TypeSafe AI Jev middleware can route models for LangChain managed deep agents
Nathan Drezner says TypeSafe AI's Jev middleware can be used with LangChain managed deep agents for model routing. Users define routes, and Jev handles model selection.
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View all AI newsLangChain reports Jev matched a human reviewer vs GPT-5.6 and Claude Sonnet 4.6 as agent-eval judges
LangChain said it tested Jev against GPT-5.6 Luna, GPT-5.6 Terra, and Claude Sonnet 4.6 as agent-eval judges, reporting a human-reviewer match on every call, up to 913x lower variance, 0.44s per call, and a $0.34 full-run cost versus $28.17 with Claude Sonnet 4.6.
LangChain shares Sydney Runkle walkthrough of typesafeai’s new Jev model
LangChain highlighted a sub-10-minute video by Sydney Runkle breaking down @typesafeai’s new Jev model and how to plug it into agents.
Elvis reports using Jev to retag ~2.3K AI papers for $0.14 in 83 seconds
Elvis (@omarsar0) said he used Jev to organize about 2.3K AI research papers for a total cost of $0.14 in about 83 seconds. He said Jev agreed with 75% of prior DeepSeek V4 Flash tags, found about 579 high-confidence topic changes, and that a 30-item manual check of disagreements was fully accepted before the changes were applied in production.
TypeSafe AI opens Jev to everyone with no waitlist
TypeSafe AI said Jev is now available to everyone and has no waitlist. The company also said all users start with $5 in credit (~120 million tokens).
Bailey Jennings compares Jev and Luna on ONET job classification
In a quick demo, TypeSafe AI's Jev scored 80.5% exact at about 200 milliseconds and $122 per 1M, against Luna's 84.9% exact at about 2 seconds and $482 per 1M.