mcp-server-gpt-image/dist/interfaces/responses-api.interface.d.ts

MCP server for OpenAI GPT Image-1 and Responses API with dual-mode support, real-time streaming, intelligent caching, and automatic image optimization

import { ImageGenerationInput, ImageEditInput } from '../types.js';
export interface ImageGenerationTool {
    type: 'image_generation';
    size?: string;
    quality?: string;
    format?: string;
    background?: string;
    compression?: number;
    partial_images?: number;
}
export interface ImageGenerationCall {
    id: string;
    type: 'image_generation_call';
    status: 'completed';
    revised_prompt?: string;
    result: string;
}
export interface ResponsesAPIInput {
    model: string;
    input: string | Array<{
        role?: string;
        content?: Array<{
            type: 'input_text' | 'input_image';
            text?: string;
            image?: string;
        }>;
        type?: 'image_generation_call';
        id?: string;
    }>;
    tools?: ImageGenerationTool[];
    tool_choice?: {
        type: 'image_generation';
    };
    previous_response_id?: string;
    stream?: boolean;
}
export interface ResponsesAPIOutput {
    id: string;
    output: Array<{
        type: 'text' | 'image_generation_call';
        text?: string;
        id?: string;
        status?: 'completed';
        revised_prompt?: string;
        result?: string;
    }>;
    usage?: {
        input_tokens: number;
        output_tokens: number;
        total_tokens: number;
    };
}
export interface ResponsesStreamEvent {
    type: 'response.image_generation_call.partial_image' | 'response.done' | 'response.content.delta';
    partial_image_index?: number;
    partial_image_b64?: string;
    delta?: string;
}
export interface IResponsesAPIClient {
    create(params: ResponsesAPIInput): Promise<ResponsesAPIOutput>;
    createStream(params: ResponsesAPIInput): AsyncGenerator<ResponsesStreamEvent, void, unknown>;
}
export interface IResponsesImageGenerator {
    generate(input: ImageGenerationInput): Promise<{
        images: string[];
        revised_prompt?: string;
        response_id?: string;
    }>;
    edit(input: ImageEditInput): Promise<{
        images: string[];
        revised_prompt?: string;
        response_id?: string;
    }>;
    generateWithStreaming(input: ImageGenerationInput): AsyncGenerator<{
        type: 'partial' | 'complete' | 'progress';
        data: {
            partialImage?: string;
            index?: number;
            finalImage?: string;
            revisedPrompt?: string;
            message?: string;
            percentage?: number;
        };
    }, void, unknown>;
}
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