Dyte is sunsetting its existing infrastructure after the Cloudflare
acquisition, so this migrates Chatwoot’s video call integration to
Cloudflare RealtimeKit.
The integration now uses Cloudflare Account ID, RealtimeKit App ID, and
a Cloudflare API token with Realtime Admin permissions. Meeting creation
and participant token generation now call Cloudflare’s RealtimeKit APIs,
while the existing Chatwoot call experience remains unchanged for agents
and customers.
This also adds setup-time credential validation, so admins get clearer
errors when the API token is invalid, the Cloudflare account or
permissions are incorrect, or the RealtimeKit App ID does not belong to
the selected account.
Fixes
https://linear.app/chatwoot/issue/PLA-176/migrate-dyte-integration-to-cloudflare-realtimekit
**How to test**
1. Go to Settings → Integrations → Cloudflare RealtimeKit.
2. Add a Cloudflare Account ID, RealtimeKit App ID, and API token with
Realtime Admin permissions.
3. Confirm the integration saves successfully with valid credentials.
4. Try invalid credentials and confirm the error identifies whether the
token, account/permissions, or app ID is wrong.
5. Start a video call from a conversation and confirm the RealtimeKit
meeting opens.
---------
Co-authored-by: Muhsin <12408980+muhsin-k@users.noreply.github.com>
Co-authored-by: Sony Mathew <sony@chatwoot.com>
## Summary
The `GET /api/v1/accounts/:id/integrations/apps` endpoint returns raw
secret values (OpenAI API keys, Google service account private keys,
Linear refresh tokens, etc.) in hook settings within the JSON response.
Although gated behind an administrator check, these secrets are visible
in the browser network tab.
This PR filters hook settings through the existing `visible_properties`
whitelist defined in `config/integration/apps.yml`, and adds explicit
whitelists to integrations that were missing them.
Closes#14042
## Bug reproduction
**Setup:** Created an OpenAI integration hook with a fake API key
(`sk-test-secret-12345`).
**Step 1 — Browser Network tab shows raw secrets:**
<img width="1676" height="869" alt="Screenshot 2026-04-24 at 14 32 28"
src="https://github.com/user-attachments/assets/6fc69463-365e-458b-b216-98a7390bf528"
/>
Navigate to Settings > Integrations as an admin. Open DevTools Network
tab and observe the response from `GET
/api/v1/accounts/:id/integrations/apps`. The hook settings contain the
full API key in plaintext:
```json
"hooks": [
{
"id": 1,
"app_id": "openai",
"settings": {
"api_key": "sk-test-secret-12345",
"label_suggestion": false
}
}
]
```
**Step 2 — API call confirms the leak:**
```bash
curl -s "http://localhost:3000/api/v1/accounts/2/integrations/apps" \
-H "access-token: <token>" \
-H "client: <client>" \
-H "uid: user@test.com" \
| jq '.payload[] | select(.id == "openai") | {id, name, hooks: [.hooks[] | {id, app_id, settings}]}'
```
Response:
```json
{
"id": "openai",
"name": "OpenAI",
"hooks": [
{
"id": 1,
"app_id": "openai",
"settings": {
"api_key": "sk-test-secret-12345",
"label_suggestion": false
}
}
]
}
```
Any admin user can extract the raw API key from the response. The same
applies to other integrations — Dialogflow exposes full Google service
account credentials, Linear exposes refresh tokens, etc.
## After fix
After applying this change, the GET
/api/v1/accounts/:id/integrations/apps endpoint no longer returns
sensitive secret values in hook settings. Instead, the response is
filtered using each integration’s visible_properties whitelist, ensuring
only safe, user-facing fields are exposed. For example, OpenAI
integrations return non-sensitive fields like label_suggestion while
excluding raw API keys. This prevents secrets from being exposed in the
browser network tab or API responses, even for authenticated admin
users.
```bash
curl -X GET "http://localhost:3000/api/v1/accounts/2/integrations/apps" \
-H "Accept: application/json" \
-H "Authorization: Bearer eyJhY2Nlc3MtdG9rZW4iOiJqZG5jOWg4TnljaWFJa3JlZkxGQzRnIiwidG9rZW4tdHlwZSI6IkJlYXJlciIsImNsaWVudCI6Ik81bjVnTDFEOVVhbGpwbWxjaHZNanciLCJleHBpcnkiOiIxNzgyMzMyNTA4IiwidWlkIjoidXNlckB0ZXN0LmNvbSJ9" \
-H "access-token: jdnc9h8NyciaIkrefLFC4g" \
-H "client: O5n5gL1D9UaljpmlchvMjw" \
-H "uid: user@test.com" \
| jq '.payload[] | select(.id == "openai") | {id, name, hooks: [.hooks[] | {id, app_id, settings}]}'
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 10174 100 10174 0 0 33232 0 --:--:-- --:--:-- --:--:-- 33357
{
"id": "openai",
"name": "OpenAI",
"hooks": [
{
"id": 1,
"app_id": "openai",
"settings": {
"label_suggestion": false
}
}
]
}
```
## What changed
- Added `visible_properties` accessor to `Integrations::App` model to
expose the whitelist from config
- Updated `_hook.json.jbuilder` to filter `resource.settings` through
the associated app's `visible_properties` instead of returning the full
hash
- Added `visible_properties` to integrations that were missing it:
- Linear: `[]` (settings contain refresh_token)
- Notion: `[]` (OAuth-based, no user-facing settings)
- Slack: `['channel_name']` (UI needs this to display connected channel)
- Shopify: `[]` (no settings)
App config metadata (`_app.json.jbuilder`) is left unchanged —
hook_type, settings_form_schema, etc. are not secrets and the frontend
depends on them.
## How to test
1. Create an OpenAI integration hook with an API key
2. As an admin, call `GET /api/v1/accounts/:id/integrations/apps`
3. Verify hook settings include `api_key` (whitelisted) but not raw
credential objects
4. For Dialogflow hooks, verify `credentials` (private key JSON) is
excluded while `project_id` is included
5. For Slack hooks, verify `channel_name` is still returned
6. For Linear hooks, verify `refresh_token` is not returned
---------
Co-authored-by: Botshelo Nokoane (Konstruktors) <botshelo@entersekt.com>
Co-authored-by: Sony Mathew <sony@chatwoot.com>
Co-authored-by: Sony Mathew <2040199+sony-mathew@users.noreply.github.com>
# Pull Request Template
## Description
- Validates openai key while configuring hooks
- added backfill logic
Fixes # (issue)
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## 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.
locally
<img width="1710" height="1234" alt="CleanShot 2026-04-15 at 16 15
02@2x"
src="https://github.com/user-attachments/assets/3d319fe0-19f9-4fd0-9308-74987daac2e1"
/>
<img width="2884" height="1136" alt="CleanShot 2026-05-11 at 19 22
53@2x"
src="https://github.com/user-attachments/assets/5eae8650-985b-4c4a-af42-35f7175ff52d"
/>
## 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: Vishnu Narayanan <iamwishnu@gmail.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>
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>
This PR would update the logos for the integrations (also add the dark mode variants to be used in the future) and updates the logic for enabled / active attributes in the apps.
