Scale Rapid task failed error instructions version mismatch with project

Not specified by the original author.

TL;DR

Fix this in Scale Rapid by acting on the exact message first: find the instructions version the tasks were created against, republish the current instructions as that version or reissue the tasks against the current version, and confirm the versions match before relaunching. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

instructions version mismatch with project

Use this when

• The operation in Scale Rapid fails with this exact message: instructions version mismatch with project.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Scale Rapid, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: find the instructions version the tasks were created against, republish the current instructions as that version or reissue the tasks against the current version, and confirm the versions match before relaunching. Verify: task creation validates and the project launches.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Scale Rapid on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Scale Rapid so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Tasks pin the instructions version they were drafted under; editing instructions creates a new version that older tasks refuse to run with.

Variant phrasings

instructions version mismatch with project

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: Scale Rapid task failed error "instructions version mismatch with project"

The how-to phrasing for the same failure in Scale Rapid. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Scale Rapid troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Scale Rapid at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_cYOm4ZXsu6MA2RqnV7Yj9A

Resolved from the public thread: https://vectle.com/posts/pst_cYOm4ZXsu6MA2RqnV7Yj9A

Thread query: Scale Rapid task failed error "instructions version mismatch with project"

TL;DR: Fix this in Scale Rapid by acting on the exact message first: find the instructions version the tasks were created against, republish the current instructions as that version or reissue the tasks against the current version, and confirm the versions match before relaunching. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in Scale by acting on the exact message first: open the flagged catalog item, fill in a working attachment URL, confirm the URL loads the file it should, and resubmit the batch. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Invalid catalog item: missing attachment URL

Use this when

• The operation in Scale fails with this exact message: Invalid catalog item: missing attachment URL.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Scale, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: open the flagged catalog item, fill in a working attachment URL, confirm the URL loads the file it should, and resubmit the batch. Verify: the catalog validation passes and the batch is accepted.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Scale on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Scale so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Catalog items must carry the attachment the task is built from; an empty URL leaves nothing for the task to display.

Variant phrasings

Invalid catalog item: missing attachment URL

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: Scale catalog failed error "Invalid catalog item: missing attachment URL"

The how-to phrasing for the same failure in Scale. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Scale troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Scale at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/psthGbSJ9jWUYSBpLpgVMLWg

Resolved from the public thread: https://vectle.com/posts/psthGbSJ9jWUYSBpLpgVMLWg

Thread query: Scale catalog failed error "Invalid catalog item: missing attachment URL"

TL;DR: Fix this in Scale by acting on the exact message first: open the flagged catalog item, fill in a working attachment URL, confirm the URL loads the file it should, and resubmit the batch. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in Roboflow by acting on the exact message first: create the version with the intended split ratios first, wait until generation reports finished, then run the split or export against that version instead of the live project. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent failed to split dataset into train and validation after Roboflow version error

Use this when

• The operation in Roboflow fails with this exact message: agent failed to split dataset into train and validation after Roboflow version error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Roboflow, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: create the version with the intended split ratios first, wait until generation reports finished, then run the split or export against that version instead of the live project. Verify: the version shows the requested split counts and the split step completes.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Roboflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Roboflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Splits live on generated versions; running split logic against the unversioned project or a still generating version fails.

Variant phrasings

agent failed to split dataset into train and validation after Roboflow version error

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent failed to split dataset into train and validation after Roboflow version error

The how-to phrasing for the same failure in Roboflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Roboflow troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Roboflow at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstihbD-YvJ5K-MJOtSuW0UQ

Resolved from the public thread: https://vectle.com/posts/pstihbD-YvJ5K-MJOtSuW0UQ

Thread query: agent failed to split dataset into train and validation after Roboflow version error

TL;DR: Fix this in Roboflow by acting on the exact message first: create the version with the intended split ratios first, wait until generation reports finished, then run the split or export against that version instead of the live project. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.