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BBQ
5a35ef34ac
- Refactor channel manager with support for Sender/Receiver interfaces and hot-swappable adapters. - Implement identity routing and pre-authentication logic for inbound messages. - Update database schema to support bot pre-auth keys and extended channel session metadata. - Add Telegram and Feishu channel configuration and adapter enhancements. - Update Swagger documentation and internal handlers for channel management. Co-authored-by: Cursor <cursoragent@cursor.com>
102 lines
1.9 KiB
TypeScript
102 lines
1.9 KiB
TypeScript
export enum ModelClientType {
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OPENAI = 'openai',
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ANTHROPIC = 'anthropic',
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GOOGLE = 'google',
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}
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export enum ModelType {
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CHAT = 'chat',
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EMBEDDING = 'embedding',
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}
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export interface BaseModel {
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/**
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* @description The unique identifier for the model
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* @example 'gpt-4o'
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*/
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modelId: string
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/**
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* @description The base URL for the model
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* @example 'https://api.openai.com/v1'
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*/
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baseUrl: string
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/**
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* @description The API key for the model
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* @example 'sk-1234567890'
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*/
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apiKey: string
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/**
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* @description The client type for the model
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* @enum {ModelClientType}
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*/
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clientType: ModelClientType
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/**
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* @description The display name for the model
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* @example 'GPT 4o'
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*/
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name?: string
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/**
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* @description The model type
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* @enum {ModelType}
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* @default {ModelType.CHAT}
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*/
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type?: ModelType
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}
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export interface EmbeddingModel extends BaseModel {
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type?: ModelType.EMBEDDING
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/**
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* @description The dimensions of the embedding
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* @example 1536
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*/
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dimensions: number
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}
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export interface ChatModel extends BaseModel {
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type?: ModelType.CHAT
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}
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export type Model = EmbeddingModel | ChatModel
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// 表格当中model的类型
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export interface ModelList {
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apiKey: string,
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baseUrl: string,
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clientType: 'OpenAI' | 'Anthropic' | 'Google',
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modelId: string,
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name: string,
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type: 'chat' | 'embedding',
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id: string,
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defaultChatModel: boolean,
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defaultEmbeddingModel: boolean,
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defaultSummaryModel: boolean
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}
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export interface ProviderInfo{
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api_key: string;
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base_url: string;
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client_type: string;
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metadata: Record<'additionalProp1',object>;
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name: string;
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}
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export interface ModelInfo{
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dimensions:number
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is_multimodal:boolean
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input?: string[]
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llm_provider_id:string
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model_id:string
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name:string
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type: string
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enable_as?:string
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}
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export const clientType = ['openai', 'anthropic', 'google', 'ollama'] as const
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