All AI Pulse updates tagged "LangChain".
16 signalsAgent governance extends beyond security, bringing together authentication, audit logs, user management, provider secrets, data separation, data residency, rate limits, fallbacks, and centralized spend controls. On August 12th, we’ll share a practical framewor
. @sydneyrunkle on the common applications for Deep Agents.
LangSmith for Startups Spotlight: @Antimetal Antimetal is an autonomous system to manage your software in production. It builds a world model of your environment -- then its agents continuously monitor to prevent issues, triage alerts, and ship fixes. They are
Two transcription models run in parallel, one excels in quality, the other in silence detection.
Most teams building today have traces, what they don't have is a system for continuously improving their agents. The teams that do use an agent development lifecycle: build, test, deploy, and monitor. The problem with this lifecycle? It scales at the speed of
You can turn an existing LangGraph agent into a fully functional voice agent with @pipecat_ai . This 17-minute walkthrough shows you exactly how to do it.
LangSmith Sandboxes are designed for long-term use, running for hours or even days without limits.
@BraceSproul + @jakebroekhuizen spill the tea on sandboxes.
LangSmith sandboxes are now available in @harborframework after installation.
Base @Alibaba_Qwen performs well with good prompting.
A planning tool that helps models organize work for challenging tasks.
LangSmith Sandboxes allow you to run untrusted code safely.
They share insights on open source models.
See how to allow your agent to safely execute code.
LangSmith Observability helps you understand agent performance in real-time to quickly identify issues.
LangSmith Sandboxes GA introduces new CLI and Docker features.