refactor(agent): unify tools behind API gateway and provider skills

This commit is contained in:
jxxghp
2026-08-31 16:57:46 +08:00
parent fe688aee9c
commit fdba2c7d64
204 changed files with 8282 additions and 24158 deletions

View File

@@ -10,7 +10,6 @@ from langchain_core.messages import AIMessage, HumanMessage
from app.agent.contracts import ReplyMode
from app.agent.mcp import AgentMcpToolSpec
from app.agent.middleware.policy import AgentPolicyMiddleware
from app.agent.orchestrator import MoviePilotAgent, _CompiledAgentBundle
from app.agent.tools.catalog import (
ToolCatalogSnapshot,
@@ -55,9 +54,7 @@ class _CapturingAgent:
async def test_create_agent_reuses_cached_graph_when_signature_matches():
"""构造签名一致时应直接复用已编译 Agent 图。"""
cached_graph = object()
catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=0, factory_revision="factory-v1"
)
catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=0, factory_revision="factory-v1")
agent = MoviePilotAgent(session_id="cache-hit", user_id="user-1")
agent._compiled_agent_bundle = _CompiledAgentBundle(
signature=("sig",),
@@ -71,17 +68,22 @@ async def test_create_agent_reuses_cached_graph_when_signature_matches():
catalog_checked_at=datetime.now(),
)
with patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
), patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
), patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
), patch("app.agent.orchestrator.create_agent") as create_agent:
with (
patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
),
patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
),
patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
),
patch("app.agent.orchestrator.create_agent") as create_agent,
):
graph = await agent._create_agent(streaming=False)
assert graph is cached_graph
@@ -93,9 +95,7 @@ async def test_create_agent_reuses_cached_graph_when_signature_matches():
async def test_fresh_catalog_cache_hit_skips_tool_and_mcp_discovery() -> None:
"""目录仍在 freshness 窗口内时,缓存命中不得重建工具或访问 MCP。"""
cached_graph = object()
catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=0, factory_revision="factory-v1"
)
catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=0, factory_revision="factory-v1")
agent = MoviePilotAgent(session_id="catalog-cache-hit", user_id="user-1")
agent._compiled_agent_bundle = _CompiledAgentBundle(
signature=("sig",),
@@ -109,23 +109,29 @@ async def test_fresh_catalog_cache_hit_skips_tool_and_mcp_discovery() -> None:
catalog_checked_at=datetime.now(),
)
with patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
), patch.object(
agent,
"_initialize_local_tool_catalogs",
side_effect=AssertionError("tool catalog rebuilt"),
), patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
), patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
), patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(side_effect=AssertionError("MCP discovery called")),
with (
patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
),
patch.object(
agent,
"_initialize_local_tool_catalogs",
side_effect=AssertionError("tool catalog rebuilt"),
),
patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
),
patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
),
patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(side_effect=AssertionError("MCP discovery called")),
),
):
graph = await agent._create_agent(streaming=False)
@@ -137,9 +143,7 @@ async def test_fresh_catalog_cache_hit_skips_tool_and_mcp_discovery() -> None:
async def test_expired_unchanged_catalog_renews_freshness() -> None:
"""过期目录复核后若签名未变,应续期缓存而不是每轮重复 discovery。"""
cached_graph = object()
catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=0, factory_revision="factory-v1"
)
catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=0, factory_revision="factory-v1")
expired_at = datetime.now() - timedelta(minutes=5)
agent = MoviePilotAgent(session_id="catalog-refresh", user_id="user-1")
agent._compiled_agent_bundle = _CompiledAgentBundle(
@@ -160,53 +164,68 @@ async def test_expired_unchanged_catalog_renews_freshness() -> None:
)
temporary_middleware = SimpleNamespace(close=AsyncMock())
with patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
), patch.object(
agent,
"_initialize_local_tool_catalogs",
return_value=(catalog, catalog),
), patch.object(
agent,
"_initialize_mcp_tools",
new=AsyncMock(return_value=[]),
), patch.object(
agent,
"_initialize_subagent_mcp_tools",
new=AsyncMock(return_value=[]),
), patch.object(
agent,
"_initialize_llm",
new=AsyncMock(return_value=fake_llm),
), patch.object(
agent,
"_sync_model_profile",
), patch(
"app.agent.orchestrator.ServerToolRegistry.resolve_web_search",
return_value=SimpleNamespace(use_local_web_search=True),
), patch(
"app.agent.orchestrator.LLMHelper.get_server_tools",
return_value=[],
), patch(
"app.agent.orchestrator.prompt_manager.get_agent_prompt",
return_value="prompt",
), patch(
"app.agent.orchestrator.SkillsMiddleware",
return_value=SimpleNamespace(name="skills", tools=[]),
), patch(
"app.agent.orchestrator.create_subagent_middlewares",
return_value=([temporary_middleware], []),
), patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
), patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
), patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(return_value=[]),
with (
patch.object(
agent,
"_agent_bundle_signature",
new=AsyncMock(return_value=("sig",)),
),
patch.object(
agent,
"_initialize_local_tool_catalogs",
return_value=(catalog, catalog),
),
patch.object(
agent,
"_initialize_mcp_tools",
new=AsyncMock(return_value=[]),
),
patch.object(
agent,
"_initialize_subagent_mcp_tools",
new=AsyncMock(return_value=[]),
),
patch.object(
agent,
"_initialize_llm",
new=AsyncMock(return_value=fake_llm),
),
patch.object(
agent,
"_sync_model_profile",
),
patch(
"app.agent.orchestrator.ServerToolRegistry.resolve_web_search",
return_value=SimpleNamespace(use_local_web_search=True),
),
patch(
"app.agent.orchestrator.LLMHelper.get_server_tools",
return_value=[],
),
patch(
"app.agent.orchestrator.prompt_manager.get_agent_prompt",
return_value="prompt",
),
patch(
"app.agent.orchestrator.SkillsMiddleware",
return_value=SimpleNamespace(name="skills", tools=[]),
),
patch(
"app.agent.orchestrator.create_subagent_middlewares",
return_value=([temporary_middleware], []),
),
patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
),
patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
),
patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(return_value=[]),
),
):
graph = await agent._create_agent(streaming=False)
@@ -218,9 +237,7 @@ async def test_expired_unchanged_catalog_renews_freshness() -> None:
@pytest.mark.anyio
async def test_create_agent_cancellation_closes_temporary_subagent_middleware() -> None:
"""构图取消时必须释放尚未被缓存接管的子代理控制器。"""
catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=0, factory_revision="factory-v1"
)
catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=0, factory_revision="factory-v1")
fake_llm = SimpleNamespace(
_llm_type="openai-chat",
model="fake",
@@ -234,61 +251,75 @@ async def test_create_agent_cancellation_closes_temporary_subagent_middleware()
signature_started.set()
await __import__("asyncio").Future()
with patch.object(
agent,
"_resolve_llm_runtime_config",
new=AsyncMock(return_value={"provider": "openai", "model": "fake"}),
), patch.object(
agent,
"_initialize_local_tool_catalogs",
return_value=(catalog, catalog),
), patch.object(
agent,
"_initialize_mcp_tools",
new=AsyncMock(return_value=[]),
), patch.object(
agent,
"_initialize_subagent_mcp_tools",
new=AsyncMock(return_value=[]),
), patch.object(
agent,
"_initialize_llm",
new=AsyncMock(return_value=fake_llm),
), patch.object(
agent,
"_sync_model_profile",
), patch.object(
agent,
"_agent_bundle_signature",
new=_wait_for_signature,
), patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
), patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
), patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(return_value=[]),
), patch(
"app.agent.orchestrator.ServerToolRegistry.resolve_web_search",
return_value=SimpleNamespace(use_local_web_search=True),
), patch(
"app.agent.orchestrator.LLMHelper.get_server_tools",
return_value=[],
), patch(
"app.agent.orchestrator.prompt_manager.get_agent_prompt",
return_value="prompt",
), patch(
"app.agent.orchestrator.SkillsMiddleware",
return_value=SimpleNamespace(name="skills", tools=[]),
), patch(
"app.agent.orchestrator.create_subagent_middlewares",
return_value=([temporary_middleware], []),
with (
patch.object(
agent,
"_resolve_llm_runtime_config",
new=AsyncMock(return_value={"provider": "openai", "model": "fake"}),
),
patch.object(
agent,
"_initialize_local_tool_catalogs",
return_value=(catalog, catalog),
),
patch.object(
agent,
"_initialize_mcp_tools",
new=AsyncMock(return_value=[]),
),
patch.object(
agent,
"_initialize_subagent_mcp_tools",
new=AsyncMock(return_value=[]),
),
patch.object(
agent,
"_initialize_llm",
new=AsyncMock(return_value=fake_llm),
),
patch.object(
agent,
"_sync_model_profile",
),
patch.object(
agent,
"_agent_bundle_signature",
new=_wait_for_signature,
),
patch(
"app.agent.orchestrator._get_plugin_tools_revision",
return_value=0,
),
patch(
"app.agent.orchestrator.agent_mcp_manager.config_signature",
return_value="mcp-config",
),
patch(
"app.agent.orchestrator.agent_mcp_manager.list_enabled_tool_specs",
new=AsyncMock(return_value=[]),
),
patch(
"app.agent.orchestrator.ServerToolRegistry.resolve_web_search",
return_value=SimpleNamespace(use_local_web_search=True),
),
patch(
"app.agent.orchestrator.LLMHelper.get_server_tools",
return_value=[],
),
patch(
"app.agent.orchestrator.prompt_manager.get_agent_prompt",
return_value="prompt",
),
patch(
"app.agent.orchestrator.SkillsMiddleware",
return_value=SimpleNamespace(name="skills", tools=[]),
),
patch(
"app.agent.orchestrator.create_subagent_middlewares",
return_value=([temporary_middleware], []),
),
):
create_task = __import__("asyncio").create_task(
agent._create_agent(streaming=False)
)
create_task = __import__("asyncio").create_task(agent._create_agent(streaming=False))
await signature_started.wait()
create_task.cancel()
with pytest.raises(__import__("asyncio").CancelledError):
@@ -355,12 +386,8 @@ async def test_agent_bundle_signature_changes_with_tool_catalog() -> None:
"""工具目录 revision 必须参与会话内 Agent 图缓存签名。"""
agent = MoviePilotAgent(session_id="tool-revision", user_id="user-1")
runtime_config = {"provider": "openai", "model": "gpt-test"}
first_catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=1, factory_revision="factory-v1"
)
second_catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=2, factory_revision="factory-v1"
)
first_catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=1, factory_revision="factory-v1")
second_catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=2, factory_revision="factory-v1")
with patch.object(
agent,
@@ -383,10 +410,10 @@ async def test_agent_bundle_signature_changes_with_tool_catalog() -> None:
@pytest.mark.anyio
@pytest.mark.parametrize("max_tools", [0, 5])
async def test_graph_keeps_mcp_first_winner_and_catalogs_all_collisions(
async def test_graph_rejects_mcp_and_skill_name_collisions(
max_tools: int,
) -> None:
"""主图子图保持 MCP first-wins严格目录覆盖全部客户端工具"""
"""主图子图都必须在编译前拒绝同名 MCP/Skill 身份"""
servers = [
AgentMcpServerConfig(
id=server_id,
@@ -416,9 +443,7 @@ async def test_graph_keeps_mcp_first_winner_and_catalogs_all_collisions(
user_id="user",
specs=specs,
)
empty_catalog = ToolCatalogSnapshot.from_tools(
[], plugin_revision=0, factory_revision="factory-v1"
)
empty_catalog = ToolCatalogSnapshot.from_tools([], plugin_revision=0, factory_revision="factory-v1")
fake_llm = SimpleNamespace(
_llm_type="openai-chat",
model="fake",
@@ -565,42 +590,14 @@ async def test_graph_keeps_mcp_first_winner_and_catalogs_all_collisions(
with ExitStack() as stack:
for patcher in patchers:
stack.enter_context(patcher)
await agent._create_agent(streaming=False)
with pytest.raises(
ToolIdentityAmbiguousError,
match="TOOL_IDENTITY_AMBIGUOUS: shared_echo",
):
await agent._create_agent(streaming=False)
assert captured["agent_tools"] == [main_tools[0], skill_tool, activity_tool]
assert captured["subagent_tools"] == [subagent_tools[0]]
if max_tools:
assert captured["selection_tools"] == [
main_tools[0],
skill_tool,
activity_tool,
subagent_task_tool,
]
assert captured["middlewares"][-3].name == "selector"
else:
assert "selection_tools" not in captured
assert captured["middlewares"][-2].name == "FinalRequestCompactionMiddleware"
assert captured["middlewares"][-1].name == "usage"
policy_middleware = next(
middleware
for middleware in captured["middlewares"]
if isinstance(middleware, AgentPolicyMiddleware)
)
assert [
entry.source
for entry in policy_middleware.catalog.collisions["shared_echo"]
] == ["mcp:one", "mcp:two", "middleware:skills"]
assert (
policy_middleware.catalog.resolve_unique("query_activity_log").tool
is activity_tool
)
assert policy_middleware.catalog.resolve_unique("task").tool is subagent_task_tool
with pytest.raises(ToolIdentityAmbiguousError, match="TOOL_IDENTITY_AMBIGUOUS"):
policy_middleware.catalog.resolve_unique("shared_echo")
assert [
entry.source
for entry in captured["subagent_catalog"].collisions["shared_echo"]
] == ["mcp:one", "mcp:two"]
assert "agent_tools" not in captured
assert "subagent_tools" not in captured
@pytest.mark.anyio
@@ -612,9 +609,7 @@ async def test_execute_agent_sends_only_latest_message_on_cache_hit():
agent._tool_context = {"user_reply_sent": False}
agent._streamed_output = ""
agent._should_stream = lambda: False
agent.stream_handler = SimpleNamespace(
stop_streaming=AsyncMock(return_value=(False, ""))
)
agent.stream_handler = SimpleNamespace(stop_streaming=AsyncMock(return_value=(False, "")))
async def _create_agent(streaming=False):
"""模拟缓存命中后的 Agent 创建结果。"""