Track LLM Token Costs per Customer Using the Langchain Code Node

Note: This template only works for self-hosted n8n. This n8n template demonstrates how to use the Langchain code node to track token usage and cost for every LLM call. This is useful if your templates handle multiple clients or customers and you need a cheap and easy way to capture how much of your AI credits they are using. How it works In our mock AI service, we're offering a data conversion API to convert Resume PDFs into JSON documents. A form trigger is used to allow for PDF upload and the file is parsed using the Extract from File node. An Edit Fields node is used to capture additional variables to send to our log. Next, we use the Information Extractor node to organise the Resume data

Help me set up the n8n workflow "Track LLM Token Costs per Customer Using the Langchain Code Node" (https://n8n.io/workflows/3440). It uses: Google Sheets, Gmail, LangChain Code, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.