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kegbi
kegbiCOMMUNITY
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log-viewer

Query Loki, Tempo, and Prometheus to surface actionable issues from logs, traces, and metrics.

1|Updated Mar 15, 2026
Search Tags:#debugging#observability#prometheus#loki#tempo#log-viewer#monica-companion
One-click install
npx skills add https://github.com/kegbi/monica-companion --skill log-viewer-kegbi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-viewer
Source: https://github.com/kegbi/monica-companion/tree/main/.claude/skills/log-viewer
Command: npx skills add https://github.com/kegbi/monica-companion --skill log-viewer-kegbi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debug Monica Companion services using the observability stack to access logs, traces, and metrics from Loki, Tempo, and Prometheus.

Core Features & Use Cases

  • Query Loki for structured logs to correlate events.
  • Inspect Tempo traces to understand latency and call flows.
  • Monitor Prometheus metrics to assess service health and performance.
  • Use during incident investigations, debugging message flows, and health checks across Monica's microservices.

Quick Start

Start the observability stack with docker compose and query Loki for logs to begin debugging.

Frequently Asked Questions about log-viewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug Monica Companion microservices using Loki logs and Tempo traces?▼

Debug Monica Companion microservices by querying the observability stack to fetch, correlate, and present logs from Loki and traces from Tempo. This surfaces actionable issues for incident investigations and health checks across services like telegram-bridge and ai-router.

What is the best way to correlate Prometheus metrics with logs for incident investigation?▼

Correlate Prometheus metrics with logs by querying the observability stack to fetch service health data alongside structured Loki logs. This allows you to assess performance and understand latency issues across Monica Companion services during active incidents.

How do I query Loki for structured logs to investigate a message flow issue?▼

Query Loki for structured logs to investigate message flow issues by accessing the running Docker Compose observability profile. This fetches correlated events across Monica microservices to surface actionable debugging insights.

Do I need a running Docker Compose observability profile to use this log-viewer?▼

Yes, you need a running Docker Compose observability profile and access to Loki, Tempo, and Prometheus endpoints to fetch, correlate, and present results for debugging Monica Companion services.

Can I inspect Tempo traces to understand latency across Monica services like voice-transcription?▼

Yes, you can inspect Tempo traces to understand latency and call flows across Monica services. The log-viewer queries the observability stack to surface performance tuning issues for microservices like voice-transcription and scheduler.

What microservices are supported by the Monica observability stack queries?▼

Monica observability stack queries support incident investigations and health checks across telegram-bridge, ai-router, voice-transcription, monica-integration, scheduler, delivery, user-management, and web-ui services.

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