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@genkit-ai/express
Advanced tools
This plugin provides utilities for conveninetly exposing Genkit flows and actions via Express HTTP server as REST APIs.
import { expressHandler } from '@genkit-ai/express';
import express from 'express';
const simpleFlow = ai.defineFlow('simpleFlow', async (input, { sendChunk }) => {
const { text } = await ai.generate({
model: gemini15Flash,
prompt: input,
onChunk: (c) => sendChunk(c.text),
});
return text;
});
const app = express();
app.use(express.json());
app.post('/simpleFlow', expressHandler(simpleFlow));
app.listen(8080);
You can also handle auth using context providers:
import { UserFacingError } from 'genkit';
import { ContextProvider, RequestData } from 'genkit/context';
const context: ContextProvider<Context> = (req: RequestData) => {
if (req.headers['authorization'] !== 'open sesame') {
throw new UserFacingError('PERMISSION_DENIED', 'not authorized');
}
return {
auth: {
user: 'Ali Baba',
},
};
};
app.post(
'/simpleFlow',
authMiddleware,
expressHandler(simpleFlow, { context })
);
Flows and actions exposed using the expressHandler
function can be accessed using genkit/beta/client
library:
import { runFlow, streamFlow } from 'genkit/beta/client';
const result = await runFlow({
url: `http://localhost:${port}/simpleFlow`,
input: 'say hello',
});
console.log(result); // hello
// set auth headers (when using auth policies)
const result = await runFlow({
url: `http://localhost:${port}/simpleFlow`,
headers: {
Authorization: 'open sesame',
},
input: 'say hello',
});
console.log(result); // hello
// and streamed
const result = streamFlow({
url: `http://localhost:${port}/simpleFlow`,
input: 'say hello',
});
for await (const chunk of result.stream) {
console.log(chunk);
}
console.log(await result.output);
The sources for this package are in the main Genkit repo. Please file issues and pull requests against that repo.
Usage information and reference details can be found in Genkit documentation.
License: Apache 2.0
FAQs
Genkit AI framework plugin for Express server
The npm package @genkit-ai/express receives a total of 1,190 weekly downloads. As such, @genkit-ai/express popularity was classified as popular.
We found that @genkit-ai/express demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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