LangSmith Launches Fine-Tuning: Train Models on Your Agent Traces via Baseten
baseten · x · 2026-09-25
LangChain announced LangSmith Fine-tuning at its Interrupt 26 conference, letting developers fine-tune models on their own agent traces stored in LangSmith. The company also open-sourced smithtune, a CLI that reads LangSmith traces, converts successful runs into a supervised fine-tuning dataset, trains via the Baseten Loops Python SDK on dedicated GPUs, and deploys the evaluated checkpoint to Baseten Dedicated Inference. LangChain's applied research team already used this workflow to train the models behind LangSmith Engine; it's now open to everyone building on LangSmith.
Related event: LangChain Launches LangSmith Fine-Tuning Beta with smithtune CLI(11 posts)→
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