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Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures,…
Agent Architecture Audit A diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport/rendering mutations. When to Activate MANDATORY for: Releasing any agent or LLM-powered application to production Shipping features with tool calling, memory, or multi-step workflows Agent behavior degrades after adding wrapper layers User reports "the agent is getting worse" or "tools are flaky" Same model works in playground but breaks inside your wrapper Debugging agent behavior for more than 15 minutes without finding root cause Especially critical when: You've added new prompt layers, tool definitions, or memory systems Different agents in your system behave inconsistently The model was fine yesterday but is hallucinating today You suspect hidden repair/retry loops silently mutating responses
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