A new kind of application developer platform is called LangSmith. For sophisticated Language Model (LLM) applications, it provides characteristics like observability, testing, evaluation, and monitoring tools.
The platform offers an open-source SDK that is adaptable and agnostic, making it simple to integrate and modify for various implementations. By including observability and testing into their LLM programs, developers can use LangSmith to see inputs and outputs at any stage of the process.
This aids in their comprehension of LLM behavior and develops their intuition for making more complex applications. Additionally, the platform makes it easier for developers to do unit tests on LLM apps by enabling them to spin up test datasets, execute their programs, and examine the outcomes inside the LangSmith environment.
Features including collaboration, adhering to best practices, dataset curation, chain performance comparison, and AI-assisted evaluation are supported. Additionally, LangSmith offers application-level usage statistics, feedback gathering, filtered traces, cost and performance analysis, and mission-critical observability.
With LLMs’ stochastic nature, this aids developers in tracking and comprehending the behavior of their apps in real time. The goal of LangSmith is to provide developers confidence when creating and implementing LLM applications.
It provides developers with a collection of tools as well as established best practices. Software engineers working on LLM applications, community members, and open-source contributors can all benefit from the platform.
LangSmith can be accessed by registering for the beta version or completing an early access form for community members and open-source contributors.
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