Automate Invoice Processing & Line Item Extraction with AI

This workflow requires credentials for: 1. **Google Drive:** To access and retrieve invoice files. 2. **LlamaParse:** An API key is needed to send documents for parsing. 3. **OpenAI:** An API key is necessary to leverage their language models (e.g., `gpt-4o-mini`) for structured data extraction and JSON schema generation. Ensure these credentials are securely configured within your n8n instance.

While the provided snippet focuses on the core logic, robust error handling in n8n typically involves: * **Error Trigger Nodes:** Immediately after nodes that might fail (like HTTP Requests or OpenAI calls), you can add an 'Error Trigger' node to catch errors. * **Notifications:** Configure these Error Triggers to send alerts (e.g., via email, Slack) to notify administrators about the failure. * **Fallback Logic:** Implement alternative paths or default values for critical data points if extraction fails. * **Logging:** Ensure detailed logging is enabled for each node to aid in debugging.

Absolutely. The workflow is designed for customization: * **AI Prompt (`content` in `jsonBody`):** The system message for the OpenAI API is dynamically generated from the `$(Set Fields).item.json.prompt` and the `$(Webhook).item.json.body.json[0].items`. You can modify the `Set Fields` node to change the system prompt's instructions to the AI. * **JSON Schema (`response_format.json_schema`):** The target schema is defined in `$(Set Fields).item.json.schema`. You can update this schema in the `Set Fields` node to dictate the exact structure, types, and required fields for the AI's output, allowing you to tailor the extracted data precisely to your needs.