📄️ AI Configuration & BYOK
The AI Quality Orchestrator is a suite of seven opt-in AI features. This page explains how to enable features and configure your LLM provider, including how to supply your own API keys.
📄️ Auto-Bug Generator
Automatically generate a structured, Jira-ready bug report from a failed execution's logs — with a single click.
📄️ Flakiness Detective
Analyze a test group's execution history to detect flaky tests and receive actionable recommendations — powered by AI.
📄️ Smart Test Optimizer
Convert selected test cases into clean, standardized BDD (Behavior-Driven Development) steps — with duplicate detection, edge-case suggestions, and a Dual-Agent validation pass to ensure quality.
📄️ Smart PR Routing
Automatically trigger targeted test runs when code is pushed to your repository — routing only the relevant test folder based on the changed files.
📄️ Quality Chatbot (Ask AI)
Ask natural-language questions about your test data and receive instant answers with optional inline charts — no SQL or query language required.
📄️ Spec-to-Test Generation
Upload a product requirements document (PRD), specification, or design brief and let Agnox automatically generate a structured library of draft test cases — ready to review, edit, and import into your suite.
📄️ Automation Planner
The Automation Planner (Phase 6 of the AI Quality Orchestrator) bridges the gap between manual QA work and automation engineering. It analyses your existing manual test case library, assigns risk-based priority scores, and generates a copy-paste-ready Markdown automation strategy document formatted for direct use in Cursor, GitHub Copilot, or any IDE AI assistant.