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Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. Add a first-class Lab Create mode that can generate real images with the already configured OpenAI image model through tenant-photo-studio, keep generated images private/unpublished by default, and save them tenant-scoped when an active tenant exists; when no tenant is active, return an unsaved sandbox preview instead of inventing a target. Direct owner prompts such as `show me a visual redesign mockup of the console` or `create a lawncare mockup` must enter Lab Create and generate the visual rather than return ASCII/Figma/prose. Expose the already-deployed owner-video-studio as Video Beta inside Lab without making video readiness a prerequisite for Lab health or image creation. Preserve Observe/Interact/Act authorization boundaries, do not silently publish/apply generated media, preserve current durable receipts/history/stop controls, and update capability/profile contracts plus focused regression tests. Ship affected Supabase Edge Function and frontend through canonical Gate/merge/release and prove /admin/console live on desktop and mobile.","repository":"noel/KnockLaunchOS","ownerApproved":true,"releaseIntent":null,"sourceTargets":["src/pages/admin/GodModeCommandConsole.tsx","supabase/functions/tenant-photo-studio/index.ts","config/paul-owner-profile.json","config/capabilities/knocklaunch-console.json","src/__tests__/contracts/tenant-photo-studio.contract.test.ts","src/__tests__/contracts/console-live-witness-control-room.contract.test.ts"],"anchored_edits":[{"path":"supabase/functions/tenant-photo-studio/index.ts","edits":[{"new_content":"const SYSTEM_UPLOAD_SEGMENT = '.knocklaunch/';\nconst KNOCKLAUNCH_PUBLIC_R2_HOST = 'pub-dff1261603f24e1cb9f9c24801e4a94b.r2.dev';\nconst LAB_GENERATION_COLLECTION = 'lab-generated';\nconst MAX_LAB_GENERATED_IMAGE_BYTES = 25 * 1024 * 1024;","old_content":"const SYSTEM_UPLOAD_SEGMENT = '.knocklaunch/';\nconst KNOCKLAUNCH_PUBLIC_R2_HOST = 'pub-dff1261603f24e1cb9f9c24801e4a94b.r2.dev';"},{"new_content":"async function requireTenantUser(req: Request, tenantId: string) {\n  const authHeader = req.headers.get('Authorization') || '';\n  if (!authHeader.startsWith('Bearer ')) throw new Error('auth_required');\n  const { data: { user }, error } = await admin.auth.getUser(authHeader.slice(7));\n  if (error || !user) throw new Error('auth_invalid');\n  const [{ data: membership }, { data: role }] = await Promise.all([\n    admin.from('user_tenant_memberships').select('tenant_id').eq('user_id', user.id).eq('tenant_id', tenantId).eq('status', 'active').maybeSingle(),\n    admin.from('user_roles').select('tenant_id').eq('user_id', user.id).eq('tenant_id', tenantId).limit(1).maybeSingle(),\n  ]);\n  if (!membership && !role) throw new Error('tenant_access_denied');\n  return user;\n}\n\nasync function requireGodModeUser(req: Request) {\n  const authHeader = req.headers.get('Authorization') || '';\n  if (!authHeader.startsWith('Bearer ')) throw new Error('auth_required');\n  const { data: { user }, error } = await admin.auth.getUser(authHeader.slice(7));\n  if (error || !user) throw new Error('auth_invalid');\n  const { data: roles, error: roleError } = await admin.from('user_roles').select('role').eq('user_id', user.id).eq('role', 'GodMode').limit(1);\n  if (roleError || !roles?.length) throw new Error('godmode_required');\n  return user;\n}\n\nfunction decodeBase64Image(value: string) {\n  const binary = atob(value);\n  const bytes = new Uint8Array(binary.length);\n  for (let index = 0; index < binary.length; index += 1) bytes[index] = binary.charCodeAt(index);\n  return bytes;\n}\n\nfunction labImageSettings(body: any) {\n  const aspect = ['square', 'landscape', 'portrait'].includes(String(body?.aspectRatio || '')) ? String(body.aspectRatio) : 'landscape';\n  const quality = ['low', 'medium', 'high'].includes(String(body?.quality || '')) ? String(body.quality) : 'medium';\n  const size = aspect === 'portrait' ? '1024x1536' : aspect === 'square' ? '1024x1024' : '1536x1024';\n  return { aspect, quality, size };\n}","old_content":"async function requireTenantUser(req: Request, tenantId: string) {\n  const authHeader = req.headers.get('Authorization') || '';\n  if (!authHeader.startsWith('Bearer ')) throw new Error('auth_required');\n  const { data: { user }, error } = await admin.auth.getUser(authHeader.slice(7));\n  if (error || !user) throw new Error('auth_invalid');\n  const [{ data: membership }, { data: role }] = await Promise.all([\n    admin.from('user_tenant_memberships').select('tenant_id').eq('user_id', user.id).eq('tenant_id', tenantId).eq('status', 'active').maybeSingle(),\n    admin.from('user_roles').select('tenant_id').eq('user_id', user.id).eq('tenant_id', tenantId).limit(1).maybeSingle(),\n  ]);\n  if (!membership && !role) throw new Error('tenant_access_denied');\n  return user;\n}"},{"new_content":"async function generateLabImage(req: Request, body: any) {\n  if (!OPENAI_API_KEY) throw new Error('openai_image_generation_not_configured');\n  const user = await requireGodModeUser(req);\n  const prompt = String(body?.prompt || '').trim();\n  if (prompt.length < 3 || prompt.length > 32000) throw new Error('lab_image_prompt_must_be_3_to_32000_characters');\n  const { aspect, quality, size } = labImageSettings(body);\n  const response = await fetch('https://api.openai.com/v1/images/generations', {\n    method: 'POST',\n    headers: { Authorization: `Bearer ${OPENAI_API_KEY}`, 'Content-Type': 'application/json' },\n    body: JSON.stringify({ model: OPENAI_IMAGE_MODEL, prompt, size, quality, output_format: 'png', background: 'opaque', n: 1 }),\n  });\n  const payload = await response.json().catch(() => null) as any;\n  if (!response.ok) throw new Error(`openai_image_generation_failed:${response.status}:${String(payload?.error?.message || 'provider_error').slice(0, 240)}`);\n  const encoded = String(payload?.data?.[0]?.b64_json || '');\n  if (!encoded) throw new Error('openai_image_generation_output_missing');\n  const bytes = decodeBase64Image(encoded);\n  if (!bytes.byteLength || bytes.byteLength > MAX_LAB_GENERATED_IMAGE_BYTES) throw new Error('lab_generated_image_size_invalid');\n  const tenantId = String(body?.tenantId || '').trim();\n  if (!tenantId) return { saved: false, image: { dataUrl: `data:image/png;base64,${encoded}`, mimeType: 'image/png', model: OPENAI_IMAGE_MODEL, aspectRatio: aspect, quality } };\n  const tenant = await loadTenant({ tenantId });\n  const cfg = collectionConfig(tenant, cleanCollection(body?.collection) || LAB_GENERATION_COLLECTION);\n  const id = crypto.randomUUID();\n  const originalKey = `${cfg.prefix}${SYSTEM_UPLOAD_SEGMENT}generated/${id}.png`;\n  const now = new Date().toISOString();\n  await r2Put(cfg.bucket, originalKey, bytes, 'image/png');\n  const { data: row, error } = await admin.from('tenant_media_assets').insert({\n    id,\n    tenant_id: tenant.id,\n    collection_key: cfg.collection,\n    bucket_name: cfg.bucket,\n    original_key: originalKey,\n    original_content_type: 'image/png',\n    source_kind: 'generated',\n    status: 'ready',\n    review_status: 'unreviewed',\n    enhance_consent: false,\n    published: false,\n    is_primary: false,\n    created_by: user.id,\n    metadata: { generated_image: true, source: 'knocklaunch-lab', provider: 'openai', model: OPENAI_IMAGE_MODEL, prompt: prompt.slice(0, 4000), aspect_ratio: aspect, quality },\n    created_at: now,\n    updated_at: now,\n  }).select('*').single();\n  if (error) {\n    await r2Delete(cfg.bucket, originalKey).catch(() => undefined);\n    throw error;\n  }\n  await audit(user.id, tenant.id, 'knocklaunch_lab_image_generated', id, { collection: cfg.collection, published: false, model: OPENAI_IMAGE_MODEL, aspectRatio: aspect, quality });\n  return { saved: true, asset: await hydrateAsset(req, row) };\n}\n\nasync function handlePost(req: Request) {\n  const contentType = req.headers.get('content-type') || '';\n  if (contentType.includes('multipart/form-data')) return await handleUpload(req, await req.formData());\n  const body = await req.json().catch(() => null) as any;\n  if (!body || typeof body !== 'object') return json({ ok: false, error: 'invalid_json' }, 400);\n  const action = String(body.action || '').trim();\n  if (action === 'generate_lab_image') return json({ ok: true, ...(await generateLabImage(req, body)) });\n  const tenant = await loadTenant({ tenantId: String(body.tenantId || '') });\n  const user = await requireTenantUser(req, tenant.id);\n  const collection = cleanCollection(body.collection);\n  if (!collection) return json({ ok: false, error: 'collection_required' }, 400);","old_content":"async function handlePost(req: Request) {\n  const contentType = req.headers.get('content-type') || '';\n  if (contentType.includes('multipart/form-data')) return await handleUpload(req, await req.formData());\n  const body = await req.json().catch(() => null) as any;\n  if (!body || typeof body !== 'object') return json({ ok: false, error: 'invalid_json' }, 400);\n  const action = String(body.action || '').trim();\n  const tenant = await loadTenant({ tenantId: String(body.tenantId || '') });\n  const user = await requireTenantUser(req, tenant.id);\n  const collection = cleanCollection(body.collection);\n  if (!collection) return json({ ok: false, error: 'collection_required' }, 400);"},{"new_content":"    if (!['upload', 'generated'].includes(String(row.source_kind || '')) || !originalKey.startsWith(ownedPrefix)) return json({ ok: false, error: 'showcase_original_is_protected' }, 409);","old_content":"    if (row.source_kind !== 'upload' || !originalKey.startsWith(ownedPrefix)) return json({ ok: false, error: 'showcase_original_is_protected' }, 409);"},{"new_content":"      openAIImageConfigured: Boolean(OPENAI_API_KEY),\n      model: OPENAI_IMAGE_MODEL,\n      labImageGeneration: true,\n      labImageGenerationGodModeOnly: true,\n      labGeneratedMediaPublishedByDefault: false,\n      originalsImmutable: true,","old_content":"      openAIImageConfigured: Boolean(OPENAI_API_KEY),\n      model: OPENAI_IMAGE_MODEL,\n      originalsImmutable: true,"},{"new_content":"      : /tenant_access_denied|godmode_required/.test(message)\n        ? 403\n        : /lab_image_prompt_must|lab_generated_image_size_invalid/.test(message)\n          ? 400\n          : /not_found/.test(message)","old_content":"      : /tenant_access_denied/.test(message)\n        ? 403\n        : /not_found/.test(message)"}]},{"path":"src/pages/admin/GodModeCommandConsole.tsx","edits":[{"new_content":"type HistoryTab = 'live' | 'chats' | 'runs';\ntype WitnessInteractionMode = 'observe' | 'interact' | 'act';\ntype LabMode = 'explore' | 'test' | 'investigate' | 'create';\ntype LabCreateKind = 'image' | 'video';\ntype LabImageResult = { saved?: boolean; url?: string; dataUrl?: string; assetId?: string; model?: string; aspectRatio?: string; quality?: string };\ntype LabVideoTask = { taskId: string; status: string; outputUrl?: string; model?: string; duration?: number; aspectRatio?: string; audio?: boolean; error?: string; savedAssetId?: string };\n\nconst LAB_IMAGE_FN = `${import.meta.env.VITE_SUPABASE_URL}/functions/v1/tenant-photo-studio`;\nconst LAB_VIDEO_FN = `${import.meta.env.VITE_SUPABASE_URL}/functions/v1/owner-video-studio`;\n\nfunction isDirectLabImageRequest(value: string) {\n  const text = String(value || '').trim();\n  if (!text || /\\bshow\\s+me\\s+how\\b/i.test(text) || /\\b(?:ascii|wireframe|text[- ]only)\\b/i.test(text)) return false;\n  const visualNoun = /\\b(?:image|imagery|mockup|visual|hero|background|graphic|logo|artwork|concept|render|poster|flyer)\\b/i.test(text);\n  const creationVerb = /\\b(?:create|make|generate|design|render|visualize|show\\s+me|give\\s+me|build)\\b/i.test(text);\n  return visualNoun && creationVerb && !/\\bvideo\\b/i.test(text);\n}\n\nfunction isDirectLabVideoRequest(value: string) {\n  const text = String(value || '').trim();\n  return /\\b(?:create|make|generate|render|show\\s+me|give\\s+me)\\b/i.test(text) && /\\b(?:video|clip|motion\\s+shot)\\b/i.test(text);\n}\n\nfunction nowIso() { return new Date().toISOString(); }","old_content":"type HistoryTab = 'live' | 'chats' | 'runs';\ntype WitnessInteractionMode = 'observe' | 'interact' | 'act';\n\nfunction nowIso() { return new Date().toISOString(); }"},{"new_content":"  const [witnessMode, setWitnessMode] = useState(false);\n  const [witnessInteractionMode, setWitnessInteractionMode] = useState<WitnessInteractionMode>('observe');\n  const [labMode, setLabMode] = useState<LabMode>('explore');\n  const [labCreateKind, setLabCreateKind] = useState<LabCreateKind>('image');\n  const [labImagePrompt, setLabImagePrompt] = useState('');\n  const [labImageAspect, setLabImageAspect] = useState<'landscape' | 'square' | 'portrait'>('landscape');\n  const [labImageQuality, setLabImageQuality] = useState<'low' | 'medium' | 'high'>('medium');\n  const [labImageResult, setLabImageResult] = useState<LabImageResult | null>(null);\n  const [labImageBusy, setLabImageBusy] = useState(false);\n  const [labVideoPrompt, setLabVideoPrompt] = useState('');\n  const [labVideoTask, setLabVideoTask] = useState<LabVideoTask | null>(null);\n  const [labVideoBusy, setLabVideoBusy] = useState(false);\n  const [mobilePane, setMobilePane] = useState<'witness' | 'chat'>('witness');","old_content":"  const [witnessMode, setWitnessMode] = useState(false);\n  const [witnessInteractionMode, setWitnessInteractionMode] = useState<WitnessInteractionMode>('observe');\n  const [mobilePane, setMobilePane] = useState<'witness' | 'chat'>('witness');"},{"new_content":"  async function labFunction(endpoint: string, body: Record<string, unknown>) {\n    const accessToken = await consoleAccessToken();\n    const response = await fetch(endpoint, {\n      method: 'POST',\n      headers: { Authorization: `Bearer ${accessToken}`, 'Content-Type': 'application/json' },\n      body: JSON.stringify(body),\n      signal: AbortSignal.timeout(120000),\n    });\n    const data = await response.json().catch(() => null);\n    if (!response.ok || !data?.ok) throw new Error(data?.error || `Lab provider returned ${response.status}`);\n    return data;\n  }\n\n  async function generateLabImage(promptInput = labImagePrompt) {\n    const prompt = String(promptInput || '').trim();\n    if (!prompt) throw new Error('Describe the image you want Lab to create.');\n    setLabImageBusy(true);\n    try {\n      const result = await labFunction(LAB_IMAGE_FN, {\n        action: 'generate_lab_image',\n        prompt,\n        tenantId: String(activeTenant?.id || '') || undefined,\n        collection: 'lab-generated',\n        aspectRatio: labImageAspect,\n        quality: labImageQuality,\n      });\n      const asset = result?.asset || null;\n      const image = result?.image || null;\n      const next: LabImageResult = {\n        saved: Boolean(result?.saved),\n        assetId: asset?.id || undefined,\n        url: asset?.originalUrl || asset?.enhancedUrl || undefined,\n        dataUrl: image?.dataUrl || undefined,\n        model: image?.model || asset?.metadata?.model || undefined,\n        aspectRatio: image?.aspectRatio || asset?.metadata?.aspect_ratio || labImageAspect,\n        quality: image?.quality || asset?.metadata?.quality || labImageQuality,\n      };\n      setLabImageResult(next);\n      return next;\n    } finally {\n      setLabImageBusy(false);\n    }\n  }\n\n  async function startLabVideo(promptInput = labVideoPrompt) {\n    const promptText = String(promptInput || '').trim();\n    if (!promptText) throw new Error('Describe the video you want Lab to create.');\n    setLabVideoBusy(true);\n    try {\n      const result = await labFunction(LAB_VIDEO_FN, {\n        action: 'generate',\n        model: 'veo3.1_fast',\n        promptText,\n        duration: 4,\n        aspectRatio: labImageAspect === 'portrait' ? '9:16' : '16:9',\n        audio: false,\n      });\n      const next: LabVideoTask = { taskId: String(result.taskId || ''), status: String(result.status || 'PENDING'), model: String(result.model || 'veo3.1_fast'), duration: Number(result.duration || 4), aspectRatio: String(result.aspectRatio || '16:9'), audio: Boolean(result.audio) };\n      if (!next.taskId) throw new Error('Video provider did not return a task.');\n      setLabVideoTask(next);\n      return next;\n    } finally {\n      setLabVideoBusy(false);\n    }\n  }\n\n  async function refreshLabVideo() {\n    if (!labVideoTask?.taskId) return;\n    setLabVideoBusy(true);\n    try {\n      const result = await labFunction(LAB_VIDEO_FN, { action: 'status', taskId: labVideoTask.taskId });\n      setLabVideoTask((current) => current ? { ...current, status: String(result.status || current.status), outputUrl: String(result.outputUrl || '') || undefined, error: String(result.failure || '') || undefined } : current);\n    } finally {\n      setLabVideoBusy(false);\n    }\n  }\n\n  async function saveLabVideo() {\n    if (!labVideoTask?.taskId || !activeTenant?.id) throw new Error('Choose an active tenant before saving the video.');\n    setLabVideoBusy(true);\n    try {\n      const result = await labFunction(LAB_VIDEO_FN, { action: 'save', taskId: labVideoTask.taskId, tenantId: String(activeTenant.id), title: 'KNOCKLAUNCH Lab video', promptText: labVideoPrompt, model: labVideoTask.model, duration: labVideoTask.duration, aspectRatio: labVideoTask.aspectRatio, audio: labVideoTask.audio });\n      setLabVideoTask((current) => current ? { ...current, savedAssetId: String(result?.asset?.id || '') || current.savedAssetId } : current);\n    } finally {\n      setLabVideoBusy(false);\n    }\n  }\n\n  async function consoleFetch(path: string, init: RequestInit = {}) {\n    let lastResponse: Response | null = null;","old_content":"  async function consoleFetch(path: string, init: RequestInit = {}) {\n    let lastResponse: Response | null = null;"},{"new_content":"    setOperatorContext({ viewports: ['desktop'] });\n    setWitnessInteractionMode('observe');\n    setLabMode('explore');\n    setLabCreateKind('image');\n    setLabImagePrompt('');\n    setLabImageResult(null);\n    setLabVideoPrompt('');\n    setLabVideoTask(null);\n    setWitnessMode(false);","old_content":"    setOperatorContext({ viewports: ['desktop'] });\n    setWitnessInteractionMode('observe');\n    setWitnessMode(false);"},{"new_content":"    if (!text || sendInFlightRef.current || cancellingJobId) return;\n    if (isDirectLabImageRequest(text) || isDirectLabVideoRequest(text)) {\n      sendInFlightRef.current = true;\n      setSending(true);\n      setConsoleError(null);\n      setWitnessMode(true);\n      setLabMode('create');\n      setMobilePane('witness');\n      const userTimestamp = nowIso();\n      setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'user', content: text, createdAt: userTimestamp }]);\n      try {\n        if (isDirectLabVideoRequest(text)) {\n          setLabCreateKind('video');\n          setLabVideoPrompt(text);\n          setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'assistant', content: 'Lab Create · starting optional Video Beta generation.', createdAt: nowIso(), progress: true }]);\n          const task = await startLabVideo(text);\n          const assistantMessage = `Lab Create started Video Beta task ${task.taskId.slice(0, 8)}. Video is optional and renders asynchronously; use Refresh in Lab to check it. No tenant content was published or changed.`;\n          const assistantTimestamp = nowIso();\n          setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'assistant', content: assistantMessage, createdAt: assistantTimestamp }]);\n          await persistConsoleTurn({ userMessage: text, assistantMessage, contextTenantId: String(activeTenant?.id || '') || null, context: { consoleSurface: 'knocklaunch-lab', labMode: 'create', mediaKind: 'video', userTimestamp, assistantTimestamp }, witness: {} });\n        } else {\n          setLabCreateKind('image');\n          setLabImagePrompt(text);\n          setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'assistant', content: 'Lab Create · generating the visual now.', createdAt: nowIso(), progress: true }]);\n          const result = await generateLabImage(text);\n          const assistantMessage = result.saved ? 'Lab Create generated the visual and stored it as a private, unpublished tenant Lab artifact. Nothing was applied to the live experience.' : 'Lab Create generated the visual as an unsaved sandbox preview because no active tenant was selected. Nothing was applied or published.';\n          const assistantTimestamp = nowIso();\n          setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'assistant', content: assistantMessage, createdAt: assistantTimestamp }]);\n          await persistConsoleTurn({ userMessage: text, assistantMessage, contextTenantId: String(activeTenant?.id || '') || null, context: { consoleSurface: 'knocklaunch-lab', labMode: 'create', mediaKind: 'image', saved: Boolean(result.saved), assetId: result.assetId || null, userTimestamp, assistantTimestamp }, witness: {} });\n        }\n      } catch (error) {\n        const message = cleanConsoleError(error);\n        setConsoleError(message);\n        setMessages((prev) => [...prev, { id: crypto.randomUUID(), role: 'assistant', content: message, createdAt: nowIso(), error: true }]);\n      } finally {\n        sendInFlightRef.current = false;\n        setSending(false);\n      }\n      return;\n    }\n    sendInFlightRef.current = true;\n    const explicitRoute = extractInternalRoute(text);","old_content":"    if (!text || sendInFlightRef.current || cancellingJobId) return;\n    sendInFlightRef.current = true;\n    const explicitRoute = extractInternalRoute(text);"},{"new_content":"      {['Repo', 'Forgejo', 'Cloudflare', 'Supabase', 'Lab'].map((label) => <span key={label} className=\"shrink-0 rounded-full border border-blue-300/10 bg-[#0b1220]/80 px-2.5 py-1 text-[9px] font-semibold uppercase tracking-[0.1em] text-slate-300/70 shadow-[inset_0_1px_0_rgba(255,255,255,.025)]\">{label}</span>)}","old_content":"      {['Repo', 'Forgejo', 'Cloudflare', 'Supabase', 'Witness'].map((label) => <span key={label} className=\"shrink-0 rounded-full border border-blue-300/10 bg-[#0b1220]/80 px-2.5 py-1 text-[9px] font-semibold uppercase tracking-[0.1em] text-slate-300/70 shadow-[inset_0_1px_0_rgba(255,255,255,.025)]\">{label}</span>)}"},{"new_content":"  const labModeBar = (\n    <div className=\"flex min-w-0 gap-1 overflow-x-auto border-b border-white/[0.07] bg-[#050914]/96 p-2 [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">\n      {([\n        ['explore', 'Explore'],\n        ['test', 'Test'],\n        ['investigate', 'Investigate'],\n        ['create', 'Create'],\n      ] as const).map(([mode, label]) => <button key={mode} type=\"button\" aria-pressed={labMode === mode} onClick={() => { setLabMode(mode); if (mode === 'test') setWitnessInteractionMode('interact'); if (mode === 'investigate' || mode === 'explore') setWitnessInteractionMode('observe'); }} className={(labMode === mode ? 'border-cyan-300/40 bg-cyan-300/10 text-cyan-100' : 'border-white/10 bg-white/[0.02] text-slate-400 hover:text-white') + ' min-h-10 shrink-0 rounded-lg border px-3 text-[10px] font-semibold uppercase tracking-[0.1em] transition'}>{label}</button>)}\n      <span className=\"ml-auto hidden items-center text-[9px] font-semibold uppercase tracking-[0.12em] text-white/25 sm:flex\">Witness = evidence engine</span>\n    </div>\n  );\n\n  const labPresetBar = labMode === 'test' || labMode === 'investigate' ? (\n    <div className=\"flex gap-1 overflow-x-auto border-b border-white/[0.06] bg-black/30 p-2 [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">\n      {(labMode === 'test' ? [\n        ['Navigation', 'Test the current page navigation controls and route transitions. Click through the relevant controls safely and report exact receipts.'],\n        ['Forms', 'Test the current page form controls, validation, focus, select/input behavior, and safe non-saving interactions.'],\n        ['Responsive', 'Test this route on desktop and mobile for clipping, scroll traps, hidden controls, and responsive continuity.'],\n        ['Gestures', 'Test the relevant tap, hold, double-tap, drag, and reorder interactions that this route exposes without committing destructive changes.'],\n      ] : [\n        ['Console', 'Investigate the current route for browser console errors and identify the first causal signal.'],\n        ['Network', 'Investigate failed requests and response errors on the current route and identify the owning layer.'],\n        ['Loading', 'Investigate loaders, empty states, freezes, endless spinners, and route hydration on the current page.'],\n        ['Layout', 'Investigate clipping, scrolling, overlays, duplicate shells, navigation collisions, and viewport-specific layout failures.'],\n        ['Auth/route', 'Investigate route resolution, tenant projection, authorization handoff, and unintended route or tenant escape.'],\n      ]).map(([label, prompt]) => <button key={label} type=\"button\" disabled={sending} onClick={() => sendRef.current(`${prompt} ${operatorContext.route ? `Route: ${String(operatorContext.route)}.` : ''}`)} className=\"min-h-9 shrink-0 rounded-lg border border-white/10 bg-white/[0.025] px-3 text-[10px] font-semibold text-slate-300 hover:border-cyan-300/25 hover:text-white disabled:opacity-40\">{label}</button>)}\n    </div>\n  ) : null;\n\n  const labCreatePanel = (\n    <div className=\"h-full overflow-y-auto bg-[radial-gradient(circle_at_20%_0%,rgba(37,99,235,.16),transparent_32%),#02040a] p-3 sm:p-5\">\n      <div className=\"mx-auto max-w-5xl space-y-4\">\n        <div className=\"rounded-2xl border border-cyan-300/15 bg-[#07101d]/94 p-4 shadow-[0_20px_60px_rgba(0,0,0,.35)]\">\n          <div className=\"flex flex-wrap items-start justify-between gap-3\"><div><div className=\"text-[10px] font-semibold uppercase tracking-[0.2em] text-cyan-300/70\">KNOCKLAUNCH LAB · CREATE</div><h2 className=\"mt-1 text-xl font-semibold text-white\">Create inside the sandbox</h2><p className=\"mt-1 max-w-2xl text-xs leading-5 text-white/45\">Images are real generations. Tenant-backed results are private and unpublished until you deliberately use them. Video is Beta and never blocks the rest of Lab.</p></div><div className=\"flex gap-1\">{(['image','video'] as LabCreateKind[]).map((kind) => <button key={kind} type=\"button\" onClick={() => setLabCreateKind(kind)} className={(labCreateKind === kind ? 'border-cyan-300/40 bg-cyan-300/10 text-cyan-100' : 'border-white/10 text-white/45') + ' rounded-lg border px-3 py-2 text-[10px] font-semibold uppercase tracking-[0.1em]'}>{kind === 'image' ? 'Image' : 'Video Beta'}</button>)}</div></div>\n          {labCreateKind === 'image' ? <div className=\"mt-4 grid gap-4 lg:grid-cols-[minmax(0,1fr)_minmax(280px,.8fr)]\"><div><textarea value={labImagePrompt} onChange={(event) => setLabImagePrompt(event.target.value)} rows={6} placeholder=\"Describe the visual, mockup, hero, background, concept, or artwork…\" className=\"w-full resize-y rounded-xl border border-white/10 bg-black/30 p-3 text-sm leading-6 text-white outline-none placeholder:text-white/25 focus:border-cyan-300/30\"/><div className=\"mt-3 flex flex-wrap gap-2\"><span className=\"text-[10px] font-semibold uppercase tracking-[0.12em] text-white/30\">Frame</span>{(['landscape','square','portrait'] as const).map((value) => <button key={value} type=\"button\" onClick={() => setLabImageAspect(value)} className={(labImageAspect === value ? 'border-blue-300/35 bg-blue-300/10 text-blue-100' : 'border-white/10 text-white/40') + ' rounded-lg border px-2.5 py-1.5 text-[10px] font-semibold capitalize'}>{value}</button>)}<span className=\"ml-2 text-[10px] font-semibold uppercase tracking-[0.12em] text-white/30\">Quality</span>{(['low','medium','high'] as const).map((value) => <button key={value} type=\"button\" onClick={() => setLabImageQuality(value)} className={(labImageQuality === value ? 'border-blue-300/35 bg-blue-300/10 text-blue-100' : 'border-white/10 text-white/40') + ' rounded-lg border px-2.5 py-1.5 text-[10px] font-semibold capitalize'}>{value}</button>)}</div><button type=\"button\" disabled={labImageBusy || !labImagePrompt.trim()} onClick={() => void generateLabImage().catch((error) => setConsoleError(cleanConsoleError(error)))} className=\"mt-4 min-h-11 rounded-xl bg-[linear-gradient(135deg,#2563eb,#22d3ee)] px-5 text-xs font-bold text-white shadow-[0_10px_30px_rgba(37,99,235,.25)] disabled:opacity-35\">{labImageBusy ? 'Generating…' : 'Generate image'}</button><div className=\"mt-2 text-[10px] text-white/30\">{activeTenant?.id ? 'Private tenant Lab artifact · unpublished by default' : 'No active tenant · preview stays sandbox-only'}</div></div><div className=\"grid min-h-64 place-items-center overflow-hidden rounded-2xl border border-white/10 bg-black/35\">{labImageResult?.url || labImageResult?.dataUrl ? <img src={labImageResult.url || labImageResult.dataUrl} alt=\"Generated Lab visual\" className=\"max-h-[540px] w-full object-contain\"/> : <div className=\"px-5 text-center\"><div className=\"text-3xl\">✦</div><div className=\"mt-2 text-sm font-semibold text-white/65\">Generated visual appears here</div><div className=\"mt-1 text-xs text-white/30\">No ASCII substitute. No Figma detour.</div></div>}</div></div> : <div className=\"mt-4 grid gap-4 lg:grid-cols-[minmax(0,1fr)_minmax(280px,.8fr)]\"><div><textarea value={labVideoPrompt} onChange={(event) => setLabVideoPrompt(event.target.value)} rows={6} placeholder=\"Describe the shot, movement, subject, mood, and what the viewer should notice…\" className=\"w-full resize-y rounded-xl border border-white/10 bg-black/30 p-3 text-sm leading-6 text-white outline-none placeholder:text-white/25 focus:border-violet-300/30\"/><div className=\"mt-3 flex flex-wrap gap-2\"><button type=\"button\" disabled={labVideoBusy || !labVideoPrompt.trim()} onClick={() => void startLabVideo().catch((error) => setConsoleError(cleanConsoleError(error)))} className=\"min-h-11 rounded-xl border border-violet-300/25 bg-violet-300/10 px-5 text-xs font-bold text-violet-100 disabled:opacity-35\">{labVideoBusy ? 'Working…' : 'Generate 4s Video Beta'}</button>{labVideoTask?.taskId ? <button type=\"button\" disabled={labVideoBusy} onClick={() => void refreshLabVideo().catch((error) => setConsoleError(cleanConsoleError(error)))} className=\"min-h-11 rounded-xl border border-white/10 px-4 text-xs font-semibold text-white/60\">Refresh</button> : null}{labVideoTask?.outputUrl && activeTenant?.id && !labVideoTask.savedAssetId ? <button type=\"button\" disabled={labVideoBusy} onClick={() => void saveLabVideo().catch((error) => setConsoleError(cleanConsoleError(error)))} className=\"min-h-11 rounded-xl border border-emerald-300/25 bg-emerald-300/10 px-4 text-xs font-semibold text-emerald-100\">Approve & save privately</button> : null}</div><div className=\"mt-2 text-[10px] text-white/30\">Optional provider · Lab remains healthy if video is unavailable.</div></div><div className=\"grid min-h-64 place-items-center overflow-hidden rounded-2xl border border-white/10 bg-black/35\">{labVideoTask?.outputUrl ? <video src={labVideoTask.outputUrl} controls playsInline className=\"max-h-[540px] w-full object-contain\"/> : <div className=\"px-5 text-center\"><div className=\"text-3xl\">▶</div><div className=\"mt-2 text-sm font-semibold text-white/65\">{labVideoTask ? `Video ${labVideoTask.status}` : 'Video Beta'}</div><div className=\"mt-1 break-all text-[10px] text-white/25\">{labVideoTask?.taskId || 'Optional — not required for Lab'}</div>{labVideoTask?.error ? <div className=\"mt-2 text-xs text-rose-200/70\">{labVideoTask.error}</div> : null}</div>}</div></div>}\n        </div>\n      </div>\n    </div>\n  );\n\n  const resolverLabel = resolverTrace.status === 'idle' ? 'IDLE' : resolverTrace.status === 'resolving' ? 'RESOLVING' : resolverTrace.status === 'resolved' ? 'RESOLVED' : resolverTrace.status === 'ambiguous' ? 'AMBIGUOUS' : 'ERROR';","old_content":"  const resolverLabel = resolverTrace.status === 'idle' ? 'IDLE' : resolverTrace.status === 'resolving' ? 'RESOLVING' : resolverTrace.status === 'resolved' ? 'RESOLVED' : resolverTrace.status === 'ambiguous' ? 'AMBIGUOUS' : 'ERROR';"},{"new_content":"            <p className=\"mt-3 text-sm leading-6 text-white/48\">Chat with the platform normally. KNOCKLAUNCH Lab opens when you want to explore, interact, test, investigate, capture evidence, or create visual media.</p>","old_content":"            <p className=\"mt-3 text-sm leading-6 text-white/48\">Chat with the platform normally. The interactive witness stays closed until you ask to see, inspect, capture, compare, or visually verify something.</p>"},{"new_content":"          <div className=\"hidden shrink-0 rounded-full border border-white/[0.08] bg-white/[0.025] px-2.5 py-1 text-[9px] font-semibold uppercase tracking-[0.1em] text-slate-500 sm:block\">Lab closed</div>","old_content":"          <div className=\"hidden shrink-0 rounded-full border border-white/[0.08] bg-white/[0.025] px-2.5 py-1 text-[9px] font-semibold uppercase tracking-[0.1em] text-slate-500 sm:block\">Witness closed</div>"},{"new_content":"            <button type=\"button\" onClick={() => setMobilePane('witness')} className={mobilePane === 'witness' ? \"min-h-11 rounded-lg border border-blue-300/30 bg-blue-300/10 px-3 text-xs font-semibold text-blue-100\" : \"min-h-11 rounded-lg border border-white/10 bg-white/[0.02] px-3 text-xs text-slate-400\"}>Lab</button>","old_content":"            <button type=\"button\" onClick={() => setMobilePane('witness')} className={mobilePane === 'witness' ? \"min-h-11 rounded-lg border border-blue-300/30 bg-blue-300/10 px-3 text-xs font-semibold text-blue-100\" : \"min-h-11 rounded-lg border border-white/10 bg-white/[0.02] px-3 text-xs text-slate-400\"}>Witness</button>"},{"new_content":"          <div className={(mobilePane === 'witness' ? 'flex' : 'hidden') + \" min-h-0 flex-col bg-[#010207] lg:flex\"}>\n            {labModeBar}\n            {labPresetBar}\n            <div className=\"min-h-0 flex-1\">{labMode === 'create' ? labCreatePanel : <iframe ref={frame} onLoad={() => postWitnessSync()} src=\"/console/index-v3-11.html?v=sidekick-v3-observation-pinned-2\" title=\"KNOCKLAUNCH Lab browser and evidence canvas\" className=\"h-full w-full border-0\" />}</div>\n          </div>","old_content":"          <div className={(mobilePane === 'witness' ? 'block' : 'hidden') + \" min-h-0 bg-[#010207] lg:block\"}>\n            <iframe ref={frame} onLoad={() => postWitnessSync()} src=\"/console/index-v3-11.html?v=sidekick-v3-observation-pinned-2\" title=\"KNOCKLAUNCH Interactive Witness\" className=\"h-full w-full border-0\" />\n          </div>"},{"new_content":"                <div className=\"min-w-0\"><div className=\"text-[10px] font-semibold uppercase tracking-[0.18em] text-cyan-300/72\">SIDEKICK · KNOCKLAUNCH LAB</div><div className=\"mt-1 truncate text-xs text-white/60\">{labMode === 'create' ? 'Create sandbox' : String(operatorContext.route || 'Interactive Lab')}</div></div>","old_content":"                <div className=\"min-w-0\"><div className=\"text-[10px] font-semibold uppercase tracking-[0.18em] text-cyan-300/72\">SIDEKICK · WITNESS MODE</div><div className=\"mt-1 truncate text-xs text-white/60\">{String(operatorContext.route || 'Interactive witness')}</div></div>"},{"new_content":"              <div className=\"mt-2 flex items-center gap-2 text-[10px] text-slate-500\"><span>{lastReceipt ? 'Evidence attached' : 'Lab ready'}</span><span>•</span><span>{labMode}</span><span>•</span><span>{String((operatorContext.viewports || ['desktop'])[0])}</span></div>","old_content":"              <div className=\"mt-2 flex items-center gap-2 text-[10px] text-slate-500\"><span>{lastReceipt ? 'Proof attached' : 'Control plane ready'}</span><span>•</span><span>{String((operatorContext.viewports || ['desktop'])[0])}</span></div>"}]},{"path":"config/paul-owner-profile.json","edits":[{"new_content":"      \"Use KNOCKLAUNCH Lab as the owner-facing sandbox for visual, interaction, testing, investigation, evidence, and media-creation work. The existing Visual Witness/inspect_route engine remains Lab's evidence-capture primitive; it is not the whole product.\",","old_content":"      \"Use Visual Witness when the request is visual, interaction-dependent, or Noel explicitly asks what is visible.\","},{"new_content":"      \"Visual improvement requests are actionable work: use Lab to inspect the real route, interact or test when useful, diagnose, change, Gate, release, and prove. Direct visual-artifact requests enter Lab Create and generate a real visual instead of ASCII, Figma planning, or prose-only substitution.\",","old_content":"      \"Visual improvement requests are actionable work: inspect the real route, diagnose, change, Gate, release, and prove.\","}]},{"path":"config/capabilities/knocklaunch-console.json","edits":[{"new_content":"      \"supabase/functions/wmp-mission-control\",\n      \"supabase/functions/tenant-photo-studio\",\n      \"supabase/functions/owner-video-studio\",\n      \"workers/cc-execution\"","old_content":"      \"supabase/functions/wmp-mission-control\",\n      \"workers/cc-execution\""},{"new_content":"      {\n        \"id\": \"msi\",\n        \"optional\": true,\n        \"unavailableState\": \"prerequisite_required\"\n      },\n      {\n        \"id\": \"openai_image\",\n        \"optional\": true,\n        \"unavailableState\": \"prerequisite_required\",\n        \"affects\": [\"lab-image-create\"]\n      },\n      {\n        \"id\": \"owner_video_provider\",\n        \"optional\": true,\n        \"unavailableState\": \"prerequisite_required\",\n        \"affects\": [\"lab-video-beta\"]\n      }","old_content":"      {\n        \"id\": \"msi\",\n        \"optional\": true,\n        \"unavailableState\": \"prerequisite_required\"\n      }"},{"new_content":"    {\n      \"id\": \"knocklaunch-lab\",\n      \"userFacingName\": \"KNOCKLAUNCH Lab\",\n      \"purpose\": \"Owner sandbox for live observation, safe interaction, targeted testing, investigation, evidence capture, and visual media creation.\",\n      \"modes\": [\"explore\", \"test\", \"investigate\", \"create\"],\n      \"permissionModes\": [\"observe\", \"interact\", \"act\"],\n      \"internalEvidenceEngine\": \"inspect_route/Visual Witness\",\n      \"imageCreation\": { \"requiredForCoreLab\": false, \"provider\": \"tenant-photo-studio:gpt-image-2\", \"defaultPublication\": \"private_unpublished\", \"godModeOnly\": true },\n      \"videoCreation\": { \"status\": \"beta_optional\", \"provider\": \"owner-video-studio\", \"requiredForCoreLab\": false },\n      \"mustRemainAvailableWhen\": [\"owner_video_provider:unavailable\", \"openai_image:unavailable\"]\n    },\n    {\n      \"id\": \"native-ai-operator-loop\",","old_content":"    {\n      \"id\": \"native-ai-operator-loop\","}]},{"path":"src/__tests__/contracts/tenant-photo-studio.contract.test.ts","edits":[{"new_content":"  it('exposes GodMode-only KNOCKLAUNCH Lab text-to-image generation without auto-publishing generated artifacts', () => {\n    expect(edge).toContain(\"if (action === 'generate_lab_image')\");\n    expect(edge).toContain(\"fetch('https://api.openai.com/v1/images/generations'\");\n    expect(edge).toContain(\"source_kind: 'generated'\");\n    expect(edge).toContain(\"published: false\");\n    expect(edge).toContain(\"requireGodModeUser(req)\");\n    expect(edge).toContain(\"LAB_GENERATION_COLLECTION = 'lab-generated'\");\n  });\n\n  it('requires authenticated tenant membership for mutations and approval before new media becomes public', () => {\n    expect(edge).toContain('requireTenantUser(req, tenant.id)');","old_content":"  it('requires authenticated tenant membership for mutations and approval before new media becomes public', () => {\n    expect(edge).toContain('requireTenantUser(req, tenant.id)');"}]},{"path":"src/__tests__/contracts/console-live-witness-control-room.contract.test.ts","edits":[{"new_content":"describe('Console KNOCKLAUNCH Lab and witness evidence contract', () => {\n  it('promotes Witness into Lab while preserving Witness as the internal evidence engine', () => {\n    const shell = read('src/pages/admin/GodModeCommandConsole.tsx');\n    expect(shell).toContain(\"type LabMode = 'explore' | 'test' | 'investigate' | 'create'\");\n    expect(shell).toContain('KNOCKLAUNCH LAB · CREATE');\n    expect(shell).toContain('Witness = evidence engine');\n    expect(shell).toContain(\"['explore', 'Explore']\");\n    expect(shell).toContain(\"['test', 'Test']\");\n    expect(shell).toContain(\"['investigate', 'Investigate']\");\n    expect(shell).toContain(\"['create', 'Create']\");\n    expect(shell).toContain(\"action: 'generate_lab_image'\");\n    expect(shell).toContain('No ASCII substitute. No Figma detour.');\n  });","old_content":"describe('Console live witness control room contract', () => {"}]}],"implementation":{"files":[],"writes":[]},"requestContract":{"intent":{"evidence":["Owner explicitly requested Witness become a full sandbox/investigatory tool with controls, image generation, and optional video."],"confidence":1,"rawUtterance":"Promote the owner-facing Visual Witness experience in /admin/console into KNOCKLAUNCH Lab: one sandbox and investigatory surface that can observe live routes, interact with controls, run targeted UI test presets, investigate console/network/loading/layout/auth-route failures, capture evidence through the existing Witness engine, and create visual media. Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. Add a first-class Lab Create mode that can generate real images with the already configured OpenAI image model through tenant-photo-studio, keep generated images private/unpublished by default, and save them tenant-scoped when an active tenant exists; when no tenant is active, return an unsaved sandbox preview instead of inventing a target. Direct owner prompts such as `show me a visual redesign mockup of the console` or `create a lawncare mockup` must enter Lab Create and generate the visual rather than return ASCII/Figma/prose. Expose the already-deployed owner-video-studio as Video Beta inside Lab without making video readiness a prerequisite for Lab health or image creation. Preserve Observe/Interact/Act authorization boundaries, do not silently publish/apply generated media, preserve current durable receipts/history/stop controls, and update capability/profile contracts plus focused regression tests. Ship affected Supabase Edge Function and frontend through canonical Gate/merge/release and prove /admin/console live on desktop and mobile.","wordingChanged":false,"canonicalIntent":"Promote the owner-facing Visual Witness experience in /admin/console into KNOCKLAUNCH Lab: one sandbox and investigatory surface that can observe live routes, interact with controls, run targeted UI test presets, investigate console/network/loading/layout/auth-route failures, capture evidence through the existing Witness engine, and create visual media. Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. Add a first-class Lab Create mode that can generate real images with the already configured OpenAI image model through tenant-photo-studio, keep generated images private/unpublished by default, and save them tenant-scoped when an active tenant exists; when no tenant is active, return an unsaved sandbox preview instead of inventing a target. Direct owner prompts such as `show me a visual redesign mockup of the console` or `create a lawncare mockup` must enter Lab Create and generate the visual rather than return ASCII/Figma/prose. Expose the already-deployed owner-video-studio as Video Beta inside Lab without making video readiness a prerequisite for Lab health or image creation. Preserve Observe/Interact/Act authorization boundaries, do not silently publish/apply generated media, preserve current durable receipts/history/stop controls, and update capability/profile contracts plus focused regression tests. Ship affected Supabase Edge Function and frontend through canonical Gate/merge/release and prove /admin/console live on desktop and mobile.","resolutionStatus":"exact","uniqueResolution":true,"clarificationRequired":false},"source":"explicit","version":1,"outcomes":[{"id":"lab-surface","statement":"The owner-facing /admin/console visual surface is KNOCKLAUNCH Lab with Explore, Test, Investigate, and Create modes while the legacy Witness engine remains the internal proof/evidence primitive.","provenance":{"reason":null,"source":"current_request_explicit","inherited":false,"blockingAuthority":true},"proofConditionIds":["proof-console"]},{"id":"lab-image","statement":"Lab can generate a real image from a direct owner visual request using the existing OpenAI image provider path, with private/unpublished tenant storage when a tenant exists and unsaved sandbox preview when it does not.","provenance":{"reason":null,"source":"current_request_explicit","inherited":false,"blockingAuthority":true},"proofConditionIds":["proof-console","proof-image-runtime"]},{"id":"lab-video","statement":"Lab exposes existing owner video generation as optional Beta and provider unavailability cannot make the core Lab unavailable.","provenance":{"reason":null,"source":"current_request_explicit","inherited":false,"blockingAuthority":true},"proofConditionIds":["proof-console"]}],"objective":"Promote the owner-facing Visual Witness experience in /admin/console into KNOCKLAUNCH Lab: one sandbox and investigatory surface that can observe live routes, interact with controls, run targeted UI test presets, investigate console/network/loading/layout/auth-route failures, capture evidence through the existing Witness engine, and create visual media. Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. Add a first-class Lab Create mode that can generate real images with the already configured OpenAI image model through tenant-photo-studio, keep generated images private/unpublished by default, and save them tenant-scoped when an active tenant exists; when no tenant is active, return an unsaved sandbox preview instead of inventing a target. Direct owner prompts such as `show me a visual redesign mockup of the console` or `create a lawncare mockup` must enter Lab Create and generate the visual rather than return ASCII/Figma/prose. Expose the already-deployed owner-video-studio as Video Beta inside Lab without making video readiness a prerequisite for Lab health or image creation. Preserve Observe/Interact/Act authorization boundaries, do not silently publish/apply generated media, preserve current durable receipts/history/stop controls, and update capability/profile contracts plus focused regression tests. Ship affected Supabase Edge Function and frontend through canonical Gate/merge/release and prove /admin/console live on desktop and mobile.","constraints":[{"id":"preserve-witness-compatibility","statement":"Do not rename or remove the proven inspect_route/Witness internal APIs or invalidate their durable evidence receipts; user-facing Lab composes them.","provenance":{"reason":null,"source":"current_request_explicit","inherited":false,"blockingAuthority":true},"proofConditionIds":["proof-console"]},{"id":"media-private-default","statement":"Generated Lab media is never silently published or applied to a tenant experience.","provenance":{"reason":null,"source":"current_request_explicit","inherited":false,"blockingAuthority":true},"proofConditionIds":["proof-image-runtime"]}],"terminalPolicy":"all_required_proof_conditions_satisfied_after_live_release","proofConditions":[{"id":"proof-console","kind":"interaction","claim":"Live /admin/console exposes KNOCKLAUNCH Lab modes and preserves Observe/Interact/Act plus working browser evidence behavior on representative desktop and mobile viewports.","route":"/admin/console","roleRef":"GodMode","userRef":null,"required":true,"expectedText":"KNOCKLAUNCH LAB","targetedActions":[{"name":"Create","type":"click","required":true},{"name":"Test","type":"click","required":true},{"name":"Investigate","type":"click","required":true}],"allowedReleaseTargets":["frontend"],"requiredReleaseTargets":["frontend"],"requireCapacityAdmissible":false,"expectedWatchdogPolicyVersion":null,"minConsecutiveHealthyHeartbeats":1,"requirePositiveMemoryAttribution":false,"requireMemoryAdmissionPressureFalse":false},{"id":"proof-image-runtime","kind":"runtime","claim":"The deployed tenant-photo-studio exposes GodMode-only Lab image generation backed by the configured OpenAI image model and stores generated tenant assets as unpublished/private by default.","route":null,"roleRef":null,"userRef":null,"required":true,"expectedText":null,"targetedActions":[],"allowedReleaseTargets":["supabase/functions/tenant-photo-studio"],"requiredReleaseTargets":["supabase/functions/tenant-photo-studio"],"requireCapacityAdmissible":false,"expectedWatchdogPolicyVersion":null,"minConsecutiveHealthyHeartbeats":1,"requirePositiveMemoryAttribution":false,"requireMemoryAdmissionPressureFalse":false}]},"repairGeneration":null,"executionEnvelope":{"ship":true,"version":1,"approved":true,"missionId":null,"ownerApproved":true,"releaseIntent":null,"sourceTargets":["src/pages/admin/GodModeCommandConsole.tsx","supabase/functions/tenant-photo-studio/index.ts","config/paul-owner-profile.json","config/capabilities/knocklaunch-console.json","src/__tests__/contracts/tenant-photo-studio.contract.test.ts","src/__tests__/contracts/console-live-witness-control-room.contract.test.ts"],"requestContract":{"intent":{"evidence":["Owner explicitly requested Witness become a full sandbox/investigatory tool with controls, image generation, and optional video."],"confidence":1,"rawUtterance":"Promote the owner-facing Visual Witness experience in /admin/console into KNOCKLAUNCH Lab: one sandbox and investigatory surface that can observe live routes, interact with controls, run targeted UI test presets, investigate console/network/loading/layout/auth-route failures, capture evidence through the existing Witness engine, and create visual media. Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. Add a first-class Lab Create mode that can generate real images with the already configured OpenAI image model through tenant-photo-studio, keep generated images private/unpublished by default, and save them tenant-scoped when an active tenant exists; when no tenant is active, return an unsaved sandbox preview instead of inventing a target. Direct owner prompts such as `show me a visual redesign mockup of the console` or `create a lawncare mockup` must enter Lab Create and generate the visual rather than return ASCII/Figma/prose. Expose the already-deployed owner-video-studio as Video Beta inside Lab without making video readiness a prerequisite for Lab health or image creation. Preserve Observe/Interact/Act authorization boundaries, do not silently publish/apply generated media, preserve current durable receipts/history/stop controls, and update capability/profile contracts plus focused regression tests. Ship affected Supabase Edge Function and frontend through canonical Gate/merge/release and prove /admin/console live on desktop and mobile.","wordingChanged":false,"canonicalIntent":"Promote the owner-facing Visual Witness experience in /admin/console into KNOCKLAUNCH Lab: one sandbox and investigatory surface that can observe live routes, interact with controls, run targeted UI test presets, investigate console/network/loading/layout/auth-route failures, capture evidence through the existing Witness engine, and create visual media. Keep the proven inspect_route/Witness runtime and receipts as the internal evidence engine for compatibility, but make Witness only one Lab capability rather than the product name. 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assert from 'node:assert/strict';\nimport { readFileSync } from 'node:fs';\nimport { inferOperator } from '../src/console-operator.js';\n\nconst frontend = readFileSync(new URL('../../../src/pages/admin/GodModeCommandConsole.tsx', import.meta.url), 'utf8');\n\ntest('capability questions remain conversation/chat instead of starting repair work', () => {\n  for (const message of [\n    'im asking if you can replace it on a daily basis to continue building the platform',\n    'what CANT you do ?',\n    'can you replace ChatGPT on a daily basis?',\n    'can i get rid of my ChatGPT subscription?',\n  ]) {\n    assert.equal(inferOperator(message).kind, 'chat', message);\n  }\n});\n\ntest('explicit action requests keep execution routing', () => {\n  assert.equal(inferOperator('fix the console routing bug').kind, 'mission');\n  assert.equal(inferOperator('deploy the console fix').kind, 'mission');\n});\n\ntest('frontend applies capability guard before repository repair classification', () => {\n  assert.match(frontend, /function isCapabilityStrategyQuestion/);\n  assert.match(frontend, /if \\(!wantsWitness && isCapabilityStrategyQuestion\\(text\\)\\) return 'conversation'/);\n});\n"}],"route":"/admin/console","branch":"ai/objective-first-repair-965297115a96","writes":[],"patches":[],"version":1,"approved":true,"missionId":"96529711-5a96-436d-bf49-43be379e3509","objective":"Owner-authorized scoped control-plane repair: capability/strategy questions in KNOCKLAUNCH Console must remain conversational end-to-end. The exact questions 'im asking if you can replace it on a daily basis to continue building the platform' and 'what CANT you do?' must not start repository repair, Witness, or mutation jobs. Preserve explicit action routing.","repository":"noel/KnockLaunchOS","ownerApproved":true,"releaseIntent":null,"sourceTargets":["src/pages/admin/GodModeCommandConsole.tsx","workers/cc-execution/src/console-operator.js","workers/cc-execution/test/console-capability-question-routing.test.js"],"anchored_edits":[{"path":"src/pages/admin/GodModeCommandConsole.tsx","after":"function isCapabilityStrategyQuestion(value: string) {\n  const text = String(value || '').trim().toLowerCase();\n  if (!text) return false;\n  if (/\\bwhat\\s+(?:can|can't|cant|cannot)\\s+you\\s+do\\b|\\bwhat\\s+are\\s+your\\s+(?:capabilities|limits|limitations)\\b/.test(text)) return true;\n  if (/\\b(?:can|could|would)\\s+(?:i|we)\\s+(?:use|rely\\s+on|depend\\s+on)\\s+you\\b|\\bare\\s+you\\s+(?:able|capable)\\b/.test(text)) return true;\n  if (/\\bcan\\s+you\\s+replace\\s+(?:chatgpt|openai)\\b|\\bcan\\s+you\\s+replace\\s+it\\s+on\\s+(?:a\\s+)?(?:daily|day-to-day)\\s+basis\\b/.test(text)) return true;\n  if (/\\bcan\\s+(?:i|we)\\s+(?:get\\s+rid\\s+of|cancel|stop\\s+paying\\s+for)\\s+(?:my\\s+)?(?:chatgpt|openai)(?:\\s+subscription)?\\b/.test(text)) return true;\n  return false;\n}\n\nfunction isLastRunFollowup(value: string) {","before":"function isLastRunFollowup(value: string) {"},{"path":"src/pages/admin/GodModeCommandConsole.tsx","after":"  if (!wantsWitness && isCapabilityStrategyQuestion(text)) return 'conversation';\n  if (wantsWitness) return 'route_inspection';","before":"  if (wantsWitness) return 'route_inspection';"},{"path":"workers/cc-execution/src/console-operator.js","after":"function isCapabilityStrategyQuestion(value = '') {\n  const message = text(value).toLowerCase();\n  if (!message) return false;\n  if (/\\bwhat\\s+(?:can|can't|cant|cannot)\\s+you\\s+do\\b|\\bwhat\\s+are\\s+your\\s+(?:capabilities|limits|limitations)\\b/.test(message)) return true;\n  if (/\\b(?:can|could|would)\\s+(?:i|we)\\s+(?:use|rely\\s+on|depend\\s+on)\\s+you\\b|\\bare\\s+you\\s+(?:able|capable)\\b/.test(message)) return true;\n  if (/\\bcan\\s+you\\s+replace\\s+(?:chatgpt|openai)\\b|\\bcan\\s+you\\s+replace\\s+it\\s+on\\s+(?:a\\s+)?(?:daily|day-to-day)\\s+basis\\b/.test(message)) return true;\n  if (/\\bcan\\s+(?:i|we)\\s+(?:get\\s+rid\\s+of|cancel|stop\\s+paying\\s+for)\\s+(?:my\\s+)?(?:chatgpt|openai)(?:\\s+subscription)?\\b/.test(message)) return true;\n  return false;\n}\n\nexport function inferOperator(message, rawContext = {}) {","before":"export function inferOperator(message, rawContext = {}) {"},{"path":"workers/cc-execution/src/console-operator.js","after":"  if (!raw) return { kind: 'help', context, message: 'Tell me what to inspect, or paste a KNOCKLAUNCH route.' };\n  if (isCapabilityStrategyQuestion(raw)) return { kind: 'chat', context };","before":"  if (!raw) return { kind: 'help', context, message: 'Tell me what to inspect, or paste a KNOCKLAUNCH route.' };"}],"implementation":{"files":[],"writes":[]},"requestContract":{"valid":true,"intent":{"evidence":["live reproduced false-positive; exact frontend and cc-execution owners identified"],"confidence":1,"rawUtterance":"Owner-authorized scoped control-plane repair: capability/strategy questions in KNOCKLAUNCH Console must remain conversational end-to-end. 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PAUL durable provider-independent Knowledge Brain.\n-- Canonical corpus is durable relational data; retrieval indexes are rebuildable projections.\n\ncreate table if not exists public.paul_knowledge_documents (\n  id uuid primary key default gen_random_uuid(),\n  owner_id uuid not null references auth.users(id) on delete cascade,\n  scope text not null check (scope in ('global','platform','tenant','project')),\n  tenant_ref text,\n  project_ref text,\n  title text not null,\n  source_type text not null check (source_type in ('text','markdown','structured_text','owner_correction','verified_mission_experience','historical')),\n  source_ref text,\n  provenance jsonb not null default '{}'::jsonb,\n  authority text not null default 'historical' check (authority in ('owner_canonical','owner_correction','verified_experience','historical')),\n  content text not null,\n  content_hash text not null,\n  version integer not null default 1 check (version > 0),\n  status text not null default 'active' check (status in ('active','superseded','deactivated')),\n  supersedes_id uuid references public.paul_knowledge_documents(id) on delete set null,\n  metadata jsonb not null default '{}'::jsonb,\n  created_at timestamptz not null default now(),\n  updated_at timestamptz not null default now(),\n  deactivated_at timestamptz,\n  constraint paul_knowledge_scope_refs check (\n    (scope in ('global','platform') and tenant_ref is null and project_ref is null)\n    or (scope = 'tenant' and nullif(btrim(tenant_ref),'') is not null and project_ref is null)\n    or (scope = 'project' and nullif(btrim(project_ref),'') is not null)\n  )\n);\n\nalter table public.paul_knowledge_documents enable row level security;\n\ndrop policy if exists \"System admins manage PAUL knowledge\" on public.paul_knowledge_documents;\ncreate policy \"System admins manage PAUL knowledge\"\non public.paul_knowledge_documents\nfor all\nto authenticated\nusing (is_system_admin(auth.uid()))\nwith check (is_system_admin(auth.uid()));\n\ncreate index if not exists paul_knowledge_active_scope_idx\n  on public.paul_knowledge_documents(status, scope, tenant_ref, project_ref, authority, updated_at desc);\n\ncreate index if not exists paul_knowledge_source_version_idx\n  on public.paul_knowledge_documents(owner_id, source_ref, version desc)\n  where source_ref is not null;\n\ncreate index if not exists paul_knowledge_hash_idx\n  on public.paul_knowledge_documents(owner_id, content_hash, scope, coalesce(tenant_ref,''), coalesce(project_ref,''));\n\ncomment on table public.paul_knowledge_documents is\n  'Canonical owner-controlled PAUL knowledge corpus. Embeddings/search caches are optional rebuildable projections; this table remains authoritative.';\n"},{"path":"supabase/functions/operator-respond/paul-knowledge.ts","content":"type KnowledgeScope = 'global' | 'platform' | 'tenant' | 'project';\ntype KnowledgeAuthority = 'owner_canonical' | 'owner_correction' | 'verified_experience' | 'historical';\n\nconst AUTHORITY_WEIGHT: Record<KnowledgeAuthority, number> = {\n  owner_canonical: 400,\n  owner_correction: 300,\n  verified_experience: 200,\n  historical: 100,\n};\n\nconst STOP = new Set(['about','after','again','also','and','are','been','before','build','can','could','does','from','have','into','just','more','need','only','our','please','should','that','the','their','then','there','these','they','this','those','through','use','want','what','when','where','which','with','would','you','your']);\n\nfunction clean(value: unknown, max = 120000) {\n  return String(value ?? '').replace(/\\u0000/g, '').replace(/\\r\\n/g, '\\n').trim().slice(0, max);\n}\n\nfunction secretLike(value: string) {\n  return /\\bBearer\\s+[A-Za-z0-9._~+\\/-]{12,}|\\b(?:password|passwd|pwd|token|api[_ -]?key|secret|cookie|authorization|access[_ -]?token|refresh[_ -]?token)\\s*[:=]\\s*[\"']?[^\\s,;\"'}]{8,}|\\b(?:sk|sbp|ghp|github_pat|xox[baprs])[-_A-Za-z0-9.]{12,}|\\beyJ[A-Za-z0-9_-]{10,}\\.[A-Za-z0-9_-]{10,}\\.[A-Za-z0-9_-]{10,}\\b/i.test(value);\n}\n\nfunction transientNoise(value: string) {\n  return /\\b(?:stack trace|traceback|temporary transport|sentinel freshness|retryable_provider_transport|ephemeral debug|one-off debug token)\\b/i.test(value);\n}\n\nasync function sha256(value: string) {\n  const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));\n  return [...new Uint8Array(digest)].map((byte) => byte.toString(16).padStart(2, '0')).join('');\n}\n\nfunction terms(value: string) {\n  return [...new Set(value.toLowerCase().replace(/https?:\\/\\/\\S+/g, ' ').replace(/[^a-z0-9/_-]+/g, ' ').split(/\\s+/).map((x) => x.trim()).filter((x) => x.length >= 3 && !STOP.has(x)))].slice(0, 24);\n}\n\nfunction scopeAllows(row: any, tenantRef: string, projectRef: string) {\n  const scope = String(row.scope || '');\n  if (scope === 'global' || scope === 'platform') return true;\n  if (scope === 'tenant') return Boolean(tenantRef) && String(row.tenant_ref || '') === tenantRef;\n  if (scope === 'project') return Boolean(projectRef) && String(row.project_ref || '') === projectRef && (!row.tenant_ref || !tenantRef || String(row.tenant_ref) === tenantRef);\n  return false;\n}\n\nfunction scopeWeight(scope: string) {\n  if (scope === 'project') return 40;\n  if (scope === 'tenant') return 30;\n  if (scope === 'platform') return 20;\n  return 10;\n}\n\nfunction rowScore(row: any, query: string, queryTerms: string[]) {\n  const haystack = [row.title, row.content, row.source_ref, JSON.stringify(row.metadata || {})].join(' ').toLowerCase();\n  const q = query.trim().toLowerCase();\n  const exact = q.length >= 4 && haystack.includes(q) ? 180 : 0;\n  const title = String(row.title || '').toLowerCase();\n  const titleExact = q && title.includes(q) ? 100 : 0;\n  const overlap = queryTerms.reduce((score, term) => score + (haystack.includes(term) ? 20 : 0), 0);\n  const recencyDays = Math.max(0, (Date.now() - Date.parse(String(row.updated_at || row.created_at || ''))) / 86400000);\n  const recency = Number.isFinite(recencyDays) ? Math.max(0, 20 - Math.min(20, recencyDays / 30)) : 0;\n  return exact + titleExact + overlap + (AUTHORITY_WEIGHT[row.authority as KnowledgeAuthority] || 0) + scopeWeight(String(row.scope || '')) + Number(row.version || 1) + recency;\n}\n\nexport async function ingestPaulKnowledge(client: any, ownerId: string, input: any) {\n  const scope = String(input?.scope || 'platform') as KnowledgeScope;\n  if (!['global','platform','tenant','project'].includes(scope)) throw new Error('knowledge_scope_invalid');\n  const tenantRef = clean(input?.tenantRef, 200) || null;\n  const projectRef = clean(input?.projectRef, 200) || null;\n  if (scope === 'tenant' && !tenantRef) throw new Error('knowledge_tenant_ref_required');\n  if (scope === 'project' && !projectRef) throw new Error('knowledge_project_ref_required');\n\n  const content = clean(input?.content);\n  const title = clean(input?.title, 200);\n  if (!title || content.length < 2) throw new Error('knowledge_title_and_content_required');\n  if (secretLike(content) || transientNoise(content)) throw new Error('knowledge_rejected_sensitive_or_transient_content');\n\n  const sourceType = String(input?.sourceType || 'text');\n  if (!['text','markdown','structured_text','owner_correction','verified_mission_experience','historical'].includes(sourceType)) throw new Error('knowledge_source_type_invalid');\n  const authority = String(input?.authority || (sourceType === 'owner_correction' ? 'owner_correction' : sourceType === 'verified_mission_experience' ? 'verified_experience' : sourceType === 'historical' ? 'historical' : 'owner_canonical')) as KnowledgeAuthority;\n  if (!Object.prototype.hasOwnProperty.call(AUTHORITY_WEIGHT, authority)) throw new Error('knowledge_authority_invalid');\n\n  if (sourceType === 'verified_mission_experience') {\n    const status = String(input?.provenance?.status || '').toLowerCase();\n    const proofGate = clean(input?.provenance?.proofGate, 200);\n    if (!['verified','live','completed','complete','completed_with_findings'].includes(status) || !proofGate) throw new Error('knowledge_verified_experience_proof_required');\n  }\n\n  const contentHash = await sha256(content);\n  const sourceRef = clean(input?.sourceRef, 300) || null;\n  let query = client.from('paul_knowledge_documents').select('*').eq('owner_id', ownerId).eq('content_hash', contentHash).eq('scope', scope).eq('status', 'active').limit(4);\n  query = tenantRef ? query.eq('tenant_ref', tenantRef) : query.is('tenant_ref', null);\n  query = projectRef ? query.eq('project_ref', projectRef) : query.is('project_ref', null);\n  const duplicate = await query;\n  if (duplicate.error) throw duplicate.error;\n  if (duplicate.data?.length) return { state: 'deduplicated', document: duplicate.data[0] };\n\n  let previous: any = null;\n  let version = 1;\n  if (sourceRef) {\n    let prior = client.from('paul_knowledge_documents').select('*').eq('owner_id', ownerId).eq('source_ref', sourceRef).eq('scope', scope).order('version', { ascending: false }).limit(1);\n    prior = tenantRef ? prior.eq('tenant_ref', tenantRef) : prior.is('tenant_ref', null);\n    prior = projectRef ? prior.eq('project_ref', projectRef) : prior.is('project_ref', null);\n    const priorResult = await prior;\n    if (priorResult.error) throw priorResult.error;\n    previous = priorResult.data?.[0] || null;\n    version = Number(previous?.version || 0) + 1;\n  }\n\n  const payload = {\n    owner_id: ownerId,\n    scope,\n    tenant_ref: tenantRef,\n    project_ref: projectRef,\n    title,\n    source_type: sourceType,\n    source_ref: sourceRef,\n    provenance: input?.provenance && typeof input.provenance === 'object' ? input.provenance : {},\n    authority,\n    content,\n    content_hash: contentHash,\n    version,\n    status: 'active',\n    supersedes_id: previous?.id || null,\n    metadata: input?.metadata && typeof input.metadata === 'object' ? input.metadata : {},\n    updated_at: new Date().toISOString(),\n  };\n  const inserted = await client.from('paul_knowledge_documents').insert(payload).select('*').single();\n  if (inserted.error) throw inserted.error;\n  if (previous?.id && previous.status === 'active') {\n    const superseded = await client.from('paul_knowledge_documents').update({ status: 'superseded', updated_at: new Date().toISOString() }).eq('id', previous.id).eq('owner_id', ownerId);\n    if (superseded.error) throw superseded.error;\n  }\n  return { state: previous ? 'versioned' : 'created', document: inserted.data };\n}\n\nexport async function listPaulKnowledge(client: any, input: any = {}) {\n  const limit = Math.max(1, Math.min(100, Number(input?.limit || 50)));\n  let query = client.from('paul_knowledge_documents').select('id,scope,tenant_ref,project_ref,title,source_type,source_ref,provenance,authority,content_hash,version,status,metadata,created_at,updated_at,deactivated_at').order('updated_at', { ascending: false }).limit(limit);\n  if (input?.includeInactive !== true) query = query.eq('status', 'active');\n  if (input?.scope) query = query.eq('scope', String(input.scope));\n  const result = await query;\n  if (result.error) throw result.error;\n  const q = clean(input?.query, 300).toLowerCase();\n  const rows = Array.isArray(result.data) ? result.data : [];\n  return q ? rows.filter((row: any) => JSON.stringify(row).toLowerCase().includes(q)) : rows;\n}\n\nexport async function getPaulKnowledge(client: any, id: string) {\n  const result = await client.from('paul_knowledge_documents').select('*').eq('id', id).maybeSingle();\n  if (result.error) throw result.error;\n  return result.data || null;\n}\n\nexport async function deactivatePaulKnowledge(client: any, ownerId: string, id: string) {\n  const result = await client.from('paul_knowledge_documents').update({ status: 'deactivated', deactivated_at: new Date().toISOString(), updated_at: new Date().toISOString() }).eq('id', id).eq('owner_id', ownerId).select('id,status,deactivated_at').single();\n  if (result.error) throw result.error;\n  return result.data;\n}\n\nexport async function retrievePaulKnowledge(client: any, input: { query: string; tenantRef?: string; projectRef?: string; limit?: number }) {\n  const query = clean(input?.query, 3000);\n  const tenantRef = clean(input?.tenantRef, 200);\n  const projectRef = clean(input?.projectRef, 200);\n  const result = await client.from('paul_knowledge_documents').select('*').eq('status', 'active').order('updated_at', { ascending: false }).limit(250);\n  if (result.error) return { items: [], block: 'Durable Knowledge Library: unavailable for this turn.', status: { state: 'unavailable', reason: result.error.message } };\n  const queryTerms = terms(query);\n  const items = (Array.isArray(result.data) ? result.data : [])\n    .filter((row: any) => scopeAllows(row, tenantRef, projectRef))\n    .map((row: any) => ({ ...row, score: rowScore(row, query, queryTerms) }))\n    .filter((row: any) => row.score > (AUTHORITY_WEIGHT[row.authority as KnowledgeAuthority] || 0) + scopeWeight(String(row.scope || '')))\n    .sort((a: any, b: any) => b.score - a.score || Number(b.version || 0) - Number(a.version || 0) || String(b.updated_at || '').localeCompare(String(a.updated_at || '')))\n    .slice(0, Math.max(1, Math.min(8, Number(input?.limit || 6))));\n\n  const block = items.length ? [\n    'Durable PAUL Knowledge Library (owner-controlled canonical corpus; retrieved deterministically without requiring embeddings):',\n    ...items.map((row: any, index: number) => `[K${index + 1}] scope=${row.scope} authority=${row.authority} version=${row.version} source=${row.source_ref || row.source_type} title=${JSON.stringify(row.title)} content=${JSON.stringify(clean(row.content, 1800))}`),\n    'Authority rule: live Prime truth and current repository/config outrank this library for current-state claims. Within durable knowledge: owner canonical documents > explicit owner corrections > verified terminal mission experience > historical documents > inference.',\n  ].join('\\n') : 'Durable PAUL Knowledge Library: no scoped relevant document matched this turn.';\n  return { items, block, status: { state: 'ready', itemCount: items.length, embeddingsRequired: false, retrieval: 'deterministic-keyword-authority-scope-v1' } };\n}\n\nexport async function persistVerifiedMissionExperience(client: any, ownerId: string, receipt: any) {\n  const root = receipt?.receipt || receipt?.mission || receipt || {};\n  const status = String(root?.ownerFacingState || root?.status || root?.phase || '').toLowerCase();\n  const proofGate = clean(root?.proofGate || root?.proof_gate || receipt?.proofGate, 200);\n  const missionId = clean(root?.missionId || root?.mission_id || receipt?.missionId, 160);\n  if (!missionId || !proofGate || !['verified','live','completed','complete','completed_with_findings'].includes(status)) return { state: 'skipped', reason: 'mission_not_verified_terminal' };\n  const content = clean(JSON.stringify({ objective: root?.objective || receipt?.objective || null, status, proofGate, branch: root?.branch || null, prNumber: root?.prNumber || null, sourceSha: root?.sourceSha || null, deploymentId: root?.deploymentId || null, verificationState: root?.verificationState || null }), 12000);\n  return ingestPaulKnowledge(client, ownerId, {\n    scope: 'platform',\n    title: `Verified mission ${missionId}`,\n    sourceType: 'verified_mission_experience',\n    sourceRef: `mission:${missionId}`,\n    authority: 'verified_experience',\n    content,\n    provenance: { missionId, status, proofGate, source: 'terminal_mission_receipt' },\n    metadata: { generatedFromMissionReceipt: true },\n  });\n}\n"},{"path":"supabase/functions/operator-respond/model-provider.ts","content":"export type PaulModelTurn = { role: 'system' | 'user' | 'assistant' | 'tool'; content: string | null; tool_calls?: any[]; tool_call_id?: string; name?: string };\n\nconst provider = String(Deno.env.get('KNOCKLAUNCH_MODEL_PROVIDER') ?? 'openai').trim().toLowerCase();\nconst apiKey = Deno.env.get('KNOCKLAUNCH_MODEL_API_KEY') ?? Deno.env.get('OPENAI_API_KEY') ?? '';\nconst model = String(Deno.env.get('KNOCKLAUNCH_MODEL') ?? Deno.env.get('OPENAI_MODEL') ?? 'gpt-5-mini').trim();\nconst baseUrl = String(Deno.env.get('KNOCKLAUNCH_MODEL_BASE_URL') ?? (provider === 'openai' ? 'https://api.openai.com/v1' : '')).trim().replace(/\\/+$/, '');\n\nexport const MODEL_PROVIDER = provider;\nexport const MODEL_NAME = model;\nexport const MODEL_ADAPTER_VERSION = 'paul-model-provider-v1';\n\nexport function getModelProviderConfig() {\n  if (!baseUrl || !model) throw new Error('prerequisite_required:model_provider_not_configured');\n  if (provider === 'openai' && !apiKey) throw new Error('prerequisite_required:model_provider_not_configured');\n  return { provider, apiKey, baseUrl, model, adapter: MODEL_ADAPTER_VERSION, transport: 'openai-chat-completions' as const };\n}\n\nexport function modelProviderHealth() {\n  const config = getModelProviderConfig();\n  return { provider: config.provider, model: config.model, adapter: config.adapter, transport: config.transport, baseUrlConfigured: Boolean(config.baseUrl), authConfigured: config.provider === 'openai' ? Boolean(config.apiKey) : true };\n}\n\nexport async function callModelProvider(requestBody: Record<string, unknown>, timeoutMs = 90000) {\n  const config = getModelProviderConfig();\n  const headers: Record<string, string> = { 'Content-Type': 'application/json' };\n  if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;\n  const response = await fetch(`${config.baseUrl}/chat/completions`, {\n    method: 'POST',\n    headers,\n    body: JSON.stringify({ ...requestBody, model: config.model }),\n    signal: AbortSignal.timeout(timeoutMs),\n  });\n  if (!response.ok) throw new Error(`${config.provider} HTTP ${response.status}: ${(await response.text()).slice(0, 400)}`);\n  const data = await response.json();\n  return { config, data };\n}\n"},{"path":"src/__tests__/contracts/paul-knowledge-brain.contract.test.ts","content":"import { readFileSync } from 'node:fs';\nimport { describe, expect, it } from 'vitest';\n\nconst knowledge = readFileSync('supabase/functions/operator-respond/paul-knowledge.ts', 'utf8');\nconst provider = readFileSync('supabase/functions/operator-respond/model-provider.ts', 'utf8');\nconst operator = readFileSync('supabase/functions/operator-respond/index.ts', 'utf8');\nconst migration = readFileSync('supabase/migrations/20260928120500_paul_knowledge_library.sql', 'utf8');\n\ndescribe('PAUL Knowledge Brain contract', () => {\n  it('keeps corpus canonical and embeddings optional', () => {\n    expect(migration).toContain('Canonical owner-controlled PAUL knowledge corpus');\n    expect(knowledge).toContain('embeddingsRequired: false');\n    expect(knowledge).toContain('deterministic-keyword-authority-scope-v1');\n  });\n\n  it('preserves scoped isolation and authority ordering', () => {\n    expect(knowledge).toContain(\"scope === 'tenant'\");\n    expect(knowledge).toContain(\"scope === 'project'\");\n    expect(knowledge).toContain('owner_canonical: 400');\n    expect(knowledge).toContain('owner_correction: 300');\n    expect(knowledge).toContain('verified_experience: 200');\n    expect(knowledge).toContain('historical: 100');\n  });\n\n  it('deduplicates, versions, and preserves provenance', () => {\n    expect(knowledge).toContain(\"state: 'deduplicated'\");\n    expect(knowledge).toContain(\"state: previous ? 'versioned' : 'created'\");\n    expect(migration).toContain('provenance jsonb');\n    expect(migration).toContain('content_hash text not null');\n    expect(migration).toContain('supersedes_id uuid');\n  });\n\n  it('rejects secret-like and transient debug content', () => {\n    expect(knowledge).toContain('knowledge_rejected_sensitive_or_transient_content');\n    expect(knowledge).toContain('transientNoise');\n  });\n\n  it('makes the reasoning provider replaceable without changing PAUL consumers', () => {\n    expect(provider).toContain('paul-model-provider-v1');\n    expect(provider).toContain('KNOCKLAUNCH_MODEL_BASE_URL');\n    expect(provider).toContain(\"transport: 'openai-chat-completions'\");\n    expect(operator).toContain(\"from './model-provider.ts'\");\n    expect(operator).toContain('callModelProvider');\n  });\n\n  it('reuses only proven terminal mission experience', () => {\n    expect(knowledge).toContain('mission_not_verified_terminal');\n    expect(knowledge).toContain(\"source: 'terminal_mission_receipt'\");\n    expect(operator).toContain('persistVerifiedMissionExperience');\n  });\n});\n"}],"branch":"ai/objective-first-repair-e168db68ddf8","writes":[],"patches":[],"pr_body":"Adds owner-controlled canonical knowledge documents, deterministic retrieval without required embeddings, verified mission experience reuse, model-provider adapter boundary, and owner Console Knowledge Library controls. Visual Witness is explicitly excluded from this mission.","version":1,"approved":true,"pr_title":"PAUL: add durable provider-independent Knowledge Brain","missionId":"e168db68-ddf8-4737-84d5-e6002e187d38","objective":"Build PAUL's durable provider-independent Knowledge Brain as the highest-priority KNOCKLAUNCH objective. Do not run Visual Witness or route inspection. Ship one focused production-ready vertical slice: durable owner-controlled knowledge documents, deterministic non-embedding retrieval, scoped provenance/versioning/deduplication/authority, PAUL retrieval integration, reusable verified experience/corrections, explicit model-provider adapter boundary, owner Console Knowledge Library controls, tests/evaluations, canonical Gate, merge, deploy, and non-visual live proof.","repository":"noel/KnockLaunchOS","ownerApproved":true,"releaseIntent":null,"sourceTargets":[],"anchored_edits":[{"path":"supabase/functions/operator-respond/index.ts","edits":[{"new_content":"import { closePaulHistory, getPaulHistory, listPaulHistory, persistPaulTurn, recallPaulHistory, validPaulSessionId } from './paul-memory.ts';\nimport { deactivatePaulKnowledge, getPaulKnowledge, ingestPaulKnowledge, listPaulKnowledge, persistVerifiedMissionExperience, retrievePaulKnowledge } from './paul-knowledge.ts';\nimport { callModelProvider, getModelProviderConfig, MODEL_ADAPTER_VERSION, MODEL_NAME, MODEL_PROVIDER, modelProviderHealth } from './model-provider.ts';\n\nexport const FUNCTION_VERSION = '0.11.0-paul-knowledge-brain';","old_content":"import { closePaulHistory, getPaulHistory, listPaulHistory, persistPaulTurn, recallPaulHistory, validPaulSessionId } from './paul-memory.ts';\n\nexport const FUNCTION_VERSION = '0.10.0-paul-durable-memory';"},{"new_content":"const PLATFORM_ADMIN_EMAIL = 'info@knocklaunch.app';","old_content":"const PLATFORM_ADMIN_EMAIL = 'info@knocklaunch.app';\nconst MODEL_PROVIDER = String(Deno.env.get('KNOCKLAUNCH_MODEL_PROVIDER') ?? 'openai').trim().toLowerCase();\nconst MODEL_API_KEY = Deno.env.get('KNOCKLAUNCH_MODEL_API_KEY') ?? Deno.env.get('OPENAI_API_KEY') ?? '';\nconst MODEL_NAME = Deno.env.get('KNOCKLAUNCH_MODEL') ?? Deno.env.get('OPENAI_MODEL') ?? 'gpt-5-mini';\nconst MODEL_BASE_URL = String(Deno.env.get('KNOCKLAUNCH_MODEL_BASE_URL') ?? (MODEL_PROVIDER === 'openai' ? 'https://api.openai.com/v1' : '')).trim().replace(/\\/+$/, '');"},{"new_content":"function modelConfig() { return getModelProviderConfig(); }","old_content":"function modelConfig() {\n  if (!MODEL_API_KEY || !MODEL_BASE_URL || !MODEL_NAME) throw new Error('prerequisite_required:model_provider_not_configured');\n  if (!['openai', 'openai-compatible'].includes(MODEL_PROVIDER)) throw new Error(`prerequisite_required:unsupported_model_provider:${MODEL_PROVIDER || 'unset'}`);\n  return { provider: MODEL_PROVIDER, apiKey: MODEL_API_KEY, baseUrl: MODEL_BASE_URL, model: MODEL_NAME };\n}"},{"new_content":"  const { data } = await callModelProvider({\n    messages: [{ role: 'system', content: system }, { role: 'user', content: instruction }],\n    response_format: { type: 'json_schema', json_schema: { name: 'live_edit_plan', strict: true, schema } },\n  });","old_content":"  const response = await fetch(`${model.baseUrl}/chat/completions`, {\n    method: 'POST',\n    headers: { Authorization: `Bearer ${model.apiKey}`, 'Content-Type': 'application/json' },\n    body: JSON.stringify({\n      model: model.model,\n      messages: [{ role: 'system', content: system }, { role: 'user', content: instruction }],\n      response_format: { type: 'json_schema', json_schema: { name: 'live_edit_plan', strict: true, schema } },\n    }),\n  });\n  if (!response.ok) throw new Error(`${model.provider} HTTP ${response.status}: ${(await response.text()).slice(0, 300)}`);\n  const data = await response.json();"},{"new_content":"    model_provider: MODEL_PROVIDER,\n    model: MODEL_NAME,\n    model_adapter: MODEL_ADAPTER_VERSION,\n    model_provider_health: (() => { try { return modelProviderHealth(); } catch (error) { return { provider: MODEL_PROVIDER, model: MODEL_NAME, adapter: MODEL_ADAPTER_VERSION, error: error instanceof Error ? error.message : String(error) }; } })(),\n    paul_knowledge_library: true,\n    paul_knowledge_embeddings_required: false,","old_content":"    model_provider: MODEL_PROVIDER,\n    model: MODEL_NAME,\n    model_base_url_configured: Boolean(MODEL_BASE_URL),\n    model_api_key_configured: Boolean(MODEL_API_KEY),"},{"new_content":"  if (['paul_knowledge_list', 'paul_knowledge_get', 'paul_knowledge_search', 'paul_knowledge_ingest', 'paul_knowledge_deactivate'].includes(action)) {\n    if (!isPlatformAdmin) return json({ ok: false, error: 'forbidden_platform_admin_knowledge_required' }, 403);\n    try {\n      if (action === 'paul_knowledge_list') return json({ ok: true, documents: await listPaulKnowledge(userClient, body) });\n      if (action === 'paul_knowledge_get') {\n        const document = await getPaulKnowledge(userClient, String(body.id || ''));\n        return document ? json({ ok: true, document }) : json({ ok: false, error: 'knowledge_document_not_found' }, 404);\n      }\n      if (action === 'paul_knowledge_search') return json({ ok: true, ...(await retrievePaulKnowledge(userClient, { query: String(body.query || ''), tenantRef: String(body.tenantRef || ''), projectRef: String(body.projectRef || ''), limit: Number(body.limit || 8) })) });\n      if (action === 'paul_knowledge_deactivate') return json({ ok: true, document: await deactivatePaulKnowledge(userClient, userId, String(body.id || '')) });\n      return json({ ok: true, ...(await ingestPaulKnowledge(userClient, userId, body.document || body)) });\n    } catch (error) {\n      return json({ ok: false, error: error instanceof Error ? error.message : String(error) }, 400);\n    }\n  }\n\n  if (['mission_status', 'mission_receipt', 'mission_cancel', 'owner_context'].includes(action)) {","old_content":"  if (['mission_status', 'mission_receipt', 'mission_cancel', 'owner_context'].includes(action)) {"},{"new_content":"    if (!result.ok) return json({ ok: false, error: result.error, result: result.data ?? null, ccExecutionBridgeReady: Boolean(CC_EXECUTION_KEY) }, 503);\n    if (action === 'mission_receipt') { try { await persistVerifiedMissionExperience(userClient, userId, result.data ?? result); } catch {} }\n    return json({ ok: true, result: result.data ?? result, ccExecutionBridgeReady: true });","old_content":"    if (!result.ok) return json({ ok: false, error: result.error, result: result.data ?? null, ccExecutionBridgeReady: Boolean(CC_EXECUTION_KEY) }, 503);\n    return json({ ok: true, result: result.data ?? result, ccExecutionBridgeReady: true });"},{"new_content":"    const ownerGuidance = buildPaulOwnerGuidance(userMessage);\n    const durableKnowledge = await retrievePaulKnowledge(userClient, { query: userMessage, tenantRef: String(rawConsoleContext?.tenantRef || rawConsoleContext?.tenantId || ''), projectRef: String(rawConsoleContext?.projectRef || '') });\n    const semanticHint = consoleAnswerSemanticHint(userMessage);","old_content":"    const ownerGuidance = buildPaulOwnerGuidance(userMessage);\n    const semanticHint = consoleAnswerSemanticHint(userMessage);"},{"new_content":"      paulMemory.block,\n      durableKnowledge.block,\n      'Knowledge authority: current explicit owner request wins; live Prime truth and current repo/config win for current state; then owner-approved canonical knowledge documents; explicit owner corrections; verified terminal mission experience; historical documents; finally inference.',\n      'Keep answers concise unless the owner asks for depth.',","old_content":"      paulMemory.block,\n      'Keep answers concise unless the owner asks for depth.',"},{"new_content":"      memoryAttribution: paulMemory.attribution,\n      knowledgeAttribution: durableKnowledge.items.map((item: any) => ({ id: item.id, title: item.title, scope: item.scope, authority: item.authority, version: item.version, sourceRef: item.source_ref, score: item.score })),\n      knowledgeStatus: durableKnowledge.status,\n      memoryStatus: { ...automaticRecall.status, persistence: persistence.state, persistenceReason: persistence.reason },","old_content":"      memoryAttribution: paulMemory.attribution,\n      memoryStatus: { ...automaticRecall.status, persistence: persistence.state, persistenceReason: persistence.reason },"},{"new_content":"  const academyContext = await loadAcademyContext(userClient, rawSidekickContext, userMessage);\n  const durableKnowledge = isPlatformAdmin ? await retrievePaulKnowledge(userClient, { query: recallQuery, tenantRef: String(rawSidekickContext?.tenantRef || rawSidekickContext?.tenantId || ''), projectRef: String(rawSidekickContext?.projectRef || '') }) : { items: [], block: '', status: { state: 'skipped', reason: 'tenant_mode' } };\n  const operatorCapabilityGrounding = isPlatformAdmin","old_content":"  const academyContext = await loadAcademyContext(userClient, rawSidekickContext, userMessage);\n  const operatorCapabilityGrounding = isPlatformAdmin"},{"new_content":"${operatorPaulMemory.block}\\n\\n${durableKnowledge.block}\\n\\nKnowledge authority: current explicit owner request wins; live Prime truth and current repo/config win for current state; then owner-approved canonical knowledge documents; explicit owner corrections; verified terminal mission experience; historical documents; finally inference.\\n\\nRegular/tenant users","old_content":"${operatorPaulMemory.block}\\n\\nRegular/tenant users"},{"new_content":"  const requestBody: Record<string, unknown> = { messages };\n  if (availableTools.length > 0) {\n    requestBody.tools = availableTools;\n    requestBody.tool_choice = 'auto';\n  }\n  const { config, data } = await callModelProvider(requestBody);\n  const msg = data.choices?.[0]?.message ?? {};\n  return {\n    provider: config.provider,\n    model: config.model,","old_content":"  const model = modelConfig();\n  const requestBody: Record<string, unknown> = { model: model.model, messages };\n  if (availableTools.length > 0) {\n    requestBody.tools = availableTools;\n    requestBody.tool_choice = 'auto';\n  }\n  const resp = await fetch(`${model.baseUrl}/chat/completions`, {\n    method: 'POST',\n    headers: { Authorization: `Bearer ${model.apiKey}`, 'Content-Type': 'application/json' },\n    body: JSON.stringify(requestBody),\n  });\n  if (!resp.ok) throw new Error(`${model.provider} HTTP ${resp.status}: ${(await resp.text()).slice(0, 400)}`);\n  const data = await resp.json();\n  const msg = data.choices?.[0]?.message ?? {};\n  return {\n    provider: model.provider,\n    model: model.model,"},{"new_content":"    memoryAttribution: operatorPaulMemory.attribution,\n    knowledgeAttribution: durableKnowledge.items.map((item: any) => ({ id: item.id, title: item.title, scope: item.scope, authority: item.authority, version: item.version, sourceRef: item.source_ref, score: item.score })),\n    knowledgeStatus: durableKnowledge.status,\n    memoryStatus: { ...automaticRecall.status, persistence: persistence.state, persistenceReason: persistence.reason },","old_content":"    memoryAttribution: operatorPaulMemory.attribution,\n    memoryStatus: { ...automaticRecall.status, persistence: persistence.state, persistenceReason: persistence.reason },"}]},{"path":"src/pages/admin/GodModeCommandConsole.tsx","edits":[{"new_content":"type HistoryTab = 'live' | 'chats' | 'runs' | 'knowledge';","old_content":"type HistoryTab = 'live' | 'chats' | 'runs';"},{"new_content":"  const [liveRows, setLiveRows] = useState<any[]>([]);\n  const [knowledgeRows, setKnowledgeRows] = useState<any[]>([]);\n  const [knowledgeTitle, setKnowledgeTitle] = useState('');\n  const [knowledgeContent, setKnowledgeContent] = useState('');\n  const [knowledgeScope, setKnowledgeScope] = useState<'global' | 'platform' | 'tenant' | 'project'>('platform');\n  const [currentSessionId, setCurrentSessionId] = useState('');","old_content":"  const [liveRows, setLiveRows] = useState<any[]>([]);\n  const [currentSessionId, setCurrentSessionId] = useState('');"},{"new_content":"      } else if (tab === 'chats') {\n        const rpc = await (supabase as any).rpc('list_console_sessions', { _query: query || null, _limit: 150 });\n        if (rpc?.error) throw rpc.error;\n        setSessionRows(Array.isArray(rpc?.data) ? rpc.data : []);\n      } else if (tab === 'knowledge') {\n        const { data, error } = await supabase.functions.invoke('operator-respond', { body: { action: 'paul_knowledge_list', query: query || '', limit: 100 } });\n        if (error || !data?.ok) throw new Error(error?.message || data?.error || 'Knowledge Library unavailable.');\n        setKnowledgeRows(Array.isArray(data.documents) ? data.documents : []);\n      } else {\n        const rpc = await (supabase as any).rpc('search_console_runs', { _query: query || null, _limit: 150 });\n        if (rpc?.error) throw rpc.error;\n        setRunRows(Array.isArray(rpc?.data) ? rpc.data : []);\n      }","old_content":"      } else if (tab === 'chats') {\n        const rpc = await (supabase as any).rpc('list_console_sessions', { _query: query || null, _limit: 150 });\n        if (rpc?.error) throw rpc.error;\n        setSessionRows(Array.isArray(rpc?.data) ? rpc.data : []);\n      } else {\n        const rpc = await (supabase as any).rpc('search_console_runs', { _query: query || null, _limit: 150 });\n        if (rpc?.error) throw rpc.error;\n        setRunRows(Array.isArray(rpc?.data) ? rpc.data : []);\n      }"},{"new_content":"  async function ingestKnowledgeDocument() {\n    const title = knowledgeTitle.trim();\n    const content = knowledgeContent.trim();\n    if (!title || !content) { setHistoryError('Knowledge title and content are required.'); return; }\n    setHistoryLoading(true);\n    setHistoryError(null);\n    try {\n      const tenantRef = knowledgeScope === 'tenant' || knowledgeScope === 'project' ? String(operatorContext.tenantRef || activeTenant?.company_slug || activeTenant?.id || '') : '';\n      const projectRef = knowledgeScope === 'project' ? String(operatorContext.projectRef || operatorContext.route || '') : '';\n      const { data, error } = await supabase.functions.invoke('operator-respond', { body: { action: 'paul_knowledge_ingest', document: { title, content, scope: knowledgeScope, tenantRef: tenantRef || undefined, projectRef: projectRef || undefined, sourceType: 'text', sourceRef: `owner-console:${title.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, '').slice(0,80)}`, authority: 'owner_canonical', provenance: { source: 'owner_console_knowledge_library', ingestedAt: nowIso() } } } });\n      if (error || !data?.ok) throw new Error(error?.message || data?.error || 'Knowledge ingest failed.');\n      setKnowledgeTitle('');\n      setKnowledgeContent('');\n      await refreshConsoleHistory('knowledge', historyQuery);\n    } catch (error) { setHistoryError(cleanConsoleError(error)); }\n    finally { setHistoryLoading(false); }\n  }\n\n  async function deactivateKnowledgeDocument(id: string) {\n    setHistoryLoading(true);\n    try {\n      const { data, error } = await supabase.functions.invoke('operator-respond', { body: { action: 'paul_knowledge_deactivate', id } });\n      if (error || !data?.ok) throw new Error(error?.message || data?.error || 'Knowledge deactivation failed.');\n      await refreshConsoleHistory('knowledge', historyQuery);\n    } catch (error) { setHistoryError(cleanConsoleError(error)); }\n    finally { setHistoryLoading(false); }\n  }\n\n  async function openConsoleSession(sessionId: string, closeDrawer = true) {","old_content":"  async function openConsoleSession(sessionId: string, closeDrawer = true) {"},{"new_content":"            {(['live','chats','runs','knowledge'] as HistoryTab[]).map((tab) => (\n              <button key={tab} type=\"button\" onClick={() => setHistoryTab(tab)} className={(historyTab === tab ? 'border-blue-300/30 bg-blue-300/10 text-blue-100' : 'border-white/10 text-slate-400 hover:border-blue-300/20 hover:text-white') + ' min-h-11 flex-1 rounded-lg border px-3 py-1.5 text-[10px] font-semibold uppercase tracking-[0.1em] transition-colors sm:min-h-9 sm:flex-none'}>\n                {tab === 'live' ? 'Current' : tab === 'chats' ? 'Chats' : tab === 'runs' ? 'Runs' : 'Knowledge'}","old_content":"            {(['live','chats','runs'] as HistoryTab[]).map((tab) => (\n              <button key={tab} type=\"button\" onClick={() => setHistoryTab(tab)} className={(historyTab === tab ? 'border-blue-300/30 bg-blue-300/10 text-blue-100' : 'border-white/10 text-slate-400 hover:border-blue-300/20 hover:text-white') + ' min-h-11 flex-1 rounded-lg border px-3 py-1.5 text-[10px] font-semibold uppercase tracking-[0.1em] transition-colors sm:min-h-9 sm:flex-none'}>\n                {tab === 'live' ? 'Current' : tab === 'chats' ? 'Chats' : 'Runs'}"},{"new_content":"          {!historyLoading && historyTab === 'knowledge' ? (\n            <div className=\"space-y-3\">\n              <div className=\"rounded-xl border border-blue-300/15 bg-blue-300/[0.035] p-3\">\n                <div className=\"text-[10px] font-semibold uppercase tracking-[0.14em] text-blue-200/70\">Add to PAUL</div>\n                <input value={knowledgeTitle} onChange={(event) => setKnowledgeTitle(event.target.value)} placeholder=\"Knowledge title\" className=\"mt-2 w-full rounded-lg border border-white/10 bg-black/25 px-3 py-2 text-xs text-white outline-none placeholder:text-white/25\" />\n                <div className=\"mt-2 flex gap-1\">{(['global','platform','tenant','project'] as const).map((scope) => <button key={scope} type=\"button\" onClick={() => setKnowledgeScope(scope)} className={(knowledgeScope === scope ? 'border-blue-300/30 bg-blue-300/10 text-blue-100' : 'border-white/10 text-white/35') + ' rounded-md border px-2 py-1 text-[9px] font-semibold uppercase'}>{scope}</button>)}</div>\n                <textarea value={knowledgeContent} onChange={(event) => setKnowledgeContent(event.target.value)} rows={7} placeholder=\"Paste text, Markdown, or extracted document text…\" className=\"mt-2 w-full resize-y rounded-lg border border-white/10 bg-black/25 p-3 text-xs leading-5 text-white outline-none placeholder:text-white/25\" />\n                <button type=\"button\" disabled={!knowledgeTitle.trim() || !knowledgeContent.trim()} onClick={() => void ingestKnowledgeDocument()} className=\"mt-2 min-h-10 rounded-lg border border-blue-300/30 bg-blue-300/10 px-3 text-[10px] font-bold uppercase tracking-[0.1em] text-blue-100 disabled:opacity-35\">Ingest knowledge</button>\n                <div className=\"mt-2 text-[9px] leading-4 text-white/30\">Canonical corpus · deterministic retrieval · embeddings optional · sensitive credentials rejected</div>\n              </div>\n              {knowledgeRows.map((row: any) => <div key={String(row.id)} className=\"rounded-xl border border-white/[0.08] bg-white/[0.02] p-3\"><div className=\"flex items-start justify-between gap-3\"><div className=\"min-w-0\"><div className=\"truncate text-xs font-semibold text-white/75\">{String(row.title || 'Knowledge document')}</div><div className=\"mt-1 flex flex-wrap gap-2 text-[9px] uppercase tracking-[0.08em] text-white/30\"><span>{String(row.scope)}</span><span>{String(row.authority)}</span><span>v{Number(row.version || 1)}</span><span>{String(row.source_type || '')}</span></div>{row.source_ref ? <div className=\"mt-1 truncate font-mono text-[9px] text-blue-200/45\">{String(row.source_ref)}</div> : null}</div><button type=\"button\" onClick={() => void deactivateKnowledgeDocument(String(row.id))} className=\"shrink-0 rounded-md border border-white/10 px-2 py-1 text-[9px] text-white/35 hover:border-red-300/25 hover:text-red-200\">Deactivate</button></div></div>)}\n              {!knowledgeRows.length ? <div className=\"rounded-xl border border-white/[0.07] bg-white/[0.02] p-4 text-xs text-white/38\">No matching active knowledge documents.</div> : null}\n            </div>\n          ) : null}\n\n          {!historyLoading && historyTab === 'runs' ? (","old_content":"          {!historyLoading && historyTab === 'runs' ? ("}]},{"path":"scripts/knocklaunch-console/README.md","edits":[{"new_content":"Stable owner context is the cheapest first context path for PAUL.\n\nPAUL also owns a provider-independent Knowledge Brain. Canonical owner documents live in `paul_knowledge_documents`; embeddings/search caches are optional rebuildable projections. Retrieval is deterministic by scope, authority, version/recency, and keyword/exact relevance. Authority is: current explicit owner request -> live Prime/current repo for current state -> owner-approved canonical documents -> explicit owner corrections -> verified terminal mission experience -> historical documents -> inference. Model providers sit behind `operator-respond/model-provider.ts`, so PAUL identity, knowledge, memory, tools, and mission history do not depend on OpenAI.","old_content":"Stable owner context is the cheapest first context path for PAUL."}]}],"implementation":{"files":[],"writes":[]},"requestContract":null,"repairGeneration":null,"executionEnvelope":{"ship":true,"version":1,"approved":true,"missionId":"e168db68-ddf8-4737-84d5-e6002e187d38","ownerApproved":true,"releaseIntent":null,"sourceTargets":[],"requestContract":null,"repairGeneration":null,"proofRequirements":null,"controlPlaneUnfreeze":false,"controlPlaneMaintenance":false,"controlPlaneMaintenancePaths":[],"controlPlaneMaintenanceReason":null},"proofRequirements":null,"controlPlaneUnfreeze":false,"durableMutationResume":true,"controlPlaneMaintenance":false,"controlPlaneMaintenancePaths":[],"controlPlaneMaintenanceReason":null},"recovery":false,"fingerprint":"37fe363204fd8373780cfefeb57ed5383a6854784b1e988013c5e0cc51839b94","replayCount":0,"serializedBytes":42841},"tenant_id":"a3ffa31f-0c88-4fdd-b872-051db013ca3e","created_at":"2026-09-28T16:35:25.450075+00:00","proof_gate":"repository_mutation_intent_persisted","source_sha":null,"external_id":null,"receipt_type":"repository_mutation_intent","idempotency_key":"mission:e168db68-ddf8-4737-84d5-e6002e187d38:repository-mutation-intent:37fe363204fd8373780cfefeb57ed5383a6854784b1e988013c5e0cc51839b94:0","mission_step_id":"455c9717-a616-46e4-a2cf-987ff44968e1","command_center_event_id":"e168db68-ddf8-4737-84d5-e6002e187d38"},{"id":"111b7912-e58f-489b-a2c5-adf32e0786fa","source":"cc-execution","status":"waiting_for_gate","payload":{"ok":true,"jobId":null,"phase":"objective_received","branch":"ai/big-papis-shell-readiness-8e15993a","reason":"provider_verified_auto_progress_owns_gate_merge_release_outside_owner_response","status":"waiting_for_gate","metrics":{"receiptBytes":0,"releaseCount":0,"toolCallCount":0,"repeatedCallCount":0,"ownerInterruptionCount":0},"version":"1.58.197-deterministic-owner-progress","prNumber":3320,"terminal":false,"missionId":"2fd9de98-feeb-4819-b22d-5f3f6c0e265b","operation":"execute_mission","proofGate":"repair_mission_pr_handed_off_to_supervisor","sourceSha":null,"timingsMs":{"gateMs":0,"proofMs":0,"handlerMs":4779,"releaseMs":0,"mutationMs":0,"repositoryMs":0,"prReadinessMs":0,"approvedPlanMs":809,"missionSetupMs":436,"providerAuthMs":0,"shipAndProveMs":0,"ledgerPrepareMs":436,"ledgerReconcileMs":0,"lineageReconcileMs":0,"resolvePreflightMs":436,"repositoryMutationMs":3970,"repositoryProviderMs":3970,"authoritativeLedgerMs":0,"ledgerAsyncDispatchMs":0,"repositoryAtomicCommitMs":2262,"repositoryBranchCreateMs":0,"totalSynchronousLedgerMs":436,"asyncBookkeepingDispatchMs":0,"ledgerAuthoritativeCommitMs":0,"repositoryPullRequestCreateMs":1708},"nextAction":"Canonical KnockLaunch Gate notifier and durable mission supervisor own Gate, merge, release, and proof progression from this exact PR head outside the owner response 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the same full Big Papi repair. Apply the first functional batch now: fix Back Office desktop width; make Crew home controls functional with inline add-crew and onboarding management plus a real Hiring route; add a true direct-recipient crew/non-client proposal creation mode that bypasses Customer/Event; and restrict the event-client picker to prior event clients only. Preserve existing client/event flow.","repository":"noel/KnockLaunchOS","ownerApproved":true,"releaseIntent":null,"sourceTargets":["src/styles/bigPapisApplicationFamily.css","src/pages/mobile-vendor/BigPapisToday.tsx","src/pages/proposals/UniversalProposalWorkspace.tsx"],"anchored_edits":[{"find":"body.kl-big-papis-app-family .kl-responsive-tenant-runtime{--bp-app-max-width:1120px;--bp-app-radius:18px;--bp-control-radius:14px;--bp-control-height:44px;--bp-app-hero:none;--bp-app-accent:#ff2aa6;--bp-app-glow:rgba(255,42,166,.34)}","path":"src/styles/bigPapisApplicationFamily.css","replace":"body.kl-big-papis-app-family .kl-responsive-tenant-runtime{--bp-app-max-width:1600px;--bp-app-radius:18px;--bp-control-radius:14px;--bp-control-height:44px;--bp-app-hero:none;--bp-app-accent:#ff2aa6;--bp-app-glow:rgba(255,42,166,.34)}"},{"find":"  const [weatherExpanded, setWeatherExpanded] = React.useState(false);\n  const dashboardCalendarHref","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"  const [weatherExpanded, setWeatherExpanded] = React.useState(false);\n  const [crewInviteOpen, setCrewInviteOpen] = React.useState(false);\n  const [crewOnboardingOpen, setCrewOnboardingOpen] = React.useState(false);\n  const [crewProfileId, setCrewProfileId] = React.useState<string | null>(null);\n  const [crewInviteDraft, setCrewInviteDraft] = React.useState({ name: '', email: '', phone: '', role: 'Crew' });\n  const dashboardCalendarHref"},{"find":"  const popupSessionsQuery = useQuery({\n    queryKey: ['big-papis-popup-sessions', tenantId],","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"  const crewInvitesQuery = useQuery({\n    queryKey: ['big-papis-crew-invitations', tenantId],\n    enabled: Boolean(tenantId),\n    queryFn: async () => {\n      const { data, error } = await (supabase as any)\n        .from('user_invitations')\n        .select('id,name,email,phone,role,status,invited_at,accepted_at,metadata')\n        .eq('tenant_id', tenantId)\n        .contains('metadata', { crew: true })\n        .order('invited_at', { ascending: false });\n      if (error) throw error;\n      return data || [];\n    },\n  });\n  const crewInviteMutation = useMutation({\n    mutationFn: async () => {\n      const name = crewInviteDraft.name.trim();\n      const email = crewInviteDraft.email.trim();\n      if (!name) throw new Error('Add the crew member name.');\n      if (!email) throw new Error('Add the crew member email.');\n      const { data, error } = await (supabase as any).from('user_invitations').insert({\n        tenant_id: tenantId,\n        name,\n        email,\n        phone: crewInviteDraft.phone.trim() || null,\n        role: 'user',\n        invited_by: user?.id || null,\n        status: 'pending',\n        message: `You have been invited to join Big Papi's crew as ${crewInviteDraft.role.trim() || 'Crew'}.`,\n        metadata: { crew: true, crew_role: crewInviteDraft.role.trim() || 'Crew', onboarding_status: 'invited' },\n      }).select('id,name,email,phone,role,status,invited_at,accepted_at,metadata').single();\n      if (error) throw error;\n      return data;\n    },\n    onSuccess: async () => {\n      await crewInvitesQuery.refetch();\n      setCrewInviteDraft({ name: '', email: '', phone: '', role: 'Crew' });\n      setCrewInviteOpen(false);\n      toast.success('Crew invitation created.');\n    },\n    onError: (error: any) => toast.error(error?.message || 'Could not add crew member.'),\n  });\n  const popupSessionsQuery = useQuery({\n    queryKey: ['big-papis-popup-sessions', tenantId],"},{"find":"<button key={member.user_id} type=\"button\" data-big-papis-crew-profile={member.user_id} className=\"w-full rounded-xl border border-white/10 bg-black/20 p-3 text-left\">","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"<button key={member.user_id} type=\"button\" onClick={() => setCrewProfileId(member.user_id)} data-big-papis-crew-profile={member.user_id} className=\"w-full rounded-xl border border-white/10 bg-black/20 p-3 text-left\">"},{"find":"<div className=\"mt-3 grid grid-cols-3 gap-2\"><button type=\"button\" className=\"min-h-10 rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">+ Crew member</button><button type=\"button\" className=\"min-h-10 rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">Hiring</button><button type=\"button\" className=\"min-h-10 rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">Onboarding</button></div>","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"<div className=\"mt-3 grid grid-cols-3 gap-2\"><button type=\"button\" onClick={() => setCrewInviteOpen(true)} className=\"min-h-10 rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">+ Crew member</button><Link to={`${BASE}/proposals?recipientType=crew`} className=\"inline-flex min-h-10 items-center justify-center rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">Hiring</Link><button type=\"button\" onClick={() => setCrewOnboardingOpen(true)} className=\"min-h-10 rounded-xl border border-white/10 bg-white/[.04] px-2 text-[10px] font-black\">Onboarding</button></div>"},{"find":"    <main data-big-papis-today=\"true\" className={`bg-transparent text-white ${!selectedMode ? 'h-full min-h-0 overflow-hidden' : 'min-h-full'}`}><style>{`.kl-mode-neon-card","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"    <main data-big-papis-today=\"true\" className={`bg-transparent text-white ${!selectedMode ? 'h-full min-h-0 overflow-hidden' : 'min-h-full'}`}><style>{`.kl-mode-neon-card"},{"find":"</style>\n      <div data-big-papis-cinematic-grid=\"true\"","path":"src/pages/mobile-vendor/BigPapisToday.tsx","replace":"</style>\n      <Dialog open={crewInviteOpen} onOpenChange={setCrewInviteOpen}><DialogContent className=\"border-[#4c1d95]/60 bg-[#071019] text-white\"><DialogHeader><DialogTitle>Add crew member</DialogTitle></DialogHeader><div className=\"grid gap-3\"><input value={crewInviteDraft.name} onChange={(e) => setCrewInviteDraft((current) => ({ ...current, name: e.target.value }))} placeholder=\"Name\" className=\"min-h-11 rounded-xl border border-white/10 bg-black/25 px-3\"/><input value={crewInviteDraft.email} onChange={(e) => setCrewInviteDraft((current) => ({ ...current, email: e.target.value }))} placeholder=\"Email\" type=\"email\" className=\"min-h-11 rounded-xl border border-white/10 bg-black/25 px-3\"/><input value={crewInviteDraft.phone} onChange={(e) => setCrewInviteDraft((current) => ({ ...current, phone: e.target.value }))} placeholder=\"Phone (optional)\" className=\"min-h-11 rounded-xl border border-white/10 bg-black/25 px-3\"/><input value={crewInviteDraft.role} onChange={(e) => setCrewInviteDraft((current) => ({ ...current, role: e.target.value }))} placeholder=\"Crew role\" className=\"min-h-11 rounded-xl border border-white/10 bg-black/25 px-3\"/><button type=\"button\" disabled={crewInviteMutation.isPending} onClick={() => crewInviteMutation.mutate()} className=\"min-h-11 rounded-xl bg-[#4c1d95] px-4 font-black\">{crewInviteMutation.isPending ? 'Adding…' : 'Add to crew'}</button></div></DialogContent></Dialog>\n      <Dialog open={crewOnboardingOpen} onOpenChange={setCrewOnboardingOpen}><DialogContent className=\"max-h-[80vh] overflow-y-auto border-[#4c1d95]/60 bg-[#071019] text-white\"><DialogHeader><DialogTitle>Crew onboarding</DialogTitle></DialogHeader><div className=\"grid gap-2\">{(crewMembersQuery.data || []).map((member: any) => <div key={member.user_id} className=\"rounded-xl border border-white/10 bg-white/[.04] p-3\"><div className=\"font-black\">{member.user_name || member.user_email || 'Crew member'}</div><div className=\"mt-1 text-xs text-white/55\">{member.is_owner ? 'Owner / Operator · Active' : 'Crew · Active'}</div></div>)}{(crewInvitesQuery.data || []).map((invite: any) => <div key={invite.id} className=\"rounded-xl border border-violet-300/15 bg-violet-300/[.05] p-3\"><div className=\"font-black\">{invite.name || invite.email}</div><div className=\"mt-1 text-xs text-white/55\">{invite.metadata?.crew_role || 'Crew'} · {invite.status || 'pending'}</div><Link to={`${BASE}/proposals?recipientType=crew&candidate=${encodeURIComponent(invite.id)}`} className=\"mt-2 inline-flex min-h-9 items-center rounded-lg border border-[#4c1d95]/60 px-3 text-xs font-black\">Create hiring proposal</Link></div>)}{!(crewMembersQuery.data || []).length && !(crewInvitesQuery.data || []).length ? <div className=\"text-sm text-white/55\">No crew or pending onboarding records.</div> : null}</div></DialogContent></Dialog>\n      <Dialog open={Boolean(crewProfileId)} onOpenChange={(open) => { if (!open) setCrewProfileId(null); }}><DialogContent className=\"border-[#4c1d95]/60 bg-[#071019] text-white\"><DialogHeader><DialogTitle>Crew profile</DialogTitle></DialogHeader>{(() => { const member = (crewMembersQuery.data || []).find((item: any) => item.user_id === crewProfileId); if (!member) return <div className=\"text-sm text-white/55\">Crew profile unavailable.</div>; return <div className=\"grid gap-3\"><div><div className=\"text-lg font-black\">{member.user_name || member.user_email || 'Crew member'}</div><div className=\"text-xs font-black uppercase tracking-[.14em] text-violet-200/70\">{member.is_owner ? 'Owner · Crew' : 'Crew'}</div></div><div className=\"grid grid-cols-2 gap-2 text-sm\"><div className=\"rounded-xl border border-white/10 p-3\"><div className=\"text-[10px] uppercase text-white/40\">Role</div><div className=\"mt-1 font-black\">{member.is_owner ? 'Owner / Operator' : 'Crew'}</div></div><div className=\"rounded-xl border border-white/10 p-3\"><div className=\"text-[10px] uppercase text-white/40\">Status</div><div className=\"mt-1 font-black\">Active</div></div></div><div className=\"grid grid-cols-2 gap-2\"><Link to={`${BASE}/calendar?crew=1&crewMember=${encodeURIComponent(member.user_id)}`} className=\"inline-flex min-h-10 items-center justify-center rounded-xl border border-white/10 font-black\">Schedule</Link><Link to={`${BASE}/proposals?recipientType=crew&crewMember=${encodeURIComponent(member.user_id)}`} className=\"inline-flex min-h-10 items-center justify-center rounded-xl border border-white/10 font-black\">Hiring history</Link></div></div>; })()}</DialogContent></Dialog>\n      <div data-big-papis-cinematic-grid=\"true\""},{"find":"  const requestedMessageId = params.get('messageId') || '';\n  const [search, setSearch]","path":"src/pages/proposals/UniversalProposalWorkspace.tsx","replace":"  const requestedMessageId = params.get('messageId') || '';\n  const requestedRecipientType = String(params.get('recipientType') || '').trim().toLowerCase();\n  const directRecipientTypes = ['crew', 'ambassador', 'partner', 'vendor', 'sponsor', 'other'];\n  const isDirectRecipientProposal = directRecipientTypes.includes(requestedRecipientType);\n  const [search, setSearch]"},{"find":"  const contacts = contactsQuery.data || [];\n  const isBigPapisProfile = profile?.renderer_key === 'big_papis_editorial_v2';\n  const isEventProposal = profile?.config?.contextKind === 'event';","path":"src/pages/proposals/UniversalProposalWorkspace.tsx","replace":"  const allContacts = contactsQuery.data || [];\n  const isBigPapisProfile = profile?.renderer_key === 'big_papis_editorial_v2';\n  const isEventProposal = profile?.config?.contextKind === 'event';\n  const priorEventClientIds = new Set(bookings.map((booking) => booking.contact_id).filter(Boolean));\n  const contacts = isBigPapisProfile && isEventProposal && !isDirectRecipientProposal\n    ? allContacts.filter((contact: any) => priorEventClientIds.has(contact.id))\n    : allContacts;"},{"find":"  const createMutation = useMutation({\n    mutationFn: async () => {\n      if (!profile) throw new Error('Proposal setup is still loading.');","path":"src/pages/proposals/UniversalProposalWorkspace.tsx","replace":"  const createMutation = useMutation({\n    mutationFn: async () => {\n      if (!profile) throw new Error('Proposal setup is still loading.');\n      if (isDirectRecipientProposal) {\n        const name = createCustomerDraft.name.trim();\n        const email = createCustomerDraft.email.trim();\n        const role = createEventDraft.eventName.trim();\n        const compensation = createEventDraft.location.trim();\n        const terms = createEventDraft.notes.trim();\n        if (!name) throw new Error(requestedRecipientType === 'crew' ? 'Add the candidate name.' : 'Add the recipient name.');\n        if (!email) throw new Error('Add the recipient email.');\n        if (!role) throw new Error(requestedRecipientType === 'crew' ? 'Add the crew role.' : 'Add the proposal title or role.');\n        const proposal = await createProposal(tenantId, {\n          offerKey: String(profile.config?.defaultOfferKey || ''),\n          idempotencyKey: `direct:${requestedRecipientType}:${email}:${crypto.randomUUID()}`,\n          manual: true,\n        });\n        return saveProposalDraft(tenantId, proposal.id, {\n          recipient: { name, email, phone: createCustomerDraft.phone.trim() || null },\n          context: { kind: 'direct_recipient', recipientType: requestedRecipientType, role, compensation: compensation || null, terms: terms || null },\n          internalNotes: terms || null,\n        });\n      }"},{"find":"  return <main data-universal-proposals=\"true\" data-proposal-contract=\"PREHISTORIC-002-UNIVERSAL-PROPOSALS\"","path":"src/pages/proposals/UniversalProposalWorkspace.tsx","replace":"  React.useEffect(() => { if (isDirectRecipientProposal && isBigPapisProfile && !draft) setCreateOpen(true); }, [isDirectRecipientProposal, isBigPapisProfile, draft?.id]);\n\n  return <main data-universal-proposals=\"true\" data-proposal-contract=\"PREHISTORIC-002-UNIVERSAL-PROPOSALS\""},{"find":"      {createOpen ? isBigPapisProfile ? <section className=\"proposal-workspace__create proposal-workspace__create--big-papis !block\" data-big-papis-new-proposal=\"true\">","path":"src/pages/proposals/UniversalProposalWorkspace.tsx","replace":"      {createOpen && isDirectRecipientProposal && isBigPapisProfile ? <section className=\"proposal-workspace__create proposal-workspace__create--big-papis !block\" data-big-papis-direct-recipient-proposal=\"true\"><div className=\"proposal-workspace__create-heading !items-start\"><div><div className=\"proposal-workspace__label\">{requestedRecipientType === 'crew' ? 'Hiring proposal' : 'Direct proposal'}</div><h2>{requestedRecipientType === 'crew' ? 'Candidate & offer' : 'Recipient & offer'}</h2><p>No customer or event record is required. This proposal stays attached to the recipient type you selected.</p></div></div><div className=\"grid gap-4 md:grid-cols-2\"><label className=\"grid gap-1.5 text-sm font-black\">{requestedRecipientType === 'crew' ? 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