CliAgent — CLI Rewrite for AI Agent Compatibility

Turn legacy CLIs into agent-proof APIs with formal verification

CliAgent automatically reverse-engineers your internal command-line tools into type-safe, formally verified APIs that LLM agents can't misuse. Using Z3 SMT solver verification and JSON Schema constraints, we eliminate the hallucination risk when AI agents execute critical infrastructure commands. Deploy production-ready agent workflows without rewriting decades of battle-tested CLI tooling.

Key Benefits:

- Formal verification catches agent hallucinations before execution — Z3 solver validates every parameter against CLI exit codes and constraints

- Zero rewrites required — AST extraction preserves your legacy tools while generating agent-compatible OpenAPI specs automatically

- Production-grade safety — deterministic prompts with parameter bounds prevent the 'lying LLM' problem in critical DevOps workflows

MVP Scope: Build a CLI-to-API translator that reverse-engineers legacy CLI tools into formal specifications, generates deterministic LLM prompts with parameter constraints, and verifies agent outputs against exit codes before execution. MVP covers single CLI tool analysis, basic parameter validation, and LLM agent invocation with safety guardrails.

Tech Stack: Python/Rust for CLI analysis, JSON Schema for formal specs, Z3 SMT solver for verification, OpenAI/Claude API integration, FastAPI for gateway

Components:

- CLI Parser & AST Extractor

- Formal Specification Generator

- LLM Agent Adapter

- Verification Engine

- API Gateway

Quality assessment: Strong technical concept with clear market fit (legacy CLI modernization for AI agents) and concrete architecture (Z3 verification, formal specs, LLM adapter), but lacks implementation depth, concrete examples, and evidence of actual market validation—feels more like a well-articulated pitch than a proven approach.