0.16.4

Platform (Studio)

Studio adds List Archive and Extract Archive File steps for ZIP workflow inputs. Enumerate archive contents, wire \{\{ item.path }} through foreach, and pass extracted files straight into Parse, Vision, or Search Files without leaving the builder.
Studio now finishes multi-GB file uploads with resumable multipart transfers, retrying individual parts without restarting the whole file.
Studio workflows now include Search Files: ask a question about a ZIP archive and get a cited answer plus the files the step inspected. Scope the search to a folder inside the archive and use the same model and reasoning controls as other AI steps.

Upload ZIP archives as reusable workflow inputs through the Files API. Archives can be much larger than single documents, so teams can pass bundled evidence, exports, or multi-file drops into the same runs that already accept PDFs and Office files.
File uploads can now negotiate a resumable multipart session for multi-GB objects, with on-demand part URLs, authoritative resume listing, and safe completion that never overwrites a finished file.
Starting a run from a reusable file id now keeps a private run-owned reference to the original bytes instead of duplicating large uploads. Deleting the reusable file leaves past runs readable until those runs themselves are deleted.

Dataset import and export now keep a single /api/v1 prefix when the CLI base URL already includes /api/v1, so those commands reach the dataset API instead of a doubled /v1/v1 path.
The CLI now uploads large run files with resumable, storage-direct transfers, so multi-GB inputs stream from disk instead of loading into memory or a single request.
The CLI now recognizes .zip files when uploading reusable workflow inputs, so archive uploads get the correct content type without extra flags.

The TypeScript and Python SDKs now upload large files through resumable multipart sessions, streaming from a path or seekable source so callers do not have to load the whole object into memory.

Workflows can add transform.archive-list and transform.archive-extract to inspect ZIP inputs and pull out individual files. List every entry in an archive, then extract one path as a run output file that Parse, Vision, Search Files, and other archive-aware steps can use in the same run — including after resume and inside foreach or parallel_map. Nested archives stay as ZIP files. Each extraction is capped at 64 MiB, with safe concurrency limits on parallel extracts so large batches cannot unpack unbounded data at once.
Workflows can add ai.search-files to ask a natural-language question against a ZIP archive. The step returns a cited answer, the files it inspected, and optional folder scoping — with bounded investigation limits so runs stay predictable.
Restore extracted file handles inside parallel branches when workflows resume, and reject ZIP entries whose contents fail their CRC32 checksum.