import { OpenAI } from 'openai';
import { type LLMAssistanceOptions, type LLMAssistanceResult, type LLMAssistanceMessage, type LLMCreateChatOptions, type LLMCreateChatResult, type LLMCreateFileStorageOptions, type LLMCreateFileStorageResult, type LLMInstanceOptions, LLMProviders, type LLMUploadFileOptions, type LLMUploadFileResult, type LLMStructuredResult, type LLMUploadedFile } from '../../../LLMService.typedefs';
import { type LLMLoggerInterface } from '../../../utilities/logger';
import { type LLMReporterInterface } from '../../../utilities/reporter';
import { LLMAssistanceService } from '../../../services';
import { type LLMSchemaInterface } from '../../../utilities/schema';
export declare class LLMAPIAssistanceService<Reporter extends LLMReporterInterface<any> | undefined> extends LLMAssistanceService<LLMProviders.LLMAPI, Reporter> {
    private fileStorage;
    private chatState;
    private toolExecutor;
    private fileContextInjectedChats;
    constructor(logger: LLMLoggerInterface | undefined, reporter: Reporter, options?: LLMInstanceOptions[LLMProviders.LLMAPI]);
    get instance(): OpenAI;
    uploadFile(fileOptions: LLMUploadFileOptions<Reporter>): Promise<LLMUploadFileResult>;
    getFile(path: string): Promise<LLMUploadedFile | null>;
    deleteFile(fileId: string): Promise<void>;
    createFileStorage(options: LLMCreateFileStorageOptions<LLMProviders.LLMAPI, Reporter>): Promise<LLMCreateFileStorageResult>;
    deleteFileStorage(storageId: string): Promise<void>;
    createChat(options: LLMCreateChatOptions<LLMProviders.LLMAPI, Reporter>): Promise<LLMCreateChatResult>;
    deleteChat(chatId: string): Promise<void>;
    countTokens(messages: LLMAssistanceMessage[]): Promise<number>;
    protected assistInChatText(options: LLMAssistanceOptions<LLMProviders.LLMAPI, Reporter>): Promise<LLMAssistanceResult>;
    protected assistInChatStructured(options: LLMAssistanceOptions<LLMProviders.LLMAPI, Reporter> & {
        schema: LLMSchemaInterface;
    }): Promise<LLMStructuredResult>;
    private prepareChatForAssist;
    private appendUserMessageToChat;
    private injectSchemaInstruction;
    /**
     * One round's usage, mapped exactly as `buildToolLoopUsage` maps the run
     * total, so the per-round generations add up to the single metrics point the
     * run still writes.
     */
    private buildRoundUsage;
    private buildToolLoopUsage;
    /**
     * The input side of the tool loop's own last round, as opposed to
     * `buildToolLoopUsage`, which sums every round the loop ran.
     */
    private buildLastRoundUsage;
    private injectFileContext;
    private buildToolsArray;
    private serializeOfferedTools;
    private executeToolLoop;
    /**
     * Executes one tool-loop round trip. Gemini through the proxy occasionally
     * rejects a previously-issued thought_signature on replay with HTTP 400
     * "Corrupted thought signature."; the recovery downgrades every recorded
     * signature to the documented validator-bypass marker and retries the same
     * request once.
     */
    private createToolLoopCompletion;
    private isCorruptedThoughtSignatureError;
    private resolveToolCalls;
    /**
     * The visible assistant text a continuing tool-loop round produced, with
     * thinking tags stripped. Standard tool-call turns carry prose in
     * `message.content` alongside the calls; the XML fallback path already split
     * prose from markup into `assistantContent`.
     */
    private extractVisibleToolRoundText;
    private appendToolInteractionMessages;
    private logOutgoingToolCalls;
    /**
     * Chat Completions cannot carry images in a `tool`-role message, so any
     * images a tool returned are surfaced to the model as a separate user
     * message appended right after the batch of tool results.
     */
    private appendToolResultImages;
    private dispatchToolCall;
}