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100 lines
3.8 KiB
Python
100 lines
3.8 KiB
Python
"""Spawn tool for creating background subagents."""
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from __future__ import annotations
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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.context import ContextAware, RequestContext
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from nanobot.agent.tools.schema import NumberSchema, StringSchema, tool_parameters_schema
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from nanobot.security.workspace_access import current_workspace_scope
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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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temperature=NumberSchema(
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description=(
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"Optional sampling temperature for the subagent "
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"(0.0 = deterministic, higher = more creative). "
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"Defaults to the provider's configured temperature."
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),
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minimum=0.0,
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maximum=2.0,
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),
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required=["task"],
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)
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)
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class SpawnTool(Tool, ContextAware):
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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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self._origin_message_id: ContextVar[str | None] = ContextVar(
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"spawn_origin_message_id",
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default=None,
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)
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@classmethod
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def create(cls, ctx: Any) -> Tool:
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return cls(manager=ctx.subagent_manager)
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def set_context(self, ctx: RequestContext) -> None:
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"""Set the origin context for subagent announcements."""
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self._origin_channel.set(ctx.channel)
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self._origin_chat_id.set(ctx.chat_id)
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self._session_key.set(ctx.session_key or f"{ctx.channel}:{ctx.chat_id}")
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self._origin_message_id.set(ctx.message_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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"For MapReduce-style work, spawn only independent map slices with clear "
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"boundaries; keep reduction, conflict resolution, and final user-facing "
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"synthesis in the main agent. "
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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(
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self,
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task: str,
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label: str | None = None,
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temperature: float | None = None,
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**kwargs: Any,
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) -> str:
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"""Spawn a subagent to execute the given task."""
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running = self._manager.get_running_count()
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limit = self._manager.max_concurrent_subagents
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if running >= limit:
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return (
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f"Cannot spawn subagent: concurrency limit reached "
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f"({running}/{limit} running). Wait for a running subagent "
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f"to complete before spawning a new one."
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)
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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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origin_message_id=self._origin_message_id.get(),
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temperature=temperature,
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workspace_scope=current_workspace_scope(),
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)
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