2.0 KiB
2.0 KiB
Samples Validation
Validated against:
- https://github.com/zoom/scribe-quickstart/
- official docs pages under
docs/ai-services/ - AI Services OpenAPI inventory at
api-hub/ai-services/methods/endpoints.json - Zoom blog context:
introducing-zoom-ai-servicesvoice-insights-modernize-customer-support-with-scribe
What the official quickstart confirms
- Node/Express proxy architecture is a valid implementation model.
- Fast mode can be proxied as multipart upload handling on your server even though the docs show JSON examples.
- Batch mode commonly injects AWS credentials into request payloads.
- Webhook verification uses
x-zm-signature+x-zm-request-timestampwith HMAC-SHA256 andsha256=prefix. - The quickstart uses
ZOOM_API_KEY/ZOOM_API_SECRETnaming.
Useful implementation details from the sample
multermemory storage is enough for a small fast-mode demo.- Batch helper routes are naturally expressed as:
POST /batch/jobsGET /batch/jobsGET /batch/jobs/:jobIdGET /batch/jobs/:jobId/filesDELETE /batch/jobs/:jobId
- It is practical to keep one
generateJWT()helper and inject the bearer token per request.
Caveats from the sample
- It assumes Node
>=24, which is stricter than many deployment environments actually need. Verify your runtime before copying that constraint unchanged. - It uses environment-injected AWS credentials. Production pipelines may prefer pre-signed URLs or short-lived STS credentials only.
- The sample is an app demo, not a complete production reference for job retry policy, durable queues, or transcript storage.
What the blog posts add
- They reinforce the highest-value downstream use cases:
- post-call summaries
- ticket enrichment
- compliance/audit logging
- searchable archives
- customer-support QA workflows
- They are useful for scenario framing, but not as authoritative API surface documentation.
- Keep endpoint and request-shape decisions anchored to the AI Services docs and API Hub inventory, not the blog wording.