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81 lines
2.0 KiB
Python
81 lines
2.0 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 typing import Literal
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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 pydantic import BaseModel
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from pydantic import Field
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class Feedback(BaseModel):
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grade: Literal["tech-related", "unrelated"] = Field(
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description=(
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"Decide if the headline is related to technology or software"
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" engineering."
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),
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)
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feedback: str = Field(
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description=(
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"If the headline is unrelated to technology, provide feedback on how"
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" to make it more tech-focused."
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),
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)
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def process_input(node_input: str):
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"""Puts user input in the state."""
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return Event(state={"topic": node_input})
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generate_headline = Agent(
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name="generate_headline",
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instruction="""
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Write a headline about the topic "{topic}".
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If feedback is provided, take it into account.
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The feedback: {feedback?}
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""",
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)
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evaluate_headline = Agent(
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name="evaluate_headline",
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instruction="""
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Grade whether the headline is related to technology or software engineering.
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""",
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output_schema=Feedback,
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output_key="feedback",
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)
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def route_headline(node_input: Feedback):
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return Event(route=node_input.grade)
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root_agent = Workflow(
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name="root_agent",
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edges=[
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(
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"START",
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process_input,
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generate_headline,
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evaluate_headline,
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route_headline,
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),
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(route_headline, {"unrelated": generate_headline}),
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],
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)
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