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The twinmind-observability skill enables developers to integrate robust monitoring into their TwinMind implementations using industry-standard tools like Prometheus and OpenTelemetry. It provides structured metrics for transcription performance, AI token usage, and rate limits, alongside distributed tracing for debugging complex meeting AI workflows. This skill is essential for maintaining production health, optimizing costs, and ensuring high reliability for speech-to-text and AI summarization services.
