Detailed Description
This artifact is part of a multi-agent architecture designed for next-generation autonomous networks. It provides intent-based observability by translating high-level operational questions into executable PromQL/MetricsQL queries, running them against VictoriaMetrics, and returning structured, evidence-backed results. Outputs include KPI summaries, trend analysis, anomaly indicators, confidence levels. The agent interacts with VictoriaMetrics using Prometheus-compatible APIs:
- Instant queries (/api/v1/query) for “current state” inspection
- Range queries (/api/v1/query_range) for “trend or last N minutes/hours/days” analysis
Key Features
- Intent-driven PromQL/MetricsQL query generation
- Prometheus-compatible VictoriaMetrics integration
- Evidence-backed KPI summarization and reporting
- Baseline comparison and trend deviation analysis
- Multi-agent observability output integration
Use Cases
- 5G network KPI observability
- Cell-level and slice-level performance troubleshooting
- Pre- and post-configuration change validation
- Closed-loop automation input for control agents
- Cross-layer performance degradation analysis

