LangSmith
The platform for agent engineering.
Platform for developing, observing, evaluating, and deploying production AI agents and LLM applications, including tracing and operational controls.
Recent stories
LangSmith now lets teams score production traces with Jev and trigger automated responses. Tests found Jev fast and competitive for groundedness, but weaker than reasoning models on math and code.
LangChain opened Managed Deep Agents in public beta for scaffolding agents with channels, sandboxes, memory, and identity. The agents deploy on LangSmith-managed infrastructure with evals and lifecycle controls.
LangSmith added sandboxed execution, spend-aware gateway routing, and Engine to surface recurring agent failures from traces. The bundle gives teams one place to run agents, control token spend, and turn production issues into debugging and eval loops.
Multiple agent-infra vendors shipped copy-on-write branches, checkpoints, snapshots, forks, or rollback primitives on the same day. That matters because long-running agents can now explore, retry, and recover state without relying only on Git or full sandbox rebuilds.