Sentrial

Sentrial is an AI agent observability platform that monitors production agent behavior, detects silent regressions and drift, and helps engineering teams diagnose and fix issues without leaving the platform. It wraps your existing LLM client with just a few lines of code, automatically capturing sessions, tool calls, token usage, latency, and costs. Unlike traditional observability tools that only show what happened, Sentrial uses AI to identify root causes and surface actionable fixes — including GitHub PR creation — from one unified workflow.

• Real-time trace streaming — Watch every agent interaction live, including LLM calls, tool usage, and user messages, with full request/response logging.
• Automatic issue detection — AI scans sessions for task failures, user frustration, hallucinations, slow responses, context overflows, and more — no manual tagging required.
• AI root cause analysis — Click any flagged issue to get an AI-generated diagnosis explaining why something is failing, not just that it failed.
• Prompt patching — Hot-reload prompt changes directly in production without redeployment, and track version diffs.
• Code integration — Connect your GitHub repository, chat with AI about issues, review diffs, and create PRs — all from within Sentrial.
• Token & cost tracking — Automatically capture token usage and per-session costs across all LLM providers.
• Drift & regression detection — Continuously monitor for behavioral drift across sessions and alert before users notice degradation.
• PII redaction — Built-in PII redaction to protect sensitive user data in traces.
• Multi-framework support — Works with OpenAI, Anthropic, Google, LangChain, and CrewAI out of the box.
• Quick setup — Install via pip install sentrial, wrap your OpenAI client, and get full monitoring in three lines of code.