import { InvalidateQueryFilters, QueryClient, UseQueryResult, UseSuspenseQueryResult } from "@tanstack/react-query"; import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js"; import { ResponseValidationError } from "../models/errors/responsevalidationerror.js"; import { SDKError } from "../models/errors/sdkerror.js"; import { SDKValidationError } from "../models/errors/sdkvalidationerror.js"; import * as operations from "../models/operations/index.js"; import { QueryHookOptions, SuspenseQueryHookOptions, TupleToPrefixes } from "./_types.js"; import { buildLlmEmbeddingsListModelsQuery, LlmEmbeddingsListModelsQueryData, prefetchLlmEmbeddingsListModels, queryKeyLlmEmbeddingsListModels } from "./llmEmbeddingsListModels.core.js"; export { buildLlmEmbeddingsListModelsQuery, type LlmEmbeddingsListModelsQueryData, prefetchLlmEmbeddingsListModels, queryKeyLlmEmbeddingsListModels, }; export type LlmEmbeddingsListModelsQueryError = SDKError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError; /** * List available embedding models * * @remarks * Returns a list of available embedding models with their limits. Use this endpoint to discover which models are available and their constraints (batch size, input length) before making embedding requests. */ export declare function useLlmEmbeddingsListModels(request: operations.ListEmbeddingModelsRequest, options?: QueryHookOptions): UseQueryResult; /** * List available embedding models * * @remarks * Returns a list of available embedding models with their limits. Use this endpoint to discover which models are available and their constraints (batch size, input length) before making embedding requests. */ export declare function useLlmEmbeddingsListModelsSuspense(request: operations.ListEmbeddingModelsRequest, options?: SuspenseQueryHookOptions): UseSuspenseQueryResult; export declare function setLlmEmbeddingsListModelsData(client: QueryClient, queryKeyBase: [parameters: { xOnBehalfOf?: string | undefined; }], data: LlmEmbeddingsListModelsQueryData): LlmEmbeddingsListModelsQueryData | undefined; export declare function invalidateLlmEmbeddingsListModels(client: QueryClient, queryKeyBase: TupleToPrefixes<[ parameters: { xOnBehalfOf?: string | undefined; } ]>, filters?: Omit): Promise; export declare function invalidateAllLlmEmbeddingsListModels(client: QueryClient, filters?: Omit): Promise; //# sourceMappingURL=llmEmbeddingsListModels.d.ts.map