import { ClientSDK } from "../lib/sdks.js"; import { Batches } from "./batches.js"; import { Chat } from "./chat.js"; import { Classify } from "./classify.js"; import { Conversations } from "./conversations.js"; import { Embeddings } from "./embeddings.js"; import { Evals } from "./evals.js"; import { ExtractT } from "./extract.js"; import { Feedback } from "./feedback.js"; import { Files } from "./files.js"; import { FineTuning } from "./finetuning.js"; import { Images } from "./images.js"; import { McpVault } from "./mcpvault.js"; import { MemoryStores } from "./memorystores.js"; import { Models } from "./models.js"; import { Prompts } from "./prompts.js"; import { Responses } from "./responses.js"; import { SDKUsage } from "./sdkusage.js"; import { Skills } from "./skills.js"; import { Speech } from "./speech.js"; import { VectorStores } from "./vectorstores.js"; export declare class Llm extends ClientSDK { private _batches?; get batches(): Batches; private _chat?; get chat(): Chat; private _conversations?; get conversations(): Conversations; private _embeddings?; get embeddings(): Embeddings; private _evals?; get evals(): Evals; private _feedback?; get feedback(): Feedback; private _files?; get files(): Files; private _fineTuning?; get fineTuning(): FineTuning; private _images?; get images(): Images; private _mcpVault?; get mcpVault(): McpVault; private _memoryStores?; get memoryStores(): MemoryStores; private _models?; get models(): Models; private _prompts?; get prompts(): Prompts; private _responses?; get responses(): Responses; private _speech?; get speech(): Speech; private _usage?; get usage(): SDKUsage; private _classify?; get classify(): Classify; private _extract?; get extract(): ExtractT; private _skills?; get skills(): Skills; private _vectorStores?; get vectorStores(): VectorStores; } //# sourceMappingURL=llm.d.ts.map