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LLM Apps in Production (RAG + Vector DB + Caching) · Lesson

Error Handling and Resilience Patterns

Design robust error handling, retry mechanisms, and circuit breakers to make your LLM applications more fault-tolerant.

Build Robust LLM Apps

LLM applications, especially those interacting with external APIs, need to be tough!

Resilience is about designing systems that can recover from failures gracefully, without crashing or providing a bad user experience.

In this lesson, we'll learn patterns to make your LLM apps more fault-tolerant.

Typical Failures

What kind of errors can an LLM application face?

  • API Rate Limits: Too many requests at once.
  • Network Issues: Temporary connection drops.
  • LLM Service Unavailability: The LLM provider is down.
  • Bad LLM Responses: Model returns invalid JSON or hallucinates.
  • Dependency Failures: Vector DB or other services fail.

All lessons in this course

  1. Securing LLM API Keys and Sensitive Data
  2. Rate Limiting and Abuse Prevention
  3. Error Handling and Resilience Patterns
  4. Defending Against Prompt Injection
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