nanobot/tests/tools/test_message_tool_suppress.py
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

180 lines
7.1 KiB
Python

"""Test message tool suppress logic for final replies."""
import asyncio
from pathlib import Path
from unittest.mock import AsyncMock, MagicMock
import pytest
from nanobot.agent.loop import AgentLoop
from nanobot.agent.tools.message import MessageTool
from nanobot.bus.events import InboundMessage, OutboundMessage
from nanobot.bus.queue import MessageBus
from nanobot.providers.base import LLMResponse, ToolCallRequest
def _make_loop(tmp_path: Path) -> AgentLoop:
bus = MessageBus()
provider = MagicMock()
provider.get_default_model.return_value = "test-model"
return AgentLoop(bus=bus, provider=provider, workspace=tmp_path, model="test-model")
class TestMessageToolSuppressLogic:
"""Final reply suppressed only when message tool sends to the same target."""
@pytest.mark.asyncio
async def test_suppress_when_sent_to_same_target(self, tmp_path: Path) -> None:
loop = _make_loop(tmp_path)
tool_call = ToolCallRequest(
id="call1", name="message",
arguments={"content": "Hello", "channel": "feishu", "chat_id": "chat123"},
)
calls = iter([
LLMResponse(content="", tool_calls=[tool_call]),
LLMResponse(content="Done", tool_calls=[]),
])
loop.provider.chat_with_retry = AsyncMock(side_effect=lambda *a, **kw: next(calls))
loop.tools.get_definitions = MagicMock(return_value=[])
sent: list[OutboundMessage] = []
mt = loop.tools.get("message")
if isinstance(mt, MessageTool):
mt.set_send_callback(AsyncMock(side_effect=lambda m: sent.append(m)))
msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Send")
result = await loop._process_message(msg)
assert len(sent) == 1
assert result is None # suppressed
@pytest.mark.asyncio
async def test_not_suppress_when_sent_to_different_target(self, tmp_path: Path) -> None:
loop = _make_loop(tmp_path)
tool_call = ToolCallRequest(
id="call1", name="message",
arguments={"content": "Email content", "channel": "email", "chat_id": "user@example.com"},
)
calls = iter([
LLMResponse(content="", tool_calls=[tool_call]),
LLMResponse(content="I've sent the email.", tool_calls=[]),
])
loop.provider.chat_with_retry = AsyncMock(side_effect=lambda *a, **kw: next(calls))
loop.tools.get_definitions = MagicMock(return_value=[])
sent: list[OutboundMessage] = []
mt = loop.tools.get("message")
if isinstance(mt, MessageTool):
mt.set_send_callback(AsyncMock(side_effect=lambda m: sent.append(m)))
msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Send email")
result = await loop._process_message(msg)
assert len(sent) == 1
assert sent[0].channel == "email"
assert result is not None # not suppressed
assert result.channel == "feishu"
@pytest.mark.asyncio
async def test_not_suppress_when_no_message_tool_used(self, tmp_path: Path) -> None:
loop = _make_loop(tmp_path)
loop.provider.chat_with_retry = AsyncMock(return_value=LLMResponse(content="Hello!", tool_calls=[]))
loop.tools.get_definitions = MagicMock(return_value=[])
msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Hi")
result = await loop._process_message(msg)
assert result is not None
assert "Hello" in result.content
@pytest.mark.asyncio
async def test_injected_followup_with_message_tool_does_not_emit_empty_fallback(
self, tmp_path: Path
) -> None:
loop = _make_loop(tmp_path)
tool_call = ToolCallRequest(
id="call1", name="message",
arguments={"content": "Tool reply", "channel": "feishu", "chat_id": "chat123"},
)
calls = iter([
LLMResponse(content="First answer", tool_calls=[]),
LLMResponse(content="", tool_calls=[tool_call]),
LLMResponse(content="", tool_calls=[]),
LLMResponse(content="", tool_calls=[]),
LLMResponse(content="", tool_calls=[]),
])
loop.provider.chat_with_retry = AsyncMock(side_effect=lambda *a, **kw: next(calls))
loop.tools.get_definitions = MagicMock(return_value=[])
sent: list[OutboundMessage] = []
mt = loop.tools.get("message")
if isinstance(mt, MessageTool):
mt.set_send_callback(AsyncMock(side_effect=lambda m: sent.append(m)))
pending_queue = asyncio.Queue()
await pending_queue.put(
InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="follow-up")
)
msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Start")
result = await loop._process_message(msg, pending_queue=pending_queue)
assert len(sent) == 1
assert sent[0].content == "Tool reply"
assert result is None
async def test_progress_hides_internal_reasoning(self, tmp_path: Path) -> None:
loop = _make_loop(tmp_path)
tool_call = ToolCallRequest(id="call1", name="read_file", arguments={"path": "foo.txt"})
calls = iter([
LLMResponse(
content="Visible<think>hidden</think>",
tool_calls=[tool_call],
reasoning_content="secret reasoning",
thinking_blocks=[{"signature": "sig", "thought": "secret thought"}],
),
LLMResponse(content="Done", tool_calls=[]),
])
loop.provider.chat_with_retry = AsyncMock(side_effect=lambda *a, **kw: next(calls))
loop.tools.get_definitions = MagicMock(return_value=[])
loop.tools.execute = AsyncMock(return_value="ok")
progress: list[tuple[str, bool]] = []
async def on_progress(content: str, *, tool_hint: bool = False) -> None:
progress.append((content, tool_hint))
final_content, _, _, _, _ = await loop._run_agent_loop([], on_progress=on_progress)
assert final_content == "Done"
assert progress == [
("Visible", False),
('read foo.txt', True),
]
class TestMessageToolTurnTracking:
def test_sent_in_turn_tracks_same_target(self) -> None:
tool = MessageTool()
from nanobot.agent.tools.context import RequestContext
tool.set_context(RequestContext(channel="feishu", chat_id="chat1"))
assert not tool._sent_in_turn
tool._sent_in_turn = True
assert tool._sent_in_turn
def test_start_turn_resets(self) -> None:
tool = MessageTool()
tool._sent_in_turn = True
tool.start_turn()
assert not tool._sent_in_turn
def test_schema_discourages_current_chat_replies(self) -> None:
tool = MessageTool()
assert "Do not use this for the normal reply in the current chat" in tool.description
assert "generate_image creates images in the current chat" in tool.description
assert (
"Do not use this for a normal reply in the current chat"
in tool.parameters["properties"]["content"]["description"]
)