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…10015) The build context shipped to the daemon included several large untracked directories the image never needs: saved image tarballs (backend-images), locally-installed backends (local-backends), the host-built binary (local-ai), the rust target/ build output, and host node_modules/protoc/tests. This bloated the context to ~23GB. Exclude them so only the sources the Dockerfile actually copies are transferred. backend/rust sources stay tracked; only target/ is ignored. Assisted-by: Claude:claude-opus-4-7 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com>
chore(model gallery): 🤖 add new models via gallery agent Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…nd/python/transformers (#10007) chore(deps): bump sentence-transformers in /backend/python/transformers Bumps [sentence-transformers](https://github.com/huggingface/sentence-transformers) from 5.5.0 to 5.5.1. - [Release notes](https://github.com/huggingface/sentence-transformers/releases) - [Commits](huggingface/sentence-transformers@v5.5.0...v5.5.1) --- updated-dependencies: - dependency-name: sentence-transformers dependency-version: 5.5.1 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…in /backend/python/transformers (#10005) chore(deps): update transformers requirement Updates the requirements on [transformers](https://github.com/huggingface/transformers) to permit the latest version. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v5.8.1...v5.9.0) --- updated-dependencies: - dependency-name: transformers dependency-version: 5.9.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…ransformers (#10004) chore(deps): bump protobuf in /backend/python/transformers Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 6.33.5 to 7.35.0. - [Release notes](https://github.com/protocolbuffers/protobuf/releases) - [Commits](https://github.com/protocolbuffers/protobuf/commits) --- updated-dependencies: - dependency-name: protobuf dependency-version: 7.35.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
- Strict monotonic Go coverage gate (make test-coverage-check, 45% baseline) run in CI; fixes ginkgo dropping all-but-one coverprofile across multiple recursive roots, builds with -tags auth, and folds in the in-process tests/e2e suite via --coverpkg. - React UI e2e coverage (make test-ui-coverage: vite-plugin-istanbul + nyc, nix-provided Chromium) plus e2e specs for 6 previously-untested pages, and a UI coverage gate (make test-ui-coverage-check) with a small tolerance since e2e line coverage jitters ~0.5pp run-to-run. - pre-commit hook: lint + coverage on Go changes, Playwright e2e + UI coverage gate on react-ui changes; install with make install-hooks. - New Go handler tests (settings, branding), hermetic base64 download test. - fix(ui): model editor reads vram_display (snake_case), so the VRAM estimate renders again; covered by a regression test. Assisted-by: Claude:claude-opus-4-7 Signed-off-by: Richard Palethorpe <io@richiejp.com>
…red (#10013) * fix(qwen-asr): enable timestamp output when forced_aligner is configured Two bugs prevented timestamps from working in the qwen-asr backend: 1. transcribe() was called without return_time_stamps=True, so the forced aligner was loaded but never invoked. Now we pass return_time_stamps=True when a forced_aligner is present. 2. The timestamp parsing code expected (list, tuple) items, but the qwen_asr library returns ForcedAlignItem dataclass instances with .text, .start_time, .end_time attributes. Added hasattr() check to handle this correctly, falling back to tuple parsing for backward compatibility. * refactor: address Copilot review for qwen-asr timestamps - Wrap return_time_stamps kwarg in try/except TypeError for safety - Add defensive float() normalization for timestamp times - Use str() for text extraction to ensure string type * fix(qwen-asr): convert seconds to nanoseconds for Go time.Duration The Go server reads TranscriptSegment.start/end via time.Duration, which is in nanoseconds. Previously the backend sent milliseconds (* 1000), causing timestamps to be 1000x too small (e.g. 8e-8 instead of 0.08). Convert seconds → nanoseconds (* 1e9) instead. Also applies to the legacy tuple path for consistency. * feat(qwen-asr): respect timestamp_granularities (segment vs word) Read request.timestamp_granularities from the gRPC request. - 'word': return one segment per aligned item (character / word) - 'segment' (default): merge consecutive items at sentence boundaries Sentence boundaries detected via CJK punctuation (。！？；…) and Latin endings (. ! ? ;). This matches the OpenAI Whisper API contract where omitting the parameter defaults to segment-level. * fix(qwen-asr): escape smart quotes in punctuation set Unicode curly quotes (U+2018/2019) were being interpreted as Python string delimiters, causing SyntaxError. Use explicit unicode escapes. * fix(qwen-asr): use time-gap threshold for segment boundaries The forced aligner strips punctuation from its output, so text-based sentence detection doesn't work. Instead, detect segment boundaries by measuring time gaps between consecutive aligned items. Threshold = max(median_gap * 4, 0.3s). This cleanly separates intra-sentence gaps (< 0.24s) from inter-sentence gaps (> 0.3s) across Chinese, English, and other languages. * fix(qwen-asr): smart join with spaces for non-CJK tokens The forced aligner strips whitespace from tokenized text, so English words like ['hello', 'world'] were joined as 'helloworld'. Add _smart_join() that inserts spaces between non-CJK tokens while keeping CJK characters and punctuation unspaced. Works for Chinese, English, Korean, Japanese, and mixed-language text. --------- Co-authored-by: fqscfqj <fqsfqj@outlook.com>
* fix(nemo): extract Hypothesis.text for TDT/RNNT ASR models CTC models (e.g. Whisper) return List[str] from transcribe(), but TDT/RNNT models (e.g. parakeet-tdt-0.6b-v3) return List[Hypothesis] where the decoded text lives in the Hypothesis.text attribute. Previously, results[0] was assigned directly to the protobuf string field, causing silent empty output for non-CTC models. Now checks the return type and extracts .text from Hypothesis objects, with a safe fallback via getattr(). * refactor: simplify Hypothesis text extraction per Copilot review Use single getattr() call instead of hasattr() + double access, and return empty string for unknown types instead of str(result) to avoid leaking internal repr to clients.
…f386c24e6963856` (#10020) ⬆️ Update ikawrakow/ik_llama.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…33cd0f1f9ae28` (#10021) ⬆️ Update ggml-org/whisper.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…eeaac7f840b` (#10022) ⬆️ Update ggml-org/llama.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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