# AgentOps vs OpenLIT — Fit & Features

Canonical: https://trutool.co/compare/agentops-vs-openlit
Author: Snehil (https://trutool.co/authors/snehil)

Compare AgentOps and OpenLIT by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### 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.
Best fit: People and teams evaluating ai evaluation & observability for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read AgentOps profile](https://trutool.co/tools/agentops): Read AgentOps profile

### OpenLIT
Instrument AI applications using open-source OpenTelemetry observability.
Best fit: AI engineers testing agent quality and monitoring production behavior.
- LLM observability
- Cost tracking
- OpenTelemetry integration
Before you choose: Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
Pricing: https://openlit.io/pricing
- [Read OpenLIT profile](https://trutool.co/tools/openlit): Read OpenLIT profile