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58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
"""Spawn tool for creating background subagents."""
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from contextvars import ContextVar
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from typing import TYPE_CHECKING, Any
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from nanobot.agent.tools.base import Tool, tool_parameters
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from nanobot.agent.tools.schema import StringSchema, tool_parameters_schema
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if TYPE_CHECKING:
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from nanobot.agent.subagent import SubagentManager
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@tool_parameters(
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tool_parameters_schema(
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task=StringSchema("The task for the subagent to complete"),
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label=StringSchema("Optional short label for the task (for display)"),
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required=["task"],
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)
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)
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class SpawnTool(Tool):
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"""Tool to spawn a subagent for background task execution."""
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def __init__(self, manager: "SubagentManager"):
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self._manager = manager
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self._origin_channel: ContextVar[str] = ContextVar("spawn_origin_channel", default="cli")
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self._origin_chat_id: ContextVar[str] = ContextVar("spawn_origin_chat_id", default="direct")
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self._session_key: ContextVar[str] = ContextVar("spawn_session_key", default="cli:direct")
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def set_context(self, channel: str, chat_id: str, effective_key: str | None = None) -> None:
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"""Set the origin context for subagent announcements."""
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self._origin_channel.set(channel)
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self._origin_chat_id.set(chat_id)
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self._session_key.set(effective_key or f"{channel}:{chat_id}")
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@property
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def name(self) -> str:
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return "spawn"
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@property
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def description(self) -> str:
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return (
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"Spawn a subagent to handle a task in the background. "
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"Use this for complex or time-consuming tasks that can run independently. "
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"The subagent will complete the task and report back when done. "
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"For deliverables or existing projects, inspect the workspace first "
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"and use a dedicated subdirectory when helpful."
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)
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async def execute(self, task: str, label: str | None = None, **kwargs: Any) -> str:
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"""Spawn a subagent to execute the given task."""
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return await self._manager.spawn(
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task=task,
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label=label,
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origin_channel=self._origin_channel.get(),
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origin_chat_id=self._origin_chat_id.get(),
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session_key=self._session_key.get(),
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)
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