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Cohere 模型节点#

¥Cohere Model node

使用 Cohere 模型节点使用 Cohere 的模型。

¥Use the Cohere Model node to use Cohere's models.

本页提供“Cohere 模型”节点的节点参数以及更多资源的链接。

¥On this page, you'll find the node parameters for the Cohere Model node, and links to more resources.

此节点缺少工具支持,因此无法与 AI 代理 节点一起使用。与其将其与 基础 LLM 链 节点连接。

¥This node lacks tools support, so it won't work with the AI Agent node. Instead, connect it with the Basic LLM Chain node.

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.

模板和示例#

¥Templates and examples

Template widget placeholder.

相关资源#

¥Related resources

有关服务的更多信息,请参阅 LangChains 的 Cohere 文档

¥Refer to LangChains's Cohere documentation for more information about the service.

View n8n's Advanced AI documentation.