# 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.

## Facts
- Page: https://tashan.sh/capability/skill-confident-ai-deepeval-tracing
- tashan id: skill:confident-ai/deepeval-tracing
- Source: https://github.com/confident-ai/deepeval
- Type: skill
- Category: ai
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 97.0
- Freshness: 93.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r deepeval-tracing ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-16 by tashan (https://tashan.sh) from public evidence. Scorer s5.