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Description

Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.

Description

Support for ChatGPT and LangChain is now natively integrated, with additional platforms like Bing and HuggingFace on the horizon. You can either manually input your API documentation or import it using an existing OpenAPI specification. Gain insights into the request prompt, parameters, headers, body, and other relevant data. Furthermore, you can monitor comprehensive live metrics regarding your plugin's performance, such as latencies and errors. Tailor your own dashboards to track funnels and aggregate various metrics for deeper analysis. This functionality empowers users to optimize their systems effectively.