diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 8ed53fe1..4443cbdd 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -1,4 +1,7 @@
 name: Continuous Integration
+permissions:
+  contents: read
+  actions: write
 on: # rebuild any PRs and main branch changes
   pull_request:
   push:
@@ -12,13 +15,13 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        python: ["3.10", "3.13"]
+        python: ["3.10", "3.14"]
         os: [ubuntu-latest, macos-intel, macos-arm, windows-latest]
         include:
           - os: macos-intel
-            runsOn: macos-13
+            runsOn: macos-15-intel
           - os: macos-arm
-            runsOn: macos-14
+            runsOn: macos-latest
     runs-on: ${{ matrix.runsOn || matrix.os }}
     steps:
       - uses: astral-sh/setup-uv@v5
diff --git a/README.md b/README.md
index d9ae57a3..d4d6a61b 100644
--- a/README.md
+++ b/README.md
@@ -55,6 +55,7 @@ Some examples require extra dependencies. See each sample's directory for specif
   * [hello_search_attributes](hello/hello_search_attributes.py) - Start workflow with search attributes then change
     while running.
   * [hello_signal](hello/hello_signal.py) - Send signals to a workflow.
+  * [hello update](hello/hello_update.py) - Send a request to and a response from a client to a workflow execution.
 <!-- Keep this list in alphabetical order -->
 * [activity_worker](activity_worker) - Use Python activities from a workflow in another language.
 * [batch_sliding_window](batch_sliding_window) - Batch processing with a sliding window of child workflows.
@@ -69,6 +70,7 @@ Some examples require extra dependencies. See each sample's directory for specif
 * [encryption](encryption) - Apply end-to-end encryption for all input/output.
 * [env_config](env_config) - Load client configuration from TOML files with programmatic overrides.
 * [gevent_async](gevent_async) - Combine gevent and Temporal.
+* [hello_standalone_activity](hello_standalone_activity) - Use activities without using a workflow.
 * [langchain](langchain) - Orchestrate workflows for LangChain.
 * [message_passing/introduction](message_passing/introduction/) - Introduction to queries, signals, and updates.
 * [message_passing/safe_message_handlers](message_passing/safe_message_handlers/) - Safely handling updates and signals.
@@ -84,6 +86,7 @@ Some examples require extra dependencies. See each sample's directory for specif
 * [updatable_timer](updatable_timer) - A timer that can be updated while sleeping.
 * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers.
 * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code.
+* [worker_multiprocessing](worker_multiprocessing) - Leverage Python multiprocessing to parallelize workflow tasks and other CPU bound operations by running multiple workers.
 
 ## Test
 
diff --git a/activity_worker/activity_worker.py b/activity_worker/activity_worker.py
index 3e613169..986b0ae9 100644
--- a/activity_worker/activity_worker.py
+++ b/activity_worker/activity_worker.py
@@ -4,6 +4,7 @@
 
 from temporalio import activity
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 task_queue = "say-hello-task-queue"
@@ -18,7 +19,9 @@ async def say_hello_activity(name: str) -> str:
 
 async def main():
     # Create client to localhost on default namespace
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run activity worker
     async with Worker(client, task_queue=task_queue, activities=[say_hello_activity]):
diff --git a/batch_sliding_window/sliding_window_workflow.py b/batch_sliding_window/sliding_window_workflow.py
index 87e4110d..a416fb99 100644
--- a/batch_sliding_window/sliding_window_workflow.py
+++ b/batch_sliding_window/sliding_window_workflow.py
@@ -108,6 +108,7 @@ async def _execute(self, input: SlidingWindowWorkflowInput) -> int:
 
             # Start child workflow for this record
             child_id = f"{workflow_id}/{record.id}"
+            self.current_records.add(record.id)
             child_handle = await workflow.start_child_workflow(
                 RecordProcessorWorkflow.run,
                 record,
@@ -117,7 +118,6 @@ async def _execute(self, input: SlidingWindowWorkflowInput) -> int:
             )
 
             self.children_started_by_this_run.append(child_handle)
-            self.current_records.add(record.id)
 
         return await self._continue_as_new_or_complete(input)
 
diff --git a/batch_sliding_window/starter.py b/batch_sliding_window/starter.py
index d9a24971..7e3b1fb3 100644
--- a/batch_sliding_window/starter.py
+++ b/batch_sliding_window/starter.py
@@ -6,6 +6,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from batch_sliding_window.batch_workflow import (
     ProcessBatchWorkflow,
@@ -19,7 +20,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Create client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create unique workflow ID with timestamp
     timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
diff --git a/batch_sliding_window/worker.py b/batch_sliding_window/worker.py
index c0968bc3..a72ed96c 100644
--- a/batch_sliding_window/worker.py
+++ b/batch_sliding_window/worker.py
@@ -6,6 +6,7 @@
 
 from temporalio import worker
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from batch_sliding_window.batch_workflow import ProcessBatchWorkflow
 from batch_sliding_window.record_loader_activity import RecordLoader
@@ -19,7 +20,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Create client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create RecordLoader activity with sample data
     record_loader = RecordLoader(record_count=90)
diff --git a/bedrock/basic/run_worker.py b/bedrock/basic/run_worker.py
index fee8aa5d..085b695c 100644
--- a/bedrock/basic/run_worker.py
+++ b/bedrock/basic/run_worker.py
@@ -3,6 +3,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from workflows import BasicBedrockWorkflow
 
@@ -11,7 +12,10 @@
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     activities = BedrockActivities()
 
     # Run the worker
diff --git a/bedrock/basic/send_message.py b/bedrock/basic/send_message.py
index 1b4cc995..692a4927 100644
--- a/bedrock/basic/send_message.py
+++ b/bedrock/basic/send_message.py
@@ -2,12 +2,15 @@
 import sys
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import BasicBedrockWorkflow
 
 
 async def main(prompt: str) -> str:
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Start the workflow
     workflow_id = "basic-bedrock-workflow"
diff --git a/bedrock/basic/workflows.py b/bedrock/basic/workflows.py
index 9968704d..0ebf0216 100644
--- a/bedrock/basic/workflows.py
+++ b/bedrock/basic/workflows.py
@@ -10,7 +10,6 @@
 class BasicBedrockWorkflow:
     @workflow.run
     async def run(self, prompt: str) -> str:
-
         workflow.logger.info("Prompt: %s" % prompt)
 
         response = await workflow.execute_activity_method(
diff --git a/bedrock/entity/end_chat.py b/bedrock/entity/end_chat.py
index 49125306..19984202 100644
--- a/bedrock/entity/end_chat.py
+++ b/bedrock/entity/end_chat.py
@@ -2,12 +2,15 @@
 import sys
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import EntityBedrockWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     workflow_id = "entity-bedrock-workflow"
 
diff --git a/bedrock/entity/get_history.py b/bedrock/entity/get_history.py
index 1600886e..ffcfa31e 100644
--- a/bedrock/entity/get_history.py
+++ b/bedrock/entity/get_history.py
@@ -1,12 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import EntityBedrockWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     workflow_id = "entity-bedrock-workflow"
 
     handle = client.get_workflow_handle(workflow_id)
diff --git a/bedrock/entity/run_worker.py b/bedrock/entity/run_worker.py
index 3e3b1e64..ecc76c52 100644
--- a/bedrock/entity/run_worker.py
+++ b/bedrock/entity/run_worker.py
@@ -3,6 +3,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from workflows import EntityBedrockWorkflow
 
@@ -11,7 +12,10 @@
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     activities = BedrockActivities()
 
     # Run the worker
diff --git a/bedrock/entity/send_message.py b/bedrock/entity/send_message.py
index 177b4b69..be7897f0 100644
--- a/bedrock/entity/send_message.py
+++ b/bedrock/entity/send_message.py
@@ -2,12 +2,15 @@
 import sys
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import BedrockParams, EntityBedrockWorkflow
 
 
 async def main(prompt):
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     workflow_id = "entity-bedrock-workflow"
 
diff --git a/bedrock/entity/workflows.py b/bedrock/entity/workflows.py
index 3dfdf530..710f0916 100644
--- a/bedrock/entity/workflows.py
+++ b/bedrock/entity/workflows.py
@@ -31,7 +31,6 @@ async def run(
         self,
         params: BedrockParams,
     ) -> str:
-
         if params and params.conversation_summary:
             self.conversation_history.append(
                 ("conversation_summary", params.conversation_summary)
diff --git a/bedrock/signals_and_queries/get_history.py b/bedrock/signals_and_queries/get_history.py
index 0bdf0861..2bd6049f 100644
--- a/bedrock/signals_and_queries/get_history.py
+++ b/bedrock/signals_and_queries/get_history.py
@@ -1,12 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import SignalQueryBedrockWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     workflow_id = "bedrock-workflow-with-signals"
 
     handle = client.get_workflow_handle(workflow_id)
diff --git a/bedrock/signals_and_queries/run_worker.py b/bedrock/signals_and_queries/run_worker.py
index b3e709a9..9d611588 100644
--- a/bedrock/signals_and_queries/run_worker.py
+++ b/bedrock/signals_and_queries/run_worker.py
@@ -3,6 +3,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from workflows import SignalQueryBedrockWorkflow
 
@@ -11,7 +12,10 @@
 
 async def main():
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     activities = BedrockActivities()
 
     # Run the worker
diff --git a/bedrock/signals_and_queries/send_message.py b/bedrock/signals_and_queries/send_message.py
index 67b8b37e..35a9df1c 100644
--- a/bedrock/signals_and_queries/send_message.py
+++ b/bedrock/signals_and_queries/send_message.py
@@ -2,12 +2,15 @@
 import sys
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflows import SignalQueryBedrockWorkflow
 
 
 async def main(prompt):
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     workflow_id = "bedrock-workflow-with-signals"
     inactivity_timeout_minutes = 1
diff --git a/cloud_export_to_parquet/create_schedule.py b/cloud_export_to_parquet/create_schedule.py
index f425d4c6..1f40a3ed 100644
--- a/cloud_export_to_parquet/create_schedule.py
+++ b/cloud_export_to_parquet/create_schedule.py
@@ -10,6 +10,7 @@
     ScheduleSpec,
     WorkflowFailureError,
 )
+from temporalio.envconfig import ClientConfig
 
 from cloud_export_to_parquet.workflows import (
     ProtoToParquet,
@@ -20,7 +21,10 @@
 async def main() -> None:
     """Main function to run temporal workflow."""
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     # TODO: update s3_bucket and namespace to the actual usecase
     wf_input = ProtoToParquetWorkflowInput(
         num_delay_hour=2,
diff --git a/cloud_export_to_parquet/run_worker.py b/cloud_export_to_parquet/run_worker.py
index df02de11..6062abcd 100644
--- a/cloud_export_to_parquet/run_worker.py
+++ b/cloud_export_to_parquet/run_worker.py
@@ -2,6 +2,7 @@
 from concurrent.futures import ThreadPoolExecutor
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from temporalio.worker.workflow_sandbox import (
     SandboxedWorkflowRunner,
@@ -18,7 +19,9 @@
 async def main() -> None:
     """Main worker function."""
     # Create client connected to server at the given address
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run the worker
     worker: Worker = Worker(
diff --git a/cloud_export_to_parquet/workflows.py b/cloud_export_to_parquet/workflows.py
index 2d3edd88..3c9fe270 100644
--- a/cloud_export_to_parquet/workflows.py
+++ b/cloud_export_to_parquet/workflows.py
@@ -7,9 +7,9 @@
 with workflow.unsafe.imports_passed_through():
     from cloud_export_to_parquet.data_trans_activities import (
         DataTransAndLandActivityInput,
+        GetObjectKeysActivityInput,
         data_trans_and_land,
         get_object_keys,
-        GetObjectKeysActivityInput,
     )
 from dataclasses import dataclass
 
diff --git a/context_propagation/starter.py b/context_propagation/starter.py
index 2865eee2..4d141dc0 100644
--- a/context_propagation/starter.py
+++ b/context_propagation/starter.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from context_propagation import interceptor, shared, workflows
 
@@ -12,9 +13,12 @@ async def main():
     # Set the user ID
     shared.user_id.set("some-user")
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use our interceptor
         interceptors=[interceptor.ContextPropagationInterceptor()],
     )
diff --git a/context_propagation/worker.py b/context_propagation/worker.py
index 14d954da..70ffa368 100644
--- a/context_propagation/worker.py
+++ b/context_propagation/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from context_propagation import activities, interceptor, workflows
@@ -12,9 +13,12 @@
 async def main():
     logging.basicConfig(level=logging.INFO)
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use our interceptor
         interceptors=[interceptor.ContextPropagationInterceptor()],
     )
diff --git a/custom_converter/shared.py b/custom_converter/shared.py
index c94b8dbb..2aa71f16 100644
--- a/custom_converter/shared.py
+++ b/custom_converter/shared.py
@@ -54,7 +54,7 @@ def __init__(self) -> None:
         # Just add ours as first before the defaults
         super().__init__(
             GreetingEncodingPayloadConverter(),
-            *DefaultPayloadConverter.default_encoding_payload_converters
+            *DefaultPayloadConverter.default_encoding_payload_converters,
         )
 
 
diff --git a/custom_converter/starter.py b/custom_converter/starter.py
index 54fdf162..cc500ae4 100644
--- a/custom_converter/starter.py
+++ b/custom_converter/starter.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from custom_converter.shared import (
     GreetingInput,
@@ -11,9 +12,12 @@
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Without this we get:
         #   TypeError: Object of type GreetingInput is not JSON serializable
         data_converter=greeting_data_converter,
diff --git a/custom_converter/worker.py b/custom_converter/worker.py
index 96214cdd..17186aee 100644
--- a/custom_converter/worker.py
+++ b/custom_converter/worker.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from custom_converter.shared import greeting_data_converter
@@ -10,9 +11,12 @@
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Without this, when trying to run a workflow, we get:
         #   KeyError: 'Unknown payload encoding my-greeting-encoding
         data_converter=greeting_data_converter,
diff --git a/custom_decorator/starter.py b/custom_decorator/starter.py
index 98bf542f..aff675da 100644
--- a/custom_decorator/starter.py
+++ b/custom_decorator/starter.py
@@ -1,13 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from custom_decorator.worker import WaitForCancelWorkflow
 
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Start the workflow
     handle = await client.start_workflow(
diff --git a/custom_decorator/worker.py b/custom_decorator/worker.py
index 7d0d25ca..0d25145b 100644
--- a/custom_decorator/worker.py
+++ b/custom_decorator/worker.py
@@ -4,6 +4,7 @@
 from temporalio import activity, workflow
 from temporalio.client import Client
 from temporalio.common import RetryPolicy
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from custom_decorator.activity_utils import auto_heartbeater
@@ -51,7 +52,9 @@ def cancel_activity(self) -> None:
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
diff --git a/custom_metric/starter.py b/custom_metric/starter.py
index ded3a626..aeb6d2b7 100644
--- a/custom_metric/starter.py
+++ b/custom_metric/starter.py
@@ -2,15 +2,15 @@
 import uuid
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from custom_metric.workflow import StartTwoActivitiesWorkflow
 
 
 async def main():
-
-    client = await Client.connect(
-        "localhost:7233",
-    )
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     await client.start_workflow(
         StartTwoActivitiesWorkflow.run,
diff --git a/custom_metric/worker.py b/custom_metric/worker.py
index 9ffad207..21dd9c93 100644
--- a/custom_metric/worker.py
+++ b/custom_metric/worker.py
@@ -3,6 +3,7 @@
 
 from temporalio import activity
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig
 from temporalio.worker import (
     ActivityInboundInterceptor,
@@ -24,7 +25,6 @@ def intercept_activity(
 
 class CustomScheduleToStartInterceptor(ActivityInboundInterceptor):
     async def execute_activity(self, input: ExecuteActivityInput):
-
         schedule_to_start = (
             activity.info().started_time
             - activity.info().current_attempt_scheduled_time
@@ -39,7 +39,7 @@ async def execute_activity(self, input: ExecuteActivityInput):
             unit="duration",
         )
         histogram.record(
-            schedule_to_start, {"workflow_type": activity.info().workflow_type}
+            schedule_to_start, {"workflow_type": activity.info().workflow_type or ""}
         )
         return await self.next.execute_activity(input)
 
@@ -48,8 +48,10 @@ async def main():
     runtime = Runtime(
         telemetry=TelemetryConfig(metrics=PrometheusConfig(bind_address="0.0.0.0:9090"))
     )
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         runtime=runtime,
     )
     worker = Worker(
diff --git a/dsl/starter.py b/dsl/starter.py
index e530b10e..eb0f328d 100644
--- a/dsl/starter.py
+++ b/dsl/starter.py
@@ -6,6 +6,7 @@
 import dacite
 import yaml
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from dsl.workflow import DSLInput, DSLWorkflow
 
@@ -16,7 +17,9 @@ async def main(dsl_yaml: str) -> None:
     dsl_input = dacite.from_dict(DSLInput, yaml.safe_load(dsl_yaml))
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run workflow
     result = await client.execute_workflow(
diff --git a/dsl/worker.py b/dsl/worker.py
index 9945492e..e52ec872 100644
--- a/dsl/worker.py
+++ b/dsl/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from dsl.activities import DSLActivities
@@ -12,7 +13,9 @@
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the activities and workflow
     activities = DSLActivities()
diff --git a/eager_wf_start/run.py b/eager_wf_start/run.py
index c1daf82a..34d807e0 100644
--- a/eager_wf_start/run.py
+++ b/eager_wf_start/run.py
@@ -2,6 +2,7 @@
 import uuid
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from eager_wf_start.activities import greeting
@@ -11,9 +12,11 @@
 
 
 async def main():
-
     # Note that the worker and client run in the same process and share the same client connection.
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     worker = Worker(
         client,
         task_queue=TASK_QUEUE,
diff --git a/encryption/starter.py b/encryption/starter.py
index 4c39f553..f2570936 100644
--- a/encryption/starter.py
+++ b/encryption/starter.py
@@ -3,15 +3,19 @@
 
 import temporalio.converter
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from encryption.codec import EncryptionCodec
 from encryption.worker import GreetingWorkflow
 
 
 async def main():
+    # Load configuration
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use the default converter, but change the codec
         data_converter=dataclasses.replace(
             temporalio.converter.default(), payload_codec=EncryptionCodec()
diff --git a/encryption/worker.py b/encryption/worker.py
index b99a2eab..d3387c70 100644
--- a/encryption/worker.py
+++ b/encryption/worker.py
@@ -4,6 +4,7 @@
 import temporalio.converter
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from encryption.codec import EncryptionCodec
@@ -20,9 +21,11 @@ async def run(self, name: str) -> str:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use the default converter, but change the codec
         data_converter=dataclasses.replace(
             temporalio.converter.default(), payload_codec=EncryptionCodec()
diff --git a/env_config/__init__.py b/env_config/__init__.py
index 0519ecba..e69de29b 100644
--- a/env_config/__init__.py
+++ b/env_config/__init__.py
@@ -1 +0,0 @@
- 
\ No newline at end of file
diff --git a/gevent_async/starter.py b/gevent_async/starter.py
index 43e8356b..010803e5 100644
--- a/gevent_async/starter.py
+++ b/gevent_async/starter.py
@@ -7,6 +7,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from gevent_async import workflow
 from gevent_async.executor import GeventExecutor
@@ -24,7 +25,9 @@ def main():
 
 async def async_main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run workflow
     result = await client.execute_workflow(
diff --git a/gevent_async/worker.py b/gevent_async/worker.py
index 9b4945cf..db419399 100644
--- a/gevent_async/worker.py
+++ b/gevent_async/worker.py
@@ -9,6 +9,7 @@
 
 import gevent
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from gevent_async import activity, workflow
@@ -39,13 +40,14 @@ async def async_main():
     )
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create an executor for use by Temporal. This cannot be the outer one
     # running this async main. The max_workers here needs to have enough room to
     # support the max concurrent activities/workflows settings.
     with GeventExecutor(max_workers=200) as executor:
-
         # Run a worker for the workflow and activities
         async with Worker(
             client,
@@ -65,7 +67,6 @@ async def async_main():
             max_concurrent_activities=100,
             max_concurrent_workflow_tasks=100,
         ):
-
             # Wait until interrupted
             logging.info("Worker started, ctrl+c to exit")
             await interrupt_event.wait()
diff --git a/hello/README.md b/hello/README.md
index c014d08c..7b5ca6eb 100644
--- a/hello/README.md
+++ b/hello/README.md
@@ -44,7 +44,7 @@ Replace `hello/hello_activity.py` in the command with any other example filename
 * [hello_search_attributes](hello_search_attributes.py) - Start workflow with search attributes then change while
   running.
 * [hello_signal](hello_signal.py) - Send signals to a workflow.
-* [hello_update](hello_update.py) - Send a request to and a response from a client to a workflow execution.
+* [hello_update](hello_update.py) - **Send a request to and a response from a client to a workflow execution.**
 
 Note: To enable the workflow update, set the `frontend.enableUpdateWorkflowExecution` dynamic config value to true.
 
diff --git a/hello/hello_activity.py b/hello/hello_activity.py
index 13b5fcbb..c7972c2e 100644
--- a/hello/hello_activity.py
+++ b/hello/hello_activity.py
@@ -5,6 +5,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -42,8 +43,12 @@ async def main():
     # import logging
     # logging.basicConfig(level=logging.INFO)
 
+    # Load configuration
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -56,7 +61,6 @@ async def main():
         # This same thread pool could be passed to multiple workers if desired.
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_async.py b/hello/hello_activity_async.py
index fd14a2cf..47b5bd79 100644
--- a/hello/hello_activity_async.py
+++ b/hello/hello_activity_async.py
@@ -4,6 +4,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -42,7 +43,9 @@ async def main():
     # logging.basicConfig(level=logging.INFO)
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -54,7 +57,6 @@ async def main():
         # to supply an activity executor because they run in
         # the worker's event loop.
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py
index 7d01b019..6da9fe69 100644
--- a/hello/hello_activity_choice.py
+++ b/hello/hello_activity_choice.py
@@ -7,6 +7,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 # Activities that will be called by the workflow
@@ -80,8 +81,11 @@ async def run(self, shopping_list: ShoppingList) -> str:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -91,7 +95,6 @@ async def main():
         activities=[order_apples, order_bananas, order_cherries, order_oranges],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_heartbeat.py b/hello/hello_activity_heartbeat.py
index 230621d3..2b80f9a6 100644
--- a/hello/hello_activity_heartbeat.py
+++ b/hello/hello_activity_heartbeat.py
@@ -6,6 +6,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -41,7 +42,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -51,7 +54,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_method.py b/hello/hello_activity_method.py
index db527263..d87bc8e7 100644
--- a/hello/hello_activity_method.py
+++ b/hello/hello_activity_method.py
@@ -3,6 +3,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -32,7 +33,9 @@ async def run(self) -> None:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create our database client that can then be used in the activity
     db_client = MyDatabaseClient()
@@ -47,7 +50,6 @@ async def main():
         workflows=[MyWorkflow],
         activities=[my_activities.do_database_thing],
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_multiprocess.py b/hello/hello_activity_multiprocess.py
index 6630234d..c7793c2c 100644
--- a/hello/hello_activity_multiprocess.py
+++ b/hello/hello_activity_multiprocess.py
@@ -8,6 +8,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import SharedStateManager, Worker
 
 
@@ -43,7 +44,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -65,7 +68,6 @@ async def main():
             multiprocessing.Manager()
         ),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_activity_retry.py b/hello/hello_activity_retry.py
index f1acd529..105aa847 100644
--- a/hello/hello_activity_retry.py
+++ b/hello/hello_activity_retry.py
@@ -6,6 +6,7 @@
 from temporalio import activity, workflow
 from temporalio.client import Client
 from temporalio.common import RetryPolicy
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -45,7 +46,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -55,7 +58,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_async_activity_completion.py b/hello/hello_async_activity_completion.py
index 10aa89df..e777c49f 100644
--- a/hello/hello_async_activity_completion.py
+++ b/hello/hello_async_activity_completion.py
@@ -4,6 +4,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -68,7 +69,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     composer = GreetingComposer(client)
@@ -78,7 +81,6 @@ async def main():
         workflows=[GreetingWorkflow],
         activities=[composer.compose_greeting],
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_cancellation.py b/hello/hello_cancellation.py
index 5bf38a66..a74bc2b4 100644
--- a/hello/hello_cancellation.py
+++ b/hello/hello_cancellation.py
@@ -7,6 +7,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client, WorkflowFailureError
+from temporalio.envconfig import ClientConfig
 from temporalio.exceptions import CancelledError
 from temporalio.worker import Worker
 
@@ -50,8 +51,11 @@ async def run(self) -> None:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -61,7 +65,6 @@ async def main():
         activities=[never_complete_activity, cleanup_activity],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to start the workflow.
         # Note, in many production setups, the client would be in a completely
         # separate process from the worker.
diff --git a/hello/hello_change_log_level.py b/hello/hello_change_log_level.py
index 89bb2e1d..4b7697f4 100644
--- a/hello/hello_change_log_level.py
+++ b/hello/hello_change_log_level.py
@@ -11,6 +11,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 # --- Begin logging set‑up ----------------------------------------------------------
@@ -50,7 +51,10 @@ async def run(self):
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     async with Worker(
         client,
         task_queue="hello-change-log-level-task-queue",
diff --git a/hello/hello_child_workflow.py b/hello/hello_child_workflow.py
index 2be0bc1b..136b788f 100644
--- a/hello/hello_child_workflow.py
+++ b/hello/hello_child_workflow.py
@@ -3,6 +3,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -31,8 +32,11 @@ async def run(self, name: str) -> str:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -40,7 +44,6 @@ async def main():
         task_queue="hello-child-workflow-task-queue",
         workflows=[GreetingWorkflow, ComposeGreetingWorkflow],
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_continue_as_new.py b/hello/hello_continue_as_new.py
index 586aac1d..a899c7fc 100644
--- a/hello/hello_continue_as_new.py
+++ b/hello/hello_continue_as_new.py
@@ -3,6 +3,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -22,7 +23,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -30,7 +33,6 @@ async def main():
         task_queue="hello-continue-as-new-task-queue",
         workflows=[LoopingWorkflow],
     ):
-
         # While the worker is running, use the client to run the workflow. Note,
         # in many production setups, the client would be in a completely
         # separate process from the worker.
diff --git a/hello/hello_cron.py b/hello/hello_cron.py
index dbb5cba6..1ca29ea1 100644
--- a/hello/hello_cron.py
+++ b/hello/hello_cron.py
@@ -5,6 +5,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -33,7 +34,9 @@ async def run(self, name: str) -> None:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -43,7 +46,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         print("Running workflow once a minute")
 
         # While the worker is running, use the client to start the workflow.
diff --git a/hello/hello_exception.py b/hello/hello_exception.py
index 628c10c5..6e94bf7c 100644
--- a/hello/hello_exception.py
+++ b/hello/hello_exception.py
@@ -8,6 +8,7 @@
 from temporalio import activity, workflow
 from temporalio.client import Client, WorkflowFailureError
 from temporalio.common import RetryPolicy
+from temporalio.envconfig import ClientConfig
 from temporalio.exceptions import FailureError
 from temporalio.worker import Worker
 
@@ -39,7 +40,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -49,7 +52,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_local_activity.py b/hello/hello_local_activity.py
index 374c29c5..8954ea42 100644
--- a/hello/hello_local_activity.py
+++ b/hello/hello_local_activity.py
@@ -5,6 +5,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -32,7 +33,9 @@ async def run(self, name: str) -> str:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -42,7 +45,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_mtls.py b/hello/hello_mtls.py
index 3ed15354..b88c5f85 100644
--- a/hello/hello_mtls.py
+++ b/hello/hello_mtls.py
@@ -82,7 +82,6 @@ async def main():
         activities=[compose_greeting],
         activity_executor=ThreadPoolExecutor(5),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_parallel_activity.py b/hello/hello_parallel_activity.py
index b32b02bb..42931a70 100644
--- a/hello/hello_parallel_activity.py
+++ b/hello/hello_parallel_activity.py
@@ -5,6 +5,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -41,7 +42,9 @@ async def run(self) -> List[str]:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -51,7 +54,6 @@ async def main():
         activities=[say_hello_activity],
         activity_executor=ThreadPoolExecutor(10),
     ):
-
         # While the worker is running, use the client to run the workflow and
         # print out its result. Note, in many production setups, the client
         # would be in a completely separate process from the worker.
diff --git a/hello/hello_patch.py b/hello/hello_patch.py
index e511ad5b..a26e5474 100644
--- a/hello/hello_patch.py
+++ b/hello/hello_patch.py
@@ -6,6 +6,7 @@
 
 from temporalio import activity, exceptions, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -101,7 +102,9 @@ async def main():
     # logging.basicConfig(level=logging.INFO)
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Set workflow_class to the proper class based on version
     workflow_class = ""
diff --git a/hello/hello_query.py b/hello/hello_query.py
index 8deb30ba..d1bc54aa 100644
--- a/hello/hello_query.py
+++ b/hello/hello_query.py
@@ -2,6 +2,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -26,8 +27,11 @@ def greeting(self) -> str:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -35,7 +39,6 @@ async def main():
         task_queue="hello-query-task-queue",
         workflows=[GreetingWorkflow],
     ):
-
         # While the worker is running, use the client to start the workflow.
         # Note, in many production setups, the client would be in a completely
         # separate process from the worker.
diff --git a/hello/hello_search_attributes.py b/hello/hello_search_attributes.py
index 8b504ea6..d6d1a205 100644
--- a/hello/hello_search_attributes.py
+++ b/hello/hello_search_attributes.py
@@ -2,6 +2,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -16,7 +17,9 @@ async def run(self) -> None:
 
 async def main():
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -24,7 +27,6 @@ async def main():
         task_queue="hello-search-attributes-task-queue",
         workflows=[GreetingWorkflow],
     ):
-
         # While the worker is running, use the client to start the workflow.
         # Note, in many production setups, the client would be in a completely
         # separate process from the worker.
diff --git a/hello/hello_signal.py b/hello/hello_signal.py
index a4f9b554..02b9d3ce 100644
--- a/hello/hello_signal.py
+++ b/hello/hello_signal.py
@@ -3,6 +3,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -40,8 +41,11 @@ def exit(self) -> None:
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
@@ -49,7 +53,6 @@ async def main():
         task_queue="hello-signal-task-queue",
         workflows=[GreetingWorkflow],
     ):
-
         # While the worker is running, use the client to start the workflow.
         # Note, in many production setups, the client would be in a completely
         # separate process from the worker.
diff --git a/hello/hello_update.py b/hello/hello_update.py
index 111d95b1..4daa250a 100644
--- a/hello/hello_update.py
+++ b/hello/hello_update.py
@@ -2,6 +2,7 @@
 
 from temporalio import workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -22,7 +23,9 @@ async def update_workflow_status(self) -> str:
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
diff --git a/hello_nexus/caller/app.py b/hello_nexus/caller/app.py
index 40785b90..639456fa 100644
--- a/hello_nexus/caller/app.py
+++ b/hello_nexus/caller/app.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from hello_nexus.caller.workflows import CallerWorkflow
@@ -15,10 +16,12 @@
 async def execute_caller_workflow(
     client: Optional[Client] = None,
 ) -> tuple[MyOutput, MyOutput]:
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        # Override the namespace from config file.
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/hello_nexus/handler/worker.py b/hello_nexus/handler/worker.py
index 0bdd6c01..ded9c5ab 100644
--- a/hello_nexus/handler/worker.py
+++ b/hello_nexus/handler/worker.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from hello_nexus.handler.service_handler import MyNexusServiceHandler
@@ -17,10 +18,12 @@
 async def main(client: Optional[Client] = None):
     logging.basicConfig(level=logging.INFO)
 
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        # Override the address and namespace from the config file.
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     # Start the worker, passing the Nexus service handler instance, in addition to the
     # workflow classes that are started by your nexus operations, and any activities
diff --git a/hello_standalone_activity/README.md b/hello_standalone_activity/README.md
new file mode 100644
index 00000000..ebd63931
--- /dev/null
+++ b/hello_standalone_activity/README.md
@@ -0,0 +1,115 @@
+# Standalone Activity
+
+This sample shows how to execute Activities directly from a Temporal Client, without a Workflow.
+
+For full documentation, see [Standalone Activities - Python SDK](https://docs.temporal.io/develop/python/standalone-activities).
+
+### Sample directory structure
+
+- [my_activity.py](./my_activity.py) - Activity definition with `@activity.defn`
+- [worker.py](./worker.py) - Worker that registers and runs the Activity
+- [execute_activity.py](./execute_activity.py) - Execute a Standalone Activity and wait for the result
+- [start_activity.py](./start_activity.py) - Start a Standalone Activity, get a handle, then wait for the result
+- [list_activities.py](./list_activities.py) - List Standalone Activity Executions
+- [count_activities.py](./count_activities.py) - Count Standalone Activity Executions
+
+### Quickstart
+
+**1. Start the Temporal dev server**
+
+```bash
+temporal server start-dev
+```
+
+**2. Run the Worker** (in a separate terminal)
+
+```bash
+uv run hello_standalone_activity/worker.py
+```
+
+**3. Execute a Standalone Activity** (in a separate terminal)
+
+Execute and wait for the result:
+
+```bash
+uv run hello_standalone_activity/execute_activity.py
+```
+
+Or use the Temporal CLI:
+
+```bash
+temporal activity execute \
+  --type compose_greeting \
+  --activity-id my-standalone-activity-id \
+  --task-queue my-standalone-activity-task-queue \
+  --start-to-close-timeout 10s \
+  --input '{"greeting": "Hello", "name": "World"}'
+```
+
+**4. Start a Standalone Activity (without waiting)**
+
+Start, get a handle, then wait for the result:
+
+```bash
+uv run hello_standalone_activity/start_activity.py
+```
+
+Or use the Temporal CLI:
+
+```bash
+temporal activity start \
+  --type compose_greeting \
+  --activity-id my-standalone-activity-id \
+  --task-queue my-standalone-activity-task-queue \
+  --start-to-close-timeout 10s \
+  --input '{"greeting": "Hello", "name": "World"}'
+```
+
+**5. List Standalone Activities**
+
+```bash
+uv run hello_standalone_activity/list_activities.py
+```
+
+Or use the Temporal CLI:
+
+```bash
+temporal activity list --query "TaskQueue = 'my-standalone-activity-task-queue'"
+```
+
+Note: `list` and `count` are only available in the [Standalone Activity prerelease CLI](https://github.com/temporalio/cli/releases/tag/v1.6.2-standalone-activity).
+
+**6. Count Standalone Activities**
+
+```bash
+uv run hello_standalone_activity/count_activities.py
+```
+
+Or use the Temporal CLI:
+
+```bash
+temporal activity count --query "TaskQueue = 'my-standalone-activity-task-queue'"
+```
+
+### Temporal Cloud
+
+The same code works against Temporal Cloud - just set environment variables. No code changes needed.
+
+**Connect with mTLS:**
+
+```bash
+export TEMPORAL_ADDRESS=<your-namespace>.<your-account-id>.tmprl.cloud:7233
+export TEMPORAL_NAMESPACE=<your-namespace>.<your-account-id>
+export TEMPORAL_TLS_CLIENT_CERT_PATH='path/to/your/client.pem'
+export TEMPORAL_TLS_CLIENT_KEY_PATH='path/to/your/client.key'
+```
+
+**Connect with an API key:**
+
+```bash
+export TEMPORAL_ADDRESS=<region>.<cloud_provider>.api.temporal.io:7233
+export TEMPORAL_NAMESPACE=<your-namespace>.<your-account-id>
+export TEMPORAL_API_KEY=<your-api-key>
+```
+
+Then run the worker and starter as shown above.
diff --git a/hello_standalone_activity/__init__.py b/hello_standalone_activity/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/hello_standalone_activity/count_activities.py b/hello_standalone_activity/count_activities.py
new file mode 100644
index 00000000..14a89e7e
--- /dev/null
+++ b/hello_standalone_activity/count_activities.py
@@ -0,0 +1,23 @@
+import asyncio
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+
+
+async def my_application():
+    connect_config = ClientConfig.load_client_connect_config()
+    connect_config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**connect_config)
+
+    resp = await client.count_activities(
+        query="TaskQueue = 'my-standalone-activity-task-queue'",
+    )
+
+    print("Total activities:", resp.count)
+
+    for group in resp.groups:
+        print(f"Group {group.group_values}: {group.count}")
+
+
+if __name__ == "__main__":
+    asyncio.run(my_application())
diff --git a/hello_standalone_activity/execute_activity.py b/hello_standalone_activity/execute_activity.py
new file mode 100644
index 00000000..529a1feb
--- /dev/null
+++ b/hello_standalone_activity/execute_activity.py
@@ -0,0 +1,26 @@
+import asyncio
+from datetime import timedelta
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+
+from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting
+
+
+async def my_application():
+    connect_config = ClientConfig.load_client_connect_config()
+    connect_config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**connect_config)
+
+    activity_result = await client.execute_activity(
+        compose_greeting,
+        args=[ComposeGreetingInput("Hello", "World")],
+        id="my-standalone-activity-id",
+        task_queue="my-standalone-activity-task-queue",
+        start_to_close_timeout=timedelta(seconds=10),
+    )
+    print(f"Activity result: {activity_result}")
+
+
+if __name__ == "__main__":
+    asyncio.run(my_application())
diff --git a/hello_standalone_activity/list_activities.py b/hello_standalone_activity/list_activities.py
new file mode 100644
index 00000000..ef7af969
--- /dev/null
+++ b/hello_standalone_activity/list_activities.py
@@ -0,0 +1,23 @@
+import asyncio
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+
+
+async def my_application():
+    connect_config = ClientConfig.load_client_connect_config()
+    connect_config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**connect_config)
+
+    activities = client.list_activities(
+        query="TaskQueue = 'my-standalone-activity-task-queue'",
+    )
+
+    async for info in activities:
+        print(
+            f"ActivityID: {info.activity_id}, Type: {info.activity_type}, Status: {info.status}"
+        )
+
+
+if __name__ == "__main__":
+    asyncio.run(my_application())
diff --git a/hello_standalone_activity/my_activity.py b/hello_standalone_activity/my_activity.py
new file mode 100644
index 00000000..086b08a0
--- /dev/null
+++ b/hello_standalone_activity/my_activity.py
@@ -0,0 +1,15 @@
+from dataclasses import dataclass
+
+from temporalio import activity
+
+
+@dataclass
+class ComposeGreetingInput:
+    greeting: str
+    name: str
+
+
+@activity.defn
+def compose_greeting(input: ComposeGreetingInput) -> str:
+    activity.logger.info("Running activity with parameter %s" % input)
+    return f"{input.greeting}, {input.name}!"
diff --git a/hello_standalone_activity/start_activity.py b/hello_standalone_activity/start_activity.py
new file mode 100644
index 00000000..8aa9fa54
--- /dev/null
+++ b/hello_standalone_activity/start_activity.py
@@ -0,0 +1,31 @@
+import asyncio
+from datetime import timedelta
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+
+from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting
+
+
+async def my_application():
+    connect_config = ClientConfig.load_client_connect_config()
+    connect_config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**connect_config)
+
+    # Start the activity without waiting for the result
+    activity_handle = await client.start_activity(
+        compose_greeting,
+        args=[ComposeGreetingInput("Hello", "World")],
+        id="my-standalone-activity-id",
+        task_queue="my-standalone-activity-task-queue",
+        start_to_close_timeout=timedelta(seconds=10),
+    )
+    print(f"Started activity: {activity_handle.id}")
+
+    # Wait for the result
+    activity_result = await activity_handle.result()
+    print(f"Activity result: {activity_result}")
+
+
+if __name__ == "__main__":
+    asyncio.run(my_application())
diff --git a/hello_standalone_activity/worker.py b/hello_standalone_activity/worker.py
new file mode 100644
index 00000000..d093cc03
--- /dev/null
+++ b/hello_standalone_activity/worker.py
@@ -0,0 +1,26 @@
+import asyncio
+from concurrent.futures import ThreadPoolExecutor
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+from temporalio.worker import Worker
+
+from hello_standalone_activity.my_activity import compose_greeting
+
+
+async def main():
+    connect_config = ClientConfig.load_client_connect_config()
+    connect_config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**connect_config)
+    worker = Worker(
+        client,
+        task_queue="my-standalone-activity-task-queue",
+        activities=[compose_greeting],
+        activity_executor=ThreadPoolExecutor(5),
+    )
+    print("worker running...", end="", flush=True)
+    await worker.run()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/langchain/starter.py b/langchain/starter.py
index 2e3d0d5a..6d9e00c2 100644
--- a/langchain/starter.py
+++ b/langchain/starter.py
@@ -7,13 +7,18 @@
 from fastapi import FastAPI, HTTPException
 from langchain_interceptor import LangChainContextPropagationInterceptor
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from workflow import LangChainWorkflow, TranslateWorkflowParams
 
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
-    app.state.temporal_client = await Client.connect(
-        "localhost:7233", interceptors=[LangChainContextPropagationInterceptor()]
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
+    client = await Client.connect(
+        **config,
+        interceptors=[LangChainContextPropagationInterceptor()],
     )
     yield
 
diff --git a/langchain/worker.py b/langchain/worker.py
index 1b680432..b7fb7741 100644
--- a/langchain/worker.py
+++ b/langchain/worker.py
@@ -3,6 +3,7 @@
 from activities import translate_phrase
 from langchain_interceptor import LangChainContextPropagationInterceptor
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from workflow import LangChainChildWorkflow, LangChainWorkflow
 
@@ -10,7 +11,10 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     worker = Worker(
         client,
         task_queue="langchain-task-queue",
diff --git a/message_passing/introduction/starter.py b/message_passing/introduction/starter.py
index b71dd44d..aa5b8967 100644
--- a/message_passing/introduction/starter.py
+++ b/message_passing/introduction/starter.py
@@ -2,6 +2,7 @@
 from typing import Optional
 
 from temporalio.client import Client, WorkflowUpdateStage
+from temporalio.envconfig import ClientConfig
 
 from message_passing.introduction import TASK_QUEUE
 from message_passing.introduction.workflows import (
@@ -14,7 +15,11 @@
 
 
 async def main(client: Optional[Client] = None):
-    client = client or await Client.connect("localhost:7233")
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        client = await Client.connect(**config)
+
     wf_handle = await client.start_workflow(
         GreetingWorkflow.run,
         id="greeting-workflow-1234",
diff --git a/message_passing/introduction/worker.py b/message_passing/introduction/worker.py
index 25f4121f..34974801 100644
--- a/message_passing/introduction/worker.py
+++ b/message_passing/introduction/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.introduction import TASK_QUEUE
@@ -14,7 +15,9 @@
 async def main():
     logging.basicConfig(level=logging.INFO)
 
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/message_passing/safe_message_handlers/starter.py b/message_passing/safe_message_handlers/starter.py
index 7ffe13d9..9bc5c661 100644
--- a/message_passing/safe_message_handlers/starter.py
+++ b/message_passing/safe_message_handlers/starter.py
@@ -6,6 +6,7 @@
 
 from temporalio import common
 from temporalio.client import Client, WorkflowHandle
+from temporalio.envconfig import ClientConfig
 
 from message_passing.safe_message_handlers.workflow import (
     ClusterManagerAssignNodesToJobInput,
@@ -54,7 +55,9 @@ async def do_cluster_lifecycle(wf: WorkflowHandle, delay_seconds: Optional[int]
 
 async def main(should_test_continue_as_new: bool):
     # Connect to Temporal
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     print("Starting cluster")
     cluster_manager_handle = await client.start_workflow(
diff --git a/message_passing/safe_message_handlers/worker.py b/message_passing/safe_message_handlers/worker.py
index 34e71290..31e538d4 100644
--- a/message_passing/safe_message_handlers/worker.py
+++ b/message_passing/safe_message_handlers/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.safe_message_handlers.workflow import (
@@ -16,7 +17,9 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/message_passing/update_with_start/lazy_initialization/starter.py b/message_passing/update_with_start/lazy_initialization/starter.py
index b3274f9d..ec874939 100644
--- a/message_passing/update_with_start/lazy_initialization/starter.py
+++ b/message_passing/update_with_start/lazy_initialization/starter.py
@@ -9,6 +9,7 @@
     WorkflowHandle,
     WorkflowUpdateFailedError,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.exceptions import ApplicationError
 
 from message_passing.update_with_start.lazy_initialization import TASK_QUEUE
@@ -61,12 +62,14 @@ async def handle_add_item_request(
 async def main():
     print("🛒")
     session_id = f"session-{uuid.uuid4()}"
-    temporal_client = await Client.connect("localhost:7233")
-    subtotal_1, _ = await handle_add_item_request(
-        session_id, "sku-123", 1, temporal_client
-    )
+
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
+    subtotal_1, _ = await handle_add_item_request(session_id, "sku-123", 1, client)
     subtotal_2, wf_handle = await handle_add_item_request(
-        session_id, "sku-456", 1, temporal_client
+        session_id, "sku-456", 1, client
     )
     print(f"subtotals were, {[subtotal_1, subtotal_2]}")
     await wf_handle.signal(ShoppingCartWorkflow.checkout)
diff --git a/message_passing/update_with_start/lazy_initialization/worker.py b/message_passing/update_with_start/lazy_initialization/worker.py
index 1964b43e..1cc4f6ff 100644
--- a/message_passing/update_with_start/lazy_initialization/worker.py
+++ b/message_passing/update_with_start/lazy_initialization/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.update_with_start.lazy_initialization import TASK_QUEUE, workflows
@@ -13,7 +14,9 @@
 async def main():
     logging.basicConfig(level=logging.INFO)
 
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/message_passing/waiting_for_handlers/starter.py b/message_passing/waiting_for_handlers/starter.py
index 908095c5..9d3fbc0c 100644
--- a/message_passing/waiting_for_handlers/starter.py
+++ b/message_passing/waiting_for_handlers/starter.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio import client, common
+from temporalio.envconfig import ClientConfig
 
 from message_passing.waiting_for_handlers import (
     TASK_QUEUE,
@@ -12,7 +13,10 @@
 
 
 async def starter(exit_type: WorkflowExitType):
-    cl = await client.Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    cl = await client.Client.connect(**config)
+
     wf_handle = await cl.start_workflow(
         WaitingForHandlersWorkflow.run,
         WorkflowInput(exit_type=exit_type),
@@ -33,7 +37,9 @@ async def _check_run(
             wait_for_stage=client.WorkflowUpdateStage.ACCEPTED,
         )
     except Exception as e:
-        print(f"    🔴 caught exception while starting update: {e}: {e.__cause__ or ''}")
+        print(
+            f"    🔴 caught exception while starting update: {e}: {e.__cause__ or ''}"
+        )
 
     if exit_type == WorkflowExitType.CANCELLATION:
         await wf_handle.cancel()
diff --git a/message_passing/waiting_for_handlers/worker.py b/message_passing/waiting_for_handlers/worker.py
index 9eea60a3..e32a2dcb 100644
--- a/message_passing/waiting_for_handlers/worker.py
+++ b/message_passing/waiting_for_handlers/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.waiting_for_handlers import TASK_QUEUE
@@ -16,7 +17,9 @@
 async def main():
     logging.basicConfig(level=logging.INFO)
 
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/message_passing/waiting_for_handlers_and_compensation/starter.py b/message_passing/waiting_for_handlers_and_compensation/starter.py
index 812bee5f..6f25c9a5 100644
--- a/message_passing/waiting_for_handlers_and_compensation/starter.py
+++ b/message_passing/waiting_for_handlers_and_compensation/starter.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio import client, common
+from temporalio.envconfig import ClientConfig
 
 from message_passing.waiting_for_handlers_and_compensation import (
     TASK_QUEUE,
@@ -14,7 +15,10 @@
 
 
 async def starter(exit_type: WorkflowExitType):
-    cl = await client.Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    cl = await client.Client.connect(**config)
+
     wf_handle = await cl.start_workflow(
         WaitingForHandlersAndCompensationWorkflow.run,
         WorkflowInput(exit_type=exit_type),
@@ -35,7 +39,9 @@ async def _check_run(
             wait_for_stage=client.WorkflowUpdateStage.ACCEPTED,
         )
     except Exception as e:
-        print(f"    🔴 caught exception while starting update: {e}: {e.__cause__ or ''}")
+        print(
+            f"    🔴 caught exception while starting update: {e}: {e.__cause__ or ''}"
+        )
 
     if exit_type == WorkflowExitType.CANCELLATION:
         await wf_handle.cancel()
diff --git a/message_passing/waiting_for_handlers_and_compensation/worker.py b/message_passing/waiting_for_handlers_and_compensation/worker.py
index 7daf768f..2a27769d 100644
--- a/message_passing/waiting_for_handlers_and_compensation/worker.py
+++ b/message_passing/waiting_for_handlers_and_compensation/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.waiting_for_handlers_and_compensation import TASK_QUEUE
@@ -19,8 +20,9 @@
 
 async def main():
     logging.basicConfig(level=logging.INFO)
-
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/nexus_cancel/README.md b/nexus_cancel/README.md
new file mode 100644
index 00000000..2f7f5703
--- /dev/null
+++ b/nexus_cancel/README.md
@@ -0,0 +1,50 @@
+# Nexus Cancellation
+
+This sample shows how a caller workflow can fan out multiple Nexus operations concurrently, take the first result, and cancel the rest using `WAIT_REQUESTED` cancellation semantics.
+
+With `WAIT_REQUESTED`, the caller proceeds once the handler has received the cancel request — it does not wait for the handler to finish processing the cancellation.
+
+Start a Temporal server. (See the main samples repo [README](../README.md)).
+
+Run the following:
+
+```
+temporal operator namespace create --namespace nexus-cancel-handler-namespace
+temporal operator namespace create --namespace nexus-cancel-caller-namespace
+
+temporal operator nexus endpoint create \
+  --name nexus-cancel-endpoint \
+  --target-namespace nexus-cancel-handler-namespace \
+  --target-task-queue nexus-cancel-handler-task-queue
+```
+
+Next, in separate terminal windows:
+
+## Nexus Handler Worker
+
+```bash
+uv run nexus_cancel/handler/worker.py
+```
+
+## Nexus Caller App
+
+```bash
+uv run nexus_cancel/caller/app.py
+```
+
+## Expected Output
+
+On the caller side, you should see a greeting in whichever language completed first:
+```
+Hello Nexus 👋
+```
+
+On the handler side, you should see cancellation log messages for the remaining operations:
+```
+HelloHandlerWorkflow was cancelled successfully.
+HelloHandlerWorkflow was cancelled successfully.
+HelloHandlerWorkflow was cancelled successfully.
+HelloHandlerWorkflow was cancelled successfully.
+```
+
+The caller workflow returns before all handler workflows have completed their cancellation cleanup. This demonstrates `WAIT_REQUESTED` semantics: the caller didn't wait for the handler workflows to finish, but still guaranteed that all handlers received the cancellation request.
diff --git a/nexus_cancel/__init__.py b/nexus_cancel/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/nexus_cancel/caller/__init__.py b/nexus_cancel/caller/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/nexus_cancel/caller/app.py b/nexus_cancel/caller/app.py
new file mode 100644
index 00000000..bb74e9e0
--- /dev/null
+++ b/nexus_cancel/caller/app.py
@@ -0,0 +1,43 @@
+import asyncio
+import uuid
+from typing import Optional
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+from temporalio.worker import Worker
+
+from nexus_cancel.caller.workflows import HelloCallerWorkflow
+
+NAMESPACE = "nexus-cancel-caller-namespace"
+TASK_QUEUE = "nexus-cancel-caller-task-queue"
+
+
+async def execute_caller_workflow(
+    client: Optional[Client] = None,
+) -> str:
+    if client is None:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
+
+    async with Worker(
+        client,
+        task_queue=TASK_QUEUE,
+        workflows=[HelloCallerWorkflow],
+    ):
+        return await client.execute_workflow(
+            HelloCallerWorkflow.run,
+            "Nexus",
+            id=f"hello-caller-{uuid.uuid4()}",
+            task_queue=TASK_QUEUE,
+        )
+
+
+if __name__ == "__main__":
+    loop = asyncio.new_event_loop()
+    try:
+        result = loop.run_until_complete(execute_caller_workflow())
+        print(result)
+    except KeyboardInterrupt:
+        loop.run_until_complete(loop.shutdown_asyncgens())
diff --git a/nexus_cancel/caller/workflows.py b/nexus_cancel/caller/workflows.py
new file mode 100644
index 00000000..f8a2e1ff
--- /dev/null
+++ b/nexus_cancel/caller/workflows.py
@@ -0,0 +1,69 @@
+"""
+Caller workflow that demonstrates Nexus operation cancellation.
+
+Fans out 5 concurrent Nexus hello operations (one per language), takes the first
+result, and cancels the rest using WAIT_REQUESTED cancellation semantics.
+"""
+
+import asyncio
+from datetime import timedelta
+
+from temporalio import workflow
+from temporalio.exceptions import CancelledError, NexusOperationError
+
+with workflow.unsafe.imports_passed_through():
+    from nexus_cancel.service import HelloInput, Language, NexusService
+
+NEXUS_ENDPOINT = "nexus-cancel-endpoint"
+
+
+@workflow.defn
+class HelloCallerWorkflow:
+    def __init__(self) -> None:
+        self.nexus_client = workflow.create_nexus_client(
+            service=NexusService,
+            endpoint=NEXUS_ENDPOINT,
+        )
+
+    @workflow.run
+    async def run(self, message: str) -> str:
+        # Fan out 5 concurrent Nexus calls, one per language.
+        # Each task starts and awaits its own operation so all race concurrently.
+        async def run_operation(language: Language):
+            handle = await self.nexus_client.start_operation(
+                NexusService.hello,
+                HelloInput(name=message, language=language),
+                schedule_to_close_timeout=timedelta(seconds=10),
+                cancellation_type=workflow.NexusOperationCancellationType.WAIT_REQUESTED,
+            )
+            return await handle
+
+        tasks = [asyncio.create_task(run_operation(lang)) for lang in Language]
+
+        # Wait for the first operation to complete
+        workflow.logger.info(
+            f"Started {len(tasks)} operations, waiting for first to complete..."
+        )
+        done, pending = await workflow.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
+
+        # Get the result from the first completed operation
+        result = await done.pop()
+        workflow.logger.info(f"First operation completed with: {result.message}")
+
+        # Cancel all remaining operations
+        workflow.logger.info(f"Cancelling {len(pending)} remaining operations...")
+        for task in pending:
+            task.cancel()
+
+        # Wait for all cancellations to be acknowledged.
+        # If the workflow completes before cancellation requests are delivered,
+        # the server drops them. Waiting ensures all handlers receive the
+        # cancellation.
+        for task in pending:
+            try:
+                await task
+            except (NexusOperationError, CancelledError):
+                # Expected: the operation was cancelled
+                workflow.logger.info("Operation was cancelled")
+
+        return result.message
diff --git a/nexus_cancel/handler/__init__.py b/nexus_cancel/handler/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/nexus_cancel/handler/service_handler.py b/nexus_cancel/handler/service_handler.py
new file mode 100644
index 00000000..92868510
--- /dev/null
+++ b/nexus_cancel/handler/service_handler.py
@@ -0,0 +1,27 @@
+"""
+Nexus service handler for the cancellation sample.
+
+The hello operation is backed by a workflow, using the Nexus request ID as the
+workflow ID for idempotency across retries.
+"""
+
+from __future__ import annotations
+
+import nexusrpc
+from temporalio import nexus
+
+from nexus_cancel.handler.workflows import HelloHandlerWorkflow
+from nexus_cancel.service import HelloInput, HelloOutput, NexusService
+
+
+@nexusrpc.handler.service_handler(service=NexusService)
+class NexusServiceHandler:
+    @nexus.workflow_run_operation
+    async def hello(
+        self, ctx: nexus.WorkflowRunOperationContext, input: HelloInput
+    ) -> nexus.WorkflowHandle[HelloOutput]:
+        return await ctx.start_workflow(
+            HelloHandlerWorkflow.run,
+            input,
+            id=ctx.request_id,
+        )
diff --git a/nexus_cancel/handler/worker.py b/nexus_cancel/handler/worker.py
new file mode 100644
index 00000000..e29df355
--- /dev/null
+++ b/nexus_cancel/handler/worker.py
@@ -0,0 +1,48 @@
+"""
+Worker for the handler namespace that processes Nexus operations and workflows.
+"""
+
+import asyncio
+import logging
+from typing import Optional
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+from temporalio.worker import Worker
+
+from nexus_cancel.handler.service_handler import NexusServiceHandler
+from nexus_cancel.handler.workflows import HelloHandlerWorkflow
+
+interrupt_event = asyncio.Event()
+
+NAMESPACE = "nexus-cancel-handler-namespace"
+TASK_QUEUE = "nexus-cancel-handler-task-queue"
+
+
+async def main(client: Optional[Client] = None):
+    logging.basicConfig(level=logging.INFO)
+
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
+
+    async with Worker(
+        client,
+        task_queue=TASK_QUEUE,
+        workflows=[HelloHandlerWorkflow],
+        nexus_service_handlers=[NexusServiceHandler()],
+    ):
+        logging.info("Worker started, ctrl+c to exit")
+        await interrupt_event.wait()
+        logging.info("Shutting down")
+
+
+if __name__ == "__main__":
+    loop = asyncio.new_event_loop()
+    try:
+        loop.run_until_complete(main())
+    except KeyboardInterrupt:
+        interrupt_event.set()
+        loop.run_until_complete(loop.shutdown_asyncgens())
diff --git a/nexus_cancel/handler/workflows.py b/nexus_cancel/handler/workflows.py
new file mode 100644
index 00000000..d799c62b
--- /dev/null
+++ b/nexus_cancel/handler/workflows.py
@@ -0,0 +1,49 @@
+"""
+Handler workflow started by the hello Nexus operation.
+
+Demonstrates how to handle cancellation from the caller workflow using a
+detached cancellation scope (asyncio.shield) for cleanup work.
+"""
+
+import asyncio
+
+from temporalio import workflow
+
+with workflow.unsafe.imports_passed_through():
+    from nexus_cancel.service import HelloInput, HelloOutput, Language
+
+GREETINGS = {
+    Language.EN: "Hello {name} 👋",
+    Language.FR: "Bonjour {name} 👋",
+    Language.DE: "Hallo {name} 👋",
+    Language.ES: "¡Hola! {name} 👋",
+    Language.TR: "Merhaba {name} 👋",
+}
+
+
+@workflow.defn
+class HelloHandlerWorkflow:
+    @workflow.run
+    async def run(self, input: HelloInput) -> HelloOutput:
+        try:
+            # Sleep for a random duration to simulate work (0-5 seconds)
+            random_seconds = workflow.random().randint(0, 5)
+            workflow.logger.info(f"Working for {random_seconds} seconds...")
+            await asyncio.sleep(random_seconds)
+
+            # Return a greeting based on the language
+            greeting = GREETINGS[input.language].format(name=input.name)
+            return HelloOutput(message=greeting)
+
+        except asyncio.CancelledError:
+            # Perform cleanup in a detached cancellation scope.
+            # asyncio.shield prevents the cleanup work from being cancelled.
+            workflow.logger.info("Received cancellation request, performing cleanup...")
+            try:
+                cleanup_seconds = workflow.random().randint(0, 5)
+                await asyncio.shield(asyncio.sleep(cleanup_seconds))
+            except asyncio.CancelledError:
+                pass
+            workflow.logger.info("HelloHandlerWorkflow was cancelled successfully.")
+            # Re-raise the cancellation error
+            raise
diff --git a/nexus_cancel/service.py b/nexus_cancel/service.py
new file mode 100644
index 00000000..454a32f7
--- /dev/null
+++ b/nexus_cancel/service.py
@@ -0,0 +1,35 @@
+"""
+Nexus service definition for the cancellation sample.
+
+Defines a NexusService with a single `hello` operation that takes a name and
+language, and returns a greeting message.
+"""
+
+from dataclasses import dataclass
+from enum import IntEnum
+
+import nexusrpc
+
+
+class Language(IntEnum):
+    EN = 0
+    FR = 1
+    DE = 2
+    ES = 3
+    TR = 4
+
+
+@dataclass
+class HelloInput:
+    name: str
+    language: Language
+
+
+@dataclass
+class HelloOutput:
+    message: str
+
+
+@nexusrpc.service
+class NexusService:
+    hello: nexusrpc.Operation[HelloInput, HelloOutput]
diff --git a/nexus_multiple_args/caller/app.py b/nexus_multiple_args/caller/app.py
index 88aadbf9..b4d7ebc3 100644
--- a/nexus_multiple_args/caller/app.py
+++ b/nexus_multiple_args/caller/app.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from nexus_multiple_args.caller.workflows import CallerWorkflow
@@ -14,10 +15,11 @@
 async def execute_caller_workflow(
     client: Optional[Client] = None,
 ) -> tuple[str, str]:
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if client is None:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/nexus_multiple_args/handler/worker.py b/nexus_multiple_args/handler/worker.py
index d12a7ee1..079d08ae 100644
--- a/nexus_multiple_args/handler/worker.py
+++ b/nexus_multiple_args/handler/worker.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from nexus_multiple_args.handler.service_handler import MyNexusServiceHandler
@@ -17,10 +18,11 @@
 async def main(client: Optional[Client] = None):
     logging.basicConfig(level=logging.INFO)
 
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if client is None:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     # Start the worker, passing the Nexus service handler instance, in addition to the
     # workflow classes that are started by your nexus operations, and any activities
diff --git a/nexus_sync_operations/caller/app.py b/nexus_sync_operations/caller/app.py
index 4966415c..375628d2 100644
--- a/nexus_sync_operations/caller/app.py
+++ b/nexus_sync_operations/caller/app.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from nexus_sync_operations.caller.workflows import CallerWorkflow
@@ -14,10 +15,11 @@
 async def execute_caller_workflow(
     client: Optional[Client] = None,
 ) -> None:
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if client is None:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     async with Worker(
         client,
diff --git a/nexus_sync_operations/handler/worker.py b/nexus_sync_operations/handler/worker.py
index 5545adc0..97c8eb04 100644
--- a/nexus_sync_operations/handler/worker.py
+++ b/nexus_sync_operations/handler/worker.py
@@ -3,6 +3,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from message_passing.introduction.activities import call_greeting_service
@@ -18,10 +19,11 @@
 async def main(client: Optional[Client] = None):
     logging.basicConfig(level=logging.INFO)
 
-    client = client or await Client.connect(
-        "localhost:7233",
-        namespace=NAMESPACE,
-    )
+    if client is None:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        config.setdefault("namespace", NAMESPACE)
+        client = await Client.connect(**config)
 
     # Create the nexus service handler instance, starting the long-running entity workflow that
     # backs the Nexus service
diff --git a/open_telemetry/starter.py b/open_telemetry/starter.py
index 86360368..9e8650b0 100644
--- a/open_telemetry/starter.py
+++ b/open_telemetry/starter.py
@@ -2,6 +2,7 @@
 
 from temporalio.client import Client
 from temporalio.contrib.opentelemetry import TracingInterceptor
+from temporalio.envconfig import ClientConfig
 
 from open_telemetry.worker import GreetingWorkflow, init_runtime_with_telemetry
 
@@ -9,9 +10,11 @@
 async def main():
     runtime = init_runtime_with_telemetry()
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use OpenTelemetry interceptor
         interceptors=[TracingInterceptor()],
         runtime=runtime,
diff --git a/open_telemetry/worker.py b/open_telemetry/worker.py
index 04095ca7..631bd008 100644
--- a/open_telemetry/worker.py
+++ b/open_telemetry/worker.py
@@ -9,6 +9,7 @@
 from temporalio import activity, workflow
 from temporalio.client import Client
 from temporalio.contrib.opentelemetry import TracingInterceptor
+from temporalio.envconfig import ClientConfig
 from temporalio.runtime import OpenTelemetryConfig, Runtime, TelemetryConfig
 from temporalio.worker import Worker
 
@@ -50,9 +51,12 @@ def init_runtime_with_telemetry() -> Runtime:
 async def main():
     runtime = init_runtime_with_telemetry()
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         # Use OpenTelemetry interceptor
         interceptors=[TracingInterceptor()],
         runtime=runtime,
diff --git a/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py b/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py
index a8eaedd6..9d3aee3b 100644
--- a/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py
+++ b/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py
@@ -59,9 +59,10 @@ async def run(self, tool_use_behavior: str = "default") -> str:
         config = RunConfig()
 
         if tool_use_behavior == "default":
-            behavior: Literal[
-                "run_llm_again", "stop_on_first_tool"
-            ] | ToolsToFinalOutputFunction = "run_llm_again"
+            behavior: (
+                Literal["run_llm_again", "stop_on_first_tool"]
+                | ToolsToFinalOutputFunction
+            ) = "run_llm_again"
         elif tool_use_behavior == "first_tool":
             behavior = "stop_on_first_tool"
         elif tool_use_behavior == "custom":
diff --git a/openai_agents/basic/run_agent_lifecycle_workflow.py b/openai_agents/basic/run_agent_lifecycle_workflow.py
index 7d3d8619..2cd16c60 100644
--- a/openai_agents/basic/run_agent_lifecycle_workflow.py
+++ b/openai_agents/basic/run_agent_lifecycle_workflow.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.basic.workflows.agent_lifecycle_workflow import (
     AgentLifecycleWorkflow,
@@ -8,7 +9,9 @@
 
 
 async def main() -> None:
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     user_input = input("Enter a max number: ")
     max_number = int(user_input)
diff --git a/openai_agents/basic/run_remote_image_workflow.py b/openai_agents/basic/run_remote_image_workflow.py
index f7c41b9a..f2175f7f 100644
--- a/openai_agents/basic/run_remote_image_workflow.py
+++ b/openai_agents/basic/run_remote_image_workflow.py
@@ -2,16 +2,18 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.basic.workflows.remote_image_workflow import RemoteImageWorkflow
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     client = await Client.connect(
-        "localhost:7233",
-        plugins=[
-            OpenAIAgentsPlugin(),
-        ],
+        **config,
+        plugins=[OpenAIAgentsPlugin()],
     )
 
     # Use the URL from the original example
diff --git a/openai_agents/basic/workflows/agent_lifecycle_workflow.py b/openai_agents/basic/workflows/agent_lifecycle_workflow.py
index 61cdad90..c016d150 100644
--- a/openai_agents/basic/workflows/agent_lifecycle_workflow.py
+++ b/openai_agents/basic/workflows/agent_lifecycle_workflow.py
@@ -71,7 +71,6 @@ class FinalResult(BaseModel):
 class AgentLifecycleWorkflow:
     @workflow.run
     async def run(self, max_number: int) -> FinalResult:
-
         multiply_agent = Agent(
             name="Multiply Agent",
             instructions="Multiply the number by 2 and then return the final result.",
diff --git a/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py b/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py
index 00e77fbb..fb7ce109 100644
--- a/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py
+++ b/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py
@@ -26,9 +26,9 @@ class DynamicSystemPromptWorkflow:
     @workflow.run
     async def run(self, user_message: str, style: Optional[str] = None) -> str:
         if style is None:
-            selected_style: Literal[
-                "haiku", "pirate", "robot"
-            ] = workflow.random().choice(["haiku", "pirate", "robot"])
+            selected_style: Literal["haiku", "pirate", "robot"] = (
+                workflow.random().choice(["haiku", "pirate", "robot"])
+            )
         else:
             # Validate that the provided style is one of the allowed values
             if style not in ["haiku", "pirate", "robot"]:
diff --git a/openai_agents/customer_service/customer_service.py b/openai_agents/customer_service/customer_service.py
index 88f6e3cd..45997033 100644
--- a/openai_agents/customer_service/customer_service.py
+++ b/openai_agents/customer_service/customer_service.py
@@ -77,9 +77,9 @@ async def on_seat_booking_handoff(
 ### AGENTS
 
 
-def init_agents() -> Tuple[
-    Agent[AirlineAgentContext], Dict[str, Agent[AirlineAgentContext]]
-]:
+def init_agents() -> (
+    Tuple[Agent[AirlineAgentContext], Dict[str, Agent[AirlineAgentContext]]]
+):
     """
     Initialize the agents for the airline customer service workflow.
     :return: triage agent
diff --git a/openai_agents/handoffs/run_message_filter_workflow.py b/openai_agents/handoffs/run_message_filter_workflow.py
index 7ecb9f47..c2b2ba3d 100644
--- a/openai_agents/handoffs/run_message_filter_workflow.py
+++ b/openai_agents/handoffs/run_message_filter_workflow.py
@@ -3,6 +3,7 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.handoffs.workflows.message_filter_workflow import (
     MessageFilterWorkflow,
@@ -10,9 +11,12 @@
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Create client connected to server at the given address
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[
             OpenAIAgentsPlugin(),
         ],
diff --git a/openai_agents/mcp/run_file_system_worker.py b/openai_agents/mcp/run_file_system_worker.py
index 0eb440bb..2ed8dffd 100644
--- a/openai_agents/mcp/run_file_system_worker.py
+++ b/openai_agents/mcp/run_file_system_worker.py
@@ -12,6 +12,7 @@
     OpenAIAgentsPlugin,
     StatelessMCPServerProvider,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow
@@ -23,18 +24,21 @@ async def main():
     samples_dir = os.path.join(current_dir, "sample_files")
 
     file_system_server = StatelessMCPServerProvider(
+        "FileSystemServer",
         lambda: MCPServerStdio(
             name="FileSystemServer",
             params={
                 "command": "npx",
                 "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir],
             },
-        )
+        ),
     )
 
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[
             OpenAIAgentsPlugin(
                 model_params=ModelActivityParameters(
diff --git a/openai_agents/mcp/run_file_system_workflow.py b/openai_agents/mcp/run_file_system_workflow.py
index a52e7d56..d076d3d5 100644
--- a/openai_agents/mcp/run_file_system_workflow.py
+++ b/openai_agents/mcp/run_file_system_workflow.py
@@ -2,14 +2,17 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[
             OpenAIAgentsPlugin(),
         ],
diff --git a/openai_agents/mcp/run_memory_research_scratchpad_worker.py b/openai_agents/mcp/run_memory_research_scratchpad_worker.py
index fb1d8494..536ab974 100644
--- a/openai_agents/mcp/run_memory_research_scratchpad_worker.py
+++ b/openai_agents/mcp/run_memory_research_scratchpad_worker.py
@@ -11,6 +11,7 @@
     OpenAIAgentsPlugin,
     StatefulMCPServerProvider,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import (
@@ -22,18 +23,21 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     memory_server_provider = StatefulMCPServerProvider(
-        lambda: MCPServerStdio(
+        "MemoryServer",
+        lambda _: MCPServerStdio(
             name="MemoryServer",
             params={
                 "command": "npx",
                 "args": ["-y", "@modelcontextprotocol/server-memory"],
             },
-        )
+        ),
     )
 
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[
             OpenAIAgentsPlugin(
                 model_params=ModelActivityParameters(
diff --git a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py
index 03969fb4..bf724f9a 100644
--- a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py
+++ b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py
@@ -4,6 +4,7 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import (
     MemoryResearchScratchpadWorkflow,
@@ -11,9 +12,13 @@
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
-        plugins=[OpenAIAgentsPlugin()],
+        **config,
+        plugins=[
+            OpenAIAgentsPlugin(),
+        ],
     )
 
     result = await client.execute_workflow(
diff --git a/openai_agents/mcp/run_prompt_server_worker.py b/openai_agents/mcp/run_prompt_server_worker.py
index e390c0ac..08b68fae 100644
--- a/openai_agents/mcp/run_prompt_server_worker.py
+++ b/openai_agents/mcp/run_prompt_server_worker.py
@@ -11,6 +11,7 @@
     OpenAIAgentsPlugin,
     StatelessMCPServerProvider,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow
@@ -23,17 +24,20 @@ async def main():
 
     try:
         prompt_server_provider = StatelessMCPServerProvider(
+            "PromptServer",
             lambda: MCPServerStreamableHttp(
                 name="PromptServer",
                 params={
                     "url": "http://localhost:8000/mcp",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
         client = await Client.connect(
-            "localhost:7233",
+            **config,
             plugins=[
                 OpenAIAgentsPlugin(
                     model_params=ModelActivityParameters(
diff --git a/openai_agents/mcp/run_prompt_server_workflow.py b/openai_agents/mcp/run_prompt_server_workflow.py
index 79e4bf65..9cad2725 100644
--- a/openai_agents/mcp/run_prompt_server_workflow.py
+++ b/openai_agents/mcp/run_prompt_server_workflow.py
@@ -4,14 +4,17 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[OpenAIAgentsPlugin()],
     )
 
diff --git a/openai_agents/mcp/run_sse_worker.py b/openai_agents/mcp/run_sse_worker.py
index 406e65bf..8ed719bd 100644
--- a/openai_agents/mcp/run_sse_worker.py
+++ b/openai_agents/mcp/run_sse_worker.py
@@ -11,6 +11,7 @@
     OpenAIAgentsPlugin,
     StatelessMCPServerProvider,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from openai_agents.mcp.workflows.sse_workflow import SseWorkflow
@@ -23,17 +24,20 @@ async def main():
 
     try:
         sse_server_provider = StatelessMCPServerProvider(
+            "SseServer",
             lambda: MCPServerSse(
                 name="SseServer",
                 params={
                     "url": "http://localhost:8000/sse",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
         client = await Client.connect(
-            "localhost:7233",
+            **config,
             plugins=[
                 OpenAIAgentsPlugin(
                     model_params=ModelActivityParameters(
diff --git a/openai_agents/mcp/run_sse_workflow.py b/openai_agents/mcp/run_sse_workflow.py
index 42a45596..8effd5fe 100644
--- a/openai_agents/mcp/run_sse_workflow.py
+++ b/openai_agents/mcp/run_sse_workflow.py
@@ -4,14 +4,17 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.mcp.workflows.sse_workflow import SseWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[OpenAIAgentsPlugin()],
     )
 
diff --git a/openai_agents/mcp/run_streamable_http_worker.py b/openai_agents/mcp/run_streamable_http_worker.py
index 9c178b6f..72414727 100644
--- a/openai_agents/mcp/run_streamable_http_worker.py
+++ b/openai_agents/mcp/run_streamable_http_worker.py
@@ -11,6 +11,7 @@
     OpenAIAgentsPlugin,
     StatelessMCPServerProvider,
 )
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow
@@ -23,17 +24,20 @@ async def main():
 
     try:
         streamable_http_server_provider = StatelessMCPServerProvider(
+            "StreamableHttpServer",
             lambda: MCPServerStreamableHttp(
                 name="StreamableHttpServer",
                 params={
                     "url": "http://localhost:8000/mcp",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
         client = await Client.connect(
-            "localhost:7233",
+            **config,
             plugins=[
                 OpenAIAgentsPlugin(
                     model_params=ModelActivityParameters(
diff --git a/openai_agents/mcp/run_streamable_http_workflow.py b/openai_agents/mcp/run_streamable_http_workflow.py
index aa5d1bac..b691e456 100644
--- a/openai_agents/mcp/run_streamable_http_workflow.py
+++ b/openai_agents/mcp/run_streamable_http_workflow.py
@@ -4,14 +4,17 @@
 
 from temporalio.client import Client
 from temporalio.contrib.openai_agents import OpenAIAgentsPlugin
+from temporalio.envconfig import ClientConfig
 
 from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow
 
 
 async def main():
     # Create client connected to server at the given address
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         plugins=[OpenAIAgentsPlugin()],
     )
 
diff --git a/patching/starter.py b/patching/starter.py
index 9e6d7f31..f1b92f32 100644
--- a/patching/starter.py
+++ b/patching/starter.py
@@ -2,6 +2,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 # Since it's just used for typing purposes, it doesn't matter which one we
 # import
@@ -17,7 +18,9 @@ async def main():
         raise RuntimeError("Either --start-workflow or --query-workflow is required")
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     if args.start_workflow:
         handle = await client.start_workflow(
diff --git a/patching/worker.py b/patching/worker.py
index 8f1e3c82..417c8ef9 100644
--- a/patching/worker.py
+++ b/patching/worker.py
@@ -2,6 +2,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from patching.activities import post_patch_activity, pre_patch_activity
@@ -30,7 +31,9 @@ async def main():
         raise RuntimeError("Unrecognized workflow")
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
diff --git a/polling/frequent/run_frequent.py b/polling/frequent/run_frequent.py
index 664a677c..42048092 100644
--- a/polling/frequent/run_frequent.py
+++ b/polling/frequent/run_frequent.py
@@ -1,12 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from polling.frequent.workflows import GreetingWorkflow
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     result = await client.execute_workflow(
         GreetingWorkflow.run,
         "World",
diff --git a/polling/frequent/run_worker.py b/polling/frequent/run_worker.py
index 00fcc27e..cf5ccb78 100644
--- a/polling/frequent/run_worker.py
+++ b/polling/frequent/run_worker.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from polling.frequent.activities import compose_greeting
@@ -8,7 +9,9 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     worker = Worker(
         client,
diff --git a/polling/infrequent/run_infrequent.py b/polling/infrequent/run_infrequent.py
index 7cf206f2..8a0ea871 100644
--- a/polling/infrequent/run_infrequent.py
+++ b/polling/infrequent/run_infrequent.py
@@ -1,12 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from polling.infrequent.workflows import GreetingWorkflow
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     result = await client.execute_workflow(
         GreetingWorkflow.run,
         "World",
diff --git a/polling/infrequent/run_worker.py b/polling/infrequent/run_worker.py
index f600b949..f52a8082 100644
--- a/polling/infrequent/run_worker.py
+++ b/polling/infrequent/run_worker.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from polling.infrequent.activities import compose_greeting
@@ -8,7 +9,9 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     worker = Worker(
         client,
diff --git a/polling/periodic_sequence/run_periodic.py b/polling/periodic_sequence/run_periodic.py
index f2ddcf7a..393fb8be 100644
--- a/polling/periodic_sequence/run_periodic.py
+++ b/polling/periodic_sequence/run_periodic.py
@@ -1,12 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from polling.periodic_sequence.workflows import GreetingWorkflow
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     result = await client.execute_workflow(
         GreetingWorkflow.run,
         "World",
diff --git a/polling/periodic_sequence/run_worker.py b/polling/periodic_sequence/run_worker.py
index e04ac4dc..9689ef2f 100644
--- a/polling/periodic_sequence/run_worker.py
+++ b/polling/periodic_sequence/run_worker.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from polling.periodic_sequence.activities import compose_greeting
@@ -8,7 +9,9 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     worker = Worker(
         client,
diff --git a/polling/test_service.py b/polling/test_service.py
index 63494572..994b98ce 100644
--- a/polling/test_service.py
+++ b/polling/test_service.py
@@ -4,7 +4,7 @@
 from temporalio import activity
 from temporalio.exceptions import ApplicationError, ApplicationErrorCategory
 
-attempts = Counter[str]()
+attempts = Counter[str | None]()
 ERROR_ATTEMPTS = 5
 
 
diff --git a/prometheus/starter.py b/prometheus/starter.py
index b94f5601..571aee07 100644
--- a/prometheus/starter.py
+++ b/prometheus/starter.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from prometheus.worker import GreetingWorkflow, init_runtime_with_prometheus
 
@@ -10,9 +11,12 @@
 async def main():
     runtime = init_runtime_with_prometheus(9001)
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         runtime=runtime,
     )
 
diff --git a/prometheus/worker.py b/prometheus/worker.py
index 5e7d64ab..b41b75c5 100644
--- a/prometheus/worker.py
+++ b/prometheus/worker.py
@@ -3,6 +3,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig
 from temporalio.worker import Worker
 
@@ -38,9 +39,12 @@ def init_runtime_with_prometheus(port: int) -> Runtime:
 async def main():
     runtime = init_runtime_with_prometheus(9000)
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
     client = await Client.connect(
-        "localhost:7233",
+        **config,
         runtime=runtime,
     )
 
diff --git a/pydantic_converter/starter.py b/pydantic_converter/starter.py
index 7cc4cc2d..47766be6 100644
--- a/pydantic_converter/starter.py
+++ b/pydantic_converter/starter.py
@@ -5,15 +5,22 @@
 
 from temporalio.client import Client
 from temporalio.contrib.pydantic import pydantic_data_converter
+from temporalio.envconfig import ClientConfig
 
 from pydantic_converter.worker import MyPydanticModel, MyWorkflow
 
 
 async def main():
     logging.basicConfig(level=logging.INFO)
+
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client using the Pydantic converter
+
     client = await Client.connect(
-        "localhost:7233", data_converter=pydantic_data_converter
+        **config,
+        data_converter=pydantic_data_converter,
     )
 
     # Run workflow
diff --git a/pydantic_converter/worker.py b/pydantic_converter/worker.py
index eac0966c..8acc1125 100644
--- a/pydantic_converter/worker.py
+++ b/pydantic_converter/worker.py
@@ -6,6 +6,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 # Always pass through external modules to the sandbox that you know are safe for
@@ -41,9 +42,14 @@ async def run(self, models: List[MyPydanticModel]) -> List[MyPydanticModel]:
 
 async def main():
     logging.basicConfig(level=logging.INFO)
+
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client using the Pydantic converter
     client = await Client.connect(
-        "localhost:7233", data_converter=pydantic_data_converter
+        **config,
+        data_converter=pydantic_data_converter,
     )
 
     # Run a worker for the workflow
diff --git a/pydantic_converter_v1/starter.py b/pydantic_converter_v1/starter.py
index 8ab58bdc..33b0ad28 100644
--- a/pydantic_converter_v1/starter.py
+++ b/pydantic_converter_v1/starter.py
@@ -4,6 +4,7 @@
 from ipaddress import IPv4Address
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from pydantic_converter_v1.converter import pydantic_data_converter
 from pydantic_converter_v1.worker import MyPydanticModel, MyWorkflow
@@ -11,9 +12,15 @@
 
 async def main():
     logging.basicConfig(level=logging.INFO)
+
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client using the Pydantic converter
+
     client = await Client.connect(
-        "localhost:7233", data_converter=pydantic_data_converter
+        **config,
+        data_converter=pydantic_data_converter,
     )
 
     # Run workflow
diff --git a/pydantic_converter_v1/worker.py b/pydantic_converter_v1/worker.py
index 5c22b6f1..5ff65e1e 100644
--- a/pydantic_converter_v1/worker.py
+++ b/pydantic_converter_v1/worker.py
@@ -7,6 +7,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from temporalio.worker.workflow_sandbox import (
     SandboxedWorkflowRunner,
@@ -70,9 +71,14 @@ def new_sandbox_runner() -> SandboxedWorkflowRunner:
 
 async def main():
     logging.basicConfig(level=logging.INFO)
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client using the Pydantic converter
+
     client = await Client.connect(
-        "localhost:7233", data_converter=pydantic_data_converter
+        **config,
+        data_converter=pydantic_data_converter,
     )
 
     # Run a worker for the workflow
diff --git a/pyproject.toml b/pyproject.toml
index 73007250..caae123c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }]
 requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
-dependencies = ["temporalio>=1.18.0,<2"]
+dependencies = ["temporalio>=1.23.0,<2"]
 
 [project.urls]
 Homepage = "https://github.com/temporalio/samples-python"
@@ -16,8 +16,7 @@ Documentation = "https://docs.temporal.io/docs/python"
 
 [dependency-groups]
 dev = [
-    "black>=22.3.0,<23",
-    "isort>=5.10.1,<6",
+    "ruff>=0.5.0,<0.6",
     "mypy>=1.4.1,<2",
     "pytest>=7.1.2,<8",
     "pytest-asyncio>=0.18.3,<0.19",
@@ -28,16 +27,9 @@ dev = [
     "poethepoet>=0.36.0",
 ]
 bedrock = ["boto3>=1.34.92,<2"]
-dsl = [
-    "pyyaml>=6.0.1,<7",
-    "types-pyyaml>=6.0.12,<7",
-    "dacite>=1.8.1,<2",
-]
-encryption = [
-    "cryptography>=38.0.1,<39",
-    "aiohttp>=3.8.1,<4",
-]
-gevent = ["gevent==25.4.2 ; python_version >= '3.8'"]
+dsl = ["pyyaml>=6.0.1,<7", "types-pyyaml>=6.0.12,<7", "dacite>=1.8.1,<2"]
+encryption = ["cryptography>=38.0.1,<39", "aiohttp>=3.8.1,<4"]
+gevent = ["gevent>=25.4.2 ; python_version >= '3.8'"]
 langchain = [
     "langchain>=0.1.7,<0.2 ; python_version >= '3.8.1' and python_version < '4.0'",
     "langchain-openai>=0.0.6,<0.0.7 ; python_version >= '3.8.1' and python_version < '4.0'",
@@ -47,9 +39,7 @@ langchain = [
     "tqdm>=4.62.0,<5",
     "uvicorn[standard]>=0.24.0.post1,<0.25",
 ]
-nexus = [
-    "nexus-rpc>=1.1.0,<2",
-]
+nexus = ["nexus-rpc>=1.1.0,<2"]
 open-telemetry = [
     "temporalio[opentelemetry]",
     "opentelemetry-exporter-otlp-proto-grpc",
@@ -61,10 +51,7 @@ openai-agents = [
 ]
 pydantic-converter = ["pydantic>=2.10.6,<3"]
 sentry = ["sentry-sdk>=2.13.0"]
-trio-async = [
-    "trio>=0.28.0,<0.29",
-    "trio-asyncio>=0.15.0,<0.16",
-]
+trio-async = ["trio>=0.28.0,<0.29", "trio-asyncio>=0.15.0,<0.16"]
 cloud-export-to-parquet = [
     "pandas>=2.2.2,<3 ; python_version >= '3.10' and python_version < '4.0'",
     "numpy>=1.26.0,<2 ; python_version >= '3.10' and python_version < '3.13'",
@@ -72,6 +59,8 @@ cloud-export-to-parquet = [
     "pyarrow>=19.0.1",
 ]
 
+[tool.hatch.metadata]
+allow-direct-references = true
 
 [tool.hatch.build.targets.sdist]
 include = ["./**/*.py"]
@@ -119,8 +108,15 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.poe.tasks]
-format = [{cmd = "uv run black ."}, {cmd = "uv run isort ."}]
-lint = [{cmd = "uv run black --check ."}, {cmd = "uv run isort --check-only ."}, {ref = "lint-types" }]
+format = [
+    { cmd = "uv run ruff check --select I --fix" },
+    { cmd = "uv run ruff format" },
+]
+lint = [
+    { cmd = "uv run ruff check --select I" },
+    { cmd = "uv run ruff format --check" },
+    { ref = "lint-types" },
+]
 lint-types = "uv run --all-groups mypy --check-untyped-defs --namespace-packages ."
 test = "uv run --all-groups pytest"
 
@@ -130,9 +126,8 @@ log_cli = true
 log_cli_level = "INFO"
 log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)"
 
-[tool.isort]
-profile = "black"
-skip_gitignore = true
+[tool.ruff]
+target-version = "py310"
 
 [tool.mypy]
 ignore_missing_imports = true
diff --git a/replay/replayer.py b/replay/replayer.py
index 49f16313..4787b33b 100644
--- a/replay/replayer.py
+++ b/replay/replayer.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Replayer
 
 from replay.worker import JustActivity, JustTimer, TimerThenActivity
@@ -8,7 +9,9 @@
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Fetch the histories of the workflows to be replayed
     workflows = client.list_workflows('WorkflowId="replayer-workflow-id"')
diff --git a/replay/starter.py b/replay/starter.py
index daf07098..228e50c3 100644
--- a/replay/starter.py
+++ b/replay/starter.py
@@ -1,13 +1,16 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from replay.worker import JustActivity, JustTimer, TimerThenActivity
 
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a few workflows
     # Importantly, normally we would *not* advise re-using the same workflow ID for all of these,
diff --git a/replay/worker.py b/replay/worker.py
index 3aebc099..4ac57da2 100644
--- a/replay/worker.py
+++ b/replay/worker.py
@@ -5,6 +5,7 @@
 
 from temporalio import activity, workflow
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 
@@ -71,7 +72,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
diff --git a/resource_pool/README.md b/resource_pool/README.md
index fe48e1ab..5b746d7b 100644
--- a/resource_pool/README.md
+++ b/resource_pool/README.md
@@ -16,7 +16,7 @@ You should see output indicating that the `ResourcePoolWorkflow` serialized acce
 
 You can query the set of current resource resource holders with:
 
-    tctl wf query -w resource_pool --qt get_current_holders
+    temporal workflow query --workflow-id resource_pool --name get_current_holders
 
 # Other approaches
 
@@ -41,7 +41,7 @@ Temporal's durable execution guarantees, this can only happen if:
 
 If a leak were to happen, you could discover the identity of the leaker using the query above, then:
 
-    tctl wf signal -w resource_pool --name release_resource --input '{ "release_key": "<the key from the query above>" }
+    temporal workflow signal --workflow-id resource_pool --name release_resource --input '{ "release_key": "<the key from the query above>" }'
 
 Performance: A single ResourcePoolWorkflow scales to tens, but not hundreds, of request/release events per second. It is
 best suited for allocating resources to long-running workflows. Actual performance will depend on your temporal server's
diff --git a/resource_pool/starter.py b/resource_pool/starter.py
index 2ae1ab44..2a50357a 100644
--- a/resource_pool/starter.py
+++ b/resource_pool/starter.py
@@ -3,6 +3,7 @@
 
 from temporalio.client import Client, WorkflowFailureError, WorkflowHandle
 from temporalio.common import WorkflowIDConflictPolicy
+from temporalio.envconfig import ClientConfig
 
 from resource_pool.pool_client.resource_pool_workflow import (
     ResourcePoolWorkflow,
@@ -17,7 +18,9 @@
 
 async def main() -> None:
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Initialize the resource pool
     resource_pool_handle = await client.start_workflow(
diff --git a/resource_pool/worker.py b/resource_pool/worker.py
index cb3a06dd..253e5f8e 100644
--- a/resource_pool/worker.py
+++ b/resource_pool/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from resource_pool.pool_client.resource_pool_workflow import ResourcePoolWorkflow
@@ -12,7 +13,9 @@ async def main() -> None:
     logging.basicConfig(level=logging.INFO)
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     worker = Worker(
diff --git a/schedules/backfill_schedule.py b/schedules/backfill_schedule.py
index 769b6a78..708ad07f 100644
--- a/schedules/backfill_schedule.py
+++ b/schedules/backfill_schedule.py
@@ -2,10 +2,14 @@
 from datetime import datetime, timedelta
 
 from temporalio.client import Client, ScheduleBackfill, ScheduleOverlapPolicy
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/schedules/delete_schedule.py b/schedules/delete_schedule.py
index b6265636..d7b64394 100644
--- a/schedules/delete_schedule.py
+++ b/schedules/delete_schedule.py
@@ -1,10 +1,14 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/schedules/describe_schedule.py b/schedules/describe_schedule.py
index 22bb832d..0db3fba5 100644
--- a/schedules/describe_schedule.py
+++ b/schedules/describe_schedule.py
@@ -1,10 +1,14 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/schedules/list_schedule.py b/schedules/list_schedule.py
index a863aeee..15c0fd6a 100644
--- a/schedules/list_schedule.py
+++ b/schedules/list_schedule.py
@@ -1,10 +1,13 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 
 async def main() -> None:
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     async for schedule in await client.list_schedules():
         print(f"List Schedule Info: {schedule.info}.")
diff --git a/schedules/pause_schedule.py b/schedules/pause_schedule.py
index a6f8721c..79a9ca03 100644
--- a/schedules/pause_schedule.py
+++ b/schedules/pause_schedule.py
@@ -1,10 +1,14 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/schedules/run_worker.py b/schedules/run_worker.py
index 5252b1f7..00d14aaa 100644
--- a/schedules/run_worker.py
+++ b/schedules/run_worker.py
@@ -1,13 +1,17 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from your_activities import your_activity
 from your_workflows import YourSchedulesWorkflow
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     worker = Worker(
         client,
         task_queue="schedules-task-queue",
diff --git a/schedules/start_schedule.py b/schedules/start_schedule.py
index 6089be95..ead6202b 100644
--- a/schedules/start_schedule.py
+++ b/schedules/start_schedule.py
@@ -9,11 +9,15 @@
     ScheduleSpec,
     ScheduleState,
 )
+from temporalio.envconfig import ClientConfig
 from your_workflows import YourSchedulesWorkflow
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     await client.create_schedule(
         "workflow-schedule-id",
         Schedule(
diff --git a/schedules/trigger_schedule.py b/schedules/trigger_schedule.py
index ca1f38f1..30939d32 100644
--- a/schedules/trigger_schedule.py
+++ b/schedules/trigger_schedule.py
@@ -1,10 +1,14 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/schedules/update_schedule.py b/schedules/update_schedule.py
index 979c23a8..709eeda3 100644
--- a/schedules/update_schedule.py
+++ b/schedules/update_schedule.py
@@ -6,10 +6,14 @@
     ScheduleUpdate,
     ScheduleUpdateInput,
 )
+from temporalio.envconfig import ClientConfig
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     handle = client.get_schedule_handle(
         "workflow-schedule-id",
     )
diff --git a/sentry/README.md b/sentry/README.md
index 1cc75cf6..0062f815 100644
--- a/sentry/README.md
+++ b/sentry/README.md
@@ -3,6 +3,8 @@
 This sample shows how to configure [Sentry](https://sentry.io) SDK (version 2) to intercept and capture errors from the Temporal SDK
 for workflows and activities. The integration adds some useful context to the errors, such as the activity type, task queue, etc.
 
+Note: Sentry currently does not support Python 3.14, likewise this sample does not support Python 3.14.
+
 ## Further details
 
 This is a small modification of the original example Sentry integration in this repo based on SDK v1. The integration
diff --git a/sentry/starter.py b/sentry/starter.py
index 372a732c..aa3f6271 100644
--- a/sentry/starter.py
+++ b/sentry/starter.py
@@ -1,13 +1,17 @@
 import asyncio
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from sentry.workflow import SentryExampleWorkflow, SentryExampleWorkflowInput
 
 
 async def main():
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Connect client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run workflow
     try:
diff --git a/sentry/worker.py b/sentry/worker.py
index 723b8e52..1bcd153e 100644
--- a/sentry/worker.py
+++ b/sentry/worker.py
@@ -5,6 +5,7 @@
 from sentry_sdk.integrations.asyncio import AsyncioIntegration
 from sentry_sdk.types import Event, Hint
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 from temporalio.worker.workflow_sandbox import (
     SandboxedWorkflowRunner,
@@ -51,8 +52,11 @@ async def main():
     # Initialize the Sentry SDK
     initialise_sentry()
 
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+
     # Start client
-    client = await Client.connect("localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker for the workflow
     async with Worker(
diff --git a/sleep_for_days/README.md b/sleep_for_days/README.md
index 69302cc7..5117fcdb 100644
--- a/sleep_for_days/README.md
+++ b/sleep_for_days/README.md
@@ -2,7 +2,7 @@
 
 This sample demonstrates how to create a Temporal workflow that runs forever, sending an email every 30 days.
 
-To run, first see the main [README.md](../../README.md) for prerequisites.
+To run, first see the main [README.md](../README.md) for prerequisites.
 
 Then create two terminals.
 
diff --git a/sleep_for_days/starter.py b/sleep_for_days/starter.py
index 765842b2..98dc083d 100644
--- a/sleep_for_days/starter.py
+++ b/sleep_for_days/starter.py
@@ -3,13 +3,18 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from sleep_for_days import TASK_QUEUE
 from sleep_for_days.workflows import SleepForDaysWorkflow
 
 
 async def main(client: Optional[Client] = None):
-    client = client or await Client.connect("localhost:7233")
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        client = await Client.connect(**config)
+
     wf_handle = await client.start_workflow(
         SleepForDaysWorkflow.run,
         id=f"sleep-for-days-workflow-id-{uuid.uuid4()}",
diff --git a/sleep_for_days/worker.py b/sleep_for_days/worker.py
index d03ec726..59799607 100644
--- a/sleep_for_days/worker.py
+++ b/sleep_for_days/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from sleep_for_days import TASK_QUEUE
@@ -10,7 +11,9 @@
 
 
 async def main():
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     worker = Worker(
         client,
diff --git a/tests/hello/hello_change_log_level_test.py b/tests/hello/hello_change_log_level_test.py
index e3cd2334..e83e08c4 100644
--- a/tests/hello/hello_change_log_level_test.py
+++ b/tests/hello/hello_change_log_level_test.py
@@ -10,7 +10,6 @@
 
 
 async def test_workflow_with_log_capture(client: Client):
-
     log_stream = io.StringIO()
     handler = logging.StreamHandler(log_stream)
     handler.setLevel(logging.ERROR)
diff --git a/tests/hello/hello_standalone_activity_test.py b/tests/hello/hello_standalone_activity_test.py
new file mode 100644
index 00000000..d40b09fa
--- /dev/null
+++ b/tests/hello/hello_standalone_activity_test.py
@@ -0,0 +1,31 @@
+import uuid
+from concurrent.futures import ThreadPoolExecutor
+from datetime import timedelta
+
+import pytest
+from temporalio.client import Client
+from temporalio.worker import Worker
+
+from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting
+
+
+async def test_execute_standalone_activity(client: Client):
+    pytest.skip(
+        "Standalone Activity is not yet supported by `temporal server start-dev`"
+    )
+    task_queue_name = str(uuid.uuid4())
+
+    async with Worker(
+        client,
+        task_queue=task_queue_name,
+        activities=[compose_greeting],
+        activity_executor=ThreadPoolExecutor(5),
+    ):
+        result = await client.execute_activity(
+            compose_greeting,
+            args=[ComposeGreetingInput("Hello", "World")],
+            id=str(uuid.uuid4()),
+            task_queue=task_queue_name,
+            start_to_close_timeout=timedelta(seconds=10),
+        )
+        assert result == "Hello, World!"
diff --git a/tests/resource_pool/workflow_test.py b/tests/resource_pool/workflow_test.py
index 42a6fbde..0d2eb654 100644
--- a/tests/resource_pool/workflow_test.py
+++ b/tests/resource_pool/workflow_test.py
@@ -28,7 +28,7 @@ async def test_resource_pool_workflow(client: Client):
     # Mock out the activity to count executions
     @activity.defn(name="use_resource")
     async def use_resource_mock(input: UseResourceActivityInput) -> None:
-        workflow_id = activity.info().workflow_id
+        workflow_id = activity.info().workflow_id or ""
         resource_usage[input.resource].append((workflow_id, "start"))
         # We need a small sleep here to bait out races
         await asyncio.sleep(0.05)
@@ -70,10 +70,10 @@ async def use_resource_mock(input: UseResourceActivityInput) -> None:
                     holder = None
 
         # Are all the resources free, per the query?
-        handle: WorkflowHandle[
-            ResourcePoolWorkflow, None
-        ] = client.get_workflow_handle_for(
-            ResourcePoolWorkflow.run, RESOURCE_POOL_WORKFLOW_ID
+        handle: WorkflowHandle[ResourcePoolWorkflow, None] = (
+            client.get_workflow_handle_for(
+                ResourcePoolWorkflow.run, RESOURCE_POOL_WORKFLOW_ID
+            )
         )
         query_result = await handle.query(ResourcePoolWorkflow.get_current_holders)
         assert query_result == {"r_a": None, "r_b": None, "r_c": None}
diff --git a/tests/sentry/test_interceptor.py b/tests/sentry/test_interceptor.py
index 731bad8c..f9f931e8 100644
--- a/tests/sentry/test_interceptor.py
+++ b/tests/sentry/test_interceptor.py
@@ -1,7 +1,15 @@
+import sys
 import unittest.mock
 from collections import abc
 
 import pytest
+
+if sys.version_info >= (3, 14):
+    pytest.skip(
+        "Sentry does not support Python 3.14 yet.",
+        allow_module_level=True,
+    )
+
 import sentry_sdk
 import temporalio.activity
 import temporalio.workflow
diff --git a/tests/trio_async/workflow_test.py b/tests/trio_async/workflow_test.py
index cce95fac..15d678aa 100644
--- a/tests/trio_async/workflow_test.py
+++ b/tests/trio_async/workflow_test.py
@@ -2,6 +2,11 @@
 import uuid
 
 import pytest
+
+if sys.version_info >= (3, 14):
+    pytest.skip("trio-asyncio not supported on Python 3.14+", allow_module_level=True)
+
+
 import trio_asyncio
 from temporalio.client import Client
 from temporalio.worker import Worker
diff --git a/trio_async/README.md b/trio_async/README.md
index 4c9770fb..dfa02eab 100644
--- a/trio_async/README.md
+++ b/trio_async/README.md
@@ -5,6 +5,8 @@ This sample shows how to use Temporal asyncio with [Trio](https://trio.readthedo
 and worker in a Trio setting, and how Trio-based code can run in both asyncio async activities and threaded sync
 activities.
 
+NOTE: This sample only works on Python versions < 3.14.
+
 For this sample, the optional `trio_async` dependency group must be included. To include, run:
 
     uv sync --group trio_async
diff --git a/trio_async/starter.py b/trio_async/starter.py
index 67f7568b..6535ca98 100644
--- a/trio_async/starter.py
+++ b/trio_async/starter.py
@@ -2,6 +2,7 @@
 
 import trio_asyncio
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from trio_async import workflows
 
@@ -11,7 +12,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Execute the workflow
     result = await client.execute_workflow(
diff --git a/trio_async/worker.py b/trio_async/worker.py
index 29f059b4..7cb9685f 100644
--- a/trio_async/worker.py
+++ b/trio_async/worker.py
@@ -5,6 +5,7 @@
 
 import trio_asyncio
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from trio_async import activities, workflows
@@ -15,7 +16,9 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Temporal runs threaded activities and workflow tasks via run_in_executor.
     # Due to how trio_asyncio works, you can only do run_in_executor with their
@@ -23,7 +26,6 @@ async def main():
     # for both activities and workflow tasks and by default the worker supports
     # 100 max concurrent activity tasks and 100 max concurrent workflow tasks.
     with trio_asyncio.TrioExecutor(max_workers=200) as thread_executor:
-
         # Run a worker for the workflow
         async with Worker(
             client,
diff --git a/updatable_timer/starter.py b/updatable_timer/starter.py
index 88b4d0d4..8ce0f4f9 100644
--- a/updatable_timer/starter.py
+++ b/updatable_timer/starter.py
@@ -5,6 +5,7 @@
 
 from temporalio import exceptions
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from updatable_timer import TASK_QUEUE
 from updatable_timer.workflow import Workflow
@@ -13,7 +14,10 @@
 async def main(client: Optional[Client] = None):
     logging.basicConfig(level=logging.INFO)
 
-    client = client or await Client.connect("localhost:7233")
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        client = await Client.connect(**config)
     try:
         handle = await client.start_workflow(
             Workflow.run,
diff --git a/updatable_timer/wake_up_time_updater.py b/updatable_timer/wake_up_time_updater.py
index f406c186..43d24838 100644
--- a/updatable_timer/wake_up_time_updater.py
+++ b/updatable_timer/wake_up_time_updater.py
@@ -4,6 +4,7 @@
 from typing import Optional
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from updatable_timer.workflow import Workflow
 
@@ -11,7 +12,11 @@
 async def main(client: Optional[Client] = None):
     logging.basicConfig(level=logging.INFO)
 
-    client = client or await Client.connect("localhost:7233")
+    if not client:
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        client = await Client.connect(**config)
+
     handle = client.get_workflow_handle(workflow_id="updatable-timer-workflow")
     # signal workflow about the wake up time change
     await handle.signal(
diff --git a/updatable_timer/worker.py b/updatable_timer/worker.py
index 096fa1ff..8bb3d47a 100644
--- a/updatable_timer/worker.py
+++ b/updatable_timer/worker.py
@@ -2,6 +2,7 @@
 import logging
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from updatable_timer import TASK_QUEUE
@@ -13,7 +14,10 @@
 async def main():
     logging.basicConfig(level=logging.INFO)
 
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
     async with Worker(
         client,
         task_queue=TASK_QUEUE,
diff --git a/uv.lock b/uv.lock
index 73424b77..dd39daa7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.13'",
@@ -12,7 +12,7 @@ resolution-markers = [
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 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/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
@@ -21,7 +21,7 @@ wheels = [
 [[package]]
 name = "aiohttp"
 version = "3.12.14"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
@@ -107,7 +107,7 @@ wheels = [
 [[package]]
 name = "aiosignal"
 version = "1.4.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "frozenlist" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
@@ -120,7 +120,7 @@ wheels = [
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
@@ -129,7 +129,7 @@ wheels = [
 [[package]]
 name = "anyio"
 version = "4.9.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
@@ -144,7 +144,7 @@ wheels = [
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/87/d6/21b30a550dafea84b1b8eee21b5e23fa16d010ae006011221f33dcd8d7f8/async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f", size = 8345, upload-time = "2023-08-10T16:35:56.907Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/fa/e01228c2938de91d47b307831c62ab9e4001e747789d0b05baf779a6488c/async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028", size = 5721, upload-time = "2023-08-10T16:35:55.203Z" },
@@ -153,36 +153,16 @@ wheels = [
 [[package]]
 name = "attrs"
 version = "25.3.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b", size = 812032, upload-time = "2025-03-13T11:10:22.779Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
 ]
 
-[[package]]
-name = "black"
-version = "22.12.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "click" },
-    { name = "mypy-extensions" },
-    { name = "pathspec" },
-    { name = "platformdirs" },
-    { name = "tomli", marker = "python_full_version < '3.11'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/a6/59/e873cc6807fb62c11131e5258ca15577a3b7452abad08dc49286cf8245e8/black-22.12.0.tar.gz", hash = "sha256:229351e5a18ca30f447bf724d007f890f97e13af070bb6ad4c0a441cd7596a2f", size = 553112, upload-time = "2022-12-09T15:57:04.428Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/79/d9/60852a6fc2f85374db20a9767dacfe50c2172eb8388f46018c8daf836995/black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d", size = 1556665, upload-time = "2022-12-09T16:04:10.897Z" },
-    { url = "https://files.pythonhosted.org/packages/71/57/975782465cc6b514f2c972421e29b933dfbb51d4a95948a4e0e94f36ea38/black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351", size = 1205632, upload-time = "2022-12-09T16:14:38.465Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/e0/6aa02d14785c4039b38bfed6f9ee28a952b2d101c64fc97b15811fa8bd04/black-22.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d30b212bffeb1e252b31dd269dfae69dd17e06d92b87ad26e23890f3efea366f", size = 1536577, upload-time = "2022-12-09T16:04:12.721Z" },
-    { url = "https://files.pythonhosted.org/packages/4c/49/420dcfccba3215dc4e5790fa47572ef14129df1c5e95dd87b5ad30211b01/black-22.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:7412e75863aa5c5411886804678b7d083c7c28421210180d67dfd8cf1221e1f4", size = 1209873, upload-time = "2022-12-09T16:14:40.318Z" },
-    { url = "https://files.pythonhosted.org/packages/0c/51/1f7f93c0555eaf4cbb628e26ba026e3256174a45bd9397ff1ea7cf96bad5/black-22.12.0-py3-none-any.whl", hash = "sha256:436cc9167dd28040ad90d3b404aec22cedf24a6e4d7de221bec2730ec0c97bcf", size = 167343, upload-time = "2022-12-09T15:57:02.229Z" },
-]
-
 [[package]]
 name = "boto3"
 version = "1.39.4"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "botocore" },
     { name = "jmespath" },
@@ -196,7 +176,7 @@ wheels = [
 [[package]]
 name = "botocore"
 version = "1.39.4"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "jmespath" },
     { name = "python-dateutil" },
@@ -210,7 +190,7 @@ wheels = [
 [[package]]
 name = "certifi"
 version = "2025.7.9"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
@@ -219,7 +199,7 @@ wheels = [
 [[package]]
 name = "cffi"
 version = "1.17.1"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "pycparser" },
 ]
@@ -276,7 +256,7 @@ wheels = [
 [[package]]
 name = "charset-normalizer"
 version = "3.4.2"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367, upload-time = "2025-05-02T08:34:42.01Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/95/28/9901804da60055b406e1a1c5ba7aac1276fb77f1dde635aabfc7fd84b8ab/charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941", size = 201818, upload-time = "2025-05-02T08:31:46.725Z" },
@@ -337,7 +317,7 @@ wheels = [
 [[package]]
 name = "click"
 version = "8.2.1"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
@@ -349,7 +329,7 @@ wheels = [
 [[package]]
 name = "colorama"
 version = "0.4.6"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
 wheels = [
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@@ -358,7 +338,7 @@ wheels = [
 [[package]]
 name = "cryptography"
 version = "38.0.4"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "cffi" },
 ]
@@ -381,7 +361,7 @@ wheels = [
 [[package]]
 name = "dacite"
 version = "1.9.2"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/55/a0/7ca79796e799a3e782045d29bf052b5cde7439a2bbb17f15ff44f7aacc63/dacite-1.9.2.tar.gz", hash = "sha256:6ccc3b299727c7aa17582f0021f6ae14d5de47c7227932c47fec4cdfefd26f09", size = 22420, upload-time = "2025-02-05T09:27:29.757Z" }
 wheels = [
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@@ -390,7 +370,7 @@ wheels = [
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "marshmallow" },
     { name = "typing-inspect" },
@@ -403,7 +383,7 @@ wheels = [
 [[package]]
 name = "distro"
 version = "1.9.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722, upload-time = "2023-12-24T09:54:32.31Z" }
 wheels = [
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@@ -412,7 +392,7 @@ wheels = [
 [[package]]
 name = "exceptiongroup"
 version = "1.3.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
@@ -424,7 +404,7 @@ wheels = [
 [[package]]
 name = "fastapi"
 version = "0.116.1"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "pydantic" },
     { name = "starlette" },
@@ -438,7 +418,7 @@ wheels = [
 [[package]]
 name = "filelock"
 version = "3.18.0"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple/" }
 sdist = { url = "https://files.pythonhosted.org/packages/0a/10/c23352565a6544bdc5353e0b15fc1c563352101f30e24bf500207a54df9a/filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2", size = 18075, upload-time = "2025-03-14T07:11:40.47Z" }
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@@ -447,7 +427,7 @@ wheels = [
 [[package]]
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diff --git a/worker_multiprocessing/README.md b/worker_multiprocessing/README.md
new file mode 100644
index 00000000..a4f06f86
--- /dev/null
+++ b/worker_multiprocessing/README.md
@@ -0,0 +1,93 @@
+# Worker Multiprocessing Sample
+
+
+## Python Concurrency Limitations
+
+CPU-bound tasks effectively cannot run in parallel in Python due to the [Global Interpreter Lock (GIL)](https://docs.python.org/3/glossary.html#term-global-interpreter-lock). The Python standard library's [`threading` module](https://docs.python.org/3/library/threading.html) provides the following guidance:
+
+> CPython implementation detail: In CPython, due to the Global Interpreter Lock, only one thread can execute Python code at once (even though certain performance-oriented libraries might overcome this limitation). If you want your application to make better use of the computational resources of multi-core machines, you are advised to use multiprocessing or concurrent.futures.ProcessPoolExecutor. However, threading is still an appropriate model if you want to run multiple I/O-bound tasks simultaneously.
+
+## Temporal Workflow Tasks in Python
+
+[Temporal Workflow Tasks](https://docs.temporal.io/tasks#workflow-task) are CPU-bound operations and therefore cannot be run concurrently using threads or an async runtime. Instead, we can use [`concurrent.futures.ProcessPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ProcessPoolExecutor) or the [`multiprocessing` module](https://docs.python.org/3/library/multiprocessing.html), as suggested by the `threading` documentation, to more appropriately utilize machine resources.
+
+This sample demonstrates how to use `concurrent.futures.ProcessPoolExecutor` to run multiple workflow worker processes.
+
+## Running the Sample
+
+To run, first see the root [README.md](../README.md) for prerequisites. Then execute the following commands from the root directory:
+
+```
+uv run worker_multiprocessing/worker.py
+uv run worker_multiprocessing/starter.py
+```
+
+Both `worker.py` and `starter.py` have minimal arguments that can be adjusted to modify how the sample runs.
+
+```
+uv run worker_multiprocessing/worker.py -h
+
+usage: worker.py [-h] [-w NUM_WORKFLOW_WORKERS] [-a NUM_ACTIVITY_WORKERS]
+
+options:
+  -h, --help            show this help message and exit
+  -w, --num-workflow-workers NUM_WORKFLOW_WORKERS
+  -a, --num-activity-workers NUM_ACTIVITY_WORKERS
+```
+
+```
+uv run worker_multiprocessing/starter.py -h
+
+usage: starter.py [-h] [-n NUM_WORKFLOWS]
+
+options:
+  -h, --help            show this help message and exit
+  -n, --num-workflows NUM_WORKFLOWS
+                        the number of workflows to execute
+```
+
+## Example Output
+
+```
+uv run worker_multiprocessing/worker.py
+
+starting 2 workflow worker(s) and 1 activity worker(s)
+waiting for keyboard interrupt or for all workers to exit
+workflow-worker:0 starting
+workflow-worker:1 starting
+activity-worker:0 starting
+workflow-worker:0 shutting down
+activity-worker:0 shutting down
+workflow-worker:1 shutting down
+```
+
+
+```
+uv run worker_multiprocessing/starter.py
+
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178
+```
diff --git a/worker_multiprocessing/__init__.py b/worker_multiprocessing/__init__.py
new file mode 100644
index 00000000..d9e30b8a
--- /dev/null
+++ b/worker_multiprocessing/__init__.py
@@ -0,0 +1,2 @@
+WORKFLOW_TASK_QUEUE = "workflow-task-queue"
+ACTIVITY_TASK_QUEUE = "activity-task-queue"
diff --git a/worker_multiprocessing/activities.py b/worker_multiprocessing/activities.py
new file mode 100644
index 00000000..dbbbc677
--- /dev/null
+++ b/worker_multiprocessing/activities.py
@@ -0,0 +1,8 @@
+import os
+
+from temporalio import activity
+
+
+@activity.defn
+async def echo_pid_activity(input: str) -> str:
+    return f"{input} | activity-pid:{os.getpid()}"
diff --git a/worker_multiprocessing/starter.py b/worker_multiprocessing/starter.py
new file mode 100644
index 00000000..3267694d
--- /dev/null
+++ b/worker_multiprocessing/starter.py
@@ -0,0 +1,48 @@
+import argparse
+import asyncio
+import uuid
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+
+from worker_multiprocessing import WORKFLOW_TASK_QUEUE
+from worker_multiprocessing.workflows import ParallelizedWorkflow
+
+
+class Args(argparse.Namespace):
+    num_workflows: int
+
+
+async def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "-n",
+        "--num-workflows",
+        help="the number of workflows to execute",
+        type=int,
+        default=25,
+    )
+    args = parser.parse_args(namespace=Args())
+
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
+
+    # Start several workflows
+    wf_handles = [
+        client.execute_workflow(
+            ParallelizedWorkflow.run,
+            id=f"greeting-workflow-id-{uuid.uuid4()}",
+            task_queue=WORKFLOW_TASK_QUEUE,
+        )
+        for _ in range(args.num_workflows)
+    ]
+
+    # Wait for workflow completion
+    for wf in asyncio.as_completed(wf_handles):
+        result = await wf
+        print(result)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/worker_multiprocessing/worker.py b/worker_multiprocessing/worker.py
new file mode 100644
index 00000000..bda69ba6
--- /dev/null
+++ b/worker_multiprocessing/worker.py
@@ -0,0 +1,146 @@
+import argparse
+import asyncio
+import concurrent.futures
+import dataclasses
+import multiprocessing
+import traceback
+from typing import Literal
+
+from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
+from temporalio.runtime import Runtime, TelemetryConfig
+from temporalio.worker import PollerBehaviorSimpleMaximum, Worker
+from temporalio.worker.workflow_sandbox import (
+    SandboxedWorkflowRunner,
+    SandboxRestrictions,
+)
+
+from worker_multiprocessing import ACTIVITY_TASK_QUEUE, WORKFLOW_TASK_QUEUE
+from worker_multiprocessing.activities import echo_pid_activity
+from worker_multiprocessing.workflows import ParallelizedWorkflow
+
+# Immediately prevent the default Runtime from being created to ensure
+# each process creates it's own
+Runtime.prevent_default()
+
+
+class Args(argparse.Namespace):
+    num_workflow_workers: int
+    num_activity_workers: int
+
+    @property
+    def total_workers(self) -> int:
+        return self.num_activity_workers + self.num_workflow_workers
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-w", "--num-workflow-workers", type=int, default=2)
+    parser.add_argument("-a", "--num-activity-workers", type=int, default=1)
+    args = parser.parse_args(namespace=Args())
+    print(
+        f"starting {args.num_workflow_workers} workflow worker(s) and {args.num_activity_workers} activity worker(s)"
+    )
+
+    # This sample prefers fork to avoid re-importing modules
+    # and decrease startup time. Fork is not available on all
+    # operating systems, so we fallback to 'spawn' when not available
+    try:
+        mp_ctx = multiprocessing.get_context("fork")
+    except ValueError:
+        mp_ctx = multiprocessing.get_context("spawn")  # type: ignore
+
+    with concurrent.futures.ProcessPoolExecutor(
+        args.total_workers, mp_context=mp_ctx
+    ) as executor:
+        # Start workflow workers by submitting them to the
+        # ProcessPoolExecutor
+        worker_futures = [
+            executor.submit(worker_entry, "workflow", i)
+            for i in range(args.num_workflow_workers)
+        ]
+
+        # In this sample, we start activity workers as separate processes in the
+        # same way we do workflow workers. In production, activity workers
+        # are often deployed separately from workflow workers to account for
+        # differing scaling characteristics.
+        worker_futures.extend(
+            [
+                executor.submit(worker_entry, "activity", i)
+                for i in range(args.num_activity_workers)
+            ]
+        )
+
+        try:
+            print("waiting for keyboard interrupt or for all workers to exit")
+            for worker in concurrent.futures.as_completed(worker_futures):
+                print("ERROR: worker exited unexpectedly")
+                if worker.exception():
+                    traceback.print_exception(worker.exception())
+        except KeyboardInterrupt:
+            pass
+
+
+def worker_entry(worker_type: Literal["workflow", "activity"], id: int):
+    Runtime.set_default(Runtime(telemetry=TelemetryConfig()))
+
+    async def run_worker():
+        config = ClientConfig.load_client_connect_config()
+        config.setdefault("target_host", "localhost:7233")
+        client = await Client.connect(**config)
+
+        if worker_type == "workflow":
+            worker = workflow_worker(client)
+        else:
+            worker = activity_worker(client)
+
+        try:
+            print(f"{worker_type}-worker:{id} starting")
+            await asyncio.shield(worker.run())
+        except asyncio.CancelledError:
+            print(f"{worker_type}-worker:{id} shutting down")
+            await worker.shutdown()
+
+    asyncio.run(run_worker())
+
+
+def workflow_worker(client: Client) -> Worker:
+    """
+    Create a workflow worker that is configured to leverage being run
+    as many child processes.
+    """
+    return Worker(
+        client,
+        task_queue=WORKFLOW_TASK_QUEUE,
+        workflows=[ParallelizedWorkflow],
+        # Workflow tasks are CPU bound, but generally execute quickly.
+        # Because we're leveraging multiprocessing to achieve parallelism,
+        # we want each workflow worker to be confirgured for small workflow
+        # task processing.
+        max_concurrent_workflow_tasks=2,
+        workflow_task_poller_behavior=PollerBehaviorSimpleMaximum(2),
+        # Allow workflows to access the os module to access the pid
+        workflow_runner=SandboxedWorkflowRunner(
+            restrictions=dataclasses.replace(
+                SandboxRestrictions.default,
+                invalid_module_members=SandboxRestrictions.invalid_module_members_default.with_child_unrestricted(
+                    "os"
+                ),
+            )
+        ),
+    )
+
+
+def activity_worker(client: Client) -> Worker:
+    """
+    Create a basic activity worker
+    """
+    return Worker(
+        client,
+        task_queue=ACTIVITY_TASK_QUEUE,
+        activities=[echo_pid_activity],
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/worker_multiprocessing/workflows.py b/worker_multiprocessing/workflows.py
new file mode 100644
index 00000000..04f6b635
--- /dev/null
+++ b/worker_multiprocessing/workflows.py
@@ -0,0 +1,22 @@
+import os
+from datetime import timedelta
+
+from temporalio import workflow
+
+from worker_multiprocessing import ACTIVITY_TASK_QUEUE
+from worker_multiprocessing.activities import echo_pid_activity
+
+
+@workflow.defn
+class ParallelizedWorkflow:
+    @workflow.run
+    async def run(self) -> str:
+        pid = os.getpid()
+        activity_result = await workflow.execute_activity(
+            echo_pid_activity,
+            f"wf-starting-pid:{pid}",
+            task_queue=ACTIVITY_TASK_QUEUE,
+            start_to_close_timeout=timedelta(seconds=10),
+        )
+
+        return f"{activity_result} | wf-ending-pid:{pid}"
diff --git a/worker_specific_task_queues/starter.py b/worker_specific_task_queues/starter.py
index c55c63be..61009436 100644
--- a/worker_specific_task_queues/starter.py
+++ b/worker_specific_task_queues/starter.py
@@ -2,13 +2,16 @@
 from uuid import uuid4
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 from worker_specific_task_queues.tasks import FileProcessing
 
 
 async def main():
     # Connect client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Start 10 concurrent workflows
     futures = []
diff --git a/worker_specific_task_queues/worker.py b/worker_specific_task_queues/worker.py
index 30ea18b6..95824cfd 100644
--- a/worker_specific_task_queues/worker.py
+++ b/worker_specific_task_queues/worker.py
@@ -6,6 +6,7 @@
 
 from temporalio import activity
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker
 
 from worker_specific_task_queues import tasks
@@ -31,7 +32,9 @@ async def select_task_queue() -> str:
         return task_queue
 
     # Start client
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Run a worker to distribute the workflows
     run_futures = []
diff --git a/worker_versioning/app.py b/worker_versioning/app.py
index 8b32aa94..78e1d641 100644
--- a/worker_versioning/app.py
+++ b/worker_versioning/app.py
@@ -5,6 +5,7 @@
 import uuid
 
 from temporalio.client import Client
+from temporalio.envconfig import ClientConfig
 
 TASK_QUEUE = "worker-versioning"
 DEPLOYMENT_NAME = "my-deployment"
@@ -13,7 +14,9 @@
 
 
 async def main() -> None:
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Wait for v1 worker and set as current version
     logging.info(
diff --git a/worker_versioning/workerv1.py b/worker_versioning/workerv1.py
index 13c4ed4b..221b5ca9 100644
--- a/worker_versioning/workerv1.py
+++ b/worker_versioning/workerv1.py
@@ -5,6 +5,7 @@
 
 from temporalio.client import Client
 from temporalio.common import WorkerDeploymentVersion
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker, WorkerDeploymentConfig
 
 from worker_versioning.activities import some_activity, some_incompatible_activity
@@ -16,6 +17,8 @@
 
 async def main() -> None:
     """Run worker v1."""
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
     client = await Client.connect("localhost:7233")
 
     # Create worker v1
diff --git a/worker_versioning/workerv1_1.py b/worker_versioning/workerv1_1.py
index 779db3f9..4f21d616 100644
--- a/worker_versioning/workerv1_1.py
+++ b/worker_versioning/workerv1_1.py
@@ -5,6 +5,7 @@
 
 from temporalio.client import Client
 from temporalio.common import WorkerDeploymentVersion
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker, WorkerDeploymentConfig
 
 from worker_versioning.activities import some_activity, some_incompatible_activity
@@ -16,7 +17,9 @@
 
 async def main() -> None:
     """Run worker v1.1."""
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create worker v1.1
     worker = Worker(
diff --git a/worker_versioning/workerv2.py b/worker_versioning/workerv2.py
index 107e1a52..557f70ab 100644
--- a/worker_versioning/workerv2.py
+++ b/worker_versioning/workerv2.py
@@ -5,6 +5,7 @@
 
 from temporalio.client import Client
 from temporalio.common import WorkerDeploymentVersion
+from temporalio.envconfig import ClientConfig
 from temporalio.worker import Worker, WorkerDeploymentConfig
 
 from worker_versioning.activities import some_activity, some_incompatible_activity
@@ -16,7 +17,9 @@
 
 async def main() -> None:
     """Run worker v2."""
-    client = await Client.connect("localhost:7233")
+    config = ClientConfig.load_client_connect_config()
+    config.setdefault("target_host", "localhost:7233")
+    client = await Client.connect(**config)
 
     # Create worker v2
     worker = Worker(