import { CallbackManager } from '@llamaindex/core/global';
export { CallbackManager, DEFAULT_BASE_URL, DEFAULT_CHUNK_OVERLAP, DEFAULT_CHUNK_OVERLAP_RATIO, DEFAULT_CHUNK_SIZE, DEFAULT_COLLECTION, DEFAULT_CONTEXT_WINDOW, DEFAULT_DOC_STORE_PERSIST_FILENAME, DEFAULT_GRAPH_STORE_PERSIST_FILENAME, DEFAULT_INDEX_STORE_PERSIST_FILENAME, DEFAULT_NAMESPACE, DEFAULT_NUM_OUTPUTS, DEFAULT_PADDING, DEFAULT_PERSIST_DIR, DEFAULT_PROJECT_NAME, DEFAULT_VECTOR_STORE_PERSIST_FILENAME, JSONArray, JSONObject, JSONValue, LLMEndEvent, LLMStartEvent, LLMStreamEvent, LLMToolCallEvent, LLMToolResultEvent, LlamaIndexEventMaps } from '@llamaindex/core/global';
import { PromptHelper } from '@llamaindex/core/indices';
export * from '@llamaindex/core/indices';
import { BaseEmbedding } from '@llamaindex/core/embeddings';
export * from '@llamaindex/core/embeddings';
import { LLM, ToolMetadata } from '@llamaindex/core/llms';
export * from '@llamaindex/core/llms';
import { NodeParser } from '@llamaindex/core/node-parser';
export { Language, LlamaParseReader, ResultType } from '@llamaindex/cloud/reader';
export * from '@llamaindex/core/agent';
export * from '@llamaindex/core/chat-engine';
export * from '@llamaindex/core/data-structs';
export * from '@llamaindex/core/memory';
export * from '@llamaindex/core/postprocessor';
import { PromptMixin, SubQuestionPrompt, ModuleRecord } from '@llamaindex/core/prompts';
export * from '@llamaindex/core/prompts';
import { QueryType } from '@llamaindex/core/query-engine';
export * from '@llamaindex/core/query-engine';
export * from '@llamaindex/core/response-synthesizers';
export * from '@llamaindex/core/retriever';
import { ImageType, BaseOutputParser } from '@llamaindex/core/schema';
export * from '@llamaindex/core/schema';
export * from '@llamaindex/core/storage/chat-store';
import { BaseDocumentStore } from '@llamaindex/core/storage/doc-store';
export * from '@llamaindex/core/storage/doc-store';
export { BaseDocumentStore } from '@llamaindex/core/storage/doc-store';
import { BaseIndexStore } from '@llamaindex/core/storage/index-store';
export * from '@llamaindex/core/storage/index-store';
export * from '@llamaindex/core/storage/kv-store';
export * from '@llamaindex/core/utils';
export * from '@llamaindex/openai';
export * from '@llamaindex/workflow';
export * from '../../agent/dist/index.js';
export * from '../../cloud/dist/index.js';
export * from '../../engines/dist/index.js';
export * from '../../evaluation/dist/index.js';
export * from '../../extractors/dist/index.js';
export * from '../../indices/dist/index.js';
export * from '../../ingestion/dist/index.js';
export * from '../../node-parser/dist/index.js';
export * from '../../objects/dist/index.js';
export * from '../../postprocessors/dist/index.js';
export * from '../../selectors/dist/index.js';
import { VectorStoreByType, BaseVectorStore } from '@llamaindex/core/vector-store';
export * from '../../tools/dist/index.js';

type PromptConfig = {
    llm?: string;
    lang?: string;
};
interface Config {
    prompt: PromptConfig;
    promptHelper: PromptHelper | null;
    embedModel: BaseEmbedding | null;
    nodeParser: NodeParser | null;
    callbackManager: CallbackManager | null;
    chunkSize: number | undefined;
    chunkOverlap: number | undefined;
}
/**
 * @internal
 */
declare class GlobalSettings implements Config {
    #private;
    get debug(): boolean;
    get llm(): LLM;
    set llm(llm: LLM);
    withLLM<Result>(llm: LLM, fn: () => Result): Result;
    get promptHelper(): PromptHelper;
    set promptHelper(promptHelper: PromptHelper);
    withPromptHelper<Result>(promptHelper: PromptHelper, fn: () => Result): Result;
    get embedModel(): BaseEmbedding;
    set embedModel(embedModel: BaseEmbedding);
    withEmbedModel<Result>(embedModel: BaseEmbedding, fn: () => Result): Result;
    get nodeParser(): NodeParser;
    set nodeParser(nodeParser: NodeParser);
    withNodeParser<Result>(nodeParser: NodeParser, fn: () => Result): Result;
    get callbackManager(): CallbackManager;
    set callbackManager(callbackManager: CallbackManager);
    withCallbackManager<Result>(callbackManager: CallbackManager, fn: () => Result): Result;
    set chunkSize(chunkSize: number | undefined);
    get chunkSize(): number | undefined;
    withChunkSize<Result>(chunkSize: number, fn: () => Result): Result;
    get chunkOverlap(): number | undefined;
    set chunkOverlap(chunkOverlap: number | undefined);
    withChunkOverlap<Result>(chunkOverlap: number, fn: () => Result): Result;
    get prompt(): PromptConfig;
    set prompt(prompt: PromptConfig);
    withPrompt<Result>(prompt: PromptConfig, fn: () => Result): Result;
}
declare const Settings: GlobalSettings;

declare function imageToDataUrl(input: ImageType | Uint8Array): Promise<string>;

/**
 * QuestionGenerators generate new questions for the LLM using tools and a user query.
 */
interface BaseQuestionGenerator {
    generate(tools: ToolMetadata[], query: QueryType): Promise<SubQuestion[]>;
}
interface SubQuestion {
    subQuestion: string;
    toolName: string;
}

/**
 * Top level types to avoid circular dependencies
 */

/**
 * StructuredOutput is just a combo of the raw output and the parsed output.
 */
interface StructuredOutput<T> {
    rawOutput: string;
    parsedOutput: T;
}
type ToolMetadataOnlyDescription = Pick<ToolMetadata, "description">;
type UUID = `${string}-${string}-${string}-${string}-${string}`;

/**
 *
 * @param text A markdown block with JSON
 * @returns parsed JSON object
 */
declare function parseJsonMarkdown(text: string): any;
/**
 * SubQuestionOutputParser is used to parse the output of the SubQuestionGenerator.
 */
declare class SubQuestionOutputParser implements BaseOutputParser<StructuredOutput<SubQuestion[]>> {
    parse(output: string): StructuredOutput<SubQuestion[]>;
    format(output: string): string;
}

/**
 * LLMQuestionGenerator uses the LLM to generate new questions for the LLM using tools and a user query.
 */
declare class LLMQuestionGenerator extends PromptMixin implements BaseQuestionGenerator {
    llm: LLM;
    prompt: SubQuestionPrompt;
    outputParser: BaseOutputParser<StructuredOutput<SubQuestion[]>>;
    constructor(init?: Partial<LLMQuestionGenerator>);
    protected _getPrompts(): {
        [x: string]: SubQuestionPrompt;
    };
    protected _updatePrompts(promptsDict: {
        subQuestion: SubQuestionPrompt;
    }): void;
    generate(tools: ToolMetadata[], query: QueryType): Promise<SubQuestion[]>;
    protected _getPromptModules(): ModuleRecord;
}

interface StorageContext {
    docStore: BaseDocumentStore;
    indexStore: BaseIndexStore;
    vectorStores: VectorStoreByType;
}
type BuilderParams = {
    docStore: BaseDocumentStore;
    indexStore: BaseIndexStore;
    vectorStore: BaseVectorStore;
    vectorStores: VectorStoreByType;
    persistDir: string;
};
declare function storageContextFromDefaults({ docStore, indexStore, vectorStore, vectorStores, persistDir, }: Partial<BuilderParams>): Promise<StorageContext>;

export { LLMQuestionGenerator, Settings, type StorageContext, type StructuredOutput, SubQuestionOutputParser, type ToolMetadataOnlyDescription, type UUID, imageToDataUrl, parseJsonMarkdown, storageContextFromDefaults };