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Why Your AI Agent Fails at Observability: A Debugging Framework for Memory, Tool Calls, and RAG

Originally published on tamiz.pro . You built the agent. The prompt looks solid. The RAG pipeline is technically "working" because your vector DB returns results.

  • Agent failures often stem from opaque black box nature, not the LLM itself
  • Need semantic tracing to understand causal chain of tool calls and memory ops
  • Three pillars of observability: Memory State, Tool Execution, Retrieval Validity

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