kazenai

KazenAI offers reliability infrastructure designed for autonomous AI agents, focusing on preventing costly failures and improving observability in production environments. The platform addresses challenges such as runaway agent costs, undetected infinite loops, and the difficulty of debugging non-deterministic agent behavior. It provides framework-agnostic, low-latency integration with an in-process architecture that avoids proxies and vendor lock-in.

The platform is built on a shared open-source core, kazenai-core, and consists of two main products: Agent FinOps and AgentLens. Agent FinOps delivers pre-emptive cost control for AI agents, featuring a cost circuit-breaker that pauses agents while preserving their state, including memory, tool history, and pending actions. It offers per-step cost interception, predictive trajectory for projected costs, and a multi-agent attribution graph that traces spending back to individual user requests. Anomaly loop detection is implemented using a streaming Deep Isolation Forest model, which identifies loops based on rising costs and similarity between consecutive outputs.

AgentLens provides probabilistic debugging capabilities by capturing step-level traces of agent reasoning, including tool and model calls, decision branches, latency, and cost, with PII-redacted inputs. Its Probabilistic Replay Engine allows for re-running traces multiple times to analyze outcome distributions, step-level entropy, and sources of variance. Additional features include semantic drift monitoring to detect model or prompt degradation, and regression detection to flag statistically significant changes after model updates.

KazenAI integrates with existing agent frameworks through minimal code changes—typically three lines—and operates entirely in-process, adding approximately 50ms of latency. Data remains within the user's infrastructure by default, supporting local SQLite for development and DynamoDB or Postgres for production, with privacy features built on AWS Nitro Enclaves. 0 license, and both products can be adopted independently or together with shared, zero-reconfiguration data. KazenAI is positioned as a reliability and observability solution for organizations deploying autonomous AI agents at scale, aiming to address failure modes that traditional observability tools cannot.