Merge branch 'Mai-with-u:dev' into dev

pytests/config_test/test_config_manager_hot_reload.py

@@ -16,7 +16,7 @@ async def test_handle_file_changes_throttles_reload():
 
     called = 0
 
-    async def reload_stub() -> bool:
+    async def reload_stub(changed_scopes=None) -> bool:
         nonlocal called
         called += 1
         return True
@@ -36,7 +36,7 @@ async def test_handle_file_changes_timeout_logged(caplog):
     manager._hot_reload_min_interval_s = 0.0
     manager._hot_reload_timeout_s = 0.01
 
-    async def reload_stub() -> bool:
+    async def reload_stub(changed_scopes=None) -> bool:
         await asyncio.sleep(0.05)
         return True
 
@@ -55,7 +55,7 @@ async def test_handle_file_changes_empty_skips_reload():
 
     called = 0
 
-    async def reload_stub() -> bool:
+    async def reload_stub(changed_scopes=None) -> bool:
         nonlocal called
         called += 1
         return True

pytests/config_test/test_config_manager_startup_upgrade.py

@@ -0,0 +1,33 @@
+from typing import Any
+
+import pytest
+
+from src.config import config as config_module
+from src.config.config import Config, ConfigManager, ModelConfig
+
+
+class _StartupUpgradeExit(Exception):
+    pass
+
+
+def test_initialize_upgrades_bot_and_model_config_before_exit(monkeypatch):
+    manager = ConfigManager()
+    loaded_config_classes: list[type[Any]] = []
+    exit_codes: list[int | None] = []
+
+    def fake_load_config_from_file(config_class, config_path, new_ver, override_repr=False):
+        loaded_config_classes.append(config_class)
+        return object(), True
+
+    def fake_exit(code: int | None = None):
+        exit_codes.append(code)
+        raise _StartupUpgradeExit
+
+    monkeypatch.setattr(config_module, "load_config_from_file", fake_load_config_from_file)
+    monkeypatch.setattr(config_module.sys, "exit", fake_exit)
+
+    with pytest.raises(_StartupUpgradeExit):
+        manager.initialize()
+
+    assert loaded_config_classes == [Config, ModelConfig]
+    assert exit_codes == [0]

pytests/test_llm_provider_registry.py

@@ -0,0 +1,101 @@
+from typing import List
+
+from src.llm_models.model_client.base_client import (
+    APIResponse,
+    AudioTranscriptionRequest,
+    BaseClient,
+    ClientProviderRegistration,
+    ClientRegistry,
+    EmbeddingRequest,
+    ResponseRequest,
+)
+
+
+class DummyClient(BaseClient):
+    """测试用 LLM 客户端。"""
+
+    async def get_response(self, request: ResponseRequest) -> APIResponse:
+        """获取测试响应。
+
+        Args:
+            request: 统一响应请求。
+
+        Returns:
+            APIResponse: 测试响应。
+        """
+        del request
+        return APIResponse(content="ok")
+
+    async def get_embedding(self, request: EmbeddingRequest) -> APIResponse:
+        """获取测试嵌入。
+
+        Args:
+            request: 统一嵌入请求。
+
+        Returns:
+            APIResponse: 测试嵌入响应。
+        """
+        del request
+        return APIResponse(embedding=[1.0])
+
+    async def get_audio_transcriptions(self, request: AudioTranscriptionRequest) -> APIResponse:
+        """获取测试音频转写。
+
+        Args:
+            request: 统一音频转写请求。
+
+        Returns:
+            APIResponse: 测试音频转写响应。
+        """
+        del request
+        return APIResponse(content="audio")
+
+    def get_support_image_formats(self) -> List[str]:
+        """获取测试支持的图片格式。
+
+        Returns:
+            List[str]: 支持的图片格式列表。
+        """
+        return ["png"]
+
+
+def test_client_registry_rejects_provider_conflict():
+    """同一 client_type 被不同插件注册时应拒绝。"""
+    registry = ClientRegistry()
+    registry.replace_plugin_providers(
+        "plugin.alpha",
+        [
+            ClientProviderRegistration(
+                client_type="example",
+                factory=DummyClient,
+                owner_plugin_id="plugin.alpha",
+            )
+        ],
+    )
+
+    try:
+        registry.validate_plugin_provider_replacement("plugin.beta", ["example"])
+    except ValueError as exc:
+        assert "冲突" in str(exc)
+    else:
+        raise AssertionError("不同插件注册相同 client_type 应失败")
+
+
+def test_client_registry_unregisters_plugin_providers():
+    """插件注销时应移除它拥有的 Provider 注册。"""
+    registry = ClientRegistry()
+    registry.replace_plugin_providers(
+        "plugin.alpha",
+        [
+            ClientProviderRegistration(
+                client_type="example",
+                factory=DummyClient,
+                owner_plugin_id="plugin.alpha",
+            )
+        ],
+    )
+
+    removed_count = registry.unregister_plugin_providers("plugin.alpha")
+
+    assert removed_count == 1
+    assert "example" not in registry.client_registry

pytests/test_plugin_runtime.py

@@ -30,6 +30,7 @@ def build_test_manifest(
     name: str = "测试插件",
     description: str = "测试插件描述",
     dependencies: list[dict[str, str]] | None = None,
+    llm_providers: list[dict[str, str]] | None = None,
     capabilities: list[str] | None = None,
     host_min_version: str = "0.12.0",
     host_max_version: str = "1.0.0",
@@ -44,6 +45,7 @@ def build_test_manifest(
         name: 展示名称。
         description: 插件描述。
         dependencies: 依赖声明列表。
+        llm_providers: LLM Provider 静态声明列表。
         capabilities: 能力声明列表。
         host_min_version: Host 最低支持版本。
         host_max_version: Host 最高支持版本。
@@ -75,6 +77,7 @@ def build_test_manifest(
             "max_version": sdk_max_version,
         },
         "dependencies": dependencies or [],
+        "llm_providers": llm_providers or [],
         "capabilities": capabilities or [],
         "i18n": {
             "default_locale": "zh-CN",
@@ -89,6 +92,7 @@ def build_test_manifest_model(
     *,
     version: str = "1.0.0",
     dependencies: list[dict[str, str]] | None = None,
+    llm_providers: list[dict[str, str]] | None = None,
     capabilities: list[str] | None = None,
     host_version: str = "1.0.0",
     sdk_version: str = "2.0.1",
@@ -99,6 +103,7 @@ def build_test_manifest_model(
         plugin_id: 插件 ID。
         version: 插件版本。
         dependencies: 依赖声明列表。
+        llm_providers: LLM Provider 静态声明列表。
         capabilities: 能力声明列表。
         host_version: 当前测试使用的 Host 版本。
         sdk_version: 当前测试使用的 SDK 版本。
@@ -114,6 +119,7 @@ def build_test_manifest_model(
             plugin_id,
             version=version,
             dependencies=dependencies,
+            llm_providers=llm_providers,
             capabilities=capabilities,
         )
     )
@@ -1055,6 +1061,63 @@ class TestManifestValidator:
         assert validator.validate(manifest) is False
         assert any("Python 包依赖冲突" in error for error in validator.errors)
 
+    def test_llm_provider_manifest_declaration(self):
+        from src.plugin_runtime.runner.manifest_validator import ManifestValidator
+
+        validator = ManifestValidator(host_version="1.0.0", sdk_version="2.0.1")
+        manifest = build_test_manifest(
+            "test.llm-provider",
+            llm_providers=[
+                {
+                    "client_type": "example.provider",
+                    "name": "Example Provider",
+                    "description": "测试 Provider",
+                    "version": "1.0.0",
+                }
+            ],
+        )
+
+        parsed_manifest = validator.parse_manifest(manifest)
+
+        assert parsed_manifest is not None
+        assert parsed_manifest.llm_provider_client_types == ["example.provider"]
+
+    def test_duplicate_llm_provider_manifest_declaration_is_rejected(self):
+        from src.plugin_runtime.runner.manifest_validator import ManifestValidator
+
+        validator = ManifestValidator(host_version="1.0.0", sdk_version="2.0.1")
+        manifest = build_test_manifest(
+            "test.llm-provider-duplicate",
+            llm_providers=[
+                {"client_type": "example.provider"},
+                {"client_type": "example.provider"},
+            ],
+        )
+
+        assert validator.validate(manifest) is False
+        assert any("重复的 LLM Provider" in error for error in validator.errors)
+
+
+def test_llm_provider_conflict_blocks_all_conflicting_plugins(tmp_path: Path):
+    from src.plugin_runtime.integration import PluginRuntimeManager
+
+    plugin_root = tmp_path / "plugins"
+    plugin_root.mkdir()
+    for plugin_id in ["test.provider-alpha", "test.provider-beta"]:
+        plugin_dir = plugin_root / plugin_id
+        plugin_dir.mkdir()
+        manifest = build_test_manifest(
+            plugin_id,
+            llm_providers=[{"client_type": "example.provider"}],
+        )
+        (plugin_dir / "_manifest.json").write_text(json.dumps(manifest), encoding="utf-8")
+        (plugin_dir / "plugin.py").write_text("def create_plugin():\n    return None\n", encoding="utf-8")
+
+    blocked_reasons = PluginRuntimeManager._discover_llm_provider_conflicts([plugin_root])
+
+    assert set(blocked_reasons) == {"test.provider-alpha", "test.provider-beta"}
+    assert all("example.provider" in reason for reason in blocked_reasons.values())
+
 
 class TestVersionComparator:
     """版本号比较器测试"""

src/config/config.py

@@ -196,8 +196,15 @@ class ConfigManager:
     def initialize(self):
         logger.info(t("config.current_version", version=MMC_VERSION))
         logger.info(t("config.loading"))
-        self.global_config = self.load_global_config()
-        self.model_config = self.load_model_config()
+        self.global_config, global_updated = load_config_from_file(Config, self.bot_config_path, CONFIG_VERSION)
+        self.model_config, model_updated = load_config_from_file(
+            ModelConfig,
+            self.model_config_path,
+            MODEL_CONFIG_VERSION,
+            True,
+        )
+        if global_updated or model_updated:
+            sys.exit(0)  # 配置已自动升级，退出一次让用户确认新配置后再启动
         logger.info(t("config.loaded"))
 
     def load_global_config(self) -> Config:

src/llm_models/model_client/base_client.py

@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, field
-from typing import Any, Callable, Coroutine, Dict, List, Tuple, Type
+from typing import Any, Callable, Coroutine, Dict, List, Set, Tuple, Type
 
 import asyncio
 
@@ -204,19 +204,48 @@ class BaseClient(ABC):
         raise NotImplementedError("'get_support_image_formats' method should be overridden in subclasses")
 
 
+ClientFactory = Callable[[APIProvider], BaseClient]
+"""根据 APIProvider 创建客户端实例的工厂函数。"""
+
+
+@dataclass(slots=True)
+class ClientProviderRegistration:
+    """LLM Provider 客户端类型注册信息。"""
+
+    client_type: str
+    """客户端类型标识，对应模型配置中的 `api_providers[].client_type`。"""
+
+    factory: ClientFactory
+    """客户端实例工厂。"""
+
+    owner_plugin_id: str | None = None
+    """拥有该客户端类型的插件 ID；主程序内置类型为 ``None``。"""
+
+    version: str = "1.0.0"
+    """Provider 实现版本。"""
+
+    description: str = ""
+    """Provider 描述文本。"""
+
+    builtin: bool = False
+    """是否为主程序内置 Provider。"""
+
+
 class ClientRegistry:
     """客户端注册表。"""
 
     def __init__(self) -> None:
         """初始化注册表并绑定配置重载回调。"""
-        self.client_registry: Dict[str, Type[BaseClient]] = {}
-        """APIProvider.type -> BaseClient的映射表"""
+        self.client_registry: Dict[str, ClientProviderRegistration] = {}
+        """APIProvider.client_type -> Provider 注册信息映射表。"""
         self.client_instance_cache: Dict[str, BaseClient] = {}
         """APIProvider.name -> BaseClient的映射表"""
+        self._owner_client_types: Dict[str, Set[str]] = {}
+        """插件 ID -> 该插件拥有的 client_type 集合。"""
         config_manager.register_reload_callback(self.clear_client_instance_cache)
 
     def register_client_class(self, client_type: str) -> Callable[[Type[BaseClient]], Type[BaseClient]]:
-        """注册 API 客户端类。
+        """注册主程序内置 API 客户端类。
 
         Args:
             client_type: 客户端类型标识。
@@ -226,13 +255,180 @@ class ClientRegistry:
         """
 
         def decorator(cls: Type[BaseClient]) -> Type[BaseClient]:
+            """将内置客户端类注册到全局客户端注册表。
+
+            Args:
+                cls: 待注册的客户端类。
+
+            Returns:
+                Type[BaseClient]: 原始客户端类。
+            """
             if not issubclass(cls, BaseClient):
                 raise TypeError(f"{cls.__name__} is not a subclass of BaseClient")
-            self.client_registry[client_type] = cls
+            self.register_provider(
+                ClientProviderRegistration(
+                    client_type=client_type,
+                    factory=cls,
+                    builtin=True,
+                )
+            )
             return cls
 
         return decorator
 
+    @staticmethod
+    def _normalize_client_type(client_type: str) -> str:
+        """规范化客户端类型标识。
+
+        Args:
+            client_type: 原始客户端类型标识。
+
+        Returns:
+            str: 去除首尾空白后的客户端类型标识。
+
+        Raises:
+            ValueError: 当客户端类型为空时抛出。
+        """
+        normalized_client_type = str(client_type or "").strip()
+        if not normalized_client_type:
+            raise ValueError("client_type 不能为空")
+        return normalized_client_type
+
+    def register_provider(self, registration: ClientProviderRegistration) -> None:
+        """注册单个客户端类型。
+
+        Args:
+            registration: Provider 注册信息。
+
+        Raises:
+            ValueError: 当客户端类型冲突时抛出。
+        """
+        client_type = self._normalize_client_type(registration.client_type)
+        existing = self.client_registry.get(client_type)
+        if existing is not None and existing.owner_plugin_id != registration.owner_plugin_id:
+            raise ValueError(
+                f"LLM Provider client_type 冲突: {client_type} 已由 {existing.owner_plugin_id or 'host'} 注册"
+            )
+
+        self.client_registry[client_type] = ClientProviderRegistration(
+            client_type=client_type,
+            factory=registration.factory,
+            owner_plugin_id=registration.owner_plugin_id,
+            version=registration.version,
+            description=registration.description,
+            builtin=registration.builtin,
+        )
+        if registration.owner_plugin_id:
+            self._owner_client_types.setdefault(registration.owner_plugin_id, set()).add(client_type)
+        self.clear_client_instance_cache_by_client_type(client_type)
+
+    def validate_plugin_provider_replacement(self, plugin_id: str, client_types: List[str]) -> None:
+        """校验插件 Provider 替换是否会造成运行时冲突。
+
+        Args:
+            plugin_id: 目标插件 ID。
+            client_types: 插件即将注册的客户端类型列表。
+
+        Raises:
+            ValueError: 当客户端类型为空、重复或与其他 owner 冲突时抛出。
+        """
+        normalized_plugin_id = str(plugin_id or "").strip()
+        if not normalized_plugin_id:
+            raise ValueError("plugin_id 不能为空")
+
+        normalized_client_types = [self._normalize_client_type(client_type) for client_type in client_types]
+        duplicate_client_types = sorted(
+            {
+                client_type
+                for client_type in normalized_client_types
+                if normalized_client_types.count(client_type) > 1
+            }
+        )
+        if duplicate_client_types:
+            raise ValueError(f"插件 {normalized_plugin_id} 重复声明 LLM Provider: {', '.join(duplicate_client_types)}")
+
+        for client_type in normalized_client_types:
+            existing = self.client_registry.get(client_type)
+            if existing is None or existing.owner_plugin_id == normalized_plugin_id:
+                continue
+            raise ValueError(
+                f"LLM Provider client_type 冲突: {client_type} 已由 {existing.owner_plugin_id or 'host'} 注册"
+            )
+
+    def replace_plugin_providers(
+        self,
+        plugin_id: str,
+        registrations: List[ClientProviderRegistration],
+    ) -> None:
+        """原子替换一个插件拥有的全部 Provider 注册。
+
+        Args:
+            plugin_id: 目标插件 ID。
+            registrations: 插件当前上报的 Provider 注册列表。
+
+        Raises:
+            ValueError: 当注册信息不合法或存在冲突时抛出。
+        """
+        normalized_plugin_id = str(plugin_id or "").strip()
+        self.validate_plugin_provider_replacement(
+            normalized_plugin_id,
+            [registration.client_type for registration in registrations],
+        )
+        self.unregister_plugin_providers(normalized_plugin_id)
+        for registration in registrations:
+            self.register_provider(
+                ClientProviderRegistration(
+                    client_type=registration.client_type,
+                    factory=registration.factory,
+                    owner_plugin_id=normalized_plugin_id,
+                    version=registration.version,
+                    description=registration.description,
+                    builtin=False,
+                )
+            )
+
+    def unregister_plugin_providers(self, plugin_id: str) -> int:
+        """注销一个插件拥有的全部 Provider 注册。
+
+        Args:
+            plugin_id: 目标插件 ID。
+
+        Returns:
+            int: 被注销的客户端类型数量。
+        """
+        normalized_plugin_id = str(plugin_id or "").strip()
+        if not normalized_plugin_id:
+            return 0
+
+        client_types = self._owner_client_types.pop(normalized_plugin_id, set())
+        removed_count = 0
+        for client_type in client_types:
+            registration = self.client_registry.get(client_type)
+            if registration is None or registration.owner_plugin_id != normalized_plugin_id:
+                continue
+            self.client_registry.pop(client_type, None)
+            self.clear_client_instance_cache_by_client_type(client_type)
+            removed_count += 1
+        return removed_count
+
+    def clear_client_instance_cache_by_client_type(self, client_type: str) -> None:
+        """清理指定客户端类型对应的客户端实例缓存。
+
+        Args:
+            client_type: 需要清理缓存的客户端类型。
+        """
+        normalized_client_type = str(client_type or "").strip()
+        if not normalized_client_type:
+            return
+
+        stale_provider_names = [
+            provider_name
+            for provider_name, client in self.client_instance_cache.items()
+            if client.api_provider.client_type == normalized_client_type
+        ]
+        for provider_name in stale_provider_names:
+            self.client_instance_cache.pop(provider_name, None)
+
     def get_client_class_instance(self, api_provider: APIProvider, force_new: bool = False) -> BaseClient:
         """获取注册的 API 客户端实例。
 
@@ -249,15 +445,14 @@ class ClientRegistry:
 
         # 如果强制创建新实例，直接创建不使用缓存
         if force_new:
-            if client_class := self.client_registry.get(api_provider.client_type):
-                return client_class(api_provider)
-            else:
-                raise KeyError(f"'{api_provider.client_type}' 类型的 Client 未注册")
+            if registration := self.client_registry.get(api_provider.client_type):
+                return registration.factory(api_provider)
+            raise KeyError(f"'{api_provider.client_type}' 类型的 Client 未注册")
 
         # 正常的缓存逻辑
         if api_provider.name not in self.client_instance_cache:
-            if client_class := self.client_registry.get(api_provider.client_type):
-                self.client_instance_cache[api_provider.name] = client_class(api_provider)
+            if registration := self.client_registry.get(api_provider.client_type):
+                self.client_instance_cache[api_provider.name] = registration.factory(api_provider)
             else:
                 raise KeyError(f"'{api_provider.client_type}' 类型的 Client 未注册")
         return self.client_instance_cache[api_provider.name]

src/llm_models/model_client/plugin_client.py

@@ -0,0 +1,191 @@
+from typing import Any, Dict, List
+
+from src.config.model_configs import APIProvider
+from src.llm_models.exceptions import RespParseException
+from src.llm_models.model_client.base_client import (
+    APIResponse,
+    AudioTranscriptionRequest,
+    BaseClient,
+    EmbeddingRequest,
+    ResponseRequest,
+    UsageRecord,
+)
+from src.llm_models.request_snapshot import (
+    deserialize_tool_calls_snapshot,
+    serialize_audio_request_snapshot,
+    serialize_embedding_request_snapshot,
+    serialize_response_request_snapshot,
+)
+
+
+class PluginLLMClient(BaseClient):
+    """通过插件 Runner RPC 调用第三方 LLM Provider 的客户端代理。"""
+
+    def __init__(
+        self,
+        api_provider: APIProvider,
+        supervisor: Any,
+        plugin_id: str,
+        client_type: str,
+    ) -> None:
+        """初始化插件 LLM Provider 客户端代理。
+
+        Args:
+            api_provider: 当前 API Provider 配置。
+            supervisor: 拥有目标插件的 Supervisor。
+            plugin_id: 目标插件 ID。
+            client_type: 目标客户端类型。
+        """
+        super().__init__(api_provider)
+        self._supervisor = supervisor
+        self._plugin_id = plugin_id
+        self._client_type = client_type
+
+    async def get_response(self, request: ResponseRequest) -> APIResponse:
+        """获取对话响应。
+
+        Args:
+            request: 统一响应请求对象。
+
+        Returns:
+            APIResponse: 统一响应对象。
+
+        Raises:
+            RespParseException: 插件返回内容无法转换为统一响应时抛出。
+        """
+        if request.stream_response_handler is not None or request.async_response_parser is not None:
+            raise RespParseException(message="插件 LLM Provider 暂不支持 Host 侧自定义流式处理器或响应解析器")
+        payload = serialize_response_request_snapshot(request)
+        result = await self._invoke_provider("response", payload)
+        return self._build_api_response(result, request.model_info.name, request.model_info.api_provider)
+
+    async def get_embedding(self, request: EmbeddingRequest) -> APIResponse:
+        """获取文本嵌入。
+
+        Args:
+            request: 统一嵌入请求对象。
+
+        Returns:
+            APIResponse: 嵌入响应。
+        """
+        result = await self._invoke_provider("embedding", serialize_embedding_request_snapshot(request))
+        return self._build_api_response(result, request.model_info.name, request.model_info.api_provider)
+
+    async def get_audio_transcriptions(self, request: AudioTranscriptionRequest) -> APIResponse:
+        """获取音频转录。
+
+        Args:
+            request: 统一音频转录请求对象。
+
+        Returns:
+            APIResponse: 音频转录响应。
+        """
+        result = await self._invoke_provider("audio_transcription", serialize_audio_request_snapshot(request))
+        return self._build_api_response(result, request.model_info.name, request.model_info.api_provider)
+
+    def get_support_image_formats(self) -> List[str]:
+        """获取支持的图片格式。
+
+        Returns:
+            List[str]: 插件 Provider 默认接收的图片格式列表。
+        """
+        return ["jpeg", "jpg", "png", "webp"]
+
+    def _build_api_provider_snapshot(self) -> Dict[str, Any]:
+        """构建可传给插件 Provider 的 API Provider 配置快照。
+
+        Returns:
+            Dict[str, Any]: 包含认证信息的 API Provider 配置字典。
+        """
+        return self.api_provider.model_dump(mode="json")
+
+    async def _invoke_provider(self, operation: str, request_payload: Dict[str, Any]) -> Dict[str, Any]:
+        """调用插件 Provider。
+
+        Args:
+            operation: 请求操作类型。
+            request_payload: 已序列化的内部请求。
+
+        Returns:
+            Dict[str, Any]: 插件返回的响应字典。
+
+        Raises:
+            RespParseException: 插件调用失败或返回格式不合法时抛出。
+        """
+        try:
+            response = await self._supervisor.invoke_llm_provider(
+                plugin_id=self._plugin_id,
+                client_type=self._client_type,
+                operation=operation,
+                request={
+                    **request_payload,
+                    "api_provider": self._build_api_provider_snapshot(),
+                },
+                timeout_ms=max(1000, int(self.api_provider.timeout) * 1000),
+            )
+        except Exception as exc:
+            raise RespParseException(message=f"插件 LLM Provider RPC 调用失败: {exc}") from exc
+        if response.error:
+            raise RespParseException(message=str(response.error.get("message", "插件 LLM Provider 调用失败")))
+
+        payload = response.payload if isinstance(response.payload, dict) else {}
+        success = bool(payload.get("success", False))
+        result = payload.get("result")
+        if not success:
+            raise RespParseException(message=str(result or "插件 LLM Provider 返回失败"))
+        if not isinstance(result, dict):
+            raise RespParseException(message="插件 LLM Provider 返回值必须是字典")
+        return result
+
+    @staticmethod
+    def _build_usage_record(raw_usage: Any, model_name: str, provider_name: str) -> UsageRecord | None:
+        """从插件返回值恢复使用量记录。
+
+        Args:
+            raw_usage: 插件返回的使用量字段。
+            model_name: 当前模型名称。
+            provider_name: 当前 Provider 名称。
+
+        Returns:
+            UsageRecord | None: 可挂载到 APIResponse 的使用量记录；缺失时返回 ``None``。
+        """
+        if not isinstance(raw_usage, dict):
+            return None
+        return UsageRecord(
+            model_name=str(raw_usage.get("model_name") or model_name),
+            provider_name=str(raw_usage.get("provider_name") or provider_name),
+            prompt_tokens=int(raw_usage.get("prompt_tokens") or 0),
+            completion_tokens=int(raw_usage.get("completion_tokens") or 0),
+            total_tokens=int(raw_usage.get("total_tokens") or 0),
+            prompt_cache_hit_tokens=int(raw_usage.get("prompt_cache_hit_tokens") or 0),
+            prompt_cache_miss_tokens=int(raw_usage.get("prompt_cache_miss_tokens") or 0),
+        )
+
+    @staticmethod
+    def _build_api_response(result: Dict[str, Any], model_name: str, provider_name: str) -> APIResponse:
+        """从插件返回值恢复统一 APIResponse。
+
+        Args:
+            result: 插件返回的响应字典。
+            model_name: 当前模型名称。
+            provider_name: 当前 Provider 名称。
+
+        Returns:
+            APIResponse: 统一响应对象。
+        """
+        raw_embedding = result.get("embedding")
+        embedding = [float(item) for item in raw_embedding] if isinstance(raw_embedding, list) else None
+        content = result.get("content")
+        if not isinstance(content, str):
+            content = result.get("response")
+        reasoning_content = result.get("reasoning_content")
+        if not isinstance(reasoning_content, str):
+            reasoning_content = result.get("reasoning")
+        return APIResponse(
+            content=content if isinstance(content, str) else None,
+            reasoning_content=reasoning_content if isinstance(reasoning_content, str) else None,
+            tool_calls=deserialize_tool_calls_snapshot(result.get("tool_calls")) or None,
+            embedding=embedding,
+            usage=PluginLLMClient._build_usage_record(result.get("usage"), model_name, provider_name),
+            raw_data=result.get("raw_data", result),
+        )

src/llm_models/utils_model.py

@@ -1072,3 +1072,65 @@ class TempMethodsLLMUtils:
             if provider.name == provider_name:
                 return provider
         raise ValueError(f"未找到名为 '{provider_name}' 的API提供商")
+
+
+class LLMRequest(LLMOrchestrator):
+    """兼容旧调用方的 LLM 请求入口。
+
+    新代码应优先使用 ``LLMOrchestrator`` 或服务层 ``LLMServiceClient``；
+    该类保留旧版 ``model_set=TaskConfig`` 的构造方式，并在运行时解析
+    对应的最新任务配置名称。
+    """
+
+    def __init__(self, model_set: TaskConfig, request_type: str = "") -> None:
+        """初始化旧版 LLM 请求对象。
+
+        Args:
+            model_set: 旧调用方传入的任务配置对象。
+            request_type: 当前请求的业务类型标识。
+        """
+        self._task_config_name = self._resolve_task_config_name(model_set)
+        super().__init__(task_name=self._task_config_name, request_type=request_type)
+
+    @staticmethod
+    def _build_task_config_signature(task_config: TaskConfig) -> Tuple[Any, ...]:
+        """构造任务配置签名。
+
+        Args:
+            task_config: 任务配置对象。
+
+        Returns:
+            Tuple[Any, ...]: 可用于匹配热重载前后任务配置的签名。
+        """
+        return (
+            tuple(task_config.model_list),
+            task_config.max_tokens,
+            task_config.temperature,
+            task_config.slow_threshold,
+            task_config.selection_strategy,
+        )
+
+    @classmethod
+    def _resolve_task_config_name(cls, model_set: TaskConfig) -> str:
+        """根据旧版 TaskConfig 对象解析任务配置名称。
+
+        Args:
+            model_set: 旧调用方传入的任务配置对象。
+
+        Returns:
+            str: 对应 ``model_task_config`` 下的字段名。
+
+        Raises:
+            ValueError: 未能找到匹配任务配置时抛出。
+        """
+        target_signature = cls._build_task_config_signature(model_set)
+        model_task_config = config_manager.get_model_config().model_task_config
+        for attr_name in dir(model_task_config):
+            if attr_name.startswith("_"):
+                continue
+            attr_value = getattr(model_task_config, attr_name)
+            if not isinstance(attr_value, TaskConfig):
+                continue
+            if attr_value is model_set or cls._build_task_config_signature(attr_value) == target_signature:
+                return attr_name
+        raise ValueError("无法根据旧版 model_set 解析任务配置名称")

src/plugin_runtime/host/supervisor.py

@@ -10,6 +10,8 @@ import sys
 
 from src.common.logger import get_logger
 from src.config.config import config_manager, global_config
+from src.llm_models.model_client.base_client import ClientProviderRegistration, client_registry
+from src.llm_models.model_client.plugin_client import PluginLLMClient
 from src.platform_io import DriverKind, InboundMessageEnvelope, RouteBinding, RouteKey, get_platform_io_manager
 from src.platform_io.drivers import PluginPlatformDriver
 from src.platform_io.route_key_factory import RouteKeyFactory
@@ -30,6 +32,7 @@ from src.plugin_runtime.protocol.envelope import (
     HealthPayload,
     InspectPluginConfigPayload,
     InspectPluginConfigResultPayload,
+    LLMProviderInvokePayload,
     MessageGatewayStateUpdatePayload,
     MessageGatewayStateUpdateResultPayload,
     PROTOCOL_VERSION,
@@ -417,6 +420,38 @@ class PluginRunnerSupervisor:
             timeout_ms=timeout_ms,
         )
 
+    async def invoke_llm_provider(
+        self,
+        plugin_id: str,
+        client_type: str,
+        operation: str,
+        request: Optional[Dict[str, Any]] = None,
+        timeout_ms: int = 30000,
+    ) -> Envelope:
+        """调用插件声明的 LLM Provider。
+
+        Args:
+            plugin_id: 目标插件 ID。
+            client_type: 目标客户端类型。
+            operation: 请求操作类型。
+            request: 已序列化的 LLM 请求。
+            timeout_ms: RPC 超时时间，单位毫秒。
+
+        Returns:
+            Envelope: Runner 返回的响应信封。
+        """
+        payload = LLMProviderInvokePayload(
+            client_type=client_type,
+            operation=operation,
+            request=request or {},
+        )
+        return await self._rpc_server.send_request(
+            "plugin.invoke_llm_provider",
+            plugin_id=plugin_id,
+            payload=payload.model_dump(),
+            timeout_ms=timeout_ms,
+        )
+
     async def invoke_api(
         self,
         plugin_id: str,
@@ -779,6 +814,22 @@ class PluginRunnerSupervisor:
 
         component_declarations = [component.model_dump() for component in payload.components]
         runtime_components, api_components = self._split_component_declarations(component_declarations)
+        try:
+            client_registry.validate_plugin_provider_replacement(
+                payload.plugin_id,
+                [provider.client_type for provider in payload.llm_providers],
+            )
+        except Exception as exc:
+            logger.error(f"插件 {payload.plugin_id} LLM Provider 注册校验失败: {exc}")
+            return envelope.make_error_response(
+                ErrorCode.E_BAD_PAYLOAD.value,
+                str(exc),
+                details={
+                    "plugin_id": payload.plugin_id,
+                    "llm_provider_count": len(payload.llm_providers),
+                },
+            )
+
         try:
             registered_count = self._component_registry.register_plugin_components(
                 payload.plugin_id,
@@ -798,6 +849,24 @@ class PluginRunnerSupervisor:
         self._api_registry.remove_apis_by_plugin(payload.plugin_id)
         registered_api_count = self._api_registry.register_plugin_apis(payload.plugin_id, api_components)
         await self._unregister_all_message_gateway_drivers_for_plugin(payload.plugin_id)
+        client_registry.replace_plugin_providers(
+            payload.plugin_id,
+            [
+                ClientProviderRegistration(
+                    client_type=provider.client_type,
+                    factory=lambda api_provider, provider_client_type=provider.client_type: PluginLLMClient(
+                        api_provider=api_provider,
+                        supervisor=self,
+                        plugin_id=payload.plugin_id,
+                        client_type=provider_client_type,
+                    ),
+                    owner_plugin_id=payload.plugin_id,
+                    version=provider.version,
+                    description=provider.description or provider.name,
+                )
+                for provider in payload.llm_providers
+            ],
+        )
         self._registered_plugins[payload.plugin_id] = payload
         self._message_gateway_states[payload.plugin_id] = {}
 
@@ -810,6 +879,7 @@ class PluginRunnerSupervisor:
                 "message_gateways": len(
                     self._component_registry.get_message_gateways(plugin_id=payload.plugin_id, enabled_only=False)
                 ),
+                "llm_providers": len(payload.llm_providers),
             }
         )
 
@@ -829,6 +899,7 @@ class PluginRunnerSupervisor:
 
         removed_components = self._component_registry.remove_components_by_plugin(payload.plugin_id)
         removed_apis = self._api_registry.remove_apis_by_plugin(payload.plugin_id)
+        removed_llm_providers = client_registry.unregister_plugin_providers(payload.plugin_id)
         self._authorization.revoke_permission_token(payload.plugin_id)
         removed_registration = self._registered_plugins.pop(payload.plugin_id, None) is not None
         await self._unregister_all_message_gateway_drivers_for_plugin(payload.plugin_id)
@@ -841,6 +912,7 @@ class PluginRunnerSupervisor:
                 "reason": payload.reason,
                 "removed_components": removed_components,
                 "removed_apis": removed_apis,
+                "removed_llm_providers": removed_llm_providers,
                 "removed_registration": removed_registration,
             }
         )
@@ -1505,6 +1577,8 @@ class PluginRunnerSupervisor:
 
     def _clear_runner_state(self) -> None:
         """清理当前 Runner 对应的 Host 侧注册状态。"""
+        for plugin_id in list(self._registered_plugins):
+            client_registry.unregister_plugin_providers(plugin_id)
         self._authorization.clear()
         self._api_registry.clear()
         self._component_registry.clear()

src/plugin_runtime/integration.py

@@ -148,6 +148,35 @@ class PluginRuntimeManager(
         validator = ManifestValidator(validate_python_package_dependencies=False)
         return validator.build_plugin_dependency_map(plugin_dirs)
 
+    @classmethod
+    def _discover_llm_provider_conflicts(cls, plugin_dirs: Iterable[Path]) -> Dict[str, str]:
+        """扫描插件 Manifest，发现 LLM Provider client_type 冲突。
+
+        Args:
+            plugin_dirs: 需要扫描的插件根目录集合。
+
+        Returns:
+            Dict[str, str]: 需要阻止加载的插件 ID 与原因映射。
+        """
+        validator = ManifestValidator(validate_python_package_dependencies=False)
+        provider_owners: Dict[str, List[str]] = {}
+        for _plugin_path, manifest in validator.iter_plugin_manifests(plugin_dirs, require_entrypoint=True):
+            for client_type in manifest.llm_provider_client_types:
+                provider_owners.setdefault(client_type, []).append(manifest.id)
+
+        blocked_reasons: Dict[str, str] = {}
+        for client_type, plugin_ids in provider_owners.items():
+            unique_plugin_ids = sorted(set(plugin_ids))
+            if len(unique_plugin_ids) <= 1:
+                continue
+            reason = (
+                f"LLM Provider client_type 冲突: {client_type} 被以下插件重复声明: "
+                f"{', '.join(unique_plugin_ids)}"
+            )
+            for plugin_id in unique_plugin_ids:
+                blocked_reasons[plugin_id] = reason
+        return blocked_reasons
+
     @classmethod
     def _build_group_start_order(
         cls,
@@ -271,7 +300,11 @@ class PluginRuntimeManager(
         """
 
         result = await self._plugin_dependency_pipeline.execute(plugin_dirs)
-        changed_plugin_ids = self._set_blocked_plugin_reasons(result.blocked_plugin_reasons)
+        blocked_plugin_reasons = {
+            **result.blocked_plugin_reasons,
+            **self._discover_llm_provider_conflicts(plugin_dirs),
+        }
+        changed_plugin_ids = self._set_blocked_plugin_reasons(blocked_plugin_reasons)
         return DependencySyncState(
             blocked_changed_plugin_ids=changed_plugin_ids,
             environment_changed=result.environment_changed,

src/plugin_runtime/protocol/envelope.py

@@ -199,6 +199,21 @@ class ComponentDeclaration(BaseModel):
     """组件元数据"""
 
 
+class LLMProviderDeclaration(BaseModel):
+    """单个 LLM Provider 声明。"""
+
+    client_type: str = Field(description="客户端类型标识，对应模型配置中的 api_providers[].client_type")
+    """客户端类型标识。"""
+    name: str = Field(default="", description="Provider 展示名称")
+    """Provider 展示名称。"""
+    description: str = Field(default="", description="Provider 描述")
+    """Provider 描述。"""
+    version: str = Field(default="1.0.0", description="Provider 实现版本")
+    """Provider 实现版本。"""
+    metadata: Dict[str, Any] = Field(default_factory=dict, description="Provider 元数据")
+    """Provider 元数据。"""
+
+
 class RegisterPluginPayload(BaseModel):
     """插件组件注册请求载荷。
 
@@ -212,6 +227,8 @@ class RegisterPluginPayload(BaseModel):
     """插件版本"""
     components: List[ComponentDeclaration] = Field(default_factory=list, description="组件列表")
     """组件列表"""
+    llm_providers: List[LLMProviderDeclaration] = Field(default_factory=list, description="LLM Provider 声明列表")
+    """LLM Provider 声明列表。"""
     capabilities_required: List[str] = Field(default_factory=list, description="所需能力列表")
     """所需能力列表"""
     dependencies: List[str] = Field(default_factory=list, description="插件级依赖插件 ID 列表")
@@ -254,6 +271,17 @@ class InvokeResultPayload(BaseModel):
     """返回值"""
 
 
+class LLMProviderInvokePayload(BaseModel):
+    """plugin.invoke_llm_provider 请求 payload。"""
+
+    client_type: str = Field(description="目标 LLM Provider 客户端类型")
+    """目标 LLM Provider 客户端类型。"""
+    operation: str = Field(description="请求操作类型")
+    """请求操作类型，如 response、embedding、audio_transcription。"""
+    request: Dict[str, Any] = Field(default_factory=dict, description="已序列化的 LLM 请求")
+    """已序列化的 LLM 请求。"""
+
+
 # ====== 能力调用消息 ======
 class CapabilityRequestPayload(BaseModel):
     """cap.* 请求 payload（插件 -> Host 能力调用）"""

src/plugin_runtime/runner/manifest_validator.py

@@ -7,7 +7,7 @@
 from functools import lru_cache
 from importlib import metadata as importlib_metadata
 from pathlib import Path
-from typing import Annotated, Any, Dict, Iterable, List, Literal, Optional, Tuple, Union
+from typing import Annotated, Any, Dict, Iterable, List, Literal, Optional, Set, Tuple, Union
 
 import json
 import re
@@ -453,6 +453,38 @@ class PythonPackageDependencyDefinition(_StrictManifestModel):
         return value
 
 
+class LLMProviderManifestDeclaration(_StrictManifestModel):
+    """插件 Manifest 中声明的 LLM Provider。"""
+
+    client_type: str = Field(description="客户端类型标识，对应模型配置中的 api_providers[].client_type")
+    """客户端类型标识。"""
+    name: str = Field(default="", description="Provider 展示名称")
+    """Provider 展示名称。"""
+    description: str = Field(default="", description="Provider 描述")
+    """Provider 描述。"""
+    version: str = Field(default="1.0.0", description="Provider 实现版本")
+    """Provider 实现版本。"""
+
+    @field_validator("client_type")
+    @classmethod
+    def _validate_client_type(cls, value: str) -> str:
+        """校验客户端类型标识。
+
+        Args:
+            value: 原始客户端类型标识。
+
+        Returns:
+            str: 合法的客户端类型标识。
+
+        Raises:
+            ValueError: 当客户端类型为空时抛出。
+        """
+        normalized_value = str(value or "").strip()
+        if not normalized_value:
+            raise ValueError("client_type 不能为空")
+        return normalized_value
+
+
 ManifestDependencyDefinition = Annotated[
     Union[PluginDependencyDefinition, PythonPackageDependencyDefinition],
     Field(discriminator="type"),
@@ -472,6 +504,10 @@ class PluginManifest(_StrictManifestModel):
     host_application: ManifestVersionRange = Field(description="Host 兼容区间")
     sdk: ManifestVersionRange = Field(description="SDK 兼容区间")
     dependencies: List[ManifestDependencyDefinition] = Field(default_factory=list, description="依赖声明")
+    llm_providers: List[LLMProviderManifestDeclaration] = Field(
+        default_factory=list,
+        description="插件静态声明的 LLM Provider 列表",
+    )
     capabilities: List[str] = Field(description="插件声明的能力请求")
     i18n: ManifestI18n = Field(description="国际化配置")
     id: str = Field(description="稳定插件 ID")
@@ -567,6 +603,23 @@ class PluginManifest(_StrictManifestModel):
 
         return self
 
+    @model_validator(mode="after")
+    def _validate_llm_providers(self) -> "PluginManifest":
+        """校验 LLM Provider 静态声明集合。
+
+        Returns:
+            PluginManifest: 当前对象本身。
+
+        Raises:
+            ValueError: 当同一 Manifest 内重复声明 client_type 时抛出。
+        """
+        client_types: Set[str] = set()
+        for provider in self.llm_providers:
+            if provider.client_type in client_types:
+                raise ValueError(f"存在重复的 LLM Provider 声明: {provider.client_type}")
+            client_types.add(provider.client_type)
+        return self
+
     @property
     def plugin_dependencies(self) -> List[PluginDependencyDefinition]:
         """返回插件级依赖列表。
@@ -598,6 +651,15 @@ class PluginManifest(_StrictManifestModel):
         """
         return [dependency.id for dependency in self.plugin_dependencies]
 
+    @property
+    def llm_provider_client_types(self) -> List[str]:
+        """返回 Manifest 静态声明的 LLM Provider client_type 列表。
+
+        Returns:
+            List[str]: 当前插件声明的 LLM Provider client_type。
+        """
+        return [provider.client_type for provider in self.llm_providers]
+
 
 class ManifestValidator:
     """严格的插件 Manifest v2 校验器。"""

src/plugin_runtime/runner/plugin_loader.py

@@ -54,6 +54,7 @@ class PluginMeta:
         self.capabilities_required = list(manifest.capabilities)
         self.dependencies: List[str] = list(manifest.plugin_dependency_ids)
         self.component_handlers: Dict[str, str] = {}
+        self.llm_provider_handlers: Dict[str, str] = {}
 
 
 class PluginLoader:

src/plugin_runtime/runner/runner_main.py

@@ -48,6 +48,8 @@ from src.plugin_runtime.protocol.envelope import (
     InspectPluginConfigResultPayload,
     InvokePayload,
     InvokeResultPayload,
+    LLMProviderDeclaration,
+    LLMProviderInvokePayload,
     RegisterPluginPayload,
     ReloadPluginPayload,
     ReloadPluginResultPayload,
@@ -891,6 +893,7 @@ class PluginRunner:
         self._rpc_client.register_method("plugin.invoke_api", self._handle_invoke)
         self._rpc_client.register_method("plugin.invoke_tool", self._handle_invoke)
         self._rpc_client.register_method("plugin.invoke_message_gateway", self._handle_invoke)
+        self._rpc_client.register_method("plugin.invoke_llm_provider", self._handle_llm_provider_invoke)
         self._rpc_client.register_method("plugin.emit_event", self._handle_event_invoke)
         self._rpc_client.register_method("plugin.invoke_hook", self._handle_hook_invoke)
         self._rpc_client.register_method("plugin.health", self._handle_health)
@@ -980,6 +983,7 @@ class PluginRunner:
         """
         # 收集插件组件声明
         components: List[ComponentDeclaration] = []
+        llm_providers: List[LLMProviderDeclaration] = []
         config_reload_subscriptions: List[str] = []
         instance = meta.instance
 
@@ -1016,11 +1020,43 @@ class PluginRunner:
                 )
         if hasattr(instance, "get_config_reload_subscriptions"):
             config_reload_subscriptions = list(instance.get_config_reload_subscriptions())
+        if hasattr(instance, "get_llm_providers"):
+            meta.llm_provider_handlers.clear()
+            for provider_info in instance.get_llm_providers():
+                if not isinstance(provider_info, dict):
+                    continue
+
+                client_type = str(provider_info.get("client_type", "") or "").strip()
+                raw_metadata = provider_info.get("metadata", {})
+                provider_metadata = raw_metadata if isinstance(raw_metadata, dict) else {}
+                if client_type:
+                    handler_name = str(provider_metadata.get("handler_name", client_type) or client_type).strip()
+                    meta.llm_provider_handlers[client_type] = handler_name or client_type
+
+                llm_providers.append(
+                    LLMProviderDeclaration(
+                        client_type=client_type,
+                        name=str(provider_info.get("name", "") or "").strip(),
+                        description=str(provider_info.get("description", "") or "").strip(),
+                        version=str(provider_info.get("version", "1.0.0") or "1.0.0").strip() or "1.0.0",
+                        metadata=provider_metadata,
+                    )
+                )
+
+        declared_client_types = sorted(meta.manifest.llm_provider_client_types)
+        registered_client_types = sorted(provider.client_type for provider in llm_providers)
+        if declared_client_types != registered_client_types:
+            logger.error(
+                f"插件 {meta.plugin_id} LLM Provider 声明不一致: "
+                f"manifest={declared_client_types}, code={registered_client_types}"
+            )
+            return False
 
         reg_payload = RegisterPluginPayload(
             plugin_id=meta.plugin_id,
             plugin_version=meta.version,
             components=components,
+            llm_providers=llm_providers,
             capabilities_required=meta.capabilities_required,
             dependencies=meta.dependencies,
             config_reload_subscriptions=config_reload_subscriptions,
@@ -1629,6 +1665,50 @@ class PluginRunner:
             resp_payload = InvokeResultPayload(success=False, result=str(e))
             return envelope.make_response(payload=resp_payload.model_dump())
 
+    async def _handle_llm_provider_invoke(self, envelope: Envelope) -> Envelope:
+        """处理 LLM Provider 调用请求。
+
+        Args:
+            envelope: RPC 请求信封。
+
+        Returns:
+            Envelope: 标准化后的 Provider 调用结果。
+        """
+        try:
+            invoke = LLMProviderInvokePayload.model_validate(envelope.payload)
+        except Exception as exc:
+            return envelope.make_error_response(ErrorCode.E_BAD_PAYLOAD.value, str(exc))
+
+        plugin_id = envelope.plugin_id
+        meta = self._loader.get_plugin(plugin_id)
+        if meta is None:
+            return envelope.make_error_response(
+                ErrorCode.E_PLUGIN_NOT_FOUND.value,
+                f"插件 {plugin_id} 未加载",
+            )
+
+        handler_name = meta.llm_provider_handlers.get(invoke.client_type, "")
+        handler_method = getattr(meta.instance, handler_name, None) if handler_name else None
+        if handler_method is None or not callable(handler_method):
+            return envelope.make_error_response(
+                ErrorCode.E_METHOD_NOT_ALLOWED.value,
+                f"插件 {plugin_id} 未注册 LLM Provider: {invoke.client_type}",
+            )
+
+        try:
+            result = handler_method(operation=invoke.operation, request=invoke.request)
+            if inspect.isawaitable(result):
+                result = await result
+            resp_payload = InvokeResultPayload(success=True, result=result)
+            return envelope.make_response(payload=resp_payload.model_dump())
+        except Exception as exc:
+            logger.error(
+                f"插件 {plugin_id} LLM Provider {invoke.client_type} 执行异常: {exc}",
+                exc_info=True,
+            )
+            resp_payload = InvokeResultPayload(success=False, result=str(exc))
+            return envelope.make_response(payload=resp_payload.model_dump())
+
     async def _handle_event_invoke(self, envelope: Envelope) -> Envelope:
         """处理 EventHandler 调用请求