AgentOps
used in
0
stacks
Python SDK and hosted platform for monitoring, debugging, and cost-tracking AI agents.
Captures step-by-step session replays and execution graphs of agent runs, with LLM cost tracking across providers. Offers native integrations for agent frameworks including CrewAI, AG2, the OpenAI Agents SDK, LangChain, and LiteLLM, using a decorator-based instrumentation model. The SDK is MIT licensed; data is viewed in the hosted dashboard at app.agentops.ai.
Strengths
- Session replays and execution graphs purpose-built for agent debugging
- Broad agent-framework integrations (CrewAI, AG2, OpenAI Agents SDK, LangChain)
- LLM cost tracking across foundation model providers
- MIT-licensed SDK with low-code decorator instrumentation
Tradeoffs
- Dashboard is a hosted closed-source service, so traces leave your infrastructure
- Smaller ecosystem and community than general LLM observability platforms