liveBook · Manning

LangSmith project

As explained in AI Agents and Applications

A LangSmith project is a collection of execution traces associated with an application or part of an application.

A LangSmith project groups the execution traces produced by an application or one part of it. For a Q&A chatbot, the project collects notebook runs so you can inspect them together in the LangSmith dashboard. section 7.5

Configure and inspect a project through a short operational workflow:

  • Create a LangSmith API key and store it securely. section 7.5
  • Set tracing, endpoint, project, and API-key environment variables before starting the notebook. section 7.5
  • Open Projects in LangSmith, select the project, and review traces ordered by execution time. section 7.5

How AI Agents and Applications covers it

How deep it goes
Explains project grouping, environment setup, and dashboard inspection, but stops short of detailing trace internals.
Examples
Uses a Q&A chatbot project whose traces are created by rerunning a Jupyter Notebook.
What it assumes
Assumes a LangSmith account, API key, and running notebook; teaches project association through environment configuration.
What you can do after
Diagnose application executions by configuring LangSmith tracing and inspecting project traces in its dashboard.
How it connects
Connects projects with execution traces, LangSmith tracing, Q&A chatbots, and Jupyter Notebook runs.
Cover of AI Agents and Applications
liveBookmanning.com
Read AI Agents and Applications on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI Agents and Applications. The section links point to the parts of the book it draws on.