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@ikenga/pkg-studio

v0.5.0

Published

com.ikenga.studio app pkg — project sidecar (storyboard/render queue with fal.ai + Excalidraw renderer adapters), FFmpeg-backed exporter, prompt-package Track-B handoff, a 40-tool MCP server, and the full M-A production-desk iframe UI.

Readme

@ikenga/pkg-studio · com.ikenga.studio

The Studio video app for Ikenga — a composable, AI-augmented desktop workspace for music labels. Studio is the orchestration spine for short-form video: script → breakdown → references/characters/locations → storyboard → generation → stitch & edit.

What's in the box (0.2.0)

  • Project sidecar (sidecars/project/) — a JSON-RPC over stdio server backed by SQLite + a storyboard.json document. Owns the render queue, the adapter registry, archetype instantiation, anchors, assets, and FFmpeg export.
  • Renderer adaptershyperframes (HTML→video), excalidraw, and fal (network AI stills/video via @fal-ai/client, Track A). Remotion remains a P2 slot.
  • MCP server (mcp/) — a ~40-tool Model Context Protocol server that exposes the sidecar to an AI agent (or the shell's Chi). Every meaningful operation is an MCP verb, so the board is drivable 100% over MCP.
  • Track-B handoff — for generators with no API (Higgsfield, Google Flow, …), export.prompt_package emits a platform-shaped prompt bundle; the returned clip comes back via render.ingest_external.
  • iframe UI (src/studio/) — the M-A "production desk": Launcher, Canvas, Cell, Composition, Archetype builder, Cast & World, Breakdown, Ledger, Handoff. Built with React 19 + Vite, themed via @ikenga/tokens.

The fal.ai adapter

fal is the first network AI-generation engine. It drives a fal model from a cell's prompt (+ optional character/location/image anchor for image-to-video), streams queue updates as render.progress, and downloads the produced MP4. The credential is read from the vault key studio.fal (declared in manifest.json), with a FAL_KEY env fallback for headless / stdio-driven runs. No key is ever hardcoded.

Model ids are config (FAL_VIDEO_MODEL / FAL_IMAGE_MODEL, or per-cell metadata.fal_model), with documented defaults — verify them against https://fal.ai/models, they drift.

Install / develop

Studio ships as the com.ikenga.studio pkg. In an Ikenga dev checkout:

pnpm install                      # links @ikenga/studio-schema, @ikenga/tokens, …
bun run dev                       # vite dev (the iframe UI)
bun run build:sidecar             # build the JSON-RPC sidecar
bun run build:mcp                 # bundle the MCP server → mcp/dist/index.js
bun run typecheck                 # the real type gate (tsc, both configs)

Hot-mount into a running shell without a restart:

cd cli && bun run ./src/index.ts dev /path/to/this/pkg

Registry install caveat

ikenga add @ikenga/pkg-studio from the registry is not yet runnable as-is: the installer does not yet materialize the npm deps the sidecar needs at runtime (better-sqlite3, esbuild, …). Use the dev-mount path above for a working runtime today; the installer dep-materialization feature is the top CLI follow-up.

Cross-refs

  • Plan + history: plans/studio/ (workspace meta-repo)
  • Schema: @ikenga/studio-schema (the shared/ Zod schema, published as a workspace package)
  • Adapter contract: sidecars/project/src/renderers/types.ts