svector-sdk/dist/src/api/vision.d.ts

Official JavaScript and TypeScript SDK for accessing SVECTOR APIs.

import { SVECTOR } from '../client';
import { ImageAnalysisRequest, ImageAnalysisResponse, RequestOptions, VisionRequest, VisionResponse } from '../types';
export declare class Vision {
    private client;
    constructor(client: SVECTOR);
    private makeVisionRequest;
    analyze(params: ImageAnalysisRequest, options?: RequestOptions): Promise<ImageAnalysisResponse>;
    analyzeFromUrl(imageUrl: string, prompt?: string, options?: {
        model?: string;
        max_tokens?: number;
        temperature?: number;
        detail?: 'low' | 'high' | 'auto';
    }): Promise<ImageAnalysisResponse>;
    analyzeFromBase64(base64Data: string, prompt?: string, options?: {
        model?: string;
        max_tokens?: number;
        temperature?: number;
        detail?: 'low' | 'high' | 'auto';
    }): Promise<ImageAnalysisResponse>;
    analyzeFromFileId(fileId: string, prompt?: string, options?: {
        model?: string;
        max_tokens?: number;
        temperature?: number;
        detail?: 'low' | 'high' | 'auto';
    }): Promise<ImageAnalysisResponse>;
    compareImages(images: Array<{
        url?: string;
        base64?: string;
        file_id?: string;
    }>, prompt?: string, options?: {
        model?: string;
        max_tokens?: number;
        temperature?: number;
        detail?: 'low' | 'high' | 'auto';
    }): Promise<ImageAnalysisResponse>;
    extractText(params: ImageAnalysisRequest, options?: RequestOptions): Promise<ImageAnalysisResponse>;
    describeForAccessibility(params: ImageAnalysisRequest, options?: RequestOptions): Promise<ImageAnalysisResponse>;
    detectObjects(params: ImageAnalysisRequest, objectTypes?: string[], options?: RequestOptions): Promise<ImageAnalysisResponse>;
    create(params: VisionRequest, options?: RequestOptions): Promise<VisionResponse>;
    createResponse(params: {
        model: string;
        input: Array<{
            role: 'user' | 'system' | 'assistant';
            content: Array<{
                type: 'input_text' | 'input_image';
                text?: string;
                image_url?: string;
                file_id?: string;
            }>;
        }>;
        max_tokens?: number;
        temperature?: number;
    }, options?: RequestOptions): Promise<{
        output_text: string;
        usage?: any;
        _request_id?: string;
    }>;
    batchAnalyze(images: Array<{
        image_url?: string;
        image_base64?: string;
        file_id?: string;
        prompt?: string;
    }>, options?: {
        model?: string;
        max_tokens?: number;
        temperature?: number;
        detail?: 'low' | 'high' | 'auto';
        delay?: number;
    }): Promise<Array<{
        analysis: string;
        usage?: any;
        error?: string;
    }>>;
    analyzeWithConfidence(params: ImageAnalysisRequest, options?: RequestOptions): Promise<ImageAnalysisResponse & {
        confidence?: number;
    }>;
    generateCaption(params: ImageAnalysisRequest, style?: 'professional' | 'casual' | 'funny' | 'technical', options?: RequestOptions): Promise<ImageAnalysisResponse>;
}