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
- 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>
AI-generated summaries now respect the account's language setting.
Previously, summaries were always returned in English regardless of the
user's configured language, making section headings like "Customer
Intent" and "Action Items" appear in English even for non-English
accounts.
Previous behavior:
<img width="1336" height="790" alt="image"
src="https://github.com/user-attachments/assets/5df8b78b-1218-438d-9578-a806b5cb94ac"
/>
Current Behavior:
<img width="1253" height="372" alt="image"
src="https://github.com/user-attachments/assets/ae932c97-06da-4baf-9f77-9719bc9162e8"
/>
## What changed
- Added explicit account locale to the AI system prompt in
`Captain::SummaryService`
- Updated the summary prompt template to instruct the model to translate
section headings
## How to test
1. Configure an account with a non-English language (e.g., Portuguese)
2. Open a conversation with messages
3. Use the Copilot "Summarize" feature
4. Verify that section headings ("Customer Intent", "Conversation
Summary", etc.) appear in the account's language
---------
Co-authored-by: Aakash Bakhle <48802744+aakashb95@users.noreply.github.com>
CSAT templates for WhatsApp are submitted as Utility, but Meta may
reclassify them as Marketing based on content, which can significantly
increase messaging costs.
This PR introduces a Captain-powered CSAT template analyzer for
WhatsApp/Twilio WhatsApp that predicts utility fit, explains likely
risks, and suggests safer rewrites before submission. The flow is manual
(button-triggered), Captain-gated, and applies rewrites only on explicit
user action. It also updates UX copy to clearly set expectations: the
system submits as Utility, Meta makes the final categorization decision.
Fixes
https://linear.app/chatwoot/issue/CW-6424/ai-powered-whatsapp-template-classifier-for-csat-submissionshttps://github.com/user-attachments/assets/8fd1d6db-2f91-447c-9771-3de271b16fd9
# Pull Request Template
## Description
Reply suggestions uses `search_documentation`. While this is useful,
there is a subtle bug, a user's message may be in a different language
(say spanish) than the FAQs present (english).
This results in embedding search in spanish and compared against english
vectors, which results in poor retrieval and poor suggestions.
Fixes # (issue)
This PR fixes the above behaviour by making a small llm call translate
the query before searching in the search documentation tool
## Type of change
- [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:
<img width="894" height="157" alt="image"
src="https://github.com/user-attachments/assets/83871ee5-511e-4432-8b99-39e803759f63"
/>
after:
<img width="1149" height="294" alt="image"
src="https://github.com/user-attachments/assets/f9617d7a-6d48-4ca1-ad1c-2181e16c1f3d"
/>
test on rails console:
<img width="2094" height="380" alt="image"
src="https://github.com/user-attachments/assets/159fdaa5-8808-49d2-be5d-304d69fa97f7"
/>
## 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
