| arize-instrumentation | Add Arize AX tracing to an app — two-phase flow: analyze codebase, then implement instrumentation |
| arize-trace | Export traces and spans by trace ID, span ID, or session ID; debug LLM application issues |
| arize-dataset | Create, manage, and download datasets and examples |
| arize-experiment | Run and analyze experiments against datasets |
| arize-evaluator | Create LLM-as-judge evaluators, run evaluation tasks, and set up continuous monitoring |
| arize-ai-provider-integration | Create and manage LLM provider credentials (OpenAI, Anthropic, Azure, Bedrock, Vertex, and more) |
| arize-annotation | Create and manage annotation configs (categorical, continuous, freeform); bulk-annotate project spans |
| arize-prompt-optimization | Optimize prompts using trace data, experiments, and meta-prompting |
| arize-prompts | Manage Prompt Hub templates and versions with ax prompts (create, label, promote) |
| arize-link | Generate deep links to traces, spans, and sessions in the Arize AX UI |
| arize-admin | Manage users, orgs, spaces, roles, role bindings, and API keys — enterprise access control and team onboarding |
| arize-compliance-audit | Audit an AI app for regulatory compliance (EU AI Act, NIST AI RMF, GDPR, HIPAA) — produces a tailored remediation checklist |
