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

app-instance/backend/beaver/engine/context/builder.py

@@ -22,6 +22,7 @@
 
 from __future__ import annotations
 
+import json
 from dataclasses import dataclass, field
 from typing import Any
 
@@ -224,8 +225,29 @@ class ContextBuilder:
         clean = {key: value for key, value in message.items() if key in allowed}
         if "name" not in clean and message.get("tool_name"):
             clean["name"] = message.get("tool_name")
+        if isinstance(clean.get("tool_calls"), list):
+            clean["tool_calls"] = ContextBuilder._provider_tool_calls(clean["tool_calls"])
         return clean
 
+    @staticmethod
+    def _provider_tool_calls(tool_calls: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        """Normalize persisted tool calls to OpenAI-compatible provider payloads."""
+
+        normalized: list[dict[str, Any]] = []
+        for tool_call in tool_calls:
+            if not isinstance(tool_call, dict):
+                continue
+            clean = dict(tool_call)
+            function = clean.get("function")
+            if isinstance(function, dict):
+                clean_function = dict(function)
+                arguments = clean_function.get("arguments")
+                if not isinstance(arguments, str):
+                    clean_function["arguments"] = json.dumps(arguments or {}, ensure_ascii=False, default=str)
+                clean["function"] = clean_function
+            normalized.append(clean)
+        return normalized
+
     def add_tool_result(
         self,
         messages: list[dict[str, Any]],
@@ -278,7 +300,7 @@ class ContextBuilder:
             "content": content,
         }
         if tool_calls:
-            message["tool_calls"] = tool_calls
+            message["tool_calls"] = self._provider_tool_calls(tool_calls)
         if reasoning_content is not None:
             message["reasoning_content"] = reasoning_content
         messages.append(message)