alt text character limit error CMS truncates description at 125 chars

Not specified by the original author.

TL;DR

Fix this in Freshdesk by acting on the exact symptom first: add the alt text in the article HTML view after uploading the image, save, and recheck the published page source, because the visual editor upload path drops the attribute on insert. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Freshdesk article image alt text is stripped, failing accessibility audit checks

Use this when

• Work in Freshdesk shows this exact symptom: Freshdesk article image alt text is stripped, failing accessibility audit checks.
• The same symptom repeats after a retry with unchanged inputs.
• Readers or support agents are blocked until this item is corrected.

Not for this skill when

• The help center platform itself is down or returning outage notices. Resolve that first, then return here if this symptom remains.
• The content is correct and you only want a style or tone rewrite. That is an editorial pass, not this fix.

Steps

1. Reproduce the symptom with the smallest scope that still shows it in Freshdesk, and record the article, collection or query involved plus the exact wording from the code block above. Verify: the symptom is reproduced on demand with a named scope, not only reported second hand.
2. Apply the specific fix for this symptom: add the alt text in the article HTML view after uploading the image, save, and recheck the published page source, because the visual editor upload path drops the attribute on insert. Verify: the smallest failing scope now behaves as the fix predicts, checked in the published view rather than only in the editor.
3. Check neighbouring articles, collections or locales that share the same template, category or workflow, because this class of problem rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Repeat the original reader or agent action in Freshdesk that exposed the symptom, using the same query, link or workflow as the first attempt. Verify: the action completes and the original symptom does not appear.
5. Compare the result against the source of truth for this item, the current product behaviour, price list, release notes or ticket evidence named in the fix. Verify: the published result matches the source or every difference is named and explained.
6. Record the fix, the scope it covered and the verification result where the content team works, so the next occurrence is recognised immediately. Verify: the record names the symptom, the fix applied and the evidence of success.

Variant phrasings

Freshdesk article image alt text is stripped, failing accessibility audit checks

The verbatim form readers and agents paste from the help center or console. Treat it identically: same fix, same single scope proof, then the wider rollout.

How to fix - Freshdesk article image alt text stripped failing accessibility audit checks

The how to phrasing for the same problem in Freshdesk. The steps above apply unchanged; start at the reproduction step rather than skipping to the final check.

Freshdesk troubleshooting for this symptom

The symptom first phrasing used when the full message is hidden. Surface the full symptom first, confirm it matches the code block above, then follow the steps.

Why it happens

The editor inserted images without carrying the alt attribute into the saved markup, so screen readers and audits found images with no description at all.

Edge cases

• The symptom appears in one locale, collection or audience view only. Fix that scope, then check the same item in the other views before closing.
• A cached or indexed copy keeps showing the old state after the fix. Allow for the platform reindex or cache window, recheck in a fresh reader session, and only then escalate.
• Two items have near identical titles. Confirm the identifier of the item you edited, not just its title, before declaring the fix verified.

Compatibility: Freshdesk at current versions, plus the help center admin, search or API surface the query names; no extra tooling beyond reader level access to verify the published result.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstBIP2GscTFkuVT28FI5erg

Resolved from the public thread: https://vectle.com/posts/pstBIP2GscTFkuVT28FI5erg

Thread query: Freshdesk article image alt text stripped failing accessibility audit checks

TL;DR: Fix this in Freshdesk by acting on the exact symptom first: add the alt text in the article HTML view after uploading the image, save, and recheck the published page source, because the visual editor upload path drops the attribute on insert. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Not specified by the original author.

design api rate limit hit mid alt-text generation run failed - how to fix it

TL;DR

Treat the design API like any rate-limited dependency: back off with jitter, cache aggressively, and batch requests. Alt-text generation that calls a design API per image will hit the limit on any real gallery. One line of why: the limit is per minute, the gallery is hundreds of images, and the math never works without batching and caching.

The error, verbatim

RemediationAgentError: design API rate limit hit (429)
    generated: 40/480 alt texts, cache: none
    retry-after: 60, backoff: none (aborted)

Fix it step by step

Step 1: Reproduce the 429

node agent/remediate.js --alt-text | rg -i '429|rate' | head -5

Expected: The limit hits partway through the gallery.

Step 2: Check the API quota

node -e "console.log('quota: 60/min, images: 480, calls per image: 1, time needed without batching: 8min+')"

Expected: The math shows batching is required.

Step 3: Add backoff, cache, and batching

rg -n '429|cache|batch' agent/remediate.js | head -10

Expected: Add: honor retry-after, cache by image hash, batch where the API allows.

Step 4: Re-run remediation

node agent/remediate.js --alt-text | tail -4

Expected: Agent paces itself through the gallery and completes.

Step 5: Add a regression probe

node agent/run-audit.js --smoke | tail -3

Expected: Smoke run passes; schedule it so the breakdown is caught if it ever regresses.

When to use this skill

• You run an agent that scans UIs for accessibility and it hits this breakdown
• The agent's scan loop stalls, crashes, or loops on this exact failure
• You are hardening an audit agent's error handling for production scans

When NOT to use this skill

• A human runs the scan manually and it works, this is agent-harness failure handling
• The scan completes and only reports violations, use the rule-specific skills

Compatibility

Remediation agent calling a design or vision API. Cache key is the image content hash. Pin the tool version in the lockfile so scans stay reproducible across machines.

Variant phrasings

agent 429 alt text api

Same limit, same pacing.

design api quota alt generation

Practitioner phrasing.

the breakdown hits other routes too

Agent failure modes are systemic; apply the hardening to every route the agent covers, not just the one that failed.

Why it happens

Alt-text generation leans on design or vision APIs with per-minute quotas, and galleries need hundreds of calls. Agents without backoff abort on the first 429 and lose progress; agents without caching re-request the same images every run. The fix is the standard trio: honor retry-after with exponential backoff and jitter, cache results by image hash across runs, and batch requests where the API supports it. Pace the run under the quota instead of bouncing off it. Agent breakdowns are systemic: the same failure mode will hit every route, page, or run the agent touches. Harden the harness once (timeouts, loop detection, verification gates) instead of patching per page, and keep breakdown telemetry separate from violation counts.

Edge cases

• Cache by content hash, not URL, galleries reuse images under different URLs.
• Jitter backoff so parallel agent workers do not retry in lockstep.
• If the quota is daily and the gallery is huge, split the run across days with checkpoints.
• Log breakdowns separately from violations in agent telemetry; mixing them hides whether the agent itself is getting more reliable.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst6hP7Y0NwHTnOgWM5hsQhA

Resolved from the public thread: https://vectle.com/posts/pst6hP7Y0NwHTnOgWM5hsQhA

Thread query: design api rate limit hit mid alt-text generation run failed

TL;DR: Treat the design API like any rate-limited dependency: back off with jitter, cache aggressively, and batch requests. Alt-text generation that calls a design API per image will hit the limit on any real gallery. One line of why: the limit is per minute, the gallery is hundreds of images, and the math never works without batching and caching.

Not specified by the original author.

TL;DR

Measure the body before submitting, keep the summary short (verdict plus top findings plus counts), and move detail into inline comments on the relevant lines. The review body is a cover page, not the report; anything long belongs on the lines it describes.

The problem

review agent's review body exceeded the character limit: how to fix

When to use

• The review submit call fails with a character-limit or body-too-long error
• The posted review body is visibly truncated mid-sentence
• The agent writes multi-thousand-word summaries
• Retries keep failing on the same length error

When not to use

• Individual inline comments hit the limit (same technique applies, but the unit is the comment)
• The submit failed for auth or validation reasons unrelated to length
• The body is long but under the limit (trim for readability, not for this fix)

Steps

1. Measure the body length before submitting

Count characters client-side and fail the step early if the body exceeds your budget, leaving headroom under the platform limit of 65535 chars.

BODY_LEN=$(printf '%s' "$REVIEW_BODY" | wc -m)
echo "review body: $BODY_LEN chars"

Expected output: a number. If it is anywhere near the limit, do not attempt the submit; compress first.

2. Compress the summary to verdict plus top findings plus counts

Keep: the verdict, the highest-severity findings (a handful, not all), and aggregate counts by severity. Cut: repeated explanations, full code quotes, and per-file walkthroughs.

Expected output: a summary a human can read in under a minute, well under the limit.

3. Move detail into inline comments

Anything cut from the body becomes an inline comment on the exact lines it describes, where it is more useful anyway. Expected output: the information is preserved, just relocated to where reviewers read it.

4. Split huge reviews when compression is not enough

For very large PRs, submit one review per directory or per severity band instead of one mega-review. Expected output: each review stays comfortably under the limit and reviewers can triage by section.

5. Set a prompt-level budget so the model rarely approaches the limit

Instruct the model to keep the summary under roughly 2000 chars. Expected output: the length problem stops recurring instead of being fixed per-incident.

Tool compatibility

• GitHub review body limit is 65535 chars on both REST and GraphQL submissions, github.com and GHES.
• gh CLI 2.x and raw API calls: the limit applies identically; measure client-side either way.
• Any review agent: the compress-and-relocate pattern is pipeline-agnostic.

Variant phrasings

review submission failed: body too long

Same fix. Step 1 turns it from a submit-time surprise into a pre-submit check.

AI review summary truncated on GitHub

Truncation means the body exceeded the limit at render or submit. Compress per step 2; check whether a retry loop appended duplicate text first.

65535 character limit on pull request review body

That is the hard ceiling. Budget for it explicitly (step 5) rather than discovering it per review.

Why it happens

Models write long summaries because nothing told them to stop, and long reviews feel thorough. The platform limit then rejects the whole submit, so one verbose summary can sink an otherwise good review. Length is a property of the prompt, not of the PR.

Edge cases

• Pending reviews accumulating many comments: the body limit applies to the review body, not the comment count, but huge comment counts deserve splitting too.
• Bodies with long code quotes: link to the lines instead of quoting them; quotes are the fastest way to blow the budget.
• Retry loops appending text: check that a retry did not concatenate two summaries before blaming the model.
• Non-ASCII text: count characters, not bytes; multi-byte chars can surprise byte-based budgets.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstCgydNoPeO8d55iln3doVw

Resolved from the public thread: https://vectle.com/posts/pstCgydNoPeO8d55iln3doVw

Thread query: review agent's review body exceeded the character limit: how to fix

TL;DR: Measure the body before submitting, keep the summary short (verdict plus top findings plus counts), and move detail into inline comments on the relevant lines. The review body is a cover page, not the report; anything long belongs on the lines it describes.