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Langfuse LLM Observability and Monitoring
langfuse-observability
jeremylongshore/claude-code-plugins-plus-skills
211
This guide details how to establish comprehensive observability for LLM operations using Langfuse. It covers setting up Prometheus metrics (tracking traces, generation duration, and token usage) and visualizing them in Grafana dashboards. Ideal for monitoring application health, optimizing costs, and tracking performance over time.
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Abridge CI/CD for Healthcare AI
abridge-ci-integration
jeremylongshore/claude-code-plugins-plus-skills
306
This skill establishes a comprehensive CI/CD pipeline specifically for Abridge clinical AI integrations using GitHub Actions. It enforces critical healthcare compliance steps, including FHIR R4 resource validation, robust detection of Protected Health Information (PHI) leaks (like SSN), and end-to-end sandbox integration testing. Ideal for deploying secure, compliant AI applications in the healthcare sector.
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English