agent hallucinating anomaly cause error fabricated deployment that never happen

Not specified by the original author.

TL;DR

Fix this in the anomaly detector by acting on the exact message first: constrain the agent to ids and values returned by the source API in this run, reject any label, reviewer or cause not in that returned set, and log the rejection. 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 hallucinating anomaly cause error fabricated deployment that never happened failure

Use this when

• The operation in the anomaly detector fails with this exact message: agent hallucinating anomaly cause error fabricated deployment that never happened failure.
• 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 the anomaly detector, 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: constrain the agent to ids and values returned by the source API in this run, reject any label, reviewer or cause not in that returned set, and log the rejection. Verify: rerun the step and confirm every emitted id exists in the source response.
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. Compare the result counts, decisions or alerts against the source in the anomaly detector so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in the anomaly detector 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.
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

When the source call fails or returns little, a model fills the gap with plausible values; grounding output in the returned payload removes the gap it fills.

Variant phrasings

agent hallucinating anomaly cause error fabricated deployment that nev

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 hallucinating anomaly cause error fabricated deployment that nev

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

the anomaly detector 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: the anomaly detector 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/pstDIAJLtPoyMSujaRh4XnjA

Resolved from the public thread: https://vectle.com/posts/pstDIAJLtPoyMSujaRh4XnjA

Thread query: agent hallucinating anomaly cause error fabricated deployment that never happened failure

TL;DR: Fix this in the anomaly detector by acting on the exact message first: constrain the agent to ids and values returned by the source API in this run, reject any label, reviewer or cause not in that returned set, and log the rejection. 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 the anomaly investigation by acting on the exact message first: name a deploy as the cause only when the metric move starts inside its window and the affected service matches, otherwise report the correlation as unproven and list what evidence would settle it. 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 hallucinating root cause from correlated but unrelated deploy error investigation failed

Use this when

• The operation in the anomaly investigation fails with this exact message: agent hallucinating root cause from correlated but unrelated deploy error investigation failed.
• 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 the anomaly investigation, 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: name a deploy as the cause only when the metric move starts inside its window and the affected service matches, otherwise report the correlation as unproven and list what evidence would settle it. Verify: sampled investigations cite metric evidence for every claimed cause.
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 the anomaly investigation 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 the anomaly investigation 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

A nearby deploy is the easiest story to tell; without a window and service match the explanation is a guess dressed as a finding.

Variant phrasings

agent hallucinating root cause from correlated but unrelated deploy error investigation failed

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 hallucinating root cause from correlated but unrelated deploy error investigation failed

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

the anomaly investigation 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: the anomaly investigation 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_LrJ4-WhrHrILnxPG9RoKLQ

Resolved from the public thread: https://vectle.com/posts/pst_LrJ4-WhrHrILnxPG9RoKLQ

Thread query: agent hallucinating root cause from correlated but unrelated deploy error investigation failed

TL;DR: Fix this in the anomaly investigation by acting on the exact message first: name a deploy as the cause only when the metric move starts inside its window and the affected service matches, otherwise report the correlation as unproven and list what evidence would settle it. 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 synthetic data agent workflow by acting on the exact message first: ground every reported value in a tool result, require the agent to cite the output file and row identifiers for any record it describes, and verify a spot sample of its claims against the file before accepting the report. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.

agent hallucinating synthetic data values - fabricated records

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent hallucinating synthetic data values - fabricated records.
• The same failure repeats on retry with unchanged inputs.
• Generation, validation or export is blocked until this item completes.

Not for this skill when

• The message is an 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 quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in synthetic data agent workflow, and copy the full message plus the table, column or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: ground every reported value in a tool result, require the agent to cite the output file and row identifiers for any record it describes, and verify a spot sample of its claims against the file before accepting the report. Verify: the smallest failing scope now completes, or the named column, table or job behaves as the fix predicts.
3. Check the neighbouring tables, columns or jobs that share the same config, schema 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 synthetic data agent workflow 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, distributions or status against the source in synthetic data agent workflow 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

When an agent reports generation results without re reading the output, it can invent plausible records that no run produced, and only file level verification catches it.

Variant phrasings

agent hallucinating synthetic data values - fabricated records

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

How to fix - agent hallucinating synthetic data values error fabricated records that do not exist failure

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

synthetic data agent workflow 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: synthetic data agent workflow at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_dKDSVv94Ns1yKZJTqDdBRQ

Resolved from the public thread: https://vectle.com/posts/pst_dKDSVv94Ns1yKZJTqDdBRQ

Thread query: agent hallucinating synthetic data values error fabricated records that do not exist failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: ground every reported value in a tool result, require the agent to cite the output file and row identifiers for any record it describes, and verify a spot sample of its claims against the file before accepting the report. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.