Build resilient generative AI agents

This article provides a comprehensive guide to building resilient generative AI agents, focusing on seven key dimensions and five primary resilience challenges:

• Seven Resilience Dimensions:
  • Foundation models
  • Agent orchestration
  • Deployment infrastructure
  • Knowledge base
  • Agent tools
  • Security and compliance
  • Evaluation and observability
• Top 5 Resilience Problems:
  • Shared fate (component failures cascading)
  • Insufficient capacity
  • Excessive latency
  • Incorrect agent responses
  • Single points of failure

Key recommendations include implementing fault isolation, capacity planning, prompt engineering, guardrails, redundancy, and continuous testing to create more reliable AI agents.