This improves the Captain overview by loading reporting metrics and FAQ
stats from separate endpoints. Range changes now refresh only the
metrics, while reopen-rate calculation reuses the resolved conversation
count to avoid redundant database queries.
## What changed
- Split Captain overview metrics and FAQ stats into separate APIs.
- Fetch FAQ stats independently from range-based metrics.
- Reuse resolved conversation totals when calculating reopen rate.
- Skip the reopen query when there are no resolved conversations.
This PR adds a Captain Assistant **Overview** page to show some KPI
metrics (conversations handled, auto-resolution, handoff, hours saved,
reopen-after-resolve, conversation depth) with trend deltas vs the
previous window, a real knowledge card, and a lazily-loaded, cached LLM
welcome summary.
### Highlights
- **Two contextual banners** on the overview:
- **Inbox banner** — prompts the user to connect an inbox when the
assistant has none, so it can actually do work.
- **Coverage banner** — warns when FAQ coverage is below 85% with more
than 100 responses pending review, linking straight to the pending
queue. Dismissal persists per-assistant for 24h via localStorage.
- **Batched stats builder** (`Captain::AssistantStatsBuilder`) computes
both windows in single FILTER-aggregated scans to cut round trips,
behind new `stats`/`summary` endpoints.
- **Cards included but intentionally left dummy / not rendered yet:**
`ResponseQualityCard` (flagged responses) and `CreditUsageCard` (credit
usage + daily chart). Credits are an account-wide counter with no
per-assistant or daily history, so there is no real data to back them
yet; they ship in the codebase but are not wired into the page.
### Index migration
- Replaces `index_messages_on_sender_type_and_sender_id` with
`index_messages_on_sender_and_created` `(sender_type, sender_id,
created_at)`.
- **Why it helps:** the per-assistant windowed lookups filter `sender_*`
*and* a `created_at` range. The old 2-column index matched every
lifetime row for the assistant and filtered the time slice at the heap
(~89% of rows discarded); adding `created_at` as a range column lets
Postgres scan only the window, and fixes the row-count estimate so the
planner picks a hash join over a nested loop on `reporting_events`.
- **Why dropping the old index is safe:** the new index is a left-prefix
superset `(sender_type, sender_id, ...)`, so every query the old one
served is still served. No code references it by name, and dropping it
keeps write amplification on `messages` neutral. Built/dropped with
`CONCURRENTLY` and `if_not_exists`/`if_exists` guards.
## Preview
<img width="2572" height="1754" alt="CleanShot 2026-06-29 at 22 38
51@2x"
src="https://github.com/user-attachments/assets/3798d09e-7850-48e4-b2cd-508533f15cea"
/>
## Banners
#### Inbox connect alert
<img width="2178" height="612" alt="CleanShot 2026-06-30 at 14 26 55@2x"
src="https://github.com/user-attachments/assets/373c371c-bb7d-4291-a0f9-620673078302"
/>
#### Coverage alert
<img width="2178" height="612" alt="CleanShot 2026-06-30 at 14 25 41@2x"
src="https://github.com/user-attachments/assets/e12d6308-11b6-4ba2-88a2-8a3077dd3e8f"
/>
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
# Pull Request Template
## Description
Adds custom tool support to v1
## 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.
<img width="1816" height="958" alt="CleanShot 2026-03-24 at 11 37 33@2x"
src="https://github.com/user-attachments/assets/2777a953-8b65-4a2d-88ec-39f395b3fb47"
/>
<img width="378" height="488" alt="CleanShot 2026-03-24 at 11 38 18@2x"
src="https://github.com/user-attachments/assets/f6973c99-efd0-40e4-90fe-4472a2f63cea"
/>
<img width="1884" height="1452" alt="CleanShot 2026-03-24 at 11 38
32@2x"
src="https://github.com/user-attachments/assets/9fba4fc4-0c33-46da-888a-52ec6bad6130"
/>
## Checklist:
- [x] 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: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
- Set up stores for copilotThreads and copilotMessages.
- Add support for upsert messages to the copilotMessages store on
receiving ActionCable events.
- Implement support for the upsert option.
This PR introduces support for an assistant filter on the documents page.
- Moved the existing assistant filter functionality to a standalone, reusable component.
- Updated the documents page and responses page to use the component
This PR introduces a review step for generated FAQs, allowing a human to
validate and approve them before use in customer interactions. While
hallucinations are minimal, this step ensures accurate and reliable FAQs
for Captain to use during LLM calls when responding to customers.
- Added a status field for the FAQ
- Allow the filter on the UI.
<img width="1072" alt="Screenshot 2025-01-15 at 6 39 26 PM"
src="https://github.com/user-attachments/assets/81dfc038-31e9-40e6-8a09-586ebc4e8384"
/>
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>
