Agent Observability Stack
Description
Self-hostable observability for LLM agents + a Linux host (Intel iGPU/NPU + NVIDIA RTX 3090 eGPU aware): Prometheus + Grafana + Tempo + OTel, OpenClaw/LiteLLM/Claude Code/RAG metrics, dynamic onboarding, Telegram alerts.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
agent-observability-stack
A self-hostable observability stack for **LLM agents + a Linux host (Intel iGPU/NPU + NVIDIA GPU aware)**, built as a single LAN-accessible pane of glass. Two pipelines, one Grafana:
- Infra metrics (pull): CPU, RAM, disk, network + latency, containers, and accelerator telemetry —
Intel iGPU/NPU and NVIDIA GPU (
nvidia-smi: util, VRAM incl. per-process, temp, power, clocks) → Prometheus. - Agent telemetry (push): OpenClaw diagnostics → OTLP → OpenTelemetry
Collector → Grafana Tempo (traces) + Prometheus (metrics); LLM tokens, cost, latency, cache
from a LiteLLM proxy; and local llama.cpp inference (
/metrics: decode/prefill tok/s, queue depth, and an MTP speculative-decoding acceptance signal).
New agents, containers, and accelerators **onboard themselves** — no per-target config edits.
Demo
Full walkthrough (~72s) — the dashboards end to end: infra (host, accelerators, containers), the agents pipeline (cost, tokens, latency, call outcomes, traces, live agent inventory), the **Claude Code & RAG** dashboard, and the **QMD Vector Space** (RAG memory corpus + benchmark queries projected to 2D/3D).
https://github.com/user-attachments/assets/ef08dcad-d20c-43eb-aa14-42b8cd2c014c
Architecture
INFRA METRICS (pull) AGENT / AI TELEMETRY (push)
node_exporter ────┐ OpenClaw gateway Claude Code (OTel)
cadvisor ─┤ ├─ diag-prometheus ─(loopback textfile)─┐ │
blackbox ─┤ │ │ │ OTLP
intel igpu/npu ─┼─► Prometheus ◄───────────┤ │ ▼
nvidia gpu ─┤ ▲ └─ diag-otel ──OTLP─┐ └► OTel Collector
llama.cpp /metrics┤ │ ▼ │
litellm /metrics
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