autodebug: Telemetry-Driven Inference Optimization Loop

An autonomous agent that deploys inference services, collects telemetry, and continuously redeploys with better configurations - indefinitely.

Traditional Observability Is Blind to Inference

Inference observability monitors inference systems at millisecond granularity, exposing internal runtime and GPU behavior hidden by second-level metrics.

vLLM Production Observability: From Model to Hardware

Production-grade profiling and monitoring for vLLM: always-on vLLM, PyTorch and CUDA profiling with tracing, metrics and errors in one place.