LangSmith 追踪数据微调开源模型完整工作流
LangChain 把 LangSmith 里的真实运行轨迹直接变成微调数据，用 Baseten 和 Fireworks AI 训开源模型，做智能体的朋友可以抄这套流程。
LangChain 演示了一套四步工作流：从 LangSmith 导出智能体运行轨迹，将 trace 转换成 SFT 格式的训练样本，再用 Baseten 和 Fireworks AI 微调开源模型，最后回到 LangSmith 做评估。整条链路复用已有的生产日志数据，无需额外标注。
1️⃣ Identify + export trajectories from LangSmith 2️⃣ Transform traces into SFT-ready training examples 3️⃣ Fine-tune open models w/ @baseten + @fireworks_AI 4️⃣ Evaluate in LangSmith All in one simple workflow.📊 1 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include LangSmith, LangChain, Baseten, Fireworks AI.
Source attribution: curated from LangChain (@LangChainAI).
