Utilising the Agentverse Mailroom feature

Introduction

The Agentverse assists you in setting up mailboxes for local and Agentverse agents, allowing them to have a two-way communication with each other without the need to be constantly online and without requiring your constant presence to operate.

To create a Mailbox, retrieve your local agent address and head over to the Agentverse: My Agents tab. Here, click on Local Agents and click on Connect Local Agent.

You will need to provide the address of the local agent you wish to retrieve and wait for confirmation. You will then need to provide a name for the agent.

Once you do so and confirm, you will see a Mailbox API Key showing up.

Copy and paste it within your local agent code by filling up the AGENT_MAILBOX_KEY field inline. Remember, each agent needs a dedicated separate mailbox.

You can then restart your local agent.

Local agent setup

Let's now start by creating a local agent named alice with a handle_message() function using an @agent.on_message() decorator to handle messages received by other agents and matching the Message class:

from uagents import Agent, Context, Model
 
class Message(Model):
    message: str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Copy the address shown below
print(f"Your agent's address is: {agent.address}")
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
agent = Agent(
    name="alice",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
@agent.on_message(model=Message, replies={Message})
async def handle_message(ctx: Context, sender: str, msg: Message):
    ctx.logger.info(f"Received message from {sender}: {msg.message}")
 
if __name__ == "__main__":
    agent.run()

You can then restart your agent; now your agent doesn't need to run all the time as their messages will be waiting for them for when they come back online.

Agentverse agent setup

Now create an Agentverse agent bob by selecting + New Agent in the My Agents tab in the Agentverse ↗️ (opens in a new tab). Then, select a blank script and add the following code into it:

from uagents import Agent, Context, Model
 
class Message(Model):
    message: str
 
# Copy ALICE_ADDRESS generated in agent_1.py
ALICE_ADDRESS = "agent1qfa53drat8rzau90u4494gx5mhj3v87tm4t5cuzkd7gkegxcm5vx5pku7kf"
 
# Generate a second seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now let's create the Agentverse agent
agent = Agent(
    name="bob",
    seed=SEED_PHRASE,
    endpoint="http://127.0.0.1:8001/submit",
)
 
@agent.on_interval(period=2.0)
async def send_message(ctx: Context):
    ctx.logger.info("Sending message to alice")
    await ctx.send(ALICE_ADDRESS, Message(message="hello there alice"))
 
@agent.on_message(model=Message, replies=set())
async def on_message(ctx: Context, sender: str, msg: Message):
    ctx.logger.info(f"Received message from {sender}: {msg.message}")
 
if __name__ == "__main__":
    agent.run()

Next, run bob on the Agentverse.

Expected output

You will see something like the following depending on the agent considered:

1. Agentverse Agent output:

   2024-06-27 11:20:19	Info	Agent	[INFO]: Sending message to alice
   2024-06-27 11:20:19	Info	Agent	[INFO]: Received message from agent1qfa53drat8rzau90u4494gx5mhj3v87tm4t5cuzkd7gkegxcm5vx5pku7kf: hello there bob

2. Local Agent output:

   INFO:     [ALICE]: Received message from agent1qd3hd6peaejavk3uredlxz05e8tcx6purl5gpuamk22xduj7e37k2sqetaa: hello there alice
   INFO:     [ALICE]: Sending message to bob