LLM Conversation

The following is an example showing how to use React ChatBotify to front conversations with LLMs (demonstrated using OpenAI/ChatGPT). If you wish to try out this example, you will have to obtain and provide an OpenAI API key (note that OpenAI charges for API key use). Alternatively, you may refer to the real-time stream example which uses Google Gemini that comes with free API keys.

caution

This is for testing purposes only, do not embed your API keys on your website in production. You may refer to this article for more details.

Live Editor

const MyChatBot = () => {
	let apiKey = null;
	let modelType = "gpt-3.5-turbo";
	let hasError = false;

	// example openai conversation
	// you can replace with other LLMs such as Google Gemini
	const call_openai = async (params) => {
		try {
			const openai = new OpenAI({
				apiKey: apiKey,
				dangerouslyAllowBrowser: true // required for testing on browser side, not recommended
			});

			// for streaming responses in parts (real-time), refer to real-time stream example
			const chatCompletion = await openai.chat.completions.create({
				// conversation history is not shown in this example as message length is kept to 1
				messages: [{ role: 'user', content: params.userInput }],
				model: modelType,
			});

			await params.injectMessage(chatCompletion.choices[0].message.content);
		} catch (error) {
			await params.injectMessage("Unable to load model, is your API Key valid?");
			hasError = true;
		}
	}
	const flow={
		start: {
			message: "Enter your OpenAI api key and start asking away!",
			path: "api_key",
			isSensitive: true
		},
		api_key: {
			message: (params) => {
				apiKey = params.userInput.trim();
				return "Ask me anything!";
			},
			path: "loop",
		},
		loop: {
			message: async (params) => {
				await call_openai(params);
			},
			path: () => {
				if (hasError) {
					return "start"
				}
				return "loop"
			}
		}
	}
	return (
		<ChatBot settings={{general: {embedded: true}, chatHistory: {storageKey: "example_llm_conversation"}}} flow={flow}/>
	);
};

render(<MyChatBot/>)

Result

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