Library/agentops
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AgentOps-AI/agentops

agentops

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, AG2, and CamelAI

Builder

AgentOps-AI

AgentOps-AI

AgentOps-AI • individual

Stars

5,426

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Forks

557

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Aug 15, 2023

Project creation date

README Summary

AgentOps is a Python SDK designed for comprehensive AI agent monitoring and analytics. It provides LLM cost tracking, performance benchmarking, and observability tools for AI applications. The platform integrates seamlessly with popular agent frameworks and LLM providers to give developers insights into their AI systems.

AI Dev Skills

Unmapped

AI Agent DevelopmentLLM Integration and OrchestrationMachine Learning Operations (MLOps)AI System ObservabilityMulti-Agent SystemsLLM Cost OptimizationAI Application Performance MonitoringAgent Framework Integration

Tags

AI Agent DevelopmentLLM Integration and OrchestrationMachine Learning Operations (MLOps)AI System ObservabilityMulti-Agent SystemsLLM Cost OptimizationAI Application Performance MonitoringAgent Framework IntegrationSelf-hostedDeveloper ToolsLLM Cost Tracking and OptimizationProduction AI System MonitoringTextAI Application ObservabilityOn-premiseAI Agent Performance MonitoringAI ObservabilityMulti-Agent System DebuggingMLOps for LLMsAgent Framework Integration TestingAgentic AICloud APIPython

Taxonomy

Recent Activity

Updated 5 months ago

7 Days

0

30 Days

0

90 Days

0

Quality

beta
Quality
high
Maturity
beta

Categories

Foundation ModelsPrimaryObservability & MonitoringML Platform & InfrastructureOther AI / MLMLOps & InfrastructureDev Tools & AutomationAI Agents

PM Skills

Product DiscoveryUser Experience

Languages

Python100.0%

Timeline

Project created
Aug 15, 2023
Forked
Mar 12, 2026
Your last push
5 months ago
Upstream last push
25 days ago
Tracked since
Oct 30, 2025

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