Welcome! Bittensor is an open source platform on which you can produce competitive digital commodities. These digital commodities can be machine intelligence, storage space, compute power, protein folding, financial markets prediction, and many more. You are rewarded in TAO when you produce best digital commodities.
The Opentensor Foundation (OTF) provides all the open source tools, including this Bittensor SDK, the codebase and the documentation, with step-by-step tutorials and guides, to enable you to participate in the Bittensor ecosystem.
This Bittensor SDK contains ready-to-use Python packages for interacting with the Bittensor ecosystem, writing subnet incentive mechanisms, subnet miners, subnet validators and querying the subtensor (the blockchain part of the Bittensor network).
In Bittensor there is one blockchain, and many platforms that are connected to this one blockchain. We call these platforms as subnets, and this one blockchain subtensor. So, a subnet can be AI-related or it can be something else. The Bittensor network has a number of distinct subnets. All these subnets interact with subtensor blockchain. If you are thinking, "So, subnets are not part of the blockchain but only interact with it?" then the answer is "yes, exactly."
Each category of the digital commodity is produced in a distinct subnet. Applications are built on these specific subnets. End-users of these applications would be served by these applications.
Subnets, which exist outside the blockchain and are connected to it, are off-chain competitions where only the best producers are rewarded. A subnet consists of off-chain subnet validators who initiate the competition for a specific digital commodity, and off-chain subnet miners who compete and respond by producing the best quality digital commodity.
Scores are assigned to the top-performing subnet miners and subnet validators. The on-chain Yuma Consensus determines the TAO rewards for these top performers. The Bittensor blockchain, the subtensor, runs on decentralized validation nodes, just like any blockchain.
This SDK repo is for Bittensor platform only This Bittensor SDK codebase is for the Bittensor platform only, designed to help developers create subnets and build tools on Bittensor. For subnets and applications, refer to subnet-specific websites, which are maintained by subnet owners.
See Bittensor SDK Release Notes.
Before you can start developing, you must install Bittensor SDK and then create Bittensor wallet.
If you already installed Bittensor SDK, make sure you upgrade to the latest version. Run the below command:
python3 -m pip install --upgrade bittensorYou can install Bittensor SDK on your local machine in either of the following ways. Make sure you verify your installation after you install:
This is the most straightforward method. It is recommended for a beginner as it will pre-install requirements like Python, if they are not already present on your machine. Copy and paste the following bash command into your terminal:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/opentensor/bittensor/master/scripts/install.sh)"For Ubuntu-Linux users
If you are using Ubuntu-Linux, the script will prompt for sudo access to install all required apt-get packages.
pip3 installpython3 -m venv bt_venv
source bt_venv/bin/activate
pip install bittensorCreate and activate a virtual environment
Create Python virtual environment. Follow this guide on python.org.
Activate the new environment. Follow this guide on python.org
Clone the Bittensor SDK repo
git clone https://github.com/opentensor/bittensor.gitYou can install using any of the below options:
Install only SDK: Run the below command to install Bittensor SDK in the above virtual environment.
pip install bittensorInstall SDK with btcli: Install Bittensor SDK with btcli. The btcli will be installed as an independent tool and its Python package is bittensor-cli.
pip install bittensor[btcli]Install SDK with torch: Install Bittensor SDK with torch.
pip install bittensor[torch]Install SDK with cubit: Install Bittensor SDK with cubit.
cubit first. See the Install section. Only Python 3.9 and 3.10 versions are supported. pip install bittensor.To install and run Bittensor SDK on Windows you must install WSL 2 (Windows Subsystem for Linux) on Windows and select Ubuntu Linux distribution.
After you installed the above, follow the same installation steps described above in Install on macOS and Linux.
ALERT: Limited support on Windows While wallet transactions like delegating, transfer, registering, staking can be performed on a Windows machine using WSL 2, the mining and validating operations are not recommended and are not supported on Windows machines.
You can verify your installation in either of the below ways:
btsdk versionpython3 -m bittensorThe above command will show you the version of the btsdk you just installed.
Launch the Python interpreter on your terminal.
python3Enter the following two lines in the Python interpreter.
import bittensor as bt
print( bt.__version__ )The Python interpreter output will look like below:
Python 3.11.6 (main, Oct 2 2023, 13:45:54) [Clang 15.0.0 (clang-1500.0.40.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import bittensor as bt
>>> print( bt.__version__ )
<version number>You will see the version number you installed in place of <version number>.
You can also verify the Bittensor SDK installation by listing the axon information for the neurons. Enter the following lines in the Python interpreter.
import bittensor
metagraph = bittensor.Metagraph(1)
metagraph.axons[:10]The Python interpreter output will look like below.
[AxonInfo( /ipv4/3.139.80.241:11055, 5GqDsK6SAPyQtG243hbaKTsoeumjQQLhUu8GyrXikPTmxjn7, 5D7u5BTqF3j1XHnizp9oR67GFRr8fBEFhbdnuVQEx91vpfB5, 600 ), AxonInfo( /ipv4/8.222.132.190:5108, 5CwqDkDt1uk2Bngvf8avrapUshGmiUvYZjYa7bfA9Gv9kn1i, 5HQ9eTDorvovKTxBc9RUD22FZHZzpy1KRfaxCnRsT9QhuvR6, 600 ), AxonInfo( /ipv4/34.90.71.181:8091, 5HEo565WAy4Dbq3Sv271SAi7syBSofyfhhwRNjFNSM2gP9M2, 5ChuGqW2cxc5AZJ29z6vyTkTncg75L9ovfp8QN8eB8niSD75, 601 ), AxonInfo( /ipv4/64.247.206.79:8091, 5HK5tp6t2S59DywmHRWPBVJeJ86T61KjurYqeooqj8sREpeN, 5E7W9QXNoW7se7B11vWRMKRCSWkkAu9EYotG5Ci2f9cqV8jn, 601 ), AxonInfo( /ipv4/51.91.30.166:40203, 5EXYcaCdnvnMZbozeknFWbj6aKXojfBi9jUpJYHea68j4q1a, 5CsxoeDvWsQFZJnDCyzxaNKgA8pBJGUJyE1DThH8xU25qUMg, 601 ), AxonInfo( /ipv4/149.137.225.62:8091, 5F4tQyWrhfGVcNhoqeiNsR6KjD4wMZ2kfhLj4oHYuyHbZAc3, 5Ccmf1dJKzGtXX7h17eN72MVMRsFwvYjPVmkXPUaapczECf6, 600 ), AxonInfo( /ipv4/38.147.83.11:8091, 5Hddm3iBFD2GLT5ik7LZnT3XJUnRnN8PoeCFgGQgawUVKNm8, 5DCQw11aUW7bozAKkB8tB5bHqAjiu4F6mVLZBdgJnk8dzUoV, 610 ), AxonInfo( /ipv4/38.147.83.30:41422, 5HNQURvmjjYhTSksi8Wfsw676b4owGwfLR2BFAQzG7H3HhYf, 5EZUTdAbXyLmrs3oiPvfCM19nG6oRs4X7zpgxG5oL1iK4MAh, 610 ), AxonInfo( /ipv4/54.227.25.215:10022, 5DxrZuW8kmkZPKGKp1RBVovaP5zHtPLDHYc5Yu82Z1fWqK5u, 5FhXUSmSZ2ec7ozRSA8Bg3ywmGwrjoLLzsXjNcwmZme2GcSC, 601 ), AxonInfo( /ipv4/52.8.243.76:40033, 5EnZN591jjsKKbt3yBtfGKWHxhxRH9cJonqTKRT5yTRUyNon, 5ChzhHyGmWwEdHjuvAxoUifHEZ6xpUjR67fDd4a42UrPysyB, 601 )]
>>>Instructions for the release manager: RELEASE_GUIDELINES.md document.
Ready to contribute? Read the contributing guide before making a pull request.
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