Tag
The article details the implementation of cost and token observability for LangChain applications using Arize Phoenix and OpenTelemetry, focusing on distinguishing between LLM tool calls, tool execution, and final responses to avoid collapsing metrics.
LangChain is hosting an evening event in San Francisco featuring technical talks on continual learning, speakers from Prime Intellect and Baseten, and networking opportunities for the AI agent engineering community.
PodiumHQ previously built and maintained their own agent runtimes but migrated to LangSmith after its deployment feature launched, making the switch an easy decision.
This tweet poses a technical interview question about deploying RAG chatbots at scale, explaining common pitfalls like state persistence and pointing to Akamai's GitHub repos and Developer Hub for reference implementations.
LangChain is hosting an Amsterdam Meetup on October 6th with CEO Harrison Chase to discuss leveraging the LangChain ecosystem and building agents, including networking opportunities.
LangSmith Engine from LangChain helps developers debug AI models to understand their behavior, metaphorically described as seeing why the apple fell.
LangChain announces upcoming LangSmith Roadshow events in Dallas, Boston, and Los Angeles, focusing on agent development and workshops with LangSmith Engine.
Caspar discusses how LangChain's managed deep agents can automatically set up Slack and derive icons from agent names, with inspiration from DitherAvatar.
LangChain Academy is hosting a live workshop on Deep Agents on September 17th, teaching participants to build agents with planning, memory, and subagents for complex tasks.
Box adopted LangChain's Deep Agents framework to build its enterprise AI agent, highlighting benefits like model flexibility and faster development cycles for complex content management tasks.
LangSmith revealed that PodiumHQ's AI agents were acting rationally based on context, contrary to initial perceptions of being broken. Principal Software Engineer Walker Ward discusses tracing agent reasoning end to end.
Airbnb will present at LangChain's Interrupt NYC conference on September 24, 2026, sharing how their Trust organization standardized a production stack using LangChain and LangGraph. The event focuses on AI agents and features multiple industry speakers.
LangSmith enables centralized tracing of agent decisions, improving debugging efficiency as demonstrated by Morningstar Inc's senior software engineer.
LangChain announces a free Academy course on building AI agents with Python, covering foundational concepts like react loops, MCP servers, and human-in-the-loop.
OpenWiki 0.4.0 adds coding agent integrations with Claude, Codex, and OpenCode, simplifying setup for developers.
LangChain's managed service enables one-command deployment of AI agents to Slack, automating app provisioning without manual configuration.
A promotional tweet for a book titled '30 Agents Every AI Engineer Must Build', offering guidance on building scalable and secure AI agent systems using proven architectures and tools like LangChain and LangGraph.
LangChain Academy introduces Tutors that use coding agents to teach AI concepts through interactive lessons, quizzes, and feedback, with featured courses on Deep Agents and LangSmith.
LangChain is hosting Alex Atallah, Co-Founder & CEO of OpenRouter, at the Interrupt NYC conference on September 24th, focusing on AI agents.
LangChain is hosting a Building Agents with Agents Roadshow in Sunnyvale on August 27th, featuring keynotes, hands-on workshops, and networking opportunities for AI agent developers.