chore: import upstream snapshot with attribution

contributing/samples/workflows/node_output/agent.py

@@ -0,0 +1,70 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from google.adk import Agent
+from google.adk import Event
+from google.adk import Workflow
+from pydantic import BaseModel
+from pydantic import Field
+
+
+class TopicDetails(BaseModel):
+  title: str = Field(description="The title of the generated topic.")
+  description: str = Field(description="A short description of the topic.")
+  category: str = Field(description="The broad category of the topic.")
+
+
+def generate_string_output(node_input: str):
+  """Returns a simple string. Framework automatically wraps it in an Event."""
+  return f"Processed input: {node_input}"
+
+
+def generate_event_output(node_input: str):
+  """Explicitly returns an Event object for more control."""
+  return Event(output=f"Event wrapped output: {node_input}")
+
+
+generate_pydantic_output = Agent(
+    name="generate_pydantic_output",
+    instruction="Generate a creative topic based on the following input.",
+    output_schema=TopicDetails,
+)
+
+
+def consume_pydantic_output(node_input: TopicDetails):
+  """
+  Relying on the FunctionNode's automatic type parsing.
+  The framework will coerce the dictionary or JSON into a TopicDetails
+  object automatically.
+  """
+  return (
+      "Received Pydantic Model!\n"
+      f"Title: {node_input.title}\n"
+      f"Description: {node_input.description}\n"
+      f"Category: {node_input.category}"
+  )
+
+
+root_agent = Workflow(
+    name="root_agent",
+    edges=[
+        (
+            "START",
+            generate_string_output,
+            generate_event_output,
+            generate_pydantic_output,
+            consume_pydantic_output,
+        ),
+    ],
+)