Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and custom metrics. Use when building agents, debugging LLM applications, or needing audit trails for GenAI systems.
How to install genai-tracing?
dominodatalab/domino-claude-plugin/genai-tracing
$npx -y skills add dominodatalab/domino-claude-plugin --skill genai-tracingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/dominodatalab/domino-claude-plugin" --skill "dominodatalab/domino-claude-plugin/genai-tracing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dominodatalab/domino-claude-plugin" that are relevant to the current task. Run `npx skills add "https://github.com/dominodatalab/domino-claude-plugin"` and select the relevant skills, then follow their instructions.
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