chore: import upstream snapshot with attribution

contributing/samples/workflows/agent_in_workflow/agent.py

@@ -0,0 +1,87 @@
+# 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 google.adk.tools.function_tool import FunctionTool
+from google.adk.workflow import DEFAULT_ROUTE
+from pydantic import BaseModel
+from pydantic import Field
+
+
+class PatientIdentity(BaseModel):
+  """Output schema for the intake agent."""
+
+  name: str = Field(description="The patient's full name.")
+  phone_number: str = Field(description="The patient's phone number.")
+
+
+intake_agent = Agent(
+    name="intake_agent",
+    mode="task",
+    output_schema=PatientIdentity,
+    instruction="""\
+You are a medical lab intake assistant. Your job is to chat with
+the user to get their full name and phone number. Do not make up
+information. Once you have both, finish your task.
+If identity check failed, ask for another name.
+""",
+)
+
+
+def check_identity(node_input: PatientIdentity):
+  """Mocks checking the database for the patient.
+
+  Routes back to intake_agent if the name is not Jane Doe.
+  """
+  if node_input.name.lower() != "jane doe":
+    yield Event(
+        message=(
+            f"Could not find matching records for {node_input.name}. Let's"
+            " try again."
+        ),
+        route="retry",
+    )
+  else:
+    yield Event(
+        message=f"""Hello {node_input.name}! Let me look up your orders."""
+    )
+
+
+def find_orders() -> list[str]:
+  """Finds orders for the patient."""
+  return ["CBC (Complete Blood Count)", "Lipid Panel"]
+
+
+generate_instruction = Agent(
+    name="generate_instruction",
+    tools=[FunctionTool(find_orders, require_confirmation=True)],
+    instruction="""
+Use the find_orders tool to get the patient's orders.
+List the orders found, and then generate a concise instruction about how to prepare based on those orders.
+""",
+)
+
+
+root_agent = Workflow(
+    name="task_in_workflow",
+    edges=[
+        ("START", intake_agent, check_identity),
+        (
+            check_identity,
+            {"retry": intake_agent, DEFAULT_ROUTE: generate_instruction},
+        ),
+    ],
+)