AI Infrastructure · PyPI

agentanvil

Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.

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Details

Author
cchinchilla-dev
GitHub profile
@cchinchilla-dev
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/cchinchilla-dev/agentanvil
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@cchinchilla-dev

Overview

Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.

Quick start

pip

pip install agentanvil

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agentanvil can do

agentllmmulti-agentagents
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Multi Agent — multi-agent task automation.
  • Agents — agents task automation.

Frequently asked questions

What is agentanvil?
Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.
How do I install agentanvil?
Use pip: `pip install agentanvil`. Full setup details on the source page linked above.
Is agentanvil open source?
agentanvil is published on PyPI.
What are alternatives to agentanvil?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agentanvil is sourced from PyPI, published by cchinchilla-dev.

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