AgentOps
ActiveDescription
AgentOps is an observability platform for AI agents, providing monitoring, debugging, and evaluation to help developers optimize agent performance.
Key Features
- AI Agent observability platform with session replay and step-by-step execution graphs
- LLM cost management: track spending with foundation model providers
- Native integrations with CrewAI, AG2, LangGraph and other major agent frameworks
- Enable agent monitoring with just two lines of code
- Self-hostable deployment, MIT open-source license
Use Cases
💡 Agent development debugging: visualize execution paths to quickly identify issues
💡 Production monitoring: real-time tracking of agent performance and LLM calls
💡 Cost optimization: analyze LLM usage patterns to reduce API spending
💡 Agent evaluation: analyze agent behavior quality through session replays
Categories
Quick Start
pip install agentops && call agentops.init('<API_KEY>') in code and agentops.end_session('Success') at end