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AWS Bedrock Chat Model 节点(AWS Bedrock Chat Model node)#

AWS Bedrock 聊天模型节点允许你使用基于 AWS Bedrock 平台的 LLM 模型。

🌐 The AWS Bedrock Chat Model node allows you use LLM models utilising AWS Bedrock platform.

本页提供 AWS Bedrock 聊天模型节点的参数以及更多资源的链接。

🌐 On this page, you'll find the node parameters for the AWS Bedrock Chat Model node, and links to more resources.

凭证

你可以在这里找到该节点的认证信息。

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

节点参数(Node parameters)#

  • 模型：选择生成结果的模型。

在 Amazon Bedrock 模型文档 中了解更多可用模型的信息。

🌐 Learn more about available models in the Amazon Bedrock model documentation.

节点选项(Node options)#

  • 最大令牌数：输入使用的最大令牌数，这将设置完成的长度。
  • 采样温度：使用此选项来控制采样过程的随机性。较高的温度会产生更为多样化的采样，但也会增加出现偏差的风险。

代理限制(Proxy limitations)#

此节点不支持NO_PROXY环境变量`。

🌐 This node doesn't support the NO_PROXY environment variable.

模板和示例(Templates and examples)#

Template widget placeholder.

有关该服务的更多信息，请参阅 LangChains 的 AWS Bedrock 聊天模型文档。

🌐 Refer to LangChains's AWS Bedrock Chat Model documentation for more information about the service.

View n8n's Advanced AI documentation.