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amabito/README.md

Stops LLM agents from burning money

Building veronica-core -- runtime cost and execution containment for LLM agent systems. Your agent retries 3 times per layer. Three layers deep, that's 64 API calls from one user click. veronica-core caps it.


What I build

veronica-core v3.4.2 -- Runtime containment for LLM agents

  • Hard budget, step limits, retry caps, circuit breakers -- evaluated before the call reaches the model
  • Semantic loop detection, MCP containment, declarative YAML policies
  • AG2 integration merged (PR #2430), LangChain / CrewAI / LangGraph adapters
  • 4844 tests, 94% coverage, zero required dependencies
  • pip install veronica-core

Background

Construction consultant, 15 years. Regulated environments where failure has real cost. Now applying that mindset to LLM agent safety.


Technical

Python, C++, CUDA, TypeScript, WebGPU

Runtime containment, multi-agent orchestration, GPU kernels, 3D Gaussian Splatting


Writing


Open to work

Available for remote contract work -- AI safety, agent infrastructure, runtime systems.

keita.a.0609@gmail.com

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  1. veronica-core veronica-core Public

    Runtime containment layer for LLM agents. Token budgets, concurrency gates, adversarial hardening. Zero dependencies.

    Python 2

  2. amabito amabito Public