📄 ai-sdk/docs/ai-sdk-core/error-handling

import { generateText } from 'ai';
try {  const { text } = await generateText({    model: 'openai/gpt-4.1',    prompt: 'Write a vegetarian lasagna recipe for 4 people.',  });} catch (error) {  // handle error}

See Error Types for more information on the different types of errors that may be thrown.

Handling streaming errors (simple streams)

When errors occur during streams that do not support error chunks, the error is thrown as a regular error. You can handle these errors using the try/catch block.

import { generateText } from 'ai';
try {  const { textStream } = streamText({    model: 'openai/gpt-4.1',    prompt: 'Write a vegetarian lasagna recipe for 4 people.',  });
  for await (const textPart of textStream) {    process.stdout.write(textPart);  }} catch (error) {  // handle error}

Handling streaming errors (streaming with error support)

Full streams support error parts. You can handle those parts similar to other parts. It is recommended to also add a try-catch block for errors that happen outside of the streaming.

import { generateText } from 'ai';
try {  const { fullStream } = streamText({    model: 'openai/gpt-4.1',    prompt: 'Write a vegetarian lasagna recipe for 4 people.',  });
  for await (const part of fullStream) {    switch (part.type) {      // ... handle other part types
      case 'error': {        const error = part.error;        // handle error        break;      }
      case 'abort': {        // handle stream abort        break;      }
      case 'tool-error': {        const error = part.error;        // handle error        break;      }    }  }} catch (error) {  // handle error}

Handling stream aborts

When streams are aborted (e.g., via chat stop button), you may want to perform cleanup operations like updating stored messages in your UI. Use the onAbort callback to handle these cases.

The onAbort callback is called when a stream is aborted via AbortSignal, but onFinish is not called. This ensures you can still update your UI state appropriately.

import { streamText } from 'ai';
const { textStream } = streamText({  model: 'openai/gpt-4.1',  prompt: 'Write a vegetarian lasagna recipe for 4 people.',  onAbort: ({ steps }) => {    // Update stored messages or perform cleanup    console.log('Stream aborted after', steps.length, 'steps');  },  onFinish: ({ steps, totalUsage }) => {    // This is called on normal completion    console.log('Stream completed normally');  },});
for await (const textPart of textStream) {  process.stdout.write(textPart);}

The onAbort callback receives:

steps: An array of all completed steps before the abort

You can also handle abort events directly in the stream:

import { streamText } from 'ai';
const { fullStream } = streamText({  model: 'openai/gpt-4.1',  prompt: 'Write a vegetarian lasagna recipe for 4 people.',});
for await (const chunk of fullStream) {  switch (chunk.type) {    case 'abort': {      // Handle abort directly in stream      console.log('Stream was aborted');      break;    }    // ... handle other part types  }}

On this page

Error Handling

Handling regular errors

Handling streaming errors (simple streams)

Handling streaming errors (streaming with error support)

Handling stream aborts

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