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万码4P7VTGUT

ONE - AI永久记忆系统

# ONE - AI永久记忆系统 这是一个基于大语言模型的AI助手系统，具有记忆管理、对话能力和API调用功能。 ## 主要特性 - 智能对话：基于大语言模型的自然对话能力 - 记忆系统：分层的记忆管理，包括基础记忆、记忆快照和元快照 - 动态分类：自动对记忆进行分类和管理 - 上下文感知：根据对话上下文检索相关记忆 - API调用：支持通过对话调用外部API，实现更强大的功能扩展 ## 系统架构 系统主要包含以下模块： - `core/`: 核心功能模块 - `memory/`: 记忆系统实现 - `processor/`: 记忆处理器 - `retrieval/`: 记忆检索 - `chat/`: 对话管理 - `api/`: API接口 - `services/`: 外部服务集成 - `utils/`: 工具函数 - `config/`: 配置文件 - `frontend/`: 前端界面实现 ### 记忆系统 记忆系统采用三层架构： 1. 基础记忆（BaseMemory） - 存储完整的对话内容和上下文 - 包含时间戳、重要性等元数据 - 记录API调用相关信息 2. 记忆快照（MemorySnapshot） - 提取记忆的关键信息 - 包含对原始记忆的引用 - 按类别组织 - 保存API调用结果和分析 3. 元快照（MetaSnapshot） - 对相似快照进行分类和总结 - 提供更高层次的记忆组织 - 总结API使用模式和效果 ## 配置说明 系统配置位于`config/`目录： - `default_memory_config.json`: 记忆系统配置 - `storage`: 存储相关配置 - `snapshot`: 快照处理配置 - `chat`: 对话相关配置 - `api`: API调用相关配置 ## API接口 ### 对话接口 ```http POST /chat Content-Type: application/json { "query": "用户输入", "context": { "enable_api_call": true, // 是否启用API调用 "api_docs": "API文档内容" // API接口文档 } } ``` ### 记忆管理 ```http POST /clear_history # 清空对话历史 POST /cleanup_memories # 清理旧记忆 GET /memory_stats # 获取记忆统计 ``` ## 开发指南 1. 安装依赖 ```bash pip install -r requirements.txt 修改.env.example文件为.env文件 ``` 2. 运行 ```bash python run.py cd .\frontend\ npm install npm run dev ``` ## API调用功能 系统支持通过对话方式调用外部API，主要特点： 1. 动态API调用 - 支持在对话中启用/禁用API调用 - 可以动态提供API文档 - 自动分析API调用需求 2. 智能分析 - 自动分析用户需求 - 匹配合适的API - 生成调用计划 3. 安全控制 - API调用开关 - 文档验证 - 调用限制 4. 结果处理 - 自动处理API响应 - 整合到对话流程 - 记录调用历史 5. 使用方法 - 在对话界面启用API调用开关 - 提供API文档（支持OpenAPI/Swagger格式） - 正常进行对话，系统会自动判断是否需要调用API ## 注意事项 - 定期清理旧记忆以优化存储空间 - 合理配置记忆重要性阈值 - 监控记忆统计信息 - API调用相关： - 确保API文档格式正确 - 注意API调用频率限制 - 定期检查API可用性 ## UI参考 ![https://wmprod.oss-cn-shanghai.aliyuncs.com/community/FupYMuDZfgRXq1hwiydIwBNy1pJi.png](https://wmprod.oss-cn-shanghai.aliyuncs.com/community/FupYMuDZfgRXq1hwiydIwBNy1pJi.png) ## 界面使用说明 ### PC 端操作 1. **基本对话** - 在输入框中输入消息 - 按 Enter 发送消息 - 按 Shift + Enter 换行 - 点击"清空对话"重置对话 2. **API 设置** - 点击右上角"API 设置"按钮 - 开启/关闭 API 调用功能 - 输入 API 文档内容 - 点击关闭按钮保存设置 3. **思考过程** - 右侧面板实时显示 AI 思考步骤 - 自动滚动显示最新步骤 - 清晰的步骤分类和图标 ### 移动端操作 1. **基本对话** - 在底部输入框输入消息 - 点击发送按钮(📤)发送消息 - 点击清空按钮(🗑️)重置对话 2. **API 设置** - 点击右上角设置图标(⚙️) - 在弹出面板中配置 API 设置 - 点击关闭按钮保存并返回 3. **思考过程** - 点击右下角思考按钮(🧠)查看思考过程 - 向上滑动查看历史步骤 - 点击顶部关闭按钮返回对话 ### 界面元素说明 1. **消息显示** - 用户消息：右侧蓝色气泡 - 系统回复：左侧深色气泡 - 时间戳：消息底部显示 2. **思考过程** - 步骤编号：顺序显示 - 类型图标：直观区分步骤类型 - 详细描述：展示具体思考内容 - 执行结果：显示操作结果 3. **API 设置面板** - 开关控制：一键开启/关闭 - 文档输入：支持多行文本 - 状态提示：显示警告和提示信息 ### 移动端使用建议 1. **操作建议** - 使用现代移动浏览器访问 - 保持良好的网络连接 - 注意设备电量消耗 2. **性能优化** - 长时间对话建议定期清空 - 避免输入过长的消息 - 合理使用 API 调用功能

ai人工智能 python3 vue
14
0
1
浏览量72
LightSea

flask 报错求解？

服务端 from flask import Flask, request app = Flask(__name__) @app.route("/") def index(): pass def login(user): if request.method=="get": return f"Hello {user}" app.add_url_rule("/login/", view_func=login,methods=['POST', 'GET']) if __name__ == "__main__": app.run(debug=True) 客户端请求 url = ' http://*******/login/yyy' res = requests.get(url=url,headers=headers) 请求报错如下 TypeError: The view function for 'login' did not return a valid response. The function either returned None or ended without a return statement.

flask python3
16
1
0
浏览量301
ZZZ葡萄皮

报错了 报错了？？

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python3 mysql
6
1
0
浏览量231
Midclimateeee

python3模块导入错误，找不到模块：ModuleNotFoundError: No module named 'Scripts'？

我的文件目录是这样的： "Snipaste_2024-02-11_17-23-36.png" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20241010/2e97516e00fd599ec0d77ce6da18d0cf.png) SSDTTime.py文件的首行是引入Scripts文件夹里面的文件，是这样写的： from Scripts import downloader, dsdt, plist, reveal, run, utils //... Scripts文件夹里面是这样的： "Snipaste_2024-02-11_17-24-13.png" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20241010/ff7f2200ef405268b74a29771b417e1b.png) 我在powershell里面运行SSDTTime.py文件，出现如下错误，找不到Scripts模块： PS D:\blackMac\SSDTTime> python SSDTTime.py Traceback (most recent call last): File "D:\blackMac\SSDTTime\SSDTTime.py", line 1, in from Scripts import downloader, dsdt, plist, reveal, run, utils ModuleNotFoundError: No module named 'Scripts' 大佬帮解释一下怎么回事。

python3
0
1
0
浏览量186
M78的社畜

python3 爬虫，请问这是什么编码？

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"原字符串" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/4fc8877df598360a22634f285dd1bca1.png) decode('utf-8')报错： UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe8 in position 1: invalid continuation byte decode('utf-8', 'ignore')： "utf-8, ignore" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/18016895128b08a694f17d142072af09.png) decode('gbk', 'ignore')： "gbk" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/8bb51fb60882ec5efbadf49523466811.png) decode('utf-16', 'ignore')： "utf-16" (https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/7d1ab076fb26901bc4e7218836a8dc28.png) decode('gb2312', 'ignore')： https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/1d7cc0123758e3019af39054ebecc5ba.png response.text： https://wmprod.oss-cn-shanghai.aliyuncs.com/c/user/20240917/4d0e846b7503e160eb4c60d3a3c57773.png 我所用到的headers（除cookie外）： headers = { 'accept': '*/*', 'accept-encoding': 'gzip, deflate, br, zstd', 'accept-language': 'zh-CN,zh;q=0.9', 'priority': 'u=1, i', 'referer': 'https://www.zhihu.com/', 'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"Windows"', 'sec-fetch-dest': 'empty', 'sec-fetch-mode': 'cors', 'sec-fetch-site': 'same-origin', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36', }

python爬虫 python3 decode
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浏览量209
一只臭美的Doggg

python这句代码是什么意思？

START = 0x7E VER = 0xFF LEN = 0x06 FEEDBACK = 0x00 END = 0xEF Checksum = -(VER + LEN + CMD + FEEDBACK + Para1 + Para2) HighByte = Checksum >> 8 LowByte = Checksum & 0xFF CommandLine = bytes([b & 0xFF for b in [ START, VER, LEN, CMD, FEEDBACK, Para1, Para2, HighByte, LowByte, END ]]) b & 0xFF for b in这个怎么理解

python python3 python3.x
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1
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浏览量190
我爱了你呢

pymongo 怎么插入北京时间的字符串？

我现在有北京时间的字符串 2023-12-25 10:31:32 通过"datetime.datetime.strptime(2023-12-25 10:31:32, "%Y-%m-%d %H:%M:%S")"转换，pymongo插入到mongodb。mongodb默认插入的是utc时间的，怎么才能插入是北京时间的？

python3 mongodb pymongo
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WhatUpDanger

numpy的correlate函数怎么用在多维数组上？

相关代码就是这一行 match_degree = np.correlate(t, q, mode="full") t和q都是多维数组，这样直接运行是报错的，但我想得到就是它们的线性相关性，请问各位大佬，怎么处理才能得到想要的结果？ 补充： 我试了下使用ravel展平数组，但其结果不知道是否可靠，有没有了解这些的，帮忙解释一下吧，多谢 match_degree = np.correlate(t.ravel(), q.ravel(), mode="full")

python3 python python3.x
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CTang

python16进制0x为什么写成\x？

b'~\xff\x06\x06\x00\x00\x18\xfe\xdd\xef'

python python3.x python3
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金刚老六

python 处理json 数据报错？

ss=['{\n\t"info": {\n\t\t"type": 6,\n\t\t"error": 0,\n\t\t"request_id": "35855e4dbe747cb756fd64b62eaea5a8",\n\t\t"time": 0,\n\t\t"total": 14,\n\t\t"rnum": 14,\n\t\t"linetotal":0,\n\t\t"linenum": 0,\n\t\t"stationnum": 0,\n\t\t"hint": 1,\n\t\t"foldtype": 6,\n\t\t"foldnum": 14,\n\t\t"foldaddr": "0,0,0,0,0,0,0,0,0,0,0,0,0,0",\n\t\t"marks": 0,\n\t\t"qcnum": 0,\n\t\t"qcqr_type": 0,\n\t\t"qctype": -1,\n\t\t"core_query": "",\n\t\t"where_info": "null",\n\t\t"what_info": "null",\n\t\t"querytype": -1,\n\t\t"need_adjust": 1,\n\t\t"jumpback": 1,\n\t\t"jump_to": 0,\n "jumpUrl": "",\n\t\t"cb_version": 2\n\t},\n\t"detail": {\n\t\t"city": {\n\t\t\t"ccode": 1653,\n\t\t\t"acode": 411300,\n\t\t\t"cname": "南阳市",\n\t\t\t"ctype": 2, \n\t\t\t"level": 12,\n\t\t\t"pointx": 12526620.770000,\n\t\t\t"pointy": 3894005.640000,\n\t\t\t"geotype": 0,\n\t\t\t"bus": 0,\n\t\t\t"path": 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