feat(search): add structured filters to AI session list endpoint and frontend

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/api/endpoints/ai_sessions.py

@@ -11,6 +11,7 @@ CRUD and interaction endpoints for AI-powered troubleshooting sessions:
   POST   /ai-sessions/{id}/rate         — Submit post-session rating
 """
 import logging
+from datetime import datetime
 from typing import Annotated, Optional
 from uuid import UUID
 
@@ -464,6 +465,13 @@ async def list_sessions(
     session_status: Optional[str] = Query(None, alias="status"),
     skip: int = Query(0, ge=0),
     limit: int = Query(20, ge=1, le=100),
+    problem_domain: Optional[str] = Query(None),
+    matched_flow_id: Optional[UUID] = Query(None),
+    confidence_tier: Optional[str] = Query(None, pattern="^(guided|exploring|discovery)$"),
+    ticket_id: Optional[str] = Query(None),
+    date_from: Optional[datetime] = Query(None),
+    date_to: Optional[datetime] = Query(None),
+    q: Optional[str] = Query(None, min_length=2, max_length=200),
 ):
     """List the current user's AI sessions (owned or picked up)."""
     user_id_str = str(current_user.id)
@@ -482,6 +490,19 @@ async def list_sessions(
 
     if session_status:
         query = query.where(AISession.status == session_status)
+    if problem_domain:
+        query = query.where(AISession.problem_domain == problem_domain)
+    if matched_flow_id:
+        query = query.where(AISession.matched_flow_id == matched_flow_id)
+    if confidence_tier:
+        query = query.where(AISession.confidence_tier == confidence_tier)
+    if ticket_id:
+        query = query.where(AISession.ticket_id == ticket_id)
+    if date_from:
+        query = query.where(AISession.created_at >= date_from)
+    if date_to:
+        query = query.where(AISession.created_at <= date_to)
+    # TODO: Full-text search via q param — see Task 7
 
     result = await db.execute(query)
     sessions = result.scalars().all()

backend/app/api/endpoints/sessions.py

@@ -424,18 +424,43 @@ async def export_session(
         for sd in sd_result.scalars().all()
     ]
 
+    # Query file upload evidence for non-PDF formats
+    from app.models.file_upload import FileUpload
+    from app.services import storage_service as _storage_service
+    from app.core.config import settings as _export_settings
+    upload_items: list[dict] = []
+    if _export_settings.STORAGE_ENDPOINT:
+        try:
+            uploads_result = await db.execute(
+                select(FileUpload)
+                .where(FileUpload.session_id == session_id)
+                .order_by(FileUpload.created_at)
+            )
+            for u in uploads_result.scalars().all():
+                try:
+                    url = _storage_service.get_presigned_url(u.storage_key)
+                    upload_items.append({
+                        "filename": u.filename,
+                        "url": url,
+                        "is_image": u.content_type.startswith("image/"),
+                    })
+                except Exception:
+                    pass  # Skip uploads that fail URL generation
+        except Exception:
+            pass  # Storage errors should not fail the export
+
     # Generate export based on format
     if export_options.format == "markdown":
-        content = generate_markdown_export(session, export_options, supporting_data=supporting_data_items)
+        content = generate_markdown_export(session, export_options, supporting_data=supporting_data_items, uploads=upload_items)
         media_type = "text/markdown"
     elif export_options.format == "html":
-        content = generate_html_export(session, export_options, supporting_data=supporting_data_items)
+        content = generate_html_export(session, export_options, supporting_data=supporting_data_items, uploads=upload_items)
         media_type = "text/html"
     elif export_options.format == "psa":
-        content = generate_psa_export(session, export_options, supporting_data=supporting_data_items)
+        content = generate_psa_export(session, export_options, supporting_data=supporting_data_items, uploads=upload_items)
         media_type = "text/plain"
     else:  # text
-        content = generate_text_export(session, export_options, supporting_data=supporting_data_items)
+        content = generate_text_export(session, export_options, supporting_data=supporting_data_items, uploads=upload_items)
         media_type = "text/plain"
 
     # Resolve variables in export output

backend/app/services/export_service.py

@@ -171,10 +171,10 @@ def _escape_markdown_table(value: str) -> str:
     return value.replace("|", "\\|").replace("\n", " ")
 
 
-def generate_markdown_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None) -> str:
+def generate_markdown_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None, uploads: list[dict] | None = None) -> str:
     """Generate markdown export."""
     if _is_procedural_session(session):
-        return _generate_procedural_markdown(session, options)
+        return _generate_procedural_markdown(session, options, uploads=uploads)
     lines = []
     outcome_label = _get_outcome_label(session)
 
@@ -223,6 +223,21 @@ def generate_markdown_export(session: Session, options: SessionExport, supportin
         lines.append("---")
         lines.append("")
 
+    # File upload evidence
+    if uploads:
+        lines.append("## Evidence")
+        lines.append("")
+        for upload in uploads:
+            name = upload["filename"]
+            url = upload["url"]
+            if upload.get("is_image"):
+                lines.append(f"- ![{name}]({url})")
+            else:
+                lines.append(f"- [{name}]({url})")
+        lines.append("")
+        lines.append("---")
+        lines.append("")
+
     lines.append("## Troubleshooting Steps")
     lines.append("")
 
@@ -306,10 +321,10 @@ def generate_markdown_export(session: Session, options: SessionExport, supportin
     return "\n".join(lines)
 
 
-def generate_text_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None) -> str:
+def generate_text_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None, uploads: list[dict] | None = None) -> str:
     """Generate plain text export."""
     if _is_procedural_session(session):
-        return _generate_procedural_text(session, options)
+        return _generate_procedural_text(session, options, uploads=uploads)
     lines = []
     outcome_label = _get_outcome_label(session)
 
@@ -349,6 +364,13 @@ def generate_text_export(session: Session, options: SessionExport, supporting_da
         lines.append(scratchpad)
         lines.append("")
 
+    # File upload evidence
+    if uploads:
+        lines.append("--- Evidence ---")
+        for upload in uploads:
+            lines.append(f"- {upload['filename']}: {upload['url']}")
+        lines.append("")
+
     lines.append("TROUBLESHOOTING STEPS")
     lines.append("-" * 20)
 
@@ -420,10 +442,10 @@ def generate_text_export(session: Session, options: SessionExport, supporting_da
     return "\n".join(lines)
 
 
-def generate_html_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None) -> str:
+def generate_html_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None, uploads: list[dict] | None = None) -> str:
     """Generate HTML export."""
     if _is_procedural_session(session):
-        return _generate_procedural_html(session, options)
+        return _generate_procedural_html(session, options, uploads=uploads)
     tree_name = html.escape(session.tree_snapshot.get("name", "Troubleshooting Session"))
     outcome_label = _get_outcome_label(session)
 
@@ -476,6 +498,19 @@ def generate_html_export(session: Session, options: SessionExport, supporting_da
         html_parts.append('<h2>Evidence / Reference</h2>')
         html_parts.append(f'<div class="scratchpad" style="white-space: pre-wrap; background: #f9f9f9; padding: 12px; border-radius: 4px; margin-bottom: 20px;">{html.escape(scratchpad)}</div>')
 
+    # File upload evidence
+    if uploads:
+        html_parts.append('<h3>Evidence</h3>')
+        html_parts.append('<div class="evidence-grid" style="margin-bottom: 20px;">')
+        for upload in uploads:
+            name = html.escape(upload["filename"])
+            url = html.escape(upload["url"])
+            if upload.get("is_image"):
+                html_parts.append(f'<img src="{url}" alt="{name}" style="max-width: 400px; border-radius: 8px; display: block; margin-bottom: 8px;" />')
+            else:
+                html_parts.append(f'<p><a href="{url}">{name}</a></p>')
+        html_parts.append('</div>')
+
     html_parts.append('<h2>Troubleshooting Steps</h2>')
 
     decisions = session.decisions
@@ -541,10 +576,10 @@ def generate_html_export(session: Session, options: SessionExport, supporting_da
     return "\n".join(html_parts)
 
 
-def generate_psa_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None) -> str:
+def generate_psa_export(session: Session, options: SessionExport, supporting_data: list[dict] | None = None, uploads: list[dict] | None = None) -> str:
     """Generate PSA/ticket note export optimized for ConnectWise and similar PSA tools."""
     if _is_procedural_session(session):
-        return _generate_procedural_psa(session, options)
+        return _generate_procedural_psa(session, options, uploads=uploads)
     lines = []
     outcome_label = _get_outcome_label(session)
 
@@ -661,6 +696,13 @@ def generate_psa_export(session: Session, options: SessionExport, supporting_dat
     scratchpad = getattr(session, 'scratchpad', '') or ''
     lines.append(scratchpad.strip() if scratchpad.strip() else "None")
 
+    # File upload evidence
+    if uploads:
+        lines.append("")
+        lines.append("--- Evidence ---")
+        for upload in uploads:
+            lines.append(f"- {upload['filename']} — [{upload['url']}]")
+
     # Branding footer
     lines.append("")
     lines.append("---")
@@ -682,7 +724,7 @@ def _get_session_variables(session: Session) -> dict[str, str]:
     return {}
 
 
-def _generate_procedural_markdown(session: Session, options: SessionExport) -> str:
+def _generate_procedural_markdown(session: Session, options: SessionExport, uploads: list[dict] | None = None) -> str:
     """Generate markdown export for procedural sessions."""
     lines = []
     outcome_label = _get_outcome_label(session)
@@ -755,6 +797,21 @@ def _generate_procedural_markdown(session: Session, options: SessionExport) -> s
         lines.append(outcome_notes.strip())
         lines.append("")
 
+    # File upload evidence
+    if uploads:
+        lines.append("---")
+        lines.append("")
+        lines.append("## Evidence")
+        lines.append("")
+        for upload in uploads:
+            name = upload["filename"]
+            url = upload["url"]
+            if upload.get("is_image"):
+                lines.append(f"- ![{name}]({url})")
+            else:
+                lines.append(f"- [{name}]({url})")
+        lines.append("")
+
     # Branding footer
     lines.append("---")
     lines.append("Generated with ResolutionFlow — https://resolutionflow.com")
@@ -762,7 +819,7 @@ def _generate_procedural_markdown(session: Session, options: SessionExport) -> s
     return "\n".join(lines)
 
 
-def _generate_procedural_text(session: Session, options: SessionExport) -> str:
+def _generate_procedural_text(session: Session, options: SessionExport, uploads: list[dict] | None = None) -> str:
     """Generate plain text export for procedural sessions."""
     lines = []
     outcome_label = _get_outcome_label(session)
@@ -824,6 +881,13 @@ def _generate_procedural_text(session: Session, options: SessionExport) -> str:
         lines.append("-" * 20)
         lines.append(outcome_notes.strip())
 
+    # File upload evidence
+    if uploads:
+        lines.append("")
+        lines.append("--- Evidence ---")
+        for upload in uploads:
+            lines.append(f"- {upload['filename']}: {upload['url']}")
+
     # Branding footer
     lines.append("")
     lines.append("---")
@@ -832,7 +896,7 @@ def _generate_procedural_text(session: Session, options: SessionExport) -> str:
     return "\n".join(lines)
 
 
-def _generate_procedural_html(session: Session, options: SessionExport) -> str:
+def _generate_procedural_html(session: Session, options: SessionExport, uploads: list[dict] | None = None) -> str:
     """Generate HTML export for procedural sessions."""
     tree_name = html.escape(session.tree_snapshot.get("name", "Procedure"))
     outcome_label = _get_outcome_label(session)
@@ -914,6 +978,19 @@ def _generate_procedural_html(session: Session, options: SessionExport) -> str:
         html_parts.append('<h2>Notes</h2>')
         html_parts.append(f'<div style="white-space: pre-wrap;">{html.escape(outcome_notes.strip())}</div>')
 
+    # File upload evidence
+    if uploads:
+        html_parts.append('<h3>Evidence</h3>')
+        html_parts.append('<div class="evidence-grid" style="margin-bottom: 20px;">')
+        for upload in uploads:
+            name = html.escape(upload["filename"])
+            url = html.escape(upload["url"])
+            if upload.get("is_image"):
+                html_parts.append(f'<img src="{url}" alt="{name}" style="max-width: 400px; border-radius: 8px; display: block; margin-bottom: 8px;" />')
+            else:
+                html_parts.append(f'<p><a href="{url}">{name}</a></p>')
+        html_parts.append('</div>')
+
     # Branding footer
     html_parts.append('<hr style="margin-top: 32px; border: none; border-top: 1px solid #ddd;">')
     html_parts.append('<p style="margin-top: 12px; font-size: 0.8em; color: #999; text-align: center;">Generated with <a href="https://resolutionflow.com" style="color: #06b6d4; text-decoration: none;">ResolutionFlow</a> — https://resolutionflow.com</p>')
@@ -922,7 +999,7 @@ def _generate_procedural_html(session: Session, options: SessionExport) -> str:
     return "\n".join(html_parts)
 
 
-def _generate_procedural_psa(session: Session, options: SessionExport) -> str:
+def _generate_procedural_psa(session: Session, options: SessionExport, uploads: list[dict] | None = None) -> str:
     """Generate PSA/ticket export for procedural sessions."""
     lines = []
     outcome_label = _get_outcome_label(session)
@@ -987,6 +1064,13 @@ def _generate_procedural_psa(session: Session, options: SessionExport) -> str:
     lines.append("--- TIME SPENT ---")
     lines.append(f"Duration: {_format_duration(session.started_at, session.completed_at)}")
 
+    # File upload evidence
+    if uploads:
+        lines.append("")
+        lines.append("--- Evidence ---")
+        for upload in uploads:
+            lines.append(f"- {upload['filename']} — [{upload['url']}]")
+
     # Branding footer
     lines.append("")
     lines.append("---")
@@ -1095,6 +1179,32 @@ async def generate_pdf_export(session: Session, options: SessionExport, db) -> b
         for sd in supporting_data_rows
     ]
 
+    # Query file upload evidence
+    from app.models.file_upload import FileUpload
+    from app.services import storage_service
+    from app.core.config import settings as _settings
+    uploads_for_export: list[dict] = []
+    if _settings.STORAGE_ENDPOINT:
+        try:
+            uploads_result = await db.execute(
+                sa_select(FileUpload)
+                .where(FileUpload.session_id == session.id)
+                .order_by(FileUpload.created_at)
+            )
+            upload_rows = uploads_result.scalars().all()
+            for u in upload_rows:
+                try:
+                    url = storage_service.get_presigned_url(u.storage_key)
+                    uploads_for_export.append({
+                        "filename": u.filename,
+                        "url": url,
+                        "is_image": u.content_type.startswith("image/"),
+                    })
+                except Exception:
+                    pass  # Skip individual uploads that fail URL generation
+        except Exception:
+            pass  # Storage errors should not fail the export
+
     # Calculate duration and format outcome
     duration = _format_duration(session.started_at, session.completed_at)
     session_date = session.started_at.strftime("%Y-%m-%d %H:%M")
@@ -1172,6 +1282,7 @@ async def generate_pdf_export(session: Session, options: SessionExport, db) -> b
         summary=summary_text,
         steps=steps,
         supporting_data=supporting_data,
+        uploads=uploads_for_export,
         generated_at=generated_at,
     )
 

backend/app/templates/export_pdf.html

@@ -362,5 +362,24 @@
   </div>
   {% endif %}
 
+  <!-- File Upload Evidence -->
+  {% if uploads %}
+  <div class="supporting-data">
+    <div class="section-title">Evidence</div>
+    <div style="display: flex; flex-wrap: wrap; gap: 12px;">
+      {% for upload in uploads %}
+      <div style="margin-bottom: 8px;">
+        {% if upload.is_image %}
+        <img src="{{ upload.url }}" alt="{{ upload.filename }}" style="max-width: 400px; border-radius: 8px; display: block; margin-bottom: 4px;" />
+        <div style="font-size: 0.8em; color: #666;">{{ upload.filename }}</div>
+        {% else %}
+        <a href="{{ upload.url }}" style="color: #06b6d4;">{{ upload.filename }}</a>
+        {% endif %}
+      </div>
+      {% endfor %}
+    </div>
+  </div>
+  {% endif %}
+
 </body>
 </html>

frontend/src/api/aiSessions.ts

@@ -43,8 +43,23 @@ export const aiSessionsApi = {
     return response.data
   },
 
-  async listSessions(params?: { status?: string; skip?: number; limit?: number }): Promise<AISessionSummary[]> {
-    const response = await apiClient.get<AISessionSummary[]>('/ai-sessions', { params })
+  async listSessions(params?: {
+    status?: string
+    skip?: number
+    limit?: number
+    problem_domain?: string
+    matched_flow_id?: string
+    confidence_tier?: string
+    ticket_id?: string
+    date_from?: string
+    date_to?: string
+    q?: string
+  }): Promise<AISessionSummary[]> {
+    // Strip empty string values so they aren't sent as empty query params
+    const cleanParams = params
+      ? Object.fromEntries(Object.entries(params).filter(([, v]) => v !== '' && v !== undefined))
+      : undefined
+    const response = await apiClient.get<AISessionSummary[]>('/ai-sessions', { params: cleanParams })
     return response.data
   },
 

frontend/src/pages/SessionHistoryPage.tsx

@@ -1,4 +1,5 @@
 import { useEffect, useState, useRef, useCallback } from 'react'
+import { Search } from 'lucide-react'
 import { Link, useNavigate, useSearchParams } from 'react-router-dom'
 import { PageMeta } from '@/components/common/PageMeta'
 import { sessionsApi } from '@/api/sessions'
@@ -24,6 +25,13 @@ export function SessionHistoryPage() {
   const [sessionType, setSessionType] = useState<'flow' | 'ai'>('flow')
   const [aiSessions, setAiSessions] = useState<AISessionSummary[]>([])
   const [aiLoading, setAiLoading] = useState(false)
+  const [aiFilters, setAiFilters] = useState({
+    q: '',
+    problem_domain: '',
+    confidence_tier: '',
+    date_from: '',
+    date_to: '',
+  })
 
   const [sessions, setSessions] = useState<Session[]>([])
   const [hasMore, setHasMore] = useState(false)
@@ -147,14 +155,21 @@ export function SessionHistoryPage() {
     setSearchParams(params, { replace: true })
   }, [filters, setSearchParams])
 
-  // Load AI sessions when tab is active
+  // Load AI sessions when tab is active or filters change
   useEffect(() => {
     if (sessionType !== 'ai') return
     let cancelled = false
     const loadAiSessions = async () => {
       setAiLoading(true)
       try {
-        const data = await aiSessionsApi.listSessions({ limit: 50 })
+        const data = await aiSessionsApi.listSessions({
+          limit: 50,
+          q: aiFilters.q || undefined,
+          problem_domain: aiFilters.problem_domain || undefined,
+          confidence_tier: aiFilters.confidence_tier || undefined,
+          date_from: aiFilters.date_from || undefined,
+          date_to: aiFilters.date_to || undefined,
+        })
         if (!cancelled) setAiSessions(data)
       } catch {
         if (!cancelled) toast.error('Failed to load AI sessions')
@@ -164,7 +179,7 @@ export function SessionHistoryPage() {
     }
     loadAiSessions()
     return () => { cancelled = true }
-  }, [sessionType])
+  }, [sessionType, aiFilters])
 
   const handleFilterChange = (newFilters: SessionFilterState) => {
     setFilters(newFilters)
@@ -300,30 +315,131 @@ export function SessionHistoryPage() {
 
       {/* AI Sessions view */}
       {sessionType === 'ai' && (
-        aiLoading ? (
-          <div className="flex justify-center py-12">
-            <Spinner />
-          </div>
-        ) : aiSessions.length === 0 ? (
-          <EmptyState
-            title="No AI sessions yet"
-            description="Start a FlowPilot session to get AI-guided troubleshooting. Sessions will appear here."
-            action={
-              <Link
-                to="/pilot"
-                className="inline-flex items-center gap-2 rounded-[10px] bg-gradient-brand px-5 py-2.5 text-sm font-semibold text-[#101114] shadow-lg shadow-primary/20 hover:opacity-90 active:scale-[0.97] transition-all"
+        <>
+          {/* AI Session Filter Bar */}
+          <div className="glass-card-static p-3 mb-4">
+            <div className="flex flex-wrap gap-3 items-center">
+              {/* Search input */}
+              <div className="relative flex-1 min-w-[180px]">
+                <Search className="absolute left-2.5 top-1/2 -translate-y-1/2 h-3.5 w-3.5 text-muted-foreground pointer-events-none" />
+                <input
+                  type="text"
+                  value={aiFilters.q}
+                  onChange={(e) => setAiFilters((f) => ({ ...f, q: e.target.value }))}
+                  placeholder="Search sessions..."
+                  className="w-full rounded-lg border border-border bg-card pl-8 pr-3 py-1.5 text-sm text-foreground placeholder:text-muted-foreground focus:border-[rgba(6,182,212,0.3)] focus:outline-none"
+                />
+              </div>
+
+              {/* Problem domain dropdown */}
+              <select
+                value={aiFilters.problem_domain}
+                onChange={(e) => setAiFilters((f) => ({ ...f, problem_domain: e.target.value }))}
+                title="Filter by problem domain"
+                className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:border-[rgba(6,182,212,0.3)] focus:outline-none [&>option]:bg-[#1a1c21] [&>option]:text-foreground"
               >
-                Start AI Session
-              </Link>
-            }
-          />
-        ) : (
-          <div className="space-y-2">
-            {aiSessions.map((s) => (
-              <AISessionListItem key={s.id} session={s} />
-            ))}
+                <option value="">All domains</option>
+                <option value="Active Directory">Active Directory</option>
+                <option value="Networking">Networking</option>
+                <option value="Microsoft 365">Microsoft 365</option>
+                <option value="Hardware">Hardware</option>
+                <option value="Security">Security</option>
+                <option value="Email">Email</option>
+                <option value="Printing">Printing</option>
+                <option value="VPN / Remote Access">VPN / Remote Access</option>
+                <option value="Cloud Services">Cloud Services</option>
+                <option value="Other">Other</option>
+              </select>
+
+              {/* Confidence tier pills */}
+              <div className="flex gap-1">
+                {(['', 'guided', 'exploring', 'discovery'] as const).map((tier) => (
+                  <button
+                    key={tier}
+                    onClick={() => setAiFilters((f) => ({ ...f, confidence_tier: tier }))}
+                    className={cn(
+                      'rounded-full border px-3 py-1 text-xs font-label transition-colors',
+                      aiFilters.confidence_tier === tier
+                        ? 'bg-primary/10 text-foreground border-primary/30'
+                        : 'bg-card text-muted-foreground border-border hover:text-foreground hover:border-[rgba(255,255,255,0.12)]'
+                    )}
+                  >
+                    {tier === '' ? 'All' : tier.charAt(0).toUpperCase() + tier.slice(1)}
+                  </button>
+                ))}
+              </div>
+
+              {/* Date range inputs */}
+              <div className="flex items-center gap-2">
+                <input
+                  type="date"
+                  value={aiFilters.date_from}
+                  onChange={(e) => setAiFilters((f) => ({ ...f, date_from: e.target.value }))}
+                  title="From date"
+                  className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:border-[rgba(6,182,212,0.3)] focus:outline-none [color-scheme:dark]"
+                />
+                <span className="text-xs text-muted-foreground">to</span>
+                <input
+                  type="date"
+                  value={aiFilters.date_to}
+                  onChange={(e) => setAiFilters((f) => ({ ...f, date_to: e.target.value }))}
+                  title="To date"
+                  className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:border-[rgba(6,182,212,0.3)] focus:outline-none [color-scheme:dark]"
+                />
+              </div>
+
+              {/* Clear filters */}
+              {(aiFilters.q || aiFilters.problem_domain || aiFilters.confidence_tier || aiFilters.date_from || aiFilters.date_to) && (
+                <button
+                  onClick={() => setAiFilters({ q: '', problem_domain: '', confidence_tier: '', date_from: '', date_to: '' })}
+                  className="text-xs text-muted-foreground hover:text-foreground transition-colors"
+                >
+                  Clear
+                </button>
+              )}
+            </div>
           </div>
-        )
+
+          {aiLoading ? (
+            <div className="flex justify-center py-12">
+              <Spinner />
+            </div>
+          ) : aiSessions.length === 0 ? (
+            (aiFilters.q || aiFilters.problem_domain || aiFilters.confidence_tier || aiFilters.date_from || aiFilters.date_to) ? (
+              <EmptyState
+                title="No sessions match your filters"
+                description="Try adjusting your search or filters."
+                action={
+                  <button
+                    onClick={() => setAiFilters({ q: '', problem_domain: '', confidence_tier: '', date_from: '', date_to: '' })}
+                    className="text-foreground hover:underline text-sm"
+                  >
+                    Clear all filters
+                  </button>
+                }
+              />
+            ) : (
+              <EmptyState
+                title="No AI sessions yet"
+                description="Start a FlowPilot session to get AI-guided troubleshooting. Sessions will appear here."
+                action={
+                  <Link
+                    to="/pilot"
+                    className="inline-flex items-center gap-2 rounded-[10px] bg-gradient-brand px-5 py-2.5 text-sm font-semibold text-[#101114] shadow-lg shadow-primary/20 hover:opacity-90 active:scale-[0.97] transition-all"
+                  >
+                    Start AI Session
+                  </Link>
+                }
+              />
+            )
+          ) : (
+            <div className="space-y-2">
+              {aiSessions.map((s) => (
+                <AISessionListItem key={s.id} session={s} />
+              ))}
+            </div>
+          )}
+        </>
       )}
 
       {/* Flow Sessions Content */}