feat:动作现在区分focus和normal,并且可选不同的激活策略
This commit is contained in:
@@ -2,44 +2,80 @@
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## 概述
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MaiBot 的动作激活系统支持四种不同的激活类型,让机器人能够智能地根据上下文选择合适的动作。
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MaiBot 的动作激活系统采用**双激活类型架构**,为Focus模式和Normal模式分别提供最优的激活策略。
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**系统已集成三大优化策略:**
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**系统已集成四大核心特性:**
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- 🎯 **双激活类型**:Focus模式智能化,Normal模式高性能
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- 🚀 **并行判定**:多个LLM判定任务并行执行
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- 💾 **智能缓存**:相同上下文的判定结果缓存复用
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- 🔍 **分层判定**:快速过滤 + 精确判定的两层架构
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- ⚡ **并行动作**:支持与回复同时执行的动作
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## 双激活类型系统 🆕
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### 系统设计理念
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**Focus模式**:智能优先
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- 支持复杂的LLM判定
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- 提供精确的上下文理解
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- 适合需要深度分析的场景
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**Normal模式**:性能优先
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- 使用快速的关键词匹配
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- 采用简单的随机触发
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- 确保快速响应用户
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### 核心属性配置
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```python
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from src.chat.focus_chat.planners.actions.base_action import BaseAction, register_action, ActionActivationType
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from src.chat.chat_mode import ChatMode
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@register_action
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class MyAction(BaseAction):
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action_name = "my_action"
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action_description = "我的动作描述"
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# 双激活类型配置
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focus_activation_type = ActionActivationType.LLM_JUDGE # Focus模式使用智能判定
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normal_activation_type = ActionActivationType.KEYWORD # Normal模式使用关键词
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activation_keywords = ["关键词1", "关键词2", "keyword"]
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keyword_case_sensitive = False
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# 模式启用控制
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mode_enable = ChatMode.ALL # 支持的聊天模式
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# 并行执行控制
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parallel_action = False # 是否与回复并行执行
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# 插件系统控制
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enable_plugin = True # 是否启用此插件
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```
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## 激活类型详解
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### 1. ALWAYS - 总是激活
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**用途**:基础必需动作,始终可用
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```python
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action_activation_type = ActionActivationType.ALWAYS
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focus_activation_type = ActionActivationType.ALWAYS
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normal_activation_type = ActionActivationType.ALWAYS
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```
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**示例**:`reply_action`, `no_reply_action`
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### 2. RANDOM - 随机激活
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**用途**:增加不可预测性和趣味性
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```python
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action_activation_type = ActionActivationType.RANDOM
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focus_activation_type = ActionActivationType.RANDOM
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normal_activation_type = ActionActivationType.RANDOM
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random_activation_probability = 0.2 # 20%概率激活
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```
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**示例**:`pic_action` (20%概率)
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**示例**:`vtb_action` (表情动作)
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### 3. LLM_JUDGE - LLM智能判定
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**用途**:需要上下文理解的复杂判定
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```python
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action_activation_type = ActionActivationType.LLM_JUDGE
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llm_judge_prompt = """
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判定条件:
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1. 当前聊天涉及情感表达
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2. 需要生动的情感回应
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3. 场景适合虚拟主播动作
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不适用场景:
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1. 纯信息查询
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2. 技术讨论
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"""
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focus_activation_type = ActionActivationType.LLM_JUDGE
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# 注意:Normal模式使用LLM_JUDGE会产生性能警告
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normal_activation_type = ActionActivationType.KEYWORD # 推荐在Normal模式使用KEYWORD
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```
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**优化特性**:
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- ⚡ **直接判定**:直接进行LLM判定,减少复杂度
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@@ -49,11 +85,115 @@ llm_judge_prompt = """
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### 4. KEYWORD - 关键词触发
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**用途**:精确命令式触发
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```python
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action_activation_type = ActionActivationType.KEYWORD
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focus_activation_type = ActionActivationType.KEYWORD
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["画", "画图", "生成图片", "draw"]
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keyword_case_sensitive = False # 不区分大小写
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```
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**示例**:`help_action`, `edge_search_action`, `pic_action`
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**示例**:`pic_action`, `mute_action`
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## 模式启用控制 (ChatMode)
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### 模式类型
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```python
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from src.chat.chat_mode import ChatMode
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# 在所有模式下启用
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mode_enable = ChatMode.ALL # 默认值
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# 仅在Focus模式启用
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mode_enable = ChatMode.FOCUS
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# 仅在Normal模式启用
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mode_enable = ChatMode.NORMAL
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```
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### 使用场景建议
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- **ChatMode.ALL**: 通用功能(如回复、图片生成)
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- **ChatMode.FOCUS**: 需要深度理解的智能功能
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- **ChatMode.NORMAL**: 快速响应的基础功能
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## 并行动作系统 🆕
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### 概念说明
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```python
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# 并行动作:与回复生成同时执行
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parallel_action = True # 不会阻止回复,提升用户体验
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# 串行动作:替代回复生成(传统行为)
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parallel_action = False # 默认值,动作执行时不生成回复
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```
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### 适用场景
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**并行动作 (parallel_action = True)**:
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- 情感表达(表情、动作)
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- 状态变更(禁言、设置)
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- 辅助功能(TTS播报)
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**串行动作 (parallel_action = False)**:
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- 内容生成(图片、文档)
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- 搜索查询
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- 需要完整注意力的操作
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### 实际案例
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```python
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@register_action
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class MuteAction(PluginAction):
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action_name = "mute_action"
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["禁言", "mute", "ban", "silence"]
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parallel_action = True # 禁言的同时还可以回复确认信息
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@register_action
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class PicAction(PluginAction):
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action_name = "pic_action"
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["画", "绘制", "生成图片", "画图", "draw", "paint"]
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parallel_action = False # 专注于图片生成,不同时回复
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```
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## 推荐配置模式
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### 模式1:智能自适应(推荐)
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```python
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# Focus模式智能判定,Normal模式快速触发
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["相关", "关键词", "英文keyword"]
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mode_enable = ChatMode.ALL
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parallel_action = False # 根据具体需求调整
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```
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### 模式2:统一关键词
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```python
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# 两个模式都使用关键词,确保行为一致
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focus_activation_type = ActionActivationType.KEYWORD
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["画", "图片", "生成"]
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mode_enable = ChatMode.ALL
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parallel_action = False
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```
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### 模式3:Focus专享功能
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```python
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# 仅在Focus模式启用的高级功能
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.ALWAYS # 不会生效
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mode_enable = ChatMode.FOCUS
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parallel_action = False
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```
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### 模式4:随机娱乐功能
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```python
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# 增加趣味性的随机功能
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focus_activation_type = ActionActivationType.RANDOM
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normal_activation_type = ActionActivationType.RANDOM
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random_activation_probability = 0.08 # 8%概率
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mode_enable = ChatMode.ALL
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parallel_action = True # 通常与回复并行
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```
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## 性能优化详解
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@@ -194,26 +334,22 @@ focus_chat:
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```python
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from src.chat.focus_chat.planners.actions.plugin_action import PluginAction, register_action, ActionActivationType
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from src.chat.chat_mode import ChatMode
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@register_action
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class MyAction(PluginAction):
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action_name = "my_action"
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action_description = "我的自定义动作"
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# 选择合适的激活类型
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action_activation_type = ActionActivationType.LLM_JUDGE
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# 双激活类型配置
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["自定义", "触发", "custom"]
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# LLM判定的自定义提示词
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llm_judge_prompt = """
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判定是否激活my_action的条件:
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1. 用户明确要求执行特定操作
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2. 当前场景适合此动作
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3. 没有其他更合适的动作
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不应激活的情况:
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1. 普通聊天对话
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2. 用户只是随便说说
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"""
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# 模式和并行控制
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mode_enable = ChatMode.ALL
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parallel_action = False
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enable_plugin = True
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async def process(self):
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# 动作执行逻辑
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@@ -225,9 +361,12 @@ class MyAction(PluginAction):
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@register_action
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class SearchAction(PluginAction):
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action_name = "search_action"
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action_activation_type = ActionActivationType.KEYWORD
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focus_activation_type = ActionActivationType.KEYWORD
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["搜索", "查找", "什么是", "search", "find"]
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keyword_case_sensitive = False
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mode_enable = ChatMode.ALL
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parallel_action = False
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```
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### 随机触发动作
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@@ -235,8 +374,51 @@ class SearchAction(PluginAction):
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@register_action
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class SurpriseAction(PluginAction):
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action_name = "surprise_action"
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action_activation_type = ActionActivationType.RANDOM
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focus_activation_type = ActionActivationType.RANDOM
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normal_activation_type = ActionActivationType.RANDOM
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random_activation_probability = 0.1 # 10%概率
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mode_enable = ChatMode.ALL
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parallel_action = True # 惊喜动作与回复并行
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```
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### Focus专享智能动作
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```python
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@register_action
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class AdvancedAnalysisAction(PluginAction):
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action_name = "advanced_analysis"
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.ALWAYS # 不会生效
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mode_enable = ChatMode.FOCUS # 仅Focus模式
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parallel_action = False
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```
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## 现有插件的配置示例
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### MuteAction (禁言动作)
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```python
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["禁言", "mute", "ban", "silence"]
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mode_enable = ChatMode.ALL
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parallel_action = True # 可以与回复同时进行
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```
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### PicAction (图片生成)
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```python
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["画", "绘制", "生成图片", "画图", "draw", "paint", "图片生成"]
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mode_enable = ChatMode.ALL
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parallel_action = False # 专注生成,不同时回复
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```
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### VTBAction (虚拟主播表情)
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```python
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.RANDOM
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random_activation_probability = 0.08
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mode_enable = ChatMode.ALL
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parallel_action = False # 替代文字回复
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```
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## 性能监控
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@@ -257,6 +439,101 @@ logger.debug(f"并行调整动作、回忆和处理完成,耗时: {duration:.2
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3. **监控并行效果**:关注 `asyncio.gather` 的执行时间
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4. **缓存命中率**:监控缓存使用情况,优化策略
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5. **启用流程并行化**:确保 `parallel_processing` 配置为 `true`
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6. **激活类型选择**:Normal模式优先使用KEYWORD,避免LLM_JUDGE
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## 迁移指南 ⚠️
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### 重大变更说明
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**旧的 `action_activation_type` 属性已被移除**,必须更新为新的双激活类型系统。
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### 快速迁移步骤
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#### 第一步:更新基本属性
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```python
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# 旧的配置(已废弃)❌
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class OldAction(BaseAction):
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action_activation_type = ActionActivationType.LLM_JUDGE
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# 新的配置(必须使用)✅
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class NewAction(BaseAction):
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD
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activation_keywords = ["相关", "关键词"]
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mode_enable = ChatMode.ALL
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parallel_action = False
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enable_plugin = True
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```
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#### 第二步:根据原类型选择对应策略
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```python
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# 原来是 ALWAYS
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focus_activation_type = ActionActivationType.ALWAYS
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normal_activation_type = ActionActivationType.ALWAYS
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# 原来是 LLM_JUDGE
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focus_activation_type = ActionActivationType.LLM_JUDGE
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normal_activation_type = ActionActivationType.KEYWORD # 添加关键词
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activation_keywords = ["需要", "添加", "关键词"]
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# 原来是 KEYWORD
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focus_activation_type = ActionActivationType.KEYWORD
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normal_activation_type = ActionActivationType.KEYWORD
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# 保持原有的 activation_keywords
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# 原来是 RANDOM
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focus_activation_type = ActionActivationType.RANDOM
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normal_activation_type = ActionActivationType.RANDOM
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# 保持原有的 random_activation_probability
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```
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#### 第三步:配置新功能
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```python
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# 添加模式控制
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mode_enable = ChatMode.ALL # 或 ChatMode.FOCUS / ChatMode.NORMAL
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# 添加并行控制
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parallel_action = False # 根据动作特性选择True/False
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# 添加插件控制
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enable_plugin = True # 是否启用此插件
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```
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### 批量迁移脚本
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可以创建以下脚本来帮助批量迁移:
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```python
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# migrate_actions.py
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import os
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import re
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def migrate_action_file(filepath):
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with open(filepath, 'r', encoding='utf-8') as f:
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content = f.read()
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# 替换 action_activation_type
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if 'action_activation_type = ActionActivationType.ALWAYS' in content:
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content = content.replace(
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'action_activation_type = ActionActivationType.ALWAYS',
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'focus_activation_type = ActionActivationType.ALWAYS\n normal_activation_type = ActionActivationType.ALWAYS'
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)
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elif 'action_activation_type = ActionActivationType.LLM_JUDGE' in content:
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content = content.replace(
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'action_activation_type = ActionActivationType.LLM_JUDGE',
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'focus_activation_type = ActionActivationType.LLM_JUDGE\n normal_activation_type = ActionActivationType.KEYWORD\n activation_keywords = ["需要", "添加", "关键词"] # TODO: 配置合适的关键词'
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)
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# ... 其他替换逻辑
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# 添加新属性
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if 'mode_enable' not in content:
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# 在class定义后添加新属性
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# ...
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with open(filepath, 'w', encoding='utf-8') as f:
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f.write(content)
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# 使用示例
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migrate_action_file('src/plugins/your_plugin/actions/your_action.py')
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```
|
||||
|
||||
## 测试验证
|
||||
|
||||
@@ -271,41 +548,54 @@ python test_parallel_optimization.py
|
||||
```
|
||||
|
||||
测试内容包括:
|
||||
- ✅ 双激活类型功能验证
|
||||
- ✅ 并行处理功能验证
|
||||
- ✅ 缓存机制效果测试
|
||||
- ✅ 分层判定规则验证
|
||||
- ✅ 性能对比分析
|
||||
- ✅ HFC流程并行化效果
|
||||
- ✅ 多循环平均性能测试
|
||||
- ✅ 并行动作系统验证
|
||||
- ✅ 迁移兼容性测试
|
||||
|
||||
## 最佳实践
|
||||
|
||||
### 1. 激活类型选择
|
||||
- **ALWAYS**:reply, no_reply 等基础动作
|
||||
- **LLM_JUDGE**:需要智能判断的复杂动作
|
||||
- **KEYWORD**:明确的命令式动作
|
||||
- **LLM_JUDGE**:需要智能判断的复杂动作(建议仅用于Focus模式)
|
||||
- **KEYWORD**:明确的命令式动作(推荐在Normal模式使用)
|
||||
- **RANDOM**:增趣动作,低概率触发
|
||||
|
||||
### 2. LLM判定提示词编写
|
||||
### 2. 双模式配置策略
|
||||
- **智能自适应**:Focus用LLM_JUDGE,Normal用KEYWORD
|
||||
- **性能优先**:两个模式都用KEYWORD或RANDOM
|
||||
- **功能分离**:某些功能仅在特定模式启用
|
||||
|
||||
### 3. 并行动作使用建议
|
||||
- **parallel_action = True**:辅助性、非内容生成类动作
|
||||
- **parallel_action = False**:主要内容生成、需要完整注意力的动作
|
||||
|
||||
### 4. LLM判定提示词编写
|
||||
- 明确描述激活条件和排除条件
|
||||
- 避免模糊的描述
|
||||
- 考虑边界情况
|
||||
- 保持简洁明了
|
||||
|
||||
### 3. 关键词设置
|
||||
### 5. 关键词设置
|
||||
- 包含同义词和英文对应词
|
||||
- 考虑用户的不同表达习惯
|
||||
- 避免过于宽泛的关键词
|
||||
- 根据实际使用调整
|
||||
|
||||
### 4. 性能优化
|
||||
### 6. 性能优化
|
||||
- 定期监控处理时间
|
||||
- 根据使用模式调整缓存策略
|
||||
- 优化激活判定逻辑
|
||||
- 平衡准确性和性能
|
||||
- **启用并行处理配置**
|
||||
- **Normal模式避免使用LLM_JUDGE**
|
||||
|
||||
### 5. 并行化最佳实践
|
||||
### 7. 并行化最佳实践
|
||||
- 在生产环境启用 `parallel_processing`
|
||||
- 监控并行阶段的执行时间
|
||||
- 确保各阶段的独立性
|
||||
@@ -313,30 +603,48 @@ python test_parallel_optimization.py
|
||||
|
||||
## 总结
|
||||
|
||||
优化后的动作激活系统通过**四层优化策略**,实现了全方位的性能提升:
|
||||
优化后的动作激活系统通过**五层优化策略**,实现了全方位的性能提升:
|
||||
|
||||
### 第一层:动作激活内部优化
|
||||
### 第一层:双激活类型系统
|
||||
- **Focus模式**:智能化优先,支持复杂LLM判定
|
||||
- **Normal模式**:性能优先,使用快速关键词匹配
|
||||
- **模式自适应**:根据聊天模式选择最优策略
|
||||
|
||||
### 第二层:动作激活内部优化
|
||||
- **并行判定**:多个LLM判定任务并行执行
|
||||
- **智能缓存**:相同上下文的判定结果缓存复用
|
||||
- **分层判定**:快速过滤 + 精确判定的两层架构
|
||||
|
||||
### 第二层:HFC流程级并行化
|
||||
### 第三层:并行动作系统
|
||||
- **并行执行**:支持动作与回复同时进行
|
||||
- **用户体验**:减少等待时间,提升交互流畅性
|
||||
- **灵活控制**:每个动作可独立配置并行行为
|
||||
|
||||
### 第四层:HFC流程级并行化
|
||||
- **三阶段并行**:调整动作、回忆、处理器同时执行
|
||||
- **性能提升**:2.3x 理论加速比
|
||||
- **配置控制**:可根据环境灵活开启/关闭
|
||||
|
||||
### 第五层:插件系统增强
|
||||
- **enable_plugin**:精确控制插件启用状态
|
||||
- **mode_enable**:支持模式级别的功能控制
|
||||
- **向后兼容**:平滑迁移旧系统配置
|
||||
|
||||
### 综合效果
|
||||
- **响应速度**:显著提升机器人反应速度
|
||||
- **成本优化**:减少不必要的LLM调用
|
||||
- **智能决策**:四种激活类型覆盖所有场景
|
||||
- **智能决策**:双激活类型覆盖所有场景
|
||||
- **用户体验**:更快速、更智能的交互
|
||||
- **灵活配置**:精细化的功能控制
|
||||
|
||||
**总性能提升预估:3-5x**
|
||||
- 动作激活系统内部优化:1.5-2x
|
||||
**总性能提升预估:4-6x**
|
||||
- 双激活类型系统:1.5x (Normal模式优化)
|
||||
- 动作激活内部优化:1.5-2x
|
||||
- HFC流程并行化:2.3x
|
||||
- 并行动作系统:额外30-50%提升
|
||||
- 缓存和过滤优化:额外20-30%提升
|
||||
|
||||
这使得MaiBot能够更快速、更智能地响应用户需求,提供卓越的交互体验。
|
||||
这使得MaiBot能够更快速、更智能地响应用户需求,同时提供灵活的配置选项以适应不同的使用场景,实现了卓越的交互体验。
|
||||
|
||||
## 如何为Action添加激活类型
|
||||
|
||||
@@ -344,17 +652,24 @@ python test_parallel_optimization.py
|
||||
|
||||
```python
|
||||
from src.chat.focus_chat.planners.actions.base_action import BaseAction, register_action, ActionActivationType
|
||||
from src.chat.chat_mode import ChatMode
|
||||
|
||||
@register_action
|
||||
class YourAction(BaseAction):
|
||||
action_name = "your_action"
|
||||
action_description = "你的动作描述"
|
||||
|
||||
# 设置激活类型 - 关键词触发示例
|
||||
action_activation_type = ActionActivationType.KEYWORD
|
||||
# 双激活类型配置
|
||||
focus_activation_type = ActionActivationType.LLM_JUDGE
|
||||
normal_activation_type = ActionActivationType.KEYWORD
|
||||
activation_keywords = ["关键词1", "关键词2", "keyword"]
|
||||
keyword_case_sensitive = False
|
||||
|
||||
# 新增属性
|
||||
mode_enable = ChatMode.ALL
|
||||
parallel_action = False
|
||||
enable_plugin = True
|
||||
|
||||
# ... 其他代码
|
||||
```
|
||||
|
||||
@@ -362,48 +677,47 @@ class YourAction(BaseAction):
|
||||
|
||||
```python
|
||||
from src.chat.focus_chat.planners.actions.plugin_action import PluginAction, register_action, ActionActivationType
|
||||
from src.chat.chat_mode import ChatMode
|
||||
|
||||
@register_action
|
||||
class YourPluginAction(PluginAction):
|
||||
action_name = "your_plugin_action"
|
||||
action_description = "你的插件动作描述"
|
||||
|
||||
# 设置激活类型 - 关键词触发示例
|
||||
action_activation_type = ActionActivationType.KEYWORD
|
||||
# 双激活类型配置
|
||||
focus_activation_type = ActionActivationType.KEYWORD
|
||||
normal_activation_type = ActionActivationType.KEYWORD
|
||||
activation_keywords = ["触发词1", "trigger", "启动"]
|
||||
keyword_case_sensitive = False
|
||||
|
||||
# 新增属性
|
||||
mode_enable = ChatMode.ALL
|
||||
parallel_action = True # 与回复并行执行
|
||||
enable_plugin = True
|
||||
|
||||
# ... 其他代码
|
||||
```
|
||||
|
||||
## 现有Action的激活类型设置
|
||||
|
||||
### 基础动作 (ALWAYS)
|
||||
- `reply` - 回复动作
|
||||
- `no_reply` - 不回复动作
|
||||
|
||||
### LLM判定动作 (LLM_JUDGE)
|
||||
- `vtb_action` - 虚拟主播表情
|
||||
- `mute_action` - 禁言动作
|
||||
|
||||
### 关键词触发动作 (KEYWORD) 🆕
|
||||
- `edge_search_action` - 网络搜索 (搜索、查找、什么是等)
|
||||
- `pic_action` - 图片生成 (画、画图、生成图片等)
|
||||
- `help_action` - 帮助功能 (帮助、help、求助等)
|
||||
|
||||
## 工作流程
|
||||
|
||||
1. **ActionModifier处理**: 在planner运行前,ActionModifier会遍历所有注册的动作
|
||||
2. **类型判断**: 根据每个动作的激活类型决定是否激活
|
||||
3. **激活决策**:
|
||||
2. **模式检查**: 根据当前聊天模式(Focus/Normal)和action的mode_enable进行过滤
|
||||
3. **激活类型判断**: 根据当前模式选择对应的激活类型(focus_activation_type或normal_activation_type)
|
||||
4. **激活决策**:
|
||||
- ALWAYS: 直接激活
|
||||
- RANDOM: 根据概率随机决定
|
||||
- LLM_JUDGE: 调用小模型判定
|
||||
- LLM_JUDGE: 调用小模型判定(Normal模式会警告)
|
||||
- KEYWORD: 检测关键词匹配
|
||||
4. **结果收集**: 收集所有激活的动作供planner使用
|
||||
5. **并行性检查**: 根据parallel_action决定是否与回复并行
|
||||
6. **结果收集**: 收集所有激活的动作供planner使用
|
||||
|
||||
## 配置建议
|
||||
|
||||
### 双激活类型策略选择
|
||||
- **智能自适应(推荐)**: Focus用LLM_JUDGE,Normal用KEYWORD
|
||||
- **性能优先**: 两个模式都用KEYWORD或RANDOM
|
||||
- **功能专享**: 某些高级功能仅在Focus模式启用
|
||||
|
||||
### LLM判定提示词编写
|
||||
- 明确指出激活条件和不激活条件
|
||||
- 使用简单清晰的语言
|
||||
@@ -423,6 +737,7 @@ class YourPluginAction(PluginAction):
|
||||
### 性能考虑
|
||||
- LLM判定会增加响应时间,适度使用
|
||||
- 关键词检测性能最好,推荐优先使用
|
||||
- Normal模式避免使用LLM_JUDGE
|
||||
- 建议优先级:KEYWORD > ALWAYS > RANDOM > LLM_JUDGE
|
||||
|
||||
## 调试和测试
|
||||
@@ -434,20 +749,25 @@ python test_action_activation.py
|
||||
```
|
||||
|
||||
该脚本会显示:
|
||||
- 所有注册动作的激活类型
|
||||
- 模拟不同消息下的激活结果
|
||||
- 所有注册动作的双激活类型配置
|
||||
- 模拟不同模式下的激活结果
|
||||
- 并行动作系统的工作状态
|
||||
- 帮助验证配置是否正确
|
||||
|
||||
## 注意事项
|
||||
|
||||
1. **向后兼容**: 未设置激活类型的动作默认为ALWAYS
|
||||
2. **错误处理**: LLM判定失败时默认不激活该动作
|
||||
3. **日志记录**: 系统会记录激活决策过程,便于调试
|
||||
4. **性能影响**: LLM判定会略微增加响应时间
|
||||
1. **重大变更**: `action_activation_type` 已被移除,必须使用双激活类型
|
||||
2. **向后兼容**: 系统不再兼容旧的单一激活类型配置
|
||||
3. **错误处理**: LLM判定失败时默认不激活该动作
|
||||
4. **性能警告**: Normal模式使用LLM_JUDGE会产生警告
|
||||
5. **日志记录**: 系统会记录激活决策过程,便于调试
|
||||
6. **性能影响**: LLM判定会略微增加响应时间
|
||||
|
||||
## 未来扩展
|
||||
|
||||
系统设计支持未来添加更多激活类型,如:
|
||||
系统设计支持未来添加更多激活类型和功能,如:
|
||||
- 基于时间的激活
|
||||
- 基于用户权限的激活
|
||||
- 基于群组设置的激活
|
||||
- 基于群组设置的激活
|
||||
- 基于对话历史的激活
|
||||
- 基于情感状态的激活
|
||||
Reference in New Issue
Block a user