Errors and exceptions
Review Workers errors and exceptions.
Error pages generated by Workers
When a Worker running in production has an error that prevents it from returning a response, the client will receive an error page with an error code, defined as follows:
Error code | Meaning |
---|---|
1101 | Worker threw a JavaScript exception. |
1102 | Worker exceeded CPU time limit. |
1103 | The owner of this worker needs to contact Cloudflare Support |
1015 | Worker hit the burst rate limit. |
1019 | Worker hit loop limit. |
1021 | Worker has requested a host it cannot access. |
1022 | Cloudflare has failed to route the request to the Worker. |
1024 | Worker cannot make a subrequest to a Cloudflare-owned IP address. |
1027 | Worker exceeded free tier daily request limit. |
1042 | Worker tried to fetch from another Worker on the same zone, which is unsupported. |
Other 11xx
errors generally indicate a problem with the Workers runtime itself. Refer to the status page ↗ if you are experiencing an error.
Loop limit
A Worker cannot call itself or another Worker more than 16 times. In order to prevent infinite loops between Workers, the CF-EW-Via
header’s value is an integer that indicates how many invocations are left. Every time a Worker is invoked, the integer will decrement by 1. If the count reaches zero, a 1019
error is returned.
”The script will never generate a response” errors
Some requests may return a 1101 error with The script will never generate a response
in the error message. This occurs when the Workers runtime detects that all the code associated with the request has executed and no events are left in the event loop, but a Response has not been returned.
Cause 1: Unresolved Promises
This is most commonly caused by relying on a Promise that is never resolved or rejected, which is required to return a Response. To debug, look for Promises within your code or dependencies’ code that block a Response, and ensure they are resolved or rejected.
In browsers and other JavaScript runtimes, equivalent code will hang indefinitely, leading to both bugs and memory leaks. The Workers runtime throws an explicit error to help you debug.
In the example below, the Response relies on a Promise resolution that never happens. Uncommenting the resolve
callback solves the issue.
You can prevent this by enforcing the no-floating-promises
eslint rule ↗, which reports when a Promise is created and not properly handled.
Cause 2: WebSocket connections that are never closed
If a WebSocket is missing the proper code to close its server-side connection, the Workers runtime will throw a script will never generate a response
error. In the example below, the 'close'
event from the client is not properly handled by calling server.close()
, and the error is thrown. In order to avoid this, ensure that the WebSocket’s server-side connection is properly closed via an event listener or other server-side logic.
”Illegal invocation” errors
The error message TypeError: Illegal invocation: function called with incorrect this reference
can be a source of confusion.
This is typically caused by calling a function that calls this
, but the value of this
has been lost.
For example, given an obj
object with the obj.foo()
method which logic relies on this
, executing the method via obj.foo();
will make sure that this
properly references the obj
object. However, assigning the method to a variable, e.g.const func = obj.foo;
and calling such variable, e.g. func();
would result in this
being undefined
. This is because this
is lost when the method is called as a standalone function. This is standard behavior in JavaScript.
In practice, this is often seen when destructuring runtime provided Javascript objects that have functions that rely on the presence of this
, such as ctx
.
The following code will error:
Avoid destructuring or re-bind the function to the original context to avoid the error.
The following code will run properly:
Cannot perform I/O on behalf of a different request
This error occurs when you attempt to share input/output (I/O) objects (such as streams, requests, or responses) created by one invocation of your Worker in the context of a different invocation.
In Cloudflare Workers, each invocation is handled independently and has its own execution context. This design ensures optimal performance and security by isolating requests from one another. When you try to share I/O objects between different invocations, you break this isolation. Since these objects are tied to the specific request they were created in, accessing them from another request’s handler is not allowed and leads to the error.
This error is most commonly caused by attempting to cache an I/O object, like a Request in global scope, and then access it in a subsequent request. For example, if you create a Worker and run the following code in local development, and make two requests to your Worker in quick succession, you can reproduce this error:
You can fix this by instead storing only the data in global scope, rather than the I/O object itself:
If you need to share state across requests, consider using Durable Objects. If you need to cache data across requests, consider using Workers KV.
Errors on Worker upload
These errors occur when a Worker is uploaded or modified.
Error code | Meaning |
---|---|
10006 | Could not parse your Worker’s code. |
10007 | Worker or workers.dev subdomain not found. |
10015 | Account is not entitled to use Workers. |
10016 | Invalid Worker name. |
10021 | Validation Error. Refer to Validation Errors for details. |
10026 | Could not parse request body. |
10027 | Your Worker exceeded the size limit of XX MB (for more details see Worker size limits) |
10035 | Multiple attempts to modify a resource at the same time |
10037 | An account has exceeded the number of Workers allowed. |
10052 | A binding is uploaded without a name. |
10054 | A environment variable or secret exceeds the size limit. |
10055 | The number of environment variables or secrets exceeds the limit/Worker. |
10056 | Binding not found. |
10068 | The uploaded Worker has no registered event handlers. |
10069 | The uploaded Worker contains event handlers unsupported by the Workers runtime. |
Validation Errors (10021)
The 10021 error code includes all errors that occur when you attempt to deploy a Worker, and Cloudflare then attempts to load and run the top-level scope (everything that happens before your Worker’s handler is invoked). For example, if you attempt to deploy a broken Worker with invalid JavaScript that would throw a SyntaxError
— Cloudflare will not deploy your Worker.
Specific error cases include but are not limited to:
Worker exceeded the upload size limit
A Worker can be up to 10 MB in size after compression on the Workers Paid plan, and up to 1 MB on the Workers Free plan.
To reduce the upload size of a Worker, you should consider removing unnecessary dependencies and/or using Workers KV, a D1 database or R2 to store configuration files, static assets and binary data instead of attempting to bundle them within your Worker code.
Another method to reduce a Worker’s file size is to split its functionality across multiple Workers and connect them using Service bindings.
Script startup exceeded CPU time limit
This means that you are doing work in the top-level scope of your Worker that takes more than the startup time limit (400ms) of CPU time.
This is usually a sign of a bug and/or large performance problem with your code or a dependency you rely on. It’s not typical to use more than 400ms of CPU time when your app starts. The more time your Worker’s code spends parsing and executing top-level scope, the slower your Worker will be when you deploy a code change or a new isolate is created.
This error is most commonly caused by attempting to perform expernsive initialization work directly in top level (global) scope, rather than either at build time or when your Worker’s handler is invoked. For example, attempting to initialize an app by generating or consuming a large schema.
To analyze what is consuming so much CPU time, you should open Chrome DevTools for your Worker and look at the Profiling and/or Performance panels to understand where time is being spent. Is there something glaring that consumes tons of CPU time, especially the first time you make a request to your Worker?
Runtime errors
Runtime errors will occur within the runtime, do not throw up an error page, and are not visible to the end user. Runtime errors are detected by the user with logs.
Error message | Meaning |
---|---|
Network connection lost | Connection failure. Catch a fetch or binding invocation and retry it. |
Memory limit would be exceeded before EOF | Trying to read a stream or buffer that would take you over the memory limit. |
daemonDown | A temporary problem invoking the Worker. |
Identify errors: Workers Metrics
To review whether your application is experiencing any downtime or returning any errors:
- Log in to the Cloudflare dashboard ↗ and select your account.
- In Account Home, select Workers & Pages.
- In Overview, select your Worker and review your Worker’s metrics.
Debug exceptions
After you have identified your Workers application is returning exceptions, use wrangler tail
to inspect and fix the exceptions.
Exceptions will show up under the exceptions
field in the JSON returned by wrangler tail
. After you have identified the exception that is causing errors, redeploy your code with a fix, and continue tailing the logs to confirm that it is fixed.
Set up a logging service
A Worker can make HTTP requests to any HTTP service on the public Internet. You can use a service like Sentry ↗ to collect error logs from your Worker, by making an HTTP request to the service to report the error. Refer to your service’s API documentation for details on what kind of request to make.
When using an external logging strategy, remember that outstanding asynchronous tasks are canceled as soon as a Worker finishes sending its main response body to the client. To ensure that a logging subrequest completes, pass the request promise to event.waitUntil()
↗. For example:
Go to origin on error
By using event.passThroughOnException
, a Workers application will forward requests to your origin if an exception is thrown during the Worker’s execution. This allows you to add logging, tracking, or other features with Workers, without degrading your application’s functionality.
Related resources
- Log from Workers - Learn how to log your Workers.
- Logpush - Learn how to push Workers Trace Event Logs to supported destinations.
- RPC error handling - Learn how to handle errors from remote-procedure calls.