A quickstart to run OLAS agents
- Windows 10/11: WSL2 / Git BASH
- Mac ARM / Intel
- Linux
- Raspberry Pi 4
Ensure your machine satisfies the requirements:
- Python
==3.10
- Poetry
>=1.4.0
- Docker Engine
<25.0.0
- Docker Compose
- You need native assets of the chain on which your agent will run in one of your wallets.
- You need an RPC of that chain for your agent instance. We recommend Nodies RPC.
Clone this repository locally and execute:
chmod +x run_service.sh
./run_service.sh <agent_config.json>
where agent_config.json
is the path to your agent configuration file. Check the configs/
directory for available configurations of different agents.
Agent | Config path | Docs |
---|---|---|
Trader | configs/config_predict_trader.json |
Trader README |
Answer 1) No staking
when prompted:
Please, select your staking program preference
⚠️ Warning
The code within this repository is provided without any warranties. It is important to note that the code has not been audited for potential security vulnerabilities. Using this code could potentially lead to loss of funds, compromised data, or asset risk. Exercise caution and use this code at your own risk. Please refer to the LICENSE file for details about the terms and conditions.
Each staking program has different OLAS requirements. The script will check that your owner address meets the minimum required OLAS on the required Chain.
Clone this repository locally and execute:
chmod +x run_service.sh
./run_service.sh
Select your preferred staking program when prompted (example):
Please, select your staking program preference
----------------------------------------------
1) No staking
Your Olas Predict agent will still actively participate in prediction
markets, but it will not be staked within any staking program.
2) Quickstart Beta - Hobbyist
The Quickstart Beta - Hobbyist staking contract offers 100 slots for
operators running Olas Predict agents with the quickstart. It is designed as
a step up from Coastal Staker Expeditions, requiring 100 OLAS for staking.
The rewards are also more attractive than with Coastal Staker Expeditions.
3) Quickstart Beta - Expert
The Quickstart Beta - Expert staking contract offers 20 slots for operators
running Olas Predict agents with the quickstart. It is designed for
professional agent operators, requiring 1000 OLAS for staking. The rewards
are proportional to the Quickstart Beta - Hobbyist.
...
Find below a diagram of the possible status a service can be in the staking program:
Services can become staked by invoking the stake()
contract method, where service parameters and deposit amounts are verified. Staked services can call the checkpoint()
method at regular intervals, ensuring liveness checks and calculating staking rewards. In case a service remains inactive beyond the specified maxAllowedInactivity
time, it faces eviction from the staking program, ceasing to accrue additional rewards. Staked or evicted services can be unstaked by calling the unstake()
contract method. They can do so after minStakingDuration
has passed or if no more staking rewards are available.
Notes:
-
Staking is currently in a testing phase, so the number of agents that can be staked might be limited.
-
Services are evicted after accumulating 2 consecutive checkpoints without meeting the activity threshold.
-
Currently, the minimum staking time is approximately 3 days. In particular, a service cannot be unstaked during the minimum staking period.
-
Once a staking program is selected, you can reset your preference by stopping your agent by running
./stop_service.sh <agent_config.json>
and then running the command./reset_staking.sh <agent_config.json>
Keep in mind that your service must stay for
minStakingDuration
in a staking program (typically 3 days) before you can change to a new program.
Once the command has completed, i.e. the service is running, you can see the live logs with:
docker logs <agent_name>_abci_0 --follow
To stop your agent, use:
./stop_service.sh <agent_config.json>
If your service is staked, you can claim accrued OLAS through the script
./claim_olas.sh <agent_config.json>
The accrued OLAS will be transferred to your service Safe without having to unstake your service.
Agent runners are recommended to create a backup of the relevant secret key material.
Simply pull the latest script:
git pull origin
Then continue above with Run the script.
⚠️ Warning
The code within this repository is provided without any warranties. It is important to note that the code has not been audited for potential security vulnerabilities.If you are updating the password for your key files, it is strongly advised to create a backup of the old configuration (located in the
./.operate
folder) before proceeding. This backup should be retained until you can verify that the changes are functioning as expected. For instance, run the service multiple times to ensure there are no issues with the new password before discarding the backup.
If you have started your script specifying a password to protect your key files, you can change it by running the following command:
./reset_password.sh
This will change the password in the following files:
.operate/user.json
.operate/wallets/ethereum.txt
In Docker Desktop make sure that in Settings -> Advanced
the following boxes are ticked
We provide some hints to have your Windows system ready to run the agent. The instructions below have been tested in Windows 11.
Execute the following steps in a PowerShell terminal:
-
Install Git and Git Bash:
winget install --id Git.Git -e --source winget
-
Install Python 3.10:
winget install Python.Python.3.10
-
Close and re-open the PowerShell terminal.
-
Install Poetry:
curl.exe -sSL https://install.python-poetry.org | python -
-
Add Poetry to your user's path:
$existingUserPath = (Get-Item -Path HKCU:\Environment).GetValue("PATH", $null, "DoNotExpandEnvironmentNames") $newUserPath = "$existingUserPath;$Env:APPDATA\Python\Scripts" [System.Environment]::SetEnvironmentVariable("Path", $newUserPath, "User")
-
Install Docker Desktop:
winget install -e --id Docker.DockerDesktop
-
Log out of your Windows session and then log back in.
-
Open Docker Desktop and leave it opened in the background.
Now, open a Git Bash terminal and follow the instructions in the "Run the script" section as well as the subsequent sections. You might need to install Microsoft Visual C++ 14.0 or greater.
When executed for the first time, the run_service.sh
script creates a number of blockchain accounts:
- one EOA account will be used as the service owner and agent operator,
- one EOA account will be used for the agent, and
- one smart contract account corresponds to a Safe wallet with a single owner (the agent account).
The addresses and private keys of the EOA accounts (plus some additional configuration) are stored within the folder .operate
. In order to avoid losing your assets, back up this folder in a safe place, and do not publish or share its contents with unauthorized parties.
You can gain access to the assets of your service as follows:
-
Ensure that your service is stopped by running
stop_service.sh
. -
Ensure that you have a hot wallet (e.g., MetaMask) installed and set up in your browser.
-
Import the two EOAs accounts using the private keys. In MetaMask, select "Add account or hardware wallet" → "Import account" → "Select Type: Private Key", and enter the private key of the owner/operator EOA account (located in
.operate/wallets/ethereum.txt
): -
Repeat the same process with the agent EOA account (private key located in
.operate/keys
).
Now, you have full access through the hot wallet to the EOAs addresses associated to your service and you can transfer their assets to any other address. You can also manage the assets of the service Safe through the DApp https://app.safe.global/, using the address located in the file .operate/services/sc-.../config.json
against the "multisig"
field.
If you wish to terminate your on-chain service (and receive back the staking/bonding funds to your owner/operator address in case your service is staked) execute:
./stop_service.sh <agent_config.json>
./terminate_on_chain_service.sh <agent_config.json>
When updating the service, you may need to re-run the script if you obtain any of the following error messages:
Error: Service unbonding failed with following error; ChainTimeoutError(Timed out when waiting for transaction to go through)
Error: Component mint failed with following error; ChainTimeoutError(Timed out when waiting for transaction to go through)
Error: Service activation failed with following error; ChainTimeoutError(Timed out when waiting for transaction to go through)
Error: Service deployment failed with following error; ChainTimeoutError(Timed out when waiting for transaction to go through)
Error: Service terminatation failed with following error; ChainInteractionError({'code': -32010, 'message': 'AlreadyKnown'})