Aakash BakhleandGitHub
d57354c8b5
Tightens the resolved-conversation FAQ generator so it only proposes durable, reusable FAQ candidates supported by human support-agent messages. The implementation now sends a conversation-FAQ-specific transcript to the LLM: customer messages plus real human support-agent messages only, excluding bot, private, activity, and template messages. ## Closes - https://linear.app/chatwoot/issue/CW-7494/tighten-conversation-faq-generation-prompt ## What changed - Added a human-only transcript builder in `ConversationFaqService` instead of using the generic `conversation.to_llm_text` output. - Excluded bot/agent-bot messages before the LLM call, which removes the main bot-line leakage class deterministically. - Preserved native-channel human replies where outgoing messages are stored as `external_echo` without a `User` sender. - Kept a prompt decision gate requiring each FAQ to be backed by a complete public human-agent answer. - Added generic no-FAQ classes for spam, wrong-service conversations, private account/payment/order/certificate/troubleshooting cases, support workflow mechanics, and direct-link/file/quote outputs. - Added a separate `conversation_faq_generation` model route defaulting to `gpt-5.2`, while keeping `document_faq_generation` on its existing `gpt-4.1-mini` default. Conversation FAQ generation passes that feature default ahead of the legacy global `CAPTAIN_OPEN_AI_MODEL` setting unless an account-level override is configured. - Kept the prompt domain-neutral so it can still generate reusable product, service, policy, setup, and process FAQs outside SaaS contexts. ## Sampling notes - Production Langfuse traces showed `llm.captain.conversation_faq` calls using `gpt-4.1` in the sampled account set. - Locally, `Llm::FeatureRouter.resolve(feature: 'conversation_faq_generation')` now resolves to `gpt-5.2`. - Reviewed recent production `llm.captain.conversation_faq` traces across 13+ accounts in compact form. - Replayed 20 full traces across 10 accounts/domains, including education, hosting, retail/auto, APIs, logistics, tax/fiscal workflows, and Chatwoot account 1. - Explicit `gpt-5.2` replay with human-only conversation history returned no FAQ for 15/20 traces. - A comparison replay with `gpt-4.1-mini` returned no FAQ for only 7/20 traces, bringing back several private/order/payment/support-workflow cases. - Remaining non-empty `gpt-5.2` outputs are now mostly borderline/possibly useful human-agent-derived FAQs rather than obvious bot-sourced answers. ## How to test - Resolve conversations where the answer came only from the bot; no pending FAQ should be generated. - Resolve spam, unrelated, wrong-service, or private payment/order/account conversations; no pending FAQ should be generated. - Resolve conversations that require account/order/payment/login/private verification or a human handoff; no pending FAQ should be generated. - Resolve a conversation where a human agent gives a stable, reusable help-center answer; the generated pending FAQ should be general and self-contained.
Chatwoot
The modern customer support platform, an open-source alternative to Intercom, Zendesk, Salesforce Service Cloud etc.
Chatwoot is the modern, open-source, and self-hosted customer support platform designed to help businesses deliver exceptional customer support experience. Built for scale and flexibility, Chatwoot gives you full control over your customer data while providing powerful tools to manage conversations across channels.
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