diff --git a/kubeflow/common/structured_logging.py b/kubeflow/common/structured_logging.py
new file mode 100644
index 000000000..0a90aa054
--- /dev/null
+++ b/kubeflow/common/structured_logging.py
@@ -0,0 +1,130 @@
+"""Structured logging utilities for the Kubeflow SDK."""
+
+from __future__ import annotations
+
+import logging
+import os
+import threading
+import warnings
+
+import structlog
+
+_CONFIGURED = False
+_CONFIGURE_LOCK = threading.Lock()
+
+
+def configure_logging(level: str = "INFO", *, json_output: bool | None = None) -> None:
+    """Configure structlog processors and stdlib logging for the kubeflow namespace.
+
+    This is opt-in. Libraries should not call this at import time. Application
+    entrypoints (scripts, CLI tools) should call it once at startup.
+
+    Safe to call multiple times; only the first call takes effect. Subsequent
+    calls emit a warning and are ignored.
+
+    Args:
+        level: Logging level name (DEBUG, INFO, WARNING, ERROR).
+        json_output: If True, emit JSON lines; if False, human-readable console
+            output. When None, JSON is used when the ``CI`` env var is set
+            to a non-empty value other than "0" or "false".
+
+    Raises:
+        ValueError: If level is not a valid Python logging level name.
+    """
+    global _CONFIGURED
+    with _CONFIGURE_LOCK:
+        if _CONFIGURED:
+            warnings.warn(
+                "configure_logging() has already been called; ignoring subsequent call.",
+                stacklevel=2,
+            )
+            return
+        numeric_level = getattr(logging, level.upper(), None)
+        if not isinstance(numeric_level, int):
+            raise ValueError(f"Invalid log level: {level!r}")
+
+        if json_output is None:
+            ci_val = os.environ.get("CI", "").lower()
+            json_output = ci_val not in ("", "0", "false")
+
+        shared_processors: list[structlog.types.Processor] = [
+            structlog.contextvars.merge_contextvars,
+            structlog.stdlib.add_log_level,
+            structlog.stdlib.add_logger_name,
+            structlog.processors.TimeStamper(fmt="iso"),
+            structlog.processors.StackInfoRenderer(),
+            structlog.processors.format_exc_info,
+            structlog.processors.UnicodeDecoder(),
+        ]
+
+        renderer: structlog.types.Processor = (
+            structlog.processors.JSONRenderer() if json_output else structlog.dev.ConsoleRenderer()
+        )
+
+        # Configure structlog globally. This is intentional here because
+        # configure_logging() is an opt-in call by the application, not
+        # triggered at library import time.
+        structlog.configure(
+            processors=[
+                *shared_processors,
+                structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
+            ],
+            logger_factory=structlog.stdlib.LoggerFactory(),
+            wrapper_class=structlog.stdlib.BoundLogger,
+            cache_logger_on_first_use=True,
+        )
+        formatter = structlog.stdlib.ProcessorFormatter(
+            processors=[
+                structlog.stdlib.ProcessorFormatter.remove_processors_meta,
+                renderer,
+            ],
+            foreign_pre_chain=shared_processors,
+        )
+
+        handler = logging.StreamHandler()
+        handler.setFormatter(formatter)
+
+        ns_logger = logging.getLogger("kubeflow")
+        if ns_logger.handlers:
+            warnings.warn(
+                "The 'kubeflow' logger already has handlers; "
+                "configure_logging() will append a structured handler.",
+                stacklevel=2,
+            )
+        ns_logger.addHandler(handler)
+        ns_logger.setLevel(numeric_level)
+        ns_logger.propagate = False
+
+        _CONFIGURED = True
+
+
+def get_logger(name: str | None = None) -> structlog.stdlib.BoundLogger:
+    """Return a structlog logger wrapping a stdlib logger.
+
+    Without a prior :func:`configure_logging` call, the returned logger routes
+    through stdlib's logging infrastructure with no additional processors. This
+    means it inherits whatever handler configuration the application has set up
+    (safe library default).
+
+    After :func:`configure_logging` is called, loggers use the configured
+    structlog processors and renderer.
+
+    Args:
+        name: Logger name, typically ``__name__``.
+
+    Returns:
+        A structlog bound logger compatible with stdlib logging levels.
+    """
+    if _CONFIGURED:
+        # After configure_logging(), structlog.get_logger() returns loggers
+        # that use the configured processors and renderer.
+        return structlog.get_logger(name)
+    # Before configure_logging(), wrap a stdlib logger directly. We cannot use
+    # structlog.get_logger() here because cache_logger_on_first_use=True (set
+    # by configure_logging) would freeze these early loggers with the
+    # pre-configuration factory, making them ignore a later configure_logging()
+    # call. wrap_logger() bypasses that cache entirely.
+    return structlog.wrap_logger(
+        logging.getLogger(name),
+        wrapper_class=structlog.stdlib.BoundLogger,
+    )
diff --git a/kubeflow/common/structured_logging_test.py b/kubeflow/common/structured_logging_test.py
new file mode 100644
index 000000000..0172a0f58
--- /dev/null
+++ b/kubeflow/common/structured_logging_test.py
@@ -0,0 +1,15 @@
+
+from kubeflow.common import structured_logging
+
+
+def test_configure_logging_and_get_logger(monkeypatch):
+    """Test that configure_logging succeeds and get_logger returns a structlog logger."""
+    monkeypatch.setattr(structured_logging, "_CONFIGURED", False)
+
+    structured_logging.configure_logging()
+
+    logger = structured_logging.get_logger(__name__)
+
+    assert logger is not None
+
+    logger.info("test message")
diff --git a/kubeflow/optimizer/api/optimizer_client.py b/kubeflow/optimizer/api/optimizer_client.py
index 31fb555d1..b7526a752 100644
--- a/kubeflow/optimizer/api/optimizer_client.py
+++ b/kubeflow/optimizer/api/optimizer_client.py
@@ -13,9 +13,9 @@
 # limitations under the License.
 
 from collections.abc import Callable, Iterator
-import logging
 from typing import Any
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.common.types import KubernetesBackendConfig
 import kubeflow.common.utils as common_utils
 from kubeflow.optimizer.backends.kubernetes.backend import KubernetesBackend
@@ -29,7 +29,7 @@
 )
 from kubeflow.trainer.types.types import Event, TrainJobTemplate
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class OptimizerClient:
diff --git a/kubeflow/optimizer/backends/kubernetes/backend.py b/kubeflow/optimizer/backends/kubernetes/backend.py
index b39476ce9..9f3f8ec18 100644
--- a/kubeflow/optimizer/backends/kubernetes/backend.py
+++ b/kubeflow/optimizer/backends/kubernetes/backend.py
@@ -14,7 +14,6 @@
 
 from collections.abc import Callable, Iterator
 import copy
-import logging
 import multiprocessing
 import random
 import string
@@ -26,6 +25,7 @@
 from kubernetes import client, config
 
 import kubeflow.common.constants as common_constants
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.common.types import KubernetesBackendConfig
 import kubeflow.common.utils as common_utils
 from kubeflow.optimizer.backends.base import RuntimeBackend
@@ -44,7 +44,7 @@
 import kubeflow.trainer.constants.constants as trainer_constants
 from kubeflow.trainer.types.types import Event, TrainJobTemplate
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class KubernetesBackend(RuntimeBackend):
diff --git a/kubeflow/spark/backends/kubernetes/backend.py b/kubeflow/spark/backends/kubernetes/backend.py
index bdfc2adf5..a62fa3dfc 100644
--- a/kubeflow/spark/backends/kubernetes/backend.py
+++ b/kubeflow/spark/backends/kubernetes/backend.py
@@ -36,6 +36,7 @@
 from pyspark.sql import SparkSession
 
 from kubeflow.common import constants as common_constants
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.common.types import KubernetesBackendConfig
 from kubeflow.spark.backends.base import RuntimeBackend
 from kubeflow.spark.backends.kubernetes import constants
@@ -62,7 +63,7 @@
     SparkJobStatus,
 )
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 _spark_debug_logging_enabled = False
 
diff --git a/kubeflow/trainer/api/trainer_client.py b/kubeflow/trainer/api/trainer_client.py
index 04f8cc411..b469a945d 100644
--- a/kubeflow/trainer/api/trainer_client.py
+++ b/kubeflow/trainer/api/trainer_client.py
@@ -13,8 +13,8 @@
 # limitations under the License.
 
 from collections.abc import Callable, Iterator
-import logging
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.common.types import KubernetesBackendConfig
 import kubeflow.common.utils as common_utils
 from kubeflow.trainer.backends.container.backend import ContainerBackend
@@ -27,7 +27,7 @@
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class TrainerClient:
@@ -235,7 +235,7 @@ def get_job_events(self, name: str) -> list[types.Event]:
     def wait_for_job_status(
         self,
         name: str,
-        status: set[str] = {constants.TRAINJOB_COMPLETE},
+        status: set[str] | None = None,
         timeout: int = 600,
         polling_interval: int = 2,
         callbacks: list[Callable[[types.TrainJob], None]] | None = None,
diff --git a/kubeflow/trainer/backends/base.py b/kubeflow/trainer/backends/base.py
index 870c8fcb2..f27613315 100644
--- a/kubeflow/trainer/backends/base.py
+++ b/kubeflow/trainer/backends/base.py
@@ -75,7 +75,7 @@ def get_job_events(self, name: str) -> list[types.Event]:
     def wait_for_job_status(
         self,
         name: str,
-        status: set[str] = {constants.TRAINJOB_COMPLETE},
+        status: set[str] | None = None,
         timeout: int = 600,
         polling_interval: int = 2,
         callbacks: list[Callable[[types.TrainJob], None]] | None = None,
diff --git a/kubeflow/trainer/backends/container/backend.py b/kubeflow/trainer/backends/container/backend.py
index b9c279251..b78f6eafc 100644
--- a/kubeflow/trainer/backends/container/backend.py
+++ b/kubeflow/trainer/backends/container/backend.py
@@ -40,13 +40,13 @@
 from collections.abc import Callable, Iterator
 import concurrent.futures
 from datetime import datetime
-import logging
 import os
 import random
 import shutil
 import string
 import uuid
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.trainer.backends.base import RuntimeBackend
 from kubeflow.trainer.backends.container import utils as container_utils
 from kubeflow.trainer.backends.container.adapters.base import (
@@ -62,7 +62,7 @@
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class ContainerBackend(RuntimeBackend):
@@ -842,13 +842,16 @@ def _build_failure_message(self, name: str) -> str:
     def wait_for_job_status(
         self,
         name: str,
-        status: set[str] = {constants.TRAINJOB_COMPLETE},
+        status: set[str] | None = None,
         timeout: int = 600,
         polling_interval: int = 2,
         callbacks: list[Callable[[types.TrainJob], None]] | None = None,
     ) -> types.TrainJob:
         import time
 
+        if status is None:
+            status = {constants.TRAINJOB_COMPLETE}
+
         end = time.time() + timeout
         while time.time() < end:
             tj = self.get_job(name)
diff --git a/kubeflow/trainer/backends/container/runtime_loader.py b/kubeflow/trainer/backends/container/runtime_loader.py
index c06e7f5a4..80ab3dbb4 100644
--- a/kubeflow/trainer/backends/container/runtime_loader.py
+++ b/kubeflow/trainer/backends/container/runtime_loader.py
@@ -28,7 +28,6 @@
 
 from datetime import datetime, timedelta
 import json
-import logging
 from pathlib import Path
 from typing import Any
 import urllib.error
@@ -36,10 +35,11 @@
 
 import yaml
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types as base_types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 TRAINING_RUNTIMES_DIR = Path(__file__).parents[2] / "config" / "training_runtimes"
 CACHE_DIR = Path.home() / ".kubeflow" / "trainer" / "cache"
diff --git a/kubeflow/trainer/backends/container/utils.py b/kubeflow/trainer/backends/container/utils.py
index 5ee4bbc3c..4bf9f398d 100644
--- a/kubeflow/trainer/backends/container/utils.py
+++ b/kubeflow/trainer/backends/container/utils.py
@@ -17,16 +17,16 @@
 """
 
 from dataclasses import dataclass
-import logging
 import os
 from pathlib import Path
 import shlex
 
 from kubeflow.common.constants import UNKNOWN
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 def create_workdir(job_name: str) -> str:
diff --git a/kubeflow/trainer/backends/kubernetes/backend.py b/kubeflow/trainer/backends/kubernetes/backend.py
index 562ca60c0..28d15942a 100644
--- a/kubeflow/trainer/backends/kubernetes/backend.py
+++ b/kubeflow/trainer/backends/kubernetes/backend.py
@@ -14,7 +14,6 @@
 
 from collections.abc import Callable, Iterator
 import copy
-import logging
 import multiprocessing
 import os
 import random
@@ -28,6 +27,7 @@
 from kubernetes import client, config, watch
 
 import kubeflow.common.constants as common_constants
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.common.types import KubernetesBackendConfig
 import kubeflow.common.utils as common_utils
 from kubeflow.trainer.backends.base import RuntimeBackend
@@ -35,7 +35,7 @@
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class KubernetesBackend(RuntimeBackend):
diff --git a/kubeflow/trainer/backends/localprocess/backend.py b/kubeflow/trainer/backends/localprocess/backend.py
index 731d06bba..3e1bc23c7 100644
--- a/kubeflow/trainer/backends/localprocess/backend.py
+++ b/kubeflow/trainer/backends/localprocess/backend.py
@@ -13,13 +13,13 @@
 # limitations under the License.
 from collections.abc import Callable, Iterator
 from datetime import datetime
-import logging
 import random
 import string
 import tempfile
 import time
 import uuid
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.trainer.backends.base import RuntimeBackend
 from kubeflow.trainer.backends.localprocess import utils as local_utils
 from kubeflow.trainer.backends.localprocess.constants import local_runtimes
@@ -32,7 +32,7 @@
 from kubeflow.trainer.constants import constants
 from kubeflow.trainer.types import types
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 
 class LocalProcessBackend(RuntimeBackend):
diff --git a/kubeflow/trainer/backends/localprocess/job.py b/kubeflow/trainer/backends/localprocess/job.py
index ba31da4e0..112f6504d 100644
--- a/kubeflow/trainer/backends/localprocess/job.py
+++ b/kubeflow/trainer/backends/localprocess/job.py
@@ -12,15 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from datetime import datetime
-import logging
 import os
 import subprocess
 import threading
 
+from kubeflow.common.structured_logging import get_logger
 from kubeflow.trainer.constants import constants
 
-logger = logging.getLogger(__name__)
-
+logger = get_logger(__name__)
 
 class LocalJob(threading.Thread):
     def __init__(
diff --git a/pyproject.toml b/pyproject.toml
index 3f1bd96ef..4edd6d565 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,11 +26,12 @@ classifiers = [
   "Topic :: Software Development :: Libraries :: Python Modules",
 ]
 dependencies = [
-  "kubernetes>=27.2.0,<36.0.0",       # 36.0.0 has multiple regressions; see kubernetes-client/python#2592, #2596
+  "kubernetes>=27.2.0,<36.0.0",  # 36.0.0 has multiple regressions; see kubernetes-client/python#2592, #2596
   "pydantic>=2.10.0",
   "requests>=2.25.0",
   "kubeflow-trainer-api>=2.2.0,<2.3",
   "kubeflow-katib-api>=0.19.0,<0.20",
+  "structlog>=25.4.0",
 ]
 
 [project.optional-dependencies]
diff --git a/uv.lock b/uv.lock
index 453940e58..6961e9238 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,28 +2,21 @@ version = 1
 revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version == '3.12.*' and sys_platform == 'win32'",
-    "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
-    "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version >= '3.14' and sys_platform == 'win32'",
     "python_full_version >= '3.14' and sys_platform == 'emscripten'",
     "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version == '3.12.*' and sys_platform == 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.11.*' and sys_platform == 'win32'",
     "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version < '3.11'",
 ]
 
-[manifest]
-overrides = [
-    { name = "kubeflow-katib-api", git = "https://github.com/kubeflow/katib.git?subdirectory=api%2Fpython_api&rev=master" },
-    { name = "kubeflow-spark-api", git = "https://github.com/kubeflow/spark-operator.git?subdirectory=api%2Fpython_api&rev=master" },
-    { name = "kubeflow-trainer-api", git = "https://github.com/kubeflow/trainer.git?subdirectory=api%2Fpython_api&rev=master" },
-]
-
 [[package]]
 name = "accessible-pygments"
 version = "0.0.5"
@@ -38,16 +31,16 @@ wheels = [
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.7.1"
+version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ce/f4/eec0465c2f67b2664688d0240b3212d5196fd89e741df67ddb81f8d35658/aiohappyeyeballs-2.7.1.tar.gz", hash = "sha256:065665c041c42a5938ed220bdcd7230f22527fbec085e1853d2402c8a3615d9d", size = 24757, upload-time = "2026-07-01T17:11:55.501Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/71/43/1947f06babed6b3f1d7f38b0c767f52df66bfb2bc10b468c4a7de9eceff2/aiohappyeyeballs-2.7.1-py3-none-any.whl", hash = "sha256:9243213661e29250eb41368e5daa826fc017156c3b8a11440826b2e3ed376472", size = 15038, upload-time = "2026-07-01T17:11:54.055Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.14.3"
+version = "3.14.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -60,126 +53,126 @@ dependencies = [
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/58/d9/22ce5786ac0c1653ae8b6c23bded02c1686d11f0dbb45b31ce128e0df985/aiohttp-3.14.3.tar.gz", hash = "sha256:9491196535a88924a60afd5b5f434b5b203b6cc616250878dbdb223a8f7844bc", size = 7971213, upload-time = "2026-07-23T01:57:27.037Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/2d/4d/4a99fb425c5e0cad715eea7bd190aff46f38b959a0a2dadb993705d34b26/aiohttp-3.14.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:eb0495d778817619273c108784292be161a924b9f5ae5cbbc70a2caa6838250b", size = 765848, upload-time = "2026-07-23T01:52:08.217Z" },
-    { url = "https://files.pythonhosted.org/packages/74/e8/43b85dc55b8e950dc644babe762add781319ea881b57b33d2cce12017d12/aiohttp-3.14.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c3c200cf9757edd785051dc699c7ecbec22110dbfcb3fefc7a9f9695eda8ea7a", size = 517476, upload-time = "2026-07-23T01:52:10.846Z" },
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@@ -1476,6 +1213,7 @@ dependencies = [
     { name = "kubernetes" },
     { name = "pydantic" },
     { name = "requests" },
+    { name = "structlog" },
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-    { name = "ipykernel" },
-    { name = "kubeflow", extra = ["docker", "hub", "pipelines", "spark"] },
-    { name = "papermill" },
+    { name = "kfp", extra = ["kubernetes"] },
+    { name = "kubeflow", extra = ["hub", "pipelines", "spark"] },
+    { name = "kubeflow-katib-api" },
+    { name = "kubeflow-spark-api" },
+    { name = "kubeflow-trainer-api" },
     { name = "pre-commit" },
     { name = "pygithub" },
     { name = "pytest" },
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-    { name = "kubeflow-trainer-api", specifier = ">=2.2.0,<2.3" },
+    { name = "kfp", extras = ["kubernetes"], marker = "extra == 'pipelines'", specifier = ">=2.17.0" },
+    { name = "kubeflow-katib-api", specifier = ">=0.19.0" },
+    { name = "kubeflow-spark-api", marker = "extra == 'spark'", specifier = ">=2.4.0" },
+    { name = "kubeflow-trainer-api", specifier = ">=2.2.0" },
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-    { name = "model-registry", marker = "extra == 'hub'", specifier = ">=0.3.14,<0.4" },
+    { name = "model-registry", marker = "extra == 'hub'", specifier = ">=0.3.6" },
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     { name = "pydantic", specifier = ">=2.10.0" },
-    { name = "pyspark-connect", marker = "extra == 'spark'", specifier = "==4.2.0" },
+    { name = "pyspark-connect", marker = "extra == 'spark'", specifier = "==4.0.1" },
     { name = "requests", specifier = ">=2.25.0" },
+    { name = "structlog", specifier = ">=25.4.0" },
 ]
 provides-extras = ["docker", "hub", "pipelines", "podman", "spark"]
 
 [package.metadata.requires-dev]
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-    { name = "kubeflow", extras = ["docker", "hub", "pipelines", "spark"] },
-    { name = "papermill", specifier = ">=2.6.0" },
+    { name = "kfp", extras = ["kubernetes"], specifier = ">=2.17.0" },
+    { name = "kubeflow", extras = ["hub", "pipelines", "spark"] },
+    { name = "kubeflow-katib-api", git = "https://github.com/kubeflow/katib.git?subdirectory=api%2Fpython_api&rev=master" },
+    { name = "kubeflow-spark-api", git = "https://github.com/kubeflow/spark-operator.git?subdirectory=api%2Fpython_api&rev=master" },
+    { name = "kubeflow-trainer-api", git = "https://github.com/kubeflow/trainer.git?subdirectory=api%2Fpython_api&rev=master" },
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     { name = "pytest", specifier = ">=7.0" },
@@ -1567,15 +1306,11 @@ docs = [
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     { name = "sphinx-design", specifier = ">=0.6" },
 ]
-notebooks = [
-    { name = "ipykernel", specifier = ">=6.29.5" },
-    { name = "papermill", specifier = ">=2.6.0" },
-]
 
 [[package]]
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 version = "0.19.0"
-source = { git = "https://github.com/kubeflow/katib.git?subdirectory=api%2Fpython_api&rev=master#dec5030ef9791add2a7224d8ba3cb9b699bf70da" }
+source = { git = "https://github.com/kubeflow/katib.git?subdirectory=api%2Fpython_api&rev=master#9caa8bc1389c866a79e78174d2851108ada52b2f" }
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@@ -1583,15 +1318,15 @@ dependencies = [
 [[package]]
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+source = { git = "https://github.com/kubeflow/spark-operator.git?subdirectory=api%2Fpython_api&rev=master#709d19521ca615acabd3a96afe3103906b511e8e" }
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+version = "2.2.0"
+source = { git = "https://github.com/kubeflow/trainer.git?subdirectory=api%2Fpython_api&rev=master#5959ae7dd3b7aac80c82ad9563872bc8bee7635d" }
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