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
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
- 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
- Instrument your agents for evaluations and LLM guardrailing by referencing the examples:
https://github.com/arthur-ai/arthur-engine/tree/dev/genai-engine/examples
To unlock the full capabilities of the Arthur Platform, sign up and get started for free.
- Custom dashboards
- Alerts and notifications
- Configurable webhook that can trigger any workflow
- Agent discovery
- Governance
Claude Code users
Paste this prompt directly into a Claude Code session that's running on your agent application:
For each skill name in this list — arthur-onboard-platform, arthur-onboard-platform-access, arthur-onboard-platform-workspace, arthur-onboard-platform-engine, arthur-onboard-platform-model, arthur-onboard-platform-token, arthur-onboard-analyze, arthur-onboard-instrument, arthur-onboard-prompts, arthur-onboard-verify, arthur-onboard-eval-provider, arthur-onboard-evals — 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). Once all skills are saved, read ~/.claude/skills/arthur-onboard-platform/SKILL.md and follow its instructions.
Codex users
Install the Arthur Platform onboarding Codex skills from arthur-ai/arthur-engine.
Install these skill folders into ${CODEX_HOME:-~/.codex}/skills:
- arthur-onboard-platform
- arthur-onboard-platform-access
- arthur-onboard-platform-workspace
- arthur-onboard-platform-engine
- arthur-onboard-platform-model
- arthur-onboard-platform-token
- 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
Onboard via the platform UI.
The enterprise version of the Arthur Platform provides better performance, additional features, and capabilities, including custom enterprise-ready guardrails + metrics, which can maximize the potential of AI for your organization.
Key features:
- State-of-the-art proprietary evaluation models trained by Arthur's world-class machine learning engineering team
- Air-gapped deployment of the Arthur Engine (no dependency to Hugging Face Hub)
- Optional on-premises deployment of the entire Arthur Platform
- Support from the world-class engineering teams at Arthur
To learn more about the enterprise version of the Arthur Platform, reach out!
- Join the Arthur community on Discord to get help and share your feedback.
- To make a request for a bug fix or a new feature, please file a GitHub issue.
- To make code contributions, please review the contributing guidelines.
- Thank you!