donobu/dist/tools/AggregateExtractedStreetviewDataTool.d.ts

Create browser automations with an LLM agent and replay them as Playwright scripts.

import { Tool } from './Tool';
import { ToolCallContext } from '../models/ToolCallContext';
import { ToolCallResult } from '../models/ToolCallResult';
import { ToolCall } from '../models/ToolCall';
import { BaseToolGptParameters } from '../models/BaseToolGptParameters';
export interface AggregateExtractedStreetviewDataToolCoreParameters {
}
export interface AggregateExtractedStreetviewDataToolGptParameters extends BaseToolGptParameters, AggregateExtractedStreetviewDataToolCoreParameters {
}
/**
 * Ends the current flow by aggregating the data gathered by the ExtractGoogleStreetviewEntityDataTool
 * and GoToGoogleMapsStreetViewTool classes (likely kicked off by SpecialFlowsApi#extractGoogleStreetviewEntityData.
 * Note that there is special handling using the ExtractGoogleStreetviewEntityDataTool's
 * "recommendedNextStepForStreetViewNavigator", and "isBusinessMatch" fields. Additionally, there is
 * a check to see if GoToGoogleMapsStreetViewTool failed, since the entire flow is
 * predicated on that step succeeding.
 */
export declare class AggregateExtractedStreetviewDataTool extends Tool<AggregateExtractedStreetviewDataToolCoreParameters, AggregateExtractedStreetviewDataToolGptParameters> {
    static readonly NAME = "aggregateExtractedStreetviewData";
    constructor();
    call(context: ToolCallContext, _parameters: AggregateExtractedStreetviewDataToolCoreParameters): Promise<ToolCallResult>;
    static aggregateStreetviewData(invokedToolCalls: ToolCall[], metadata: any): Record<string, any>;
    callFromGpt(context: ToolCallContext, parameters: AggregateExtractedStreetviewDataToolGptParameters): Promise<ToolCallResult>;
}
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