CLI: ontologies and cloud storage

Create or update ontology JSON, list compatible ontologies, and browse safe cloud metadata.

Outcome: Create or update ontology JSON, list compatible ontologies, and browse safe cloud metadata.

unitlab ontology list --data-type image --json
unitlab ontology detail ONTOLOGY_ID --json
unitlab ontology create "Road ontology" ontology.json --data-type image --json
unitlab ontology update ONTOLOGY_ID ontology.json --json

unitlab cloud list --json
unitlab cloud browse CLOUD_ID --prefix incoming/ --json

Treat ontology JSON as a versioned schema artifact and validate it in a pilot project. Cloud commands never return provider credentials; they expose safe integration and object metadata.

Operating contract

Concern	Required behavior
Execution surface	Pinned unitlab==3.0.0 command in the intended Python 3.10+ environment.
Machine contract	Use --json; human-readable output is not an automation interface.
Target resolution	Resolve stable IDs with a read command before a state-changing command.
Success evidence	Exit status, JSON result, returned IDs, and a read-after-write state check.

Failure and recovery boundary

Condition	Response
Authentication or authorization fails	Stop, correct the service identity or access model, rotate exposed credentials, and rerun a read-only check.
Validation or entitlement rejects the operation	Correct the input or entitlement; do not retry an unchanged request.
A request times out	Inspect remote state before repeating a mutation because the server may have accepted it.
Asynchronous processing exceeds its deadline	Preserve the Batch Queue or release ID, continue bounded monitoring, and inspect item-level failures.
Only part of a batch succeeds	Keep successful identifiers, isolate failed rows, and retry only the corrected subset.

Pin and test the production SDK version. Use stable IDs, keep secrets out of logs and command history, and record the correlation ID, target IDs, counts, final state, and redacted error details for material state changes.

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Continue with Unitlab: multimodal data curation