Developer shares LLM error handling strategies, distinguishing retryable vs. non-retryable errors

A developer shares their evolving strategy for handling Large Language Model (LLM) API errors, emphasizing the importance of distinguishing between transient and permanent failures. Their current approach involves retrying timeouts, 429 (Too Many Requests), and 5xx server errors with exponential backoff and jitter, while immediately failing on 400 (Bad Request), 401 (Unauthorized), and 403 (Forbidden) errors. They also implement a retry budget and ensure clean restarts for mid-stream failures. A key unresolved question is how to handle provider-specific 529 errors or general overload conditions, specifically whether to retry or switch to an alternative model. AI

IMPACT Provides practical guidance for developers integrating LLMs, improving system reliability and user experience.

RANK_REASON Developer shares personal experience and best practices for handling LLM API errors, which constitutes commentary on a technical topic.

Read on dev.to — LLM tag →

• 400
• 401
• 403
• 429
• 529
• 5XX
• LLM
• Retry-After

• product
• infra

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →