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LangChain Observability Setup

langchain-observability

jeremylongshore/claude-code-plugins-plus-skills

Guide for instrumenting LangChain applications with LangSmith tracing, Prometheus metrics, OpenTelemetry spans, structured logging, Grafana dashboards, and alerting to monitor health and performance in staging or production.

Mistral Observability Stack

mistral-observability

jeremylongshore/claude-code-plugins-plus-skills

Instrument Mistral AI clients, expose Prometheus metrics, configure alerts, and build Grafana dashboards to keep API usage, latency, cost, and errors in check.

WMI Persistence Hunting

hunting-for-persistence-via-wmi-subscriptions

mukul975/Anthropic-Cybersecurity-Skills

Monitor and analyze Windows Management Instrumentation event subscriptions (filters, consumers, bindings) to detect and investigate fileless persistence mechanisms and attacker activity triggered via WMI, especially when other persistence traces are absent.

Eval-Driven Python QA

eval-driven-dev

github/awesome-copilot

Builds an eval-driven QA pipeline for Python LLM apps, instrumenting execution, inserting controlled inputs, running pixie test to score responses via evaluators, and iterating on failures to ensure quality.

Phoenix LLM Tracing

phoenix-tracing

github/awesome-copilot

Guides hooking Phoenix AI services with OpenInference tracing, covering setup, spans, instrumentation, and production deployment for LLM workflows using Python or TypeScript.

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