/*
 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */

import {
  InvalidateQueryFilters,
  QueryClient,
  useQuery,
  UseQueryResult,
  useSuspenseQuery,
  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 { useSDKContext } from "./_context.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 function useLlmEmbeddingsListModels(
  request: operations.ListEmbeddingModelsRequest,
  options?: QueryHookOptions<
    LlmEmbeddingsListModelsQueryData,
    LlmEmbeddingsListModelsQueryError
  >,
): UseQueryResult<
  LlmEmbeddingsListModelsQueryData,
  LlmEmbeddingsListModelsQueryError
> {
  const client = useSDKContext();
  return useQuery({
    ...buildLlmEmbeddingsListModelsQuery(
      client,
      request,
      options,
    ),
    ...options,
  });
}

/**
 * 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 function useLlmEmbeddingsListModelsSuspense(
  request: operations.ListEmbeddingModelsRequest,
  options?: SuspenseQueryHookOptions<
    LlmEmbeddingsListModelsQueryData,
    LlmEmbeddingsListModelsQueryError
  >,
): UseSuspenseQueryResult<
  LlmEmbeddingsListModelsQueryData,
  LlmEmbeddingsListModelsQueryError
> {
  const client = useSDKContext();
  return useSuspenseQuery({
    ...buildLlmEmbeddingsListModelsQuery(
      client,
      request,
      options,
    ),
    ...options,
  });
}

export function setLlmEmbeddingsListModelsData(
  client: QueryClient,
  queryKeyBase: [parameters: { xOnBehalfOf?: string | undefined }],
  data: LlmEmbeddingsListModelsQueryData,
): LlmEmbeddingsListModelsQueryData | undefined {
  const key = queryKeyLlmEmbeddingsListModels(...queryKeyBase);

  return client.setQueryData<LlmEmbeddingsListModelsQueryData>(key, data);
}

export function invalidateLlmEmbeddingsListModels(
  client: QueryClient,
  queryKeyBase: TupleToPrefixes<
    [parameters: { xOnBehalfOf?: string | undefined }]
  >,
  filters?: Omit<InvalidateQueryFilters, "queryKey" | "predicate" | "exact">,
): Promise<void> {
  return client.invalidateQueries({
    ...filters,
    queryKey: ["@meetkai/mka1", "embeddings", "listModels", ...queryKeyBase],
  });
}

export function invalidateAllLlmEmbeddingsListModels(
  client: QueryClient,
  filters?: Omit<InvalidateQueryFilters, "queryKey" | "predicate" | "exact">,
): Promise<void> {
  return client.invalidateQueries({
    ...filters,
    queryKey: ["@meetkai/mka1", "embeddings", "listModels"],
  });
}