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xAI Grok 聊天模型节点#

¥xAI Grok Chat Model node

使用 xAI Grok Chat Model 节点访问 xAI Grok 的大型语言模型，用于对话式 AI 和文本生成任务。

¥Use the xAI Grok Chat Model node to access xAI Grok's large language models for conversational AI and text generation tasks.

在此页面，你可以找到 xAI Grok Chat Model 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 xAI Grok 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。n8n 会动态加载来自 xAI Grok API 的可用模型。在 xAI Grok 模型文档 中了解更多信息。

¥Model: Select the model which will generate the completion. n8n dynamically loads available models from the xAI Grok API. Learn more in the xAI Grok model documentation.

节点选项#

¥Node options

  • 访问频率惩罚：使用此选项可控制模型重复自身的概率。更高的值会降低模型重复的概率。

¥Frequency Penalty: Use this option to control the chances of the model repeating itself. Higher values reduce the chance of the model repeating itself.

  • 最大令牌数：请输入使用的最大令牌数，这将设置完成时长。大多数模型的上下文长度为 2048 个令牌，最新模型最多支持 32,768 个令牌。

¥Maximum Number of Tokens: Enter the maximum number of tokens used, which sets the completion length. Most models have a context length of 2048 tokens with the newest models supporting up to 32,768 tokens.

  • 响应格式：选择文本或 JSON。JSON 确保模型返回有效的 JSON。

¥Response Format: Choose Text or JSON. JSON ensures the model returns valid JSON.

  • 存在惩罚：使用此选项可控制模型讨论新主题的概率。数值越高，模型讨论新话题的概率越大。

¥Presence Penalty: Use this option to control the chances of the model talking about new topics. Higher values increase the chance of the model talking about new topics.

  • 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.

  • 超时：请输入最大请求时间（以毫秒为单位）。

¥Timeout: Enter the maximum request time in milliseconds.

  • 最大重试次数：请输入请求重试的最大次数。

¥Max Retries: Enter the maximum number of times to retry a request.

  • 顶部 P：使用此选项可设置完成概率。使用较低的值来忽略可能性较小的选项。

¥Top P: Use this option to set the probability the completion should use. Use a lower value to ignore less probable options.

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 xAI Grok API 文档。

¥Refer to xAI Grok's API documentation for more information about the service.

View n8n's Advanced AI documentation.