Tools: Balagan Agent 🌪️ Chaos Engineering for AI Agents

What is Balagan Agent? ## Why chaos engineering for agents? ## Current integrations ## Who is this for? ## Launching on Product Hunt AI agents don’t usually fail because the model is “bad”. They fail because the real world is chaotic. 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: https://www.producthunt.com/products/balagan-agent Balagan Agent is an open-source chaos-engineering tool for AI agents. Instead of testing 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: Reports are generated in terminal, JSON, Markdown, or HTML, so you can plug them into CI or review them manually. Traditional software already learned this lesson: systems don’t fail because of code alone — they fail because of interactions. AI agents multiply that problem: If you don’t actively stress them, you’re shipping unknown risk. Balagan makes those risks visible before users find them. Balagan Agent works as a lightweight wrapper around popular agent frameworks, including: It’s framework-agnostic by design — you bring your agent, Balagan brings the chaos. This tool is for you. It’s free, open source, and meant to evolve with the agent ecosystem. We launched today on Product Hunt and would love feedback from people actually building agents: 👉 https://www.producthunt.com/products/balagan-agent Questions, criticism, ideas for new failure modes — all welcome. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse COMMAND_BLOCK: pip install balagan-agent Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: pip install balagan-agent COMMAND_BLOCK: pip install balagan-agent - APIs time out - Tools return partial or malformed responses - Context degrades after a few iterations - Budgets get exhausted - Latency spikes at the worst moment - tool timeouts - rate limits - corrupted context - malformed outputs - latency spikes - budget exhaustion - recovery behavior - reliability score - non-deterministic behavior - long-running loops - external tools everywhere - hidden failure modes - Claude Agent SDK - Examples for AutoGen and LangChain - building AI agents for real users - running agents in CI/CD or production - caring about reliability, not just demos