429 lines
16 KiB
TypeScript
429 lines
16 KiB
TypeScript
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import { get, post, put, del } from "../../utils/request";
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// 智能体配置
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// 智能推理下的智能体类型预设 ID
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// 'rag-qa' : 经典文档/FAQ 分块 RAG
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// 'wiki-qa' : Wiki 图谱导航问答
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// 'hybrid-rag-wiki': Wiki + 分块混合检索
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// 'custom' : 完全自定义（不应用预设）
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export type AgentType = 'rag-qa' | 'wiki-qa' | 'hybrid-rag-wiki' | 'data-analysis' | 'custom';
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export interface QuestionSuggestionConfig {
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starters: {
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enabled: boolean;
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mode: 'curated' | 'knowledge' | 'hybrid';
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items: string[];
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count: number;
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};
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follow_ups: {
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enabled: boolean;
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mode: 'generated' | 'knowledge' | 'hybrid';
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count: number;
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model_id?: string;
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additional_instruction?: string;
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categories: Array<'clarify' | 'deepen' | 'action'>;
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max_context_turns: number;
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suppress_on_fallback: boolean;
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suppress_when_answer_asks_question: boolean;
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knowledge_fallback: boolean;
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allow_regenerate: boolean;
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};
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}
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export type AgentRole = '' | 'general' | 'coordinator' | 'production' | 'qc' | 'service' | 'training_map';
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export interface CustomAgentConfig {
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// ===== 基础设置 =====
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role?: AgentRole;
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content_tags?: string[];
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fusion_agent_ids?: string[];
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agent_mode?: 'quick-answer' | 'smart-reasoning'; // 运行模式：quick-answer=RAG模式, smart-reasoning=ReAct Agent模式
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// 智能推理模式下的类型预设，用于一键应用"系统提示词 + 工具 + KB 兼容性"组合
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// 仅在 agent_mode === 'smart-reasoning' 时生效；quick-answer 模式忽略
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agent_type?: AgentType;
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system_prompt?: string; // 统一系统提示词（使用 {{web_search_status}} 占位符动态控制行为）
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system_prompt_id?: string; // 引用的 prompt template ID（预设会填入此字段）
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context_template?: string; // 上下文模板（普通模式）
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// ===== 模型设置 =====
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model_id?: string;
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rerank_model_id?: string; // ReRank 模型 ID
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temperature?: number;
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max_completion_tokens?: number; // 0 = 跟随系统默认（快速问答 2048；智能推理 4096，绑沙箱可写文件时 24576）。大于 0 为自定义上限
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thinking?: boolean; // 是否启用思考模式（支持扩展思考的模型）
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citation_enabled?: boolean; // 是否在最终回答中输出知识库/网页来源引用（默认开启）
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// ===== Agent模式设置 =====
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max_iterations?: number; // 最大迭代次数；-1 表示不限制
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llm_call_timeout?: number; // LLM调用超时时间（秒）
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allowed_tools?: string[]; // 允许的工具
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reflection_enabled?: boolean; // 是否启用反思
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// MCP服务选择模式：all=全部启用的MCP服务, selected=指定服务, none=不使用MCP
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mcp_selection_mode?: 'all' | 'selected' | 'none';
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mcp_services?: string[]; // 选择的MCP服务ID列表
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// 对话中触发 OAuth 授权时的等待超时（秒）：到点后自动跳过授权提示。
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// <=0 时使用服务端默认超时。仅对使用 OAuth 的 MCP 服务生效。
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mcp_auth_wait_timeout?: number;
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// ===== Skills设置（仅Agent模式）=====
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// Skills选择模式：all=全部预装, selected=指定, none=不使用
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skills_selection_mode?: 'all' | 'selected' | 'none';
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selected_skills?: string[]; // 选择的Skill名称列表
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instruction_skill_ids?: string[]; // Markdown 指令技能，无需沙箱
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// ===== 沙箱设置 =====
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// 该智能体的技能脚本运行在哪个沙箱配置上；为空表示不启用沙箱执行。
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// 指向逻辑配置而非某个具体版本，凭据轮换时无需重新指派每个智能体。
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sandbox_config_id?: string;
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// ===== 知识库设置 =====
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// 知识库选择模式：all=全部知识库, selected=指定知识库, none=不使用知识库
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kb_selection_mode?: 'all' | 'selected' | 'none';
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knowledge_bases?: string[];
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// 是否仅在显式 @ 提及时检索知识库（默认: false）
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// true: 只有用户通过 @ 明确提及知识库/文档时才检索
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// false: 根据 kb_selection_mode 自动检索知识库
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retrieve_kb_only_when_mentioned?: boolean;
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// ===== 图片上传/多模态设置 =====
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image_upload_enabled?: boolean; // 是否启用图片上传（默认: false）
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vlm_model_id?: string; // VLM模型ID（图片分析用）
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image_storage_provider?: string; // 图片存储提供商
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audio_upload_enabled?: boolean; // 是否启用音频上传/ASR转录（默认: false）
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asr_model_id?: string; // ASR模型ID（音频转录用）
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// 附件图片理解 / 扫描件 OCR 开关（默认: false，开启会增加解析耗时）
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attachment_image_understanding?: boolean;
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// 扫描件 OCR 最大页数（0 = 使用全局默认 WEKNORA_CHAT_ATTACHMENT_OCR_MAX_PAGES）
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attachment_ocr_max_pages?: number;
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// 单轮问答等待附件解析完成的最长时间（秒，0 = 使用全局默认 WEKNORA_CHAT_ATTACHMENT_WAIT_TIMEOUT_SEC）
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attachment_parse_wait_timeout_sec?: number;
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// ===== 聊天附件解析引擎策略 =====
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// 按文件类型选择解析引擎；优先级：请求 parser_engine > 智能体规则 > 租户规则 > auto
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chat_parser_engine_rules?: { file_types: string[]; engine: string }[];
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// ===== 文件类型限制 =====
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// 支持的文件类型（如 ["csv", "xlsx", "xls"]）
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// 为空表示支持所有文件类型
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supported_file_types?: string[];
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// ===== 网络搜索设置 =====
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web_search_enabled?: boolean;
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web_search_provider_id?: string;
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web_search_max_results?: number;
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// ===== 多轮对话设置 =====
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multi_turn_enabled?: boolean; // 是否启用多轮对话
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history_turns?: number; // 保留历史轮数
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// ===== 长期记忆 =====
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// 该智能体是否可以读取用户的长期记忆。
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// 缺省（旧数据）等同于 true：这是一个只能"关"的开关，空间设置关闭时
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// 这里打开也不会生效。
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memory_enabled?: boolean;
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// ===== 检索策略设置 =====
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embedding_top_k?: number; // 向量召回TopK
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keyword_threshold?: number; // 关键词召回阈值
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vector_threshold?: number; // 向量召回阈值
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rerank_top_k?: number; // 重排TopK
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rerank_threshold?: number; // 重排阈值
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// ===== 高级设置（主要用于普通模式）=====
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enable_query_expansion?: boolean; // 是否启用查询扩展
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enable_rewrite?: boolean; // 是否启用问题改写
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rewrite_prompt_system?: string; // 改写系统提示词
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rewrite_prompt_user?: string; // 改写用户提示词模板
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fallback_strategy?: 'fixed' | 'model'; // 兜底策略
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fallback_response?: string; // 固定兜底回复
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fallback_prompt?: string; // 兜底提示词（模型生成时）
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// 意图提示词：非检索意图（问候、闲聊等）时覆盖主系统提示词
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intent_prompts?: Record<string, string>;
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// ===== 已废弃字段（保留兼容）=====
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welcome_message?: string;
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question_suggestions?: QuestionSuggestionConfig;
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}
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// 智能体
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export interface CustomAgent {
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digital_human?: { id: string; name: string; applied_version: number; active_version: number };
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enabled?: boolean;
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visibility?: 'private' | 'global';
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id: string;
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name: string;
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description?: string;
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avatar?: string;
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is_builtin: boolean;
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tenant_id?: number;
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created_by?: string;
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// creator_name 由后端 list 接口批量回填，仅用于列表卡片来源徽章。
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creator_name?: string;
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config: CustomAgentConfig;
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created_at?: string;
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updated_at?: string;
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}
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// 创建智能体请求
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export interface CreateAgentRequest {
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name: string;
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description?: string;
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avatar?: string;
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config?: CustomAgentConfig;
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}
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// 更新智能体请求
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export interface UpdateAgentRequest {
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name: string;
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description?: string;
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avatar?: string;
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config?: CustomAgentConfig;
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}
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// 内置智能体 ID（常用的保留常量，便于代码引用）
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export const BUILTIN_QUICK_ANSWER_ID = 'builtin-quick-answer';
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export const BUILTIN_SMART_REASONING_ID = 'builtin-smart-reasoning';
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// AgentMode 常量
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export const AGENT_MODE_QUICK_ANSWER = 'quick-answer';
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export const AGENT_MODE_SMART_REASONING = 'smart-reasoning';
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// Deprecated: Use BUILTIN_QUICK_ANSWER_ID instead
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export const BUILTIN_AGENT_NORMAL_ID = BUILTIN_QUICK_ANSWER_ID;
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// Deprecated: Use BUILTIN_SMART_REASONING_ID instead
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export const BUILTIN_AGENT_AGENT_ID = BUILTIN_SMART_REASONING_ID;
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// 获取智能体列表（包括内置智能体）
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// disabled_own_agent_ids: 当前空间在对话下拉中停用的「我的」智能体 ID，仅影响本空间
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export function listAgents(params?: {
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/**
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* Optional creator filter; mirrors listKnowledgeBases. Built-in agents
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* (is_builtin=true) are always returned regardless of this filter so
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* the conversation dropdown never silently loses quick-answer /
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* smart-reasoning when a user picks "Created by me".
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*/
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creator?: 'all' | 'mine' | 'others';
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}) {
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const qs = params?.creator && params.creator !== 'all' ? `?creator=${params.creator}` : '';
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return get<{ data: CustomAgent[]; disabled_own_agent_ids?: string[] }>(`/api/v1/agents${qs}`);
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}
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// 获取智能体详情
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export function getAgentById(id: string) {
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return get<{ data: CustomAgent }>(`/api/v1/agents/${id}`);
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}
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// 创建智能体
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export function createAgent(data: CreateAgentRequest) {
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return post<{ data: CustomAgent }>('/api/v1/agents', data);
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}
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export function draftAgent(data: { model_id: string; requirement: string }) {
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return post<{ data: CreateAgentRequest }>('/api/v1/agents/draft', data, { timeout: 120000 });
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}
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// 更新智能体
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export function updateAgent(id: string, data: UpdateAgentRequest) {
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return put<{ data: CustomAgent }>(`/api/v1/agents/${id}`, data);
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}
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// 删除智能体
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export function deleteAgent(id: string) {
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return del<{ success: boolean }>(`/api/v1/agents/${id}`);
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}
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// 复制智能体
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export function copyAgent(id: string) {
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return post<{ data: CustomAgent }>(`/api/v1/agents/${id}/copy`);
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}
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// 判断是否为内置智能体（通过 agent.is_builtin 字段或 ID 前缀判断）
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export function isBuiltinAgent(agentId: string): boolean {
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return agentId.startsWith('builtin-');
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}
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// 占位符定义
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export interface PlaceholderDefinition {
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name: string;
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label: string;
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description: string;
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}
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// 占位符响应
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export interface PlaceholdersResponse {
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all: PlaceholderDefinition[];
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system_prompt: PlaceholderDefinition[];
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agent_system_prompt: PlaceholderDefinition[];
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context_template: PlaceholderDefinition[];
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rewrite_system_prompt: PlaceholderDefinition[];
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rewrite_prompt: PlaceholderDefinition[];
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fallback_prompt: PlaceholderDefinition[];
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}
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// 获取占位符定义
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export function getPlaceholders() {
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return get<{ data: PlaceholdersResponse }>('/api/v1/agents/placeholders');
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}
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// ===== 智能体类型预设 =====
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// 后端 kb_filter 结构（见 internal/types/agent_type_preset.go）
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export interface AgentTypeKBFilter {
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any_of?: string[]; // KB 至少拥有其一
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all_of?: string[]; // KB 必须全部拥有
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none_of?: string[]; // KB 必须全部不拥有
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}
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// KB 能力标签（后端 types.KBCapabilities 的 JSON）
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export interface KBCapabilities {
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vector: boolean;
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keyword: boolean;
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wiki: boolean;
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graph: boolean;
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faq: boolean;
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}
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// 预设的"自动填充"配置载荷：仅包含被预设覆盖的字段；其他字段不动
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export interface AgentTypePresetConfig {
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system_prompt_id?: string;
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temperature?: number;
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max_iterations?: number;
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|
allowed_tools?: string[];
|
|||
|
|
retain_retrieval_history?: boolean;
|
|||
|
|
faq_priority_enabled?: boolean;
|
|||
|
|
web_search_enabled?: boolean;
|
|||
|
|
supported_file_types?: string[];
|
|||
|
|
kb_selection_mode?: 'all' | 'selected' | 'none';
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export interface AgentTypePresetI18n {
|
|||
|
|
label: string;
|
|||
|
|
description: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export interface AgentTypePreset {
|
|||
|
|
id: AgentType;
|
|||
|
|
i18n: Record<string, AgentTypePresetI18n>;
|
|||
|
|
config?: AgentTypePresetConfig; // 为空表示"自定义"类型（无预设）
|
|||
|
|
kb_filter?: AgentTypeKBFilter; // 为空表示所有 KB 可选
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 拉取类型预设列表（编辑器用）
|
|||
|
|
export function getAgentTypePresets() {
|
|||
|
|
return get<{ data: AgentTypePreset[] }>('/api/v1/agents/type-presets');
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// ===== IM渠道 =====
|
|||
|
|
|
|||
|
|
export interface IMChannel {
|
|||
|
|
id: string;
|
|||
|
|
tenant_id?: number;
|
|||
|
|
agent_id: string;
|
|||
|
|
// 'lark' is Feishu's international edition; it shares Feishu's credentials and modes.
|
|||
|
|
platform: 'wecom' | 'feishu' | 'lark' | 'slack' | 'telegram' | 'dingtalk' | 'mattermost' | 'wechat' | 'qqbot' | 'yunzhijia';
|
|||
|
|
name: string;
|
|||
|
|
enabled: boolean;
|
|||
|
|
mode: 'webhook' | 'websocket' | 'longpoll';
|
|||
|
|
output_mode: 'stream' | 'full';
|
|||
|
|
session_mode?: 'user' | 'thread';
|
|||
|
|
knowledge_base_id?: string;
|
|||
|
|
credentials: Record<string, any>;
|
|||
|
|
created_at?: string;
|
|||
|
|
updated_at?: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function listIMChannels(agentId: string) {
|
|||
|
|
return get<{ data: IMChannel[] }>(`/api/v1/agents/${agentId}/im-channels`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// Tenant-wide overview row. Credentials are intentionally omitted — use
|
|||
|
|
// listIMChannels(agentId) when you need to edit a specific channel.
|
|||
|
|
export interface IMChannelOverview {
|
|||
|
|
id: string;
|
|||
|
|
tenant_id: number;
|
|||
|
|
agent_id: string;
|
|||
|
|
agent_name: string; // localized built-in name when the agent is built-in
|
|||
|
|
platform: IMChannel['platform'];
|
|||
|
|
name: string;
|
|||
|
|
enabled: boolean;
|
|||
|
|
mode: IMChannel['mode'];
|
|||
|
|
output_mode: IMChannel['output_mode'];
|
|||
|
|
session_mode?: IMChannel['session_mode'];
|
|||
|
|
bot_identity: string;
|
|||
|
|
created_at: string;
|
|||
|
|
updated_at: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function listAllIMChannels() {
|
|||
|
|
return get<{ data: IMChannelOverview[] }>('/api/v1/im-channels');
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function createIMChannel(agentId: string, data: Partial<IMChannel>) {
|
|||
|
|
return post<{ data: IMChannel }>(`/api/v1/agents/${agentId}/im-channels`, data);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function updateIMChannel(id: string, data: Partial<IMChannel>) {
|
|||
|
|
return put<{ data: IMChannel }>(`/api/v1/im-channels/${id}`, data);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function deleteIMChannel(id: string) {
|
|||
|
|
return del<{ success: boolean }>(`/api/v1/im-channels/${id}`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function toggleIMChannel(id: string) {
|
|||
|
|
return post<{ data: IMChannel }>(`/api/v1/im-channels/${id}/toggle`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// ===== 推荐问题 =====
|
|||
|
|
|
|||
|
|
// 推荐问题
|
|||
|
|
export interface SuggestedQuestion {
|
|||
|
|
question: string;
|
|||
|
|
source: 'faq' | 'document' | 'agent_config' | 'wiki';
|
|||
|
|
knowledge_base_id?: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 获取智能体推荐问题
|
|||
|
|
// 根据智能体关联的知识库范围返回推荐问题，用于前端对话面板快捷提问
|
|||
|
|
export function getSuggestedQuestions(
|
|||
|
|
agentId: string,
|
|||
|
|
params?: {
|
|||
|
|
knowledge_base_ids?: string[];
|
|||
|
|
knowledge_ids?: string[];
|
|||
|
|
tag_scopes?: Array<{ knowledge_base_id: string; tag_ids: string[] }>;
|
|||
|
|
limit?: number;
|
|||
|
|
}
|
|||
|
|
) {
|
|||
|
|
const query = new URLSearchParams();
|
|||
|
|
if (params?.knowledge_base_ids?.length) query.set('knowledge_base_ids', params.knowledge_base_ids.join(','));
|
|||
|
|
if (params?.knowledge_ids?.length) query.set('knowledge_ids', params.knowledge_ids.join(','));
|
|||
|
|
if (params?.tag_scopes?.length) query.set('tag_scopes', JSON.stringify(params.tag_scopes));
|
|||
|
|
if (params?.limit) query.set('limit', String(params.limit));
|
|||
|
|
const qs = query.toString();
|
|||
|
|
return get<{ data: { questions: SuggestedQuestion[] } }>(`/api/v1/agents/${agentId}/suggested-questions${qs ? '?' + qs : ''}`);
|
|||
|
|
}
|
|||
|
|
// ===== WeChat QR Code Login =====
|
|||
|
|
|
|||
|
|
export interface WeChatQRCodeResult {
|
|||
|
|
qrcode_url: string;
|
|||
|
|
qrcode: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export interface WeChatQRCodeStatus {
|
|||
|
|
status: 'wait' | 'scaned' | 'confirmed' | 'expired';
|
|||
|
|
credentials?: {
|
|||
|
|
bot_token: string;
|
|||
|
|
ilink_bot_id: string;
|
|||
|
|
ilink_user_id: string;
|
|||
|
|
};
|
|||
|
|
baseurl?: string;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function getWeChatQRCode() {
|
|||
|
|
return post<{ data: WeChatQRCodeResult }>('/api/v1/wechat/qrcode');
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
export function pollWeChatQRCodeStatus(qrcode: string) {
|
|||
|
|
return post<{ data: WeChatQRCodeStatus }>('/api/v1/wechat/qrcode/status', { qrcode });
|
|||
|
|
}
|