562 lines
26 KiB
Python
562 lines
26 KiB
Python
import os
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import sys
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import importlib.util
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import uuid
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import shutil
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from colorama import init, Fore, Style
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from .constants import (
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DEFAULT_MAX_HISTORY, WEBSOCKET_AVAILABLE, CLAWLI_SERVER_AVAILABLE,
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UNIFIED_TOOL_MANAGER_AVAILABLE, TEXTUAL_AVAILABLE,
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)
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from .config import get_system_config, set_system_config, logger
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from .verbose import vprint
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from .plugin_manager import LiuginManager
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from .process_protection import get_protection, enable_process_protection
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# 可选导入
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try:
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import clawli_server
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except ImportError:
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clawli_server = None
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try:
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from unified_tool_manager import UnifiedToolManager
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except ImportError:
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UnifiedToolManager = None
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class BaseAICLI:
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"""AI CLI 基类 - 初始化、引擎/插件加载、资源管理"""
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def __init__(self):
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# 初始化colorama
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init(autoreset=True)
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# 初始化进程保护（单实例 + 优先级 + PPL保护 + 看门狗）
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self.protection_results = enable_process_protection(
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priority_level="above_normal",
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watchdog=True,
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restart_on_crash=False,
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)
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self._protection = get_protection()
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# 确保插件管理器使用正确的路径
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project_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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liugins_dir = os.path.join(project_dir, "plugins")
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skills_dir = os.path.join(project_dir, "skills")
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# 使用统一工具管理器（支持 Liugin 和 Skill 双协议）
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if UNIFIED_TOOL_MANAGER_AVAILABLE:
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self.liugin_manager = UnifiedToolManager(self)
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self._use_unified_manager = True
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else:
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self.liugin_manager = LiuginManager(liugins_dir)
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self._use_unified_manager = False
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# 初始化引擎字典（先初始化为空字典）
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self.engines = {}
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# 初始化插件命令注册表
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self.liugin_commands = {}
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# 初始化系统引擎命令注册表
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self.engine_commands = {}
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# 注册默认的引擎命令
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self._register_engine_commands()
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# 动态加载AI引擎插件
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self.load_ai_engines()
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# 从配置文件获取默认引擎设置
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default_engine_name = self._get_default_engine_name()
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# 设置默认引擎，优先使用配置文件指定的引擎
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if default_engine_name in self.engines:
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self.current_engine = self.engines[default_engine_name]
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vprint(f"{Fore.GREEN}使用配置的默认AI引擎: {default_engine_name}{Style.RESET_ALL}")
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elif self.engines:
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first_engine_name = next(iter(self.engines))
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self.current_engine = self.engines[first_engine_name]
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vprint(f"{Fore.GREEN}使用默认AI引擎: {first_engine_name}{Style.RESET_ALL}")
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else:
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print(f"{Fore.RED}警告: 没有可用的AI引擎，请检查ai_engines目录{Style.RESET_ALL}")
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self.current_engine = None
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if self.current_engine:
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self.current_engine.cli = self # 设置引用以便访问插件
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# 记录当前模型（openai 引擎注册表名，其它引擎取 model 值）
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try:
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self.current_model = self.current_engine.current_model_name()
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except Exception:
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self.current_model = getattr(self.current_engine, 'model', None)
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else:
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self.current_model = None
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# 初始化安全层
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from .safety import get_safety
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get_safety().set_cli(self)
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# 创建聊天记录目录
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self.chat_history_dir = os.path.join(project_dir, "chat_history")
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if not os.path.exists(self.chat_history_dir):
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os.makedirs(self.chat_history_dir)
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# 初始化会话管理器（opencode 式 /resume 持久化）
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self.init_session_manager()
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# Plan 模式状态（只读规划 → 审批 → 执行）
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self.plan_mode = False
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self.current_plan = ""
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# Agents 管理器（opencode 式 @委派，加载 agents/ 目录下的 *.md）
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self.agent_manager = None
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try:
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from .agent_manager import AgentManager
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self.agent_manager = AgentManager()
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agents_dir = os.path.join(project_dir, "agents")
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os.makedirs(agents_dir, exist_ok=True)
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self.agent_manager.load_dir(agents_dir)
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except Exception:
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self.agent_manager = None
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# 获取 skills 目录路径
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skills_dir = os.path.join(project_dir, "skills")
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self.load_liugins(liugins_dir, skills_dir)
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# 初始化共享对话历史
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self.shared_conversation_history = []
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# 设置最大历史记录数
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self.max_history = DEFAULT_MAX_HISTORY
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# 为所有已加载的引擎设置共享对话历史
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self._set_shared_conversation_history()
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# 初始化代码执行相关功能
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self.code_execution_enabled = True
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self.code_execution_timeout = 30 # 默认超时30秒
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self.code_execution_memory_limit = 128 * 1024 * 1024 # 128MB内存限制
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self.code_execution_whitelist = [
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'json', 'math', 'datetime', 'random', 'collections',
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'itertools', 'functools', 'operator', 'typing', 're'
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]
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self.code_execution_history = []
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self.liugin_code_requests = {}
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self.user_input_queue = {}
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self.is_clawli_mode = False # Clawli 远程模式标志
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self._clawli_monitor_thread = None
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self._clawli_monitor_running = False
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# TUI 输出回调（用于 TUI 模式下的实时输出）
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self.tui_output_callback = None
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# 初始化用户ID（基于机器硬件动态生成）
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self.user_id = str(uuid.getnode())
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# ── 资源清理 ──
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def cleanup_resources(self):
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"""清理资源，确保在程序退出时正确关闭所有资源"""
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print(f"{Fore.YELLOW}正在清理资源...{Style.RESET_ALL}")
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# 清理进程保护
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if hasattr(self, '_protection') and self._protection:
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try:
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self._protection.disable_all()
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except Exception:
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pass
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self._stop_clawli_monitor()
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if CLAWLI_SERVER_AVAILABLE and clawli_server:
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clawli_server.stop_server()
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print(f"{Fore.GREEN}资源清理完成{Style.RESET_ALL}")
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def __del__(self):
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"""析构函数，确保资源被清理"""
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self.cleanup_resources()
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# ── 引擎管理 ──
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def _get_default_engine_name(self):
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"""从配置文件获取默认引擎名称"""
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try:
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default_engine = get_system_config('default_engine')
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if default_engine:
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return default_engine
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return 'ollama'
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except Exception as e:
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print(f"{Fore.YELLOW}读取引擎配置失败，使用默认引擎: {e}{Style.RESET_ALL}")
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return 'ollama'
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def load_ai_engines(self):
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"""动态加载AI引擎插件"""
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vprint(f"{Fore.GREEN}正在加载AI引擎插件...{Style.RESET_ALL}")
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ai_engines_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "ai_engines")
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if os.path.exists(ai_engines_dir):
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for filename in os.listdir(ai_engines_dir):
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if filename.endswith('.py') and filename != '__init__.py':
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engine_path = os.path.join(ai_engines_dir, filename)
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engine_name = filename[:-3]
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try:
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spec = importlib.util.spec_from_file_location(engine_name, engine_path)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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class_name = self._find_engine_class(module, engine_name)
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if class_name and hasattr(module, class_name):
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engine_instance = getattr(module, class_name)()
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engine_instance.cli = self
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engine_key = getattr(engine_instance, 'name', engine_name)
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if engine_key not in self.engines:
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self.engines[engine_key] = engine_instance
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vprint(f"{Fore.GREEN}已加载AI引擎: {engine_key} ({class_name}){Style.RESET_ALL}")
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else:
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print(f"{Fore.YELLOW}AI引擎 {engine_key} 已存在，跳过加载{Style.RESET_ALL}")
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else:
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print(f"{Fore.YELLOW}AI引擎插件 {filename} 中未找到合适的引擎类{Style.RESET_ALL}")
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except (ImportError, AttributeError, TypeError) as e:
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logger.error(f"加载AI引擎插件失败 {filename}: {e}")
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print(f"{Fore.RED}加载AI引擎插件失败 {filename}: {e}{Style.RESET_ALL}")
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except FileNotFoundError as e:
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logger.error(f"AI引擎liugin文件未找到 {filename}: {e}")
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print(f"{Fore.RED}AI引擎liugin文件未找到 {filename}: {e}{Style.RESET_ALL}")
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except Exception as e:
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logger.error(f"加载AI引擎插件时发生未知错误 {filename}: {e}")
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print(f"{Fore.RED}加载AI引擎插件失败 {filename}: {e}{Style.RESET_ALL}")
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vprint(f"{Fore.GREEN}总共加载了 {len(self.engines)} 个AI引擎{Style.RESET_ALL}")
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def _find_engine_class(self, module, engine_name):
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"""查找AI引擎类，使用动态方式避免硬编码类名"""
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possible_names = [
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engine_name.capitalize() + "AI",
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engine_name.replace('_', '').replace('-', '').capitalize() + "AI",
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engine_name.replace('_', '').capitalize() + "AI",
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engine_name.replace('_engine', '').capitalize() + "AI",
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engine_name.replace('-', '').replace('_', '').capitalize() + "AI",
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engine_name.replace('-', '').capitalize() + "AI",
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''.join(word.capitalize() for word in engine_name.replace('-', ' ').replace('_', ' ').split()) + "AI",
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''.join(word.capitalize() for word in engine_name.replace('_engine', '').replace('-', ' ').replace('_', ' ').split()) + "AI",
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]
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for name in possible_names:
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if hasattr(module, name):
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return name
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for attr_name in dir(module):
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attr = getattr(module, attr_name)
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if (hasattr(attr, '__class__') and
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isinstance(attr, type) and
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attr_name.endswith('AI') and
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hasattr(attr, 'generate_response')):
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return attr_name
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return None
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def load_liugins(self, liugins_dir=None, skills_dir=None):
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"""加载liugin和技能"""
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vprint(f"{Fore.GREEN}正在加载工具...{Style.RESET_ALL}")
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if self._use_unified_manager:
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self.liugin_manager.initialize(liugins_dir or "plugins", skills_dir or "skills")
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else:
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self.liugin_manager.tools = []
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enabled_liugins = self.liugin_manager.get_enabled_liugins()
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plugins_path = liugins_dir or self.liugin_manager.liugins_dir
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if os.path.exists(plugins_path):
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for filename in os.listdir(plugins_path):
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if filename.endswith('.py') and filename != '__init__.py':
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liugin_name = filename[:-3]
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if enabled_liugins is not None and liugin_name.lower() not in enabled_liugins:
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print(f"{Fore.YELLOW}跳过liugin: {liugin_name} (未启用){Style.RESET_ALL}")
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continue
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plugin_path = os.path.join(plugins_path, filename)
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try:
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spec = importlib.util.spec_from_file_location(liugin_name, plugin_path)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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plugin_class = getattr(module, 'Liugin', None) or getattr(module, 'Plugin', None)
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if plugin_class:
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plugin_instance = plugin_class()
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if hasattr(plugin_instance, 'set_cli'):
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plugin_instance.set_cli(self)
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tool_info = plugin_instance.get_tool_info()
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tool_info['handler'] = plugin_instance.handle
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self.liugin_manager.tools.append(tool_info)
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vprint(f"{Fore.GREEN}已加载liugin: {liugin_name}{Style.RESET_ALL}")
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except Exception as e:
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print(f"{Fore.RED}加载liugin失败 {filename}: {e}{Style.RESET_ALL}")
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vprint(f"{Fore.GREEN}总共加载了 {len(self.liugin_manager.tools)} 个工具插件{Style.RESET_ALL}")
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vprint(f"{Fore.GREEN}工具加载完成!{Style.RESET_ALL}")
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# ── 命令注册 ──
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def register_liugin_command(self, command, handler):
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"""注册插件命令"""
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self.liugin_commands[command] = handler
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vprint(f"{Fore.GREEN}已注册插件命令: {command}{Style.RESET_ALL}")
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def unregister_liugin_command(self, command):
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"""注销插件命令"""
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if command in self.liugin_commands:
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del self.liugin_commands[command]
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print(f"{Fore.GREEN}已注销插件命令: {command}{Style.RESET_ALL}")
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def _register_engine_commands(self):
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"""注册默认引擎命令"""
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self.engine_commands['list'] = self._handle_engine_list
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self.engine_commands['switch'] = self._handle_engine_switch
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def register_engine_command(self, command, handler):
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"""注册引擎命令"""
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self.engine_commands[command] = handler
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print(f"{Fore.GREEN}已注册引擎命令: {command}{Style.RESET_ALL}")
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def unregister_engine_command(self, command):
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"""注销引擎命令"""
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if command in self.engine_commands:
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del self.engine_commands[command]
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print(f"{Fore.GREEN}已注销引擎命令: {command}{Style.RESET_ALL}")
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def _handle_engine_list(self, args):
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"""处理引擎列表命令"""
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print(f"{Fore.GREEN}可用的AI引擎:{Style.RESET_ALL}")
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for engine_name in self.engines.keys():
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status = " (当前使用)" if engine_name == getattr(self.current_engine, 'name', 'spark') else ""
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print(f"{Fore.GREEN} - {engine_name}{status}{Style.RESET_ALL}")
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def _handle_engine_switch(self, args):
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"""处理引擎切换命令"""
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if args:
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engine_name = args.strip()
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self.switch_engine(engine_name)
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else:
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print(f"{Fore.RED}请提供引擎名称.用法: /engine switch <引擎名>{Style.RESET_ALL}")
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def _get_engine_commands_help(self):
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"""获取引擎命令帮助信息"""
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help_lines = []
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for cmd, handler in self.engine_commands.items():
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if cmd == 'list':
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help_lines.append(f" /engine {cmd:<10} - 查看可用的AI引擎")
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elif cmd == 'switch':
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help_lines.append(f" /engine {cmd:<10} - 切换AI引擎")
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else:
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help_lines.append(f" /engine {cmd:<10} - 执行{cmd}命令")
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return '\n'.join(help_lines) if help_lines else " 无可用引擎管理命令"
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# ── 模型管理（OpenAI 引擎多模型切换）──
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def handle_model_command(self, args):
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"""处理 /model 命令族。仅对 openai 引擎有效。"""
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eng = self.current_engine
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if getattr(eng, 'name', None) != 'openai':
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cur = getattr(eng, 'name', '?')
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print(f"{Fore.RED}模型管理仅适用于 openai 引擎（当前: {cur}）。"
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f"先 /engine switch openai{Style.RESET_ALL}")
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return
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if not args or args == 'list':
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self._model_list(eng)
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return
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parts = args.split(' ', 1)
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cmd = parts[0]
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rest = parts[1].strip() if len(parts) > 1 else ''
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if cmd == 'add':
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self._model_add_interactive(eng)
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elif cmd in ('rm', 'remove', 'del'):
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if not rest:
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print(f"{Fore.RED}用法: /model rm <名称>{Style.RESET_ALL}")
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return
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if eng.remove_model(rest):
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print(f"{Fore.GREEN}已删除模型: {rest}{Style.RESET_ALL}")
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else:
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print(f"{Fore.RED}未找到模型: {rest}{Style.RESET_ALL}")
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elif cmd in ('set', 'switch'):
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self._model_switch(eng, rest)
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else:
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# 无子命令：/model <名称> 视为切换
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self._model_switch(eng, cmd)
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def _model_list(self, eng):
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models, current = eng.list_registry_models()
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if not models:
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print(f"{Fore.YELLOW}尚未配置任何模型，用 /model add 添加{Style.RESET_ALL}")
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return
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print(f"{Fore.GREEN}已配置的 OpenAI 模型:{Style.RESET_ALL}")
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for m in models:
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mark = f"{Fore.CYAN} *{Style.RESET_ALL}" if m.get('name') == current else ""
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print(f" {m.get('name')}{mark} ({m.get('model')} @ {m.get('base_url') or '无 base_url'})")
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print(f"{Fore.CYAN}当前: {current} ｜ /model <名称> 切换 ｜ /model add 新增 ｜ "
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f"/model rm <名称> 删除{Style.RESET_ALL}")
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def _model_switch(self, eng, name):
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if not name:
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print(f"{Fore.RED}用法: /model <名称> 或 /model 查看列表{Style.RESET_ALL}")
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return
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if eng.set_registry_model(name):
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self.current_model = name
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print(f"{Fore.GREEN}已切换到模型: {name}{Style.RESET_ALL}")
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else:
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print(f"{Fore.RED}未找到模型: {name}（/model 查看可用）{Style.RESET_ALL}")
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def _model_add_interactive(self, eng):
|
||
print(f"{Fore.CYAN}添加 OpenAI 模型（回车留空则用默认/为空）{Style.RESET_ALL}")
|
||
try:
|
||
name = input(f"{Fore.CYAN}名称(用于切换, 如 gpt4o): {Style.RESET_ALL}").strip()
|
||
if not name:
|
||
print(f"{Fore.RED}名称不能为空{Style.RESET_ALL}")
|
||
return
|
||
base_url = input(f"{Fore.CYAN}base_url(如 https://api.openai.com/v1): {Style.RESET_ALL}").strip()
|
||
api_key = input(f"{Fore.CYAN}api_key: {Style.RESET_ALL}").strip()
|
||
model = input(f"{Fore.CYAN}model(如 gpt-4o): {Style.RESET_ALL}").strip()
|
||
if not model:
|
||
print(f"{Fore.RED}model 不能为空{Style.RESET_ALL}")
|
||
return
|
||
except (EOFError, KeyboardInterrupt):
|
||
print(f"{Fore.YELLOW}\n已取消添加{Style.RESET_ALL}")
|
||
return
|
||
eng.add_model({"name": name, "base_url": base_url, "api_key": api_key, "model": model})
|
||
eng.set_registry_model(name)
|
||
self.current_model = name
|
||
print(f"{Fore.GREEN}已添加并切换到模型: {name}{Style.RESET_ALL}")
|
||
|
||
# ── Provider 抽象层（opencode 式原生多 Provider）──
|
||
def handle_providers_command(self, args):
|
||
"""处理 /providers 命令：列出已注册 Provider 与配置状态。
|
||
|
||
/providers 列出全部内置 Provider 及是否已配置 key
|
||
/providers <名称> 显示该 Provider 的连接参数（base_url / model / 协议）
|
||
"""
|
||
from xcli_core.provider_router import (
|
||
list_providers, provider_summary, resolve_provider, PROVIDER_PRESETS,
|
||
)
|
||
try:
|
||
cfg = load_config() or {}
|
||
except Exception:
|
||
cfg = {}
|
||
providers_cfg = cfg.get("providers", {}) if isinstance(cfg, dict) else {}
|
||
|
||
if args:
|
||
name = args.split()[0]
|
||
preset = PROVIDER_PRESETS.get(name)
|
||
if not preset:
|
||
print(f"{Fore.RED}未知 Provider: {name}（/providers 查看可用）{Style.RESET_ALL}")
|
||
return
|
||
r = resolve_provider(name, providers_cfg)
|
||
print(f"{Fore.GREEN}Provider: {preset['label']} ({name}){Style.RESET_ALL}")
|
||
print(f" 协议族: {r['protocol']}")
|
||
print(f" base_url: {r['base_url']}")
|
||
print(f" 默认模型: {r['model']}")
|
||
print(f" 已配置 key: {'是' if r['api_key'] else '否'}")
|
||
print(f"{Fore.CYAN}在 config.json 的 providers.{name} 填入 {{api_key, base_url, model}} 即可启用；"
|
||
f"OpenAI 兼容族经现有 openai 引擎直接可用。{Style.RESET_ALL}")
|
||
return
|
||
|
||
print(f"{Fore.GREEN}已注册 Provider（opencode 式多 Provider）:{Style.RESET_ALL}")
|
||
for name in list_providers():
|
||
s = provider_summary(name, providers_cfg)
|
||
if not s:
|
||
continue
|
||
mark = f"{Fore.GREEN}✓ 已配置{Style.RESET_ALL}" if s["configured"] else f"{Fore.YELLOW}· 未配置{Style.RESET_ALL}"
|
||
print(f" {s['name']:<10} {s['label']:<22} [{s['protocol']:<9}] {mark}")
|
||
print(f"{Fore.CYAN}/providers <名称> 查看连接参数 ｜ 在 config.json 的 providers 段填入 key 启用{Style.RESET_ALL}")
|
||
|
||
# ── 引擎切换 ──
|
||
|
||
def get_available_engines(self):
|
||
"""获取可用引擎列表"""
|
||
return list(self.engines.keys())
|
||
|
||
def get_current_engine_name(self):
|
||
"""获取当前引擎名称"""
|
||
return getattr(self.current_engine, 'name', '未设置') if self.current_engine else '未设置'
|
||
|
||
def get_liugin_manager(self):
|
||
"""获取插件管理器"""
|
||
return self.liugin_manager
|
||
|
||
def switch_engine(self, engine_name):
|
||
"""切换AI引擎"""
|
||
if engine_name in self.engines:
|
||
old_engine = self.current_engine
|
||
self.current_engine = self.engines[engine_name]
|
||
|
||
if hasattr(self.current_engine, 'cli'):
|
||
self.current_engine.cli = self
|
||
|
||
if hasattr(self.current_engine, 'shared_conversation_history'):
|
||
self.current_engine.shared_conversation_history = self.shared_conversation_history
|
||
self.current_engine.max_history = self.max_history
|
||
|
||
if old_engine != self.current_engine and self.shared_conversation_history:
|
||
print(f"{Fore.CYAN}已切换到AI引擎: {engine_name}，正在传递对话历史...{Style.RESET_ALL}")
|
||
|
||
context_message = {
|
||
"role": "system",
|
||
"content": f"引擎切换通知：现在由{engine_name}引擎继续之前的对话。以下是之前的对话历史：\n"
|
||
}
|
||
|
||
if self.shared_conversation_history:
|
||
print(f"{Fore.YELLOW}当前对话历史已传递给新引擎:{Style.RESET_ALL}")
|
||
for msg in self.shared_conversation_history[-self.max_history:]:
|
||
if isinstance(msg, dict) and "role" in msg and "content" in msg:
|
||
role = msg["role"]
|
||
content = msg["content"]
|
||
if role == "user":
|
||
print(f"{Fore.CYAN}用户: {content}{Style.RESET_ALL}")
|
||
elif role == "assistant":
|
||
print(f"{Fore.GREEN}AI: {content}{Style.RESET_ALL}")
|
||
elif role == "tool":
|
||
print(f"{Fore.MAGENTA}工具结果: {content}{Style.RESET_ALL}")
|
||
else:
|
||
print(f"{Fore.GREEN}已切换到AI引擎: {engine_name}{Style.RESET_ALL}")
|
||
|
||
try:
|
||
set_system_config('default_engine', engine_name)
|
||
print(f"{Fore.CYAN}已将 {engine_name} 设置为默认引擎{Style.RESET_ALL}")
|
||
except Exception as e:
|
||
print(f"{Fore.YELLOW}警告: 保存默认引擎配置失败: {e}{Style.RESET_ALL}")
|
||
else:
|
||
print(f"{Fore.RED}未找到AI引擎: {engine_name}{Style.RESET_ALL}")
|
||
|
||
def _set_shared_conversation_history(self):
|
||
"""为所有引擎设置共享对话历史"""
|
||
for engine in self.engines.values():
|
||
engine.shared_conversation_history = self.shared_conversation_history
|
||
engine.max_history = self.max_history
|
||
|
||
def handle_engine_command(self, command):
|
||
"""处理引擎特定命令（支持跨引擎调用，如 /engine.manual status）"""
|
||
# 先检查是否指定了引擎名（如 "manual status" → 引擎=manual, 命令=status）
|
||
parts = command.split(' ', 1)
|
||
target_name = parts[0]
|
||
rest = parts[1] if len(parts) > 1 else ""
|
||
|
||
# 如果目标名是某个已加载的引擎，直接调用该引擎
|
||
if target_name in self.engines:
|
||
target_engine = self.engines[target_name]
|
||
if hasattr(target_engine, 'handle_command'):
|
||
return target_engine.handle_command(rest)
|
||
|
||
# 否则当作当前引擎的命令
|
||
if not hasattr(self.current_engine, 'handle_command'):
|
||
return False
|
||
engine_name = getattr(self.current_engine, 'name', '')
|
||
if engine_name and command.startswith(engine_name + ' '):
|
||
actual_command = command[len(engine_name) + 1:].strip()
|
||
return self.current_engine.handle_command(actual_command)
|
||
return self.current_engine.handle_command(command)
|
||
|
||
# ── 插件消息处理 ──
|
||
|
||
def handle_liugin_message(self, message: str, **kwargs) -> str:
|
||
"""处理插件转发的消息（如 QQ 群 @ 消息）"""
|
||
try:
|
||
print(f"{Fore.CYAN}[插件消息] {message[:100]}...{Style.RESET_ALL}")
|
||
|
||
system_prompt = """你是一个智能助手，正在通过 QQ 机器人与用户交流。
|
||
请简洁、友好地回复用户的消息。回复时注意：
|
||
1. 回复要简洁明了，适合 QQ 群聊场景
|
||
2. 不要提及你是 AI 或机器人
|
||
3. 直接回答问题，不要加多余的前缀"""
|
||
|
||
if self.current_engine:
|
||
response = self.current_engine.generate_response(message, system_prompt=system_prompt)
|
||
if response:
|
||
print(f"{Fore.GREEN}[AI 回复] {response[:50]}...{Style.RESET_ALL}")
|
||
return response
|
||
else:
|
||
return "抱歉，我暂时无法回复。"
|
||
else:
|
||
print(f"{Fore.RED}[插件消息] 没有可用的 AI 引擎{Style.RESET_ALL}")
|
||
return "AI 引擎未初始化"
|
||
|
||
except Exception as e:
|
||
print(f"{Fore.RED}[插件消息] 处理失败: {e}{Style.RESET_ALL}")
|
||
return f"处理消息时出错: {e}"
|