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aidio-description/dist/providers/vision/openAIVisionProvider.js

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"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.OpenAIVisionProvider = void 0;
const fs_1 = __importDefault(require("fs"));
const openai_1 = require("openai");
/**
* OpenAI Vision Provider Implementation
*/
class OpenAIVisionProvider {
constructor(config) {
this.config = config;
this.openai = new openai_1.OpenAI({
apiKey: config.apiKey,
});
}
/**
* Describe a single image
* @param imagePath - Path to the image file
* @param prompt - Prompt for the AI
* @returns Description and usage stats
*/
async describeImage(imagePath, prompt) {
try {
const imageData = fs_1.default.readFileSync(imagePath);
const base64Image = imageData.toString('base64');
const response = await this.openai.chat.completions.create({
model: this.config.model,
temperature: 0.1,
messages: [
{
role: "user",
content: [
{ type: "text", text: prompt },
{
type: "image_url",
image_url: {
url: `data:image/jpeg;base64,${base64Image}`
}
}
]
}
],
max_completion_tokens: this.config.maxTokens || 300
});
return {
description: response.choices[0].message.content?.trim() || "No description generated.",
usage: {
inputTokens: response.usage?.prompt_tokens || 0,
outputTokens: response.usage?.completion_tokens || 0,
totalTokens: response.usage?.total_tokens || 0
}
};
}
catch (error) {
console.error("Error describing image:", error);
return {
description: "Unable to describe this image.",
usage: { inputTokens: 0, outputTokens: 0, totalTokens: 0 }
};
}
}
/**
* Compare two images and describe the differences
* @param image1Path - Path to the first image
* @param image2Path - Path to the second image
* @param prompt - Prompt for the AI
* @returns Description and usage stats
*/
async compareImages(image1Path, image2Path, prompt) {
try {
const image1Data = fs_1.default.readFileSync(image1Path);
const image2Data = fs_1.default.readFileSync(image2Path);
const base64Image1 = image1Data.toString('base64');
const base64Image2 = image2Data.toString('base64');
const response = await this.openai.chat.completions.create({
model: this.config.model,
messages: [
{
role: "user",
content: [
{ type: "text", text: prompt },
{
type: "image_url",
image_url: {
url: `data:image/jpeg;base64,${base64Image1}`
}
},
{
type: "image_url",
image_url: {
url: `data:image/jpeg;base64,${base64Image2}`
}
}
]
}
],
max_completion_tokens: this.config.maxTokens || 300
});
return {
description: response.choices[0].message.content?.trim() || "No description generated.",
usage: {
inputTokens: response.usage?.prompt_tokens || 0,
outputTokens: response.usage?.completion_tokens || 0,
totalTokens: response.usage?.total_tokens || 0
}
};
}
catch (error) {
console.error("Error comparing images:", error);
return {
description: "Unable to describe the differences between these images.",
usage: { inputTokens: 0, outputTokens: 0, totalTokens: 0 }
};
}
}
/**
* Describe a batch of images
* @param imagePaths - Array of paths to the images
* @param lastBatchContext - Context from the previous batch
* @param prompt - Prompt for the AI
* @returns Description and usage stats
*/
async describeBatch(imagePaths, lastBatchContext, prompt) {
try {
// Convert images to base64
const imagesBase64 = imagePaths.map(fp => {
const imageData = fs_1.default.readFileSync(fp);
return imageData.toString('base64');
});
// Build the messages array for the chat completion
const messages = [
{
role: "user",
content: [
{ type: "text", text: prompt }
]
}
];
// If we have some text context from the last batch, inject that as well
if (lastBatchContext && lastBatchContext.lastDescription) {
messages.unshift({
role: "system",
content: `Previous batch summary: ${lastBatchContext.lastDescription}`
});
}
// Append each image in the new batch
imagesBase64.forEach(base64 => {
messages[messages.length - 1].content.push({
type: "image_url",
image_url: {
url: `data:image/jpeg;base64,${base64}`
}
});
});
const response = await this.openai.chat.completions.create({
model: this.config.model,
messages,
max_completion_tokens: this.config.maxTokens || 300
});
return {
description: response.choices[0].message.content?.trim() || "No description generated.",
usage: {
inputTokens: response.usage?.prompt_tokens || 0,
outputTokens: response.usage?.completion_tokens || 0,
totalTokens: response.usage?.total_tokens || 0
}
};
}
catch (error) {
console.error("Error describing batch of images:", error);
return {
description: "Unable to describe this batch of images.",
usage: { inputTokens: 0, outputTokens: 0, totalTokens: 0 }
};
}
}
}
exports.OpenAIVisionProvider = OpenAIVisionProvider;
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