From aaad9df20a97baa2ec5a393df1674562625d4499 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9C=B1=E6=BD=AE?= Date: Mon, 22 Dec 2025 23:47:12 +0800 Subject: [PATCH] add skills --- .vscode/launch.json | 3 +- agent/deep_assistant.py | 71 +-- agent/prompt_loader.py | 4 +- fastapi_app.py | 5 +- poetry.lock | 1090 ++++++++++++++++++++++++++++++++++++++- prompt/wowtalk.md | 14 +- pyproject.toml | 3 +- utils/__init__.py | 9 + utils/fastapi_utils.py | 3 +- utils/symlink_utils.py | 95 ++++ 10 files changed, 1248 insertions(+), 49 deletions(-) create mode 100644 utils/symlink_utils.py diff --git a/.vscode/launch.json b/.vscode/launch.json index 82f997a..182eb88 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -9,7 +9,8 @@ "console": "integratedTerminal", "cwd": "${workspaceFolder}", "envFile": "${workspaceFolder}/.env", - "python": "${workspaceFolder}/.venv/bin/python" + "python": "${workspaceFolder}/.venv/bin/python", + "justMyCode": false } ] } diff --git a/agent/deep_assistant.py b/agent/deep_assistant.py index 254b954..54c6d27 100644 --- a/agent/deep_assistant.py +++ b/agent/deep_assistant.py @@ -4,6 +4,7 @@ import time from typing import Any, Dict from langchain.chat_models import init_chat_model # from deepagents import create_deep_agent +from deepagents_cli.agent import create_cli_agent from langchain.agents import create_agent from langchain.agents.middleware import SummarizationMiddleware from langchain_mcp_adapters.client import MultiServerMCPClient @@ -117,7 +118,6 @@ async def init_agent(config: AgentConfig): # 检测或使用指定的提供商 model_provider,base_url = detect_provider(config.model_name, config.model_server) - # 构建模型参数 model_kwargs = { "model": config.model_name, @@ -130,39 +130,48 @@ async def init_agent(config: AgentConfig): model_kwargs.update(config.generate_cfg) llm_instance = init_chat_model(**model_kwargs) - # 构建中间件列表 - middleware = [] - # 只有在 enable_thinking 为 True 时才添加 GuidelineMiddleware - if config.enable_thinking: - middleware.append(GuidelineMiddleware(llm_instance, config, system_prompt)) - - # 添加工具输出长度控制中间件 - tool_output_middleware = ToolOutputLengthMiddleware( - max_length=getattr(config.generate_cfg, 'tool_output_max_length', None) if config.generate_cfg else None or TOOL_OUTPUT_MAX_LENGTH, - truncation_strategy=getattr(config.generate_cfg, 'tool_output_truncation_strategy', 'smart') if config.generate_cfg else 'smart', - tool_filters=getattr(config.generate_cfg, 'tool_output_filters', None) if config.generate_cfg else None, # 可配置特定工具 - exclude_tools=getattr(config.generate_cfg, 'tool_output_exclude', []) if config.generate_cfg else [], # 排除的工具 - preserve_code_blocks=getattr(config.generate_cfg, 'preserve_code_blocks', True) if config.generate_cfg else True, - preserve_json=getattr(config.generate_cfg, 'preserve_json', True) if config.generate_cfg else True - ) - middleware.append(tool_output_middleware) - - if checkpointer: - summarization_middleware = SummarizationMiddleware( + if config.robot_type == "deep_agent": + # 使用 DeepAgentX 创建 agent + agent, composite_backend = create_cli_agent( model=llm_instance, - max_tokens_before_summary=SUMMARIZATION_MAX_TOKENS, - messages_to_keep=20, # 摘要后保留最近 20 条消息 - summary_prompt="请简洁地总结以上对话的要点，包括重要的用户信息、讨论过的话题和关键结论。" + assistant_id=config.bot_id, + tools=mcp_tools, + auto_approve=True, ) - middleware.append(summarization_middleware) + else: + # 构建中间件列表 + middleware = [] + # 只有在 enable_thinking 为 True 时才添加 GuidelineMiddleware + if config.enable_thinking: + middleware.append(GuidelineMiddleware(llm_instance, config, system_prompt)) - agent = create_agent( - model=llm_instance, - system_prompt=system_prompt, - tools=mcp_tools, - middleware=middleware, - checkpointer=checkpointer # 传入 checkpointer 以启用持久化 - ) + # 添加工具输出长度控制中间件 + tool_output_middleware = ToolOutputLengthMiddleware( + max_length=getattr(config.generate_cfg, 'tool_output_max_length', None) if config.generate_cfg else None or TOOL_OUTPUT_MAX_LENGTH, + truncation_strategy=getattr(config.generate_cfg, 'tool_output_truncation_strategy', 'smart') if config.generate_cfg else 'smart', + tool_filters=getattr(config.generate_cfg, 'tool_output_filters', None) if config.generate_cfg else None, # 可配置特定工具 + exclude_tools=getattr(config.generate_cfg, 'tool_output_exclude', []) if config.generate_cfg else [], # 排除的工具 + preserve_code_blocks=getattr(config.generate_cfg, 'preserve_code_blocks', True) if config.generate_cfg else True, + preserve_json=getattr(config.generate_cfg, 'preserve_json', True) if config.generate_cfg else True + ) + middleware.append(tool_output_middleware) + + if checkpointer: + summarization_middleware = SummarizationMiddleware( + model=llm_instance, + max_tokens_before_summary=SUMMARIZATION_MAX_TOKENS, + messages_to_keep=20, # 摘要后保留最近 20 条消息 + summary_prompt="请简洁地总结以上对话的要点，包括重要的用户信息、讨论过的话题和关键结论。" + ) + middleware.append(summarization_middleware) + + agent = create_agent( + model=llm_instance, + system_prompt=system_prompt, + tools=mcp_tools, + middleware=middleware, + checkpointer=checkpointer # 传入 checkpointer 以启用持久化 + ) # 如果有缓存键，将 agent 加入缓存 if cache_key: diff --git a/agent/prompt_loader.py b/agent/prompt_loader.py index 6b04eb7..ddd2bfc 100644 --- a/agent/prompt_loader.py +++ b/agent/prompt_loader.py @@ -98,7 +98,9 @@ async def load_system_prompt_async(project_dir: str, language: str = None, syste datetime_str = format_datetime_by_language(language) if language else format_datetime_by_language('en') # 如果存在{language} 占位符，那么就直接使用 system_prompt - if robot_type == "general_agent" or robot_type == "catalog_agent": + if robot_type == "deep_agent": + return None + elif robot_type == "general_agent" or robot_type == "catalog_agent": """ 优先使用项目目录的README.md，没有才使用默认的system_prompt_{robot_type}.md """ diff --git a/fastapi_app.py b/fastapi_app.py index 38bc72d..cf898f4 100644 --- a/fastapi_app.py +++ b/fastapi_app.py @@ -12,7 +12,7 @@ from fastapi.middleware.cors import CORSMiddleware from routes.file_manager import router as file_manager_router import logging - +from utils.symlink_utils import setup_project_directories from utils.log_util.logger import init_with_fastapi @@ -25,6 +25,9 @@ init_with_fastapi(app) logger = logging.getLogger('app') +# Setup project directories and symbolic links +setup_project_directories() + # 挂载public文件夹为静态文件服务 app.mount("/public", StaticFiles(directory="public"), name="static") diff --git a/poetry.lock b/poetry.lock index fa6b1c4..a88a060 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,14 +2,14 @@ [[package]] name = "aiofiles" -version = "25.1.0" +version = "24.1.0" description = "File support for asyncio." optional = false -python-versions = ">=3.9" +python-versions = ">=3.8" groups = ["main"] files = [ - {file = "aiofiles-25.1.0-py3-none-any.whl", hash = "sha256:abe311e527c862958650f9438e859c1fa7568a141b22abcd015e120e86a85695"}, - {file = "aiofiles-25.1.0.tar.gz", hash = "sha256:a8d728f0a29de45dc521f18f07297428d56992a742f0cd2701ba86e44d23d5b2"}, + {file = 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回复格式："现在室温xx度，调整到xx度可以吗？" + - 如果用户说"有点冷"、"调高点"、"太冷了"等，表示要升温： + 1. 先查询当前室温 + 2. 默认将温度调高1度（当前温度+1度） + 3. 回复格式："现在室温xx度，调整到xx度可以吗？" + - 如果用户指定了具体温度（如"调到25度"），直接使用指定温度 + 3. **若用户已明确确认**：直接调用【设备控制】工具执行操作。 + 4. **若用户未确认且为新请求**：向用户发送确认提示："即将为您 [操作内容] [设备名称] [具体参数]，是否确认？"，待用户确认后再执行。 4. 查询人员信息/wowtalk账号/人员位置 - **条件**：用户意图为查找某人、员工、同事或房间位置。 diff --git a/pyproject.toml b/pyproject.toml index 4b38ff8..0ceefaf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,11 +27,12 @@ dependencies = [ "chardet>=5.0.0", "psutil (>=7.1.3,<8.0.0)", "uvloop (>=0.22.1,<0.23.0)", - "deepagents (>=0.3.0,<0.4.0)", + "deepagents (>=0.2.8,<0.4.0)", "langchain-mcp-adapters (>=0.2.1,<0.3.0)", "langchain-openai (>=1.1.1,<2.0.0)", "cachetools (>=6.2.4,<7.0.0)", "langgraph-checkpoint-sqlite (>=3.0.1,<4.0.0)", + "deepagents-cli (>=0.0.11,<0.0.12)", ] [tool.poetry.requires-plugins] diff --git a/utils/__init__.py b/utils/__init__.py index c0ae1aa..a3c12e0 100644 --- a/utils/__init__.py +++ b/utils/__init__.py @@ -84,6 +84,11 @@ from .multi_project_manager import ( generate_robot_readme ) +from .symlink_utils import ( + setup_deepagents_symlink, + setup_project_directories +) + __all__ = [ # file_utils 'download_file', @@ -152,4 +157,8 @@ __all__ = [ 'get_unique_folder_name', 'copy_dataset_folder', 'generate_robot_readme', + + # symlink_utils + 'setup_deepagents_symlink', + 'setup_project_directories', ] diff --git a/utils/fastapi_utils.py b/utils/fastapi_utils.py index 6145f03..3033796 100644 --- a/utils/fastapi_utils.py +++ b/utils/fastapi_utils.py @@ -367,7 +367,8 @@ def format_messages_to_chat_history(messages: List[Dict[str, str]]) -> str: def create_project_directory(dataset_ids: Optional[List[str]], bot_id: str, robot_type: str = "general_agent") -> Optional[str]: """创建项目目录的公共逻辑""" # 只有当 robot_type == "catalog_agent" 且 dataset_ids 不为空时才创建目录 - if robot_type != "catalog_agent" or not dataset_ids or len(dataset_ids) == 0: + + if robot_type == "general_agent": return None try: diff --git a/utils/symlink_utils.py b/utils/symlink_utils.py new file mode 100644 index 0000000..0e83de4 --- /dev/null +++ b/utils/symlink_utils.py @@ -0,0 +1,95 @@ +#!/usr/bin/env python3 +""" +Utilities for managing symbolic links and directory setup. +""" + +import os +import logging +from pathlib import Path + +logger = logging.getLogger(__name__) + + +def setup_deepagents_symlink(): + """ + Create a symbolic link from projects/robot to ~/.deepagents + if it doesn't already exist. + """ + try: + # Get paths + project_root = Path(__file__).parent.parent + robot_dir = project_root / "projects" / "robot" + deepagents_dir = Path.home() / ".deepagents" + + # Create robot directory if it doesn't exist + robot_dir.mkdir(parents=True, exist_ok=True) + + # If ~/.deepagents already exists and is not a symlink, backup and remove it + if deepagents_dir.exists() and not deepagents_dir.is_symlink(): + backup_dir = deepagents_dir.parent / f"{deepagents_dir.name}.backup" + logger.warning(f"~/.deepagents directory exists but is not a symlink.") + logger.warning(f"Creating backup at {backup_dir}") + + try: + # Create backup + import shutil + if backup_dir.exists(): + shutil.rmtree(backup_dir) + shutil.move(str(deepagents_dir), str(backup_dir)) + logger.info(f"Successfully backed up existing directory to {backup_dir}") + except Exception as backup_error: + logger.error(f"Failed to backup existing directory: {backup_error}") + logger.error("Please manually remove or backup ~/.deepagents to proceed") + return False + + # If ~/.deepagents is already a symlink pointing to the right place, do nothing + if deepagents_dir.is_symlink(): + target = deepagents_dir.resolve() + if target == robot_dir.resolve(): + logger.info(f"~/.deepagents already points to {robot_dir}") + return True + else: + # Remove existing symlink pointing elsewhere + deepagents_dir.unlink() + logger.info(f"Removed existing symlink pointing to {target}") + + # Create the symbolic link + os.symlink(robot_dir, deepagents_dir, target_is_directory=True) + logger.info(f"Created symbolic link: {deepagents_dir} -> {robot_dir}") + return True + + except Exception as e: + logger.error(f"Failed to create symbolic link: {e}") + return False + + +def setup_project_directories(): + """ + Set up all necessary directories and symbolic links for the project. + """ + logger.info("Setting up project directories...") + + # Setup ~/.deepagents symlink + symlink_success = setup_deepagents_symlink() + + if symlink_success: + logger.info("Project directories setup completed successfully") + else: + logger.warning("Project directories setup completed with warnings") + + return symlink_success + + +if __name__ == "__main__": + # Set up basic logging for standalone testing + logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' + ) + + # Test the function + success = setup_deepagents_symlink() + if success: + print("✅ Symbolic link setup successful") + else: + print("❌ Symbolic link setup failed") \ No newline at end of file