5916d2749c
- 新增 common/ 公共模块：模型、服务、组件、常量 - 新增 features/ 功能模块：graph(星图)、chat(聊天)、settings(设置)、commonbusiness - 新增 products/phone 产品入口层：EntryAbility + Index + MainPage - Index.ets 简化为纯路由入口，TabNavigation 移至 MainPage 统一管理 - 更新 build-profile.json5 注册所有新模块 - 迁移原始 entry/ 代码到分层架构，保持功能完整
881 lines
34 KiB
Plaintext
881 lines
34 KiB
Plaintext
/**
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* AIAgentService - AI Agent 服务层
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* 管理上下文感知的 AI 对话，注入图数据作为上下文，
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* 解析 AI 返回中的记忆操作，调用 GraphMemoryService 执行
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* 参考：main 分支 core/graph_client.py
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*/
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import http from '@ohos.net.http';
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import dataPreferences from '@ohos.data.preferences';
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import { Context } from '@ohos.abilityAccessCtrl';
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import { GraphMemoryService, EntityInfo, RelationInfo, TaskInfo, MemoryRecallParams, MemoryCommitParams, MemoryPurgeParams, PurgeCriteriaParams, NewRelationParams, PersonaUpdateParams, TaskCreateParams, TaskSetStateParams, TaskDeleteParams, TaskLinkInfoParams, TaskArchiveParams, TaskQueryParams, TripletInput, PersonaQueryResult, TaskQueryResult, MemoryRecallResult } from './GraphMemoryService';
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import { TimeRangeParams } from '../model/GraphDatabase';
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export interface ChatMessage {
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role: string;
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content: string;
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}
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export interface AgentResponse {
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content: string;
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toolCalls: ToolCallResult[];
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}
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export interface ToolCallResult {
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name: string;
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success: boolean;
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message: string;
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}
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// ========= 工具定义类型 =========
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// Concrete interface for tool property definitions (replaces Record<string, T>)
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interface ToolPropertiesDefinition {
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days?: ToolParamProperty;
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queryIntent?: ToolParamProperty;
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seedEntities?: ToolParamProperty;
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depth?: ToolParamProperty;
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timeRange?: ToolParamProperty;
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sessionFilter?: ToolParamProperty;
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triplets?: ToolParamProperty;
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entityTypes?: ToolParamProperty;
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sessionId?: ToolParamProperty;
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turnId?: ToolParamProperty;
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criteria?: ToolParamProperty;
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mode?: ToolParamProperty;
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newRelation?: ToolParamProperty;
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tone?: ToolParamProperty;
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style?: ToolParamProperty;
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personality?: ToolParamProperty;
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catchphrase?: ToolParamProperty;
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background?: ToolParamProperty;
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taskId?: ToolParamProperty;
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description?: ToolParamProperty;
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infoNodes?: ToolParamProperty;
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state?: ToolParamProperty;
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deleteInfoNodes?: ToolParamProperty;
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infoNodeNames?: ToolParamProperty;
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summary?: ToolParamProperty;
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limit?: ToolParamProperty;
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stateFilter?: ToolParamProperty;
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subject?: ToolParamProperty;
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relation?: ToolParamProperty;
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object?: ToolParamProperty;
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confidence?: ToolParamProperty;
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subjectContains?: ToolParamProperty;
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relationType?: ToolParamProperty;
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targetContains?: ToolParamProperty;
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target?: ToolParamProperty;
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dryRun?: ToolParamProperty;
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keyword?: ToolParamProperty;
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attribute?: ToolParamProperty;
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}
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interface ToolParamProperty {
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type: string;
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description: string;
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items?: ToolParamProperty;
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properties?: ToolPropertiesDefinition;
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required?: string[];
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enum?: string[];
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}
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interface ToolParamDecl {
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type: string;
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properties: ToolPropertiesDefinition;
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required?: string[];
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}
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interface ToolFunctionDecl {
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name: string;
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description: string;
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parameters: ToolParamDecl;
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}
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interface ToolFunctionDef {
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type: string;
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function: ToolFunctionDecl;
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}
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// ========= API 请求/响应结构 =========
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interface ApiRequestMessage {
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role: string;
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content: string;
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}
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interface ApiRequest {
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model: string;
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messages: ApiRequestMessage[];
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tools?: ToolFunctionDef[];
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tool_choice?: string;
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}
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interface ApiToolCall {
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id: string;
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type: string;
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function: ToolFunctionCall;
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}
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interface ToolFunctionCall {
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name: string;
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arguments: string;
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}
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interface ApiChoiceMessage {
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content?: string;
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tool_calls?: ApiToolCall[];
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}
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interface ApiChoice {
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message: ApiChoiceMessage;
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}
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interface ApiResponse {
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choices: ApiChoice[];
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}
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// ========= 内部结果类型 =========
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interface ExecuteToolResult {
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name: string;
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success: boolean;
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message: string;
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}
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interface BuildContextBlockParams {
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persona: Record<string, string>;
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found: boolean;
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entities: EntityInfo[];
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relations: RelationInfo[];
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message: string;
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}
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// ========= 服务方法参数类型 =========
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// ========= 工具定义辅助函数 =========
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function makeStringProp(description: string): ToolParamProperty {
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const result: ToolParamProperty = { type: 'string', description: description };
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return result;
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}
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function makeIntegerProp(description: string): ToolParamProperty {
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const result: ToolParamProperty = { type: 'integer', description: description };
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return result;
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}
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function makeObjectProp(description: string, props: ToolPropertiesDefinition, required?: string[]): ToolParamProperty {
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const param: ToolParamProperty = { type: 'object', description: description };
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param.properties = props;
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if (required && required.length > 0) {
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param.required = required;
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}
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return param;
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}
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function makeArrayProp(description: string, item: ToolParamProperty): ToolParamProperty {
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const result: ToolParamProperty = { type: 'array', description: description, items: item };
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return result;
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}
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function makeBoolProp(description: string): ToolParamProperty {
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const result: ToolParamProperty = { type: 'boolean', description: description };
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return result;
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}
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function makeNumberProp(description: string): ToolParamProperty {
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const result: ToolParamProperty = { type: 'number', description: description };
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return result;
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}
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function makeEnumProp(description: string, enumValues: string[]): ToolParamProperty {
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const result: ToolParamProperty = { type: 'string', description: description, enum: enumValues };
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return result;
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}
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function makeToolDef(name: string, description: string, properties: ToolPropertiesDefinition, required?: string[]): ToolFunctionDef {
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const params: ToolParamDecl = { type: 'object', properties: properties };
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const func: ToolFunctionDecl = { name: name, description: description, parameters: params };
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const tool: ToolFunctionDef = { type: 'function', function: func };
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if (required && required.length > 0) {
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tool.function.parameters.required = required;
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}
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return tool;
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}
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/**
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* 系统提示词 — AI 人设 + 图记忆使用说明
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*/
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function buildSystemPrompt(personaContext: string): string {
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return `你是 TrulyMEM（True Memory）——一个拥有真实记忆的 AI 助手。
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## 核心身份
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${personaContext || '你是一个帮助用户记录和回忆信息的助手。你的核心能力是基于图数据库的记忆系统。'}
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## 记忆系统
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你的记忆存储在图数据库中，每个记忆都是「实体 - 关系 - 实体」的三元组形式。
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每轮对话开始，你都会按以下顺序操作：
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### 步骤1：查询人设
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使用 memory_recall 查询当前人设，确保回复风格一致。
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### 步骤2：查询工作记忆链
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使用 memory_recall 查询任务链，了解会话上下文和进展中的任务。
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### 步骤3：处理用户请求
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### 步骤4：更新工作记忆链
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## 可用工具
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- memory_recall(queryIntent, seedEntities?, depth?, timeRange?, sessionFilter?): 检索记忆
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- memory_commit(triplets, entityTypes?, sessionId?, turnId?): 写入记忆
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- memory_purge(criteria, mode, newRelation?): 删除/修正记忆
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- memory_introspect(sessionId?): 查看记忆状态统计
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- memory_archive(days?): 归档旧记忆
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- memory_cleanup(dryRun?): 清理已删除数据
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- memory_query_archived(days?, keyword?): 查询已归档记忆
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- context_rewrite(summary): 压缩工具调用上下文
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- persona_update(tone?, style?, personality?, catchphrase?, background?): 更新人设
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- persona_remove(attribute): 删除单条人设属性
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- persona_clear(): 清除人设
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- task_create(taskId, description, infoNodes?): 创建任务
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- task_set_state(taskId, state): 设置任务状态
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- task_delete(taskId, deleteInfoNodes?): 删除任务
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- task_link_info(taskId, infoNodeNames): 关联信息节点
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- task_archive(taskId, summary?): 归档任务
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- task_query(limit?, stateFilter?): 查询任务列表
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## 工具调用规则
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1. 每轮对话必须按顺序执行：步骤1查询人设 → 步骤2查询工作记忆链 → 步骤3处理请求
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2. context_rewrite 必须单独调用，不能和其他工具在同一轮一起调！
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3. 工具调用 ≥5 次后应使用 context_rewrite 压缩上下文
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## 写入规则
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用户明确表达以下信息时必须写入记忆：
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- 偏好、兴趣
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- 个人信息（工作、项目、学习）
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- 计划安排
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- 当前状态
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- 结论性事实
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推理得到的信息可以写入但需标注 [推测]。`;
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}
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// ========= 工具定义 =========
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// Pre-typed property dictionaries for tool definitions
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const recallTimeRangeDict: ToolPropertiesDefinition = { days: makeIntegerProp('最近N天') };
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const tripletPropsDict: ToolPropertiesDefinition = {
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subject: makeStringProp('主体'),
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relation: makeStringProp('关系'),
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object: makeStringProp('客体'),
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confidence: makeNumberProp('置信度')
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};
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const purgeCriteriaDict: ToolPropertiesDefinition = {
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subjectContains: makeStringProp(''),
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relationType: makeStringProp(''),
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targetContains: makeStringProp(''),
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sessionId: makeStringProp('')
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};
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const newRelDict: ToolPropertiesDefinition = {
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relation: makeStringProp(''),
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target: makeStringProp('')
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};
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const EMPTY_PROPS: ToolPropertiesDefinition = {};
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const recallProps: ToolPropertiesDefinition = {
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queryIntent: makeStringProp('查询意图，支持逗号分隔多个关键词'),
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seedEntities: makeArrayProp('种子实体（可选）', makeStringProp('')),
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depth: makeIntegerProp('搜索深度，默认2'),
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timeRange: makeObjectProp('时间范围（可选）', recallTimeRangeDict),
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sessionFilter: makeStringProp('会话ID过滤（可选）')
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};
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const commitProps: ToolPropertiesDefinition = {
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triplets: makeArrayProp('三元组列表', makeObjectProp('', tripletPropsDict, ['subject', 'relation', 'object'])),
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entityTypes: makeObjectProp('实体类型映射（可选）', EMPTY_PROPS),
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sessionId: makeStringProp('会话ID（可选）'),
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turnId: makeIntegerProp('轮次ID（可选）')
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};
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const purgeProps: ToolPropertiesDefinition = {
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criteria: makeObjectProp('删除条件', purgeCriteriaDict),
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mode: makeEnumProp('删除模式：soft逻辑删除, hard物理删除, supersede纠错替代', ['soft', 'hard', 'supersede']),
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newRelation: makeObjectProp('替代关系（supersede模式用）', newRelDict)
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};
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const personaProps: ToolPropertiesDefinition = {
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tone: makeStringProp('语气'),
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style: makeStringProp('风格'),
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personality: makeStringProp('性格'),
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catchphrase: makeStringProp('口头禅'),
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background: makeStringProp('背景')
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};
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const createProps: ToolPropertiesDefinition = {
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taskId: makeStringProp('任务ID'),
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description: makeStringProp('任务描述'),
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infoNodes: makeArrayProp('关联的信息节点名称列表', makeStringProp(''))
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};
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const setStateProps: ToolPropertiesDefinition = {
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taskId: makeStringProp('任务ID'),
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state: makeEnumProp('任务状态', ['进行中', '已完成', '已暂停', '已取消'])
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};
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const deleteProps: ToolPropertiesDefinition = {
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taskId: makeStringProp('任务ID'),
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deleteInfoNodes: makeBoolProp('是否删除关联的信息节点')
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};
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const linkInfoProps: ToolPropertiesDefinition = {
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taskId: makeStringProp('任务ID'),
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infoNodeNames: makeArrayProp('信息节点名称列表', makeStringProp(''))
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};
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const archiveProps: ToolPropertiesDefinition = {
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taskId: makeStringProp('任务ID'),
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summary: makeStringProp('归档摘要')
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};
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const queryProps: ToolPropertiesDefinition = {
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limit: makeIntegerProp('返回数量，默认10'),
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stateFilter: makeStringProp('状态过滤: 进行中/已完成/已暂停/已取消/archived')
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};
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const introspectProps: ToolPropertiesDefinition = {
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sessionId: makeStringProp('会话ID（可选）')
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};
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const archiveProps2: ToolPropertiesDefinition = {
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days: makeIntegerProp('归档天数，默认30')
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};
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const cleanupProps: ToolPropertiesDefinition = {
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dryRun: makeBoolProp('仅预览不删除')
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};
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const queryArchivedProps: ToolPropertiesDefinition = {
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days: makeIntegerProp('最近N天内的归档记录'),
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keyword: makeStringProp('关键词过滤')
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};
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const contextRewriteProps: ToolPropertiesDefinition = {
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summary: makeStringProp('压缩后的摘要文本，必须包含工具调用元信息')
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};
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const personaRemoveProps: ToolPropertiesDefinition = {
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attribute: makeStringProp('要删除的属性名（如：扮演角色、说话风格）')
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};
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const TOOLS_DEFINITION: ToolFunctionDef[] = [
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makeToolDef('memory_recall', '检索记忆。支持关键词、种子实体、深度扩展。返回相关实体和关系。', recallProps, ['queryIntent']),
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makeToolDef('memory_commit', '写入记忆。将三元组写入图数据库。', commitProps, ['triplets']),
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makeToolDef('memory_purge', '删除或修正记忆。支持条件删除和纠错替代。', purgeProps, ['criteria', 'mode']),
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makeToolDef('memory_introspect', '查看记忆状态。返回实体数量、关系数量、热点实体。', introspectProps),
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makeToolDef('memory_archive', '归档旧记忆。将N天前的非活跃关系标记为归档状态。', archiveProps2, ['days']),
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makeToolDef('memory_cleanup', '清理无效数据。物理删除已删除状态超过90天的关系和孤立节点。', cleanupProps),
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makeToolDef('memory_query_archived', '查询已归档的记忆。返回所有 status=archived 的关系记录。', queryArchivedProps),
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makeToolDef('context_rewrite', '压缩本轮对话的工具调用上下文。将冗长的JSON工具结果提炼为简洁摘要。', contextRewriteProps, ['summary']),
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makeToolDef('persona_update', '更新AI人设属性（语气、风格、性格等）。', personaProps),
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makeToolDef('persona_remove', '删除单条人设属性。保留其他人设不变。', personaRemoveProps, ['attribute']),
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makeToolDef('persona_clear', '清除所有人设信息。', EMPTY_PROPS),
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makeToolDef('task_create', '创建新的工作记忆任务节点。', createProps, ['taskId', 'description']),
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makeToolDef('task_set_state', '设置任务状态。', setStateProps, ['taskId', 'state']),
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makeToolDef('task_delete', '删除任务节点。', deleteProps, ['taskId']),
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makeToolDef('task_link_info', '关联信息节点到任务。', linkInfoProps, ['taskId', 'infoNodeNames']),
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makeToolDef('task_archive', '归档任务。将任务设为已暂停，写入归档摘要。', archiveProps, ['taskId']),
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makeToolDef('task_query', '查询最近的任务列表。', queryProps)
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];
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// ========= 工具名称映射 =========
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// Types for executeTool generic args
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type ToolStateArg = '进行中' | '已完成' | '已暂停' | '已取消';
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type ToolHandlerName =
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| 'memoryRecal'
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| 'memoryCommit'
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| 'memoryPurge'
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| 'memoryIntrospect'
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| 'memoryArchive'
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| 'memoryCleanup'
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| 'memoryQueryArchived'
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| 'contextRewrite'
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| 'personaUpdate'
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| 'personaRemove'
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| 'personaClear'
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| 'taskCreate'
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| 'taskSetState'
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| 'taskDelete'
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| 'taskLinkInfo'
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| 'taskArchive'
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| 'taskQuery';
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const TOOL_HANDLER_MAP: Record<string, ToolHandlerName> = {
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'memory_recall': 'memoryRecal',
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'memory_commit': 'memoryCommit',
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'memory_purge': 'memoryPurge',
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'memory_introspect': 'memoryIntrospect',
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'memory_archive': 'memoryArchive',
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'memory_cleanup': 'memoryCleanup',
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'memory_query_archived': 'memoryQueryArchived',
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'context_rewrite': 'contextRewrite',
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'persona_update': 'personaUpdate',
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'persona_remove': 'personaRemove',
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'persona_clear': 'personaClear',
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'task_create': 'taskCreate',
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'task_set_state': 'taskSetState',
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'task_delete': 'taskDelete',
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'task_link_info': 'taskLinkInfo',
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'task_archive': 'taskArchive',
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'task_query': 'taskQuery',
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};
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// ========= AIAgentService =========
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export class AIAgentService {
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private memoryService: GraphMemoryService;
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private currentSessionId: string;
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private turnCounter: number = 0;
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private appContext: Context;
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constructor(memoryService: GraphMemoryService, appContext: Context, sessionId?: string) {
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this.memoryService = memoryService;
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this.appContext = appContext;
|
||
this.currentSessionId = sessionId || `session-hm-${Date.now()}`;
|
||
}
|
||
|
||
getSessionId(): string {
|
||
return this.currentSessionId;
|
||
}
|
||
|
||
/**
|
||
* 发送消息 — 完整的 Agent 流程
|
||
* 1. 查询人设
|
||
* 2. 查询工作记忆链
|
||
* 3. 注入上下文后请求 AI
|
||
* 4. 处理 tool_calls
|
||
* 5. 返回最终回复
|
||
*/
|
||
async sendMessage(userInput: string): Promise<AgentResponse> {
|
||
this.turnCounter++;
|
||
|
||
// === 步骤1+2: 获取上下文 ===
|
||
const personaResult = await this.memoryService.personaQuery();
|
||
const personaContext: string = personaResult.found ? this.formatPersona(personaResult.persona) : '';
|
||
|
||
const recallParams: MemoryRecallParams = {
|
||
queryIntent: 'TaskNode,工作记忆,任务链',
|
||
depth: 2
|
||
};
|
||
const taskResult = await this.memoryService.memoryRecall(recallParams);
|
||
|
||
// === 读取 API 配置 ===
|
||
const context = this.appContext;
|
||
const pref = await dataPreferences.getPreferences(context, 'trulymem_config');
|
||
const baseUrl: string = String(await pref.get('base_url', 'https://api.deepseek.com'));
|
||
const model: string = String(await pref.get('model', 'deepseek-chat'));
|
||
const apiKey: string = String(await pref.get('api_key', ''));
|
||
if (!apiKey) {
|
||
const noKeyResponse: AgentResponse = {
|
||
content: '⚠️ API Key 未配置，请先在设置页填写 API Key。',
|
||
toolCalls: []
|
||
};
|
||
return noKeyResponse;
|
||
}
|
||
|
||
// === 构建上下文丰富的消息 ===
|
||
const systemPrompt: string = buildSystemPrompt(personaContext);
|
||
const contextBlock: string = this.buildContextBlock(personaResult, taskResult);
|
||
const sysMsg: ApiRequestMessage = { role: 'system' as string, content: systemPrompt };
|
||
const userMsg: ApiRequestMessage = { role: 'user' as string, content: contextBlock + '\n\n---\n\n用户消息: ' + userInput };
|
||
const messages: ApiRequestMessage[] = [sysMsg, userMsg];
|
||
|
||
// === 步骤3: 请求 AI ===
|
||
const response: ApiResponse = await this.callApi(messages, baseUrl, model, apiKey);
|
||
|
||
const toolCalls: ToolCallResult[] = [];
|
||
|
||
// === 步骤4: 处理 tool_calls ===
|
||
if (response.choices && response.choices.length > 0) {
|
||
const choice: ApiChoice = response.choices[0];
|
||
const aiMessage: ApiChoiceMessage = choice.message;
|
||
|
||
// 处理函数调用
|
||
if (aiMessage.tool_calls && aiMessage.tool_calls.length > 0) {
|
||
for (const tc of aiMessage.tool_calls) {
|
||
const handlerName: ToolHandlerName | undefined = TOOL_HANDLER_MAP[tc.function.name];
|
||
if (handlerName) {
|
||
const args: Record<string, Object> = JSON.parse(tc.function.arguments);
|
||
const result: ToolCallResult = await this.executeTool(handlerName, args);
|
||
toolCalls.push(result);
|
||
} else {
|
||
const unknownToolResult: ToolCallResult = {
|
||
name: tc.function.name,
|
||
success: false,
|
||
message: '未知工具'
|
||
};
|
||
toolCalls.push(unknownToolResult);
|
||
}
|
||
}
|
||
|
||
// 有 tool_calls 时需要再次请求 AI，带上工具执行结果
|
||
const followUpSystemMsg: ApiRequestMessage = { role: 'system', content: systemPrompt };
|
||
const followUpUserMsg: ApiRequestMessage = { role: 'user', content: contextBlock + '\n\n---\n\n用户消息: ' + userInput };
|
||
const followUpAssistantMsg: ApiRequestMessage = {
|
||
role: 'assistant',
|
||
content: aiMessage.content || '（已执行记忆操作）',
|
||
};
|
||
const toolResultsMessages: ApiRequestMessage[] = [
|
||
followUpSystemMsg,
|
||
followUpUserMsg,
|
||
followUpAssistantMsg,
|
||
];
|
||
|
||
for (const tc of aiMessage.tool_calls) {
|
||
const callResult: ToolCallResult | undefined = toolCalls.find(r => r.name === tc.function.name);
|
||
const toolResultMsg: string = callResult ? callResult.message : '完成';
|
||
const toolResultMessage: ApiRequestMessage = {
|
||
role: 'tool',
|
||
content: `工具 ${tc.function.name} 执行结果: ${toolResultMsg}`
|
||
};
|
||
toolResultsMessages.push(toolResultMessage);
|
||
}
|
||
|
||
const finalResponse: ApiResponse = await this.callApi(toolResultsMessages, baseUrl, model, apiKey);
|
||
if (finalResponse.choices && finalResponse.choices.length > 0) {
|
||
const content: string = finalResponse.choices[0].message.content || '';
|
||
const finalResult: AgentResponse = { content, toolCalls };
|
||
return finalResult;
|
||
}
|
||
}
|
||
|
||
// 普通回复（无 tool_calls）
|
||
const content: string = aiMessage.content || '';
|
||
const noToolResponse: AgentResponse = { content, toolCalls };
|
||
return noToolResponse;
|
||
}
|
||
|
||
const noResponse: AgentResponse = {
|
||
content: 'AI 无响应',
|
||
toolCalls
|
||
};
|
||
return noResponse;
|
||
}
|
||
|
||
/**
|
||
* 请求 DeepSeek API
|
||
*/
|
||
private async callApi(
|
||
messages: ApiRequestMessage[],
|
||
baseUrl: string,
|
||
model: string,
|
||
apiKey: string
|
||
): Promise<ApiResponse> {
|
||
const httpRequest = http.createHttp();
|
||
try {
|
||
const resp = await httpRequest.request(baseUrl + '/chat/completions', {
|
||
method: http.RequestMethod.POST,
|
||
header: {
|
||
'Content-Type': 'application/json',
|
||
'Authorization': 'Bearer ' + apiKey
|
||
},
|
||
extraData: {
|
||
model: model,
|
||
messages: messages,
|
||
tools: TOOLS_DEFINITION,
|
||
tool_choice: 'auto'
|
||
},
|
||
expectDataType: http.HttpDataType.OBJECT,
|
||
readTimeout: 60000
|
||
});
|
||
if (resp.responseCode === 200) {
|
||
return resp.result as ApiResponse;
|
||
}
|
||
const errorMsg: string = `API 请求失败: HTTP ${resp.responseCode}`;
|
||
throw new Error(errorMsg);
|
||
} finally {
|
||
httpRequest.destroy();
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 执行工具调用
|
||
*/
|
||
private async executeTool(name: ToolHandlerName, args: Record<string, Object>): Promise<ToolCallResult> {
|
||
try {
|
||
switch (name) {
|
||
case 'memoryRecal': {
|
||
const recallArgs: MemoryRecallParams = {
|
||
queryIntent: args.queryIntent as string,
|
||
seedEntities: args.seedEntities as string[],
|
||
depth: (args.depth as number) ?? 2,
|
||
timeRange: args.timeRange as TimeRangeParams,
|
||
sessionFilter: args.sessionFilter as string
|
||
};
|
||
const recallResult = await this.memoryService.memoryRecall(recallArgs);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_recall',
|
||
success: true,
|
||
message: `找到 ${recallResult.entities.length} 个实体, ${recallResult.relations.length} 条关系`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryCommit': {
|
||
const commitParams: MemoryCommitParams = {
|
||
triplets: args.triplets as TripletInput[],
|
||
entityTypes: args.entityTypes as Record<string, string>,
|
||
sessionId: (args.sessionId as string) || this.currentSessionId,
|
||
turnId: (args.turnId as number) || this.turnCounter
|
||
};
|
||
const commitResult = await this.memoryService.memoryCommit(commitParams);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_commit',
|
||
success: true,
|
||
message: `已写入 ${commitResult.committedCount} 条记忆`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryPurge': {
|
||
const purgeArgs: MemoryPurgeParams = {
|
||
criteria: args.criteria as PurgeCriteriaParams,
|
||
mode: args.mode as 'soft' | 'hard' | 'supersede',
|
||
newRelation: args.newRelation as NewRelationParams
|
||
};
|
||
const purgeResult = await this.memoryService.memoryPurge(purgeArgs);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_purge',
|
||
success: true,
|
||
message: purgeResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryIntrospect': {
|
||
const introspectResult = await this.memoryService.memoryIntrospect(args.sessionId as string);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_introspect',
|
||
success: true,
|
||
message: `实体: ${introspectResult.entityCount}, 关系: ${introspectResult.relationCount}, 热点: ${introspectResult.hotNodes.length}`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryArchive': {
|
||
const archiveResult = await this.memoryService.archive(args.days as number);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_archive',
|
||
success: true,
|
||
message: `已归档 ${archiveResult.archived} 条关系`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryCleanup': {
|
||
const cleanupResult = await this.memoryService.cleanup((args.dryRun as boolean) !== false);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_cleanup',
|
||
success: true,
|
||
message: `清理: ${cleanupResult.cleaned} 条关系, ${cleanupResult.deletedOrphans} 个孤儿节点` + (cleanupResult.dryRun ? ' (预览模式)' : '')
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'memoryQueryArchived': {
|
||
const qaResult = await this.memoryService.queryArchived(args.days as number, args.keyword as string);
|
||
const result: ToolCallResult = {
|
||
name: 'memory_query_archived',
|
||
success: true,
|
||
message: `找到 ${qaResult.length} 条归档记录`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'contextRewrite': {
|
||
const summary = args.summary as string;
|
||
const result: ToolCallResult = {
|
||
name: 'context_rewrite',
|
||
success: summary.includes('[工具调用总结'),
|
||
message: summary.includes('[工具调用总结') ? '上下文已压缩' : '格式错误：必须包含[工具调用总结]标记'
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'personaUpdate': {
|
||
const personaParams: PersonaUpdateParams = {
|
||
tone: args.tone as string,
|
||
style: args.style as string,
|
||
personality: args.personality as string,
|
||
catchphrase: args.catchphrase as string,
|
||
background: args.background as string
|
||
};
|
||
const puResult = await this.memoryService.personaUpdate(personaParams);
|
||
const result: ToolCallResult = {
|
||
name: 'persona_update',
|
||
success: puResult.success,
|
||
message: puResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'personaRemove': {
|
||
const prResult = await this.memoryService.personaRemove(args.attribute as string);
|
||
const result: ToolCallResult = {
|
||
name: 'persona_remove',
|
||
success: prResult.success,
|
||
message: prResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'personaClear': {
|
||
const pcResult = await this.memoryService.personaClear();
|
||
const result: ToolCallResult = {
|
||
name: 'persona_clear',
|
||
success: pcResult.success,
|
||
message: pcResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskCreate': {
|
||
const createParams: TaskCreateParams = {
|
||
taskId: args.taskId as string,
|
||
description: args.description as string,
|
||
infoNodes: args.infoNodes as string[]
|
||
};
|
||
const tcResult = await this.memoryService.taskCreate(createParams);
|
||
const result: ToolCallResult = {
|
||
name: 'task_create',
|
||
success: tcResult.success,
|
||
message: tcResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskSetState': {
|
||
const setStateParams: TaskSetStateParams = {
|
||
taskId: args.taskId as string,
|
||
state: args.state as ToolStateArg
|
||
};
|
||
const tsResult = await this.memoryService.taskSetState(setStateParams);
|
||
const result: ToolCallResult = {
|
||
name: 'task_set_state',
|
||
success: tsResult.success,
|
||
message: tsResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskDelete': {
|
||
const deleteParams: TaskDeleteParams = {
|
||
taskId: args.taskId as string,
|
||
deleteInfoNodes: (args.deleteInfoNodes as boolean) !== false
|
||
};
|
||
const tdResult = await this.memoryService.taskDelete(deleteParams);
|
||
const result: ToolCallResult = {
|
||
name: 'task_delete',
|
||
success: tdResult.success,
|
||
message: tdResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskLinkInfo': {
|
||
const linkInfoParams: TaskLinkInfoParams = {
|
||
taskId: args.taskId as string,
|
||
infoNodeNames: args.infoNodeNames as string[]
|
||
};
|
||
const tliResult = await this.memoryService.taskLinkInfo(linkInfoParams);
|
||
const result: ToolCallResult = {
|
||
name: 'task_link_info',
|
||
success: tliResult.success,
|
||
message: tliResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskArchive': {
|
||
const archiveParams: TaskArchiveParams = {
|
||
taskId: args.taskId as string,
|
||
summary: args.summary as string
|
||
};
|
||
const taResult = await this.memoryService.taskArchive(archiveParams);
|
||
const result: ToolCallResult = {
|
||
name: 'task_archive',
|
||
success: taResult.success,
|
||
message: taResult.message
|
||
};
|
||
return result;
|
||
}
|
||
|
||
case 'taskQuery': {
|
||
const tqResult = await this.memoryService.taskQuery({
|
||
limit: args.limit as number,
|
||
stateFilter: args.stateFilter as string
|
||
});
|
||
const result: ToolCallResult = {
|
||
name: 'task_query',
|
||
success: true,
|
||
message: `找到 ${tqResult.tasks.length} 个任务`
|
||
};
|
||
return result;
|
||
}
|
||
|
||
default: {
|
||
const defaultResult: ToolCallResult = {
|
||
name: name as string,
|
||
success: false,
|
||
message: '未实现的工具'
|
||
};
|
||
return defaultResult;
|
||
}
|
||
}
|
||
} catch (e) {
|
||
const errorMessage: string = (e as Error).message || '';
|
||
const errorResult: ToolCallResult = {
|
||
name: name as string,
|
||
success: false,
|
||
message: `执行失败: ${errorMessage}`
|
||
};
|
||
return errorResult;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 格式化人设数据为文本
|
||
*/
|
||
private formatPersona(persona: Record<string, string>): string {
|
||
const parts: string[] = [];
|
||
const keys: string[] = Object.keys(persona);
|
||
for (let i = 0; i < keys.length; i++) {
|
||
const key: string = keys[i];
|
||
const val: string = persona[key];
|
||
parts.push(`${key}: ${val}`);
|
||
}
|
||
return parts.length > 0 ? parts.join('；') : '';
|
||
}
|
||
|
||
/**
|
||
* 构建上下文注入块
|
||
*/
|
||
private buildContextBlock(
|
||
personaResult: PersonaQueryResult,
|
||
taskResult: MemoryRecallResult
|
||
): string {
|
||
const blocks: string[] = [];
|
||
|
||
if (personaResult.found) {
|
||
blocks.push(`【当前人设】\n${this.formatPersona(personaResult.persona)}`);
|
||
}
|
||
|
||
if (taskResult.entities.length > 0) {
|
||
const entitySample: EntityInfo[] = taskResult.entities.slice(0, 5);
|
||
const entitiesStr: string = JSON.stringify(entitySample);
|
||
blocks.push(`【工作记忆】\n${taskResult.message}\n${entitiesStr}`);
|
||
}
|
||
|
||
return blocks.length > 0 ? blocks.join('\n\n') : '【新对话】';
|
||
}
|
||
}
|