LangSmith is an exceptional AI-powered platform that streamlines the entire lifecycle of LLM-powered applications. This platform provides essential tools for debugging, testing, collaboration, and monitoring.
LangSmith enables developers to get complete visibility into their app’s behavior, which helps them detect errors, optimize performance, and refine models through an iterative process. It offers a collaborative feature, which allows developers and experts to work together seamlessly.
LangSmith supports dataset creation, trace sharing, and annotation queues to enhance explainability and improve AI model evaluation. It also provides robust testing and evaluation capabilities, including AI-assisted assessments that check for relevance, correctness, and potential risks.
| LangSmith Review Summary | |
| Performance Score | A+ |
| Interface | Excellent |
| AI Technology | LLM Debugging & Trace Analysis, AI-Assisted Evaluation Models |
| Purpose of Tool | LangSmith simplifies the development, testing, and monitoring of LLM-powered applications. |
| Compatibility | Desktop Computers, Laptop |
| Pricing | Free with Paid Starts at $39/Month. |
Who is best for using LangSmith?
- AI Developers & Engineers: It is perfect for those building and maintaining LLM-powered applications.
- Enterprises & Startups: LangSmith is helpful for businesses developing AI-driven products like chatbots, assistants, or automation tools.
- AI & ML Researchers: Useful for those analyzing, fine-tuning, and optimizing AI models for performance and reliability.
- Data Scientists: Helps in dataset management, model evaluation, and ensuring AI accuracy.
- Software Development Teams: LangSmith supports debugging, collaboration, and monitoring of LLM-based applications.
LangSmith Key Features
| Full Visibility Debugging | Chain Trace Sharing | Annotation Queues |
| Dataset Management | Auto-Evaluation | Regression Testing |
| Online Evaluation | Cost and Latency Tracking | Real-Time Performance Insights |
Is LangSmith Free?
Yes, the platform offers a free plan for users who want to start their adventure solo, and you will get the following limited features.
- Free for 1 user
- 5k traces per month included pay as you go there after
- 1 Developer seat
- Debugging traces
- Dataset collection
- Testing and evaluation
- Prompt management
- Monitoring
Startup Plan
The plan is designed for early-stage startups building AI applications. LangSmith for Startups offers discounted prices and a generous free monthly trace allotment, so you can have the right tool in place as you grow your business. You can contact them or book a demo for further information.
Plus Plan
At $39/Month, the plan is helpful for developers and large teams who want to explore the advanced features of this tool.
- Up to 10 seats
- Higher rate limits
- Email support
- 10k traces per month included, pay as you go thereafter
Enterprise Plan
LangSmith offers a customized plan for teams with more security, development, and support needs. The price of the plan depends on your needs and scale.
- Custom Single Sign On (SSO)
- SLA
- Self-hosted deployment options
- Custom rate limits
- Team trainings
- Shared Slack channel
LangSmith Pros and Cons
Pros
- Covers everything from development and debugging to evaluation and monitoring.
- Enables teamwork between developers and domain experts through trace sharing.
- Offers AI-assisted evaluations, regression testing, and dataset management.
- Helps track latency, anomalies, and expenses for optimized performance.
Cons
- Advanced debugging and evaluation require experience with LLM workflows.
- Less suitable for general AI or ML projects outside of LLM development.
FAQs
Does LangSmith support non-Python or TypeScript applications?
Yes, it can be used with various LLM applications, regardless of programming language.
Where is LangSmith’s data stored?
Data storage depends on your hosting choice; self-hosting keeps data in your own environment.
What information is in LangSmith traces?
Traces contain input/output sequences, metadata, and evaluation details for debugging.
