@mantisware/peepit-mcp
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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.
33 lines • 1.5 kB
JavaScript
export function buildImageSummary(input, data, question) {
if (!data.saved_files || data.saved_files.length === 0) {
return "Image capture completed but no files were saved or available for analysis.";
}
// Determine mode and target from app_target (removed since we're not using them anymore)
// The summary now just shows the count of images captured
// Generate summary matching the expected format
const imageCount = data.saved_files.length;
let summary = `Captured ${imageCount} image${imageCount > 1 ? "s" : ""}`;
if (data.saved_files.length === 1) {
if (!question || (question && input.path)) {
// Show path if no question or if question with explicit path
summary += `\nImage saved to: ${data.saved_files[0].path}`;
}
}
else if (data.saved_files.length > 1) {
summary += `\n${data.saved_files.length} images saved:`;
data.saved_files.forEach((file, index) => {
summary += `\n${index + 1}. ${file.path}`;
if (file.item_label) {
summary += ` (${file.item_label})`;
}
});
}
else if (input.question && input.path && data.saved_files?.length) {
summary += `\nImage saved to: ${data.saved_files[0].path}`;
}
else if (input.question && data.saved_files?.length) {
summary += "\nImage captured to temporary location for analysis.";
}
return summary;
}
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