defaults to 30 seconds max 240

Not specified by the original author.

TL;DR

When you build Workato API recipes, keep the synchronous response path under the job timeout: 30 seconds default, 240 max. Push long-running work asynchronous: acknowledge the request immediately and continue processing in a separate recipe.

Steps

1. When you build Workato API recipes, keep the synchronous response path under the job timeout: 30 seconds default, 240 max. Push long-running work asynchronous: acknowledge the request immediately and continue processing in a separate recipe. And when debugging, remember the tracer payload truncates at 1 MB, so large request records wont show in full.

When to use

You are seeing this: When you build Workato API recipes, keep the synchronous response path under the job timeout: 30 seconds default, 240 max. Use this skill when you run into "Workato API recipes: the job timeout defaults to 30 seconds, max 240".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

No specific versions are mentioned in the source material, so treat the fix as generally applicable and check the examples against whatever you have installed.

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

Source: Official docs (Platform quotas): documents that API platform recipe jobs time out after 30 seconds by default, configurable up to a maximum of 240 seconds. Related quotas that bite API recipes: a 5 MB maximum payload and tracer payloads truncated at 1 MB.

Verified resolution: When you build Workato API recipes, keep the synchronous response path under the job timeout: 30 seconds default, 240 max. Push long-running work asynchronous: acknowledge the request immediately and continue processing in a separate recipe. And when debugging, remember the tracer payload truncates at 1 MB, so large request records wont show in full.

Source URL: https://docs.workato.com/limits.html

Not specified by the original author.

TL;DR

Nimble is slow by default because the default search depth is deep. For quick lookups use --search-depth lite - it returns titles and URLs at 1 credit per call - and save deep for when you need full content.

Nimble is slow by default because the default search depth is deep. For quick lookups use --search-depth lite - it returns titles and URLs at 1 credit per call - and save deep for when you need full content. Keep max-results small (5 to 10) and skip --render unless the page is actually dynamic, since rendering adds 3 to 5 seconds per call. When you do need rendering on a bot-guarded page, pair render true with the vx10 stealth driver - that is what the Nimble cookbook uses to get past detection on dynamic React apps. And remember search_depth fast exists but is Enterprise-only; if your code requests it on a lower plan, expect a failure, not a speedup.

Context: Nimble's own error-handling reference (slow responses): the default search depth is deep and is the slowest - add --search-depth lite or fast for speed. Too many results slows things too, so start with max-results 5 to 10. Rendering JS with --render adds 3 to 5 seconds, so only use it when the content is actually dynamic. Related cookbook material (nimbleway/cookbook hotel-rate-intelligence): search_depth lite returns titles plus URLs only at 1 credit per call, and the extract API needs render true with the vx10 stealth driver to get past bot detection on dynamic pages like Booking.com.

Matched source

Source: Source: https://github.com/nimbleway/agent-skills/blob/HEAD/skills/nimble-web-expert/references/error-handling.md Original query: "Nimble slow by default - switch search depth to lite, limit max-results, and render only dynamic pages" Key terms: default, depth, dynamic, limit, lite, nimble, only, pages, render, results, search, slow

When to use

• You hit this exact issue.
• The symptom matches: Nimble slow by default - switch search depth to lite, limit max-results, and render only dynamic pages.

When NOT to use

• A different error or symptom; the cause here is specific to this one.

Compatibility

Per the linked source.

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Source

https://github.com/nimbleway/agent-skills/blob/HEAD/skills/nimble-web-expert/references/error-handling.md

Source: Nimble's own error-handling reference (slow responses): the default search depth is deep and is the slowest - add --search-depth lite or fast for speed. Too many results slows things too, so start with max-results 5 to 10. Rendering JS with --render adds 3 to 5 seconds, so only use it when the content is actually dynamic. Related cookbook material (nimbleway/cookbook hotel-rate-intelligence): search_depth lite returns titles plus URLs only at 1 credit per call, and the extract API needs render true with the vx10 stealth driver to get past bot detection on dynamic pages like Booking.com.

Verified resolution: Nimble is slow by default because the default search depth is deep. For quick lookups use --search-depth lite - it returns titles and URLs at 1 credit per call - and save deep for when you need full content. Keep max-results small (5 to 10) and skip --render unless the page is actually dynamic, since rendering adds 3 to 5 seconds per call. When you do need rendering on a bot-guarded page, pair render true with the vx10 stealth driver - that is what the Nimble cookbook uses to get past detection on dynamic React apps. And remember search_depth fast exists but is Enterprise-only; if your code requests it on a lower plan, expect a failure, not a speedup.

Source URL: https://github.com/nimbleway/agent-skills/blob/HEAD/skills/nimble-web-expert/references/error-handling.md

Not specified by the original author.

TL;DR

In the meantime, design for 10 results per call: paginate with the start parameter for deeper pages, and prefer better queries over more pages. Dont build a long-term dependency on this API without a migration plan.

Fix

1. In the meantime, design for 10 results per call: paginate with the start parameter for deeper pages, and prefer better queries over more pages. Expected: You get the expected result; the problem is gone.

When to use

• You are setting up or using this Google Custom Search feature.
• The symptom matches: 10 results per query max, and the API is sunsetting.

When NOT to use

• Unrelated Google Custom Search issues (different feature, different failure).
• You need general documentation for the tool; check the official docs instead.

Compatibility

Reported against Google Custom Search.

Variant phrasings

10 results per query max, and the API is sunsetting

Why it happens

Web: a search-API comparison guide documents two strategic facts about the Custom Search JSON API. One, each query returns at most 10 results, so deep result sets require paginating with the start index, and relevance tuning matters more than result count. Two, Google is sunsetting the API: no new customers, with retirement dated January 2027, and no replacement announced, with Google pointing teams toward Vertex AI Search instead. Source: https://github.com/lodekeeper/dotfiles/blob/HEAD/research/web-search-skill/search-engine-apis.md

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Web: a search-API comparison guide documents two strategic facts about the Custom Search JSON API. One, each query returns at most 10 results, so deep result sets require paginating with the start index, and relevance tuning matters more than result count. Two, Google is sunsetting the API: no new customers, with retirement dated January 2027, and no replacement announced, with Google pointing teams toward Vertex AI Search instead. Source: https://github.com/lodekeeper/dotfiles/blob/HEAD/research/web-search-skill/search-engine-apis.md Resolved: dont build a long-term dependency on this API without a migration plan. If you integrate today, abstract the search provider behind your own interface so you can swap in an alternative, like Brave, Tavily, or Vertex AI Search, when the January 2027 retirement lands. In the meantime, design for 10 results per call: paginate with the start parameter for deeper pages, and prefer better queries over more pages. And keep the two credential pieces straight: the API key from the Cloud Console plus the cx search engine ID, both are required on every request to GET customsearch v1. Source: https://github.com/lodekeeper/dotfiles/blob/HEAD/research/web-search-skill/search-engine-apis.md