HEXFIRE — Break Your Agents Before Production

The Agentic Black Box: $4.8M is the average cost of a production AI failure because enterprises deploy non-deterministic agents blind. Traditional software fails predictably, but AI agents fail probabilistically. When an agent hallucinates a variable or fails to call a tool, it confidently carries that corrupted data downstream, infecting the entire pipeline. By the time anyone notices, the damage is done. The Solution: Deterministic Chaos Inspired by Netflix’s Chaos Monkey, HEXFIRE is the world's first Chaos Engineering platform purpose-built for autonomous AI agents. We deliberately break your agent workflows to show you exactly where they crumble. Instead of guessing, HEXFIRE lets you execute targeted strikes. You can inject 6 deterministic fault scenarios into any step of your pipeline: Hallucinations, Tool Timeouts, Adversarial Prompts, Context Corruption, Latency Spikes, and Permission Revocations. Technical Gravity (Beyond the Wrapper) Remove ALL LLM calls from HEXFIRE and you still have four custom, independent computer science systems. The AI enhances HEXFIRE; it doesn't define it: DAG Cascade Analysis: Agent pipelines are Directed Acyclic Graphs (DAGs). When a fault hits one node, HEXFIRE mathematically traverses the downstream edges to determine the "blast radius." Deterministic Resilience Scoring: We compute a hard, mathematical ★-to-★★★★★ safety rating based on Survival Rate and Fault Isolation. Cryptographic Proof: Every test execution is hashed into a SHA-256 tamper-evident compliance audit chain. Generative Forensics: Gemini 2.5 Flash analyzes the wreckage and generates an exportable forensic report explaining exactly what died and how to patch it. Sponsor Integration HEXFIRE utilizes Vultr Serverless Inference for ultra-low latency execution and massive concurrency during chaos testing spikes. We leverage Google Gemini 2.5 Flash for deep resilience analysis, forensic reporting, and robust 503 capacity fallback chains. Built solo by Shree Shah.