Hello World AI agent

Example of an autonomous AI agent using the Open Autonomy framework. It comprises a set of 4 autonomous agent instances designed to achieve consensus. The objective is to decide which instance should print a "Hello World" message on its console in each iteration. Please refer to the Open Autonomy documentation - Demos - Hello World for more detailed information.

System requirements

• Python >=3.10
• Tendermint ==0.34.19
• Pipenv >=2021.x.xx
• Docker Engine
• Docker Compose
• The Open Autonomy framework

Prepare the environment

• Clone the repository:

  git clone git@github.com:valory-xyz/hello-world.git
  

• Create development environment:

  make new_env && pipenv shell
  

• Configure the Open Autonomy CLI:

  autonomy init --reset --author valory --remote --ipfs --ipfs-node "/dns/registry.autonolas.tech/tcp/443/https"
  

• Pull packages:

  autonomy packages sync --update-packages
  

Deploy the AI agent

• Fetch the AI agent from the local registry:

  autonomy fetch valory/hello_world:0.1.0 --local --service --alias hello_world_service; cd hello_world_service
  

• Build the agent blueprint docker image:

  autonomy build-image
  

• Generate testing keys for 4 agent instances:

  autonomy generate-key ethereum -n 4
  

  This will generate a keys.json file.

• Export the environment variable ALL_PARTICIPANTS. You must use the 4 agent instance addresses found in keys.json above:

  export ALL_PARTICIPANTS='["0xAddress1", "0xAddress2", "0xAddress3", "0xAddress4"]'
  

• Build the deployment (Docker Compose):

  autonomy deploy build ./keys.json -ltm
  

• Run the deployment:

  autonomy deploy run --build-dir ./abci_build/