✨ feat(llm): 优化 DeepSeek 适配器 (#2160)

* ✨ feat(llm): 新增 Grok 适配器及 API 密钥重置指令

- 新增 Grok 适配器并支持原生推特检索工具 `x_search`
- 优化 DeepSeek 适配器以迁移至 Responses 协议，增强多模态支持
- 在 LLM 管理插件中新增 `llm reset` 子命令以重置 Key 状态
- 增强 MCP 连接异常处理及流关闭容错能力

* 🚨 auto fix by pre-commit hooks

---------

Co-authored-by: webjoin111 <455457521@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

zhenxun/services/ai/llm/adapters/grok.py

@@ -0,0 +1,60 @@
+from typing import Any
+
+from zhenxun.services.ai.core.models import ModelCapabilities
+from zhenxun.services.ai.llm.adapters.handlers.openai_handlers import (
+    OpenAIResponsesTextHandler,
+    ResponsesToolSerializer,
+)
+from zhenxun.services.ai.llm.adapters.openai import OpenAIResponsesAdapter
+
+
+class GrokToolSerializer(ResponsesToolSerializer):
+    """Grok 专属工具序列化器"""
+
+    def serialize_server_tools(
+        self, tools: list[Any], capabilities: ModelCapabilities
+    ) -> list[dict[str, Any]]:
+        res = []
+        for t in tools:
+            type_id = getattr(t, "type_id", "unknown")
+            if type_id not in capabilities.supported_native_tools:
+                continue
+
+            if type_id == "web_search":
+                res.append({"type": "web_search"})
+            elif type_id == "x_search":
+                payload = {"type": "x_search"}
+                if getattr(t, "allowed_x_handles", None):
+                    payload["allowed_x_handles"] = t.allowed_x_handles
+                if getattr(t, "excluded_x_handles", None):
+                    payload["excluded_x_handles"] = t.excluded_x_handles
+                res.append(payload)
+            elif type_id == "code_execution":
+                res.append({"type": "code_interpreter"})
+            elif type_id == "file_search":
+                res.append({"type": "file_search"})
+        return res
+
+
+class GrokTextHandler(OpenAIResponsesTextHandler):
+    """Grok 文本处理器"""
+
+    def __init__(self, api_type: str = "grok"):
+        super().__init__(api_type=api_type)
+        self.serializer = GrokToolSerializer(api_type=api_type)
+
+
+class GrokAdapter(OpenAIResponsesAdapter):
+    """xAI Grok API 适配器"""
+
+    def __init__(self):
+        super().__init__()
+        self.text_handler = GrokTextHandler(api_type=self.api_type)
+
+    @property
+    def api_type(self) -> str:
+        return "grok"
+
+    @property
+    def supported_api_types(self) -> list[str]:
+        return ["grok"]