Summary LangSmith Launch - YouTube (Youtube) www.youtube.com
8,637 words - YouTube video - View YouTube video
One Line
LangSmith is a comprehensive platform that integrates with Lang chain and offers debugging, testing, monitoring, and evaluating capabilities for L applications, providing users with a TypeScript and Python SDK and the ability to set environment variables for the LangSmith client.
Slides
Slide Presentation (9 slides)
Key Points
- LangSmith is a unified platform for debugging, testing, monitoring, and evaluating L applications.
- It can be integrated with Lang chain and offers a TypeScript and Python SDK for connecting applications with LangSmith.
- The platform provides comprehensive documentation.
- LangSmith Launch is a collaborative debugging tool that allows users to share and troubleshoot issues with their Agents or chains.
- LangSmith supports human feedback and allows users to attach a feedback button to their applications.
- Users can integrate their Prometheus metrics into the platform.
- LangSmith aims to be flexible when exporting data to other platforms.
Summaries
38 word summary
LangSmith is a unified platform for debugging, testing, monitoring, and evaluating L applications. It integrates with Lang chain, offers a TypeScript and Python SDK, and has comprehensive documentation. Users can set environment variables to use the LangSmith client.
41 word summary
LangSmith is a unified platform for debugging, testing, monitoring, and evaluating L applications. It offers integration with Lang chain and provides a TypeScript and Python SDK. The platform has comprehensive documentation. Users can set environment variables to use the LangSmith client,
397 word summary
LangSmith is a unified platform that helps developers debug, test, monitor, and evaluate their L applications. It can be integrated with Lang chain, but it also offers a TypeScript and Python SDK for connecting applications with LangSmith. The platform provides comprehensive documentation
To use the LangSmith client, users need to set a few environment variables, including the Link chain tracing v2. The client is responsible for logging all agent runs, and multiple runs can occur concurrently. The user can view the progress of these runs
The LangSmith Launch video on YouTube discusses the importance of understanding the inner workings of code before the final prompt is assembled. The video showcases the metadata feature, which helps users understand how they are utilizing their external model API. It also explains how users can
LangSmith Launch is a collaborative debugging tool that allows users to share and troubleshoot issues with their Agents or chains. Users can click "share run" to share their code and get insights from others. LangSmith also features a dataset functionality where users can
The run details page shows the input, output, and reference output of a triggered run. The header indicates which example the run was created with. Multiple runs can be associated with one example. Evaluators are used to assign feedback to the run. The
LangSmith Launch is discussed in this YouTube video excerpt. The speaker mentions that there are plenty of examples in the documentation for reference. They also address questions about how to get an invite code and how to use it. There are separate waitlists for open
When using LangSmith, the runs show up the same way regardless of whether you are using different types of models or not using Language Chain. The runs are grouped into distinct categories and nested accordingly. If you are not using Language Chain, you need to
LangSmith is focused on making it easy for users to apply columns to their own applications. They want to create a library of evaluation metrics that users can utilize with their own data. LangSmith supports human feedback and allows users to attach a feedback button to
LangSmith is a tool that allows users to integrate their Prometheus metrics into the platform. While LangSmith has a structured and opinionated approach to logging, it aims to be flexible when it comes to exporting data to other platforms. The goal is to provide
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Source: https://www.youtube.com/watch?v=odxlHNLWAk4
Page title: LangSmith Launch - YouTube
Meta description: Sign up for LangSmith: https://smith.langchain.com/