The [Galeria de Fotos] rules previously added to assistant_response_generator
only apply to the legacy V1 chat service. In V2 (captain_integration_v2),
scenario agents use scenario.liquid as their system prompt template, not
assistant_response_generator.
This adds conditional rules to scenario.liquid (matching the existing pattern
for faq_lookup and check_pix_payment) that activate for any scenario that
has the send_suite_images tool:
- Infer suite_category vs suite_number from context, no confirmation needed
- Never announce photo sending before the tool confirms images were found
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Adiciona SYSTEM_PROMPT_LEAK_PATTERNS no ResponseBuilderJob para detectar quando o LLM retornou o system prompt em vez de uma resposta ao cliente
- Filtra mensagens contaminadas do historico de conversas antes de enviar ao LLM (evita contaminacao em espiral)
- Adiciona guardrail no validate_message_content! que redireciona para handoff humano em caso de vazamento detectado
- Cria Captain::Errors::SystemPromptLeakError para tipagem do erro
- Atualiza assistant.liquid com tags INSTRUCOES_INTERNAS e REGRA CRITICA para instruir o LLM a nao reproduzir o system prompt como resposta
Migration Guide: https://chwt.app/v4/migration
This PR imports all the work related to Captain into the EE codebase. Captain represents the AI-based features in Chatwoot and includes the following key components:
- Assistant: An assistant has a persona, the product it would be trained on. At the moment, the data at which it is trained is from websites. Future integrations on Notion documents, PDF etc. This PR enables connecting an assistant to an inbox. The assistant would run the conversation every time before transferring it to an agent.
- Copilot for Agents: When an agent is supporting a customer, we will be able to offer additional help to lookup some data or fetch information from integrations etc via copilot.
- Conversation FAQ generator: When a conversation is resolved, the Captain integration would identify questions which were not in the knowledge base.
- CRM memory: Learns from the conversations and identifies important information about the contact.
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Co-authored-by: Vishnu Narayanan <vishnu@chatwoot.com>
Co-authored-by: Sojan <sojan@pepalo.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
