## Description
Routes the remaining system-only and legacy-sensitive LLM jobs through
feature-level model configuration, while preserving system credential
usage and usage-accounting behavior. This adds dedicated defaults for
help center article generation, onboarding content generation, query
translation, transcription, and search embeddings so these flows can be
configured per account without falling back to installation-wide model
settings.
Fixes https://linear.app/chatwoot/issue/CW-7425/test-new-models
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality not to work as expected)
- [ ] This change requires a documentation update
## How Has This Been Tested?
Verified the feature routing defaults and account overrides for the
touched Captain/system LLM paths, including the legacy OpenAI
transcription and paginated FAQ services.
- `eval "$(rbenv init -)" && bundle exec rspec
spec/lib/captain/base_task_service_spec.rb spec/lib/llm/models_spec.rb
spec/models/concerns/captain_featurable_spec.rb
spec/controllers/api/v1/accounts/captain/preferences_controller_spec.rb
spec/enterprise/services/captain/llm/paginated_faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/pdf_processing_service_spec.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/enterprise/services/onboarding/help_center_article_builder_spec.rb
spec/enterprise/services/captain/onboarding/website_analyzer_service_spec.rb`
- `eval "$(rbenv init -)" && bundle exec rubocop
app/controllers/api/v1/accounts/captain/preferences_controller.rb
app/models/concerns/account_settings_schema.rb
lib/captain/base_task_service.rb
enterprise/app/services/captain/llm/article_translation_service.rb
enterprise/app/services/captain/llm/article_writer_service.rb
enterprise/app/services/captain/llm/embedding_service.rb
enterprise/app/services/captain/llm/help_center_curation_service.rb
enterprise/app/services/captain/llm/paginated_faq_generator_service.rb
enterprise/app/services/captain/llm/translate_query_service.rb
enterprise/app/services/captain/llm/widget_tagline_service.rb
enterprise/app/services/captain/onboarding/website_analyzer_service.rb
enterprise/app/services/messages/audio_transcription_service.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/lib/captain/base_task_service_spec.rb`
- `ruby -e "require 'yaml'; config = YAML.load_file('config/llm.yml');
%w[document_faq_generation help_center_article_generation
onboarding_content_generation help_center_query_translation
audio_transcription help_center_search].each { |feature| abort(%(missing
#{feature})) unless config.dig('features', feature) }; abort('wrong
article default') unless config.dig('features',
'help_center_article_generation', 'default') == 'gpt-5.2'; puts 'llm.yml
ok'"`
- `git diff --check`
## 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
- [ ] Any dependent changes have been merged and published in downstream
modules
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>
This PR adds service to automate account abuse detection. Currently
based on the signup name and URL, could potentially add more context
such as usage analysis, message metadata etc.
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.
---------
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>
