Design visual, review-gated agent loops for Claude Code before you run them.
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Updated
Jul 7, 2026 - Python
Design visual, review-gated agent loops for Claude Code before you run them.
Pairwise LLM judges (A/B/tie): budget-aware multi-turn packing, position-bias correction, pseudo-label distillation. Generalized from the 4th-place (gold) solution to Kaggle LMSYS Chatbot Arena.
agentevals is a framework-agnostic evaluations solution based on OpenTelemetry traces
Academic Personal AI Infrastructure
Lumen — learner-owned AI education platform. Tell the AI what you want to learn: it builds you a private course in ~a minute, tutors you with course-scoped RAG + citations, and lets you share, clone & remix via a moderated catalog. BYOK, custom no-LangChain multi-agent orchestrator, golden evals in CI, MCP server. Live demo + public /eval.
LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.
AI evaluators CLI for your AI apps and Agents - Dynatrace AI Observability
Causal Judge Evaluation: calibrate LLM-as-judge scores against oracle labels with valid uncertainty.
A dependency-free Python genetic-algorithm engine with pluggable fitness criteria — the reusable search core for an LLM/AI autoresearcher.
HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.
Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"
Evidence-first multi-agent debate skill: get a second opinion by pitting Codex × Claude Code (or GLM/DeepSeek/Qwen) to independently review, red-team & judge high-stakes code and architecture decisions.
Diagnosing policy grounding in LLM judges via causal erasure. Companion code to the AIES 2026 submission READ.
Toward Expert-Level Medical Text Validation with Language Models
Production-grade Playwright + TypeScript QA framework with AI-powered testing, LLM-as-Judge evaluation, MCP server, 7 CLI agents, security fuzzing, CI/CD pipelines, Jira sync, and Slack reporting — zero-config, plug-and-play.
Open WebUI Logic Tree Multi-Model LLM Project - Advanced AI reasoning with Sakana AI's AB-MCTS and sophisticated multi-model collaboration
Observe an agent run and GroundEval drafts the policy and diagram for you, no hand-written policy required, then scores what it checked, what it skipped, and what it wasn't allowed to touch.
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning required.
Agentic Extensible Test Automation Framework
Practical LLM evaluation for teams that ship to production. Deterministic + LLM-as-judge evaluators, dataset support, CI/CD integration.
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