Agentic Observability: The AI Architect's Essential Blueprint

About this episode

This episode discusses the principles of Agentic Observability and its importance in developing robust AI agents for production.

In this episode of Safe and Sound AI, we dive into the challenge of moving AI agents from impressive demos to robust, production-ready systems. We break down the principles of Agentic Observability, explaining how this essential "blueprint" provides the clarity needed to overcome the "black box" problem during both development and production. Learn practical methods for monitoring key signals like tool usage and planning, discover how to diagnose the root causes of agent failures, and explore strategies for ensuring your agent delivers real-world value.

Topics covered

• Agentic Observability
• AI agents
• production systems
• black box problem
• monitoring
• diagnosing failures
• real-world value

Keywords

• Agentic Observability
• AI agents
• production-ready systems
• black box problem
• monitoring
• diagnosing failures
• real-world value

Mentioned in this episode

Organizations: Fiddler AI

Books & works: Safe and Sound AI

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• Introducing Fiddler Guardrails: The Fastest in the Industry · February 27, 2025 · 7 min
• Should you Observe ML Metrics or Inferences? · February 12, 2025 · 13 min
• Tracking Drift to Monitor LLM Performance · December 12, 2024 · 12 min