fix(toolkit): 修复搜索工具参数与工具信息展示问题

1. 为web_search和tavily_search添加runtime默认值None
2. 重构工具参数提取逻辑，跳过runtime参数并适配pydantic v2字段
3. 调整工具包导入顺序与格式化
4. 为外部工具调用添加上下文透传日志字段

backend/package/yuxi/agents/toolkits/buildin/__init__.py

@@ -1,12 +1,14 @@
 # buildin 工具包
-from .install_skill import install_skill
-from .tools import ask_user_question, present_artifacts
 # Web 搜索与抓取工具（不依赖 LITE 模式，始终注册）
-from . import search  # noqa: F401
-from . import crawl  # noqa: F401
+from . import (
+    crawl,  # noqa: F401
+    search,  # noqa: F401
+)
+from .install_skill import install_skill
 
 # 会话通信工具仅在非 LITE 模式下注册
 from .session_tools import _LITE_MODE as _session_lite_mode
+from .tools import ask_user_question, present_artifacts
 
 if not _session_lite_mode:
     from .session_tools import get_agent_progress, get_session_history, list_sessions, send_to_session
@@ -18,9 +20,11 @@ __all__ = [
 ]
 
 if not _session_lite_mode:
-    __all__.extend([
-        "get_agent_progress",
-        "get_session_history",
-        "list_sessions",
-        "send_to_session",
-    ])
+    __all__.extend(
+        [
+            "get_agent_progress",
+            "get_session_history",
+            "list_sessions",
+            "send_to_session",
+        ]
+    )

backend/package/yuxi/agents/toolkits/buildin/search/tools.py

@@ -1,4 +1,5 @@
 """web_search 与 tavily_search 工具注册。"""
+
 import json
 
 from langgraph.prebuilt.tool_node import ToolRuntime
@@ -9,7 +10,6 @@ from .chain import build_provider_chain
 from .models import SearchResult
 from .rate_limiter import rate_limiter
 
-
 WEB_SEARCH_DESCRIPTION = """
 搜索互联网获取实时信息。
 
@@ -104,7 +104,7 @@ async def _execute_web_search(query: str, max_results: int, runtime: ToolRuntime
 async def web_search(
     query: str,
     max_results: int = 5,
-    runtime: ToolRuntime,
+    runtime: ToolRuntime = None,
 ) -> str:
     """搜索互联网，返回结构化结果列表。"""
     return await _execute_web_search(query, max_results, runtime)
@@ -119,7 +119,7 @@ async def web_search(
 async def tavily_search(
     query: str,
     max_results: int = 5,
-    runtime: ToolRuntime,
+    runtime: ToolRuntime = None,
 ) -> str:
     """Tavily 网页搜索（兼容入口，内部委托 _execute_web_search）。"""
     return await _execute_web_search(query, max_results, runtime)

backend/package/yuxi/agents/toolkits/service.py

@@ -19,16 +19,35 @@ def _extract_tool_info(tool_obj) -> dict:
 
     if hasattr(tool_obj, "args_schema") and tool_obj.args_schema:
         schema = tool_obj.args_schema
-        if hasattr(schema, "schema"):
-            schema = schema.schema()
-        for arg_name, arg_info in schema.get("properties", {}).items():
-            info["args"].append(
-                {
-                    "name": arg_name,
-                    "type": arg_info.get("type", ""),
-                    "description": arg_info.get("description", ""),
-                }
-            )
+        # 优先从 pydantic v2 ``model_fields`` 提取参数信息，避免对
+        # ``ToolRuntime`` 等含 callable 字段（如 ``stream_writer``）的注入式
+        # 参数生成完整 JSON schema 时抛出 ``PydanticInvalidForJsonSchema``。
+        # ``runtime`` 字段由 langgraph 自动注入，不属于用户输入参数，跳过展示。
+        model_fields = getattr(schema, "model_fields", None)
+        if model_fields:
+            for arg_name, field_info in model_fields.items():
+                if arg_name == "runtime":
+                    continue
+                annotation = field_info.annotation
+                info["args"].append(
+                    {
+                        "name": arg_name,
+                        "type": getattr(annotation, "__name__", str(annotation)),
+                        "description": field_info.description or "",
+                    }
+                )
+        elif hasattr(schema, "schema"):
+            schema_dict = schema.schema()
+            for arg_name, arg_info in schema_dict.get("properties", {}).items():
+                if arg_name == "runtime":
+                    continue
+                info["args"].append(
+                    {
+                        "name": arg_name,
+                        "type": arg_info.get("type", ""),
+                        "description": arg_info.get("description", ""),
+                    }
+                )
     return info
 
 
@@ -146,15 +165,21 @@ async def resolve_configured_runtime_tools(context) -> list[Any]:
     if external_tool_names:
         async with pg_manager.get_async_session_context() as db:
             use_cases = create_use_cases_from_db(db)
+            # 透传 agent 上下文（uid 作为 caller_id，run_id 作为 correlation_id），
+            # 使 agent 调用外部工具时写入完整的可观测性字段
+            thread_id = getattr(context, "thread_id", None)
             output = await use_cases.tool_service.build_runtime_tools(
-                BuildRuntimeToolsInput(slugs=external_tool_names),
+                BuildRuntimeToolsInput(
+                    slugs=external_tool_names,
+                    caller_id=getattr(context, "uid", None),
+                    correlation_id=getattr(context, "run_id", None),
+                    tags={"thread_id": thread_id} if thread_id else {},
+                ),
             )
         selected_tools.extend(output.items)
         selected_tool_names.update(tool.name for tool in output.items)
         # 构建失败的工具 slug 必须显式记录，避免用户配置的工具被静默丢失
         if output.failed_slugs:
-            logger.warning(
-                f"Failed to build external runtime tools, skipped: {output.failed_slugs}"
-            )
+            logger.warning(f"Failed to build external runtime tools, skipped: {output.failed_slugs}")
 
     return selected_tools