✓ Use when
Engineering teams running production agent systems that need debugging, cost control, and reliability analysis beyond generic LLM logs.
✗ Avoid when
Teams running simple prompt-response LLM apps — LangSmith or Langfuse are better for non-agent workflows.
What is AgentOps?
AgentOps is purpose-built observability for agent-based AI systems. It captures traces across agent runs, tracks token usage and latency per step, and surfaces failure modes that generic LLM observability tools miss (infinite loops, tool-use failures, planning errors). Integrates with CrewAI, LangChain, AutoGen, and custom frameworks via SDK.
Key features
✓Session replay for agent runs
✓Token and cost tracking per step
✓Failure mode detection (loops, stuck)
✓Tool-use and planning visualization
✓Multi-framework SDK support
Integrations
CrewAILangChainAutoGenOpenAI
💰 Real-world pricing
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