Autumn
  • Welcome
    • Our Links
  • Getting Started
    • Installation
    • Configure Environment Variables
    • Features
  • Autumn Framework
    • The Framework
      • Installation
      • Configuration
      • Dependencies
      • Quick Start
      • Interaction Examples
  • Deploy Agent
  • The Architecture
  • Company
    • About
    • Terms Of Service
    • Privacy Policy
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On this page
  • User Interaction Layer
  • Middleware Layer
  • Backend Service Layer
  • Data Storage Layer
  • 🔌Key Integrations
  • 🚀 Scalability & Extensibility
  • 🔒 Security
  • 🔄 Example Agent Workflow
  • 🔮 Future Enhancements

The Architecture

Autumn leverages OpenAI’s models to enable dynamic, conversational interactions between users and agents.

✨ Highlights

  • Each agent can be configured with unique behavioral logic.

  • Supports natural language understanding via GPT models.

import { Configuration, OpenAIApi } from 'openai';

const openai = new OpenAIApi(
  new Configuration({ apiKey: process.env.OPENAI_API_KEY })
);

async function askAI(question: string): Promise<string> {
  const response = await openai.createCompletion({
    model: 'text-davinci-003',
    prompt: question,
    max_tokens: 200,
  });
  return response.data.choices[0].text.trim();
}

Autumn uses Firebase as a centralized data store to manage agent metadata, logs, and real-time activity.

📌 Key Capabilities

  • Stores agent data, ownership records, and interaction logs.

  • Provides real-time syncing and lightweight auth.

import { initializeApp } from 'firebase/app';
import { getDatabase, ref, set } from 'firebase/database';

const firebaseConfig = {
  apiKey: 'your_api_key',
  authDomain: 'your_project_id',
};

const app = initializeApp(firebaseConfig);

async function storeAgentData(agentName: string, data: any): Promise<void> {
  const db = getDatabase(app);
  await set(ref(db, `agents/${agentName}`), data);
  console.log('Agent data stored successfully!');
}

User Interaction Layer

Interfaces for communicating with agents:

  • CLI: npm run interactautumn

  • API endpoints: GET/POST via tools like curl

  • Web-based UI or integrations

curl -X POST "https://api.autumn.ai/api/agent/Siri/interact" \
-H "Content-Type: application/json" \
-d '{"message": "Hello, Siri!"}'

Middleware Layer

Responsible for validation, routing, and access control.

function validateRequest(req, res, next) {
  if (!req.headers['x-api-key']) {
    return res.status(401).json({ error: 'Unauthorized access' });
  }
  next();
}

Backend Service Layer

Handles core logic, integrates AI and blockchain, and routes queries.

async function fetchTrendingTokens(): Promise<void> {
  const query = `
    query {
      Solana {
        DEXTradeByTokens(limit: { count: 5 }) {
          Trade {
            Currency { Name, MintAddress }
          }
        }
      }
    }`;

  const response = await fetch(process.env.BITQUERY_API_URL!, {
    method: 'POST',
    headers: {
      'X-API-KEY': process.env.BITQUERY_API_KEY!,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({ query }),
  });

  const data = await response.json();
  console.log(data);
}

Data Storage Layer

Autumn's hybrid architecture leverages:

  • Firebase

    • Real-time sync

    • Agent configuration and user logs

  • Solana Blockchain

    • Immutable token and transaction records

    • Verifiability and transparency


🔌Key Integrations

  • OpenAI: Natural language processing and AI response generation.

  • Bitquery: High-level blockchain analytics and market data.

  • Firebase: Cloud storage, authentication, and real-time updates.

  • Solana: Token deployment and on-chain agent interaction.


🚀 Scalability & Extensibility

  • Horizontally Scalable: Run multiple agents independently.

  • Plug-and-Play Modules: Extend Autumn with support for:

    • New blockchains (e.g., Ethereum, Polygon)

    • Alternate AI models

    • Third-party APIs and plugins


🔒 Security

  • .env-based authentication and key handling

  • Blockchain-backed data integrity

  • Firebase-protected cloud infrastructure

  • Support for secure deployment workflows


🔄 Example Agent Workflow

Autumn Interaction Flow:

  1. User Input

npm run interactautumn Siri ask "Hello!"
  1. Middleware Validation

    • Auth checks

    • API key enforcement

  2. AI Engine

    • GPT processes the prompt and generates a response.

  3. Blockchain Query (if needed)

    • Bitquery retrieves on-chain data.

  4. Response Delivery

    • Final result returned to the user via CLI or API.


🔮 Future Enhancements

  • Multi-chain Compatibility: Ethereum, Polygon, and beyond

  • Analytics Dashboard: Visualize agent activity and interactions

  • Plugin System: Support for community-built extensions and service layers

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Last updated 2 days ago