@burncloud/inference/dist/esm/providers/sambanova.js

Typescript client for the Hugging Face Inference Providers and Inference Endpoints

/**
 * See the registered mapping of HF model ID => Sambanova model ID here:
 *
 * https://huggingface.co/api/partners/sambanova/models
 *
 * This is a publicly available mapping.
 *
 * If you want to try to run inference for a new model locally before it's registered on huggingface.co,
 * you can add it to the dictionary "HARDCODED_MODEL_ID_MAPPING" in consts.ts, for dev purposes.
 *
 * - If you work at Sambanova and want to update this mapping, please use the model mapping API we provide on huggingface.co
 * - If you're a community member and want to add a new supported HF model to Sambanova, please open an issue on the present repo
 * and we will tag Sambanova team members.
 *
 * Thanks!
 */
import { InferenceOutputError } from "../lib/InferenceOutputError.js";
import { BaseConversationalTask, TaskProviderHelper } from "./providerHelper.js";
export class SambanovaConversationalTask extends BaseConversationalTask {
    constructor() {
        super("sambanova", "https://api.sambanova.ai");
    }
}
export class SambanovaFeatureExtractionTask extends TaskProviderHelper {
    constructor() {
        super("sambanova", "https://api.sambanova.ai");
    }
    makeRoute() {
        return `/v1/embeddings`;
    }
    async getResponse(response) {
        if (typeof response === "object" && "data" in response && Array.isArray(response.data)) {
            return response.data.map((item) => item.embedding);
        }
        throw new InferenceOutputError("Expected Sambanova feature-extraction (embeddings) response format to be {'data' : list of {'embedding' : number[]}}");
    }
    preparePayload(params) {
        return {
            model: params.model,
            input: params.args.inputs,
            ...params.args,
        };
    }
}