# AgentOps vs Guardrails AI — Fit & Features

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

Compare AgentOps and Guardrails AI 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

### Guardrails AI
Validate LLM inputs and outputs using configurable guardrails.
Best fit: AI engineers testing agent quality and monitoring production behavior.
- Output validation
- Input checks
- Validator library
Before you choose: Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
Pricing: https://guardrailsai.com/
- [Read Guardrails AI profile](https://trutool.co/tools/guardrails-ai): Read Guardrails AI profile