agent hallucinating annotator productivity stats not in dashboard caused report failure error

Not specified by the original author.

TL;DR

Fix this in the annotator report by acting on the exact message first: compute every statistic from the exported task data, show the query or count behind each number in the report, and drop any figure that cannot be traced to the export. 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 annotator productivity stats not in dashboard caused report failure error

Use this when

• The operation in the annotator report fails with this exact message: agent hallucinating annotator productivity stats not in dashboard caused report failure 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 the annotator report, 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: compute every statistic from the exported task data, show the query or count behind each number in the report, and drop any figure that cannot be traced to the export. Verify: each reported number reproduces from the export with the stated filter.
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 annotator report 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 annotator report 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

Stats recalled from memory or inferred from partial views invent numbers that no export supports, and the report fails review.

Variant phrasings

agent hallucinating annotator productivity stats not in dashboard caused report failure 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 hallucinating annotator productivity stats not in dashboard caused report failure error

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

the annotator report 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 annotator report 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/pst5eM3J09oVKJxs9PVlrVQg

Resolved from the public thread: https://vectle.com/posts/pst5eM3J09oVKJxs9PVlrVQg

Thread query: agent hallucinating annotator productivity stats not in dashboard caused report failure error

TL;DR: Fix this in the annotator report by acting on the exact message first: compute every statistic from the exported task data, show the query or count behind each number in the report, and drop any figure that cannot be traced to the export. 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 clause agent workflow by acting on the exact problem first: require the agent to quote the source clause text it used for the task to export the clause report for executed agreements, reject any answer whose quoted text is not found in the clause bank, rerun the step with retrieval only, and confirm every statement in the output traces to a retrieved clause. Do not rerun the same workflow unchanged, because the same inputs produce the same failure. Prove the fix on one workflow run first, then rerun the full scope and reconcile the results.

agent hallucinating answers not in source data for export the clause report for executed agreements error hallucination failure

Use this when

• The agent workflow fails with this exact problem: agent hallucinating answers not in source data for export the clause report for executed agreements error hallucination failure.
• The same failure repeats on retry with unchanged inputs.
• A clause search, drafting, review or reporting task run by the agent is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor or the clause bank provider. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with a clause wording or negotiation position. That is a legal owner decision, not this failure.

Steps

1. Reproduce the failure on one named run of the task to export the clause report for executed agreements and record the full problem text plus the contract or clause set involved. Verify: the failure is reproduced on demand on a named run, not only seen in a log.
2. Apply the specific fix for this problem: require the agent to quote the source clause text it used for the task to export the clause report for executed agreements, reject any answer whose quoted text is not found in the clause bank, rerun the step with retrieval only, and confirm every statement in the output traces to a retrieved clause. Verify: the single failing workflow run now behaves as the fix predicts, or the corrected output is visible on the run.
3. Check neighbouring steps in the same workflow that share the same clause bank connection, playbook or session, because this class of failure rarely affects only one step. Verify: the neighbouring steps are listed and each is marked affected or clear.
4. Rerun the original task in the workflow on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the task completes and the original problem does not appear.
5. Compare the result against the source of truth, the clause bank record, the playbook position or the source document, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the workflow run log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

agent hallucinating answers not in source data for export the clause report for executed agreements error hallucination failure

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single workflow run proof, then the full rerun.

How to fix - agent hallucinating answers not in source data for export the clause report for executed agreements error hallucination failure

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

The clause agent workflow troubleshooting for this failure

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

Why it happens

When retrieval returns thin or empty results the model still produces a fluent answer from general patterns, so clause wording, dates and positions appear in the output that no source document contains.

Edge cases

• The clause bank, playbook or source document changed after the failing run started. Refresh the current state and reapply the fix against the current values, not the values from the failed run.
• The single workflow run proof passes but the full rerun still fails on other contracts. Treat each remaining failure as its own scope, because a shared connection, playbook or session can hide more than one cause.
• The source systems disagree on the correct value. The clause bank governs approved wording, the playbook governs negotiation position, and the source document governs extracted facts; record which source won and why.

Compatibility: Clause library and agent workflow tooling at current versions, plus the clause bank, playbook or document source the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_YQwd79crHzZobItRLQx37Q

Resolved from the public thread: https://vectle.com/posts/pst_YQwd79crHzZobItRLQx37Q

Thread query: agent hallucinating answers not in source data for export the clause report for executed agreements error hallucination failure

TL;DR: Fix this in the clause agent workflow by acting on the exact problem first: require the agent to quote the source clause text it used for the task to export the clause report for executed agreements, reject any answer whose quoted text is not found in the clause bank, rerun the step with retrieval only, and confirm every statement in the output traces to a retrieved clause. Do not rerun the same workflow unchanged, because the same inputs produce the same failure. Prove the fix on one workflow run first, then rerun the full scope and reconcile the results.

Not specified by the original author.

TL;DR

Fix this in the annotation platform 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 annotator IDs that do not exist caused routing failure

Use this when

• The operation in the annotation platform fails with this exact message: agent hallucinating annotator IDs that do not exist caused routing 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 annotation platform, 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. Rerun the original operation in the annotation platform 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 annotation platform 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 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 annotator IDs that do not exist caused routing fai

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 annotator IDs that do not exist caused routing fai

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

the annotation platform 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 annotation platform 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_21N996hE4AyCSEqJtc8Axg

Resolved from the public thread: https://vectle.com/posts/pst_21N996hE4AyCSEqJtc8Axg

Thread query: agent hallucinating annotator IDs that do not exist caused routing failure

TL;DR: Fix this in the annotation platform 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.