LLM Agent Guardrails: The Engineering Playbook for Taking an 8B Local Model from 53% to 99%...
LLM Agent Guardrails: The Engineering Playbook for Taking an 8B Local Model from 53% to 99% on Agentic Workflows
Table of Contents
The Reliability Crisis in Agentic AI
Why Do LLM Agents Fail? The Four Failure Modes
The Guardrail Architecture: Four Pillars
How Together AI Uses AI Agents to Automate Complex Engineering Tasks: Lessons from Developing Efficient LLM Inference Systems
You gave your AI agent real tools. Here's the 4-part control layer it's missing + the Judge Layer implementation guide
Eval engineering: The missing piece of agentic AI governance - SiliconANGLE
LLM Evaluation and AI Observability for Agent Monitoring | The PyCharm Blog
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability - Microsoft Research
Meet LiteLLM Agent Platform: A Kubernetes-Based, Self-Hosted Infrastructure Layer for Isolated Agent Sandboxes and Persistent Session Management in Production
