Langsmith
22 mentions across 2 people
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“They also make Langmith, which is an excellent observability platform for evaluating AI agents.”
AI Hackathon Pioneers Real Estate Industry Innovation ↗“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 ↗“How Trellix cut log parsing time from days to minutes with LangGraph Studio and LangSmith”
Trellix Leverages LangChain for Cybersecurity Automation and Efficiency ↗