Now let me update the todo and verify the PHP syntax:


TodoWrite

Add Two-Round AI checkbox and response selection UI

Implement Round 2 auto-summary logic in submitToAI

Add manual response selection + follow-up feature

Wire Round 1 completion to Round 2 auto-trigger in submitToAI

Test and 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 Two-Round AI checkbox and response selection UI

Implement Round 2 auto-summary logic in submitToAI

Add manual response selection + follow-up feature

Wire Round 1 completion to Round 2 auto-trigger in submitToAI

Test and verify PHP syntax

Test and verify PHP syntax


Bash

cd /var/www/mssql.danmarcrm.com/dev1/extension2v1/public && php -l thread_view.php 2>&1

Check PHP syntax of thread_view.php


No syntax errors detected in thread_view.php


PHP syntax is clean. Now let me verify the complete flow makes sense by reading the final wired-up section:


  2926→
  2927→                    // Clear the question field for next question
  2928→                    document.getElementById('ai-question').value = '';
  2929→                    updateTokenEstimate();
  2930→
  2931→                    // Store Round 1 info for potential Round 2 / follow-ups
  2932→                    lastRound1Providers = selectedProvidersList.slice();
  2933→                    lastRound1Models = Object.assign({}, modelsMap);
  2934→                    lastRound1Question = actualQuestion;
  2935→                    lastFullContent = fullContent;
  2936→
  2937→                    // Display Round 1 response
  2938→                    displayAIResponse(data, 'Round 1');
  2939→
  2940→                    // Check if Two-Round mode is enabled → auto-trigger Round 2
  2941→                    var twoRoundCheckbox = document.getElementById('two-round-mode');
  2942→                    if (twoRoundCheckbox && twoRoundCheckbox.checked) {
  2943→                        // Count successful responses
  2944→                        var r1SuccessCount = 0;
  2945→                        for (var rk in lastRound1Responses) {
  2946→                            if (lastRound1Responses[rk] && lastRound1Responses[rk].success) r1SuccessCount++;
  2947→                        }
  2948→                        if (r1SuccessCount > 0) {
  2949→                            // Keep loading overlay active — sendRound2 will manage it
  2950→                            document.getElementById('loading-message').textContent = 'Round 1 complete (' + r1SuccessCount + ' responses). Starting Round 2 synthesis...';
  2951→                            sendRound2(lastRound1Responses, lastRound1Providers, lastRound1Models, lastRound1Question);
  2952→                            return; // Don't hide overlay — sendRound2's finally will do it
  2953→                        }
  2954→                    }
  2955→                } else {
  2956→                    alert('AI request failed: ' + (data.error || 'Unknown error'));
  2957→                }
  2958→            } catch (error) {
  2959→                console.error('AI request error:', error);
  2960→                alert('Error: ' + error.message);
  2961→            } finally {
  2962→                document.getElementById('loading-overlay').classList.remove('active');
  2963→                document.getElementById('submit-ai-btn').disabled = false;
  2964→            }
  2965→        }

                    // Clear the question field for next question
                    document.getElementById('ai-question').value = '';
                    updateTokenEstimate();

                    // Store Round 1 info for potential Round 2 / follow-ups
                    lastRound1Providers = selectedProvidersList.slice();
                    lastRound1Models = Object.assign({}, modelsMap);
                    lastRound1Question = actualQuestion;
                    lastFullContent = fullContent;

                    // Display Round 1 response
                    displayAIResponse(data, 'Round 1');

                    // Check if Two-Round mode is enabled → auto-trigger Round 2
                    var twoRoundCheckbox = document.getElementById('two-round-mode');
                    if (twoRoundCheckbox && twoRoundCheckbox.checked) {
                        // Count successful responses
                        var r1SuccessCount = 0;
                        for (var rk in lastRound1Responses) {
                            if (lastRound1Responses[rk] && lastRound1Responses[rk].success) r1SuccessCount++;
                        }
                        if (r1SuccessCount > 0) {
                            // Keep loading overlay active — sendRound2 will manage it
                            document.getElementById('loading-message').textContent = 'Round 1 complete (' + r1SuccessCount + ' responses). Starting Round 2 synthesis...';
                            sendRound2(lastRound1Responses, lastRound1Providers, lastRound1Models, lastRound1Question);
                            return; // Don't hide overlay — sendRound2's finally will do it
                        }
                    }
                } else {
                    alert('AI request failed: ' + (data.error || 'Unknown error'));
                }
            } catch (error) {
                console.error('AI request error:', error);
                alert('Error: ' + error.message);
            } finally {
                document.getElementById('loading-overlay').classList.remove('active');
                document.getElementById('submit-ai-btn').disabled = false;
            }
        }


The flow is now correctly wired:

1. **Round 1 completes** → stores providers/models/question in `lastRound1*` variables
2. **`displayAIResponse(data, 'Round 1')`** → shows responses with checkboxes, populates `lastRound1Responses`
3. **Two-round check** → if checkbox is checked AND there are successful responses, updates loading message and calls `sendRound2()`, then `return`s to skip the `finally` block (since `sendRound2` has its own `.finally()` that hides the overlay)
4. **If not two-round mode** → falls through to `finally` which hides overlay normally

Let me also verify the `askFollowUp` function works properly with the stored variables:


  2071→        function askFollowUp() {
  2072→            var question = prompt('Enter your follow-up question:');
  2073→            if (!question || !question.trim()) return;
  2074→
  2075→            // Collect selected responses
  2076→            var selected = getSelectedResponseTexts();
  2077→            if (selected.length === 0) {
  2078→                alert('Please select at least one response to include as context.');
  2079→                return;
  2080→            }
  2081→
  2082→            // Build follow-up content
  2083→            var followUpContent = '=== FOLLOW-UP QUESTION ===\n';
  2084→            followUpContent += 'The user previously asked about an email conversation and received the following AI analyses.\n';
  2085→            followUpContent += 'Now they have a follow-up question based on these analyses.\n\n';
  2086→
  2087→            selected.forEach(function(sel) {
  2088→                followUpContent += '--- Previous analysis from ' + sel.provider.toUpperCase() + ' (' + sel.model + ') ---\n';
  2089→                var text = sel.response;
  2090→                if (text.length > 4000) text = text.substring(0, 4000) + '\n...(truncated)';
  2091→                followUpContent += text + '\n\n';
  2092→            });
  2093→
  2094→            followUpContent += '=== END PREVIOUS ANALYSES ===\n\n';
  2095→            followUpContent += 'FOLLOW-UP QUESTION: ' + question.trim();
  2096→
  2097→            // Use currently selected providers
  2098→            var providersList = getSelectedProviders();
  2099→            if (providersList.length === 0) {
  2100→                alert('No AI providers selected.');
  2101→                return;
  2102→            }
  2103→
  2104→            var modelsMap = {};
  2105→            providersList.forEach(function(prov) {
  2106→                var sel = document.getElementById('model_' + prov);
  2107→                modelsMap[prov] = sel ? sel.value : '';
  2108→            });
  2109→
  2110→            // Token check
  2111→            var tokens = Math.ceil(followUpContent.length / 3.5);
  2112→            var modelLimit = getSmallestModelLimit();
  2113→            var maxChars = Math.floor(modelLimit * 3.5 * 0.85);
  2114→            if (followUpContent.length > maxChars) {
  2115→                followUpContent = followUpContent.substring(0, maxChars) + '\n\n...(truncated)';
  2116→            }
  2117→
  2118→            console.log('Follow-up: ' + followUpContent.length + ' chars, ' + providersList.length + ' providers');
  2119→
  2120→            document.getElementById('loading-overlay').classList.add('active');
  2121→            document.getElementById('loading-message').textContent = 'Sending follow-up to ' + providersList.length + ' AI(s)...';
  2122→            document.getElementById('submit-ai-btn').disabled = true;
  2123→
  2124→            var requestBody = {
  2125→                user_content: followUpContent,
  2126→                providers: providersList
  2127→            };
  2128→            for (var p in modelsMap) {
  2129→                requestBody['model_' + p] = modelsMap[p];
  2130→            }
  2131→
  2132→            var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;
  2133→
  2134→            logAiDebug({
  2135→                type: 'request_followup',
  2136→                thread_id: currentThreadId,
  2137→                providers: providersList,
  2138→                content_length: followUpContent.length,
  2139→                question: question.trim()
  2140→            });
  2141→
  2142→            fetchWithTimeout('../aiapi/api_opus/api/query.php', {
  2143→                method: 'POST',
  2144→                headers: { 'Content-Type': 'application/json' },
  2145→                body: JSON.stringify(requestBody)
  2146→            }, timeoutSec * 1000)
  2147→            .then(function(response) {
  2148→                if (!response.ok) throw new Error('HTTP ' + response.status);
  2149→                return response.text();
  2150→            })

        function askFollowUp() {
            var question = prompt('Enter your follow-up question:');
            if (!question || !question.trim()) return;

            // Collect selected responses
            var selected = getSelectedResponseTexts();
            if (selected.length === 0) {
                alert('Please select at least one response to include as context.');
                return;
            }

            // Build follow-up content
            var followUpContent = '=== FOLLOW-UP QUESTION ===\n';
            followUpContent += 'The user previously asked about an email conversation and received the following AI analyses.\n';
            followUpContent += 'Now they have a follow-up question based on these analyses.\n\n';

            selected.forEach(function(sel) {
                followUpContent += '--- Previous analysis from ' + sel.provider.toUpperCase() + ' (' + sel.model + ') ---\n';
                var text = sel.response;
                if (text.length > 4000) text = text.substring(0, 4000) + '\n...(truncated)';
                followUpContent += text + '\n\n';
            });

            followUpContent += '=== END PREVIOUS ANALYSES ===\n\n';
            followUpContent += 'FOLLOW-UP QUESTION: ' + question.trim();

            // Use currently selected providers
            var providersList = getSelectedProviders();
            if (providersList.length === 0) {
                alert('No AI providers selected.');
                return;
            }

            var modelsMap = {};
            providersList.forEach(function(prov) {
                var sel = document.getElementById('model_' + prov);
                modelsMap[prov] = sel ? sel.value : '';
            });

            // Token check
            var tokens = Math.ceil(followUpContent.length / 3.5);
            var modelLimit = getSmallestModelLimit();
            var maxChars = Math.floor(modelLimit * 3.5 * 0.85);
            if (followUpContent.length > maxChars) {
                followUpContent = followUpContent.substring(0, maxChars) + '\n\n...(truncated)';
            }

            console.log('Follow-up: ' + followUpContent.length + ' chars, ' + providersList.length + ' providers');

            document.getElementById('loading-overlay').classList.add('active');
            document.getElementById('loading-message').textContent = 'Sending follow-up to ' + providersList.length + ' AI(s)...';
            document.getElementById('submit-ai-btn').disabled = true;

            var requestBody = {
                user_content: followUpContent,
                providers: providersList
            };
            for (var p in modelsMap) {
                requestBody['model_' + p] = modelsMap[p];
            }

            var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;

            logAiDebug({
                type: 'request_followup',
                thread_id: currentThreadId,
                providers: providersList,
                content_length: followUpContent.length,
                question: question.trim()
            });

            fetchWithTimeout('../aiapi/api_opus/api/query.php', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify(requestBody)
            }, timeoutSec * 1000)
            .then(function(response) {
                if (!response.ok) throw new Error('HTTP ' + response.status);
                return response.text();
            })


  2150→            })
  2151→            .then(function(text) {
  2152→                var data;
  2153→                try { data = JSON.parse(text); } catch(e) { throw new Error('Invalid JSON'); }
  2154→                if (data.success) {
  2155→                    // Show in Round 2 container
  2156→                    displayRound2Response(data);
  2157→
  2158→                    // Add to conversation history
  2159→                    for (var key in data.responses) {
  2160→                        var r = data.responses[key];
  2161→                        if (r && r.success && r.response) {
  2162→                            var pName = key.replace('_response', '');
  2163→                            addToConversation(question.trim(), r.response, pName, modelsMap[pName] || '', '');
  2164→                            break;
  2165→                        }
  2166→                    }
  2167→
  2168→                    // Save
  2169→                    providersList.forEach(function(prov) {
  2170→                        var pr = data.responses[prov + '_response'];
  2171→                        if (pr && pr.success) {
  2172→                            saveAIResponse({
  2173→                                thread_ids: [currentThreadId],
  2174→                                contact_id: primaryContactId,
  2175→                                question: 'Follow-up: ' + question.trim(),
  2176→                                agent: selectedAgent,
  2177→                                content_mode: 'followup',
  2178→                                content_length: followUpContent.length,
  2179→                                provider: prov,
  2180→                                model: modelsMap[prov],
  2181→                                query_id: data.query_id,
  2182→                                response: pr,
  2183→                                total_cost: pr.cost || 0,
  2184→                                round: 'followup'
  2185→                            });
  2186→                        }
  2187→                    });
  2188→                } else {
  2189→                    alert('Follow-up failed: ' + (data.error || 'Unknown'));
  2190→                }
  2191→            })
  2192→            .catch(function(err) {
  2193→                alert('Follow-up error: ' + err.message);
  2194→            })
  2195→            .finally(function() {
  2196→                document.getElementById('loading-overlay').classList.remove('active');
  2197→                document.getElementById('submit-ai-btn').disabled = false;
  2198→            });
  2199→        }
  2200→
  2201→        // Get selected response texts for follow-up
  2202→        function getSelectedResponseTexts() {
  2203→            var result = [];
  2204→            document.querySelectorAll('.response-select-cb:checked').forEach(function(cb) {
  2205→                result.push({
  2206→                    provider: cb.dataset.provider,
  2207→                    model: cb.dataset.model || '',
  2208→                    response: cb.dataset.responseText || ''
  2209→                });
  2210→            });
  2211→            return result;
  2212→        }
  2213→
  2214→        function selectAllResponses() {
  2215→            document.querySelectorAll('.response-select-cb').forEach(function(cb) { cb.checked = true; });
  2216→        }
  2217→
  2218→        function deselectAllResponses() {
  2219→            document.querySelectorAll('.response-select-cb').forEach(function(cb) { cb.checked = false; });
  2220→        }
  2221→
  2222→        // Fetch with timeout using AbortController
  2223→        function fetchWithTimeout(url, options, timeoutMs) {
  2224→            var controller = new AbortController();
  2225→            options.signal = controller.signal;
  2226→            var timeoutId = setTimeout(function() { controller.abort(); }, timeoutMs);
  2227→
  2228→            return fetch(url, options).then(function(response) {
  2229→                clearTimeout(timeoutId);

            })
            .then(function(text) {
                var data;
                try { data = JSON.parse(text); } catch(e) { throw new Error('Invalid JSON'); }
                if (data.success) {
                    // Show in Round 2 container
                    displayRound2Response(data);

                    // Add to conversation history
                    for (var key in data.responses) {
                        var r = data.responses[key];
                        if (r && r.success && r.response) {
                            var pName = key.replace('_response', '');
                            addToConversation(question.trim(), r.response, pName, modelsMap[pName] || '', '');
                            break;
                        }
                    }

                    // Save
                    providersList.forEach(function(prov) {
                        var pr = data.responses[prov + '_response'];
                        if (pr && pr.success) {
                            saveAIResponse({
                                thread_ids: [currentThreadId],
                                contact_id: primaryContactId,
                                question: 'Follow-up: ' + question.trim(),
                                agent: selectedAgent,
                                content_mode: 'followup',
                                content_length: followUpContent.length,
                                provider: prov,
                                model: modelsMap[prov],
                                query_id: data.query_id,
                                response: pr,
                                total_cost: pr.cost || 0,
                                round: 'followup'
                            });
                        }
                    });
                } else {
                    alert('Follow-up failed: ' + (data.error || 'Unknown'));
                }
            })
            .catch(function(err) {
                alert('Follow-up error: ' + err.message);
            })
            .finally(function() {
                document.getElementById('loading-overlay').classList.remove('active');
                document.getElementById('submit-ai-btn').disabled = false;
            });
        }

        // Get selected response texts for follow-up
        function getSelectedResponseTexts() {
            var result = [];
            document.querySelectorAll('.response-select-cb:checked').forEach(function(cb) {
                result.push({
                    provider: cb.dataset.provider,
                    model: cb.dataset.model || '',
                    response: cb.dataset.responseText || ''
                });
            });
            return result;
        }

        function selectAllResponses() {
            document.querySelectorAll('.response-select-cb').forEach(function(cb) { cb.checked = true; });
        }

        function deselectAllResponses() {
            document.querySelectorAll('.response-select-cb').forEach(function(cb) { cb.checked = false; });
        }

        // Fetch with timeout using AbortController
        function fetchWithTimeout(url, options, timeoutMs) {
            var controller = new AbortController();
            options.signal = controller.signal;
            var timeoutId = setTimeout(function() { controller.abort(); }, timeoutMs);

            return fetch(url, options).then(function(response) {
                clearTimeout(timeoutId);


Everything looks solid. Let me also verify the HTML for the Two-Round controls exists properly:


1046:        .response-select-bar {
1056:        .response-select-bar .btn {
1103:        .provider-timeout {
1176:

1185:

1188:                        <button class="btn btn-secondary" onclick="document.getElementById('ai-response-round2-container').style.display='none'">Close</button>
1366:                            <input type="checkbox" id="two-round-mode">
1375:                                <select id="provider-timeout" style="padding:3px 6px;border-radius:4px;border:1px solid #ccc;font-size:0.9em;">
1937:            var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;
2010:            var container = document.getElementById('ai-response-round2-container');
2132:            var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;
2832:                var timeoutSec = parseInt(document.getElementById('provider-timeout').value) || 120;
2941:                    var twoRoundCheckbox = document.getElementById('two-round-mode');
2998:            document.getElementById('ai-response-round2-container').style.display = 'none';
3062:            var selectBar = document.getElementById('response-select-bar');
3070:                summaryDiv.className = 'provider-timeout';


All HTML elements are properly defined. Let me now also port these same changes to the `extension2` directory since both directories need to stay in sync. Let me check if thread_view.php exists there too:


ls -la /var/www/mssql.danmarcrm.com/dev1/extension2/public/thread_view.php 2>&1

Check if thread_view.php exists in extension2


Error: Exit code 2
ls: cannot access '/var/www/mssql.danmarcrm.com/dev1/extension2/public/thread_view.php': No such file or directory

ls: cannot access '/var/www/mssql.danmarcrm.com/dev1/extension2/public/thread_view.php': No such file or directory


Good — thread_view.php only exists in `extension2v1`. Now let me run a quick end-to-end test to verify the page loads without JS errors:


curl -s -o /dev/null -w "%{http_code}" "https://mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php?thread_id=18de73e1494697fb" 2>&1

Check thread_view.php loads with HTTP 200


Page loads fine. Let me also quickly verify the JS functions are all properly defined by checking for unclosed brackets or obvious syntax issues:


php -r "
\$html = file_get_contents('thread_view.php');
// Extract JS between script tags
preg_match_all('/<script[^>]*>(.*?)<\/script>/s', \$html, \$matches);
\$jsCount = count(\$matches[1]);
echo \"Found \$jsCount script blocks\n\";

// Check for key functions
\$funcs = ['sendRound2', 'askFollowUp', 'fetchWithTimeout', 'displayRound2Response', 'switchRound2Tab', 'selectAllResponses', 'deselectAllResponses', 'getSelectedResponseTexts'];
foreach (\$funcs as \$f) {
    \$found = strpos(\$html, 'function ' . \$f) !== false;
    echo \$f . ': ' . (\$found ? 'FOUND' : 'MISSING') . \"\n\";
}

// Check for key elements
\$els = ['two-round-mode', 'provider-timeout', 'response-select-bar', 'ai-response-round2-container'];
foreach (\$els as \$e) {
    \$found = strpos(\$html, 'id=\"' . \$e . '\"') !== false;
    echo 'Element ' . \$e . ': ' . (\$found ? 'FOUND' : 'MISSING') . \"\n\";
}

// Check lastRound1 variables are stored
echo 'lastRound1Providers stored: ' . (strpos(\$html, 'lastRound1Providers = selectedProvidersList.slice()') !== false ? 'YES' : 'NO') . \"\n\";
echo 'lastRound1Models stored: ' . (strpos(\$html, 'lastRound1Models = Object.assign') !== false ? 'YES' : 'NO') . \"\n\";
echo 'lastRound1Question stored: ' . (strpos(\$html, 'lastRound1Question = actualQuestion') !== false ? 'YES' : 'NO') . \"\n\";
echo 'Round 2 auto-trigger: ' . (strpos(\$html, 'sendRound2(lastRound1Responses') !== false ? 'YES' : 'NO') . \"\n\";
echo 'displayAIResponse Round 1 label: ' . (strpos(\$html, \"displayAIResponse(data, 'Round 1')\") !== false ? 'YES' : 'NO') . \"\n\";
" 2>&1

Verify all Two-Round AI functions and elements exist


Found 1 script blocks
sendRound2: FOUND
askFollowUp: FOUND
fetchWithTimeout: FOUND
displayRound2Response: FOUND
switchRound2Tab: FOUND
selectAllResponses: FOUND
deselectAllResponses: FOUND
getSelectedResponseTexts: FOUND
Element two-round-mode: FOUND
Element provider-timeout: FOUND
Element response-select-bar: FOUND
Element ai-response-round2-container: FOUND
lastRound1Providers stored: YES
lastRound1Models stored: YES
lastRound1Question stored: YES
Round 2 auto-trigger: YES
displayAIResponse Round 1 label: YES


Everything checks out. Let me update the todo list:


TodoWrite

Add Two-Round AI checkbox and response selection UI

Implement Round 2 auto-summary logic in submitToAI

Add manual response selection + follow-up feature

Wire Round 1 completion to Round 2 auto-trigger in submitToAI

Test and verify PHP syntax


Test and verify PHP syntax

Test and verify PHP syntax


The Two-Round AI feature is now fully wired up and verified. Here's a summary of the complete implementation:

**What was completed (the missing piece):**

In `submitToAI()` at [thread_view.php:2931-2954](public/thread_view.php#L2931-L2954), I wired Round 1 completion to the Round 2 auto-trigger:

1. **Stores Round 1 state** — `lastRound1Providers`, `lastRound1Models`, `lastRound1Question`, `lastFullContent` are saved after Round 1 returns
2. **Displays with label** — `displayAIResponse(data, 'Round 1')` now passes the round label
3. **Auto-triggers Round 2** — If the "Two-Round AI" checkbox is checked and at least one provider responded successfully, it updates the loading message and calls `sendRound2()` automatically
4. **Loading overlay stays active** between rounds — the `return` statement skips the `finally` block; `sendRound2`'s own `.finally()` handles cleanup

**Full feature flow:**
- **Two-Round mode (checkbox on):** Submit → Round 1 (all providers) → auto Round 2 (all providers receive all Round 1 analyses, produce unified synthesis)
- **Manual follow-up (checkbox off):** Submit → Round 1 → user selects which responses to include → clicks "Ask Follow-up" → enters question → providers answer with selected responses as context
- **Timeout handling:** Configurable per-provider timeout (60s–300s) via dropdown, failed/slow providers shown as errors but don't block


<ide_opened_file>The user opened the file /temp/readonly/command (mj34j7) in the IDE. This may or may not be related to the current task.</ide_opened_file>

working pretty well thank you
- pls add functionality to delete:
-- contacts
-- email threads
-- AI responses
- allow sorting by last activity
- add filters both in Contacts and Threads and add Last Activity date filter
- need to be fixed as not all email threads to be linked to Etienne Turner
- there are some emai threads that for sure I didn't ask to be saved, where are those comming from? ex:
https://mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php?thread_id=19bd4f343ca15018
- Very important, I need a functionality to allow users to sync by domain ex delta-engineering.be or by email address ddb@delta-engineering.be
- we also need to be able to delete all email threads for certain email addresses if were sync by mistake
- for Two-Round AI feature can we add a create chart functionality that will add events/things/persons/texts etc in ballons add arrows etc?
- was the Products tab implemented by mistake? It may be asking for this in the wrong project, not sure if it makes sense here and if click Open Product Dashboard I get Access Denied from:
https://mssql.danmarcrm.com/dev1/extension2v1/public/product_search.php
- please update the AI models versions, Claude got to 4.6 already etc .. I think the proxy is also on this server if you need access to it? or to 46.xxx you can connect by ssh root@.


The user has a lot of requests. Let me break these down and plan carefully. This is a complex multi-task request that needs planning.

Let me categorize:

1. **Delete functionality** - contacts, email threads, AI responses
2. **Sorting by last activity** - for contacts and threads
3. **Filters** - in Contacts and Threads sections, including Last Activity date filter
4. **Fix contact name bug** - "not all email threads to be linked to Etienne Turner" - this was supposedly fixed before but seems to still be an issue
5. **Unknown email threads** - threads showing up that weren't asked to be saved

6. **Sync by domain/email** - allow users to sync emails by domain or specific email address
7. **Delete all threads for certain email addresses** - bulk delete for mistakenly synced emails
8. **Two-Round AI chart functionality** - create visual charts with balloons and arrows
9. **Products tab** - was it implemented by mistake? product_search.php gives Access Denied
10. **Update AI model versions** - Claude 4.6, etc. in the proxy

This is a very large set of tasks with many architectural decisions and multiple valid approaches. Let me start by examining the current state of the codebase to understand what's already in place.


That's a big list of changes! Let me enter plan mode to explore the codebase and design the implementation approach for all of these.


Entered plan mode. You should now focus on exploring the codebase and designing an implementation approach.

In plan mode, you should:
1. Thoroughly explore the codebase to understand existing patterns
2. Identify similar features and architectural approaches
3. Consider multiple approaches and their trade-offs
4. Use AskUserQuestion if you need to clarify the approach
5. Design a concrete implementation strategy
6. When ready, use ExitPlanMode to present your plan for approval

Remember: DO NOT write or edit any files yet. This is a read-only exploration and planning phase.


Let me explore the codebase to understand the current state of things before planning. I'll launch parallel explore agents for the different areas.


Task

Explore dashboard and data model

Prompt:
Explore the extension2v1 project at /var/www/mssql.danmarcrm.com/dev1/extension2v1/ with "very thorough" thoroughness.

I need to understand:

1. **Dashboard main page (index.php + app.js)**: How contacts and threads are loaded, displayed, sorted. Look at the HTML structure for contacts list and threads list. What columns/info are shown? Is there a "last activity" date? Are there any delete buttons currently? Any existing filter UI?

2. **API endpoints (api.php)**: What actions exist for contacts, threads, and AI responses? Look for any existing delete endpoints. Look for sync-related endpoints.

3. **QueryAdapter.php**: What methods exist for contacts, threads? Is there a method to delete contacts/threads/AI responses? How is "last activity" tracked?

4. **MongoDB collections**: What collections are used? What fields do they have? Look at MongoDatabase.php for available methods.

5. **product_search.php**: Does this file exist? What does it do?

6. **Thread sync mechanism**: How do email threads get into the system? Is it via Chrome extension? Where is the sync logic?

7. **The thread at thread_id=19bd4f343ca15018**: Can we find how threads get created/imported?

Focus on extension2v1 directory.


Explore dashboard and data model


Explore AI proxy and models

Prompt:
Explore the AI proxy configuration at /var/www/mssql.danmarcrm.com/dev1/extension2v1/ and /var/www/mssql.danmarcrm.com/dev1/extension2/ with "very thorough" thoroughness.

I need to understand:

1. **AI proxy paths**: Look at `aiapi/api_opus/` and `aiapi/api_codex51/` - what models/providers are configured? What model versions are currently set?

2. **Provider configuration in thread_view.php**: Search for where AI providers and models are defined in the thread_view.php UI. What models/versions are listed in dropdowns?

3. **MODEL_LIMITS in thread_view.php**: What model limits are defined? What model names are used?

4. **Any config files**: Check `config/` directory for AI model configuration.

5. **The ai_opus proxy**: Look at the query.php file - how does it handle providers and models? Is there a providers.json or similar config file?

I want to know the exact current model versions so we can update them to the latest (Claude 4.6, etc).


Explore AI proxy and models


Explore contact name bug and sync

Prompt:
Explore /var/www/mssql.danmarcrm.com/dev1/extension2v1/ with "very thorough" thoroughness.

I need to understand:

1. **Contact name resolution for threads**: The user says "not all email threads should be linked to Etienne Turner". Look at QueryAdapter.php methods `getThreadsMongo()` and `getThreadsSQL()` to see how thread contact names are resolved. This was supposedly fixed to find the most frequent inbound sender, but may still have issues.

2. **How threads get imported/synced**: Look at api.php for any "sync" or "import" or "save_thread" or "process_email" actions. How does data get from Gmail into the system? Look at the Chrome extension integration points.

3. **The Chrome extension**: Look at the api.php endpoints that the Chrome extension calls. Search for endpoints that create/save email threads.

4. **Thread origin tracking**: Is there a field that tracks WHERE a thread came from (manual sync vs auto-import)?

5. **Email sync by domain**: Is there any existing functionality to sync by domain or email address? Search for "domain" or "sync" in the codebase.

6. **Saved responses (AI)**: Look at the `ai_query_responses` or similar collection - what fields does it have? How are AI responses stored and retrieved?


Explore contact name bug and sync


Perfect! Now let me provide a comprehensive summary of the AI proxy configuration across both server roots.

## AI Proxy Configuration Analysis - Complete Report

I've completed a thorough exploration of the AI proxy configuration across both server roots. Here are my detailed findings:

---

### 1. DIRECTORY STRUCTURE

**extension2** (Original):
- `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/`
  - `api_codex51/` - Single provider AI proxy (active)
  - `api_opus/` - Multi-provider AI proxy (active)
  - `api_composer/` - Inactive
  - `api_grok/` - Inactive

**extension2v1** (Active):
- `/var/www/mssql.danmarcrm.com/dev1/extension2v1/aiapi/`
  - `api_opus/` - Multi-provider AI proxy (only active proxy)
  - `__xNotWorkigFully_api_codex51/` - Disabled
  - `__xNotWorkigFully_api_composer/` - Disabled
  - `__xNotWorkigFullyButClose_api_grok/` - Disabled

---

### 2. API OPUS (MULTI-PROVIDER PROXY) - PRIMARY GATEWAY

**Location**:
- extension2: `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_opus/config/api_keys.php`
- extension2v1: `/var/www/mssql.danmarcrm.com/dev1/extension2v1/aiapi/api_opus/config/api_keys.php`

**Currently Configured Providers** (Both versions):

| Provider | Enabled | Default Model | Available Models |
|----------|---------|---|---|
| **Claude** | ✓ | `claude-sonnet-4-5-20250929` | claude-sonnet-4-5-20250929, claude-3-5-sonnet-20241022, claude-3-5-haiku-20241022, claude-opus-4-20250514, claude-3-opus-20240229 |
| **OpenAI** | ✓ | `gpt-4o` (ext2) / `gpt-5.2` (ext2v1) | 8+ models including gpt-4o, gpt-4o-mini, gpt-4-turbo, o1, o1-mini, o3-mini |
| **Gemini** | ✓ | `gemini-2.0-flash-exp` (ext2) / `gemini-2.5-flash` (ext2v1) | 5+ models |
| **Grok** | ✓ | `grok-2-latest` (ext2) / `grok-4` (ext2v1) | 5+ models |
| **DeepSeek** | ✓ | `deepseek-chat` | deepseek-chat, deepseek-reasoner |
| **Qwen** | ✓ | `qwen-max` (ext2) / `qwen-max-latest` (ext2v1) | 4+ models |
| **Mistral** | ✓ | `mistral-large-latest` | 6+ models in v1 |
| **Cohere** | ✓ | `command-r-plus` (ext2) / `command-a-03-2025` (ext2v1) | 4+ models |

**KEY DIFFERENCES between extension2 and extension2v1**:

**extension2** (OLDER):
- Claude: Default = `claude-sonnet-4-5-20250929`
- OpenAI: Default = `gpt-4o`
- Gemini: Default = `gemini-2.0-flash-exp`
- Grok: Default = `grok-2-latest`

**extension2v1** (NEWER):
- Claude: Default = `claude-sonnet-4-5-20250929` (SAME)
- OpenAI: Default = `gpt-5.2` (MORE ADVANCED - includes GPT-5 series)
- Gemini: Default = `gemini-2.5-flash` (NEWER)
- Grok: Default = `grok-4` (NEWEST)
- Has newer model versions across all providers

---

### 3. API CODEX51 (SINGLE PROVIDER PROXY)

**Location**: `/var/www/mssql.danmarcrm.com/dev1/extension2/aiapi/api_codex51/config/api_keys.php`

**Status**: Active in extension2 only (used as fallback for floating AI panel)

**Default Models**:
- Claude: `claude-3-5-sonnet-20241022` (Older version)
- OpenAI: `gpt-4o`
- Gemini: `gemini-1.5-flash`
- Grok: `grok-2-latest`
- DeepSeek: `deepseek-chat`

**Note**: extension2v1 has this DISABLED (renamed to `__xNotWorkigFully_api_codex51`)

---

### 4. ROOT CONFIG.PHP SETTINGS

**Location**:
- extension2: `/var/www/mssql.danmarcrm.com/dev1/extension2/config/config.php`
- extension2v1: `/var/www/mssql.danmarcrm.com/dev1/extension2v1/config/config.php`

**Static AI Provider Settings**:

```
CLAUDE_API_KEY: [present]
CLAUDE_MODEL: 'claude-sonnet-4-5-20250929'
CLAUDE_MAX_TOKENS: 16000

OPENAI_API_KEY: [present]
OPENAI_MODEL: 'gpt-4o'
OPENAI_MAX_TOKENS: 16000

AI_PROVIDER (default selection):
  - extension2: 'openai'
  - extension2v1: 'claude'
```

---

### 5. THREAD_VIEW.PHP MODEL LIMITS (extension2v1 only)

**File**: `/var/www/mssql.danmarcrm.com/dev1/extension2v1/public/thread_view.php`

**JavaScript MODEL_LIMITS constant** (Line 1512-1546):

```javascript
const MODEL_LIMITS = {
    'claude-sonnet-4-5-20250929': 200000,
    'claude-3-5-sonnet-20241022': 200000,
    'claude-opus-4-5-20250929': 200000,  // NEW - Opus 4.5
    'claude-3-opus-20240229': 200000,
    'claude-3-5-haiku-20241022': 200000,
    'gpt-4o': 128000,
    'gpt-4o-mini': 128000,
    'gpt-4-turbo': 128000,
    'gpt-4.1': 1000000,                  // NEW - GPT-4.1 variant
    'gpt-4.1-mini': 1000000,             // NEW - GPT-4.1 variant
    // ... additional models with default 128000
};
```

**Dynamic provider dropdown**: Loads from `getAvailableProviders()` API response, showing each provider's configured models with default selected.

---

### 6. KEY OBSERVATIONS

**Version Differences**:

1. **extension2v1 is AHEAD**:
   - Newer Claude models (Opus 4.5)
   - Newer OpenAI models (GPT-5.x series)
   - Newer Gemini (2.5-flash)
   - Newer Grok (4)
   - Additional models in some providers

2. **extension2 is OLDER**:
   - Older OpenAI defaults (gpt-4o, not gpt-5)
   - Older Grok (grok-2-latest)
   - Uses api_codex51 as fallback proxy

3. **API Proxy Path**:
   - extension2v1 uses `/aiapi/api_opus/api/query.php` (vision-enabled v1.1)
   - extension2 uses both `/aiapi/api_opus/` and `/aiapi/api_codex51/`

4. **Model Token Context Windows**:
   - Claude models: **200K tokens**
   - GPT-4 models: **128K tokens**
   - GPT-4.1: **1M tokens** (theoretical)
   - Defaults to 128K for unlisted models

---

### 7. PROVIDER CONFIGURATION PATHS

| File | Purpose | Usage |
|------|---------|-------|
| `/aiapi/api_opus/config/api_keys.php` | Provider models & pricing | Multi-provider gateway |
| `/aiapi/api_opus/src/AIManager.php` | Initialize & coordinate providers | Loads config, builds provider list |
| `/aiapi/api_opus/api/query.php` | Main API endpoint | POST queries, GET providers |
| `/public/thread_view.php` | UI with model selectors | Renders dropdowns, manages token limits |
| `/config/config.php` | Legacy static defaults | Fallback for old code paths |

---

### 8. API ENDPOINTS

**Main Query Endpoint**:
- `POST /dev1/extension2v1/aiapi/api_opus/api/query.php`
  - Body: `{ user_content, system_prompt, providers: [], model_PROVIDER }`
  - Returns: `{ success, query_id, responses: { provider_response, ... }, total_cost }`

**Provider List Endpoint**:
- `GET /dev1/extension2v1/aiapi/api_opus/api/query.php?action=providers`
  - Returns: `{ success, providers: { claude: { name, models, default_model, pricing, ... }, ... } }`

---

### RECOMMENDATION FOR UPDATE

To update all models to **Claude Opus 4.6** and latest versions:

**Files to update**:
1. `/extension2v1/aiapi/api_opus/config/api_keys.php` - Change default models
2. `/extension2v1/public/thread_view.php` - Update MODEL_LIMITS if new context windows
3. `/extension2v1/config/config.php` - Update CLAUDE_MODEL constant
4. (Optional) `/extension2/aiapi/api_opus/config/api_keys.php` - Keep in sync or deprecate

**Key model IDs to use**:
- `claude-opus-4-6` (when available) or latest Opus release
- Check Anthropic's model list for exact version strings

All file paths are absolute paths as requested.

agentId: a355fa1 (for resuming to continue this agent's work if needed)
<usage>total_tokens: 64207
tool_uses: 28
duration_ms: 64355</usage>

Prompt:
Explore the AI proxy configuration at /var/www/mssql.danmarcrm.com/dev1/extension2v1/ and /var/www/mssql.danmarcrm.com/dev1/extension2/ with "very thorough" thoroughness.

I need to understand:

1. **AI proxy paths**: Look at `aiapi/api_opus/` and `aiapi/api_codex51/` - what models/providers are configured? What model versions are currently set?

2. **Provider configuration in thread_view.php**: Search for where AI providers and models are defined in the thread_view.php UI. What models/versions are listed in dropdowns?

3. **MODEL_LIMITS in thread_view.php**: What model limits are defined? What model names are used?

4. **Any config files**: Check `config/` directory for AI model configuration.

5. **The ai_opus proxy**: Look at the query.php file - how does it handle providers and models? Is there a providers.json or similar config file?

I want to know the exact current model versions so we can update them to the latest (Claude 4.6, etc).


Excellent! Now I have gathered comprehensive information. Let me provide a detailed report of my exploration:

## THOROUGH EXPLORATION REPORT: Extension2v1 Email Intelligence System

### 1. DASHBOARD MAIN PAGE (index.php + app.js)

**HTML Structure & Display:**
- **Contacts Tab:** Displays paginated table with columns:
  - Contact name (clickable to open modal)
  - Type (Client/Supplier/Other)
  - Email count (links to emails tab)
  - Relationship health score
  - Risk level
  - Last contact date
  - Actions (View, Edit, Delete)
- **Threads Tab:** Displays thread list with:
  - Thread subject (clickable to open thread_view.php)
  - Contact name
  - Email count
  - First date, Last date
  - Inbound/Outbound counts
  - Analysis status (Analyzed/Pending)

**Contacts Loading (app.js):**
- `loadContacts()` calls `api.php?action=contacts`
- Parameters: `page`, `limit` (default 10), `search`, `type` (filter by client/supplier)
- Sorted by name or last_contact date
- No explicit "last activity" date column in contacts list, but contact profiles have `last_contact` field

**Threads Loading:**
- `loadEmails()` calls `api.php?action=threads`
- Shows `first_date` and `last_date` for thread activity tracking
- Status visible (analyzed/pending analysis)

**Existing Delete UI:**
- Contacts have "Delete" button in actions column
- AI Thread Analysis section is HIDDEN (`display:none` at line 136)
- Filters have delete/remove buttons

**Floating AI Chat Panel:**
- Multi-provider/model selector (Claude, OpenAI, Gemini, Grok, DeepSeek, etc.)
- 5 AI agents: General, Quote Analyst, Deception Detector, Contact Profiler, Email Composer
- Context builder to add contacts/threads
- Token budget management with warnings

---

### 2. API ENDPOINTS (api.php)

**Key Actions (70+ total endpoints):**

**Contacts/Profiles:**
- `contacts` - List with pagination
- `contact` - Single contact detail
- `contact_profile` - Profile data
- `build_profile` - Build AI profile
- `update_contact` - Update contact data
- `delete_contact` - DELETE endpoint (search shows none, but pattern exists)
- `analyze_contact_full` - Full analysis
- `analyze_contact_threads` - Thread analysis per contact

**Threads:**
- `threads` - List threads
- `thread` - Single thread detail
- `thread_for_ai` - Get thread with AI context
- `thread_participants` - Participant info
- `sync_thread` - **IMPORT/SYNC mechanism** (POST, multipart or JSON)
- `save_gmail_thread` - Alternative save method (POST)
- `analyze_thread` - Analyze single thread

**AI & Responses:**
- `ai_chat` - Chat endpoint (multimodal multi-provider)
- `ai_contact_memories` - Get contact memories
- `ai_contact_memory_add` - Add memory
- `ai_contact_memory_delete` - Delete memory
- `save_ai_response` - Save AI response
- `get_ai_response` - Retrieve response
- `list_ai_responses` - List responses
- `log_ai_debug` - Debug logging

**Deletion Endpoints Found:**
- `remove_filter` - Delete email filter
- `gmail_account_remove` - Remove Gmail account
- `delete_important_context` - Delete stored context
- `ai_contact_memory_delete` - Delete contact memory
- `ai_chat_session_delete` - Delete chat session

**Thread Import Flow:**
- **Primary:** `sync_thread` (POST with thread_id or message_id)
  - Resolves URL-style thread IDs (e.g., `FMfcgz...`) to short hex IDs (e.g., `19bd4f343ca15018`)
  - Uses ThreadIdCache for caching resolutions
  - Fetches from Gmail API
  - Saves emails to DB with contact creation
  - Creates/updates `thread_analysis` records
- **Alternative:** `save_gmail_thread` (POST with pre-fetched emails and thread_id)

---

### 3. QueryAdapter.php METHODS

**Contacts:**
- `getContactsWithProfiles()` - Paginated list with sorting (MongoDB or SQL)
- `getContactWithDetails()` - Single contact with recent emails, quotes, profiles
- No explicit `deleteContact()` method found in code

**Threads:**
- `getThreads()` - Paginated list with summary info
- `getThreadDetails()` - Full thread with all emails and analysis
- `getThreadParticipants()` - Extract and enrich participant info
- `getThreadsWithContact()` - Filter by contact

**Last Activity Tracking:**
- Contact profiles store `last_contact` field
- Threads track `first_date` and `last_date`
- Emails have `date` field
- No explicit "last activity" rollup visible in contacts list

**No Delete Methods** found in QueryAdapter for contacts/threads/responses (likely handled directly in api.php or planned)

---

### 4. MongoDB COLLECTIONS

**Structure (from MongoDatabase.php):**

Core Collections:
- `contacts` - Email contacts with profiles
- `emails` - Email messages with thread_id references
- `email_analysis` - AI analysis per email
- `contact_profiles` - Contact behavioral profiles
- `thread_analysis` - Thread-level analysis
- `quotes` - Pricing/quote records
- `ai_chat_sessions` - Chat history
- `ai_contact_memory` - Stored facts about contacts
- `ai_query_responses` - Saved AI responses

Thread-Related Fields:
- `emails.thread_id` - Gmail thread ID (short hex or long URL)
- `emails.contact_id` - Link to contacts collection
- `thread_analysis.thread_id` - Primary key
- `ai_query_responses.thread_ids` - Array of thread IDs for context

**Key Indexes:**
- `emails.thread_id` (compound with date)
- `thread_analysis.thread_id` (unique)
- `contacts.email` (unique)

**Available Methods:**
- `insert()`, `insertOrUpdate()`, `update()`, `delete()`
- `findAll()`, `findOne()`, `count()`, `aggregate()`
- All with automatic timestamp tracking

---

### 5. product_search.php

**File Exists:** YES - Full feature at `/public/product_search.php`

**Purpose:**
- Advanced product search dashboard for Amazon/AliExpress
- Smart IP rating filters (IP65, IP67, IP68, handles format variations)
- Length filters (5m, 10m+, etc.)
- Custom filters for COB type, wattage, voltage
- AI recommendations (Best Value, Top Rated, Recommended)
- Search history and saved products

**Technologies:**
- AI-powered product analysis
- Multi-site scraping (Amazon, AliExpress)
- Custom filter system extensible

---

### 6. THREAD SYNC MECHANISM

**Chrome Extension → Server Flow:**

**Entry Point (contentScript.js):**
- Monitors gmail.com for expanded emails
- Polls every 2 seconds for new messages
- Extracts: thread ID, message ID, subject, sender, body
- Sends to `sync_thread` API endpoint

**Resolution Chain (sync_thread in api.php, lines 1843-2105):**

**Priority 0:** Check ThreadIdCache
- URL-style IDs (e.g., `FMfcgz...`) cached in `/cache/thread_ids/` as JSON
- Fast lookup if already resolved

**Priority 1:** Use message_id (most reliable)
- Browser extracts DOM message ID (#msg-f:12345678)
- Converts decimal to hex for Gmail API
- Calls `GmailClient->getMessage($hexId)`
- Returns REAL `thread_id` from API
- Caches resolution for future use

**Priority 2:** Direct thread fetch
- Use provided thread_id with `GmailClient->getThread($threadId)`
- May fail if ID is from URL (not API format)

**Priority 3:** Fallback to search
- If thread fetch fails and subject exists
- Search by subject with `GmailClient->searchThreads()`
- Pick thread with most messages
- Cache the resolution

**Database Saving (lines 1972-2105):**
- For each email in thread:
  - Extract sender email/name
  - Find or CREATE contact record
  - Save email with: `gmail_id`, `thread_id`, `contact_id`, subject, body, date, direction
  - Store `thread_analysis` record with metadata

**Return Value:**
```json
{
  "success": true,
  "thread_id": "19bd4f343ca15018",
  "emails_saved": 3,
  "contact_id": 42
}
```

---

### 7. THREAD ID = 19bd4f343ca15018

**Discovery:**
- Found in cache: `/cache/thread_ids/a81b8856dc311b5f081f88d69b34a5f9.json`
- Long ID maps to: `FMfcgzQfBQKNtbVswrwTbGgRpjklpksq` (URL format)
- Message ID: Same as short_id
- Subject: "Această intervenție nu poate fi amânată." (Romanian)
- Created: 2026-01-19 17:06:35
- Expires: 2026-02-18 17:06:35 (30-day cache TTL)

**How Created:**
1. Extension detected email in Gmail with URL thread ID
2. Called `sync_thread` endpoint
3. Extension provided message ID from DOM
4. API converted message ID, fetched from Gmail API
5. Resolved to short hex ID: `19bd4f343ca15018`
6. Cached mapping in `/cache/thread_ids/{hash}.json`
7. Emails imported to DB with this thread_id
8. `thread_analysis` record created for analysis tracking

---

### 8. SYNC MECHANISM COMPLETE PICTURE

**Three Sync Modes:**

1. **Chrome Extension (Real-time):**
   - User clicks email in Gmail
   - Extension captures thread data
   - Calls `sync_thread` API
   - Async resolution of thread IDs
   - Auto-creates contacts and stores emails

2. **Manual Sync (Dashboard):**
   - User clicks "Sync Now" button
   - Triggers `api.php?action=sync`
   - Uses EmailSync class
   - Syncs all active Gmail accounts incrementally
   - Updates `sync_status` table

3. **Batch Import:**
   - `save_gmail_thread` endpoint
   - Pre-fetched thread data
   - Useful for bulk migration

**Key Classes:**
- `EmailSync` - Handles full/incremental sync from Gmail API
- `GmailClient` - Gmail API wrapper with thread/message methods
- `ThreadIdCache` - In-process cache + file-based persistence
- `QueryAdapter` - Routes data to MongoDB/MySQL

---

## SUMMARY TABLE

| Aspect | Finding |
|--------|---------|
| **Dashboard Contacts Display** | Table: Name, Type, Email Count, Health, Risk, Last Contact, Actions |
| **Dashboard Threads Display** | Table: Subject, Contact, Email Count, Dates, Inbound/Outbound, Analysis Status |
| **Last Activity Tracking** | Thread: first_date/last_date. Contact: last_contact field (not prominently displayed) |
| **Delete Endpoints** | remove_filter, gmail_account_remove, delete_important_context, ai_memory_delete, ai_session_delete |
| **Thread Import** | Via `sync_thread` POST endpoint with message_id resolution, 3-priority fallback chain |
| **Product Search** | Full featured: smart filters, AI recommendations, multi-site support |
| **MongoDB Collections** | 20+ collections; emails/threads linked via thread_id; contact_id references |
| **Thread ID Resolution** | URL ID (FMfcgz...) → Message ID (decimal) → Hex ID (19bd4f...) via Gmail API |
| **Cache Mechanism** | ThreadIdCache: In-memory + `/cache/thread_ids/{hash}.json` with 30-day TTL |
| **Most Recent Thread** | 19bd4f343ca15018: Romanian email, created 2026-01-19, cached 30 days |

---

All file paths are absolute paths as found at `/var/www/mssql.danmarcrm.com/dev1/extension2v1/`

agentId: a07034b (for resuming to continue this agent's work if needed)
<usage>total_tokens: 97098
tool_uses: 33
duration_ms: 90540</usage>

Prompt:
Explore the extension2v1 project at /var/www/mssql.danmarcrm.com/dev1/extension2v1/ with "very thorough" thoroughness.

I need to understand:

1. **Dashboard main page (index.php + app.js)**: How contacts and threads are loaded, displayed, sorted. Look at the HTML structure for contacts list and threads list. What columns/info are shown? Is there a "last activity" date? Are there any delete buttons currently? Any existing filter UI?

2. **API endpoints (api.php)**: What actions exist for contacts, threads, and AI responses? Look for any existing delete endpoints. Look for sync-related endpoints.

3. **QueryAdapter.php**: What methods exist for contacts, threads? Is there a method to delete contacts/threads/AI responses? How is "last activity" tracked?

4. **MongoDB collections**: What collections are used? What fields do they have? Look at MongoDatabase.php for available methods.

5. **product_search.php**: Does this file exist? What does it do?

6. **Thread sync mechanism**: How do email threads get into the system? Is it via Chrome extension? Where is the sync logic?

7. **The thread at thread_id=19bd4f343ca15018**: Can we find how threads get created/imported?

Focus on extension2v1 directory.


Now let me compile a comprehensive report of my findings:

## COMPREHENSIVE EXPLORATION REPORT: /var/www/mssql.danmarcrm.com/dev1/extension2v1/

---

### 1. CONTACT NAME RESOLUTION FOR THREADS

**Location:** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/src/QueryAdapter.php`

**Methods:**
- **`getThreadsMongo()` (lines 581-722)** - Uses MongoDB aggregation pipeline
- **`getThreadsSQL()` (lines 514-579)** - Uses SQL subqueries

**How It Works:**

Both methods attempt to find the "most relevant" contact for a thread, but they do this differently:

**MongoDB Approach (getThreadsMongo):**
1. Groups all emails by thread_id, collecting contact info in `all_contacts` array
2. Post-processes to find most frequent contact:
   - Skips the user's own email (matches `$userEmail`)
   - Weights **inbound** emails 2x higher than outbound (line 672: `$contactCounts[$cid] += 2`)
   - Weights outbound emails 1x (line 674: `$contactCounts[$cid] += 1`)
3. Selects contact with highest count (line 681: `array_key_first($contactCounts)`)
4. Falls back to first non-null contact if no external sender (lines 684-691)
5. Batch-looks up contact names at end (lines 702-715)

**SQL Approach (getThreadsSQL):**
1. Uses subquery to find contact_id for most frequent **inbound** sender (lines 551-556):
   ```sql
   SELECT e2.contact_id FROM emails e2
   WHERE e2.thread_id = e.thread_id
   AND e2.direction = 'inbound'
   AND LOWER(e2.from_email) != ?
   GROUP BY e2.contact_id
   ORDER BY COUNT(*) DESC LIMIT 1
   ```
2. Second subquery gets contact name the same way (lines 557-563)

**The Issue:**
- Both methods only look at **external** senders (not the user), but the weighting is slightly different
- MongoDB actively filters `if (!$cid || $email === $userEmail) continue;` (line 668)
- SQL uses `AND LOWER(e2.from_email) != ?` with the user email as parameter (line 554)
- **Problem:** If a thread has MULTIPLE external contacts with equal email counts, the selection becomes ambiguous. The "most frequent" logic may pick the first one encountered in aggregation order, not necessarily the primary contact.

---

### 2. HOW THREADS GET IMPORTED/SYNCED

**Main Entry Point:** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php`

**Three Sync Mechanisms:**

#### A. **Full Background Sync** (Lines 864-906: `case 'sync'`)
- **Endpoint:** `api.php?action=sync`
- **Method:** POST
- **Parameters:**
  - `account_id` (optional) - specific Gmail account
  - `all` (boolean) - sync all accounts
  - `mode` (string) - "incremental" or "full"
  - `max` (integer) - max emails to fetch (default 100)

**Flow:**
```
GmailClient → EmailSync::syncAllAccounts() or incrementalSync()
                ↓
            Fetch emails from Gmail API
                ↓
            Save to emails table with contact_id
                ↓
            Auto-create contacts if needed
```

#### B. **Server-Side Thread Sync** (Lines 1843-2050: `case 'sync_thread'`)
- **Endpoint:** `api.php?action=sync_thread`
- **Method:** POST (JSON)
- **Parameters:**
  - `thread_id` - Gmail thread ID (URL-style: "FMfcgz...")
  - `subject` - Subject line (fallback search)
  - `message_id` - Specific message ID in thread (NEW)

**Resolution Priority:**
1. **Check cache** for URL-style thread ID (lines 1870-1877)
2. **Use message_id to get REAL thread ID** from Gmail API (lines 1897-1919) - Most reliable
3. **Direct thread fetch** with resolved thread ID (lines 1921-1930)
4. **FALLBACK: Search by subject** if direct lookup fails (lines 1932-1966)

**Threading Resolution Logic:**
```
message_id (decimal) → Convert to hex → gmail.getMessage()
                    → Extract 'thread_id' (REAL Gmail ID)
                    ↓
              [Cache the mapping: URL ID → Real ID]
                    ↓
              gmail.getThread(realThreadId)
                    ↓
              Save all emails + create contacts
```

**Storage (lines 1972-2050):**
- For each email in thread:
  - Find or create contact by email
  - Store email with `contact_id`, `thread_id`
  - Mark thread for analysis if needed

#### C. **Chrome Extension Integration** (`/chrome-extension/background.js`)

**API Actions:**
- **`syncThread(params)`** (line 63-71) - Server-side sync
  ```javascript
  {
    thread_id: "FMfcgz...",  // URL ID
    subject: "...",
    message_id: "#msg-f:12345"  // DOM element ID
  }
  ```

- **`saveThread(params)`** (line 74-81) - Legacy DOM scraping
  - Less reliable, pre-dates proper Gmail API

**Flow:** Extension → POST to `sync_thread` action → Gmail API fetch → Database save

---

### 3. THREAD ORIGIN TRACKING

**FINDING:** No explicit `thread_origin` or `sync_source` field in database schema.

However, tracking is implicit:

**Methods to determine origin:**
1. **From `thread_analysis.analyzed_at`** - If analyzed, you can infer it was synced
2. **From `emails.is_analyzed`** - Tells if email was processed by AI
3. **From `api_logs` table** - Logs which action triggered sync (sync vs sync_thread)
4. **Implicit:** All threads accessible in the system either came from:
   - Background incremental/full sync (`EmailSync::incrementalSync()` or `fullSync()`)
   - Manual thread sync via Chrome extension (`sync_thread` endpoint)

**No audit trail** for "which sync method brought in this thread" - would need to add a field like:
```php
'origin' => 'background_sync|manual_sync|extension_sync',
'sync_timestamp' => date('Y-m-d H:i:s'),
'sync_source_user' => $email_address  // who triggered it
```

---

### 4. EMAIL SYNC BY DOMAIN

**Search Results:** No existing domain-based sync functionality found.

**Current sync scope:**
- By account (GmailClient can handle multiple accounts)
- By email count limit (max parameter)
- By sync mode (incremental = only new, full = all)

**NOT supported:**
- Sync only emails TO/FROM specific domain
- Filter by email address during sync
- Selective contact-based sync

**To add domain sync:**
Would require modifying `EmailSync` class to:
```php
public function syncByDomain(string $domain, $mode = 'incremental') {
    // Query Gmail API with: from:@domain.com OR to:@domain.com
    // Process results, store with domain metadata
}
```

---

### 5. SAVED RESPONSES (AI) STORAGE

**Collection:** `ai_query_responses` (MongoDB)

**Location:** `/var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php` (lines 4746-4866)

**Endpoints:**
- **`save_ai_response`** (POST, lines 4746-4795)
- **`get_ai_response`** (GET, lines 4839-4866)
- **`list_ai_responses`** (GET, lines 4871+)

**Document Structure:**
```php
[
    '_id'                => ObjectId,          // MongoDB auto-generated
    'thread_ids'         => [...],             // Array of resolved thread IDs
    'contact_id'         => int|null,          // Optional contact reference
    'question'           => string,            // What was asked
    'context'            => string|null,       // Context used
    'content_mode'       => string,            // "full" | other modes
    'content_sent'       => string|null,       // Actual context sent to AI
    'content_length'     => int,               // Bytes of context
    'estimated_tokens'   => int,               // Token usage estimate
    'provider'           => string,            // "claude", "openai", etc.
    'model'              => string,            // "gpt-4o", "claude-sonnet", etc.
    'all_providers'      => [],                // List of all providers tried
    'query_id'           => string|null,       // Session/query identifier
    'response'           => string|null,       // AI response text
    'total_cost'         => float,             // Estimated cost
    'created_at'         => string             // "Y-m-d H:i:s"
]
```

**Query Filtering (lines 4882-4889):**
- Filter by `thread_ids` (single thread lookup)
- Filter by `contact_id`
- Paginated with limit/offset

---

### 6. AI CHAT SESSIONS (Alternative Response Storage)

**Collection:** `ai_chat_sessions` (MongoDB)

**Endpoints:**
- **`ai_chat_sessions`** - List sessions
- **`ai_chat_session`** - Load specific session
- **`ai_chat_session_delete`** - Delete session

**Document Structure:**
```php
[
    'session_id'           => string,    // UUID
    'title'                => string,    // Session name
    'agent'                => string,    // "general", "quote_analyst", etc.
    'provider'             => string,    // Last used provider
    'model'                => string,    // Last used model
    'contact_id'           => int|null,  // Associated contact
    'contact_name'         => string|null,
    'context_thread_ids'   => [],        // Threads included as context
    'messages'             => [          // Conversation history
        {
            'role'    => "user|assistant",
            'content' => string
        }
    ],
    'created_at'           => string,    // "Y-m-d H:i:s"
    'updated_at'           => string     // Last message timestamp
]
```

**Agent Presets (lines 2334-2355):**
- `general` - Basic business intelligence
- `quote_analyst` - Pricing/negotiation analysis
- `deception_detector` - Contradiction/fraud detection
- `contact_profiler` - Behavioral analysis
- `email_composer` - Reply generation

**Auto-Memory Feature (lines 2493-2495):**
- Agents can add facts about contacts automatically
- Format: `[MEMORY]fact[/MEMORY]`
- Stored in `ai_contact_memory` collection

---

### 7. CONTACT MEMORY STORAGE

**Collection:** `ai_contact_memory` (MongoDB)

**Endpoints:**
- **`ai_contact_memories`** (GET, lines 5559-5569)
- **`ai_contact_memory_add`** (POST, lines 5574-5596)
- **`ai_contact_memory_delete`** (POST, lines 5601-5620)

**Document Structure:**
```php
[
    'contact_id'  => int,
    'memories'    => [
        {
            'id'         => string,     // uniqid('mem_', true)
            'fact'       => string,     // The stored fact
            'source'     => string,     // "manual" | "ai_extracted"
            'created_at' => string      // "Y-m-d H:i:s"
        }
    ],
    'updated_at'  => string
]
```

**Injection During Chat (lines 2454-2458):**
- Loaded when `contact_id` is provided in chat request
- Prepended to system message as "KNOWN FACTS ABOUT THIS CONTACT"
- Available to all agents for context

---

### SUMMARY OF KEY ISSUES

| Issue | Status | Impact |
|-------|--------|--------|
| **Contact name resolution ambiguous** | ⚠ Potential issue | Multiple external senders with equal counts pick first match |
| **No thread origin tracking** | ❌ Missing | Can't audit which sync method added thread |
| **No domain-based sync** | ❌ Missing | Can't selectively sync by email domain |
| **"Etienne Turner" linkage problem** | 🤔 Unclear cause | Likely QueryAdapter contact resolution, not schema issue |
| **Chrome extension → API flow** | ✅ Works | `sync_thread` endpoint properly resolves thread IDs |
| **AI response persistence** | ✅ Works | Both `ai_query_responses` and `ai_chat_sessions` available |
| **Contact memory** | ✅ Works | Can inject/extract facts automatically |

---

**Files Analyzed:**
- `/var/www/mssql.danmarcrm.com/dev1/extension2v1/src/QueryAdapter.php` (1468 lines)
- `/var/www/mssql.danmarcrm.com/dev1/extension2v1/src/ThreadAnalyzer.php` (1632 lines)
- `/var/www/mssql.danmarcrm.com/dev1/extension2v1/public/api.php` (5600+ lines)
- `/var/www/mssql.danmarcrm.com/dev1/extension2v1/chrome-extension/background.js` (200+ lines)

agentId: adad964 (for resuming to continue this agent's work if needed)
<usage>total_tokens: 99113
tool_uses: 26
duration_ms: 112640</usage>

Prompt:
Explore /var/www/mssql.danmarcrm.com/dev1/extension2v1/ with "very thorough" thoroughness.

I need to understand:

1. **Contact name resolution for threads**: The user says "not all email threads should be linked to Etienne Turner". Look at QueryAdapter.php methods `getThreadsMongo()` and `getThreadsSQL()` to see how thread contact names are resolved. This was supposedly fixed to find the most frequent inbound sender, but may still have issues.

2. **How threads get imported/synced**: Look at api.php for any "sync" or "import" or "save_thread" or "process_email" actions. How does data get from Gmail into the system? Look at the Chrome extension integration points.

3. **The Chrome extension**: Look at the api.php endpoints that the Chrome extension calls. Search for endpoints that create/save email threads.

4. **Thread origin tracking**: Is there a field that tracks WHERE a thread came from (manual sync vs auto-import)?

5. **Email sync by domain**: Is there any existing functionality to sync by domain or email address? Search for "domain" or "sync" in the codebase.

6. **Saved responses (AI)**: Look at the `ai_query_responses` or similar collection - what fields does it have? How are AI responses stored and retrieved?


Excellent exploration results. Now I have a clear picture. Let me now ask the user some clarification questions before creating the plan, since there are several ambiguities.

Let me think about what I need to clarify:

1. **Products tab** - the user asked if it was implemented by mistake. It's a full product search dashboard. I should ask if they want it removed or kept.

2. **Sync by domain** - This is a major new feature. Need to understand: should this be from the dashboard UI, or from the Chrome extension, or both?

3. **Chart functionality for Two-Round AI** - This is quite complex (balloons, arrows, events).

For the chart library, I need to confirm what approach they prefer. I also found the current AI model IDs and should verify which versions they want to use. The "Etienne Turner" bug fix was already applied but might be showing cached data or have edge cases I need to investigate. The unwanted threads were likely synced automatically when the user had the Chrome extension running and viewed those pages. Let me start by asking these clarifying questions before launching the plan.


Good exploration results. I have several questions to clarify before finalizing the plan:


AskUserQuestion

Question: The Products tab (product_search.php) is a full product search dashboard with Amazon/AliExpress integration, smart filters, and AI recommendations. Should I remove it entirely, hide it, or keep it but fix the Access Denied issue?

Choices:
Delete product_search.php and remove the Products tab from navigation
Remove from navigation but keep the file for potential future use
Fix the Access Denied issue and keep the Products tab functional

Question: For the 'sync by domain/email' feature, where should users trigger this from?

Choices:
Add a sync panel in the dashboard where users enter domains/emails to sync
Both: dashboard UI for bulk sync + Chrome extension for on-the-fly domain sync
Dashboard UI that queries Gmail API directly to find and import all threads matching a domain/email

Question: For the Two-Round AI chart/diagram feature, what visualization approach do you prefer?

Choices:
Text-based diagrams (flowcharts, mind maps) rendered as SVG. AI generates Mermaid syntax from responses.
Fully interactive force-directed graphs with draggable nodes, zoom, pan. More complex but very visual.
Lightweight balloon/card layout with CSS arrows. No external library needed. Fast to implement.
Defer the chart feature to a later phase, focus on the other tasks first

Question: The unwanted threads (like 19bd4f343ca15018) appear to have been synced by your Chrome extension when you viewed emails in Gmail. The extension auto-syncs every email you open. Should I add a setting to disable auto-sync (only sync on manual click)?

Choices:
Add a toggle in the extension to disable auto-sync. Only sync when user clicks a 'Sync this thread' button.
Keep current behavior but add bulk delete to clean up unwanted threads
Add manual-only toggle AND bulk delete for cleanup


User has answered your questions: "The Products tab (product_search.php) is a full product search dashboard with Amazon/AliExpress integration, smart filters, and AI recommendations. Should I remove it entirely, hide it, or keep it but fix the Access Denied issue?"="Hide it (keep code)", "For the 'sync by domain/email' feature, where should users trigger this from?"="Dashboard with Gmail API", "For the Two-Round AI chart/diagram feature, what visualization approach do you prefer?"="D3.js interactive", "The unwanted threads (like 19bd4f343ca15018) appear to have been synced by your Chrome extension when you viewed emails in Gmail. The extension auto-syncs every email you open. Should I add a setting to disable auto-sync (only sync on manual click)?"="Both options". You can now continue with the user's answers in mind.

Question: The Products tab (product_search.php) is a full product search dashboard with Amazon/AliExpress integration, smart filters, and AI recommendations. Should I remove it entirely, hide it, or keep it but fix the Access Denied issue?

Choices:
Delete product_search.php and remove the Products tab from navigation
Remove from navigation but keep the file for potential future use
Fix the Access Denied issue and keep the Products tab functional

Question: For the 'sync by domain/email' feature, where should users trigger this from?

Choices:
Add a sync panel in the dashboard where users enter domains/emails to sync
Both: dashboard UI for bulk sync + Chrome extension for on-the-fly domain sync
Dashboard UI that queries Gmail API directly to find and import all threads matching a domain/email

Question: For the Two-Round AI chart/diagram feature, what visualization approach do you prefer?

Choices:
Text-based diagrams (flowcharts, mind maps) rendered as SVG. AI generates Mermaid syntax from responses.
Fully interactive force-directed graphs with draggable nodes, zoom, pan. More complex but very visual.
Lightweight balloon/card layout with CSS arrows. No external library needed. Fast to implement.
Defer the chart feature to a later phase, focus on the other tasks first

Question: The unwanted threads (like 19bd4f343ca15018) appear to have been synced by your Chrome extension when you viewed emails in Gmail. The extension auto-syncs every email you open. Should I add a setting to disable auto-sync (only sync on manual click)?

Choices:
Add a toggle in the extension to disable auto-sync. Only sync when user clicks a 'Sync this thread' button.
Keep current behavior but add bulk delete to clean up unwanted threads
Add manual-only toggle AND bulk delete for cleanup


Now let me design the implementation plan with a Plan agent.


Task

Design implementation plan

Prompt:
Design a detailed implementation plan for the following tasks in the Email Intelligence System at /var/www/mssql.danmarcrm.com/dev1/extension2v1/

## Context
This is a PHP/MongoDB web app with a dashboard (index.php + app.js), API (api.php), data layer (QueryAdapter.php), and a thread view page (thread_view.php). Chrome extension syncs Gmail threads. AI proxy at aiapi/api_opus/.

## Tasks (in priority order)

### TASK 1: Delete Functionality
Add ability to delete:
- **Contacts**: Already has a Delete button in dashboard UI. Need API endpoint `delete_contact` in api.php + QueryAdapter method. Must also delete associated emails, thread_analysis, contact_profiles, ai_contact_memory for that contact.
- **Email Threads**: Add delete button to threads list. API endpoint `delete_thread` + QueryAdapter. Must delete all emails with that thread_id, thread_analysis, ai_query_responses referencing that thread.
- **AI Responses**: Add delete button next to saved AI responses in thread_view.php. API endpoint `delete_ai_response`. Delete from ai_query_responses collection.

Files: api.php, QueryAdapter.php, app.js, index.php, thread_view.php

### TASK 2: Sorting by Last Activity
- Contacts list: Add sort by `last_contact` date (from contact profiles or max email date)
- Threads list: Add sort by `last_date` (already tracked in thread aggregation)
- Add sort dropdown/buttons in the UI for both tabs

Files: app.js, index.php, api.php (may need sort param support), QueryAdapter.php

### TASK 3: Filters
- **Contacts tab**: Add filters for contact type (client/supplier/other), search by name/email, last activity date range
- **Threads tab**: Add filters for contact name, date range, email count range, analysis status
- **Last Activity date filter**: Date range picker for both tabs
- Add filter UI section above each table

Files: app.js, index.php

### TASK 4: Fix "Etienne Turner" Thread Linkage
The contact name resolution was fixed in QueryAdapter.php but may still have issues:
- MongoDB `getThreadsMongo()` collects all_contacts, weights inbound 2x, picks most frequent
- But if contact_id is NULL or email matches user, it skips — edge case: if ALL emails in thread are from user (outbound only), falls back to first contact
- Need to verify the fix works and potentially handle edge cases

Files: QueryAdapter.php

### TASK 5: Sync by Domain/Email Address
New feature: Dashboard UI panel where user enters a domain (e.g. delta-engineering.be) or email address. System queries Gmail API to find all threads involving that domain/email, then imports them.

Implementation:
- New UI section in dashboard or modal
- New API endpoint `sync_by_domain` that:
  1. Uses GmailClient to search: `from:@domain.com OR to:@domain.com` (or specific email)
  2. Lists matching threads with preview (subject, date, count)
  3. User selects which to import (or "Import All")
  4. Imports selected threads using existing sync_thread logic
- Need two-step flow: search → preview → import

Files: api.php, index.php, app.js, GmailClient.php (may need search method)

### TASK 6: Bulk Delete Threads by Email Address
- Add ability to delete all threads for a specific email/domain
- UI: In contacts list or a cleanup tool
- API: `delete_threads_by_email` — finds all emails from that address, gets unique thread_ids, deletes all data

Files: api.php, QueryAdapter.php, app.js, index.php

### TASK 7: Chrome Extension Manual-Only Mode
- Add toggle in Chrome extension popup/options for "Auto-sync" vs "Manual sync only"
- In manual mode, show a "Sync this thread" button overlay in Gmail
- Store preference in chrome.storage.local
- Extension files are at /Users/dan/Documents/extension2/extension2v1/chrome-extension (local Mac) — we can only prepare the code changes

NOTE: Chrome extension is on user's local Mac, not this server. We should note what needs to change but can't edit those files directly.

### TASK 8: Two-Round AI D3.js Chart
- After Round 2 (or any AI response), add "Generate Chart" button
- AI generates structured JSON (entities, relationships, events)
- D3.js force-directed graph renders: nodes as balloons (color-coded by type), arrows showing relationships, labels
- Interactive: drag, zoom, pan, click for details

Files: thread_view.php (inline JS + D3.js CDN)

### TASK 9: Hide Products Tab
- Remove Products tab from navigation in index.php
- Keep product_search.php file intact

Files: index.php

### TASK 10: Update AI Model Versions
Update to latest models:
- Claude: Add `claude-opus-4-6`, `claude-sonnet-4-6` (current has claude-sonnet-4-5-20250929)
- Other providers: verify current versions

Files to update:
- /extension2v1/aiapi/api_opus/config/api_keys.php — provider models list + defaults
- /extension2v1/public/thread_view.php — MODEL_LIMITS constant
- /extension2v1/config/config.php — CLAUDE_MODEL constant
- Also check /extension2/aiapi/api_opus/config/api_keys.php

Current model config in api_keys.php uses arrays like:
```php
'claude' => [
    'default_model' => 'claude-sonnet-4-5-20250929',
    'models' => ['claude-sonnet-4-5-20250929', 'claude-3-5-sonnet-20241022', ...]
]
```

## Architecture Patterns to Follow
- Use `MongoDatabase::insertOrUpdate()` for upserts (NOT `upsert()`)
- Use `QueryAdapter` for all data access (NOT raw SQL)
- AI proxy models keyed by provider: `[$provider => $model]`
- MongoDB `delete()` method available on MongoDatabase class
- Node.js on server is v10.19 — can't use for JS syntax checks
- `ThreadAnalyzer::stripQuotedContent()` for email body processing

## Available MongoDB Methods (MongoDatabase.php)
- `insert($collection, $data)`
- `insertOrUpdate($collection, $filter, $data)`
- `update($collection, $filter, $data)`
- `delete($collection, $filter)`
- `findAll($collection, $filter, $options)`
- `findOne($collection, $filter)`
- `count($collection, $filter)`
- `aggregate($collection, $pipeline)`

## Existing API patterns
- JSON responses via `jsonResponse(['success' => true, ...])`
- Error handling via `jsonResponse(['success' => false, 'error' => '...'])`
- POST data via `$input = json_decode(file_get_contents('php://input'), true)`
- GET params via `$_GET['param']`

Please design a detailed, step-by-step plan with specific code changes needed for each task. Group related changes by file to minimize edits. Prioritize the tasks that are quickest wins first.


Design implementation plan