<ide_selection>The user selected the lines 24 to 24 from /var/www/hansen.danmarcrm.com/dmcNSEHS_NSE.php:
addPaymentInfo

This may or may not be related to the current task.</ide_selection>

on server in urls:
https://mssql.danmarcrm.com/dev1/extension2/
and
https://mssql.danmarcrm.com/dev1/extension2/public/

/var/www/mssql.danmarcrm.com/dev1/extension2
/var/www/mssql.danmarcrm.com/dev1/extension2/public/
we have the web version of the email inteligence integration that also has a chrome version in local computer:
/Users/dan/Documents/extension2/extension2v1/chrome-extension
I think some time ago the chrome extension was developed in server:
/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension


The user wants me to explore the web version of the email intelligence integration on the server. Let me look at the directory structure to understand what's there.


Let me explore the server-side structure of the extension2 project.


Bash

find /var/www/mssql.danmarcrm.com/dev1/extension2 -maxdepth 3 -type f | sort | head -80

List files in extension2 directory up to 3 levels deep


        (
        (
        (
        )
        )
        )
(
(
(
(
(
(
(
(
(
(
(
(
(
(
)
)
)
)
)
)
)
)
)
)
)
)
)
)
            [date] => 1
            [ea] => -1
    [limit] => 1
    [limit] => 5
    [sort] => Array
    [sort] => Array
    [sort] => Array
            [ta] => -1
    [thread_id] => 193464a158d9620a
    [thread_id] => 193464dea4798eec
    [thread_id] => 19350a1acd081161
    [thread_id] => 193545a4809e8ec9
    [thread_id] => 1935a1b0c2eadd69
    [thread_id] => 19a7ed9bc6d36ecd
    [thread_id] => 19a7f0bc2d08f6ee
    [thread_id] => 19ab53ab26868744
    [thread_id] => 19ae5c0cb75e381c
    [thread_id] => 19ae9963e3507fd8
/var/www/mssql.danmarcrm.com/dev1/extension2/2025-12-14-this-session-is-being-continued-from-a-previous-co.txt
/var/www/mssql.danmarcrm.com/dev1/extension2/AI_ANALYSIS_IMPROVEMENTS.md
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_codex51/index.php
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_composer/index.php
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_composer/test.php
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_grok/IMPLEMENTATION_SUMMARY.md
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_grok/README.md
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_grok/test.php
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_opus/.htaccess
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_opus/index.php
/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/.claude/settings.local.json


List root directory contents


total 218168
drwxrwxrwx 20 root      root           4096 Jan 15 12:05 .
drwxrwxrwx 16 root      root           4096 Feb 19 23:27 ..
-rwxrwxrwx  1 root      root          53544 Dec 14 16:13 2025-12-14-this-session-is-being-continued-from-a-previous-co.txt
-rwxrwxrwx  1 root      root           8708 Dec 18 12:13 AI_ANALYSIS_IMPROVEMENTS.md
drwxrwxrwx  8 root      root           4096 Jan 15 12:05 aiapi
drwxrwxrwx  5 root      root           4096 Dec 17 00:58 backup_20251217_005857
drwxrwxrwx  3 root      root           4096 Dec 17 14:03 cache
drwxrwxrwx  3 root      root           4096 Dec 24 15:27 __changes
-rwxrwxrwx  1 root      root            386 Dec 29 09:20 check_schema.php
drwxrwxrwx  5 root      root           4096 Dec 21 14:44 chrome-extension
drwxrwxrwx  2 root      root           4096 Dec 24 16:09 .claude
-rwxrwxrwx  1 root      root              0 Dec 14 16:11 CLAUDE.md
drwxrwxrwx  2 root      root           4096 Dec 17 20:18 cli
-rwxrwxrwx  1 root      root            486 Dec 17 01:02 composer.json
-rwxrwxrwx  1 root      root          56069 Dec 17 01:02 composer.lock
drwxrwxrwx  2 root      root           4096 Dec 21 01:28 config
-rwxrwxrwx  1 root      root       23457916 Dec 23 19:05 __daily_scraper.log
drwxrwxrwx  2 root      root           4096 Dec 15 23:57 database
-rwxrwxrwx  1 root      root        4107330 Dec 23 19:05 __ddbgHotelRun.log
-rwxrwxrwx  1 root      root      177487961 Dec 23 19:01 __ddbg_room_props.log
-rwxrwxrwx  1 root      root         411160 Dec 23 19:05 __ddbgServerLoadVals.log
-rwxrwxrwx  1 root      root        5307672 Feb 17 12:51 __ddbgSQ.log
-rwxrwxrwx  1 root      root           1326 Dec 29 09:20 delete_old_files.sh
drwxrwxrwx  2 root      root           4096 Dec 15 16:53 docs
-rwxr--r--  1 danbogdan danbogdan      6148 Jan 15 12:05 .DS_Store
drwxrwxrwx  4 root      root           4096 Dec 13 18:42 existingExtension
-rwxrwxrwx  1 root      root           3196 Dec 29 09:20 find_december_quote.php
-rwxrwxrwx  1 root      root           4352 Dec 29 09:20 find_similar_quotes.php
-rwxrwxrwx  1 root      root           1785 Dec 29 09:20 get_specific_email.php
-rwxrwxrwx  1 root      root           1174 Dec 29 09:20 get_tacpay_quote.php
-rwxrwxrwx  1 root      root           1395 Dec 17 12:26 .htaccess
-rwxrwxrwx  1 root      root        7826122 Dec 23 19:05 __load_balancing.log
drwxrwxrwx  3 root      root           4096 Feb  3 14:09 logs
drwxrwxrwx  3 root      root           4096 Dec 20 22:25 memory-service
-rwxrwxrwx  1 root      root        4421450 Dec 23 19:05 nohup.out
drwxrwxrwx  3 root      root           4096 Dec 24 15:58 public
drwxrwxrwx  4 root      root           4096 Dec  7 18:35 .qodo
-rwxrwxrwx  1 root      root          10732 Dec 12 18:21 README.md
drwxrwxrwx  2 root      root           4096 Dec 23 09:31 responses
-rwxrwxrwx  1 root      root           4587 Dec 29 09:20 search_chroma_finserv.php
-rwxrwxrwx  1 root      root           2686 Dec 29 09:20 search_email.php
-rwxrwxrwx  1 root      root           3119 Dec 29 09:20 search_heather_quote.php
-rwxrwxrwx  1 root      root           2853 Dec 29 09:20 search_pricing_quote.php
drwxrwxrwx  2 root      root           4096 Dec 24 16:18 src
-rwxrwxrwx  1 root      root           3599 Dec 29 09:20 sync_sql_database_emails.php
-rwxrwxrwx  1 root      root              0 Dec  7 18:36 test.php
drwxrwxrwx 13 root      root           4096 Dec 17 01:02 vendor


ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/
ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/public/
ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/src/

Explore chrome-extension, public, and src directories


total 252
drwxrwxrwx  5 root root   4096 Dec 21 14:44 .
drwxrwxrwx 20 root root   4096 Jan 15 12:05 ..
-rwxrwxrwx  1 root root  10744 Dec 29 09:20 background.js
-rwxrwxrwx  1 root root 181568 Dec 29 09:20 contentScript.js
drwxrwxrwx  2 root root   4096 Dec 13 19:24 css
drwxrwxrwx  2 root root   4096 Dec 13 19:41 icons
drwxrwxrwx  2 root root   4096 Dec 13 19:21 lib
-rwxrwxrwx  1 root root   1081 Dec 13 19:21 manifest.json
-rwxrwxrwx  1 root root  11635 Dec 21 02:07 popup.html
-rwxrwxrwx  1 root root  14852 Dec 21 02:08 popup.js
-rwxrwxrwx  1 root root   5349 Dec 13 19:42 README.md
total 51300
drwxrwxrwx  3 root     root         4096 Dec 24 15:58 .
drwxrwxrwx 20 root     root         4096 Jan 15 12:05 ..
-rwxrwxrwx  1 root     root        21088 Dec 17 20:18 ai_analysis.php
-rwxrwxrwx  1 root     root         4224 Dec 17 20:35 ai_chat.php
-rwxrwxrwx  1 root     root        13275 Dec 14 21:06 ai_logs.php
-rwxrwxrwx  1 www-data www-data  2739958 Feb 20 15:39 apiLogs.log
-rwxrwxrwx  1 root     root       173842 Feb 18 22:42 api.php
drwxrwxrwx  2 root     root         4096 Dec 21 17:29 assets
-rwxrwxrwx  1 root     root        20212 Dec 29 09:20 chroma_query.php
-rwxrwxrwx  1 root     root        26733 Dec 29 09:20 client_intelligence.php
-rwxrwxrwx  1 root     root        62813 Dec 18 22:06 contact_dashboard.php
-rwxrwxrwx  1 root     root        27276 Dec 18 00:54 contact_view.php
-rwxrwxrwx  1 root     root        18140 Dec 29 09:20 db_query.php
-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [limit] => 1
    [sort] => Array
        (
            [ea] => -1
        )

)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [limit] => 5
    [sort] => Array
        (
            [ta] => -1
        )

)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [sort] => Array
        (
            [date] => 1
        )

)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [thread_id] => 193464a158d9620a
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [thread_id] => 193464dea4798eec
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [thread_id] => 19350a1acd081161
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [thread_id] => 193545a4809e8ec9
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:36 __ddbgSQ: Array
(
    [thread_id] => 1935a1b0c2eadd69
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [thread_id] => 19a7ed9bc6d36ecd
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [thread_id] => 19a7f0bc2d08f6ee
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [thread_id] => 19ab53ab26868744
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [thread_id] => 19ae5c0cb75e381c
)

-rwxrwxrwx  1 www-data www-data        1 Dec 18 14:38 __ddbgSQ: Array
(
    [thread_id] => 19ae9963e3507fd8
)

-rwxrwxrwx  1 www-data www-data 49182240 Feb 20 15:39 __ddbgSQ.log
-rwxrwxrwx  1 root     root        36369 Feb 18 21:10 index.php
-rwxrwxrwx  1 root     root        19244 Dec 29 09:20 manage_filters.php
-rwxrwxrwx  1 root     root         4125 Dec 29 09:20 oauth_callback.php
total 584
drwxrwxrwx  2 root root  4096 Dec 24 16:18 .
drwxrwxrwx 20 root root  4096 Jan 15 12:05 ..
-rwxrwxrwx  1 root root 24819 Dec 29 09:20 AIAnalyzer.php
-rwxrwxrwx  1 root root  8140 Dec 13 19:18 AlertSystem.php
-rwxrwxrwx  1 root root 18069 Dec 21 10:56 ApolloClient.php
-rwxrwxrwx  1 root root 26946 Dec 29 09:20 ClientInsightsAnalyzer.php
-rwxrwxrwx  1 root root 23230 Dec 29 09:20 ContactAnalyzer.php
-rwxrwxrwx  1 root root 31625 Dec 29 09:20 ContactProfiler.php
-rwxrwxrwx  1 root root 31722 Dec 29 09:20 Database.php
-rwxrwxrwx  1 root root 35530 Dec 21 10:51 DataEnrichment.php
-rwxrwxrwx  1 root root 36712 Dec 29 09:20 EmailSync.php
-rwxrwxrwx  1 root root 10622 Dec 29 09:20 GmailAccount.php
-rwxrwxrwx  1 root root 33320 Dec 29 09:20 GmailClient.php
-rwxrwxrwx  1 root root 18389 Dec 29 09:20 MongoDatabase.php
-rwxrwxrwx  1 root root 20775 Dec 29 09:20 MongoRepository.php
-rwxrwxrwx  1 root root 12710 Dec 21 12:12 PatternDetector.php
-rwxrwxrwx  1 root root 51000 Feb 18 20:09 QueryAdapter.php
-rwxrwxrwx  1 root root 22137 Dec 17 17:43 QuoteAssistant.php
-rwxrwxrwx  1 root root 22417 Dec 17 19:48 QuoteExtractor.php
-rwxrwxrwx  1 root root 68690 Feb 18 20:07 ThreadAnalyzer.php
-rwxrwxrwx  1 root root  9753 Dec 29 09:20 ThreadIdCache.php
-rwxrwxrwx  1 root root 16923 Dec 29 09:20 VectorMemory.php
-rwxrwxrwx  1 root root 16355 Dec 21 01:31 WebScraper.php


Now I have a good overview of the project. Let me understand:

1. **Server-side web app** at `/var/www/mssql.danmarcrm.com/dev1/extension2/`
   - `public/` - main web interface (index.php, api.php, ai_analysis.php, etc.)
   - `src/` - PHP classes (AIAnalyzer, GmailClient, EmailSync, Database, etc.)
   - `chrome-extension/` - old server version of the chrome extension

2. **Chrome extension on server** at `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/`
   - Contains the extension files (background.js, contentScript.js, popup.html, popup.js, manifest.json)

Let me dig into some key files to understand how everything connects together.


Read chrome extension manifest


Email Intelligence - AI Email Analysis

AI-powered email analysis with deception detection, contact profiling, and behavioral pattern recognition


     1→# Email Intelligence System
     2→
     3→AI-powered email analysis system that syncs Gmail emails and analyzes **complete email threads** for:
     4→- Psychological profiling of clients/suppliers
     5→- Deception and inconsistency detection
     6→- Price quote tracking and optimization
     7→- Relationship health monitoring
     8→
     9→## 🎯 Key Feature: Thread-Based Analysis
    10→
    11→Unlike traditional email analysis, this system analyzes **entire conversations** (email threads) together:
    12→
    13→```
    14→Example thread:
    15→━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    16→Email #1 (Dec 10): Client asks for quote
    17→Email #2 (Dec 10): You send quote: €5,000
    18→Email #3 (Dec 11): Client says budget is €3,000
    19→Email #4 (Dec 11): You offer €4,000
    20→Email #5 (Dec 12): Client accepts
    21→━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    22→
    23→Claude AI sees ALL 5 emails together and detects:
    24→✓ Negotiation pattern (started high, settled middle)
    25→✓ Client's price sensitivity (very high)
    26→✓ Your flexibility (20% discount given)
    27→✓ No inconsistencies detected
    28→```
    29→
    30→## 🚀 Quick Start
    31→
    32→### 1. Installation (Already Done!)
    33→
    34→```bash
    35→# Database created ✓
    36→# Tables created ✓
    37→# Composer dependencies installed ✓
    38→```
    39→
    40→### 2. Configuration Needed
    41→
    42→You need to provide:
    43→
    44→#### a) Gmail OAuth Credentials
    45→1. Go to https://console.cloud.google.com/
    46→2. Create project → Enable Gmail API
    47→3. Create OAuth 2.0 credentials
    48→4. Download JSON → Save as `config/oauth_credentials.json`
    49→
    50→Full guide: See "Gmail OAuth Setup" section below
    51→
    52→#### b) Claude API Key (Already Set!)
    53→- ✓ Your API key is configured in `config/config.php`
    54→
    55→#### c) Email Filters (Already Set!)
    56→- ✓ Filter added: `et@digitalj2.com`
    57→- Add more in `config/config.php` → `EMAIL_FILTER_ADDRESSES`
    58→
    59→### 3. Connect Gmail
    60→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

# Email Intelligence System

AI-powered email analysis system that syncs Gmail emails and analyzes **complete email threads** for:
- Psychological profiling of clients/suppliers
- Deception and inconsistency detection
- Price quote tracking and optimization
- Relationship health monitoring

## 🎯 Key Feature: Thread-Based Analysis

Unlike traditional email analysis, this system analyzes **entire conversations** (email threads) together:

```
Example thread:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Email #1 (Dec 10): Client asks for quote
Email #2 (Dec 10): You send quote: €5,000
Email #3 (Dec 11): Client says budget is €3,000
Email #4 (Dec 11): You offer €4,000
Email #5 (Dec 12): Client accepts
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Claude AI sees ALL 5 emails together and detects:
✓ Negotiation pattern (started high, settled middle)
✓ Client's price sensitivity (very high)
✓ Your flexibility (20% discount given)
✓ No inconsistencies detected
```

## 🚀 Quick Start

### 1. Installation (Already Done!)

```bash
# Database created ✓
# Tables created ✓
# Composer dependencies installed ✓
```

### 2. Configuration Needed

You need to provide:

#### a) Gmail OAuth Credentials
1. Go to https://console.cloud.google.com/
2. Create project → Enable Gmail API
3. Create OAuth 2.0 credentials
4. Download JSON → Save as `config/oauth_credentials.json`

Full guide: See "Gmail OAuth Setup" section below

#### b) Claude API Key (Already Set!)
- ✓ Your API key is configured in `config/config.php`

#### c) Email Filters (Already Set!)
- ✓ Filter added: `et@digitalj2.com`
- Add more in `config/config.php` → `EMAIL_FILTER_ADDRESSES`

### 3. Connect Gmail


Now I have a good understanding of the project. Let me provide the user with an overview.

The project is:
1. **Email Intelligence System** - AI-powered email analysis that syncs Gmail emails and analyzes complete email threads
2. It has a **web app** at `https://mssql.danmarcrm.com/dev1/extension2/public/`
3. It has a **Chrome extension** (both server-side at `/chrome-extension/` and local on the user's computer at `/Users/dan/Documents/extension2/extension2v1/chrome-extension`)

The chrome extension:
- Runs on Gmail (`https://mail.google.com/*`)

- Communicates with the server, and includes popup.html, background.js, and contentScript.js for its functionality

The server-side architecture separates the public-facing web pages from the backend PHP classes that handle Gmail syncing, AI analysis, and MongoDB operations.

Let me save this to memory and then give the user a summary.


Here's an overview of what's on the server:

## Email Intelligence System - Project Structure

### Web App (`/public/`)
- [index.php](public/index.php) - Main dashboard
- [api.php](public/api.php) - REST API (recently modified Feb 18)
- [ai_analysis.php](public/ai_analysis.php) - AI analysis interface
- [contact_dashboard.php](public/contact_dashboard.php) - Contact management
- [client_intelligence.php](public/client_intelligence.php) - Client insights

### PHP Classes (`/src/`)
- [GmailClient.php](src/GmailClient.php) / [EmailSync.php](src/EmailSync.php) - Gmail integration
- [ThreadAnalyzer.php](src/ThreadAnalyzer.php) - Thread-based AI analysis (recently modified Feb 18)
- [QueryAdapter.php](src/QueryAdapter.php) - Database queries (recently modified Feb 18)
- [Database.php](src/Database.php) / [MongoDatabase.php](src/MongoDatabase.php) - Dual DB support

### Chrome Extension (`/chrome-extension/` - server copy)
- Manifest V3 extension targeting `mail.google.com`
- Connects back to `mssql.danmarcrm.com`
- Files: `background.js`, `contentScript.js`, `popup.html`, `popup.js`

### AI APIs (`/aiapi/`)
- `api_opus/` - Claude Opus
- `api_grok/` - Grok
- `api_composer/` - Composer
- `api_codex51/` - Codex

The server chrome-extension copy (last modified Dec 21) appears to be older than the local one on your Mac. The most recently active files are `api.php`, `ThreadAnalyzer.php`, and `QueryAdapter.php` (all Feb 18).

What would you like to work on?


pls at first write a very short description in server so we know what developments we have and where


The user wants me to write a short description file on the server summarizing the project structure and what developments exist. Let me look at a few more key files to get a better understanding before writing the description.


Bash

ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/ 2>/dev/null
ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/config/ 2>/dev/null
ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/ 2>/dev/null

Check assets, config, and aiapi directories


total 152
drwxrwxrwx 2 root root   4096 Dec 21 17:29 .
drwxrwxrwx 3 root root   4096 Dec 24 15:58 ..
-rwxrwxrwx 1 root root 128119 Feb 18 21:13 app.js
-rwxrwxrwx 1 root root  14373 Dec 21 13:06 style.css
total 32
drwxrwxrwx  2 root     root      4096 Dec 21 01:28 .
drwxrwxrwx 20 root     root      4096 Jan 15 12:05 ..
-rwxrwxrwx  1 root     root     12162 Dec 29 09:20 config.php
-rwxrwxrwx  1 www-data www-data   556 Dec 17 10:17 gmail_token_dbogdan_digitalj2_com.json
-rw-------  1 www-data www-data   558 Feb 20 15:34 gmail_token.json
-rwxrwxrwx  1 root     root       456 Dec 11 13:35 oauth_credentials.json
total 44
drwxrwxrwx  8 root      root      4096 Jan 15 12:05 .
drwxrwxrwx 20 root      root      4096 Jan 15 12:05 ..
drwxrwxrwx  7 root      root      4096 Dec 21 00:04 api_codex51
drwxrwxrwx  7 root      root      4096 Dec 21 00:05 api_composer
drwxrwxrwx  8 root      root      4096 Dec 21 00:06 api_grok
drwxrwxrwx  7 root      root      4096 Dec 21 00:08 api_opus
drwxrwxrwx  2 root      root      4096 Dec 27 23:00 .claude
-rwxr--r--  1 danbogdan danbogdan 6148 Jan 15 12:05 .DS_Store
drwxrwxrwx  4 root      root      4096 Dec 27 21:51 .qodo


head -5 /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/popup.js
head -5 /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/background.js
stat /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/contentScript.js | grep Modify

Check chrome extension file headers and dates


head: invalid trailing option -- 5
Try 'head --help' for more information.


stat /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/contentScript.js | grep Modify
stat /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/popup.js | grep Modify
stat /var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js | grep Modify

Get modification dates of key files


grep: stat: No such file or directory
grep: stat: No such file or directory


Get file dates for key JS files


-rwxrwxrwx 1 root root 181568 Dec 29 09:20 /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/contentScript.js
-rwxrwxrwx 1 root root  14852 Dec 21 02:08 /var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/popup.js
-rwxrwxrwx 1 root root 128119 Feb 18 21:13 /var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js


Now I have enough to write a clear description file.


Write

# Email Intelligence System – Project Overview

**Live URL:** https://mssql.danmarcrm.com/dev1/extension2/public/

---

## What This Is

AI-powered Gmail integration that syncs email threads and analyzes them for:
- Psychological profiling of contacts
- Deception / inconsistency detection
- Price quote tracking
- Relationship health monitoring

Uses Claude AI (Anthropic) to analyze **entire email threads** in context, not individual emails.

---

## Developments & Locations

### 1. Web App (main interface)
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
**URL:** https://mssql.danmarcrm.com/dev1/extension2/public/

Key files:
- `index.php` – Main email dashboard (last updated Feb 18)
- `api.php` – REST API used by both web app and chrome extension (last updated Feb 18)
- `ai_analysis.php` – AI thread analysis interface
- `contact_dashboard.php` – Contact management view
- `client_intelligence.php` – Client insights & profiling
- `assets/app.js` – Frontend JavaScript bundle (last updated Feb 18)
- `assets/style.css` – Styles

### 2. PHP Backend Classes
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`

Key classes:
- `ThreadAnalyzer.php` – Core AI analysis engine (last updated Feb 18)
- `QueryAdapter.php` – Smart DB query layer (last updated Feb 18)
- `GmailClient.php` / `EmailSync.php` – Gmail OAuth + sync
- `Database.php` / `MongoDatabase.php` – SQL + MongoDB support
- `ContactProfiler.php` / `ContactAnalyzer.php` – Contact intelligence
- `AIAnalyzer.php` – AI prompt management
- `VectorMemory.php` – Chroma vector search integration

### 3. Chrome Extension (server copy – older)
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/`
**Last updated:** Dec 21 – Dec 29, 2025

Manifest V3 extension that runs on `mail.google.com` and calls the server API.
- `contentScript.js` – Injected into Gmail UI
- `popup.html` / `popup.js` – Extension popup
- `background.js` – Service worker

> **Note:** The active chrome extension development is on the local Mac at:
> `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
> The server copy is a snapshot from late December 2025.

### 4. AI API Integrations
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`

Separate API wrappers for multiple AI providers:
- `api_opus/` – Claude Opus (Anthropic)
- `api_grok/` – Grok (xAI)
- `api_composer/` – Composer
- `api_codex51/` – Codex 51

### 5. Config
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`
- `config.php` – API keys, DB credentials, email filters
- `oauth_credentials.json` – Gmail OAuth app credentials
- `gmail_token.json` – Active Gmail OAuth token (auto-refreshed)

---

## Tech Stack

- **Backend:** PHP (classes in `src/`)
- **Databases:** MongoDB (email threads) + SQL (contacts/CRM)
- **AI:** Claude API (primary), with Grok/Codex alternatives in `aiapi/`
- **Vector search:** Chroma DB (via `VectorMemory.php`)
- **Frontend:** Vanilla JS + PHP-rendered HTML
- **Chrome Extension:** Manifest V3, targets Gmail

---

## Most Recently Active Files (Feb 2026)

| File | Last Modified |
|------|--------------|
| `config/gmail_token.json` | Feb 20 (today – auto-refreshed) |
| `public/api.php` | Feb 18 |
| `src/ThreadAnalyzer.php` | Feb 18 |
| `src/QueryAdapter.php` | Feb 18 |
| `public/index.php` | Feb 18 |
| `public/assets/app.js` | Feb 18 |


File created successfully at: /var/www/mssql.danmarcrm.com/dev1/extension2/PROJECT_OVERVIEW.md

# Email Intelligence System – Project Overview

**Live URL:** https://mssql.danmarcrm.com/dev1/extension2/public/

---

## What This Is

AI-powered Gmail integration that syncs email threads and analyzes them for:
- Psychological profiling of contacts
- Deception / inconsistency detection
- Price quote tracking
- Relationship health monitoring

Uses Claude AI (Anthropic) to analyze **entire email threads** in context, not individual emails.

---

## Developments & Locations

### 1. Web App (main interface)
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
**URL:** https://mssql.danmarcrm.com/dev1/extension2/public/

Key files:
- `index.php` – Main email dashboard (last updated Feb 18)
- `api.php` – REST API used by both web app and chrome extension (last updated Feb 18)
- `ai_analysis.php` – AI thread analysis interface
- `contact_dashboard.php` – Contact management view
- `client_intelligence.php` – Client insights & profiling
- `assets/app.js` – Frontend JavaScript bundle (last updated Feb 18)
- `assets/style.css` – Styles

### 2. PHP Backend Classes
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`

Key classes:
- `ThreadAnalyzer.php` – Core AI analysis engine (last updated Feb 18)
- `QueryAdapter.php` – Smart DB query layer (last updated Feb 18)
- `GmailClient.php` / `EmailSync.php` – Gmail OAuth + sync
- `Database.php` / `MongoDatabase.php` – SQL + MongoDB support
- `ContactProfiler.php` / `ContactAnalyzer.php` – Contact intelligence
- `AIAnalyzer.php` – AI prompt management
- `VectorMemory.php` – Chroma vector search integration

### 3. Chrome Extension (server copy – older)
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/`
**Last updated:** Dec 21 – Dec 29, 2025

Manifest V3 extension that runs on `mail.google.com` and calls the server API.
- `contentScript.js` – Injected into Gmail UI
- `popup.html` / `popup.js` – Extension popup
- `background.js` – Service worker

> **Note:** The active chrome extension development is on the local Mac at:
> `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
> The server copy is a snapshot from late December 2025.

### 4. AI API Integrations
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`

Separate API wrappers for multiple AI providers:
- `api_opus/` – Claude Opus (Anthropic)
- `api_grok/` – Grok (xAI)
- `api_composer/` – Composer
- `api_codex51/` – Codex 51

### 5. Config
**Path:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`
- `config.php` – API keys, DB credentials, email filters
- `oauth_credentials.json` – Gmail OAuth app credentials
- `gmail_token.json` – Active Gmail OAuth token (auto-refreshed)

---

## Tech Stack

- **Backend:** PHP (classes in `src/`)
- **Databases:** MongoDB (email threads) + SQL (contacts/CRM)
- **AI:** Claude API (primary), with Grok/Codex alternatives in `aiapi/`
- **Vector search:** Chroma DB (via `VectorMemory.php`)
- **Frontend:** Vanilla JS + PHP-rendered HTML
- **Chrome Extension:** Manifest V3, targets Gmail

---

## Most Recently Active Files (Feb 2026)

| File | Last Modified |
|------|--------------|
| `config/gmail_token.json` | Feb 20 (today – auto-refreshed) |
| `public/api.php` | Feb 18 |
| `src/ThreadAnalyzer.php` | Feb 18 |
| `src/QueryAdapter.php` | Feb 18 |
| `public/index.php` | Feb 18 |
| `public/assets/app.js` | Feb 18 |


Now let me also save the project context to memory for future sessions:


# Email Intelligence System – Project Memory

## Project Summary
AI-powered Gmail email thread analysis system with Chrome extension.
See full overview: `/var/www/mssql.danmarcrm.com/dev1/extension2/PROJECT_OVERVIEW.md`

## Key Paths
- **Server root:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`
- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/`
- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
- **Config:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`

## Live URLs
- https://mssql.danmarcrm.com/dev1/extension2/
- https://mssql.danmarcrm.com/dev1/extension2/public/

## Tech Stack
- Backend: PHP
- DBs: MongoDB (emails) + SQL (CRM/contacts)
- AI: Claude API primary; Grok/Codex alternatives in aiapi/
- Vector search: Chroma DB
- Chrome Extension: Manifest V3, targets mail.google.com

## Most Active Files (as of Feb 2026)
- `public/api.php` – REST API
- `src/ThreadAnalyzer.php` – Core AI analysis
- `src/QueryAdapter.php` – DB query layer
- `public/index.php` – Main dashboard
- `public/assets/app.js` – Frontend JS bundle


File created successfully at: /root/.claude/projects/-var-www-mssql-danmarcrm-com-dev1-extension2/memory/MEMORY.md

# Email Intelligence System – Project Memory

## Project Summary
AI-powered Gmail email thread analysis system with Chrome extension.
See full overview: `/var/www/mssql.danmarcrm.com/dev1/extension2/PROJECT_OVERVIEW.md`

## Key Paths
- **Server root:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`
- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extension/`
- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
- **Config:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`

## Live URLs
- https://mssql.danmarcrm.com/dev1/extension2/
- https://mssql.danmarcrm.com/dev1/extension2/public/

## Tech Stack
- Backend: PHP
- DBs: MongoDB (emails) + SQL (CRM/contacts)
- AI: Claude API primary; Grok/Codex alternatives in aiapi/
- Vector search: Chroma DB
- Chrome Extension: Manifest V3, targets mail.google.com

## Most Active Files (as of Feb 2026)
- `public/api.php` – REST API
- `src/ThreadAnalyzer.php` – Core AI analysis
- `src/QueryAdapter.php` – DB query layer
- `public/index.php` – Main dashboard
- `public/assets/app.js` – Frontend JS bundle


Done. Created [PROJECT_OVERVIEW.md](PROJECT_OVERVIEW.md) in the server root with:

- **What the system does** – AI Gmail thread analysis
- **5 development areas** with paths, URLs, and key files for each
- **Note about the chrome extension split** – server copy is a Dec 2025 snapshot, active dev is on local Mac
- **Most recently active files** table (Feb 2026)

Also saved the project context to memory so future sessions will have this context without re-exploring.


ok, but pls add the content about extension in my mac, can you do this?


The user wants me to look at the Chrome extension on their Mac at `/Users/dan/Documents/extension2/extension2v1/chrome-extension` and add information about it to the PROJECT_OVERVIEW.md. However, I'm running on a Linux server and don't have access to the user's Mac filesystem. Let me check if that path is somehow accessible or mounted.


Bash

Check if Mac path is accessible from server


Error: Exit code 2
ls: cannot access '/Users/dan/Documents/extension2/extension2v1/chrome-extension': No such file or directory

ls: cannot access '/Users/dan/Documents/extension2/extension2v1/chrome-extension': No such file or directory


The Mac filesystem isn't accessible from the server — I can only see what's on the Linux server.

To add that content I'd need you to either:

1. **Copy/sync the Mac extension to the server** — e.g. `rsync` or `scp` from your Mac to the server, and I can explore it there
2. **Share a file listing** — run this on your Mac terminal and paste the output here:
   ```bash
   find /Users/dan/Documents/extension2/extension2v1/chrome-extension -type f | sort
   ```
3. **Share the manifest.json** — at minimum paste the contents of `chrome-extension/manifest.json` from your Mac so I can see the version, permissions, and structure

Which is easiest for you?


fyi: I renamed the chrome extension to chrome-extensionTill20251221
tried the below sync but seems not to cip


The user is saying they renamed the chrome extension to `chrome-extensionTill20251221` and tried to sync but it didn't work. Let me check the current state of the directory on the server to see what's there now.


[Request interrupted by user]


seems not to copy
rsync /Users/dan/Documents/extension2/extension2v1/chrome-extension root@hansen.danmarcrm.com:///var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220
skipping directory /Users/dan/Documents/extension2/extension2v1/chrome-extension


The user is trying to rsync from their Mac to the server, but rsync is skipping the directory because they need to add the `-r` (recursive) flag. Let me suggest the correct rsync command.


The issue is `rsync` needs the `-r` (recursive) flag to copy directories. Run this on your Mac terminal:

```bash
rsync -r /Users/dan/Documents/extension2/extension2v1/chrome-extension root@hansen.danmarcrm.com:/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220
```

Or with progress so you can see it working:

```bash
rsync -rv /Users/dan/Documents/extension2/extension2v1/chrome-extension root@hansen.danmarcrm.com:/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220
```

(`-r` = recursive, `-v` = verbose/show files being copied)

Once it's synced, let me know and I'll explore it and update the `PROJECT_OVERVIEW.md`.


great not is copied.
What we need to implement at first, is a way to send to AI similar as we have in the chrome extension as Ask AI tab ways to send to one of the selected AI models from the dropdown either a thread, multiple threads or all threads where one contact is part of.
We could use some search mechanism, and add to chat or context or how would be better.. what would you propose?
The idea is for example stephanie.k***@asendia.com for her I could say as example grab all her emails and check how much we quoted, her profile and ask how much to quote for the latest task or task X
Or grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david


Let me explore the codebase to understand the current AI chat functionality and the chrome extension's "Ask AI" tab.


Task

Explore web app AI chat

Prompt:
Explore the web app's AI-related features thoroughly. I need to understand:

1. How the current AI chat works in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_chat.php`
2. How AI analysis works in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_analysis.php`
3. The AI-related API endpoints in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - search for functions like "analyze", "chat", "ai", "ask"
4. How threads are fetched and displayed in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php`
5. The frontend JS in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - search for AI chat, analysis, thread selection features

Focus on understanding: what AI chat UI exists, how threads are selected, how context is sent to AI, and what API endpoints handle AI requests.


Explore web app AI chat


Explore chrome extension Ask AI

Prompt:
Explore the Chrome extension's "Ask AI" tab functionality thoroughly. Look at:

1. `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/chrome-extension/` - explore the full directory structure
2. Look at popup.html and popup.js for the "Ask AI" tab UI
3. Look at any JS files that handle AI chat, model selection dropdown, thread context sending
4. Look at background.js for API calls to the server
5. Look at contentScript.js for how it grabs email thread data from Gmail

I need to understand: how does the chrome extension's "Ask AI" tab work? What models are available in the dropdown? How does it send thread context to the AI? What's the UI layout?


Explore chrome extension Ask AI


Explore contact/thread search

Prompt:
Explore how contacts and threads are searched/queried in the backend. Look at:

1. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/QueryAdapter.php` - how threads are queried, filtered by contact
2. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/ThreadAnalyzer.php` - how thread analysis works
3. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/ContactProfiler.php` - how contact profiles are built
4. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/MongoDatabase.php` and `MongoRepository.php` - how email threads are stored/queried in MongoDB
5. `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - search for endpoints related to search, contacts, threads, filtering

I need to understand: how can we query all threads for a specific contact email? How are threads stored? What data structure do they have? How does the existing search work?


Explore contact/thread search


Excellent! Now I have all the information needed. Let me provide a comprehensive analysis:

## Summary: Backend Thread & Contact Query Architecture

Based on my exploration of the codebase, here's a complete overview of how threads and contacts are searched and queried:

### 1. **Core Query Layer: QueryAdapter.php**
This is the main abstraction class that handles both MySQL and MongoDB queries automatically:

**Key Methods for Thread Querying:**
- `getThreads($contactId, $search, $limit, $offset)` - Gets paginated list of threads with aggregated data
  - Filters by contact ID (optional)
  - Searches thread subjects
  - Returns: thread metadata (email_count, dates, analysis status)

- `getThreadDetails($threadId)` - Gets full thread with all emails and analysis
  - Returns complete conversation + AI analysis + key insights

- `getThreadParticipants($threadId, $userEmail)` - Extracts all participants from thread
  - Analyzes FROM, TO, CC fields across all emails
  - Builds participant statistics (sent/received counts)

**Key Methods for Contact Querying:**
- `getContactsWithProfiles($search, $limit, $offset)` - Lists contacts with profile aggregations
  - Searches by name, email, company
  - JOINs contact_profiles data

- `getContactWithDetails($contactId)` - Single contact with full intelligence
  - Recent emails
  - Quotes history
  - Profile data

### 2. **Thread Query Structure**

**How threads are stored/identified:**
```
Table: emails
- thread_id (VARCHAR 255, indexed) - Gmail's thread ID
- contact_id (FK to contacts)
- date (indexed for ordering)

Table: thread_analysis
- thread_id (UNIQUE, NOT NULL) - One record per thread
- contact_id - Primary contact in the thread
- email_count - Total emails in thread
- is_analyzed, needs_reanalysis - Status flags
- last_email_id - Stores link to email_analysis
- summary, raw_analysis - Full AI analysis
```

**Query Pattern to Get All Threads for a Contact:**

**SQL Mode:**
```sql
SELECT ta.*, c.name as contact_name, c.email as contact_email
FROM thread_analysis ta
LEFT JOIN contacts c ON ta.contact_id = c.id
WHERE ta.contact_id = ?
ORDER BY ta.analyzed_at DESC
LIMIT 50
```

**MongoDB Mode (via aggregation pipeline):**
```
Match: { contact_id: contactId }
Lookup: contacts collection
Unwind: contact data
Sort: { analyzed_at: -1 }
Limit: 50
```

### 3. **Getting All Threads for a Specific Email Address**

**To query threads by contact email:**

```php
// 1. Resolve email to contact_id
$contact = $db->fetchOne("SELECT id FROM contacts WHERE email = ?", [$email]);

// 2. Get all threads for that contact
$threads = $adapter->getThreads(
    $contact['id'],  // contactId
    '',              // no search filter
    50,              // limit
    0                // offset
);

// Returns: { 'threads' => [...], 'total' => int }
```

### 4. **Thread Data Structure**

Each thread record contains:
```php
[
    'thread_id'        => 'abc123...',      // Gmail thread ID
    'contact_id'       => 123,
    'contact_name'     => 'John Doe',
    'contact_email'    => 'john@example.com',
    'email_count'      => 5,
    'inbound_count'    => 3,
    'outbound_count'   => 2,
    'subject'          => 'Project Proposal',
    'first_date'       => '2024-01-15 10:30:00',
    'last_date'        => '2024-01-20 15:45:00',
    'is_analyzed'      => 1,
    'needs_reanalysis' => 0,
    'summary'          => 'Client discussion about Q1 deliverables...',
    'raw_analysis'     => { /* Full JSON analysis */ }
]
```

### 5. **Email Thread Storage Structure**

**Emails table:**
- Stores individual emails with `thread_id` to group conversations
- Multiple emails can have same `thread_id` (e.g., email 1, reply, counter-reply)
- Each email has `contact_id` to link to the contact

**Thread Analysis table:**
- One record per unique `thread_id`
- Stores aggregated analysis of entire conversation
- Links to `contact_id` (primary contact in thread)

### 6. **How Existing Search Works**

**API Endpoint: `?action=threads`**
```php
// From api.php:383-411
$contactId = (int)($_GET['contact'] ?? 0);
$search = trim($_GET['search'] ?? '');
$limit = (int)($_GET['limit'] ?? 20);

$adapter = QueryAdapter::getInstance();
$result = $adapter->getThreads(
    $contactId ?: null,    // Filter by contact
    $search,               // Search subject
    $limit,
    $offset
);
```

**Supported Filters:**
- By contact ID: `?action=threads&contact=123`
- By subject: `?action=threads&search=proposal`
- By page: `?action=threads&page=2&limit=20`
- Combined: `?action=threads&contact=123&search=price`

### 7. **Thread Analysis Pipeline**

**ThreadAnalyzer.php workflow:**

1. **Get threads needing analysis:**
```php
SELECT e.thread_id, COUNT(*) as email_count
FROM emails e
LEFT JOIN thread_analysis ta ON e.thread_id = ta.thread_id
WHERE ta.id IS NULL OR ta.needs_reanalysis = 1
GROUP BY e.thread_id
```

2. **Fetch all emails in thread:**
```php
SELECT * FROM emails WHERE thread_id = ? ORDER BY date ASC
```

3. **Run AI analysis** on full conversation

4. **Store results** in `thread_analysis` + `email_analysis` + `thread_participants`

### 8. **MongoDB Equivalent Queries**

**Get threads for a contact:**
```javascript
db.thread_analysis.aggregate([
  { $match: { contact_id: 123 } },
  { $lookup: {
      from: "contacts",
      localField: "contact_id",
      foreignField: "id",
      as: "contact"
  } },
  { $unwind: { path: "$contact", preserveNullAndEmptyArrays: true } },
  { $sort: { analyzed_at: -1 } },
  { $limit: 50 }
])
```

**Get all emails in a thread:**
```javascript
db.emails.find({ thread_id: "abc123" }).sort({ date: 1 })
```

### 9. **Key Query Patterns Summary**

| Purpose | Method | Parameters |
|---------|--------|------------|
| List threads for contact | `getThreads()` | contactId, search, limit, offset |
| Get thread details | `getThreadDetails()` | threadId |
| List contacts with profiles | `getContactsWithProfiles()` | search, limit, offset |
| Get contact detail | `getContactWithDetails()` | contactId |
| Get thread participants | `getThreadParticipants()` | threadId, userEmail |
| Get emails for contact | `getEmailsWithAnalysis()` | contactId, limit, offset |
| Search emails | `searchEmails()` | query, contactId (opt), limit |

### 10. **Database Indexes for Performance**

**emails table:**
- `idx_thread_id` - Fast thread lookups
- `idx_contact_id` - Fast contact email lookups
- `idx_date` - Timeline sorting
- Compound: `(thread_id, date)` - Thread with chronological order

**thread_analysis table:**
- `idx_thread_id` - Unique constraint
- `idx_contact_id` - Filter by contact
- `idx_needs_reanalysis` - Find threads needing analysis

This architecture enables efficient searching across both MySQL and MongoDB with a unified interface through the QueryAdapter pattern!

agentId: a86d6f4 (for resuming to continue this agent's work if needed)
<usage>total_tokens: 98275
tool_uses: 14
duration_ms: 39436</usage>

Prompt:
Explore how contacts and threads are searched/queried in the backend. Look at:

1. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/QueryAdapter.php` - how threads are queried, filtered by contact
2. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/ThreadAnalyzer.php` - how thread analysis works
3. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/ContactProfiler.php` - how contact profiles are built
4. `/var/www/mssql.danmarcrm.com/dev1/extension2/src/MongoDatabase.php` and `MongoRepository.php` - how email threads are stored/queried in MongoDB
5. `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - search for endpoints related to search, contacts, threads, filtering

I need to understand: how can we query all threads for a specific contact email? How are threads stored? What data structure do they have? How does the existing search work?


Perfect! Now I have all the information I need. Let me create a comprehensive report.

## Chrome Extension "Ask AI" Tab Functionality - Complete Analysis

I've thoroughly explored the Chrome extension's "Ask AI" tab functionality. Here's a comprehensive breakdown:

### Directory Structure

**Location:** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/chrome-extension/`

**Key Files:**
- `popup.html` & `popup.js` - Browser action popup UI
- `contentScript.js` - Gmail page injection & sidebar UI
- `background.js` - Service worker handling API calls
- `manifest.json` - Extension config
- `css/panel.css` - Styling for sidebar panels

---

## 1. **Ask AI Tab UI Layout**

The extension has **TWO Ask AI implementations**:

### A. **Sidebar "Ask AI" Tab** (In Gmail when thread is open)
Located in `contentScript.js`, function `loadAIChat()` (lines 3318-3448)

**UI Structure:**
```
┌─ Thread Context Header (if thread selected)
│  └─ "ASKING ABOUT" section with:
│     - Thread subject
│     - Participant names
├─ Chat History Container
│  └─ Scrollable area (max-height: 350px) for Q&A
├─ Quick Questions Section
│  └─ Pre-built buttons:
│     • "Summarize thread"
│     • "Action items?"
│     • "Red flags?"
│     • "Sentiment?"
│     • "Unanswered?"
└─ Question Input Area
   ├─ Text input field (placeholder: "Ask about this conversation...")
   └─ "Ask" button (purple gradient)
```

### B. **Popup "Ask AI" Tab** (Browser extension popup)
Located in `popup.html` (lines 393-494)

**UI Structure:**
```
┌─ Provider Selection (2-column grid)
│  ├─ "🏢 Provider" dropdown
│  └─ "🧠 Model" dropdown
├─ Current AI Selection Display
│  └─ Shows "Claude / Sonnet 4.5" + "Ready" badge
├─ Optional Context Input
│  └─ Email address or thread ID field
├─ Question Input
│  └─ Textarea (height: 80px) with examples
├─ Submit Button ("🚀 Ask AI")
├─ Response Area
│  └─ Scrollable (max-height: 200px) with provider metadata
├─ Loading Indicator
├─ Error Display
└─ Quick Questions
   ├─ "📋 Summary"
   ├─ "🔥 Urgent"
   ├─ "💰 Quotes"
   └─ "📅 Follow-ups"
```

---

## 2. **Available AI Models**

Defined in both `popup.js` (lines 366-414) and `contentScript.js` (lines 18-56):

### Claude (Default)
- `claude-sonnet-4-5-20250929` - Sonnet 4.5
- `claude-opus-4-5-20251101` - Opus 4.5 (Best)
- `claude-haiku-4-5-20251001` - Haiku 4.5 (Fast)

### OpenAI
- `gpt-5.2` - Latest
- `gpt-5.2-pro` - Pro (Best)
- `gpt-5-mini` - Mini
- `gpt-5-nano` - Nano (Fast)
- `gpt-5` - Standard
- `gpt-4.1` - Previous

### Google Gemini
- `gemini-3-pro` - Pro (Latest)
- `gemini-3-flash` - Flash
- `gemini-2.5-pro` - Gemini 2.5 Pro
- `gemini-2.5-flash` - Gemini 2.5 Flash
- `gemini-2.5-flash-lite` - Flash-Lite (Fast)

### Grok
- `grok-4` - Latest
- `grok-3` - Standard
- `grok-3-mini` - Mini

### DeepSeek
- `deepseek-chat` - V3.2 Chat
- `deepseek-reasoner` - V3.2 Reasoner (Thinking)

### Qwen
- `qwen-max-latest` - Max
- `qwen-plus-latest` - Plus
- `qwen-turbo-latest` - Turbo (Fast)
- `qwq-32b` - QwQ 32B (Reasoning)

### Mistral
- `mistral-large-latest` - Large
- `mistral-medium-latest` - Medium
- `mistral-small-latest` - Small
- `codestral-latest` - Codestral (Code)

### Cohere
- `command-a-03-2025` - Command A (Latest)
- `command-r7b-12-2024` - Command R7B
- `command-r-plus-08-2024` - Command R+

---

## 3. **Model Selection & Dropdown**

### Popup (`popup.js`, lines 527-555)

**`updateModelDropdown()` function:**
- Triggered when provider changes
- Populates `#ai-model` select with models for selected provider
- Defaults to Claude provider
- Updates display text dynamically

**Provider-to-Model Mapping:**
- Hardcoded mapping in `PROVIDER_MODELS` object (lines 366-414)
- Synced with backend API (comment: "synced with api_keys.php - Dec 30, 2024")

### Sidebar (`contentScript.js`, lines 189-207)

**`updateModelDropdownInSidebar()` function:**
- Similar implementation for sidebar AI tab
- Persists selection to Chrome storage
- Updates model options when provider changes

---

## 4. **Thread Context Sending**

### How Email Thread Data is Sent

#### **Sidebar Implementation** (`contentScript.js`, lines 3453-3502)

```javascript
askAI(question) {
  // 1. Display question in chat
  // 2. Resolve thread ID (converts URL format to real Gmail ID)
  // 3. Send message to background:
  sendMessage('askAI', {
    question: question,
    thread_id: currentThreadId,      // Real Gmail thread ID
    contact_id: currentContactId      // Contact from database
  });
  // 4. Display AI response in chat
}
```

#### **Popup Implementation** (`popup.js`, lines 622-713)

```javascript
askAIQuestion() {
  // 1. Get inputs:
  const question = #ai-question-input.value
  const contextInput = #ai-context-input.value  // Optional email/thread ID
  const provider = #ai-provider.value
  const model = #ai-model.value

  // 2. Build context message:
  let fullContent = "You are an AI assistant..."

  // 3. Include conversation history (ChatGPT-like memory)
  const conversationContext = buildAIConversationContext()

  // 4. Fetch email context if provided:
  if (contextInput) {
    const emailContext = await fetchEmailContext(contextInput)
    // Returns thread details or contact info with recent threads
  }

  // 5. Send to AI API:
  fetch(AI_API_BASE, {
    method: 'POST',
    body: {
      user_content: fullContent,
      providers: [provider],
      [`model_${provider}`]: model
    }
  });
}
```

### Context Data Structure

**From `fetchEmailContext()` (popup.js, lines 558-619):**

**If Thread ID provided:**
```
=== EMAIL THREAD CONTEXT ===
Subject: [thread subject]
Emails in thread: N

--- Email 1 from [sender] (date) ---
[email body - truncated to 1000 chars]
=== END OF THREAD ===
```

**If Email provided:**
```
=== CONTACT CONTEXT ===
Name: [contact name]
Email: [email]
Company: [company]

Recent threads (N):
- [subject] (X emails, last_date)
=== END OF CONTACT ===
```

---

## 5. **Server API Integration**

### Popup API (`popup.js`, line 4, 359)

**Main API Base:**
```
https://mssql.danmarcrm.com/dev1/extension2v1/public/api.php
```

**AI Query Endpoint:**
```
https://mssql.danmarcrm.com/dev1/extension2v1/aiapi/api_opus/api/query.php
```

### Background Script API (`background.js`, lines 105-130)

**Sidebar implementation uses background service worker:**
```javascript
askContactAI: (params) => fetch(`${API_BASE}?action=ask_contact_ai`, {
  method: 'POST',
  body: {
    contact_id: params.contact_id,
    thread_id: params.thread_id,
    question: params.question,
    provider: params.provider || 'claude',
    model: params.model || 'claude-sonnet-4-5-20250929',
    context_strategy: params.context_strategy || 'smart',
    max_recent_emails: params.max_recent_emails || 20,
    max_historical_threads: params.max_historical_threads || 30,
    vector_search_limit: params.vector_search_limit || 10,
    conversation_history: params.conversation_history || '',
    saved_context: params.saved_context || ''
  }
})
```

---

## 6. **Advanced Features**

### Conversation Memory (ChatGPT-like)

**Popup (`popup.js`, lines 429-525):**
- Stores last 10 conversation exchanges in localStorage
- Key: `ai_extension_conversation`
- Includes: timestamp, question, answer, provider, model
- Automatically included in next queries as context

### Saved Context

**Sidebar (`contentScript.js`, lines 340-405):**
- Users can save important context snippets
- Persisted to Chrome storage (`savedAIContext`)
- Always included in AI requests
- Shows count in conversation display

### Thread ID Resolution

**Sidebar (`contentScript.js`, lines 148-156):**
```javascript
cacheThreadIdResolution(urlId, realId)
// Converts Gmail URL format (FMfcgz...) to real thread IDs
// Caches in Chrome storage for future lookups
// Limit: 500 entries max (to prevent storage bloat)
```

---

## 7. **UI Components**

### Colors & Styling
- **Primary:** Purple gradient (#667eea → #764ba2)
- **Success:** Green (#10b981)
- **Error:** Red (#ef4444)
- **Background:** Light gray (#f9fafb)

### Quick Questions (Sidebar)
All focus on email thread analysis:
1. "Summarize this email thread in bullet points"
2. "What are the key action items and next steps?"
3. "Are there any red flags or concerns in this conversation?"
4. "What is the overall sentiment and tone of this conversation?"
5. "What questions are still unanswered in this thread?"

### Quick Questions (Popup)
Focus on CRM data analysis:
- "Summarize my recent important emails"
- "What urgent matters need my attention?"
- "Find any pricing quotes or proposals"
- "What follow-ups are pending?"

---

## 8. **Key Files Summary**

| File | Purpose | Size |
|------|---------|------|
| `popup.html` | Browser popup UI | 595 lines |
| `popup.js` | Popup logic, AI chat, enrichment | 839 lines |
| `contentScript.js` | Gmail injection, sidebar panels | ~5000 lines |
| `background.js` | API handler, message routing | 345 lines |
| `manifest.json` | Extension permissions | 50 lines |
| `css/panel.css` | Sidebar styling | 206 lines |

---

## 9. **Request/Response Flow**

```
User asks question in "Ask AI" tab
        ↓
[Popup] Or [Sidebar] captures question + model selection
        ↓
Fetches email/thread context (if provided)
        ↓
Builds prompt with conversation history
        ↓
Sends to AI API (query.php for popup, api.php for sidebar)
        ↓
Displays response in chat UI
        ↓
Saves Q&A to conversation history
        ↓
Displays metadata (provider, model, cost, time)
```

---

## Summary

The extension provides two complementary "Ask AI" interfaces:

1. **Sidebar Tab** - Deep context from currently-viewed Gmail thread
2. **Popup Tab** - Flexible queries with optional email context input

Both support 8 AI providers with 20+ model variants, maintain conversation memory, and allow users to save important context for future reference. The popup includes additional CRM features like contact enrichment and email filtering.

agentId: ac81397 (for resuming to continue this agent's work if needed)
<usage>total_tokens: 66292
tool_uses: 17
duration_ms: 67076</usage>

Prompt:
Explore the Chrome extension's "Ask AI" tab functionality thoroughly. Look at:

1. `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/chrome-extension/` - explore the full directory structure
2. Look at popup.html and popup.js for the "Ask AI" tab UI
3. Look at any JS files that handle AI chat, model selection dropdown, thread context sending
4. Look at background.js for API calls to the server
5. Look at contentScript.js for how it grabs email thread data from Gmail

I need to understand: how does the chrome extension's "Ask AI" tab work? What models are available in the dropdown? How does it send thread context to the AI? What's the UI layout?


Perfect! Now I have all the information needed. Let me create a comprehensive report of my findings.

## Comprehensive Analysis: Web App AI-Related Features

Based on my thorough exploration of the codebase, here's a detailed understanding of how the AI chat system works:

---

### 1. **AI Chat User Interface (Frontend)**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2880)

**UI Components:**
- **AI Chat Panel**: A draggable, fixed-position panel (bottom-right) with gradient background
  - Header with context label showing selected mode and subject
  - Mode selector buttons: General, Thread, Contact, Quote, Reply
  - Model dropdown (Claude, GPT-4o, etc.)
  - Message display area with conversation history
  - Quick prompts that change based on chat mode
  - Input textarea with send button

**Chat Modes & Quick Prompts:**
```javascript
const AI_QUICK_PROMPTS = {
    general: ['What are my most at-risk clients?', 'Which threads need urgent attention?', 'Summarize recent activity'],
    thread: ['Summarize this thread', 'What are the key risks?', 'What action should I take next?', 'Is this client trustworthy?', 'What are they really asking for?'],
    contact: ['What is their communication style?', 'Are there any red flags?', 'How should I approach them?', 'What opportunities exist with them?'],
    quote: ['How much should I quote for this project?', 'What is the scope of work?', 'What are the risks?', 'Suggest a project timeline'],
    reply: ['Write a professional reply', 'Write a firm but polite response', 'Write a follow-up email', 'Write a brief acknowledgment']
};
```

**Chat State Object:**
```javascript
const aiChat = {
    isOpen: false,
    mode: 'general',          // Current chat mode
    threadId: null,           // Selected thread (if in thread mode)
    contactId: null,          // Selected contact (if in contact mode)
    emailId: null,            // Specific email (for reply mode)
    threadSubject: null,      // Thread subject for context
    contactName: null,        // Contact name for display
    history: [],              // Conversation history
    isDragging: false         // Panel dragging state
};
```

**Opening AI Chat:**
Three functions activate the AI chat panel with different contexts:
- `openAiChatForThread(threadId, subject, contactId)` - Opens chat with thread context
- `openAiChatForContact(contactId, contactName)` - Opens chat with contact context
- `openAiChatForReply(threadId, emailId, subject)` - Opens chat in reply composition mode

---

### 2. **Thread Selection & Display**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 638-803)

**Thread Workflow:**
1. **Emails Tab** loads list of threads with clickable rows
2. `showThread(threadId)` function fetches full thread data via API
3. Thread display includes:
   - Subject, thread ID, total email count, date range
   - **Two AI buttons:**
     - "💬 Ask AI About This Thread" → Opens thread analysis mode
     - "✍ Compose Reply" → Opens reply composition mode
   - Email timeline showing all emails in chronological order
   - What Claude AI will see (notification box)
   - Analysis results if available (sentiment, trust score, deception score)

**API Call:**
```javascript
const data = await apiCall('thread', { thread_id: threadId });
```

---

### 3. **AI Chat API Endpoint**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` (lines 2310-2491)

**Endpoint:** `POST /api.php?action=ai_chat`

**Request Payload:**
```json
{
    "message": "user question",
    "model": "gpt-4o",
    "mode": "thread|contact|quote|reply|general",
    "history": [{"role": "user", "content": "..."}, ...],
    "thread_id": "optional_thread_id",
    "contact_id": "optional_contact_id",
    "email_id": "optional_email_id"
}
```

**Context Building Process:**

The API builds a comprehensive context block based on the chat mode:

1. **Thread Context** (if `thread_id` provided):
   - Fetches all emails in the thread
   - Includes email sequence with direction (FROM THEM / FROM US)
   - Truncates body text to 800 characters each
   - Includes existing AI thread_analysis summary if available

   ```
   === EMAIL THREAD (N emails) ===
   Email #1 {FROM THEM} (date)
   Subject: ...
   {body text}

   === EXISTING AI ANALYSIS ===
   Summary: ...
   ```

2. **Contact Context** (if `contact_id` provided):
   - Fetches contact name, email, type, company
   - Includes contact profile: trust score, communication style

   ```
   === CONTACT: John Doe (john@company.com) ===
   Trust score: 0.75 | Communication style: direct
   ```

3. **Email Context** (if `email_id` provided, for reply mode):
   - Fetches the specific email to reply to
   - Includes full email content

   ```
   === SPECIFIC EMAIL TO REPLY TO ===
   From: sender@company.com
   Subject: ...
   {body text}
   ```

**Mode-Specific System Instructions:**
```php
$systemInstructions = [
    'thread'  => "You are a business intelligence assistant analyzing an email thread...",
    'contact' => "You are a CRM intelligence assistant analyzing a contact's profile...",
    'quote'   => "You are a business consultant helping estimate project costs...",
    'reply'   => "You are an email writing assistant. Compose professional replies...",
    'general' => "You are a business intelligence assistant with access to email/contact data..."
];
```

---

### 4. **AI Provider Routing & Multi-Model Support**

**Primary Proxy Path:**

The main endpoint routes requests to a proxy API that supports multiple AI providers:

```
URL: https://mssql.danmarcrm.com/dev1/extension2/aiapi/api_codex51/api/index.php
```

**Proxy Payload:**
```json
{
    "action": "ask",
    "user_content": "user message",
    "system": "system instructions with context",
    "models": ["gpt-4o"],
    "providers": ["openai"],
    "history": [last 10 turns of conversation]
}
```

**Proxy Response Handling:**
- Extracts response from `responses[provider_response].response`
- Falls back to `content` or `response` fields
- Returns model name and provider info

**Fallback Method:**

If proxy fails, uses direct `ThreadAnalyzer` class:
```php
$analyzer = new ThreadAnalyzer($chatProvider === 'openai' ? 'openai' : 'claude', $chatModel);
$answer = $analyzer->askClaude($fullPrompt);
```

---

### 5. **Thread Data Fetching Endpoint**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` (lines 417-511)

**Endpoint:** `GET /api.php?action=thread&thread_id=THREADID`

**Returns:**
- All emails in thread with full content
- Thread analysis data (summary, sentiment, trust score, deception score)
- Participants analysis
- Key points, warnings, recommendations
- Business opportunities
- Reply suggestions

**Thread ID Resolution:**
```php
$threadId = resolveThreadId($threadId);
```
Auto-converts long URL thread IDs to short hex IDs using a cache system.

---

### 6. **AI Analysis Dashboard**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_analysis.php`

**Features:**
- Analyze by email address (runs full analysis pipeline)
- Analyze specific threads
- Extract quotes (pricing/scope mentions)
- Build contact profiles (psychological analysis)
- View thread analysis results
- View contact profiles (with loyalty risk, competitor threat, honesty score)

**Backend:** Uses CLI scripts run via `exec()` in background

---

### 7. **Direct AI Chat Endpoint (Alternative)**

**File:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_chat.php`

Simple endpoint for asking questions about a specific contact:

**Parameters:**
- `contact_id`: Contact ID (required)
- `question`: Question text (required)
- `context`: Optional additional context

**Supports:**
- Claude API (claude-sonnet-4-5-20250929)
- OpenAI (gpt-4o)

**Flow:**
```
User Question + Contact Context
    → Claude/OpenAI API Call
    → Response returned
```

---

### 8. **Context Flow Diagram**

```
User Interface (app.js)
    ↓
Frontend UI Selection (thread/contact/mode)
    ↓
sendAiChat() Function
    ↓
POST to api.php?action=ai_chat
    │
    ├─ Builds context block based on mode
    │  ├─ Thread context: all emails in thread
    │  ├─ Contact context: profile data
    │  └─ Email context: specific email to reply to
    │
    ├─ Adds system instructions for mode
    │
    ├─ Routes to Proxy API (api_codex51)
    │  └─ Proxy handles multi-model routing
    │
    └─ Fallback: Direct ThreadAnalyzer
       ├─ Supports Claude or OpenAI
       └─ Returns response text

Response returned to frontend
    ↓
Displayed in chat bubble with model badge
    ↓
Added to conversation history
```

---

### 9. **Key Integration Points**

**Contact View Flow:**
- `index.php` → Load contacts tab
- Click contact row → Navigate to `contact_view.php?contact=ID`
- View contact profile with AI options
- Open AI chat for that specific contact

**Thread View Flow:**
- `index.php` → Load emails tab
- Click thread row → `showThread(threadId)`
- Display thread with AI buttons
- Click "Ask AI" → Opens chat in thread mode
- Click "Compose Reply" → Opens chat in reply mode

**AI Chat Integration:**
- Draggable panel accessible from any screen
- Context-aware prompts change based on mode
- Full conversation history maintained
- Model selection dropdown
- Copy-to-clipboard for responses

---

### 10. **Key Files & Locations**

| Component | File Path |
|-----------|-----------|
| Main API | `/public/api.php` |
| Frontend JS | `/public/assets/app.js` |
| Direct AI Chat | `/public/ai_chat.php` |
| Analysis Dashboard | `/public/ai_analysis.php` |
| Proxy API | `/aiapi/api_codex51/api/index.php` |
| Thread Analyzer Class | `/src/ThreadAnalyzer.php` |
| Index/Dashboard | `/public/index.php` |
| Contact View | `/public/contact_view.php` |

---

This architecture allows for flexible, multi-modal AI interactions with rich context awareness. The system intelligently routes requests through a proxy API that supports multiple AI providers while maintaining fallback methods for reliability.

agentId: abf1bb7 (for resuming to continue this agent's work if needed)
<usage>total_tokens: 60327
tool_uses: 34
duration_ms: 76289</usage>

Prompt:
Explore the web app's AI-related features thoroughly. I need to understand:

1. How the current AI chat works in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_chat.php`
2. How AI analysis works in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/ai_analysis.php`
3. The AI-related API endpoints in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - search for functions like "analyze", "chat", "ai", "ask"
4. How threads are fetched and displayed in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php`
5. The frontend JS in `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - search for AI chat, analysis, thread selection features

Focus on understanding: what AI chat UI exists, how threads are selected, how context is sent to AI, and what API endpoints handle AI requests.


Excellent exploration. Now let me read a few critical files to solidify the plan.


2670→// ============================================
  2671→
  2672→const aiChat = {
  2673→    isOpen: false,
  2674→    mode: 'general',
  2675→    threadId: null,
  2676→    contactId: null,
  2677→    emailId: null,
  2678→    threadSubject: null,
  2679→    contactName: null,
  2680→    history: [],
  2681→    isDragging: false,
  2682→    dragOffsetX: 0,
  2683→    dragOffsetY: 0,
  2684→};
  2685→
  2686→const AI_QUICK_PROMPTS = {
  2687→    general: ['What are my most at-risk clients?', 'Which threads need urgent attention?', 'Summarize recent activity'],
  2688→    thread: ['Summarize this thread', 'What are the key risks?', 'What action should I take next?', 'Is this client trustworthy?', 'What are they really asking for?'],
  2689→    contact: ['What is their communication style?', 'Are there any red flags?', 'How should I approach them?', 'What opportunities exist with them?'],
  2690→    quote: ['How much should I quote for this project?', 'What is the scope of work?', 'What are the risks?', 'Suggest a project timeline'],
  2691→    reply: ['Write a professional reply', 'Write a firm but polite response', 'Write a follow-up email', 'Write a brief acknowledgment'],
  2692→};
  2693→
  2694→function toggleAiChat() {
  2695→    const panel = document.getElementById('ai-chat-panel');
  2696→    aiChat.isOpen = !aiChat.isOpen;
  2697→    panel.style.display = aiChat.isOpen ? 'flex' : 'none';
  2698→    if (aiChat.isOpen) { document.getElementById('ai-chat-input').focus(); renderQuickPrompts(); }
  2699→}
  2700→
  2701→function openAiChatForThread(threadId, subject, contactId) {
  2702→    aiChat.threadId = threadId; aiChat.contactId = contactId || null;
  2703→    aiChat.threadSubject = subject || threadId; aiChat.emailId = null;
  2704→    setAiChatMode('thread', document.querySelector('.ai-mode-btn[data-mode="thread"]'));
  2705→    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
  2706→}
  2707→
  2708→function openAiChatForContact(contactId, contactName) {
  2709→    aiChat.contactId = contactId; aiChat.contactName = contactName || 'Contact';
  2710→    aiChat.threadId = null; aiChat.emailId = null;
  2711→    setAiChatMode('contact', document.querySelector('.ai-mode-btn[data-mode="contact"]'));
  2712→    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
  2713→}
  2714→
  2715→function openAiChatForReply(threadId, emailId, subject) {
  2716→    aiChat.threadId = threadId; aiChat.emailId = emailId; aiChat.threadSubject = subject || threadId;
  2717→    setAiChatMode('reply', document.querySelector('.ai-mode-btn[data-mode="reply"]'));
  2718→    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
  2719→}
  2720→
  2721→function setAiChatMode(mode, btn) {
  2722→    aiChat.mode = mode;
  2723→    document.querySelectorAll('.ai-mode-btn').forEach(b => { b.style.background = '#2d2d4e'; b.style.color = '#94a3b8'; });
  2724→    if (btn) { btn.style.background = '#6366f1'; btn.style.color = '#fff'; }
  2725→    updateAiChatContextLabel(); renderQuickPrompts();
  2726→}
  2727→
  2728→function updateAiChatContextLabel() {
  2729→    const label = document.getElementById('ai-chat-context-label');
  2730→    if (!label) return;
  2731→    const modeLabels = { general: 'General Chat', thread: 'Thread Analysis', contact: 'Contact Intelligence', quote: 'Quote Assistant', reply: 'Reply Composer' };
  2732→    let ctx = modeLabels[aiChat.mode] || 'General Chat';
  2733→    if (aiChat.mode === 'thread' && aiChat.threadSubject) ctx += ' · ' + aiChat.threadSubject.substring(0, 30);
  2734→    if (aiChat.mode === 'contact' && aiChat.contactName) ctx += ' · ' + aiChat.contactName;
  2735→    label.textContent = ctx;
  2736→}
  2737→
  2738→function renderQuickPrompts() {
  2739→    const container = document.getElementById('ai-quick-prompts');
  2740→    if (!container) return;
  2741→    const prompts = AI_QUICK_PROMPTS[aiChat.mode] || AI_QUICK_PROMPTS.general;
  2742→    container.innerHTML = prompts.map(p =>
  2743→        `<button onclick="sendAiChatPrompt(${JSON.stringify(p)})" style="background:#2d2d4e;color:#94a3b8;border:1px solid #3d3d5c;border-radius:12px;padding:3px 10px;font-size:0.68em;cursor:pointer;white-space:nowrap;" onmouseover="this.style.background='#6366f1';this.style.color='#fff'" onmouseout="this.style.background='#2d2d4e';this.style.color='#94a3b8'">${escapeHtml(p)}</button>`
  2744→    ).join('');
  2745→}
  2746→
  2747→function sendAiChatPrompt(prompt) {
  2748→    document.getElementById('ai-chat-input').value = prompt;
  2749→    sendAiChat();
  2750→}
  2751→
  2752→function handleAiChatKey(e) {
  2753→    if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); sendAiChat(); }
  2754→}
  2755→
  2756→async function sendAiChat() {
  2757→    const input = document.getElementById('ai-chat-input');
  2758→    const message = input.value.trim();
  2759→    if (!message) return;
  2760→    const model = document.getElementById('ai-chat-model').value;
  2761→    const sendBtn = document.getElementById('ai-chat-send-btn');
  2762→
  2763→    appendAiChatMessage('user', message);
  2764→    input.value = '';
  2765→    sendBtn.disabled = true; sendBtn.style.opacity = '0.5';
  2766→    aiChat.history.push({ role: 'user', content: message });
  2767→    const typingId = appendAiChatTyping();
  2768→
  2769→    try {
  2770→        const payload = { message, model, mode: aiChat.mode, history: aiChat.history.slice(-10) };
  2771→        if (aiChat.threadId) payload.thread_id = aiChat.threadId;
  2772→        if (aiChat.contactId) payload.contact_id = aiChat.contactId;
  2773→        if (aiChat.emailId) payload.email_id = aiChat.emailId;
  2774→
  2775→        const resp = await fetch('api.php?action=ai_chat', {
  2776→            method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload)
  2777→        });
  2778→        const data = await resp.json();
  2779→        removeAiChatTyping(typingId);
  2780→
  2781→        if (data.success && data.answer) {
  2782→            aiChat.history.push({ role: 'assistant', content: data.answer });
  2783→            appendAiChatMessage('assistant', data.answer, data.model);
  2784→        } else {
  2785→            appendAiChatMessage('error', '⚠ ' + (data.message || data.error || 'Unknown error'));
  2786→        }
  2787→    } catch (err) {
  2788→        removeAiChatTyping(typingId);
  2789→        appendAiChatMessage('error', '⚠ Network error: ' + err.message);
  2790→    } finally {
  2791→        sendBtn.disabled = false; sendBtn.style.opacity = '1';
  2792→    }
  2793→}
  2794→
  2795→function appendAiChatMessage(role, content, model) {
  2796→    const container = document.getElementById('ai-chat-messages');
  2797→    const isUser = role === 'user', isError = role === 'error';
  2798→    const wrapper = document.createElement('div');
  2799→    wrapper.style.cssText = `display:flex;flex-direction:column;align-items:${isUser ? 'flex-end' : 'flex-start'};gap:4px;`;
  2800→    const bubble = document.createElement('div');
  2801→    bubble.style.cssText = `max-width:88%;padding:10px 13px;border-radius:${isUser ? '14px 14px 4px 14px' : '14px 14px 14px 4px'};font-size:0.82em;line-height:1.5;word-break:break-word;background:${isUser ? 'linear-gradient(135deg,#6366f1,#8b5cf6)' : isError ? '#3d1515' : '#252540'};color:${isUser ? '#fff' : isError ? '#fca5a5' : '#e2e8f0'};${isError ? 'border:1px solid #7f1d1d;' : ''}`;
  2802→    if (!isUser && !isError) bubble.innerHTML = renderAiMarkdown(content);
  2803→    else bubble.textContent = content;
  2804→    wrapper.appendChild(bubble);
  2805→
  2806→    if (!isUser && !isError) {
  2807→        const meta = document.createElement('div');
  2808→        meta.style.cssText = 'display:flex;gap:6px;align-items:center;';
  2809→        if (model) {
  2810→            const badge = document.createElement('span');
  2811→            badge.style.cssText = 'font-size:0.65em;color:#4a4a6a;background:#1e1e2e;padding:2px 6px;border-radius:4px;';
  2812→            badge.textContent = model; meta.appendChild(badge);
  2813→        }
  2814→        const copyBtn = document.createElement('button');
  2815→        copyBtn.style.cssText = 'font-size:0.65em;color:#6366f1;background:none;border:none;cursor:pointer;padding:2px 4px;';
  2816→        copyBtn.textContent = '📋 Copy';
  2817→        copyBtn.onclick = () => navigator.clipboard.writeText(content).then(() => { copyBtn.textContent = '✓ Copied!'; setTimeout(() => copyBtn.textContent = '📋 Copy', 2000); });
  2818→        meta.appendChild(copyBtn);
  2819→        wrapper.appendChild(meta);
  2820→    }
  2821→    container.appendChild(wrapper);
  2822→    container.scrollTop = container.scrollHeight;
  2823→    return wrapper;
  2824→}
  2825→
  2826→function appendAiChatTyping() {
  2827→    const container = document.getElementById('ai-chat-messages');
  2828→    const id = 'typing-' + Date.now();
  2829→    const el = document.createElement('div');
  2830→    el.id = id;
  2831→    el.innerHTML = `
●●●
`;
  2832→    if (!document.getElementById('ai-chat-style')) {
  2833→        const s = document.createElement('style'); s.id = 'ai-chat-style';
  2834→        s.textContent = '@keyframes aiBounce{0%,80%,100%{opacity:0.3;transform:translateY(0)}40%{opacity:1;transform:translateY(-4px)}}';
  2835→        document.head.appendChild(s);
  2836→    }
  2837→    container.appendChild(el); container.scrollTop = container.scrollHeight;
  2838→    return id;
  2839→}
  2840→
  2841→function removeAiChatTyping(id) { const el = document.getElementById(id); if (el) el.remove(); }
  2842→
  2843→function renderAiMarkdown(text) {
  2844→    return text
  2845→        .replace(/&/g, '&').replace(/</g, '<').replace(/>/g, '>')
  2846→        .replace(/```([\s\S]*?)```/g, '
$1
')
  2847→        .replace(/`([^`]+)`/g, '$1')
  2848→        .replace(/\*\*([^*]+)\*\*/g, '$1').replace(/\*([^*]+)\*/g, '$1')
  2849→        .replace(/^### (.+)$/gm, '
$1
')
  2850→        .replace(/^## (.+)$/gm, '
$1
')
  2851→        .replace(/^# (.+)$/gm, '
$1
')
  2852→        .replace(/^[-*] (.+)$/gm, '
• $1
')
  2853→        .replace(/\n/g, '
');
  2854→}
  2855→
  2856→function clearAiChat() {
  2857→    aiChat.history = [];
  2858→    document.getElementById('ai-chat-messages').innerHTML = `<div style="text-align:center;color:#4a4a6a;font-size:0.8em;padding:20px 0;"><div style="font-size:2em;margin-bottom:8px;">🤖</div><div>Chat cleared. Ask me anything!</div></div>`;
  2859→}
  2860→
  2861→// Draggable panel
  2862→document.addEventListener('DOMContentLoaded', () => {
  2863→    const header = document.getElementById('ai-chat-header');
  2864→    const panel = document.getElementById('ai-chat-panel');
  2865→    if (!header || !panel) return;
  2866→    header.addEventListener('mousedown', e => {
  2867→        if (e.target.tagName === 'BUTTON') return;
  2868→        aiChat.isDragging = true;
  2869→        const rect = panel.getBoundingClientRect();
  2870→        aiChat.dragOffsetX = e.clientX - rect.left;
  2871→        aiChat.dragOffsetY = e.clientY - rect.top;
  2872→        panel.style.transition = 'none';
  2873→    });
  2874→    document.addEventListener('mousemove', e => {
  2875→        if (!aiChat.isDragging) return;
  2876→        panel.style.right = 'auto'; panel.style.bottom = 'auto';
  2877→        panel.style.left = Math.max(0, Math.min(e.clientX - aiChat.dragOffsetX, window.innerWidth - panel.offsetWidth)) + 'px';
  2878→        panel.style.top = Math.max(0, Math.min(e.clientY - aiChat.dragOffsetY, window.innerHeight - panel.offsetHeight)) + 'px';
  2879→    });
  2880→    document.addEventListener('mouseup', () => { aiChat.isDragging = false; });
  2881→});
  2882→

// ============================================

const aiChat = {
    isOpen: false,
    mode: 'general',
    threadId: null,
    contactId: null,
    emailId: null,
    threadSubject: null,
    contactName: null,
    history: [],
    isDragging: false,
    dragOffsetX: 0,
    dragOffsetY: 0,
};

const AI_QUICK_PROMPTS = {
    general: ['What are my most at-risk clients?', 'Which threads need urgent attention?', 'Summarize recent activity'],
    thread: ['Summarize this thread', 'What are the key risks?', 'What action should I take next?', 'Is this client trustworthy?', 'What are they really asking for?'],
    contact: ['What is their communication style?', 'Are there any red flags?', 'How should I approach them?', 'What opportunities exist with them?'],
    quote: ['How much should I quote for this project?', 'What is the scope of work?', 'What are the risks?', 'Suggest a project timeline'],
    reply: ['Write a professional reply', 'Write a firm but polite response', 'Write a follow-up email', 'Write a brief acknowledgment'],
};

function toggleAiChat() {
    const panel = document.getElementById('ai-chat-panel');
    aiChat.isOpen = !aiChat.isOpen;
    panel.style.display = aiChat.isOpen ? 'flex' : 'none';
    if (aiChat.isOpen) { document.getElementById('ai-chat-input').focus(); renderQuickPrompts(); }
}

function openAiChatForThread(threadId, subject, contactId) {
    aiChat.threadId = threadId; aiChat.contactId = contactId || null;
    aiChat.threadSubject = subject || threadId; aiChat.emailId = null;
    setAiChatMode('thread', document.querySelector('.ai-mode-btn[data-mode="thread"]'));
    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
}

function openAiChatForContact(contactId, contactName) {
    aiChat.contactId = contactId; aiChat.contactName = contactName || 'Contact';
    aiChat.threadId = null; aiChat.emailId = null;
    setAiChatMode('contact', document.querySelector('.ai-mode-btn[data-mode="contact"]'));
    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
}

function openAiChatForReply(threadId, emailId, subject) {
    aiChat.threadId = threadId; aiChat.emailId = emailId; aiChat.threadSubject = subject || threadId;
    setAiChatMode('reply', document.querySelector('.ai-mode-btn[data-mode="reply"]'));
    if (!aiChat.isOpen) toggleAiChat(); else document.getElementById('ai-chat-input').focus();
}

function setAiChatMode(mode, btn) {
    aiChat.mode = mode;
    document.querySelectorAll('.ai-mode-btn').forEach(b => { b.style.background = '#2d2d4e'; b.style.color = '#94a3b8'; });
    if (btn) { btn.style.background = '#6366f1'; btn.style.color = '#fff'; }
    updateAiChatContextLabel(); renderQuickPrompts();
}

function updateAiChatContextLabel() {
    const label = document.getElementById('ai-chat-context-label');
    if (!label) return;
    const modeLabels = { general: 'General Chat', thread: 'Thread Analysis', contact: 'Contact Intelligence', quote: 'Quote Assistant', reply: 'Reply Composer' };
    let ctx = modeLabels[aiChat.mode] || 'General Chat';
    if (aiChat.mode === 'thread' && aiChat.threadSubject) ctx += ' · ' + aiChat.threadSubject.substring(0, 30);
    if (aiChat.mode === 'contact' && aiChat.contactName) ctx += ' · ' + aiChat.contactName;
    label.textContent = ctx;
}

function renderQuickPrompts() {
    const container = document.getElementById('ai-quick-prompts');
    if (!container) return;
    const prompts = AI_QUICK_PROMPTS[aiChat.mode] || AI_QUICK_PROMPTS.general;
    container.innerHTML = prompts.map(p =>
        `<button onclick="sendAiChatPrompt(${JSON.stringify(p)})" style="background:#2d2d4e;color:#94a3b8;border:1px solid #3d3d5c;border-radius:12px;padding:3px 10px;font-size:0.68em;cursor:pointer;white-space:nowrap;" onmouseover="this.style.background='#6366f1';this.style.color='#fff'" onmouseout="this.style.background='#2d2d4e';this.style.color='#94a3b8'">${escapeHtml(p)}</button>`
    ).join('');
}

function sendAiChatPrompt(prompt) {
    document.getElementById('ai-chat-input').value = prompt;
    sendAiChat();
}

function handleAiChatKey(e) {
    if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); sendAiChat(); }
}

async function sendAiChat() {
    const input = document.getElementById('ai-chat-input');
    const message = input.value.trim();
    if (!message) return;
    const model = document.getElementById('ai-chat-model').value;
    const sendBtn = document.getElementById('ai-chat-send-btn');

    appendAiChatMessage('user', message);
    input.value = '';
    sendBtn.disabled = true; sendBtn.style.opacity = '0.5';
    aiChat.history.push({ role: 'user', content: message });
    const typingId = appendAiChatTyping();

    try {
        const payload = { message, model, mode: aiChat.mode, history: aiChat.history.slice(-10) };
        if (aiChat.threadId) payload.thread_id = aiChat.threadId;
        if (aiChat.contactId) payload.contact_id = aiChat.contactId;
        if (aiChat.emailId) payload.email_id = aiChat.emailId;

        const resp = await fetch('api.php?action=ai_chat', {
            method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload)
        });
        const data = await resp.json();
        removeAiChatTyping(typingId);

        if (data.success && data.answer) {
            aiChat.history.push({ role: 'assistant', content: data.answer });
            appendAiChatMessage('assistant', data.answer, data.model);
        } else {
            appendAiChatMessage('error', '⚠ ' + (data.message || data.error || 'Unknown error'));
        }
    } catch (err) {
        removeAiChatTyping(typingId);
        appendAiChatMessage('error', '⚠ Network error: ' + err.message);
    } finally {
        sendBtn.disabled = false; sendBtn.style.opacity = '1';
    }
}

function appendAiChatMessage(role, content, model) {
    const container = document.getElementById('ai-chat-messages');
    const isUser = role === 'user', isError = role === 'error';
    const wrapper = document.createElement('div');
    wrapper.style.cssText = `display:flex;flex-direction:column;align-items:${isUser ? 'flex-end' : 'flex-start'};gap:4px;`;
    const bubble = document.createElement('div');
    bubble.style.cssText = `max-width:88%;padding:10px 13px;border-radius:${isUser ? '14px 14px 4px 14px' : '14px 14px 14px 4px'};font-size:0.82em;line-height:1.5;word-break:break-word;background:${isUser ? 'linear-gradient(135deg,#6366f1,#8b5cf6)' : isError ? '#3d1515' : '#252540'};color:${isUser ? '#fff' : isError ? '#fca5a5' : '#e2e8f0'};${isError ? 'border:1px solid #7f1d1d;' : ''}`;
    if (!isUser && !isError) bubble.innerHTML = renderAiMarkdown(content);
    else bubble.textContent = content;
    wrapper.appendChild(bubble);

    if (!isUser && !isError) {
        const meta = document.createElement('div');
        meta.style.cssText = 'display:flex;gap:6px;align-items:center;';
        if (model) {
            const badge = document.createElement('span');
            badge.style.cssText = 'font-size:0.65em;color:#4a4a6a;background:#1e1e2e;padding:2px 6px;border-radius:4px;';
            badge.textContent = model; meta.appendChild(badge);
        }
        const copyBtn = document.createElement('button');
        copyBtn.style.cssText = 'font-size:0.65em;color:#6366f1;background:none;border:none;cursor:pointer;padding:2px 4px;';
        copyBtn.textContent = '📋 Copy';
        copyBtn.onclick = () => navigator.clipboard.writeText(content).then(() => { copyBtn.textContent = '✓ Copied!'; setTimeout(() => copyBtn.textContent = '📋 Copy', 2000); });
        meta.appendChild(copyBtn);
        wrapper.appendChild(meta);
    }
    container.appendChild(wrapper);
    container.scrollTop = container.scrollHeight;
    return wrapper;
}

function appendAiChatTyping() {
    const container = document.getElementById('ai-chat-messages');
    const id = 'typing-' + Date.now();
    const el = document.createElement('div');
    el.id = id;
    el.innerHTML = `
●●●
`;
    if (!document.getElementById('ai-chat-style')) {
        const s = document.createElement('style'); s.id = 'ai-chat-style';
        s.textContent = '@keyframes aiBounce{0%,80%,100%{opacity:0.3;transform:translateY(0)}40%{opacity:1;transform:translateY(-4px)}}';
        document.head.appendChild(s);
    }
    container.appendChild(el); container.scrollTop = container.scrollHeight;
    return id;
}

function removeAiChatTyping(id) { const el = document.getElementById(id); if (el) el.remove(); }

function renderAiMarkdown(text) {
    return text
        .replace(/&/g, '&').replace(/</g, '<').replace(/>/g, '>')
        .replace(/```([\s\S]*?)```/g, '
$1
')
        .replace(/`([^`]+)`/g, '$1')
        .replace(/\*\*([^*]+)\*\*/g, '$1').replace(/\*([^*]+)\*/g, '$1')
        .replace(/^### (.+)$/gm, '
$1
')
        .replace(/^## (.+)$/gm, '
$1
')
        .replace(/^# (.+)$/gm, '
$1
')
        .replace(/^[-*] (.+)$/gm, '
• $1
')
        .replace(/\n/g, '
');
}

function clearAiChat() {
    aiChat.history = [];
    document.getElementById('ai-chat-messages').innerHTML = `<div style="text-align:center;color:#4a4a6a;font-size:0.8em;padding:20px 0;"><div style="font-size:2em;margin-bottom:8px;">🤖</div><div>Chat cleared. Ask me anything!</div></div>`;
}

// Draggable panel
document.addEventListener('DOMContentLoaded', () => {
    const header = document.getElementById('ai-chat-header');
    const panel = document.getElementById('ai-chat-panel');
    if (!header || !panel) return;
    header.addEventListener('mousedown', e => {
        if (e.target.tagName === 'BUTTON') return;
        aiChat.isDragging = true;
        const rect = panel.getBoundingClientRect();
        aiChat.dragOffsetX = e.clientX - rect.left;
        aiChat.dragOffsetY = e.clientY - rect.top;
        panel.style.transition = 'none';
    });
    document.addEventListener('mousemove', e => {
        if (!aiChat.isDragging) return;
        panel.style.right = 'auto'; panel.style.bottom = 'auto';
        panel.style.left = Math.max(0, Math.min(e.clientX - aiChat.dragOffsetX, window.innerWidth - panel.offsetWidth)) + 'px';
        panel.style.top = Math.max(0, Math.min(e.clientY - aiChat.dragOffsetY, window.innerHeight - panel.offsetHeight)) + 'px';
    });
    document.addEventListener('mouseup', () => { aiChat.isDragging = false; });
});