deepeval Claude Code Plugin
Claude Code Plugin Claude Code Development AI Agents & AI App DevelopmentCode Quality, Review & TestingMonitoring & ObservabilityThe explanation below is AI-generated. Please verify it against the sources.
This plugin packages DeepEval's Claude skills for building and running LLM evaluations directly inside an AI coding assistant. According to the deepeval GitHub repository, DeepEval is an open-source framework for testing LLM applications with metrics such as G-Eval, task completion, and answer relevancy, described as comparable to Pytest but aimed at unit testing LLM apps. The skill set also covers tracing of agent and RAG pipeline behavior, creation of evaluation datasets, and connecting results to Confident AI for shared reports. It is intended to let a coding agent generate test cases, run the deepeval test suite, and iterate on failing metrics automatically. Framework integrations mentioned in the source include OpenAI, LangChain, LangGraph, CrewAI, Anthropic, AWS AgentCore, LlamaIndex, Google ADK, and Strands.
About the service
Confident AI is described in the deepeval README as a companion platform that stores evaluation datasets, traces LLM application runs, and lets teams run and monitor evaluations in production. It exposes an MCP server so that tools such as Claude Code or Cursor can pull datasets and inspect traces without leaving the editor.
What you can do with deepeval
- Generate evaluation datasets and test cases for LLM apps, agents, or RAG pipelines
- Add tracing to agent or pipeline code to capture end-to-end evaluation spans
- Execute the deepeval test suite and iterate on failing metrics
- Sync test results and datasets to Confident AI for shared reporting and production monitoring via its MCP server
Sources
History of deepeval
- Claude Code Plugin Added deepeval