Every SKILL.md already declared the new name — name: frames, frames-cli, frames-core, and so on — but the directories were never moved, so the tree carried frames-* in content and hyperframes-* on disk. Everything that resolves a skill by path missed: the core-skill list, the plugin marketplace pin, and the docs the CLI reads at runtime. Eight tests failed on main because the files they open do not exist. The directories now match what the files say they are, and the guide the claude-design contract reads takes the name that contract already used.
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Lambda rendering on AWS
Use frames lambda when the user explicitly wants self-managed AWS infrastructure or needs distributed rendering. It wraps @frames/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 @hanzo/frames lambda deploy
npx @hanzo/frames lambda render ./my-project --width 1920 --height 1080 --wait
npx @hanzo/frames 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 @hanzo/frames lambda deploy \
--stack-name=frames-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>/.frames/lambda-stack-<name>.json so later subcommands don't need to call describe-stacks.
| Flag | Default | Description |
|---|---|---|
--stack-name |
frames-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 @hanzo/frames lambda sites create ./my-project
# → siteId: abc1234deadbeef0 (stable across re-runs of the same tree)
npx @hanzo/frames 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 @hanzo/frames 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 @hanzo/frames 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 @hanzo/frames lambda progress hf-render-abcd1234
npx @hanzo/frames 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 @hanzo/frames 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 @hanzo/frames lambda policies user # inline policy for an IAM user
npx @hanzo/frames lambda policies role # { TrustRelationship, InlinePolicy }
npx @hanzo/frames 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
frames lambda stores per-stack metadata under <cwd>/.frames/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.