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## Description Label-based conversation filters (custom views / folders) can time out for non-admin agents on large accounts. The permission scoping adds `conversations.inbox_id IN (subquery)` to the filter query, and Postgres misestimates the row count for the account+inbox combination by several orders of magnitude. It then drives the query through an inbox index scan over the account's entire conversation set instead of starting from the label's taggings, which are often only a handful of rows. The query exceeds the request timeout and the folder never loads. This change adds a planner hint to `Conversations::PermissionFilterService`: when enabled, the inbox scoping condition is written as `(conversations.inbox_id + 0) IN (subquery)`, which returns identical rows but is not indexable, so the planner cannot choose the misestimated path. `Conversations::FilterService` enables the hint only when the filter payload contains a `labels` condition. All other callers of the permission service are unchanged, since the bare condition is the right plan for unfiltered conversation lists. Observed on a ~365k-conversation account (worst case, cold cache): label filter for an agent went from exceeding 60s to ~2ms. Popular labels (~154k taggings) show no regression. Admin queries are untouched. Fixes https://linear.app/chatwoot/issue/CW-7787 ## Type of change - [x] Bug fix (non-breaking change which fixes an issue) ## How Has This Been Tested? - Specs for row-equivalence of the hinted scoping, admin behavior, and hint application scoped to label filters only - `EXPLAIN (ANALYZE, BUFFERS)` comparison on a production-scale dataset for rare-label, popular-label, and no-label query shapes, agent and admin, with generic plans matching prepared-statement behavior
Chatwoot
The modern customer support platform, an open-source alternative to Intercom, Zendesk, Salesforce Service Cloud etc.
Chatwoot is the modern, open-source, and self-hosted customer support platform designed to help businesses deliver exceptional customer support experience. Built for scale and flexibility, Chatwoot gives you full control over your customer data while providing powerful tools to manage conversations across channels.
✨ Captain – AI Agent for Support
Supercharge your support with Captain, Chatwoot’s AI agent. Captain helps automate responses, handle common queries, and reduce agent workload—ensuring customers get instant, accurate answers. With Captain, your team can focus on complex conversations while routine questions are resolved automatically. Read more about Captain here.
💬 Omnichannel Support Desk
Chatwoot centralizes all customer conversations into one powerful inbox, no matter where your customers reach out from. It supports live chat on your website, email, Facebook, Instagram, Twitter, WhatsApp, Telegram, Line, SMS etc.
📚 Help center portal
Publish help articles, FAQs, and guides through the built-in Help Center Portal. Enable customers to find answers on their own, reduce repetitive queries, and keep your support team focused on more complex issues.
🗂️ Other features
Collaboration & Productivity
- Private Notes and @mentions for internal team discussions.
- Labels to organize and categorize conversations.
- Keyboard Shortcuts and a Command Bar for quick navigation.
- Canned Responses to reply faster to frequently asked questions.
- Auto-Assignment to route conversations based on agent availability.
- Multi-lingual Support to serve customers in multiple languages.
- Custom Views and Filters for better inbox organization.
- Business Hours and Auto-Responders to manage response expectations.
- Teams and Automation tools for scaling support workflows.
- Agent Capacity Management to balance workload across the team.
Customer Data & Segmentation
- Contact Management with profiles and interaction history.
- Contact Segments and Notes for targeted communication.
- Campaigns to proactively engage customers.
- Custom Attributes for storing additional customer data.
- Pre-Chat Forms to collect user information before starting conversations.
Integrations
- Slack Integration to manage conversations directly from Slack.
- Dialogflow Integration for chatbot automation.
- Dashboard Apps to embed internal tools within Chatwoot.
- Shopify Integration to view and manage customer orders right within Chatwoot.
- Use Google Translate to translate messages from your customers in realtime.
- Create and manage Linear tickets within Chatwoot.
Reports & Insights
- Live View of ongoing conversations for real-time monitoring.
- Conversation, Agent, Inbox, Label, and Team Reports for operational visibility.
- CSAT Reports to measure customer satisfaction.
- Downloadable Reports for offline analysis and reporting.
Documentation
Detailed documentation is available at chatwoot.com/help-center.
Translation process
The translation process for Chatwoot web and mobile app is managed at https://translate.chatwoot.com using Crowdin. Please read the translation guide for contributing to Chatwoot.
Branching model
We use the git-flow branching model. The base branch is develop.
If you are looking for a stable version, please use the master or tags labelled as v1.x.x.
Deployment
Heroku one-click deploy
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Follow this link to understand setting the correct environment variables for the app to work with all the features. There might be breakages if you do not set the relevant environment variables.
DigitalOcean 1-Click Kubernetes deployment
Chatwoot now supports 1-Click deployment to DigitalOcean as a kubernetes app.
Other deployment options
For other supported options, checkout our deployment page.
Security
Looking to report a vulnerability? Please refer our SECURITY.md file.
Community
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Contributors
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