@llumiverse/drivers/lib/esm/src/xai/index.js

LLM driver implementations. Currently supported are: openai, huggingface, bedrock, replicate.

import { formatOpenAILikeMultimodalPrompt } from "../openai/openai_format.js";
import { FetchClient } from "@vertesia/api-fetch-client";
import OpenAI from "openai";
import { BaseOpenAIDriver } from "../openai/index.js";
export class xAIDriver extends BaseOpenAIDriver {
    service;
    provider;
    xai_service;
    DEFAULT_ENDPOINT = "https://api.x.ai/v1";
    constructor(opts) {
        super(opts);
        if (!opts.apiKey) {
            throw new Error("apiKey is required");
        }
        this.service = new OpenAI({
            apiKey: opts.apiKey,
            baseURL: opts.endpoint ?? this.DEFAULT_ENDPOINT,
        });
        this.xai_service = new FetchClient(opts.endpoint ?? this.DEFAULT_ENDPOINT).withAuthCallback(async () => `Bearer ${opts.apiKey}`);
        this.provider = "xai";
        //this.formatPrompt = this._formatPrompt; //TODO: fix xai prompt formatting
    }
    async _formatPrompt(segments, opts) {
        const options = {
            multimodal: opts.model.includes("vision"),
            schema: opts.result_schema,
            useToolForFormatting: false,
        };
        const p = await formatOpenAILikeMultimodalPrompt(segments, { ...options, ...opts });
        return p;
    }
    extractDataFromResponse(_options, result) {
        return {
            result: result.choices[0].message.content ? [{ type: "text", value: result.choices[0].message.content }] : [],
            finish_reason: result.choices[0].finish_reason,
            token_usage: {
                prompt: result.usage?.prompt_tokens,
                result: result.usage?.completion_tokens,
                total: result.usage?.total_tokens,
            }
        };
    }
    async listModels() {
        const [lm, em] = await Promise.all([
            this.xai_service.get("/language-models"),
            this.xai_service.get("/embedding-models")
        ]);
        em.models.forEach(m => {
            m.output_modalities.push("vectors");
        });
        const models = [...lm.models, ...em.models].map(model => {
            return {
                id: model.id,
                provider: this.provider,
                name: model.object,
                description: model.object,
                is_multimodal: model.input_modalities.length > 1,
                tags: [...model.input_modalities.map(m => `ì:${m}`), ...model.output_modalities.map(m => `ì:${m}`)],
            };
        });
        return models;
    }
}
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