Record genuine CPU speech and Google lifecycle verification
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@@ -93,3 +93,16 @@ Provide verified `SEARCHI_SPEECH_WORKER`, `SEARCHI_SPEECH_BASE`, `SEARCHI_SPEECH
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Google model/worker variables, CPU FFmpeg/FFprobe helpers and a real short WAV in
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Google model/worker variables, CPU FFmpeg/FFprobe helpers and a real short WAV in
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`SEARCHI_TEST_SPEECH_AUDIO`; Windows VM execution requires `SEARCHI_FORCE_CPU=1`.
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`SEARCHI_TEST_SPEECH_AUDIO`; Windows VM execution requires `SEARCHI_FORCE_CPU=1`.
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This tests publication/reuse and evidence binding, not independent relevance.
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This tests publication/reuse and evidence binding, not independent relevance.
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Recorded Windows CPU functional proof, 2026-10-13: the actual `speech_google_cpu`
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test passed in 113.50 seconds with native v3 worker SHA-256
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`299c1b784eac46b31d228453a399e1378f327fc9ed5e34ab950c804da33e433a`
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and genuine Google embeddings. Adding/retrying speech made zero additional raw
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audio inference calls and preserved exact raw vector bytes. Policy-upgrade fault
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injection reported partial speech coverage, then genuine recognition restored it;
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the retained Google query reader and source-bound excerpts worked across publication.
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Ignored raw log `.searchi/qa/service-speech-google-cpu-v3.log` is 1292 bytes,
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SHA-256 `170700adf9315ae15ae3ab5a7df6a77ab01dc5b776be179c861d2461cfc48c03`.
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This uses a short existing English fixture and queries derived from recognition,
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so it does not score independent relevance, precise utterance timing, GPU behavior
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or native UI performance.
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@@ -46,6 +46,9 @@ Google EmbeddingGemma 2 remains the main text/image/audio/video search model.
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- [x] Current CPU worker processed real English/German recordings from Unicode
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- [x] Current CPU worker processed real English/German recordings from Unicode
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paths and reused loaded recognition contexts; this is functional evidence,
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paths and reused loaded recognition contexts; this is functional evidence,
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not independent retrieval or word-timing accuracy.
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not independent retrieval or word-timing accuracy.
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- [x] Genuine shared-service ASR/Google lifecycle passed: verified speech
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excerpts, zero raw reencodes through policy failure/retry, and retained
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query reader; [proof](SPEECH-INTEGRATION.md).
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- [ ] Run genuine shared-service Google lifecycle and frozen independent query
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- [ ] Run genuine shared-service Google lifecycle and frozen independent query
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controls; stage and deliver the normal hardware-detecting runtime.
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controls; stage and deliver the normal hardware-detecting runtime.
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- [ ] Validate richer no-answer evidence on new independent positive/negative data; do not retune the failed universal cosine cutoff on old held-out results.
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- [ ] Validate richer no-answer evidence on new independent positive/negative data; do not retune the failed universal cosine cutoff on old held-out results.
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@@ -51,8 +51,8 @@ inference budget.
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## Checks still required before delivery
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## Checks still required before delivery
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- [ ] Current native worker English/German context reuse and Unicode paths.
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- [x] Current CPU native worker English/German context reuse and Unicode paths.
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- [ ] Actual shared-service ASR plus Google lifecycle integration.
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- [x] Actual shared-service ASR plus Google lifecycle integration.
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- [ ] Frozen independent four-file/ten-query and separate seam evaluation.
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- [ ] Frozen independent four-file/ten-query and separate seam evaluation.
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- [ ] Normal hardware-detecting runtime staging and Windows package startup.
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- [ ] Normal hardware-detecting runtime staging and Windows package startup.
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- [ ] Publish/install the verified Windows update.
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- [ ] Publish/install the verified Windows update.
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@@ -63,3 +63,30 @@ The independent fixture has no publisher phrase timestamps. It can measure
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retrieval and negative controls, but cannot establish precise word-level timing
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retrieval and negative controls, but cannot establish precise word-level timing
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accuracy. Music relevance and general no-answer rejection remain separate open
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accuracy. Music relevance and general no-answer rejection remain separate open
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quality work; diagnostic integration alone does not raise the media rating.
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quality work; diagnostic integration alone does not raise the media rating.
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## Genuine CPU functional proofs
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The internal v3 worker SHA is
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`299c1b784eac46b31d228453a399e1378f327fc9ed5e34ab950c804da33e433a`;
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its inventory SHA is
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`4904995685a5e55e0a790d9cc409dc8458e39c30cda4097c5d70bf75cb5c976c`.
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English/German tests relocated the worker and real models to paths containing
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`München`, `測試` and `🚀`. Each repeated recognition returned stable bounded
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passages, and the second call reported zero additional model-load time. These
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checks selected `Auto` in the Rust client with `SEARCHI_FORCE_CPU=1`, so native
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execution was explicitly CPU. They do not validate dynamic acceleration loading.
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The actual service lifecycle test passed in 113.50 seconds. Adding recognition,
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an injected optional failure on policy upgrade, and a genuine retry all retained
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byte-identical raw Google vectors with zero additional raw-audio encodes.
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Recognized results, exact verified excerpts, stable policy/source retry identity
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and the retained Google query reader were checked. This uses a query derived
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from recognition to test the contract; it is not an independent relevance score.
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Raw log `.searchi/qa/service-speech-google-cpu-v3.log`: 1292 bytes, SHA
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`170700adf9315ae15ae3ab5a7df6a77ab01dc5b776be179c861d2461cfc48c03`.
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The first normal auto compilation reached Vulkan setup but failed on Windows
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nested MSBuild path length. Its log is retained, SHA
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`59f1820d6ac6adac6f525d8084c442c1ed261753eb34fcce916dc157041f777c`.
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An unchanged build in a shorter owned output directory is underway; no CPU-only
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distribution was substituted.
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