{"code":0,"data":{"id":"7f312159-43d0-4ec1-a003-11e9cd28b302","publisher_type":"organization","publisher_unique_handle":"langgenius","creator_email":"shani@dify.ai","template_name":"Customer Email Automation","icon":"","icon_background":"","icon_file_key":"templates/7f312159-43d0-4ec1-a003-11e9cd28b302/icon.png","kind":"classic","dsl_file_key":"templates/7f312159-43d0-4ec1-a003-11e9cd28b302/dsl.yaml","dsl_raw_file_key":"","asset_files":null,"asset_tree_nodes":null,"categories":["support","operations","sales"],"deps_plugins":["langgenius/cohere","langgenius/openai"],"preferred_languages":["en"],"overview":"This workflow automates the handling of inbound customer emails. Given a customer’s name, email subject and body, it classifies the query into predefined categories (e.g. product inquiry, refund request), retrieves relevant knowledge from your dataset, and uses an agent to compose a personalised reply that addresses the customer’s concerns. It streamlines customer support and ensures consistent responses.","readme":"Create and populate a knowledge base/dataset with your company’s FAQs, policies and support articles; note its dataset ID.\r\n \r\nConfigure the classification node with categories relevant to your business; train it if necessary.\r\n \r\nSet the dataset ID in the retrieval node and adjust retrieval parameters (e.g., similarity threshold and top‑k).\r\n \r\nProvide an LLM provider for the agent to draft responses.\r\n \r\nDeploy the workflow; integrate it with your email plugin if you want to send replies automatically.","partner_link":"","version":"0.5.0","status":"published","review_comment":"","usage_count":283,"created_at":"2026-03-05T22:40:17.747623Z","updated_at":"2026-03-05T22:40:17.747623Z"},"msg":"ok"}