Files
hyperframes/skills/hyperframes-cli/references/lambda.md
WaterrrForever b9be0b2625 feat(skills,studio,media-use): the intent layer, review loop, and user memory — BRIEF.md, companion mode, recipes; /website-to-video folds into /product-launch-video (#2133)
* 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.
2026-07-15 21:19:14 +08:00

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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

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.
  • bun on PATH (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-id reuses an earlier upload.
  • --max-concurrent defaults to 50 and limits in-flight render executions. --max-parallel-chunks separately limits chunks inside each render.
  • --strict-variables checks every entry, reports all variable issues, and aborts before AWS calls.
  • --dry-run performs no upload or AWS render call. Every manifest row becomes would-invoke.
  • The emitted manifest preserves input order and records inputLine, outputKey, executionArn, and status (started, would-invoke, or failed-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 --json mode the current CLI prints the manifest and exits zero, so gate on every row's status, not the process code alone. Dispatch success is not render completion; inspect each execution with progress.

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/chromium returned an empty/missing executable path. A prior chunk hit Sandbox.Timedout mid-extraction and the warm instance is wedged until the execution environment recycles. Remedy: bump a Lambda env var (forces a new exec env) or lambda deploy again. 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 destroy removes the SAM stack but leaves the S3 bucket (Retain). Delete it manually if you want the storage back.
  • Lambda billing is per-invocation + duration. progress reports the accrued cost.
  • --concurrency caps parallel Lambda invocations — keep it aligned with your account quota.
  • --chunk-size and --max-parallel-chunks trade off per-chunk overhead against parallelism; larger chunks reduce coordinator overhead, smaller chunks parallelize more aggressively.