* feat(studio,cli): per-frame board comments, self-refreshing storyboard, status-aware preview landing Per-frame comment boxes on the storyboard board batch into .hyperframes/frame-comments.json (a resubmit wins per frame; unconsumed comments on other frames are kept). Submitted-but-unconsumed comments stay visible — a toolbar banner plus a per-tile echo — until the agent consumes the file; the banner also says what to do next (reply anything in the agent chat). The board keeps itself current: GET /projects/:id/signature exposes the watcher-cached project signature, the storyboard payload carries the signature it was derived from, and the view polls at 2s (hidden tabs skipped, re-checked on visibility), refetching in place with no loading flash. Posters bake the signature into their URL so tiles fill in as sketches land and a poster that failed mid-write retries on the next version; the empty state upgrades itself when STORYBOARD.md appears, and its handoff prompt now points the agent at the review loop and uses the parser's real status vocabulary (outline, not planned). preview lands the browser on the storyboard view while the board is the review surface — any frame built, or pure planning (srcs declared, none on disk yet) — and on the timeline once the video is assembled. * feat(skills): the review loop — plan, sketch, build as one shared process hyperframes-core/references/review-loop.md is the single source for the three-pass collaborative review: the plan proposed on a live board (§ 1), wireframe sketches marked built with one layout question (§ 2 — real words on plain blocks, run no CLI; a confirmed board is itself a valid deliverable when the user asked for a storyboard, not a video), the build dressing confirmed layouts (§ 3, worker or inline), and the final look (§ 4). Autonomous runs skip every gate and keep one question before render. The three narrative workflows' Steps 3/4/6 collapse to references plus their sketch stand-ins (captured-asset blocks for product-launch-video, plain code panels for pr-to-video); the confirmed-sketch handoff stays in each frame-worker prompt. general-video plans on a board for multi-scene narrative pieces in collaborative mode — its sketch pass is layout-before-animation with the user watching. The router treats "I want a storyboard" as a process request rather than a route, and closes exploratory intake by recommending a route plus how the run will review. The supporting contracts land next door: the comments channel (silent submit, one reply picks it up, check the file before the words) in brief-contract § 1; the sidecar schema and the built status rung in storyboard-format; the mode question asked first and alone in the three workflows' Step 0. * feat(media-use): user memory — remembered preferences and frozen recipes Two tiers of memory on media-use's existing two-tier storage split. Preferences (lightweight): confirmed brief answers — destination, aspect, language, mode, voice, style preset — recorded to the project's .media/preferences.json (committed, the team inherits it) and promoted to the personal ~/.media/preferences.json once the same value is confirmed in two different projects (a sightings ledger accumulates the cross-project evidence user-side, since project files can't see each other). prefs.mjs get/record; merge reads project-over-user; a changed value restarts its provenance. Recipes (heavyweight): one approved run frozen as a named, versioned bundle — frame.md, the storyboard skeleton (structure kept: durations, transitions, srcs, Video direction; statuses reset to outline; content blanked to per-frame fill-ins naming the beat's role), and the confirmed brief values. Named folders, not content hashes: re-freezing bumps version and archives <name>@v<N>; a freeze is already confirmed, so it promotes to the user tier immediately. recipe.mjs freeze/list/use, plus resolve --type recipe --entity <name> delegating like grade/lut. 16 new node --test cases; the media-use lib suite is 168/168. * feat(skills): wire user memory into the brief and the review loop brief-contract § 2 gains Remembered defaults: read the merged preferences before Round 2 and let a remembered value become the recommended option with a receipt naming its source project. Memory changes the default, never the question — every ask-marked field still gets asked, and what the request says this time beats what was picked last time. Record only what the user actually confirmed (a defaulted voice nobody chose is not an answer; a "go" that accepts the recommended defaults is). The first record announces itself once; after that the receipts carry the reminder. In autonomous mode a remembered value becomes the decided value, receipt included. The three narrative workflows read the remembered defaults before Round 2, record the confirmed answers at the Step 0 gate, record the chosen preset at the Step 2 gate (pr-to-video excepted — its preset is fixed), and fall back to the remembered voice when the request names none. general-video's discovery reads the same defaults. Recipes wire in at both ends: Step 0 checks for a matching recipe before the mode question — one question, plural-aware, and adopting one fills the brief, skips the design step, and drafts the storyboard from the frozen skeleton while every review gate still runs. The review loop's final look (§ 4) offers the freeze once after approval, and the confirmation teaches the recall phrase — the name is something the system reminds the user of, never something they must remember. The router recognizes a named recipe or "like last time" as a route. * docs(skills): the sketch pass names check, not the deprecated validate * feat(skills): intent-layer references — process, route briefs, capability menu, BRIEF.md format * feat(media-use): brief skeleton as the recipe's fourth artifact; flow/storyboard preference keys * feat(skills): the intent layer conducts every brief — workflows execute BRIEF.md * feat(skills): retire the mode preference key; sync catalog surfaces for intent layer * refactor(skills): dedupe router vs intent-layer guidance — one owner per rule * feat(skills): the design ask — own spec, pick by eye from showcases, or defer * docs(skills): the design ask says the honest line on capture routes * feat(skills): product-launch-video absorbs website-to-video as the tour angle * refactor(skills): keep product-launch-video pristine — a tour is brief intent, not a pipeline branch * feat(skills): production loop + genre lenses; general-video goes freeform (route yours, laws hold) * refactor(skills): /hyperframes is the front door - route tables and scope lists leave the workflows * docs(skills): review-loop pass across skill catalog * fix(cli): pass project dir to openStudioBrowser in background-server path * feat(skills): add pitch-round reference - verbalized sampling concept gate * feat(skills): wire pitch round into intent layer - completeness triage + route eligibility * feat(skills): editorial capability recommendations, handoff disciplines, menu-probe split * feat(skills): pitches carry their machinery; source-only-formed requests pitch the telling * feat(skills): companion goes director - ceiling treatment plus blueprint/rule citation discipline * fix(scripts): sandbox npx-leak guard - private npm global prefix keeps npx on the branch CLI * chore(skills): resync manifest hash after formatter pass reflowed general-video tables * fix(skills): recipe freeze reads workflow from BRIEF.md; style_preset records require workflow scope Two holes found by a live companion-run freeze: the agent-supplied --workflow contradicted the run's actual workflow (recipe.json said faceless-explainer, brief-skeleton said general-video), and the style_preset lookup missed because the preference had been recorded under the bare key. - freezeRecipe resolves the workflow from BRIEF.md frontmatter; the flag is a fallback for briefless projects and a contradicting flag is ignored (noted). - recordPreference refuses a bare style_preset — the scoped key is the only writable shape; freeze tolerates legacy bare records via read fallback. - review-loop § 4 / media-use SKILL / brief-format wording follow the machinery.
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Lambda rendering on AWS
Use hyperframes lambda when the user explicitly wants self-managed AWS infrastructure or needs distributed rendering. It wraps @hyperframes/aws-lambda and AWS SAM.
Contents
- Choose Lambda or local rendering
- Prerequisites
- Deploy
- Upload a reusable site
- Render one composition
- Render a JSONL batch
- Inspect progress
- Destroy the stack
- IAM policies
- State, cost, and cleanup
The basic lifecycle is:
npx hyperframes lambda deploy
npx hyperframes lambda render ./my-project --width 1920 --height 1080 --wait
npx hyperframes lambda destroy
Choose Lambda or local rendering
- Local
render— dev-loop iteration, single host, anything under a few minutes at 1080p. lambda render— long videos, 4K, large parallel batches, or anything where local Chrome would time out / exhaust RAM. Pay-per-invocation, no idle cost.
For one-off short renders Lambda is not worth the deploy overhead.
Prerequisites
- AWS credentials configured (env vars,
~/.aws/credentials, SSO, or IMDS). - AWS SAM CLI on
PATH. bunonPATH(builds the Lambda handler ZIP).
Deploy
npx hyperframes lambda deploy \
--stack-name=hyperframes-prod \
--region=us-east-1 \
--concurrency=8 \
--memory=10240
Builds packages/aws-lambda/dist/handler.zip and SAM-deploys the stack (Lambda + Step Functions + S3 + IAM). Idempotent — re-running on the same --stack-name is a no-op when nothing changed. Writes <cwd>/.hyperframes/lambda-stack-<name>.json so later subcommands don't need to call describe-stacks.
| Flag | Default | Description |
|---|---|---|
--stack-name |
hyperframes-default |
CloudFormation stack name |
--region |
AWS_REGION env or us-east-1 |
AWS region |
--profile |
AWS_PROFILE env |
Named AWS credentials profile |
--concurrency |
8 |
Lambda reserved concurrency |
--chrome-source |
sparticuz |
sparticuz or chrome-headless-shell |
--memory |
10240 |
Lambda memory in MB |
--skip-build |
off | Reuse existing handler.zip |
Upload a reusable site
npx hyperframes lambda sites create ./my-project
# → siteId: abc1234deadbeef0 (stable across re-runs of the same tree)
npx hyperframes lambda render ./my-project --site-id=abc1234deadbeef0 ...
Tars + uploads <projectDir> to S3 with a content-addressed key. Returns a stable siteId you can reuse — re-renders of the same tree skip the upload.
Render one composition
npx hyperframes lambda render ./my-project \
--width 1920 --height 1080 --fps 30 --format mp4 \
--chunk-size 240 --max-parallel-chunks 16 \
--wait
Starts a Step Functions execution. Returns immediately with a renderId unless --wait is set, in which case the CLI blocks until completion and streams per-chunk progress lines. Add --json for machine-parseable output.
| Flag | Description |
|---|---|
--width / --height |
Output dimensions in pixels |
--output-resolution |
Supersampling preset (engages Chrome deviceScaleFactor) — landscape / landscape-4k / portrait / portrait-4k / square / square-4k, plus aliases (1080p, 4k, uhd, hd, 1080p-portrait, 4k-portrait, 1080p-square, 4k-square). Use this to render an authored-at-1080p composition at 4K without re-laying-out — see footgun below. |
--fps |
24 / 30 / 60 |
--format |
mp4 / mov / png-sequence / webm (default mp4) |
--codec |
h264 / h265 (mp4 only) |
--quality |
draft / standard / high |
--chunk-size |
Frames per chunk (default 240) |
--max-parallel-chunks |
Max concurrent chunks (default 16) |
--target-chunk-frames |
Cap frames per chunk and let the planner add chunks up to the parallel limit |
--site-id |
Reuse an existing site (skip upload) |
--execution-name |
Explicit Step Functions execution name |
--output-key |
Explicit final S3 object key |
--variables |
Inline JSON object with composition variable values |
--variables-file |
JSON file containing one composition variable object |
--strict-variables |
Fail when supplied variables are undeclared or have the wrong type |
--wait |
Block until completion, stream progress |
--wait-interval-ms |
Poll cadence while waiting (default 5000) |
--json |
Machine-parseable progress snapshot |
--width / --height footgun. Setting --width 3840 --height 2160 against a composition whose data-width="1920" silently produces 1080p — the runtime lays out the page at the composition's authored dimensions and the CLI flags are ignored for layout. To actually output at 4K, use --output-resolution 4k (supersamples via deviceScaleFactor). The CLI now prints a warning when CLI dimensions disagree with the composition's data-width / data-height and --output-resolution is not set; the warning is suppressed when --json is on or index.html isn't on disk (--site-id flows).
For variable-driven templates, declare the schema in the composition and pass either --variables or --variables-file, never both. --strict-variables checks local project input before any render starts. Also read variables-and-media.md.
Render a JSONL batch
Use render-batch to upload one template once and start one Step Functions execution per nonblank JSONL line:
npx hyperframes lambda render-batch ./template \
--batch ./users.jsonl \
--width 1920 --height 1080 \
--max-concurrent 10 \
--strict-variables \
--json
Each line must be an object with a non-empty outputKey. Choose unique keys to prevent outputs from overwriting one another. variables and executionName are optional:
{
"outputKey": "renders/alice.mp4",
"variables": { "name": "Alice" },
"executionName": "alice-video"
}
Batch rules:
- The project is uploaded once unless
--site-idreuses an earlier upload. --max-concurrentdefaults to50and limits in-flight render executions.--max-parallel-chunksseparately limits chunks inside each render.--strict-variableschecks every entry, reports all variable issues, and aborts before AWS calls.--dry-runperforms no upload or AWS render call. Every manifest row becomeswould-invoke.- The emitted manifest preserves input order and records
inputLine,outputKey,executionArn, andstatus(started,would-invoke, orfailed-to-start), plus an error when applicable. - A per-entry start failure does not hide other rows. Human-output mode exits nonzero when a row fails to start. In
--jsonmode the current CLI prints the manifest and exits zero, so gate on every row'sstatus, not the process code alone. Dispatch success is not render completion; inspect each execution withprogress.
Inspect progress
npx hyperframes lambda progress hf-render-abcd1234
npx hyperframes lambda progress arn:aws:states:us-east-1:...:execution:...
Prints one snapshot — overall percent, frames rendered, Lambda invocations, accrued cost, and any errors. Accepts a bare renderId (resolved against the stack's state-machine ARN) or a full SFN execution ARN.
Destroy the stack
npx hyperframes lambda destroy
Calls sam delete --no-prompts and drops the local state file. The render S3 bucket is configured Retain so it survives stack destruction — empty + delete it via the AWS console / CLI if you want the storage back.
Non-retryable errors
A subset of failures the Step Functions state machine short-circuits instead of running through its 4× 15-min retry budget. progress surfaces these immediately with the error class name; do not re-issue lambda render blindly when you see one.
ChromeBinaryUnavailableError—@sparticuz/chromiumreturned an empty/missing executable path. A prior chunk hitSandbox.Timedoutmid-extraction and the warm instance is wedged until the execution environment recycles. Remedy: bump a Lambda env var (forces a new exec env) orlambda deployagain. Not a transient render failure; retries will burn budget on the same wedged instance.FFMPEG_VERSION_MISMATCH/PLAN_HASH_MISMATCH— planner / executor version drift. Re-deploy.
IAM policies
Print or validate the minimum IAM permissions the CLI needs.
npx hyperframes lambda policies user # inline policy for an IAM user
npx hyperframes lambda policies role # { TrustRelationship, InlinePolicy }
npx hyperframes lambda policies validate ./infra/iam/hf-deploy.json # CI gate
validate reads a JSON policy doc and checks the union of its Effect: Allow actions (expanding s3:* / s3:Get* / * wildcards) against the CLI's required action set. Missing actions print to stderr; the command exits non-zero. Wire it into CI to catch policy drift before the next deploy fails.
The default action set is deliberately broad (Resource: "*") because CloudFormation creates new ARNs on every adopter's first deploy. Tighten Resource after that first run if security posture requires it.
State, cost, and cleanup
hyperframes lambda stores per-stack metadata under <cwd>/.hyperframes/lambda-stack-<name>.json (bucket name, state-machine ARN, region). Not secret, but AWS-account-identifying. Commit it to a repo or .gitignore it per your workflow.
lambda destroyremoves the SAM stack but leaves the S3 bucket (Retain). Delete it manually if you want the storage back.- Lambda billing is per-invocation + duration.
progressreports the accrued cost. --concurrencycaps parallel Lambda invocations — keep it aligned with your account quota.--chunk-sizeand--max-parallel-chunkstrade off per-chunk overhead against parallelism; larger chunks reduce coordinator overhead, smaller chunks parallelize more aggressively.