The test was failing because Current.contact was not being cleared when
testing system auto-resolution. Added Current.contact = nil to ensure
the system auto-resolution message is triggered instead of contact
resolution.
🤖 Generated with [Claude Code](https://claude.ai/code)
# Pull Request Template
## Description
Please include a summary of the change and issue(s) fixed. Also, mention
relevant motivation, context, and any dependencies that this change
requires.
Fixes # (issue)
## Type of change
Please delete options that are not relevant.
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] 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?
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:
- [ ] 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: Claude <noreply@anthropic.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
With this change, the indexing would be separate from the search, so you
need to enable indexing on the cloud and run it. It should start
indexing the messages to ElasticSearch/OpenSearch. Once indexing is
completed, we can turn on the feature for the customer.
Make sure that the following is done when you deploy.
Set POSTGRES_STATEMENT_TIMEOUT=600s before you run the indexing.
1. Make sure that the account with advanced_search has
advanced_search_indexing enabled
```rb
Account.feature_advanced_search.each do |account|
account.enable_features(:advanced_search_indexing)
account.save!
end
```
2. Enable indexing for all accounts with paid subscription.
```rb
Account.where("custom_attributes ->> 'plan_name' IN (?)", ['Enterprise', 'Startups', 'Business']).each do |account|
account.enable_features(:advanced_search_indexing)
account.save!
end
```
3. Run indexing for all the messages.
```rb
Message.reindex
```
Co-authored-by: Vishnu Narayanan <iamwishnu@gmail.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
## Linear:
- https://github.com/chatwoot/chatwoot/issues/486
## Description
This PR implements Multi-Factor Authentication (MFA) support for user
accounts, enhancing security by requiring a second form of verification
during login. The feature adds TOTP (Time-based One-Time Password)
authentication with QR code generation and backup codes for account
recovery.
## Type of change
- [ ] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
- Added comprehensive RSpec tests for MFA controller functionality
- Tested MFA setup flow with QR code generation
- Verified OTP validation and backup code generation
- Tested login flow with MFA enabled/disabled
## 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>
Co-authored-by: Sojan Jose <sojan@pepalo.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
- Add support for using labels as an action event for automation
- Fix duplicated conversation_updated event dispatch for labels
Fixes https://github.com/chatwoot/chatwoot/issues/8539 and multiple
issues around duplication related to label change events.
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
We recently introduced the WhatsApp Embedded Signup flow in Chatwoot to
simplify onboarding. However, we discovered two important limitations:
Some customers’ numbers are already linked to an Embedded Signup, which
blocks re-use. Tech providers cannot onboard their own numbers via
Embedded Signup.
As a result, we need to support both Manual and Embedded Signup flows to
cover all scenarios.
### Problem
- Current UI only offers the Embedded Signup option.
- Customers who need to reuse existing numbers (already connected to
WABA) or tech providers testing their own numbers get stuck.
- Manual flow exists but is no longer exposed in the UX
**Current Embedded Signup screen**
<img width="2564" height="1250" alt="CleanShot 2025-08-21 at 21 58
07@2x"
src="https://github.com/user-attachments/assets/c3de4cf1-cae6-4a0e-aa9c-5fa4e2249c0e"
/>
**Current Manual Setup screen**
<img width="2568" height="1422" alt="CleanShot 2025-08-21 at 22 00
25@2x"
src="https://github.com/user-attachments/assets/96408f97-3ffe-42d1-9019-a511e808f5ac"
/>
### Solution
- Design a dual-path UX in the Create WhatsApp Inbox step that:
- Offers Embedded Signup (default/recommended) for new numbers and
businesses.
- Offers Manual Setup for advanced users, existing linked numbers, and
tech providers.
<img width="2030" height="1376" alt="CleanShot 2025-09-01 at 14 13
16@2x"
src="https://github.com/user-attachments/assets/6f17e5a2-a2fd-40fb-826a-c9ee778be795"
/>
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
The system determines a user’s active account by checking the
`active_at` field in the `account_users` table and selecting the most
recently active account:
```ruby
def active_account_user
account_users.order(active_at: :desc)&.first
end
```
This works fine when all accounts have a valid active_at timestamp.
**Problem**
When a user is added to a new account, the `active_at` value is NULL
(because the account has never been explicitly activated). Ordering by
active_at DESC produces inconsistent results across databases, since
handling of NULL values differs (sometimes treated as high, sometimes
low).
As a result:
- Mobile apps (critical impact): `/profile` returns the wrong account.
The UI keeps showing the old account even after switching, and
restarting does not fix it.
- Web app (accidentally works): Appears correct because the active
account is inferred from the browser URL, but the backend API is still
wrong.
**Root Cause**
- The ordering logic did not account for NULL `active_at`.
- New accounts without active_at sometimes get incorrectly prioritized
as the “active” account.
**Solution**
Explicitly ensure that accounts with NULL active_at are sorted after
accounts with real timestamps by using NULLS LAST:
```ruby
def active_account_user
account_users.order(Arel.sql('active_at DESC NULLS LAST, id DESC'))&.first
end
```
- Accounts with actual `active_at` values will always be prioritized.
- New accounts (with NULL active_at) will be placed at the bottom until
the user explicitly activates them.
- Adding id DESC as a secondary ordering ensures consistent tie-breaking
when multiple accounts have the same `active_at`.
# Pull Request Template
## Description
This Pull Request will provide a language selector in the Profile
Settings for each user, and allows them to change the UI language per
agent, defaulting back to the account locale.
Fixes # #678 This does PR addresses the Dashboard view but does not
change the language of the agents emails
## Type of change
Please delete options that are not relevant.
- [X ] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
1. Go to an Agents Profile settings page
2. Select a language from the Language drop down
3. the UI will update to the new i18n locale
4. navigate through the UI to make sure the appropriate language is
being used
5. Refresh the page to test that the locale persists
270
- [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
Checklist:.724.2708
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
Co-authored-by: Pranav <pranav@chatwoot.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
We now support searching within the actual message content, email
subject lines, and audio transcriptions. This enables a faster, more
accurate search experience going forward. Unlike the standard message
search, which is limited to the last 3 months, this search has no time
restrictions.
The search engine also accounts for small variations in queries. Minor
spelling mistakes, such as searching for slck instead of Slack, will
still return the correct results. It also ignores differences in accents
and diacritics, so searching for Deja vu will match content containing
Déjà vu.
We can also refine searches in the future by criteria such as:
- Searching within a specific inbox
- Filtering by sender or recipient
- Limiting to messages sent by an agent
Fixes https://github.com/chatwoot/chatwoot/issues/11656
Fixes https://github.com/chatwoot/chatwoot/issues/10669
Fixes https://github.com/chatwoot/chatwoot/issues/5910
---
Rake tasks to reindex all the messages.
```sh
bundle exec rake search:all
```
Rake task to reindex messages from one account only
```sh
bundle exec rake search:account ACCOUNT_ID=1
```
## Linear reference:
https://linear.app/chatwoot/issue/CW-4649/re-imagine-assignments
## Description
This PR introduces the foundation for Assignment V2 system by
implementing assignment policies and their association with inboxes.
Assignment policies allow configuring how conversations are distributed
among agents, with support for different assignment orders (round_robin
in community, balanced in enterprise) and conversation prioritization
strategies
Fixes # (issue)
## Type of change
Please delete options that are not relevant.
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] 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?
Test Coverage:
- Controller specs for assignment policies CRUD operations
- Enterprise-specific specs for balanced assignment order
- Model specs for community/enterprise separation
Manual Testing:
1. Create assignment policy: POST
/api/v1/accounts/{id}/assignment_policies
2. List policies: GET /api/v1/accounts/{id}/assignment_policies
3. Assign policy to inbox: POST
/api/v1/accounts/{id}/assignment_policies/{id}/inboxes
4. View inbox policy: GET
/api/v1/accounts/{id}/inboxes/{id}/assignment_policy
5. Verify community edition ignores "balanced" assignment order
6. Verify enterprise edition supports both "round_robin" and "balanced"
- testing the flows after enterprise folder deletion
## 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 <pranavrajs@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.com>
# Pull Request Template
## Description
Fixes
https://linear.app/chatwoot/issue/CW-5411/actionviewtemplateerror-activestorageunrepresentableerror
### Problem
API endpoints return 500 errors when conversations contain image
attachments that can't be processed by ActiveStorage (e.g., files with
non-ASCII filenames, corrupted images, or malicious XSS filenames).
Root Cause: Commit 6cab74139 removed the representable? safety check
from thumb_url, causing `ActiveStorage::UnrepresentableError` to bubble
up and crash the API when it encountered a malformed image file.
Fix: Rescue `thumb_url` method to catch UnrepresentableError and return
an empty string while logging problematic names for future debugging.
This ensures the messages/attachments api does not break due to a single
corrupted image file.
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
- Added specs
## 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
- [x] 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
The term "sorcerer’s apprentice mode" is defined as a bug in a protocol
where, under some circumstances, the receipt of a message causes
multiple messages to be sent, each of which, when received, triggers the
same bug. - RFC3834
Reference: https://github.com/chatwoot/chatwoot/pull/9606
This PR:
- Adds an auto_reply attribute to message.
- Adds an auto_reply attribute to conversation.
- Disable conversation_created / conversation_opened event if auto_reply
is set.
- Disable message_created event if auto_reply is set.
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
## 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>
Fixes notification display issues when user or team names contain emojis
and special characters. Previously, mention notifications would show
URL-encoded characters instead of properly formatted names with emojis.
**Before:**
Notification: "John Doe: Hey @%F0%9F%91%8D%20customer%20support please
check this"
**After:**
Notification: "John Doe: Hey @👍 customer support please check this"
This PR fixes the reply time calculation for reopened conversations.
Previously, when a customer sent a message to reopen a resolved
conversation, the reply time metric would be calculated incorrectly
because the `waiting_since` timestamp was not properly set before the
reply event was dispatched. This would create a case where you'd have
reporting events like the following
```
[[33955732, "reply_time", 19.0],
[33955847, "reply_time", 24.0],
[33955666, "reply_time", 89.0],
[33955530, "conversation_bot_handoff", 4.0],
[33955567, "first_response", 42.0],
[33955745, "reply_time", 21.0],
[33955934, "reply_time", 49.0],
[33955906, "reply_time", 121.0],
[33987938, "conversation_resolved", 26285.0],
[35571005, "reply_time", 985492.0]]
```
Note the `reply_time` after `conversation_resolved`
The fix ensures that `waiting_since` is correctly updated when
conversations are reopened, either through incoming messages or manual
status changes, resulting in accurate reply time metrics that measure
only the time from the customer's new message to the agent's response.
## 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?
The changes have been tested with comprehensive specs that verify:
1. **Reply time calculation after conversation reopening** - Ensures
correct timestamps are used when calculating reply times for reopened
conversations
2. **Waiting since updates on status changes** - Verifies that
`waiting_since` is properly set when conversation status changes from
resolved to open
3. **Test the happy path** - Happy path is tested to ensure the
`reply_time` and `first_response_time` is correctly calculated
Test instructions:
1. Create a conversation with the last message from a customer and
resolve it
2. Have an agent reopen it and reply to it
4. When an agent replies, verify that the agent reply_time event is not
created for this message
To fix any existing data, I've written a small script:
https://gist.github.com/scmmishra/fdf458863f2d971978327bbfd5232d0c
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Added support for Telegram Business bots. Telegram webhooks from such bots include the business_message field, which we transform into a standard message for Chatwoot. This PR also modifies how we handle replies, attachments, and image uploads when working with Telegram Business bots.
demo: https://drive.google.com/file/d/1Yz82wXBVRtb-mxjXogkUju4hlJbt3qyh/view?usp=sharing&t=4Fixes#10181
…on (#11584)"
This reverts commit b5ebc47637.
# Pull Request Template
## Description
Please include a summary of the change and issue(s) fixed. Also, mention
relevant motivation, context, and any dependencies that this change
requires.
Fixes # (issue)
## Type of change
Please delete options that are not relevant.
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] 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?
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:
- [ ] 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
Fixes https://github.com/chatwoot/chatwoot/issues/11569
## Problem
On platforms like WhatsApp and Facebook Messenger, customers cannot
reply to messages after 24 hours (or other channel-specific messaging
windows). Despite this limitation, the system continued sending CSAT
surveys to customers outside their messaging window, making it
impossible for them to respond.
## Solution
Added a check for `conversation.can_reply?` in the
`should_send_csat_survey?` method. This leverages the existing
`MessageWindowService` which already handles all channel-specific
messaging window logic.
We made so many improvements for CSAT via https://github.com/chatwoot/chatwoot/pull/11485. However, we missed showing message content in the dashboard for CSAT URLs created in non-widget inboxes. This PR fixes the issue by ensuring that CSAT-configured messages are passed along with CSAT responses, otherwise defaulting to the translation.
This PR introduces support for optionally exposing more data during LLM
function calls. This will be useful as we expand Copilot’s capabilities.
Changes included:
- Add support for ArticleLlmFormatter
- Add missing specs for ContactLLMFormatter and ArticleLLMFormatter
- Add additional spec for ConversationLLMFormatter based on config
### Summary
- Converts conversation auto-resolution duration from days to minutes
for more
granular control
- Updates validation to allow values from 10 minutes (minimum) to 999
days (maximum)
- Implements smart messaging to show appropriate time units in activity
messages
### Changes
- Created migration to convert existing durations from days to minutes
(x1440)
- Updated conversation resolver to use minutes instead of days
- Added dynamic translation key selection based on duration value
- Updated related specs and documentation
- Added support for displaying durations in days, hours, or minutes
based on value
### Test plan
- Verify account validation accepts new minute-based ranges
- Confirm existing account settings are correctly migrated
- Test auto-resolution works properly with minute values
- Ensure proper time unit display in activity messages
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
- Add agent bots management UI in settings with avatar upload
- Enable agent bot configuration for all inbox types
- Implement proper CRUD operations with webhook URL support
- Fix agent bots menu item visibility in settings sidebar
- Remove all CSML-related code and features
- Add migration to convert existing CSML bots to webhook bots
- Simplify agent bot model and services to focus on webhook bots
- Improve UI to differentiate between system bots and account bots
## Video
https://github.com/user-attachments/assets/3f4edbb7-b758-468c-8dd6-a9537b983f7d
---------
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.com>
- Removes the portal_members table and all associated records
- Updates policies to use custom roles with knowledge_base_manage
permission
- Updates controllers, models, and views to work without portal
membership
- Adds tests for the new permission model
## Description
Add account delete option in the user account settings.
Fixes#1555
## Type of change
- [ ] New feature (non-breaking change which adds functionality)
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my own 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: Sojan Jose <sojan@pepalo.com>
Co-authored-by: Sojan Jose <sojan.official@gmail.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
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 native integration with Shopify. No more dashboard apps.
The support agents can view the orders, their status and the link to the
order page on the conversation sidebar.
This PR does the following:
- Create an integration with Shopify (a new app is added in the
integrations tab)
- Option to configure it in SuperAdmin
- OAuth endpoint and the callbacks.
- Frontend component to render the orders. (We might need to cache it in
the future)
---------
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
We allow users to select locale variants when creating the help center
(e.g., pt_BR or en_UK). However, the selected variant may not always be
available for translation in the app. In such cases, we need to fall
back to either the base language or the default locale.
While this fallback logic was implemented for the portal locale, it was
missing for article locales.
This PR fixes that issue.
At the moment, when updating the inbox members, or team members the
account cache used for IndexedDB is not invalidated. This can cause
inconsistencies in the UI. This PR fixes this by adding explicit
invalidation after performing the member changes
### Summary of changes
1. Added a new method `add_members` and `remove_members` to both `team`
and `inbox` models. The change was necessary for two reasons
- Since the individual `add_member` and `remove_member` is called in a
loop, it's wasteful to run the cache invalidation in the method.
- Moving the account cache invalidation call in the controller pollutes
the controller business logic
2. Updated tests across the board
### More improvements
We can make a concern called `Memberable` with usage like
`memberable_with :inbox_members`, that can encapsulate the functionality
---
Related: https://github.com/chatwoot/chatwoot/issues/10578
# Pull Request Template
## Description
This PR adds the ability to see the shared contact name in Telegram
channels.
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
**Loom video**
https://www.loom.com/share/cd318056ad4d44d4a1fc4b5d4ad38d60?sid=26d833ae-ded9-4cf0-9af7-81eecfa37f19
## 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
---------
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
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.
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>
