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llrt_modules is already built with proper features (including compression) in the 'Run build all' step. Building it in the per-crate loop with default features fails because llrt_zlib now has default-features=false and needs an explicit compression feature from the parent.
Fixes undefined reference to __imp__vsnprintf when linking the test binary on windows with MinGW + OpenSSL. The new compression dependencies in llrt_fetch change the link graph enough to expose this known MinGW compatibility issue.
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Mar 29, 2026
Upgrade the embedded QuickJS runtime to rquickjs 0.11 and expose LLRT's TextDecoder globals plus util/stream/web modules in both scraper and extractor sandboxes. Pin LLRT to the last known-good commit from awslabs/llrt#1382 because that snapshot fixes the reproduced AsyncRuntime ReadableStream teardown abort while later branch commits have not been validated here yet. Co-Authored-By: Codex (gpt-5.4 medium) <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
…mplementing stream teeing and minor adjustments and perf improvements
Sytten
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Apr 9, 2026
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Good job!
Make sure you add typescript typing
| value.as_object().and_then(|o| o.as_array_buffer()) | ||
| { | ||
| array_buffer.as_bytes().map(|b| b.to_vec()) | ||
| } else { |
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Does quickjs have a DataView concept?
| }, | ||
| } | ||
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| impl<'js> Clone for CancelAlgorithm<'js> { |
- Rename Body type to BodyInit, add ReadableStream, FormData, URLSearchParams, string - Update Request.body to return ReadableStream<Uint8Array> | null - Update Response.body from undefined to ReadableStream<Uint8Array> | null - Update RequestOpts.body and Response constructor to accept BodyInit - Add missing Response.bytes() method
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Issue # (if available)
Fixes: #946
Description of changes
Implements full support for web streams in request and response classes for fetch. Performance is also great
Results from
benchmarks/fetch-streaming.mjsChecklist
tests/unitand/or in Rust for my feature if neededmake fixto format JS and apply Clippy auto fixesmake checktypes/directoryBy submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.