feat(coordinator): 添加团队节点默认最大工具迭代次数配置

添加 DEFAULT_TEAM_NODE_MAX_TOOL_ITERATIONS 配置项以控制团队节点的最大工具迭代次数,
并修改 LocalAgentRunner 中的逻辑来使用此默认值当 envelope 中未指定时。

fix(runtime): 修复团队节点运行成功判断逻辑

更新运行成功判断条件,将 finish_reason 为 "max_tool_iterations_finalized" 的情况
视为运行失败,并添加对原始工具调用输出的检测,避免将其误判为成功完成。

feat(mcp): 添加团队工作流MCP工具类别支持

增加新的本地MCP工具类别 "team_workflow" 及其对应的工具创建功能,
为团队工作流提供本地工具支持。

refactor(engine): 调整AgentLoop最大工具迭代次数设置

将 AgentProfile 中的默认 max_tool_iterations 从 30 增加到 100,
同时移除 TaskExecutionPlanner 构造函数中的重复参数传递。

perf(mcp): 优化MCP连接管理避免重复连接

添加 mcp_connected 标志来跟踪MCP连接状态,确保 connect_all 只执行一次,
提高性能并避免不必要的重复连接。

refactor(skills): 移除技能团队模板相关功能

移除与技能团队模板相关的代码,包括解析、存储和处理逻辑,
简化技能记录结构和加载流程。

feat(process): 增强会话过程投影器功能

添加技能激活快照事件处理,改进团队运行完成消息显示,
并增强技能激活事件的时间戳记录功能。

refactor(tasks): 简化任务尝试编排器团队执行逻辑

移除团队执行相关代码,将所有任务统一按单步执行处理,
简化任务编排器的复杂度并提升执行效率。

fix(evidence): 修复节点证据评估中需求验证逻辑

更新节点证据评估逻辑,跳过自然语言证据需求的确定性验证,
只执行机器可读的需求验证,避免因自然语言需求导致的节点失败。
This commit is contained in:
2026-06-26 16:36:29 +08:00
parent 53b13e8eac
commit 520a21a027
360 changed files with 13271 additions and 1848 deletions

View File

@ -1,10 +1,13 @@
import asyncio
import json
from contextlib import suppress
from types import SimpleNamespace
from typing import Any
from beaver.engine import AgentLoop, AgentRunResult, EngineLoader
from beaver.engine import loop as loop_module
from beaver.engine.providers.base import LLMProvider, LLMResponse
from beaver.engine.providers.factory import ProviderBundle
def _run_result(run_id: str, output_text: str) -> AgentRunResult:
@ -49,7 +52,7 @@ def test_running_loop_handles_reentrant_submit_direct(tmp_path) -> None:
asyncio.run(run_case())
def test_web_search_loop_guard_stops_after_repeated_low_quality_results() -> None:
def test_web_search_loop_guard_keeps_successful_low_quality_results_available() -> None:
guard = loop_module._WebSearchLoopGuard()
low_quality = json.dumps(
{
@ -63,21 +66,106 @@ def test_web_search_loop_guard_stops_after_repeated_low_quality_results() -> Non
assert guard.observe_result("web_search", low_quality) is None
assert guard.observe_result("web_search", low_quality) is None
guidance = guard.observe_result("web_search", low_quality)
assert guidance is not None
assert guidance["finish_reason"] == "web_search_low_quality_budget"
assert "weather beijing" in guidance["message"]
assert guard.observe_result("web_search", low_quality) is None
def test_web_search_loop_guard_resets_after_useful_result() -> None:
guard = loop_module._WebSearchLoopGuard()
low_quality = json.dumps({"success": True, "query": "weather", "quality": "low", "results": []})
failed_search = json.dumps({"success": False, "query": "weather", "error": "timeout"})
useful = json.dumps({"success": True, "query": "weather", "quality": "high", "results": []})
assert guard.observe_result("web_search", low_quality) is None
assert guard.observe_result("web_search", failed_search) is None
assert guard.observe_result("web_search", useful) is None
assert guard.observe_result("web_search", low_quality) is None
assert guard.observe_result("web_search", low_quality) is None
assert guard.observe_result("web_search", failed_search) is None
assert guard.observe_result("web_search", failed_search) is None
assert guard.observe_result("web_search", low_quality) is not None
assert guard.observe_result("web_search", failed_search) is not None
class RecordingProvider(LLMProvider):
def __init__(self) -> None:
super().__init__()
self.tool_names_by_call: list[list[str]] = []
async def chat(
self,
messages: list[dict],
tools: list[dict] | None = None,
model: str | None = None,
max_tokens: int | None = None,
temperature: float = 0.7,
thinking_enabled: bool | None = None,
) -> LLMResponse:
self.tool_names_by_call.append(
[
str(tool.get("function", {}).get("name") or tool.get("name"))
for tool in tools or []
]
)
return LLMResponse("done", provider_name="stub", model="stub-model")
def get_default_model(self) -> str:
return "stub-model"
def _bundle(provider: RecordingProvider) -> ProviderBundle:
return ProviderBundle(
main_runtime=SimpleNamespace(model="stub-model", provider_name="stub"),
main_provider=provider,
)
def test_task_mode_root_does_not_expose_agent_team_tool(tmp_path) -> None:
provider = RecordingProvider()
loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
asyncio.run(
loop.process_direct(
"compare financial reports",
session_id="session",
task_id="task-1",
task_mode=True,
include_skill_assembly=False,
provider_bundle=_bundle(provider),
)
)
assert "run_agent_team" not in provider.tool_names_by_call[0]
def test_default_engine_registry_does_not_register_agent_team_tool(tmp_path) -> None:
loaded = AgentLoop(loader=EngineLoader(workspace=tmp_path)).boot()
assert loaded.tool_registry is not None
assert loaded.tool_registry.get("run_agent_team") is None
assert "run_agent_team" not in loaded.tools
def test_non_task_and_team_node_do_not_expose_agent_team_tool(tmp_path) -> None:
non_task_provider = RecordingProvider()
loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
asyncio.run(
loop.process_direct(
"ordinary chat",
session_id="session",
include_skill_assembly=False,
provider_bundle=_bundle(non_task_provider),
)
)
team_node_provider = RecordingProvider()
asyncio.run(
loop.process_direct(
"team child",
session_id="session:team:child",
parent_session_id="session",
source="team:child",
task_id="task-1",
task_mode=True,
include_skill_assembly=False,
provider_bundle=_bundle(team_node_provider),
)
)
assert "run_agent_team" not in non_task_provider.tool_names_by_call[0]
assert "run_agent_team" not in team_node_provider.tool_names_by_call[0]