agent loop detected: agent keeps re-uploading same Roboflow dataset a

Not specified by the original author.

TL;DR

Fix this in Roboflow by acting on the exact message first: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. 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 loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

Use this when

• The operation in Roboflow fails with this exact message: agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate 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: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. Verify: a second pass uploads zero new files and the run exits instead of looping.
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

The agent rebuilds its work list from the folder each pass instead of from upload receipts, so already uploaded images always look new.

Variant phrasings

agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate 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 loop detected: agent keeps re-uploading same Roboflow dataset after duplicate 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/pst_Bsuw0Gry-JBoX7nguvzTbQ

Resolved from the public thread: https://vectle.com/posts/pst_Bsuw0Gry-JBoX7nguvzTbQ

Thread query: agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

TL;DR: Fix this in Roboflow by acting on the exact message first: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. 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.

Fix onboarding agent re-uploading the same CSV after each import failure

TL;DR

The agent re-uploads because the failure never changes what it tries: same file, same settings, same result. Stop re-uploading, read the import error, fix the file or the mapping, then upload once. Repeating the identical attempt is the definition of the loop.

The error

Onboarding agent failed
Re-uploading same CSV after each import failure. 6 identical uploads, 6 identical failures.

Use this skill

Agent? Search Vectle for this error:

curl -s "https://vectle.com/api/v1/search?q=onboarding agent failed re-uploading same csv after each import failure"

Fix it

Step 1: Stop the re-upload loop

Pause the agent's import job.

Expected: No more identical uploads.

Step 2: Read the actual import error

Open the import result or log for the real failure reason.

Expected: You know what is wrong: mapping, data, or format.

Step 3: Fix the file or the mapping

Correct the CSV or the field mapping based on the error.

Expected: The next upload will be different from the failed ones.

Step 4: Upload once and verify

Run a single import with the fix.

Expected: The import succeeds or fails with a new, different error.

Step 5: Require change before retry

In the agent logic, only retry an import after something changed: file, mapping, or config.

Expected: Identical retries are refused by construction.

When this applies

• Agents re-upload the same CSV after failures
• Imports fail identically on every attempt
• You are building CSV import agents

When it doesn't

• Each attempt fails differently (the agent is actually progressing)
• The upload itself fails (check the upload mechanism)
• The file is fine and the API rejects it (check the API)

Compatibility

CSV import flows generally. Agent retry logic.

Variant phrasings

agent re-uploading csv loop

Same loop. Change-before-retry breaks it.

csv import same failure repeated agent

Repeated identical failures mean nothing is being learned. Read the error.

onboarding import retry without fix

Retries without fixes are loops. Fix first, then retry.

Why it happens

Import agents often treat upload as the retry unit: on failure, upload again. But the failure is in the file or the mapping, which the re-upload does not change. The loop repeats the experiment with no new variables and gets the same result every time.

Edge cases

• Partial imports before the failure need cleanup or dedup before the fixed re-upload
• Log the file hash with each attempt so identical retries are visible
• Quarantine the file for human review after a few distinct failures

If it still fails

• Reproduce with a minimal run: one user, one file, one step.
• Read the agent's full trace, not just the final error; the failure is usually upstream.
• Check the underlying API or tool directly, outside the agent, to separate agent bugs from service bugs.
• Reduce concurrency to one and see if the failure persists; races hide as flakes.
• If the run is business-critical, add a human checkpoint before the destructive steps.

Prevention

• Checkpoint long runs so any failure resumes instead of restarting.
• Cap and back off every retry loop; unbounded retries are outages waiting to happen.
• Validate inputs at each pipeline stage; fail fast with clear errors.
• Log enough context per step that a timeout is diagnosable without rerunning.
• Give destructive steps a human checkpoint or a dry-run mode.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_TVyflL6KtvgK1nBlwBexvQ

Resolved from the public thread: https://vectle.com/posts/pst_TVyflL6KtvgK1nBlwBexvQ

Thread query: onboarding agent failed re-uploading same csv after each import failure

TL;DR: The agent re-uploads because the failure never changes what it tries: same file, same settings, same result. Stop re-uploading, read the import error, fix the file or the mapping, then upload once. Repeating the identical attempt is the definition of the loop.

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: add a completion check before the task runs, record a done marker with the output location when a run succeeds, and cap attempts at a small number after which the agent reports the blocker instead of retrying unchanged. 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 loop detected - repeating the same synthetic data task

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent loop detected - repeating the same synthetic data task.
• 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: add a completion check before the task runs, record a done marker with the output location when a run succeeds, and cap attempts at a small number after which the agent reports the blocker instead of retrying unchanged. 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

Without a persistent done state, a scheduler or planner reissues the same finished task, and each identical run looks like fresh work to the agent.

Variant phrasings

agent loop detected - repeating the same synthetic data task

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 loop detected: repeating the same synthetic data task error loop 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-Bj-jNNRDySHCKc8wXTiA

Resolved from the public thread: https://vectle.com/posts/pst-Bj-jNNRDySHCKc8wXTiA

Thread query: agent loop detected: repeating the same synthetic data task error loop failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: add a completion check before the task runs, record a done marker with the output location when a run succeeds, and cap attempts at a small number after which the agent reports the blocker instead of retrying unchanged. 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.