JOJO
b7fe5f2b02
Implement workspace-scoped conversation storage with legacy migration based on host workspace metadata, active host workspace state protection, and frontend/backend conversation list scoping. Add proactive recent-conversation prompt support with a configurable personal-space limit, frozen per conversation metadata, empty-conversation filtering, and a dedicated prompt template. Add conversation_search and conversation_review tools with readable formatted results, workspace-only access, current-conversation exclusion, multi-keyword search, list mode, message/tool counts, read/save review modes, long-review fallback to .agents/review, and frontend detail renderers. Move internal workspace artifacts under .agents, update upload/skills/compact/review paths, show .agents internal directories in prompt file trees, and adjust versioning ignores. Add create_skill and a Skills tool category, move read_skill into that category, validate and archive skill folders, support host global skills and Docker/API private skills, and sync private skills into .agents/skills and prompts. Update memory stamping with conversation/time source metadata and include frontend icon/status/display updates plus tests for workspace conversation storage and skills management.
1116 lines
68 KiB
Python
1116 lines
68 KiB
Python
import asyncio
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import json
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Set
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try:
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from config import (
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OUTPUT_FORMATS, DATA_DIR, PROMPTS_DIR, NEED_CONFIRMATION,
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MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE,
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MAX_READ_FILE_CHARS, READ_TOOL_DEFAULT_MAX_CHARS,
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READ_TOOL_DEFAULT_CONTEXT_BEFORE, READ_TOOL_DEFAULT_CONTEXT_AFTER,
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READ_TOOL_MAX_CONTEXT_BEFORE, READ_TOOL_MAX_CONTEXT_AFTER,
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READ_TOOL_DEFAULT_MAX_MATCHES, READ_TOOL_MAX_MATCHES,
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READ_TOOL_MAX_FILE_SIZE,
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TERMINAL_SANDBOX_MOUNT_PATH,
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TERMINAL_SANDBOX_MODE,
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TERMINAL_SANDBOX_CPUS,
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TERMINAL_SANDBOX_MEMORY,
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PROJECT_MAX_STORAGE_MB,
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CUSTOM_TOOLS_ENABLED,
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)
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except ImportError:
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import sys
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project_root = Path(__file__).resolve().parents[2]
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if str(project_root) not in sys.path:
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sys.path.insert(0, str(project_root))
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from config import (
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OUTPUT_FORMATS, DATA_DIR, PROMPTS_DIR, NEED_CONFIRMATION,
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MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE,
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MAX_READ_FILE_CHARS, READ_TOOL_DEFAULT_MAX_CHARS,
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READ_TOOL_DEFAULT_CONTEXT_BEFORE, READ_TOOL_DEFAULT_CONTEXT_AFTER,
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READ_TOOL_MAX_CONTEXT_BEFORE, READ_TOOL_MAX_CONTEXT_AFTER,
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READ_TOOL_DEFAULT_MAX_MATCHES, READ_TOOL_MAX_MATCHES,
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READ_TOOL_MAX_FILE_SIZE,
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TERMINAL_SANDBOX_MOUNT_PATH,
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TERMINAL_SANDBOX_MODE,
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TERMINAL_SANDBOX_CPUS,
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TERMINAL_SANDBOX_MEMORY,
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PROJECT_MAX_STORAGE_MB,
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CUSTOM_TOOLS_ENABLED,
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)
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from modules.file_manager import FileManager
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from modules.search_engine import SearchEngine
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from modules.terminal_ops import TerminalOperator
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from modules.memory_manager import MemoryManager
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from modules.terminal_manager import TerminalManager
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from modules.todo_manager import TodoManager
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from modules.sub_agent_manager import SubAgentManager
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from modules.webpage_extractor import extract_webpage_content, tavily_extract
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from modules.ocr_client import OCRClient
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from modules.easter_egg_manager import EasterEggManager
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from modules.personalization_manager import (
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load_personalization_config,
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build_personalization_prompt,
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)
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from modules.skills_manager import (
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get_skills_catalog,
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build_skills_list,
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merge_enabled_skills,
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build_skills_prompt,
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)
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from modules.custom_tool_registry import CustomToolRegistry, build_default_tool_category
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from modules.custom_tool_executor import CustomToolExecutor
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from modules.mcp_server_registry import MCPServerRegistry, build_default_mcp_category
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try:
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from config.limits import THINKING_FAST_INTERVAL
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except ImportError:
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THINKING_FAST_INTERVAL = 10
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from modules.container_monitor import collect_stats, inspect_state
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from core.tool_config import TOOL_CATEGORIES
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from utils.api_client import DeepSeekClient
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from utils.context_manager import ContextManager
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from utils.tool_result_formatter import format_tool_result_for_context
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from utils.logger import setup_logger
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from config.model_profiles import (
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get_model_profile,
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get_model_prompt_replacements,
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get_model_context_window,
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model_supports_image,
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model_supports_video,
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)
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logger = setup_logger(__name__)
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DISABLE_LENGTH_CHECK = True
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class MainTerminalToolsDefinitionMixin:
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@staticmethod
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def _mcp_disabled_message() -> str:
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return "当前为docker模式，MCP仅支持宿主机模式"
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def _is_mcp_disabled_in_docker_mode(self) -> bool:
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session = getattr(self, "container_session", None)
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return bool(session and getattr(session, "mode", None) == "docker")
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def _inject_intent(self, properties: Dict[str, Any]) -> Dict[str, Any]:
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"""在工具参数中注入 intent（简短意图说明），仅当开关启用时。
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字段含义：要求模型用不超过15个中文字符对即将执行的动作做简要说明，供前端展示。
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"""
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if not self.tool_intent_enabled:
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return properties
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if not isinstance(properties, dict):
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return properties
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intent_field = {
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"intent": {
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"type": "string",
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"description": "用不超过15个字向用户说明你要做什么，例如：等待下载完成/创建日志文件"
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}
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}
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# 将 intent 放在最前面以提高模型关注度
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return {**intent_field, **properties}
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def _apply_intent_to_tools(self, tools: List[Dict]) -> List[Dict]:
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"""遍历工具列表，为缺少 intent 的工具补充字段（开关启用时生效）。"""
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if not self.tool_intent_enabled:
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return tools
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intent_field = {
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"intent": {
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"type": "string",
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"description": "用不超过15个字向用户说明你要做什么，例如：等待下载完成/创建日志文件/搜索最新新闻"
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}
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}
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for tool in tools:
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func = tool.get("function") or {}
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tool_name = str(func.get("name") or "").strip()
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# MCP 扩展工具参数需与远端 schema 严格一致，不注入 intent
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if tool_name.startswith("mcp__"):
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continue
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params = func.get("parameters") or {}
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if not isinstance(params, dict):
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continue
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if params.get("type") != "object":
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continue
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props = params.get("properties")
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if not isinstance(props, dict):
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continue
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# 补充 intent 属性
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if "intent" not in props:
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params["properties"] = {**intent_field, **props}
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# 将 intent 加入必填
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required_list = params.get("required")
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if isinstance(required_list, list):
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if "intent" not in required_list:
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required_list.insert(0, "intent")
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params["required"] = required_list
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else:
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params["required"] = ["intent"]
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return tools
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def _build_custom_tools(self) -> List[Dict]:
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if not (self.custom_tools_enabled and getattr(self, "user_role", "user") == "admin"):
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return []
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try:
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definitions = self.custom_tool_registry.reload()
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except Exception:
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definitions = self.custom_tool_registry.list_tools()
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if not definitions:
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# 更新分类为空列表，避免旧缓存
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if "custom" in self.tool_categories_map:
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self.tool_categories_map["custom"].tools = []
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return []
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tools: List[Dict] = []
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tool_ids: List[str] = []
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for item in definitions:
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tool_id = item.get("id")
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if not tool_id:
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continue
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if item.get("invalid_id"):
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# 跳过不合法的工具 ID，避免供应商严格校验时报错
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continue
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tool_ids.append(tool_id)
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params = item.get("parameters") or {"type": "object", "properties": {}}
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if isinstance(params, dict) and params.get("type") != "object":
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params = {"type": "object", "properties": {}}
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required = item.get("required")
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if isinstance(required, list):
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params = dict(params)
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params["required"] = required
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tools.append({
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"type": "function",
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"function": {
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"name": tool_id,
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"description": item.get("description") or f"自定义工具: {tool_id}",
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"parameters": params
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}
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})
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# 覆盖 custom 分类的工具列表
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if "custom" in self.tool_categories_map:
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self.tool_categories_map["custom"].tools = tool_ids
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return tools
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def _build_mcp_tools(self) -> List[Dict]:
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if not getattr(self, "mcp_tools_enabled", False):
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if hasattr(self, "tool_categories_map") and "mcp" in self.tool_categories_map:
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self.tool_categories_map["mcp"].tools = ["list_mcp_servers"]
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stale_keys = [
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key for key in list(getattr(self, "tool_categories_map", {}).keys())
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if isinstance(key, str) and key.startswith("mcp_server__")
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]
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for key in stale_keys:
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self.tool_categories_map.pop(key, None)
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self.tool_category_states.pop(key, None)
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self._refresh_disabled_tools()
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self.mcp_tool_alias_map = {}
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return []
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if self._is_mcp_disabled_in_docker_mode():
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self.mcp_tool_alias_map = {}
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if "mcp" in self.tool_categories_map:
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self.tool_categories_map["mcp"].tools = ["list_mcp_servers"]
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elif getattr(self, "mcp_tools_enabled", False):
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default_mcp_cat = build_default_mcp_category()
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self.tool_categories_map["mcp"] = type(next(iter(TOOL_CATEGORIES.values())))(
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label=default_mcp_cat["label"],
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tools=["list_mcp_servers"],
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default_enabled=True,
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silent_when_disabled=False,
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)
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stale_keys = [
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key for key in list(getattr(self, "tool_categories_map", {}).keys())
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if isinstance(key, str) and key.startswith("mcp_server__")
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]
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for key in stale_keys:
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self.tool_categories_map.pop(key, None)
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self.tool_category_states.pop(key, None)
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self._refresh_disabled_tools()
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return []
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# 类别层面的禁用优先生效（即使策略里尚未填充具体工具列表）
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mcp_cat = getattr(self, "tool_categories_map", {}).get("mcp")
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if mcp_cat is not None:
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mcp_enabled = self.tool_category_states.get("mcp", getattr(mcp_cat, "default_enabled", True))
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forced = getattr(self, "admin_forced_category_states", {}).get("mcp")
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if isinstance(forced, bool):
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mcp_enabled = forced
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if not mcp_enabled:
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self.mcp_tool_alias_map = {}
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self.tool_categories_map["mcp"].tools = ["list_mcp_servers"]
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stale_keys = [
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key for key in list(getattr(self, "tool_categories_map", {}).keys())
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if isinstance(key, str) and key.startswith("mcp_server__")
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]
|
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for key in stale_keys:
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self.tool_categories_map.pop(key, None)
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self.tool_category_states.pop(key, None)
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self._refresh_disabled_tools()
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return []
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manager = getattr(self, "mcp_client_manager", None)
|
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if manager is None:
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self.mcp_tool_alias_map = {}
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return []
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try:
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tool_defs, alias_map = manager.build_openai_tools(
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ensure_discovery=True,
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discovery_timeout_seconds=10,
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||
)
|
||
except Exception as exc:
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logger.warning("构建 MCP 工具列表失败: %s", exc)
|
||
tool_defs, alias_map = [], {}
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||
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||
# 保存映射，供执行层按 alias 分发到具体 server/tool
|
||
alias_map = alias_map or {}
|
||
if "mcp" in self.tool_categories_map:
|
||
self.tool_categories_map["mcp"].tools = ["list_mcp_servers"]
|
||
elif getattr(self, "mcp_tools_enabled", False):
|
||
default_mcp_cat = build_default_mcp_category()
|
||
self.tool_categories_map["mcp"] = type(next(iter(TOOL_CATEGORIES.values())))(
|
||
label=default_mcp_cat["label"],
|
||
tools=["list_mcp_servers"],
|
||
default_enabled=True,
|
||
silent_when_disabled=False,
|
||
)
|
||
server_aliases: Dict[str, List[str]] = {}
|
||
for alias, binding in alias_map.items():
|
||
sid = str(getattr(binding, "server_id", "") or "").strip()
|
||
if not sid:
|
||
continue
|
||
server_aliases.setdefault(sid, []).append(alias)
|
||
|
||
enabled_servers = []
|
||
try:
|
||
enabled_servers = list(self.mcp_server_registry.list_enabled_servers())
|
||
except Exception:
|
||
enabled_servers = []
|
||
|
||
active_server_category_ids = set()
|
||
for server in enabled_servers:
|
||
sid = str(server.get("id") or "").strip()
|
||
if not sid:
|
||
continue
|
||
cat_id = MCPServerRegistry.make_server_category_id(sid)
|
||
active_server_category_ids.add(cat_id)
|
||
aliases = list(server_aliases.get(sid, []))
|
||
existing = self.tool_categories_map.get(cat_id)
|
||
label = MCPServerRegistry.make_server_category_label(server)
|
||
if existing is not None:
|
||
existing.label = label
|
||
existing.tools = aliases
|
||
else:
|
||
self.tool_categories_map[cat_id] = type(next(iter(TOOL_CATEGORIES.values())))(
|
||
label=label,
|
||
tools=aliases,
|
||
default_enabled=True,
|
||
silent_when_disabled=False,
|
||
)
|
||
if cat_id not in self.tool_category_states:
|
||
self.tool_category_states[cat_id] = True
|
||
|
||
stale_keys = [
|
||
key for key in list(self.tool_categories_map.keys())
|
||
if isinstance(key, str)
|
||
and key.startswith("mcp_server__")
|
||
and key not in active_server_category_ids
|
||
]
|
||
for key in stale_keys:
|
||
self.tool_categories_map.pop(key, None)
|
||
self.tool_category_states.pop(key, None)
|
||
|
||
if hasattr(self, "_prune_runtime_tool_overrides"):
|
||
self._prune_runtime_tool_overrides()
|
||
if hasattr(self, "_apply_runtime_tool_overrides"):
|
||
self._apply_runtime_tool_overrides()
|
||
|
||
filtered_tools: List[Dict[str, Any]] = []
|
||
filtered_alias_map: Dict[str, Any] = {}
|
||
for tool_def in tool_defs:
|
||
alias = str(((tool_def or {}).get("function") or {}).get("name") or "").strip()
|
||
if not alias:
|
||
continue
|
||
binding = alias_map.get(alias)
|
||
if binding is None:
|
||
continue
|
||
sid = str(getattr(binding, "server_id", "") or "").strip()
|
||
if not sid:
|
||
continue
|
||
cat_id = MCPServerRegistry.make_server_category_id(sid)
|
||
cat = self.tool_categories_map.get(cat_id)
|
||
cat_enabled = self.tool_category_states.get(
|
||
cat_id,
|
||
getattr(cat, "default_enabled", True) if cat is not None else True,
|
||
)
|
||
forced = getattr(self, "admin_forced_category_states", {}).get(cat_id)
|
||
if isinstance(forced, bool):
|
||
cat_enabled = forced
|
||
if not cat_enabled:
|
||
continue
|
||
filtered_tools.append(tool_def)
|
||
filtered_alias_map[alias] = binding
|
||
|
||
self.mcp_tool_alias_map = filtered_alias_map
|
||
self._refresh_disabled_tools()
|
||
return filtered_tools
|
||
|
||
def define_tools(self) -> List[Dict]:
|
||
"""定义可用工具（添加确认工具）"""
|
||
now = datetime.now()
|
||
current_time = f"{now.year}年{now.month}月{now.day}日 {now.hour}点（24小时制）"
|
||
|
||
tools = [
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "sleep",
|
||
"description": "等待工具。三种模式三选一：1) seconds：短暂延迟；2) wait_sub_agent_ids：等待指定子智能体全部结束并直接返回结果；3) wait_runcommand_id：等待指定后台 run_command 结束并直接返回结果。若同时提供多个等待参数会报错。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"seconds": {
|
||
"type": "number",
|
||
"description": "等待的秒数，可以是小数（如0.2秒）。建议范围：0.1-10秒"
|
||
},
|
||
"wait_sub_agent_ids": {
|
||
"type": "array",
|
||
"items": {"type": "integer"},
|
||
"description": "等待这些子智能体全部结束后返回（可提供一个或多个编号）。"
|
||
},
|
||
"wait_runcommand_id": {
|
||
"type": "string",
|
||
"description": "等待指定后台 run_command 的 command_id 结束后返回。"
|
||
},
|
||
"reason": {
|
||
"type": "string",
|
||
"description": "等待的原因说明（可选）"
|
||
}
|
||
}),
|
||
"required": []
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "write_file",
|
||
"description": "将内容写入本地文件系统；append 为 False 时覆盖原文件，True 时追加到末尾。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"file_path": {
|
||
"type": "string",
|
||
"description": "要写入的相对路径"
|
||
},
|
||
"content": {
|
||
"type": "string",
|
||
"description": "要写入文件的内容"
|
||
},
|
||
"append": {
|
||
"type": "boolean",
|
||
"description": "是否追加到文件而不是覆盖它",
|
||
"default": False
|
||
}
|
||
}),
|
||
"required": ["file_path", "content"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "read_skill",
|
||
"description": "按 skill 名称读取 skills/<name>/SKILL.md 内容；内部等价于 read_file 的 read 模式，并返回解析后的 path。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"skill_name": {
|
||
"type": "string",
|
||
"description": "skill 名称（支持 skill id 或技能名称）"
|
||
}
|
||
}),
|
||
"required": ["skill_name"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "create_skill",
|
||
"description": "验证并归档一个已创建好的 skill 文件夹。当你觉得本次工作的流程、经验或踩坑值得沉淀为 skill，便于以后面对类似问题时高效工作，或用户主动要求“把今天/本次经历转化为 skill”时，应先阅读 skill-creator，按规范创建对应 skill 文件夹与 SKILL.md，再调用本工具验证并归档。source_dir 可为当前工作区相对路径、工作区内绝对路径，宿主机模式也支持电脑上其它位置的绝对路径。验证通过后移动到正式 skills 库；不覆盖已存在 skill。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"source_dir": {
|
||
"type": "string",
|
||
"description": "要归档的 skill 文件夹路径；skill 名称使用该文件夹名称。"
|
||
}
|
||
}),
|
||
"required": ["source_dir"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "read_file",
|
||
"description": "读取/搜索/抽取 UTF-8 文本文件内容。通过 type 参数选择 read（阅读）、search（搜索）、extract（具体行段），支持限制返回字符数。若文件非 UTF-8 或过大，请改用 run_python。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "文件路径"},
|
||
"type": {
|
||
"type": "string",
|
||
"enum": ["read", "search", "extract"],
|
||
"description": "读取模式：read=阅读、search=搜索、extract=按行抽取"
|
||
},
|
||
"max_chars": {
|
||
"type": "integer",
|
||
"description": "返回内容的最大字符数，默认与 config 一致"
|
||
},
|
||
"start_line": {
|
||
"type": "integer",
|
||
"description": "[read] 可选的起始行号（1开始）"
|
||
},
|
||
"end_line": {
|
||
"type": "integer",
|
||
"description": "[read] 可选的结束行号（>=start_line）"
|
||
},
|
||
"query": {
|
||
"type": "string",
|
||
"description": "[search] 搜索关键词"
|
||
},
|
||
"max_matches": {
|
||
"type": "integer",
|
||
"description": "[search] 最多返回多少条命中（默认5，最大50）"
|
||
},
|
||
"context_before": {
|
||
"type": "integer",
|
||
"description": "[search] 命中行向上追加的行数（默认1，最大3）"
|
||
},
|
||
"context_after": {
|
||
"type": "integer",
|
||
"description": "[search] 命中行向下追加的行数（默认1，最大5）"
|
||
},
|
||
"case_sensitive": {
|
||
"type": "boolean",
|
||
"description": "[search] 是否区分大小写，默认 false"
|
||
},
|
||
"segments": {
|
||
"type": "array",
|
||
"description": "[extract] 需要抽取的行区间",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"label": {
|
||
"type": "string",
|
||
"description": "该片段的标签（可选）"
|
||
},
|
||
"start_line": {
|
||
"type": "integer",
|
||
"description": "起始行号（>=1）"
|
||
},
|
||
"end_line": {
|
||
"type": "integer",
|
||
"description": "结束行号（>=start_line）"
|
||
}
|
||
},
|
||
"required": ["start_line", "end_line"]
|
||
},
|
||
"minItems": 1
|
||
}
|
||
}),
|
||
"required": ["path", "type"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "edit_file",
|
||
"description": "在文件中执行精确的字符串替换；建议先使用 read_file 获取最新内容以确保精确匹配。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"file_path": {
|
||
"type": "string",
|
||
"description": "要修改文件的相对路径"
|
||
},
|
||
"old_string": {
|
||
"type": "string",
|
||
"description": "要替换的文本（需与文件内容精确匹配，保留缩进；建议提供至少3行提升定位稳定性。需要批量替换的场景可以单行或不足一行）"
|
||
},
|
||
"new_string": {
|
||
"type": "string",
|
||
"description": "用于替换的新文本（必须不同于 old_string）"
|
||
},
|
||
"replace_all": {
|
||
"type": "boolean",
|
||
"enum": [True, False],
|
||
"description": "是否替换所有匹配内容（必填）。false=仅替换首个匹配，true=替换全部匹配。"
|
||
}
|
||
}),
|
||
"required": ["file_path", "old_string", "new_string", "replace_all"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "vlm_analyze",
|
||
"description": "使用大参数视觉语言模型（Qwen3.5）理解图片：文字、物体、布局、表格等，仅支持本地路径。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "项目内的图片相对路径"},
|
||
"prompt": {"type": "string", "description": "传递给 VLM 的中文提示词，如“请总结这张图的内容”“表格的总金额是多少”“图中是什么车？”。"}
|
||
}),
|
||
"required": ["path", "prompt"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_session",
|
||
"description": "管理持久化终端会话，可打开、关闭、列出或切换终端。请在授权工作区内执行命令，禁止启动需要完整 TTY 的程序（python REPL、vim、top 等）。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"action": {
|
||
"type": "string",
|
||
"enum": ["open", "close", "list", "reset"],
|
||
"description": "操作类型：open-打开新终端，close-关闭终端，list-列出所有终端，reset-重置终端"
|
||
},
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "终端会话名称（open、close、reset时需要）"
|
||
},
|
||
"working_dir": {
|
||
"type": "string",
|
||
"description": "工作目录，相对于项目路径（open时可选）"
|
||
}
|
||
}),
|
||
"required": ["action"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_input",
|
||
"description": "向指定终端发送命令或输入。禁止启动会占用终端界面的程序（python/node/nano/vim 等）；如遇卡死请结合 terminal_snapshot 并使用 terminal_session 的 reset 恢复。output_wait 必填：本次收集/等待输出的最大时长（秒，1-300），不会封装命令、不会强杀进程；在窗口内若检测到命令已完成会提前返回，否则到时返回已产生的输出并保持命令继续运行。需要强制超时终止请使用 run_command。\n用法建议：\n1) 短命令多次执行可设 5-10 秒；\n2) 只需确认启动的长任务（下载/clone/pip/启动服务）可设约 30 秒，运行期间可做其他事情，后续用 terminal_snapshot 判断状态/是否完成；\n3) 必须等待结果再继续的任务（大表/文件批量处理、前端构建、批量测试、压缩/解压、数据导出/统计）设足够覆盖实际执行时间；\n4) 可能长时间无输出的任务（遍历海量文件/转码/打包）短窗口不一定有输出，可适当加长或加完成标记；\n5) 长时间无输出且怀疑卡死时，使用 terminal_session 的 reset 重置终端；\n6) 需要仅发送回车时，可传入一个空格字符作为 command（等效按下 Enter）。\n若不确定上一条命令是否结束，先用 terminal_snapshot 确认后再继续输入。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"command": {
|
||
"type": "string",
|
||
"description": "要执行的命令或发送的输入"
|
||
},
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "目标终端会话名称（必填）"
|
||
},
|
||
"output_wait": {
|
||
"type": "number",
|
||
"description": "等待/收集输出的最大秒数（1-300，必填）；非命令超时，到点即返回已产生输出并保持命令运行"
|
||
}
|
||
}),
|
||
"required": ["command", "output_wait", "session_name"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_snapshot",
|
||
"description": "获取指定终端最近的输出快照，用于判断当前状态。默认返回末尾的50行，可通过参数调整。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "目标终端会话名称（可选，默认活动终端）"
|
||
},
|
||
"lines": {
|
||
"type": "integer",
|
||
"description": "返回的最大行数（可选）"
|
||
},
|
||
"max_chars": {
|
||
"type": "integer",
|
||
"description": "返回的最大字符数（可选）"
|
||
}
|
||
})
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "web_search",
|
||
"description": f"当现有资料不足时搜索外部信息（当前时间 {current_time}）。调用前说明目的，精准撰写 query，并合理设置时间/主题参数；避免重复或无意义的搜索。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"query": {
|
||
"type": "string",
|
||
"description": "搜索查询内容（不要包含日期或时间范围）"
|
||
},
|
||
"max_results": {
|
||
"type": "integer",
|
||
"description": "最大结果数，可选"
|
||
},
|
||
"topic": {
|
||
"type": "string",
|
||
"description": "搜索主题，可选值：general（默认）/news/finance"
|
||
},
|
||
"time_range": {
|
||
"type": "string",
|
||
"description": "相对时间范围，可选 day/week/month/year，支持缩写 d/w/m/y；与 days 和 start_date/end_date 互斥"
|
||
},
|
||
"days": {
|
||
"type": "integer",
|
||
"description": "最近 N 天，仅当 topic=news 时可用；与 time_range、start_date/end_date 互斥"
|
||
},
|
||
"start_date": {
|
||
"type": "string",
|
||
"description": "开始日期，YYYY-MM-DD；必须与 end_date 同时提供，与 time_range、days 互斥"
|
||
},
|
||
"end_date": {
|
||
"type": "string",
|
||
"description": "结束日期，YYYY-MM-DD；必须与 start_date 同时提供，与 time_range、days 互斥"
|
||
},
|
||
"country": {
|
||
"type": "string",
|
||
"description": "国家过滤，仅 topic=general 可用，使用英文小写国名"
|
||
},
|
||
"include_domains": {
|
||
"type": "array",
|
||
"description": "仅包含这些域名（可选，最多300个）",
|
||
"items": {
|
||
"type": "string"
|
||
}
|
||
}
|
||
}),
|
||
"required": ["query"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "extract_webpage",
|
||
"description": "在 web_search 结果不够详细时提取网页正文。调用前说明用途，注意提取内容会消耗大量 token，超过80000字符将被拒绝。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"url": {"type": "string", "description": "要提取内容的网页URL"}
|
||
}),
|
||
"required": ["url"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "save_webpage",
|
||
"description": "提取网页内容并保存为纯文本文件，适合需要长期留存的长文档。请提供网址与目标路径（含 .txt 后缀），落地后请通过终端命令查看。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"url": {"type": "string", "description": "要保存的网页URL"},
|
||
"target_path": {"type": "string", "description": "保存位置，包含文件名，相对于项目根目录"}
|
||
}),
|
||
"required": ["url", "target_path"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "list_mcp_servers",
|
||
"description": "列出当前已配置的 MCP 服务与工具映射（mcp__... 别名）。可选刷新远程 tools/list 缓存后再返回。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"refresh": {
|
||
"type": "boolean",
|
||
"description": "是否先同步 MCP 服务工具缓存（默认 false）"
|
||
},
|
||
"server_id": {
|
||
"type": "string",
|
||
"description": "仅查看指定 MCP 服务（可选）"
|
||
},
|
||
"include_disabled": {
|
||
"type": "boolean",
|
||
"description": "是否包含已禁用服务（默认 false）"
|
||
}
|
||
}),
|
||
"required": []
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "run_python",
|
||
"description": "执行一次性 Python 脚本，可用于处理二进制或非 UTF-8 文件（如 Excel、Word、PDF、图片），或进行数据分析与验证。必须提供 timeout（最长60秒）；一旦超时，脚本会被打断且无法继续执行（需要重新运行），并返回已捕获输出。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"code": {"type": "string", "description": "Python代码"},
|
||
"timeout": {
|
||
"type": "number",
|
||
"description": "超时时长（秒），必填，最大60"
|
||
}
|
||
}),
|
||
"required": ["code", "timeout"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "run_command",
|
||
"description": "执行一次性终端命令，适合查看文件信息（file/ls/stat/iconv 等）、转换编码或调用 CLI 工具。禁止启动交互式程序。必须提供 timeout。前台模式（run_in_background=false，默认）上限120秒，超时会打断；后台模式（run_in_background=true）上限3600秒，会先等待5秒返回已有输出并继续在后台运行，完成后由系统通知。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"command": {"type": "string", "description": "终端命令"},
|
||
"timeout": {
|
||
"type": "number",
|
||
"description": "超时时长（秒），必填。前台最大120；后台最大3600。"
|
||
},
|
||
"run_in_background": {
|
||
"type": "boolean",
|
||
"description": "是否后台运行。true 时先等待5秒返回已有输出，并在后台持续执行直至结束。"
|
||
}
|
||
}),
|
||
"required": ["command", "timeout"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "update_memory",
|
||
"description": "按条目更新记忆列表（自动编号）。append 追加新条目；replace 用序号替换；delete 用序号删除。应积极记录长期偏好、项目事实、已验证经验、用户明确要求记住的内容；不要记录密钥、隐私或未确认猜测。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"content": {"type": "string", "description": "条目内容。append/replace 时必填"},
|
||
"operation": {"type": "string", "enum": ["append", "replace", "delete"], "description": "操作类型"},
|
||
"index": {"type": "integer", "description": "要替换/删除的序号（从1开始）"}
|
||
}),
|
||
"required": ["operation"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "conversation_search",
|
||
"description": "在当前工作区的历史对话中搜索或列出对话，返回对话标题与 id。最多提供 3 个关键词，命中任一关键词即可；如果不提供关键词，则按时间列出最近的历史对话。可提供日期范围和最大返回数量。不能跨工作区搜索，也不会搜索当前对话。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"keywords": {
|
||
"type": "array",
|
||
"description": "搜索关键词列表，最多3个；仅搜索标题和首条用户消息。可为空。",
|
||
"items": {"type": "string"},
|
||
"maxItems": 3
|
||
},
|
||
"query": {"type": "string", "description": "兼容字段：单个搜索关键词，可为空；优先使用 keywords"},
|
||
"start_date": {"type": "string", "description": "开始日期 YYYY-MM-DD，可选"},
|
||
"end_date": {"type": "string", "description": "结束日期 YYYY-MM-DD，可选"},
|
||
"limit": {"type": "integer", "description": "最大返回数量，默认10，最大100"}
|
||
}),
|
||
"required": []
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "conversation_review",
|
||
"description": "按 id 回顾当前工作区内的历史对话。mode=read 时直接返回回顾内容；若内容超过 50000 字符，将自动保存到 .agents/review/ 并提示分段或查找阅读。mode=save 时保存 Markdown 文件到 .agents/review/ 并返回路径。若 id 不属于当前工作区，将返回不存在或不属于当前工作区。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"conversation_id": {"type": "string", "description": "要回顾的对话 id，例如 conv_20250924_210942_114"},
|
||
"mode": {
|
||
"type": "string",
|
||
"enum": ["read", "save"],
|
||
"description": "必要参数。read=直接返回回顾内容；save=保存为 .agents/review/ 下的 Markdown 文件并返回路径。"
|
||
}
|
||
}),
|
||
"required": ["conversation_id", "mode"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "todo_create",
|
||
"description": "创建待办列表，最多 8 条任务；若已有列表将被覆盖。当用户提出稍微复杂的要求、预计需要超过 3 个步骤时，应积极创建待办事项。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"overview": {"type": "string", "description": "一句话概述待办清单要完成的目标，50 字以内。"},
|
||
"tasks": {
|
||
"type": "array",
|
||
"description": "任务列表，1~8 条，每条写清“动词+对象+目标”。",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"title": {"type": "string", "description": "单个任务描述，写成可执行的步骤"}
|
||
},
|
||
"required": ["title"]
|
||
},
|
||
"minItems": 1,
|
||
"maxItems": 8
|
||
}
|
||
}),
|
||
"required": ["overview", "tasks"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "todo_update_task",
|
||
"description": "批量勾选或取消任务（支持单个或多个任务）；全部勾选时提示所有任务已完成。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"task_index": {"type": "integer", "description": "任务序号（1-8），兼容旧参数"},
|
||
"task_indices": {
|
||
"type": "array",
|
||
"items": {"type": "integer"},
|
||
"minItems": 1,
|
||
"maxItems": 8,
|
||
"description": "要更新的任务序号列表（1-8），可一次勾选多个"
|
||
},
|
||
"completed": {"type": "boolean", "description": "true=打勾，false=取消"}
|
||
}),
|
||
"required": ["completed"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "close_sub_agent",
|
||
"description": "强制关闭指定子智能体，适用于长时间无响应、超时或卡死的任务。使用前请确认必要的日志/文件已保留，操作会立即终止该任务。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"task_id": {"type": "string", "description": "子智能体任务ID"},
|
||
"agent_id": {"type": "integer", "description": "子智能体编号（1~5），若缺少 task_id 可用"}
|
||
})
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "create_sub_agent",
|
||
"description": "创建一个子智能体来处理独立任务。子智能体拥有完整的工具能力（读写文件、执行命令、搜索网页等），与主智能体共享工作区。\n\n适用场景：\n1. 可以独立完成的任务（生成文档、代码分析、测试执行）\n2. 需要大量工具调用的任务（批量文件处理、数据收集）\n3. 可以并行处理的子任务（多模块开发、多方面分析）\n4. 刚开始修改一个项目、需要先找到某个功能模块的修改位置时，可优先创建子智能体快速了解代码定位与相关上下文\n\n何时使用后台运行：\n- 任务耗时较长（预计超过5分钟）\n- 你可以继续处理其他工作，不需要立即使用结果\n- 多个独立任务可以并行执行\n\n何时使用阻塞运行（默认）：\n- 任务较快（几分钟内完成）\n- 后续工作依赖子智能体的结果\n- 需要立即查看和使用输出\n\n重要限制：\n- 最多同时运行 5 个子智能体\n- 禁止多个子智能体操作相同的文件或目录（会导致冲突）\n- 禁止子智能体间的工作有重叠（如同时修改同一模块、同时测试同一功能）\n- 每个子智能体应该有明确独立的职责范围",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"agent_id": {
|
||
"type": "integer",
|
||
"description": "子智能体编号（1-99），用于标识和管理。同一对话中每个编号只能使用一次。建议按顺序分配：1、2、3..."
|
||
},
|
||
"summary": {
|
||
"type": "string",
|
||
"description": "任务简短摘要（10-30字），用于显示和跟踪。例如：'生成API文档'、'分析性能瓶颈'、'编写单元测试'。"
|
||
},
|
||
"task": {
|
||
"type": "string",
|
||
"description": "详细的任务描述，必须包括：\n1. 任务目标：要完成什么\n2. 具体要求：如何完成、注意事项\n3. 交付内容：在交付目录生成哪些文件\n4. 工作范围：明确指定操作的文件/目录范围，避免与其他子智能体冲突\n\n示例：'分析 src/api/ 目录下的所有 Python 文件，检查代码质量问题（复杂度、重复代码、潜在bug），生成分析报告 analysis.md 到交付目录。'"
|
||
},
|
||
"deliverables_dir": {
|
||
"type": "string",
|
||
"description": "交付文件夹的相对路径（相对于项目根目录）。子智能体会将所有结果文件放在此目录。\n\n要求：必须是不存在的新目录；若目录不存在会自动创建；若目录已存在（无论是否为空）将报错。\n\n留空则使用默认路径：sub_agent_results/agent_{agent_id}\n\n示例：'docs/api'、'reports/performance'、'tests/generated'"
|
||
},
|
||
"run_in_background": {
|
||
"type": "boolean",
|
||
"description": "是否后台运行。\n\ntrue（后台）：立即返回，子智能体在后台执行，完成后会通知你。适合耗时任务或可以并行处理的任务。\n\nfalse（阻塞，默认）：等待子智能体完成后返回结果。适合快速任务或后续工作依赖结果的情况。"
|
||
},
|
||
"timeout_seconds": {
|
||
"type": "integer",
|
||
"description": "超时时间（秒），范围 60-3600。超时后子智能体会被强制终止，已生成的部分结果会保留。默认 600 秒（10分钟）。"
|
||
},
|
||
"thinking_mode": {
|
||
"type": "string",
|
||
"enum": ["fast", "thinking"],
|
||
"description": "子智能体思考模式，根据任务复杂度选择：\n\nfast（快速模式）- 适合简单明确的任务：\n- 网络信息搜集和整理\n- 批量文件读取和简单处理\n- 执行已知的命令序列\n- 生成简单的文档或报告\n- 数据格式转换\n\nthinking（思考模式）- 适合复杂任务：\n- 代码架构分析和重构设计\n- 复杂算法实现和优化\n- 多步骤问题诊断和调试\n- 技术方案选型和对比\n- 需要深度推理的代码审查\n\n不填则使用默认模式。"
|
||
}
|
||
}),
|
||
"required": ["agent_id", "summary", "task", "deliverables_dir", "thinking_mode"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminate_sub_agent",
|
||
"description": "强制终止正在运行的子智能体。用于：\n1. 任务不再需要\n2. 子智能体陷入死循环或执行错误\n3. 用户要求停止\n\n终止后无法恢复，但已生成的部分结果会保留在交付目录。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"agent_id": {
|
||
"type": "integer",
|
||
"description": "要终止的子智能体编号。"
|
||
}
|
||
}),
|
||
"required": ["agent_id"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "get_sub_agent_status",
|
||
"description": "查询一个或多个子智能体的当前状态和工作进度。用于检查后台运行的子智能体是否完成、当前在做什么、使用了哪些工具。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"agent_ids": {
|
||
"type": "array",
|
||
"items": {"type": "integer"},
|
||
"description": "要查询的子智能体编号列表。必须指定至少一个编号。例如：[1] 或 [1, 2, 3]。"
|
||
}
|
||
}),
|
||
"required": ["agent_ids"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "trigger_easter_egg",
|
||
"description": "触发隐藏彩蛋，用于展示非功能性特效。需指定 effect 参数，例如 flood（灌水）或 snake（贪吃蛇）。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"effect": {
|
||
"type": "string",
|
||
"description": "彩蛋标识，目前支持 flood（灌水）与 snake（贪吃蛇）。"
|
||
}
|
||
}),
|
||
"required": ["effect"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "manage_personalization",
|
||
"description": "管理用户个性化设置。支持读取所有配置，或更新单个字段。可修改字段：self_identify（AI自称，最多20字）、user_name（AI如何称呼用户，最多20字）、profession（用户职业，最多20字）、tone（交流语气，最多20字）、considerations（注意事项列表，字符串数组，最多10项每项最多50字）、theme（主题配色：classic-经典/light-明亮/dark-暗黑）、communication_style（交流风格：default-标准AI风格/human_like-拟人聊天风格）。更新时会自动验证格式，验证通过后立即保存并生效，新主题会立即应用到界面。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"action": {
|
||
"type": "string",
|
||
"enum": ["read", "update"],
|
||
"description": "操作类型：read读取所有配置，update更新单个字段"
|
||
},
|
||
"field": {
|
||
"type": "string",
|
||
"enum": ["self_identify", "user_name", "profession", "tone", "considerations", "theme", "communication_style"],
|
||
"description": "要更新的字段名（仅action=update时需要）"
|
||
},
|
||
"value": {
|
||
"description": "新值（仅action=update时需要）。注意事项需提供字符串数组，其他字段提供字符串"
|
||
}
|
||
}),
|
||
"required": ["action"]
|
||
}
|
||
}
|
||
}
|
||
]
|
||
# 多模态模型自带能力，不再暴露 vlm_analyze，改为 view_image / view_video
|
||
model_key = getattr(self, "model_key", None)
|
||
if model_key and (model_supports_image(model_key) or model_supports_video(model_key)):
|
||
tools = [
|
||
tool for tool in tools
|
||
if (tool.get("function") or {}).get("name") != "vlm_analyze"
|
||
]
|
||
if model_supports_image(model_key):
|
||
tools.append({
|
||
"type": "function",
|
||
"function": {
|
||
"name": "view_image",
|
||
"description": "将指定本地图片附加到工具结果中（tool 消息携带 image_url），便于模型主动查看图片内容。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {
|
||
"type": "string",
|
||
"description": "项目内的图片相对路径（不要以 /workspace 开头）；宿主机模式可用绝对路径。支持 png/jpg/webp/gif/bmp/svg。"
|
||
}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
})
|
||
if model_supports_video(model_key):
|
||
tools.append({
|
||
"type": "function",
|
||
"function": {
|
||
"name": "view_video",
|
||
"description": "将指定本地视频附加到工具结果中（tool 消息携带 video_url），便于模型查看视频内容。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {
|
||
"type": "string",
|
||
"description": "项目内的视频相对路径（不要以 /workspace 开头）；宿主机模式可用绝对路径。支持 mp4/mov/mkv/avi/webm。"
|
||
}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
})
|
||
# 附加自定义工具（仅管理员可见）
|
||
custom_tools = self._build_custom_tools()
|
||
if custom_tools:
|
||
tools.extend(custom_tools)
|
||
# 附加 MCP 工具（由管理员统一配置）
|
||
mcp_tools = self._build_mcp_tools()
|
||
if mcp_tools:
|
||
tools.extend(mcp_tools)
|
||
if self.disabled_tools:
|
||
tools = [
|
||
tool for tool in tools
|
||
if tool.get("function", {}).get("name") not in self.disabled_tools
|
||
]
|
||
|
||
# 调试日志：记录工具列表
|
||
tool_names = [t.get("function", {}).get("name") for t in tools]
|
||
logger.info("[define_tools] 可用工具列表: %s", tool_names)
|
||
print(f"[DEBUG] define_tools: 工具数量={len(tools)}")
|
||
|
||
# 检查personalization分类状态
|
||
if hasattr(self, 'tool_categories_map') and 'personalization' in self.tool_categories_map:
|
||
cat = self.tool_categories_map['personalization']
|
||
state = self.tool_category_states.get('personalization', cat.default_enabled)
|
||
print(f"[DEBUG] personalization分类: default_enabled={cat.default_enabled}, current_state={state}")
|
||
else:
|
||
print(f"[DEBUG] personalization分类不在tool_categories_map中")
|
||
|
||
if "manage_personalization" in tool_names:
|
||
logger.info("[define_tools] manage_personalization 工具已启用")
|
||
print("[DEBUG] manage_personalization 在可用工具列表中")
|
||
else:
|
||
logger.warning("[define_tools] manage_personalization 工具未找到！disabled_tools=%s", self.disabled_tools)
|
||
print(f"[DEBUG] manage_personalization 不在可用工具列表中！disabled_tools={self.disabled_tools}")
|
||
|
||
return self._apply_intent_to_tools(tools)
|