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**状态监控**：管理员可查看插件运行状态\n\n## 安装方法\n\n### 在 Koishi 控制台安装\n1. 进入 Koishi 控制台\n2. 转到「插件市场」\n3. 搜索「deepseekapi-chat」\n4. 点击安装\n\n### 手动安装\n```bash\n# 通过 npm\nnpm install koishi-plugin-deepseekapi-chat\n\n# 或通过 yarn\nyarn add koishi-plugin-deepseekapi-chat\n```\n\n## 配置说明\n\n### 必需配置\n```yaml\n# 在 Koishi 配置文件中添加\nplugins:\n  deepseekapi-chat:\n    apiKey: 'your-deepseek-api-key-here'  # DeepSeek API 密钥\n```\n\n### 完整配置选项\n\n#### API 设置\n| 配置项 | 类型 | 默认值 | 说明 |\n|--------|------|--------|------|\n| `apiKey` | `string` | `''` | **必需** DeepSeek API 密钥 |\n| `endpoint` | `string` | `'https://api.deepseek.com'` | API 接入点 URL |\n| `model` | `string` | `'deepseek-chat'` | 使用的模型名称 |\n\n#### 人设与提示词\n| 配置项 | 类型 | 默认值 | 说明 |\n|--------|------|--------|------|\n| `systemPrompt` | `string` | `'你是一个 helpful 的 AI 助手...'` | 系统提示词，用于设定 AI 的角色和行为 |\n| `injectSystemPromptEveryTime` | `boolean` | `false` | 是否每次请求都重新注入 System Prompt |\n| `injectSystemPromptInterval` | `number` | `5` | 人设强调频率：每隔 X 轮对话注入一次 System Prompt |\n\n#### 对话上下文管理\n| 配置项 | 类型 | 默认值 | 说明 |\n|--------|------|--------|------|\n| `maxContextRounds` | `number` | `10` | 最大保留的对话轮数（0 = 不保留历史） |\n| `separateGroupContext` | `boolean` | `true` | 每个群聊是否使用独立的上下文 |\n\n#### 生成参数\n| 配置项 | 类型 | 默认值 | 范围 | 说明 |\n|--------|------|--------|------|------|\n| `temperature` | `number` | `0.7` | `0-2` | 创造性，越高越随机 |\n| `top_p` | `number` | `0.9` | `0-1` | 核采样概率 |\n| `max_tokens` | `number` | `1024` | `1-4096` | 最大生成令牌数 |\n| `frequency_penalty` | `number` | `0` | `-2~2` | 频率惩罚，降低重复度 |\n| `presence_penalty` | `number` | `0` | `-2~2` | 存在惩罚，鼓励新话题 |\n\n#### 行为控制\n| 配置项 | 类型 | 默认值 | 说明 |\n|--------|------|--------|------|\n| `stream` | `boolean` | `false` | 是否启用流式输出（未来扩展） |\n| `verboseApiLog` | `boolean` | `false` | 是否打印详细的 API 日志 |\n| `verboseError` | `boolean` | `false` | 是否显示详细的错误信息 |\n| `formatMessageWithUser` | `boolean` | `false` | 是否在 AI 回复前添加用户标识 |\n\n#### 直聊模式配置\n| 配置项 | 类型 | 默认值 | 说明 |\n|--------|------|--------|------|\n| `enableDirectChatInPrivate` | `boolean` | `true` | 是否在私聊中启用直聊模式 |\n| `enableDirectChatOnAt` | `boolean` | `true` | 是否在群聊中启用 @ 直聊模式 |\n| `directChatPrefix` | `string` | `''` | 直聊模式触发前缀（如空则无前缀） |\n| `bypassDirectChatPrefixInPrivate` | `boolean` | `false` | 在私聊中是否忽略过滤词前缀。开启后，即使设置了过滤词，在私聊中也能直接触发机器人 |\n\n## 使用方法\n\n### 命令模式\n```\n.ds <问题>          # 向 DeepSeek 提问\n.ai <问题>          # 别名，功能相同\n.ds -r              # 清空当前会话记忆\n.deepseek-status    # 查看插件状态（仅管理员）\n```\n\n**示例：**\n```\n用户：.ds 什么是人工智能？\nAI：人工智能是...\n\n用户：.ds 用 Python 写一个冒泡排序\nAI：```python\ndef bubble_sort(arr):\n    n = len(arr)\n    for i in range(n):\n        for j in range(0, n-i-1):\n            if arr[j] > arr[j+1]:\n                arr[j], arr[j+1] = arr[j+1], arr[j]\n    return arr\n```\n\n### 直聊模式\n\n#### 私聊直聊\n1. 默认已启用（`enableDirectChatInPrivate: true`）\n2. 在私聊中直接发送消息即可获得响应\n3. 如需禁用，可设置 `enableDirectChatInPrivate: false`\n\n#### 群聊 @ 直聊\n1. 默认已启用（`enableDirectChatOnAt: true`）\n2. 在群聊中 @机器人 并发送消息\n3. 如需禁用，可设置 `enableDirectChatOnAt: false`\n\n**示例：**\n```\n用户：@机器人 今天天气怎么样？\nAI：今天天气晴朗，气温 25°C...\n```\n\n### 前缀直聊与过滤词\n配置 `directChatPrefix` 可设置触发前缀：\n```yaml\ndirectChatPrefix: '!ai'\n```\n使用方式：`!ai 今天天气怎么样？`\n\n**私聊忽略前缀功能**：\n当设置了 `directChatPrefix` 过滤词时，私聊默认需要匹配前缀才能触发。如需在私聊中忽略前缀检查，可启用 `bypassDirectChatPrefixInPrivate: true`。\n\n## 实现原理\n\n### 架构设计\n```\n用户输入 → 中间件/命令处理器 → 会话管理器 → API 调用 → 响应处理 → 用户输出\n```\n\n### 核心组件\n\n#### 1. 会话管理\n- 使用 `Map` 数据结构存储会话历史\n- 会话 ID 生成规则：\n  - 群聊独立上下文：`group:{groupId}:user:{userId}`\n  - 群聊共享上下文：`group:{groupId}`\n  - 私聊：`user:{userId}`\n- 自动清理超出 `maxContextRounds` 的历史消息\n\n#### 2. 消息处理流程\n```javascript\n1. 接收用户输入\n2. 获取或创建会话历史\n3. 条件性注入 System Prompt（根据配置频率）\n4. 构建 API 请求消息体\n5. 调用 DeepSeek API\n6. 处理响应并更新会话历史\n7. 返回 AI 回复\n```\n\n#### 3. 上下文管理策略\n- **轮数计算**：仅计算用户和 AI 的对话轮数，系统提示不计入\n- **人设强调**：可配置每隔 N 轮重新注入系统提示词，保持 AI \"人设\"\n- **历史裁剪**：FIFO 原则，保留最近的对话\n\n#### 4. API 集成\n- 使用 `fetch` 进行 HTTP 请求\n- 完整的错误处理（401、429 等状态码）\n- 支持流式输出（未来扩展）\n\n### 性能优化\n- **内存效率**：仅保留必要的历史消息\n- **网络优化**：合理的超时和重试机制\n- **日志控制**：可配置的详细日志，避免生产环境噪音\n\n## 注意事项\n\n### API 密钥安全\n1. 不要在代码中硬编码 API 密钥\n2. 使用环境变量或 Koishi 配置管理\n3. 定期轮换 API 密钥\n\n### 使用限制\n1. DeepSeek API 有调用频率限制\n2. 上下文长度受 `max_tokens` 限制\n3. 长时间对话可能产生较高费用\n\n### 最佳实践\n1. **人设设计**：精心设计 `systemPrompt` 以获得更好的对话效果\n2. **上下文轮数**：根据使用场景调整 `maxContextRounds`（建议 5-15）\n3. **温度设置**：创意场景用较高温度（0.8-1.2），严谨场景用较低温度（0.3-0.7）\n4. **错误处理**：启用 `verboseError` 进行调试，生产环境可关闭\n\n### 常见问题\n\n#### Q: 为什么 AI 回复不一致？\nA: 检查 `temperature` 设置，过高会导致随机性增加。\n\n#### Q: 如何清空某个用户的对话历史？\nA: 使用 `.ds -r` 命令清空当前会话。\n\n#### Q: API 返回 401 错误？\nA: 检查 API 密钥是否正确，是否已过期。\n\n#### Q: 如何查看当前活跃会话？\nA: 管理员使用 `.deepseek-status` 命令。\n\n## 更新日志\n\n### v1.3.0 (最新版本)\n- **新增功能**：添加 `bypassDirectChatPrefixInPrivate` 配置项，支持在私聊中忽略过滤词前缀\n- **默认值优化**：直聊模式默认启用（`enableDirectChatInPrivate` 和 `enableDirectChatOnAt` 默认值改为 `true`）\n- **日志系统升级**：使用 Koishi 专用日志实例，提供更结构化的日志输出\n- **配置描述改进**：多个配置项的描述更加详细和准确\n\n### v1.2.2\n- 优化了上下文管理逻辑\n- 修复了会话轮数计算问题\n- 增强了错误提示信息\n\n### v1.2.0\n- 新增直聊模式（私聊和 @ 响应）\n- 添加系统提示词间隔注入功能\n- 改进配置项描述\n\n### v1.1.0\n- 支持多轮对话记忆\n- 添加详细的生成参数配置\n- 优化 API 错误处理\n\n### v1.0.0\n- 初始版本发布\n- 基础 DeepSeek API 集成\n- 命令模式支持\n\n## 开发指南\n\n### 本地开发\n```bash\n# 克隆仓库\ngit clone <repository-url>\n\n# 安装依赖\ncd koishi-plugin-deepseekapi-chat\nnpm install\n\n# 开发测试\nnpm run dev\n```\n\n### 代码结构\n```\nsrc/\n├── index.js          # 插件主文件\n└── (未来扩展)\n```\n\n### 贡献指南\n1. Fork 本仓库\n2. 创建功能分支\n3. 提交更改\n4. 发起 Pull Request\n\n## 许可证\n\n本项目采用 MIT 许可证。详见 [LICENSE](LICENSE) 文件。\n\n## 支持与反馈\n\n如有问题或建议，请：\n1. 查看 [GitHub Issues](https://github.com/your-repo/issues)\n2. 提交新的 Issue\n3. 或通过其他联系方式反馈\n\n---\n\n**温馨提示**：合理使用 AI 技术，遵守相关法律法规和平台规定。","readmeFilename":"README.md"}