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>
…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.
A while back, we added a UX enhancement that disabled sending the OOO
message when an agent had replied to the conversation in the last 5
minutes.
https://github.com/chatwoot/chatwoot/pull/11073
This would not send a "we will be back" message even if that reply was a
private note. This would break for bots that posted private notes, and
even for agents who need to just add a note and not actually reply to
the email.
# Pull Request Template
## Description
This PR introduces basic customization options for the CSAT survey:
* **Display Type**: Option to use star ratings instead of emojis.
* **Message Text**: Customize the survey message (up to 200 characters).
* **Survey Rules**: Send surveys based on labels — trigger when a
conversation has or doesn't have a specific label.
Fixes
https://linear.app/chatwoot/document/improve-csat-responses-a61cf30e054e
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
### Loom videos
**Website Channel (Widget)**
https://www.loom.com/share/7f47836cde7940ae9d17b7997d060a18?sid=aad2ad0a-140a-4a09-8829-e01fa2e102c5
**Email Channel (Survey link)**
https://www.loom.com/share/e92f4c4c0f73417ba300a25885e093ce?sid=4bb006f0-1c2a-4352-a232-8bf684e3d757
## 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: Pranav <pranavrajs@gmail.com>
### 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>
At 5 PM, when business hours officially end, an automatic out-of-office
message is sent to customers. However, this creates a poor experience if
an agent is actively chatting with the customer. This update ensures
that the out-of-office message is only sent if no agent message has been
sent in the last 5 minutes. If the customer reaches out again after 5
minutes, the out-of-office message will be triggered.
When using client APIs to create conversations and auto-assignment is turned on, welcome messages were getting triggered. This PR disable the behaviour and ensure template hooks are triggered only if there are incoming messages present.
Fixes: https://linear.app/chatwoot/issue/CW-2187
This commit introduces the ability to associate response sources to an inbox, allowing external webpages to be parsed by Chatwoot. The parsed data is converted into embeddings for use with GPT models when managing customer queries.
The implementation relies on the `pgvector` extension for PostgreSQL. Database migrations related to this feature are handled separately by `Features::ResponseBotService`. A future update will integrate these migrations into the default rails migrations, once compatibility with Postgres extensions across all self-hosted installation options is confirmed.
Additionally, a new GitHub action has been added to the CI pipeline to ensure the execution of specs related to this feature.
