@promptbook/remote-server
Version:
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
52 lines (51 loc) • 1.88 kB
TypeScript
import type OpenAI from 'openai';
import type { TODO_any } from '../../utils/organization/TODO_any';
/**
* Uploads prepared knowledge-source files and starts vector-store ingestion polling.
*
* @private helper of `OpenAiVectorStoreHandler`
*/
export declare class OpenAiVectorStoreFileBatchHandler {
private readonly options;
/**
* Creates one vector-store file-batch handler instance.
*/
constructor(options: {
readonly isVerbose: boolean;
readonly getVectorStoresApi: (client: OpenAI) => TODO_any;
});
/**
* Uploads knowledge source files to the vector store and polls until processing completes.
*/
uploadKnowledgeSourceFilesToVectorStore(options: {
readonly client: OpenAI;
readonly vectorStoreId: string;
readonly files: ReadonlyArray<File>;
readonly totalBytes: number;
readonly maxConcurrency: number;
readonly pollIntervalMs: number;
readonly uploadTimeoutMs: number;
readonly shouldContinueOnVectorStoreStall: boolean;
readonly logLabel: string;
}): Promise<TODO_any | null>;
/**
* Uploads the prepared knowledge-source files with bounded concurrency.
*/
private uploadPreparedKnowledgeSourceFiles;
/**
* Reuses the shared iterator to upload one slice of knowledge-source files.
*/
private uploadPreparedKnowledgeSourceFilesWorker;
/**
* Uploads one prepared knowledge-source file to OpenAI and records detailed diagnostics.
*/
private uploadPreparedKnowledgeSourceFile;
/**
* Creates the OpenAI vector-store file batch for the uploaded knowledge-source files.
*/
private createVectorStoreFileBatch;
/**
* Logs warnings for unexpected vector-store batch metadata right after creation.
*/
private logCreatedVectorStoreFileBatchIssues;
}