AgentOps vs Langfuse

Pick two tools from the same category to compare side-by-side.

	AgentOps Python SDK and hosted platform for monitoring, debugging, and cost-tracking AI agents.	Langfuse Open-source LLM observability, eval, prompt mgmt.
Category	observability	observability
Vendor type	hybrid	open source
Pricing	freemium	freemium
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	+ Open source; full self-host option + Broad coverage (trace + eval + prompts) + Provider-agnostic
Tradeoffs	− Dashboard is a hosted closed-source service, so traces leave your infrastructure − Smaller ecosystem and community than general LLM observability platforms	− Self-host adds ops burden vs SaaS
Used in stacks	0	4