## What
- enforce a finite, validated `meta/videos.json` contract shared by Plan v1 and Plan v2
- preserve authored finite ends and source-derived trim-aware ends; bound any still-open end at the validated composition end
- fail distributed planning when any declared video source did not extract instead of publishing a blank-capable plan
- make the v1 chunk reader reject malformed/null video timing before frame injection
- route deterministic video-source/metadata failures as non-retryable in AWS and GCP while retaining retries for transient extraction failures
## Why
An open-ended video whose remote source could not be resolved retained `Infinity` through planning. Plan v2 correctly rejected that value, while Plan v1 serialized it as `null`; the v1 frame lookup could then suppress injected frames and silently produce incorrect output.
The invariant belongs at the shared metadata boundary. Both protocols must receive identical finite timing, and unavailable sources must fail closed before plan publication.
## Test plan
- [x] producer distributed planning, metadata, v1 chunk boundary, Plan v2 conversion/materialization, and public exports
- [x] core runtime media semantics (authored slots, natural duration, looping, non-looping hold)
- [x] engine video extraction and frame lookup
- [x] AWS Lambda/CDK/SAM and GCP Cloud Run error normalization/retry classification
- [x] producer, core, engine, AWS, and GCP typechecks/builds
- [x] formatting, oxlint, tracked-artifact, fallow, and commit hooks
- [x] exact incident composition replayed through the AWS Lambda handler's Lambda-local path in a Lambda-like container; Plan v1 and Plan v2 both fail closed as `VIDEO_SOURCE_UNRENDERABLE` during planning, before plan publication
- [x] full PR CI, including all nine regression shards and Windows render/tests
No production flags or deployment/release workflows are changed.
* feat(gcp-cloud-run): add Google Cloud Run + Workflows distributed render adapter
Adds @hyperframes/gcp-cloud-run, the GCP counterpart to @hyperframes/aws-lambda
(issue #932). The OSS distributed primitives (plan, renderChunk x N, assemble)
are unchanged; this package is the storage/compute/orchestration glue.
Package: Cloud Run handler (one image, three actions), runs under bun; GCS
transport; in-image chrome-headless-shell resolver; client SDK
(renderToCloudRun, getRenderProgress, deploySite, computeRenderCost); Dockerfile;
Cloud Workflows definition; Terraform module; CLI cloudrun
deploy|sites|render|render-batch|progress|destroy with --output-resolution and
--strict-variables; 62 unit tests + docs + live smoke script.
Shared extraction (removes ~640 lines of adapter duplication): move the
cloud-agnostic config validator + content-hash into producer/distributed; both
adapters import them. Validated end-to-end on GCP at 37.4 dB PSNR vs baseline.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(cli): resolve @hyperframes/gcp-cloud-run in the CLI build + root build
The CLI bundle (esbuild) couldn't resolve `@hyperframes/gcp-cloud-run/sdk`,
failing Build/Typecheck/CLI-smoke (and the perf/windows/regression jobs that
build first). Mirror the aws-lambda handling: mark the gcp adapter + its /sdk
subpath external in tsup.config.ts with a source alias, and add gcp-cloud-run
to the root `build` filter so its dist exists for publish + runtime.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(ci): copy gcp-cloud-run manifest in Dockerfile.test for frozen install
The regression test image runs `bun install --frozen-lockfile` after copying
each workspace package.json individually. The CLI now depends on
@hyperframes/gcp-cloud-run (workspace:*), so the frozen install fails to
resolve it unless its manifest is present. Add the COPY line.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(cli): add machine-sizing flags to `cloudrun deploy`
Closes the parity gap with `lambda deploy` (which exposes --memory etc.).
`cloudrun deploy` now threads --cpu, --memory, --max-instances, and --timeout
into the Terraform apply; omitted flags keep the module defaults
(4 vCPU / 16Gi / 100 instances / 3600s). For finer control, apply the module
directly.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(gcp-cloud-run): address PR review (security, waste, limits, alerts)
- server.ts: bucket-allowlist guard no longer fails open silently. Unset env
logs a one-time WARNING; "*" is an explicit opt-out; otherwise it enforces.
- server.ts: stop double-shipping audio.aac. It already rides in the plan
tarball every consumer downloads, so drop the redundant standalone upload
(plan) + re-download/overwrite (assemble); assemble reads it from the untar,
falling back to a supplied AudioGcsUri for compat.
- server.ts: chunk extension via path.extname() instead of slice(lastIndexOf).
- workflow.yaml: clamp parallel concurrency_limit to math.min(chunkCount, 20)
— Cloud Workflows hard-caps concurrent iterations at 20.
- Dockerfile: pin bun (bun-v1.3.9) so an interop change can't silently break
the image rebuild.
- terraform: add min_instances var (default 0); add a workflow-failure alert
(finished_execution_count status=FAILED) alongside the request-count one.
- costAccounting: document that displayCost excludes GCS storage/egress.
Verified against the actual APIs: @google-cloud/workflows@4.4.0
ICreateExecutionRequest has no executionId (so the idempotency-token suggestion
isn't available in this client); Workflows concurrency cap is 20; failure
metric is workflows.googleapis.com/finished_execution_count (status label).
174 adapter tests pass, fallow/oxlint/oxfmt/terraform clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(gcp-cloud-run): address round-2 review — error code + CFR forwarding
- workflow.yaml: rename the zero-chunk failure code PLAN_TOO_LARGE →
PLAN_PRODUCED_ZERO_CHUNKS. The old code implied a size-ceiling breach (the
opposite cause), misleading anyone triaging the alert.
- workflow.yaml: forward Config.cfr to the assemble step
(`Cfr: ${("cfr" in config) and config.cfr}`). It was read by the handler
but never sent, so exact-CFR was silently off for every Cloud Run render.
Uses the same `in`-operator guard already proven in the retryable predicate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(release): include gcp-cloud-run in set-version PACKAGES list
set-version.ts (driven by release:prepare) bumps an explicit package list to
the shared version on each release. gcp-cloud-run was wired into the build +
publish.yml but missing here, so a release would leave it at a stale version
and publish.yml would push the wrong version. Add it so the new package
version-bumps + publishes in lockstep with the others.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
James Russo