Blogsby GlyphNew in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and more
LangChain announced new updates to LangSmith. Updates include Engine v2 with red teaming and automatic testing, a new version of Managed Deep Agents, trajectories and more.
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Fri Sep 253 posts
LangSmith Custom Apps: Build custom interfaces around your agent data
LangSmith Custom Apps lets you build the interface you want with your LangSmith data, publish it into your workspace, and skip the hosting, auth, and permissions work. Learn more.
Building Production Agents with Jev and LangGraph
See how LangGraph orchestrates Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.
Thu Sep 244 posts
Trajectories now in LangSmith: A readable view of every agent session
Trajectories in LangSmith provide a conversational view of an agent session. Trajectories make trace data easy to navigate and speed up debugging for long-running agents.
Managed Deep Agents delivers a better user experience for agents in production
Managed Deep Agents is the simplest way to build, deploy, and run agents in production. The 0.8 release adds support for user-owned credentials, user-level memory, HTTP channels, file transfer in Slack and a pre-built tool for web search.
Introducing LangSmith Fine-Tuning
LangChain introduces LangSmith Fine-Tuning and SmithTune, a CLI built for post-training models. Train specialized models without building data pipelines by hand.
New in LangSmith Engine: red teaming and automated testing
LangSmith Engine now includes Red Teaming to proactively detect agent issues and automated agent testing. Learn more about the Engine v2 release.
Wed Sep 231 post
What Is Jev? A Guide to TypeSafe AI’s System One Model
What is Jev? Learn how TypeSafe AI’s System One model makes fast, structured decisions, where it fits in the agent loop, and how to use Jev with LangChain
Tue Sep 222 posts
Jev is now available in LangSmith Evals
Use Jev as a judge for LangSmith evals to evaluate agent traces with faster, cheaper structured feedback across production runs, datasets, and regression tests.
The Reliability Layer for Healthcare AI: Common LangSmith Use Cases
See how LangSmith helps healthcare AI teams turn clinical review into reusable evaluators, datasets, and release gates for safer AI in production.
Mon Sep 211 post
Can Jev Be a Better Agent Evaluator?
We tested using Jev-as-a-Judge against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach to agent evaluation.