observability-check
CommunityTrace AI health with Langfuse and Sentry.
Authorskyasu2
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Unified observability for AI workloads by correlating Langfuse traces with Sentry issues to accelerate incident diagnosis and performance tuning.
Core Features & Use Cases
- Correlate AI execution traces with error and performance issues from Sentry to surface root causes.
- Monitor AI health across recent runs and identify bottlenecks or failing components.
- Use case: When an AI agent response latency spikes, generate a combined report linking Langfuse traces to Sentry errors for rapid triage and remediation.
Quick Start
- Ensure credentials are set in .env.local (LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, SENTRY_AUTH_TOKEN)
- Fetch recent traces and issues using curl commands
- Run the analyzer to produce a compact observability report
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: observability-check Download link: https://github.com/skyasu2/openmanager-vibe-v5/archive/main.zip#observability-check Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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