n8n-error-handling

Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the user mentions error handling, onError, continueErrorOutput, er

By czlonkowski · 1,302 installs

npx skills add czlonkowski/n8n-skills --skill n8n-error-handling

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n8n Error Handling By default, when an n8n node throws, the whole workflow halts . For an interactive run you're watching, that's fine — you see the red node and fix it. For anything unattended (a webhook API, a cron job, a queue worker, an agent tool), it's the wrong default: the caller gets a timeout or an empty 500, the operator gets no alert, and the symptom is "the integration just stopped working" with no log and no clue. This skill is about making failures loud, structured, and recoverable — and, best case, self healing so transient blips never reach a human at all. The two ideas that prevent most silent failures: Per node error outputs — a node's failure routes down a second output you control, instead of killing the run. A workflow level error workflow — a catch all that fires for anything that escapes per node handling (timeouts, crashes between nodes, unwired failures). When you actually need this Workflow shape Error handling posture Webhook / API (anything with Respond to Webhook ) Required. Every fallible node's error output wired; status code matches cause. Scheduled / cron / queue worker / agent tool (unattended) Required. A workflow level error workflow, plus retryOnFail on network nodes. Internal one off you run and watch yourself Optional. Default onError: "stopWorkflow" is fine — you'll see the red node and re run. The dividing line: if anyone other than you sees the output — a downstream system, an end user, an on call engineer — the failure has to be handled, not swallowed. If you're the only watcher and the cost of failure is "I notice and re run", looser is fine. The 1 silent trap: per node error output is a TWO step setup This is the single most common way an n8n workflow "handles" errors while actually swallowing them. Routing a node's failure to a handler takes two changes, and doing only one looks complete but misbehaves: 1. Set onError: "continueErrorOutput" on the node. This is what creates the second output. Without it, main[1] doesn't exist no matter what you wire. 2. Wire that error output ( connections.<node .main[1] , i.e. sourceIndex: 1 ) to a real handler. Without a target, the error data is emitted into the void. Get one without the other and you hit a failure mode: What you did What happens at runtime onError set, error output not wired Error data is silently discarded. Downstream doesn't fire. The dashboard shows the run as succeeded . Worst case — no error logged anywhere. Error output wired, onError not set The slot never fires; the handler is unreachable. On failure the workflow just halts (default stopWorkflow ). Both done Failure routes down main[1] to your handler. ✅ Doing both with n8n update partial workflow sourceIndex: 0 is the success path, sourceIndex: 1 is the error path. (For IF nodes the aliases branch: "true" / "false" map to index 0/1; for a generic fallible node, use the explicit sourceIndex: 1 .) Then verify. This trap doesn't surface in validate workflow — a half wired error output validates clean. Pull the workflow with n8n get workflow and confirm both halves: The node's onError is "continueErrorOutput" . connections["HTTP Request"].main[1] contains your handler. Valid onError values: Value Effect "stopWorkflow" (default) Error halts the whole workflow. "continueRegularOutput" Error item flows out the normal output. Rare, usually wrong — downstream gets error shaped data and keeps going. "continueErrorOutput" Error item flows out the separate error output ( main[1] ). The one you wire. Full failure mode catalog, fan in/fan out shapes, and verification: NODE ERROR OUTPUTS.md . Failures the error output never sees A correctly wired error output still misses whole classes of failure. Verified on n8n 2.38.5: Failure With continueErrorOutput With continueRegularOutput JS error inside {{ }} (TypeError on a missing path, JSON.parse on bad input, a thrown Error , a JMESPath syntax error) nothing fires; the field is null and items take the success path same Python Code node rejected before running (blocked import, dunder access: Security violations detected ) or bad return shape (list in each item mode) node marked failed, but the unchanged input items leave through the success output ; main[1] stays empty and the execution shows success unchanged input items pass through Exception while code runs ( raise / throw , KeyError , NameError ) routed to main[1] as { error } ✅ { error } item on the main output So an error branch alone can't guard these: Guard the data, not just the node. After a transform whose output matters, check that the field you produced exists (IF/Filter on {{ $json.total !== undefined && $json.total !== null }} ) and send the miss down the error path yourself. Test run and read node statuses and output values. The Python cases show a red node inside a green execution. The expression cases show nothing but null s. Root causes and fixes: n8n expression syntax (Debugging) and n8n code python (Errors and onError ). Self healing first: retryOnFail before you wire error paths Before you build error branches, absorb the transient failures so they never reach those branches. On any node that calls a network service — HTTP Request, comms (Gmail/Slack/Discord), databases, AI nodes, third party integrations — set node level retry: Why this comes first : a 429 or a brief upstream hiccup will retry and usually succeed on its own. The error output then fires only on real, persistent failures — so your 5xx responses and on call alerts reflect actual problems instead of noise. Engine limits to know: retry fires on any error (there's no per status code filter), maxTries caps at 5, and waitBetweenTries caps at 5000ms — so 5000 is both the max and a sensible default. See n8n node configuration (NODE FAMILY GOTCHAS.md) for node specific notes. API workflows: the canonical shape A webhook triggered workflow that responds to its caller has one rule that overrides everything else: no hanging branches . Every path — success and every error — must end at a Respond to Webhook , or the caller sits there until it times out. Three things make this work: 1. Fan in to one error responder. Many fallible nodes can route their main[1] to a single Respond node. Keeps the graph readable. 2. Validation failures (4xx) are checked upstream , not via error outputs. A missing field isn't a node crashing — it's an expected outcome with a known response. Branch on it with IF/Switch (or the per field validator below) and return 400/401/403/404 directly. Error outputs are for unexpected failures (5xx). 3. options.responseCode defaults to 200 — even on error branches. This is its own silent trap (see RESPONSE SHAPES.md and n8n node configuration NODE FAMILY GOTCHAS.md): an error branch that returns 200 with an error body looks like success to the caller's HTTP client, so their error handling never fires. Set responseCode explicitly on every Respond node. Input validation: conditions on the canvas Put the checks in one IF node: one boolean condition per rule ( is true ), combinator and . True → your logic (200); false → a 400 Respond with a static validation error body that echoes the expected schema, so the caller can self correct. When the caller needs per field messages (an LLM client, a public API), replace the IF with one Code node that loops over a schema list and returns { valid, validationError, details, requiredSchema } , with the note Why Code: IF considered — per field messages need a loop over the schema . Both patterns, the constraint cookbook and the escaping rules are in API WORKFLOWS.md . Response shapes: map cause → status code A 5xx with text/plain "Internal Server Error" is technically an error response and practically useless. And not every failure is a 5xx. Match the status code to why the request failed , because the caller branches on it: their monitoring alerts on 5xx (your fault) but not 4xx (their fault), and 5xx suggests "retry" while 4xx suggests "don't". The common mistake: wiring everything — including bad input — to one Respond that returns 500 internal error . Now the caller can't tell their bug from your outage, and your error rates can't separate real incidents from client noise. Cause Status error code Where it's handled Required field missing / wrong type 400 validation error Upstream check (IF conditions / per field validator), not error output Auth missing or invalid 401 unauthorized Upstream check Authenticated but not allowed 403 forbidden Upstream check Resource ID valid in request, absent in your data 404 not found Branch on the lookup result , not its error Conflicts with current state (duplicate, race) 409 conflict Detect with logic Caller exceeded rate limit 429 rate limit exceeded Set Retry After header Node threw, cause unknown 500 internal error Error output path Third party API returned an error 502 upstream error Error output of the HTTP node Can't process right now (downstream down) 503 service unavailable Detect specific error, hint retry Third party API timed out 504 upstream timeout Error output filtered by message So there are two distinct flows: 4xx is decided before the work (IF/Switch + dedicated Respond), 5xx comes out of error outputs ("we tried, it broke"). Route by cause with a Switch; one static Respond per status. Picking a status code from the error is a routing job. A Switch on the error message classifies it, and each output goes to a Respond with a fixed options.responseCode and a fixed body: Every status is visible on the canvas, and adding one is adding a rule. Set the Switch's options.fallbackOutput to extra , or an unmatched error is dropped and the caller hangs. A single Respond with a computed code is fine for exactly two outcomes, as one short ternary in its Response Code field. The Switch JSON is in API WORKFLOWS.md . The default envelope is { "error": "<code ", "message": "<human text " } — the HTTP status already says success vs failure, so no ok: false flag. Never leak internals (stack traces, SQL, upstream bodies, tokens) into the response — log those privately, return a sanitized message. Correlation IDs, retry after , validation details , and the full do not leak list are in RESPONSE SHAPES.md . Workflow level error workflow (the catch all) Per node outputs handle the failures you anticipated on the nodes you remembered to wire. An error workflow catches everything else: a node you forgot to wire, a crash between nodes, a whole workflow timeout, a trigger failure. For unattended workflows this is the safety net that turns "it silently stopped" into "an alert arrived". Build it as a separate workflow starting with an Error Trigger node. n8n invokes it with the failure context: Minimal version — capture → notify : A good alert includes the workflow name, a link to the editor and a link to the failed execution, the failed node name, and the real error message (not "Workflow failed"). Field expressions and the optional "fetch the failing input via the n8n node" upgrade are in ERROR WORKFLOWS.md . Two traps worth flagging up front: The recursion trap. If the error workflow notifies Slack and Slack is what's down, the error workflow fails too — and the original error vanishes. Notify on a different channel than your monitored workflows use (most workflows alert Slack → error workflow uses email), and add a fallback (write to a Data Table) so a failed notification still leaves a trace.