@mantisware/peepit-mcp/dist/utils/image-analysis.js

Give your AI agents super-vision: blazing-fast macOS screenshots, smart window targeting, and local or cloud AI image analysis—all via a friendly Node.js MCP server.

import fs from "fs/promises";
import path from "path";
import os from "os";
import { parseAIProviders, analyzeImageWithProvider } from "./ai-providers.js";
export async function performAutomaticAnalysis(base64Image, question, logger, availableProvidersEnv) {
    const providers = parseAIProviders(availableProvidersEnv);
    if (!providers.length) {
        return {
            error: "Analysis skipped: No AI providers configured",
        };
    }
    // Try each provider in order until one succeeds
    for (const provider of providers) {
        try {
            logger.debug({ provider: `${provider.provider}/${provider.model}` }, "Attempting analysis with provider");
            // Create a temporary file for the provider (some providers need file paths)
            const tempDir = await fs.mkdtemp(path.join(os.tmpdir(), "peepit-analysis-"));
            const tempPath = path.join(tempDir, "image.png");
            const imageBuffer = Buffer.from(base64Image, "base64");
            await fs.writeFile(tempPath, imageBuffer);
            try {
                const analysisText = await analyzeImageWithProvider(provider, tempPath, base64Image, question, logger);
                // Clean up temp file
                await fs.unlink(tempPath);
                await fs.rmdir(tempDir);
                return {
                    analysisText,
                    modelUsed: `${provider.provider}/${provider.model}`,
                };
            }
            finally {
                // Ensure cleanup even if analysis fails
                try {
                    await fs.unlink(tempPath);
                    await fs.rmdir(tempDir);
                }
                catch {
                    // Ignore cleanup errors
                }
            }
        }
        catch (error) {
            logger.debug({ error, provider: `${provider.provider}/${provider.model}` }, "Provider failed, trying next");
            // Continue to next provider
        }
    }
    return {
        error: "Analysis failed: All configured AI providers failed or are unavailable",
    };
}
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