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
  2. Core Architecture

Foundation Model Router

2. Foundation Model Router

PiraAI connects to multiple leading large language models (LLMs) via API abstraction. The Router dynamically selects the optimal model for each prompt — based on content complexity, latency requirements, and token cost. It supports GPT-4o, Claude 3.7, Gemini 2.0, Qwen 2.5, LLaMA 3.3, and more.

No single model dominates every use case. Traders need speed, context, and affordability — all at once. Foundation Model Router is the intelligence optimization layer.

Advantages:

  • Cost-effective (route simple logic to cheaper models)

  • Low-latency trading reaction (sub-second execution)

  • Multi-model fallback (resilience and flexibility)

  • Promotes LLM composability in Web3 (model-as-a-layer).

  • Lowers AI entry barrier for users without deep ML knowledge.

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Last updated 24 days ago