Files
opencommit/src/utils/engineErrorHandler.ts
di-sukharev 5b241ed2d0 refactor: enhance error handling and normalization across AI engines
This update introduces a centralized error handling mechanism for various AI engines, improving the consistency and clarity of error messages. The new `normalizeEngineError` function standardizes error responses, allowing for better user feedback and recovery suggestions. Additionally, specific error classes for insufficient credits, rate limits, and service availability have been implemented, along with user-friendly formatting for error messages. This refactor aims to enhance the overall user experience when interacting with the AI services.
2026-01-17 23:34:49 +03:00

206 lines
5.4 KiB
TypeScript

import axios from 'axios';
import {
AuthenticationError,
InsufficientCreditsError,
ModelNotFoundError,
RateLimitError,
ServiceUnavailableError
} from './errors';
/**
* Extracts HTTP status code from various error types
*/
function getStatusCode(error: unknown): number | null {
// Direct status property (common in API SDKs)
if (typeof (error as any)?.status === 'number') {
return (error as any).status;
}
// Axios-style errors
if (axios.isAxiosError(error)) {
return error.response?.status ?? null;
}
// Response object with status
if (typeof (error as any)?.response?.status === 'number') {
return (error as any).response.status;
}
return null;
}
/**
* Extracts retry-after value from error headers (for rate limiting)
*/
function getRetryAfter(error: unknown): number | undefined {
const headers = (error as any)?.response?.headers;
if (headers) {
const retryAfter = headers['retry-after'] || headers['Retry-After'];
if (retryAfter) {
const seconds = parseInt(retryAfter, 10);
if (!isNaN(seconds)) {
return seconds;
}
}
}
return undefined;
}
/**
* Extracts the error message from various error structures
*/
function extractErrorMessage(error: unknown): string {
if (error instanceof Error) {
return error.message;
}
// API error response structures
const apiError = (error as any)?.response?.data?.error;
if (apiError) {
if (typeof apiError === 'string') {
return apiError;
}
if (apiError.message) {
return apiError.message;
}
}
// Direct error data
const errorData = (error as any)?.error;
if (errorData) {
if (typeof errorData === 'string') {
return errorData;
}
if (errorData.message) {
return errorData.message;
}
}
// Fallback
if (typeof error === 'string') {
return error;
}
return 'An unknown error occurred';
}
/**
* Checks if the error message indicates a model not found error
*/
function isModelNotFoundMessage(message: string): boolean {
const lowerMessage = message.toLowerCase();
return (
(lowerMessage.includes('model') &&
(lowerMessage.includes('not found') ||
lowerMessage.includes('does not exist') ||
lowerMessage.includes('invalid') ||
lowerMessage.includes('pull'))) ||
lowerMessage.includes('does_not_exist')
);
}
/**
* Checks if the error message indicates insufficient credits
*/
function isInsufficientCreditsMessage(message: string): boolean {
const lowerMessage = message.toLowerCase();
return (
lowerMessage.includes('insufficient') ||
lowerMessage.includes('credit') ||
lowerMessage.includes('quota') ||
lowerMessage.includes('balance too low') ||
lowerMessage.includes('billing') ||
lowerMessage.includes('payment required') ||
lowerMessage.includes('exceeded')
);
}
/**
* Normalizes raw API errors into typed error classes.
* This provides consistent error handling across all engine implementations.
*
* @param error - The raw error from the API call
* @param provider - The AI provider name (e.g., 'openai', 'anthropic')
* @param model - The model being used
* @returns A typed Error instance
*/
export function normalizeEngineError(
error: unknown,
provider: string,
model: string
): Error {
// If it's already one of our custom errors, return as-is
if (
error instanceof ModelNotFoundError ||
error instanceof AuthenticationError ||
error instanceof InsufficientCreditsError ||
error instanceof RateLimitError ||
error instanceof ServiceUnavailableError
) {
return error;
}
const statusCode = getStatusCode(error);
const message = extractErrorMessage(error);
// Handle based on HTTP status codes
switch (statusCode) {
case 401:
return new AuthenticationError(provider, message);
case 402:
return new InsufficientCreditsError(provider, message);
case 404:
// Could be model not found or endpoint not found
if (isModelNotFoundMessage(message)) {
return new ModelNotFoundError(model, provider, 404);
}
// Return generic error for other 404s
return error instanceof Error ? error : new Error(message);
case 429:
const retryAfter = getRetryAfter(error);
return new RateLimitError(provider, retryAfter, message);
case 500:
case 502:
case 503:
case 504:
return new ServiceUnavailableError(provider, statusCode, message);
}
// Handle based on error message content
if (isModelNotFoundMessage(message)) {
return new ModelNotFoundError(model, provider, 404);
}
if (isInsufficientCreditsMessage(message)) {
return new InsufficientCreditsError(provider, message);
}
// Check for rate limit patterns in message
const lowerMessage = message.toLowerCase();
if (
lowerMessage.includes('rate limit') ||
lowerMessage.includes('rate_limit') ||
lowerMessage.includes('too many requests')
) {
return new RateLimitError(provider, undefined, message);
}
// Check for auth patterns in message
if (
lowerMessage.includes('unauthorized') ||
lowerMessage.includes('api key') ||
lowerMessage.includes('apikey') ||
lowerMessage.includes('authentication') ||
lowerMessage.includes('invalid_api_key')
) {
return new AuthenticationError(provider, message);
}
// Return original error or wrap in Error if needed
return error instanceof Error ? error : new Error(message);
}