AI Briefing#langsmith
The latest AI and developer news about #langsmith, with the original source and a short summary.
The latest AI and developer news about #langsmith, with the original source and a short summary.
LangSmith now provides PR-based temporary deployment environments, enabling testing of agent changes before production.
LangChain has released **LangSmith Tuned Evaluators**, enabling AI agent evaluation with low cost and high performance.
AgentCore Payments middleware has been released to enable LangChain agents to directly pay for paid APIs.
LangSmith BYOC has launched as a generally available service running within customers' AWS accounts and VPCs.
LangSmith has released Managed Deep Agents, which handles the deployment and operation of Deep Agents.
LangSmith has launched a managed execution environment for Deep Agents in public beta.
LangChain built an autonomous SRE agent that diagnoses Kubernetes failures and suggests fixes.
LangSmith supports evaluating voice agents in terms of execution, outcome, and user experience.
Lyft, Vodafone, and LATAM Airlines have systematized evaluation, routing, and improvement while operating CX agents.
The LangSmith team built ReviewBench, a benchmark for evaluating code review agents based on real PR reviews.
LangChain has unveiled LangSmith LLM Gateway, a runtime governance layer that manages agents' cost limits and data security.
Similarweb explains how it uses LangSmith to evaluate long-form agentic research reports through rubrics, faithfulness checks, traces, and more.
LangChain redesigned its existing BI-centric data stack into a structure that lets agents understand business context and perform analysis on their own.
LangChain announced major updates including the NVIDIA NemoClaw Blueprint, the OpenWiki Brains memory layer, and a free trial of LangSmith Sandboxes.
LangChain has released the 'Eval Engineering Skill,' which automatically generates agent evaluations (evals) by analyzing repository structure and execution traces.
Apollo adopted Deep Agents and LangSmith to automate complex GTM workflows, improving development efficiency by over 80%.
LangSmith has launched a feature that provides visibility into voice agents, supporting major frameworks such as Pipecat and LiveKit.
LangChain built IssueBench, a synthetic benchmark for evaluating LangSmith Engine's ability to identify and categorize issues.
LangSmith visualizes the execution process of various coding agents as standardized Traces, helping with debugging and performance improvement.
Schneider Electric leveraged LangSmith to build an LLMOps system for managing observability, evaluation, and deployment of large-scale AI agents.
Pendo uses LangSmith to debug, evaluate, and monitor its AI agent Novus.
LangChain unveiled new features for LangSmith and open-source tools for Deep Agents.
Klarna leveraged LangGraph and LangSmith to build a high-performance AI agent that replaces the work of 700 employees.
LangChain supports compliance with the EU AI Act's regulations on high-risk AI systems through LangSmith and open-source tools.