwise component (f00df96)
  • components: Bump image tag used by preview.llm pipelines (9007fb0)
  • components: change output format to allow possible post eval (44f9992)
  • components: Copy text generation eval and text classification evak pipelines from preview to v1 (6ce3dc5)
  • components: Enable text generation pipeline to generate row based metrics (efeed83)
  • components: Implement new component to preprocess and validate inputs for rlhf (0ece6d0)
  • components: Implement new output format of inference component (4e1491a)
  • components: Implement the feature store grounding pipeline (d73c6db)
  • components: Implement the train time evaluation in reward model training. With the train time eval dataset available, the pipeline outputs the accuracy and cross entropy metrics to the log (731cb81)
  • components: Output errors as a separate table from Arbiter (a66c599)
  • components: Release Forecasting training pipelines to V1 namespace (ab549ef)
  • components: Release Forecasting training pipelines to V1 namespace (1f6ada6)
  • components: Release new LLM Eval image version 0.5 (8c59816)
  • components: support aliases arg in ModelUploadOp (bce8487)
  • components: Support scheduling and labels in utils.build_payload (4bb3423)
  • components: Update _LLM_EVAL_VERSION to v0.6 (1b65da4)
  • components: update eval pipeline documentation to clarify the required pipeline parameters (06ddf94)
  • components: Update LLM Evaluation Pipelines to use text-bison@002 model by default (83cb88f)
  • components: Use a single inference component for AutoSxS (8c7b5b2)
  • kubernetes_platform: Add ActiveDeadlineSeconds(timeout) to the kubernetes platform spec (#​10464) (1fcc681)
  • kubernetes_platform: Add k8s FieldPath as env to the kubernetes_platform (#​10485) (b9ae095)
  • kubernetes_platform: Update kubernetes_platform go package to i… (#​10442) (6fb997a)
  • kubernetes_platform: Update kubernetes_platform go package to include ConfigMaps as volumes and as env variables. (#​10400) (6cc234b)
  • kubernetes_platform: Update kubernetes_platform go package to include imagePullPolicy. (#​10416) (f51dc39)
  • kubernetes_platform: Update kubernetes_platform go package to include ImagePullSecrets (#​10410) (1c9ac5c)
  • kubernetes_platform: Update kubernetes_platform go package to include pod labels and annotations (#​10357) (daa7299)
  • sdk: add DockerRunner #localexecution (#​10328) (adc5b3b)
  • sdk: add local execution logging #localexecution (#​10326) (7849272)
  • sdk: add local execution output collection #localexecution (#​10325) (76aad8b)
  • sdk: add local execution skeleton #localexecution (#​10292) (5cd708d)
  • sdk: add special dsl.OutputPath read logic #localexecution (#​10334) (654bbde)
  • sdk: add subprocess task handler #localexecution (#​10302) (21f8e9c)
  • sdk: remove local execution feature flag #localexecution (#​10355) (8a5a17e)
  • sdk: support Concat and IfPresent placeholder in local container component execution #localexecution (#​10348) (2897a10)
  • sdk: Support dsl.ParallelFor over list of Artifacts (#​10441) (b528568)
  • sdk: support f-strings in local pipeline execution (#​10435) (977bffc)
  • sdk: support local Container Component execution #localexecution (#​10333) (846f887)
  • sdk: support local execution of pipelines in pipelines (#​10440) (1fe1c63)
  • sdk: support local pipeline execution (#​10423) (442d457)
Bug Fixes
  • Modified the swagger json files according to the modified proto files. (#​10591) (cc971c9)
  • backend: correct run field map col names (#​10430) (421d65a)
  • backend: fix timeout for internal server error. Fixes #​10267 (#​10439) (25f4478)
  • backend: fixes "cannot save parameter" error message. Fixes #​9678 (#​10459) (1ae0a82)
  • backend: Fixes response status of http error code when uploading duplicate pipeline [Fixes #​10311] (#​10546) (96eb87c)
  • backend: get pipeline by name is broken due to version typo, Fixes #​9940 (#​10268) (e6ddb0c)
  • backend: MLMD pagination on getting executions of DAG (#​10396) (f65bb0f)
  • components: Add autosxs_pipeline to the all variable for the preview/model_evaluation directory (9f165b6)
  • components: Add relevant component and pipeline inputs/outputs to support creating ModelEvaluations as part of the AutoSxS Metrics component (2abe91e)
  • components: Fix missing pipeline parameters (5c06ab4)
  • components: Only run preview.llm.bulk_inference after tuning third-party models with RLHF (b9e08de)
  • components: Pass tuned model checkpoint to inference pipeline after RLHF tuning (755c1f9)
  • components: Propagate location to sub-components in AutoSxS (624fc04)
  • components: Remove the unused resolve_candidate_columns from function_based (a42ded1)
  • components: rename custom task calibration_score_rubric -> score_rubric (0b1553e)
  • components: Resolve unique model display name on each preview.llm.rlhf_pipeline run instead of reusing cached result (075d58f)
  • components: Return None as sliced feature attribution values for the classes which are not predicted in bp outputs (19a24e3)
  • docs: make full version dropdown show on all KFP SDK docs versions (#​10577) (d3e2de4)
  • Modified the comment/text for pipeline_version_id (#​10581) (0f3d17d)
  • components: Update base image for KFP lightweight component for VPC SC compliance (ddb2f9a)
  • components: Update base image for KFP lightweight component for VPC SC compliance (80c9b04)
  • components: Update text generation pipeline input description (05f69b2)
  • components: Upload the tuned adapter to Model Registry instead of model checkpoint from preview.llm.rlhf_pipeline (2e2ba9e)
  • components: Use large_model_reference as model_reference_name when uploading models from preview.llm.rlhf_pipeline instead of hardcoding value as text-bison@001 (f51a930)
  • components: Use llama-2-7b for the base reward model when tuning llama-2-13 with the preview.llm.rlhf_pipeline (227eab1)
  • components: Use PipelineJob location in AutoSxS components, add init file (449c304)
  • components: Write model resource_name to the output of training pipeline remote runner (0f3f68c)
  • docs: Updated legal info due to migration from CLA to DCO (#​10501) (c0cf4ad)
  • frontend: Add disableParsingRawHTML option for markdown-to-jsx component (#​10315) (c6acac9)
  • kubernetes_platform: Add optional field to SecretAsVolume and ConfigMapAsVolume. Fixes #​10548 (#​10549) (9253c7a)
  • rlhf: Supporting adapter only output for reward model training (066f229)
  • samples: Update resource_spec, retry, secret samples to v2 pipelines (#​9876) (a9a433c)
  • samples: Updated samples/core to V2 (#​9879) (1d96903)
  • sdk: fix bug where dsl.OneOf with multiple consumers cannot be compiled (#​10452) (21c5ffe)
  • sdk: fix presentation of strings in local execution #localexecution (#​10353) (89d4234)
  • sdk: fixes type issues for ParallelFor. Fixes #​9366 (#​10436) (fe04a5a)
  • sdk: permit empty local execution outputs #localexecution (#​10338) (64d46df)
  • sdk: Prevents dsl.ParallelFor over single parameter from compiling. (#​10494) (144761c)
  • sdk: remove redundant newline character in local DockerRunner logs (#​10354) (86b7e23)
  • sdk: use kfp.dsl.types to replace kfp.components.types Fixes #​10282 (#​10283) (b40912c)
Other Pull Requests
2.0.5 (2023-12-08)
Features
Bug Fixes
  • components: Append tune-type label when uploading models tuned by preview.llm.rlhf_pipeline (708b8bd)
Other Pull Requests
2.0.4 (2023-12-01)
Features
  • components: [endpoint_batch_predict] add retry function for retryable error (a54ac75)
  • components: [third party model inference] Initialize component (1e089e6)
  • components: Add ability to tune chat model with preview.llm.rlhf_pipeline (f67cbfa)
  • components: Add chat dataset preprocessor to preview.llm.infer_pipeline (d8f2c14)
  • components: add environment variable support to GCPC's create_custom_training_job_from_component (91f50da)
  • components: add LLM Eval pipeline parameter for customizing eval dataset reference ground truth field (f6aad5e)
  • components: Add tuning dataset support to LLM Eval Text Generation and Text Classification Pipelines. Include new LLM Eval Preprocessor component to both pipelines (b55ed6e)
  • components: Create new eval dataset preprocessor for formatting eval dataset (6cfad2b)
  • components: Edit embedding pipeline to use generic batch predict component to support multilingual embeddings model (397b1c9)
  • components: Enable endpoint_batch_predict component to take in publisher model by either model_address + model_id or just model_id (1f69834)
  • components: Fix batch prediction model parameters payload sanitization error(batch prediction job) (fb4512d)
  • components: Group preview.llm.rlhf_pipeline components for more readability (c23b720)
  • components: Group preview.llm.rlhf_pipeline components for more readability (bcd5922)
  • components: Group preview.llm.rlhf_pipeline components for more readability (a927984)
  • components: Update image tag used by RLHF components (4a5cbbf)
  • sdk: add executor output path and executor input message placeholders (#​10240) (d3323c0)
  • sdk: add local execution config #localexecution (#​10234) (0d7913c)
  • sdk: support .after() referencing task in ParallelFor group (#​10257) (11f60d8)
Bug Fixes
  • backend: Pipeline and PipelineVersion Description column value should be optional. (#​10205) (0948561)
  • components: fix GCPC AutoMLImageTrainingJobRunOp ModuleNotFoundError (9f278f3)
  • frontend: Support running old v1 pipeline. Fix #​10153 (#​10276) (f5cb2d7)
Other Pull Requests
  • feat(components):[text2sql] Integration with first party LLM model inference pipeline (71e5a93)
  • No public description (a8dd311)
  • feat(components):[text2sql] Generate SQL queries by model batch prediction (2910d0b)
2.0.3 (2023-10-27)
Features
  • backend: Support consuming parent DAG input artifact (#​10162) (52f5cf5)
  • backend: Update driver and launcher images (#​10164) (c0093ec)
  • components: [endpoint_batch_predict] Initialize component (0d75611)
  • components: [text2sql] Generate column names by model batch predict (1bee8be)
  • components: [text2sql] Generate table names by model batch prediction (ebb4245)
  • components: [text2sql] Implement preprocess component logic (21079b5)
  • components: [text2sql] Initialize preprocess component and integrate with text2sql pipeline (9aa750e)
  • components: [text2sql] Initialize evaluation component (ea93979)
  • components: [text2sql] Initialize validate and process component (633ddeb)
  • components: Add ability to preprocess chat llama datasets to _implementation.llm.chat_dataset_preprocessor (99fd201)
  • components: Add question_answer support for AutoSxS default instructions (412216f)
  • components: Add sliced evaluation metrics support for custom and unstructured AutoML models in evaluation feature attribution pipeline (d8a0660)
  • components: Add sliced evaluation metrics support for custom and unstructured AutoML models in evaluation pipeline (0487f9a)
  • components: add support for customizing model_parameters in LLM eval text generation and LLM eval text classification pipelines (d53ddda)
  • components: Make model_checkpoint optional for preview.llm.infer_pipeline (e8fb699)
  • components: migrate DataflowFlexTemplateJobOp to GA namespace (now v1.dataflow.DataflowFlexTemplateJobOp) (faba922)
  • components: Set display names for SFT, RLHF and LLM inference pipelines (1386a82)
  • components: Support service account in kubeflow model_batch_predict component (1682ce8)
  • components: Update image tag used by llm pipelines (4d71fda)
  • sdk: support a Pythonic artifact authoring style (#​9932) (8d00d0e)
  • sdk: support collecting outputs from conditional branches using dsl.OneOf (#​10067) (2d3171c)
Bug Fixes
  • components: [text2sql] Turn model_inference_results_path to model_inference_results_directory and remove duplicate comment (570e56d)
  • frontend: Replace twitter artifactory endpoint with npm endpoint. (#​10099) (da6a360)
  • sdk: fix bug when dsl.importer argument is provided by loop variable (#​10116) (73d51c8)
  • sdk: Fix OOB for IPython and refactor. Closes #​10075. (#​10094) (c903271)
  • sdk: type annotation for client credentials (#​10158) (02e00e8)
Other Pull Requests
2.0.2 (2023-10-11)
Features
  • backend: add postgres initialization (#​9798) (e1f0c01)
  • backend: Added metrics to be collected from failed/successful workflows (#​9576) (5835824)
  • backend: enforce SA Token based auth b/w Persistence Agent and Pipeline API Server (#​9957) (760c158)
  • backend: Update driver and launcher images (#​10076) (3c5f62a)
  • chore: Change AutoML Vision Error Analysis pipeline names (450e910)
  • components: [text2sql] Initialize text2sql pipeline (72e7f96)
  • components: add persistent_resource_id to preview GCPC custom job components/utils (fc1f12b)
  • components: Add AutoML image training job v1 remote runner (df4bc46)
  • components: Add Feature Attribution components to _implementation/model_evaluation. Add LLM Eval text generation and text classification pipelines to preview namespace init file (f454a86)
  • components: Add helper functions to create slice_specs and bias_configs (95901c8)
  • components: Add LLM implementation component that uploads tensorboard metrics after training (b273aab)
  • components: Add main entry and command-line flags for Templated Custom Job Launcher (f8f01bc)
  • components: Add rlhf and infer pipelines to preview/llm. Add llm related components to _implementation/llm (611298a)
  • components: Add sampling_strategy parameter to bulk inferrer to support different strategy. By default, we use greedy (e21174f)
  • components: Add support for customizing evaluation_display_name in model evaluation pipelines (e8b8450)
  • components: add Vertex RAI safety bias evaluation pipeline (b630d5c)
  • components: Add vision data converter component to preview (8f07661)
  • components: Allow ImportModelEvaluationOp to take LLM metrics from --metrics and --problem_type parameters (d331ca0)
  • components: Components for Embedding Eval pipeline (562cd29)
  • components: define new GCPC Model Eval component for LLM Text Generation (a634eef)
  • components: Embedding eval pipeline for experimental launch (cac1856)
  • components: fork a subset of v1 custom_job and gcp_launcher container code to preview (abf05f4)
  • components: Implement create_templated_custom_job for Templated Custom Job Launcher (e307545)
  • components: Implement chunking for embedding evaluation pipeline (0ced6ec)
  • components: Implement helper functions for Jinja2-based Templated Custom Job Launcher (8518e95)
  • components: Implement LLM Safety Bias Component & E2E tests (ae804f4)
  • components: Implement the chunking component (a76e385)
  • components: Implement timestamp filtering for chunking (5c44143)
  • components: internal change (0670337)
  • components: Internal change (ff90cea)
  • components: Internal change (1dc8453)
  • components: Internal change (f80d2b3)
  • components: Internal change (f8c1f9c)
  • components: Metric importing for embedding evaluation (47f1147)
  • components: Move model & data bias components to preview (314daa4)
  • components: Output imported evaluation resource name in ImportModelEvaluationOp (c27d23a)
  • components: Release new model evaluation image versions (9cf92c3)
  • components: Review and update batch_predict_job GCPC docstrings (ea7a5ef)
  • components: Support multiple chunking functions (4945e2c)
  • components: Switch v1 AutoMLImageTrainingJob to use the pipeline remote runner (15c24e3)
  • components: Update container URIs for embedding eval components (f43272d)
  • components: Update default image tag used by LLM implementation components (b31d8a5)
  • components: Update embedding pipeline containers to use llm-pipeline image (1f37243)
  • components: Update policy to reward model name mapping in function based component in _implementation/llm (110e082)
  • components: Update RAI safety component with latest image (af753dc)
  • components: Update supported large model reference names that can be resolved by function based component in _implementation/llm (9ce2866)
  • components: Upgrade LLM evaluation classification and text generation pipelines to preview (b350ac4)
  • components: Upload tensorboard metrics from RLHF pipeline if a tensorboard resource id is provided (2bb57ec)
  • components: Use 64 v3 TPUs for llm pipelines (45fe8e8)
  • components: use GCPC project id placeholder as project parameter default (88e1045)
  • components: Use t5-xl reward model when tuning t5-xxl (6468b4d)
  • deployment: add option to deploy mysql in KFP standalone (#​9855) (b086020)
  • eval: Implement embedding metrics importing (b71d43e)
  • manifests: Add a postgresql deployment manifest in third-party folder (#​9581) (49bfda9)
  • mlmd: Introduce PostgreSQL kustomization for MLMD. (#​9927) (b6be4ea)
  • sdk: add logging at end of executor execution (#​9895) (ef0788d)
  • sdk: enable dependency-free runtime install of kfp (#​9886) (cf0e0cf)
  • sdk: support PipelineTaskFinalStatus in tasks that use .ignore_upstream_failure() (#​10010) (e99f270)
  • sdk: support dsl.If, dsl.Elif, and dsl.Else (#​9894) (c6b236d)
  • Adding new test infrastructure for e2e pipeline tests (d98fa90)
Bug Fixes
  • backend: Fix performance issue within a mysql request (#​9680) (213dd5a)
  • backend: fix timeouts with list run api. Fixes #​9780 (#​9806) (a6af41c)
  • backend: Move ConMaxLifeTime back to DbConfig.ConMaxLifeTime. (#​9873) (fe60742)
  • backend: OutPutPath dir creation mode Fixes #​7629 (#​9946) (4003e56)
  • backend: Sync scheduled workflows v1 if APIVersion and Kind are missing. Fixes #​9809 (#​9968) (dcaafee)
  • backend: update requirements scripts (#​10009) (434b41a)
  • components: Disable caching for LLM pipeline components that store temporary artifacts (4fd1c02)
  • components: fix parent_model parameter of ModelUploadOp ignored (5a0e2bd)
  • components: Fix proto reference from range to _range in model evaluation preview utils function (f323acf)
  • components: Fix the feature transform engine arguments (42df5e1)
  • components: Have RLHF importer use default image if override is falsy (3b8cea0)
  • components: include model version in upload model output artifact (fix) (b0cccfe)
  • components: Minor update for chunking parameter name (07156ae)
  • components: Move model eval version.py to _implementation folder (7f23bfc)
  • components: Update package import for google protobuf ([2cfe463](https://togithub.com/kubeflow/pipelines/commit/2cfe4636ae362efff1773291

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@plural-renovate plural-renovate bot force-pushed the renovate/kfp-server-api-2.x branch 5 times, most recently from 40f691e to 2e498b2 Compare May 13, 2024 16:36
@plural-renovate plural-renovate bot force-pushed the renovate/kfp-server-api-2.x branch 3 times, most recently from 8c7bed7 to b83e57d Compare May 15, 2024 17:04
@plural-renovate plural-renovate bot force-pushed the renovate/kfp-server-api-2.x branch 20 times, most recently from f9b673b to 53666db Compare June 20, 2024 17:54
@plural-renovate
feat(deps): Update dependency kfp-server-api to v2.2.0
6b3878f 
Signed-off-by: plural-renovate[bot]@users.noreply.github.com
@plural-renovate plural-renovate bot force-pushed the renovate/kfp-server-api-2.x branch from 53666db to 6b3878f Compare June 20, 2024 21:16
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