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AgentOps-AI/agentops

A Python SDK and platform providing comprehensive observability, monitoring, and evaluation tools for AI agents, from prototype to production.

Core Features

Step-by-step agent execution graphs for replay analytics and debugging

LLM cost tracking and management across foundation model providers

Native integrations with popular AI agent frameworks like LangChain, CrewAI, and AutoGen

Benchmarking capabilities for AI agent performance

Self-hosting option for private cloud deployment

Quick Start

pip install agentops

Detailed Introduction

AgentOps is an open-source Python SDK and observability platform designed to empower developers in building, evaluating, and monitoring AI agents. It offers critical functionalities such as detailed step-by-step execution replays for debugging, comprehensive LLM cost tracking, and performance benchmarking. With native integrations across major AI agent frameworks like LangChain, CrewAI, and AutoGen, AgentOps streamlines the development lifecycle, ensuring agents are efficient, cost-effective, and performant from initial prototyping through to production deployment.