Files
google--adk-python/contributing/workflow_samples/request_input_rerun/agent.py
T
Wei (Jack) Sun 1c64a41b53 feat: ADK 2.0 alpha
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
2026-03-17 23:24:58 -07:00

82 lines
2.3 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 Context
from google.adk import Event
from google.adk import Workflow
from google.adk.events import RequestInput
from google.adk.workflow import node
def process_input(node_input: str):
"""Takes the initial customer complaint as input and sets it in the state."""
yield Event(state={"complaint": node_input, "feedback": ""})
draft_email = Agent(
name="draft_email",
instruction="""
Please write a polite, helpful response email to the following customer complaint: "{complaint}"
If there is any feedback from the manager to revise the draft, please incorporate it: "{feedback?}"
""",
output_key="draft",
)
@node(rerun_on_resume=True)
def human_review(draft: str, ctx: Context):
resume_input = ctx.resume_inputs.get("human_review")
if not resume_input:
yield RequestInput(
interrupt_id="human_review",
message=(
"Please review the following draft email and provide 'approve',"
f" 'reject', or feedback to revise.\n\n---\n{draft}\n---"
),
)
return
if resume_input == "reject":
yield Event(route="rejected")
elif resume_input == "approve":
yield Event(route="approved")
else:
yield Event(state={"feedback": resume_input}, route="revise")
def reject_email():
yield Event(message="Draft rejected.")
def send_email(draft: str):
yield Event(message="Draft approved and sent successfully.")
root_agent = Workflow(
name="request_input_rerun",
edges=[
("START", process_input, draft_email, human_review),
(
human_review,
{
"revise": draft_email,
"approved": send_email,
"rejected": reject_email,
},
),
],
)