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Working with eliza

eliza is a simple, fast, and lightweight AI agent framework. Recently, eliza has integrated Gaia as one of the model service provider. This means you can now use Gaia as the LLM service backend for the Eliza framework.

Build a Trump agent with eliza and Gaia​

This guide demonstrates how to create an agent with Trump-like characteristics using the Get Started guide from eliza.

Set up the environment​

Note: Ensure your Node.js version is above 0.23.0 before proceeding.

Firstly, clone the Eliza repository:

git clone https://github.com/elizaos/eliza.git
cd eliza
git checkout v0.1.7-alpha.1

Next, install the required dependencies.

pnpm install

Then, build the local libraries.

pnpm build

Choose Gaia as the model service provider​

After that, we will need to configure the environment and use a Gaia node as model service provider.

cp .env.example .env

Then, edit the .env file to include Gaia-related configuration values:

# Gaianet Configuration
GAIANET_MODEL=llama3b
GAIANET_SERVER_URL=https://llama3b.gaia.domains/v1

SMALL_GAIANET_MODEL=            # Default: llama3b
SMALL_GAIANET_SERVER_URL=       # Default: https://llama3b.gaia.domains/v1
MEDIUM_GAIANET_MODEL=           # Default: llama
MEDIUM_GAIANET_SERVER_URL=      # Default: https://llama8b.gaia.domains/v1
LARGE_GAIANET_MODEL=            # Default: qwen72b
LARGE_GAIANET_SERVER_URL=       # Default: https://qwen72b.gaia.domains/v1

GAIANET_EMBEDDING_MODEL=nomic-embed
USE_GAIANET_EMBEDDING=TRUE          # Set to TRUE for GAIANET/768, leave blank for local

By using this configuration, the system will utilize the Llama 3b Gaia domain as the LLM backend. You can replace GAIANET_SERVER_URL with a URL for your custom node or domain.

Create the Trump agent​

The default character templates are located in the characters folder.

Update the modelProvider for the desired character. For Gaia, the provider name is gaianet.

    "name": "trump",
    "clients": [],
    "modelProvider": "gaianet",
    "settings": {
        "secrets": {},
        "voice": {
            "model": "en_US-male-medium"
        }
    },
    "plugins": [],

Then, we can use the following command line to start running the agent.

pnpm run dev --character="characters/trump.character.json"

After the service runs successfully, we can launch the client UI to interact with the agent:

pnpm start:client

Finally, open http://localhost:5174/ on your browser to start chatting with the agent.

image

Advanced use case​

For more inspiration, refer toNader Fabit's example on building a Twitter AI bot.