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@proteus-ai/sdk

v0.0.9

Published

This ProteusAI SDK aims to help the development of integrations with ProteusAI that use JavaScript, providing an easy interface to communicate with ProteusAI services.

Downloads

51

Readme

@proteus-ai/sdk

This ProteusAI SDK aims to help the development of integrations with ProteusAI that use JavaScript, providing an easy interface to communicate with ProteusAI services.

Installation

To install the ProteusAI SDK, use npm or yarn:

npm install @proteus-ai/sdk

or

yarn add @proteus-ai/sdk

Usage

Importing the SDK

First, import the ProteusAI SDK into your project:

import ProteusAI from '@proteus-ai/sdk';

Initializing the SDK

Create an instance of the ProteusAI class by providing your API key and optional configuration options:

const proteus = new ProteusAI({
  apiKey: '' // get from your proteus AI account dashboard
});

Connecting to the Service

You can register a callback to be invoked when the connection is successful:

proteus.connected(() => {
  // You can be sure that the connection was successful inside this function.
  // Run events or emitters that need a guarantee or rely on a successful connection.
  console.log('Connected to ProteusAI');
});

Checking Connection Status

You can check if the service is connected or connecting:

if (proteus.isConnected) {
  console.log('ProteusAI is connected');
}

if (proteus.isConnecting) {
  console.log('ProteusAI is connecting');
}

Disconnecting from the Service

To disconnect from the ProteusAI service:

proteus.disconnect();
console.log('Disconnected from ProteusAI');

Conversation API

The conversation API allows you start a conversation and to get an existing conversation created by the SKD with its ID.

Create Conversation

You can create a conversation by calling the proteus.conversations.create({ characterId })

  const newConversation = await proteus.conversations.create({ characterId: 'characterId' });
  console.log('conversation id', newConversation.id);

You can also pass in a String representing the character ID.

  const newConversation = await proteus.conversations.create('characterId');
  console.log('conversation id', newConversation.id);

First, you'll need to get the ID of the trained character you'd like to start a conversation with. This can be done on the ProteusAI app. Click on a character and then click the blue info icon next to the character's name.

character id

Get Conversation

  const conversation = await proteus.conversations.getById('conversationId');
  console.log(conversation);

Messaging API

The MessagesAPI allows you to handle messaging-related operations on the messages instance proteus.messages.

Sending Messages

To send a message, use the send method on the messages instance proteus.messages:

const messagePayload = {
  conversationId: "conversation123",
  content: "Hello, ProteusAI!",
  type: "TEXT",
}

proteus.messages.send(messagePayload);

The send method is also available in the Conversation object you get from proteus.conversations. In this case there is no need to include a conversationId in the payload of the send method.

const conversation = await proteus.conversations.getById('conversation123');
conversation.send({
  content: "Hello, ProteusAI!",
  type: "TEXT",
})

The response from the send method is not the AI character's reply to the message sent. The response is the same message sent, but with a few more fields, including the ProteusAI id of the message.

const messagePayload = {
  conversationId: "conversation123",
  content: "Hello, ProteusAI!",
  type: "TEXT",
}

const messageResponse =  await proteus.messages.send(messagePayload);
console.log(`ProteusAI ID for this message is ${messageResponse.id}`);
console.log(`${messageResponse.conversationId} === ${messagePayload.conversationId}`);
console.log(`${messageResponse.content} === ${messagePayload.content}`);

Listening for Messages

To get AI responses to your messages you have to listen for the CHARACTER_MESSAGE_SENT events.

proteus.messages.on('CHARACTER_MESSAGE_SENT', (message: any) => {
  console.log(`The message with ID ${message.id} was sent by an AI character`);
});

const messagePayload = {
  conversationId: "conversation123",
  content: "Hello, ProteusAI!",
  type: "TEXT",
}
proteus.messages.send(messagePayload);

To get all messages sent, listen for the MESSAGE_SENT event.

proteus.messages.on('MESSAGE_SENT', (message: any) => {
  console.log(`The message with ID ${message.id} is either the original message sent or a response to the original message`);
});

const messagePayload = {
  conversationId: "conversation123",
  content: "Hello, ProteusAI!",
  type: "TEXT",
}
proteus.messages.send(messagePayload);

You can listen for messages sent to a specific conversation by using the Conversation object.

const conversation = await proteus.conversations.getById('conversation123');

conversation.on('CHARACTER_MESSAGE_SENT', (message: any) => {
  console.log(`The message with ID ${message.id} was sent by an AI character`);
  console.log(`${message.conversationId} === ${conversation.id} === conversation123`);
});

conversation.send({
  content: "Hello, ProteusAI!",
  type: "TEXT",
})

To get all messages sent to a specific conversation, use the Conversation object to listen for the MESSAGE_SENT event.

const conversation = await proteus.conversations.getById('conversation123');

conversation.on('MESSAGE_SENT', (message: any) => {
  console.log(`The message with ID ${message.id} was sent in this conversation`);
  console.log(`${message.conversationId} === ${conversation.id} === conversation123`);
});

conversation.send({
  content: "Hello, ProteusAI!",
  type: "TEXT",
})

NOTE: Ensure that the connection to ProteusAI is fully established before attempting to send a message. To guarantee this, you can call the send method inside the proteus.connected callback:

const messagePayload = {
  conversationId: "conversation123",
  type: "TEXT",
  content: "Hello, ProteusAI!"
}

// Send is called only when a connection is fully established
proteus.connected(() => {
  proteus.messages.send(messagePayload);
})

NOTE: You can only get or send messages to conversations that has been created within the SDK.

Message Streaming

Messages from AI characters that are of type TEXT get streamed from the server to clients. This means the server does not need to wait for the character to construct the entire message before sending it to clients; it continuously streams the message in packets until the entire message has been constructed. This improves user experience as users no longer have to wait a long time just to be hit by the entire message at once.

To know if a message is still being streamed, see if the isStreaming field is true.

To see the content generated in the current packet, see the contentDelta field.

import ProteusAI from '@proteus-ai/sdk';
const proteus = new ProteusAI({ apiKey: '66563d92e59961d11fc67a39' });
const conversation = await proteus.conversations.create({
    characterId: '659a21168ad10b77542a3587'
});
conversation.on('CHARACTER_MESSAGE_SENT', (message) => {
  if (message.isStreaming) {
    console.log('This message is still being streamed');
    console.log(`This portion of the message generated in the current packet is: ${message.contentDelta}`);
    console.log(`This message generated thus far is: ${message.content}`);
  } else {
    console.log('This message has now been fully constructed');
    console.log(`This complete message is: ${message.content}`);
  }
});

To get an AI character's response without streaming, set streamReply to false in the request payload

const messagePayload = {
  conversationId: "conversation123",
  content: "Hello, ProteusAI!",
  type: "TEXT",
}

// To send a message without streaming set 'streamReply' to false in the payload
proteus.messages.send({
  ...messagePayload,
  streamReply: false
});

Error Handling

If an error occurs during a non-streaming message send, it will be logged to the console and then thrown.

Development

Building the SDK

To build the SDK, run:

npm run build

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions or feedback, please reach out to [email protected].