agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error

Not specified by the original author.

TL;DR

Deduplicate the insert batch on its primary keys and skip or update keys already present before retrying, with a stop after one failed attempt until the batch changes, because the agent retries the identical batch whose duplicate primary keys caused the first rejection, so every retry fails identically. Start with the Hopsworks insert batch and the primary keys already in the feature group, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error

Use this when

• You see this exact message or symptom: agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the Hopsworks insert batch and the primary keys already in the feature group, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect duplicate keys inside the batch itself, keys already stored, and the agent retry count for the unchanged batch. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Deduplicate the insert batch on its primary keys and skip or update keys already present before retrying, with a stop after one failed attempt until the batch changes, because the agent retries the identical batch whose duplicate primary keys caused the first rejection, so every retry fails identically. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: Hopsworks feature group inserts, agent retry loops on data errors.

Why it happens

Insert semantics reject duplicates rather than upserting them. A retry loop around a deterministic data error cannot succeed; only changing the batch changes the outcome.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstfGybh-TZNkBO_wQJDZEjQ

Resolved from the public thread: https://vectle.com/posts/pstfGybh-TZNkBO_wQJDZEjQ

Thread query: agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error

TL;DR: Deduplicate the insert batch on its primary keys and skip or update keys already present before retrying, with a stop after one failed attempt until the batch changes, because the agent retries the identical batch whose duplicate primary keys caused the first rejection, so every retry fails identically. Start with the Hopsworks insert batch and the primary keys already in the feature group, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: insert exponential backoff between retries, honour the retry delay the API returns, and stop after a fixed retry budget with the last error recorded, because immediate retries against a failing or rate limited service only deepen the failure. 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 - retrying failed request without backoff

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent loop detected - retrying failed request without backoff.
• 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: insert exponential backoff between retries, honour the retry delay the API returns, and stop after a fixed retry budget with the last error recorded, because immediate retries against a failing or rate limited service only deepen the failure. 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

Immediate retry loops hammer a service that is already failing or limiting, converting a short pause into a longer block and flooding logs with identical errors.

Variant phrasings

agent loop detected - retrying failed request without backoff

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: retrying failed synthetic data request without backoff error

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/pst9T7Tp8FsMZi1R4oen69vw

Resolved from the public thread: https://vectle.com/posts/pst9T7Tp8FsMZi1R4oen69vw

Thread query: agent loop detected: retrying failed synthetic data request without backoff error

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: insert exponential backoff between retries, honour the retry delay the API returns, and stop after a fixed retry budget with the last error recorded, because immediate retries against a failing or rate limited service only deepen the failure. 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.

Not specified by the original author.

TL;DR

Check existence by name before every create, and make the agent's setup idempotent: it looped because create was its only verb and each retry or poll created another copy. List experiments at startup, reuse the one that matches, and if creation is ever repeated, detect duplicates by name and converge on the oldest as canonical.

agent loop detected: agent created the same experiment repeatedly and failed to check existence error

Use this when

• The run or call fails with this symptom: agent loop detected: agent created the same experiment repeatedly and failed to check existence.
• You are working on an agent that ensures an experiment exists before logging runs and the failure repeats on the same run or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A design that legitimately creates one experiment per dataset version, where the fix is a naming scheme that makes the intent explicit rather than existence checks.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. List the experiments the agent created and group them by name to size the duplication. Verify: the duplicate set is counted
2. Insert a get-by-name check before creation in the agent's setup path and use the returned experiment when present. Verify: setup becomes read-first
3. Converge the duplicates: move runs to the canonical experiment and archive the copies. Verify: one experiment per name remains
4. Run the agent's setup twice and confirm the second run creates nothing. Verify: idempotence is proven by repetition

Variant phrasings

agent created same experiment repeatedly loop existence check

The verbatim phrasing.

agent loop duplicate experiments idempotent setup fix

The idempotence phrasing.

tracking server full of duplicate experiments agent created

The pile-up phrasing.

Compatibility: Agent loops creating experiments on tracking servers

Why it happens

Create-without-check is the default shape of generated setup code, and any loop or retry around it mints duplicates at machine speed. Tracking servers allow same-named or suffixed creations readily, so the pile grows until a human notices the experiment list.

Edge cases / pitfalls

• Near-duplicate names with timestamps or suffixes are the same bug in a trench coat; group by normalised name.
• Cleanup needs care: runs may be spread across the copies, so converge runs before deleting any copy.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstOvgRFbpfO2sEP5q2Q_kKw

Resolved from the public thread: https://vectle.com/posts/pstOvgRFbpfO2sEP5q2Q_kKw

Thread query: agent loop detected: agent created the same experiment repeatedly and failed to check existence error

TL;DR: Check existence by name before every create, and make the agent's setup idempotent: it looped because create was its only verb and each retry or poll created another copy. List experiments at startup, reuse the one that matches, and if creation is ever repeated, detect duplicates by name and converge on the oldest as canonical.