Files
2026-01-26 23:30:29 +08:00

52 lines
1.9 KiB
Python

from typing import Generic
from .agent import Agent
from .run_context import TContext
from .tool import FunctionTool
class HandoffTool(FunctionTool, Generic[TContext]):
"""Handoff tool for delegating tasks to another agent."""
def __init__(
self,
agent: Agent[TContext],
parameters: dict | None = None,
tool_description: str | None = None,
**kwargs,
):
self.agent = agent
# Avoid passing duplicate `description` to the FunctionTool dataclass.
# Some call sites (e.g. SubAgentOrchestrator) pass `description` via kwargs
# to override what the main agent sees, while we also compute a default
# description here.
# `tool_description` is the public description shown to the main LLM.
# Keep a separate kwarg to avoid conflicting with FunctionTool's `description`.
description = tool_description or self.default_description(agent.name)
super().__init__(
name=f"transfer_to_{agent.name}",
parameters=parameters or self.default_parameters(),
description=description,
**kwargs,
)
# Optional provider override for this subagent. When set, the handoff
# execution will use this chat provider id instead of the global/default.
self.provider_id: str | None = None
def default_parameters(self) -> dict:
return {
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input to be handed off to another agent. This should be a clear and concise request or task.",
},
},
}
def default_description(self, agent_name: str | None) -> str:
agent_name = agent_name or "another"
return f"Delegate tasks to {self.name} agent to handle the request."