Eplaneta Patike Python SDK for AI agent monitoring LLM cost tracking benchmarking and more Integrates with most LLMs and agent frameworks including CrewAI Agno OpenAI Agents SDK Langchain Autogen
AgentOps short for agent operations is an emerging set of practices focused on the lifecycle management of autonomous AI agents AgentOps brings together principles from previous The Essential Guide to AgentOps The Essential Framework for Reliable Cost Effective and Scalable AI Agents we ve witnessed a surge in LLMs SLMs and other generative models that
Eplaneta Patike
Eplaneta Patike
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AgentOps is the developer favorite platform for testing debugging and deploying AI agents and LLM apps AgentOps Accelerator is an open source framework and CLI for adding continuous evaluation and observability to enterprise AI agents It standardizes evaluation patterns automates assessments in
AgentOps The Operating System for AI Agents Executive Summary What it is AgentOps is the discipline for running AI agents like accountable digital teammates not ad hoc AgentOps Platform provides the infrastructure layer for operating AI agents at scale including the agent registry identity system observability stack and HITL workflows discussed in this guide
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The Agent optimization assistant AgentOps introduces a conversational interface that establishes a complete evaluate optimize deploy loop for agents It eliminates fragmented workflows by AgentOps agent operations is a framework of tools for monitoring the brain of an AI as it makes decisions in real time
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https://github.com › AgentOps-AI
Python SDK for AI agent monitoring LLM cost tracking benchmarking and more Integrates with most LLMs and agent frameworks including CrewAI Agno OpenAI Agents SDK Langchain Autogen
https://www.ibm.com › think › topics
AgentOps short for agent operations is an emerging set of practices focused on the lifecycle management of autonomous AI agents AgentOps brings together principles from previous
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Eplaneta Patike - AgentOps Platform provides the infrastructure layer for operating AI agents at scale including the agent registry identity system observability stack and HITL workflows discussed in this guide
