Describe the roles of LangChain and LangSmith in developing and deploying Large Language Model (LLM) applications. LangChain is presented as an open-source framework providing components and abstractions to streamline building LLM applications, while LangSmith is highlighted as a complementary platform offering crucial tools for debugging, testing, evaluating, and monitoring these applications.

LangSmith helps move LLM prototypes to production by providing deep visibility into application behavior through tracing, enabling systematic evaluation against datasets, supporting prompt engineering and management, and offering monitoring features for live applications. The text also explores practical applications across industries, technical architecture, comparisons with other MLOps tools, implementation best practices, and essential security and ethical considerations for LLM development with LangSmith.