## Summary
- support region option when configuring Dialogflow integration
- connect to region endpoint when set
- use session identification based on the region
Fixes: https://github.com/chatwoot/chatwoot/issues/4129
…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
- Extended CsatSurveyResponsePolicy to support report_manage permission
- Added enterprise extension module following existing pattern
- Users with report_manage custom role can now access CSAT index,
metrics, and download
- Added comprehensive tests for both base and enterprise policy behavior
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.
- 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
- Automate the deletion of accounts that have requested deletion via
account settings.
- Add a Sidekiq job that runs daily to find accounts that have requested
deletion and have passed the 7-day window.
- This job deletes the account and then soft-deletes users if they do
not belong to any other account.
- This job also sends an email to the Chatwoot instance admin for
compliance purposes.
- The Chatwoot instance admin's email is configurable via the
`CHATWOOT_INSTANCE_ADMIN_EMAIL` global config.
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
- Add API support for creating a thread
- Add API support for creating a message
- Remove uuid from thread (no longer required, we will use existing
websocket connection to send messages)
- Update message_type to a column (user, assistant, assistant_thinking)
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.
- Refactor email validation logic to be a service
- Use the service for both email/pass signup and Google SSO
- fix account email validation during signup
- Use `blocked_domain` setting for both email/pass signup and Google
Sign In [`BLOCKED_DOMAIN` via GlobalConfig]
- add specs for `account_builder`
- add specs for the new service
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
Earlier, we were manually checking if a user was an agent and filtering
their conversations based on inboxes. This logic should have been part
of the conversation permissions service.
This PR moves the check to the right place and updates the logic
accordingly.
Other updates:
- Add support for search_conversations service for copilot.
- Use PermissionFilterService in contacts/conversations, conversations,
copilot search_conversations.
---------
Co-authored-by: Sojan <sojan@pepalo.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
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 adds a tool to search Linear issues. If the integration is
enabled for the account, the tool will return results as expected. Also
introduces support for an `active?` method, which allows third-party
Copilot tools to be conditionally enabled based on the status of the
integration on the account.
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.
Show captain messages under the name of the assistant which generated
the message.
- Add support for `Captain::Assistant` sender type
- Add push_event_data for captain_assistants
- Add activity message handler for captain_assistants
- Update UI to show captain messages under the name of the assistant
- Fix the issue where openAI errors when image is sent
- Add support for custom name of the assistant
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
# 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>
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
The agents can see the previous conversations with the copilot if needed
with this change. We would have to cleanup the data after a while. For
now, that is not considered.
This PR adds:
- A new model for copilot_threads (intentionally named thread instead of
conversation to avoid confusion), copilot_messages
- Add the controller to fetch previous threads and messages.
- Currently Chatwoot manages Twilio Inbox creation in a separate
controller , We want to move this to inboxes api so that we have a
unified API for inbox related changes
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Previously, agent bots weren’t allowed to edit custom attributes in
conversations. But with AI, it’s now more feasible to return accurate
and useful attributes. Since there’s no strong reason to block this,
this PR enables bots to update custom attributes.
Fixes https://github.com/chatwoot/chatwoot/issues/11378
