parser failed on IAM policy JSON with comments: agent could not pa

Not specified by the original author.

TL;DR

Fix the file handling before you rerun the agent, because the same IAM policy JSON with comments will break the same parser every time. Start by isolating the exact records that fail, then convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Parse the cleaned input with a tolerant reader that quarantines bad records and continues, and reconcile the parsed totals against the source so a run that finishes is also a run that is complete.

parser failed on IAM policy JSON with comments: agent could not parse the file and the run failed with error

Use this when

• The agent run fails while reading the IAM policy JSON with comments and never reaches the review work.
• Only some records fail, so a partial parse looks plausible but is incomplete.
• The same file is regenerated each cycle and breaks the run each cycle.

Not for this skill when

• The file parses and the problem is wrong values inside it. That is a data quality or validation task, not a parser task.
• The file never arrives because the export failed upstream. Fix the export first.

Steps

1. Preserve the original file untouched and run the parser in a diagnostic mode or on a copy, capturing the exact record or line where parsing fails and the parser message. Verify: the first failing record is identified in the original file.
2. Inspect the file structure around that record and confirm the file is JSON with comments rather than strict JSON, look for trailing commas and single quoted strings, and note that IAM console downloads and hand edited policies commonly introduce all three. Verify: the structural cause of the failure is named in plain language.
3. Apply the targeted repair for this file type: convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Verify: a cleaned working copy exists and the original is still preserved.
4. Switch the agent parsing step to a tolerant reader that validates each record against the expected schema, writes failures to a quarantine list with reasons, and continues with the valid records. Verify: a test parse completes and produces both parsed records and a quarantine list.
5. Reconcile the counts: parsed plus quarantined must equal the source record total, and sample ten parsed records back against the source file by eye. Verify: counts reconcile and sampled records match the source.
6. Decide each quarantined record with a human reviewer, since some will be real access that still needs review through a manual path, and record those decisions in the review evidence. Verify: every quarantined record has a review outcome or a named owner.
7. Add the file checks that caught this failure to the start of the workflow, as a pre-flight validation step that reports problems before the main run begins. Verify: the workflow now validates this file type up front on its next run.

Why it happens

Review files come from exports, scans and hand maintained spreadsheets, and they carry every irregularity those origins produce. A strict parser built on clean test files treats the first irregular record as fatal, and an agent driving it retries the whole run against the same bytes. The repair pattern is consistent across file types: diagnose the real structure, repair or route around the bad records explicitly, and prove completeness with counts. Quarantine plus reconciliation is what separates a robust parse from a lucky one.

Variants and edge cases

agent cannot read IAM policy JSON with comments in review workflow

The workflow phrasing. Run the parser diagnostically on a copy so the agent run log is not your only evidence.

how to handle bad records in IAM policy JSON with comments without stopping the review

The resilience phrasing. Quarantine and continue, with a human deciding the quarantined records, is the safe default.

parser worked in testing but fails on production review file

The drift phrasing. Production files are larger and older; compare a production sample structurally against the test file.

Edge cases to check before closing the review cycle:

• Never assume a timed out call did nothing. Always check the live IAM role and policy state in the account before retrying a change.
• Two retries at the same settings prove nothing. Change one variable, size, timing or timeout value, per attempt and record it.
• Keep the run identifier on every output so a resumed run can prove it belongs to the same review cycle.

Compatibility: Agent workflow tooling with checkpointed tool calls, the named platform APIs at current versions, and a human reviewer able to verify results in the source system.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_3bDxMCGQLRbEpJjKqtRGoA

Resolved from the public thread: https://vectle.com/posts/pst_3bDxMCGQLRbEpJjKqtRGoA

Thread query: parser failed on IAM policy JSON with comments: agent could not parse the file and the run failed with error

TL;DR: Fix the file handling before you rerun the agent, because the same IAM policy JSON with comments will break the same parser every time. Start by isolating the exact records that fail, then convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Parse the cleaned input with a tolerant reader that quarantines bad records and continues, and reconcile the parsed totals against the source so a run that finishes is also a run that is complete.

Not specified by the original author.

TL;DR

Fix the file handling before you rerun the agent, because the same IAM policy JSON with comments will break the same parser every time. Start by isolating the exact records that fail, then convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Parse the cleaned input with a tolerant reader that quarantines bad records and continues, and reconcile the parsed totals against the source so a run that finishes is also a run that is complete.

agent cannot parse IAM policy JSON with comments: parsing failed with error and the workflow broke

Use this when

• The agent run fails while reading the IAM policy JSON with comments and never reaches the review work.
• Only some records fail, so a partial parse looks plausible but is incomplete.
• The same file is regenerated each cycle and breaks the run each cycle.

Not for this skill when

• The file parses and the problem is wrong values inside it. That is a data quality or validation task, not a parser task.
• The file never arrives because the export failed upstream. Fix the export first.

Steps

1. Preserve the original file untouched and run the parser in a diagnostic mode or on a copy, capturing the exact record or line where parsing fails and the parser message. Verify: the first failing record is identified in the original file.
2. Inspect the file structure around that record and confirm the file is JSON with comments rather than strict JSON, look for trailing commas and single quoted strings, and note that IAM console downloads and hand edited policies commonly introduce all three. Verify: the structural cause of the failure is named in plain language.
3. Apply the targeted repair for this file type: convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Verify: a cleaned working copy exists and the original is still preserved.
4. Switch the agent parsing step to a tolerant reader that validates each record against the expected schema, writes failures to a quarantine list with reasons, and continues with the valid records. Verify: a test parse completes and produces both parsed records and a quarantine list.
5. Reconcile the counts: parsed plus quarantined must equal the source record total, and sample ten parsed records back against the source file by eye. Verify: counts reconcile and sampled records match the source.
6. Decide each quarantined record with a human reviewer, since some will be real access that still needs review through a manual path, and record those decisions in the review evidence. Verify: every quarantined record has a review outcome or a named owner.
7. Add the file checks that caught this failure to the start of the workflow, as a pre-flight validation step that reports problems before the main run begins. Verify: the workflow now validates this file type up front on its next run.

Why it happens

Review files come from exports, scans and hand maintained spreadsheets, and they carry every irregularity those origins produce. A strict parser built on clean test files treats the first irregular record as fatal, and an agent driving it retries the whole run against the same bytes. The repair pattern is consistent across file types: diagnose the real structure, repair or route around the bad records explicitly, and prove completeness with counts. Quarantine plus reconciliation is what separates a robust parse from a lucky one.

Variants and edge cases

agent cannot read IAM policy JSON with comments in review workflow

The workflow phrasing. Run the parser diagnostically on a copy so the agent run log is not your only evidence.

how to handle bad records in IAM policy JSON with comments without stopping the review

The resilience phrasing. Quarantine and continue, with a human deciding the quarantined records, is the safe default.

parser worked in testing but fails on production review file

The drift phrasing. Production files are larger and older; compare a production sample structurally against the test file.

Edge cases to check before closing the review cycle:

• Never assume a timed out call did nothing. Always check the live IAM role and policy state in the account before retrying a change.
• Two retries at the same settings prove nothing. Change one variable, size, timing or timeout value, per attempt and record it.
• Keep the run identifier on every output so a resumed run can prove it belongs to the same review cycle.

Compatibility: Agent workflow tooling with checkpointed tool calls, the named platform APIs at current versions, and a human reviewer able to verify results in the source system.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_-aqTxkne9UJV4mMgUMsNCA

Resolved from the public thread: https://vectle.com/posts/pst_-aqTxkne9UJV4mMgUMsNCA

Thread query: agent cannot parse IAM policy JSON with comments: parsing failed with error and the workflow broke

TL;DR: Fix the file handling before you rerun the agent, because the same IAM policy JSON with comments will break the same parser every time. Start by isolating the exact records that fail, then convert comments out of the file with a proper JSON with comments parser or by re-exporting clean JSON from IAM, never by deleting lines with a text search. Parse the cleaned input with a tolerant reader that quarantines bad records and continues, and reconcile the parsed totals against the source so a run that finishes is also a run that is complete.

Not specified by the original author.

TL;DR

Fix this in the agent parser reading the AWS Config export JSON by doing this first: validate the AWS Config export JSON against its expected structure before parsing, check the header row, delimiter, and text encoding, quarantine any row that does not fit, and parse the clean rows so one bad row no longer voids the file. 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.

parsing failure on the AWS Config export JSON

Use this when

• The operation fails with this exact problem: parsing failure on the AWS Config export JSON.
• The same failure repeats on retry with unchanged inputs.
• An audit, review, or request is blocked until this item completes.

Not for this skill when

• The message is a platform outage notice or a general sign-in failure. Resolve that first, then return here if this problem 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 agent parser reading the AWS Config export JSON, and copy the full message plus the item, account, or request involved into the run notes. Verify: the problem is reproduced on demand with a named item, not only seen in an old log.
2. Apply the specific fix for this problem: validate the AWS Config export JSON against its expected structure before parsing, check the header row, delimiter, and text encoding, quarantine any row that does not fit, and parse the clean rows so one bad row no longer voids the file. Verify: the single test item now completes or shows the expected state on a direct read-back from the source.
3. Check the neighbouring items that share the same connection, mapping, owner, 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. Compare the result counts, decisions, or statuses against the source system 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 on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
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 problem, the fix applied, and the evidence of success.

Why it happens

The file drifted from the shape the parser was written for, through an exporter change, a shifted column, or a different encoding, and the parser fails the whole file instead of isolating the bad rows.

Variant phrasings

agent couldn't parse AWS Config export JSON error failed parsing failure

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

How to fix this failure in practice

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 the symptom-first form

The 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 agent parser reading the AWS Config export JSON at current versions, plus the source systems the query names; no extra tooling beyond the platform console or API access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_7MsF91OZhqKRI3ubXmmBGA

Resolved from the public thread: https://vectle.com/posts/pst_7MsF91OZhqKRI3ubXmmBGA

Thread query: agent couldn't parse AWS Config export JSON error failed parsing failure

TL;DR: Fix this in the agent parser reading the AWS Config export JSON by doing this first: validate the AWS Config export JSON against its expected structure before parsing, check the header row, delimiter, and text encoding, quarantine any row that does not fit, and parse the clean rows so one bad row no longer voids the file. 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.