@grafana/llm v0.8.1

Frontend functions for LLM interaction

This is a collection of convenience functions and components to make interacting with LLM functionality in Grafana easier.

First, add the latest version of @grafana/llm to your dependencies in package.json:

{
  "dependencies": {
    "@grafana/llm": "0.8.0"
  }
}

Then in your components you can use the llm object from @grafana/llm like so:

import React, { useState } from 'react';
import { useAsync } from 'react-use';
import { scan } from 'rxjs/operators';

import { llms } from '@grafana/llm';
import { PluginPage } from '@grafana/runtime';

import { Button, Input, Spinner } from '@grafana/ui';

const MyComponent = (): JSX.Element => {
  const [input, setInput] = React.useState('');
  const [message, setMessage] = React.useState('');
  const [reply, setReply] = useState('');

  const { loading, error } = useAsync(async () => {
    const enabled = await llms.openai.enabled();
    if (!enabled) {
      return false;
    }
    if (message === '') {
      return;
    }
    // Stream the completions. Each element is the next stream chunk.
    const stream = llms.openai
      .streamChatCompletions({
        model: 'gpt-3.5-turbo',
        messages: [
          { role: 'system', content: 'You are a cynical assistant.' },
          { role: 'user', content: message },
        ],
      })
      .pipe(
        // Accumulate the stream chunks into a single string.
        scan((acc, delta) => acc + delta, '')
      );
    // Subscribe to the stream and update the state for each returned value.
    return stream.subscribe(setReply);
  }, [message]);

  if (error) {
    // TODO: handle errors.
    return null;
  }

  return (
    <div>
      <Input value={input} onChange={(e) => setInput(e.currentTarget.value)} placeholder="Enter a message" />
      <br />
      <Button type="submit" onClick={() => setMessage(input)}>
        Submit
      </Button>
      <br />
      <div>{loading ? <Spinner /> : reply}</div>
    </div>
  );
};