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LangSmith BYOC 正式上线，支持 AWS、Azure 与 Google Cloud

LangSmith Bring Your Own Cloud (BYOC) now runs on @AWScloud, @Azure, + @GoogleCloud. Your traces an...

官方账号LangChain@LangChainAI
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LangSmith 的 BYOC 现在三大云都能用了，trace 数据留在你自己账号里，想上云又怕数据出去的可以看看

LangChain 宣布 LangSmith 的 Bring Your Own Cloud（BYOC）模式现在可以在 AWS、Azure 和 Google Cloud 上运行。该模式下，traces 和 agent 部署数据留在用户自己的云账号里，LangChain 只负责运行数据平面。目前 AWS 版本已 GA，Azure 和 Google Cloud 版本处于 Beta 阶段。从 self-hosted 迁移的用户可由官方提供迁移支持。

Original · LangChain

LangSmith Bring Your Own Cloud (BYOC) now runs on @AWScloud, @Azure, + @GoogleCloud. Your traces an...

LangSmith Bring Your Own Cloud (BYOC) now runs on @AWScloud , @Azure , + @GoogleCloud . Your traces and agent deployments stay in your cloud account while we run the data plane. ☁️ GA on AWS, Beta on Azure + Google Cloud 🚚 Moving from self-hosted? We'll run the migration langchain.com/blog/langsmith… i 💬 0 🔄 0 ❤️ 1 👀 359 ⚡

#LangSmith#LangChain#AWS#Azure#MCP/工具

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LangSmith AI Search Matches Agent Traces to Descriptions

Agent debugging usually means grepping raw traces; this inverts the workflow by letting teams describe the failure in natural language and get matching trajectories back. Engineering teams running LLM apps in production can use it to find specific behaviours without building custom query tooling. Compared with generic observability search, the two-stage filter-then-verify design reduces the model's workload and latency.

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官方账号LangChain@LangChainAISource