How to Build a Model Router in the Harness
LangChain presented a new method for building a model router, which reduced the median cost per coding task by 64% with no measurable drop in quality.
LangChain presented a new method for building a model router, which reduced the median cost per coding task by 64% with no measurable drop in quality.
LangChain provided a guide to TypeSafe AI's System One model, known as Jev, explaining its function, fit in agent loops, and use with LangChain.
Jev is now available as a judge for LangSmith Evals, providing faster and cheaper structured feedback on agent traces.
LangChain announced new updates to LangSmith, including Engine v2 with red teaming and automatic testing, a new version of Managed Deep Agents, trajectories, and more.
LangSmith Custom Apps allows users to build custom interfaces around their LangSmith data, publish them to their workspace, and bypass hosting, authentication, and permissions work.
LangGraph demonstrates orchestrating Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.