openvino-genai-node/dist/index.js

OpenVINO™ GenAI pipelines for using from Node.js environment

// Copyright (C) 2025-2026 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
import { LLMPipeline as LLM } from "./pipelines/llmPipeline.js";
import { VLMPipeline as VLM } from "./pipelines/vlmPipeline.js";
import { TextEmbeddingPipeline as Embedding } from "./pipelines/textEmbeddingPipeline.js";
import { TextRerankPipeline as TextRerank, } from "./pipelines/textRerankPipeline.js";
import { WhisperPipeline as Whisper } from "./pipelines/whisperPipeline.js";
import { Text2ImagePipeline as Text2Image } from "./pipelines/text2ImagePipeline.js";
import { Image2ImagePipeline as Image2Image } from "./pipelines/image2ImagePipeline.js";
import { InpaintingPipeline as Inpainting } from "./pipelines/inpaintingPipeline.js";
import { Text2SpeechPipeline as Text2Speech } from "./pipelines/text2SpeechPipeline.js";
class PipelineFactory {
    static async LLMPipeline(modelPath, device, properties = {}) {
        if (device === undefined)
            device = "CPU";
        if (typeof device !== "string") {
            throw new Error("The second argument must be a device string. If you want to pass LLMPipelineProperties, please use the third argument.");
        }
        const pipeline = new LLM(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async VLMPipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new VLM(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async TextEmbeddingPipeline(modelPath, device = "CPU", config = {}) {
        const pipeline = new Embedding(modelPath, device, config);
        await pipeline.init();
        return pipeline;
    }
    static async TextRerankPipeline(modelPath, options = {}) {
        const pipeline = new TextRerank(modelPath, options);
        await pipeline.init();
        return pipeline;
    }
    static async WhisperPipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new Whisper(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async Text2ImagePipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new Text2Image(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async Image2ImagePipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new Image2Image(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async InpaintingPipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new Inpainting(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
    static async Text2SpeechPipeline(modelPath, device = "CPU", properties = {}) {
        const pipeline = new Text2Speech(modelPath, device, properties);
        await pipeline.init();
        return pipeline;
    }
}
export const { LLMPipeline, VLMPipeline, TextEmbeddingPipeline, TextRerankPipeline, WhisperPipeline, Text2ImagePipeline, Image2ImagePipeline, InpaintingPipeline, Text2SpeechPipeline, } = PipelineFactory;
export { DecodedResults, VLMDecodedResults, WhisperDecodedResults, Text2SpeechDecodedResults, } from "./decodedResults.js";
export * from "./utils.js";
export * from "./addon.js";
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