## Docs
https://www.notion.so/chatwoot/Redeeming-a-depreciated-feature-flag-313a5f274c9280f381cdd811eab42019?source=copy_link
## Description
Marks 8 unused feature flags as deprecated: true in features.yml,
freeing their bit slots for future reuse.
Removes dead code references from JS constants, help URLs, and
enterprise billing config.
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
- Simulated the "claim a slot" workflow
## 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
We are expanding Chatwoot’s automation capabilities by
introducing **Conversation Workflows**, a dedicated section in settings
where teams can configure rules that govern how conversations are closed
and what information agents must fill before resolving. This feature
helps teams enforce data consistency, collect structured resolution
information, and ensure downstream reporting is accurate.
Instead of having auto‑resolution buried inside Account Settings, we
introduced a new sidebar item:
- Auto‑resolve conversations (existing behaviour)
- Required attributes on resolution (new)
This groups all conversation‑closing logic into a single place.
#### Required Attributes on Resolve
Admins can now pick which custom conversation attributes must be filled
before an agent can resolve a conversation.
**How it works**
- Admin selects one or more attributes from the list of existing
conversation level custom attributes.
- These selected attributes become mandatory during resolution.
- List all the attributes configured via Required Attributes (Text,
Number, Link, Date, List, Checkbox)
- When an agent clicks Resolve Conversation:
If attributes already have values → the conversation resolves normally.
If attributes are missing → a modal appears prompting the agent to fill
them.
<img width="1554" height="1282" alt="CleanShot 2025-12-10 at 11 42
23@2x"
src="https://github.com/user-attachments/assets/4cd5d6e1-abe8-4999-accd-d4a08913b373"
/>
#### Custom Attributes Integration
On the Custom Attributes page, we will surfaced indicators showing how
each attribute is being used.
Each attribute will show badges such as:
- Resolution → used in the required‑on‑resolve workflow
- Pre‑chat form → already existing
<img width="2390" height="1822" alt="CleanShot 2025-12-10 at 11 43
42@2x"
src="https://github.com/user-attachments/assets/b92a6eb7-7f6c-40e6-bf23-6a5310f2d9c5"
/>
#### Admin Flow
- Navigate to Settings → Conversation Workflows.
- Under Required attributes on resolve, click Add Required Attribute.
- Pick from the dropdown list of conversation attributes.
- Save changes.
Agents will now be prompted automatically whenever they resolve.
<img width="2434" height="872" alt="CleanShot 2025-12-10 at 11 44 42@2x"
src="https://github.com/user-attachments/assets/632fc0e5-767c-4a1c-8cf4-ffe3d058d319"
/>
#### NOTES
- The Required Attributes on Resolve modal should only appear when
values are missing.
- Required attributes must block the resolution action until satisfied.
- Bulk‑resolve actions should follow the same rules — any conversation
missing attributes cannot be bulk‑resolved, rest will be resolved, show
a notification that the resolution cannot be done.
- API resolution does not respect the attributes.
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.com>
CSAT scores are helpful, but on their own they rarely tell the full
story. A drop in rating can come from delayed timelines, unclear
expectations, or simple misunderstandings, even when the issue itself
was handled correctly.
Review Notes for CSAT let admins/report manager roles add internal-only
context next to each CSAT response. This makes it easier to interpret
scores properly and focus on patterns and root causes, not just numbers.
<img width="2170" height="1680" alt="image"
src="https://github.com/user-attachments/assets/56df7fab-d0a7-4a94-95b9-e4c459ad33d5"
/>
### Why this matters
* Capture the real context behind individual CSAT ratings
* Clarify whether a low score points to a genuine service issue or a
process gap
* Spot recurring themes across conversations and teams
* Make CSAT reviews more useful for leadership reviews and
retrospectives
### How Review Notes work
**View CSAT responses**
Open the CSAT report to see overall metrics, rating distribution, and
individual responses.
**Add a Review Note**
For any CSAT entry, managers can add a Review Note directly below the
customer’s feedback.
**Document internal insights**
Use Review Notes to capture things like:
* Why a score was lower or higher than expected
* Patterns you are seeing across similar cases
* Observations around communication, timelines, or customer expectations
Review Notes are visible only to administrators and people with report
access only. We may expand visibility to agents in the future based on
feedback. However, customers never see them.
Each note clearly shows who added it and when, making it easy to review
context and changes over time.
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>
- Reorganizing installation config settings to move more configurations into UI from environment variables
- Changes to installation config to support premium plans in the enterprise edition
- Fixes the broken premium indicator in account/show and accounts/edit page
