n8n
Version:
n8n Workflow Automation Tool
36 lines (35 loc) • 1.82 kB
TypeScript
import type { ChatHubLLMProvider, ChatHubVectorStoreProvider, ChatModelMetadataDto } from '@n8n/api-types';
import type { ExecutionStatus, INodeTypeNameVersion } from 'n8n-workflow';
import type { ChatTriggerResponseMode } from './chat-hub.types';
export type ChatHubInputModality = 'text' | 'image' | 'audio' | 'video' | 'file';
export interface InternalModelMetadata extends ChatModelMetadataDto {
inputModalities: ChatHubInputModality[];
}
export declare const EXECUTION_POLL_INTERVAL = 1000;
export declare const STREAM_CLOSE_TIMEOUT: number;
export declare const EXECUTION_FINISHED_STATUSES: ExecutionStatus[];
export declare const TOOLS_AGENT_NODE_MIN_VERSION = 2.2;
export declare const CHAT_TRIGGER_NODE_MIN_VERSION = 1.2;
export declare const PROVIDER_NODE_TYPE_MAP: Record<ChatHubLLMProvider, INodeTypeNameVersion>;
export declare const NODE_NAMES: {
readonly CHAT_TRIGGER: "When chat message received";
readonly REPLY_AGENT: "AI Agent";
readonly TITLE_GENERATOR_AGENT: "Title Generator Agent";
readonly CHAT_MODEL: "Chat Model";
readonly EMBEDDINGS_MODEL: "Embeddings Model";
readonly VECTOR_STORE: "Vector Store";
readonly DEFAULT_DATA_LOADER: "Default Data Loader";
readonly MEMORY: "Memory";
readonly RESTORE_CHAT_MEMORY: "Restore Chat Memory";
readonly CLEAR_CHAT_MEMORY: "Clear Chat Memory";
readonly MERGE: "Merge";
};
export declare const JSONL_STREAM_HEADERS: {
'Content-Type': string;
'Transfer-Encoding': string;
'Cache-Control': string;
Connection: string;
};
export declare function getModelMetadata(provider: ChatHubLLMProvider, modelId: string): InternalModelMetadata;
export declare const SUPPORTED_RESPONSE_MODES: ChatTriggerResponseMode[];
export declare const VECTOR_STORE_NODE_TYPE_MAP: Record<ChatHubVectorStoreProvider, string>;