gnn-intelligent-analysis

To analyze GNN pipeline executions, you can run an end-to-end analysis that processes multiple steps to surface failures, performance bottlenecks, and AI-generated insights. The analysis produces per-step flags, health scores, and comprehensive executive reports.

AI-powered health scoring evaluates end-to-end GNN pipeline executions to generate per-step yellow and red flags. It provides actionable insights and recovery guidance, culminating in generative executive reports with optimization recommendations.

Yes, you can generate executive reports in markdown, json, and html formats. These reports contain AI-generated insights, health scores, and optimization recommendations derived from your GNN pipeline execution analysis.

When LLMs are unavailable, pipeline flag detection and health analysis operate using a safe rule-based fallback. This ensures robust operation in isolation, allowing the system to continue surfacing failures and performance bottlenecks without interruption.

Yes, GNN pipeline analysis provides per-step yellow and red flag detection paired with actionable insights and recovery guidance. It evaluates end-to-end runs to help you address performance bottlenecks and optimize subsequent executions.