Hono

You can use the AI SDK in a Hono server to generate and stream text and objects to the client.

Examples

The examples start a simple HTTP server that listens on port 8080. You can e.g. test it using curl:

curl -X POST http://localhost:8080

The examples use the OpenAI gpt-4o model. Ensure that the OpenAI API key is set in the OPENAI_API_KEY environment variable.

Full example: github.com/vercel/ai/examples/hono

Data Stream

You can use the toDataStream method to get a data stream from the result and then pipe it to the response.

index.ts
import { openai } from '@ai-sdk/openai';
import { serve } from '@hono/node-server';
import { streamText } from 'ai';
import { Hono } from 'hono';
import { stream } from 'hono/streaming';
const app = new Hono();
app.post('/', async c => {
const result = streamText({
model: openai('gpt-4o'),
prompt: 'Invent a new holiday and describe its traditions.',
});
// Mark the response as a v1 data stream:
c.header('X-Vercel-AI-Data-Stream', 'v1');
c.header('Content-Type', 'text/plain; charset=utf-8');
return stream(c, stream => stream.pipe(result.toDataStream()));
});
serve({ fetch: app.fetch, port: 8080 });

Sending Custom Data

createDataStream can be used to send custom data to the client.

index.ts
import { openai } from '@ai-sdk/openai';
import { serve } from '@hono/node-server';
import { createDataStream, streamText } from 'ai';
import { Hono } from 'hono';
import { stream } from 'hono/streaming';
const app = new Hono();
app.post('/stream-data', async c => {
// immediately start streaming the response
const dataStream = createDataStream({
execute: async dataStreamWriter => {
dataStreamWriter.writeData('initialized call');
const result = streamText({
model: openai('gpt-4o'),
prompt: 'Invent a new holiday and describe its traditions.',
});
result.mergeIntoDataStream(dataStreamWriter);
},
onError: error => {
// Error messages are masked by default for security reasons.
// If you want to expose the error message to the client, you can do so here:
return error instanceof Error ? error.message : String(error);
},
});
// Mark the response as a v1 data stream:
c.header('X-Vercel-AI-Data-Stream', 'v1');
c.header('Content-Type', 'text/plain; charset=utf-8');
return stream(c, stream =>
stream.pipe(dataStream.pipeThrough(new TextEncoderStream())),
);
});
serve({ fetch: app.fetch, port: 8080 });

Text Stream

You can use the textStream property to get a text stream from the result and then pipe it to the response.

index.ts
import { openai } from '@ai-sdk/openai';
import { serve } from '@hono/node-server';
import { streamText } from 'ai';
import { Hono } from 'hono';
import { stream } from 'hono/streaming';
const app = new Hono();
app.post('/', async c => {
const result = streamText({
model: openai('gpt-4o'),
prompt: 'Invent a new holiday and describe its traditions.',
});
c.header('Content-Type', 'text/plain; charset=utf-8');
return stream(c, stream => stream.pipe(result.textStream));
});
serve({ fetch: app.fetch, port: 8080 });