# Pull Request Template
## Description
Routes Enterprise assistant, copilot, FAQ, contact memory,
action-classifier, and false-promise detector LLM paths through
feature-specific model resolution. `Llm::BaseAiService` now accepts
feature/account context and uses `Llm::FeatureRouter` when that context
is present, while retaining the installation-model fallback for
unmigrated callers. This also adds a `document_faq_generation` feature
default for generative FAQ/document content.
Linear: https://linear.app/chatwoot/issue/CW-7425/test-new-models
Depends on #14840
## 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?
- `bundle exec rspec spec/lib/llm/models_spec.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/services/captain/copilot/chat_service_spec.rb
spec/enterprise/services/captain/llm/assistant_chat_service_spec.rb
spec/enterprise/services/captain/llm/faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/conversation_faq_service_spec.rb
spec/enterprise/services/captain/llm/assistant_action_classifier_service_spec.rb
spec/enterprise/services/captain/llm/assistant_false_promise_service_spec.rb
spec/enterprise/jobs/captain/conversation/response_builder_job_spec.rb`
passed with 112 examples, 0 failures.
- `bundle exec rspec spec/models/concerns/captain_featurable_spec.rb
spec/models/account_spec.rb
spec/controllers/api/v1/accounts/captain/preferences_controller_spec.rb
spec/lib/llm/feature_router_spec.rb` passed with 87 examples, 0
failures.
- `bundle exec rubocop enterprise/app/services/llm/base_ai_service.rb
enterprise/app/services/captain/copilot/chat_service.rb
enterprise/app/services/captain/llm/assistant_chat_service.rb
enterprise/app/services/captain/llm/faq_generator_service.rb
enterprise/app/services/captain/llm/conversation_faq_service.rb
enterprise/app/services/captain/llm/contact_notes_service.rb
enterprise/app/services/captain/llm/contact_attributes_service.rb
enterprise/app/services/captain/llm/assistant_action_classifier_service.rb
enterprise/app/services/captain/llm/assistant_false_promise_service.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/services/captain/copilot/chat_service_spec.rb
spec/enterprise/services/captain/llm/assistant_chat_service_spec.rb
spec/enterprise/services/captain/llm/faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/conversation_faq_service_spec.rb
spec/enterprise/services/captain/llm/assistant_action_classifier_service_spec.rb
spec/enterprise/services/captain/llm/assistant_false_promise_service_spec.rb
spec/enterprise/jobs/captain/conversation/response_builder_job_spec.rb`
passed with no offenses.
- `bundle exec ruby -e "require 'yaml'; config =
YAML.load_file('config/llm.yml'); abort('missing
document_faq_generation') unless config.dig('features',
'document_faq_generation'); abort('missing default') unless
config.dig('features', 'document_faq_generation', 'default'); puts
'llm.yml ok'"` passed.
- `git diff --check` passed.
## 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
# Pull Request Template
## Description
Captain v1 does not have access to contact attributes. Added a toggle to
let user choose if they want contact information available to Captain.
## 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.
Specs and locally
<img width="1924" height="740" alt="CleanShot 2026-03-19 at 18 48 19@2x"
src="https://github.com/user-attachments/assets/353cfeaa-cd58-40eb-89e7-d660a1dc1185"
/>
![Uploading CleanShot 2026-03-19 at 18.53.26@2x.png…]()
## 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
- 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
This PR introduces the concept of a tool registry. The implementation is
straightforward: you can define a tool by creating a class with a
function name. The function name gets registered in the registry and can
be referenced during LLM calls. When the LLM invokes a tool using the
registered name, the registry locates and executes the appropriate tool.
If the LLM calls an unregistered tool, the registry returns an error
indicating that the tool is not defined.
This PR implements the following features
- FAQs from conversations will be generated in account language
- Contact notes will be generated in account language
- Copilot chat will respond in user language, unless the agent asks the
question in a different language
## Changes
### Copilot Chat
- Update the prompt to include an instruction for the language, the bot
will reply in asked language, but will default to account language
- Update the `ChatService` class to include pass the language to
`SystemPromptsService`
### FAQ and Contact note generation
- Update contact note generator and conversation generator to include
account locale
- Pass the account locale to `SystemPromptsService`
<details><summary>Screenshots</summary>
#### FAQs being generated in system langauge
#### Copilot responding in system language
</details>
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.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.
This pull request introduces several changes to implement and manage
usage limits for the Captain AI service. The key changes include adding
configuration for plan limits, updating error messages, modifying
controllers and models to handle usage limits, and updating tests to
ensure the new functionality works correctly.
## Implementation Checklist
- [x] Ability to configure captain limits per check
- [x] Update response for `usage_limits` to include captain limits
- [x] Methods to increment or reset captain responses limits in the
`limits` column for the `Account` model
- [x] Check documents limit using a count query
- [x] Ensure Captain hand-off if a limit is reached
- [x] Ensure limits are enforced for Copilot Chat
- [x] Ensure limits are reset when stripe webhook comes in
- [x] Increment usage for FAQ generation and Contact notes
- [x] Ensure documents limit is enforced
These changes ensure that the Captain AI service operates within the defined usage limits for different subscription plans, providing appropriate error messages and handling when limits are exceeded.
This PR introduces a review step for generated FAQs, allowing a human to
validate and approve them before use in customer interactions. While
hallucinations are minimal, this step ensures accurate and reliable FAQs
for Captain to use during LLM calls when responding to customers.
- Added a status field for the FAQ
- Allow the filter on the UI.
<img width="1072" alt="Screenshot 2025-01-15 at 6 39 26 PM"
src="https://github.com/user-attachments/assets/81dfc038-31e9-40e6-8a09-586ebc4e8384"
/>
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>
