agent couldn't access synthetic data API error failed to connect failure

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: verify the basics with single requests before any workflow, confirm the base address in config, confirm the credential is accepted on one read call, and only then debug workflow logic, because most connect failures are config, not code. 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 could not access synthetic data API - failed to connect

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent could not access synthetic data API - failed to connect.
• 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: verify the basics with single requests before any workflow, confirm the base address in config, confirm the credential is accepted on one read call, and only then debug workflow logic, because most connect failures are config, not code. 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

Connect failures at workflow start are usually a wrong base address, an expired credential or a blocked network path, all provable with one small request.

Variant phrasings

agent could not access synthetic data API - failed to connect

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 couldn't access synthetic data API error failed to connect 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_JjbbN9FiZOxXEl2zfNbQIg

Resolved from the public thread: https://vectle.com/posts/pst_JjbbN9FiZOxXEl2zfNbQIg

Thread query: agent couldn't access synthetic data API error failed to connect failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: verify the basics with single requests before any workflow, confirm the base address in config, confirm the credential is accepted on one read call, and only then debug workflow logic, because most connect failures are config, not code. 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

Fix this in synthetic data agent workflow by acting on the exact message first: prove connectivity with one small health request to the service before starting the job, retry a failed start with backoff, and record the endpoint and error so a network fault is not mistaken for a generation fault. 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.

connection error when agent tried to run synthetic data job

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: connection error when agent tried to run synthetic data job.
• 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: prove connectivity with one small health request to the service before starting the job, retry a failed start with backoff, and record the endpoint and error so a network fault is not mistaken for a generation fault. 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

A job start that fails on connection never reached the generator, and retrying generation settings cannot fix a network or endpoint problem.

Variant phrasings

connection error when agent tried to run synthetic data job

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 - when agent tried to run synthetic data job it failed with connection error 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_1u0IAWlTWk1bJ1YPL6UzZw

Resolved from the public thread: https://vectle.com/posts/pst_1u0IAWlTWk1bJ1YPL6UzZw

Thread query: when agent tried to run synthetic data job it failed with connection error failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: prove connectivity with one small health request to the service before starting the job, retry a failed start with backoff, and record the endpoint and error so a network fault is not mistaken for a generation fault. 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

Fix this in synthetic data agent workflow by acting on the exact message first: run the privacy checks one at a time in a fixed order, distance check, k anonymity, then inference tests, saving each result before starting the next so a late failure never erases earlier evidence. 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 failed to complete - validate synthetic data privacy

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent failed to complete - validate synthetic data privacy.
• 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: run the privacy checks one at a time in a fixed order, distance check, k anonymity, then inference tests, saving each result before starting the next so a late failure never erases earlier evidence. 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

Stacking every privacy metric into one step means the slowest or most fragile check fails the whole validation and discards the results that already completed.

Variant phrasings

agent failed to complete - validate synthetic data privacy

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 failed to complete validate synthetic data privacy error 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_xxJxttv62vosn8O9G3efeg

Resolved from the public thread: https://vectle.com/posts/pst_xxJxttv62vosn8O9G3efeg

Thread query: agent failed to complete validate synthetic data privacy error failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: run the privacy checks one at a time in a fixed order, distance check, k anonymity, then inference tests, saving each result before starting the next so a late failure never erases earlier evidence. 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.