Now let me verify the PHP syntax and check the file is well-formed.


TodoWrite

TASK 1: Hide AI Thread Analysis section (index.php + app.js)

TASK 2: Speed up main page - reduce thread/contact limits

TASK 3: Fix thread contact name bug in QueryAdapter.php

TASK 4F: Debug file logging endpoint in api.php

TASK 4A-E,G: Enhance thread_view.php (layout, agents, context, tokens, logging, memory)

Verify PHP syntax and test readiness


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

TASK 1: Hide AI Thread Analysis section (index.php + app.js)

TASK 2: Speed up main page - reduce thread/contact limits

TASK 3: Fix thread contact name bug in QueryAdapter.php

TASK 4F: Debug file logging endpoint in api.php

TASK 4A-E,G: Enhance thread_view.php (layout, agents, context, tokens, logging, memory)

Verify PHP syntax and test readiness

Verify PHP syntax and test readiness


Bash

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

Check PHP syntax of all modified files


No syntax errors detected in public/thread_view.php
No syntax errors detected in public/api.php
No syntax errors detected in src/QueryAdapter.php
Shell cwd was reset to /var/www/mssql.danmarcrm.com/dev1/extension2


All PHP syntax checks pass. Let me also verify the thread_view.php file is complete and the HTML/JS is well-structured by checking the end of the file.


Count lines in thread_view.php


2765 /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php


  2690→                        if (isDefaultQuestion && hasContext) {
  2691→                            displayQuestion = '[Context] ' + saved.context;
  2692→                        } else if (hasContext) {
  2693→                            displayQuestion = displayQuestion + ' (+context)';
  2694→                        }
  2695→
  2696→                        // Truncate to 200 chars
  2697→                        if (displayQuestion.length > 200) {
  2698→                            displayQuestion = displayQuestion.substring(0, 200) + '...';
  2699→                        }
  2700→
  2701→                        // Get response excerpt
  2702→                        const responseText = saved.response?.response || '';
  2703→                        let responseExcerpt = responseText.length > 120
  2704→                            ? responseText.substring(0, 120) + '...'
  2705→                            : responseText;
  2706→
  2707→                        const responseEl = document.createElement('div');
  2708→                        responseEl.className = 'saved-response';
  2709→                        responseEl.id = 'saved-response-' + saved._id;

                        if (isDefaultQuestion && hasContext) {
                            displayQuestion = '[Context] ' + saved.context;
                        } else if (hasContext) {
                            displayQuestion = displayQuestion + ' (+context)';
                        }

                        // Truncate to 200 chars
                        if (displayQuestion.length > 200) {
                            displayQuestion = displayQuestion.substring(0, 200) + '...';
                        }

                        // Get response excerpt
                        const responseText = saved.response?.response || '';
                        let responseExcerpt = responseText.length > 120
                            ? responseText.substring(0, 120) + '...'
                            : responseText;

                        const responseEl = document.createElement('div');
                        responseEl.className = 'saved-response';
                        responseEl.id = 'saved-response-' + saved._id;


2755→
  2756→        // Escape HTML
  2757→        function escapeHtml(text) {
  2758→            if (!text) return '';
  2759→            const div = document.createElement('div');
  2760→            div.textContent = text;
  2761→            return div.innerHTML;
  2762→        }
  2763→    </script>
  2764→
  2765→
  2766→

        // Escape HTML
        function escapeHtml(text) {
            if (!text) return '';
            const div = document.createElement('div');
            div.textContent = text;
            return div.innerHTML;
        }
    </script>
</body>
</html>


File ends properly with `</script></body></html>`. Let me also verify the index.php is still good.


Check PHP syntax of index.php


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


All files pass syntax checks. Let me verify the logs directory exists.


ls -la /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ 2>/dev/null || echo "logs dir does not exist yet - will be created on first log write"

Check if logs directory exists


total 4200
drwxrwxrwx  4 root     root        4096 Feb  6 11:12 .
drwxrwxrwx 20 root     root        4096 Feb 20 18:40 ..
drwxrwxrwx  2 www-data www-data    4096 Dec 25 20:19 ai
drwxrwxrwx 12 www-data www-data    4096 Jan  9 12:57 ai_analysis
-rw-r--r--  1 www-data www-data     635 Feb  7 07:46 analyzer.log
-rw-r--r--  1 www-data www-data    2324 Feb  7 07:46 cron.log
-rwxrwxrwx  1 www-data www-data    8193 Feb  7 11:14 database.log
-rwxrwxrwx  1 www-data www-data  881515 Jan  9 12:57 __ddbgA.log
-rwxrwxrwx  1 www-data www-data    5513 Feb  8 03:45 exceptions.log
-rwxrwxrwx  1 root     root        3195 Feb  6 15:35 fatal_errors.log
-rwxrwxrwx  1 www-data www-data    4364 Feb 20 19:16 gmail.log
-rwxrwxrwx  1 root     root     1066734 Feb 20 20:38 mongodb.log
-rwxrwxrwx  1 www-data www-data    1224 Feb 20 19:55 pattern_stats_cache.json
-rwxrwxrwx  1 www-data www-data       0 Jan  1 17:09 __php_error.log
-rwxrwxrwx  1 www-data www-data 1022878 Feb 20 19:55 php_errors.log
-rw-r--r--  1 www-data www-data     140 Feb  7 07:46 profiler.log
-rwxrwxrwx  1 www-data www-data 1214821 Feb 17 20:10 prompt.log
-rw-r--r--  1 www-data www-data   12817 Feb  7 11:14 sync.log
-rwxrwxrwx  1 www-data www-data    4442 Feb 17 20:13 thread_analyzer.log


Good, the logs directory exists and is writable. The `ai_debug.log` file will be created on the first write.


TodoWrite

TASK 1: Hide AI Thread Analysis section (index.php + app.js)

TASK 2: Speed up main page - reduce thread/contact limits

TASK 3: Fix thread contact name bug in QueryAdapter.php

TASK 4F: Debug file logging endpoint in api.php

TASK 4A-E,G: Enhance thread_view.php (layout, agents, context, tokens, logging, memory)

Verify PHP syntax and test readiness


Verify PHP syntax and test readiness

Verify PHP syntax and test readiness


All tasks complete. Let me update the memory file with what was done.


     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:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
     9→- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
    10→- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`
    11→- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionTill20251221/`
    12→- **Chrome ext (Mac copy):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/`
    13→- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
    14→- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
    15→- **Config:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`
    16→
    17→## Live URLs
    18→- https://mssql.danmarcrm.com/dev1/extension2/
    19→- https://mssql.danmarcrm.com/dev1/extension2/public/
    20→
    21→## Tech Stack
    22→- Backend: PHP, DBs: MongoDB (primary) + SQL (legacy, mostly empty)
    23→- AI: Multi-provider via `aiapi/api_codex51` proxy
    24→- Chrome Extension: Manifest V3, targets mail.google.com
    25→
    26→## Key Architecture Patterns
    27→- `MongoDatabase::insertOrUpdate()` for upserts (NOT `upsert()`)
    28→- `ThreadAnalyzer::stripQuotedContent()` – public static, strips quoted email replies
    29→- AI proxy at `aiapi/api_codex51/api/index.php` – models keyed by provider: `[$provider => $model]`
    30→- `QueryAdapter` handles MySQL/MongoDB routing — always use it (NOT raw `$db` SQL)
    31→- Node.js on server is v10.19 — don't use for JS syntax checks
    32→
    33→## Bug to Remember
    34→- `contacts` API endpoint was using raw SQL (`$db->fetchAll`) — returned empty because data is in MongoDB. Fixed 2026-02-20 to use `QueryAdapter::getContactsWithProfiles()`.
    35→- AI proxy model override was `[$chatModel]` (ignored) — fixed to `[$chatProvider => $chatModel]`
    36→
    37→---
    38→
    39→## 2026-02-20: AI Chat Enhancement — Full Implementation
    40→
    41→### What was built
    42→Replaced the simple single-thread AI chat with a full-featured system:
    43→
    44→**Multi-thread context builder** (search + add threads as AI context)
    45→- Unified search finds both CONTACTS and THREADS in parallel
    46→- Click contact → see all threads → "Add All" or pick individual ones
    47→- Click thread → "+ Add" directly from search results
    48→- Green context summary: "3 threads, ~15 emails from Stephanie"
    49→- Wildcards `*` `%` stripped automatically (search is already partial-match)
    50→
    51→**5 AI agents** (specialized system prompts + preferred models)
    52→- General, Quote Analyst, Deception Detector, Contact Profiler, Email Composer
    53→- Agents with `autoMemory: true` auto-extract facts via `[MEMORY]...[/MEMORY]` tags
    54→- Agent presets defined in both `api.php` (PHP array) and `app.js` (JS object)
    55→
    56→**8 AI providers** (synced with Chrome extension `contentScript.js` lines 18-67)
    57→- Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere
    58→- Dynamic provider→model dropdown (JS `AI_PROVIDER_MODELS` constant)
    59→
    60→**Chat session persistence** (MongoDB `ai_chat_sessions`)
    61→- Auto-saved after each AI response
    62→- "History" button loads session list, click to restore full conversation
    63→- "New Chat" resets everything
    64→- Session stores: messages, agent, provider, model, context thread IDs, contact
    65→
    66→**Contact memory** (MongoDB `ai_contact_memory`)
    67→- Auto-extracted by AI agents with `autoMemory: true`
    68→- Manually addable via "+ Add" button
    69→- Shown as pills in context builder when contact selected
    70→- Injected into system prompt as "KNOWN FACTS ABOUT THIS CONTACT"
    71→
    72→**Token budget management**
    73→- Model context limits map (128K–1M depending on model)
    74→- 60% budget for context, 40% reserved for response + history
    75→- `stripQuotedContent()` removes duplicate quoted replies (60-80% reduction)
    76→- If over budget: truncates oldest content, returns `context_stats.truncated`
    77→
    78→### Files modified
    79→- `src/ThreadAnalyzer.php` — `stripQuotedContent()` → public static
    80→- `public/api.php` — rewrote `ai_chat` action + 6 new endpoints
    81→- `public/assets/app.js` — provider/model/agent selectors, context builder, sessions, memory
    82→- `public/index.php` — new HTML for agent buttons, context builder, session overlay
    83→
    84→### New API endpoints
    85→- `ai_chat_sessions` (GET) — list recent sessions
    86→- `ai_chat_session` (GET) — load specific session
    87→- `ai_chat_session_delete` (POST) — delete session
    88→- `ai_contact_memories` (GET) — get contact memories
    89→- `ai_contact_memory_add` (POST) — add manual memory
    90→- `ai_contact_memory_delete` (POST) — delete memory
    91→
    92→### `ai_chat` payload now accepts
    93→`thread_ids[]`, `provider`, `agent`, `session_id` (in addition to existing fields)
    94→

# Email Intelligence System – Project Memory

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

## Key Paths
- **Server root:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`
- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionTill20251221/`
- **Chrome ext (Mac copy):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/`
- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
- **Config:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`

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

## Tech Stack
- Backend: PHP, DBs: MongoDB (primary) + SQL (legacy, mostly empty)
- AI: Multi-provider via `aiapi/api_codex51` proxy
- 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 at `aiapi/api_codex51/api/index.php` – models keyed by provider: `[$provider => $model]`
- `QueryAdapter` handles MySQL/MongoDB routing — always use it (NOT raw `$db` SQL)
- Node.js on server is v10.19 — don't use for JS syntax checks

## Bug to Remember
- `contacts` API endpoint was using raw SQL (`$db->fetchAll`) — returned empty because data is in MongoDB. Fixed 2026-02-20 to use `QueryAdapter::getContactsWithProfiles()`.
- AI proxy model override was `[$chatModel]` (ignored) — fixed to `[$chatProvider => $chatModel]`

---

## 2026-02-20: AI Chat Enhancement — Full Implementation

### What was built
Replaced the simple single-thread AI chat with a full-featured system:

**Multi-thread context builder** (search + add threads as AI context)
- Unified search finds both CONTACTS and THREADS in parallel
- Click contact → see all threads → "Add All" or pick individual ones
- Click thread → "+ Add" directly from search results
- Green context summary: "3 threads, ~15 emails from Stephanie"
- Wildcards `*` `%` stripped automatically (search is already partial-match)

**5 AI agents** (specialized system prompts + preferred models)
- General, Quote Analyst, Deception Detector, Contact Profiler, Email Composer
- Agents with `autoMemory: true` auto-extract facts via `[MEMORY]...[/MEMORY]` tags
- Agent presets defined in both `api.php` (PHP array) and `app.js` (JS object)

**8 AI providers** (synced with Chrome extension `contentScript.js` lines 18-67)
- Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere
- Dynamic provider→model dropdown (JS `AI_PROVIDER_MODELS` constant)

**Chat session persistence** (MongoDB `ai_chat_sessions`)
- Auto-saved after each AI response
- "History" button loads session list, click to restore full conversation
- "New Chat" resets everything
- Session stores: messages, agent, provider, model, context thread IDs, contact

**Contact memory** (MongoDB `ai_contact_memory`)
- Auto-extracted by AI agents with `autoMemory: true`
- Manually addable via "+ Add" button
- Shown as pills in context builder when contact selected
- Injected into system prompt as "KNOWN FACTS ABOUT THIS CONTACT"

**Token budget management**
- Model context limits map (128K–1M depending on model)
- 60% budget for context, 40% reserved for response + history
- `stripQuotedContent()` removes duplicate quoted replies (60-80% reduction)
- If over budget: truncates oldest content, returns `context_stats.truncated`

### Files modified
- `src/ThreadAnalyzer.php` — `stripQuotedContent()` → public static
- `public/api.php` — rewrote `ai_chat` action + 6 new endpoints
- `public/assets/app.js` — provider/model/agent selectors, context builder, sessions, memory
- `public/index.php` — new HTML for agent buttons, context builder, session overlay

### New API endpoints
- `ai_chat_sessions` (GET) — list recent sessions
- `ai_chat_session` (GET) — load specific session
- `ai_chat_session_delete` (POST) — delete session
- `ai_contact_memories` (GET) — get contact memories
- `ai_contact_memory_add` (POST) — add manual memory
- `ai_contact_memory_delete` (POST) — delete memory

### `ai_chat` payload now accepts
`thread_ids[]`, `provider`, `agent`, `session_id` (in addition to existing fields)


Write

# 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


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

# 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

-- **Server root:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`

-- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`

-- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`

-- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionTill20251221/`

-- **Chrome ext (Mac copy):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/`

+- **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

-- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`

+- **AI APIs:** `aiapi/` — two proxies: `api_codex51` (single), `api_opus` (multi-provider)

-- AI: Multi-provider via `aiapi/api_codex51` proxy

+- AI: Multi-provider via `aiapi/api_codex51` (single) and `aiapi/api_opus` (multi-provider)

- Chrome Extension: Manifest V3, targets mail.google.com

-- AI proxy at `aiapi/api_codex51/api/index.php` – models keyed by provider: `[$provider => $model]`

+- AI proxy models keyed by provider: `[$provider => $model]` (NOT `[$model]`)

- 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

-- `contacts` API endpoint was using raw SQL (`$db->fetchAll`) — returned empty because data is in MongoDB. Fixed 2026-02-20 to use `QueryAdapter::getContactsWithProfiles()`.

-- AI proxy model override was `[$chatModel]` (ignored) — fixed to `[$chatProvider => $chatModel]`

+- `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

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

-Replaced the simple single-thread AI chat with a full-featured system:

+### 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`

-**Multi-thread context builder** (search + add threads as AI context)

-- Unified search finds both CONTACTS and THREADS in parallel

-- Click contact → see all threads → "Add All" or pick individual ones

-- Click thread → "+ Add" directly from search results

-- Green context summary: "3 threads, ~15 emails from Stephanie"

-- Wildcards `*` `%` stripped automatically (search is already partial-match)

+### 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

-**5 AI agents** (specialized system prompts + preferred models)

-- General, Quote Analyst, Deception Detector, Contact Profiler, Email Composer

-- Agents with `autoMemory: true` auto-extract facts via `[MEMORY]...[/MEMORY]` tags

-- Agent presets defined in both `api.php` (PHP array) and `app.js` (JS object)

+### 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

-**8 AI providers** (synced with Chrome extension `contentScript.js` lines 18-67)

-- Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere

-- Dynamic provider→model dropdown (JS `AI_PROVIDER_MODELS` constant)

-**Chat session persistence** (MongoDB `ai_chat_sessions`)

-- "History" button loads session list, click to restore full conversation

-- Session stores: messages, agent, provider, model, context thread IDs, contact

-**Contact memory** (MongoDB `ai_contact_memory`)

-- Auto-extracted by AI agents with `autoMemory: true`

-- Shown as pills in context builder when contact selected

-- Injected into system prompt as "KNOWN FACTS ABOUT THIS CONTACT"

-- Model context limits map (128K–1M depending on model)

-- 60% budget for context, 40% reserved for response + history

-- `stripQuotedContent()` removes duplicate quoted replies (60-80% reduction)

-- If over budget: truncates oldest content, returns `context_stats.truncated`

-- `src/ThreadAnalyzer.php` — `stripQuotedContent()` → public static

-- `public/api.php` — rewrote `ai_chat` action + 6 new endpoints

-- `public/assets/app.js` — provider/model/agent selectors, context builder, sessions, memory

-- `public/index.php` — new HTML for agent buttons, context builder, session overlay

-- `ai_chat_sessions` (GET) — list recent sessions

-- `ai_chat_session` (GET) — load specific session

-- `ai_chat_session_delete` (POST) — delete session

-- `ai_contact_memories` (GET) — get contact memories

-- `ai_contact_memory_add` (POST) — add manual memory

-- `ai_contact_memory_delete` (POST) — delete memory

-`thread_ids[]`, `provider`, `agent`, `session_id` (in addition to existing fields)

+- `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

# Email Intelligence System – Project Memory

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

## Key Paths
- **Server root:** `/var/www/mssql.danmarcrm.com/dev1/extension2/`
- **Web app:** `/var/www/mssql.danmarcrm.com/dev1/extension2/public/`
- **PHP classes:** `/var/www/mssql.danmarcrm.com/dev1/extension2/src/`
- **Chrome ext (server, older):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionTill20251221/`
- **Chrome ext (Mac copy):** `/var/www/mssql.danmarcrm.com/dev1/extension2/chrome-extensionCopyMac20260220/`
- **Chrome ext (local Mac, active):** `/Users/dan/Documents/extension2/extension2v1/chrome-extension`
- **AI APIs:** `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
- **Config:** `/var/www/mssql.danmarcrm.com/dev1/extension2/config/`

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

## Tech Stack
- Backend: PHP, DBs: MongoDB (primary) + SQL (legacy, mostly empty)
- AI: Multi-provider via `aiapi/api_codex51` proxy
- 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 at `aiapi/api_codex51/api/index.php` – models keyed by provider: `[$provider => $model]`
- `QueryAdapter` handles MySQL/MongoDB routing — always use it (NOT raw `$db` SQL)
- Node.js on server is v10.19 — don't use for JS syntax checks

## Bug to Remember
- `contacts` API endpoint was using raw SQL (`$db->fetchAll`) — returned empty because data is in MongoDB. Fixed 2026-02-20 to use `QueryAdapter::getContactsWithProfiles()`.
- AI proxy model override was `[$chatModel]` (ignored) — fixed to `[$chatProvider => $chatModel]`

---

## 2026-02-20: AI Chat Enhancement — Full Implementation

### What was built
Replaced the simple single-thread AI chat with a full-featured system:

**Multi-thread context builder** (search + add threads as AI context)
- Unified search finds both CONTACTS and THREADS in parallel
- Click contact → see all threads → "Add All" or pick individual ones
- Click thread → "+ Add" directly from search results
- Green context summary: "3 threads, ~15 emails from Stephanie"
- Wildcards `*` `%` stripped automatically (search is already partial-match)

**5 AI agents** (specialized system prompts + preferred models)
- General, Quote Analyst, Deception Detector, Contact Profiler, Email Composer
- Agents with `autoMemory: true` auto-extract facts via `[MEMORY]...[/MEMORY]` tags
- Agent presets defined in both `api.php` (PHP array) and `app.js` (JS object)

**8 AI providers** (synced with Chrome extension `contentScript.js` lines 18-67)
- Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, Mistral, Cohere
- Dynamic provider→model dropdown (JS `AI_PROVIDER_MODELS` constant)

**Chat session persistence** (MongoDB `ai_chat_sessions`)
- Auto-saved after each AI response
- "History" button loads session list, click to restore full conversation
- "New Chat" resets everything
- Session stores: messages, agent, provider, model, context thread IDs, contact

**Contact memory** (MongoDB `ai_contact_memory`)
- Auto-extracted by AI agents with `autoMemory: true`
- Manually addable via "+ Add" button
- Shown as pills in context builder when contact selected
- Injected into system prompt as "KNOWN FACTS ABOUT THIS CONTACT"

**Token budget management**
- Model context limits map (128K–1M depending on model)
- 60% budget for context, 40% reserved for response + history
- `stripQuotedContent()` removes duplicate quoted replies (60-80% reduction)
- If over budget: truncates oldest content, returns `context_stats.truncated`

### Files modified
- `src/ThreadAnalyzer.php` — `stripQuotedContent()` → public static
- `public/api.php` — rewrote `ai_chat` action + 6 new endpoints
- `public/assets/app.js` — provider/model/agent selectors, context builder, sessions, memory
- `public/index.php` — new HTML for agent buttons, context builder, session overlay

### New API endpoints
- `ai_chat_sessions` (GET) — list recent sessions
- `ai_chat_session` (GET) — load specific session
- `ai_chat_session_delete` (POST) — delete session
- `ai_contact_memories` (GET) — get contact memories
- `ai_contact_memory_add` (POST) — add manual memory
- `ai_contact_memory_delete` (POST) — delete memory

### `ai_chat` payload now accepts
`thread_ids[]`, `provider`, `agent`, `session_id` (in addition to existing fields)


All 4 tasks are complete. Here's a summary of everything implemented:

**TASK 1: Hidden AI Thread Analysis section**
- [index.php:136](public/index.php#L136) — added `display:none` to the analysis section
- [app.js:1589-1592](public/assets/app.js#L1589) — commented out `refreshAnalysisStatus()` and its 30-second interval

**TASK 2: Faster main page loading**
- [app.js:176](public/assets/app.js#L176) — contacts limit `20` → `10`
- [app.js:650](public/assets/app.js#L650) — threads limit `20` → `10`

**TASK 3: Fixed thread contact name bug**
- [QueryAdapter.php:569-650](src/QueryAdapter.php#L569) — MongoDB: replaced `$max` with `$push` to collect all contacts, then post-processes to find most frequent inbound external sender (excluding user's own email)
- [QueryAdapter.php:514-567](src/QueryAdapter.php#L514) — SQL: replaced `MAX(e.contact_id)` with subquery finding most frequent inbound sender

**TASK 4: Enhanced thread_view.php (730+ lines of new code)**
- **4A** Full-width layout (100% instead of 1600px, wider AI panel 500px)
- **4B** 5 AI agent buttons (General, Quotes, Deception, Profiler, Composer) with quick prompts per agent
- **4C** Context builder: search contacts/threads via API, add any thread from any contact, green cart summary
- **4D** Token estimation with model limits map, real-time warnings
- **4E** Agent system prompt injection prepended to AI content
- **4F** Debug file logging to `logs/ai_debug.log` via new `log_ai_debug` API endpoint — logs full request + response
- **4G** Contact memory injection from `ai_contact_memory` collection, shown as pills

All PHP syntax checks pass. The existing multi-provider simultaneous sending, conversation history, and saved responses are preserved.


<ide_opened_file>The user opened the file /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/QueryAdapter.php in the IDE. This may or may not be related to the current task.</ide_opened_file>

pls check the logs, I send about 20 email thread.. and in interface got only one show as over 200000 tokens, though it said before it is ok. No error or nothing shows up in the interface after refresh though I sent to 4 AI models


The user is saying they sent a request from the thread_view.php interface with about 20 email threads selected, to 4 AI models simultaneously. The interface showed over 200,000 tokens but had said it was OK before sending. After the request, nothing showed up - no error, no response. Let me check the debug log file first, then look at the AI proxy logs.


Let me check the debug logs and other relevant logs.


Bash

ls -la /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ai_debug.log 2>/dev/null && wc -l /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ai_debug.log || echo "ai_debug.log does not exist"

Check if debug log exists


-rw-r--r-- 1 www-data www-data 1546131 Feb 20 21:09 /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ai_debug.log
2 /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ai_debug.log


ls -lt /var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ | head -10

List recent log files


total 5720
-rwxrwxrwx  1 root     root     1071675 Feb 20 21:38 mongodb.log
-rw-r--r--  1 www-data www-data 1546131 Feb 20 21:09 ai_debug.log
-rwxrwxrwx  1 root     root        3391 Feb 20 21:09 fatal_errors.log
-rwxrwxrwx  1 www-data www-data     196 Feb 20 21:09 __php_error.log
-rwxrwxrwx  1 www-data www-data 1024705 Feb 20 21:09 php_errors.log
-rwxrwxrwx  1 www-data www-data    4448 Feb 20 20:41 gmail.log
-rwxrwxrwx  1 www-data www-data    1224 Feb 20 19:55 pattern_stats_cache.json
-rwxrwxrwx  1 www-data www-data    4442 Feb 17 20:13 thread_analyzer.log
-rwxrwxrwx  1 www-data www-data 1214821 Feb 17 20:10 prompt.log


Good, the debug log exists with 2 entries (request + response). There are also fatal errors. Let me check all of them.


python3 -c "
import json
with open('/var/www/mssql.danmarcrm.com/dev1/extension2v1/logs/ai_debug.log') as f:
    for line in f:
        d = json.loads(line)
        # Print everything except full_content (too large)
        summary = {k: v for k, v in d.items() if k != 'full_content'}
        summary['full_content_length'] = len(d.get('full_content', ''))
        print(json.dumps(summary, indent=2))
        print('---')
"

Parse debug log entries without the huge full_content


{
  "timestamp": "2026-02-20 23:09:17",
  "type": "request",
  "thread_id": "19ae5c0cb75e381c",
  "agent": "email_composer",
  "providers": [
    "claude",
    "openai",
    "mistral",
    "cohere"
  ],
  "models": {
    "claude": "claude-sonnet-4-5-20250929",
    "openai": "gpt-5.2",
    "mistral": "mistral-large-latest",
    "cohere": "command-a-03-2025"
  },
  "content_length": 1469992,
  "estimated_tokens": 419998,
  "question": "How much deception we have from all participants but specially from David Z? Is he incompetent, has bad intentions or other? Pls exctract the same for all other parties. Please reveal any other behaviour you notice.",
  "context_threads": [
    "196f2e638f53c3e6",
    "19506badd19a6abb",
    "197d0e9296980253",
    "196f2e6383053852",
    "195446193bdd66f5",
    "19506bada7735a71",
    "18fe953e44a04cb1",
    "187fd2021daa36bf",
    "1931adbe06a20786",
    "18d220b674fdbcbf",
    "1929c1da74fae012",
    "18f7c0ed104d036f",
    "18f7d1819b17403d",
    "18f2faa514a35834",
    "18f0633b4eb1afa9",
    "18ef15c3e7286f55",
    "18eecbbd2deb902b",
    "18ef0877ad3ce161",
    "18de73e1494697fb",
    "18ec9ea23c3b7c99"
  ],
  "response_preview": "",
  "full_content_length": 1469991
}
---
{
  "timestamp": "2026-02-20 23:09:21",
  "type": "response",
  "thread_id": "19ae5c0cb75e381c",
  "agent": "email_composer",
  "providers": [
    "claude",
    "openai",
    "mistral",
    "cohere"
  ],
  "models": {
    "claude": "claude-sonnet-4-5-20250929",
    "openai": "gpt-5.2",
    "mistral": "mistral-large-latest",
    "cohere": "command-a-03-2025"
  },
  "content_length": 0,
  "estimated_tokens": 419998,
  "question": "How much deception we have from all participants but specially from David Z? Is he incompetent, has bad intentions or other? Pls exctract the same for all other parties. Please reveal any other behaviour you notice.",
  "context_threads": [],
  "response_preview": "",
  "full_content_length": 0
}
---


Check fatal errors log


[2025-12-30 23:56:15] FATAL ERROR: Uncaught Error: Class 'EmailIntelligence\MongoDatabase' not found in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php:97
Stack trace:
#0 /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php(118): EmailIntelligence\Database->__construct()
#1 Command line code(4): EmailIntelligence\Database::getInstance()
#2 {main}
  thrown in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php on line 97
[2025-12-30 23:56:23] FATAL ERROR: Uncaught Error: Class 'EmailIntelligence\MongoDatabase' not found in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php:97
Stack trace:
#0 /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php(118): EmailIntelligence\Database->__construct()
#1 Command line code(4): EmailIntelligence\Database::getInstance()
#2 {main}
  thrown in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php on line 97
[2025-12-30 23:56:30] FATAL ERROR: Uncaught Error: Class 'EmailIntelligence\MongoDatabase' not found in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php:97
Stack trace:
#0 /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php(118): EmailIntelligence\Database->__construct()
#1 Command line code(4): EmailIntelligence\Database::getInstance()
#2 {main}
  thrown in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/Database.php on line 97
[2026-01-07 21:25:42] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 40960 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 352
[2026-01-08 00:48:22] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 618496 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 352
[2026-01-08 14:14:35] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 618496 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 358
[2026-02-02 07:20:35] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 544768 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-02 09:05:29] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 36864 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-03 17:10:36] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 106496 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-03 21:52:49] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 12288 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-05 09:34:28] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 544768 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-06 17:35:21] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 610304 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/src/MongoDatabase.php on line 361
[2026-02-20 23:09:15] FATAL ERROR: Allowed memory size of 134217728 bytes exhausted (tried to allocate 33116160 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php on line 183


Check PHP errors log


[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 21:55:20 Europe/Bucharest] Vector search failed: cURL error 7: Failed to connect to 127.0.0.1 port 5051: Connection refused (see https://curl.haxx.se/libcurl/c/libcurl-errors.html) for http://127.0.0.1:5051/search
[20-Feb-2026 23:09:15 Europe/Bucharest] PHP Fatal error:  Allowed memory size of 134217728 bytes exhausted (tried to allocate 33116160 bytes) in /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php on line 183
[20-Feb-2026 23:09:15 Europe/Bucharest] PHP Stack trace:
[20-Feb-2026 23:09:15 Europe/Bucharest] PHP   1. {main}() /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php:0
[20-Feb-2026 23:09:15 Europe/Bucharest] PHP   2. jsonResponse($data = ['thread_id' => '18de73e1494697fb', 'emails' => [0 => [...], 1 => [...], 2 => [...], 3 => [...], 4 => [...], 5 => [...], 6 => [...], 7 => [...], 8 => [...], 9 => [...], 10 => [...], 11 => [...], 12 => [...], 13 => [...], 14 => [...], 15 => [...], 16 => [...], 17 => [...], 18 => [...], 19 => [...], 20 => [...], 21 => [...], 22 => [...], 23 => [...], 24 => [...], 25 => [...], 26 => [...], 27 => [...], 28 => [...], 29 => [...], 30 => [...], 31 => [...], 32 => [...], 33 => [...], 34 => [...], 35 => [...], 36 => [...], 37 => [...], 38 => [...], 39 => [...], 40 => [...], 41 => [...], 42 => [...], 43 => [...], 44 => [...], 45 => [...], 46 => [...], 47 => [...], 48 => [...], 49 => [...], 50 => [...], 51 => [...], 52 => [...], 53 => [...], 54 => [...], 55 => [...], 56 => [...]], 'email_count' => 57, 'analysis' => ['summary' => NULL, 'trust_score' => 0.5, 'deception_score' => 0.1, 'risk_level' => 'unknown', 'key_points' => [...], 'warnings' => [...], 'participants_analysis' => [...], 'sentiment' => NULL, 'negotiation' => [...], 'action_items' => [...], 'recommendations' => NULL, 'reply_suggestions' => [...], 'business_opportunities' => NULL, 'protective_analysis' => NULL, 'raw' => [...]], 'status' => ['is_analyzed' => FALSE, 'needs_reanalysis' => FALSE]], $status = *uninitialized*) /var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php:462


Now I can see the problems clearly:

1. **Memory exhaustion**: `PHP Fatal error: Allowed memory size of 134217728 bytes exhausted (tried to allocate 33116160 bytes) in api.php on line 183` — this happened when fetching one of the additional threads (thread `18de73e1494697fb` which had 57 emails). The `jsonResponse()` on the thread action tried to send all that data as JSON and ran out of PHP's 128MB memory limit.

2. **Content is 1.47MB / ~420K tokens**: The request had `content_length: 1469992` and `estimated_tokens: 419998`.

3. **Token estimation was wildly off**: My pre-estimation function only did a rough calculation based on current email content plus a fixed 2000 tokens per thread, so it showed "OK" in the interface even though fetching all 20 threads ballooned the actual content way beyond any model's limits (Claude Sonnet maxes at 200K, Mistral at 128K).

4. **The response is missing**: The response log shows empty content and zero length, meaning the API call either failed, errored out, or the logging captured nothing before the request completed.

When I trace through what likely happened: one of the 20 thread fetches—specifically thread `18de73e1494697fb` with 57 emails—hit a PHP memory limit while trying to encode the response, causing that fetch to fail and triggering the catch block in the submit function. The user should've seen an error alert, but they're saying nothing appeared, which suggests either the alert didn't fire or got suppressed somehow.

Looking at the root causes: the token pre-estimate is way too optimistic at 2000 chars per thread when a 57-email thread could easily exceed 50K characters. The real problem is that the thread endpoint returns everything—full email bodies, analysis, metadata—which balloons the response size. I need to either strip down what gets returned from that endpoint, bump up the PHP memory limit for thread fetches, or better yet, only return truncated email bodies when threads are being pulled for AI context. And the error handling in the catch block isn't surfacing the problem clearly to the user.

I also need to enforce the actual token budget—right now we could send 420K tokens to a model with a 128K limit and just waste money. The fix is to handle this on the JavaScript side: when loading additional threads for context, extract just the body text, apply the quoted content stripper, then truncate aggressively to stay within budget.

For error handling, I should make the thread fetch more resilient so a single crashed thread doesn't break the whole operation. And on the server side, I can add truncation logic in the thread action to prevent huge responses from being sent in the first place.

Let me start by examining the thread action in api.php to see where I can add that server-side truncation.


Found the problems. Here's what happened:

1. **PHP memory exhaustion** — Thread `18de73e1494697fb` has **57 emails**. When fetching it via `api.php?action=thread`, `jsonResponse()` tried to encode all that data and crashed with `Allowed memory size of 134217728 bytes exhausted` (128MB limit)
2. **Content was 1.47MB / ~420K tokens** — Way over every model's limit (Claude 200K, Mistral 128K, etc.)
3. **Token estimate was wrong** — The pre-estimate used a rough `contextThreads.length * 2000` (i.e., ~40K for 20 threads) but the real content was 420K tokens
4. **No error shown** — The PHP fatal error returned an HTTP 500 with no JSON body, causing `response.json()` to throw, but the catch block probably showed a brief alert that got missed

Let me check the thread action in api.php and fix all these issues.


389:        case 'thread':

389:        case 'thread':


   389→        case 'thread':
   390→            $threadId = $_GET['thread_id'] ?? '';
   391→            if (!$threadId) jsonError('Thread ID required');
   392→
   393→            // Auto-resolve long URL thread ID to short hex ID from cache
   394→            $threadId = resolveThreadId($threadId);
   395→
   396→            // Use QueryAdapter for automatic MySQL/MongoDB routing
   397→            $adapter = QueryAdapter::getInstance();
   398→            $threadData = $adapter->getThreadDetails($threadId);
   399→
   400→            if (empty($threadData['emails'])) {
   401→                jsonError('Thread not found', 404);
   402→            }
   403→
   404→            $emails = $threadData['emails'];
   405→            $analysis = $threadData['analysis'];
   406→
   407→            // Parse JSON fields in analysis (for MySQL string storage)
   408→            if ($analysis && isset($analysis['raw_analysis']) && is_string($analysis['raw_analysis'])) {
   409→                // Strip markdown code block markers if present (```json ... ```)
   410→                $rawStr = trim($analysis['raw_analysis']);
   411→                if (preg_match('/^```(?:json)?\s*([\s\S]*?)\s*```$/s', $rawStr, $matches)) {
   412→                    $rawStr = $matches[1];
   413→                }
   414→                $analysis['raw_analysis'] = json_decode($rawStr, true);
   415→            }
   416→            if ($analysis && isset($analysis['key_points']) && is_string($analysis['key_points'])) {
   417→                $analysis['key_points'] = json_decode($analysis['key_points'], true);
   418→            }
   419→
   420→            // Ensure raw_analysis is an array for safe access
   421→            if ($analysis && !isset($analysis['raw_analysis'])) {
   422→                $analysis['raw_analysis'] = [];
   423→            }
   424→
   425→            // Extract participants_analysis from raw_analysis for easier access
   426→            $participantsAnalysis = [];
   427→            if ($analysis && isset($analysis['raw_analysis']['participants_analysis'])) {
   428→                $participantsAnalysis = $analysis['raw_analysis']['participants_analysis'];
   429→            }
   430→
   431→            // Build response with extracted analysis fields
   432→            $rawAnalysis = $analysis['raw_analysis'] ?? [];
   433→
   434→            $response = [
   435→                'thread_id' => $threadId,
   436→                'emails' => $emails,
   437→                'email_count' => count($emails),
   438→                'analysis' => $analysis ? [
   439→                    'summary' => $analysis['summary'] ?? $rawAnalysis['thread_summary'] ?? null,
   440→                    'trust_score' => $rawAnalysis['deception_indicators']['trust_score'] ?? 0.5,
   441→                    'deception_score' => $analysis['deception_score'] ?? $rawAnalysis['deception_indicators']['deception_score'] ?? 0,
   442→                    'risk_level' => $rawAnalysis['recommendations']['overall_risk_level'] ?? 'unknown',
   443→                    'key_points' => $analysis['key_points'] ?? $rawAnalysis['key_points'] ?? [],
   444→                    'warnings' => $rawAnalysis['deception_indicators']['red_flags'] ?? [],
   445→                    'participants_analysis' => $participantsAnalysis,
   446→                    'sentiment' => $rawAnalysis['sentiment_analysis'] ?? null,
   447→                    'negotiation' => $rawAnalysis['negotiation_analysis'] ?? null,
   448→                    'action_items' => $rawAnalysis['action_items'] ?? [],
   449→                    'recommendations' => $rawAnalysis['recommendations'] ?? null,
   450→                    // New fields for unified AI response
   451→                    'reply_suggestions' => $rawAnalysis['reply_suggestions'] ?? [],
   452→                    'business_opportunities' => $rawAnalysis['business_opportunities'] ?? null,
   453→                    'protective_analysis' => $rawAnalysis['protective_analysis'] ?? null,
   454→                    'raw' => $rawAnalysis
   455→                ] : null,
   456→                'status' => [
   457→                    'is_analyzed' => $analysis ? (($analysis['is_analyzed'] ?? 0) == 1) : false,
   458→                    'needs_reanalysis' => $analysis ? (($analysis['needs_reanalysis'] ?? 0) == 1) : false
   459→                ]
   460→            ];
   461→
   462→            jsonResponse($response);
   463→            break;
   464→
   465→        // ==========================================
   466→        // Thread Participants - Get all contacts in a thread
   467→        // ==========================================
   468→        case 'thread_participants':

        case 'thread':
            $threadId = $_GET['thread_id'] ?? '';
            if (!$threadId) jsonError('Thread ID required');

            // Auto-resolve long URL thread ID to short hex ID from cache
            $threadId = resolveThreadId($threadId);

            // Use QueryAdapter for automatic MySQL/MongoDB routing
            $adapter = QueryAdapter::getInstance();
            $threadData = $adapter->getThreadDetails($threadId);

            if (empty($threadData['emails'])) {
                jsonError('Thread not found', 404);
            }

            $emails = $threadData['emails'];
            $analysis = $threadData['analysis'];

            // Parse JSON fields in analysis (for MySQL string storage)
            if ($analysis && isset($analysis['raw_analysis']) && is_string($analysis['raw_analysis'])) {
                // Strip markdown code block markers if present (```json ... ```)
                $rawStr = trim($analysis['raw_analysis']);
                if (preg_match('/^```(?:json)?\s*([\s\S]*?)\s*```$/s', $rawStr, $matches)) {
                    $rawStr = $matches[1];
                }
                $analysis['raw_analysis'] = json_decode($rawStr, true);
            }
            if ($analysis && isset($analysis['key_points']) && is_string($analysis['key_points'])) {
                $analysis['key_points'] = json_decode($analysis['key_points'], true);
            }

            // Ensure raw_analysis is an array for safe access
            if ($analysis && !isset($analysis['raw_analysis'])) {
                $analysis['raw_analysis'] = [];
            }

            // Extract participants_analysis from raw_analysis for easier access
            $participantsAnalysis = [];
            if ($analysis && isset($analysis['raw_analysis']['participants_analysis'])) {
                $participantsAnalysis = $analysis['raw_analysis']['participants_analysis'];
            }

            // Build response with extracted analysis fields
            $rawAnalysis = $analysis['raw_analysis'] ?? [];

            $response = [
                'thread_id' => $threadId,
                'emails' => $emails,
                'email_count' => count($emails),
                'analysis' => $analysis ? [
                    'summary' => $analysis['summary'] ?? $rawAnalysis['thread_summary'] ?? null,
                    'trust_score' => $rawAnalysis['deception_indicators']['trust_score'] ?? 0.5,
                    'deception_score' => $analysis['deception_score'] ?? $rawAnalysis['deception_indicators']['deception_score'] ?? 0,
                    'risk_level' => $rawAnalysis['recommendations']['overall_risk_level'] ?? 'unknown',
                    'key_points' => $analysis['key_points'] ?? $rawAnalysis['key_points'] ?? [],
                    'warnings' => $rawAnalysis['deception_indicators']['red_flags'] ?? [],
                    'participants_analysis' => $participantsAnalysis,
                    'sentiment' => $rawAnalysis['sentiment_analysis'] ?? null,
                    'negotiation' => $rawAnalysis['negotiation_analysis'] ?? null,
                    'action_items' => $rawAnalysis['action_items'] ?? [],
                    'recommendations' => $rawAnalysis['recommendations'] ?? null,
                    // New fields for unified AI response
                    'reply_suggestions' => $rawAnalysis['reply_suggestions'] ?? [],
                    'business_opportunities' => $rawAnalysis['business_opportunities'] ?? null,
                    'protective_analysis' => $rawAnalysis['protective_analysis'] ?? null,
                    'raw' => $rawAnalysis
                ] : null,
                'status' => [
                    'is_analyzed' => $analysis ? (($analysis['is_analyzed'] ?? 0) == 1) : false,
                    'needs_reanalysis' => $analysis ? (($analysis['needs_reanalysis'] ?? 0) == 1) : false
                ]
            ];

            jsonResponse($response);
            break;

        // ==========================================
        // Thread Participants - Get all contacts in a thread
        // ==========================================
        case 'thread_participants':


Now I see the problem. The `thread` action returns the full email objects including `body_text`, `body_html`, and the entire `analysis.raw` object. For a thread with 57 emails, that's easily 30+ MB of data. The `jsonResponse` call runs `json_encode()` on all that, which exhausts the 128MB memory.

There are multiple issues to fix:

1. **Thread endpoint returns too much data** - When fetching threads for AI context, we don't need the analysis, raw data, etc. We only need the email bodies. I should add a `?mode=ai_context` parameter that returns only email metadata + stripped bodies.

2. **Token estimation is too optimistic** - The `contextThreads.length * 2000` estimate doesn't account for threads with 57+ emails that could easily hit 100K+ characters.
3. **No truncation of content** - I need to enforce a maximum content size before sending to the AI.
4. **Error handling in JS** - The catch block needs to handle non-JSON responses from failed fetches.

The simplest fix is to add a `?for_ai=1` parameter to the thread action that strips out unnecessary data and returns only what the AI needs.

Implementing the fixes now...


I see the full picture now. Multiple issues to fix:

1. **`thread` API returns full analysis + raw data — 30+MB for 57 emails** → crashes PHP memory
2. **Token estimate uses `contextThreads.length * 2000`** → wildly optimistic (real was 420K tokens)
3. **No content truncation** → sends 1.47MB payload to models with 128K-200K token limits
4. **JS error handling** → non-JSON HTTP 500 response crashes `response.json()` silently

Let me fix all of these.


TodoWrite

Add lightweight thread_for_ai endpoint in api.php

Fix token estimation to use real email counts

Add content truncation before sending to AI

Fix JS error handling for failed fetches

Verify PHP syntax


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

Add lightweight thread_for_ai endpoint in api.php

Fix token estimation to use real email counts

Add content truncation before sending to AI

Fix JS error handling for failed fetches

Verify PHP syntax


**Fix 1:** Add a lightweight `thread_for_ai` endpoint that returns only stripped email bodies, no analysis.


   462→            jsonResponse($response);
   463→            break;
   464→
   465→        // ==========================================
   466→        // Thread Participants - Get all contacts in a thread
   467→        // ==========================================
   468→        case 'thread_participants':
   469→
   470→            $threadId = $_GET['thread_id'] ?? '';
   471→            if (!$threadId) jsonError('Thread ID required');

            jsonResponse($response);
            break;

        // ==========================================
        // Thread Participants - Get all contacts in a thread
        // ==========================================
        case 'thread_participants':

            $threadId = $_GET['thread_id'] ?? '';
            if (!$threadId) jsonError('Thread ID required');


Edit

        // ==========================================
        // Thread for AI Context (lightweight - stripped bodies only, no analysis)
        // ==========================================
        case 'thread_for_ai':
            $threadId = $_GET['thread_id'] ?? '';
            if (!$threadId) jsonError('Thread ID required');

            $threadId = resolveThreadId($threadId);
            $adapter = QueryAdapter::getInstance();
            $threadData = $adapter->getThreadDetails($threadId);

            if (empty($threadData['emails'])) {
                jsonError('Thread not found', 404);
            }

            // Return only what AI needs: sender, date, direction, stripped body
            $aiEmails = [];
            $totalChars = 0;
            foreach ($threadData['emails'] as $email) {
                $body = $email['body_text'] ?? $email['body_html'] ?? '';
                // Strip quoted content to save tokens
                $body = \EmailIntelligence\ThreadAnalyzer::stripQuotedContent($body);
                // Truncate individual emails to 3000 chars max
                if (strlen($body) > 3000) {
                    $body = substr($body, 0, 3000) . "\n...(truncated)";
                }
                $totalChars += strlen($body);

                $aiEmails[] = [
                    'from_name' => $email['from_name'] ?? $email['contact_name'] ?? '',
                    'from_email' => $email['from_email'] ?? '',
                    'date' => $email['date'] ?? '',
                    'direction' => $email['direction'] ?? '',
                    'subject' => $email['subject'] ?? '',
                    'body_text' => $body
                ];
            }

            jsonResponse([
                'thread_id' => $threadId,
                'emails' => $aiEmails,
                'email_count' => count($aiEmails),
                'total_chars' => $totalChars
            ]);
            break;

        // ==========================================
        // Thread Participants - Get all contacts in a thread
        // ==========================================
        case 'thread_participants':