Run Agents on Agentverse

Introduction

You can create, host and run any type of agent you want to create within the Agentverse . There are multiple ways you can do so. You can decide to either create your agent directly on the Agentverse platform using its functionalities and allowed imports, or you can create your agents locally and then enrol them within the Agentverse by using an Endpoint or a Mailbox to make them retrievable by any other agent registered on the Fetch Network.

Let's get started!

Supporting documentation

Create Agents hosted on the Agentverse

It is possible to create agents directly on the Agentverse using the My Agents tab.

Create and run an agent on Agentverse

Let's create a simple agent introducing itself and printing its address every 3 seconds using the tools provided within the Agentverse platform. Sign in to Agentverse (opens in a new tab) and select the My Agents tab. Here, select an option to create an agent by clicking on the + New Agent button and select Blank Agent. Copy the code below and paste it into the Agent Editor window that appears after you enter the Agent Name:

simple_agent.py
@agent.on_interval(period=3.0)
async def say_hello(ctx: Context):
    ctx.logger.info(f"Hello, I'm an agent and my address is {agent.address}.")
 
if __name__ == "__main__":
    agent.run()

Once you are happy with the code, click on Start button to start your agent and see the output within the in-built terminal. You should see something similar to:


2024-07-10 13:48:54	Info	Agent	[INFO]: Hello, I'm an agent and my address is agent1qv7qyzyjw4kse7x4p7nv2m2qfxur2r4m03m4x2h4qssyl4k3stz72gas84s.
2024-07-10 13:48:57	Info	Agent	[INFO]: Hello, I'm an agent and my address is agent1qv7qyzyjw4kse7x4p7nv2m2qfxur2r4m03m4x2h4qssyl4k3stz72gas84s.
2024-07-10 13:49:00	Info	Agent	[INFO]: Hello, I'm an agent and my address is agent1qv7qyzyjw4kse7x4p7nv2m2qfxur2r4m03m4x2h4qssyl4k3stz72gas84s.

For a better understanding of Agentverse hosted agents, head over to this guide .

Create agents locally

You can also run a local agent on the Agentverse so to make it able to communicate with other agents registered on the Fetch Network and the Agentverse. This may be the case where you want to run an agent on your own hardware or infrastructure (e.g., VM, your laptop, Raspberry pi or tweak for Agentverse).

Whenever you create a local agent, you can either run a it on the Agentverse by using an endpoint or an Agentverse Mailbox.

Run a local agent using an endpoint

Let's consider the following local agent code:

agent.py
from uagents.setup import fund_agent_if_low
from uagents import Agent, Context, Protocol, Model
 
class Message(Model):
    message: str
 
agent = Agent(
    name="TestAgent",
    port=6145,
    seed="RANDOM STRINGS",
    endpoint=["http://YOUR_IP:6145/submit"],
)
 
fund_agent_if_low(agent.wallet.address())
 
@agent.on_event("startup")
async def hi(ctx: Context):
    ctx.logger.info(agent.address)
 
test_protocol = Protocol("TestProtocol")
 
# Define your agent protocols
# Include the protocols within your agent
agent.include(test_protocol, publish_manifest=True)
 
agent.run()

The agent is initialized with an endpoint and a port so that it can receive messages, and other agents know where to send them.

You need to define the agent's protocols to define what type of messages it will expect and produce whenever interacting with other agents. For an example of a complete code for a local agent with protocols, checkout this guide .

By implementing the uagents-ai-engine library, you will make your agent AI Engine compatible and retrievable via DeltaV.

When running the above local agent, you will see something like this in your terminal:


INFO:     [TestAgent]: Manifest published successfully: TestProtocol
INFO:     [TestAgent]: Registering on almanac contract...
INFO:     [TestAgent]: Registering on almanac contract...complete
INFO:     [TestAgent]: agent1qvwk0ntr38yyghccrg530hnnm88r5uske4hdcalsa7gqp7sjgx42k4mp62r
INFO:     [TestAgent]: Starting server on http://0.0.0.0:6145 (Press CTRL+C to quit)

Great! You have successfully registered your local agent on the Fetch Network and the Agentverse. You can validate this by heading to the Agentverse Explorer tab and paste the address of the local agent you just registered. You should be able to see your local agent's details and protocols.

Run a local agent using a Mailbox

Mailboxes allow for communication between your local agents and any other agents registered within the Fetch Network and Agentverse without the need for you to be constantly present to operate them.

Let's consider the following local agent example:

agent.py
from uagents import Agent, Context, Model, Protocol
 
class Message(Model):
    message: str
 
SEED_PHRASE = "put_your_seed_phrase_here"
 
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
agent = Agent(
    name="MailboxTestAgent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
print(f"Your agent's address is: {agent.address}")
 
test_protocol = Protocol("TestProtocol")
 
# Define your agent protocols and behaviour
# Include the protocols within your agent
 
if __name__ == "__main__":
    agent.run()

You can create a Mailbox by retrieving your local agent address and head over to the Agentverse: My Agents tab. Click on Local Agents and click on Connect Local Agent button. Provide the address and name of the local agent you wish to retrieve and wait for confirmation. You will then be able to see a Mailbox API Key. Copy and paste it within your local agent code by filling up the AGENT_MAILBOX_KEY field inline and restart the agent.

For an example of a complete code for a local agent with protocols registered on the Agentverse using the Mailbox feature, checkout this example .

When running the above local agent, you will see something like this on your terminal:


Your agent's address is: agent1qfa53drat8rzau90u4494gx5mhj3v87tm4t5cuzkd7gkegxcm5vx5pku7kf
INFO:     [MailboxTestAgent]: Registering on almanac contract...
INFO:     [MailboxTestAgent]: Registering on almanac contract...complete
INFO:     [MailboxTestAgent]: Connecting to mailbox server at agentverse.ai
INFO:     [MailboxTestAgent]: Mailbox access token acquired

Great! You have successfully registered your local agent on the Agentverse and Fetch Network using a Mailbox.

Create Agents and Agent Functions using APIs

If you wish to to create Agents and Agent Functions in Agentverse using APIs, head over to this guide which shows how set up a Python script that interacts with the Agentverse and helps you creating Agents and Agent Functions using APIs.

Next steps

Now that you have a complete understanding on how to run agents on the Agentverse platform, you are ready to create your first Agent Function , Register it on the Agentverse and make it retrievable via DeltaV .

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Agents and Functions Creation using APIs Adding Secret to agent using Agentverse API