Qualifire AI Open-Sports Rogue: An Agent-to-Entent Age Ententic AEI test framework is designed to assess the performance, compatibility and reliability of AI ADERs

Agentic programs are highly subjective, context-specific, and policy-driven. QA-unit tests, encourage stal, or scalar “LLM-As-AAAAA-JURIGE” to reveal more risks and provide weak audit trails. Engineering teams need accurate protocol dialogs, clear policy checks, and machine-readable proofs they can issue with confidence.

Qualify AI is open – It's disgustinga Python framework for testing AI Agents over agent-to-agent (A2A) The protocol. Rogue transforms business policies into actionable scenarios, pulls multiple interactions in opposition to the target agent, and reports decisively relevant to CD/CD review and compliance.

Quick start

Requirements

• UVX – If not installed, follow the UV installation guide
• Python 3.10 +
• API key of the LLM provider (eg Opelai, Google, Anthropic).

Installation

Option 1: Quick Installation (Recommended)

Use our automatic installation script to get up and running quickly:

# TUI
uvx rogue-ai
# Web UI
uvx rogue-ai ui
# CLI / CI/CD
uvx rogue-ai cli

Option 2: Manual Installation

(a) Clone the repository:

git clone 
cd rogue

(b) to include dependencies:

If you use UV:

Or, if you're using PIP:

. Rogue uses lidellm, to set keys for various providers.

OPENAI_API_KEY="sk-..."
ANTHROPIC_API_KEY="sk-..."
GOOGLE_API_KEY="..."

Rogue run

Rogue works in a client-server architecture where Core Checkusaus Logic runs on Baclend Server, and various clients connect to it for different slots.

Default Behavior

When running UVX Rogue-AI without defined mode,:

1. Starts a virtual server in the background
2. Starts the TUI client (user terminal)

Types available

• Default (server + tui): UVX Rogue-AI – You start the server in the background + Tui Client
• The server: UVX Rogue-AI Server – only works as a bacsend server
• Tui: UVX Rogue-Ai Tui – Only works for Tui client (requires server running)
• Web UI: UVX Rogue-AI UI – runs only on the gradio Web Interface client (requires a running server)
• The digging is getting bigger: UVX Rogue-AI Cli – works with active Command-Line-Line analysis (requires server running, ready for CI / CD)

Mode arguments

Server mode

uvx rogue-ai server [OPTIONS]

Options:

• -Host Host – Host to run the server on (Default: 127.0.0.1 or Host Wenv Var)
• -Port Port – Port to forward the server to (Default: 8000 or Env V var)
• -DeBUG – Enable debug logging

TUI mode

uvx rogue-ai tui [OPTIONS]
Web UI Mode
uvx rogue-ai ui [OPTIONS]

Options:

• -rogue-server-URL URL – Rogue server URL (Default:
• -Port Port – The Port to Run The UI
• -Workdir function – Working directory (default: ./.Rogue)
• -DeBUG – Enable debug logging

Example: Testing a T-Shirt Store Agent

This last site features a simple example agent that sells t-shirts. You can use it to see if the rogue is in action.

Include examples of dependencies:

If you use UV:

or, if using PIP:

pip install -e .[examples]

(a) Start the example agent server in a different terminal:

If you use UV:

uv run examples/tshirt_store_agent

Otherwise:

python examples/tshirt_store_agent

This will start the agent in

(b) Configure the rogue in the UI to point to the instance agent:

• Agent URL:
• Authentication: None

(c) Run the test and watch T-Shirt Agent tests!

You can use either TUI (UVX Rogue-AI) or UVX Rogue-AI UI) Mode.

When it comes to rogue: practical use cases

• Safety and compatibility with durability: Ensure the management of PII / PHI, Disclosure Behavior, Privacy Expiration Prevention, and domain-controlled policies with proof-of-authority-anchored.
• IE-Commerce & Agents Supports: Emphasizing OTP-gited discounts, refund rules, SLA-WAZI disabilities, and the use of tools (Order Lookup, ticket management) under illegal and failure conditions.
• Developer / Develops Agents: Check mod-code and CLI features for tooltip blocking, rollback semantics, measurement of backoff behavior, and unsafe command blocking.
• Many Agent programs: Validate Planner↔executor contracts, power negotiations, and A2A compliant schema; examine interactions in heterogeneous lists.
• Recovery and Drift monitoring: Night suites are faced with good model types or quick changes; Find out the behavior of the disability and use the process that deals with the policy of passing the policy before the release.

What exactly is powerful – and why should they care about agent groups?

Rogue is an end-to-end testing framework designed to test the performance, compatibility and reliability of AI Agents. Rogue Synthesizes Business Context and Balken are structured exercises with clear objectives, strategies and processes for success. The ecoratoragent works with correct protocork conversations for single turns or deep paths to transform deep paths. Bring your own model, or let them use Spolue Slm's judges who want to drive tests. Stream Recognition and Coherence Materials: Live writing, pass / failure of disciplines, statistics tied to writing spans, time and type of version / model / version model.

Under the Hood: How a Rogue is Built

Rogue works on a client-server architecture:

• Rogue Server: It contains blocking logic
• Customer communication: Multiple connections connecting to the server:
  • Tui (UI terminal UI): A modern interface built with Go and Bubble Tea
  • Web UI: Grastio-based web interface
  • The digging is getting bigger: Line interface for automatic test and CD / CD

This regime allows dynamic deployment and usage patterns, where a server can operate independently and multiple clients can connect to it simultaneously.

To put it briefly

Rogue helps engineering teams test agent performance the way it actually works in production. It converts written policies into concrete conditions, applies those conditions over A2A, and records what happens with searchable documents. The result is a clear, repeatable signal that you can use in CI / CD to hold policy breaks and recoveries before shipping.

Due to the relevant group of thought leadership / resources for this topic. Qualifure team has endorsed this content / article.