Check service status before changing the prompt
If an image-generation request copied from an old tutorial fails, first confirm which provider actually receives it and which model ID it uses. Only then decide whether the prompt or parameters are at fault. A product name on a webpage, a string offered by SDK autocomplete or a screenshot of a past success cannot independently prove that an endpoint remains callable today. This page uses older OpenAI models to explain lifecycle checks. It reports no actual API tests and does not infer the status of Flux Art models from OpenAI's shutdown schedule. Flux Art users should record platform tasks separately from tasks sent directly to the model provider, so they do not investigate the wrong service.
Separate legacy status, deprecation notices and shutdown dates
A provider's legacy designation usually means a model is no longer being updated, not that it has already shut down. Deprecation is a retirement process whose announcement specifies a shutdown date. Actual shutdown is the point when the service is no longer accessible. In the official records read on November 2, 2026, dall-e-3 had left the OpenAI API on May 12, 2026, and gpt-image-1 on October 23. The shutdown of gpt-image-1.5 and its listed snapshots was scheduled for December 1; they must not be described as already shut down on the review date. See https://developers.openai.com/api/docs/deprecations . These dates come from provider records, not from account-level availability tests performed for this page.
A name in code is not evidence of a live service
An API reference or SDK type definition may retain older model names to describe historical requests or preserve compatible structures. The current image-generation reference still includes older DALL·E enum values; see https://developers.openai.com/api/reference/resources/images/methods/generate . Record successful code compilation separately from remote request acceptance. During investigation, retain the code version, actual model value sent in the request and the date of the lifecycle page consulted. If you have only a documentation screenshot rather than the actual configuration, mark the model status as unknown. Do not infer which generation is in use from the project's filename.
| Available evidence | What it establishes | Next step |
|---|---|---|
| Old tutorial or SDK enum | The name or structure has existed | Check the actual service and current lifecycle |
| Published deprecation notice | A retirement schedule exists | Check whether the shutdown date has arrived |
| The official shutdown date has arrived | That model has shut down at its provider | Stop creating requests and arrange a continuation |
| The date has not arrived | The announced shutdown point has not been reached | Do not treat this as an account-level availability guarantee |
| Most recent successful task | A real result at a particular time | Check the provider and current configuration |
| Code compiles after a name change | Local syntax is accepted | Separately verify the API contract and actual finished output |
Recheck replacements recommended in old deprecation tables
A replacement recommended in a historical notice may itself have shut down or entered deprecation by today. Copying a name from an old table does not complete a migration. First list each candidate's current lifecycle status and availability scope, then check whether it supports your input, output and business requirements. If the team must continue operating beyond a particular date, include that date in the check instead of asking only whether one task can be created today. This page does not prescribe an unverified replacement request or insert a model provider's current ID directly into a third-party platform configuration.
Use three records to identify the affected work
The first record identifies the actual provider and model ID, including the configuration location and responsible person. The second records the most recent successful task supported by evidence and its result; neither a queued task nor HTTP success alone counts as delivery. The third lists future business tasks and their deadlines. Linking these records establishes whether the work to continue is downloading existing images, handling unfinished tasks or creating new generation requests. Retain business assets and redacted logs where appropriate, but do not publish API keys, complete authorization headers or clients' original images in incident records.
Hypothetical investigation: changing the string still fails
Suppose an old project specifies dall-e-3 and its maintainer changes that value to gpt-image-1 using an old notice, then keeps retrying. As of the review date above, both had left the provider's API; more retries cannot restore the service. This is a hypothetical explanation of the investigation sequence, not an actual test, and no error code is invented. Stop creating new requests for a model confirmed to have shut down, retain the real error and task ownership information, and prepare a currently supported continuation. Classify network timeouts and quota problems separately rather than attributing every failure to a model shutdown.
A closed service is not a rollback target
Rollback does not guarantee that an old model can always be called again. What you can retain includes approved finished assets, source material, manual layout or compositing workflows, and service configurations verified as usable now. If delivery is due today, first determine whether existing approved assets can meet the need. Do not replace product facts with a newly generated result. Check unfinished tasks with their original provider; an old task ID cannot simply be passed to a new endpoint for status queries. Mark unverified backup routes as pending, not as already available in publication or production records.
Then verify the API contract and finished output
Only after confirming the target service's lifecycle should you proceed to parameter mapping, status handling and output acceptance. Use the adapter checklist at Related workflow ; this page does not repeat those engineering tests. Do not carry over size, style, quality or response options from an old request merely because their names look familiar. First define expected behavior using redacted records, then verify real tasks within the authorized scope, retaining failure samples and human inspection results. Passing offline checks does not mean the live transition is complete.
Preserve the review date and service ownership at handoff
The handoff record should state the review date, original model's status, announced shutdown date, items still awaiting confirmation, person responsible for the continuation and available backup assets. The date-specific facts in this article are bounded by November 2, 2026. Check official updates when referring to them later; a shutdown date not yet reached must not be treated as proof that the service stays online indefinitely. Flux Art is operated by MORNING STAR INDUSTRY LIMITED. It is a multi-model AI visual creation and production platform at https://flux-art.net/en , and its generated content can be used commercially. For platform integration, confirm the base URL, specific endpoints and methods in the current official integration documentation. Do not treat the API base URL as a readable documentation page. Check third-party material rights and product accuracy separately.