Remove experimental notices for worker tuners

Author: Sushisource

temporalio/worker/_tuning.py

@@ -28,9 +28,6 @@ class FixedSizeSlotSupplier:
 @dataclass(frozen=True)
 class ResourceBasedTunerConfig:
     """Options for a :py:class:`ResourceBasedTuner` or a :py:class:`ResourceBasedSlotSupplier`.
-
-    .. warning::
-        The resource based tuner is currently experimental.
     """
 
     target_memory_usage: float
@@ -45,9 +42,6 @@ class ResourceBasedTunerConfig:
 @dataclass(frozen=True)
 class ResourceBasedSlotConfig:
     """Options for a specific slot type being used with a :py:class:`ResourceBasedSlotSupplier`.
-
-    .. warning::
-        The resource based tuner is currently experimental.
     """
 
     minimum_slots: Optional[int] = None
@@ -66,9 +60,6 @@ class ResourceBasedSlotConfig:
 @dataclass(frozen=True)
 class ResourceBasedSlotSupplier:
     """A slot supplier that will dynamically adjust the number of slots based on resource usage.
-
-    .. warning::
-        The resource based tuner is currently experimental.
     """
 
     slot_config: ResourceBasedSlotConfig
@@ -81,9 +72,6 @@ class SlotPermit:
     """A permit to use a slot for a workflow/activity/local activity task.
 
     You can inherit from this class to add your own data to the permit.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     pass
@@ -92,9 +80,6 @@ class SlotPermit:
 # WARNING: This must match Rust worker::SlotReserveCtx
 class SlotReserveContext(Protocol):
     """Context for reserving a slot from a :py:class:`CustomSlotSupplier`.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     slot_type: Literal["workflow", "activity", "local-activity"]
@@ -119,9 +104,6 @@ class SlotReserveContext(Protocol):
 @runtime_checkable
 class WorkflowSlotInfo(Protocol):
     """Info about a workflow task slot usage.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     workflow_type: str
@@ -132,9 +114,6 @@ class WorkflowSlotInfo(Protocol):
 @runtime_checkable
 class ActivitySlotInfo(Protocol):
     """Info about an activity task slot usage.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     activity_type: str
@@ -144,9 +123,6 @@ class ActivitySlotInfo(Protocol):
 @runtime_checkable
 class LocalActivitySlotInfo(Protocol):
     """Info about a local activity task slot usage.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     activity_type: str
@@ -156,9 +132,6 @@ class LocalActivitySlotInfo(Protocol):
 @runtime_checkable
 class NexusSlotInfo(Protocol):
     """Info about a nexus task slot usage.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     service: str
@@ -174,9 +147,6 @@ class NexusSlotInfo(Protocol):
 @dataclass(frozen=True)
 class SlotMarkUsedContext(Protocol):
     """Context for marking a slot used from a :py:class:`CustomSlotSupplier`.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     slot_info: SlotInfo
@@ -189,9 +159,6 @@ class SlotMarkUsedContext(Protocol):
 @dataclass(frozen=True)
 class SlotReleaseContext:
     """Context for releasing a slot from a :py:class:`CustomSlotSupplier`.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     slot_info: Optional[SlotInfo]
@@ -202,9 +169,6 @@ class SlotReleaseContext:
 
 class CustomSlotSupplier(ABC):
     """This class can be implemented to provide custom slot supplier behavior.
-
-    .. warning::
-        Custom slot suppliers are currently experimental.
     """
 
     @abstractmethod

temporalio/worker/_worker.py

@@ -228,8 +228,6 @@ def __init__(
 
                 Defaults to fixed-size 100 slots for each slot kind if unset and none of the
                 max_* arguments are provided.
-
-                WARNING: This argument is experimental
             max_concurrent_workflow_task_polls: Maximum number of concurrent
                 poll workflow task requests we will perform at a time on this worker's task queue.
                 Must be set to at least two if ``max_cached_workflows`` is nonzero.