LangChain发布ScaleDown集成以支持长运行Agent
Open the event page ↗New at this step ·LangChain Blog Answers Common Questions on Agent Evals for Agent Development
- Reports in replay
- 2
- First-party
- 0
- Sources
- 1
Reports first seen at this step · 1
- LangChain Blog · Third-partyLangChain Blog Answers Common Questions on Agent Evals for Agent DevelopmentOriginal source ↗
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Event developments
2 developments10/15/2026, 2:23:28 AM
LangChain integrates ScaleDown models to build efficient long-running agentsLangChain Blog
10/15/2026, 9:26:32 AM
LangChain Blog Answers Common Questions on Agent Evals for Agent DevelopmentLangChain Blog
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Impact evidence & leads
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Keyword leads from currently public reports, not verified policy states or supplier relationships. Copy may have been revised later; time replay is bounded.
Fact stations & layer labels
Every station carries a type label and a source drawer; keywords only decide where a fact is read. No causal arrows are drawn between layers.
- Unclassified fact stationOct 13, 00:00recorded Oct 15, 02:23
Building Long-Running Agents with ScaleDown and Deep Agents
Evidence & revisions · 1 source records
- Subject:
- LangChain
- Action:
- 发布 ScaleDown 集成和 LangSmith LLM Gateway 支持
- Object:
- ScaleDown 受限解码模型 (CDMs) 与 LangChain 深度代理
- Occurred (fact side):
- Oct 13, 00:00
- Published (valid side):
- Oct 13, 22:01
- First seen (known side):
- Oct 15, 02:23
- (this clock's basis)
Fact stationSingle source · one-sided claimRevisedCopy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.
- Unclassified fact stationOct 15, 00:00recorded Oct 15, 09:26
The Most Common Questions About Agent Evals, Answered
Evidence & revisions · 1 source records
- Subject:
- LangChain
- Action:
- 发布博客文章
- Object:
- 提供关于 Agent Evals 的常见问题解答
- Occurred (fact side):
- Oct 15, 00:00
- Published (valid side):
- Oct 15, 09:19
- First seen (known side):
- Oct 15, 09:26
- (this clock's basis)
Fact stationSingle source · one-sided claimRevisedCopy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.
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Bounded reconstruction, not an exact snapshot: entity names, relationship text and story grouping may include later revisions. Overview and full source archive below remain current.