You've already forked adk-python
mirror of
https://github.com/encounter/adk-python.git
synced 2026-03-30 10:57:20 -07:00
Wei Sun (Jack)
e295feb4c6
Demonstrates intelligent triage system with root planning agent and parallel execution agents. Use session state to store the execution plan and coordinate with other specialized agents. Check out README.md for more details. PiperOrigin-RevId: 793884758
58 lines
2.1 KiB
Python
Executable File
58 lines
2.1 KiB
Python
Executable File
# Copyright 2025 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.agents.llm_agent import Agent
|
|
from google.adk.tools.tool_context import ToolContext
|
|
|
|
from . import execution_agent
|
|
|
|
|
|
def update_execution_plan(
|
|
execution_agents: list[str], tool_context: ToolContext
|
|
) -> str:
|
|
"""Updates the execution plan for the agents to run."""
|
|
|
|
tool_context.state["execution_agents"] = execution_agents
|
|
return "execution_agents updated."
|
|
|
|
|
|
root_agent = Agent(
|
|
model="gemini-2.5-flash",
|
|
name="execution_manager_agent",
|
|
instruction="""\
|
|
You are the Execution Manager Agent, responsible for setting up execution plan and delegate to plan_execution_agent for the actual plan execution.
|
|
|
|
You ONLY have the following worker agents: `code_agent`, `math_agent`.
|
|
|
|
You should do the following:
|
|
|
|
1. Analyze the user input and decide any worker agents that are relevant;
|
|
2. If none of the worker agents are relevant, you should explain to user that no relevant agents are available and ask for something else;
|
|
2. Update the execution plan with the relevant worker agents using `update_execution_plan` tool.
|
|
3. Transfer control to the plan_execution_agent for the actual plan execution.
|
|
|
|
When calling the `update_execution_plan` tool, you should pass the list of worker agents that are relevant to user's input.
|
|
|
|
NOTE:
|
|
|
|
* If you are not clear about user's intent, you should ask for clarification first;
|
|
* Only after you're clear about user's intent, you can proceed to step #2.
|
|
""",
|
|
sub_agents=[
|
|
execution_agent.plan_execution_agent,
|
|
],
|
|
tools=[update_execution_plan],
|
|
)
|