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- Introduced a new `useEventRecency` hook to track the recency of WebSocket events, allowing for conditional polling based on event activity. - Updated `AgentInfoPanel` to utilize the new hook, adjusting polling intervals based on WebSocket activity. - Implemented debounced invalidation for auto mode events to optimize query updates during rapid event streams. - Added utility functions for managing event recency checks in various query hooks, improving overall responsiveness and reducing unnecessary polling. - Introduced debounce and throttle utilities for better control over function execution rates. This enhancement improves the application's performance by reducing polling when real-time updates are available, ensuring a more efficient use of resources.
@automaker/utils
Shared utility functions for AutoMaker.
Overview
This package provides common utility functions used across AutoMaker's server and UI. It includes error handling, logging, conversation utilities, image handling, and prompt building.
Installation
npm install @automaker/utils
Exports
Logger
Structured logging with context.
import { createLogger, LogLevel } from '@automaker/utils';
const logger = createLogger('MyComponent');
logger.info('Processing request');
logger.error('Failed to process:', error);
logger.debug('Debug information', { data });
Error Handler
Error classification and user-friendly messages.
import {
isAbortError,
isCancellationError,
isAuthenticationError,
classifyError,
getUserFriendlyErrorMessage,
} from '@automaker/utils';
try {
await operation();
} catch (error) {
if (isAbortError(error)) {
console.log('Operation was aborted');
}
const errorInfo = classifyError(error);
const message = getUserFriendlyErrorMessage(error);
}
Conversation Utils
Message formatting and conversion.
import {
extractTextFromContent,
normalizeContentBlocks,
formatHistoryAsText,
convertHistoryToMessages,
} from '@automaker/utils';
const text = extractTextFromContent(contentBlocks);
const normalized = normalizeContentBlocks(content);
const formatted = formatHistoryAsText(messages);
const converted = convertHistoryToMessages(history);
Image Handler
Image processing for Claude prompts.
import {
getMimeTypeForImage,
readImageAsBase64,
convertImagesToContentBlocks,
formatImagePathsForPrompt,
} from '@automaker/utils';
const mimeType = getMimeTypeForImage('screenshot.png');
const base64 = await readImageAsBase64('/path/to/image.jpg');
const blocks = await convertImagesToContentBlocks(imagePaths, basePath);
const formatted = formatImagePathsForPrompt(imagePaths);
Prompt Builder
Build prompts with images for Claude.
import { buildPromptWithImages } from '@automaker/utils';
const result = await buildPromptWithImages({
basePrompt: 'Analyze this screenshot',
imagePaths: ['/path/to/screenshot.png'],
basePath: '/project/path',
});
console.log(result.prompt); // Prompt with image references
console.log(result.images); // Image data for Claude
File System Utils
Common file system operations.
import { ensureDir, fileExists, readJsonFile, writeJsonFile } from '@automaker/utils';
await ensureDir('/path/to/dir');
const exists = await fileExists('/path/to/file');
const data = await readJsonFile('/config.json');
await writeJsonFile('/config.json', data);
Usage Example
import { createLogger, classifyError, buildPromptWithImages } from '@automaker/utils';
const logger = createLogger('FeatureExecutor');
async function executeWithImages(prompt: string, images: string[]) {
try {
logger.info('Building prompt with images');
const result = await buildPromptWithImages({
basePrompt: prompt,
imagePaths: images,
basePath: process.cwd(),
});
logger.debug('Prompt built successfully', { imageCount: result.images.length });
return result;
} catch (error) {
const errorInfo = classifyError(error);
logger.error('Failed to build prompt:', errorInfo.message);
throw error;
}
}
Dependencies
@automaker/types- Type definitions
Used By
@automaker/server@automaker/ui