wehub-resource-sync
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88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from google.adk import Agent
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from google.adk import Event
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from google.adk import Workflow
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from google.adk.tools.function_tool import FunctionTool
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from google.adk.workflow import DEFAULT_ROUTE
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from pydantic import BaseModel
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from pydantic import Field
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class PatientIdentity(BaseModel):
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"""Output schema for the intake agent."""
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name: str = Field(description="The patient's full name.")
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phone_number: str = Field(description="The patient's phone number.")
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intake_agent = Agent(
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name="intake_agent",
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mode="task",
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output_schema=PatientIdentity,
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instruction="""\
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You are a medical lab intake assistant. Your job is to chat with
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the user to get their full name and phone number. Do not make up
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information. Once you have both, finish your task.
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If identity check failed, ask for another name.
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""",
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)
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def check_identity(node_input: PatientIdentity):
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"""Mocks checking the database for the patient.
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Routes back to intake_agent if the name is not Jane Doe.
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"""
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if node_input.name.lower() != "jane doe":
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yield Event(
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message=(
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f"Could not find matching records for {node_input.name}. Let's"
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" try again."
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),
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route="retry",
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)
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else:
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yield Event(
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message=f"""Hello {node_input.name}! Let me look up your orders."""
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)
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def find_orders() -> list[str]:
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"""Finds orders for the patient."""
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return ["CBC (Complete Blood Count)", "Lipid Panel"]
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generate_instruction = Agent(
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name="generate_instruction",
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tools=[FunctionTool(find_orders, require_confirmation=True)],
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instruction="""
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Use the find_orders tool to get the patient's orders.
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List the orders found, and then generate a concise instruction about how to prepare based on those orders.
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""",
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)
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root_agent = Workflow(
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name="task_in_workflow",
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edges=[
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("START", intake_agent, check_identity),
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(
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check_identity,
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{"retry": intake_agent, DEFAULT_ROUTE: generate_instruction},
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),
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],
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)
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