fix(toolset): 工具传递改为展开的 tools 列表,不再用 FunctionToolset 包装

前端/DB 仍用 toolset 做逻辑分组管理,但传给 pydantic-ai Agent 时
把 toolset 内的 callable 展开为 tools=[] 扁平列表,MCP server 等
需要 toolset 语义的单独走 toolsets=[] 参数。解决工具"存在但调不了"的问题。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-06-05 19:05:59 +00:00
parent 78d03388c0
commit b15eeb9e74
8 changed files with 76 additions and 67 deletions
+4 -2
View File
@@ -23,7 +23,7 @@ from fastapi import HTTPException
from typing import Optional, List, Dict from typing import Optional, List, Dict
from kilostar.utils.check_user.role_check import RoleChecker from kilostar.utils.check_user.role_check import RoleChecker
from kilostar.core.postgres_database.model import UserAuthority from kilostar.core.postgres_database.model import UserAuthority
from kilostar.utils.mcp_helper import get_all_toolsets_for_scope from kilostar.utils.mcp_helper import get_all_tools_and_toolsets_for_scope
from kilostar.utils.i18n import t from kilostar.utils.i18n import t
agent_router = APIRouter(prefix="/api/v1/agent", tags=["agent"]) agent_router = APIRouter(prefix="/api/v1/agent", tags=["agent"])
@@ -84,7 +84,7 @@ async def load_agent(
) )
scope = agent_register.individual_name scope = agent_register.individual_name
toolsets = await get_all_toolsets_for_scope( tools, toolsets = await get_all_tools_and_toolsets_for_scope(
scope, toolset_ids=agent_register.toolsets scope, toolset_ids=agent_register.toolsets
) )
@@ -102,6 +102,7 @@ async def load_agent(
global_state_machine, global_state_machine,
agent_register.provider_title, agent_register.provider_title,
agent_register.model_id, agent_register.model_id,
tools,
toolsets, toolsets,
accept_lang, accept_lang,
persona_prompt, persona_prompt,
@@ -112,6 +113,7 @@ async def load_agent(
global_state_machine, global_state_machine,
agent_register.provider_title, agent_register.provider_title,
agent_register.model_id, agent_register.model_id,
tools,
toolsets, toolsets,
accept_lang, accept_lang,
persona_prompt, persona_prompt,
@@ -142,31 +142,24 @@ def reset_local_cache() -> None:
# ─── 客户端 helper:从快照重建本地视图 ───────────────────────────── # ─── 客户端 helper:从快照重建本地视图 ─────────────────────────────
def build_toolsets_for_scope( def build_tools_for_scope(
snapshot: GSMSnapshot, snapshot: GSMSnapshot,
scope: str, scope: str,
toolset_ids: Optional[List[str]] = None, toolset_ids: Optional[List[str]] = None,
) -> List[Any]: ) -> List[Callable]:
"""在调用方进程里按 ``snapshot`` 现场组装 FunctionToolset 列表。 """从快照中按 toolset 配置展开为扁平的 tool callable 列表。
新模型下"系统工具集"也存在 ``custom_toolsets`` 里(``is_system=True``), 管理层面仍然用 toolset 做逻辑分组(前端展示、权限控制),
所以本函数只按 ``toolset_ids`` 在 ``custom_toolsets`` 中按需挑选并装配; 但传给 pydantic-ai Agent 时直接展开为 tools 列表,避免
所有工具函数(system + 第三方)都从 ``snapshot.all_funcs`` 统一查表 FunctionToolset 封装带来的兼容性问题
Args: Args:
snapshot: 当前 GSM 快照。 snapshot: 当前 GSM 快照。
scope: 调用方所属 scope(保留参数未来可按 scope 过滤系统 toolset scope: 调用方所属 scope(保留参数未来可按 scope 过滤可见性)。
的可见性,目前仅用于命名/日志) toolset_ids: agent 配置的 toolset 列表;为 None 表示返回全部
toolset_ids: agent 配置的 toolset 列表;为 None 表示返回全部 toolset
(兼容老调用,但建议传入显式列表)。
""" """
try: result: List[Callable] = []
from pydantic_ai.toolsets import FunctionToolset seen: set = set()
except ImportError:
_logger.warning("pydantic_ai.toolsets unavailable; cannot build toolsets")
return []
result: List[Any] = []
target_ids = ( target_ids = (
list(toolset_ids) list(toolset_ids)
if toolset_ids is not None if toolset_ids is not None
@@ -177,14 +170,12 @@ def build_toolsets_for_scope(
if not defn: if not defn:
continue continue
names = defn.get("tools") or [] names = defn.get("tools") or []
funcs = [snapshot.all_funcs[n] for n in names if n in snapshot.all_funcs] for name in names:
if not funcs: if name in seen:
continue continue
try: func = snapshot.all_funcs.get(name)
result.append( if func is not None:
FunctionToolset(tools=funcs, id=f"toolset::{toolset_id}") result.append(func)
) seen.add(name)
except Exception as e: # pragma: no cover - 防御
_logger.error(f"build toolset {toolset_id} failed: {e}")
return result return result
@@ -45,6 +45,7 @@ class ConsciousnessNode:
global_state_machine: GlobalStateMachine, global_state_machine: GlobalStateMachine,
provider_title: str, provider_title: str,
model_id: str, model_id: str,
tools=None,
toolsets=None, toolsets=None,
locale: str | None = None, locale: str | None = None,
custom_system_prompt: str | None = None, custom_system_prompt: str | None = None,
@@ -67,6 +68,7 @@ class ConsciousnessNode:
system_prompt=system_prompt, system_prompt=system_prompt,
deps_type=ConsciousnessNodeDeps, deps_type=ConsciousnessNodeDeps,
agent_name="consciousness_node", agent_name="consciousness_node",
tools=tools,
toolsets=toolsets, toolsets=toolsets,
) )
@@ -47,6 +47,7 @@ class RegulatoryNode:
global_state_machine: GlobalStateMachine, global_state_machine: GlobalStateMachine,
provider_title: str, provider_title: str,
model_id: str, model_id: str,
tools=None,
toolsets=None, toolsets=None,
locale: str | None = None, locale: str | None = None,
custom_system_prompt: str | None = None, custom_system_prompt: str | None = None,
@@ -59,7 +60,8 @@ class RegulatoryNode:
global_state_machine: 全局状态机 global_state_machine: 全局状态机
provider_title: 供应商名 provider_title: 供应商名
model_id: 模型id model_id: 模型id
toolsets: 已装配好的 FunctionToolset 列表 tools: 展开的 tool callable 列表
toolsets: MCP 等外部 toolset 列表
locale: 语言代码(zh/en),控制system prompt语言 locale: 语言代码(zh/en),控制system prompt语言
custom_system_prompt: 管理员自定义追加提示词(可选) custom_system_prompt: 管理员自定义追加提示词(可选)
Returns: Returns:
@@ -84,6 +86,7 @@ class RegulatoryNode:
system_prompt=system_prompt, system_prompt=system_prompt,
deps_type=RegulatoryNodeDeps, deps_type=RegulatoryNodeDeps,
agent_name="regulatory_node", agent_name="regulatory_node",
tools=tools,
toolsets=toolsets, toolsets=toolsets,
) )
+19 -11
View File
@@ -100,34 +100,42 @@ async def get_mcp_toolsets_from_gsm() -> List[Any]:
return [] return []
async def get_all_toolsets_for_scope( async def get_all_tools_and_toolsets_for_scope(
scope: str, toolset_ids: Optional[List[str]] = None scope: str, toolset_ids: Optional[List[str]] = None
) -> List[Any]: ) -> tuple:
"""汇总某个 scope 下的全部 toolsetsystem + personal + mcp """汇总某个 scope 下的工具:展开的 tool callable 列表 + MCP toolsets
Args: Args:
scope: 调用方所属 scope。 scope: 调用方所属 scope。
toolset_ids: agent 配置的 toolset 列表;为 None 或空列表表示返回全部。 toolset_ids: agent 配置的 toolset 列表;为 None 或空列表表示返回全部。
返回顺序保持稳定:先本地 toolset(按 toolset_ids),再 MCP toolset。 Returns:
任意一类拉取失败仅记录日志,不影响其他类。 (tools, toolsets) — tools 是展开的 callable 列表(传给 Agent(tools=...)),
toolsets 是 MCP server 等需要 toolset 语义的对象(传给 Agent(toolsets=...))。
""" """
tools: List[Any] = []
toolsets: List[Any] = [] toolsets: List[Any] = []
try: try:
from kilostar.core.global_state_machine.gsm_snapshot import ( from kilostar.core.global_state_machine.gsm_snapshot import (
build_toolsets_for_scope, build_tools_for_scope,
fetch_snapshot, fetch_snapshot,
) )
snapshot = await fetch_snapshot() snapshot = await fetch_snapshot()
effective_ids = toolset_ids if toolset_ids else None effective_ids = toolset_ids if toolset_ids else None
local = build_toolsets_for_scope(snapshot, scope, toolset_ids=effective_ids) tools = build_tools_for_scope(snapshot, scope, toolset_ids=effective_ids)
if local:
toolsets.extend(local)
except Exception as e: except Exception as e:
logger.error(f"Failed to load local toolsets from GSM ({scope}): {e}") logger.error(f"Failed to load tools from GSM ({scope}): {e}")
toolsets.extend(await get_mcp_toolsets_from_gsm()) toolsets = await get_mcp_toolsets_from_gsm()
return tools, toolsets
async def get_all_toolsets_for_scope(
scope: str, toolset_ids: Optional[List[str]] = None
) -> List[Any]:
"""兼容旧调用:返回 MCP toolsets 列表(不再包含 FunctionToolset)。"""
_, toolsets = await get_all_tools_and_toolsets_for_scope(scope, toolset_ids)
return toolsets return toolsets
@@ -64,7 +64,7 @@ class BaseIndividual:
system_prompt: 该 Agent 的基础系统提示词,会和 task_event 拼接成动态提示词。 system_prompt: 该 Agent 的基础系统提示词,会和 task_event 拼接成动态提示词。
toolsets: 显式传入的外部工具集;为 ``None`` 时会自动按配置拉取。 toolsets: 显式传入的外部工具集;为 ``None`` 时会自动按配置拉取。
""" """
from kilostar.utils.mcp_helper import get_all_toolsets_for_scope from kilostar.utils.mcp_helper import get_all_tools_and_toolsets_for_scope
from kilostar.core.global_state_machine.gsm_snapshot import fetch_snapshot from kilostar.core.global_state_machine.gsm_snapshot import fetch_snapshot
global_state_machine = ray_actor_hook( global_state_machine = ray_actor_hook(
@@ -84,9 +84,11 @@ class BaseIndividual:
agent_factory = AgentFactory() agent_factory = AgentFactory()
if toolsets is None: if toolsets is None:
toolsets = await get_all_toolsets_for_scope( tools, toolsets = await get_all_tools_and_toolsets_for_scope(
agent_name, toolset_ids=toolset_ids agent_name, toolset_ids=toolset_ids
) )
else:
tools = []
self.agent = agent_factory.create_agent( self.agent = agent_factory.create_agent(
provider=provider, provider=provider,
@@ -95,6 +97,7 @@ class BaseIndividual:
system_prompt=system_prompt, system_prompt=system_prompt,
deps_type=WorkerIndividualDeps, deps_type=WorkerIndividualDeps,
agent_name=agent_name, agent_name=agent_name,
tools=tools,
toolsets=toolsets, toolsets=toolsets,
) )
+11 -12
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@@ -308,13 +308,13 @@ async def test_fetch_snapshot_use_cache_false_skips_cache(monkeypatch):
assert result is fresh assert result is fresh
# ─── build_toolsets_for_scope 客户端 helper ──────────────────────── # ─── build_tools_for_scope 客户端 helper ────────────────────────
def test_build_toolsets_for_scope_assembles_system_and_custom(): def test_build_tools_for_scope_assembles_system_and_custom():
"""客户端按 snapshot 的 custom_toolsets + all_funcs 现场组装""" """客户端按 snapshot 的 custom_toolsets + all_funcs 展开为扁平 callable 列表"""
from kilostar.core.global_state_machine.gsm_snapshot import ( from kilostar.core.global_state_machine.gsm_snapshot import (
build_toolsets_for_scope, build_tools_for_scope,
) )
def _sys_default(): def _sys_default():
@@ -334,20 +334,19 @@ def test_build_toolsets_for_scope_assembles_system_and_custom():
}, },
) )
result = build_toolsets_for_scope(snap, "control_node") result = build_tools_for_scope(snap, "control_node")
assert len(result) == 2 assert len(result) == 3
ids = [getattr(t, "id", None) for t in result] assert result == [_sys_default, _sys_scope, _tp_a]
assert ids == ["toolset::system_basic", "toolset::grp"]
def test_build_toolsets_for_scope_skips_empty_buckets(): def test_build_tools_for_scope_skips_empty_buckets():
"""没有工具的 scope 不应产出 toolset,避免空 FunctionToolset 噪声""" """没有工具的 scope 返回空列表"""
from kilostar.core.global_state_machine.gsm_snapshot import ( from kilostar.core.global_state_machine.gsm_snapshot import (
build_toolsets_for_scope, build_tools_for_scope,
) )
snap = GSMSnapshot( snap = GSMSnapshot(
all_funcs={}, all_funcs={},
custom_toolsets={}, custom_toolsets={},
) )
assert build_toolsets_for_scope(snap, "control_node") == [] assert build_tools_for_scope(snap, "control_node") == []
+14 -13
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@@ -104,11 +104,11 @@ async def test_get_mcp_toolsets_from_gsm_uses_configs_via_snapshot(monkeypatch):
assert getattr(toolsets[0], "id", None) == "fs" assert getattr(toolsets[0], "id", None) == "fs"
# ─── get_all_toolsets_for_scope ────────────────────────────────────────────── # ─── get_all_tools_and_toolsets_for_scope ──────────────────────────────────────────────
async def test_get_all_toolsets_for_scope_merges_local_and_mcp(monkeypatch): async def test_get_all_tools_and_toolsets_for_scope_merges_local_and_mcp(monkeypatch):
"""本地 toolset 列表和 mcp toolset 列表都应该被拼接""" """本地 tools 列表和 mcp toolsets 列表都应该被正确返回"""
monkeypatch.setattr(mcp_helper, "_MCP_AVAILABLE", True) monkeypatch.setattr(mcp_helper, "_MCP_AVAILABLE", True)
@@ -126,25 +126,25 @@ async def test_get_all_toolsets_for_scope_merges_local_and_mcp(monkeypatch):
monkeypatch.setattr(snap_mod, "fetch_snapshot", _fake_fetch) monkeypatch.setattr(snap_mod, "fetch_snapshot", _fake_fetch)
monkeypatch.setattr( monkeypatch.setattr(
snap_mod, snap_mod,
"build_toolsets_for_scope", "build_tools_for_scope",
lambda s, scope, **kw: [local_a, local_b], lambda s, scope, **kw: [local_a, local_b],
) )
result = await mcp_helper.get_all_toolsets_for_scope("control_node") tools, toolsets = await mcp_helper.get_all_tools_and_toolsets_for_scope("control_node")
assert result == [local_a, local_b] assert tools == [local_a, local_b]
assert toolsets == []
async def test_get_all_toolsets_for_scope_local_failure_does_not_block_mcp( async def test_get_all_tools_and_toolsets_local_failure_does_not_block_mcp(
monkeypatch, monkeypatch,
): ):
"""本地 toolset 拉取失败时仍然要返回 mcp toolset。""" """本地 tools 拉取失败时仍然要返回 mcp toolsets"""
monkeypatch.setattr(mcp_helper, "_MCP_AVAILABLE", True) monkeypatch.setattr(mcp_helper, "_MCP_AVAILABLE", True)
from kilostar.core.global_state_machine import gsm_snapshot as snap_mod from kilostar.core.global_state_machine import gsm_snapshot as snap_mod
from kilostar.core.global_state_machine.gsm_snapshot import GSMSnapshot from kilostar.core.global_state_machine.gsm_snapshot import GSMSnapshot
# local 路径:fetch 成功但 build_toolsets_for_scope 抛错
snap = GSMSnapshot( snap = GSMSnapshot(
version=1, version=1,
mcp_servers={ mcp_servers={
@@ -164,11 +164,12 @@ async def test_get_all_toolsets_for_scope_local_failure_does_not_block_mcp(
raise RuntimeError("boom") raise RuntimeError("boom")
monkeypatch.setattr(snap_mod, "fetch_snapshot", _fake_fetch) monkeypatch.setattr(snap_mod, "fetch_snapshot", _fake_fetch)
monkeypatch.setattr(snap_mod, "build_toolsets_for_scope", _broken_build) monkeypatch.setattr(snap_mod, "build_tools_for_scope", _broken_build)
result = await mcp_helper.get_all_toolsets_for_scope("control_node") tools, toolsets = await mcp_helper.get_all_tools_and_toolsets_for_scope("control_node")
assert len(result) == 1 assert tools == []
assert getattr(result[0], "id", None) == "fs" assert len(toolsets) == 1
assert getattr(toolsets[0], "id", None) == "fs"
# ─── list_mcp_tools_for_configs ────────────────────────────────────────────── # ─── list_mcp_tools_for_configs ──────────────────────────────────────────────