Fix alert triage agent: switch to nemotron-3-nano model and improve prompts#1750
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rapids-bot[bot] merged 1 commit intoNVIDIA:release/1.5from Mar 5, 2026
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…e and a high max_token count; Prompt updates for the agent to work better with nemotron2-nano Signed-off-by: Hsin Chen <hsinc@nvidia.com>
WalkthroughThe pull request updates an alert triage agent system by correcting a method call to property access in the categorizer logic, migrating LLM models to a different variant with adjusted hyperparameters in the offline configuration, and refining prompt guidance for improved diagnostic tool usage and classification accuracy. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes 🚥 Pre-merge checks | ✅ 2 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Summary
nvidia/llama-3.3-nemotron-super-49b-v1.5tonvidia/nemotron-3-nano-30b-a3bacross all LLM configs inconfig_offline_mode.yml, withtemperature: 0andmax_tokens: 16384for deterministic and more complete outputs.false_positiveandneed_investigationcategories to reduce misclassification —false_positivenow requires all diagnostic checks to indicate a healthy system, andneed_investigationis reserved for genuinely incomplete or conflicting data.categorizer.py: replaceresult.text()(method call) withresult.text(property access).host_performance_checktool description.Test plan
pytest -v --run_slow --run_integration examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py::test_full_workflow10 times — all 10 runs passed with no intermittent failures.Summary by CodeRabbit
Bug Fixes
Improvements