PiraAI | Docs
  • Introduction
    • About PiraAI
  • Problems & Solution
  • The Vision
  • Official Links
  • Core Features
    • Core Architecture
      • Multi-Agent Orchestration
      • Foundation Model Router
      • Tool Binding & Instruction Engine
  • Solana Integration Layer
  • Market Intelligence
    • Social Orchestration
    • Real-Time Market Data
    • KOL Sentiment Tracking
  • Security & Risk Management
  • Analytics & Deployment
  • TOKEN
  • Tokenomic
  • Token Ultilities
  • Roadmap
    • Roadmap
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  1. Core Features

Core Architecture

PreviousOfficial LinksNextMulti-Agent Orchestration

Last updated 20 days ago

These foundational modules form the AI agent’s cognitive engine, enabling multi-step reasoning, contextual awareness, and dynamic execution routing:

  • Multi-Agent Orchestration Enables autonomous workflows between agent clusters. Agents can delegate, coordinate, and execute complex multi-step tasks without manual intervention — from scanning markets to executing trades based on evolving on-chain signals.

  • Foundation Model Router Provides access to a wide range of frontier AI models (GPT-4o, Claude 3.7, Gemini 2.0, Qwen 2.5, LLaMA 3.3). PiraAI dynamically routes prompts based on task type, latency sensitivity, and cost optimization — ensuring the best model is used per context.

  • Tool Binding & Instruction Engine Allows advanced customization through prompt engineering and autonomous tool selection. Agents can bind specific functions (trading, scanning, messaging) to particular contexts or triggers with high granularity.