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Version: v1.x

Custom Adapters

If you're building your own APIs and you would like to use NLUX as the UI for your own AI chatbot, you can do so by creating a custom adapter.

There are 2 types of custom adapters that you can create:

  • Streaming Adapters
  • Promise Adapters

Streaming Adapters

Streaming adapters are used when the API sends responses in a stream (e.g. WebSockets, or Server-Sent Events).

The advantage of using a streaming adapter is that the chat UI will be updated in real-time while the LLM is still generating text. This is particularly useful if the API takes a long time to process a request and sends responses in a stream. Most major LLM APIs (e.g. OpenAI, Anthropic) support streaming responses.

In order to implement a custom streaming adapter for NLUX, you need to implement the following interface:

interface Adapter {
streamText: (
message: string,
observer: StreamingAdapterObserver,
extras: AdapterExtras,
) => void;
}

The streamText method takes 2 parameters:

  • message - The prompt message typed by the user, to be sent to the API.
  • observer - An observer that will receive the responses from the API and pass them to NLUX.
  • extras - An object containing additional information that the adapter might need.

Below is the definition of the StreamingAdapterObserver interface:

interface StreamingAdapterObserver {
next: (partialResponse: string) => void;
error: (error: Error) => void;
complete: () => void;
}

You can call the next method of the observer as responses are received from the API. The complete method should be called when the API has finished sending responses, and The error method should be called if an error occurs.

tip

You can check the Create Custom Adapters guide for an example of how to implement a custom streaming adapter.

Promise Adapters

Promise adapters can be used when the API sends responses in a single request (e.g. REST APIs).
The advantage of using a promise adapter is that it's easier to implement.

In order to implement a custom promise adapter for NLUX, you need to implement the following interface:

interface Adapter {
fetchText(message: string, extras: AdapterExtras): Promise<string>;
}

The fetchText method takes 1 parameter:

  • message - The prompt message typed by the user, to be sent to the API.
  • extras - An object containing additional information that the adapter might need.

The fetchText method should return a promise that resolves to the response from the API.

tip

You can check the Create Custom Adapters guide for an example of how to implement a custom promise adapter.

Adapter Extras

The AdapterExtras object passed as last parameter to the fetchText and streamText methods contains information that the adapter might need. It has the following properties. It has the following properties:

interface AdapterExtras {
// The props that were passed to the AiChat component
aiChatProps: AiChatProps;

// The conversation history
// Available when `conversationOptions.historyPayloadSize`
// is set to a value greater than 0 or to `'max'`
conversationHistory?: Readonly<ConversationItem[]>;
}