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askui

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Reliable, automated end-to-end-testing that depends on what is shown on your screen instead of the technology you are running on

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import { BetaMessage, BetaMessageParam } from '@anthropic-ai/sdk/resources/beta/messages'; import { ControlCommand } from '../core/ui-control-commands'; import { UiControllerClient } from './ui-controller-client'; import { InferenceClient } from './inference-client'; import { Annotation } from '../core/annotation/annotation'; import { CustomElementJson } from '../core/model/custom-element-json'; import { DetectedElement } from '../core/model/annotation-result/detected-element'; import { UiControllerClientConnectionState } from './ui-controller-client-connection-state'; import { Instruction, StepReporter } from '../core/reporting'; import { RetryStrategy } from './retry-strategies/retry-strategy'; import { ModelCompositionBranch } from './model-composition-branch'; export declare class ExecutionRuntime { private uiControllerClient; private inferenceClient; private stepReporter; retryStrategy: RetryStrategy; constructor(uiControllerClient: UiControllerClient, inferenceClient: InferenceClient, stepReporter: StepReporter, retryStrategy: RetryStrategy); connect(): Promise<UiControllerClientConnectionState>; disconnect(): void; startVideoRecording(): Promise<void>; stopVideoRecording(): Promise<void>; readVideoRecording(): Promise<string>; requestControl(controlCommand: ControlCommand): Promise<void>; executeInstruction(instruction: Instruction, modelComposition: ModelCompositionBranch[]): Promise<void>; private readonly EXEC_REPETITION_COUNT; private executeCommandRepeatedly; /** * Command prediction may fail, e.g., due to application still loading * --> retry with linear back-off */ private predictCommandWithRetry; private isImageRequiredByConfig; private isImageRequired; private isAnnotationRequired; getScreenshot(): Promise<string>; private buildSnapshot; private predictCommand; annotateInteractively(): Promise<void>; takeScreenshotIfImageisNotProvided(imagePath?: string): Promise<string>; getStartingArguments(): Promise<Record<string, string | number | boolean>>; getDetectedElements(instruction: string, customElementJson?: CustomElementJson[]): Promise<DetectedElement[]>; annotateImage(imagePath?: string, customElementJson?: CustomElementJson[], elements?: DetectedElement[]): Promise<Annotation>; predictVQA(prompt: string, config?: object): Promise<any>; predictActResponse(params: { max_tokens: number; messages: BetaMessageParam[]; model: string; system?: string; tools?: object[]; betas?: string[]; tool_choice?: { type: 'tool' | 'any' | 'auto'; name?: string; }; }): Promise<BetaMessage>; }