documind/core/dist/providers/google.js

Intelligent document processing and extraction.

"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.Google = void 0;
const axios_1 = __importDefault(require("axios"));
const types_1 = require("../types");
const utils_1 = require("../utils");
class Google {
    async getCompletion(args) {
        const { imagePath, llmParams, maintainFormat, model, priorPage, } = args;
        if (!process.env.GEMINI_API_KEY) {
            throw new Error("Missing GEMINI_API_KEY in environment variables.");
        }
        const apiKey = process.env.GEMINI_API_KEY;
        const validModels = Object.values(types_1.GoogleModels);
        if (!validModels.includes(model)) {
            throw new Error(`Model "${model}" is not a google model.`);
        }
        const systemPrompt = `
    Convert the following image/document  to markdown. 
    Return only the markdown with no explanation text. Do not include deliminators like '''markdown.
    You must include all information on the page. Do not exclude headers, footers, or subtext.
  `;
        const messages = [{ role: "system", content: systemPrompt }];
        if (maintainFormat && priorPage) {
            messages.push({
                role: "system",
                content: `Please ensure markdown formatting remains consistent with the prior page:\n\n"""${priorPage}"""`,
            });
        }
        const base64Image = await (0, utils_1.encodeImageToBase64)(imagePath);
        messages.push({
            role: "user",
            content: [
                {
                    "type": "text", //Using Gemini via openai requires text parameter
                    "text": ""
                },
                {
                    type: "image_url",
                    image_url: { url: `data:image/png;base64,${base64Image}` },
                },
            ],
        });
        try {
            const response = await axios_1.default.post("https://generativelanguage.googleapis.com/v1beta/openai/chat/completions", {
                messages,
                model,
                // ...convertKeysToSnakeCase(llmParams ?? null),
            }, {
                headers: {
                    Authorization: `Bearer ${apiKey}`,
                    "Content-Type": "application/json",
                },
            });
            const data = response.data;
            return {
                content: data.choices[0].message.content,
                inputTokens: data.usage?.prompt_tokens ?? 0,
                outputTokens: data.usage?.completion_tokens ?? 0,
            };
        }
        catch (err) {
            console.error("Google provider error:", err);
            throw err;
        }
    }
}
exports.Google = Google;