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LangSmith highlights Finch Legal, a startup using AI agents for pre-litigation in personal injury law, achieving 10x growth and utilizing LangSmith for production observability.
LangChain shares a customer story where PodiumHQ's Walker Ward discusses using LangGraph and LangSmith to move AI agents from prototype to production.
LangChain released a plugin that logs all Claude Code sessions into LangSmith for debugging, with a quick three-command setup.
Schneider Electric uses LangChain's LangSmith to run over 60 production AI agents across 100+ countries, serving 160,000 employees with their AI Assistant, demonstrating enterprise-scale LLMOps.
LangChain Academy launches a new course titled 'Introduction to Deep Agents', teaching what a harness is and the four core capabilities of a harness, with hands-on building using LangChain and LangSmith.
LangSmith Evaluation helps improve AI agent quality by evaluating performance with real production data.
A guide on running agent evaluations using Harbor framework and LangSmith sandboxes with full trace support.
The speaker discusses the importance of evaluating and improving coding agents, highlighting LangSmith's integration with Harbor to provide a unified stack for running, tracing, and improving agent evaluations in isolated environments.
Coding agent costs are rising due to fragmented logging across tools like Claude Code, Cursor, and Copilot; LangChain's LangSmith provides unified tracing and cost visibility to help teams monitor and optimize spend.
Antimetal is an autonomous system using AI agents to manage production software by building a world model of the environment, preventing issues, triaging alerts, and shipping fixes.
Harbor Framework now integrates with LangChain's Deep Agents, LangSmith Sandboxes, and Observability, enabling running agents in isolated, reproducible environments for deterministic testing.
LangChain announces the ability to convert existing LangGraph agents into voice agents using Pipecat AI, alongside updates to LangSmith's voice traces with an inline audio player.
LangChain's LangSmith enables developers to use tracing as compliance evidence for the EU AI Act, with customizable evaluators for bias, hallucination, toxicity, accuracy, and adversarial inputs.
LangSmith Spotlight highlights patlytics, an enterprise legal AI platform for the patent lifecycle that uses LangSmith to orchestrate its AI stack from prompt management to workflow evaluations.
Philipp Comans shared at the Interrupt conference how Chime balances product velocity with compliance by having legal and compliance teams co-write evaluation systems, transforming AI assistant development from an 'oops-driven' approach to a continuous alignment flywheel.
LangChain introduces On-Call Copilot, a new agent template in LangSmith Fleet that triages alerts, investigates root causes across code and traces, manages tickets, and routes incidents to the right channels while continuously learning from runbooks and escalation rules.
LangChain announces SmithDB, a purpose-built distributed database for agent observability that powers LangSmith, offering up to 12x performance improvements and support for complex agent trace queries.
LangChain announces the IRL LangSmith Engine, a new product offering.
LangSmith Observability provides real-time monitoring for AI agents to help identify performance issues quickly.
LangChain engineers detail how they built a custom inverted index for SmithDB to support full-text search and JSON filtering over large agent traces stored in object storage, achieving median latency of 400ms despite huge payload sizes.