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LangSmith

LangSmith is a developer platform for tracing, debugging, testing, evaluating, and monitoring applications built with language models and AI agents.

How 2 Manning books explain it

Grokking AI Applications

LangSmith is a development and monitoring platform for tracing, evaluating, and debugging language-model applications.

How it is used
Supports observability, debugging, and improvement of language-model applications, especially agents coordinating multiple tools.
How deep it goes
Explains setup, environment configuration, trace inspection, and practical debugging, but does not detail LangSmith internals.
Examples
Uses the HungryTraveler agent, travel and recipe tools, email delivery, and a LangSmith execution trace.
What you can do after
Diagnose/debug with it by inspecting an agent’s traced tool calls and identifying workflow behavior.

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AI Agents and Applications

LangSmith is a development and observability platform for tracing, debugging, evaluating, monitoring, and refining language-model applications.

How it is used
Traces Q&A chains and tool-based agents so developers can inspect execution, troubleshoot deviations, and monitor LLM applications.
How deep it goes
Walks through tracing configuration and trace inspection; describes evaluators, datasets, and production feedback without a worked evaluation procedure.
Examples
Uses a document Q&A chatbot trace and an agent trace showing LLM calls, tool invocations, and message flow.
What you can do after
Operate/configure it to capture runs and inspect Q&A or agent execution when behavior differs from expectations.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.