We will store the usage in custom attributes and the max allowed in limits, this is much more aligned semantically in comparison to the previous implementation.
Currently, it’s unclear whether an FAQ item is generated from a
document, derived from a conversation, or added manually.
This PR resolves the issue by providing visibility into the source of
each FAQ. Users can now see whether an FAQ was generated or manually
added and, if applicable, by whom.
- Move the document_id to a polymorphic relation (documentable).
- Updated the APIs to accommodate the change.
- Update the service to add corresponding references.
- Updated the specs.
<img width="1007" alt="Screenshot 2025-01-15 at 11 27 56 PM"
src="https://github.com/user-attachments/assets/7d58f798-19c0-4407-b3e2-748a919d14af"
/>
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
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>
### Snyk has created this PR to fix 1 vulnerabilities in the rubygems
dependencies of this project.
#### Snyk changed the following file(s):
- `Gemfile`
<details>
<summary>⚠️ <b>Warning</b></summary>
```
Failed to update the Gemfile.lock, please update manually before merging.
```
</details>
#### Vulnerabilities that will be fixed with an upgrade:
| | Issue | Score |
:-------------------------:|:-------------------------|:-------------------------
 | Web Cache Poisoning
<br/>[SNYK-RUBY-RACK-1061917](https://snyk.io/vuln/SNYK-RUBY-RACK-1061917)
| **616**
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[//]: #
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---------
Co-authored-by: snyk-bot <snyk-bot@snyk.io>
The reload method in our callback was refreshing the object and hence the saved_change_to_assignee_id? Method wasn't working in the following callbacks.
This impacted the listeners subscribing to the event `ASSIGNEE_CHANGE`, `TEAM_CHANGE` etc
* feat: add push notification when SLA missed
* chore: sent notification only for inbox members
* feat: add conv particpants+admins to SLA notification list
* chore: add spec to ensure notification is created
* chore: refactor to multiple alerts for SLA conditions
* chore: add sla_policy as secondary_actor in notification
Sojan
