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.

Credentials

你可以在此处中找到此节点的身份验证信息。

¥You can find authentication information for this node here.

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：选择用于生成补全的模型。

¥Model: Select the model that generates the completion.

了解更多关于 Amazon Bedrock 模型文档中可用模型的信息。

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

节点选项#

¥Node options

最大令牌数：请输入使用的最大令牌数，这将设置完成时长。

¥Maximum Number of Tokens: Enter the maximum number of tokens used, which sets the completion length.

采样温度：使用此选项可控制采样过程的随机性。更高的温度会产生更多样化的采样，但会增加出现幻觉的风险。

¥Sampling Temperature: Use this option to control the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations.

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