Generated by Gemini:LangSmith is a platform for testing, evaluating, and monitoring Large Language Model (LLM) calls from Generative Apps. It is developed by LangChain, the company behind the popular open-source LangChain framework for building with LLMs.
LangSmith provides a number of features that can help developers to improve the quality and reliability of their LLM applications, including:
- Performance testing: LangSmith can be used to test the performance of LLM applications under load. This can help developers to identify and fix bottlenecks in their applications.
- Error detection: LangSmith can be used to detect errors in LLM calls. This can help developers to improve the robustness of their applications.
- Monitoring: LangSmith can be used to monitor the performance of LLM applications in production. This can help developers to identify and troubleshoot problems before they cause outages or impact users.
LangSmith is a valuable tool for developers who are building LLM applications. It can help them to improve the quality, reliability, and performance of their applications.
Here are some examples of how LangSmith is being used by developers today:
- A large e-commerce company is using LangSmith to test the performance of its product recommendation engine. The company is using LangSmith to ensure that the engine can handle a high volume of requests without impacting performance.
- A financial services company is using LangSmith to detect errors in its risk assessment models. The company is using LangSmith to ensure that the models are generating accurate and reliable results.
- A healthcare provider is using LangSmith to monitor the performance of its chatbot. The provider is using LangSmith to ensure that the chatbot is responding to user queries quickly and accurately.
Overall, LangSmith is a powerful tool that can help developers to improve the quality, reliability, and performance of their LLM applications.