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Sentrial

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Production monitoring for AI agents with automated failure detection and diagnosis

Sentrial monitors AI agents in production, automatically detecting failure patterns like loops, hallucinations, tool misuse, and user frustration signals in real-time. It diagnoses root causes by analyzing conversation patterns, model outputs, and tool interactions, then recommends specific fixes. Integrates via Python SDK with support for OpenAI, Anthropic, Gemini, LangChain, and CrewAI.

Pricing: Free trial

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Pricing Freemium, from Free trial

HQ 🇺🇸 United States

Founded 2025

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What Sentrial does

Sentrial is production monitoring infrastructure for AI agents. It detects failure patterns in real-time, including infinite loops, hallucinations, tool misuse, and user frustration signals, then diagnoses root causes by analyzing conversation patterns, model outputs, and tool interactions.

Key features

The platform offers time-travel debugging that lets you replay any agent state at any point in execution history, stepping forward and backward through decisions. A branching feature creates test branches from any execution step, so you can evaluate alternative prompts or tools side-by-side against the original path. Teams can mark tool calls as correct or incorrect in context, and Sentrial learns those patterns for future detection.

Integration and setup

Sentrial integrates via a Python SDK (MIT-licensed, available on PyPI) with a zero-config callback handler that auto-tracks tools, LLM calls, and state. It works with LangChain, OpenAI, Anthropic, Gemini, AutoGen, and CrewAI. An MCP server is also available for Claude Code integration.

Pricing and background

Sentrial offers a free tier with no credit card required. The company is part of Y Combinator W26, founded in 2025 by two UC Berkeley CS graduates. One co-founder previously worked on agentic optimization at Sense, the other deployed DevOps agents at Accenture. Based in San Francisco.