rg --json 'uv run python' | rg-replace 'uv run'

Author: dandavison

.github/workflows/ci.yml

@@ -50,7 +50,7 @@ jobs:
         if: ${{ matrix.python == '3.12' }}
         run: |
           uv sync --group gevent
-          uv run python gevent_async/test/run_combined.py
+          uv run gevent_async/test/run_combined.py
 
       - name: Upload junit-xml artifacts
         uses: actions/upload-artifact@v4

README.md

@@ -18,9 +18,9 @@ With this repository cloned, run the following at the root of the directory:
 
     uv sync
 
-That loads all required dependencies. Then to run a sample, usually you just run it in Python. For example:
+That loads all required dependencies. Then to run a sample, usually you just run it under uv. For example:
 
-    uv run python hello/hello_activity.py
+    uv run hello/hello_activity.py
 
 Some examples require extra dependencies. See each sample's directory for specific instructions.
 

activity_worker/README.md

@@ -8,6 +8,6 @@ First run the Go workflow worker by running this in the `go_workflow` directory
 
 Then in another terminal, run the sample from this directory:
 
-    uv run python activity_worker.py
+    uv run activity_worker.py
 
 The Python code will invoke the Go workflow which will execute the Python activity and return.

bedrock/basic/README.md

@@ -4,7 +4,7 @@ A basic Bedrock workflow. Starts a workflow with a prompt, generates a response
 
 To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory:
 
-1. Run the worker: `uv run python run_worker.py`
+1. Run the worker: `uv run run_worker.py`
 2. In another terminal run the client with a prompt:
 
-    e.g. `uv run python send_message.py 'What animals are marsupials?'`
+    e.g. `uv run send_message.py 'What animals are marsupials?'`

bedrock/entity/README.md

@@ -4,16 +4,16 @@ Multi-Turn Chat using an Entity Workflow. The workflow runs forever unless expli
 
 To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory:
 
-1. Run the worker: `uv run python run_worker.py`
+1. Run the worker: `uv run run_worker.py`
 2. In another terminal run the client with a prompt.
 
-    Example: `uv run python send_message.py 'What animals are marsupials?'`
+    Example: `uv run send_message.py 'What animals are marsupials?'`
 
 3. View the worker's output for the response.
 4. Give followup prompts by signaling the workflow.
 
-    Example: `uv run python send_message.py 'Do they lay eggs?'`
+    Example: `uv run send_message.py 'Do they lay eggs?'`
 5. Get the conversation history summary by querying the workflow.
 
-    Example: `uv run python get_history.py`
-6. To end the chat session, run `uv run python end_chat.py`
+    Example: `uv run get_history.py`
+6. To end the chat session, run `uv run end_chat.py`

bedrock/signals_and_queries/README.md

@@ -4,16 +4,16 @@ Adding signals & queries to the [basic Bedrock sample](../1_basic). Starts a wor
 
 To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory:
 
-1. Run the worker: `uv run python run_worker.py`
+1. Run the worker: `uv run run_worker.py`
 2. In another terminal run the client with a prompt.
 
-    Example: `uv run python send_message.py 'What animals are marsupials?'`
+    Example: `uv run send_message.py 'What animals are marsupials?'`
 
 3. View the worker's output for the response.
 4. Give followup prompts by signaling the workflow.
 
-    Example: `uv run python send_message.py 'Do they lay eggs?'`
+    Example: `uv run send_message.py 'Do they lay eggs?'`
 5. Get the conversation history by querying the workflow.
 
-    Example: `uv run python get_history.py`
+    Example: `uv run get_history.py`
 6. The workflow will timeout after inactivity.

cloud_export_to_parquet/README.md

@@ -11,13 +11,13 @@ Before you start, please modify workflow input in `create_schedule.py` with your
 To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker:
 
 ```bash
-uv run python run_worker.py
+uv run run_worker.py
 ```
 
 This will start the worker. Then, in another terminal, run the following to execute the schedule:
 
 ```bash
-uv run python create_schedule.py
+uv run create_schedule.py
 ```
 
 The workflow should convert exported file in your input s3 bucket to parquet in your specified location.

context_propagation/README.md

@@ -6,11 +6,11 @@ this example, [contextvars](https://docs.python.org/3/library/contextvars.html)
 To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the
 worker:
 
-    uv run python worker.py
+    uv run worker.py
 
 This will start the worker. Then, in another terminal, run the following to execute the workflow:
 
-    uv run python starter.py
+    uv run starter.py
 
 The starter terminal should complete with the hello result and the worker terminal should show the logs with the
 propagated user ID contextual information flowing through the workflows/activities.

custom_converter/README.md

@@ -5,11 +5,11 @@ This sample shows how to make a custom payload converter for a type not natively
 To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the
 worker:
 
-    uv run python worker.py
+    uv run worker.py
 
 This will start the worker. Then, in another terminal, run the following to execute the workflow:
 
-    uv run python starter.py
+    uv run starter.py
 
 The workflow should complete with the hello result. If the custom converter was not set for the custom input and output
 classes, we would get an error on the client side and on the worker side.

custom_decorator/README.md

@@ -6,11 +6,11 @@ decorator that automatically configures an activity to heartbeat twice as freque
 To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the
 worker:
 
-    uv run python worker.py
+    uv run worker.py
 
 This will start the worker. Then, in another terminal, run the following to execute the workflow:
 
-    uv run python starter.py
+    uv run starter.py
 
 The workflow will be started, and then after 5 seconds will be sent a signal to cancel its forever-running activity.
 The activity has a heartbeat timeout set to 2s, so since it has the `@auto_heartbeater` decorator set, it will heartbeat