This is a collection of samples showing how to use the Python SDK.
Prerequisites:
The SDK requires Python >= 3.10. You can install Python using uv. For example,
uv python install 3.13
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 under uv. For example:
uv run hello/hello_activity.py
Some examples require extra dependencies. See each sample's directory for specific instructions.
- hello - All of the basic features.
- hello_activity - Execute an activity from a workflow.
- hello_activity_choice - Execute certain activities inside a workflow based on dynamic input.
- hello_activity_method - Demonstrate an activity that is an instance method on a class and can access class state.
- hello_activity_multiprocess - Execute a synchronous activity on a process pool.
- hello_activity_retry - Demonstrate activity retry by failing until a certain number of attempts.
- hello_activity_threaded - Execute a synchronous activity on a thread pool.
- hello_async_activity_completion - Complete an activity outside of the function that was called.
- hello_cancellation - Manually react to cancellation inside workflows and activities.
- hello_change_log_level - Change the level of workflow task failure from WARN to ERROR.
- hello_child_workflow - Execute a child workflow from a workflow.
- hello_continue_as_new - Use continue as new to restart a workflow.
- hello_cron - Execute a workflow once a minute.
- hello_exception - Execute an activity that raises an error out of the workflow and out of the program.
- hello_local_activity - Execute a local activity from a workflow.
- hello_mtls - Accept URL, namespace, and certificate info as CLI args and use mTLS for connecting to server.
- hello_parallel_activity - Execute multiple activities at once.
- hello_query - Invoke queries on a workflow.
- hello_search_attributes - Start workflow with search attributes then change while running.
- hello_signal - Send signals to a workflow.
- hello standalone activity - Execute an activity from outside of a workflow.
- hello update - Send a request to and a response from a client to a workflow execution.
- activity_worker - Use Python activities from a workflow in another language.
- batch_sliding_window - Batch processing with a sliding window of child workflows.
- bedrock - Orchestrate a chatbot with Amazon Bedrock.
- cloud_export_to_parquet - Set up schedule workflow to process exported files on an hourly basis
- context_propagation - Context propagation through workflows/activities via interceptor.
- custom_converter - Use a custom payload converter to handle custom types.
- custom_decorator - Custom decorator to auto-heartbeat a long-running activity.
- custom_metric - Custom metric to record the workflow type in the activity schedule to start latency.
- dsl - DSL workflow that executes steps defined in a YAML file.
- eager_wf_start - Run a workflow using Eager Workflow Start
- encryption - Apply end-to-end encryption for all input/output.
- env_config - Load client configuration from TOML files with programmatic overrides.
- gevent_async - Combine gevent and Temporal.
- langchain - Orchestrate workflows for LangChain.
- message_passing/introduction - Introduction to queries, signals, and updates.
- message_passing/safe_message_handlers - Safely handling updates and signals.
- message_passing/update_with_start/lazy_initialization - Use update-with-start to update a Shopping Cart, starting it if it does not exist.
- open_telemetry - Trace workflows with OpenTelemetry.
- patching - Alter workflows safely with
patchanddeprecate_patch. - polling - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion.
- prometheus - Configure Prometheus metrics on clients/workers.
- pydantic_converter - Data converter for using Pydantic models.
- schedules - Demonstrates a Workflow Execution that occurs according to a schedule.
- sentry - Report errors to Sentry.
- trio_async - Use asyncio Temporal in Trio-based environments.
- updatable_timer - A timer that can be updated while sleeping.
- worker_specific_task_queues - Use unique task queues to ensure activities run on specific workers.
- worker_versioning - Use the Worker Versioning feature to more easily version your workflows & other code.
- worker_multiprocessing - Leverage Python multiprocessing to parallelize workflow tasks and other CPU bound operations by running multiple workers.
To run the tests:
uv run poe test