NVIDIA NeMo Agent Optimization Workflow
What it is
This is a technical tutorial describing a workflow that uses NVIDIA NeMo Compass to analyze agent traces for failures and NeMo Eval Author to generate custom evaluations. It demonstrates how to use these tools to iteratively improve agent harnesses, prompts, and tool usage.
The problem it solves
Generic benchmarks fail to explain specific domain-specific agent failures, making it difficult to know which part of the agent harness (prompt, tool, routing) needs fixing.
What you could use it for
- Identifying recurring failure patterns in production agent traces
- Generating custom evaluation suites for domain-specific agent behavior
- Optimizing agent system prompts and tool routing to reduce errors
Why it matters
Enables systematic, data-driven improvement of agent reliability and performance by converting production failures into actionable tests and code fixes.
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