6be95e79f8
CSAT templates for WhatsApp are submitted as Utility, but Meta may reclassify them as Marketing based on content, which can significantly increase messaging costs. This PR introduces a Captain-powered CSAT template analyzer for WhatsApp/Twilio WhatsApp that predicts utility fit, explains likely risks, and suggests safer rewrites before submission. The flow is manual (button-triggered), Captain-gated, and applies rewrites only on explicit user action. It also updates UX copy to clearly set expectations: the system submits as Utility, Meta makes the final categorization decision. Fixes https://linear.app/chatwoot/issue/CW-6424/ai-powered-whatsapp-template-classifier-for-csat-submissions https://github.com/user-attachments/assets/8fd1d6db-2f91-447c-9771-3de271b16fd9 |
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| .. | ||
| captain | ||
| dialogflow | ||
| dyte | ||
| google_translate | ||
| linear | ||
| openai/openai_prompts | ||
| slack | ||
| bot_processor_service.rb | ||
| llm_base_service.rb | ||
| llm_instrumentation_completion_helpers.rb | ||
| llm_instrumentation_constants.rb | ||
| llm_instrumentation_helpers.rb | ||
| llm_instrumentation_spans.rb | ||
| llm_instrumentation.rb | ||