Individual skill
deepgram-observability
Set up comprehensive observability for Deepgram integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for Deepgram integration health. Trigger: "deepgram monitoring", "deepgram metrics", "deepgram observability", "monitor deepgram", "deepgram alerts", "deepgram dashboard".
plugins/saas-packs/deepgram-pack/skills/deepgram-observability/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
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- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- deepgram Declared skill tag
- monitoring Declared skill tag
- observability Declared skill tag
- prometheus Declared skill tag
- engineering Derived category
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SKILL.mdcore · 11,913 bytesreferences/implementation.mddoc · 8,175 bytes
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# Deepgram Observability
## Prerequisites
- An approved metrics/tracing/logging backend, data-retention policy, and on-call owner.
- Redaction rules that exclude audio, transcript text, API keys, participant identifiers, and other sensitive metadata.
## Examples
Emit aggregate metrics for request count, latency, model, status class, streaming duration, and rate-limit headroom. Trigger a non-sensitive staging failure to verify alert routing, then record the correlation ID and remediation time—never audio samples, transcripts, or credentials.
## Overview
Full observability stack for Deepgram: Prometheus metrics (request counts, latency histograms, audio processed, cost tracking), OpenTelemetry distributed tracing, structured JSON logging with Pino, Grafana dashboard JSON, and AlertManager rules.
