Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI.
# Using Copilot CLI
copilot plugin install arize-ax@awesome-copilot| Skill | Description |
|---|---|
arize-trace |
Export and analyze Arize traces and spans for debugging LLM applications using the ax CLI. |
arize-instrumentation |
Add Arize AX tracing to applications using a two-phase agent-assisted workflow. |
arize-dataset |
Create, manage, and query versioned evaluation datasets using the ax CLI. |
arize-experiment |
Run experiments against datasets and compare results using the ax CLI. |
arize-evaluator |
Create and run LLM-as-judge evaluators for automated scoring of spans and experiments. |
arize-ai-provider-integration |
Store and manage LLM provider credentials for use with evaluators. |
arize-annotation |
Create annotation configs and bulk-apply human feedback labels to spans. |
arize-prompt-optimization |
Optimize LLM prompts using production trace data, evaluations, and annotations. |
arize-link |
Generate deep links to the Arize UI for traces, spans, sessions, datasets, and more. |