Orchestrates guards → render (Liquid) → send pipeline for one delivery.
Handles skip, reschedule, sent, failed states and re-enqueues on reschedule.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implement guards following the same pass/reschedule/too_stale pattern as QuietHours.
Also fix belongs_to :conversation on Delivery to use class_name: '::Conversation' to avoid namespace resolution failure inside Captain::Lifecycle module.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pure function mapping reservation events to timestamps; used by Scheduler (T9) to compute fire_at.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- GeneratePixTool: envia payment_link como mensagem outgoing direta (bypassa
hallucination de [Link do Pix] placeholder pela LLM)
- GeneratePixTool: extrai email das mensagens recentes via regex e persiste
em contact.email
- GenerateReservationLinkTool: mesmo padrao de envio direto do link
- Captain::Reservation: after_create_commit callback atualiza
ultima_suite/permanencia/reserva_em/total_reservas em contact.custom_attributes
(aparece no painel lateral)
- Controller grava cpf/ultima_suite/ultima_permanencia/ultima_reserva_em/total_reservas
em contact.custom_attributes (aparece no painel lateral do Chatwoot)
- GenerateReservationLinkTool exige marca/unidade/categoria/permanencia/checkin_at;
retorna erro se Jasmine chamar sem esses dados
Mirrors CheckPixPaymentTool resolve_conversation helpers. No fallback,
Jasmine so precisa passar categoria/permanencia/checkin_at - a tool
preenche nome/telefone/cpf/email a partir do contato.
Cria Captain::Tools::GenerateReservationLinkTool que constrói URL
pré-preenchida do reserva-1001 com dados coletados em conversa.
Registra entrada generate_reservation_link em tools.yml e documenta
RESERVA_1001_BASE_URL no .env.example.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Adiciona check_in_at/duration_hours ao schema do tool CreateReservationIntent
para que a IA capture o horário EXATO de chegada informado pelo cliente
- Cria captain_notification_templates: label, content, timing_minutes,
timing_direction (before/after), active, position
- Implementa SendNotificationService com interpolação de variáveis
(guest_name, check_in_time, check_out_time, suite_name, unit_name)
- Implementa NotificationScannerJob (Sidekiq-cron a cada 5min) com
janela de tolerância de ±5min e idempotência via metadata JSONB
- API REST: /captain/units/:unit_id/notification_templates (CRUD)
- Store Vuex captainNotificationTemplates + API client
- UI: página de gestão de templates com editor inline e botão '+'
- Configura rota captain_settings_notifications
- i18n PT/EN para todas as strings novas
- Rubocop e ESLint: zero offenses
Implementa a página Relatórios IA com geração de análises semanais
por IA baseadas nas conversas de cada unidade/caixa de entrada.
Funcionalidades:
- Página /settings/captain/reports com dois tabs (Insights IA / Operacional)
- Botão "Gerar Análise" que enfileira job Sidekiq
- Filtro por unidade ou caixa de entrada
- Exibe insights com status (pendente/processando/concluído/falhou)
- Mostra top_topics, ai_failures e period_summary
- Estado vazio com CTA para gerar primeiro relatório
Backend:
- InsightsController com endpoints index/show/generate
- GenerateInsightsJob que processa conversas com LLM
- ConversationInsightService com chunking e merge inteligente
- Migração para adicionar inbox_id à tabela captain_conversation_insights
- Link sidebar "Relatórios IA" em /settings/captain/reports
Frontend:
- Vuex store captainReports com actions/mutations/getters
- API client CaptainReportsAPI (getInsights, generateInsight)
- i18n en e pt_BR para CAPTAIN_REPORTS.*
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Melhorias na ferramenta send_suite_images para resolver confusão entre
categoria e número de suíte:
1. **Descrições de parâmetros mais claras**
- suite_category: exemplos específicos (Hidromassagem, ALEXA, STILO)
- suite_number: apenas números (101, 102, 103) - remove exemplos confusos
2. **Instruções explícitas no system prompt**
- Seção [Galeria de Fotos] com regras claras
- Prioriza suite_category quando ambíguo
- Evita confirmações desnecessárias com cliente
3. **Mensagens de erro melhoradas**
- Sugere buscar por categoria quando busca por número falha
- Feedback mais útil para a IA
Resultado esperado:
- Cliente: "Me manda foto da suite Alexa"
- IA: busca por suite_category="Alexa" ✓ (sem pedir confirmação)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
# Pull Request Template
## Description
## Type of change
typo fix
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Instruments captain v2
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Local testing:
<img width="864" height="510" alt="image"
src="https://github.com/user-attachments/assets/855ebce5-e8b8-4d22-b0bb-0d413769a6ab"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
# Pull Request Template
## Description
Reply suggestions uses `search_documentation`. While this is useful,
there is a subtle bug, a user's message may be in a different language
(say spanish) than the FAQs present (english).
This results in embedding search in spanish and compared against english
vectors, which results in poor retrieval and poor suggestions.
Fixes # (issue)
This PR fixes the above behaviour by making a small llm call translate
the query before searching in the search documentation tool
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
before:
<img width="894" height="157" alt="image"
src="https://github.com/user-attachments/assets/83871ee5-511e-4432-8b99-39e803759f63"
/>
after:
<img width="1149" height="294" alt="image"
src="https://github.com/user-attachments/assets/f9617d7a-6d48-4ca1-ad1c-2181e16c1f3d"
/>
test on rails console:
<img width="2094" height="380" alt="image"
src="https://github.com/user-attachments/assets/159fdaa5-8808-49d2-be5d-304d69fa97f7"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Fixes # (issue)
When we migrated to RubyLLM, images weren't being sent properly in
RubyLLM format to the model, so it did not understand images.
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
specs + local testing
Current behaviour on staging:
<img width="772" height="1012" alt="image"
src="https://github.com/user-attachments/assets/7b7d360f-dea4-48af-b20b-ee4c98a38a85"
/>
local testing with fix:
<img width="792" height="1216" alt="image"
src="https://github.com/user-attachments/assets/5ef82452-015e-4bda-a68f-884d00acb014"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
We’ve been watching Sidekiq workers climb from ~600 MB at boot to
1.4–1.5 GB after an hour whenever attachment-heavy jobs run. This PR is
an experiment to curb that growth by streaming attachments instead of
loading the whole blob into Ruby: reply-mailer inline attachments,
Telegram uploads, and audio transcriptions now read/write in chunks. If
this keeps RSS stable in production we’ll keep it; otherwise we’ll roll
it back and keep digging
This PR is the first of many to simplify the process of building an
assistant. The new flow will only require the user’s website. We’ll
automatically crawl it, identify the business name and what the business
does, and then generate a suggested assistant persona, complete with a
proposed name and description.
This service returns the following.
Example: tooljet.com
<img width="795" height="217" alt="Screenshot 2025-10-25 at 2 55 04 PM"
src="https://github.com/user-attachments/assets/9cb3594a-9c9c-4970-a0a1-4c9c8869c193"
/>
Example: replit.com
<img width="797" height="176" alt="Screenshot 2025-10-25 at 2 56 42 PM"
src="https://github.com/user-attachments/assets/6a1b4266-aab6-455f-a5e3-696d3a8243c9"
/>
## Linear Link:
https://linear.app/chatwoot/issue/CW-5636/pdf-faqs-captain-generates-faqs-in-the-english-only
## Description
PDF Faqs should be generated in the same language as set in account
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
This has been tested via UI, by setting account language to arabic and
upload the pdf for faq generation (pdf content in Hindi)
<img width="1045" height="1085" alt="image"
src="https://github.com/user-attachments/assets/10385181-578e-4933-afc4-4609a6abcec8"
/>
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
This PR adds the ability to modify the embedding model used by Captain
AI.Previously, the embedding model was hardcoded which led to errors when
you used a different API provider which did not support that specific
embedding model.
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
There were customer reported issues with FAQs which were generated in a
different langauge than what they were expecting. The reason behind this
was that the language of the account was not considered in the prompt
provided. If the language of the content was say Spanish, and the
account locale was english. The output was not predicable. The output
depends on the model and the execution time.
This PR would update the prompt to behave consistently with the account
locale. Even though the content provided is in a different language, it
would generate FAQs in the account locale.
Changes:
- Updated the prompt to include a detailed expectation of the FAQs
quality along with the language
- Added specs for the services where the prompt generator is called.
Tested the prompt using Phoenix playground across GPT 5, GPT 4.1, GPT
4.0. The reasoning setting for GPT 5 needs to be low so that it doesn't
generate random questions like "What was this updated?"
## Description
This PR introduces WhatsApp Embedded Signup functionality, enabling
users to connect their WhatsApp Business accounts through Meta's
streamlined OAuth flow without manual webhook configuration. This
significantly improves the user experience by automating the entire
setup process.
**Key Features:**
- Embedded signup flow using Facebook SDK and Meta's OAuth 2.0
- Automatic webhook registration and phone number configuration
- Enhanced provider selection UI with card-based design
- Real-time progress tracking during signup process
- Comprehensive error handling and user feedback
## Required Configuration
The following environment variables must be configured by administrators
before this feature can be used:
Super Admin Configuration (via
super_admin/app_config?config=whatsapp_embedded)
- `WHATSAPP_APP_ID`: The Facebook App ID for WhatsApp Business API
integration
- `WHATSAPP_CONFIGURATION_ID`: The Configuration ID for WhatsApp
Embedded Signup flow (obtained from Meta Developer Portal)
- `WHATSAPP_APP_SECRET`: The App Secret for WhatsApp Embedded Signup
flow (required for token exchange)
## How Has This Been Tested?
#### Backend Tests (RSpec):
- Authentication validation for embedded signup endpoints
- Authorization code validation and error handling
- Missing business parameter validation
- Proper response format for configuration endpoint
- Unauthorized access prevention
#### Manual Test Cases:
- Complete embedded signup flow (happy path)
- Provider selection UI navigation
- Facebook authentication popup handling
- Error scenarios (cancelled auth, invalid business data, API failures)
- Configuration presence/absence behavior
## Related Screenshots:
Fixes
https://linear.app/chatwoot/issue/CW-2131/spec-for-whatsapp-cloud-channels-sign-in-with-facebook
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Sojan Jose <sojan@pepalo.com>
# Pull Request Template
## Linear links:
-
https://linear.app/chatwoot/issue/CW-4479/if-image-is-sent-by-the-customer-send-it-to-openai
## Description
This pull request adds “Captain image support” to Chatwoot. It
introduces multimodal message handling so that when a customer sends an
image, Captain can forward the file to OpenAI’s vision endpoint,
generate a caption/analysis
## Type of change
Please delete options that are not relevant.
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
<img width="891" alt="image"
src="https://github.com/user-attachments/assets/c7cc98ed-cc44-4865-a53a-83d129e2fe2c"
/>
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Pranav <pranav@chatwoot.com>
# Pull Request Template
## Linear task:
https://linear.app/chatwoot/issue/CW-4482/captain-should-be-able-to-access-private-notes-only-on-copilot
## Description
Captain should be able to access private notes (only on copilot)
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
- Enable jobs by default when a copilot thread or a message is created.
- Rename thread_id to copilot_thread_id to keep it consistent with the
model name
- Add a spec for search_linear_issues service
