Inference AIopsofficial
A
licenseB
qualityA
maintenanceEnables governance-grade AIops for GPU inference clusters with root-cause analysis, metrics, and policy-governed operations for vLLM and Ray.
39
MIT
DIO Predictive Inference Orchestrator
by nisaral
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TDQS
A3.6/5.0
Scored across 4 tools
Disambiguation4/5
The tools have mostly distinct purposes: listing models, predicting latency, routing prompts, and checking cluster telemetry. Minor overlap exists between dio_get_models and dio_cluster_status since both mention health, but their descriptions clarify that one is model/backend inventory and the other is deep operational telemetry.
Naming Consistency4/5
Three tools follow a clear verb_noun pattern (get_models, predict_latency, route_prompt), while dio_cluster_status deviates by omitting the verb. The shared 'dio_' prefix and overall readability keep the set mostly consistent.
Tool Count5/5
With 4 tools, the server is well-scoped for an inference orchestrator. Each tool covers a distinct, necessary capability (discover, predict, route, monitor) without unnecessary bloat.
Completeness4/5
The core workflow of checking available models, predicting latency, routing a prompt, and inspecting cluster health is fully covered. Minor gaps exist such as detailed per-model information or explicit policy management, but these are not critical for the server's stated purpose.
Maintenance
ActivityActive
ResponsivenessResponsive