Building an Open Floor Parrot Agent

In this short guide, we will build a simple parrot agent together. The parrot agent will simply repeat everything you send him and a small 🦜 emoji in front of the return. We will create the Open Floor Protocol-compliant agent with the help of the @openfloor/protocol package.

Initial Setup

First, let's set up our project by creating the project folder and installing the required packages:

mkdir parrot-agent
cd parrot-agent
npm init -y
npm install express @openfloor/protocol
npm  install -D typescript @types/node @types/express ts-node

We will also need a TypeScript configuration file, so create tsconfig.json and add the following content:

{
  "compilerOptions": {
    "target": "ES2020",
    "module": "commonjs",
    "lib": ["ES2020"],
    "outDir": "./dist",
    "rootDir": "./src",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "forceConsistentCasingInFileNames": true,
    "resolveJsonModule": true,
    "declaration": true,
    "declarationMap": true,
    "sourceMap": true
  },
  "include": ["src/**/*"],
  "exclude": ["node_modules", "dist"]
}

Now that the basic set up is done, let us start coding together!

Step 1: Building the Parrot Agent Class

Before we create our parrot agent class, let's create a new folder src where we will store all of our files.

Create a new file src/parrot-agent.ts, this will contain the main logic of our agent.

Step 1.1: Add the imports

Lets start with the import of everything we need from the @openfloor/protocol package, add them at the top of your parrot-agent.ts file:

import { 
  BotAgent, 
  ManifestOptions, 
  UtteranceEvent, 
  Envelope,
  createTextUtterance,
  isUtteranceEvent
} from '@openfloor/protocol';

Why these imports?

• BotAgent - The base class we'll extend
• ManifestOptions - To define our agent's capabilities
• UtteranceEvent - The type of event we'll handle
• Envelope - Container for Open Floor messages
• createTextUtterance - Helper to create text responses
• isUtteranceEvent - To check if an event is an utterance

Step 1.2: Start the ParrotAgent class

Now let's start creating our ParrotAgent class by extending the BotAgent:

/**
 * ParrotAgent - A simple agent that echoes back whatever it receives
 * Extends BotAgent to provide parrot functionality
 */
export class ParrotAgent extends BotAgent {
  constructor(manifest: ManifestOptions) {
    super(manifest);
  }

What we just did:

• Created a class that extends BotAgent
• Added a constructor that takes a manifest and passes it to the parent class
• The manifest will define what our agent can do

Step 1.3: Override the processEnvelope method

The processEnvelope method of the BotAgent class is the main entry point for agent message processing. So, this is where the magic happens:

  /**
   * Override the processEnvelope method to handle parrot functionality
   */
  async processEnvelope(incomingEnvelope: Envelope): Promise<Envelope> {

Now let's build the method body step by step. First, create an array to store our responses:

    const responseEvents: any[] = [];

Next, we loop through each event in the incoming envelope:

    for (const event of incomingEnvelope.events) {

We also should check if this event is meant for us. So, add this inside the loop:

      // Check if this event is addressed to us
      const addressedToMe = !event.to || 
        event.to.speakerUri === this.speakerUri || 
        event.to.serviceUrl === this.serviceUrl;

Why this check?

• !event.to - If no recipient is specified, it's for everyone.
• event.to.speakerUri === this.speakerUri - Direct message to us
• event.to.serviceUrl === this.serviceUrl - Message to our service

With this check, we know the event is really meant for us, and we can now handle the two types of events we care about:

      if (addressedToMe && isUtteranceEvent(event)) {
        const responseEvent = await this._handleParrotUtterance(event, incomingEnvelope);
        if (responseEvent) responseEvents.push(responseEvent);
      } else if (addressedToMe && event.eventType === 'getManifests') {
        // We respond to the getManifests event with the publishManifest event
        responseEvents.push({
          eventType: 'publishManifest',
          // We use the senders speakerUri as the recipient
          to: { speakerUri: incomingEnvelope.sender.speakerUri },
          parameters: {
            servicingManifests: [this.manifest.toObject()]
          }
        });
      }

What's happening here:

• If it's a text message (utterance), we'll handle it with our parrot logic
• If someone asks for our capabilities via the getManifests event, we send back our manifest

To finish the method, we can now close the loop and return an envelope as a response with all the required response events:

    }

    // Create response envelope with all response events
    return new Envelope({
      schema: { version: incomingEnvelope.schema.version },
      conversation: { id: incomingEnvelope.conversation.id },
      sender: {
        speakerUri: this.speakerUri,
        serviceUrl: this.serviceUrl
      },
      events: responseEvents
    });
  }

Step 1.4: Implement the parrot logic

You saw in the processEnvelope method that we call a yet undefined _handleParrotUtterance, this is the private method we will now implement to echo back what we got sent via the utterance event:

  /**
   * Handle utterance events by echoing them back
   */
  private async _handleParrotUtterance(
    event: UtteranceEvent, 
    incomingEnvelope: Envelope
  ): Promise<any> {
    try {

First, let's try to extract the dialog event from the utterance:

      const dialogEvent = event.parameters?.dialogEvent as { features?: any };
      if (!dialogEvent || typeof dialogEvent !== 'object' || !dialogEvent.features || typeof dialogEvent.features !== 'object') {
        return createTextUtterance({
          speakerUri: this.speakerUri,
          text: "🦜 *chirp* I didn't receive a valid dialog event!",
          to: { speakerUri: incomingEnvelope.sender.speakerUri }
        });
      }

What we're doing:

• Extracting the dialog event from the utterance parameters
• Checking if it has the structure we expect
• If not, sending a friendly error message

Now, as we know we are dealing with a valid dialog event, we can try to get the text from it:

      const textFeature = dialogEvent.features.text;
      if (!textFeature || !textFeature.tokens || textFeature.tokens.length === 0) {
        // No text to parrot, send a default response
        return createTextUtterance({
          speakerUri: this.speakerUri,
          text: "🦜 *chirp* I can only repeat text messages!",
          to: { speakerUri: incomingEnvelope.sender.speakerUri }
        });
      }

We only handle text, so as you see also here, we would return early with an createTextUtterance and a generic message if the textFeature is not how we expect it.

But now everything should be valid, and we can go for the actual parroting:

      // Combine all token values to get the full text
      const originalText = textFeature.tokens
        .map((token: any) => token.value)
        .join('');

      // Create parrot response with emoji prefix
      const parrotText = `🦜 ${originalText}`;

      return createTextUtterance({
        speakerUri: this.speakerUri,
        text: parrotText,
        to: { speakerUri: incomingEnvelope.sender.speakerUri },
        confidence: 1.0 // Parrot is very confident in repeating!
      });

The parroting logic:

• Extract text from tokens by mapping over them and joining
• Add the 🦜 emoji prefix
• Create a text utterance response
• Set confidence to 1.0 because 🦜 are confident!

Finally, we can add some error handling and close the method:

    } catch (error) {
      console.error('Error in parrot utterance handling:', error);
      // Send error response
      return createTextUtterance({
        speakerUri: this.speakerUri,
        text: "🦜 *confused chirp* Something went wrong while trying to repeat that!",
        to: { speakerUri: incomingEnvelope.sender.speakerUri }
      });
    }
  }

The only thing that is left to do is close the class with a closing brace:

}

Step 1.5: Add the factory function

After the class, add this factory function with the default configuration:

/**
 * Factory function to create a ParrotAgent with default configuration
 */
export function createParrotAgent(options: {
  speakerUri: string;
  serviceUrl: string;
  name?: string;
  organization?: string;
  description?: string;
}): ParrotAgent {
  const {
    speakerUri,
    serviceUrl,
    name = 'Parrot Agent',
    organization = 'OpenFloor Demo',
    description = 'A simple parrot agent that echoes back messages with a 🦜 emoji'
  } = options;

  const manifest: ManifestOptions = {
    identification: {
      speakerUri,
      serviceUrl,
      organization,
      conversationalName: name,
      synopsis: description
    },
    capabilities: [
      {
        keyphrases: ['echo', 'repeat', 'parrot', 'say'],
        descriptions: [
          'Echoes back any text message with a 🦜 emoji',
          'Repeats user input verbatim',
          'Simple text mirroring functionality'
        ]
      }
    ]
  };

  return new ParrotAgent(manifest);
}

What this factory does:

• Takes configuration options
• Provides some defaults
• Creates a manifest that describes our agent's capabilities
• Returns a new ParrotAgent instance

Step 2: Building the Express Server

The agent itself is done, but how to talk to it? We need to build our express server for this, so start with creating a src/server.ts file.

Step 2.1: Add imports

Add these imports at the top:

import express, { Request, Response } from 'express';
import { createParrotAgent } from './parrot-agent';
import { 
  validateAndParsePayload
} from '@openfloor/protocol';

Step 2.2: Create the Express app

const app = express();
app.use(express.json());

Step 2.3: Add CORS middleware

You might want to add a CORS configuration to allow access to your agent from different origins:

// CORS middleware for http://127.0.0.1:4000
const allowedOrigin = 'http://127.0.0.1:4000';
app.use((req, res, next) => {
  if (req.headers.origin === allowedOrigin) {
    res.header('Access-Control-Allow-Origin', allowedOrigin);
    res.header('Access-Control-Allow-Methods', 'POST, OPTIONS');
    res.header('Access-Control-Allow-Headers', 'Content-Type');
  }
  if (req.method === 'OPTIONS') {
    return res.sendStatus(200);
  }
  next();
});

Why this CORS setup?

• Only allows requests from the specific domain
• Handles preflight OPTIONS requests
• Restricts to POST methods and the Content-Type header

Step 2.4: Create the agent instance

Now we need to create our parrot by using the factory function createParrotAgent. Important is that the serviceUrl matches your server endpoint; otherwise our agent will deny the request (remember the check we added in section 1.3).

// Create the parrot agent instance
const parrotAgent = createParrotAgent({
  speakerUri: 'tag:openfloor-demo.com,2025:parrot-agent',
  serviceUrl: process.env.SERVICE_URL || 'http://localhost:8080/',
  name: 'Polly the Parrot',
  organization: 'OpenFloor Demo Corp',
  description: 'A friendly parrot that repeats everything you say!'
});

Step 2.5: Build the main endpoint step by step

Now we have the agent and the Express app, but the most important part is still missing, and that's our endpoint:

// Main Open Floor Protocol endpoint
app.post('/', async (req: Request, res: Response) => {
  try {
    console.log('Received request:', JSON.stringify(req.body, null, 2));

First, let's validate the incoming payload with the validateAndParsePayload function from the @openfloor/protocol package:

    // Validate and parse the incoming payload
    const validationResult = validateAndParsePayload(JSON.stringify(req.body));

    if (!validationResult.valid) {
      console.error('Validation errors:', validationResult.errors);
      return res.status(400).json({
        error: 'Invalid OpenFloor payload',
        details: validationResult.errors
      });
    }

Now we know the payload is valid, and we can extract the envelope:

    const payload = validationResult.payload!;
    const incomingEnvelope = payload.openFloor;

    console.log('Processing envelope from:', incomingEnvelope.sender.speakerUri);

Then let's process the envelope through our parrot agent:

    // Process the envelope through the parrot agent
    const outgoingEnvelope = await parrotAgent.processEnvelope(incomingEnvelope);

After the processing, we can create and send the response:

    // Create response payload
    const responsePayload = outgoingEnvelope.toPayload();
    const response = responsePayload.toObject();

    console.log('Sending response:', JSON.stringify(response, null, 2));

    res.json(response);

Finally, we add the catch block and close the endpoint:

  } catch (error) {
    console.error('Error processing request:', error);
    res.status(500).json({
      error: 'Internal server error',
      message: error instanceof Error ? error.message : 'Unknown error'
    });
  }
});

Step 2.6: Export the app

export default app;

Step 3: Creating the Entry Point

We end by creating a simple src/index.ts as our entry point:

import app from './server';

const PORT = process.env.PORT || 8080;

app.listen(PORT, () => {
  console.log(`Parrot Agent server running on port ${PORT}`);
});

Step 4: Final Setup

Add or overwrite these scripts in the existing scripts object in your package.json:

{
  "scripts": {
    "start": "node dist/index.js",
    "dev": "ts-node src/index.ts",
    "build": "tsc"
  }
}

Test Your Implementation

Run this to test:

npm run dev

Send your manifest or utterance requests to http://localhost:8080/ to see if it's working! You can also download the simple single HTML file manifest and utterance chat azettl/openfloor-js-chat to test your agent locally.

If you found this guide useful follow me for more and let me know what you build with it in the comments!