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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

57 lines
2.0 KiB
Python
Executable File

# 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.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(
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;
3. Update the execution plan with the relevant worker agents using `update_execution_plan` tool.
4. 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 #3.
""",
sub_agents=[
execution_agent.plan_execution_agent,
],
tools=[update_execution_plan],
)