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In a Node.js app built with Express, check whether the selected provider and model support the user’s specific video request before showing it as an available option. Evaluate the operation, input media, output settings, and account access; keep that decision separate from submitting a generation job, and check again when the user submits.
What a capability check should decide
“Video generation supported” is too broad to be a useful yes-or-no flag. A model may support one generation mode but not another, or accept a request only with particular input types, settings, or permissions. Google Cloud’s video-generation documentation describes model-specific request parameters and synchronous and asynchronous patterns; xAI documents model-specific restrictions and distinct error categories. Check the current documentation and account access for the provider you actually use: Google Cloud video generation and xAI video generation.
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Pass normalized request facts into a capability decision, then return a small, stable result that your Express route can translate into a UI response. Keep provider-specific messages out of the UI contract.
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- Available: the known constraints allow this request.
- Unsupported input: the uploaded or referenced media is not an accepted type or does not meet requirements.
- Unsupported mode or setting: the selected model cannot perform the requested operation or honor a requested property.
- Permission unavailable: the account or workspace lacks the required access.
- Temporarily unavailable: a transient provider or service condition prevents a reliable decision.
Useful inputs include the requested generation mode, normalized input types, provider and model, relevant duration or resolution, output format or destination, and the account or workspace access context. The same domain decision can be reused by a web route, queue consumer, or administrative workflow rather than being tied to how often a page loads.
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Keep checking separate from generating
A check should decide whether an option can be offered; it should not start generation, enqueue a job, or consume generation capacity. That separation avoids turning page refreshes or repeated UI requests into paid or resource-intensive work. Once the user explicitly chooses an available operation, submit it through a separate action.
A capability decision is not a promise of a successful or high-quality result. It cannot guarantee the provider’s later moderation outcome, queue time, creative quality, or job completion. Provider access and supported features can also change, so repeat validation at submission time and handle provider responses even when the earlier check passed.
Validate inputs and output requirements
Check uploaded media as untrusted input
Do not treat a filename extension or a browser-declared media type as proof of what a file contains. Validate and decode uploads with the application’s media-processing stack, apply practical size and dimension limits for your provider and threat model, and reject or explain unsupported inputs before offering dependent operations. OWASP’s guidance covers the security risks and controls involved in file uploads. There is no universal size or dimension limit that applies to every provider and workflow.
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Make the output contract explicit
Represent required output properties in the request decision. For example, if a workflow requires transparency, the selected output format must support it; otherwise the UI should not imply that the requirement will be met. MDN explains how image formats differ in properties such as transparency: image file types and format characteristics. When processing a user asset, retaining the original separately from a generated derivative gives the application a path to rollback or reprocess it.
Map provider errors to useful outcomes
Different failures call for different user guidance. xAI documents invalid_argument, permission_denied, and failed_precondition as distinct error types. Map provider errors into your application’s bounded decision vocabulary rather than exposing raw messages as a lasting UI contract. An invalid input may call for a corrected upload; a permission failure may require an account or workspace change; an unsupported model or setting may require choosing a different option. Check the provider’s current video-generation error and capability documentation when implementing that mapping.
Handle generation as a job lifecycle
Providers may return a completed result immediately or accept work that finishes asynchronously. For an asynchronous flow, retain the job identifier and status, show a recoverable pending state, and provide a way to resume checking or report failure without losing the original request. Google Cloud documents both synchronous and asynchronous video-generation patterns. Treat idempotent submission and deterministic storage keys as design choices to validate against your provider and storage behavior, not as guarantees supplied by every API.
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Choose when to process based on how the asset is used
Generating derivatives during upload and generating them on demand trade readiness against unnecessary work and first-use delay. Neither approach is universally better; choose using observed demand and the cost of waiting or processing.
| Approach | Benefit | Trade-off |
|---|---|---|
| Process after upload | Commonly needed outputs may be ready sooner. | Work is spent on assets whose derivatives may never be used. |
| Process on demand | A derivative is generated only when requested. | The first request may have added latency and needs pending and failure handling. |
If users can choose different specifications, retain enough request detail to produce the appropriate output instead of assuming one derivative will serve every use.
Test decisions and monitor outcomes
Cover the decision cases
Use contract tests for a supported request, malformed or unsupported input, an unsupported model or setting, missing permission, and temporary provider unavailability. Review generated media quality separately: a provider accepting a request does not show that its result meets your product’s standards.
Track state without turning metrics into customer records
Useful operational measurements may include capability decisions by stable reason, accepted jobs, completions, failures, queue age, and retries. Avoid using raw errors, filenames, or asset identifiers as metric labels because they can expose unnecessary information and create high-cardinality data. Use access-controlled logs or traces when individual request correlation is needed. OpenTelemetry defines a framework for metrics, while the specific instruments and dimensions remain application design choices: OpenTelemetry metrics specification.
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