AssemblyAI Reference Architecture
Implements production-ready AssemblyAI transcription services with layered architecture and LeMUR analysis pipelines.
The AssemblyAI Reference Architecture skill provides a comprehensive blueprint for building professional speech-to-text applications. It guides developers through setting up a scalable, layered project structure that includes singleton client management, webhook-driven asynchronous processing, real-time streaming, and advanced AI analysis via LeMUR. This skill is ideal for developers moving beyond basic API calls to build robust, production-grade systems with built-in best practices for error handling, data flow, and GDPR compliance.
주요 기능
01Asynchronous webhook-driven transcription processing
02LeMUR integration for automated summaries and action items
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04Efficient batch processing with concurrency control
05Layered architectural blueprint for TypeScript projects
06Real-time streaming service with temporary token management
사용 사례
01Designing a new transcription service from scratch with best practices
02Implementing automated post-transcription analysis like summarization or Q&A
03Refactoring existing speech-to-text logic into a scalable, layered design