Docs/Hyperagent/Core Concepts/AI Generation

AI Generation

Hyperagent uses advanced language models to transform natural language descriptions into production-ready Solidity smart contracts.

Overview

The AI generation system processes natural language input, retrieves relevant contract templates, and uses LLM providers to generate optimized Solidity code. The system understands context, requirements, and best practices to produce secure, efficient contracts.

LLM Providers

Hyperagent supports multiple LLM providers:

Google Gemini

Default provider, optimized for code generation

OpenAI GPT

Alternative provider, supports GPT-4 and GPT-3.5

Template System

Hyperagent uses a template retrieval system to find relevant contract patterns:

Terminal

from hyperagent.rag.template_retriever import TemplateRetriever

# Initialize template retriever
retriever = TemplateRetriever(llm_provider, db_session=db)

# Generate contract from description
contract_code = await retriever.retrieve_and_generate(
    nlp_description="Create an ERC20 token",
    contract_type="token"
)

Generation Flow

The generation process follows these steps:

1. Parse Natural Language

Extract requirements and contract type from description

2. Retrieve Templates

Find relevant contract templates from vector database

3. Generate Code

Use LLM to generate Solidity code based on templates and requirements

4. Validate & Optimize

Check syntax, optimize gas usage, and ensure best practices

Core Concepts

Security Auditing