The Agent Reliability Engine
Chaos Engineering for Production AI Agents
Other tools test if your agent gives good answers. Flakestorm tests if your agent survives production.
Built for production-grade agents. Open source • No signup • How It Works
Why Flakestorm exists
Production agents depend on LLM APIs, tools, and context — any of which can fail. Evals test output quality. Observability tells you after something broke. No tool deliberately breaks your agent's environment to test whether it still obeys its rules and recovers. Flakestorm does: chaos, behavioral contracts, replay of prod incidents, and adversarial inputs — so you catch failures before users do.
Read the full problem →Four pillars
Chaos, contracts, replay, adversarial inputs. One platform.
Environment Chaos
Inject faults into tools and LLMs — timeouts, errors, rate limits.
Does the agent handle bad environments?
Learn more →Behavioral Contracts
Invariants × chaos matrix. Verify rules when the world breaks.
Does the agent obey its rules under every failure mode?
Learn more →Replay Regression
Import production failures. Replay as deterministic tests.
Did we fix this incident?
Learn more →Adversarial Inputs
24 mutation types. Bad inputs and bad environments together.
Does the agent handle bad inputs and bad environments?
Learn more →"Flakestorm catches robustness failures evals miss through input mutations, revealing hidden vulnerabilities before production."
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Production-first. Open source proves the value; cloud delivers at scale — including Resilience Certificate export for compliance and audits (e.g. EU AI Act).