In the news
Building Long-Running Agents with ScaleDown and Deep Agents
LangChain · Published · 3 min read
In 30 seconds
- What happened
- LangChain released langchain-scaledown integration and LangSmith support for ScaleDown's constrained decoding models to optimize long-running agents.
- Why it matters
- Engineers building agents that manage large context windows need cheaper, faster alternatives to frontier LLMs for summarization, compression, and extraction tasks.
- Watch out
- ScaleDown models are task-specific and narrower than general LLMs; they excel at constrained tasks but cannot replace the main agent reasoning model.
- agent
- coding model
- constrained decoding
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