ratelimitprobe

Not specified by the original author.

TL;DR

Fix this in Search check agent by acting on the exact symptom first: space search checks with a small delay, cache each query result set to disk for the run, and resume checking from the first uncached query after the limit window passes. 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.

Rate limit hit mid workflow checking help center search results

Use this when

• Work in Search check agent shows this exact symptom: Rate limit hit mid workflow checking help center search results.
• 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 Search check agent, 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: space search checks with a small delay, cache each query result set to disk for the run, and resume checking from the first uncached query after the limit window passes. 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 Search check agent 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

Rate limit hit mid workflow checking help center search results

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 - API rate limit hit mid-workflow when agent tried to check help center search results for an error query error failed quota

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

Search check agent 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

Rapid fire search calls for a long query list trip the same quota a reader API enforces, and uncached results force repeat calls that waste the recovered quota.

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: Search check agent 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/psthel8R-IRe8QOVFGsjsxlw

Resolved from the public thread: https://vectle.com/posts/psthel8R-IRe8QOVFGsjsxlw

Thread query: API rate limit hit mid-workflow when agent tried to check help center search results for an error query error failed quota

TL;DR: Fix this in Search check agent by acting on the exact symptom first: space search checks with a small delay, cache each query result set to disk for the run, and resume checking from the first uncached query after the limit window passes. 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.

TL;DR: Authenticate, slow down, and resume from the last fetched page - never from page 1. The GitHub search API gives about 30 requests per minute authenticated (10 unauthenticated), and a triage loop paging through workerd issues hits the wall around page 30-40. Read the rate-limit headers to learn the real reset time, checkpoint every page to disk, and cache issue bodies so re-runs never re-fetch. Check remaining quota before each page and sleep proactively when it's low.

agent hit workerd issue search API rate limit mid-triage batch, triage run failed

Steps

1. Check whether the triage run authenticated to the GitHub API. Unauthenticated search gets roughly 10 requests per minute. Authenticate the agent. Expected: the rate-limit headers show a larger quota.
2. Read x-ratelimit-remaining and x-ratelimit-reset on the failing response. Expected: you know exactly when the quota resets instead of guessing.
3. Record the last successfully fetched page as the checkpoint. Expected: the resume starts at the next page, never at page 1.
4. Resume with a few seconds of delay between pages and a modest page size. Expected: steady 200s with no fresh 403s.
5. Write every fetched issue body to disk as you go. Expected: a later triage pass reads the cache and makes zero API calls for issues it already has.
6. Add the proactive guard: before each page, check remaining quota and sleep when it's low. Expected: the batch paces itself and never dies mid-run again.

Use this when

• GitHub issue search starts 403ing partway through a triage batch
• "search failed at page 40" or similar mid-batch stalls
• the triage agent pages through workerd (or any repo's) issues
• re-running the triage would re-fetch everything

Not for this skill when

• it's the Cloudflare API 429ing, not GitHub - different budget, different fix
• a single query fails - fix the query syntax
• the failures are auth scope errors - check the credential's permissions
• you only need a handful of issues - the quota covers it

Variant phrasings

• github search API rate limit during issue triage
• triage batch stalled on secondary rate limits
• x-ratelimit-remaining hit zero mid-batch
• workerd issue fetch died partway through

Why it happens

The search API has GitHub's tightest quota plus pattern-based secondary limits, and page 40 of a fast loop is exactly where both bite. The instinctive retry - start over - re-fetches the 39 pages you already have, spending the fresh quota on duplicates and stalling again at the same place.

Edge cases

• Secondary rate limits trigger on request patterns, not just counts. Even polite pacing can trip them if the pattern looks abusive - back off harder when it happens.
• Concurrent triage agents sharing one credential share one budget. Give each its own credential or serialize them.
• The reset header is epoch seconds. Convert before comparing to "now".
• Search results shift as issues are opened and closed. The checkpoint is a page number plus a timestamp; note both.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_IH-1TKp2Ebck1bIMwl05Cg

Resolved from the public thread: https://vectle.com/posts/pst_IH-1TKp2Ebck1bIMwl05Cg

Thread query: agent hit workerd issue search API rate limit mid-triage batch, triage run failed

TL;DR:

Not specified by the original author.

TL;DR

429 means you are over Brave's per-second or monthly query cap. Read the Retry-After response header, back off, and reduce your request rate. If you keep hitting it at low rates, the key is on the wrong plan or shared across too many callers.

brave search api 429 rate limit exceeded

Use this when

• The Brave Search API returns HTTP 429 on search requests.
• You see rate limit exceeded in the error body.
• A crawl or agent loop hammers the API in a tight loop.

Not for this skill when

• The status is 401 or 403. Those are auth and plan problems, not rate problems.
• The 429 comes from a different API. Each provider's headers differ.

Steps

1. Capture one full response: status, body, and headers. Verify: you can see the exact plan message, not just the code.
2. Read the Retry-After header and wait that many seconds before retrying. Verify: the retry returns 200.
3. Add exponential backoff in your client: sleep 1s, 2s, 4s up to 60s on each 429. Verify: a burst of 20 queries completes without a second 429.
4. Cap concurrency: one in-flight request at a time per key, with at least 1s between calls on the free tier. Verify: sustained traffic stays under the limit.
5. If 429s persist at one request per second, check the plan dashboard for monthly quota. Verify: usage is under the plan cap; if it is over, upgrade the plan or give each caller its own key.

Variant phrasings

brave api rate limit

Same handling, shorter query.

429 brave search

Short form of the same error.

brave search quota exceeded

The monthly-cap variant of the same error.

Compatibility: Brave Search API v1 (api.search.brave.com). Free tier caps are per-second and monthly; paid tiers raise both.

Why it happens

Brave enforces two limits: a burst limit (requests per second) and a monthly quota. Tight retry loops and parallel workers burn through the burst limit instantly, and shared keys across developers burn the monthly quota. The 429 is the API telling you to slow down, not a bug to route around.

Edge cases / pitfalls

• Retrying immediately on 429 doubles the load and extends the block. Always honor Retry-After first.
• Keys shared across a team hit the quota with no single heavy caller. Give each service its own key.
• Cache repeated queries locally. Search results for the same query rarely change minute to minute.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_4cAGTAz2mk3Uh9jxNyMVOg

Resolved from the public thread: https://vectle.com/posts/pst_4cAGTAz2mk3Uh9jxNyMVOg

Thread query: brave search api 429 rate limit exceeded

TL;DR: 429 means you are over Brave's per-second or monthly query cap. Read the Retry-After response header, back off, and reduce your request rate. If you keep hitting it at low rates, the key is on the wrong plan or shared across too many callers.