chore: import upstream snapshot with attribution

python/samples/04-hosting/durabletask/01_single_agent/sample.py

@@ -0,0 +1,51 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Single Agent Sample - Durable Task Integration (Combined Worker + Client)
+This sample demonstrates running both the worker and client in a single process.
+The worker is started first to register the agent, then client operations are
+performed against the running worker.
+Prerequisites:
+- Set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
+- Sign in with Azure CLI for AzureCliCredential authentication
+- Durable Task Scheduler must be running (e.g., using Docker)
+To run this sample:
+    python sample.py
+"""
+
+import logging
+
+# Import helper functions from worker and client modules
+from client import get_client, run_client  # pyrefly: ignore[missing-import]
+from dotenv import load_dotenv
+from worker import get_worker, setup_worker  # pyrefly: ignore[missing-import]
+
+# Configure logging (must be after imports to override their basicConfig)
+logging.basicConfig(level=logging.INFO, force=True)
+logger = logging.getLogger(__name__)
+
+
+def main():
+    """Main entry point - runs both worker and client in single process."""
+    logger.debug("Starting Durable Task Agent Sample (Combined Worker + Client)...")
+    silent_handler = logging.NullHandler()
+    # Create and start the worker using helper function and context manager
+    dts_worker = get_worker(log_handler=silent_handler)
+    with dts_worker:
+        # Register agents using helper function
+        setup_worker(dts_worker)
+        # Start the worker
+        dts_worker.start()
+        logger.debug("Worker started and listening for requests...")
+        # Create the client using helper function
+        agent_client = get_client(log_handler=silent_handler)
+        try:
+            # Run client interactions using helper function
+            run_client(agent_client)
+        except Exception as e:
+            logger.exception(f"Error during agent interaction: {e}")
+        logger.debug("Sample completed. Worker shutting down...")
+
+
+if __name__ == "__main__":
+    load_dotenv()
+    main()