import { SDKCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
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 { APIPromise } from "../types/async.js";
import { Result } from "../types/fp.js";
export declare enum CreateChatAcceptEnum {
    applicationJson = "application/json",
    textEventStream = "text/event-stream"
}
/**
 * [Deprecated] Chat completions for OpenAI SDK/client usage
 *
 * @remarks
 * **Deprecated: Use the Responses API (`/api/v1/llm/responses`) instead.** OpenAI-compatible chat completion endpoint designed for use with the official OpenAI client libraries (Python, Node.js, etc.). Supports both streaming and non-streaming requests by setting the `stream` parameter. This endpoint handles the request/response directly and returns standard OpenAI-formatted responses. Use this when integrating with existing OpenAI client code. Note: The actual handler is registered at the Bun server level for optimal performance with the OpenAI SDK streaming format.
 *
 * @deprecated method: This will be removed in a future release, please migrate away from it as soon as possible.
 */
export declare function llmChatCreateChat(client: SDKCore, request: operations.CreateChatCompletionRequest, options?: RequestOptions & {
    acceptHeaderOverride?: CreateChatAcceptEnum;
}): APIPromise<Result<operations.CreateChatCompletionResponse, SDKError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
//# sourceMappingURL=llmChatCreateChat.d.ts.map