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deepeval-tracing

Skill

Instrument an AI application with DeepEval's native tracing so its behavior is visible in Confident AI. TRIGGER when the user wants to add DeepEval tracing or @observe to an LLM app, agent, RAG pipeline, or chatbot; wire a framework, model-provider, or vector-database integration (LangGraph, LangCha

0Machine Learning

Install

git clone https://github.com/confident-ai/deepeval.git ~/.claude/skills/deepeval-tracing

What is deepeval-tracing?

Instrument an AI application with DeepEval's native tracing so its behavior is visible in Confident AI. TRIGGER when the user wants to add DeepEval tracing or @observe to an LLM app, agent, RAG pipeline, or chatbot; wire a framework, model-provider, or vector-database integration (LangGraph, LangChain, OpenAI Agents, LlamaIndex, Pydantic AI, CrewAI, and others); choose between a native integration and manual instrumentation; set span types, tags, or metadata; or send DeepEval-SDK traces to Confident AI's Observatory. DO NOT TRIGGER for building DeepEval pytest eval suites, datasets, goldens, metrics, or deepeval test run (use the `deepeval` skill), or for raw OpenTelemetry / OTLP export without the deepeval package (use the `deepeval-otel` skill). This skill is purely DeepEval-SDK instrumentation — producing well-formed traces, not running evals.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~215 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

DeepEval Tracing

Use this skill to instrument an AI application — an LLM app, agent, RAG pipeline, or chatbot — with DeepEval's native tracing so its execution is visible span by span in Confident AI's Observatory. The work is: pick a supported integration when one exists, fall back to manual @observe otherwise, give each span a meaningful type, and add tags and metadata.

This skill stops at producing well-formed traces. Attaching evaluation metrics and running evals is the deepeval skill's job.

Scope: AI Applications Only

Instrument only the AI parts of the system — agent loops and planning, LLM

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