Langsmith
19 mentions across 2 people
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“Arcade.dev tools now in LangSmith Fleet”
LangChain Fleet Integrates Arcade.dev for Enhanced Agent Tooling ↗
“LangSmith is built to power that workflow.”
LangSmith Addresses Agent Reliability in Real-World Deployments ↗“I think like one thing that that means is that in order to tell what the application is actually doing, you can't look at the code. You have to look at actually what it does in in real life. Um, and so I think one of the the one of the things that one of the things that we do that is most popular is Langmith. One of the core parts of that is tracing. Why are traces so popular? Because they tell you exactly what goes on inside your agent at every step.”
The Evolution of LLM Agent Development from Scaffolds to Long-Horizon Agent Harn ↗“the piece that kind of like spans across all of this is Lang Smith um which we've been working on basically since the start of the company and and and that's kind of like observability and testing for llm applications”
LangChain’s Role in Orchestrating the Agentic AI Paradigm ↗“From Lang Chain's early days as an open source framework to the broader evolution of Langraph, deep agents, Langmith, and agent builder, this episode is a deep dive into the frontier of the AI stack.”
The AI Agent Harness: A Deep Dive with LangChain’s Harrison Chase ↗“LangSmith's new Insights Agent and Multi-turn Evals in LangSmith”
LangSmith Enhances Agent Monitoring with Production-Focused Insights and Multi-t ↗“we have an observability and eval solution called Lang Smith. We built it for developers so that they could see what's going on inside their agent.”
Building Enterprise-Grade Agents: Reliability, Human-in-the-Loop, and the Shift ↗“I'm going to switch over to a local notebook now because I think it will be fun to show what's going on under the hood. Um, and I think Langmith will be good for that.”
LangGraph's Three-Layer Memory Architecture for Adaptive AI Agents ↗“How Lovable uses LangSmith to debug & monitor agents”
LangSmith Enables Rapid AI-Native App Development and Scaling at Lovable ↗“you mentioned a lot of things that we spend a lot of time thinking about with LangSmith in terms of like testing monitoring um one of the big areas we work with people on”
Decagon's Five-Layer AI Agent Engine: Architecture and Lessons from Production C ↗“How Trellix cut log parsing time from days to minutes with LangGraph Studio and LangSmith”
Trellix Leverages LangChain for Cybersecurity Automation and Efficiency ↗“yeah so we we adopted Langs me very early I think you know maybe the the first month that we were betting on the agent you know I immediately uh brought up the requirement in the team that we need a way to observe the agent Behavior this wasn''t intended to be a promo there''s actually a much cooler story that he''s going to tell shortly which is what I''m really interest the story the story is coming but also as a personal recommendation don''t start to do any Ser agent work without any level o”
Rabit Agent: Balancing Autonomy with User-Centricity in Software Creation ↗“Acxiom's use of LangSmith for enhanced audience ...”
LangSmith Enables Scalable AI Audience Segmentation at Acxiom ↗“We're pushing really heavily with laying Smith right now”
LangChain’s Evolving Role in LLM Application Development ↗“Lang chain Lang Smith Lang graph pushing on all of them lots of cool stuff related to a lot of the stuff that we're going to talk about today probably yeah”
Language Agents: Rethinking AI Interaction and Design ↗“we use streamlit streamless awesome it was really easy to get started - who was in Cabin ce128 we can ask a question we can press submit it should hopefully run in the background we'll get back an answer and then we can leave feedback here and so this feedback was very valuable in coming up with our data set because let me”
Benchmarking Question Answering over CSV Data ↗