chore: import upstream snapshot with attribution

python/samples/03-workflows/functional/basic_streaming_pipeline.py

@@ -0,0 +1,63 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Basic streaming pipeline using the functional workflow API.
+
+Stream workflow events in real time with run(stream=True).
+"""
+
+import asyncio
+
+from agent_framework import workflow
+
+
+# Plain async functions — no decorators needed for simple helpers.
+async def fetch_data(url: str) -> dict[str, str | int]:
+    """Simulate fetching data from a URL."""
+    return {"url": url, "content": f"Data from {url}", "status": 200}
+
+
+async def transform_data(data: dict[str, str | int]) -> str:
+    """Transform raw data into a summary string."""
+    return f"[{data['status']}] {data['content']}"
+
+
+async def validate_result(summary: str) -> bool:
+    """Validate the transformed result."""
+    return len(summary) > 0 and "[200]" in summary
+
+
+# @workflow enables .run(stream=True), which returns a ResponseStream
+# you can iterate over with `async for`. Without @workflow, you'd just
+# have a normal async function with no streaming capability.
+@workflow
+async def data_pipeline(url: str) -> str:
+    """A simple sequential data pipeline."""
+    raw = await fetch_data(url)
+    summary = await transform_data(raw)
+    is_valid = await validate_result(summary)
+
+    return f"{summary} (valid={is_valid})"
+
+
+async def main():
+    # run(stream=True) returns a ResponseStream that yields events as they
+    # are produced. The raw stream includes lifecycle events (started, status)
+    # alongside application events — filter by event.type to find what you need.
+    stream = data_pipeline.run("https://example.com/api/data", stream=True)
+    async for event in stream:
+        if event.type == "output":
+            print(f"Output: {event.data}")
+
+    # After iteration, get_final_response() returns the WorkflowRunResult
+    result = await stream.get_final_response()
+    print(f"Final state: {result.get_final_state()}")
+
+    """
+    Expected output:
+      Output: [200] Data from https://example.com/api/data (valid=True)
+      Final state: WorkflowRunState.IDLE
+    """
+
+
+if __name__ == "__main__":
+    asyncio.run(main())