Eternal AI
  • The AI layer for the new internet
  • eternals
    • What are Eternals?
    • Specification
    • Proof-of-Compute
  • The new internet, AI-powered
    • Bitcoin, AI-powered
      • Eternals on Bitcoin
      • BitAI Virtual Machine
      • Run a BitAI node
    • Ethereum, AI-powered
    • Solana, AI-powered
  • smart contracts, ai-powered
    • How to use onchain LLM
    • Onchain AI composability - AI Powered Wallet
    • Onchain AI Composability - AI Powered Gaming With Chess
  • neurons
    • What are Neurons?
    • Neuron Device
    • Virtual Neurons
      • Solo Neuron
      • Neuron as a Service
      • Pooled Neuron
  • AI CHAINS
    • What are AI chains?
    • Bittensor and existing concepts
    • Base layer: Bitcoin vs Bittensor
    • AI chains: Bitcoin L2s vs Subnets
    • Apps: Smart contracts vs APIs
  • EAI
    • Utilities
    • Tokenomics
  • fully onchain ai models
    • Architecture
    • Deploy your first fully onchain AI
      • Set up your development environment
      • Create a self-custody wallet
      • Train an AI model in Keras
      • Transform the Keras model to Eternal
      • Send, receive, and trade Eternals
    • Progress
    • Misc
      • Transforming an AI Model into an Eternal
      • Standardized data formats
      • Specification
        • Layers
        • Models
  • Decentralized Inference API
    • API
      • API Key
      • Completions
      • Chat completion
      • Create a dagent
      • Get deposit address
      • Get dagent info
      • Agent Completion
    • Onchain Models
    • Tutorials
      • Build unstoppable Eliza agents
      • Build unstoppable Rig agents
      • Build unstoppable ZerePy agents
      • Decentralized ChatGPT
      • Don't Trust, Verify
      • Adjust your dagent personality
      • Launch on Twitter
      • Chain of thought
      • Build a dagent as a service with EternalAI API
    • Open Source
      • Architecture
      • Installation
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On this page
  • Prerequisites
  • Installation
  • Using Conda
  • Using pip
  1. Decentralized Inference API
  2. Open Source

Installation

Prerequisites

In the source code, we tested with Python 3.10.0, but it should work with any version of Python 3.10.x or higher.

Installation

Set up the project environment using one of the methods below: Conda or pip.

Using Conda

Create a Conda Environment

conda create -n eternalai_agents python=3.10.0

Activate the Conda Environment:

conda activate eternalai_agents

Install Dependencies:

Navigate to the project directory and run:

pip install -r requirements.txt

Using pip

If you prefer to use Pip without Conda, simply navigate to the project directory and run:

pip install -r requirements.txt
PreviousArchitecture

Last updated 5 months ago