chatbot-testing

MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.

Library for Microsoft Bot Framework Chatbot unit testing

Sub-second RAG regression testing. Define golden questions, detect lost chunks in CI. pytest for your RAG pipeline.

EvalBot — local-first chatbot security & quality evaluation (FastAPI + Next.js). Evaluate chatbot answers against your own docs & guidelines with ML/NLP + AI-judge scoring. Apache-2.0.

Conversation tests for AI agents: a simulated user talks to your agent through its API, a judge checks every claim, and convy reports pass rate, tokens, time and what changed between builds.

pytest lab for testing LLMs: RAG eval, red teaming, guardrails, drift monitoring — 14 modules, 382 tests, zero API calls needed

An automated approach for exploring and testing conversational agents using large language models. TRACER discovers chatbot functionalities, generates user profiles, and creates comprehensive test suites for conversational AI systems.

A Python library to connect and interact with chatbots.

Automated acceptance tests for HTTP and n8n chatbots: catch broken answers in CI.

QA framework for testing conversational AI systems (LLM agents, chatbots, voice assistants) with workflow validation and regression checks

An open-source framework for robust, LLM-powered testing and tracing of conversational AI applications.

A framework for testing LLM-based chatbots in regulated industries (telco, banking, insurance). Covers hallucination detection, prompt injection resistance, response quality scoring and regression testing.

A plug & play framework for generative ai projects to be tested & automated

UI for persona-api

Bilingual portfolio project for evaluating chatbot helpfulness, accuracy, tone, safety, and instruction following.

Layered evaluation of two LLM features, a RAG support assistant and ticket triage: rules, reference checks, an LLM judge validated against human labels, safety cases, stability and a regression gate in CI, replayed from real recorded calls.

A Node.js testing framework for ChatBots

Deterministic hosted and customer-executed local testing for AI agents

Quality auditor for AI chatbots. Analyzes your conversation logs to show where the bot is underperforming.

Modular, extensible QA framework for evaluating AI chatbots — built for CI/CD pipelines, model comparison, and continuous quality monitoring.