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| Name: python314-llguidance | Distribution: openSUSE Tumbleweed |
| Version: 1.9.1 | Vendor: openSUSE |
| Release: 1.1 | Build date: Fri Oct 2 07:45:42 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 7882829 | Source RPM: python-llguidance-1.9.1-1.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/guidance-ai/llguidance | |
| Summary: Low-level Guidance (llguidance) bindings for constrained decoding | |
Bindings for the Low-level Guidance (llguidance) Rust library, providing super-fast structured outputs and constrained decoding for large language models. It supports context-free grammars, JSON schemas and Lark-style syntax to constrain token generation.
Apache-2.0 AND MIT AND MIT-0 AND Unicode-3.0
* Fri Oct 02 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 1.9.1:
* Expose cooperative cancellation on TokenParser:
enable_cancellation() is idempotent and cancellation_handle()
returns the parser's existing cancellation state once
enabled. Cancellation stays opt-in and parser behaviour is
unchanged when it is not enabled
- Re-generate registry.tar.zst for 1.9.1 via the cargo_vendor
service: pyo3 0.29.2 -> 0.29.3 and lazy_static 1.5.0 ->
1.5.1, all permissive. License is unchanged, but correct the
Legal-Review-Notice MIT count, which understated it: 22 of
the 111 linked crates grant MIT, not 21
* Wed Sep 30 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 1.9.0:
* Add opt-in cooperative cancellation for abandoned matcher
computations: disabled by default, enabled via Rust
Matcher::into_cancellable() or the new C cancellation-handle API;
cancelled matchers stop with StopReason::Cancelled and their
forced-output methods return empty results
* Compile homogeneous bounded JSON array tails compactly
(logarithmic repetition) instead of one grammar entry per item,
avoiding compact-grammar symbol overflow for large maxItems
* Parse compact Lark tilde repeat ranges such as HI~0..2
* Report empty integer intervals in JSON schemas as
UnsatisfiableSchemaError instead of a regex-generation error
* Update derivre to 0.3.13: patterns with redundant nested anchors,
e.g. ^(^foo$)$|^$, now compile
- Re-generate registry.tar.zst for 1.9.0 via the cargo_vendor service:
17 linked crates bumped past upstream's lock, all permissive;
pyo3 0.29.2; License unchanged, Legal-Review-Notice re-derived from
the new registry with the unlinked crate attribution corrected
* Tue Aug 11 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 1.8.0:
* Allow general Unicode escapes in JSON strings and object keys
* Support \xHH escapes in Lark string literals
* Add single-match skip lexemes
* Preserve the exclusiveMinimum/exclusiveMaximum names in JSON
Schema errors instead of reporting them as minimum/maximum
* Accept negative numbers in multipleOf, which previously rejected
every negative value, including valid negative multiples
* Treat max_tokens=0 as an empty string instead of compiling a
token-limited lexeme that never terminates at runtime
* Harden the C FFI layer: catch_unwind guards on the extern "C"
entry points, null tolerance in all llg_free_* functions, a
fixed buffer-sizing bug and a new C++ FFI test suite
* Add CI support for Windows ARM64 Python wheels
* Update pyo3 to 0.29.0
- Re-generate registry.tar.zst for 1.8.0 via the cargo_vendor service
- Narrow License to Apache-2.0 AND MIT AND MIT-0 AND Unicode-3.0:
the tag is now derived from the 111 crates maturin actually
compiles into the extension module rather than from the whole
workspace lockfile. The previously declared BSD-3-Clause,
CDLA-Permissive-2.0, ISC and MPL-2.0 come solely from the HTTP and
TLS stack of the toktrie_hf_downloader workspace member and from a
dev-dependency of the parser crate, neither of which is built
here; the derivation is recorded as a Legal-Review-Notice in the
spec file
- Declare the rust-version floor the workspace manifest sets by
adding BuildRequires on rust >= 1.87
* Sun Jul 12 2026 Martin Pluskal <mpluskal@suse.com>
- Initial package python-llguidance 1.7.6
* Python bindings for the llguidance Rust library providing fast
constrained decoding of LLM output via grammars and JSON schemas
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