Group: Byteveda Agenteval

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Core data model, metric interfaces, and scoring engine

LLM-as-judge engine with OpenAI and Anthropic provider integrations

Dataset loading, management, and serialization

Evaluation result reporters: console, JUnit XML, and more

Built-in evaluation metric implementations

Embedding model integrations for OpenAI and Ollama

Bill of Materials for AgentEval dependency management

Chaos engineering and resilience testing for AI agents

Contract testing and behavioral invariant verification for AI agents

Capability profiling and fingerprinting for AI agents

GitHub Actions integration with Markdown reporter and PR commenting

JUnit 5 extension, annotations, and assertion API for agent evaluation

LangChain4j auto-capture integration for AgentEval

LangGraph4j graph execution capture for AgentEval

MCP tool call capture for AgentEval

Mutation testing for AI agent system prompts

Java AI Agent Evaluation & Testing Library

Adversarial testing and red teaming for AI agents

Record and replay agent and judge interactions for deterministic evaluation testing

Spring AI auto-capture integration for AgentEval