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🚀 Today we're launching LangSmith Sandboxes Agents get a lot more useful when they can run code: analyze data, call APIs, build entire applications. Sandboxes give them a safe place to do it with ephemeral, locked-down environments you control. Now in Private Preview. Learn more: Join the waitlist:

LangChain

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46,479 次观看 • 4 个月前 •via X (Twitter)

教育科学技术财经

Anya Rossi• Live Now

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26,513 次观看 • 6 个月前

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13,518 次观看 • 6 个月前

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185,848 次观看 • 1 年前

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30,744 次观看 • 4 个月前

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LangChain

43,733 次观看 • 1 年前

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️

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LangChain

41,016 次观看 • 7 个月前

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105,345 次观看 • 5 个月前

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36,095 次观看 • 3 个月前