LangSmith

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Build and deploy LLM apps with confidence. A unified platform for debugging, testing, evaluating, and monitoring.0
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What is LangSmith?

LangSmith is an all-in-one developer platform that simplifies the creation and deployment of LLM (Large Language Model) applications. It offers features like real-time error debugging, dataset testing, application observability, prompt management, and collaboration tools. LangSmith helps developers build robust LLM applications with confidence.


Key Features:

1. 🐞 Debug: Gain full visibility into the chain sequence of calls in your LLM application to identify errors and unexpected results in real-time. Benefit from nested traces, prompt-level visibility, real-time insights, and a playground mode for testing and evaluation.

2. 🧪 Test: Use LangSmith's test datasets to evaluate the performance of your LLM application without leaving the platform. Curate datasets, evaluate chain performance with AI assistance, and easily benchmark different models.

3. 👀 Monitor: Ensure mission-critical observability for your LLM application by monitoring its usage stats at an application level. Collect feedback from users through filterable traces, measure costs associated with prompts or chains, and compare performance across different models.


Use Cases:

1. Improve Application Reliability: With LangSmith's debugging capabilities and real-time insights into chain sequences, developers can quickly identify errors in their LLM applications during development or production stages.

2. Streamline Testing Process: By providing test datasets and AI-assisted evaluation features, LangSmith enables efficient testing of LLM applications' performance before deployment.

3. Enhance Collaboration: LangSmith facilitates cross-team collaboration by offering a prompt playground where teams can refine prompts together while capturing feedback effectively.


Conclusion:


LangSmith empowers developers to confidently build robust LLM applications by providing essential tools for debugging errors in real-time, evaluating performance through comprehensive testing options using curated datasets or benchmarks comparisons between models as well as facilitating effective collaboration among team members throughout the development process.

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More information on LangSmith

Launched
2019-12-03
Pricing Model
Free
Starting Price
Global Rank
28170
Follow
Month Visit
2M
Tech used
Google Analytics,Google Tag Manager,Framer,Google Fonts,HSTS

Top 5 Countries

17.4%
14.77%
10.77%
5.94%
3%
United States India China Korea, Republic of Pakistan

Traffic Sources

55.84%
37.55%
5.47%
0.95%
0.14%
0.05%
Search Direct Referrals Social Paid Referrals Mail
LangSmith was manually vetted by our editorial team and was first featured on 2023-07-20.
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