How to get the file from the start node in the code execution?

[sunnoy]

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I want to complete such a workflow, upload a compressed file and then preprocess it through the code execution node, and then send it to the llm for analysis through the document extraction node

[dosubot[bot]]

Hello @sunnoy! I'm Dosu, your friendly bot here to help you out while you wait for a human maintainer. I'm ready to assist you with any bugs or questions you have. Let's get started!

I found two similar discussions that might be helpful:

1. How can I output a file in Workflow - This discussion is still open and might provide insights into handling files within workflows ^[1].

2. How to pass sys.files uploaded by the user in the starting node to the LLM in the workflow? - This discussion is also open and addresses passing files from the start node to the LLM ^[2].

To complete a workflow involving uploading a compressed file, preprocessing it through the code execution node, and then sending it to the LLM for analysis through the document extraction node, follow these steps:

1. Enable File Upload: Add a single file variable in the "Start" node, such as compressedFile. The file upload feature supports various formats, with a maximum of 10 files and a size limit of 15MB per file.

2. Preprocess the File: Use a code execution node to decompress the uploaded file. This node should take the compressedFile as input, decompress it, and output the decompressed file(s).

3. Document Extraction: Add a document extractor node. Select the decompressed file(s) from the code execution node as input variables. The document extractor will parse and convert the contents into text. Ensure the input variables are of type File or Array[File].

4. LLM Analysis: Add an LLM node and use the output variable from the document extractor node in the system prompt. Alternatively, if using an LLM with file processing capabilities, you can directly input the file variable into the LLM node's system prompt.

5. Configure End Node: Configure the end node by selecting the output variable of the LLM node.

This setup will allow users to upload compressed files, have them decompressed and processed, and then analyzed by the LLM ^[3][4][5][6].

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