977ca725f2
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64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
"""Spawn tool for creating background subagents."""
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from typing import TYPE_CHECKING, Any
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from nanobot.agent.tools.base import Tool
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if TYPE_CHECKING:
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from nanobot.agent.subagent import SubagentManager
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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 = "cli"
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self._origin_chat_id = "direct"
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self._session_key = "cli:direct"
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def set_context(self, channel: str, chat_id: str) -> None:
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"""Set the origin context for subagent announcements."""
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self._origin_channel = channel
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self._origin_chat_id = chat_id
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self._session_key = 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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)
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@property
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def parameters(self) -> dict[str, Any]:
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return {
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"type": "object",
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"properties": {
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"task": {
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"type": "string",
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"description": "The task for the subagent to complete",
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},
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"label": {
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"type": "string",
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"description": "Optional short label for the task (for display)",
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},
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},
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"required": ["task"],
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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,
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origin_chat_id=self._origin_chat_id,
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session_key=self._session_key,
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)
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