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arthur-engine

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arthur-ai/arthur-engine

Make AI work for Everyone - Monitoring and governing for your AI/ML

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Install

pip install arthur-engine
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Overview

Make AI work for Everyone - Monitoring and governing for your AI/ML

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python

Source: github.language · Jul 15, 2026

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README

Arthur AI Logo

Make AI work for Everyone.

Website - Documentation - Talk to someone at Arthur

The Arthur Engine

The Arthur Engine provides a complete service for developing, monitoring, and governing your AI/ML workloads using popular open-source technologies and frameworks. It is a tool designed for:

  • Enforcing Guardrails in your LLM Applications and Generative AI Workflows
    • Configurable metrics for real-time detection of PII or Sensitive Data leakage, Hallucination, Prompt Injection attempts, Toxic language, and other quality metrics
  • Building, Evaluating, Observing and Governing Agentic Applications
    • Collect and analyze OpenInference OpenTelemetry (OTEL) traces from any agentic workflow or LLM application
    • Run continuous evaluations on live traces to catch regressions and quality issues automatically
    • Manage, version, and iterate on prompts across your applications
    • Run experiments to compare prompt variants and measure their impact on quality metrics
    • Evaluate and monitor Retrieval-Augmented Generation (RAG) pipelines end-to-end
  • Monitoring and Benchmarking Machine Learning models (requires the Arthur Platform)
    • Support for a wide range of evaluation metrics (e.g., drift, accuracy, precision, recall, F1, and AUC)
    • Tools for comparing models, exploring feature importance, and identifying areas for optimization
    • For LLMs/GenAI applications, measure and monitor response relevance, hallucination rates, token counts, latency, and more
  • Extensibility to fit into your application's architecture
    • Native support for custom metrics and extensible API

Quickstart

Claude Code users

Paste this prompt directly into Claude Code that's running on your agent application:

For each skill name in this list — arthur-onboard-oss, arthur-onboard-oss-engine, arthur-onboard-task, arthur-onboard-analyze, arthur-onboard-instrument, arthur-onboard-prompts, arthur-onboard-verify, arthur-onboard-eval-provider, arthur-onboard-evals, arthur-skills-upgrade — fetch https://raw.githubusercontent.com/arthur-ai/arthur-engine/refs/heads/main/integrations/claude-code-skills/arthur-onboard/<skill-name>/SKILL.md and save it to ~/.claude/skills/<skill-name>/SKILL.md (create the directory if it doesn't exist). Also fetch https://raw.githubusercontent.com/arthur-ai/arthur-engine/refs/heads/main/integrations/claude-code-skills/arthur-onboard/arthur-onboard-instrument/EXAMPLES.md and save it to ~/.claude/skills/arthur-onboard-instrument/EXAMPLES.md. Once all files are saved, read ~/.claude/skills/arthur-onboard-oss/SKILL.md and follow its instructions.

Codex users

Paste this prompt directly into a Codex session that's running on your agent application:

Install the Arthur OSS onboarding Codex skills from arthur-ai/arthur-engine.

Install these skill folders into ${CODEX_HOME:-~/.codex}/skills:
- arthur-onboard-oss
- arthur-onboard-oss-engine
- arthur-onboard-task
- arthur-onboard-analyze
- arthur-onboard-instrument
- arthur-onboard-prompts
- arthur-onboard-verify
- arthur-onboard-eval-provider
- arthur-onboard-evals

Fetch each SKILL.md from:
https://raw.githubusercontent.com/arthur-ai/arthur-engine/main/integrations/claude-code-skills/arthur-onboard/<skill-name>/SKILL.md

Create each directory as needed. After installation, remind me to restart Codex.

Everyone else

  1. Run the engine installer with the below command:

Mac

bash <(curl -sSL https://get-genai-engine.arthur.ai/mac)

Windows

iex (iwr -Uri "https://get-genai-engine.arthur.ai/win" -UseBasicParsing).Content
  1. Instrument your agents

For agents

This page has a .md twin and JSON over the API.

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