The `inboxes#index` API endpoint was firing 3 queries per inbox while rendering the response — one each for the polymorphic channel, avatar attachment, and working hours. For accounts with many inboxes this turned a routine list call into a multi-second request — measured at 35 seconds on an account with 5,000 inboxes. Two root causes: 1. `policy_scope` was silently discarding the controller's `.includes(...)` chain because `InboxPolicy::Scope#resolve` returns a fresh `user.assigned_inboxes` relation, ignoring whatever scope is passed in. So the eager loading never actually applied. 2. `Inbox#weekly_schedule` called `working_hours.order(...).select(...)` which fires a new query per inbox even when the association is preloaded. The fix chains the eager loads and ordering after `policy_scope` so they apply to the relation the policy actually returns, adds `:portal` and `:working_hours` to the preload list, and refactors `weekly_schedule` to sort the preloaded collection in Ruby and build the hash directly. Result: queries drop from O(n) to a constant ~15 regardless of inbox count, and total request time drops 5–6× across every account size tested. Response payload is byte-identical. ## How to test 1. Open the agent dashboard for an account with a large number of inboxes (1000+). On a stock dev DB you can seed quickly with `Seeders::AccountSeeder` or by creating a few hundred `Channel::Api` inboxes via the rails console. 2. Hit any UI surface that lists inboxes (settings → inboxes, sidebar inbox list, agent assignment dropdowns). Should feel near-instant where it previously hung. 3. Confirm every inbox shows the same data as before — channel type, working hours, avatar, portal/help-center link. No fields should be missing or different. ## Benchmarks Real HTTP requests via curl against a dev Rails server (median of 5 timed trials after warmup; "Server total" is the time reported in Rails' `Completed 200 OK in <X>ms` log line). | Account | Channel mix | OLD | NEW | Speedup | |---|---|---|---|---| | 1000 inboxes | 3 types, no portals/avatars | 5.87 s | 0.96 s | **6.1×** | | 5000 inboxes | 3 types, no portals/avatars | 33.07 s | 6.93 s | **4.8×** | | 5000 inboxes | 10 types, 25% portals, 10% avatars | 35.04 s | 6.55 s | **5.4×** | Detailed breakdown for the realistic 5000-inbox case: | | OLD | NEW | Δ | |-----------------|-----------|----------|----------| | Server total | 35,042 ms | 6,550 ms | −81% | | Views | 32,034 ms | 6,452 ms | −80% | | ActiveRecord | 2,948 ms | 92 ms | −97% | | Allocations | 42.3 M | 11.3 M | −73% | | Queries | ~15,000 | 15 | −99.9% | ## What changed - `app/controllers/api/v1/accounts/inboxes_controller.rb` — chain `.includes(:channel, :portal, :working_hours, avatar_attachment: :blob).order_by_name` *after* `policy_scope(...)`. The previous code passed them into `policy_scope` but the policy resolver dropped the chain. - `app/models/concerns/out_of_offisable.rb` — `weekly_schedule` now sorts the preloaded `working_hours` collection in Ruby and constructs the result hashes inline, avoiding both the per-inbox query from `.order(...).select(...)` and the `as_json` reflection overhead. Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
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
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- Campaigns to proactively engage customers.
- Custom Attributes for storing additional customer data.
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- Use Google Translate to translate messages from your customers in realtime.
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- Live View of ongoing conversations for real-time monitoring.
- Conversation, Agent, Inbox, Label, and Team Reports for operational visibility.
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- Downloadable Reports for offline analysis and reporting.
Documentation
Detailed documentation is available at chatwoot.com/help-center.
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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.
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Chatwoot now supports 1-Click deployment to DigitalOcean as a kubernetes app.
Other deployment options
For other supported options, checkout our deployment page.
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Looking to report a vulnerability? Please refer our SECURITY.md file.
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