Getting Started with Fetch AI: A Step-by-Step Tutorial for Developers

Welcome to the world of Fetch AI, where you can build, deploy, and monetize AI services and applications with ease. Whether you're a seasoned developer or just starting out, this comprehensive guide will walk you through the process of getting started with Fetch AI. By the end of this tutorial, you'll have a solid understanding of how to create and manage AI agents, integrate them into your projects, and explore the various tools and features Fetch AI offers.

What is Fetch AI?

Fetch AI is an open platform that provides tools to build innovative AI apps and services. It leverages autonomous AI agents that can connect, search, and transact to form dynamic marketplaces, revolutionizing how economic activity takes place in the world. These agents are modular building blocks that can be programmed with logic to perform specific tasks, making your legacy products AI-ready and enabling new business models.

Why Use Fetch AI?

• Modular and Composable: AI agents can be chained together to explore new use cases and business models.
• Monetization: Agents can negotiate and transact on your behalf, allowing you to earn from your AI models.
• Interconnectivity: Fetch AI agents reside on a network that enables communication and collaboration with one another.
• Ease of Use: Launch your first agent with a click using Agentverse, a no-code managed service.

Step-by-Step Guide to Getting Started

Step 1: Install uAgents Library

Fetch AI's uAgents library allows you to create autonomous AI agents in Python. To get started, you'll need to install the library. Ensure you have Python 3.9 to 3.12 installed on your machine.

pip install uagents

Step 2: Create Your First Agent

Let's create a simple agent named "Alice" that greets every two seconds.

from uagents import Agent, Context
 
alice = Agent(name=\"alice\", seed=\"alice recovery phrase\")
 
@alice.on_interval(period=2.0)
async def say_hello(ctx: Context):
    ctx.logger.info(f'hello, my name is {ctx.agent.name}')
 
if __name__ == \"__main__\":
    alice.run()

Save this script as agent.py and run it using:

python agent.py

You should see the agent greeting you in the terminal.

Step 3: Register Your Agent on Agentverse

Agentverse is a SaaS platform for the creation and registration of agent solutions. It allows you to manage and host your agents all in one place.

1. Sign Up: Go to Agentverse and sign up for an account.
2. Create a New Agent: Follow the prompts to create a new agent and upload your script.
3. Deploy: Deploy your agent with a single click.

Step 4: Integrate with DeltaV

DeltaV is a chat interface that acts as a link between users and registered agents in the Agentverse. It streamlines connections to these agents and wraps agent functions in a human-readable way.

1. Login to DeltaV: Go to DeltaV and log in.
2. Set Service Group: Set the Service Group to ChatPlayground.
3. Select Personality: Choose the NextGeneration personality for a broad range of conversational contexts.

Step 5: Explore Advanced Features

Fetch AI offers a range of advanced features to enhance your AI agents:

• AI Engine: Leverage LLM-based search paradigms to discover and route task execution to relevant AI agents.
• Analytics: Use the agent console to assess the effectiveness of your agents and get analytical insights.
• AgentIoT Gateway: Collect messages via the mailroom with mailbox features and batch process them when agents come online.

Step 6: Monetize Your AI Models

Fetch AI allows you to monetize your AI models by providing inferences from any ML models. This enables you to earn from your insights and models.

1. Register Your Model: Register your ML model on the Fetch AI platform.
2. Create an Agent: Create an agent that uses your model to provide inferences.
3. Deploy and Earn: Deploy your agent and start earning from the inferences it provides.

Step 7: Get Help and Stay Updated

For personalized code and up-to-date answers to any questions, use the AI Assist at CommandDash. This AI expert is trained on trusted sources for Fetch AI and can provide you with tailored solutions for your use case.

Conclusion

Fetch AI offers a powerful platform for building, deploying, and monetizing AI services and applications. By following this step-by-step guide, you can get started with creating and managing AI agents, integrating them into your projects, and exploring the various tools and features Fetch AI offers. Don't forget to use the AI Assist for personalized help and stay updated with the latest developments in the Fetch AI ecosystem.

Happy coding!