Model-powered editing with the shared editor tool catalog, managed Kie.ai Cloud chat, multi-provider AI video/image/audio generation, local scene description, transcription, browser-local SAM 2 segmentation, native-helper MatAnyone2 matting, and local MuScriptor music-to-MIDI.
- FlashBoard Chat
- Chat Providers
- Media Generator Tray
- AI Segmentation and MatAnyone2
- AI Editor Tools
- AI Visual Feedback System
- AI Bridge Architecture
- Hosted AI Safety And Audit
- Transcription
- Scene Description
- Configuration
Kernel-first routing: when an agent-kernel service is configured (
ms.kernel.url+ms.kernel.token), mechanical editing requests are compiled, simulated, and verified by the kernel and executed locally in one undo group before any provider call happens; everything else falls back to the chat loop described below. Seedocs/Features/Kernel-Client.mdfor the full flow and fallback matrix.
- Floating FlashBoard composer chat mode
- Interactive chat interface
- Model menu for Kie.ai hosted chat
- Conversation history
- Clear chat button
- Auto-scrolling
- Tool execution indicators
| Provider | Runtime | Configuration |
|---|---|---|
Kie.ai |
MasterSelects hosted chat through the hosted agent kernel | Signed-in account with hosted AI enabled |
Hosted Kie.ai chat keeps the provider key on the Cloudflare backend. The browser has no Kie.ai key setting, credential header, or direct provider fallback; unavailable hosted access fails closed with an account or credit prompt.
Transcription modes are
local, openai, assemblyai, deepgram, and the hybrid Deepgram + OpenAI
fusion path.
FlashBoard Chat includes a PromptBook button for provider-specific system prompt overrides, generation prompts, generated media, chat history, and tool-call history. Prompts can be saved into the current project folder under Prompts/*.prompt.json, reloaded from the saved prompt list, reset to the built-in prompt, imported from a text/Markdown file, and exported as a .txt file. The active override and its Send current MasterSelects context setting are mirrored in app settings so the chat can use them immediately. The floating FlashBoard Chat is the primary AI editing surface.
Kie.ai:
GPT 5.6 Luna, GPT 5.6 Terra, GPT 5.6 Sol
GPT 5.5, GPT 5.4
Claude Opus 4.8, Claude Sonnet 5
Claude Fable 5 (chat only)
Default model: gpt-5-6-terra
GPT models use Kie.ai's /codex/v1/responses protocol. Opus 4.8 and Sonnet 5 use /claude/v1/messages with editor tools. Kie.ai documents Fable 5 as not supporting function calls, so the UI labels it chat only and never exposes editor tools to that model.
When enabled:
- Includes timeline context in prompts
- Uses the exported AI tool catalog from
src/services/aiTools/definitions - The chat UI and dispatcher policy gate tool execution
- AI can manipulate timeline directly
The model-facing catalog is selected from the exported definition groups and capped at 128 tools for Kie.ai requests. Core timeline and face-analysis tools are placed first before the cap is applied. openComposition and searchVideos are both mapped through the shared handler registry.
In development, the same shared tool surface is also exposed in the browser console:
window.aiTools.execute('splitClip', { clipId, time: 12.5 })
window.aiTools.list()
window.aiTools.status()That console surface is dev-only. The Vite dev bridge and the Native Helper HTTP bridge both route into the same dispatcher, so chat, browser-console use, and external local agents all execute against the same shared tool registry.
- Bottom-right Generate tray inside the Media Panel
- Board view toolbar -> Generate
Generation launches from Media so generated results land directly beside imported assets.
- Compact prompt composer for video, image, and audio generation
- The expanded AI tray is loaded lazily on hover/click interaction; the collapsed tray does not import the heavy FlashBoard runtime on idle startup.
- Active IN / OUT / REF assignments appear as removable media cards around the prompt box; image-to-video cards expose inline
IN,REF, andOUTrole controls - Compact setting buttons such as model, aspect ratio, duration, image size, and mode open as inline submenus: the standard control row slides out, submenu pills stagger in, and the default row returns after selection
- Reference cards use pointer-proximity magnification in the compact Media tray, with previews scaling visually outside the tray without changing the prompt box height; crowded trays switch the reference cards into a vertical scroll strip
- Media Panel image, video, and audio files can be referenced by right-clicking them or dragging them onto the expanded prompt composer
- Hosted Kie.ai-backed image generation includes Nano Banana 2, Nano Banana Pro, GPT Image 2, Flux 2 Pro, Seedream 5 Lite, and Flux Kontext Pro/Max through the shared async image-provider adapter. GPT Image 2 Edit, Flux 2 Pro Edit, Seedream 5 Lite Edit, Recraft Remove Background, Recraft Crisp Upscale, and Topaz Image Upscale require at least one reference image before generation is enabled.
- Kie.ai utility image/video models are exposed in the same Image and Video category chips. Recraft and Topaz image utilities can run without a prompt but require image input; Topaz Video Upscale can run without a prompt but requires a video reference and uses the mode button for
2x/4x. - Kie.ai video generation includes hosted Kling 3.0, Seedance 2.0 / Fast, Veo 3.1, and Runway through MasterSelects Cloud. Veo and Runway use their dedicated Kie endpoints and polling schemas rather than the generic Market
recordInfoschema. - The compact composer shows empty dashed capability slots for the selected video model's available inputs (
IN,OUT,REF,VID,AUD) next to real reference cards. Resolution-capable models label their mode control with actual outputs such as720p,1080p, and4K; Runway hides1080pwhen10sis selected because Kie.ai does not allow that combination. - Nano Banana 2 and Nano Banana Pro accept up to 14 ordered reference images through the hosted Kie.ai route. Kie.ai and Cloud Seedance 2.0 / Fast accept multimodal image/video/audio references and send audio references as
reference_audio_urlsfor lip-sync / performance timing; the composer labels generic references asREF 1,REF 2, ... so prompts can refer to them explicitly - Seedance 2.0 standard and Fast cannot combine strict
first_frame_url/last_frame_urlwith multimodal references in the same Kie.ai request, so IN / OUT cards are converted to image references when REF media is present. Audio references are passed separately as input drivers throughreference_audio_urls; adding one to Seedance automatically enables theSoundtoggle so the Kie.ai request also sendsgenerate_audio: true. Audio-only Seedance references are blocked locally because Seedance requires audio references to be paired with at least one image or video anchor. - Suno Music and Suno Sounds are separate Music-category targets. Suno Music keeps the lyrics/style/negative-tags controls; Suno Sounds uses the normal prompt box plus the mode button for one-shot/loop sounds. Both run through hosted Cloud credits from the Media generator tray.
- The wand button in the composer refines the current prompt with GPT 5.6 Luna through the hosted Kie.ai route. It requires hosted access and has no direct-key fallback. The Original and Magic prompt boxes expand on focus for full reading/editing, and the Original text remains selectable for copying. The Magic prompt opens at full height briefly after refinement, then collapses to a compact scrollable height so the Generate controls stay anchored. Suno Music, Suno Sounds, Nano Banana, GPT Image, Flux, Flux Kontext, Recraft/Topaz utilities, Seedream, Imagen, Kling, Seedance, Veo, and Runway targets use model-specific guidance so the refined prompt follows the selected model's input style and constraints.
- The collapsed Media tray shows separate
ChatandGeneratelaunch buttons.Chatopens a compact hosted-chat prompt window with model selection, reasoning effort for supported GPT models, a visible per-round credit estimate, a prompt-history view, and a temperature slider when the selected model accepts temperature. The selected hosted model survives minimize/reopen, app restart, and HMR remount. - Compact chat requests include the fixed Media-chat prompt, current timeline summary, and callable editor tools. After a hosted-agent tool batch changes the timeline, the editor automatically captures one current preview frame and returns it as a validated multimodal tool result; explicit
getFramesAtTimesremains available for comparing 3-8 moments. For visual questions and content-aware edits such as funny, highlight, storytelling, or scene-based cuts, captured frame grids are returned to the hosted provider as real multimodal image inputs instead of being reduced to text metadata. Transcript remixes convert source-word timestamps through the clip's placement, trim, speed, and reverse state, then continue fromsplitClipAtTimesthrough a fresh timeline read toreorderClipsin the same turn because the split creates the IDs needed for the final arrangement. Tool calls route through the shared dispatcher and approval policy. - Queued and running generations appear as Media Panel preview cards with output type, status, elapsed timer, prompt, metadata, and progress when the provider reports it. The tray can keep 100 local jobs active; hosted Kie.ai task starts are globally paced through a Cloudflare Durable Object at 19 starts per 10 seconds, so image, video, and Suno bursts share one provider-safe lane instead of producing 429s.
- The tray reuses the FlashBoard queue/import runtime without showing the full node canvas
| Backend | Where it is used | Notes |
|---|---|---|
Kie.ai |
Server-side provider behind hosted FlashBoard media, compact chat, prompt refinement, and AI node authoring | Browser requests enter authenticated MasterSelects Cloud routes; the provider key never enters client settings or storage |
MasterSelects Cloud |
FlashBoard production and hosted development | Hosted credits/account flow; server secrets only. Managed Kie.ai editor chat enters the private kernel through /api/kernel/hosted-agent/*; media remains on /api/ai/video, while speech, transcription, and music keep their hosted routes. |
ElevenLabs |
Hosted FlashBoard speech generation | The provider credential stays in the hosted service; browser requests use MasterSelects Cloud credits |
Suno |
FlashBoard music and sound generation | Suno Music and Suno Sounds use the hosted Cloud path from the Media generator tray |
OpenAI |
Hosted moderation and transcription | Generative chat, prompt refinement, and AI node authoring use hosted Kie.ai routes |
Hosted AI behavior:
- Hosted AI is server-secret-only. Browser-supplied provider credentials are rejected.
- The Media generator tray routes supported media through MasterSelects Cloud.
- Cloud media pricing is shown in the Account dialog's scrollable price view only as MasterSelects Cloud credits. Its Change Plan action opens the full plan selector. Hosted Kie.ai media uses a
6xvendor-credit conversion for margin after VAT, Stripe, and FX. - Hosted compact chat charges by model round and allows each hosted model round to run for up to 180 seconds. If a tool call requires another hosted model follow-up, that follow-up request is charged separately; local tool execution itself is not a separate hosted charge unless the tool calls another hosted media route.
- Image generation providers implement the shared FlashBoard image-provider adapter, so adding another async image service is a catalog entry plus a provider adapter instead of another hardcoded job-service branch.
- ElevenLabs-only access opens the composer on the audio text-to-speech target.
- Service/provider labels in the tray reflect the active backend.
- Hosted ElevenLabs and Suno credentials stay server-side. Both charge logged-in users by hosted credits.
- FlashBoard generated media imports under
AI Gen / Video,AI Gen / Images, orAI Gen / Audio - Video/image clips are placed on video tracks; generated ElevenLabs speech and Suno music behave like normal imported audio and route to an audio track
The panel combines two different mask sources:
- SAM 2 runs locally in the browser for interactive segmentation and frame propagation
- Paint is a browser-only fallback that does not require a model download
- MatAnyone2 is a separate native-helper-backed video matting step that consumes either mask source and produces a transparent foreground video plus an alpha sidecar
SAM 2 inference runs locally in the browser using ONNX Runtime with WebGPU acceleration. No API keys or cloud services are involved.
- Tab in dock panels alongside AI Chat and Scene Description
- View menu -> AI Segment
On first use, the panel prompts for a one-time model download:
- Model: SAM 2 Hiera Small (fp16 encoder + ONNX decoder)
- Total size: about 103 MB
- Storage: Cached in the browser's Origin Private File System (OPFS)
- Progress: Download progress bar shown in the panel
- After download, the model auto-loads into ONNX sessions
| Status | Description |
|---|---|
| Not Downloaded | Panel shows download prompt |
| Downloading | Progress bar with percentage |
| Downloaded | Cached in OPFS, auto-loading |
| Loading | Creating ONNX inference sessions |
| Ready | Green status dot, ready for segmentation |
| Error | Red status dot with error message and retry button |
Once SAM 2 is ready and a clip is selected:
- Activate segmentation mode
- Left-click to place foreground points
- Right-click to place background points
- Each point triggers an immediate decode pass
- Points are listed in the panel and can be removed individually
The Auto-Detect button places a center point and runs a full encode + decode cycle for a quick initial mask.
Paint mode is the simpler browser-local alternative:
- Works without SAM 2 or a model download
- Uses a dedicated canvas overlay on top of the preview
- Supports brush size and eraser mode
- Produces the mask blob that MatAnyone2 consumes in step 2
When SAM 2 is active, the preview overlay shows:
- A semi-transparent blue mask visualization
- Green foreground and red background points
- A processing indicator while inference runs
- A crosshair cursor for point placement
| Setting | Range | Description |
|---|---|---|
| Opacity | 0-100% | Transparency of the mask overlay |
| Feather | 0-50px | Edge softness of the mask |
| Invert Mask | On/Off | Swap foreground and background regions |
After creating a mask on the current frame, SAM 2 can propagate it forward:
- Forward propagates the mask up to 150 frames
- Progress bar and percentage are shown during propagation
- Stop cancels propagation at any time
- Each propagated frame is RLE-compressed and stored efficiently in memory
MatAnyone2 is the second step in the workflow:
- Requires the Native Helper to be connected
- Runs only on an accessible NVIDIA CUDA GPU; setup and server start fail closed instead of falling back to CPU
- Uses either the painted mask or the SAM 2 live mask
- Converts composition-space paint/SAM2 masks back into raw source space, including source crop, aspect, scale, position, and 2D/3D rotation
- Starts on the exact source frame where the mask was created and renders only the remaining selected source range
- Preserves constant clip speed and aligns the imported result to the corresponding timeline time; reverse and variable-speed clips request a bake instead of producing a silently misaligned matte
- Writes the job mask and native-helper output into a project-local
MatAnyone2/folder - Encodes a real alpha plane in VP9/WebM; the separate alpha WebM remains a diagnostic/interop sidecar
- Imports the transparent foreground into Media Pool
AI Gen / Matting - Copies imported outputs into project
Raw/MatAnyone2/...so generated mattes survive reloads and project moves - Places the transparent foreground on a new video track aligned to the mask frame when using
Import to Timeline - Exposes progress, job state, and hard cancellation; cancel stops the MatAnyone2 sidecar process tree and returns the stage to installed/not-running
- Shows a helper-unavailable state when the Native Helper is not connected
The helper installs a tested MatAnyone2 upstream revision rather than an unpinned branch head. Setup repairs stale installs, honors an explicitly configured Python interpreter, drains sidecar output continuously, and waits for real health instead of trusting cached process state.
MatAnyone2 is distributed under the NTU S-Lab License 1.0. The setup UI surfaces its non-commercial-use terms; commercial use requires separate permission from the authors.
1. Open AI Segment panel
2. Choose Paint or SAM2 as the mask source
3. Download SAM 2 only if you want the browser segmentation path
4. Select a video clip in the timeline
5. Create or refine the mask
6. Start MatAnyone2 through the Native Helper
7. Import or inspect the generated matte result
8. Clear All to reset and start over
Timeline audio and video clips with audible audio expose Music to MIDI... next to Stem Separation.... The action renders the processed audible clip range, stages a temporary WAV through the Native Helper, transcribes it with a persistent local MuScriptor model, maps instrument groups to General MIDI, and commits all generated tracks/clips as one undo step.
MuScriptor is not a stem separator: it emits editable note timing, pitch, and instrument classes. The runtime and model cache are isolated from MatAnyone2. Published model weights are gated under CC BY-NC 4.0, so setup presents the license requirement and uses a transient user-supplied HuggingFace token only for the selected model download.
See MuScriptor Music-to-MIDI for the complete runtime, mapping, license, and troubleshooting details.
The exported registry holds 176 tool definitions. Hosted chat uses
the policy-eligible definitions, prioritized and capped at 128; the dev bridge
can additionally reach explicitly registered diagnostics-only tools.
tests/unit/aiToolRegistryParity.test.ts checks coverage; non-chat asymmetries are explicit.
The exported tool groups are:
- Timeline state and selection
- Clip editing
- Track tools
- Visual capture and preview
- Analysis and transcript
- Media panel and local files
- Batch operations
- YouTube and downloads
- Transform
- Effects
- Keyframes
- Playback
- Transitions
- Masks
- Stats and debug
- Node Workspace
- Motion Design shapes, ordered appearances, gradients, and Grid Replicator
The chat and bridge code call the shared dispatcher, so the same registry is used in-chat, through the Vite dev bridge, and through the Native Helper bridge. Approval behavior is enforced in the chat UI before execution, while the dispatcher policy is the actual execution gate.
getMotionCapabilitiesreports only renderer-backed primitives, appearances, blend modes, limits, and optional clip-specific property descriptors.getMotionDesignreturns the full editable Motion definition, ordered appearances, stable appearance/gradient-stop ids, and effective Grid state.createMotionShapeClipcreates rectangle, ellipse, polygon, or star clips with their primitive-specific dimensions.updateMotionAppearancesretains its compact primary fill/stroke patch and also accepts atomic add, update, remove, move, duplicate, and visibility operations for ordered fills, strokes, and linear/radial gradients.updateMotionPropertiesanimates registry-backed shape, appearance, gradient, and Grid values;configureMotionReplicatorowns the bounded Grid shortcut.
executeBatchgroups multiple actions under one undo point and shares a single visual stagger budget.- A batch action can consume data returned by a successful earlier action with
{"$batchResult":{"action":0,"path":"clipId"}}. References are backward-only, resolve recursively inside argument objects/arrays, reject missing or unsafe paths, and make create-then-edit constructions possible without model-invented ids. - Several clip tools default
withLinked: true, so linked audio/video companions move, split, or delete together unless the caller opts out. addMaskPathKeyframestores fullmask.{maskId}.pathsnapshots, preserving vertex IDs so individual mask vertices can animate between keyframed shapes.- Local filesystem tools such as
importLocalFilesandlistLocalDirectoryrun through the dev bridge in development or the Native Helper in production, and they still respect the file-access policy/allowed-root checks.
startClipAudioIntelligencestarts background VAD, transcript alignment, speech-marker, prosody, and room-tone analysis. Its optionalfeatureslist runs a subset; otherwise all five stages run.getSpeechMarkersreturns bounded, pageable breaths, fillers, repetitions, false starts, and long pauses with source/timeline mappings and confidence.findSilentSectionsuses persisted voice activity first, live RMS second, and transcript gaps last. Every successful response includesdetectionSourceso an agent does not confuse model evidence with a fallback.- Speech-marker text exposed through
getTimelineAnalysisfollows the existingincludeTextredaction and explicit external-data consent. Marker kind, timing, confidence, and counts remain available without text.
See Audio Intelligence for artifacts, UI lanes, kernel evidence, and editing behavior.
When the AI executes tools, the UI gives feedback so the user can see what is happening.
| File | Purpose |
|---|---|
aiFeedback.ts |
Panel/tab switching, preview flashes, timeline marker animations |
executionState.ts |
Tracks whether an AI operation is active and manages stagger budget |
aiActionFeedbackSlice.ts |
Reactive state used by the UI for AI action feedback |
- A total budget is allocated per AI operation
- Visual delays share that budget so bulk actions feel deliberate
- Once the budget is exhausted, the remaining steps execute instantly
| Action | Visual Effect |
|---|---|
activateDockPanel() |
Switches to and focuses a dock tab |
openPropertiesTab() |
Opens a specific Properties tab |
selectClipAndOpenTab() |
Selects a clip and opens the relevant tab |
flashPreviewCanvas() |
Brief overlay flash on the preview |
animateMarker() |
Triggers a timeline marker animation |
animateKeyframe() |
Triggers a keyframe animation |
All feedback functions are guarded by isAIExecutionActive() so they only trigger during active AI tool execution.
Guided replay also renders semantic surface gestures. Custom mask creation and addMaskPathKeyframe resolve normalized vertices against the Preview panel, draw the path overlay, and animate the guided cursor through each vertex with click pulses before executing the semantic tool. Timeline edit tool calls are adapted into TimelineEditOperation replay descriptors, so compound split tools like splitClipEvenly derive their cursor path from the live clip timing and visit each generated cut point before the semantic tool executes. Media placement tool calls use the same pattern: addClipSegment animates a Media item into the Timeline with the real drop preview, while importLocalFiles({ addToTimeline: true }) and downloadAndImportVideo move the guided cursor from Media/Downloads to the target Timeline time.
External agents can execute reviewed editor tools only in a local development session. The agent/model runtime is self-hosted and connects through the MCP adapter; MasterSelects does not bundle a second model harness.
In development, the Vite dev server proxies tool calls through HMR:
POST /api/ai-tools -> Vite server -> HMR WebSocket -> browser -> executeAITool() -> HMR -> HTTP response
- Implemented in
src/services/aiTools/bridge.ts - Uses
executeAITool(..., 'devBridge')so the caller context is explicit - Sends presence heartbeats and tab-targeting metadata through HMR
- Supports
_listand_statusmeta-commands alongside tool execution - Shares the dev bridge auth token and only accepts loopback browser origins
GET /api/ai-toolsreports bridge/tab status without auth;GET /api/ai-tools/auth-checkvalidates the bearer token without dispatching a browser tool- Dev-only browser helpers expose the same surface as
window.aiTools.execute(),window.aiTools.list(), andwindow.aiTools.status() npm run mcpexposes the reviewed tool set to a local MCP client with explicit confirm/dry-run, idempotency, and timeout controls- Production builds and the Native Helper do not expose an external-agent tool bridge
Hosted /api/ai/chat, /api/ai/video, and hosted generation paths in /api/ai/audio run a server-side OpenAI omni-moderation-latest preflight before provider calls. Flagged requests and moderation failures are blocked before credits are spent or provider jobs are created.
Async hosted media jobs that fail during provider status processing refund their original hosted credit charge once, update the failed usage event to zero credits, refresh the account balance, and show the user a failure dialog with the refunded credit amount and job ID.
Hosted AI requests are also logged best-effort into D1:
- Chat completions are recorded in
chat_logswith model, request/response payloads, tool calls, token counts, credit cost, duration, and error state - Chat, image/video generation, Suno, and ElevenLabs speech requests are recorded in
ai_audit_events - Audit fields include user ID, request ID, idempotency key, feature, provider, model, prompt/request payload, moderation status/categories, task ID when available, credit cost, status/error, user agent, and a salted IP hash
- Hosted AI routes reject browser-supplied provider credentials; there is no BYO provider-key path
Authenticated users can inspect that history through:
GET /api/ai/chat-historyGET /api/ai/chat-history?id=<log-id>
- Uses
@huggingface/transformers - Model selection is language-dependent:
Xenova/whisper-base.enfor English andXenova/whisper-basefor auto/multilingual - No API key needed
- Dynamically imported on first use
Endpoint: /v1/audio/transcriptions
Model: whisper-1
Format: verbose_json
Granularity: word
- Signed-in accounts can choose hosted OpenAI Whisper or Deepgram through MasterSelects credits. OpenAI costs 6 credits per minute and Deepgram costs 13 credits per minute; both are rounded up to the next whole credit.
- On the plain Vite dev server, if the hosted
/api/ai/audioroute is not available, clip transcription falls back to the configured provider, or to local Whisper when no BYO provider key is configured. - Backend-free dev-login mocks do not enable hosted AI; local hosted-AI testing
with
.dev.varsor environment secrets requiresnpm run dev:fullornpm run dev:apibesidenpm run dev. - Signed-out users can still use the configured local/BYO transcription provider selection.
- Timeline clip context menus show the active transcription provider in the
Transcribe (...)label so the current model path is visible before work starts, and includeTranscription Settings...directly below it for one-click provider changes from the editing workflow.
Upload: /v2/upload
Transcribe: /v2/transcript
Features: Speaker diarization
Polling: 2-minute timeout
Endpoint: /v1/listen
Model: nova-3
Features: Smart formatting, word timestamps/confidence, automatic language detection, speaker diarization v2
- Signed-in Deepgram requests use the Cloudflare
DEEPGRAM_API_KEYsecret and the Nova-3 model, so the key never reaches the browser. Signed-out BYO requests use the same Nova-3 quality settings with the locally stored key. - Both paths request
diarize_model=latest, currently Deepgram's v2 batch diarizer, which enables diarization by itself, plus utterance detection. Per-word speaker labels, transcription confidence, speaker confidence, and source-relative word timestamps are retained in the MasterSelects transcript. An explicitly selected language is sent as a language hint;autoenables Deepgram language detection.
Best Quality extracts each audio range once and runs Deepgram Nova-3 and OpenAI
gpt-4o-transcribe-diarize in parallel. Provider ownership is fixed and fully
deterministic:
- Deepgram owns the exact transcript text, word timestamps, punctuation, and per-word confidence. OpenAI text never replaces or challenges a Deepgram word.
- OpenAI owns the speaker partition. Its timestamped diarized segments are
projected onto Deepgram words by word-center time, and speaker labels are
canonicalized by first appearance (
Speaker 1,Speaker 2, ...). - If OpenAI diarization is unavailable, the completed Deepgram speaker labels remain as the fallback.
There is no provider-disagreement queue, red conflict state, or transcript review agent in this mode. The result is ready automatically when both provider responses have been combined. Project transcript artifacts retain both raw provider runs and deterministic speaker-assignment patches for provenance, but the displayed words stay purely Deepgram.
Signed-out Best Quality use requires both Deepgram and OpenAI keys. Signed-in use routes both transcription requests through hosted credits; Kie.ai is not part of this pipeline. The live header shows Deepgram, OpenAI, and speaker application as three compact stages. One abort controller owns the complete run and is forwarded to direct provider fetches and hosted Cloudflare requests. Cancelling restores the pre-run transcript/artifact snapshot and prevents late responses from overwriting a newer run.
AI Scene Description is available for selected video clips in the Scene
Description panel and the Properties analysis tab. It uses the local
Qwen3-VL Python server at http://localhost:5555, not a hosted chat provider.
The service analyzes the selected source range, stores scene segments with the
project's media artifacts when a project is open, and supports cancellation and
clearing descriptions.
Settings dialog -> Integrations supports only the optional YouTube Data API v3 key.
Hosted cloud access for chat/video does not use a user-entered API key in the desktop settings panel. It comes from the signed-in hosted account and credit balance. Kie.ai is server-managed only.
- SAM 2 AI Segmentation runs entirely in the browser
- MatAnyone2 video matting and MuScriptor music-to-MIDI run locally through isolated Native Helper sidecars
- Local Whisper transcription runs in-browser
The optional YouTube key is stored encrypted in IndexedDB via Web Crypto API. AI provider credentials are not stored in the browser or project. SAM 2 model files are stored in OPFS. MatAnyone2 and MuScriptor runtime state and model files live in isolated Native Helper provider directories. MuScriptor's gated HuggingFace token is deliberately transient.
- Encryption at rest protects against casual inspection, not same-origin scripts or browser extensions
- Project files contain no AI provider-key sidecar
- Log output is redacted before buffering and before being exposed via the AI tool bridge
- Development agent-control calls are loopback-only and tokened; the Native Helper does not forward editor tools
See Security for the full security model.
"Move the selected clip to track 2"
"Trim the clip to just the talking parts"
"Remove all segments where motion > 0.7"
"Create a rough cut keeping only focused shots"
"Split at all the 'um' and 'uh' moments"
"Add a cross dissolve transition between all clips"
"Set opacity to 50% on the selected clip"
- Make AI edit
- Preview result
- Undo if needed
- Refine prompt
- Repeat
- Timeline - Editing interface
- Audio - Manual Timeline audio sync
- Media Panel - Organization
- Keyboard Shortcuts
Tool definition integrity is covered by the unit tests in tests/unit/aiToolDefinitions.test.ts.
Source: src/main.tsx, src/components/panels/media/MediaAIGenerativeTray.tsx, src/components/panels/flashboard/FlashBoardComposer.tsx, src/components/panels/SAM2Panel.tsx, src/components/panels/SceneDescriptionPanel.tsx, src/components/preview/SAM2Overlay.tsx, src/services/sam2/SAM2Service.ts, src/services/sam2/SAM2ModelManager.ts, src/services/sam2/sam2Worker.ts, src/stores/sam2Store.ts, src/services/aiTools/, src/services/aiTools/aiFeedback.ts, src/services/aiTools/executionState.ts, src/services/aiTools/bridge.ts, src/services/sceneDescriber.ts, src/services/cloudAiService.ts, src/services/flashboard/, functions/api/ai/chat.ts, functions/api/ai/chat-history.ts, functions/lib/chatLog.ts