构建工作流

LangChain Code node

英文官方文档 / build/code-in-n8n/use-built-in-shortcuts/langchain-code-node.md / 固定提交 15824496

n8n provides these methods to make it easier to perform common tasks in the LangChain Code node.

Method	Description
`this.addInputData(inputName, data)`	Populate the data of a specified non-main input. Useful for mocking data. `inputName` is the input connection type, and must be one of: `ai\_agent`, `ai\_chain`, `ai\_document`, `ai\_embedding`, `ai\_languageModel`, `ai\_memory`, `ai\_outputParser`, `ai\_retriever`, `ai\_textSplitter`, `ai\_tool`, `ai\_vectorRetriever`, `ai\_vectorStore` `data` contains the data you want to add. Refer to Data structure for information on the data structure expected by n8n.
`this.addOutputData(outputName, data)`	Populate the data of a specified non-main output. Useful for mocking data. `outputName` is the input connection type, and must be one of: `ai\_agent`, `ai\_chain`, `ai\_document`, `ai\_embedding`, `ai\_languageModel`, `ai\_memory`, `ai\_outputParser`, `ai\_retriever`, `ai\_textSplitter`, `ai\_tool`, `ai\_vectorRetriever`, `ai\_vectorStore` `data` contains the data you want to add. Refer to Data structure for information on the data structure expected by n8n.
`this.getInputConnectionData(inputName, itemIndex, inputIndex?)`	Get data from a specified non-main input. `inputName` is the input connection type, and must be one of: `ai\_agent`, `ai\_chain`, `ai\_document`, `ai\_embedding`, `ai\_languageModel`, `ai\_memory`, `ai\_outputParser`, `ai\_retriever`, `ai\_textSplitter`, `ai\_tool`, `ai\_vectorRetriever`, `ai\_vectorStore` `itemIndex` should always be `0` (this parameter will be used in upcoming functionality) Use `inputIndex` if there is more than one node connected to the specified input.
`this.getInputData(inputIndex?, inputName?)`	Get data from the main input.
`this.getNode()`	Get the current node.
`this.getNodeOutputs()`	Get the outputs of the current node.
`this.getExecutionCancelSignal()`	Use this to stop the execution of a function when the workflow stops. In most cases n8n handles this, but you may need to use it if building your own chains or agents. It replaces the Cancelling a running LLMChain code that you'd use if building a LangChain application normally.

官方原文和授权

本页来自 N8N 英文官方网站固定快照，并转换成 xueai 静态页面。内容以 N8N 持续更新的官方页面为准。

来源、授权与修改

本站保留许可证、固定提交号、社区作者和修改说明，不代表 n8n 对本站背书。

查看许可证，查看来源和修改说明