Now let me also check if there are any remaining references to `DEEP_ANALYSIS_PASSES` that I need to update.


No matches found


No remaining references. Now let me run the PHP syntax check.


TodoWrite

Replace DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant (4 playbooks, full prompts)

Replacing DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant

Add playbook dropdown UI + update Deep Analysis button

Update runDeepAnalysis() to use selected playbook

Updating runDeepAnalysis() to use selected playbook

Add initPlaybookDropdown() and call on page load

Update api.php: save_ai_response to persist deep_analysis_playbook field

Update api.php: load_deep_analysis to return playbook info

Updating load_deep_analysis API endpoint

Verify with php -l syntax check


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

Replace DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant (4 playbooks, full prompts)

Replacing DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant

Add playbook dropdown UI + update Deep Analysis button

Update runDeepAnalysis() to use selected playbook

Updating runDeepAnalysis() to use selected playbook

Add initPlaybookDropdown() and call on page load

Update api.php: save_ai_response to persist deep_analysis_playbook field

Update api.php: load_deep_analysis to return playbook info

Updating load_deep_analysis API endpoint

Verify with php -l syntax check

Verify with php -l syntax check


Bash

php -l /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php && php -l /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php

PHP syntax check on modified files


No syntax errors detected in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php
No syntax errors detected in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php


Both files pass syntax checks. Let me also verify there are no remaining references to the old constant anywhere.


TodoWrite

Replace DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant (4 playbooks, full prompts)

Replacing DEEP_ANALYSIS_PASSES with DEEP_ANALYSIS_PLAYBOOKS constant

Add playbook dropdown UI + update Deep Analysis button

Update runDeepAnalysis() to use selected playbook

Updating runDeepAnalysis() to use selected playbook

Add initPlaybookDropdown() and call on page load

Update api.php: save_ai_response to persist deep_analysis_playbook field

Update api.php: load_deep_analysis to return playbook info

Updating load_deep_analysis API endpoint

Verify with php -l syntax check


Verify with php -l syntax check

Verify with php -l syntax check


All tasks complete. Let me update the memory file with this session's work.


     1→# Email Intelligence System – Project Memory
     2→
     3→## Project Summary
     4→AI-powered Gmail email thread analysis system with Chrome extension.
     5→See full overview: `/var/www/mssql.danmarcrm.com/dev1/extension2/PROJECT_OVERVIEW.md`
     6→
     7→## Key Paths
     8→- **Server root (v1):** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/`
     9→- **Server root (original):** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
    10→- **Web app:** `public/` in either root

# Email Intelligence System – Project Memory

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

## Key Paths
- **Server root (v1):** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/`
- **Server root (original):** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `public/` in either root


   130→- **Contacts empty on last_contact sort**: Removed expensive `$lookup`, use existing `last_contact` field on contact documents
   131→
   132→### Context Builder Enhancements
   133→- `addAllSearchThreads()` — adds loaded threads to context
   134→- `addAllSearchThreadsFull()` — fetches ALL pages then adds every thread
   135→- `loadMoreSearchThreads()` — pagination for large result sets
   136→- Thread search results show total count, "Add All X Threads" (blue, fetches all), "Add Shown X"
   137→- Scrollable results area increased to 400px
   138→- Contact thread limit raised from 20 to 100
   139→
   140→### Bulk Delete Found Threads
   141→- New API endpoint: `delete_threads_bulk` — accepts `{thread_ids: [...]}`, max 500, calls `deleteThread()` for each
   142→- Dashboard: "Delete All X Found" button appears when search/filter active
   143→- Safety: reads exact same filters, fetches all matching thread_ids, double-confirm for >50, deletes by exact ID only
   144→
   145→### Deep Analysis (5-Pass Automated)
   146→- `DEEP_ANALYSIS_PASSES` constant: 5 passes (Timeline, Pressure, Profiles, Financial, Win-Back)
   147→- Each pass uses appropriate agent (general, deception_detector, contact_profiler, quote_analyst)
   148→- `runDeepAnalysis()`: builds content once, runs 5 passes sequentially with conversation history building
   149→- Results displayed in dedicated panel with per-pass sections, progress indicator
   150→- Each response saved to MongoDB with `deep_analysis_pass` and `deep_analysis_name` metadata
   151→- 2-second pause between passes to avoid rate limiting
   152→- "Deep Analysis (5-Pass)" button next to "Send to AI" in thread_view.php
   153→
   154→### Files Modified
   155→- `public/thread_view.php` — Deep Analysis button+container+JS, context builder enhancements
   156→- `public/assets/app.js` — pagination fix, deleteFoundThreads(), bulk delete button visibility
   157→- `public/api.php` — `delete_threads_bulk` endpoint
   158→- `src/QueryAdapter.php` — thread search `$or` on subject/from/to
   159→

- **Contacts empty on last_contact sort**: Removed expensive `$lookup`, use existing `last_contact` field on contact documents

### Context Builder Enhancements
- `addAllSearchThreads()` — adds loaded threads to context
- `addAllSearchThreadsFull()` — fetches ALL pages then adds every thread
- `loadMoreSearchThreads()` — pagination for large result sets
- Thread search results show total count, "Add All X Threads" (blue, fetches all), "Add Shown X"
- Scrollable results area increased to 400px
- Contact thread limit raised from 20 to 100

### Bulk Delete Found Threads
- New API endpoint: `delete_threads_bulk` — accepts `{thread_ids: [...]}`, max 500, calls `deleteThread()` for each
- Dashboard: "Delete All X Found" button appears when search/filter active
- Safety: reads exact same filters, fetches all matching thread_ids, double-confirm for >50, deletes by exact ID only

### Deep Analysis (5-Pass Automated)
- `DEEP_ANALYSIS_PASSES` constant: 5 passes (Timeline, Pressure, Profiles, Financial, Win-Back)
- Each pass uses appropriate agent (general, deception_detector, contact_profiler, quote_analyst)
- `runDeepAnalysis()`: builds content once, runs 5 passes sequentially with conversation history building
- Results displayed in dedicated panel with per-pass sections, progress indicator
- Each response saved to MongoDB with `deep_analysis_pass` and `deep_analysis_name` metadata
- 2-second pause between passes to avoid rate limiting
- "Deep Analysis (5-Pass)" button next to "Send to AI" in thread_view.php

### Files Modified
- `public/thread_view.php` — Deep Analysis button+container+JS, context builder enhancements
- `public/assets/app.js` — pagination fix, deleteFoundThreads(), bulk delete button visibility
- `public/api.php` — `delete_threads_bulk` endpoint
- `src/QueryAdapter.php` — thread search `$or` on subject/from/to


Edit

### Deep Analysis (5-Pass Automated)
- `DEEP_ANALYSIS_PASSES` constant: 5 passes (Timeline, Pressure, Profiles, Financial, Win-Back)
- Each pass uses appropriate agent (general, deception_detector, contact_profiler, quote_analyst)
- `runDeepAnalysis()`: builds content once, runs 5 passes sequentially with conversation history building
- Results displayed in dedicated panel with per-pass sections, progress indicator
- Each response saved to MongoDB with `deep_analysis_pass` and `deep_analysis_name` metadata
- 2-second pause between passes to avoid rate limiting
- "Deep Analysis (5-Pass)" button next to "Send to AI" in thread_view.php

### Deep Analysis — Configurable Playbooks (2026-02-21)
- `DEEP_ANALYSIS_PLAYBOOKS` object replaces old `DEEP_ANALYSIS_PASSES` array
- 4 playbooks: `win_back` (5 passes), `regain_email` (5 passes), `quote_optimize` (5 passes), `relationship` (4 passes)
- Dropdown selector (`#deep-analysis-playbook`) populated by `initPlaybookDropdown()` on page load
- `runDeepAnalysis()` reads selected playbook from dropdown, runs all passes sequentially
- Each response saved with `deep_analysis_playbook` field (playbook key) in MongoDB
- `load_deep_analysis` API returns `playbook` key, `loadDeepAnalysis()` shows playbook name in header
- Playbook prompts: win-back (existing), re-engagement emails (Cialdini persuasion), quote optimization (anchoring/negotiation), relationship analysis


The file /root/.claude/projects/-var-www-mssql-danmarcrm-com-dev1-extension2/memory/MEMORY.md has been updated successfully.

### Deep Analysis — Configurable Playbooks (2026-02-21)
- `DEEP_ANALYSIS_PLAYBOOKS` object replaces old `DEEP_ANALYSIS_PASSES` array
- 4 playbooks: `win_back` (5 passes), `regain_email` (5 passes), `quote_optimize` (5 passes), `relationship` (4 passes)
- Dropdown selector (`#deep-analysis-playbook`) populated by `initPlaybookDropdown()` on page load
- `runDeepAnalysis()` reads selected playbook from dropdown, runs all passes sequentially
- Each response saved with `deep_analysis_playbook` field (playbook key) in MongoDB
- `load_deep_analysis` API returns `playbook` key, `loadDeepAnalysis()` shows playbook name in header
- Playbook prompts: win-back (existing), re-engagement emails (Cialdini persuasion), quote optimization (anchoring/negotiation), relationship analysis

# Email Intelligence System – Project Memory

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

## Key Paths
- **Server root (v1):** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/`
- **Server root (original):** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `public/` in either root
- **PHP classes:** `src/` in either root
- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
- **AI APIs:** `aiapi/` — two proxies: `api_codex51` (single), `api_opus` (multi-provider)
- **Config:** `config/`

## Live URLs
- https://mssql.danmarcrm.com/dev1/extension2v1/public/
- https://mssql.danmarcrm.com/dev1/extension2/public/

## Tech Stack
- Backend: PHP, DBs: MongoDB (primary) + SQL (legacy, mostly empty)
- AI: Multi-provider via `aiapi/api_codex51` (single) and `aiapi/api_opus` (multi-provider)
- Chrome Extension: Manifest V3, targets mail.google.com

## Key Architecture Patterns
- `MongoDatabase::insertOrUpdate()` for upserts (NOT `upsert()`)
- `ThreadAnalyzer::stripQuotedContent()` – public static, strips quoted email replies
- AI proxy models keyed by provider: `[$provider => $model]` (NOT `[$model]`)
- `QueryAdapter` handles MySQL/MongoDB routing — always use it (NOT raw `$db` SQL)
- Node.js on server is v10.19 — don't use for JS syntax checks
- `thread_view.php` uses `api_opus` proxy for multi-provider simultaneous requests
- Floating AI panel (index.php) uses `api_codex51` proxy for single-provider requests

## Bugs Fixed
- `contacts` API: was raw SQL → fixed to `QueryAdapter::getContactsWithProfiles()`
- AI proxy model override: `[$chatModel]` → `[$chatProvider => $chatModel]`
- Thread contact name: `$max`/`MAX()` picked wrong contact → fixed to find most frequent inbound sender

---

## 2026-02-20: AI Chat Enhancement — Full Implementation (extension2 + extension2v1)

### Floating AI Chat Panel (index.php + app.js)
- Multi-thread context builder, 5 AI agents, 8 providers, session persistence, contact memory
- Token budget management, `stripQuotedContent()` deduplication
- New API endpoints: `ai_chat`, `ai_chat_sessions`, `ai_chat_session`, `ai_chat_session_delete`, `ai_contact_memories`, `ai_contact_memory_add`, `ai_contact_memory_delete`

### Thread View Enhancement (thread_view.php)
- Full-width layout (was max-width 1600px, now 100%)
- 5 AI agent buttons (General, Quotes, Deception, Profiler, Composer) with quick prompts
- Context builder: search contacts/threads, add any thread from any contact
- Token estimation with model limits, warning when approaching max
- Agent system prompt injection into content sent to AI
- Debug file logging (`logs/ai_debug.log`) via `log_ai_debug` API endpoint
- Contact memory injection from `ai_contact_memory` collection
- Keeps existing: multi-provider simultaneous sending, conversation history, saved responses

### Dashboard Fixes (index.php + app.js + QueryAdapter.php)
- Hidden "AI Thread Analysis" section (slow N+1 queries, shows "Unknown")
- Reduced thread/contact load limits from 20 to 10
- Fixed thread contact name bug: `getThreadsMongo()` collects all contacts, post-processes to find most frequent inbound external sender; `getThreadsSQL()` uses subquery

### Files modified in extension2v1
- `src/ThreadAnalyzer.php` — `stripQuotedContent()` public static
- `src/QueryAdapter.php` — fixed `getThreadsMongo()` + `getThreadsSQL()` contact resolution
- `public/api.php` — `ai_chat` action, 6 new endpoints, `log_ai_debug` endpoint
- `public/assets/app.js` — AI chat panel JS, reduced limits, disabled analysis refresh
- `public/index.php` — floating AI panel HTML, hidden analysis section
- `public/thread_view.php` — full-width, agents, context builder, tokens, logging

---

## 2026-02-21: Dashboard Enhancements — 10 Tasks

### Delete Functionality (Task 1+6)
- API endpoints: `delete_contact`, `delete_thread`, `delete_ai_response`, `delete_threads_by_email`
- `QueryAdapter::deleteContact()` — cascades: emails, thread_analysis, contact_profiles, ai_contact_memory, ai_query_responses
- `QueryAdapter::deleteThread()` — cascades: emails, thread_analysis, ai_query_responses
- `QueryAdapter::deleteThreadsByEmail($email, $domain)` — aggregates thread_ids, calls deleteThread for each
- Frontend: Del buttons on contacts, threads, saved AI responses; bulk delete by email/domain prompt

### Sorting & Filters (Task 2+3)
- Sort dropdowns: contacts (Name A-Z/Z-A, Last Activity), threads (Last Activity, Most Emails, Newest)
- Filters: contacts (type, date range), threads (contact name, date range, analysis status)
- `getContactsWithProfilesMongo()` — accepts type/dateFrom/dateTo, $lookup emails for last_contact sort
- `getThreadsMongo()` — accepts sort/order/contactName/dateFrom/dateTo/status params

### Contact Name Fix (Task 4)
- `getThreadsMongo()` now pushes `to_email` alongside `from_email` into all_contacts
- For outbound emails, uses `to_email` (recipient) as external contact (weight 1x)
- For inbound, uses `from_email` (sender, weight 2x)

### Sync by Domain/Email (Task 5)
- API: `search_gmail_threads` — builds Gmail query, calls `GmailClient::searchThreads()`, checks which already imported
- API: `import_gmail_threads` — loops through selected thread_ids, fetches from Gmail API, saves emails+contacts
- UI: "Import from Gmail" panel in contacts tab with search input and results with checkboxes

### D3.js Chart (Task 8)
- D3.js v7 CDN loaded in thread_view.php
- "Generate Chart" button in follow-up bar
- Sends AI response to AI asking for structured JSON (nodes + links)
- `renderD3Chart()` — force-directed graph, color-coded by type, drag/zoom/pan, tooltips, legend

### Other Changes
- **Task 9:** Products tab hidden from navigation
- **Task 10:** AI models updated: Claude Opus 4.6, Sonnet 4.6 added as defaults
- **Task 7:** Chrome extension manual-only mode — documented but not implemented (extension on local Mac)

### New API Endpoints
- `delete_contact`, `delete_thread`, `delete_ai_response`, `delete_threads_by_email`
- `search_gmail_threads`, `import_gmail_threads`

### Files Modified
- `src/QueryAdapter.php` — 3 new delete methods, sort/filter params, contact name fix (to_email)
- `public/api.php` — 6 new endpoints (delete + import)
- `public/assets/app.js` — delete/filter/sort/sync JS functions
- `public/index.php` — sort dropdowns, filter bars, import panel, hidden Products tab
- `public/thread_view.php` — delete AI response button, D3.js chart, MODEL_LIMITS update
- `config/config.php` — CLAUDE_MODEL → claude-sonnet-4-6
- `aiapi/api_opus/config/api_keys.php` — Claude 4.6 models (both extension2 + extension2v1)

---

## 2026-02-21 (Session 2): Bug Fixes + Deep Analysis Feature

### Bug Fixes
- **Thread pagination broken**: `renderPagination` uses `loadFunction.name` for onclick — anonymous arrow `(p) => loadEmails(p)` has empty `.name`. Fixed: pass `loadEmails` directly.
- **Thread search only searched subject**: Added `$or` on `subject`, `from_email`, `to_email` in `getThreadsMongo()`
- **Context builder search limit was 5**: Increased to 100 threads, 10 contacts. Added "Add All" buttons and "Load More"
- **Contacts empty on last_contact sort**: Removed expensive `$lookup`, use existing `last_contact` field on contact documents

### Context Builder Enhancements
- `addAllSearchThreads()` — adds loaded threads to context
- `addAllSearchThreadsFull()` — fetches ALL pages then adds every thread
- `loadMoreSearchThreads()` — pagination for large result sets
- Thread search results show total count, "Add All X Threads" (blue, fetches all), "Add Shown X"
- Scrollable results area increased to 400px
- Contact thread limit raised from 20 to 100

### Bulk Delete Found Threads
- New API endpoint: `delete_threads_bulk` — accepts `{thread_ids: [...]}`, max 500, calls `deleteThread()` for each
- Dashboard: "Delete All X Found" button appears when search/filter active
- Safety: reads exact same filters, fetches all matching thread_ids, double-confirm for >50, deletes by exact ID only

### Deep Analysis (5-Pass Automated)
- `DEEP_ANALYSIS_PASSES` constant: 5 passes (Timeline, Pressure, Profiles, Financial, Win-Back)
- Each pass uses appropriate agent (general, deception_detector, contact_profiler, quote_analyst)
- `runDeepAnalysis()`: builds content once, runs 5 passes sequentially with conversation history building
- Results displayed in dedicated panel with per-pass sections, progress indicator
- Each response saved to MongoDB with `deep_analysis_pass` and `deep_analysis_name` metadata
- 2-second pause between passes to avoid rate limiting
- "Deep Analysis (5-Pass)" button next to "Send to AI" in thread_view.php

### Files Modified
- `public/thread_view.php` — Deep Analysis button+container+JS, context builder enhancements
- `public/assets/app.js` — pagination fix, deleteFoundThreads(), bulk delete button visibility
- `public/api.php` — `delete_threads_bulk` endpoint
- `src/QueryAdapter.php` — thread search `$or` on subject/from/to

-- `DEEP_ANALYSIS_PASSES` constant: 5 passes (Timeline, Pressure, Profiles, Financial, Win-Back)

-- Each pass uses appropriate agent (general, deception_detector, contact_profiler, quote_analyst)

-- `runDeepAnalysis()`: builds content once, runs 5 passes sequentially with conversation history building

-- Results displayed in dedicated panel with per-pass sections, progress indicator

-- Each response saved to MongoDB with `deep_analysis_pass` and `deep_analysis_name` metadata

-- 2-second pause between passes to avoid rate limiting

-- "Deep Analysis (5-Pass)" button next to "Send to AI" in thread_view.php

+### Deep Analysis — Configurable Playbooks (2026-02-21)

+- `DEEP_ANALYSIS_PLAYBOOKS` object replaces old `DEEP_ANALYSIS_PASSES` array

+- 4 playbooks: `win_back` (5 passes), `regain_email` (5 passes), `quote_optimize` (5 passes), `relationship` (4 passes)

+- Dropdown selector (`#deep-analysis-playbook`) populated by `initPlaybookDropdown()` on page load

+- `runDeepAnalysis()` reads selected playbook from dropdown, runs all passes sequentially

+- Each response saved with `deep_analysis_playbook` field (playbook key) in MongoDB

+- `load_deep_analysis` API returns `playbook` key, `loadDeepAnalysis()` shows playbook name in header

+- Playbook prompts: win-back (existing), re-engagement emails (Cialdini persuasion), quote optimization (anchoring/negotiation), relationship analysis


Implementation is complete. Here's a summary of all changes:

## Changes Made

### [thread_view.php](public/thread_view.php) (extension2v1)

1. **Replaced `DEEP_ANALYSIS_PASSES` with `DEEP_ANALYSIS_PLAYBOOKS`** — 4 configurable playbooks:
   - **Win Back Lost Client** (5 passes) — existing prompts preserved
   - **Re-Engagement Emails** (5 passes) — regain analysis, direct email, AI value prop email, indirect plan, persuasion toolkit
   - **Quote Optimization** (5 passes) — pricing history, budget/willingness, value framing, anchoring/negotiation, optimal quote
   - **Full Relationship Analysis** (4 passes) — timeline, profiles, financial, pressure detection

2. **Added dropdown UI** — `<select id="deep-analysis-playbook">` with "Deep Analysis" button, replaces the old single "Deep Analysis (5-Pass)" button

3. **Added `initPlaybookDropdown()`** — populates dropdown with playbook names + pass counts, called on DOMContentLoaded

4. **Updated `runDeepAnalysis()`** — reads selected playbook from dropdown, uses dynamic pass count in all messages, saves `deep_analysis_playbook` key to MongoDB

5. **Updated `loadDeepAnalysis()`** — shows playbook name in progress header and footer when loading saved results

### [api.php](public/api.php) (extension2v1)

1. **`save_ai_response`** — added `deep_analysis_playbook` field persistence (with null cleanup)

2. **`load_deep_analysis`** — tracks playbook key per pass, returns overall `playbook` key in response


I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Error: File content (47448 tokens) exceeds maximum allowed tokens (25000). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content.

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


<tool_use_error>Sibling tool call errored</tool_use_error>

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


1567:        const DEEP_ANALYSIS_PASSES = [
3095:            var passNames = DEEP_ANALYSIS_PASSES.map(function(p, i) { return (i+1) + '. ' + p.name; }).join('\n');
3160:                for (var passIdx = 0; passIdx < DEEP_ANALYSIS_PASSES.length; passIdx++) {
3161:                    var pass = DEEP_ANALYSIS_PASSES[passIdx];
3165:                    daProgress.textContent = 'Pass ' + passNum + '/' + DEEP_ANALYSIS_PASSES.length;
3325:                    if (passIdx < DEEP_ANALYSIS_PASSES.length - 1) {

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


3079:        async function runDeepAnalysis() {

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


1221:
1225:
Deep Analysis

1241:                        <button class="btn" onclick="loadDeepAnalysis()" style="background:linear-gradient(135deg,#8b5cf6,#3b82f6);color:white;font-size:0.85em;">Load Deep Analysis</button>
1443:                            Deep Analysis (5-Pass)
3096:            if (!confirm('Run Deep Analysis with ' + selectedProvidersList.length + ' AI provider(s)?\n\n' + passNames + '\n\nThis will run 5 sequential passes. Each pass builds on the previous conversation history.\n\nEstimated time: 3-10 minutes depending on content size and providers.')) {
3157:                console.log('Deep Analysis: Base content built, ' + baseEmailContent.length + ' chars');
3333:                document.getElementById('loading-message').textContent = 'Deep Analysis complete!';
3338:                summaryDiv.innerHTML = 'Deep Analysis Complete
' +
3344:                alert('Deep Analysis error: ' + err.message);
3352:        // Load saved Deep Analysis from MongoDB
3405:                footer.innerHTML = 'Deep Analysis Loaded
' +

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


3353:        async function loadDeepAnalysis() {

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


No matches found

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


  1567→        const DEEP_ANALYSIS_PASSES = [
  1568→            {
  1569→                id: 'timeline',
  1570→                name: 'Business Relationship Timeline',
  1571→                agent: 'general',
  1572→                prompt: 'Analyze the COMPLETE email history chronologically. Build a detailed timeline of the business relationship:\n\n1. KEY MILESTONES: When did the relationship start? What were the major projects/deals? When did things start going wrong? When did we lose them?\n2. TURNING POINTS: Identify the exact moments where the relationship shifted negatively. Quote specific emails.\n3. OUR MISTAKES: What did we do wrong? Late deliveries, missed expectations, poor communication, pricing issues? Be brutally honest.\n4. THEIR SATISFACTION CURVE: Rate their satisfaction (1-10) at each major point in the timeline.\n5. UNRESOLVED ISSUES: What was never properly addressed or closed?\n6. LAST INTERACTION: What was the tone and content of our last exchange? Did we leave the door open?'
  1573→            },
  1574→            {
  1575→                id: 'pressure',
  1576→                name: 'Pressure & Manipulation Detection',
  1577→                agent: 'deception_detector',
  1578→                prompt: 'Analyze ALL emails from the other party\'s team members for:\n\n1. PRESSURE TACTICS: Where did they push unreasonable deadlines, scope changes, or price reductions? Quote specific examples.\n2. BROKEN PROMISES from their side: Did they commit to volumes, timelines, payments that didn\'t materialize?\n3. DOUBLE STANDARDS: Did they hold us to standards they didn\'t meet themselves?\n4. ESCALATION PATTERNS: When and why did they escalate to the CEO? Was it justified or a power play?\n5. BLAME SHIFTING: Did they blame us for problems that were partially/fully their responsibility?\n6. GOOD FAITH SIGNALS: To be fair — where were they genuinely reasonable or helpful?\n\nRate each team member\'s negotiation tactics: FAIR / AGGRESSIVE / MANIPULATIVE with evidence.'
  1579→            },
  1580→            {
  1581→                id: 'profiles',
  1582→                name: 'Psychological Profiles',
  1583→                agent: 'contact_profiler',
  1584→                prompt: 'Build detailed psychological and business profiles for EACH person from the other party in these emails. For each person provide:\n\n1. NAME & ROLE (infer from email signatures and context)\n2. COMMUNICATION STYLE: Formal/casual, direct/indirect, emotional/analytical\n3. DECISION-MAKING: Do they decide alone or need approval? Fast or slow? Risk-averse?\n4. WHAT MOTIVATES THEM: Price? Quality? Relationships? Status? Control?\n5. HOW THEY HANDLE CONFLICT: Confrontational, avoidant, diplomatic, passive-aggressive?\n6. THEIR INFLUENCE: Who has real power vs who is just executing?\n7. THEIR ATTITUDE TOWARD US: Positive, neutral, negative? Did it change over time?\n8. APPROACH STRATEGY: How should we approach THIS specific person to rebuild the relationship?\n\nPay special attention to the CEO — what drives them, what frustrates them, what would win them back?'
  1585→            },
  1586→            {
  1587→                id: 'financial',
  1588→                name: 'Financial & Business Patterns',
  1589→                agent: 'quote_analyst',
  1590→                prompt: 'Analyze the complete financial and business history:\n\n1. ALL PRICES QUOTED: Every amount, every project, every change order — create a table\n2. PRICING TRENDS: Did our prices go up/down? Did they push for discounts? How much did we concede?\n3. SCOPE CREEP: Where did work expand beyond original quotes without matching price increases?\n4. PAYMENT BEHAVIOR: Were they prompt payers? Any disputes over invoices?\n5. VOLUME vs COMMITMENT: Did they promise volume that didn\'t materialize?\n6. COMPETITOR MENTIONS: Did they mention other suppliers? Use competitor pricing as leverage?\n7. PROFITABILITY ASSESSMENT: Based on the patterns, were they a profitable client or were we losing money?\n8. RE-ENGAGEMENT PRICING: What pricing strategy should we use to win them back without repeating past mistakes?'
  1591→            },
  1592→            {
  1593→                id: 'winback',
  1594→                name: 'Win-Back Strategy',
  1595→                agent: 'general',
  1596→                prompt: 'Based on everything in these emails AND your previous analysis passes (timeline, pressure tactics, profiles, financials), create a CONCRETE win-back strategy:\n\n1. ROOT CAUSE SUMMARY: In 3 sentences, why did we lose them?\n2. WHAT THEY VALUED: What did they actually appreciate about working with us?\n3. WHAT THEY HATED: What were their consistent pain points?\n4. COMPETITIVE POSITION: What would make them choose us over their current supplier?\n5. APPROACH PLAN:\n   - WHO to contact first (and why that person)\n   - WHEN (timing considerations based on their business cycle)\n   - HOW (email, call, in-person meeting?)\n   - WHAT to say (draft an opening message)\n   - WHAT TO OFFER (specific value proposition addressing their known pain points)\n6. RED LINES: What should we NOT agree to if they come back? What terms caused problems before?\n7. SUCCESS METRICS: How will we know the re-engagement is working?\n\nBe specific. Reference actual names, actual issues, actual quotes from the emails.'
  1597→            }
  1598→        ];
  1599→
  1600→        // ============================================
  1601→        // TOKEN ESTIMATION
  1602→        // ============================================
  1603→        const MODEL_LIMITS = {
  1604→            'claude-opus-4-6': 200000,
  1605→            'claude-sonnet-4-6': 200000,
  1606→            'claude-sonnet-4-5-20250929': 200000,
  1607→            'claude-3-5-sonnet-20241022': 200000,
  1608→            'claude-opus-4-5-20250929': 200000,
  1609→            'claude-3-opus-20240229': 200000,
  1610→            'claude-3-5-haiku-20241022': 200000,
  1611→            'gpt-4o': 128000,
  1612→            'gpt-4o-mini': 128000,
  1613→            'gpt-4-turbo': 128000,
  1614→            'gpt-4.1': 1000000,
  1615→            'gpt-4.1-mini': 1000000,
  1616→            'o3': 200000,
  1617→            'o3-mini': 200000,
  1618→            'o4-mini': 200000,
  1619→            'gemini-2.0-flash': 1048576,
  1620→            'gemini-2.5-pro-preview-05-06': 1048576,
  1621→            'gemini-2.5-flash-preview-04-17': 1048576,
  1622→            'grok-3': 131072,
  1623→            'grok-3-mini': 131072,
  1624→            'deepseek-chat': 64000,
  1625→            'deepseek-reasoner': 64000,
  1626→            'qwen-max': 32000,
  1627→            'qwen-plus': 131000,
  1628→            'mistral-large-latest': 128000,
  1629→            'command-a-03-2025': 256000,
  1630→            'command-r-plus': 128000
  1631→        };
  1632→
  1633→        function getSmallestModelLimit() {
  1634→            var selectedProviders = getSelectedProviders();
  1635→            var minLimit = Infinity;
  1636→            selectedProviders.forEach(function(prov) {
  1637→                var modelSelect = document.getElementById('model_' + prov);
  1638→                var model = modelSelect ? modelSelect.value : '';
  1639→                var limit = MODEL_LIMITS[model] || 128000;
  1640→                if (limit < minLimit) minLimit = limit;
  1641→            });
  1642→            return minLimit === Infinity ? 128000 : minLimit;
  1643→        }
  1644→
  1645→        function estimateCurrentTokens() {
  1646→            var content = buildEmailContent();
  1647→            var question = (document.getElementById('ai-question').value || '').trim();
  1648→            var context = (document.getElementById('ai-context').value || '').trim();
  1649→            var agent = AI_AGENTS[selectedAgent];
  1650→            var total = content.length;
  1651→            if (agent) total += agent.systemPrompt.length;
  1652→            if (question) total += question.length;
  1653→            if (context) total += context.length;
  1654→            // Add conversation history estimate
  1655→            total += buildConversationContext().length;
  1656→            // Add context threads + checkbox threads estimate
  1657→            // Use emailCount * 500 chars per stripped email (realistic average)
  1658→            var checkboxThreads = getSelectedThreads();
  1659→            contextThreads.forEach(function(ct) { total += ct.emailCount * 500; });
  1660→            total += checkboxThreads.length * 5000; // rough estimate for checkbox threads
  1661→            return Math.ceil(total / 3.5);
  1662→        }
  1663→
  1664→        function updateTokenEstimate() {
  1665→            var el = document.getElementById('token-estimate');
  1666→            if (!el) return;

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


3079→        async function runDeepAnalysis() {
  3080→            // Validate providers selected
  3081→            var selectedProvidersList = getSelectedProviders();
  3082→            if (selectedProvidersList.length === 0) {
  3083→                alert('Please select at least one AI provider.');
  3084→                return;
  3085→            }
  3086→
  3087→            // Build models map
  3088→            var modelsMap = {};
  3089→            selectedProvidersList.forEach(function(provider) {
  3090→                var modelSelect = document.getElementById('model_' + provider);
  3091→                modelsMap[provider] = modelSelect ? modelSelect.value : '';
  3092→            });
  3093→
  3094→            // Confirm with user
  3095→            var passNames = DEEP_ANALYSIS_PASSES.map(function(p, i) { return (i+1) + '. ' + p.name; }).join('\n');
  3096→            if (!confirm('Run Deep Analysis with ' + selectedProvidersList.length + ' AI provider(s)?\n\n' + passNames + '\n\nThis will run 5 sequential passes. Each pass builds on the previous conversation history.\n\nEstimated time: 3-10 minutes depending on content size and providers.')) {
  3097→                return;
  3098→            }
  3099→
  3100→            // Get content settings
  3101→            var contentMode = document.getElementById('content-mode').value;
  3102→            var additionalThreads = getSelectedThreads();
  3103→            var contextThreadIds = contextThreads.map(function(ct) { return ct.threadId; });
  3104→            var allAdditionalThreads = additionalThreads.concat(contextThreadIds);
  3105→            var context = document.getElementById('ai-context').value.trim();
  3106→            var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;
  3107→            var modelLimit = getSmallestModelLimit();
  3108→
  3109→            // Show deep analysis container and loading
  3110→            var daContainer = document.getElementById('deep-analysis-container');
  3111→            var daResults = document.getElementById('deep-analysis-results');
  3112→            var daProgress = document.getElementById('deep-analysis-progress');
  3113→            daContainer.style.display = 'block';
  3114→            daResults.innerHTML = '';
  3115→            daContainer.scrollIntoView({ behavior: 'smooth' });
  3116→
  3117→            // Disable buttons
  3118→            document.getElementById('submit-ai-btn').disabled = true;
  3119→            document.getElementById('deep-analysis-btn').disabled = true;
  3120→            document.getElementById('loading-overlay').classList.add('active');
  3121→
  3122→            try {
  3123→                // ---- BUILD BASE CONTENT ONCE ----
  3124→                document.getElementById('loading-message').textContent = 'Building email content...';
  3125→
  3126→                var memoryBlock = '';
  3127→                if (contactMemories.length > 0 && primaryContactName) {
  3128→                    memoryBlock = '=== KNOWN FACTS ABOUT ' + primaryContactName.toUpperCase() + ' ===\n';
  3129→                    contactMemories.forEach(function(m) {
  3130→                        memoryBlock += '- ' + (m.fact || m) + '\n';
  3131→                    });
  3132→                    memoryBlock += '=== END KNOWN FACTS ===\n\n';
  3133→                }
  3134→
  3135→                var baseEmailContent = memoryBlock + buildEmailContent();
  3136→
  3137→                // Fetch additional thread content
  3138→                if (allAdditionalThreads.length > 0) {
  3139→                    for (var i = 0; i < allAdditionalThreads.length; i++) {
  3140→                        var tid = allAdditionalThreads[i];
  3141→                        document.getElementById('loading-message').textContent = 'Loading additional thread ' + (i + 1) + '/' + allAdditionalThreads.length + '...';
  3142→                        try {
  3143→                            var threadResp = await fetch('api.php?action=thread_for_ai&thread_id=' + tid);
  3144→                            if (!threadResp.ok) continue;
  3145→                            var thread = await threadResp.json();
  3146→                            if (thread.emails && thread.emails.length > 0) {
  3147→                                baseEmailContent += '\n\n--- ADDITIONAL THREAD ' + (i + 1) + ' OF ' + allAdditionalThreads.length + ' ---\n';
  3148→                                baseEmailContent += 'Subject: ' + (thread.emails[0].subject || '(No Subject)') + '\n\n';
  3149→                                baseEmailContent += processAdditionalThreadContent(thread.emails, 'full');
  3150→                            }
  3151→                        } catch (fetchErr) {
  3152→                            console.warn('Error fetching thread ' + tid + ':', fetchErr);
  3153→                        }
  3154→                    }
  3155→                }
  3156→
  3157→                console.log('Deep Analysis: Base content built, ' + baseEmailContent.length + ' chars');
  3158→
  3159→                // ---- RUN EACH PASS SEQUENTIALLY ----
  3160→                for (var passIdx = 0; passIdx < DEEP_ANALYSIS_PASSES.length; passIdx++) {
  3161→                    var pass = DEEP_ANALYSIS_PASSES[passIdx];
  3162→                    var passNum = passIdx + 1;
  3163→                    var passAgent = AI_AGENTS[pass.agent];
  3164→
  3165→                    daProgress.textContent = 'Pass ' + passNum + '/' + DEEP_ANALYSIS_PASSES.length;
  3166→                    document.getElementById('loading-message').textContent = 'Pass ' + passNum + '/5: ' + pass.name + '...';
  3167→
  3168→                    // Add pass progress placeholder to results
  3169→                    var passSection = document.createElement('div');
  3170→                    passSection.id = 'deep-pass-' + pass.id;
  3171→                    passSection.style.cssText = 'margin-bottom:20px;border:1px solid #e5e7eb;border-radius:8px;overflow:hidden;';
  3172→                    passSection.innerHTML = '
' +
  3173→                        'Pass ' + passNum + ': ' + escapeHtml(pass.name) + '' +
  3174→                        'Agent: ' + escapeHtml(passAgent.icon + ' ' + passAgent.name) + '' +
  3175→                        '
' +
  3176→                        '

Running analysis...

';
  3177→                    daResults.appendChild(passSection);
  3178→
  3179→                    // Build full content for this pass
  3180→                    var agentPrompt = '=== AI AGENT INSTRUCTIONS ===\n' + passAgent.systemPrompt + '\n=== END AGENT INSTRUCTIONS ===\n\n';
  3181→                    var fullContent = agentPrompt + baseEmailContent;
  3182→
  3183→                    // Add conversation history (builds up across passes)
  3184→                    var conversationContext = buildConversationContext();
  3185→                    if (conversationContext) {
  3186→                        fullContent += conversationContext;
  3187→                    }
  3188→
  3189→                    // Add the pass question
  3190→                    fullContent += '\n\nCURRENT USER QUESTION:\n' + pass.prompt;
  3191→
  3192→                    // Add user context if provided
  3193→                    if (context) {
  3194→                        fullContent += '\n\nADDITIONAL CONTEXT:\n' + context;
  3195→                    }
  3196→
  3197→                    // Truncate to fit model limit
  3198→                    var maxChars = Math.floor(modelLimit * 3.5 * 0.85);
  3199→                    if (fullContent.length > maxChars) {
  3200→                        fullContent = fullContent.substring(0, maxChars) + '\n\n...(Content truncated to fit model context limit)';
  3201→                    }
  3202→
  3203→                    var finalTokens = Math.ceil(fullContent.length / 3.5);
  3204→
  3205→                    // Log
  3206→                    logAiDebug({
  3207→                        type: 'deep_analysis_pass',
  3208→                        pass: passNum,
  3209→                        pass_name: pass.name,
  3210→                        agent: pass.agent,
  3211→                        thread_id: currentThreadId,
  3212→                        providers: selectedProvidersList,
  3213→                        models: modelsMap,
  3214→                        content_length: fullContent.length,
  3215→                        estimated_tokens: finalTokens,
  3216→                        context_threads: allAdditionalThreads.length
  3217→                    });
  3218→
  3219→                    // Build request
  3220→                    var requestBody = {
  3221→                        user_content: fullContent,
  3222→                        providers: selectedProvidersList
  3223→                    };
  3224→                    for (var provider in modelsMap) {
  3225→                        requestBody['model_' + provider] = modelsMap[provider];
  3226→                    }
  3227→
  3228→                    // Send to AI
  3229→                    document.getElementById('loading-message').textContent = 'Pass ' + passNum + '/5: ' + pass.name + ' — sending ~' + finalTokens.toLocaleString() + ' tokens to ' + selectedProvidersList.length + ' AI(s)...';
  3230→
  3231→                    try {
  3232→                        var response = await fetchWithTimeout('../aiapi/api_opus/api/query.php', {
  3233→                            method: 'POST',
  3234→                            headers: { 'Content-Type': 'application/json' },
  3235→                            body: JSON.stringify(requestBody)
  3236→                        }, timeoutSec * 1000);
  3237→
  3238→                        if (!response.ok) {
  3239→                            throw new Error('HTTP ' + response.status);
  3240→                        }
  3241→
  3242→                        var data = JSON.parse(await response.text());
  3243→
  3244→                        // Display results for this pass
  3245→                        var passContentEl = passSection.querySelector('.deep-pass-content');
  3246→                        var passHtml = '';
  3247→
  3248→                        if (data.success) {
  3249→                            var firstProvider = null;
  3250→                            var firstResponse = null;
  3251→
  3252→                            for (var pi = 0; pi < selectedProvidersList.length; pi++) {
  3253→                                var prov = selectedProvidersList[pi];
  3254→                                var provResponse = data.responses[prov + '_response'];
  3255→                                var provConfig = providers[prov] || { name: prov };
  3256→
  3257→                                if (provResponse && provResponse.success) {
  3258→                                    if (!firstProvider) {
  3259→                                        firstProvider = prov;
  3260→                                        firstResponse = provResponse;
  3261→                                    }
  3262→
  3263→                                    passHtml += '
';
  3264→                                    passHtml += '
';
  3265→                                    passHtml += '' + escapeHtml(provConfig.name) + '';
  3266→                                    passHtml += '' + escapeHtml(provResponse.model || '') + ' | ' + (provResponse.request_time ? provResponse.request_time.toFixed(1) + 's' : '') + ' | $' + (provResponse.cost ? provResponse.cost.toFixed(4) : '0') + '';
  3267→                                    passHtml += '
';
  3268→                                    passHtml += '
' + escapeHtml(provResponse.response) + '
';
  3269→                                    passHtml += '
';
  3270→
  3271→                                    // Save to MongoDB
  3272→                                    await saveAIResponse({
  3273→                                        thread_ids: [currentThreadId].concat(allAdditionalThreads),
  3274→                                        contact_id: primaryContactId,
  3275→                                        question: pass.prompt,
  3276→                                        context: context,
  3277→                                        agent: pass.agent,
  3278→                                        content_mode: contentMode,
  3279→                                        content_sent: fullContent,
  3280→                                        content_length: fullContent.length,
  3281→                                        estimated_tokens: finalTokens,
  3282→                                        provider: prov,
  3283→                                        model: modelsMap[prov],
  3284→                                        query_id: data.query_id,
  3285→                                        response: provResponse,
  3286→                                        total_cost: provResponse.cost || 0,
  3287→                                        all_providers: selectedProvidersList,
  3288→                                        deep_analysis_pass: passNum,
  3289→                                        deep_analysis_name: pass.name
  3290→                                    });
  3291→                                } else if (provResponse) {
  3292→                                    passHtml += '
';
  3293→                                    passHtml += '' + escapeHtml(provConfig.name) + ' failed: ' + escapeHtml(provResponse.error || 'Unknown error') + '
';
  3294→                                }
  3295→                            }
  3296→
  3297→                            // Add to conversation history (first successful)
  3298→                            if (firstProvider && firstResponse) {
  3299→                                addToConversation(pass.prompt, firstResponse.response, firstProvider, modelsMap[firstProvider], context);
  3300→                            }
  3301→
  3302→                            // Update pass header with success
  3303→                            var passHeader = passSection.querySelector('div:first-child');
  3304→                            passHeader.style.background = '#f0fdf4';
  3305→                            passHeader.style.borderBottom = '1px solid #86efac';
  3306→                        } else {
  3307→                            passHtml = '
All providers failed for this pass.
';
  3308→                            var passHeader2 = passSection.querySelector('div:first-child');
  3309→                            passHeader2.style.background = '#fef2f2';
  3310→                        }
  3311→
  3312→                        passContentEl.innerHTML = passHtml;
  3313→
  3314→                    } catch (passErr) {
  3315→                        var passContentEl2 = passSection.querySelector('.deep-pass-content');
  3316→                        passContentEl2.innerHTML = '
Error: ' + escapeHtml(passErr.message) + '
';
  3317→                        var passHeader3 = passSection.querySelector('div:first-child');
  3318→                        passHeader3.style.background = '#fef2f2';
  3319→                    }
  3320→
  3321→                    // Scroll to latest result
  3322→                    passSection.scrollIntoView({ behavior: 'smooth', block: 'start' });
  3323→
  3324→                    // Brief pause between passes to avoid rate limiting
  3325→                    if (passIdx < DEEP_ANALYSIS_PASSES.length - 1) {
  3326→                        document.getElementById('loading-message').textContent = 'Pass ' + passNum + ' complete. Starting next pass...';
  3327→                        await new Promise(function(resolve) { setTimeout(resolve, 2000); });
  3328→                    }
  3329→                }
  3330→
  3331→                // All passes complete
  3332→                daProgress.textContent = 'Complete (5/5)';
  3333→                document.getElementById('loading-message').textContent = 'Deep Analysis complete!';
  3334→
  3335→                // Add summary header
  3336→                var summaryDiv = document.createElement('div');
  3337→                summaryDiv.style.cssText = 'margin-top:15px;padding:15px;background:linear-gradient(135deg,#f0fdf4,#ecfeff);border-radius:8px;border:1px solid #86efac;';
  3338→                summaryDiv.innerHTML = 'Deep Analysis Complete
' +
  3339→                    '5 passes completed with ' + selectedProvidersList.length + ' provider(s). Results saved to AI responses. Use "Generate Chart" on any pass for visualization.';
  3340→                daResults.appendChild(summaryDiv);
  3341→
  3342→            } catch (err) {
  3343→                daProgress.textContent = 'Error';
  3344→                alert('Deep Analysis error: ' + err.message);
  3345→            } finally {
  3346→                document.getElementById('loading-overlay').classList.remove('active');
  3347→                document.getElementById('submit-ai-btn').disabled = false;
  3348→                document.getElementById('deep-analysis-btn').disabled = false;
  3349→            }
  3350→        }
  3351→
  3352→        // Load saved Deep Analysis from MongoDB
  3353→        async function loadDeepAnalysis() {
  3354→            var daContainer = document.getElementById('deep-analysis-container');
  3355→            var daResults = document.getElementById('deep-analysis-results');
  3356→            var daProgress = document.getElementById('deep-analysis-progress');
  3357→
  3358→            daContainer.style.display = 'block';
  3359→            daResults.innerHTML = '
Loading deep analysis...
';
  3360→            daProgress.textContent = 'Loading...';
  3361→            daContainer.scrollIntoView({ behavior: 'smooth' });
  3362→
  3363→            try {
  3364→                var resp = await fetch('api.php?action=load_deep_analysis&thread_id=' + encodeURIComponent(currentThreadId));
  3365→                var data = await resp.json();
  3366→
  3367→                if (!data.success || !data.passes || data.passes.length === 0) {
  3368→                    daResults.innerHTML = '
No deep analysis found for this thread.
';
  3369→                    daProgress.textContent = '';
  3370→                    return;
  3371→                }
  3372→
  3373→                daResults.innerHTML = '';
  3374→                daProgress.textContent = data.passes.length + ' passes loaded';
  3375→
  3376→                data.passes.forEach(function(pass) {
  3377→                    var passAgent = AI_AGENTS[pass.agent] || { name: pass.agent, icon: '' };
  3378→

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


3353→        async function loadDeepAnalysis() {
  3354→            var daContainer = document.getElementById('deep-analysis-container');
  3355→            var daResults = document.getElementById('deep-analysis-results');
  3356→            var daProgress = document.getElementById('deep-analysis-progress');
  3357→
  3358→            daContainer.style.display = 'block';
  3359→            daResults.innerHTML = '
Loading deep analysis...
';
  3360→            daProgress.textContent = 'Loading...';
  3361→            daContainer.scrollIntoView({ behavior: 'smooth' });
  3362→
  3363→            try {
  3364→                var resp = await fetch('api.php?action=load_deep_analysis&thread_id=' + encodeURIComponent(currentThreadId));
  3365→                var data = await resp.json();
  3366→
  3367→                if (!data.success || !data.passes || data.passes.length === 0) {
  3368→                    daResults.innerHTML = '
No deep analysis found for this thread.
';
  3369→                    daProgress.textContent = '';
  3370→                    return;
  3371→                }
  3372→
  3373→                daResults.innerHTML = '';
  3374→                daProgress.textContent = data.passes.length + ' passes loaded';
  3375→
  3376→                data.passes.forEach(function(pass) {
  3377→                    var passAgent = AI_AGENTS[pass.agent] || { name: pass.agent, icon: '' };
  3378→
  3379→                    var passSection = document.createElement('div');
  3380→                    passSection.style.cssText = 'margin-bottom:20px;border:1px solid #e5e7eb;border-radius:8px;overflow:hidden;';
  3381→
  3382→                    var passHtml = '
' +
  3383→                        'Pass ' + pass.pass + ': ' + escapeHtml(pass.name) + '' +
  3384→                        'Agent: ' + escapeHtml(passAgent.icon + ' ' + passAgent.name) + '' +
  3385→                        '

';
  3386→
  3387→                    pass.responses.forEach(function(r) {
  3388→                        passHtml += '
';
  3389→                        passHtml += '
';
  3390→                        passHtml += '' + escapeHtml(r.provider) + '';
  3391→                        passHtml += '' + escapeHtml(r.model) + ' | ' + (r.request_time ? parseFloat(r.request_time).toFixed(1) + 's' : '') + ' | $' + (r.cost ? parseFloat(r.cost).toFixed(4) : '0') + '';
  3392→                        passHtml += '
';
  3393→                        passHtml += '
' + escapeHtml(r.response) + '
';
  3394→                        passHtml += '
';
  3395→                    });
  3396→
  3397→                    passHtml += '
';
  3398→                    passSection.innerHTML = passHtml;
  3399→                    daResults.appendChild(passSection);
  3400→                });
  3401→
  3402→                // Add info footer
  3403→                var footer = document.createElement('div');
  3404→                footer.style.cssText = 'margin-top:15px;padding:15px;background:linear-gradient(135deg,#f0fdf4,#ecfeff);border-radius:8px;border:1px solid #86efac;';
  3405→                footer.innerHTML = 'Deep Analysis Loaded
' +
  3406→                    '' + data.total_responses + ' saved responses across ' + data.passes.length + ' passes.';
  3407→                daResults.appendChild(footer);
  3408→
  3409→            } catch (err) {
  3410→                daResults.innerHTML = '
Error loading deep analysis: ' + escapeHtml(err.message) + '
';
  3411→                daProgress.textContent = 'Error';
  3412→            }
  3413→        }
  3414→
  3415→        // Submit to AI
  3416→        async function submitToAI() {
  3417→            var selectedProvidersList = getSelectedProviders();
  3418→
  3419→            if (selectedProvidersList.length === 0) {
  3420→                alert('Please select at least one AI provider');
  3421→                return;
  3422→            }
  3423→
  3424→            var question = document.getElementById('ai-question').value.trim();
  3425→            var context = document.getElementById('ai-context').value.trim();
  3426→            var contentMode = document.getElementById('content-mode').value;
  3427→            var additionalThreads = getSelectedThreads();
  3428→            // Also include context builder threads
  3429→            var contextThreadIds = contextThreads.map(function(ct) { return ct.threadId; });
  3430→            var allAdditionalThreads = additionalThreads.concat(contextThreadIds);
  3431→
  3432→            // Build models map for each selected provider
  3433→            var modelsMap = {};
  3434→            selectedProvidersList.forEach(function(provider) {
  3435→                var modelSelect = document.getElementById('model_' + provider);
  3436→                modelsMap[provider] = modelSelect ? modelSelect.value : '';
  3437→            });
  3438→
  3439→            // Token check
  3440→            var estimatedTokens = estimateCurrentTokens();
  3441→            var modelLimit = getSmallestModelLimit();
  3442→            if (estimatedTokens > modelLimit * 0.95) {
  3443→                if (!confirm('Estimated tokens (' + estimatedTokens.toLocaleString() + ') may exceed model limit (' + modelLimit.toLocaleString() + '). Continue anyway?')) {
  3444→                    return;
  3445→                }
  3446→            }
  3447→
  3448→            // Show loading
  3449→            document.getElementById('loading-overlay').classList.add('active');
  3450→            document.getElementById('submit-ai-btn').disabled = true;
  3451→
  3452→            try {

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


1220→
  1221→
  1222→

  1223→

  1224→

  1225→
Deep Analysis

  1226→

  1227→
  1228→                                <button class="btn" style="background:rgba(255,255,255,0.2);color:white;border:1px solid rgba(255,255,255,0.3);" onclick="document.getElementById('deep-analysis-container').style.display='none'">Close</button>
  1229→

  1230→

  1231→

  1232→

  1233→

  1234→
  1235→
  1236→                <?php if (!empty($savedResponses)): ?>
  1237→

  1238→

  1239→
Previous AI Analyses (<?= $totalSavedResponses ?> total)

  1240→                        <?php if ($hasDeepAnalysis): ?>
  1241→                        <button class="btn" onclick="loadDeepAnalysis()" style="background:linear-gradient(135deg,#8b5cf6,#3b82f6);color:white;font-size:0.85em;">Load Deep Analysis</button>
  1242→                        <?php endif; ?>
  1243→

  1244→

  1245→                        <?php foreach ($savedResponses as $saved):
  1246→                            // Determine what to display as the "question"
  1247→                            $displayQuestion = $saved['question'] ?? 'General Analysis';
  1248→                            $hasContext = !empty($saved['context']);
  1249→                            $isDefaultQuestion = strpos($displayQuestion, 'Please analyze this email conversation') === 0;
  1250→
  1251→                            // If question is the default and user provided context, show context instead
  1252→                            if ($isDefaultQuestion && $hasContext) {
  1253→                                $displayQuestion = '[Context] ' . $saved['context'];
  1254→                            } elseif ($hasContext && !$isDefaultQuestion) {
  1255→                                // If both custom question and context exist, show question + indicator
  1256→                                $displayQuestion = $displayQuestion . ' (+context)';
  1257→                            }
  1258→
  1259→                            // Truncate to 200 chars instead of 100
  1260→                            $displayQuestion = strlen($displayQuestion) > 200
  1261→                                ? substr($displayQuestion, 0, 200) . '...'
  1262→                                : $displayQuestion;
  1263→
  1264→                            // Get response excerpt for easier identification
  1265→                            $responseText = $saved['response']['response'] ?? '';
  1266→                            $responseExcerpt = strlen($responseText) > 120
  1267→                                ? substr($responseText, 0, 120) . '...'
  1268→                                : $responseText;
  1269→                        ?>

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


4757-            break;
4758-
4759-        // ==========================================
4760-        // Save AI Query Response (MongoDB)
4761-        // ==========================================
4762:        case 'save_ai_response':
4763-            if ($_SERVER['REQUEST_METHOD'] !== 'POST') {
4764-                jsonError('POST required', 405);
4765-            }
4766-
4767-            $mongo = \EmailIntelligence\MongoDatabase::getInstance();
--
4933-
4934-
4935-        // ==========================================
4936-        // Load Deep Analysis responses for a thread
4937-        // ==========================================
4938:        case 'load_deep_analysis':
4939-            $threadId = $_GET['thread_id'] ?? '';
4940-            if (!$threadId) jsonError('thread_id required');
4941-            $threadId = resolveThreadId($threadId);
4942-
4943-            $mongo = \EmailIntelligence\MongoDatabase::getInstance();

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


4799-                'response' => $jsonData['response'] ?? null,
4800-                'total_cost' => $jsonData['total_cost'] ?? 0,
4801-                'agent' => $jsonData['agent'] ?? null,
4802:                'deep_analysis_pass' => isset($jsonData['deep_analysis_pass']) ? (int)$jsonData['deep_analysis_pass'] : null,
4803:                'deep_analysis_name' => $jsonData['deep_analysis_name'] ?? null,
4804-                'created_at' => date('Y-m-d H:i:s')
4805-            ];
4806-
4807-            // Remove null optional fields to keep documents clean
4808-            if ($responseDoc['agent'] === null) unset($responseDoc['agent']);
4809:            if ($responseDoc['deep_analysis_pass'] === null) unset($responseDoc['deep_analysis_pass']);
4810:            if ($responseDoc['deep_analysis_name'] === null) unset($responseDoc['deep_analysis_name']);
4811-
4812-            $id = $mongo->insert('ai_query_responses', $responseDoc);
4813-
--
4935-        // ==========================================
4936-        // Load Deep Analysis responses for a thread
4937-        // ==========================================
4938:        case 'load_deep_analysis':
4939-            $threadId = $_GET['thread_id'] ?? '';
4940-            if (!$threadId) jsonError('thread_id required');
4941-            $threadId = resolveThreadId($threadId);
4942-
4943-            $mongo = \EmailIntelligence\MongoDatabase::getInstance();
4944-
4945:            // Find all responses with deep_analysis_pass field for this thread
4946-            $responses = $mongo->findAll('ai_query_responses', [
4947-                'thread_ids' => $threadId,
4948:                'deep_analysis_pass' => ['$exists' => true]
4949-            ], [
4950:                'sort' => ['deep_analysis_pass' => 1, 'created_at' => -1]
4951-            ]);
4952-
4953-            / Fallback: if no tagged responses, detect by matching question text patterns
--
4971-                    $q = $r['question'] ?? '';
4972-                    foreach ($passSignatures as $passNum => $sig) {
4973-                        if (stripos($q, $sig['match']) !== false) {
4974:                            $r['deep_analysis_pass'] = $passNum;
4975:                            $r['deep_analysis_name'] = $sig['name'];
4976-                            $r['agent'] = $r['agent'] ?? $sig['agent'];
4977-                            $responses[] = $r;
4978-                            break;
--
4984-            // Group by pass
4985-            $passes = [];
4986-            foreach ($responses as $r) {
4987:                $passNum = $r['deep_analysis_pass'] ?? 0;
4988-                if (!isset($passes[$passNum])) {
4989-                    $passes[$passNum] = [
4990-                        'pass' => $passNum,
4991:                        'name' => $r['deep_analysis_name'] ?? 'Pass ' . $passNum,
4992-                        'agent' => $r['agent'] ?? 'general',
4993-                        'responses' => []
4994-                    ];

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


  4762→        case 'save_ai_response':
  4763→            if ($_SERVER['REQUEST_METHOD'] !== 'POST') {
  4764→                jsonError('POST required', 405);
  4765→            }
  4766→
  4767→            $mongo = \EmailIntelligence\MongoDatabase::getInstance();
  4768→            if (!$mongo->isAvailable()) {
  4769→                jsonError('MongoDB not available');
  4770→            }
  4771→
  4772→            // Parse JSON input
  4773→            $jsonData = json_decode(file_get_contents('php://input'), true);
  4774→            if (!$jsonData) {
  4775→                jsonError('Invalid JSON data');
  4776→            }
  4777→
  4778→            $threadIds = $jsonData['thread_ids'] ?? [];
  4779→            if (empty($threadIds)) {
  4780→                jsonError('thread_ids required');
  4781→            }
  4782→
  4783→            // Auto-resolve URL thread IDs to hex IDs
  4784→            $threadIds = array_map('resolveThreadId', $threadIds);
  4785→
  4786→            $responseDoc = [
  4787→                'thread_ids' => $threadIds,
  4788→                'contact_id' => isset($jsonData['contact_id']) ? (int)$jsonData['contact_id'] : null,
  4789→                'question' => $jsonData['question'] ?? 'General Analysis',
  4790→                'context' => $jsonData['context'] ?? null,
  4791→                'content_mode' => $jsonData['content_mode'] ?? 'full',
  4792→                'content_sent' => $jsonData['content_sent'] ?? null,
  4793→                'content_length' => $jsonData['content_length'] ?? 0,
  4794→                'estimated_tokens' => $jsonData['estimated_tokens'] ?? 0,
  4795→                'provider' => $jsonData['provider'] ?? 'unknown',
  4796→                'model' => $jsonData['model'] ?? 'unknown',
  4797→                'all_providers' => $jsonData['all_providers'] ?? [],
  4798→                'query_id' => $jsonData['query_id'] ?? null,
  4799→                'response' => $jsonData['response'] ?? null,
  4800→                'total_cost' => $jsonData['total_cost'] ?? 0,
  4801→                'agent' => $jsonData['agent'] ?? null,
  4802→                'deep_analysis_pass' => isset($jsonData['deep_analysis_pass']) ? (int)$jsonData['deep_analysis_pass'] : null,
  4803→                'deep_analysis_name' => $jsonData['deep_analysis_name'] ?? null,
  4804→                'created_at' => date('Y-m-d H:i:s')
  4805→            ];
  4806→
  4807→            // Remove null optional fields to keep documents clean
  4808→            if ($responseDoc['agent'] === null) unset($responseDoc['agent']);
  4809→            if ($responseDoc['deep_analysis_pass'] === null) unset($responseDoc['deep_analysis_pass']);
  4810→            if ($responseDoc['deep_analysis_name'] === null) unset($responseDoc['deep_analysis_name']);
  4811→
  4812→            $id = $mongo->insert('ai_query_responses', $responseDoc);
  4813→
  4814→            jsonResponse([
  4815→                'success' => true,
  4816→                'id' => $id,
  4817→                'message' => 'AI response saved'
  4818→            ]);
  4819→            break;
  4820→
  4821→        // ==========================================
  4822→        // Log AI Debug Info to File
  4823→        // ==========================================
  4824→        case 'log_ai_debug':
  4825→            if ($_SERVER['REQUEST_METHOD'] !== 'POST') {
  4826→                jsonError('POST required', 405);
  4827→            }
  4828→
  4829→            $logDir = dirname(__DIR__) . '/logs';
  4830→            if (!is_dir($logDir)) {
  4831→                mkdir($logDir, 0755, true);
  4832→            }
  4833→            $logFile = $logDir . '/ai_debug.log';
  4834→
  4835→            $logData = json_decode(file_get_contents('php://input'), true);
  4836→            if (!$logData) {
  4837→                jsonError('Invalid JSON data');
  4838→            }
  4839→
  4840→            $logEntry = [
  4841→                'timestamp' => date('Y-m-d H:i:s'),
  4842→                'type' => $logData['type'] ?? 'request',
  4843→                'thread_id' => $logData['thread_id'] ?? '',
  4844→                'agent' => $logData['agent'] ?? '',
  4845→                'providers' => $logData['providers'] ?? [],
  4846→                'models' => $logData['models'] ?? [],
  4847→                'content_length' => $logData['content_length'] ?? 0,
  4848→                'estimated_tokens' => $logData['estimated_tokens'] ?? 0,
  4849→                'question' => $logData['question'] ?? '',
  4850→                'context_threads' => $logData['context_threads'] ?? [],
  4851→                'response_preview' => isset($logData['response']) ? substr($logData['response'], 0, 500) : '',
  4852→                'full_content' => $logData['full_content'] ?? ''
  4853→            ];
  4854→
  4855→            file_put_contents($logFile, json_encode($logEntry) . "\n", FILE_APPEND | LOCK_EX);
  4856→
  4857→            jsonResponse(['success' => true, 'logged' => true]);
  4858→            break;
  4859→
  4860→        // ==========================================
  4861→        // Get AI Query Response (MongoDB)
  4862→        // ==========================================
  4863→        case 'get_ai_response':
  4864→            $id = $_GET['id'] ?? '';
  4865→            if (!$id) {
  4866→                jsonError('Response ID required');
  4867→            }
  4868→
  4869→            $mongo = \EmailIntelligence\MongoDatabase::getInstance();
  4870→            if (!$mongo->isAvailable()) {
  4871→                jsonError('MongoDB not available');
  4872→            }
  4873→
  4874→            try {
  4875→                $response = $mongo->findOne('ai_query_responses', [
  4876→                    '_id' => new \MongoDB\BSON\ObjectId($id)
  4877→                ]);
  4878→
  4879→                if (!$response) {
  4880→                    jsonError('Response not found', 404);
  4881→                }
  4882→
  4883→                jsonResponse([
  4884→                    'success' => true,
  4885→                    'response' => $response
  4886→                ]);
  4887→            } catch (Exception $e) {
  4888→                jsonError('Invalid response ID: ' . $e->getMessage());
  4889→            }
  4890→            break;
  4891→
  4892→        // ==========================================
  4893→        // List AI Query Responses (MongoDB)
  4894→        // ==========================================
  4895→        case 'list_ai_responses':
  4896→            $threadId = $_GET['thread_id'] ?? '';
  4897→            $contactId = isset($_GET['contact_id']) ? (int)$_GET['contact_id'] : null;
  4898→            $limit = min(50, max(1, (int)($_GET['limit'] ?? 20)));
  4899→            $offset = max(0, (int)($_GET['offset'] ?? 0));
  4900→
  4901→            $mongo = \EmailIntelligence\MongoDatabase::getInstance();
  4902→            if (!$mongo->isAvailable()) {
  4903→                jsonError('MongoDB not available');
  4904→            }
  4905→
  4906→            $filter = [];
  4907→            if ($threadId) {
  4908→                $threadId = resolveThreadId($threadId);
  4909→                $filter['thread_ids'] = $threadId;
  4910→            }
  4911→            if ($contactId) {
  4912→                $filter['contact_id'] = $contactId;
  4913→            }
  4914→
  4915→            $responses = $mongo->findAll('ai_query_responses', $filter, [
  4916→                'sort' => ['created_at' => -1],
  4917→                'limit' => $limit,
  4918→                'skip' => $offset
  4919→            ]);
  4920→
  4921→            // Get total count for pagination
  4922→            $total = $mongo->count('ai_query_responses', $filter);
  4923→
  4924→            jsonResponse([
  4925→                'success' => true,
  4926→                'responses' => $responses,
  4927→                'count' => count($responses),
  4928→                'total' => $total,
  4929→                'offset' => $offset,
  4930→                'limit' => $limit
  4931→            ]);
  4932→            break;
  4933→
  4934→
  4935→        // ==========================================
  4936→        // Load Deep Analysis responses for a thread
  4937→        // ==========================================
  4938→        case 'load_deep_analysis':
  4939→            $threadId = $_GET['thread_id'] ?? '';
  4940→            if (!$threadId) jsonError('thread_id required');
  4941→            $threadId = resolveThreadId($threadId);

Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.


Prompt:
I need to understand the current Deep Analysis implementation in thread_view.php. Find:

1. The DEEP_ANALYSIS_PASSES constant definition (exact line numbers and content)
2. The runDeepAnalysis() function (exact line numbers)
3. The Deep Analysis button HTML (exact line numbers)
4. The loadDeepAnalysis() function (exact line numbers)
5. The initPlaybookDropdown or similar initialization code if it exists
6. Where the deep analysis container HTML is defined

Search in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php

Also check /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php for:
1. The save_ai_response endpoint (line numbers where deep_analysis fields are handled)
2. The load_deep_analysis endpoint (line numbers)

Return exact line numbers for all findings.