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OMNIINTENT: A Trusted Intent-Centric Framework for User-Friendly Web3

Zhuoran Pan, Yue Li, Zhi Guan, Jianbin Hu, Zhong Chen

TL;DR

OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes.

Abstract

The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability. We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.

OMNIINTENT: A Trusted Intent-Centric Framework for User-Friendly Web3

TL;DR

OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes.

Abstract

The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability. We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.
Paper Structure (33 sections, 4 equations, 10 figures, 5 tables, 2 algorithms)

This paper contains 33 sections, 4 equations, 10 figures, 5 tables, 2 algorithms.

Table of Contents

  1. Introduction
  2. Background
  3. Intent-Centric Framework
  4. Trusted Execution Environment
  5. Overview
  6. Architecture
  7. Illustrative Motivating Example
  8. ICL Language Design
  9. Trusted Intent Compiler
  10. ICL Program Compilation
  11. Intent Compiler in TEE
  12. Protocol Overview.
  13. Execution Optimizer
  14. Parallel Transaction Submitter
  15. Feasibility Checker
  16. ...and 18 more sections

Figures (10)

  • Figure 1: Typical workflow in intent-centric DeFi systems.
  • Figure 2: OmniIntent Architecture.
  • Figure 3: Investment strategies written in ICL.
  • Figure 4: Transaction dependency construction and parallel submission execution.
  • Figure 5: Representative grammar of ICL.
  • ...and 5 more figures