{"id":105,"date":"2026-10-09T10:20:00","date_gmt":"2026-10-09T10:20:00","guid":{"rendered":"https:\/\/top.fadah.store\/?p=105"},"modified":"2026-10-09T10:20:00","modified_gmt":"2026-10-09T10:20:00","slug":"handling-webhook-timeouts-n8n-ai","status":"publish","type":"post","link":"https:\/\/top.fadah.store\/?p=105","title":{"rendered":"Handling Webhook Timeouts in n8n When Processing Heavy AI Workflows"},"content":{"rendered":"<p>When triggering an n8n workflow via an incoming webhook that runs an LLM chain, the HTTP request frequently timed out with a <code>504 Gateway Timeout<\/code> because the AI analysis took 20 to 45 seconds.<\/p>\n<h2>The Architectural Fix: Decoupling Response from Processing<\/h2>\n<p>Instead of making the client wait for the final AI output, I changed the Webhook node setting to <strong>Respond: Using &#8216;Respond to Webhook&#8217; Node<\/strong>.<\/p>\n<pre class=\"wp-block-code\"><code class=\"language-json\">{\n  \"parameters\": {\n    \"respondWith\": \"json\",\n    \"responseBody\": \"{\\\"status\\\": \\\"accepted\\\", \\\"message\\\": \\\"Processing queued\\\"}\"\n  },\n  \"name\": \"Immediate 200 OK\",\n  \"type\": \"n8n-nodes-base.respondToWebhook\",\n  \"typeVersion\": 1.1,\n  \"position\": [400, 200]\n}<\/code><\/pre>\n<p>The webhook returns HTTP 202 Accepted within 150 milliseconds, and the heavy AI processing continues in the background, eventually sending the result via Slack or webhook callback.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When triggering an n8n workflow via an incoming webhook that runs an LLM chain, the HTTP request frequently timed out with a 504 Gateway Timeout because the AI analysis took 20 to 45 seconds. The Architectural Fix: Decoupling Response from Processing Instead of making the client wait for the final AI output, I changed the &#8230; <a title=\"Handling Webhook Timeouts in n8n When Processing Heavy AI Workflows\" class=\"read-more\" href=\"https:\/\/top.fadah.store\/?p=105\" aria-label=\"Read more about Handling Webhook Timeouts in n8n When Processing Heavy AI Workflows\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[19,5,20,18],"class_list":["post-105","post","type-post","status-publish","format-standard","hentry","category-n8n-automations","tag-ai","tag-n8n","tag-performance","tag-webhooks"],"_links":{"self":[{"href":"https:\/\/top.fadah.store\/index.php?rest_route=\/wp\/v2\/posts\/105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/top.fadah.store\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/top.fadah.store\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/top.fadah.store\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/top.fadah.store\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=105"}],"version-history":[{"count":0,"href":"https:\/\/top.fadah.store\/index.php?rest_route=\/wp\/v2\/posts\/105\/revisions"}],"wp:attachment":[{"href":"https:\/\/top.fadah.store\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=105"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/top.fadah.store\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=105"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/top.fadah.store\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}