LangChain integrates ScaleDown models to build efficient long-running agents

ScaleDown offers four specialized models—Summarize, Compress, Extract, and Classify—designed for specific tasks, making them faster and cheaper than general-purpose LLMs. These models are integrated into LangChain and LangSmith LLM Gateway via middlewares to manage agent context by summarizing history, compressing tool results, and extracting structured data. ScaleDown models are reported to be significantly faster and cheaper than frontier models on narrow tasks, with Summarize being 41x cheaper and 2.7x faster than the average of GPT-5.5, GPT-5.4 Mini, and GPT-5.4 Nano on public datasets. All models support up to 1M tokens of input and are multimodal, accepting images and scanned PDFs.