chengyongru 043f0e67f7 feat(tools): introduce plugin-based tool discovery and runtime context protocol
This commit implements a progressive refactoring of the tool system to support
plugin discovery, scoped loading, and protocol-driven runtime context injection.

Key changes:
- Add Tool ABC metadata (tool_name, _scopes) and ToolContext dataclass for
dependency injection.
- Introduce ToolLoader with pkgutil-based builtin discovery and
entry_points-based third-party plugin loading.
- Add scope filtering (core/subagent/memory) so different contexts load
appropriate tool sets.
- Introduce ContextAware protocol and RequestContext dataclass to replace
hardcoded per-tool context injection in AgentLoop.
- Add RuntimeState / MutableRuntimeState protocols to decouple MyTool from
AgentLoop.
- Migrate all built-in tools to declare scopes and implement create()/enabled()
hooks.
- Migrate MessageTool, SpawnTool, CronTool, and MyTool to ContextAware.
- Refactor AgentLoop to use ToolLoader and protocol-driven context injection.
- Refactor SubagentManager to use ToolLoader(scope="subagent") with per-run
FileStates isolation.
- Register all built-in tools via pyproject.toml entry_points.
- Add comprehensive tests for loader scopes, entry_points, ContextAware,
subagent tools, and runtime state sync.
2026-05-12 11:28:20 +08:00

79 lines
3.0 KiB
Python

"""Spawn tool for creating background subagents."""
from __future__ import annotations
from contextvars import ContextVar
from typing import TYPE_CHECKING, Any
from nanobot.agent.tools.base import Tool, tool_parameters
from nanobot.agent.tools.context import ContextAware, RequestContext
from nanobot.agent.tools.schema import StringSchema, tool_parameters_schema
if TYPE_CHECKING:
from nanobot.agent.subagent import SubagentManager
@tool_parameters(
tool_parameters_schema(
task=StringSchema("The task for the subagent to complete"),
label=StringSchema("Optional short label for the task (for display)"),
required=["task"],
)
)
class SpawnTool(Tool, ContextAware):
"""Tool to spawn a subagent for background task execution."""
def __init__(self, manager: "SubagentManager"):
self._manager = manager
self._origin_channel: ContextVar[str] = ContextVar("spawn_origin_channel", default="cli")
self._origin_chat_id: ContextVar[str] = ContextVar("spawn_origin_chat_id", default="direct")
self._session_key: ContextVar[str] = ContextVar("spawn_session_key", default="cli:direct")
self._origin_message_id: ContextVar[str | None] = ContextVar(
"spawn_origin_message_id",
default=None,
)
@classmethod
def create(cls, ctx: Any) -> Tool:
return cls(manager=ctx.subagent_manager)
def set_context(self, ctx: RequestContext) -> None:
"""Set the origin context for subagent announcements."""
self._origin_channel.set(ctx.channel)
self._origin_chat_id.set(ctx.chat_id)
self._session_key.set(ctx.session_key or f"{ctx.channel}:{ctx.chat_id}")
self._origin_message_id.set(ctx.message_id)
@property
def name(self) -> str:
return "spawn"
@property
def description(self) -> str:
return (
"Spawn a subagent to handle a task in the background. "
"Use this for complex or time-consuming tasks that can run independently. "
"The subagent will complete the task and report back when done. "
"For deliverables or existing projects, inspect the workspace first "
"and use a dedicated subdirectory when helpful."
)
async def execute(self, task: str, label: str | None = None, **kwargs: Any) -> str:
"""Spawn a subagent to execute the given task."""
running = self._manager.get_running_count()
limit = self._manager.max_concurrent_subagents
if running >= limit:
return (
f"Cannot spawn subagent: concurrency limit reached "
f"({running}/{limit} running). Wait for a running subagent "
f"to complete before spawning a new one."
)
return await self._manager.spawn(
task=task,
label=label,
origin_channel=self._origin_channel.get(),
origin_chat_id=self._origin_chat_id.get(),
session_key=self._session_key.get(),
origin_message_id=self._origin_message_id.get(),
)