Capx AI Builder Program
  • 🖖Introduction
    • 💻Capx AI Agent Builder (CAAB)
    • 👨‍💻Capx AI Infrastructure
  • CAPX AI BUILDER PROGRAM
    • 👷‍♂️Overview
    • 🌍Capx AI Agent Hackfest
    • ⭐Capx AI Bounties
    • ✨Capx AI Ecosystem Grant
  • GETTING STARTED
    • 👊How to Apply
    • 📗Resources
      • ▶️FAQs
      • ▶️Learning Material
      • ▶️Tutorials
      • ▶️Support
  • Build AI Agent Guide
    • 🛠️Step 1: Defining the Agent's Functionality
    • 🛠️Step 2: Choosing the Framework
    • 🛠️Step 3: Selecting the LLM Model
    • 🛠️Step 4: Integrating External APIs and Tools
    • 🛠️Step 5: Setting Up the Development Environment
    • 🛠️Step 6: Deploying your AI Agent
  • AI Agent Examples
    • 1️⃣SynopsisAI - Reading Assistant
    • 2️⃣GluuuAI - Dating Assitant
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  1. Introduction

Capx AI Infrastructure

Capx AI Infrastructure is built on a robust and scalable architecture, designed to support the entire lifecycle of AI agents. Key components include:

  • Ethereum Layer 2: Capx Chain is an Ethereum Layer 2 network, designed to ensure high scalability and low transaction costs, enabling seamless consumer interactions. This allows developers and users to engage with AI agents seamlessly, unlocking verifiable on-chain inferencing, user-persona data storage, and seamless AI Agent monetisation.

  • Decentralized Node Infrastructure: Using our decentralized node infrastructure we aim to deliver unparalleled resource allocation and distribution, eliminating single points of failure, providing support for unified Capx AI API w.r.t caching, fallbacks, retries, timeouts, load-balancing, etc.

  • AI Resource Matching Engine (AVS): The Capx AI Resource Matching Engine is an actively validated service (AVS) that will intelligently allocate resources by matching the specific needs of AI agents with the capabilities of available nodes. This ensures that each AI agent operates at peak efficiency.

  • Crowdsourced AI Model Marketplace: The Crowdsourced AI model (LLMs) API Marketplace is a dynamic and collaborative space where developers can both access and contribute a wide array of AI models. This gives developers the ability to plug in their custom open-source LLM model APIs as well as closed-source AI model API and ensure fair resource allocation of the AI models to the AI Agents.

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Last updated 10 months ago

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