Balagan Agent 🌪️ Chaos Engineering for AI Agents

Source: Dev.to

Overview

AI agents don’t usually fail because the model is “bad”.
They fail because the real world is chaotic:

• APIs time out
• Tools return partial or malformed responses
• Context degrades after a few iterations
• Budgets get exhausted
• Latency spikes at the worst moment

Most agents look great in local demos and unit tests — and then quietly break in production.
That’s the gap we built Balagan Agent to address.

👉 Product Hunt launch:

What is Balagan Agent?

Balagan Agent is an open‑source chaos‑engineering tool for AI agents.
Instead of testing only the happy path, it intentionally breaks your agent in controlled ways and measures how well it recovers.

You wrap your existing agent, define failure scenarios, and Balagan injects things like:

• tool timeouts
• rate limits
• corrupted context
• malformed outputs
• latency spikes
• budget exhaustion

It then measures:

• recovery behavior
• MTTR (Mean Time To Recovery)
• reliability score

Reports are generated in terminal, JSON, Markdown, or HTML, so you can plug them into CI or review them manually.

Why chaos engineering for agents?

Traditional software already learned this lesson: systems don’t fail because of code alone — they fail because of interactions.
AI agents multiply that problem:

• non‑deterministic behavior
• long‑running loops
• external tools everywhere
• hidden failure modes

If you don’t actively stress them, you’re shipping unknown risk.
Balagan makes those risks visible before users find them.

Current integrations

Balagan Agent works as a lightweight wrapper around popular agent frameworks, including:

• CrewAI
• Claude Agent SDK
• Examples for AutoGen and LangChain

Install via:

pip install balagan-agent

It’s framework‑agnostic by design — you bring your agent, Balagan brings the chaos.

Who is this for?

If you are:

• building AI agents for real users
• running agents in CI/CD or production
• caring about reliability, not just demos

This tool is for you.
It’s free, open source, and meant to evolve with the agent ecosystem.

Launching on Product Hunt

We launched on Product Hunt and would love feedback from people actually building agents:

👉

Questions, criticism, ideas for new failure modes — all welcome.