feat(engine): 添加MCP连接管理和工具集成功能

- 集成MCP连接管理器,支持MCP服务器连接
- 添加多种内置工具:ClarifyTool、CronTool、DelegateTool、ExecuteCodeTool、
  PatchFileTool、ProcessTool、SendMessageTool、SpawnTool、TerminalTool、
  TodoTool、WebFetchTool、WebSearchTool、WriteFileTool等
- 实现工具注册和装配功能
- 添加技能选择上下文参数
- 支持思考模式控制参数thinking_enabled

feat(coordinator): 重构任务执行计划器参数命名

- 将learning_candidate_enabled重命名为allow_candidate_generation
- 更新TeamGraphScheduler中的参数传递
- 修改LocalAgentRunner中的相关参数处理
- 更新README文档中的相应描述

refactor(context): 标准化工具调用参数格式

- 添加_json导入用于参数序列化
- 实现_provider_tool_calls方法标准化OpenAI兼容的工具调用载荷
- 修复工具调用中参数非字符串类型的序列化问题

refactor(session): 优化消息历史记录过滤逻辑

- 修改get_messages_as_conversation为基于运行状态过滤消息
- 排除未完成、失败或错误结束的运行记录
- 改进对话历史的可见性控制机制

fix(store): 修复FTS索引重建逻辑

- 添加异常处理防止FTS索引创建失败
- 实现_rebuild_fts_index方法重新构建全文搜索索引
- 优化索引触发器和表的维护流程
This commit is contained in:
2026-05-14 09:43:48 +08:00
parent 8a12c30141
commit 30ab74ffb2
149 changed files with 12293 additions and 2812 deletions

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@ -0,0 +1,116 @@
from __future__ import annotations
import asyncio
from beaver.engine.providers.base import LLMProvider, LLMResponse
from beaver.tasks import MainAgentRouter, TaskRecord
class RouterProvider(LLMProvider):
def __init__(self, response: str | Exception) -> None:
super().__init__()
self.response = response
self.calls: list[dict] = []
async def chat(
self,
messages: list[dict],
tools: list[dict] | None = None,
model: str | None = None,
max_tokens: int = 4096,
temperature: float = 0.7,
thinking_enabled: bool | None = None,
) -> LLMResponse:
self.calls.append(
{
"max_tokens": max_tokens,
"temperature": temperature,
"model": model,
"thinking_enabled": thinking_enabled,
}
)
if isinstance(self.response, Exception):
raise self.response
return LLMResponse(content=self.response, finish_reason="stop", provider_name="stub", model="stub-model")
def get_default_model(self) -> str:
return "stub-model"
def _task() -> TaskRecord:
return TaskRecord(
task_id="task-1",
session_id="web:task",
description="实现任务连续性",
goal="实现任务连续性",
constraints=[],
priority=0,
status="awaiting_feedback",
creator="test",
created_at="now",
updated_at="now",
metadata={"short_title": "任务连续性"},
)
def test_router_continues_active_task_from_llm_decision() -> None:
provider = RouterProvider('{"action":"continue_task","reason":"related","short_title":"任务连续性"}')
decision = asyncio.run(
MainAgentRouter().classify(
"再把输入框标识也补上",
active_task=_task(),
provider=provider,
)
)
assert decision.is_task
assert decision.starts_new_task is False
assert decision.short_title == "任务连续性"
assert provider.calls[0]["max_tokens"] == 256
def test_router_receives_thinking_mode() -> None:
provider = RouterProvider('{"action":"simple_chat","reason":"simple"}')
decision = asyncio.run(
MainAgentRouter().classify(
"你好",
provider=provider,
thinking_enabled=False,
)
)
assert not decision.is_task
assert provider.calls[0]["thinking_enabled"] is False
def test_router_closes_active_task_from_llm_decision() -> None:
decision = asyncio.run(
MainAgentRouter().classify(
"这个任务结束了",
active_task=_task(),
provider=RouterProvider('{"action":"close_task","reason":"user said done"}'),
)
)
assert not decision.is_task
assert decision.closes_task is True
def test_router_fallback_keeps_active_task_but_not_new_task() -> None:
active = asyncio.run(
MainAgentRouter().classify(
"继续",
active_task=_task(),
provider=RouterProvider(RuntimeError("provider down")),
)
)
inactive = asyncio.run(
MainAgentRouter().classify(
"implement something",
active_task=None,
provider=RouterProvider(RuntimeError("provider down")),
)
)
assert active.is_task
assert not inactive.is_task