AI BriefingLangChain Blog news
The latest AI and developer news from LangChain Blog, with short summaries.
Visit website →Introducing Rubrics: Building Agents That Self-Evaluate and Self-Correct
Deep Agents has released RubricMiddleware, which supports a self-evaluation and self-correction loop for agents.
Rippling Builds Production AI in 6 Months with Deep Agents and LangSmith
Rippling used Deep Agents and LangSmith to build production AI handling complex data models in just 6 months.
Interpreter Skills: Building Workflows for Agents
Interpreter Skills let agents directly execute TypeScript modules, enabling more complex and predictable workflows.
The AI Agent Development Lifecycle: Build, Test, Deploy, and Monitor | LangChain
It presents a 4-stage development lifecycle for systematically building and operating AI agents.
Introducing LangSmith Engine
LangSmith Engine analyzes failure patterns in AI agents and automates the development cycle from root cause diagnosis to fix suggestions.
LangSmith Sandboxes Reaches General Availability
LangChain has launched LangSmith Sandboxes, a hardware virtualization-based service for secure code execution by agents, to general availability.
Solving Production Agent Errors: Interrupt 2026 Recap
At Interrupt 2026, LangChain unveiled new tools for diagnosing agent errors and secure execution environments.
Lyft Builds Self-Service AI Agent Platform with LangGraph and LangSmith
Lyft leveraged LangGraph and LangSmith to build a platform that allows even non-technical experts to develop AI agents directly, dramatically shortening development time.
Mission Control for Kubernetes-based Self-Hosted LangSmith
Mission Control is an in-cluster application that provides unified management of deployment and operations for self-hosted LangSmith in Kubernetes environments.
From Token Streams to Agent Streams
LangChain unveiled a new architecture that goes beyond token streaming to stream messages, tool calls, and sub-agents as structured events
How Auth Proxy Protects LangSmith Agent Sandboxes
LangSmith Auth Proxy injects authentication headers at the network layer, keeping credentials managed outside the sandbox.
Deep Agents' Interpreter: Code Between Tool Calls and Sandboxes
LangChain adds an interpreter to Deep Agents, providing a middle layer between tool calls and sandboxes
Everything Announced at Interrupt
LangChain unveiled a number of new products that accelerate the agent development lifecycle.
LangChain Labs Launches
LangChain has launched LangChain Labs, an applied research organization focused on continual learning for agents.
Building SmithDB, a Data Layer for Agent Observability
LangChain has launched SmithDB, a dedicated data layer designed to handle agents' complex trace data.
New Features in Deep Agents v0.6
LangChain Deep Agents v0.6 delivers performance and cost optimization with a code interpreter and delta channels
Delta Channels: Runtime Evolution for Long-Running Agents
With Delta Channels in LangGraph 1.2, checkpoint storage for long-running agents has been reduced by more than 40x.
Deep Agent Tuning for Different Models
LangChain has added model-specific profiles to Deep Agent, improving benchmark performance by 10-20 points.
April 2026: LangChain Newsletter
LangChain strengthens LangSmith's evaluation and cost management features and supports production deployment of Deep Agents.
LangSmith's Reusable Evaluators and Evaluator Templates
LangSmith has released reusable Evaluators and a library of 30+ templates to improve agent evaluation efficiency.