LangChain

Interrupt is back. May 13-14 in San Francisco. Tickets on sale now. → 1,000+ builders → Keynotes from @hwchase17 + @AndrewYNg on what's next for agents → Real production lessons from @clay, @Rippling, @Workday + more → Hands-on workshops → First look at new products Seats are limited. Get tickets: interrupt.langchain.com/?utm_medium=so…

Build deep agents for enterprise search with the NVIDIA AI‑Q blueprint and LangChain 🔍 Our new technical tutorial walks you through: ✅ Connecting agents to your enterprise data sources ✅ Configuring the agents with Nemotron models ✅ Monitoring and debugging performance in LangSmith 📝 nvda.ws/47ezM5j

Introducing LangSmith Fleet. Agents for every team. → Build agents with natural language → Share and control who can edit, run, or clone each agent → Manage authentication with agent identity → Approve actions with human-in-the-loop → Track and audit actions with tracing in LangSmith Observability Try Fleet: smith.langchain.com/agents?skipOnb…

🎉 Agent Builder is now Fleet! With this rebrand, we're also releasing lots of exciting new features: - Dedicated Slack bots for your agents, so each agent can have its own Slack user - "Claws" and "Assistants" Agent Identity concepts, that allow for better sharing of your agents across your team - Many more smaller QOL improvements Try it out today: langchain.com/langsmith/fleet

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: smith.langchain.com/agents?skipOnb… Read the announcement: blog.langchain.com/introducing-la…

New York Meetup 🗽 It Worked on My Laptop: Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability. Agents operate differently. Robert Xu, Deployed Engineer @LangChain, will walk us through why agent observability has distinct challenges, what you need to monitor, and what we've learned from teams deploying agents at scale. 🗓️ March 24 | 🕧 6 PM | 🏙️ NYC (Flatiron) RSVP 👉 luma.com/g55ktjw7

Our agents are out in the wild today - and they're bringing donuts 🍩 @sofia_montoyac @jakebroekhuizen

We take our pastry alignment very seriously. The pleasure was ours!

Two of the sharpest minds in AI evaluation and applied ML research on one stage. @sh_reya (AI Researcher, Berkeley) and @HamelHusain (Founder, Parlance Labs) are joining us at Interrupt. May 13-14 · San Francisco interrupt.langchain.com

Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: blog.langchain.com/polly-langsmit… See the docs: docs.langchain.com/langsmith/polly Try Polly in LangSmith: smith.langchain.com

New Conceptual Guide: You don’t know what your agent will do until it’s in production 👀 With traditional software, you ship with reasonable confidence. Test coverage handles most paths. Monitoring catches errors, latency, and query issues. When something breaks, you read the stack trace. Agents are different. Natural language input is unbounded. LLMs are sensitive to subtle prompt variations. Multi-step reasoning chains are hard to anticipate in dev. Production monitoring for agents needs a different playbook. In our latest conceptual guide, we cover why agent observability is a different problem, what to actually monitor, and what we've learned from teams deploying agents at scale. Read the guide ➡️ blog.langchain.com/you-dont-know-…

We're at GTC all week! Come say hello to the LangChain team at the NVIDIA booth 👋 Today at 12:30 PM at GTC, Harrison will join the panel “Open Models: Where We Are and Where We’re Headed,” alongside Jensen and the CEOs of Cursor, Thinking Machines Lab, Perplexity, and others. Add it to your schedule ➡️ nvidia.com/gtc/session-ca…

@Utkarsh51557661 Resource limits are configurable for each sandbox template (CPU/memory/storage)

@LangChain providing locked-down environments is smart. I've struggled creating truly safe spaces for experimentation. How do you manage the resource limits?

🚀 Today we're launching LangSmith Sandboxes Agents get a lot more useful when they can run code: analyze data, call APIs, build entire applications. Sandboxes give them a safe place to do it with ephemeral, locked-down environments you control. Now in Private Preview. Learn more: blog.langchain.com/introducing-la… Join the waitlist: langchain.com/langsmith-sand…

💫 New LangChain Academy Course: Building Reliable Agents 💫 Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design. The goal of this course is to teach you how to take an agent from first run to production-ready system through iterative cycles of improvement. You’ll learn how to do this with LangSmith, our agent engineering platform for observing, evaluating, and deploying agents. Enroll for free ➡️ academy.langchain.com/courses/buildi…

We're re-releasing Open SWE with a new emphasis on deep integrations with the applications you already use It integrates with: - Slack - Linear - Github so you can use it directly from the applications you already spend your time in, without needing to learn a new platform Checkout our announcement blog, and use the open source agent today: github.com/langchain-ai/o…

San Francisco Meetup 🍕 It Worked on My Laptop: Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability. Agents operate differently. @LiamBush20, Deployed Engineer at @LangChain, will walk us through why agent observability has distinct challenges, what you need to monitor, and what we've learned from teams deploying agents at scale. 🗓️ Thursday, March 19 | ⌚ 6 PM | 🌉 San Francisco (SOMA) RSVP: luma.com/d32tjeoz

Open Models Panel at GTC with Harrison & Jensen: Join us tomorrow, Wednesday March 18th at 12:30pm at GTC for “Open Models: Where We Are and Where We’re Headed”, a panel featuring Harrison, Jensen, and the CEOs of Cursor, Thinking Machines Lab, Perplexity, and more. Add it to your schedule ➡️ nvidia.com/gtc/session-ca…

🌐 We’ve got 11 in-person LangChain meetups and hackathons scheduled! Find your city and join! 🌉 San Francisco Meetup | Thursday, March 19 with @LangChain 🇨🇳 Shenzhen Meetup | Saturday, March 21 with Ambassador @zhanghaili0610 🇸🇪 Stockholm Hackathon | Sunday, March 22 with Ambassador @gostak_dd + @Lovable 🗽 New York Meetup | Tuesday, March 24 with @LangChain 🇳🇱 Amsterdam Meetup | Thursday, March 26 with Ambassador @srirangan with @awscloud @QodoAI @SurrealDB 🇲🇽 CDMX Meetup | Thursday, March 26 with Ambassador Adrian Sanchez Castro  🌉 San Francisco Startup Office Hours | Friday, March 27 with @LangChain 🗽 New York Startup Brunch | Sunday, March 29 with @LangChain 🌴 Miami Meetup | Thursday, April 9 with Ambassador @torres_andres87 🇮🇪 Dublin Meetup | Thursday, April 9 with Ambassador Shiv Rajappa + @AITinkerers 🇦🇷 Buenos Aires Meetup | Friday, April 10 with Ambassador @PetralliLucas 👉️ Find your city and RSVP: luma.com/langchain?k=c&…

Announced in Jensen's keynote today: LangChain frameworks have crossed 1B downloads. We're excited to join the NVIDIA Nemotron Coalition to help shape the open models that power these agents. ➡️ Read the announcement: lnkd.in/g7G3QsZ4 ➡️ Check out the docs: lnkd.in/gDK8sjdt