@volley/recognition-client-sdk/dist/vgf-recognition-mapper.d.ts

Recognition Service TypeScript/Node.js Client SDK

/**
 * VGF Recognition Mapper
 *
 * Maps between the existing recognition client types and the simplified VGF state.
 * This provides a clean abstraction layer for game developers.
 */
import { RecognitionState } from './vgf-recognition-state.js';
import { ClientState, IRecognitionClientConfig } from './recognition-client.types.js';
import { TranscriptionResultV1, ErrorResultV1 } from '@recog/shared-types';
/**
 * Maps ClientState to RecordingStatus for VGF state
 */
export declare function mapClientStateToRecordingStatus(clientState: ClientState): string;
/**
 * Creates a VGF state from transcription result
 */
export declare function mapTranscriptionResultToState(currentState: RecognitionState, result: TranscriptionResultV1, isRecording: boolean): RecognitionState;
/**
 * Maps error to state
 */
export declare function mapErrorToState(currentState: RecognitionState, error: ErrorResultV1): RecognitionState;
/**
 * Creates initial VGF state from client config
 */
export declare function createVGFStateFromConfig(config: IRecognitionClientConfig): RecognitionState;
/**
 * Updates state when recording stops
 */
export declare function updateStateOnStop(currentState: RecognitionState): RecognitionState;
/**
 * Updates state when client becomes ready
 */
export declare function updateStateOnReady(currentState: RecognitionState): RecognitionState;
/**
 * Parses function call from transcript (STEP 3 support)
 * This is a placeholder - actual implementation would use NLP/LLM
 */
export declare function extractFunctionCallFromTranscript(transcript: string, gameContext?: any): {
    metadata?: string;
    confidence?: number;
} | null;
/**
 * Updates state with function call results (STEP 3)
 */
export declare function updateStateWithFunctionCall(currentState: RecognitionState, functionCall: {
    metadata?: string;
    confidence?: number;
}): RecognitionState;
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