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Follow-up to #3342 (deferred MCP tool loading). Maintainability cleanup plus hardening of malformed/empty tool_search queries; no change to the deferral mechanism or search ranking. - Add deerflow/tools/mcp_metadata.py as the single source of truth for the "deerflow_mcp" tag (MCP_TOOL_METADATA_KEY + tag_mcp_tool + public is_mcp_tool). Removes the duplicated magic string and the private, cross-module _is_mcp_tool import. - tool_search.search: never raise on model-generated input. Extract _compile_catalog_regex (shared compile-with-literal-fallback); return empty for empty/whitespace queries and a bare "+" instead of matching everything or raising IndexError. - DeferredToolSetup: document the empty-vs-populated invariant. - build_deferred_tool_setup: comment the two distinct empty-return branches. - _assemble_deferred: add return type, rename local to deferred_setup, build the final list with an explicit append. - Tests: use tag_mcp_tool instead of per-file tag helpers; cover empty and bare-"+" queries.
180 lines
7.0 KiB
Python
180 lines
7.0 KiB
Python
"""Regressions for the deferred-tool redesign (#3272).
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- Cross-context: building the graph in one async context and running it in a
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sibling context (that did NOT inherit the build context) must still hide
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deferred tools. The old ContextVar implementation failed this; the closure +
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graph-state implementation must pass.
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- Policy leak (Finding 1): a tool removed by policy must not be searchable.
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- Fail-closed (Finding 2): a wiring regression must raise, not silently leak.
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- #2884 isolation: a second (subagent-style) setup build must not affect the
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lead agent's middleware/promotion.
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"""
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import asyncio
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from pathlib import Path
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import pytest
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from langchain.agents import create_agent
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from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
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from langchain_core.messages import AIMessage, HumanMessage
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from langchain_core.tools import tool as as_tool
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from deerflow.agents.middlewares.deferred_tool_filter_middleware import DeferredToolFilterMiddleware
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from deerflow.skills.tool_policy import filter_tools_by_skill_allowed_tools
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from deerflow.skills.types import Skill
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from deerflow.tools.builtins.tool_search import DeferredToolSetup, build_deferred_tool_setup
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from deerflow.tools.mcp_metadata import tag_mcp_tool
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@as_tool
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def active_tool(x: str) -> str:
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"active"
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return x
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@as_tool
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def mcp_secret(x: str) -> str:
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"deferred mcp tool — must be hidden from bind_tools until promoted"
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return x
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_BOUND: list[list[str]] = []
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class _RecordingModel(GenericFakeChatModel):
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def bind_tools(self, tools, **kwargs):
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_BOUND.append([getattr(t, "name", None) for t in tools])
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return self
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def _build_graph():
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filtered = [active_tool, tag_mcp_tool(mcp_secret)]
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setup = build_deferred_tool_setup(filtered, enabled=True)
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final = [*filtered, setup.tool_search_tool]
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model = _RecordingModel(messages=iter([AIMessage(content="done")] * 4))
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return create_agent(
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model=model,
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tools=final,
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middleware=[DeferredToolFilterMiddleware(setup.deferred_names, setup.catalog_hash)],
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system_prompt="t",
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)
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async def _abuild():
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return _build_graph()
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def test_deferred_hidden_when_built_and_run_in_different_contexts():
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"""Build in one task, run in a sibling task that did not inherit it."""
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_BOUND.clear()
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async def main():
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graph = await asyncio.create_task(_abuild())
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async def run():
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await graph.ainvoke({"messages": [HumanMessage(content="hi")]})
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await asyncio.create_task(run())
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asyncio.run(main())
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assert _BOUND, "model was never bound"
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assert not any("mcp_secret" in names for names in _BOUND), f"deferred MCP tool leaked into bind_tools: {_BOUND}"
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def test_policy_excluded_mcp_tool_not_in_catalog():
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"""Finding 1: a tool removed by policy is not searchable/exposed."""
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filtered_after_policy = [active_tool] # mcp_secret denied by skill allowed-tools
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setup = build_deferred_tool_setup(filtered_after_policy, enabled=True)
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assert setup.deferred_names == frozenset()
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assert setup.tool_search_tool is None
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def test_fail_closed_when_mcp_survives_without_setup(monkeypatch):
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"""Finding 2: simulate a wiring regression and assert it fails loudly.
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``_assemble_deferred`` lazy-imports ``build_deferred_tool_setup`` from the
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source module, so patch it there (not on the agent module).
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"""
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from deerflow.agents.lead_agent import agent as agentmod
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monkeypatch.setattr(
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"deerflow.tools.builtins.tool_search.build_deferred_tool_setup",
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lambda tools, *, enabled: DeferredToolSetup(None, frozenset(), None),
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)
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with pytest.raises(RuntimeError, match="fail-closed"):
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agentmod._assemble_deferred([tag_mcp_tool(mcp_secret)], enabled=True)
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def test_subagent_reentry_does_not_touch_lead_state():
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"""#2884: building a second (subagent) setup must not affect the lead's
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middleware. With no shared registry/ContextVar, the lead middleware depends
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only on its own deferred_names + the passed state."""
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lead_setup = build_deferred_tool_setup([active_tool, tag_mcp_tool(mcp_secret)], enabled=True)
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mw = DeferredToolFilterMiddleware(lead_setup.deferred_names, lead_setup.catalog_hash)
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# Simulate a subagent build re-entering tool assembly with its own setup.
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_ = build_deferred_tool_setup([tag_mcp_tool(mcp_secret)], enabled=True)
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class _Req:
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def __init__(self):
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self.tools = [active_tool, mcp_secret]
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self.state = {"promoted": {"catalog_hash": lead_setup.catalog_hash, "names": ["mcp_secret"]}}
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def override(self, tools):
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self.tools = tools
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return self
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out = mw._filter_tools(_Req())
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assert {t.name for t in out.tools} == {"active_tool", "mcp_secret"} # promotion intact
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def _make_skill(allowed_tools):
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"""Skill carrying an explicit allowed-tools allowlist (None = legacy allow-all)."""
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return Skill(
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name="s",
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description="d",
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license="MIT",
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skill_dir=Path("/tmp/s"),
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skill_file=Path("/tmp/s/SKILL.md"),
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relative_path=Path("s"),
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category="public",
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allowed_tools=allowed_tools,
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enabled=True,
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)
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def test_policy_denied_mcp_yields_no_tool_search_end_to_end():
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"""An allowlist that denies the MCP tool gates it end-to-end: after the real
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policy filter no MCP tool survives, so ``_assemble_deferred`` adds no
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tool_search (and does not fail-closed, because no MCP tool leaked through)."""
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from deerflow.agents.lead_agent import agent as agentmod
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filtered = filter_tools_by_skill_allowed_tools([active_tool, tag_mcp_tool(mcp_secret)], [_make_skill(["active_tool"])])
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final_tools, setup = agentmod._assemble_deferred(filtered, enabled=True)
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assert [t.name for t in final_tools] == ["active_tool"]
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assert "tool_search" not in {t.name for t in final_tools}
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assert setup.deferred_names == frozenset()
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def test_tool_search_appended_after_policy_but_never_exposes_denied_tool():
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"""Intentional behavior change vs. upstream (Copilot review on PR #3342).
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``tool_search`` is appended AFTER skill-allowlist filtering, so an allowlist
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can no longer deny ``tool_search`` by name. This is safe by construction: the
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tool only appears when allowed MCP tools survive the filter, and its catalog
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is derived from the already policy-filtered list — so it can never expose a
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tool the allowlist denied. Locks that contract so the ordering cannot regress.
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"""
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from deerflow.agents.lead_agent import agent as agentmod
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allowed = ["active_tool", "mcp_secret"] # permits the MCP tool, does NOT list tool_search
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filtered = filter_tools_by_skill_allowed_tools([active_tool, tag_mcp_tool(mcp_secret)], [_make_skill(allowed)])
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final_tools, setup = agentmod._assemble_deferred(filtered, enabled=True)
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names = {t.name for t in final_tools}
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assert "tool_search" in names # appended despite not being in the allowlist
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assert setup.deferred_names == frozenset({"mcp_secret"})
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assert set(setup.deferred_names) <= set(allowed) # catalog never exceeds the allowlist
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