LLM Observability: Monitoring Large Language Models

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This comprehensive guide explores the essential observability strategies and tools needed to successfully monitor LLMs in production. Traditional monitoring tools fall short—comprehensive observability is essential for: Unlike traditional applications, LLMs present unique observability challenges including token-based pricing models, variable inference times, and the need to monitor both technical metrics and model quality metrics. Exporting LLM Metrics with Prometheus Expose inference request counts and latency metrics from your LLM service.

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