LangSmith for Startups: @raspberry__ai ✅ The agentic platform for fashion. ✅ Works alongside design teams on their boards and turns plain-English requests into finished renders, tech packs, and campaign imagery in minutes. ✅ Runs the full lifecycle of its LangGraph agent on LangSmith. Join Raspberry AI to transform the fashion industry:

LangSmith for Startups Spotlight: Vector Legal Vector Legal is the premier AI-native law firm for startups, venture capital, and private equity. VectorOS, the one stop shop legal operating system, powers day-to-day legal work like formation, trademarks, contract management, company records, and e-signatures, while expert attorneys are on call when the stakes go up: fundraising, complex contract review, equity management, and bet-the-company matters. Trusted by companies including Corgi, Browser Use, and Sela AI, Vector Legal recently raised a seed round led by Base10 Partners with participation from Y Combinator. They use LangSmith for agent deployment, tracing, and fleet management across the AI agents powering their legal workflows. Building something big, or backing those who are? Vector Legal would love to help:

LangSmith is now available as a bring your own cloud deployment on @awscloud. Keep agent traces and runtime data inside your AWS boundary, while LangChain manages provisioning, upgrades, scaling, and support. BYOC gives teams data sovereignty with the speed of a managed service.

1️⃣ LangSmith Engine v2 2️⃣ Managed Deep Agents v0.8 3️⃣ LangSmith Trajectories 4️⃣ LangSmith Fine-Tuning 5️⃣ Custom Apps Everything we announced at Interrupt NYC ⤵️

Next stops on the LangSmith Roadshow? 📍 9/29: Boston 📍 10/1: Los Angeles If you want a hands-on look at how to build and improve agents with agents, you won’t want to miss these half-day events.

🎓 New in our LangSmith Essentials course: A capstone We’ve added even more opportunities to apply your debugging and tracing skills, and for you to master our framework agnostic agent engineering platform for observing, evaluating, and deploying agents. Get started at LangChain Academy today ⤵️

some great new LangSmith docs on traces vs threads vs trajectories (new concept) observability data is no longer just for observability - its also for memory & learning having a really clear mental model of this data is incredibly helpful!