Shangjie Chen
9d306f5d32
- Decouple task-mode node execution from default output binding so standard text output does not prematurely finish the node. - Enhance the runner to automatically resolve and reuse the invocation_id of active suspended task nodes. - Route incoming plain text resume messages to the active task node by mapping to its isolation scope. - Enforce strict concurrency serialization by suspending parallel branch execution when a task node is waiting for user input. - Align schema validation helpers to cleanly handle Content wrapping and raw JSON strings. Co-authored-by: Shangjie Chen <deanchen@google.com> PiperOrigin-RevId: 945423735
88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
# 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},
|
|
),
|
|
],
|
|
)
|