Last week, we launched LangSmith Fine-Tuning and the smithtune CLI.
Turn your agent’s own trajectories into a fine-tuned model without building a training pipeline by hand.
Your traces already show your agent doing the job well. Now, that signal becomes training data.
Quick demo from @jakebroekhuizen
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Lets you turn successful production trajectories into a fine-tuned model without hand-building a training pipeline, closing the loop between tracing and model improvement.
