agent retried a 422 validation error 50 times against enrichment API

Not specified by the original author.

TL;DR

Fix this in Enrichment agent by acting on the exact message first: only clear the enriched flag after a confirmed successful sync, store a per lead attempt count with a cap of three, and send leads that hit the cap to a review queue instead of looping. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

Agent loop detected, re enriching the same leads after a sync failure reset the enriched flag

Use this when

• The operation in Enrichment agent fails with this exact message: Agent loop detected, re enriching the same leads after a sync failure reset the enriched flag.
• The same failure repeats on retry with unchanged inputs.
• A run, import, export or alert is blocked until this item completes.

Not for this skill when

• The message is a permission or platform outage notice. 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 Enrichment agent, and copy the full message plus the record, account or list involved into the run notes. Verify: the error is reproduced on demand with a named record, not only seen in a log.
2. Apply the specific fix for this error: only clear the enriched flag after a confirmed successful sync, store a per lead attempt count with a cap of three, and send leads that hit the cap to a review queue instead of looping. Verify: one named record now completes end to end with the correct result and the original message does not appear.
3. Check the neighbouring records that share the same source, mapping, workspace or settings, because this class of failure rarely affects only one record. Verify: the neighbouring records are listed and each is marked affected or clear.
4. Compare the result counts, fields or alerts against the source in Enrichment agent 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 Enrichment agent 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 record 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 failure path reset the flag that marks work done, so every retry selected the same leads again and the agent never moved past them.

Variant phrasings

Agent loop detected, re enriching the same leads after a sync failure reset the enriched flag

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

How to fix this failure in Enrichment agent

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

Troubleshooting this failure in Enrichment agent

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: Enrichment agent 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_iwxQHg3tG6mEMSy8d-PZTA

Resolved from the public thread: https://vectle.com/posts/pst_iwxQHg3tG6mEMSy8d-PZTA

Thread query: agent loop detected re-enriching same leads after sync failure reset enriched flag

TL;DR: Fix this in Enrichment agent by acting on the exact message first: only clear the enriched flag after a confirmed successful sync, store a per lead attempt count with a cap of three, and send leads that hit the cap to a review queue instead of looping. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Retry only 429, 5xx, and network timeouts. A 422 (or any 4xx except 429) means the request itself is wrong, and sending it 50 more times will fail 50 more times. On a 422, log the full response body, fix the payload, and only then try again. The retry policy needs an error-class check, not just a counter.

agent retried a 422 validation error 50 times against enrichment API

Use this when

• a 4xx error gets retried in a loop
• the same payload fails identically dozens of times
• retry logs show no change between attempts

Not for this skill when

• the API is down with 5xx (retry with backoff, different concern)
• you are designing the API's validation rules
• the payload is correct and the API is misbehaving (escalate)

Steps

1. Classify the status code before retrying: retryable is 429, 500, 502, 503, 504, and timeouts. Verify: a test 422 returns not retryable from the classifier.
2. On 422, log the status, the request payload, and the full response body. Verify: the log contains the API's actual validation message.
3. Fix the payload based on the validation message (missing field, wrong type, bad format) and send exactly one corrected attempt. Verify: the corrected payload differs from the failed one.
4. If the corrected attempt still 422s, stop and surface it to a human instead of looping. Verify: total attempts stay under 5.
5. Add a circuit breaker: 10 consecutive failures of any kind pause the job. Verify: the job halts instead of burning quota.

Tool/version compatibility

Any HTTP client. The pattern works for enrichment APIs, CRMs, and any REST service returning standard status codes.

Why it happens

The agent's retry logic keys off request failed without reading the status code. A blanket retry policy treats a malformed request the same as a flaky server.

Edge cases / pitfalls

• Some APIs return 400 for rate limiting instead of 429; check the response body for rate-limit hints before giving up.
• A 422 can also mean stale data (record changed upstream); re-fetch the input before assuming your code is wrong.
• Never put 4xx retries on a fast loop; even misconfigured, they should back off.

Variant phrasings

Agent hammered an API with the same bad request

Short version: retried 422 fifty times.

Validation errors triggered endless retries

Short version: no error-class check in retry logic.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_-fv46qs-EcsF8-cQ-e2TJw

Resolved from the public thread: https://vectle.com/posts/pst_-fv46qs-EcsF8-cQ-e2TJw

Thread query: agent retried a 422 validation error 50 times against enrichment API

TL;DR: Retry only 429, 5xx, and network timeouts. A 422 (or any 4xx except 429) means the request itself is wrong, and sending it 50 more times will fail 50 more times. On a 422, log the full response body, fix the payload, and only then try again. The retry policy needs an error-class check, not just a counter.

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.