LangSmith now supports decision models including Jev and SemIf
LangSmith now supports decision models, including Jev and SemIf, and provides visibility into every step.
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LangChain outlines Rippling AI architecture built on Deep Agents and LangSmith
Rippling AI is built on Deep Agents and LangSmith, employing a supervisor agent to coordinate five to seven specialized subagents alongside LangSmith tracing, evaluations, and production monitoring.
LangChain invites teams to try Trajectories in LangSmith
LangChain says Trajectories in LangSmith can be tried now for debugging long-running agents, giving subject-matter experts a readable behavior view, scoring sessions with online evals, and turning production sessions into fine-tuning datasets.
LangSmith Custom Apps is now generally available
LangChain says LangSmith Custom Apps can create interfaces from agent data with a prompt, including views for labeling runs, comparing experiments, and reviewing traces.
LangSmith Engine v2 adds red teaming and validated fixes
LangChain announced LangSmith Engine v2 at Interrupt. It identifies agent issues before production, tests proposed fixes before showing them to users, and surfaces inefficient agent work along with cost and latency trends.
LangChain announces LangSmith Engine v2 at Interrupt
LangChain announced LangSmith Engine v2 at Interrupt and says it can proactively find agent issues and resolve them before users see them.