.@hwchase17 explains LangSmith LLM Gateway in <90 seconds. pic.twitter.com/rB7GanpxkY
— LangChain (@LangChain) 9 juin 2026
@hwchase17 explains LangSmith LLM Gateway in
@langchain
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hwchase17 explains LangSmith LLM Gateway in less than 90 seconds
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LangSmith Executive Assistant Template for Email and Calendar
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LangSmith Fleet template spotlight: Executive Assistant Manages your inbox, calendar, and daily brief. An email agent that triages your inbox, briefs you every morning, schedules meetings, and learns your preferences over time. Try it today: https://
langchain.com/templates/exec
utive-assistant
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Experimenting with interpreter skills using TypeScript
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TL;DR We are experimenting with interpreter skills: an extension of agent skills that allows you to include a TypeScript module with a skill. A brief overview by @huntlovell https://
langchain.com/blog/interpret
er-skills
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Free LangChain Academy course to monitor and improve agents
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Sign up for free to our LangChain Academy course and get ready to learn how to monitor + improve agents in production.
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LangSmith: costs, trends, quality, latency, and full course
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LangSmith can help you track costs, uncover trends with trace analysis, and monitor quality and latency.
— LangChain (@LangChain) 9 juin 2026
We created a course that walks you through the full stack. pic.twitter.com/8X6T7w6jS2LangSmith helps you track costs, discover trends through trace analysis, and monitor quality and latency. We have created a course that guides you through the full stack.
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Managed Deep Agents: Real Interactions with Endpoints and SDK
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Managed Deep Agents is built to handle real-world interactions:
— LangChain (@LangChain) 9 juin 2026
30+ endpoints for agents, integrations, connections, triggers, threads, and runs
Purpose built task queues to handle bursty traffic
SDKs for chat, streaming, and HITL pic.twitter.com/gK3ToNTO1CManaged Deep Agents is designed to handle real-world interactions: Over 30 endpoints for agents, integrations, connections, triggers, threads, and executions. Task queues specifically designed to handle burst traffic. SDK
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LangChain Chicago event featuring United on Deep Agents
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Join us in Chicago on June 22nd for an evening of insights from LangChain and @focused_dot_io
, AI talks, and community connections! RSVP here: https://
luma.com/l4kbbuln First, @united will speak about how they are leveraging Deep Agents for spec-driven development. Then, -
AI Regulation: Explainable Decisions and Tamper-Proof Records
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When the European AI Regulation comes into effect on August 2, regulators will want to know what your AI system decided, why it made that decision, and will require a tamper-proof record.
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LangSmith enables full tracing and evaluations with per-article breakdown
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With LangSmith, your organization has full tracing across every tool call, retrieval step, and reasoning node gives you the audit trail, the explainability layer, and the foundation to run evaluations. Get an Article by Article breakdown:
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LangSmith Engine: From traces to fixes and evaluations
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Production traces should not just show what went wrong. They should help teams decide what to fix next. In this upcoming session, we’ll show how LangSmith Engine: watches traces, clusters recurring failures, diagnoses root causes, drafts fixes, and proposes evals to prevent