Wei (Jack) Sun
1c64a41b53
Introduces two major capabilities: - Workflow runtime: graph-based execution engine for composing deterministic execution flows for agentic apps, with support for routing, fan-out/fan-in, loops, retry, state management, dynamic nodes, human-in-the-loop, and nested workflows - Task API: structured agent-to-agent delegation with multi-turn task mode, single-turn controlled output, mixed delegation patterns, human-in-the-loop, and task agents as workflow nodes Co-Authored-By: Bo Yang <ybo@google.com> Co-Authored-By: George Weale <gweale@google.com> Co-Authored-By: Sean Zhou <seanzhougoogle@google.com> Co-Authored-By: Shangjie Chen <deanchen@google.com> Co-Authored-By: Swapnil Agarwal <swapnilag@google.com> Co-Authored-By: Wei Sun <weisun@google.com> Co-Authored-By: Xuan Yang <xygoogle@google.com> Co-Authored-By: Yifan Wang <wanyif@google.com> Change-Id: I35932c50cfe29ff68559e3781713dbb5eb7b3382
98 lines
2.6 KiB
Python
98 lines
2.6 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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# NOT WORKING YET
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import re
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from google.adk import Agent
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from google.adk import Context
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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.workflow import JoinNode
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def process_input(node_input: str):
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"""Validates the input is a valid 4-digit year."""
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match = re.search(r"\b\d{4}\b", node_input)
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if not match:
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yield Event(message="Please provide a valid 4-digit year (e.g., 1955).")
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raise ValueError("Invalid year format.")
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yield match.group(0)
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find_name = Agent(
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name="find_name",
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instruction="""
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Find the name of one famous person who was born in the specified year.
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Return ONLY their name, nothing else.
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""",
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)
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generate_bio = Agent(
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name="generate_bio",
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instruction="""
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Write a short, engaging 3-sentence biography for the specified person.
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""",
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)
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# Sub-workflow that acts as a single node in the parent workflow
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find_famous_person = Workflow(
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name="find_famous_person",
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edges=[("START", find_name, generate_bio)],
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)
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find_historical_event = Agent(
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name="find_historical_event",
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instruction="""
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Describe one highly significant historical event that occurred in the specified year.
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Keep the description to 2 sentences.
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""",
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)
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join_for_aggregation = JoinNode(name="join_for_aggregation")
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def aggregate_results(node_input: dict[str, str]):
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"""Combines the outputs from the parallel branches found in the context state."""
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# Context state contains the outputs because we used 'output_key' on the agents.
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person_bio = node_input.get("find_famous_person", "Bio not found")
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historical_event = node_input.get("find_historical_event", "Event not found")
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combined_message = (
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"--- Famous Person Bio ---\n\n"
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f"{person_bio}\n\n"
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"--- Historical Event ---\n\n"
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f"{historical_event}"
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)
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yield Event(message=combined_message)
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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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(find_famous_person, find_historical_event),
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join_for_aggregation,
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aggregate_results,
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),
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],
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)
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