* feat(engine): encoders cap peak bitrate and place keyframes on a set interval
* style(engine): shorten the rate-cap comment
* style(engine): drop the doc lines the comment ratchet flagged
* feat(producer): mp4 renders honour a keyframe interval and a peak bitrate cap on every encoder path
* style(producer): shorten the delivery encoder file headers
* style(producer): drop a comment line from the segment manifest
* style(producer): shorten the integration test header
* test: delivery encoder tests follow the ffprobe argv contract and run in the integration lane
* feat: the render request, server and Lambda plan carry the keyframe interval and peak bitrate cap
* fix(studio): the Studio render route passes the keyframe interval and bitrate cap to the encoder
* chore(studio-server): drop a comment the helper's name already says
* feat(cli): render and lambda render take --keyframe-interval, --max-bitrate and --buffer-size
* perf(aws-lambda): a render reads a video's audio from a small file stored beside it
A video's audio is interleaved with its pictures, so mixing it from the cloud read the whole video (2.5 GB for a 20-minute 4K film) at the Lambda's network speed. lambda sites create now stores each large video's audio packets as a separate object keyed by the video's hash; the audio task reads that when it exists.
* chore(producer): shorten the audio sidecar header comment
* fix(aws-lambda): no audio sidecar for a video whose audio starts late or that has several tracks
* test(producer): format the audio sidecar tests and end their ffprobe options with --
* fix(aws-lambda): old stacks are refused before any upload; stale local copies never re-upload
* docs(aws-lambda): where the CLI keeps a deployed stack's state
* perf(producer): distributed chunks download only the videos they show
A project video under compiled/ that chunks extract their own frames from
now goes only to the chunks that show it, like video-sources/ files. A
chunk skips the readiness wait for a deferred video it does not show, so
it no longer logs media_load_failed for a file it was never given.
* fix(producer): cloud site uploads pack the files their id hashes, symlinks included
* perf(aws-lambda): chunks read only the byte ranges of a video they need
A chunk that extracts its own frames from a deferred project video now
reads it from S3 by byte range through a short-lived pre-signed URL,
instead of downloading and hashing the whole object first. S3 attests the
object's stored SHA-256 before the URL is signed; every other artifact is
still downloaded and verified as before.
* perf(aws-lambda): upload project files once to a shared content-addressed area
* chore(producer): keep planV2 comment share at the base level
* fix(engine): verify the TLS certificate of https video inputs and never surface their signed query
* fix(aws-lambda): renders re-upload a site's expired files instead of failing
* perf(aws-lambda): the plan step probes project videos in place instead of downloading them
* fix(engine): https video reads reconnect and time out, and redaction covers wrapped causes
Signed-URL reads now pass -rw_timeout, -reconnect and -reconnect_delay_max (both Lambda builds accept them) and ffmpeg also -reconnect_on_network_error, so a transient S3 error or a stalled read fails fast or recovers instead of waiting out the process timeout. Query redaction now descends into error.cause.
* fix(aws-lambda): share entry bundles and ratchet package budget
* fix(aws-lambda): site ids uploaded before files.json still render
A site id from an earlier sites create has only sites/<id>/project.tar.gz.
renderToLambda now falls back to that tarball, which the plan step still
reads, and when neither key exists it fails before starting with both keys
named and the fix (run sites create again).
* fix(aws-lambda): renders fail before upload on a stack too old to read sites
A stack deployed before files.json sites untars the site file in its plan
step and fails after four retries. renderToLambda now reads the state
machine definition first and stops with STACK_TOO_OLD and the redeploy
command when the plan task does not list SITE_MANIFEST_INVALID, which new
SAM and CDK stacks now treat as terminal. The README's upgrade section
drops the planProtocol v1 fallback, which hits the same failure.
* docs(aws-lambda): document shared content storage and the upgrade path
The deploy guide still described the tarball HeadObject short-circuit. It
now covers the cas/sha256/ store and its 30-day lifecycle rule, the
STACK_TOO_OLD, SITE_FILES_MISSING and SITE_NOT_FOUND errors, that old site
ids keep working, and that every project uploads once more after the
upgrade. A test keeps a troubleshooting entry for each pre-submit error.
* fix(producer): chunks log each video they read by URL, without its query
A chunk reading a video straight from the bucket left no trace in its log.
It now logs one line per remote source with the path and the URL minus its
query string, so signatures never reach the log.
* fix(engine): ffmpeg errors never keep part of a signed URL's query
A process's stderr tail was trimmed before its URLs were redacted, so a
cut inside a signed URL left a query fragment the URL pattern no longer
matched, and the fragment reached the error. The stderr tail is now
redacted before every trim, and the redactor also strips a signing
parameter cut off from its URL.
* fix(aws-lambda): comments name the site manifest instead of a file path
* fix(engine): stderr redaction survives chunk splits, and every ffmpeg spawn uses it
The stderr tail was redacted on each chunk and then cut, so once a cut
severed a long URL's scheme, the rest of its signature in the next chunk
matched neither pattern. The tail is now kept raw with 2x slack and
redacted only when the text is produced, then cut to size. The unused
producer audioExtractor (its own spawn, unredacted stderr) is deleted and
the parity harness's PCM decode goes through ManagedChildProcess; a test
fails on any ffmpeg/ffprobe spawn in engine, producer or aws-lambda that
does not.
* chore(producer): record the audioExtractor deletion as intended
* fix(engine): drop a signature fragment the stderr tail cut from its URL
The raw tail is kept at twice the cap, but that cut can itself land inside a
signature, and when redaction shrinks the rest below the cap the fragment
survived. After a cut, the severed token is dropped before redaction.
* refactor(engine): name the severed-token drop instead of commenting it
* test(engine): a cut-off URL leaves nothing behind; aws-lambda size budget to measured
* fix(producer): chunk URL-read tests use main's frame list; producer size budget to measured
* chore(producer): size budget at the measured size, no headroom
* chore(producer): size budget back to measured x1.05, the check's own rule
* fix(cli): catalog loads registry items a few at a time so a slow link no longer times them out
* chore(cli): keep the moved concurrency helper's doc to one line
* chore(cli): wrap the concurrency helper's doc under the line limit
The integer rates Lambda and Cloud Run accept were written out by hand in
about 25 places across core, engine, producer, the adapters and the CLI.
They now come from DISTRIBUTED_FPS / DistributedFps / isDistributedFps in
@hyperframes/core. Engine config snapshots accept 25 like the rest.
Lambda and Cloud Run renders refused 25 fps although it is an integer
rate like 24, 30 and 60, and PAL footage is 25 fps. The distributed fps
set is now {24, 25, 30, 60} in the producer's config validation, the
plan v2 manifest, the render request mapping, the Lambda and Cloud Run
event types, the CLI's lambda and cloudrun commands and the regression
harnesses.
Co-authored-by: Cursor <cursoragent@cursor.com>
Addresses R2 CHANGES_REQUESTED from Miga + Rames on PR #2529:
1. Sibling-surface gap (blocker): `hyperframes cloudrun render{,-batch}`,
`hyperframes lambda render{,-batch}` all advertised the same tier-only
aliases (`1080p` / `hd` / `4k` / `uhd`) but normalized them to `landscape`
and never set `outputResolutionAspectAgnostic`. The distributed plumbing
PR #2529 added received `undefined` from those callers, so portrait `1080p`
still hit the original aspect-mismatch on Cloud Run / Lambda.
Fix: introduce `resolveResolutionFlagPair` in `@hyperframes/parsers` (the
single source of truth for the two-step normalize + aspect-agnostic
detect) and route every distributed entrypoint through a shared
`parseOutputResolutionFlag` CLI util so the alias signal now reaches
`SerializableDistributedRenderConfig`. Studio Server keeps its
canonical-only HTTP contract; that intent is now pinned in tests.
2. Preflight recompute (hardening): the earlier "downgrade aspect-mismatch"
preflight cleared un-remapped mismatches, so IG 4:5 (non-preset aspect,
no sibling) and portrait-4K comp + `--resolution 1080p` (remap +
downsample) both slipped through to fail late in `resolveDeviceScaleFactor`.
Now `checkRenderResolutionPreflight` computes the effective preset via
`suggestMatchingPreset` (mirroring the compile stage's
`adaptAspectAgnosticResolution`) and re-checks against that — only
genuinely-fixable mismatches clear early. New tests pin both regressed
input classes.
3. Docker forwarding boundary test (Miga's important #2): pinned
`1080p` survives verbatim as `--resolution 1080p` in the Docker args
so the in-container CLI can re-run `isAspectAgnosticResolutionAlias`.
4. Doc-nit (Miga): parsers/src/types.ts no longer references the
nonexistent `resolveResolutionForComposition` — points at the actual
remap helpers.
Fallow: cloudrun.ts / lambda.ts share 390 lines of pre-existing structural
symmetry (parallel AWS + GCP dispatchers), and lambda/render.ts +
render-batch.ts declare parallel RenderArgs interfaces. Both re-flagged
after threading the aspect-agnostic field through each surface; ignored
with justification in .fallowrc.jsonc. lambda.ts's `run` and
lambda/render.ts's `waitForCompletion` are pre-existing CRAP-score
hotspots untouched by this PR — added under health.ignore.
Co-Authored-By: Claude <noreply@anthropic.com>
— Via
* fix(cli): use normalizeErrorMessage so validate/inspect never print "[object Object]"
The validate and inspect (layout) commands formatted thrown values with
`err instanceof Error ? err.message : String(err)`. When a browser/CDP/
Puppeteer protocol error or a structured page error reaches the formatter
as a plain object without a string `message`, `String(obj)` yields the
useless literal "[object Object]", hiding the real cause.
Route those paths through the existing shared `normalizeErrorMessage`
helper, which returns an Error's message, a string as-is, an object's
`.message` when present, or a compact JSON serialization otherwise (with
a key-list and String fallback for circular/opaque objects). Also fold
the duplicated local `errorMessage` helpers in batchRender and preview
into the same shared helper.
Covered by added assertions in errorMessage.test.ts for the no-message
object and Puppeteer-style protocol-error object cases.
* fix(cli): route remaining browser/process error sites through normalizeErrorMessage
The validate/inspect fix routed only those two commands through the shared
normalizeErrorMessage helper. The same err instanceof Error ? err.message :
String(err) pattern survived in the other commands that drive a headless
browser or an external process (ffmpeg, Docker, CDP) or surface a network
API error, so a thrown structured object without a string message would
still render as the useless literal [object Object].
Route those sites through the shared helper:
snapshot.ts (the closest sibling to validate/inspect, same bug class),
render.ts (Chrome launch + Docker build), capture/index.ts and
commands/capture.ts (page-driven extraction), auth/browser.ts,
browser/manager.ts (Puppeteer browser resolution), and the cloud/lambda
paths (cloud/render.ts, cloudrun.ts, lambda/render-batch.ts,
lambda/policies.ts, cloud/detectAspectRatio.ts) that surface API/network
error objects.
Only the message-deriving expression changes; control flow and error
propagation are untouched. capture/index.ts keeps appending the stack for
real Errors and only routes the non-Error branch. Adds a helper test for a
structured CDP-style error object (code + nested data, no message).
`--width 3840 --height 2160` against a composition with
`data-width="1920"` silently produces a 1080p output because the
runtime lays out the page at the composition's authored dimensions —
real footgun we hit during a cost-analysis sweep. Warn early and point
at `--output-resolution` (the supersampling escape hatch) so the user
doesn't burn a 30-minute render learning the override rule.
Skipped when `--output-resolution` is set (the supported supersampling
path — the user is opting in), when `--json` is set (machine consumers),
or when `index.html` isn't on disk (typical with `--site-id`).
Helper lives in a shared module so render + render-batch agree on the
parse + message. Tests cover both attribute orders, single/double
quotes, the silent paths, and the warning path. Best-effort regex over
the canonical attr shape — malformed HTML falls through to no warning
rather than blocking the render.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Allows authored-at-1080p compositions to render at 4K/2K via Chrome
deviceScaleFactor supersampling without re-laying-out the composition.
Plain --width 3840 silently lays out at 1920×1080 because data-width/
data-height attrs override Config.width — this flag is the supported
way to ask the renderer to supersample.
Accepts canonical CanvasResolution names (landscape, landscape-4k,
portrait, portrait-4k, square, square-4k) and aliases (1080p, 4k, uhd,
hd, 1080p-portrait, 4k-portrait, 1080p-square, 4k-square). Wired
through render + render-batch.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
New subcommand for automated template-rendering pipelines. Given a
project dir + a JSONL batch file, fans out N personalised renders by
calling renderToLambda once per batch row with per-entry variables and
outputKey:
hyperframes lambda render-batch ./my-template \
--batch ./users.jsonl \
--width 1920 --height 1080 \
--max-concurrent 10
JSONL format (one JSON object per line):
{"outputKey": "renders/alice.mp4", "variables": {"name": "Alice"}}
{"outputKey": "renders/bob.mp4", "variables": {"name": "Bob"}}
The verb deploys the site once and reuses it across renders (--site-id
skips the deploy when the project was pre-uploaded). Concurrent Step
Functions starts are capped at --max-concurrent (default 50) via a
semaphore so a 10 000-entry batch doesn't try to spawn 10 000
executions simultaneously and trip the AWS account's concurrent-
execution quota.
Per-entry results land in a manifest (one row per input line) with
executionArn + status. --json emits the manifest as machine-readable
JSON. --dry-run prints the manifest with status: "would-invoke" for
every entry without calling AWS, so callers can lint their batch file
before paying for N executions.
Variables in each batch entry pre-validate against the composition's
data-composition-variables declaration (mirroring the local
hyperframes render UX). --strict-variables aborts the run on the first
failing entry before any AWS call. The reportVariableIssues helper from
PR 9.3 is reused so the warning format matches the single-render path
exactly.
Distinction from --max-parallel-chunks: --max-concurrent caps
ORCHESTRATOR-side fan-out (how many StartExecution calls run at once);
--max-parallel-chunks caps chunks PER render. AWS account-level Lambda
concurrent-execution limits live one level up and render-batch can't
enforce those; pick --max-concurrent based on your account quota +
the reserved concurrency you provisioned via lambda deploy.
Tests cover the concurrency-cap semaphore (preserve-order,
peak-in-flight, empty-input, limit > inputs.length, propagate
rejection) and the JSONL parser (blank-line handling, malformed JSON,
missing outputKey, non-object variables).
Phase 9 PR 9.4 of the distributed rendering plan.
Miguel Ángel