# AgentOps vs LangSmith — Fit & Features

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

Compare AgentOps and LangSmith 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

### LangSmith
Observe, evaluate, and deploy AI agents across supported frameworks.
Best fit: AI engineers testing agent quality and monitoring production behavior.
- Agent tracing
- Evaluation workflows
- Agent deployment
Before you choose: Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
Pricing: https://www.langchain.com/pricing
- [Read LangSmith profile](https://trutool.co/tools/langsmith): Read LangSmith profile