Individual skill
deepgram-reference-architecture
Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale. Trigger: "deepgram architecture", "transcription pipeline", "deepgram system design", "deepgram at scale", "enterprise deepgram", "deepgram queue".
plugins/saas-packs/deepgram-pack/skills/deepgram-reference-architecture/SKILL.md
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SKILL.mdcore · 11,559 bytesreferences/implementation.mddoc · 5,329 bytes
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# Deepgram Reference Architecture
## Prerequisites
- A documented audio/transcript data flow, consent/retention policy, approved environment boundaries, and service/data owners.
- Reviewed interfaces for auth, media ingestion, callbacks, observability, storage, and incident response.
## Examples
Model a development producer that validates media metadata, sends a request using a scoped project key, receives a signed callback, and records only correlation/state metrics. Promote the same versioned contract through staging before a production canary, retaining a dead-letter/recovery owner and excluding audio/transcript content from telemetry.
## Overview
Four reference architectures for Deepgram transcription at scale: synchronous REST for short files, async queue (BullMQ) for batch processing, WebSocket proxy for real-time streaming, and a hybrid router that auto-selects the best pattern based on audio duration.
