Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


241:function resolveThreadId(?string $threadId): ?string {
422:            $threadId = resolveThreadId($threadId);
522:            $threadId = resolveThreadId($threadId);
602:                $threadId = resolveThreadId($threadId);
994:            $threadId = resolveThreadId($threadId);
2140:            $threadId = resolveThreadId($threadId);
2244:                $threadId = resolveThreadId($threadId);
2323:            if ($chatThreadId) $chatThreadId = resolveThreadId($chatThreadId);
2521:            $threadId = resolveThreadId($threadId);
2747:            $threadId = resolveThreadId($threadId);

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Found 1 file
src/MongoDatabase.php

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


   107→async function apiCall(action, params = {}, method = 'GET') {
   108→    try {
   109→        let url = 'api.php?action=' + action;
   110→
   111→        const options = {
   112→            method: method,
   113→            headers: {}
   114→        };
   115→
   116→        if (method === 'GET') {
   117→            // Add params to URL
   118→            Object.keys(params).forEach(key => {
   119→                url += '&' + encodeURIComponent(key) + '=' + encodeURIComponent(params[key]);
   120→            });
   121→        } else {
   122→            // POST data
   123→            const formData = new FormData();
   124→            Object.keys(params).forEach(key => {
   125→                formData.append(key, params[key]);
   126→            });
   127→            options.body = formData;
   128→        }
   129→
   130→        const response = await fetch(url, options);
   131→        const data = await response.json();
   132→
   133→        if (data.error) {
   134→            throw new Error(data.message || 'API Error');
   135→        }
   136→
   137→        return data;
   138→    } catch (error) {
   139→        console.error('API Error:', error);
   140→        throw error;
   141→    }
   142→}
   143→
   144→// ============================================
   145→// Loading Overlay
   146→// ============================================
   147→function showLoading(message = 'Processing...') {
   148→    document.getElementById('loading-message').textContent = message;
   149→    document.getElementById('loading-overlay').style.display = 'flex';
   150→}
   151→
   152→function hideLoading() {
   153→    document.getElementById('loading-overlay').style.display = 'none';
   154→}
   155→
   156→// ============================================

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


   241→function resolveThreadId(?string $threadId): ?string {
   242→    if (!$threadId) return null;
   243→
   244→    $cache = ThreadIdCache::getInstance();
   245→    return $cache->resolve($threadId);
   246→}
   247→
   248→try {
   249→    $db = Database::getInstance();
   250→    $action = $_GET['action'] ?? $_POST['action'] ?? '';
   251→
   252→    switch ($action) {
   253→        // ==========================================
   254→        // System Status
   255→        // ==========================================
   256→        case 'status':
   257→            $syncStatus = $db->fetchOne("SELECT * FROM sync_status WHERE id = 1");
   258→
   259→            // Count statistics
   260→            $stats = [
   261→                'total_emails' => $db->fetchColumn("SELECT COUNT(*) FROM emails"),
   262→                'total_contacts' => $db->fetchColumn("SELECT COUNT(*) FROM contacts"),
   263→                'analyzed_emails' => $db->fetchColumn("SELECT COUNT(*) FROM emails WHERE is_analyzed = 1"),
   264→                'pending_analysis' => $db->fetchColumn("SELECT COUNT(*) FROM emails WHERE is_analyzed = 0"),
   265→                'total_quotes' => $db->fetchColumn("SELECT COUNT(*) FROM quotes"),
   266→                'profiles_built' => $db->fetchColumn("SELECT COUNT(*) FROM contact_profiles"),
   267→                'high_risk_contacts' => $db->fetchColumn("SELECT COUNT(*) FROM contact_profiles WHERE risk_level = 'high'"),
   268→            ];
   269→
   270→            // Gmail status
   271→            $gmail = new GmailClient();
   272→            $gmailStatus = $gmail->getAuthStatus();
   273→
   274→            // Claude status
   275→            $analyzer = new AIAnalyzer();
   276→            $claudeConfigured = $analyzer->isConfigured();
   277→
   278→            jsonResponse([
   279→                'sync' => $syncStatus,
   280→                'stats' => $stats,
   281→                'gmail' => $gmailStatus,
   282→                'claude' => ['configured' => $claudeConfigured],
   283→                'timestamp' => date('c')
   284→            ]);
   285→            break;
   286→
   287→        // ==========================================
   288→        // List Contacts
   289→        // ==========================================
   290→        case 'contacts':

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


No matches found

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


TodoWrite

Explore existing QueryAdapter methods for threads

Exploring existing QueryAdapter methods for threads

Explore Chrome extension's fetchEmailContext and Ask AI flow

Exploring Chrome extension's Ask AI flow

Explore the AI proxy API endpoint structure

Explore existing search/contacts API actions and frontend patterns

Exploring existing search/contacts API actions

Design the complete implementation plan

Designing the complete implementation plan

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


     1→/**
     2→ * Email Intelligence Dashboard JavaScript
     3→ *
     4→ * Handles all frontend interactions including:
     5→ * - Tab switching
     6→ * - Data loading via API
     7→ * - Modal management
     8→ * - Filter management
     9→ * - Sync/Analysis triggers
    10→ *
    11→ * CALLING MAP:
    12→ * - Loaded by: index.php
    13→ * - Calls: api.php for all data operations
    14→ *
    15→ * @package EmailIntelligence
    16→ */
    17→
    18→// ============================================
    19→// Global State
    20→// ============================================
    21→const state = {
    22→    contacts: {
    23→        page: 1,
    24→        search: '',
    25→        type: ''
    26→    },
    27→    emails: {
    28→        page: 1,
    29→        contactId: null
    30→    }
    31→};
    32→
    33→// ============================================
    34→// Utility Functions (defined early for global access)
    35→// ============================================
    36→/**
    37→ * Format number with commas
    38→ * Defined in global scope for early access
    39→ */
    40→window.formatNumber = function (num) {
    41→    if (num === null || num === undefined) return '0';
    42→    return num.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',');
    43→};
    44→
    45→// Also define as regular function for compatibility
    46→function formatNumber(num) {
    47→    if (num === null || num === undefined) return '0';
    48→    return num.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',');
    49→}
    50→
    51→/**
    52→ * Escape HTML to prevent XSS
    53→ */
    54→function escapeHtml(text) {
    55→    if (!text) return '';
    56→    const div = document.createElement('div');
    57→    div.textContent = text;
    58→    return div.innerHTML;
    59→}
    60→
    61→// ============================================
    62→// Tab Management
    63→// ============================================
    64→function switchTab(tabName) {
    65→    // Update tab buttons
    66→    document.querySelectorAll('.tab-btn').forEach(btn => {
    67→        btn.classList.toggle('active', btn.dataset.tab === tabName);
    68→    });
    69→
    70→    // Update tab content
    71→    document.querySelectorAll('.tab-content').forEach(content => {
    72→        content.classList.toggle('active', content.id === 'tab-' + tabName);
    73→    });
    74→
    75→    // Load data for the tab
    76→    switch (tabName) {
    77→        case 'contacts':
    78→            loadContacts();
    79→            break;
    80→        case 'emails':
    81→            loadEmails();
    82→            break;
    83→        case 'gmail-accounts':
    84→            loadGmailAccounts();
    85→            break;
    86→        case 'patterns':
    87→            loadPatternStats();
    88→            break;
    89→        case 'business':
    90→            loadBusinessOpportunities();
    91→            break;
    92→        case 'alerts':
    93→            loadAlerts();
    94→            break;
    95→        case 'quotes':
    96→            loadQuotes();
    97→            break;
    98→        case 'filters':
    99→            loadFilters();
   100→            break;
   101→    }
   102→}
   103→
   104→// ============================================
   105→// API Helpers
   106→// ============================================
   107→async function apiCall(action, params = {}, method = 'GET') {
   108→    try {
   109→        let url = 'api.php?action=' + action;
   110→

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


No matches found

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


191:    public function getContactWithDetails(int $contactId): ?array
194:            return $this->getContactWithDetailsMongo($contactId);
197:        return $this->getContactWithDetailsSQL($contactId);
200:    private function getContactWithDetailsSQL(int $contactId): ?array
246:    private function getContactWithDetailsMongo(int $contactId): ?array

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


638:async function loadEmails(page = 1, contactId = null) {
682:

705:async function showThread(threadId) {
971:            showThread(threadId);
1196:
1546:

1682:                            <button class="btn btn-small" onclick="showThread('${escapeHtml(meta.thread_id)}')">View Thread</button>
1910:                        <button class="btn btn-small" onclick="showThread('${meta.thread_id}')">View Thread</button>
2032:                    ${alert.thread_id ? `<button class="btn btn-small" onclick="showThread('${alert.thread_id}')">View Thread</button>` : ''}

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


   191→    public function getContactWithDetails(int $contactId): ?array
   192→    {
   193→        if ($this->useMongo) {
   194→            return $this->getContactWithDetailsMongo($contactId);
   195→        }
   196→
   197→        return $this->getContactWithDetailsSQL($contactId);
   198→    }
   199→
   200→    private function getContactWithDetailsSQL(int $contactId): ?array
   201→    {
   202→        $contact = $this->db->fetchOne(
   203→            "SELECT c.*, cp.*
   204→             FROM contacts c
   205→             LEFT JOIN contact_profiles cp ON c.id = cp.contact_id
   206→             WHERE c.id = ?",
   207→            [$contactId]
   208→        );
   209→
   210→        if (!$contact) return null;
   211→
   212→        // Get recent emails
   213→        $recentEmails = $this->db->fetchAll(
   214→            "SELECT e.id, e.subject, e.date, e.direction, e.snippet,
   215→                    ea.sentiment_label, ea.urgency_level, ea.summary
   216→             FROM emails e
   217→             LEFT JOIN email_analysis ea ON e.id = ea.email_id
   218→             WHERE e.contact_id = ?
   219→             ORDER BY e.date DESC
   220→             LIMIT 20",
   221→            [$contactId]
   222→        );
   223→
   224→        // Get quotes
   225→        $quotes = $this->db->fetchAll(
   226→            "SELECT * FROM quotes WHERE contact_id = ? ORDER BY quote_date DESC",
   227→            [$contactId]
   228→        );
   229→
   230→        // Parse JSON fields
   231→        $jsonFields = ['personality_traits', 'detected_inconsistencies', 'risk_factors',
   232→                      'best_approach', 'topics_to_avoid', 'quote_history'];
   233→        foreach ($jsonFields as $field) {
   234→            if (isset($contact[$field]) && is_string($contact[$field])) {
   235→                $contact[$field] = json_decode($contact[$field], true);
   236→            }
   237→        }
   238→
   239→        return [
   240→            'contact' => $contact,
   241→            'recent_emails' => $recentEmails,
   242→            'quotes' => $quotes
   243→        ];
   244→    }
   245→
   246→    private function getContactWithDetailsMongo(int $contactId): ?array
   247→    {
   248→        $mongo = MongoDatabase::getInstance();
   249→
   250→        // Get contact with profile
   251→        $pipeline = [
   252→            ['$match' => ['id' => $contactId]],
   253→            ['$lookup' => [
   254→                'from' => 'contact_profiles',
   255→                'localField' => 'id',
   256→                'foreignField' => 'contact_id',
   257→                'as' => 'profile'
   258→            ]],
   259→            ['$unwind' => ['path' => '$profile', 'preserveNullAndEmptyArrays' => true]]
   260→        ];
   261→
   262→        $results = $mongo->aggregate('contacts', $pipeline);
   263→        if (empty($results)) return null;
   264→
   265→        $contact = $results[0];
   266→
   267→        // Flatten profile
   268→        if (isset($contact['profile'])) {
   269→            foreach ($contact['profile'] as $key => $value) {
   270→                if ($key !== '_id' && $key !== 'contact_id') {
   271→                    $contact[$key] = $value;
   272→                }
   273→            }
   274→            unset($contact['profile']);
   275→        }
   276→
   277→        // Get recent emails with analysis
   278→        $emailPipeline = [
   279→            ['$match' => ['contact_id' => $contactId]],
   280→            ['$lookup' => [
   281→                'from' => 'email_analysis',
   282→                'localField' => 'id',
   283→                'foreignField' => 'email_id',
   284→                'as' => 'analysis'
   285→            ]],
   286→            ['$unwind' => ['path' => '$analysis', 'preserveNullAndEmptyArrays' => true]],
   287→            ['$sort' => ['date' => -1]],
   288→            ['$limit' => 20],
   289→            ['$project' => [
   290→                'id' => 1,
   291→                'subject' => 1,
   292→                'date' => 1,
   293→                'direction' => 1,
   294→                'snippet' => 1,
   295→                'sentiment_label' => '$analysis.sentiment_label',
   296→                'urgency_level' => '$analysis.urgency_level',
   297→                'summary' => '$analysis.summary'
   298→            ]]
   299→        ];
   300→
   301→        $recentEmails = $mongo->aggregate('emails', $emailPipeline);
   302→
   303→        // Get quotes
   304→        $quotes = $mongo->findAll('quotes',
   305→            ['contact_id' => $contactId],
   306→            ['sort' => ['quote_date' => -1]]
   307→        );
   308→
   309→        return [
   310→            'contact' => $contact,

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


No matches found

Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.


Prompt:
Design an implementation plan for adding a "context builder + AI chat" feature to the Email Intelligence web app. Here's all the context:

## What the user wants:
The user wants to replicate the Chrome extension's "Ask AI" functionality in the web app, with ENHANCED capabilities:
1. Search for contacts by email/name
2. Select a single thread, multiple threads, or ALL threads for a contact as AI context
3. Choose an AI model from a dropdown (multi-provider: Claude, GPT, Gemini, Grok, DeepSeek, etc.)
4. Ask questions about the selected context - e.g. "how much should I quote?", "what's the deception level?"

Example use cases:
- "Grab all emails for stephanie.k***@asendia.com and check how much we quoted, her profile, and ask how much to quote for task X"
- "Grab multiple threads of david.zolanz@digitalj2.com and ask the level of deception from david"

## Current web app AI chat (what already exists):
- File: `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` (lines 2672-2882)
- Has modes: general, thread (single), contact, quote, reply
- Sends to `api.php?action=ai_chat` which builds context from ONE thread_id or ONE contact_id
- Has model dropdown but only basic models
- Draggable panel with chat history, quick prompts

## Current backend:
- `api.php?action=ai_chat` (lines 2310-2491) - builds context from single thread or contact
- `api.php?action=threads` - lists threads, filterable by contact_id and search
- `QueryAdapter::getThreads($contactId, $search, $limit, $offset)` - fetches threads
- MongoDB + SQL dual support throughout
- Thread emails stored with thread_id grouping
- Contact profiles with trust scores, communication style

## Chrome extension (what to draw inspiration from):
- Has provider dropdown + model dropdown with ALL providers (Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere)
- Model list defined in JS (lines 18-56 of contentScript.js)
- `fetchEmailContext()` can fetch by thread ID or by email (returns contact + recent threads)
- Conversation history (last 10 exchanges)
- Quick question buttons

## The enhancement needed:
The current web chat can only load ONE thread or ONE contact as context. We need:

1. A **contact/thread search** UI in the AI chat panel (or a new dedicated panel)
2. Ability to **add multiple threads to context** - like a "shopping cart" for context
3. Ability to **"Add all threads for contact X"** with one click
4. The **multi-provider model dropdown** from the chrome extension
5. A **visible context summary** showing what's loaded (e.g. "3 threads, 15 emails from stephanie@...")
6. Backend API changes to accept multiple thread_ids and build combined context

## Key files to modify:
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/assets/app.js` - Frontend JS
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/api.php` - Backend API
- `/var/www/mssql.danmarcrm.com/dev1/extension2/public/index.php` - HTML for new UI elements

## Constraints:
- Keep using the existing draggable AI chat panel (enhance it, don't replace it)
- Must work with both MongoDB and SQL backends
- Keep the existing modes (thread, contact, quote, reply, general) but enhance them
- Reuse existing QueryAdapter and MongoDatabase classes
- Use the same AI proxy at `aiapi/api_codex51/api/index.php`

Design a detailed, step-by-step implementation plan.