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 calls, retrieval / vector search, and tool calls. The span types (llm, retriever, tool, agent) describe AI components. Do not trace non-AI software (web servers, CRUD backends, infrastructure). If the target has no LLM, agent, retrieval, or tool-calling component, this skill does not apply.