## Description
When an agent resolves or snoozes a conversation, their capacity frees
up — but under Assignment V2, no new conversation was assigned until the
next event triggered the assignment job. This meant agents could sit
idle despite having queued conversations waiting. This change triggers
the AssignmentJob immediately on resolve/snooze so freed capacity is
utilized right away.
## Type of change
- [ ] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
- Enable auto assignment v2 on an inbox
- Create a conversation (gets auto-assigned to an available agent)
- Resolve the conversation
- Verify that another unassigned conversation in the inbox gets assigned
to the freed-up agent
## 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: tds-1 <tds-1@users.noreply.github.com>
## Description
Adds webhook configuration management for WhatsApp Cloud API channels,
allowing administrators to check webhook status and register webhooks
directly from Chatwoot without accessing Meta Business Manager.
## Type of change
- [ ] New feature (non-breaking change which adds functionality)
## Screenshots
<img width="1130" height="676" alt="Screenshot 2026-03-05 at 7 04 18 PM"
src="https://github.com/user-attachments/assets/f5dcd9dd-8827-42c5-a52b-1024012703c2"
/>
<img width="1101" height="651" alt="Screenshot 2026-03-05 at 7 04 29 PM"
src="https://github.com/user-attachments/assets/e0bd59f9-2a90-4f24-87c0-b79f21e721ee"
/>
## 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: Muhsin Keloth <muhsinkeramam@gmail.com>
## Linear tickets
-
https://linear.app/chatwoot/issue/CW-6607/vanta-remediate-medium-vulnerabilities-identified-in-packages-are
-
https://linear.app/chatwoot/issue/CW-6612/vanta-remediate-medium-vulnerabilities-identified-in-packages-are
## Description
Upgrades markdown-it from 13.0.2 to 14.1.1 to remediate CVE-2026-2327
## Type of change
Please delete options that are not relevant.
- [ ] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
- Sanity testing of golden flows via UI
## 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
# Pull Request Template
## Description
Add account setting and store_accessor for
`captain_force_legacy_auto_resolve`.
Enterprise job now skips LLM evaluation when this flag is true and falls
back to legacy time-based resolution. Add spec to cover the fallback.
## Type of change
We recently rolled out Captain deciding if a conversation is resolved or
not. While it is an improvement for majority of customers, some still
prefer the old way of auto-resolving based on inactivity. This PR adds a
check.
## 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.
legacy_auto_resolve = true
<img width="1282" height="848" alt="CleanShot 2026-03-13 at 19 55 55@2x"
src="https://github.com/user-attachments/assets/dfdcc5d5-6d21-462b-87a6-a5e1b1290a8b"
/>
legacy_auto_resolve = false
<img width="1268" height="864" alt="CleanShot 2026-03-13 at 20 00 50@2x"
src="https://github.com/user-attachments/assets/f4719ec6-922a-4c3b-bc45-7b29eaced565"
/>
## 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
- [x] Any dependent changes have been merged and published in downstream
modules
Replace the two-path aggregation (group-then-fan-out for standard events,
per-dimension for distinct-count) with a single per-dimension loop for both.
This removes the bug-prone fan-out logic and the conceptual split.
Strengthen specs to cover all three dimensions (account, agent, inbox),
assert total rollup row counts, and add distinct-count deduplication test.
# Pull Request Template
## Description
Add an api_key override so internal conversation completions prefers
using the system API key and do not consume customer OpenAI credits.
## 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?
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.
specs and locally
## 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
- [x] Any dependent changes have been merged and published in downstream
modules
SAML sign-in now only links an existing user when that user already
belongs to the account that initiated SSO. New users can still be
created for SAML-enabled accounts, and invited members can continue to
sign in through their IdP, but SAML will no longer auto-attach an
unrelated existing user record during login.
**What changed**
- Added an account-membership check before SAML reuses an existing user
by email.
- Kept first-time SAML user creation unchanged for valid new users.
- Added builder and request specs covering the allowed and rejected
login paths.
# Pull Request Template
## Description
CJK language users (Chinese, Japanese, Korean, etc.) use IME where Enter
confirms character selection. AI input components were intercepting
Enter unconditionally, making them unusable for IME users.
Add `event.isComposing` check to CopilotEditor, CopilotInput, and
AssistantPlayground so Enter during active IME composition is ignored.
## 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?
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.
Before:
Add a Japenese keyboard, then go to AI follow-ups, type some word,
selecting it with enter submits the follow up. So CJK users cannot use
follow-ups.
https://github.com/user-attachments/assets/53517432-d97b-47fc-a802-81675e31d5c9
After:
Type a word, press enter to choose it, press enter again to unselect it
and enter again to send
https://github.com/user-attachments/assets/6c2a420b-7ee6-4c71-82a6-d9f1d7bbf31a
## 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
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
# Pull Request Template
## Description
captain decides if conversation should be resolved or open
Fixes
https://linear.app/chatwoot/issue/AI-91/make-captain-resolution-time-configurable
Update: Added 2 entries in reporting events:
`conversation_captain_handoff` and `conversation_captain_resolved`
## Type of change
Please delete options that are not relevant.
- [x] New feature (non-breaking change which adds functionality)
- [x] 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.
LLM call decides that conversation is resolved, drops a private note
<img width="1228" height="438" alt="image"
src="https://github.com/user-attachments/assets/fb2cf1e9-4b2b-458b-a1e2-45c53d6a0158"
/>
LLM call decides conversation is still open as query was not resolved
<img width="1215" height="573" alt="image"
src="https://github.com/user-attachments/assets/2d1d5322-f567-487e-954e-11ab0798d11c"
/>
## 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
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
When the SDK sends identify calls with identical payloads (common on
every page load), `save!` fires even though no attributes changed. While
Rails skips the actual UPDATE SQL, it still opens a transaction, runs
all callbacks (including validation queries like `Contact Exists?`), and
triggers `after_commit` hooks — all for a no-op.
This adds a `changed?` guard before `save!` to skip it entirely when no
attributes have actually changed.
**How to test**
- Trigger an identify call via the SDK with a contact's existing
attributes (same name, email, custom_attributes, etc.)
- The contact should not fire a save (no transaction, no callbacks)
- Trigger an identify call with a changed attribute — save should work
normally
**What changed**
- `ContactIdentifyAction#update_contact`: guard `save!` with `changed?`
check
- Added specs to verify `save!` is skipped for unchanged params and
avatar job still enqueues independently
