From 6fda00e86410a6819e74239e1f34706267030363 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Mon, 26 Jan 2026 22:52:49 -0500
Subject: [PATCH 01/10] Add Redis index signal and VSCode auth config options

Introduces a Redis pub/sub signal mechanism to trigger code indexing after bundle uploads, with a listener in watch_index.py that spawns ingest jobs. The VSCode extension now supports configuration for a dedicated auth backend URL and shared token, enabling non-interactive authentication flows for team deployments. Also bumps the extension version to 0.1.49.
---
 scripts/upload_service.py                     | 22 ++++++
 scripts/watch_index.py                        | 72 +++++++++++++++++++
 .../context-engine-uploader/auth_utils.js     | 53 +++++++++++---
 .../context-engine-uploader/package.json      | 14 +++-
 4 files changed, 150 insertions(+), 11 deletions(-)

diff --git a/scripts/upload_service.py b/scripts/upload_service.py
index 341f2cd5..e6f860d1 100644
--- a/scripts/upload_service.py
+++ b/scripts/upload_service.py
@@ -529,12 +529,32 @@ def validate_bundle_format(bundle_path: Path) -> Dict[str, Any]:
         raise ValueError(f"Invalid bundle format: {str(e)}")
 
 
+def _publish_index_signal(workspace_path: str, collection_name: Optional[str]) -> None:
+    """Publish a Redis signal to tell the watcher to index files after upload."""
+    try:
+        from scripts.workspace_state import _get_redis_client
+        rc = _get_redis_client()
+        if rc is None:
+            return
+        import json as _json
+        payload = _json.dumps({
+            "workspace_path": workspace_path,
+            "collection": collection_name,
+            "timestamp": datetime.now().isoformat(),
+        })
+        rc.publish("context-engine:index-signal", payload)
+        logger.info(f"[upload_service] Published index signal for {workspace_path} -> {collection_name}")
+    except Exception as e:
+        logger.debug(f"[upload_service] Failed to publish index signal: {e}")
+
+
 async def _process_bundle_background(
     workspace_path: str,
     bundle_path: Path,
     manifest: Dict[str, Any],
     sequence_number: Optional[int],
     bundle_id: Optional[str],
+    collection_name: Optional[str] = None,
 ) -> None:
     try:
         start_time = datetime.now()
@@ -563,6 +583,7 @@ async def _process_bundle_background(
         logger.info(
             f"[upload_service] Finished processing bundle {bundle_id} seq {sequence_number} in {int(processing_time)}ms"
         )
+        _publish_index_signal(workspace_path, collection_name)
     except Exception as e:
         logger.error(f"[upload_service] Error in background processing for bundle {bundle_id}: {e}")
     finally:
@@ -2012,6 +2033,7 @@ async def upload_delta_bundle(
                     manifest=manifest,
                     sequence_number=sequence_number,
                     bundle_id=bundle_id,
+                    collection_name=collection_name,
                 )
             )
 
diff --git a/scripts/watch_index.py b/scripts/watch_index.py
index 759c636a..8431451a 100644
--- a/scripts/watch_index.py
+++ b/scripts/watch_index.py
@@ -103,6 +103,76 @@ def get_collection() -> str:
     return default_collection_name()
 
 
+_INDEX_SIGNAL_CHANNEL = "context-engine:index-signal"
+_ingest_lock = threading.Lock()
+
+
+def _start_index_signal_listener(work_dir: str, default_collection: str) -> None:
+    """Listen for Redis pub/sub index signals from the upload service and spawn ingest_code."""
+    from scripts.workspace_state import _get_redis_client, _redis_state_enabled
+
+    if not _redis_state_enabled():
+        print("[index_signal] Redis not enabled, skipping signal listener")
+        return
+
+    def _listener():
+        while True:
+            try:
+                rc = _get_redis_client()
+                if rc is None:
+                    time.sleep(5)
+                    continue
+                pubsub = rc.pubsub()
+                pubsub.subscribe(_INDEX_SIGNAL_CHANNEL)
+                print(f"[index_signal] Subscribed to {_INDEX_SIGNAL_CHANNEL}")
+                for message in pubsub.listen():
+                    if message["type"] != "message":
+                        continue
+                    try:
+                        data = json.loads(message["data"])
+                    except Exception:
+                        continue
+                    workspace_path = data.get("workspace_path", "")
+                    collection = data.get("collection") or default_collection
+                    print(f"[index_signal] Received signal: workspace={workspace_path} collection={collection}")
+
+                    if not _ingest_lock.acquire(blocking=False):
+                        print("[index_signal] Ingest already running, skipping")
+                        continue
+                    try:
+                        from scripts.indexing_admin import spawn_ingest_code
+                        repo_name = None
+                        try:
+                            repo_name = _extract_repo_name_from_path(workspace_path)
+                        except Exception:
+                            pass
+
+                        root = workspace_path
+                        if not Path(root).is_absolute():
+                            root = str(Path(work_dir) / root)
+                        if not Path(root).exists():
+                            root = work_dir
+
+                        print(f"[index_signal] Spawning ingest_code: root={root} collection={collection}")
+                        spawn_ingest_code(
+                            root=root,
+                            work_dir=work_dir,
+                            collection=collection,
+                            recreate=False,
+                            repo_name=repo_name,
+                        )
+                    except Exception as e:
+                        print(f"[index_signal] Error spawning ingest: {e}")
+                    finally:
+                        _ingest_lock.release()
+            except Exception as e:
+                print(f"[index_signal] Listener error, reconnecting in 5s: {e}")
+                time.sleep(5)
+
+    th = threading.Thread(target=_listener, daemon=True, name="index-signal-listener")
+    th.start()
+
+
 def main() -> None:
     global _watcher_healthy, _watcher_started_at
     from datetime import datetime, timezone
@@ -251,6 +321,8 @@ def main() -> None:
     _watcher_healthy = True
     print("[health] Watcher is now healthy and monitoring for changes")
 
+    _start_index_signal_listener(str(ROOT), default_collection)
+
     try:
         while True:
             time.sleep(1.0)
diff --git a/vscode-extension/context-engine-uploader/auth_utils.js b/vscode-extension/context-engine-uploader/auth_utils.js
index 4fa3bb98..71e83670 100644
--- a/vscode-extension/context-engine-uploader/auth_utils.js
+++ b/vscode-extension/context-engine-uploader/auth_utils.js
@@ -240,19 +240,59 @@ async function runAuthLoginFlow(explicitBackendUrl, deps) {
     const settings = vscode.workspace.getConfiguration('contextEngineUploader');
     endpoint = (settings.get('endpoint') || '').trim();
   }
-  let backendUrl = explicitBackendUrl || endpoint;
+  const settings = vscode.workspace.getConfiguration('contextEngineUploader');
+  const configuredAuthBackendUrl = (settings.get('authBackendUrl') || '').trim();
+  const configuredAuthToken = (settings.get('authSharedToken') || '').trim();
+  
+  let backendUrl = explicitBackendUrl || configuredAuthBackendUrl || endpoint;
   if (!backendUrl) {
-    vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint).');
+    vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint or contextEngineUploader.authBackendUrl).');
     return;
   }
 
   try {
     const u = new URL(backendUrl);
-    backendUrl = `${u.protocol}//${u.host}`;
+    if (!backendUrl.includes('/upload') && !backendUrl.includes('/auth')) {
+      backendUrl = `${u.protocol}//${u.host}`;
+    }
   } catch (_) {
     backendUrl = backendUrl.replace(/\/+$/, '');
   }
 
+  const invocation = resolveBridgeCliInvocation();
+  if (!invocation) {
+    vscode.window.showErrorMessage('Context Engine Uploader: unable to locate ctxce CLI for auth.');
+    return;
+  }
+  const cwd = getWorkspaceFolderPath() || process.cwd();
+
+  if (configuredAuthToken) {
+    const args = [...invocation.args, 'auth', 'login'];
+    const env = {
+      ...process.env,
+      CTXCE_AUTH_BACKEND_URL: backendUrl,
+      CTXCE_AUTH_TOKEN: configuredAuthToken,
+    };
+    await new Promise(resolve => {
+      const child = spawn(invocation.command, args, { cwd, env });
+      attachOutput(child, 'auth');
+      child.on('error', error => {
+        log(`ctxce auth login (configured token) failed to start: ${error instanceof Error ? error.message : String(error)}`);
+        vscode.window.showErrorMessage('Context Engine Uploader: auth login failed to start. See output for details.');
+        resolve();
+      });
+      child.on('close', code => {
+        if (code === 0) {
+          vscode.window.showInformationMessage('Context Engine Uploader: auth login successful (using configured token).');
+        } else {
+          vscode.window.showErrorMessage(`Context Engine Uploader: auth login failed with exit code ${code}. See output for details.`);
+        }
+        resolve();
+      });
+    });
+    return;
+  }
+
   const mode = await vscode.window.showQuickPick(
     ['Token (shared dev token)', 'Username / password'],
     { placeHolder: 'Select Context Engine auth method' },
@@ -261,13 +301,6 @@ async function runAuthLoginFlow(explicitBackendUrl, deps) {
     return;
   }
 
-  const invocation = resolveBridgeCliInvocation();
-  if (!invocation) {
-    vscode.window.showErrorMessage('Context Engine Uploader: unable to locate ctxce CLI for auth.');
-    return;
-  }
-  const cwd = getWorkspaceFolderPath() || process.cwd();
-
   if (mode.startsWith('Token')) {
     const token = await vscode.window.showInputBox({
       prompt: 'Enter Context Engine shared auth token',
diff --git a/vscode-extension/context-engine-uploader/package.json b/vscode-extension/context-engine-uploader/package.json
index c80cba96..410c31ea 100644
--- a/vscode-extension/context-engine-uploader/package.json
+++ b/vscode-extension/context-engine-uploader/package.json
@@ -2,7 +2,7 @@
   "name": "context-engine-uploader",
   "displayName": "Context-Engine.AI",
   "description": "Supercharge your AI coding assistants with rich codebase context. Integrates with Claude Code, Windsurf, Augment, and more via MCP.",
-  "version": "0.1.48",
+  "version": "0.1.49",
   "publisher": "context-engine",
   "engines": {
     "vscode": "^1.85.0"
@@ -376,6 +376,18 @@
             "default": "http://localhost:8002/mcp",
             "order": 6,
             "description": "MCP server URL for memory/search."
+          },
+          "contextEngineUploader.authBackendUrl": {
+            "type": "string",
+            "default": "",
+            "order": 7,
+            "markdownDescription": "Auth backend URL for remote deployments (e.g., `http://ce.example.com/upload`). Leave empty for local stack."
+          },
+          "contextEngineUploader.authSharedToken": {
+            "type": "string",
+            "default": "",
+            "order": 8,
+            "markdownDescription": "Shared authentication token for team deployments. **Keep this secret!**"
           }
         }
       },

From 78fd3b766a5104b277dc4ee44887a5fe7f6e9680 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 07:31:28 -0500
Subject: [PATCH 02/10] Hide advanced columns in collections table UI

Removed the ID column and hid advanced hash and graph columns in the admin collections table for a cleaner interface. Updated table and cell styling for improved readability. Added a new 'Team' section to the VSCode extension settings for shared authentication, and bumped the extension version to 0.1.50.
---
 templates/admin/acl.html                      | 35 ++++++++-----------
 templates/admin/base.html                     |  9 ++---
 .../context-engine-uploader/package.json      |  2 +-
 .../settings-webview.js                       |  9 +++++
 4 files changed, 29 insertions(+), 26 deletions(-)

diff --git a/templates/admin/acl.html b/templates/admin/acl.html
index 27c803ed..99b7fab3 100644
--- a/templates/admin/acl.html
+++ b/templates/admin/acl.html
@@ -69,15 +69,14 @@ <h2 class="card-title">Collections</h2>
       <table id="collections-table" data-deletion-enabled="{{ '1' if deletion_enabled else '0' }}" data-work-dir="{{ work_dir }}" data-refresh-ms="{{ refresh_ms }}" data-staging-enabled="{{ '1' if staging_enabled else '0' }}">
         <thead>
           <tr>
-            <th>ID</th>
             <th>Collection</th>
             <th>Status</th>
             <th>Progress</th>
             <th>Config</th>
-            <th class="hide-mobile">Graph</th>
-            <th class="hide-mobile">Applied Hash</th>
-            <th class="hide-mobile">Pending Hash</th>
-            <th class="hide-mobile">Current Hash</th>
+            <th class="hide-mobile" style="display:none">Graph</th>
+            <th class="hide-mobile" style="display:none">Applied Hash</th>
+            <th class="hide-mobile" style="display:none">Pending Hash</th>
+            <th class="hide-mobile" style="display:none">Current Hash</th>
             <th>Actions</th>
           </tr>
         </thead>
@@ -85,9 +84,6 @@ <h2 class="card-title">Collections</h2>
           {% if collections and collections|length > 0 %}
             {% for c in collections %}
             <tr data-collection="{{ c.qdrant_collection }}">
-              <td>
-                <div class="font-mono text-muted text-sm" title="{{ c.id or c.workspace_id or '' }}">{{ (c.id or c.workspace_id or '—')[:16] }}...</div>
-              </td>
               <td>
                 <div style="font-weight: 500; color: var(--text-primary);">{{ c.qdrant_collection }}</div>
                 {% if c.container_path %}
@@ -148,7 +144,7 @@ <h2 class="card-title">Collections</h2>
                 </div>
                 {% endif %}
               </td>
-              <td class="hide-mobile">
+              <td class="hide-mobile" style="display:none">
                 {% if c.index_graph_edges_enabled %}
                 <span class="badge badge-success" title="Graph edges indexed">
                   <svg width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" style="margin-right: 4px;"><circle cx="5" cy="6" r="3"/><circle cx="19" cy="6" r="3"/><circle cx="12" cy="18" r="3"/><line x1="5" y1="9" x2="12" y2="15"/><line x1="19" y1="9" x2="12" y2="15"/></svg>
@@ -166,17 +162,17 @@ <h2 class="card-title">Collections</h2>
                 <span class="text-muted">—</span>
                 {% endif %}
               </td>
-              <td class="hide-mobile">
+              <td class="hide-mobile" style="display:none">
                 <div class="font-mono text-muted text-sm" title="Applied: {{ c.applied_indexing_hash or 'none' }}">{{ (c.applied_indexing_hash or '—')[:8] }}</div>
               </td>
-              <td class="hide-mobile">
+              <td class="hide-mobile" style="display:none">
                 {% if c.pending_indexing_hash %}
                 <div class="font-mono text-warning text-sm" title="Pending: {{ c.pending_indexing_hash }}">{{ c.pending_indexing_hash[:8] }}</div>
                 {% else %}
                 <span class="text-muted">—</span>
                 {% endif %}
               </td>
-              <td class="hide-mobile">
+              <td class="hide-mobile" style="display:none">
                 {% if c.current_indexing_hash or c.indexing_config_hash %}
                 <div class="font-mono text-sm" style="color: var(--accent);" title="Current: {{ c.current_indexing_hash or c.indexing_config_hash }}">{{ (c.current_indexing_hash or c.indexing_config_hash)[:8] }}</div>
                 {% else %}
@@ -215,7 +211,7 @@ <h2 class="card-title">Collections</h2>
             </tr>
             {% endfor %}
           {% else %}
-          <tr><td colspan="9" style="text-align: center; padding: 40px; color: var(--text-muted);">No collections found</td></tr>
+          <tr><td colspan="5" style="text-align: center; padding: 40px; color: var(--text-muted);">No collections found</td></tr>
           {% endif %}
         </tbody>
       </table>
@@ -627,9 +623,6 @@ <h3 style="margin: 0 0 16px 0; font-size: 14px; font-weight: 600;">New API Key</
 
     return `
       <tr data-collection="${escapeHtml(c.qdrant_collection)}">
-        <td>
-          <div class="font-mono text-muted text-sm" title="${escapeHtml(collectionId)}">${idDisplay}</div>
-        </td>
         <td>
           <div style="font-weight: 500; color: var(--text-primary);">${escapeHtml(c.qdrant_collection)}</div>
           ${c.container_path ? `<div class="text-muted text-sm truncate" title="${escapeHtml(c.container_path)}">${escapeHtml(c.container_path)}</div>` : ''}
@@ -647,7 +640,7 @@ <h3 style="margin: 0 0 16px 0; font-size: 14px; font-weight: 600;">New API Key</
           ${configBadge}
           ${configExtra}
         </td>
-        <td class="hide-mobile">
+        <td class="hide-mobile" style="display:none">
           ${c.index_graph_edges_enabled
             ? `<span class="badge badge-success" title="Graph edges indexed">
                 <svg width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" style="margin-right: 4px;"><circle cx="5" cy="6" r="3"/><circle cx="19" cy="6" r="3"/><circle cx="12" cy="18" r="3"/><line x1="5" y1="9" x2="12" y2="15"/><line x1="19" y1="9" x2="12" y2="15"/></svg>
@@ -656,15 +649,15 @@ <h3 style="margin: 0 0 16px 0; font-size: 14px; font-weight: 600;">New API Key</
               ${c.graph_clone_name ? `<div class="text-muted text-sm" style="margin-top: 4px;" title="Graph clone: ${escapeHtml(c.graph_clone_name)}">Clone: ${escapeHtml(c.graph_clone_name.slice(0, 16))}...${c.graph_clone_copied ? '<span style="color: var(--green);"> ✓</span>' : ''}</div>` : ''}`
             : '<span class="text-muted">—</span>'}
         </td>
-        <td class="hide-mobile">
+        <td class="hide-mobile" style="display:none">
           <div class="font-mono text-muted text-sm" title="Applied: ${escapeHtml(c.applied_indexing_hash || 'none')}">${escapeHtml((c.applied_indexing_hash || '—').slice(0, 8))}</div>
         </td>
-        <td class="hide-mobile">
+        <td class="hide-mobile" style="display:none">
           ${c.pending_indexing_hash
             ? `<div class="font-mono text-warning text-sm" title="Pending: ${escapeHtml(c.pending_indexing_hash)}">${escapeHtml(c.pending_indexing_hash.slice(0, 8))}</div>`
             : '<span class="text-muted">—</span>'}
         </td>
-        <td class="hide-mobile">
+        <td class="hide-mobile" style="display:none">
           ${currentHash
             ? `<div class="font-mono text-sm" style="color: var(--accent);" title="Current: ${escapeHtml(currentHash)}">${escapeHtml(currentHash.slice(0, 8))}</div>`
             : '<span class="text-muted">—</span>'}
@@ -731,7 +724,7 @@ <h3 style="margin: 0 0 16px 0; font-size: 14px; font-weight: 600;">New API Key</
 
   function renderAllCollections(collections) {
     if (collections.length === 0) {
-      bodyEl.innerHTML = '<tr><td colspan="9" style="text-align: center; padding: 40px; color: var(--text-muted);">No collections found</td></tr>';
+      bodyEl.innerHTML = '<tr><td colspan="5" style="text-align: center; padding: 40px; color: var(--text-muted);">No collections found</td></tr>';
     } else {
       bodyEl.innerHTML = collections.map(renderRow).join('');
     }
diff --git a/templates/admin/base.html b/templates/admin/base.html
index ad5b2023..9ae4494e 100644
--- a/templates/admin/base.html
+++ b/templates/admin/base.html
@@ -287,7 +287,6 @@
 
       .card:hover {
         border-color: rgba(255, 255, 255, 0.1);
-        transform: translateY(-2px);
         box-shadow: var(--shadow-lg);
       }
 
@@ -327,13 +326,14 @@
         width: 100%;
         border-collapse: collapse;
         font-size: 13px;
+        table-layout: auto;
       }
 
       th {
         text-align: left;
-        padding: 14px 18px;
+        padding: 12px 14px;
         font-weight: 500;
-        font-size: 12px;
+        font-size: 11px;
         text-transform: uppercase;
         letter-spacing: 0.05em;
         color: var(--text-muted);
@@ -342,10 +342,11 @@
       }
 
       td {
-        padding: 16px 18px;
+        padding: 14px;
         border-bottom: 1px solid var(--border-subtle);
         color: var(--text-secondary);
         transition: background var(--transition);
+        vertical-align: top;
       }
 
       tr:last-child td { border-bottom: none; }
diff --git a/vscode-extension/context-engine-uploader/package.json b/vscode-extension/context-engine-uploader/package.json
index 410c31ea..133491c7 100644
--- a/vscode-extension/context-engine-uploader/package.json
+++ b/vscode-extension/context-engine-uploader/package.json
@@ -2,7 +2,7 @@
   "name": "context-engine-uploader",
   "displayName": "Context-Engine.AI",
   "description": "Supercharge your AI coding assistants with rich codebase context. Integrates with Claude Code, Windsurf, Augment, and more via MCP.",
-  "version": "0.1.49",
+  "version": "0.1.50",
   "publisher": "context-engine",
   "engines": {
     "vscode": "^1.85.0"
diff --git a/vscode-extension/context-engine-uploader/settings-webview.js b/vscode-extension/context-engine-uploader/settings-webview.js
index d3d23563..e032b485 100644
--- a/vscode-extension/context-engine-uploader/settings-webview.js
+++ b/vscode-extension/context-engine-uploader/settings-webview.js
@@ -17,6 +17,15 @@ const SETTINGS_SCHEMA = {
       { key: 'pythonPath', label: 'Python Path', type: 'string', description: 'Python executable for scripts', placeholder: 'python3' },
     ]
   },
+  team: {
+    title: 'Team',
+    icon: 'organization',
+    description: 'Shared authentication for team deployments',
+    settings: [
+      { key: 'authBackendUrl', label: 'Auth Backend URL', type: 'string', description: 'Upload service URL for authentication (e.g. http://ce.yourteam.com/upload)', placeholder: 'http://localhost:8004' },
+      { key: 'authSharedToken', label: 'Shared API Token', type: 'password', description: 'Team-wide shared token for upload authentication. All team members use the same token.', placeholder: '••••••••' },
+    ]
+  },
   indexing: {
     title: 'Indexing',
     icon: 'database',

From 71c60c91255db0fe1b83a6493e0d3ebb043fd0db Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 07:32:51 -0500
Subject: [PATCH 03/10] Add MCP agent rules and update .gitignore

Added .cursorrules and GEMINI.md containing detailed rules and best practices for AI agents using Context-Engine MCP tools. Updated .gitignore to stop ignoring .cursorrules and GEMINI.md.
---
 .cursorrules | 639 +++++++++++++++++++++++++++++++++++++++++++++++++++
 .gitignore   |   5 +-
 GEMINI.md    | 639 +++++++++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 1279 insertions(+), 4 deletions(-)
 create mode 100644 .cursorrules
 create mode 100644 GEMINI.md

diff --git a/.cursorrules b/.cursorrules
new file mode 100644
index 00000000..182d54e1
--- /dev/null
+++ b/.cursorrules
@@ -0,0 +1,639 @@
+# AI Agent Rules for Context-Engine MCP Tools
+
+> **These rules are NOT optional.** Favor MCP Qdrant-Indexer tooling at all costs over grep, file reading, and unrelated codebase search tools.
+
+## Introduction
+
+This document defines requirements for AI agents using Context-Engine's MCP tools. The system provides two MCP servers (Memory Server on port 8000/8002, Indexer Server on port 8001/8003) with 30+ specialized tools for semantic code search, memory storage, and codebase exploration.
+
+**Core Principle:** MCP Qdrant-Indexer tools are PRIMARY for exploring code and history. Start with MCP for exploration, debugging, or "where/why" questions; use literal search/file-open only for narrow exact-literal lookups.
+
+## Glossary
+
+- **MCP**: Model Context Protocol - standardized interface for exposing tools to AI agents
+- **Indexer Server**: MCP server for code search, indexing, symbol graphs (port 8001 SSE, 8003 HTTP)
+- **Memory Server**: MCP server for knowledge storage and retrieval (port 8000 SSE, 8002 HTTP)
+- **Hybrid Search**: Dense semantic vectors + lexical BM25 + neural reranking (ONNX)
+- **ReFRAG**: Micro-chunking with 16-24 token windows for precise code retrieval
+- **TOON**: Token-Oriented Object Notation - compact output format (60-80% token reduction)
+- **Symbol Graph**: Indexed metadata for calls, imports, and definitions navigation
+- **Collection**: Qdrant vector database collection storing indexed code chunks
+
+## Requirements
+
+### Requirement 1: MCP-First Tool Selection
+
+**User Story:** As an AI agent, I want to prioritize MCP tools over grep/file-reading, so that I get semantic understanding efficiently.
+
+#### Acceptance Criteria
+
+1. WHEN exploring code or answering "where/why" questions, THE Agent SHALL use MCP Indexer tools as the primary method
+2. WHEN the agent needs semantic understanding, cross-file relationships, or ranked results with context, THE Agent SHALL use MCP tools
+3. WHEN the agent knows an exact literal string AND only needs to confirm existence/location, THE Agent SHALL use grep or file-open
+4. IF the agent is uncertain which approach to use, THEN THE Agent SHALL default to MCP tools
+5. THE Agent SHALL NOT use `grep -r "auth"` for concepts (use MCP: "authentication mechanisms")
+
+### Requirement 2: Query Formulation
+
+**User Story:** As an AI agent, I want to write effective semantic queries, so that I retrieve relevant code spans.
+
+#### Acceptance Criteria
+
+1. WHEN writing queries for `repo_search`, THE Agent SHALL use short natural-language fragments (e.g., "database connection handling")
+2. THE Agent SHALL NOT use boolean operators (OR, AND), regex syntax, or code patterns in semantic queries
+3. WHEN searching broad concepts, THE Agent SHALL use descriptive phrases like "error reporting patterns" not `grep -r "error"`
+4. THE Agent SHALL write queries as descriptions of what to find, not as literal code strings
+5. WHEN searching for specific symbols, THE Agent SHALL use the `symbol` parameter alongside the query
+
+### Requirement 3: Performance Optimization
+
+**User Story:** As an AI agent, I want to minimize token usage and latency, so that I work efficiently within context limits.
+
+#### Acceptance Criteria
+
+1. WHEN starting discovery, THE Agent SHALL use `limit=3`, `compact=true`, `per_path=1`
+2. WHEN needing implementation details, THE Agent SHALL increase to `limit=5`, `include_snippet=true`
+3. WHEN token efficiency is critical, THE Agent SHALL use `output_format="toon"` for 60-80% reduction
+4. THE Agent SHALL NOT use `limit=20` with `include_snippet=true` (excessive token waste)
+5. THE Agent SHALL NOT use high `context_lines` for pure discovery (unnecessary tokens)
+6. THE Agent SHALL fire independent tool calls in parallel (same message block) for 2-3x speedup
+7. THE Agent SHALL prefer `output_format="toon"` as default for all discovery queries
+
+### Requirement 4: Core Search Tools
+
+**User Story:** As an AI agent, I want to use the right search tool for each task, so that I get optimal results.
+
+#### Acceptance Criteria
+
+1. WHEN finding relevant files/spans and inspecting code, THE Agent SHALL use `repo_search` or `code_search`
+2. WHEN combining code hits with memory/docs, THE Agent SHALL use `context_search` with `include_memories=true`
+3. WHEN needing natural-language explanations with citations, THE Agent SHALL use `context_answer`
+4. WHEN needing quick discovery with summaries, THE Agent SHALL use `info_request` with `include_explanation=true`
+5. WHEN finding structurally similar patterns across languages, THE Agent SHALL use `pattern_search`
+
+### Requirement 5: Symbol Graph Navigation
+
+**User Story:** As an AI agent, I want to navigate code relationships efficiently, so that I understand call graphs and dependencies.
+
+#### Acceptance Criteria
+
+1. WHEN finding who calls a function, THE Agent SHALL use `symbol_graph(symbol="name", query_type="callers")`
+2. WHEN finding where a symbol is defined, THE Agent SHALL use `symbol_graph(symbol="name", query_type="definition")`
+3. WHEN finding what imports a module, THE Agent SHALL use `symbol_graph(symbol="name", query_type="importers")`
+4. THE Agent SHALL prefer `symbol_graph` over `search_callers_for` for structured navigation with metadata
+5. THE Agent SHALL use `language` and `under` filters to narrow symbol graph results
+6. WHEN needing multi-hop traversals, THE Agent SHALL use `symbol_graph` with `depth=2` or `depth=3`
+
+### Requirement 5b: Neo4j Advanced Graph Queries
+
+**User Story:** As an AI agent, I want to perform advanced graph traversals that grep cannot do, so that I understand impact, dependencies, and circular references.
+
+#### Acceptance Criteria
+
+1. WHEN needing multi-hop callers (callers of callers), THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
+2. WHEN analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
+3. WHEN finding all dependencies of a function, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
+4. WHEN detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
+5. THE Agent SHALL prefer `neo4j_graph_query` over repeated grep when structural traversal is needed
+6. THE Agent SHALL understand that `neo4j_graph_query` provides 10-40x speedup over grep for caller lookups and enables queries that are IMPOSSIBLE with grep
+
+### Requirement 6: Specialized Search Tools
+
+**User Story:** As an AI agent, I want to use specialized tools for common search patterns, so that I find specific code types quickly.
+
+#### Acceptance Criteria
+
+1. WHEN finding test files, THE Agent SHALL use `search_tests_for` (preset test globs)
+2. WHEN finding configuration files, THE Agent SHALL use `search_config_for` (preset config globs)
+3. WHEN finding symbol usages heuristically, THE Agent SHALL use `search_callers_for`
+4. WHEN finding import references, THE Agent SHALL use `search_importers_for`
+5. THE Agent SHALL pass `language`, `under`, and `limit` filters to narrow specialized searches
+
+### Requirement 7: Context Answer Best Practices
+
+**User Story:** As an AI agent, I want high-quality explanations from context_answer, so that I understand code behavior accurately.
+
+#### Acceptance Criteria
+
+1. WHEN asking about specific modules, THE Agent SHALL mention filenames explicitly in queries
+2. WHEN asking cross-file questions, THE Agent SHALL use behavior-describing queries without filenames
+3. THE Agent SHALL use `budget_tokens` to control context size (default: MICRO_BUDGET_TOKENS env)
+4. THE Agent SHALL set `temperature=0.2` or `temperature=0.3` for deterministic answers
+5. THE Agent SHALL NOT use `context_answer` as a debugger for low-level helpers; prefer `repo_search` + direct reading
+
+### Requirement 8: Info Request Simplification
+
+**User Story:** As an AI agent, I want a simple interface for quick code discovery, so that I can find relevant code with minimal parameters.
+
+#### Acceptance Criteria
+
+1. WHEN needing simple search, THE Agent SHALL use `info_request(info_request="description")`
+2. WHEN needing summaries and concepts, THE Agent SHALL set `include_explanation=true`
+3. WHEN needing relationship data (imports/calls), THE Agent SHALL set `include_relationships=true`
+4. THE Agent SHALL understand smart limits: 15 for short queries, 8 for questions, 10 default
+5. THE Agent SHALL use `info_request` for quick discovery before deeper `repo_search` dives
+
+### Requirement 9: Pattern Search Usage
+
+**User Story:** As an AI agent, I want to find structurally similar code across languages, so that I detect patterns and duplication.
+
+#### Acceptance Criteria
+
+1. WHEN finding similar control flow, THE Agent SHALL use `pattern_search` with code examples OR descriptions
+2. THE Agent SHALL use `query_mode="auto"` (default) to let the system detect code vs description
+3. WHEN searching specific target languages, THE Agent SHALL use `target_languages` filter
+4. THE Agent SHALL set `min_score=0.3` or higher to filter low-quality matches
+5. IF pattern_search is unavailable (PATTERN_VECTORS!=1), THEN THE Agent SHALL fall back to `repo_search`
+
+### Requirement 10: Git History Integration
+
+**User Story:** As an AI agent, I want to understand code evolution, so that I answer "when/why did X change" questions.
+
+#### Acceptance Criteria
+
+1. WHEN finding current implementation, THE Agent SHALL first use `repo_search` to locate relevant files
+2. WHEN summarizing recent changes, THE Agent SHALL use `change_history_for_path(path="...", include_commits=true)`
+3. WHEN finding commits for specific behavior, THE Agent SHALL use `search_commits_for(query="behavior phrase", path="...")`
+4. THE Agent SHALL read `lineage_goal`, `lineage_symbols`, `lineage_tags` from commit results
+5. WHEN explaining current behavior after finding files, THE Agent SHALL use `context_answer`
+
+### Requirement 11: Memory System Usage
+
+**User Story:** As an AI agent, I want to store and retrieve knowledge effectively, so that I build on previous work.
+
+#### Acceptance Criteria
+
+1. WHEN storing code snippets, THE Agent SHALL use `memory_store` with metadata: `{code, language, path, kind="snippet"}`
+2. WHEN storing explanations, THE Agent SHALL use `kind="explanation"` with `tags` and `topic`
+3. THE Agent SHALL set `priority` (1-10) to indicate importance (higher = more important)
+4. WHEN searching memories, THE Agent SHALL use `memory_find` with filters: `kind`, `language`, `tags`, `priority_min`
+5. THE Agent SHALL use `context_search(include_memories=true)` to blend code + memory results
+
+### Requirement 12: Cross-Repo Search
+
+**User Story:** As an AI agent, I want to search across repositories effectively, so that I find code regardless of location.
+
+#### Acceptance Criteria
+
+1. WHEN searching a single repository, THE Agent SHALL use `repo="repo-name"`
+2. WHEN searching multiple repositories, THE Agent SHALL use `repo=["frontend", "backend"]`
+3. WHEN searching all indexed repositories, THE Agent SHALL use `repo="*"`
+4. WHEN `repo` is omitted, THE Agent SHALL rely on auto-detection via CURRENT_REPO env (REPO_AUTO_FILTER=1)
+5. THE Agent SHALL specify `collection` parameter when multiple collections exist
+
+### Requirement 13: Session Management
+
+**User Story:** As an AI agent, I want to maintain session context, so that I don't repeat parameters unnecessarily.
+
+#### Acceptance Criteria
+
+1. WHEN starting a session, THE Agent SHALL call `set_session_defaults` for both indexer and memory servers
+2. THE Agent SHALL set default `collection` in session to avoid repeating it in every request
+3. THE Agent SHALL understand precedence: explicit args > per-connection defaults > token defaults > env default
+4. THE Agent SHALL use session tokens for cross-connection reuse when needed
+5. THE Agent SHALL call `set_session_defaults(collection="...", output_format="toon", compact=true)` early
+
+### Requirement 14: Query Expansion Strategy
+
+**User Story:** As an AI agent, I want to use query expansion judiciously, so that I improve results without excessive overhead.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL attempt normal search BEFORE using `expand_query` or `expand=true`
+2. WHEN initial search returns poor results, THE Agent SHALL use `expand=true` on `context_answer`
+3. THE Agent SHALL use `max_new=2` or `max_new=3` for expansion (default 3)
+4. THE Agent SHALL understand expansion uses local LLM (llama.cpp, GLM, or MiniMax) and is expensive
+5. THE Agent SHALL treat `expand_query` as a last resort, not a default
+
+### Requirement 15: Error Handling
+
+**User Story:** As an AI agent, I want to handle errors gracefully, so that I recover and continue working.
+
+#### Acceptance Criteria
+
+1. WHEN MCP tools return responses, THE Agent SHALL check the `ok` field for success/failure
+2. WHEN reranking times out, THE Agent SHALL accept fallback to hybrid-only results (still valid)
+3. WHEN decoder is disabled, THE Agent SHALL accept `context_answer` returning citations without generated text
+4. WHEN pattern_search is unavailable, THE Agent SHALL fall back to `repo_search`
+5. THE Agent SHALL parse error messages and adjust parameters accordingly
+
+### Requirement 16: Indexing and Maintenance
+
+**User Story:** As an AI agent, I want to manage indexing operations, so that the codebase stays current.
+
+#### Acceptance Criteria
+
+1. WHEN indexing entire workspace, THE Agent SHALL use `qdrant_index_root`
+2. WHEN indexing subdirectories, THE Agent SHALL use `qdrant_index(subdir="path")`
+3. WHEN recreating collections from scratch, THE Agent SHALL use `recreate=true`
+4. WHEN removing stale points (deleted files), THE Agent SHALL use `qdrant_prune`
+5. WHEN checking index health, THE Agent SHALL use `qdrant_status` for count and timestamps
+
+### Requirement 17: Workspace Discovery
+
+**User Story:** As an AI agent, I want to discover available workspaces and collections, so that I target the right codebase.
+
+#### Acceptance Criteria
+
+1. WHEN listing all collections, THE Agent SHALL use `qdrant_list`
+2. WHEN checking current workspace state, THE Agent SHALL use `workspace_info`
+3. WHEN discovering multiple workspaces, THE Agent SHALL use `list_workspaces`
+4. WHEN mapping collections to repos, THE Agent SHALL use `collection_map`
+5. THE Agent SHALL understand workspace state includes: indexing_status, indexing_config, active_repo_slug
+
+### Requirement 18: Grep Anti-Patterns
+
+**User Story:** As an AI agent, I want to recognize when grep is inappropriate, so that I use semantic search instead.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL NOT use `grep -r "auth"` (use MCP: "authentication mechanisms")
+2. THE Agent SHALL NOT use `grep -r "cache"` (use MCP: "caching strategies")
+3. THE Agent SHALL NOT use `grep -r "error"` (use MCP: "error handling patterns")
+4. THE Agent SHALL NOT use `grep -r "database"` (use MCP: "database operations")
+5. THE Agent SHALL use grep ONLY for exact literals: `grep -rn "UserAlreadyExists"`, `grep -rn "REDIS_HOST"`
+
+### Requirement 19: Advanced Reranking Features
+
+**User Story:** As an AI agent, I want to leverage reranking effectively, so that I get the most relevant results.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL use `rerank_enabled=true` (default) for complex queries needing best relevance
+2. WHEN faster results are acceptable, THE Agent SHALL set `rerank_enabled=false`
+3. THE Agent SHALL understand results include `learning_score` and `refinement_iterations` from ONNX teacher
+4. THE Agent SHALL use `rerank_top_n` to control candidate pool size (default 20)
+5. THE Agent SHALL use `rerank_return_m` to control final result count after reranking
+
+### Requirement 20: Output Format and Token Efficiency
+
+**User Story:** As an AI agent, I want to choose appropriate output formats, so that I optimize token usage.
+
+#### Acceptance Criteria
+
+1. WHEN token efficiency is critical, THE Agent SHALL use `output_format="toon"` for 60-80% reduction
+2. WHEN needing full structured data, THE Agent SHALL use `output_format="json"` (default)
+3. WHEN using `compact=true`, THE Agent SHALL expect reduced result fields (path, symbol, lines, score)
+4. THE Agent SHALL use `include_snippet=false` when only file/line references are needed
+5. THE Agent SHALL combine `compact=true` + `limit=3` + `per_path=1` for minimal discovery queries
+
+---
+
+## Tool Quick Reference
+
+### Search Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `repo_search` | General code search | `query`, `limit`, `compact`, `language`, `under`, `symbol` |
+| `code_search` | Alias for repo_search | Same as repo_search |
+| `context_search` | Code + memory blend | `include_memories`, `per_source_limits` |
+| `context_answer` | NL explanations with citations | `query`, `budget_tokens`, `temperature` |
+| `info_request` | Quick discovery (multi-granular) | `info_request`, `include_explanation` (use for broad architecture/overviews) |
+| `pattern_search` | Structural similarity | `query`, `query_mode`, `target_languages` |
+
+### Navigation Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) | `symbol`, `query_type`, `limit`, `depth` |
+| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` |
+| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` |
+| `search_importers_for` | Import references | `query`, `language` |
+| `search_tests_for` | Test files | `query`, `limit` |
+| `search_config_for` | Config files | `query`, `limit` |
+
+### History Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `change_history_for_path` | File change summary | `path`, `include_commits` |
+| `search_commits_for` | Commit search | `query`, `path`, `limit` |
+
+### Memory Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `memory_store` | Store knowledge | `information`, `metadata` |
+| `memory_find` | Search memories | `query`, `kind`, `language`, `tags` |
+
+### Admin Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `qdrant_index_root` | Index workspace | `recreate` |
+| `qdrant_index` | Index subdirectory | `subdir`, `recreate` |
+| `qdrant_prune` | Remove stale points | - |
+| `qdrant_status` | Collection health | `collection` |
+| `qdrant_list` | List collections | - |
+| `workspace_info` | Workspace state | - |
+| `set_session_defaults` | Session config | `collection`, `language`, `under` |
+| `warmup_status` | Check model warmup | - |
+
+---
+
+## Agentic Optimization Patterns
+
+### Parallel Execution (CRITICAL for ROI)
+
+**Fire independent tool calls in a single message block** - this is the highest-ROI optimization.
+
+```
+# WRONG (sequential - 3x slower)
+result1 = repo_search(query="authentication")
+result2 = repo_search(query="error handling")
+result3 = symbol_graph(symbol="authenticate")
+
+# CORRECT (parallel - all at once)
+# In a single message, call all three:
+repo_search(query="authentication", limit=3, compact=true)
+repo_search(query="error handling", limit=3, compact=true)
+symbol_graph(symbol="authenticate", query_type="callers")
+# Results arrive together
+```
+
+**When to parallelize:**
+- Multiple `repo_search` calls with different queries
+- `repo_search` + `symbol_graph` for the same investigation
+- `search_tests_for` + `search_config_for` when exploring a feature
+- Any tools where results don't depend on each other
+
+### Two-Phase Search Strategy
+
+| Phase | Purpose | Parameters | When to Use |
+|-------|---------|------------|-------------|
+| **Discovery** | Find relevant areas quickly | `limit=3`, `compact=true`, `output_format="toon"`, `per_path=1` | Always start here |
+| **Deep Dive** | Get implementation details | `limit=5-8`, `include_snippet=true`, `context_lines=3-5` | After identifying targets |
+
+```
+# Phase 1: Discovery
+info_request(info_request="authentication flow", limit=3)
+# Check confidence.level - if "high", proceed; if "low", refine query
+
+# Phase 2: Deep dive on high-value targets only
+repo_search(
+  query="jwt token validation",
+  limit=5,
+  include_snippet=true,
+  context_lines=5,
+  under="src/auth"
+)
+```
+
+### Session Bootstrap
+
+**At the start of any session, set defaults to optimize all subsequent operations:**
+
+```
+# Set defaults (inherited by all subsequent calls)
+set_session_defaults(
+  output_format="toon",    # 60-80% token reduction
+  compact=true,            # Minimal result fields
+  limit=5                  # Reasonable default
+)
+```
+
+### Token Efficiency Defaults
+
+| Parameter | Discovery | Deep Dive | Notes |
+|-----------|-----------|-----------|-------|
+| `limit` | 3 | 5-8 | Start small, expand if needed |
+| `per_path` | 1 | 2 | Prevents duplicate file results |
+| `compact` | true | false | Strips verbose metadata |
+| `output_format` | "toon" | "json" | TOON saves 60-80% tokens |
+| `include_snippet` | false | true | Headers-only for discovery |
+| `context_lines` | 0 | 3-5 | Only when reading code |
+| `rerank_enabled` | true | true | Disable only for speed |
+
+### Fallback Chains
+
+When primary tools fail or timeout, use these fallback patterns:
+
+| Primary | Fallback | When |
+|---------|----------|------|
+| `context_answer` | `repo_search` + `info_request(include_explanation=true)` | Timeout or decoder unavailable |
+| `pattern_search` | `repo_search` with structural query terms | PATTERN_VECTORS not enabled |
+| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed) | Neo4j empty or unavailable |
+| `memory_find` | `context_search(include_memories=true)` | Memory server issues |
+
+```
+# Example: context_answer fallback
+result = context_answer(query="how does auth work?")
+if result.get("error") or result.get("answer") == "insufficient context":
+    # Fallback to search + explanation
+    search_result = repo_search(query="authentication implementation", limit=5)
+    explanation = info_request(info_request="authentication flow", include_explanation=true)
+```
+
+---
+
+## Advanced Features & Examples
+
+### Using Confidence Metrics
+
+The `info_request` tool returns confidence metrics including score variance analysis to help you understand search quality:
+
+```json
+// Example: Low confidence search triggers suggestion
+{
+  "query": "auth",
+  "confidence": {
+    "level": "low",
+    "score": 0.42,
+    "variance_score": 0.18,
+    "score_spread": 0.6,
+    "consistency_level": "low",
+    "coefficient_of_variation": 0.43,
+    "min_score": 0.2,
+    "max_score": 0.8,
+    "low_confidence_hint": "Try more specific terms or include function/class names for better results"
+  }
+}
+```
+
+**Interpreting Confidence Metrics:**
+- `level`: Overall confidence ("high", "medium", "low", "none")
+- `score`: Average result score
+- `consistency_level`: How similar scores are ("high" = CV<0.2, "medium" = CV 0.2-0.4, "low" = CV>0.4)
+- `coefficient_of_variation`: Relative variability (higher = more diverse results)
+- `low_confidence_hint`: Actionable suggestion when confidence is low
+
+**Agent Behavior:**
+- **Low confidence + high CV**: Results are diverse but uncertain → refine query with more specific terms
+- **High confidence + low CV**: Strong, consistent results → query is effective
+- **Low confidence + low CV**: Consistently poor results → try different search approach
+
+### Symbol Suggestions on Typo
+
+The `symbol_graph` tool provides fuzzy matching suggestions when exact symbol match fails:
+
+```json
+// Example: Typo in symbol name gets helpful suggestions
+{
+  "symbol": "getUserProf",
+  "query_type": "callers",
+  "results": [],
+  "count": 0,
+  "suggestions": ["getUserProfile", "getUser", "UserProfile"],
+  "hint": "Symbol 'getUserProf' not found. Did you mean: getUserProfile?"
+}
+```
+
+**How Suggestions Work:**
+- **Edit distance ≤2**: Catches typos like "getUSerProfile" → "getUserProfile"
+- **Prefix matching**: Partial names like "getUser" → "getUserProfile"
+- **CamelCase/snake_case tokens**: Matches "get_user_profile" to "getUserProfile"
+- **Scored ranking**: Top 3 suggestions ordered by similarity (1.0 = exact, 0.9 = prefix, 0.8 = token match, 0.6-0.8 = edit distance)
+
+**Agent Behavior:**
+- When `suggestions` field present, try the top suggestion first
+- Suggestions are cached for 60s to reduce load
+- Controlled via `SYMBOL_SUGGESTIONS_LIMIT` env (default: 3)
+
+### Score Variance Detection
+
+The `repo_search` and `context_search` tools detect high score variance and automatically expand spans for better context:
+
+```json
+// Example: High variance triggers span expansion
+{
+  "results": [
+    {"path": "auth.py", "start_line": 10, "end_line": 45, "_adaptive_expanded": true},
+    {"path": "user.py", "start_line": 20, "end_line": 35}
+  ],
+  "score_analysis": {
+    "cv": 0.45,
+    "high_variance": true,
+    "variance": 0.08,
+    "std": 0.28,
+    "mean": 0.62,
+    "adaptive_spans_used": 8
+  }
+}
+```
+
+**Variance Metrics:**
+- `cv` (Coefficient of Variation): Relative score variability (std/mean)
+- `high_variance`: Flag when CV > threshold (default 0.3)
+- `adaptive_spans_used`: Count of spans expanded to full symbol boundaries
+
+**Adaptive Behavior:**
+- **High variance (CV > 0.3)** + `ADAPTIVE_SPAN_SIZING=1`: Expands micro-chunks to full function/class boundaries
+- Max expansion: 80 lines, up to 3 spans, 40% of token budget
+- Only expands when symbol metadata available
+- Logs with `DEBUG_ADAPTIVE_SPAN=1`
+
+**Environment Variables:**
+```bash
+SCORE_VARIANCE_THRESHOLD=0.3    # CV threshold for high_variance flag
+VARIANCE_SPAN_EXPANSION=1.5     # Span multiplier when high variance
+ADAPTIVE_SPAN_SIZING=1          # Enable/disable adaptive expansion
+```
+
+### Intent Confidence Analysis
+
+Intent classification logs all queries to JSONL for offline analysis:
+
+```bash
+# Analyze intent classification quality over last 7 days
+python scripts/analyze_intent_confidence.py --days 7
+
+# Output example:
+# ================================================================================
+# INTENT CONFIDENCE ANALYSIS
+# ================================================================================
+#
+# Total Events: 1,247
+#
+# Strategy Distribution:
+#   rules     :   823 (66.0%)
+#   ml        :   424 (34.0%)
+#
+# Intent Distribution:
+#   search            :   512 (41.1%)
+#   answer            :   302 (24.2%)
+#   search_tests      :   156 (12.5%)
+#   symbol_graph      :   134 (10.7%)
+#   memory_find       :    89 ( 7.1%)
+#
+# Average Confidence: 0.78
+# Fallback Rate (ML → search): 12%
+#
+# Top 10 Low-Confidence Queries:
+#   1. [0.23] "show implementation..." → search (top: answer)
+#   2. [0.24] "where is cache..." → search (top: answer)
+#   3. [0.26] "find config for..." → search (top: search_config)
+#   ...
+```
+
+**Event Log Format (JSONL):**
+```json
+{
+  "timestamp": 1704974400.0,
+  "query": "find tests for authentication",
+  "intent": "search_tests",
+  "confidence": 1.0,
+  "strategy": "rules",
+  "threshold": null,
+  "candidates": []
+}
+```
+
+**Environment Variables:**
+```bash
+INTENT_TRACKING_ENABLED=1        # Enable event logging (default: 1)
+INTENT_EVENTS_DIR=./events       # Log directory (default: ./events)
+INTENT_LOG_ROTATE_MB=100         # Max file size before rotation
+```
+
+**Agent Behavior:**
+- **Low confidence (<0.4)**: Query may be ambiguous → check `candidates` for alternatives
+- **High fallback rate**: Rules may need tuning → review top fallback queries
+- **Strategy="rules"**: Fast, deterministic classification (confidence=1.0)
+- **Strategy="ml"**: Semantic embedding-based fallback (confidence=0.0-1.0)
+
+**Use Cases:**
+- Monitor classification accuracy over time
+- Identify queries that need better rule coverage
+- Tune confidence thresholds based on real usage
+- Debug misclassifications with full candidate scores
+
+### Neo4j Graph Query Types
+
+The `neo4j_graph_query` tool provides advanced graph traversals that are **impossible with grep**:
+
+| Query Type | Description | Example |
+|------------|-------------|---------|
+| `callers` | Who calls this symbol? (depth 1) | `neo4j_graph_query(symbol="authenticate", query_type="callers")` |
+| `callees` | What does this symbol call? (depth 1) | `neo4j_graph_query(symbol="main", query_type="callees")` |
+| `transitive_callers` | Multi-hop callers (up to depth) | `neo4j_graph_query(symbol="get_embedding_model", query_type="transitive_callers", depth=2)` |
+| `transitive_callees` | Multi-hop callees (up to depth) | `neo4j_graph_query(symbol="init", query_type="transitive_callees", depth=3)` |
+| `impact` | What breaks if I change this? | `neo4j_graph_query(symbol="normalize_path", query_type="impact", depth=2)` |
+| `dependencies` | What does this depend on? | `neo4j_graph_query(symbol="run_hybrid_search", query_type="dependencies")` |
+| `cycles` | Detect circular dependencies | `neo4j_graph_query(symbol="ServiceA", query_type="cycles")` |
+
+**Key Parameters:**
+- `symbol`: The function, class, or module to analyze
+- `query_type`: One of the above query types
+- `depth`: Traversal depth for transitive queries (default 1, max ~5)
+- `limit`: Maximum results (default 50)
+- `include_paths`: Include full traversal paths in results
+- `repo`: Filter by repository name
+
+**ROI vs Grep:**
+| Metric | Grep | Neo4j Graph | ROI |
+|--------|------|-------------|-----|
+| Multi-hop callers | Impossible | 80ms | ∞ |
+| Impact analysis | 10+ iterations | 1 call, 3ms | 10x |
+| Noise filtering | Manual | Automatic | 90%+ reduction |
+| Time for simple lookup | 3-5s | 80ms | 40x faster |
+
+**Example Response:**
+```json
+{
+  "ok": true,
+  "results": [
+    {"symbol": "main", "hop": 1, "path_nodes": ["main", "normalize_path"], "repo": "work"},
+    {"symbol": "evaluate_query", "hop": 2, "path_nodes": ["evaluate_query", "matches_relevant", "normalize_path"]}
+  ],
+  "total": 4,
+  "query": {"query_type": "impact", "symbol": "normalize_path", "depth": 2},
+  "backend": "neo4j",
+  "query_time_ms": 3.43
+}
+```
diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
@@ -65,7 +65,4 @@ ctx_config.json
 /deploy/eks-cdk
 /deploy/eks-cdk-PATHFUL
 .env
-.contextstream/config.json
-.contextstream/ignore
-.cursorrules
-GEMINI.md
+
diff --git a/GEMINI.md b/GEMINI.md
new file mode 100644
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--- /dev/null
+++ b/GEMINI.md
@@ -0,0 +1,639 @@
+# AI Agent Rules for Context-Engine MCP Tools
+
+> **These rules are NOT optional.** Favor MCP Qdrant-Indexer tooling at all costs over grep, file reading, and unrelated codebase search tools.
+
+## Introduction
+
+This document defines requirements for AI agents using Context-Engine's MCP tools. The system provides two MCP servers (Memory Server on port 8000/8002, Indexer Server on port 8001/8003) with 30+ specialized tools for semantic code search, memory storage, and codebase exploration.
+
+**Core Principle:** MCP Qdrant-Indexer tools are PRIMARY for exploring code and history. Start with MCP for exploration, debugging, or "where/why" questions; use literal search/file-open only for narrow exact-literal lookups.
+
+## Glossary
+
+- **MCP**: Model Context Protocol - standardized interface for exposing tools to AI agents
+- **Indexer Server**: MCP server for code search, indexing, symbol graphs (port 8001 SSE, 8003 HTTP)
+- **Memory Server**: MCP server for knowledge storage and retrieval (port 8000 SSE, 8002 HTTP)
+- **Hybrid Search**: Dense semantic vectors + lexical BM25 + neural reranking (ONNX)
+- **ReFRAG**: Micro-chunking with 16-24 token windows for precise code retrieval
+- **TOON**: Token-Oriented Object Notation - compact output format (60-80% token reduction)
+- **Symbol Graph**: Indexed metadata for calls, imports, and definitions navigation
+- **Collection**: Qdrant vector database collection storing indexed code chunks
+
+## Requirements
+
+### Requirement 1: MCP-First Tool Selection
+
+**User Story:** As an AI agent, I want to prioritize MCP tools over grep/file-reading, so that I get semantic understanding efficiently.
+
+#### Acceptance Criteria
+
+1. WHEN exploring code or answering "where/why" questions, THE Agent SHALL use MCP Indexer tools as the primary method
+2. WHEN the agent needs semantic understanding, cross-file relationships, or ranked results with context, THE Agent SHALL use MCP tools
+3. WHEN the agent knows an exact literal string AND only needs to confirm existence/location, THE Agent SHALL use grep or file-open
+4. IF the agent is uncertain which approach to use, THEN THE Agent SHALL default to MCP tools
+5. THE Agent SHALL NOT use `grep -r "auth"` for concepts (use MCP: "authentication mechanisms")
+
+### Requirement 2: Query Formulation
+
+**User Story:** As an AI agent, I want to write effective semantic queries, so that I retrieve relevant code spans.
+
+#### Acceptance Criteria
+
+1. WHEN writing queries for `repo_search`, THE Agent SHALL use short natural-language fragments (e.g., "database connection handling")
+2. THE Agent SHALL NOT use boolean operators (OR, AND), regex syntax, or code patterns in semantic queries
+3. WHEN searching broad concepts, THE Agent SHALL use descriptive phrases like "error reporting patterns" not `grep -r "error"`
+4. THE Agent SHALL write queries as descriptions of what to find, not as literal code strings
+5. WHEN searching for specific symbols, THE Agent SHALL use the `symbol` parameter alongside the query
+
+### Requirement 3: Performance Optimization
+
+**User Story:** As an AI agent, I want to minimize token usage and latency, so that I work efficiently within context limits.
+
+#### Acceptance Criteria
+
+1. WHEN starting discovery, THE Agent SHALL use `limit=3`, `compact=true`, `per_path=1`
+2. WHEN needing implementation details, THE Agent SHALL increase to `limit=5`, `include_snippet=true`
+3. WHEN token efficiency is critical, THE Agent SHALL use `output_format="toon"` for 60-80% reduction
+4. THE Agent SHALL NOT use `limit=20` with `include_snippet=true` (excessive token waste)
+5. THE Agent SHALL NOT use high `context_lines` for pure discovery (unnecessary tokens)
+6. THE Agent SHALL fire independent tool calls in parallel (same message block) for 2-3x speedup
+7. THE Agent SHALL prefer `output_format="toon"` as default for all discovery queries
+
+### Requirement 4: Core Search Tools
+
+**User Story:** As an AI agent, I want to use the right search tool for each task, so that I get optimal results.
+
+#### Acceptance Criteria
+
+1. WHEN finding relevant files/spans and inspecting code, THE Agent SHALL use `repo_search` or `code_search`
+2. WHEN combining code hits with memory/docs, THE Agent SHALL use `context_search` with `include_memories=true`
+3. WHEN needing natural-language explanations with citations, THE Agent SHALL use `context_answer`
+4. WHEN needing quick discovery with summaries, THE Agent SHALL use `info_request` with `include_explanation=true`
+5. WHEN finding structurally similar patterns across languages, THE Agent SHALL use `pattern_search`
+
+### Requirement 5: Symbol Graph Navigation
+
+**User Story:** As an AI agent, I want to navigate code relationships efficiently, so that I understand call graphs and dependencies.
+
+#### Acceptance Criteria
+
+1. WHEN finding who calls a function, THE Agent SHALL use `symbol_graph(symbol="name", query_type="callers")`
+2. WHEN finding where a symbol is defined, THE Agent SHALL use `symbol_graph(symbol="name", query_type="definition")`
+3. WHEN finding what imports a module, THE Agent SHALL use `symbol_graph(symbol="name", query_type="importers")`
+4. THE Agent SHALL prefer `symbol_graph` over `search_callers_for` for structured navigation with metadata
+5. THE Agent SHALL use `language` and `under` filters to narrow symbol graph results
+6. WHEN needing multi-hop traversals, THE Agent SHALL use `symbol_graph` with `depth=2` or `depth=3`
+
+### Requirement 5b: Neo4j Advanced Graph Queries
+
+**User Story:** As an AI agent, I want to perform advanced graph traversals that grep cannot do, so that I understand impact, dependencies, and circular references.
+
+#### Acceptance Criteria
+
+1. WHEN needing multi-hop callers (callers of callers), THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
+2. WHEN analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
+3. WHEN finding all dependencies of a function, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
+4. WHEN detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
+5. THE Agent SHALL prefer `neo4j_graph_query` over repeated grep when structural traversal is needed
+6. THE Agent SHALL understand that `neo4j_graph_query` provides 10-40x speedup over grep for caller lookups and enables queries that are IMPOSSIBLE with grep
+
+### Requirement 6: Specialized Search Tools
+
+**User Story:** As an AI agent, I want to use specialized tools for common search patterns, so that I find specific code types quickly.
+
+#### Acceptance Criteria
+
+1. WHEN finding test files, THE Agent SHALL use `search_tests_for` (preset test globs)
+2. WHEN finding configuration files, THE Agent SHALL use `search_config_for` (preset config globs)
+3. WHEN finding symbol usages heuristically, THE Agent SHALL use `search_callers_for`
+4. WHEN finding import references, THE Agent SHALL use `search_importers_for`
+5. THE Agent SHALL pass `language`, `under`, and `limit` filters to narrow specialized searches
+
+### Requirement 7: Context Answer Best Practices
+
+**User Story:** As an AI agent, I want high-quality explanations from context_answer, so that I understand code behavior accurately.
+
+#### Acceptance Criteria
+
+1. WHEN asking about specific modules, THE Agent SHALL mention filenames explicitly in queries
+2. WHEN asking cross-file questions, THE Agent SHALL use behavior-describing queries without filenames
+3. THE Agent SHALL use `budget_tokens` to control context size (default: MICRO_BUDGET_TOKENS env)
+4. THE Agent SHALL set `temperature=0.2` or `temperature=0.3` for deterministic answers
+5. THE Agent SHALL NOT use `context_answer` as a debugger for low-level helpers; prefer `repo_search` + direct reading
+
+### Requirement 8: Info Request Simplification
+
+**User Story:** As an AI agent, I want a simple interface for quick code discovery, so that I can find relevant code with minimal parameters.
+
+#### Acceptance Criteria
+
+1. WHEN needing simple search, THE Agent SHALL use `info_request(info_request="description")`
+2. WHEN needing summaries and concepts, THE Agent SHALL set `include_explanation=true`
+3. WHEN needing relationship data (imports/calls), THE Agent SHALL set `include_relationships=true`
+4. THE Agent SHALL understand smart limits: 15 for short queries, 8 for questions, 10 default
+5. THE Agent SHALL use `info_request` for quick discovery before deeper `repo_search` dives
+
+### Requirement 9: Pattern Search Usage
+
+**User Story:** As an AI agent, I want to find structurally similar code across languages, so that I detect patterns and duplication.
+
+#### Acceptance Criteria
+
+1. WHEN finding similar control flow, THE Agent SHALL use `pattern_search` with code examples OR descriptions
+2. THE Agent SHALL use `query_mode="auto"` (default) to let the system detect code vs description
+3. WHEN searching specific target languages, THE Agent SHALL use `target_languages` filter
+4. THE Agent SHALL set `min_score=0.3` or higher to filter low-quality matches
+5. IF pattern_search is unavailable (PATTERN_VECTORS!=1), THEN THE Agent SHALL fall back to `repo_search`
+
+### Requirement 10: Git History Integration
+
+**User Story:** As an AI agent, I want to understand code evolution, so that I answer "when/why did X change" questions.
+
+#### Acceptance Criteria
+
+1. WHEN finding current implementation, THE Agent SHALL first use `repo_search` to locate relevant files
+2. WHEN summarizing recent changes, THE Agent SHALL use `change_history_for_path(path="...", include_commits=true)`
+3. WHEN finding commits for specific behavior, THE Agent SHALL use `search_commits_for(query="behavior phrase", path="...")`
+4. THE Agent SHALL read `lineage_goal`, `lineage_symbols`, `lineage_tags` from commit results
+5. WHEN explaining current behavior after finding files, THE Agent SHALL use `context_answer`
+
+### Requirement 11: Memory System Usage
+
+**User Story:** As an AI agent, I want to store and retrieve knowledge effectively, so that I build on previous work.
+
+#### Acceptance Criteria
+
+1. WHEN storing code snippets, THE Agent SHALL use `memory_store` with metadata: `{code, language, path, kind="snippet"}`
+2. WHEN storing explanations, THE Agent SHALL use `kind="explanation"` with `tags` and `topic`
+3. THE Agent SHALL set `priority` (1-10) to indicate importance (higher = more important)
+4. WHEN searching memories, THE Agent SHALL use `memory_find` with filters: `kind`, `language`, `tags`, `priority_min`
+5. THE Agent SHALL use `context_search(include_memories=true)` to blend code + memory results
+
+### Requirement 12: Cross-Repo Search
+
+**User Story:** As an AI agent, I want to search across repositories effectively, so that I find code regardless of location.
+
+#### Acceptance Criteria
+
+1. WHEN searching a single repository, THE Agent SHALL use `repo="repo-name"`
+2. WHEN searching multiple repositories, THE Agent SHALL use `repo=["frontend", "backend"]`
+3. WHEN searching all indexed repositories, THE Agent SHALL use `repo="*"`
+4. WHEN `repo` is omitted, THE Agent SHALL rely on auto-detection via CURRENT_REPO env (REPO_AUTO_FILTER=1)
+5. THE Agent SHALL specify `collection` parameter when multiple collections exist
+
+### Requirement 13: Session Management
+
+**User Story:** As an AI agent, I want to maintain session context, so that I don't repeat parameters unnecessarily.
+
+#### Acceptance Criteria
+
+1. WHEN starting a session, THE Agent SHALL call `set_session_defaults` for both indexer and memory servers
+2. THE Agent SHALL set default `collection` in session to avoid repeating it in every request
+3. THE Agent SHALL understand precedence: explicit args > per-connection defaults > token defaults > env default
+4. THE Agent SHALL use session tokens for cross-connection reuse when needed
+5. THE Agent SHALL call `set_session_defaults(collection="...", output_format="toon", compact=true)` early
+
+### Requirement 14: Query Expansion Strategy
+
+**User Story:** As an AI agent, I want to use query expansion judiciously, so that I improve results without excessive overhead.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL attempt normal search BEFORE using `expand_query` or `expand=true`
+2. WHEN initial search returns poor results, THE Agent SHALL use `expand=true` on `context_answer`
+3. THE Agent SHALL use `max_new=2` or `max_new=3` for expansion (default 3)
+4. THE Agent SHALL understand expansion uses local LLM (llama.cpp, GLM, or MiniMax) and is expensive
+5. THE Agent SHALL treat `expand_query` as a last resort, not a default
+
+### Requirement 15: Error Handling
+
+**User Story:** As an AI agent, I want to handle errors gracefully, so that I recover and continue working.
+
+#### Acceptance Criteria
+
+1. WHEN MCP tools return responses, THE Agent SHALL check the `ok` field for success/failure
+2. WHEN reranking times out, THE Agent SHALL accept fallback to hybrid-only results (still valid)
+3. WHEN decoder is disabled, THE Agent SHALL accept `context_answer` returning citations without generated text
+4. WHEN pattern_search is unavailable, THE Agent SHALL fall back to `repo_search`
+5. THE Agent SHALL parse error messages and adjust parameters accordingly
+
+### Requirement 16: Indexing and Maintenance
+
+**User Story:** As an AI agent, I want to manage indexing operations, so that the codebase stays current.
+
+#### Acceptance Criteria
+
+1. WHEN indexing entire workspace, THE Agent SHALL use `qdrant_index_root`
+2. WHEN indexing subdirectories, THE Agent SHALL use `qdrant_index(subdir="path")`
+3. WHEN recreating collections from scratch, THE Agent SHALL use `recreate=true`
+4. WHEN removing stale points (deleted files), THE Agent SHALL use `qdrant_prune`
+5. WHEN checking index health, THE Agent SHALL use `qdrant_status` for count and timestamps
+
+### Requirement 17: Workspace Discovery
+
+**User Story:** As an AI agent, I want to discover available workspaces and collections, so that I target the right codebase.
+
+#### Acceptance Criteria
+
+1. WHEN listing all collections, THE Agent SHALL use `qdrant_list`
+2. WHEN checking current workspace state, THE Agent SHALL use `workspace_info`
+3. WHEN discovering multiple workspaces, THE Agent SHALL use `list_workspaces`
+4. WHEN mapping collections to repos, THE Agent SHALL use `collection_map`
+5. THE Agent SHALL understand workspace state includes: indexing_status, indexing_config, active_repo_slug
+
+### Requirement 18: Grep Anti-Patterns
+
+**User Story:** As an AI agent, I want to recognize when grep is inappropriate, so that I use semantic search instead.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL NOT use `grep -r "auth"` (use MCP: "authentication mechanisms")
+2. THE Agent SHALL NOT use `grep -r "cache"` (use MCP: "caching strategies")
+3. THE Agent SHALL NOT use `grep -r "error"` (use MCP: "error handling patterns")
+4. THE Agent SHALL NOT use `grep -r "database"` (use MCP: "database operations")
+5. THE Agent SHALL use grep ONLY for exact literals: `grep -rn "UserAlreadyExists"`, `grep -rn "REDIS_HOST"`
+
+### Requirement 19: Advanced Reranking Features
+
+**User Story:** As an AI agent, I want to leverage reranking effectively, so that I get the most relevant results.
+
+#### Acceptance Criteria
+
+1. THE Agent SHALL use `rerank_enabled=true` (default) for complex queries needing best relevance
+2. WHEN faster results are acceptable, THE Agent SHALL set `rerank_enabled=false`
+3. THE Agent SHALL understand results include `learning_score` and `refinement_iterations` from ONNX teacher
+4. THE Agent SHALL use `rerank_top_n` to control candidate pool size (default 20)
+5. THE Agent SHALL use `rerank_return_m` to control final result count after reranking
+
+### Requirement 20: Output Format and Token Efficiency
+
+**User Story:** As an AI agent, I want to choose appropriate output formats, so that I optimize token usage.
+
+#### Acceptance Criteria
+
+1. WHEN token efficiency is critical, THE Agent SHALL use `output_format="toon"` for 60-80% reduction
+2. WHEN needing full structured data, THE Agent SHALL use `output_format="json"` (default)
+3. WHEN using `compact=true`, THE Agent SHALL expect reduced result fields (path, symbol, lines, score)
+4. THE Agent SHALL use `include_snippet=false` when only file/line references are needed
+5. THE Agent SHALL combine `compact=true` + `limit=3` + `per_path=1` for minimal discovery queries
+
+---
+
+## Tool Quick Reference
+
+### Search Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `repo_search` | General code search | `query`, `limit`, `compact`, `language`, `under`, `symbol` |
+| `code_search` | Alias for repo_search | Same as repo_search |
+| `context_search` | Code + memory blend | `include_memories`, `per_source_limits` |
+| `context_answer` | NL explanations with citations | `query`, `budget_tokens`, `temperature` |
+| `info_request` | Quick discovery (multi-granular) | `info_request`, `include_explanation` (use for broad architecture/overviews) |
+| `pattern_search` | Structural similarity | `query`, `query_mode`, `target_languages` |
+
+### Navigation Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) | `symbol`, `query_type`, `limit`, `depth` |
+| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` |
+| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` |
+| `search_importers_for` | Import references | `query`, `language` |
+| `search_tests_for` | Test files | `query`, `limit` |
+| `search_config_for` | Config files | `query`, `limit` |
+
+### History Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `change_history_for_path` | File change summary | `path`, `include_commits` |
+| `search_commits_for` | Commit search | `query`, `path`, `limit` |
+
+### Memory Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `memory_store` | Store knowledge | `information`, `metadata` |
+| `memory_find` | Search memories | `query`, `kind`, `language`, `tags` |
+
+### Admin Tools
+| Tool | Use Case | Key Parameters |
+|------|----------|----------------|
+| `qdrant_index_root` | Index workspace | `recreate` |
+| `qdrant_index` | Index subdirectory | `subdir`, `recreate` |
+| `qdrant_prune` | Remove stale points | - |
+| `qdrant_status` | Collection health | `collection` |
+| `qdrant_list` | List collections | - |
+| `workspace_info` | Workspace state | - |
+| `set_session_defaults` | Session config | `collection`, `language`, `under` |
+| `warmup_status` | Check model warmup | - |
+
+---
+
+## Agentic Optimization Patterns
+
+### Parallel Execution (CRITICAL for ROI)
+
+**Fire independent tool calls in a single message block** - this is the highest-ROI optimization.
+
+```
+# WRONG (sequential - 3x slower)
+result1 = repo_search(query="authentication")
+result2 = repo_search(query="error handling")
+result3 = symbol_graph(symbol="authenticate")
+
+# CORRECT (parallel - all at once)
+# In a single message, call all three:
+repo_search(query="authentication", limit=3, compact=true)
+repo_search(query="error handling", limit=3, compact=true)
+symbol_graph(symbol="authenticate", query_type="callers")
+# Results arrive together
+```
+
+**When to parallelize:**
+- Multiple `repo_search` calls with different queries
+- `repo_search` + `symbol_graph` for the same investigation
+- `search_tests_for` + `search_config_for` when exploring a feature
+- Any tools where results don't depend on each other
+
+### Two-Phase Search Strategy
+
+| Phase | Purpose | Parameters | When to Use |
+|-------|---------|------------|-------------|
+| **Discovery** | Find relevant areas quickly | `limit=3`, `compact=true`, `output_format="toon"`, `per_path=1` | Always start here |
+| **Deep Dive** | Get implementation details | `limit=5-8`, `include_snippet=true`, `context_lines=3-5` | After identifying targets |
+
+```
+# Phase 1: Discovery
+info_request(info_request="authentication flow", limit=3)
+# Check confidence.level - if "high", proceed; if "low", refine query
+
+# Phase 2: Deep dive on high-value targets only
+repo_search(
+  query="jwt token validation",
+  limit=5,
+  include_snippet=true,
+  context_lines=5,
+  under="src/auth"
+)
+```
+
+### Session Bootstrap
+
+**At the start of any session, set defaults to optimize all subsequent operations:**
+
+```
+# Set defaults (inherited by all subsequent calls)
+set_session_defaults(
+  output_format="toon",    # 60-80% token reduction
+  compact=true,            # Minimal result fields
+  limit=5                  # Reasonable default
+)
+```
+
+### Token Efficiency Defaults
+
+| Parameter | Discovery | Deep Dive | Notes |
+|-----------|-----------|-----------|-------|
+| `limit` | 3 | 5-8 | Start small, expand if needed |
+| `per_path` | 1 | 2 | Prevents duplicate file results |
+| `compact` | true | false | Strips verbose metadata |
+| `output_format` | "toon" | "json" | TOON saves 60-80% tokens |
+| `include_snippet` | false | true | Headers-only for discovery |
+| `context_lines` | 0 | 3-5 | Only when reading code |
+| `rerank_enabled` | true | true | Disable only for speed |
+
+### Fallback Chains
+
+When primary tools fail or timeout, use these fallback patterns:
+
+| Primary | Fallback | When |
+|---------|----------|------|
+| `context_answer` | `repo_search` + `info_request(include_explanation=true)` | Timeout or decoder unavailable |
+| `pattern_search` | `repo_search` with structural query terms | PATTERN_VECTORS not enabled |
+| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed) | Neo4j empty or unavailable |
+| `memory_find` | `context_search(include_memories=true)` | Memory server issues |
+
+```
+# Example: context_answer fallback
+result = context_answer(query="how does auth work?")
+if result.get("error") or result.get("answer") == "insufficient context":
+    # Fallback to search + explanation
+    search_result = repo_search(query="authentication implementation", limit=5)
+    explanation = info_request(info_request="authentication flow", include_explanation=true)
+```
+
+---
+
+## Advanced Features & Examples
+
+### Using Confidence Metrics
+
+The `info_request` tool returns confidence metrics including score variance analysis to help you understand search quality:
+
+```json
+// Example: Low confidence search triggers suggestion
+{
+  "query": "auth",
+  "confidence": {
+    "level": "low",
+    "score": 0.42,
+    "variance_score": 0.18,
+    "score_spread": 0.6,
+    "consistency_level": "low",
+    "coefficient_of_variation": 0.43,
+    "min_score": 0.2,
+    "max_score": 0.8,
+    "low_confidence_hint": "Try more specific terms or include function/class names for better results"
+  }
+}
+```
+
+**Interpreting Confidence Metrics:**
+- `level`: Overall confidence ("high", "medium", "low", "none")
+- `score`: Average result score
+- `consistency_level`: How similar scores are ("high" = CV<0.2, "medium" = CV 0.2-0.4, "low" = CV>0.4)
+- `coefficient_of_variation`: Relative variability (higher = more diverse results)
+- `low_confidence_hint`: Actionable suggestion when confidence is low
+
+**Agent Behavior:**
+- **Low confidence + high CV**: Results are diverse but uncertain → refine query with more specific terms
+- **High confidence + low CV**: Strong, consistent results → query is effective
+- **Low confidence + low CV**: Consistently poor results → try different search approach
+
+### Symbol Suggestions on Typo
+
+The `symbol_graph` tool provides fuzzy matching suggestions when exact symbol match fails:
+
+```json
+// Example: Typo in symbol name gets helpful suggestions
+{
+  "symbol": "getUserProf",
+  "query_type": "callers",
+  "results": [],
+  "count": 0,
+  "suggestions": ["getUserProfile", "getUser", "UserProfile"],
+  "hint": "Symbol 'getUserProf' not found. Did you mean: getUserProfile?"
+}
+```
+
+**How Suggestions Work:**
+- **Edit distance ≤2**: Catches typos like "getUSerProfile" → "getUserProfile"
+- **Prefix matching**: Partial names like "getUser" → "getUserProfile"
+- **CamelCase/snake_case tokens**: Matches "get_user_profile" to "getUserProfile"
+- **Scored ranking**: Top 3 suggestions ordered by similarity (1.0 = exact, 0.9 = prefix, 0.8 = token match, 0.6-0.8 = edit distance)
+
+**Agent Behavior:**
+- When `suggestions` field present, try the top suggestion first
+- Suggestions are cached for 60s to reduce load
+- Controlled via `SYMBOL_SUGGESTIONS_LIMIT` env (default: 3)
+
+### Score Variance Detection
+
+The `repo_search` and `context_search` tools detect high score variance and automatically expand spans for better context:
+
+```json
+// Example: High variance triggers span expansion
+{
+  "results": [
+    {"path": "auth.py", "start_line": 10, "end_line": 45, "_adaptive_expanded": true},
+    {"path": "user.py", "start_line": 20, "end_line": 35}
+  ],
+  "score_analysis": {
+    "cv": 0.45,
+    "high_variance": true,
+    "variance": 0.08,
+    "std": 0.28,
+    "mean": 0.62,
+    "adaptive_spans_used": 8
+  }
+}
+```
+
+**Variance Metrics:**
+- `cv` (Coefficient of Variation): Relative score variability (std/mean)
+- `high_variance`: Flag when CV > threshold (default 0.3)
+- `adaptive_spans_used`: Count of spans expanded to full symbol boundaries
+
+**Adaptive Behavior:**
+- **High variance (CV > 0.3)** + `ADAPTIVE_SPAN_SIZING=1`: Expands micro-chunks to full function/class boundaries
+- Max expansion: 80 lines, up to 3 spans, 40% of token budget
+- Only expands when symbol metadata available
+- Logs with `DEBUG_ADAPTIVE_SPAN=1`
+
+**Environment Variables:**
+```bash
+SCORE_VARIANCE_THRESHOLD=0.3    # CV threshold for high_variance flag
+VARIANCE_SPAN_EXPANSION=1.5     # Span multiplier when high variance
+ADAPTIVE_SPAN_SIZING=1          # Enable/disable adaptive expansion
+```
+
+### Intent Confidence Analysis
+
+Intent classification logs all queries to JSONL for offline analysis:
+
+```bash
+# Analyze intent classification quality over last 7 days
+python scripts/analyze_intent_confidence.py --days 7
+
+# Output example:
+# ================================================================================
+# INTENT CONFIDENCE ANALYSIS
+# ================================================================================
+#
+# Total Events: 1,247
+#
+# Strategy Distribution:
+#   rules     :   823 (66.0%)
+#   ml        :   424 (34.0%)
+#
+# Intent Distribution:
+#   search            :   512 (41.1%)
+#   answer            :   302 (24.2%)
+#   search_tests      :   156 (12.5%)
+#   symbol_graph      :   134 (10.7%)
+#   memory_find       :    89 ( 7.1%)
+#
+# Average Confidence: 0.78
+# Fallback Rate (ML → search): 12%
+#
+# Top 10 Low-Confidence Queries:
+#   1. [0.23] "show implementation..." → search (top: answer)
+#   2. [0.24] "where is cache..." → search (top: answer)
+#   3. [0.26] "find config for..." → search (top: search_config)
+#   ...
+```
+
+**Event Log Format (JSONL):**
+```json
+{
+  "timestamp": 1704974400.0,
+  "query": "find tests for authentication",
+  "intent": "search_tests",
+  "confidence": 1.0,
+  "strategy": "rules",
+  "threshold": null,
+  "candidates": []
+}
+```
+
+**Environment Variables:**
+```bash
+INTENT_TRACKING_ENABLED=1        # Enable event logging (default: 1)
+INTENT_EVENTS_DIR=./events       # Log directory (default: ./events)
+INTENT_LOG_ROTATE_MB=100         # Max file size before rotation
+```
+
+**Agent Behavior:**
+- **Low confidence (<0.4)**: Query may be ambiguous → check `candidates` for alternatives
+- **High fallback rate**: Rules may need tuning → review top fallback queries
+- **Strategy="rules"**: Fast, deterministic classification (confidence=1.0)
+- **Strategy="ml"**: Semantic embedding-based fallback (confidence=0.0-1.0)
+
+**Use Cases:**
+- Monitor classification accuracy over time
+- Identify queries that need better rule coverage
+- Tune confidence thresholds based on real usage
+- Debug misclassifications with full candidate scores
+
+### Neo4j Graph Query Types
+
+The `neo4j_graph_query` tool provides advanced graph traversals that are **impossible with grep**:
+
+| Query Type | Description | Example |
+|------------|-------------|---------|
+| `callers` | Who calls this symbol? (depth 1) | `neo4j_graph_query(symbol="authenticate", query_type="callers")` |
+| `callees` | What does this symbol call? (depth 1) | `neo4j_graph_query(symbol="main", query_type="callees")` |
+| `transitive_callers` | Multi-hop callers (up to depth) | `neo4j_graph_query(symbol="get_embedding_model", query_type="transitive_callers", depth=2)` |
+| `transitive_callees` | Multi-hop callees (up to depth) | `neo4j_graph_query(symbol="init", query_type="transitive_callees", depth=3)` |
+| `impact` | What breaks if I change this? | `neo4j_graph_query(symbol="normalize_path", query_type="impact", depth=2)` |
+| `dependencies` | What does this depend on? | `neo4j_graph_query(symbol="run_hybrid_search", query_type="dependencies")` |
+| `cycles` | Detect circular dependencies | `neo4j_graph_query(symbol="ServiceA", query_type="cycles")` |
+
+**Key Parameters:**
+- `symbol`: The function, class, or module to analyze
+- `query_type`: One of the above query types
+- `depth`: Traversal depth for transitive queries (default 1, max ~5)
+- `limit`: Maximum results (default 50)
+- `include_paths`: Include full traversal paths in results
+- `repo`: Filter by repository name
+
+**ROI vs Grep:**
+| Metric | Grep | Neo4j Graph | ROI |
+|--------|------|-------------|-----|
+| Multi-hop callers | Impossible | 80ms | ∞ |
+| Impact analysis | 10+ iterations | 1 call, 3ms | 10x |
+| Noise filtering | Manual | Automatic | 90%+ reduction |
+| Time for simple lookup | 3-5s | 80ms | 40x faster |
+
+**Example Response:**
+```json
+{
+  "ok": true,
+  "results": [
+    {"symbol": "main", "hop": 1, "path_nodes": ["main", "normalize_path"], "repo": "work"},
+    {"symbol": "evaluate_query", "hop": 2, "path_nodes": ["evaluate_query", "matches_relevant", "normalize_path"]}
+  ],
+  "total": 4,
+  "query": {"query_type": "impact", "symbol": "normalize_path", "depth": 2},
+  "backend": "neo4j",
+  "query_time_ms": 3.43
+}
+```

From d37ef250ec5c23f5ccc3f0e33ca619606525acdf Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 07:52:36 -0500
Subject: [PATCH 04/10] Clarify MCP tool usage and update mcp dependency

Expanded documentation in .cursorrules, GEMINI.md, and SKILL.md to emphasize that 'symbol_graph' is the default and always-available tool for code graph queries, and clarified when to use or avoid 'neo4j_graph_query', grep, and file reading. Updated mcp version in pyproject.toml and requirements.txt for consistency. Added uv.lock for dependency management.
---
 .cursorrules                   |   67 +-
 GEMINI.md                      |   67 +-
 pyproject.toml                 |    2 +-
 requirements.txt               |    2 +-
 skills/context-engine/SKILL.md |   52 +-
 uv.lock                        | 4012 ++++++++++++++++++++++++++++++++
 6 files changed, 4135 insertions(+), 67 deletions(-)
 create mode 100644 uv.lock

diff --git a/.cursorrules b/.cursorrules
index 182d54e1..486385ff 100644
--- a/.cursorrules
+++ b/.cursorrules
@@ -2,6 +2,17 @@
 
 > **These rules are NOT optional.** Favor MCP Qdrant-Indexer tooling at all costs over grep, file reading, and unrelated codebase search tools.
 
+## STOP — Read This First
+
+**DO NOT use `Read File`, `grep`, `ripgrep`, `cat`, `find`, or any filesystem search tool for code exploration.**
+These tools exist in your IDE but they are WRONG for this codebase. You have MCP tools that are faster, smarter, and return ranked, contextual results.
+
+**If you catch yourself about to `Read` a file to understand it** → use `repo_search` or `context_answer` instead.
+**If you catch yourself about to `grep` for a symbol** → use `symbol_graph` or `search_callers_for` instead.
+**If you catch yourself about to `grep -r` for a concept** → use `repo_search` with a natural language query instead.
+
+The ONLY acceptable use of `grep`/`Read` is confirming an exact literal string you already know exists (e.g., an env var name like `REDIS_HOST`).
+
 ## Introduction
 
 This document defines requirements for AI agents using Context-Engine's MCP tools. The system provides two MCP servers (Memory Server on port 8000/8002, Indexer Server on port 8001/8003) with 30+ specialized tools for semantic code search, memory storage, and codebase exploration.
@@ -71,10 +82,12 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. WHEN needing quick discovery with summaries, THE Agent SHALL use `info_request` with `include_explanation=true`
 5. WHEN finding structurally similar patterns across languages, THE Agent SHALL use `pattern_search`
 
-### Requirement 5: Symbol Graph Navigation
+### Requirement 5: Symbol Graph Navigation (DEFAULT for all graph queries)
 
 **User Story:** As an AI agent, I want to navigate code relationships efficiently, so that I understand call graphs and dependencies.
 
+> **IMPORTANT:** `symbol_graph` is the DEFAULT and ALWAYS-AVAILABLE tool for graph queries. It works with the Qdrant-backed symbol index — no Neo4j required. Use `symbol_graph` FIRST for any caller/definition/importer query. Do NOT attempt `neo4j_graph_query` unless you know Neo4j is enabled.
+
 #### Acceptance Criteria
 
 1. WHEN finding who calls a function, THE Agent SHALL use `symbol_graph(symbol="name", query_type="callers")`
@@ -83,19 +96,23 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. THE Agent SHALL prefer `symbol_graph` over `search_callers_for` for structured navigation with metadata
 5. THE Agent SHALL use `language` and `under` filters to narrow symbol graph results
 6. WHEN needing multi-hop traversals, THE Agent SHALL use `symbol_graph` with `depth=2` or `depth=3`
+7. **THE Agent SHALL default to `symbol_graph` for ALL graph/relationship queries.** It is always available regardless of Neo4j status.
+8. THE Agent SHALL NOT attempt `neo4j_graph_query` unless the tool is visible in the MCP tool list (it only registers when `NEO4J_GRAPH=1`)
 
-### Requirement 5b: Neo4j Advanced Graph Queries
+### Requirement 5b: Neo4j Advanced Graph Queries (OPTIONAL — only when NEO4J_GRAPH=1)
 
-**User Story:** As an AI agent, I want to perform advanced graph traversals that grep cannot do, so that I understand impact, dependencies, and circular references.
+**User Story:** As an AI agent, I want to perform advanced graph traversals when Neo4j is available, so that I understand impact, dependencies, and circular references.
+
+> **NOTE:** The `neo4j_graph_query` tool is ONLY available when `NEO4J_GRAPH=1` is set. If this tool is not in your MCP tool list, it is NOT enabled — use `symbol_graph` instead for all graph queries. Do NOT error or warn about missing Neo4j; just use `symbol_graph`.
 
 #### Acceptance Criteria
 
-1. WHEN needing multi-hop callers (callers of callers), THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
-2. WHEN analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
-3. WHEN finding all dependencies of a function, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
-4. WHEN detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
-5. THE Agent SHALL prefer `neo4j_graph_query` over repeated grep when structural traversal is needed
-6. THE Agent SHALL understand that `neo4j_graph_query` provides 10-40x speedup over grep for caller lookups and enables queries that are IMPOSSIBLE with grep
+1. WHEN `neo4j_graph_query` IS available AND needing multi-hop callers, THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
+2. WHEN `neo4j_graph_query` IS available AND analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
+3. WHEN `neo4j_graph_query` IS available AND finding all dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
+4. WHEN `neo4j_graph_query` IS available AND detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
+5. WHEN `neo4j_graph_query` IS NOT available, THE Agent SHALL fall back to `symbol_graph` for callers/definitions/importers queries
+6. THE Agent SHALL NEVER error or complain about Neo4j being unavailable — just use `symbol_graph`
 
 ### Requirement 6: Specialized Search Tools
 
@@ -241,9 +258,9 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. WHEN mapping collections to repos, THE Agent SHALL use `collection_map`
 5. THE Agent SHALL understand workspace state includes: indexing_status, indexing_config, active_repo_slug
 
-### Requirement 18: Grep Anti-Patterns
+### Requirement 18: Grep and File Read Anti-Patterns
 
-**User Story:** As an AI agent, I want to recognize when grep is inappropriate, so that I use semantic search instead.
+**User Story:** As an AI agent, I want to recognize when grep and file reading are inappropriate, so that I use semantic search instead.
 
 #### Acceptance Criteria
 
@@ -252,6 +269,11 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 3. THE Agent SHALL NOT use `grep -r "error"` (use MCP: "error handling patterns")
 4. THE Agent SHALL NOT use `grep -r "database"` (use MCP: "database operations")
 5. THE Agent SHALL use grep ONLY for exact literals: `grep -rn "UserAlreadyExists"`, `grep -rn "REDIS_HOST"`
+6. THE Agent SHALL NOT use `Read File` to understand what a file does — use `repo_search` or `context_answer` with the filename in the query
+7. THE Agent SHALL NOT use `Read File` to find callers/imports — use `symbol_graph` instead
+8. THE Agent SHALL NOT open files to "browse" the codebase — use `info_request` or `repo_search` for discovery
+9. THE Agent SHALL NOT use `find` or `ls` to discover project structure — use `workspace_info` or `qdrant_status`
+10. THE ONLY acceptable uses of `Read File` are: (a) editing a file you already located via MCP, (b) reading config files you know the exact path of
 
 ### Requirement 19: Advanced Reranking Features
 
@@ -292,14 +314,14 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 | `pattern_search` | Structural similarity | `query`, `query_mode`, `target_languages` |
 
 ### Navigation Tools
-| Tool | Use Case | Key Parameters |
-|------|----------|----------------|
-| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) | `symbol`, `query_type`, `limit`, `depth` |
-| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` |
-| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` |
-| `search_importers_for` | Import references | `query`, `language` |
-| `search_tests_for` | Test files | `query`, `limit` |
-| `search_config_for` | Config files | `query`, `limit` |
+| Tool | Use Case | Key Parameters | Availability |
+|------|----------|----------------|--------------|
+| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) — **DEFAULT for all graph queries** | `symbol`, `query_type`, `limit`, `depth` | **Always available** |
+| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` | Only when `NEO4J_GRAPH=1` |
+| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` | Always available |
+| `search_importers_for` | Import references | `query`, `language` | Always available |
+| `search_tests_for` | Test files | `query`, `limit` | Always available |
+| `search_config_for` | Config files | `query`, `limit` | Always available |
 
 ### History Tools
 | Tool | Use Case | Key Parameters |
@@ -408,8 +430,9 @@ When primary tools fail or timeout, use these fallback patterns:
 |---------|----------|------|
 | `context_answer` | `repo_search` + `info_request(include_explanation=true)` | Timeout or decoder unavailable |
 | `pattern_search` | `repo_search` with structural query terms | PATTERN_VECTORS not enabled |
-| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed) | Neo4j empty or unavailable |
+| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed, ALWAYS available) | Neo4j not enabled (`NEO4J_GRAPH!=1`) or unavailable — **this is the DEFAULT** |
 | `memory_find` | `context_search(include_memories=true)` | Memory server issues |
+| `grep` / `Read File` | `repo_search`, `symbol_graph`, `info_request` | **ALWAYS** — do not use grep/read for exploration |
 
 ```
 # Example: context_answer fallback
@@ -593,7 +616,9 @@ INTENT_LOG_ROTATE_MB=100         # Max file size before rotation
 - Tune confidence thresholds based on real usage
 - Debug misclassifications with full candidate scores
 
-### Neo4j Graph Query Types
+### Neo4j Graph Query Types (ONLY when NEO4J_GRAPH=1)
+
+> **If `neo4j_graph_query` is not in your MCP tool list, skip this section entirely. Use `symbol_graph` for all graph queries instead.**
 
 The `neo4j_graph_query` tool provides advanced graph traversals that are **impossible with grep**:
 
diff --git a/GEMINI.md b/GEMINI.md
index 182d54e1..486385ff 100644
--- a/GEMINI.md
+++ b/GEMINI.md
@@ -2,6 +2,17 @@
 
 > **These rules are NOT optional.** Favor MCP Qdrant-Indexer tooling at all costs over grep, file reading, and unrelated codebase search tools.
 
+## STOP — Read This First
+
+**DO NOT use `Read File`, `grep`, `ripgrep`, `cat`, `find`, or any filesystem search tool for code exploration.**
+These tools exist in your IDE but they are WRONG for this codebase. You have MCP tools that are faster, smarter, and return ranked, contextual results.
+
+**If you catch yourself about to `Read` a file to understand it** → use `repo_search` or `context_answer` instead.
+**If you catch yourself about to `grep` for a symbol** → use `symbol_graph` or `search_callers_for` instead.
+**If you catch yourself about to `grep -r` for a concept** → use `repo_search` with a natural language query instead.
+
+The ONLY acceptable use of `grep`/`Read` is confirming an exact literal string you already know exists (e.g., an env var name like `REDIS_HOST`).
+
 ## Introduction
 
 This document defines requirements for AI agents using Context-Engine's MCP tools. The system provides two MCP servers (Memory Server on port 8000/8002, Indexer Server on port 8001/8003) with 30+ specialized tools for semantic code search, memory storage, and codebase exploration.
@@ -71,10 +82,12 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. WHEN needing quick discovery with summaries, THE Agent SHALL use `info_request` with `include_explanation=true`
 5. WHEN finding structurally similar patterns across languages, THE Agent SHALL use `pattern_search`
 
-### Requirement 5: Symbol Graph Navigation
+### Requirement 5: Symbol Graph Navigation (DEFAULT for all graph queries)
 
 **User Story:** As an AI agent, I want to navigate code relationships efficiently, so that I understand call graphs and dependencies.
 
+> **IMPORTANT:** `symbol_graph` is the DEFAULT and ALWAYS-AVAILABLE tool for graph queries. It works with the Qdrant-backed symbol index — no Neo4j required. Use `symbol_graph` FIRST for any caller/definition/importer query. Do NOT attempt `neo4j_graph_query` unless you know Neo4j is enabled.
+
 #### Acceptance Criteria
 
 1. WHEN finding who calls a function, THE Agent SHALL use `symbol_graph(symbol="name", query_type="callers")`
@@ -83,19 +96,23 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. THE Agent SHALL prefer `symbol_graph` over `search_callers_for` for structured navigation with metadata
 5. THE Agent SHALL use `language` and `under` filters to narrow symbol graph results
 6. WHEN needing multi-hop traversals, THE Agent SHALL use `symbol_graph` with `depth=2` or `depth=3`
+7. **THE Agent SHALL default to `symbol_graph` for ALL graph/relationship queries.** It is always available regardless of Neo4j status.
+8. THE Agent SHALL NOT attempt `neo4j_graph_query` unless the tool is visible in the MCP tool list (it only registers when `NEO4J_GRAPH=1`)
 
-### Requirement 5b: Neo4j Advanced Graph Queries
+### Requirement 5b: Neo4j Advanced Graph Queries (OPTIONAL — only when NEO4J_GRAPH=1)
 
-**User Story:** As an AI agent, I want to perform advanced graph traversals that grep cannot do, so that I understand impact, dependencies, and circular references.
+**User Story:** As an AI agent, I want to perform advanced graph traversals when Neo4j is available, so that I understand impact, dependencies, and circular references.
+
+> **NOTE:** The `neo4j_graph_query` tool is ONLY available when `NEO4J_GRAPH=1` is set. If this tool is not in your MCP tool list, it is NOT enabled — use `symbol_graph` instead for all graph queries. Do NOT error or warn about missing Neo4j; just use `symbol_graph`.
 
 #### Acceptance Criteria
 
-1. WHEN needing multi-hop callers (callers of callers), THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
-2. WHEN analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
-3. WHEN finding all dependencies of a function, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
-4. WHEN detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
-5. THE Agent SHALL prefer `neo4j_graph_query` over repeated grep when structural traversal is needed
-6. THE Agent SHALL understand that `neo4j_graph_query` provides 10-40x speedup over grep for caller lookups and enables queries that are IMPOSSIBLE with grep
+1. WHEN `neo4j_graph_query` IS available AND needing multi-hop callers, THE Agent SHALL use `neo4j_graph_query(query_type="transitive_callers", symbol="name", depth=2)`
+2. WHEN `neo4j_graph_query` IS available AND analyzing "what would break if I change X?", THE Agent SHALL use `neo4j_graph_query(query_type="impact", symbol="name", depth=2)`
+3. WHEN `neo4j_graph_query` IS available AND finding all dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="dependencies", symbol="name")`
+4. WHEN `neo4j_graph_query` IS available AND detecting circular dependencies, THE Agent SHALL use `neo4j_graph_query(query_type="cycles", symbol="name")`
+5. WHEN `neo4j_graph_query` IS NOT available, THE Agent SHALL fall back to `symbol_graph` for callers/definitions/importers queries
+6. THE Agent SHALL NEVER error or complain about Neo4j being unavailable — just use `symbol_graph`
 
 ### Requirement 6: Specialized Search Tools
 
@@ -241,9 +258,9 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 4. WHEN mapping collections to repos, THE Agent SHALL use `collection_map`
 5. THE Agent SHALL understand workspace state includes: indexing_status, indexing_config, active_repo_slug
 
-### Requirement 18: Grep Anti-Patterns
+### Requirement 18: Grep and File Read Anti-Patterns
 
-**User Story:** As an AI agent, I want to recognize when grep is inappropriate, so that I use semantic search instead.
+**User Story:** As an AI agent, I want to recognize when grep and file reading are inappropriate, so that I use semantic search instead.
 
 #### Acceptance Criteria
 
@@ -252,6 +269,11 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 3. THE Agent SHALL NOT use `grep -r "error"` (use MCP: "error handling patterns")
 4. THE Agent SHALL NOT use `grep -r "database"` (use MCP: "database operations")
 5. THE Agent SHALL use grep ONLY for exact literals: `grep -rn "UserAlreadyExists"`, `grep -rn "REDIS_HOST"`
+6. THE Agent SHALL NOT use `Read File` to understand what a file does — use `repo_search` or `context_answer` with the filename in the query
+7. THE Agent SHALL NOT use `Read File` to find callers/imports — use `symbol_graph` instead
+8. THE Agent SHALL NOT open files to "browse" the codebase — use `info_request` or `repo_search` for discovery
+9. THE Agent SHALL NOT use `find` or `ls` to discover project structure — use `workspace_info` or `qdrant_status`
+10. THE ONLY acceptable uses of `Read File` are: (a) editing a file you already located via MCP, (b) reading config files you know the exact path of
 
 ### Requirement 19: Advanced Reranking Features
 
@@ -292,14 +314,14 @@ This document defines requirements for AI agents using Context-Engine's MCP tool
 | `pattern_search` | Structural similarity | `query`, `query_mode`, `target_languages` |
 
 ### Navigation Tools
-| Tool | Use Case | Key Parameters |
-|------|----------|----------------|
-| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) | `symbol`, `query_type`, `limit`, `depth` |
-| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` |
-| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` |
-| `search_importers_for` | Import references | `query`, `language` |
-| `search_tests_for` | Test files | `query`, `limit` |
-| `search_config_for` | Config files | `query`, `limit` |
+| Tool | Use Case | Key Parameters | Availability |
+|------|----------|----------------|--------------|
+| `symbol_graph` | Call/import/definition graphs (hydrated w/ snippets) — **DEFAULT for all graph queries** | `symbol`, `query_type`, `limit`, `depth` | **Always available** |
+| `neo4j_graph_query` | Advanced traversals (impact, transitive, cycles) | `symbol`, `query_type`, `depth`, `limit` | Only when `NEO4J_GRAPH=1` |
+| `search_callers_for` | Symbol usages (heuristic) | `query`, `language` | Always available |
+| `search_importers_for` | Import references | `query`, `language` | Always available |
+| `search_tests_for` | Test files | `query`, `limit` | Always available |
+| `search_config_for` | Config files | `query`, `limit` | Always available |
 
 ### History Tools
 | Tool | Use Case | Key Parameters |
@@ -408,8 +430,9 @@ When primary tools fail or timeout, use these fallback patterns:
 |---------|----------|------|
 | `context_answer` | `repo_search` + `info_request(include_explanation=true)` | Timeout or decoder unavailable |
 | `pattern_search` | `repo_search` with structural query terms | PATTERN_VECTORS not enabled |
-| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed) | Neo4j empty or unavailable |
+| `neo4j_graph_query` | `symbol_graph` (Qdrant-backed, ALWAYS available) | Neo4j not enabled (`NEO4J_GRAPH!=1`) or unavailable — **this is the DEFAULT** |
 | `memory_find` | `context_search(include_memories=true)` | Memory server issues |
+| `grep` / `Read File` | `repo_search`, `symbol_graph`, `info_request` | **ALWAYS** — do not use grep/read for exploration |
 
 ```
 # Example: context_answer fallback
@@ -593,7 +616,9 @@ INTENT_LOG_ROTATE_MB=100         # Max file size before rotation
 - Tune confidence thresholds based on real usage
 - Debug misclassifications with full candidate scores
 
-### Neo4j Graph Query Types
+### Neo4j Graph Query Types (ONLY when NEO4J_GRAPH=1)
+
+> **If `neo4j_graph_query` is not in your MCP tool list, skip this section entirely. Use `symbol_graph` for all graph queries instead.**
 
 The `neo4j_graph_query` tool provides advanced graph traversals that are **impossible with grep**:
 
diff --git a/pyproject.toml b/pyproject.toml
index abef2155..07b78dde 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,7 +46,7 @@ dependencies = [
     "tree_sitter_html>=0.23.0",
     "tree_sitter_css>=0.23.0",
     "tree_sitter_markdown>=0.5.0",
-    "mcp==1.17.0",
+    "mcp==1.23.0",
     "fastmcp==2.12.4",
     "fastapi",
     "uvicorn[standard]",
diff --git a/requirements.txt b/requirements.txt
index d603d3c6..9465c547 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -33,7 +33,7 @@ tree_sitter_kotlin>=1.1.0
 tree_sitter_swift>=0.0.1
 tree_sitter_scala>=0.24.0
 tree_sitter_php>=0.24.0
-mcp==1.25.0
+mcp==1.23.0
 fastmcp==2.12.4
 fastapi
 uvicorn[standard]
diff --git a/skills/context-engine/SKILL.md b/skills/context-engine/SKILL.md
index 7c9a800a..ba2f9591 100644
--- a/skills/context-engine/SKILL.md
+++ b/skills/context-engine/SKILL.md
@@ -33,13 +33,14 @@ What do you need?
     |
     +-- Find relationships
     |       |
-    |       +-- Who calls this function --> search_callers_for OR symbol_graph
-    |       +-- Who imports this module --> search_importers_for
-    |       +-- Symbol graph navigation (callers/defs/importers) --> symbol_graph
-    |       +-- Multi-hop callers (callers of callers) --> neo4j_graph_query (transitive_callers)
-    |       +-- Impact analysis (what breaks if I change X) --> neo4j_graph_query (impact)
-    |       +-- Dependency graph --> neo4j_graph_query (dependencies)
-    |       +-- Circular dependency detection --> neo4j_graph_query (cycles)
+    |       +-- Who calls this function --> symbol_graph (DEFAULT, always available)
+    |       +-- Who imports this module --> symbol_graph OR search_importers_for
+    |       +-- Where is this defined --> symbol_graph (query_type="definition")
+    |       +-- Symbol graph navigation (callers/defs/importers) --> symbol_graph (ALWAYS use this first)
+    |       +-- Multi-hop callers (callers of callers) --> symbol_graph (depth=2+) OR neo4j_graph_query (if NEO4J_GRAPH=1)
+    |       +-- Impact analysis (what breaks if I change X) --> neo4j_graph_query (ONLY if available)
+    |       +-- Dependency graph --> neo4j_graph_query (ONLY if available)
+    |       +-- Circular dependency detection --> neo4j_graph_query (ONLY if available)
     |
     +-- Git history --> search_commits_for
     |
@@ -246,7 +247,10 @@ The `query_signature` encodes control flow: `L` (loops), `B` (branches), `T` (tr
 - If there are no graph hits, it falls back to semantic search.
 - **Note**: Results are "hydrated" with ~500-char source snippets for immediate context.
 
-**neo4j_graph_query** - Advanced graph traversals (requires NEO4J_GRAPH=1):
+**neo4j_graph_query** - Advanced graph traversals (OPTIONAL — ONLY available when NEO4J_GRAPH=1):
+
+> **If `neo4j_graph_query` is not in your MCP tool list, it is NOT enabled. Use `symbol_graph` for all graph queries instead. Do NOT error or warn about missing Neo4j.**
+
 ```json
 {"symbol": "normalize_path", "query_type": "impact", "depth": 2}
 ```
@@ -257,7 +261,7 @@ The `query_signature` encodes control flow: `L` (loops), `B` (branches), `T` (tr
 {"symbol": "run_hybrid_search", "query_type": "dependencies", "limit": 15}
 ```
 
-**Query types:**
+**Query types (only when neo4j_graph_query is available):**
 | Type | Description |
 |------|-------------|
 | `callers` | Who calls this symbol? (depth 1) |
@@ -400,18 +404,20 @@ Common issues:
 
 ## Best Practices
 
-1. **Start broad, then filter** - Begin with a semantic query, add filters if too many results
-2. **Use multi-query** - Pass 2-3 query variations for better recall on complex searches
-3. **Include snippets** - Set `include_snippet: true` to see code context in results
-4. **Store decisions** - Use `memory_store` to save architectural decisions and context for later
-5. **Check index health** - Run `qdrant_status` if searches return unexpected results
-6. **Prune after refactors** - Run `qdrant_prune` after moving/deleting files
-7. **Index before search** - Always run `qdrant_index_root` on first use or after cloning a repo
-8. **Use pattern_search for structural matching** - When looking for code with similar control flow (retry loops, error handling), use `pattern_search` instead of `repo_search` (if enabled)
-9. **Describe patterns in natural language** - `pattern_search` understands "retry with backoff" just as well as actual code examples (if enabled)
-10. **Fire independent searches in parallel** - Call multiple `repo_search`, `symbol_graph`, etc. in the same message block for 2-3x speedup
-11. **Use TOON format for discovery** - Set `output_format: "toon"` for 60-80% token reduction on exploratory queries
-12. **Bootstrap sessions with defaults** - Call `set_session_defaults(output_format="toon", compact=true)` early to avoid repeating params
-13. **Two-phase search** - Discovery first (`limit=3, compact=true`), then deep dive (`limit=5-8, include_snippet=true`) on targets
-14. **Use fallback chains** - If `context_answer` times out, fall back to `repo_search` + `info_request(include_explanation=true)`
+1. **NEVER use Read File or grep for exploration** - Use MCP tools (`repo_search`, `symbol_graph`, `context_answer`) instead. The ONLY acceptable use of Read/grep is confirming exact literal strings.
+2. **Default to `symbol_graph` for all graph queries** - It is always available. Only use `neo4j_graph_query` if the tool appears in your MCP tool list.
+3. **Start broad, then filter** - Begin with a semantic query, add filters if too many results
+4. **Use multi-query** - Pass 2-3 query variations for better recall on complex searches
+5. **Include snippets** - Set `include_snippet: true` to see code context in results
+6. **Store decisions** - Use `memory_store` to save architectural decisions and context for later
+7. **Check index health** - Run `qdrant_status` if searches return unexpected results
+8. **Prune after refactors** - Run `qdrant_prune` after moving/deleting files
+9. **Index before search** - Always run `qdrant_index_root` on first use or after cloning a repo
+10. **Use pattern_search for structural matching** - When looking for code with similar control flow (retry loops, error handling), use `pattern_search` instead of `repo_search` (if enabled)
+11. **Describe patterns in natural language** - `pattern_search` understands "retry with backoff" just as well as actual code examples (if enabled)
+12. **Fire independent searches in parallel** - Call multiple `repo_search`, `symbol_graph`, etc. in the same message block for 2-3x speedup
+13. **Use TOON format for discovery** - Set `output_format: "toon"` for 60-80% token reduction on exploratory queries
+14. **Bootstrap sessions with defaults** - Call `set_session_defaults(output_format="toon", compact=true)` early to avoid repeating params
+15. **Two-phase search** - Discovery first (`limit=3, compact=true`), then deep dive (`limit=5-8, include_snippet=true`) on targets
+16. **Use fallback chains** - If `context_answer` times out, fall back to `repo_search` + `info_request(include_explanation=true)`
 
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+    { url = "https://files.pythonhosted.org/packages/0f/c9/7243eb3f9eaabd1a88a5a5acadf06df2d83b100c62684b7425c6a11bcaa8/xxhash-3.6.0-cp314-cp314t-win_arm64.whl", hash = "sha256:bb79b1e63f6fd84ec778a4b1916dfe0a7c3fdb986c06addd5db3a0d413819d95", size = 28898, upload-time = "2025-10-02T14:36:17.843Z" },
+    { url = "https://files.pythonhosted.org/packages/93/1e/8aec23647a34a249f62e2398c42955acd9b4c6ed5cf08cbea94dc46f78d2/xxhash-3.6.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0f7b7e2ec26c1666ad5fc9dbfa426a6a3367ceaf79db5dd76264659d509d73b0", size = 30662, upload-time = "2025-10-02T14:37:01.743Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/0b/b14510b38ba91caf43006209db846a696ceea6a847a0c9ba0a5b1adc53d6/xxhash-3.6.0-pp311-pypy311_pp73-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:5dc1e14d14fa0f5789ec29a7062004b5933964bb9b02aae6622b8f530dc40296", size = 41056, upload-time = "2025-10-02T14:37:02.879Z" },
+    { url = "https://files.pythonhosted.org/packages/50/55/15a7b8a56590e66ccd374bbfa3f9ffc45b810886c8c3b614e3f90bd2367c/xxhash-3.6.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:881b47fc47e051b37d94d13e7455131054b56749b91b508b0907eb07900d1c13", size = 36251, upload-time = "2025-10-02T14:37:04.44Z" },
+    { url = "https://files.pythonhosted.org/packages/62/b2/5ac99a041a29e58e95f907876b04f7067a0242cb85b5f39e726153981503/xxhash-3.6.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6dc31591899f5e5666f04cc2e529e69b4072827085c1ef15294d91a004bc1bd", size = 32481, upload-time = "2025-10-02T14:37:05.869Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/d9/8d95e906764a386a3d3b596f3c68bb63687dfca806373509f51ce8eea81f/xxhash-3.6.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:15e0dac10eb9309508bfc41f7f9deaa7755c69e35af835db9cb10751adebc35d", size = 31565, upload-time = "2025-10-02T14:37:06.966Z" },
+]
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
+]

From 5f343bfb3d8f660b826967b556780c9381e1c985 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 07:53:58 -0500
Subject: [PATCH 05/10] Clarify MCP tool usage and discourage grep/file reads

Updated SKILL.md and CLAUDE.example.md to explicitly discourage using grep, Read File, and similar filesystem tools for code exploration. Added clear guidance to always prefer MCP tools (repo_search, symbol_graph, etc.) for exploration, debugging, and structural queries, reserving literal search/file reads only for exact string matches or files already located via MCP. Clarified tool availability and fallback behavior for symbol_graph and neo4j_graph_query.
---
 .skills/mcp-tool-selection/SKILL.md | 29 +++++++++++++++++++++++++----
 docs/CLAUDE.example.md              | 24 ++++++++++++++++++++++--
 2 files changed, 47 insertions(+), 6 deletions(-)

diff --git a/.skills/mcp-tool-selection/SKILL.md b/.skills/mcp-tool-selection/SKILL.md
index 8f1ea7df..62d777ab 100644
--- a/.skills/mcp-tool-selection/SKILL.md
+++ b/.skills/mcp-tool-selection/SKILL.md
@@ -7,6 +7,18 @@ description: Decision rules for when to use MCP Qdrant-Indexer semantic search v
 
 **Core principle:** MCP Qdrant-Indexer tools are primary for exploring code and history. Start with MCP for exploration, debugging, or "where/why" questions; use literal search/file-open only for narrow exact-literal lookups.
 
+## STOP — Do NOT Use Read File or Grep for Exploration
+
+**DO NOT use `Read File`, `grep`, `ripgrep`, `cat`, `find`, or any filesystem search tool for code exploration.**
+You have MCP tools that are faster, smarter, and return ranked, contextual results.
+
+- About to `Read` a file to understand it? → use `repo_search` or `context_answer`
+- About to `grep` for a symbol? → use `symbol_graph` or `search_callers_for`
+- About to `grep -r` for a concept? → use `repo_search` with natural language
+- About to `find`/`ls` for project structure? → use `workspace_info` or `qdrant_status`
+
+The ONLY acceptable use of grep/Read: confirming exact literal strings (e.g., `REDIS_HOST`), or reading a file you already located via MCP for editing.
+
 ## Use MCP Qdrant-Indexer When
 
 - Exploring or don't know exact strings/symbols
@@ -14,6 +26,7 @@ description: Decision rules for when to use MCP Qdrant-Indexer semantic search v
 - Want ranked results with surrounding context, not just line hits
 - Asking conceptual/architectural or "where/why" behavior questions
 - Need rich context/snippets around matches
+- Finding callers, definitions, or importers of any symbol
 
 ## Use Literal Search/File-Open Only When
 
@@ -27,6 +40,10 @@ grep -r "auth" .        # → Use MCP: "authentication mechanisms"
 grep -r "cache" .       # → Use MCP: "caching strategies"  
 grep -r "error" .       # → Use MCP: "error handling patterns"
 grep -r "database" .    # → Use MCP: "database operations"
+# Also DON'T:
+Read File to understand a module  # → Use repo_search or context_answer
+Read File to find callers         # → Use symbol_graph
+find/ls for project structure     # → Use workspace_info
 ```
 
 ## Literal Search Patterns (DO)
@@ -42,14 +59,18 @@ grep -rn "REDIS_HOST" .             # Exact environment variable
 | Question Type | Tool |
 |--------------|------|
 | "Where is X implemented?" | MCP `repo_search` |
-| "Who calls this and show code?" | MCP `symbol_graph` (hydrated w/ snippets) |
-| "Callers of callers? Multi-hop?" | MCP `neo4j_graph_query` (transitive_callers, depth=2) |
-| "What breaks if I change X?" | MCP `neo4j_graph_query` (impact, depth=2) |
-| "Circular dependencies?" | MCP `neo4j_graph_query` (cycles) |
+| "Who calls this and show code?" | MCP `symbol_graph` — **DEFAULT for all graph queries, always available** |
+| "Where is X defined?" | MCP `symbol_graph` (query_type="definition") |
+| "What imports X?" | MCP `symbol_graph` (query_type="importers") |
+| "Callers of callers? Multi-hop?" | MCP `symbol_graph` (depth=2+) or `neo4j_graph_query` (if NEO4J_GRAPH=1) |
+| "What breaks if I change X?" | MCP `neo4j_graph_query` (ONLY if available, else use `symbol_graph`) |
+| "Circular dependencies?" | MCP `neo4j_graph_query` (ONLY if available) |
 | "How does authentication work?" | MCP `context_answer` |
 | "High-level module overview?" | MCP `info_request` (with explanations) |
 | "Does REDIS_HOST exist?" | Literal grep |
 | "Why did behavior change?" | `search_commits_for` + `change_history_for_path` |
 
+> **`symbol_graph`** is ALWAYS available (Qdrant-backed). **`neo4j_graph_query`** is ONLY available when `NEO4J_GRAPH=1`. If `neo4j_graph_query` is not in your tool list, use `symbol_graph` for everything. Never error about missing Neo4j.
+
 **If in doubt → start with MCP**
 
diff --git a/docs/CLAUDE.example.md b/docs/CLAUDE.example.md
index f00ea601..80cba035 100644
--- a/docs/CLAUDE.example.md
+++ b/docs/CLAUDE.example.md
@@ -2,6 +2,18 @@ AI agent rules for using Context‑Engine Qdrant‑Indexer and Memory MCP tools.
 
 These rules are NOT optional - favor qdrant-indexer tooling at all costs over existing file reading, grep-like searching, and unrelated codebase search tools.
 
+## STOP — Read This First
+
+**DO NOT use `Read File`, `grep`, `ripgrep`, `cat`, `find`, or any filesystem search tool for code exploration.**
+You have MCP tools that are faster, smarter, and return ranked, contextual results.
+
+- About to `Read` a file to understand it? → use `repo_search` or `context_answer`
+- About to `grep` for a symbol? → use `symbol_graph` or `search_callers_for`
+- About to `grep -r` for a concept? → use `repo_search` with natural language
+- About to `find`/`ls` for project structure? → use `workspace_info` or `qdrant_status`
+
+The ONLY acceptable use of grep/Read: confirming exact literal strings (e.g., `REDIS_HOST`), or reading a file you already located via MCP for editing.
+
 ## Agentic AI Project Rules: When to Use MCP Qdrant-Indexer vs Grep
 
   Core Decision Rules (for AI agents)
@@ -29,6 +41,9 @@ These rules are NOT optional - favor qdrant-indexer tooling at all costs over ex
   grep -r "cache" .                   # → Use MCP: "caching strategies"
   grep -r "error" .                   # → Use MCP: "error handling patterns"
   grep -r "database" .                # → Use MCP: "database operations"
+  Read File to understand a module    # → Use repo_search or context_answer
+  Read File to find callers           # → Use symbol_graph
+  find/ls for project structure       # → Use workspace_info
 
   ## DO - Efficient for exact matches
   grep -rn "UserAlreadyExists" .      # Specific error class
@@ -99,15 +114,19 @@ These rules are NOT optional - favor qdrant-indexer tooling at all costs over ex
     - Cross-language: Python pattern can match Go/Rust/Java with similar control flow.
     - Note: Returns error if pattern detection module is not available.
   - symbol_graph:
+    - **DEFAULT for ALL graph/relationship queries. Always available (Qdrant-backed, no Neo4j required).**
     - Use for: structural navigation (callers, definitions, importers).
     - Think: "who calls this function?", "where is this class defined?".
     - **Note**: Results are "hydrated" with ~500-char source snippets for immediate context.
     - Supports `depth` for multi-hop traversals (depth=2 = callers of callers).
-  - neo4j_graph_query:
+    - Use this FIRST for any graph query. Do NOT attempt neo4j_graph_query unless it's in your tool list.
+  - neo4j_graph_query (OPTIONAL — only when NEO4J_GRAPH=1):
+    - **Only available when NEO4J_GRAPH=1. If not in your tool list, use symbol_graph instead.**
     - Use for: advanced graph traversals that grep CANNOT do.
     - Query types: `callers`, `callees`, `transitive_callers`, `transitive_callees`, `impact`, `dependencies`, `cycles`.
     - Think: "what would break if I change X?" (impact), "callers of callers" (transitive_callers), "circular deps?" (cycles).
     - Example: `neo4j_graph_query(symbol="normalize_path", query_type="impact", depth=2)` → finds all code that would break.
+    - **Never error or warn about Neo4j being unavailable — just use symbol_graph.**
   - info_request:
     - Use for: rapid broad discovery and architectural overviews.
     - Good for: "how does the reranker work?", "overview of database modules".
@@ -194,4 +213,5 @@ These rules are NOT optional - favor qdrant-indexer tooling at all costs over ex
 
   - context_answer timeout → repo_search + info_request(include_explanation=true)
   - pattern_search unavailable → repo_search with structural query terms
-  - neo4j_graph_query empty → symbol_graph (Qdrant-backed fallback)
+  - neo4j_graph_query unavailable → symbol_graph (Qdrant-backed, ALWAYS available — this is the DEFAULT)
+  - grep / Read File → repo_search, symbol_graph, info_request (ALWAYS use MCP instead)

From 9bf2f5e77404e08d0febc068ccae4564b86473e7 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 08:03:23 -0500
Subject: [PATCH 06/10] Improve multi-repo detection and backend URL
 normalization

Python scripts now detect git repositories by presence of .git directories, preventing subdirectories from being misclassified as repos. The VSCode extension refactors backend URL normalization into a shared function, reducing duplication and improving consistency in auth-related flows.
---
 scripts/indexing_admin.py                     |  9 ++-
 scripts/ingest/cli.py                         |  8 ++-
 scripts/watch_index.py                        | 25 +++++++-
 scripts/watch_index_core/utils.py             | 47 +++++++++++++--
 .../context-engine-uploader/auth_utils.js     | 57 +++++++------------
 5 files changed, 100 insertions(+), 46 deletions(-)

diff --git a/scripts/indexing_admin.py b/scripts/indexing_admin.py
index 52a939ae..6cc679cd 100644
--- a/scripts/indexing_admin.py
+++ b/scripts/indexing_admin.py
@@ -1219,7 +1219,12 @@ def spawn_ingest_code(
     repo_name: Optional[str],
     env_overrides: Optional[Dict[str, Any]] = None,
     clear_caches: bool = False,
-) -> None:
+) -> "subprocess.Popen[bytes]":
+    """Spawn ingest_code as a subprocess and return the Popen handle.
+
+    Callers that need to wait for completion (e.g. lock-guarded signal
+    listeners) can use the returned handle to call ``proc.wait()``.
+    """
     script_path = str((Path(__file__).resolve().parent / "ingest_code.py").resolve())
     cmd = [sys.executable or "python3", script_path, "--root", root, "--no-skip-unchanged"]
     if recreate:
@@ -1272,6 +1277,8 @@ def spawn_ingest_code(
     except Exception as exc:
         raise RuntimeError(f"Failed to spawn ingest_code for {root}: {exc}") from exc
 
+    return proc
+
 
 def _determine_embedding_dim(model_name: str) -> int:
     if get_model_dimension:
diff --git a/scripts/ingest/cli.py b/scripts/ingest/cli.py
index 5a034797..e4ab2397 100644
--- a/scripts/ingest/cli.py
+++ b/scripts/ingest/cli.py
@@ -309,6 +309,11 @@ def main():
                             continue
                         if child.name in {".codebase", "__pycache__"}:
                             continue
+                        # Only treat as a separate repo if it has a .git directory
+                        # This prevents subdirectories like src/, docs/, tests/ from
+                        # being treated as separate repositories
+                        if not (child / ".git").exists():
+                            continue
                         repos.append(child)
                     except Exception as e:
                         logger.debug(f"Suppressed exception, continuing: {e}")
@@ -317,7 +322,8 @@ def main():
             repos = []
 
         if not repos:
-            print(f"[multi_repo] No repo directories found under: {root_path}")
+            print(f"[multi_repo] No git repositories found under: {root_path}")
+            print("[multi_repo] Hint: Each subdirectory must have a .git folder to be treated as a separate repo")
             return
 
         multi_flag = (os.environ.get("PSEUDO_DEFER_TO_WORKER") or "").strip().lower()
diff --git a/scripts/watch_index.py b/scripts/watch_index.py
index 8431451a..62da7e84 100644
--- a/scripts/watch_index.py
+++ b/scripts/watch_index.py
@@ -154,16 +154,37 @@ def _listener():
                             root = work_dir
 
                         print(f"[index_signal] Spawning ingest_code: root={root} collection={collection}")
-                        spawn_ingest_code(
+                        proc = spawn_ingest_code(
                             root=root,
                             work_dir=work_dir,
                             collection=collection,
                             recreate=False,
                             repo_name=repo_name,
                         )
+
+                        # Hold _ingest_lock until the subprocess finishes so
+                        # concurrent Redis signals are properly skipped.
+                        def _wait_and_release(p, lock):
+                            try:
+                                p.wait()
+                            except Exception:
+                                pass
+                            finally:
+                                lock.release()
+                                print("[index_signal] Ingest process finished, lock released")
+
+                        waiter = threading.Thread(
+                            target=_wait_and_release,
+                            args=(proc, _ingest_lock),
+                            daemon=True,
+                            name="ingest-lock-waiter",
+                        )
+                        waiter.start()
+                        # Lock is now owned by the waiter thread — skip the
+                        # finally-release below.
+                        continue
                     except Exception as e:
                         print(f"[index_signal] Error spawning ingest: {e}")
-                    finally:
                         _ingest_lock.release()
             except Exception as e:
                 print(f"[index_signal] Listener error, reconnecting in 5s: {e}")
diff --git a/scripts/watch_index_core/utils.py b/scripts/watch_index_core/utils.py
index b48452eb..c0f0282b 100644
--- a/scripts/watch_index_core/utils.py
+++ b/scripts/watch_index_core/utils.py
@@ -95,14 +95,49 @@ def create_observer(use_polling: bool, observer_cls: Type[Observer] = Observer)
 
 
 def _detect_repo_for_file(file_path: Path) -> Optional[Path]:
-    """Detect repository root for a file under WATCH root."""
+    """Detect repository root for a file by finding the nearest .git parent.
+
+    In multi-repo mode, walks up from the file to find the actual git repository
+    root (directory containing .git), rather than assuming the first subdirectory
+    under ROOT is a repo. This prevents subdirectories like src/, docs/, tests/
+    from being treated as separate repositories.
+
+    Falls back to first subdirectory behavior only when no .git is found.
+    """
     try:
-        rel_path = file_path.resolve().relative_to(ROOT.resolve())
-    except Exception:
+        resolved = file_path.resolve()
+        root_resolved = ROOT.resolve()
+
+        # Walk up from file to find actual git repo root
+        for parent in [resolved] + list(resolved.parents):
+            try:
+                # Check if this directory has a .git folder
+                if (parent / ".git").exists():
+                    # Ensure it's still under our watch root
+                    try:
+                        parent.relative_to(root_resolved)
+                        return parent
+                    except ValueError:
+                        # Parent is outside watch root, stop here
+                        break
+                # Stop at workspace root
+                if parent == root_resolved:
+                    break
+            except Exception as e:
+                logger.debug(f"Suppressed exception checking .git at {parent}: {e}")
+                continue
+
+        # Fallback: use first subdirectory (legacy behavior for non-git dirs)
+        try:
+            rel_path = resolved.relative_to(root_resolved)
+        except ValueError:
+            return None
+        if not rel_path.parts:
+            return ROOT
+        return ROOT / rel_path.parts[0]
+    except Exception as e:
+        logger.debug(f"Suppressed exception in _detect_repo_for_file: {e}")
         return None
-    if not rel_path.parts:
-        return ROOT
-    return ROOT / rel_path.parts[0]
 
 
 def _repo_name_or_none(repo_path: Optional[Path]) -> Optional[str]:
diff --git a/vscode-extension/context-engine-uploader/auth_utils.js b/vscode-extension/context-engine-uploader/auth_utils.js
index 71e83670..2272a154 100644
--- a/vscode-extension/context-engine-uploader/auth_utils.js
+++ b/vscode-extension/context-engine-uploader/auth_utils.js
@@ -16,6 +16,20 @@ function getFetch(deps) {
   return null;
 }
 
+function normalizeBackendUrl(raw) {
+  const trimmed = (raw || '').trim();
+  if (!trimmed) return trimmed;
+  try {
+    const u = new URL(trimmed);
+    if (!trimmed.includes('/upload') && !trimmed.includes('/auth')) {
+      return `${u.protocol}//${u.host}`;
+    }
+    return trimmed;
+  } catch (_) {
+    return trimmed.replace(/\/+$/, '');
+  }
+}
+
 /**
  * Check auth status for the given endpoint using ctxce CLI.
  * Returns { state: 'ok' | 'missing' | 'expired' | 'error', userId?: string }
@@ -25,17 +39,10 @@ async function checkAuthStatus(endpoint, deps) {
     return { state: 'error' };
   }
   const { spawn, resolveBridgeCliInvocation, getWorkspaceFolderPath } = deps;
-  const raw = (endpoint || '').trim();
-  if (!raw) {
+  const backendUrl = normalizeBackendUrl(endpoint);
+  if (!backendUrl) {
     return { state: 'error' };
   }
-  let backendUrl = raw;
-  try {
-    const u = new URL(raw);
-    backendUrl = `${u.protocol}//${u.host}`;
-  } catch (_) {
-    backendUrl = raw.replace(/\/+$/, '');
-  }
 
   const invocation = resolveBridgeCliInvocation();
   if (!invocation) {
@@ -118,22 +125,14 @@ async function ensureAuthIfRequired(endpoint, deps) {
     }
     const { vscode, spawnSync, resolveBridgeCliInvocation, getWorkspaceFolderPath, log } = deps;
     const fetchFn = getFetch(deps);
-    const raw = (endpoint || '').trim();
-    if (!raw) {
+    const baseUrl = normalizeBackendUrl(endpoint);
+    if (!baseUrl) {
       return;
     }
     if (!fetchFn) {
       log('Auth status probe skipped: fetch is not available in this runtime.');
       return;
     }
-
-    let baseUrl = raw;
-    try {
-      const u = new URL(raw);
-      baseUrl = `${u.protocol}//${u.host}`;
-    } catch (_) {
-      baseUrl = raw.replace(/\/+$/, '');
-    }
     const statusUrl = `${baseUrl.replace(/\/+$/, '')}/auth/status`;
 
     let res;
@@ -244,21 +243,12 @@ async function runAuthLoginFlow(explicitBackendUrl, deps) {
   const configuredAuthBackendUrl = (settings.get('authBackendUrl') || '').trim();
   const configuredAuthToken = (settings.get('authSharedToken') || '').trim();
   
-  let backendUrl = explicitBackendUrl || configuredAuthBackendUrl || endpoint;
+  let backendUrl = normalizeBackendUrl(explicitBackendUrl || configuredAuthBackendUrl || endpoint);
   if (!backendUrl) {
     vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint or contextEngineUploader.authBackendUrl).');
     return;
   }
 
-  try {
-    const u = new URL(backendUrl);
-    if (!backendUrl.includes('/upload') && !backendUrl.includes('/auth')) {
-      backendUrl = `${u.protocol}//${u.host}`;
-    }
-  } catch (_) {
-    backendUrl = backendUrl.replace(/\/+$/, '');
-  }
-
   const invocation = resolveBridgeCliInvocation();
   if (!invocation) {
     vscode.window.showErrorMessage('Context Engine Uploader: unable to locate ctxce CLI for auth.');
@@ -396,17 +386,11 @@ async function runAuthLogoutFlow(explicitBackendUrl, deps) {
     const settings = vscode.workspace.getConfiguration('contextEngineUploader');
     endpoint = (settings.get('endpoint') || '').trim();
   }
-  let backendUrl = explicitBackendUrl || endpoint;
+  const backendUrl = normalizeBackendUrl(explicitBackendUrl || endpoint);
   if (!backendUrl) {
     vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint).');
     return;
   }
-  try {
-    const u = new URL(backendUrl);
-    backendUrl = `${u.protocol}//${u.host}`;
-  } catch (_) {
-    backendUrl = backendUrl.replace(/\/+$/, '');
-  }
 
   const invocation = resolveBridgeCliInvocation();
   if (!invocation) {
@@ -442,6 +426,7 @@ async function runAuthLogoutFlow(explicitBackendUrl, deps) {
 module.exports = {
   checkAuthStatus,
   ensureAuthIfRequired,
+  normalizeBackendUrl,
   runAuthLoginFlow,
   runAuthLogoutFlow,
 };

From 49ca4dfde130bb211677581f217a5266a65cf59c Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 08:41:49 -0500
Subject: [PATCH 07/10] Improve multi-repo detection and fallback logic

Enhanced multi-repo mode to prefer directories with .git, but fall back to treating all subdirectories as repos if none are found, improving resilience in K8s/container environments. Updated documentation and logging to clarify behavior. Also canonicalized working directory in CLI for macOS compatibility and fixed file permissions for the VSCode extension publish script.
---
 .env.example                                  |  3 +-
 deploy/helm/context-engine/values.yaml        |  2 ++
 scripts/ctx_cli/commands/reset.py             |  1 -
 scripts/ctx_cli/main.py                       |  7 ++++
 scripts/ingest/cli.py                         | 36 ++++++++++++++-----
 scripts/watch_index_core/utils.py             | 11 ++++--
 .../build/publish-vscode-extension.sh         |  0
 7 files changed, 47 insertions(+), 13 deletions(-)
 mode change 100644 => 100755 vscode-extension/build/publish-vscode-extension.sh

diff --git a/.env.example b/.env.example
index 3317c2ed..973c937b 100644
--- a/.env.example
+++ b/.env.example
@@ -4,7 +4,8 @@ QDRANT_URL=http://localhost:6333
 
 # Multi-repo mode: 0=single-repo (default), 1=multi-repo
 # Single-repo: All files go into one collection (COLLECTION_NAME)
-# Multi-repo: Each subdirectory gets its own collection
+# Multi-repo: Each subdirectory with .git gets its own collection
+# Falls back to treating all subdirectories as repos if no .git found (for K8s/containers)
 MULTI_REPO_MODE=0
 
 # Logical repo reuse (experimental): 0=disabled (default), 1=enable logical_repo_id-based
diff --git a/deploy/helm/context-engine/values.yaml b/deploy/helm/context-engine/values.yaml
index ff978bb8..ffc813d6 100644
--- a/deploy/helm/context-engine/values.yaml
+++ b/deploy/helm/context-engine/values.yaml
@@ -356,6 +356,8 @@ watcher:
     WATCH_ROOT: /work
     WATCH_DEBOUNCE_SECS: "2.0"
     WATCH_USE_POLLING: "1"
+    # Multi-repo mode: 0=single-repo, 1=multi-repo (each .git subdir gets own collection)
+    # Falls back to treating all subdirectories as repos if no .git found (K8s resilience)
     MULTI_REPO_MODE: "0"
   # -- Init containers configuration
   initContainers:
diff --git a/scripts/ctx_cli/commands/reset.py b/scripts/ctx_cli/commands/reset.py
index f6f5b95f..5d21378a 100644
--- a/scripts/ctx_cli/commands/reset.py
+++ b/scripts/ctx_cli/commands/reset.py
@@ -214,7 +214,6 @@ def reset(
     refrag_runtime = os.environ.get("REFRAG_RUNTIME", "").strip().lower()
     llamacpp_needed = refrag_runtime in ("", "llamacpp")
 
-    # Build docker compose command prefix (with optional neo4j compose file)
     compose_cmd = ["docker", "compose"]
     if neo4j_enabled:
         compose_cmd.extend(["-f", "docker-compose.yml", "-f", "docker-compose.neo4j.yml"])
diff --git a/scripts/ctx_cli/main.py b/scripts/ctx_cli/main.py
index c4991d5e..c7662f2e 100644
--- a/scripts/ctx_cli/main.py
+++ b/scripts/ctx_cli/main.py
@@ -76,6 +76,13 @@ def _load_dotenv():
 
 def main():
     """Main CLI entry point."""
+    # macOS is case-insensitive: /Users/x/desktop and /Users/x/Desktop both
+    # work, but Docker stores volume device paths as exact strings. Canonicalize
+    # once so compose always resolves ./dev-workspace to the same path.
+    _real = os.path.realpath(os.getcwd())
+    if _real != os.getcwd():
+        os.chdir(_real)
+
     parser = argparse.ArgumentParser(
         prog="ctx",
         description="Context-Engine CLI - Unified interface for MCP tools",
diff --git a/scripts/ingest/cli.py b/scripts/ingest/cli.py
index e4ab2397..985e5fe4 100644
--- a/scripts/ingest/cli.py
+++ b/scripts/ingest/cli.py
@@ -298,7 +298,10 @@ def main():
         print("[multi_repo] Multi-repo mode enabled - will create separate collections per repository")
 
         root_path = Path(args.root).resolve()
-        repos = []
+
+        # First pass: find directories with .git (git repos)
+        git_repos = []
+        non_git_dirs = []
         try:
             if root_path.is_dir():
                 for child in sorted(root_path.iterdir()):
@@ -309,21 +312,36 @@ def main():
                             continue
                         if child.name in {".codebase", "__pycache__"}:
                             continue
-                        # Only treat as a separate repo if it has a .git directory
-                        # This prevents subdirectories like src/, docs/, tests/ from
-                        # being treated as separate repositories
-                        if not (child / ".git").exists():
-                            continue
-                        repos.append(child)
+
+                        if (child / ".git").exists():
+                            git_repos.append(child)
+                        else:
+                            non_git_dirs.append(child)
                     except Exception as e:
                         logger.debug(f"Suppressed exception, continuing: {e}")
                         continue
         except Exception:
+            git_repos = []
+            non_git_dirs = []
+
+        # Always prefer git repos, but fall back to all subdirectories if none found
+        # This ensures multi-repo mode works in K8s where code may be copied without .git
+        if git_repos:
+            repos = git_repos
+            print(f"[multi_repo] Found {len(git_repos)} git repositories")
+            if non_git_dirs:
+                print(f"[multi_repo] Ignoring {len(non_git_dirs)} non-git directories")
+        elif non_git_dirs:
+            # Fallback: treat all subdirectories as repos when no .git found
+            repos = non_git_dirs
+            print(f"[multi_repo] WARNING: No .git directories found - falling back to directory-based detection")
+            print(f"[multi_repo] Treating {len(non_git_dirs)} subdirectories as separate repos")
+        else:
             repos = []
 
         if not repos:
-            print(f"[multi_repo] No git repositories found under: {root_path}")
-            print("[multi_repo] Hint: Each subdirectory must have a .git folder to be treated as a separate repo")
+            print(f"[multi_repo] No repositories found under: {root_path}")
+            print("[multi_repo] Hint: Each subdirectory should have a .git folder for best results")
             return
 
         multi_flag = (os.environ.get("PSEUDO_DEFER_TO_WORKER") or "").strip().lower()
diff --git a/scripts/watch_index_core/utils.py b/scripts/watch_index_core/utils.py
index c0f0282b..43e11f87 100644
--- a/scripts/watch_index_core/utils.py
+++ b/scripts/watch_index_core/utils.py
@@ -102,7 +102,8 @@ def _detect_repo_for_file(file_path: Path) -> Optional[Path]:
     under ROOT is a repo. This prevents subdirectories like src/, docs/, tests/
     from being treated as separate repositories.
 
-    Falls back to first subdirectory behavior only when no .git is found.
+    Falls back to first subdirectory behavior only when no .git is found,
+    unless MULTI_REPO_GIT_STRICT=1 is set.
     """
     try:
         resolved = file_path.resolve()
@@ -128,13 +129,19 @@ def _detect_repo_for_file(file_path: Path) -> Optional[Path]:
                 continue
 
         # Fallback: use first subdirectory (legacy behavior for non-git dirs)
+        # This ensures multi-repo mode works in K8s where code may be copied without .git
         try:
             rel_path = resolved.relative_to(root_resolved)
         except ValueError:
             return None
         if not rel_path.parts:
             return ROOT
-        return ROOT / rel_path.parts[0]
+
+        fallback_repo = ROOT / rel_path.parts[0]
+        logger.debug(
+            f"[multi_repo] No .git found for {file_path}, using fallback: {fallback_repo}"
+        )
+        return fallback_repo
     except Exception as e:
         logger.debug(f"Suppressed exception in _detect_repo_for_file: {e}")
         return None
diff --git a/vscode-extension/build/publish-vscode-extension.sh b/vscode-extension/build/publish-vscode-extension.sh
old mode 100644
new mode 100755

From d39894c143073c22743a7ee23ca8910a7c543823 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 08:54:12 -0500
Subject: [PATCH 08/10] Add live status section to settings webview

Introduces a new 'Status' section in the settings webview to display live indexing progress and system status. Adds UI components, styles, and polling logic to fetch and display real-time status from the backend. The default section is now 'Status', and the webview's CSP is updated to allow connections to the configured endpoint.
---
 .../context-engine-uploader/extension.js      |   6 +-
 .../settings-webview.js                       | 292 +++++++++++++++++-
 2 files changed, 293 insertions(+), 5 deletions(-)

diff --git a/vscode-extension/context-engine-uploader/extension.js b/vscode-extension/context-engine-uploader/extension.js
index d8c0e154..36f7b3c8 100644
--- a/vscode-extension/context-engine-uploader/extension.js
+++ b/vscode-extension/context-engine-uploader/extension.js
@@ -386,7 +386,11 @@ function activate(context) {
 
   // Register Settings Webview
   try {
-    settingsWebviewProvider = new SettingsWebviewProvider(context.extensionUri);
+    const getEndpointForSettings = () => {
+      const cfg = getEffectiveConfig();
+      return cfg.get('endpoint') || 'http://localhost:8004';
+    };
+    settingsWebviewProvider = new SettingsWebviewProvider(context.extensionUri, getEndpointForSettings);
     const openSettingsCmd = vscode.commands.registerCommand('contextEngineUploader.openSettings', () => {
       settingsWebviewProvider.openSettings();
     });
diff --git a/vscode-extension/context-engine-uploader/settings-webview.js b/vscode-extension/context-engine-uploader/settings-webview.js
index e032b485..817c1e11 100644
--- a/vscode-extension/context-engine-uploader/settings-webview.js
+++ b/vscode-extension/context-engine-uploader/settings-webview.js
@@ -6,6 +6,13 @@ const vscode = require('vscode');
 
 // Settings grouped by category
 const SETTINGS_SCHEMA = {
+  status: {
+    title: 'Status',
+    icon: 'pulse',
+    description: 'Live indexing progress and system status',
+    isStatus: true,  // Special flag for status section rendering
+    settings: []  // No editable settings - purely informational
+  },
   general: {
     title: 'General',
     icon: 'home',
@@ -115,10 +122,11 @@ const SETTINGS_SCHEMA = {
 class SettingsWebviewProvider {
   static viewType = 'contextEngineSettingsPanel';
 
-  constructor(extensionUri) {
+  constructor(extensionUri, getEndpoint) {
     this._extensionUri = extensionUri;
+    this._getEndpoint = getEndpoint || (() => 'http://localhost:8004');
     this._panel = undefined;
-    this._activeSection = 'general';
+    this._activeSection = 'status';  // Default to status section
   }
 
   openSettings() {
@@ -190,13 +198,15 @@ class SettingsWebviewProvider {
     const nonce = getNonce();
     const values = this._getAllSettings();
     const logoUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'assets', 'logo.jpeg'));
+    const endpoint = this._getEndpoint();
+    const workspacePath = values.targetPath || '';
 
     return `<!DOCTYPE html>
 <html lang="en">
 <head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
-  <meta http-equiv="Content-Security-Policy" content="default-src 'none'; style-src ${webview.cspSource} 'unsafe-inline'; font-src https://microsoft.github.io; img-src ${webview.cspSource}; script-src 'nonce-${nonce}';">
+  <meta http-equiv="Content-Security-Policy" content="default-src 'none'; style-src ${webview.cspSource} 'unsafe-inline'; font-src https://microsoft.github.io; img-src ${webview.cspSource}; script-src 'nonce-${nonce}'; connect-src ${endpoint} http://localhost:8004 http://127.0.0.1:8004;">
   <title>Context Engine Settings</title>
   <link href="https://microsoft.github.io/vscode-codicons/dist/codicon.css" rel="stylesheet">
   <style>${this._getStyles()}</style>
@@ -222,7 +232,11 @@ class SettingsWebviewProvider {
       ${this._getSectionContent(values)}
     </main>
   </div>
-  <script nonce="${nonce}">${this._getScript()}</script>
+  <script nonce="${nonce}">
+    const STATUS_ENDPOINT = '${endpoint}';
+    const WORKSPACE_PATH = '${workspacePath.replace(/\\/g, '\\\\').replace(/'/g, "\\'")}';
+    ${this._getScript()}
+  </script>
 </body>
 </html>`;
   }
@@ -240,6 +254,11 @@ class SettingsWebviewProvider {
     const section = SETTINGS_SCHEMA[this._activeSection];
     if (!section) return '';
 
+    // Special rendering for status section
+    if (section.isStatus) {
+      return this._getStatusSectionHtml();
+    }
+
     return `
       <div class="section-header">
         <h2><span class="codicon codicon-${section.icon}"></span> ${section.title}</h2>
@@ -251,6 +270,71 @@ class SettingsWebviewProvider {
     `;
   }
 
+  _getStatusSectionHtml() {
+    return `
+      <div class="section-header">
+        <h2><span class="codicon codicon-pulse"></span> Status</h2>
+        <p class="section-desc">Live indexing progress and system status</p>
+      </div>
+      <div class="status-section">
+        <div class="status-card" id="indexing-status-card">
+          <div class="status-card-header">
+            <span class="codicon codicon-database"></span>
+            <span class="status-card-title">Indexing Status</span>
+            <span class="status-badge" id="status-badge">Checking...</span>
+          </div>
+          <div class="status-card-body">
+            <div class="progress-container" id="progress-container" style="display: none;">
+              <div class="progress-info">
+                <span id="progress-text">0 / 0 files</span>
+                <span id="progress-percent">0%</span>
+              </div>
+              <div class="progress-bar">
+                <div class="progress-fill" id="progress-fill" style="width: 0%"></div>
+              </div>
+              <div class="current-file" id="current-file"></div>
+            </div>
+            <div class="status-details" id="status-details">
+              <div class="status-row">
+                <span class="status-label">State</span>
+                <span class="status-value" id="state-value">--</span>
+              </div>
+              <div class="status-row">
+                <span class="status-label">Points Indexed</span>
+                <span class="status-value" id="points-value">--</span>
+              </div>
+              <div class="status-row">
+                <span class="status-label">Watcher</span>
+                <span class="status-value" id="watcher-value">--</span>
+              </div>
+              <div class="status-row">
+                <span class="status-label">Qdrant</span>
+                <span class="status-value" id="qdrant-value">--</span>
+              </div>
+            </div>
+          </div>
+        </div>
+        <div class="status-card" id="connection-status-card">
+          <div class="status-card-header">
+            <span class="codicon codicon-globe"></span>
+            <span class="status-card-title">Server Connection</span>
+            <span class="status-badge" id="connection-badge">Checking...</span>
+          </div>
+          <div class="status-card-body">
+            <div class="status-row">
+              <span class="status-label">Endpoint</span>
+              <span class="status-value" id="endpoint-value">--</span>
+            </div>
+            <div class="status-row">
+              <span class="status-label">Last Checked</span>
+              <span class="status-value" id="last-checked-value">--</span>
+            </div>
+          </div>
+        </div>
+      </div>
+    `;
+  }
+
   _getSettingHtml(setting, value) {
     const id = `setting-${setting.key}`;
     let input = '';
@@ -470,12 +554,97 @@ class SettingsWebviewProvider {
     .toggle input:checked + .toggle-slider { background: var(--accent); }
     .toggle input:checked + .toggle-slider::before { transform: translateX(18px); }
     .toggle input:focus + .toggle-slider { box-shadow: 0 0 0 2px var(--focus-ring); }
+
+    /* Status section styles */
+    .status-section { display: flex; flex-direction: column; gap: 16px; }
+    .status-card {
+      background: var(--bg-card);
+      border: 1px solid var(--border-subtle);
+      border-radius: var(--radius-lg);
+      overflow: hidden;
+    }
+    .status-card-header {
+      display: flex;
+      align-items: center;
+      gap: 10px;
+      padding: 14px 16px;
+      background: var(--bg-subtle);
+      border-bottom: 1px solid var(--border-subtle);
+    }
+    .status-card-header .codicon { font-size: 16px; color: var(--accent); }
+    .status-card-title { font-weight: 500; flex: 1; }
+    .status-badge {
+      padding: 3px 10px;
+      border-radius: 12px;
+      font-size: 11px;
+      font-weight: 500;
+      text-transform: uppercase;
+      letter-spacing: 0.3px;
+    }
+    .status-badge.idle { background: var(--border); color: var(--text-secondary); }
+    .status-badge.indexing { background: var(--vscode-charts-yellow, #e9a700); color: #000; }
+    .status-badge.watching { background: var(--vscode-charts-purple, #a855f7); color: #fff; }
+    .status-badge.ready { background: var(--vscode-charts-green, #22c55e); color: #fff; }
+    .status-badge.error { background: var(--vscode-errorForeground, #f14c4c); color: #fff; }
+    .status-badge.offline { background: var(--vscode-errorForeground, #f14c4c); color: #fff; }
+    .status-badge.online { background: var(--vscode-charts-green, #22c55e); color: #fff; }
+    .status-card-body { padding: 16px; }
+    .status-row {
+      display: flex;
+      justify-content: space-between;
+      align-items: center;
+      padding: 8px 0;
+      border-bottom: 1px solid var(--border-subtle);
+    }
+    .status-row:last-child { border-bottom: none; }
+    .status-label { color: var(--text-secondary); font-size: 12px; }
+    .status-value { font-weight: 500; font-size: 13px; }
+
+    /* Progress bar styles */
+    .progress-container { margin-bottom: 16px; }
+    .progress-info {
+      display: flex;
+      justify-content: space-between;
+      margin-bottom: 8px;
+      font-size: 12px;
+    }
+    #progress-text { color: var(--text-primary); }
+    #progress-percent { color: var(--accent); font-weight: 600; }
+    .progress-bar {
+      height: 6px;
+      background: var(--border);
+      border-radius: 3px;
+      overflow: hidden;
+    }
+    .progress-fill {
+      height: 100%;
+      background: linear-gradient(90deg, var(--accent), var(--vscode-charts-green, #22c55e));
+      border-radius: 3px;
+      transition: width 0.3s ease;
+    }
+    .current-file {
+      margin-top: 8px;
+      font-size: 11px;
+      color: var(--text-muted);
+      white-space: nowrap;
+      overflow: hidden;
+      text-overflow: ellipsis;
+    }
+    .current-file::before {
+      content: '\\eb68';
+      font-family: codicon;
+      margin-right: 6px;
+      opacity: 0.7;
+    }
     `;
   }
 
   _getScript() {
     return `
     const vscode = acquireVsCodeApi();
+    let pollInterval = null;
+    let isStatusSection = false;
+
     function updateSetting(key, value) {
       vscode.postMessage({ command: 'updateSetting', key, value });
     }
@@ -487,6 +656,121 @@ class SettingsWebviewProvider {
         vscode.postMessage({ command: 'setSection', section: btn.dataset.section });
       });
     });
+
+    // Status polling functions
+    function formatNumber(num) {
+      return num != null ? num.toLocaleString() : '--';
+    }
+
+    function updateStatusUI(data) {
+      const statusBadge = document.getElementById('status-badge');
+      const progressContainer = document.getElementById('progress-container');
+      const progressText = document.getElementById('progress-text');
+      const progressPercent = document.getElementById('progress-percent');
+      const progressFill = document.getElementById('progress-fill');
+      const currentFile = document.getElementById('current-file');
+      const stateValue = document.getElementById('state-value');
+      const pointsValue = document.getElementById('points-value');
+      const watcherValue = document.getElementById('watcher-value');
+      const qdrantValue = document.getElementById('qdrant-value');
+
+      if (!statusBadge) return; // Not on status section
+
+      const state = data.indexing_state || 'idle';
+      const progress = data.progress;
+
+      // Update badge
+      statusBadge.textContent = state.charAt(0).toUpperCase() + state.slice(1);
+      statusBadge.className = 'status-badge ' + state;
+
+      // Update progress bar if indexing
+      if (state === 'indexing' && progress) {
+        progressContainer.style.display = 'block';
+        const processed = progress.files_processed || 0;
+        const total = progress.total_files || 1;
+        const percent = Math.round((processed / total) * 100);
+
+        progressText.textContent = formatNumber(processed) + ' / ' + formatNumber(total) + ' files';
+        progressPercent.textContent = percent + '%';
+        progressFill.style.width = percent + '%';
+
+        if (progress.current_file) {
+          const shortPath = progress.current_file.split('/').slice(-2).join('/');
+          currentFile.textContent = shortPath;
+          currentFile.style.display = 'block';
+        } else {
+          currentFile.style.display = 'none';
+        }
+      } else {
+        progressContainer.style.display = 'none';
+      }
+
+      // Update details
+      stateValue.textContent = state.charAt(0).toUpperCase() + state.slice(1);
+      pointsValue.textContent = formatNumber(data.points_count);
+      watcherValue.textContent = data.watcher_active ? 'Active' : 'Inactive';
+      watcherValue.style.color = data.watcher_active ? 'var(--vscode-charts-green, #22c55e)' : 'var(--text-secondary)';
+      qdrantValue.textContent = data.qdrant_healthy ? 'Connected' : 'Disconnected';
+      qdrantValue.style.color = data.qdrant_healthy ? 'var(--vscode-charts-green, #22c55e)' : 'var(--vscode-errorForeground, #f14c4c)';
+    }
+
+    function updateConnectionUI(isConnected, endpoint) {
+      const connectionBadge = document.getElementById('connection-badge');
+      const endpointValue = document.getElementById('endpoint-value');
+      const lastCheckedValue = document.getElementById('last-checked-value');
+
+      if (!connectionBadge) return;
+
+      connectionBadge.textContent = isConnected ? 'Online' : 'Offline';
+      connectionBadge.className = 'status-badge ' + (isConnected ? 'online' : 'offline');
+      endpointValue.textContent = endpoint || '--';
+      lastCheckedValue.textContent = new Date().toLocaleTimeString();
+    }
+
+    async function pollStatus() {
+      if (!STATUS_ENDPOINT) {
+        updateConnectionUI(false, 'Not configured');
+        return;
+      }
+
+      try {
+        const params = new URLSearchParams();
+        if (WORKSPACE_PATH) params.set('workspace_path', WORKSPACE_PATH);
+
+        const url = STATUS_ENDPOINT + '/api/v1/indexing/status' + (params.toString() ? '?' + params.toString() : '');
+        const response = await fetch(url, {
+          method: 'GET',
+          headers: { 'Accept': 'application/json' }
+        });
+
+        if (response.ok) {
+          const data = await response.json();
+          updateStatusUI(data);
+          updateConnectionUI(true, STATUS_ENDPOINT);
+
+          // Poll faster during indexing
+          const newInterval = data.indexing_state === 'indexing' ? 1500 : 5000;
+          if (pollInterval && pollInterval._interval !== newInterval) {
+            clearInterval(pollInterval);
+            pollInterval = setInterval(pollStatus, newInterval);
+            pollInterval._interval = newInterval;
+          }
+        } else {
+          updateConnectionUI(false, STATUS_ENDPOINT);
+        }
+      } catch (error) {
+        updateConnectionUI(false, STATUS_ENDPOINT);
+        console.log('Status poll error:', error.message);
+      }
+    }
+
+    // Start polling if on status section
+    if (document.getElementById('indexing-status-card')) {
+      isStatusSection = true;
+      pollStatus();
+      pollInterval = setInterval(pollStatus, 3000);
+      pollInterval._interval = 3000;
+    }
     `;
   }
 }

From 8c92f33c2ea6ad256de49f44569441f0d288d9c6 Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 09:10:11 -0500
Subject: [PATCH 09/10] Improve batch handling and backend URL selection

In qdrant.py, remote embedding now chunks large batches to respect the service's max batch size, improving reliability for large inputs. watch_index.py adds a check to skip signals with empty workspace_path, preventing unnecessary processing. In auth_utils.js, backend URL selection for login and logout now consistently prefers the configured authBackendUrl, ensuring settings override and alignment between login and logout flows.
---
 scripts/ingest/qdrant.py                         | 16 ++++++++++++++++
 scripts/watch_index.py                           |  3 +++
 .../context-engine-uploader/auth_utils.js        | 13 ++++++++-----
 3 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/scripts/ingest/qdrant.py b/scripts/ingest/qdrant.py
index 4ad4515d..74bcb0e7 100644
--- a/scripts/ingest/qdrant.py
+++ b/scripts/ingest/qdrant.py
@@ -1018,15 +1018,31 @@ def _embed_local(model, texts: List[str]) -> List[List[float]]:
             return [vec.tolist() for vec in model.embed(texts)]
 
 
+_REMOTE_MAX_BATCH = int(os.environ.get("EMBED_MAX_BATCH", "128") or 128)
+
+
 def _embed_remote(texts: List[str], model_name: str = "default") -> List[List[float]]:
     """Remote embedding via HTTP service with client-side load balancing.
 
     If EMBEDDING_SERVICE_URLS is set (comma-separated), round-robins across replicas
     for true parallel processing. Otherwise uses single EMBEDDING_SERVICE_URL.
+
+    Large batches are automatically chunked to stay within the service's
+    MAX_BATCH_SIZE limit (default 128).
     """
     global _EMBED_REPLICA_INDEX
     import requests
 
+    # Chunk into sub-batches that fit the service's MAX_BATCH_SIZE.
+    # Each sub-batch gets its own HTTP request; vectors are concatenated
+    # in order so index alignment is preserved for callers.
+    if len(texts) > _REMOTE_MAX_BATCH:
+        all_vectors: List[List[float]] = []
+        for i in range(0, len(texts), _REMOTE_MAX_BATCH):
+            sub = texts[i : i + _REMOTE_MAX_BATCH]
+            all_vectors.extend(_embed_remote(sub, model_name))
+        return all_vectors
+
     # Get URLs at call time (not import time) for test flexibility
     service_urls = _get_embedding_service_urls()
     service_url = _get_embedding_service_url()
diff --git a/scripts/watch_index.py b/scripts/watch_index.py
index 62da7e84..dbcfd81d 100644
--- a/scripts/watch_index.py
+++ b/scripts/watch_index.py
@@ -133,6 +133,9 @@ def _listener():
                     except Exception:
                         continue
                     workspace_path = data.get("workspace_path", "")
+                    if not workspace_path:
+                        print("[index_signal] Skipping signal with empty workspace_path")
+                        continue
                     collection = data.get("collection") or default_collection
                     print(f"[index_signal] Received signal: workspace={workspace_path} collection={collection}")
 
diff --git a/vscode-extension/context-engine-uploader/auth_utils.js b/vscode-extension/context-engine-uploader/auth_utils.js
index 2272a154..deda9f50 100644
--- a/vscode-extension/context-engine-uploader/auth_utils.js
+++ b/vscode-extension/context-engine-uploader/auth_utils.js
@@ -242,8 +242,9 @@ async function runAuthLoginFlow(explicitBackendUrl, deps) {
   const settings = vscode.workspace.getConfiguration('contextEngineUploader');
   const configuredAuthBackendUrl = (settings.get('authBackendUrl') || '').trim();
   const configuredAuthToken = (settings.get('authSharedToken') || '').trim();
-  
-  let backendUrl = normalizeBackendUrl(explicitBackendUrl || configuredAuthBackendUrl || endpoint);
+
+  // Prefer configured authBackendUrl over explicit URL to allow settings override
+  let backendUrl = normalizeBackendUrl(configuredAuthBackendUrl || explicitBackendUrl || endpoint);
   if (!backendUrl) {
     vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint or contextEngineUploader.authBackendUrl).');
     return;
@@ -382,13 +383,15 @@ async function runAuthLogoutFlow(explicitBackendUrl, deps) {
   } catch (_) {
     endpoint = '';
   }
+  const settings = vscode.workspace.getConfiguration('contextEngineUploader');
   if (!endpoint) {
-    const settings = vscode.workspace.getConfiguration('contextEngineUploader');
     endpoint = (settings.get('endpoint') || '').trim();
   }
-  const backendUrl = normalizeBackendUrl(explicitBackendUrl || endpoint);
+  // Read authBackendUrl to align with login flow - ensures logout targets the same backend as login
+  const configuredAuthBackendUrl = (settings.get('authBackendUrl') || '').trim();
+  const backendUrl = normalizeBackendUrl(configuredAuthBackendUrl || explicitBackendUrl || endpoint);
   if (!backendUrl) {
-    vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint).');
+    vscode.window.showErrorMessage('Context Engine Uploader: backend endpoint is not configured (contextEngineUploader.endpoint or contextEngineUploader.authBackendUrl).');
     return;
   }
 

From 26672869d026e6123c354663d65e100c87117b6f Mon Sep 17 00:00:00 2001
From: John Donalson <mirlok@dr.com>
Date: Tue, 27 Jan 2026 09:31:12 -0500
Subject: [PATCH 10/10] Refactor reset command for modularity and clarity

Split the reset logic into modular helper functions for full and partial resets, improving readability and maintainability. The new structure separates concerns for stopping services, building containers, clearing caches, and starting the indexer, and provides clearer progress output. Also, minor cleanup in docker-compose.yml.
---
 docker-compose.yml                |   2 -
 scripts/ctx_cli/commands/reset.py | 408 +++++++++++++++++-------------
 2 files changed, 228 insertions(+), 182 deletions(-)

diff --git a/docker-compose.yml b/docker-compose.yml
index 5fc2c90d..26913c27 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -3,8 +3,6 @@
 # Repos stored in /work/ (which is project root - avoiding docker volumes) and metadata are stored in /work/.codebase/repos (project root/.codebase)
 # Updated to use separate PVCs for workspace and codebase to eliminate circular dependencies
 
-version: '3.8'
-
 # YAML Anchors for common configurations
 x-common-config: &common-config
   env_file:
diff --git a/scripts/ctx_cli/commands/reset.py b/scripts/ctx_cli/commands/reset.py
index 5d21378a..24693a9e 100644
--- a/scripts/ctx_cli/commands/reset.py
+++ b/scripts/ctx_cli/commands/reset.py
@@ -171,6 +171,208 @@ def _download_file(url: str, dest: Path, description: str) -> bool:
             return False
 
 
+def _start_indexer_detached(compose_cmd: list) -> None:
+    """Kick off the indexer container in detached mode for background reindexing."""
+    indexer_env = {}
+    for var in ["INDEX_MICRO_CHUNKS", "MAX_MICRO_CHUNKS_PER_FILE", "TOKENIZER_PATH", "TOKENIZER_URL", "INDEX_WORKERS"]:
+        if var in os.environ:
+            indexer_env[var] = os.environ[var]
+    indexer_env["PSEUDO_DEFER_TO_WORKER"] = "1"
+    if "INDEX_WORKERS" not in indexer_env:
+        indexer_env["INDEX_WORKERS"] = "4"
+
+    subprocess.run(["docker", "rm", "-f", "ctx-reset-indexer"], capture_output=True, check=False)
+    indexer_cmd = compose_cmd + ["run", "-d", "--rm", "--name", "ctx-reset-indexer"]
+    for k, v in indexer_env.items():
+        indexer_cmd.extend(["-e", f"{k}={v}"])
+    indexer_cmd.extend(["indexer", "--root", "/work", "--recreate"])
+    _run_cmd(indexer_cmd, "Starting indexer (detached)")
+    _print("[green]✓[/green] Indexer started in background")
+    _print("[dim]  Monitor with: docker logs -f ctx-reset-indexer[/dim]")
+
+
+def _reset_containers(
+    compose_cmd: list,
+    build_containers: list,
+    start_containers: list,
+    mode_desc: str,
+    skip_build: bool,
+) -> int:
+    """Non-db-reset path: stop → rebuild --no-cache → up -d → indexer detached."""
+    _print("\n[bold][1/4] Stopping services...[/bold]")
+    _run_cmd(compose_cmd + ["down", "--remove-orphans", "--timeout", "10"], "Stopping all containers", check=False)
+    # Bind-mount volumes (workspace_pvc, codebase_pvc) cause interactive "config mismatch"
+    # prompts if their compose config-hash changed. Safe to remove — data lives on host disk.
+    for vol in ["context-engine_workspace_pvc", "context-engine_codebase_pvc"]:
+        subprocess.run(["docker", "volume", "rm", "-f", vol], capture_output=True, check=False)
+    _print("[green]✓[/green] Services stopped")
+
+    if not skip_build:
+        _print("\n[bold][2/4] Building containers (no-cache)...[/bold]")
+        _run_cmd(compose_cmd + ["build", "--no-cache"] + build_containers, f"Building: {', '.join(build_containers)}")
+        _print("[green]✓[/green] Containers built")
+    else:
+        _print("\n[bold][2/4] Skipping build[/bold]")
+
+    _print("\n[bold][3/4] Starting services...[/bold]")
+    cmd = compose_cmd + ["up", "-d", "--scale", "embedding=2"] + start_containers
+    _run_cmd(cmd, f"Starting: {', '.join(start_containers)} (embedding×2)")
+    _print("[green]✓[/green] Services started")
+
+    _print("\n[bold][4/4] Starting indexer...[/bold]")
+    qdrant_url = get_qdrant_url_for_host()
+    if not _wait_for_qdrant(qdrant_url):
+        return 1
+    _start_indexer_detached(compose_cmd)
+
+    _print_panel(
+        f"[green]✓[/green] Containers rebuilt and restarted\n\n"
+        f"[cyan]Mode:[/cyan] {mode_desc}\n"
+        f"[cyan]Services:[/cyan] {', '.join(start_containers)}\n\n"
+        f"[dim]Run 'ctx status' to verify all services are healthy.[/dim]",
+        title="Reset Complete",
+        border_style="green"
+    )
+    return 0
+
+
+def _reset_full(
+    compose_cmd: list,
+    build_containers: list,
+    start_containers: list,
+    mode_desc: str,
+    skip_build: bool,
+    skip_model: bool,
+    skip_tokenizer: bool,
+    model_url: str,
+    model_path: Path,
+    tokenizer_url: str,
+    tokenizer_path: Path,
+    neo4j_enabled: bool,
+    redis_enabled: bool,
+) -> int:
+    """Full db-reset path: nuke volumes → rebuild → init_payload → tokenizer → caches → reindex → model → up."""
+    import shutil
+
+    steps_total = 7
+    step = 0
+
+    step += 1
+    _print(f"\n[bold][{step}/{steps_total}] Stopping services and removing volumes...[/bold]")
+    _run_cmd(compose_cmd + ["down", "-v", "--remove-orphans", "--timeout", "10"], "Stopping all containers and removing volumes", check=False)
+    _print("[green]✓[/green] Services stopped and volumes removed")
+
+    step += 1
+    if not skip_build:
+        _print(f"\n[bold][{step}/{steps_total}] Building containers (no-cache)...[/bold]")
+        _run_cmd(compose_cmd + ["build", "--no-cache"] + build_containers, f"Building: {', '.join(build_containers)}")
+        _print("[green]✓[/green] Containers built")
+    else:
+        _print(f"\n[bold][{step}/{steps_total}] Skipping build[/bold]")
+
+    step += 1
+    db_services = ["qdrant"]
+    if redis_enabled:
+        db_services.append("redis")
+    if neo4j_enabled:
+        db_services.append("neo4j")
+    db_services.append("embedding")
+    _print(f"\n[bold][{step}/{steps_total}] Starting {', '.join(db_services)}...[/bold]")
+    _run_cmd(compose_cmd + ["up", "-d", "--scale", "embedding=2"] + db_services, f"Starting {', '.join(db_services)} (embedding×2)")
+
+    qdrant_url = get_qdrant_url_for_host()
+    if not _wait_for_qdrant(qdrant_url):
+        return 1
+    if not _wait_for_embedding("http://localhost:8100"):
+        _print("[yellow]Warning:[/yellow] Embedding service not ready, indexer may have errors")
+
+    step += 1
+    _print(f"\n[bold][{step}/{steps_total}] Initializing payload indexes...[/bold]")
+    _run_cmd(compose_cmd + ["run", "--rm", "init_payload"], "Running init_payload", check=False)
+
+    step += 1
+    if not skip_tokenizer:
+        _print(f"\n[bold][{step}/{steps_total}] Downloading tokenizer...[/bold]")
+        if not _download_file(tokenizer_url, tokenizer_path, "tokenizer"):
+            _print("[yellow]Warning:[/yellow] Tokenizer download failed, continuing...")
+    else:
+        _print(f"\n[bold][{step}/{steps_total}] Skipping tokenizer download[/bold]")
+
+    step += 1
+    _print(f"\n[bold][{step}/{steps_total}] Clearing caches and running indexer...[/bold]")
+
+    _print("[dim]Clearing local caches...[/dim]")
+    cache_cleared = 0
+    codebase_dir = Path(".codebase")
+    if codebase_dir.exists():
+        for cache_file in codebase_dir.rglob("cache.json"):
+            try:
+                cache_file.unlink()
+                cache_cleared += 1
+            except Exception as e:
+                logger.debug(f"Suppressed exception: {e}")
+        for symbols_dir in codebase_dir.rglob("symbols"):
+            if symbols_dir.is_dir():
+                try:
+                    shutil.rmtree(symbols_dir, ignore_errors=True)
+                    cache_cleared += 1
+                except Exception as e:
+                    logger.debug(f"Suppressed exception: {e}")
+
+    dev_workspace = Path("dev-workspace")
+    if dev_workspace.exists():
+        for cache_file in dev_workspace.rglob(".codebase/cache.json"):
+            try:
+                cache_file.unlink()
+                cache_cleared += 1
+            except Exception as e:
+                logger.debug(f"Suppressed exception: {e}")
+        for symbols_dir in dev_workspace.rglob(".codebase/symbols"):
+            if symbols_dir.is_dir():
+                try:
+                    shutil.rmtree(symbols_dir, ignore_errors=True)
+                    cache_cleared += 1
+                except Exception as e:
+                    logger.debug(f"Suppressed exception: {e}")
+    _print(f"[dim]Cleared {cache_cleared} host cache entries[/dim]")
+
+    _print("[dim]Clearing container caches...[/dim]")
+    _run_cmd(
+        compose_cmd + ["run", "--rm", "--entrypoint", "sh", "indexer", "-c",
+         "find /work -path '*/.codebase/*/cache.json' -delete 2>/dev/null; "
+         "find /work -path '*/.codebase/cache.json' -delete 2>/dev/null; "
+         "find /work -path '*/.codebase/*/symbols' -type d -exec rm -rf {} + 2>/dev/null; "
+         "find /work -path '*/.codebase/symbols' -type d -exec rm -rf {} + 2>/dev/null; "
+         "echo 'Container caches cleared'"],
+        "Clearing container caches",
+        check=False,
+    )
+
+    _start_indexer_detached(compose_cmd)
+
+    step += 1
+    if not skip_model:
+        _print(f"\n[bold][{step}/{steps_total}] Downloading model and starting services...[/bold]")
+        if not _download_file(model_url, model_path, "llama model"):
+            _print("[yellow]Warning:[/yellow] Model download failed, continuing...")
+    else:
+        _print(f"\n[bold][{step}/{steps_total}] Starting services...[/bold]")
+
+    cmd = compose_cmd + ["up", "-d", "--scale", "embedding=2"] + start_containers
+    _run_cmd(cmd, f"Starting: {', '.join(start_containers)} (embedding×2)")
+    _print("[green]✓[/green] Services started")
+
+    _print_panel(
+        f"[green]✓[/green] Full environment reset complete!\n\n"
+        f"[cyan]Mode:[/cyan] {mode_desc}\n"
+        f"[cyan]Services:[/cyan] {', '.join(start_containers)}\n\n"
+        f"[dim]Run 'ctx status' to verify all services are healthy.[/dim]",
+        title="Reset Complete",
+        border_style="green"
+    )
+    return 0
+
+
 def reset(
     mode: str = "mcp",
     skip_build: bool = False,
@@ -268,193 +470,39 @@ def reset(
 
     _print_panel(
         f"[cyan]Mode:[/cyan] {mode_desc}\n"
-        f"[cyan]Skip Build:[/cyan] {skip_build}\n"
-        f"[cyan]Skip Model:[/cyan] {skip_model}\n"
-        f"[cyan]Skip Tokenizer:[/cyan] {skip_tokenizer}\n"
-        f"[cyan]DB Reset:[/cyan] {db_reset}",
+        f"[cyan]DB Reset:[/cyan] {db_reset}\n"
+        f"[cyan]Skip Build:[/cyan] {skip_build}",
         title="Development Environment Reset",
         border_style="yellow"
     )
 
-    steps_total = 7
-    step = 0
-
     try:
-        # Step 1: Stop all services (and optionally reset database volumes)
-        step += 1
-        _print(f"\n[bold][{step}/{steps_total}] Stopping services...[/bold]")
         if db_reset:
-            # Full reset including database volumes (qdrant, redis, neo4j, embedding cache)
-            _run_cmd(compose_cmd + ["down", "-v", "--remove-orphans"], "Stopping all containers and removing volumes", check=False)
-            _print("[green]✓[/green] Services stopped and database volumes removed")
-        else:
-            # Stop services but preserve database volumes
-            _run_cmd(compose_cmd + ["down", "--remove-orphans"], "Stopping all containers", check=False)
-            _print("[green]✓[/green] Services stopped (database volumes preserved)")
-
-        # Step 2: Build containers (unless skipped)
-        step += 1
-        if not skip_build:
-            _print(f"\n[bold][{step}/{steps_total}] Building containers...[/bold]")
-            cmd = compose_cmd + ["build", "--no-cache"] + build_containers
-            _run_cmd(cmd, f"Building: {', '.join(build_containers)}")
-            _print("[green]✓[/green] Containers built")
-        else:
-            _print(f"\n[bold][{step}/{steps_total}] Skipping container build[/bold]")
-
-        # Step 3: Start Qdrant, Redis (if enabled), Neo4j (if enabled), and Embedding service
-        step += 1
-        db_services = ["qdrant"]
-        if redis_enabled:
-            db_services.append("redis")
-        if neo4j_enabled:
-            db_services.append("neo4j")
-        # Start embedding service early (indexer needs it)
-        db_services.append("embedding")
-        _print(f"\n[bold][{step}/{steps_total}] Starting {', '.join(db_services)}...[/bold]")
-        # Use --scale for embedding to get 2 replicas (deploy.replicas is Swarm-only)
-        _run_cmd(compose_cmd + ["up", "-d", "--scale", "embedding=2"] + db_services, f"Starting {', '.join(db_services)} (embedding×2)")
-
-        # Use helper that normalizes Docker hostname to localhost for host CLI
-        qdrant_url = get_qdrant_url_for_host()
-        if not _wait_for_qdrant(qdrant_url):
-            return 1
-
-        # Wait for embedding service to be ready (indexer needs it)
-        if not _wait_for_embedding("http://localhost:8100"):
-            _print("[yellow]Warning:[/yellow] Embedding service not ready, indexer may have errors")
-
-        # Step 4: Initialize payload indexes
-        step += 1
-        _print(f"\n[bold][{step}/{steps_total}] Initializing payload indexes...[/bold]")
-        _run_cmd(
-            compose_cmd + ["run", "--rm", "init_payload"],
-            "Running init_payload",
-            check=False  # May fail if collection doesn't exist yet
-        )
-
-        # Step 5: Download tokenizer
-        step += 1
-        if not skip_tokenizer:
-            _print(f"\n[bold][{step}/{steps_total}] Downloading tokenizer...[/bold]")
-            if not _download_file(tokenizer_url, tokenizer_path, "tokenizer"):
-                _print("[yellow]Warning:[/yellow] Tokenizer download failed, continuing...")
+            return _reset_full(
+                compose_cmd=compose_cmd,
+                build_containers=build_containers,
+                start_containers=start_containers,
+                mode_desc=mode_desc,
+                skip_build=skip_build,
+                skip_model=skip_model,
+                skip_tokenizer=skip_tokenizer,
+                model_url=model_url,
+                model_path=model_path,
+                tokenizer_url=tokenizer_url,
+                tokenizer_path=tokenizer_path,
+                neo4j_enabled=neo4j_enabled,
+                redis_enabled=redis_enabled,
+            )
         else:
-            _print(f"\n[bold][{step}/{steps_total}] Skipping tokenizer download[/bold]")
-
-        # Step 6: Clear caches and run indexer with recreate
-        step += 1
-        _print(f"\n[bold][{step}/{steps_total}] Clearing caches and running indexer...[/bold]")
-
-        # Clear local caches (host side) - use rglob to find all cache files
-        _print("[dim]Clearing local caches...[/dim]")
-        import shutil
-        cache_cleared = 0
-
-        # Clear all cache.json files under .codebase (including repos subdirs)
-        codebase_dir = Path(".codebase")
-        if codebase_dir.exists():
-            for cache_file in codebase_dir.rglob("cache.json"):
-                try:
-                    cache_file.unlink()
-                    cache_cleared += 1
-                except Exception as e:
-                    logger.debug(f"Suppressed exception: {e}")
-            # Clear all symbols directories
-            for symbols_dir in codebase_dir.rglob("symbols"):
-                if symbols_dir.is_dir():
-                    try:
-                        shutil.rmtree(symbols_dir, ignore_errors=True)
-                        cache_cleared += 1
-                    except Exception as e:
-                        logger.debug(f"Suppressed exception: {e}")
-
-        # Also clear dev-workspace caches (if present)
-        dev_workspace = Path("dev-workspace")
-        if dev_workspace.exists():
-            for cache_file in dev_workspace.rglob(".codebase/cache.json"):
-                try:
-                    cache_file.unlink()
-                    cache_cleared += 1
-                except Exception as e:
-                    logger.debug(f"Suppressed exception: {e}")
-            for symbols_dir in dev_workspace.rglob(".codebase/symbols"):
-                if symbols_dir.is_dir():
-                    try:
-                        shutil.rmtree(symbols_dir, ignore_errors=True)
-                        cache_cleared += 1
-                    except Exception as e:
-                        logger.debug(f"Suppressed exception: {e}")
-
-        _print(f"[dim]Cleared {cache_cleared} host cache entries[/dim]")
-
-        # Also clear caches inside the container (critical for bind-mounted workspaces)
-        _print("[dim]Clearing container caches...[/dim]")
-        _run_cmd(
-            compose_cmd + ["run", "--rm", "--entrypoint", "sh", "indexer", "-c",
-             "find /work -path '*/.codebase/*/cache.json' -delete 2>/dev/null; "
-             "find /work -path '*/.codebase/cache.json' -delete 2>/dev/null; "
-             "find /work -path '*/.codebase/*/symbols' -type d -exec rm -rf {} + 2>/dev/null; "
-             "find /work -path '*/.codebase/symbols' -type d -exec rm -rf {} + 2>/dev/null; "
-             "echo 'Container caches cleared'"],
-            "Clearing container caches",
-            check=False,
-        )
-
-        # Build env vars for indexer
-        indexer_env = {}
-        for var in ["INDEX_MICRO_CHUNKS", "MAX_MICRO_CHUNKS_PER_FILE", "TOKENIZER_PATH", "TOKENIZER_URL", "INDEX_WORKERS"]:
-            if var in os.environ:
-                indexer_env[var] = os.environ[var]
-
-        indexer_env["PSEUDO_DEFER_TO_WORKER"] = "1"
-        if "INDEX_WORKERS" not in indexer_env:
-            indexer_env["INDEX_WORKERS"] = "4"
-
-        # Run indexer detached (-d) so CLI doesn't block
-        # Use --rm to auto-remove container on exit; first remove any stale container with same name
-        # to ensure idempotent operation across multiple runs
-        subprocess.run(
-            ["docker", "rm", "-f", "ctx-reset-indexer"],
-            capture_output=True,
-            check=False,  # Ignore error if container doesn't exist
-        )
-        indexer_cmd = compose_cmd + ["run", "-d", "--rm", "--name", "ctx-reset-indexer"]
-        for k, v in indexer_env.items():
-            indexer_cmd.extend(["-e", f"{k}={v}"])
-        indexer_cmd.extend(["indexer", "--root", "/work", "--recreate"])
-
-        _run_cmd(indexer_cmd, "Starting indexer (detached)")
-        _print("[green]✓[/green] Indexer started in background (pseudo-tags deferred)")
-        _print("[dim]  Monitor with: docker logs -f ctx-reset-indexer[/dim]")
-
-        # Step 7: Download model and start services
-        step += 1
-        if not skip_model:
-            _print(f"\n[bold][{step}/{steps_total}] Downloading model and starting services...[/bold]")
-            if not _download_file(model_url, model_path, "llama model"):
-                _print("[yellow]Warning:[/yellow] Model download failed, continuing...")
-        else:
-            _print(f"\n[bold][{step}/{steps_total}] Starting services...[/bold]")
-
-        # Start services
-        # Use --scale for embedding service to get multiple replicas (deploy.replicas is Swarm-only)
-        cmd = compose_cmd + ["up", "-d", "--scale", "embedding=2"] + start_containers
-        _run_cmd(cmd, f"Starting: {', '.join(start_containers)} (embedding×2)")
-        _print("[green]✓[/green] Services started")
-
-        _print_panel(
-            f"[green]✓[/green] Development environment reset complete!\n\n"
-            f"[cyan]Mode:[/cyan] {mode_desc}\n"
-            f"[cyan]Services:[/cyan] {', '.join(start_containers)}\n\n"
-            f"[dim]Run 'ctx status' to verify all services are healthy.[/dim]",
-            title="Reset Complete",
-            border_style="green"
-        )
-        return 0
-
-    except subprocess.CalledProcessError as e:
-        _print(f"[red]Error:[/red] Reset failed at step {step}", error=True)
+            return _reset_containers(
+                compose_cmd=compose_cmd,
+                build_containers=build_containers,
+                start_containers=start_containers,
+                mode_desc=mode_desc,
+                skip_build=skip_build,
+            )
+    except subprocess.CalledProcessError:
+        _print("[red]Error:[/red] Reset failed", error=True)
         return 1
     except KeyboardInterrupt:
         _print("\n[yellow]Reset interrupted[/yellow]")