diff --git a/coffee-pilot/NVIDIA-ASSET-LICENSE.txt b/NVIDIA-ASSET-LICENSE.txt similarity index 100% rename from coffee-pilot/NVIDIA-ASSET-LICENSE.txt rename to NVIDIA-ASSET-LICENSE.txt diff --git a/PROVENANCE.md b/PROVENANCE.md deleted file mode 100644 index 01f4272ec74ce788a452a370bb59315408061062..0000000000000000000000000000000000000000 --- a/PROVENANCE.md +++ /dev/null @@ -1,7 +0,0 @@ -# Sources and licenses - -SimReady Bench source is licensed under [MIT](LICENSE). - -Reference assets come from [NVIDIA SimReady Assets](https://huggingface.co/datasets/nvidia/simready-assets/tree/f4860aa0c75607adb50a78bf96e77510bffc040f), pinned to revision `f4860aa0c75607adb50a78bf96e77510bffc040f`. Import verifies NVIDIA's package metadata and bill of materials. Asset license and source information accompany each imported package. - -[Harbor](https://github.com/harbor-framework/harbor) runs the agent tasks. NVIDIA SimReady, Isaac Sim, OpenUSD, container images and other dependencies retain their own licenses. External runtime images and reference packages are acquired separately. The bundled box and pallet are original demonstration assets. diff --git a/README.md b/README.md index b9b0b5876681d2396335093b04a8b650ead89cdd..897cf74c02dd89afecfdc4df408b87b71dde20a8 100644 --- a/README.md +++ b/README.md @@ -1,29 +1,45 @@ ---- -language: -- en -license: other -license_name: mixed-mit-and-nvidia-source-license -license_link: https://huggingface.co/datasets/chrisvoncsefalvay/simreadybench-results/blob/main/coffee-pilot/NVIDIA-ASSET-LICENSE.txt -pretty_name: SimReadyBench Results ---- -# SimReadyBench Results - -**SimReadyBench: Testing and Training Models, Harnesses and Skills for Simulation Ready Asset Generation.** - -Author: [Chris von Csefalvay](https://github.com/chrisvoncsefalvay). Code and protocol: [SimReadyBench](https://github.com/chrisvoncsefalvay/simreadybench). This is a private review archive. - -## Contents and scope - -`coffee-pilot/` contains one actual RC15 reconstruction using `google/gemma-4-31B-it:novita` through Hugging Face, Pi 0.85.1 and no skills. It includes measured result JSON, the input view, 77 saved capture PNGs, a progress figure, actual numeric verifier-feedback delivery evidence, diagnosis, checksums and the unchanged final generated USD. It contains no hidden source USD or private raw provider traces. - -The pilot scored 78.4783/100 on the mandatory NVIDIA profile (38/46); strict acceptance was false. Shape, rigid-part, joint and material fidelity scored zero. Geometry coverage was 100%; material coverage was 83.33%. Thirty-two outbound requests yielded 22 successful responses and ten HTTP 429 overloads. Original intermediate unknowns remain unchanged. - -The canonical protocol is 25 assets × four repeats = 100 attempts per model/harness/skill combination. **This archive is not a completed canonical study or ranking.** RC16 prospective retry controls were tested separately without another paid model run. The reward API supports external training; no RL trainer or training result is included. - -## Reproduction - -Use the repository's pinned manifests and Python 3.12 installation instructions. Reference source packages are acquired directly from [NVIDIA's immutable Hugging Face revision](https://huggingface.co/datasets/nvidia/simready-assets/tree/f4860aa0c75607adb50a78bf96e77510bffc040f) and verified against their original BOM and benchmark checksums. Do not infer physical ground truth or full material support from source conformance. - -## Licenses and limitations - -Benchmark code is MIT licensed. NVIDIA assets and derived reference imagery retain their original attribution and license in `coffee-pilot/NVIDIA-ASSET-LICENSE.txt`. The generated candidate is preserved as submitted, without repair. Usage-cost figures are estimates, not invoices. Historical resource metrics were unavailable; a latest sample does not establish peaks. See `coffee-pilot/diagnosis.md` and `README.md` for evidence scope. No paper, DOI, affiliation or full-model ranking is claimed. +--- +language: +- en +license: other +license_name: mixed-mit-and-nvidia-source-license +license_link: https://huggingface.co/datasets/chrisvoncsefalvay/simreadybench-results/blob/main/NVIDIA-ASSET-LICENSE.txt +pretty_name: SimReadyBench results +authors: +- name: Chris von Csefalvay + affiliation: HCLTech +- name: Achyuthan Unni Krishnan + affiliation: HCLTech +- name: Pranav Doma + affiliation: HCLTech +- name: Tamas Foldi + affiliation: HCLTech +--- +# SimReadyBench results + +Each readout records a model's reconstruction of the NVIDIA SimReady reference set, including generated USDs, per-asset scores, validator reports and matched reference and candidate captures. + +Authors: [Chris von Csefalvay](https://github.com/chrisvoncsefalvay), Achyuthan Unni Krishnan, Pranav Doma and Tamas Foldi. All authors are with HCLTech. Code and reference manifests: [SimReadyBench](https://github.com/chrisvoncsefalvay/simreadybench). + +## Evaluate a model + +Use Python 3.12 and set `OPENAI_API_KEY` and `DAYTONA_API_KEY` in the shell: + +```sh +git clone https://github.com/chrisvoncsefalvay/simreadybench.git +cd simreadybench +python -m pip install -e '.[daytona]' +simready-bench benchmark nvidia-25 --repetitions 4 \ + --model gpt-6.1-sol --harness pi --deploy daytona --reasoning medium \ + --max-spend-usd 250 --output-dir ../simreadybench-results +``` + +This runs four reconstructions for each of the 25 reference assets and collects scores and captures for all 100 attempts. Add `--skills PATH` to test an authoring skill. Use `--deploy local` on a configured Linux Docker host. + +The [quickstart](https://github.com/chrisvoncsefalvay/simreadybench/blob/main/docs/quickstart.md) covers installation, runtime setup and result inspection. + +## Scores + +Assets are evaluated [according to the NVIDIA SimReady-Foundation Robotics-Prop 4.0.0 profile](https://github.com/NVIDIA/simready-foundation/blob/main/nv_core/sr_specs/docs/guides/profiles_validation_workflow.md). SimReady Robotics-Prop compliance is reported on a 0-100 scale alongside separate shape, rigid-part, joint and material fidelity scores. Matched captures show the reference and reconstruction at the same camera and scale. + +See the [scoring guide](https://github.com/chrisvoncsefalvay/simreadybench/blob/main/docs/evaluation.md) for component definitions and the [reference set](https://github.com/chrisvoncsefalvay/simreadybench/blob/main/src/simready_bench/resources/benchmarks/nvidia-25.json) for the 25 assets. diff --git a/coffee-pilot/README.md b/coffee-pilot/README.md deleted file mode 100644 index 49c4562efd8ca03878cd04eca3361f8a0e6dfae7..0000000000000000000000000000000000000000 --- a/coffee-pilot/README.md +++ /dev/null @@ -1,27 +0,0 @@ -# Coffee-cup pipeline pilot - -Gemma 4 31B (`google/gemma-4-31B-it:novita`), Pi 0.85.1, no skills, NVIDIA coffee-cup source, RC15 frozen scoring. This is one rate-limit-affected attempt, not a canonical 25 ranking or a completed 32-successful-turn baseline. - -| Outcome | Measured result | -|---|---:| -| NVIDIA compliance |78.47826086956522/100 | -| Mandatory IDs passed |38/46 | -| Strict acceptance |false | -| Shape / rigid parts / joints / materials fidelity |0 /0 /0 /0 | -| Geometry / material coverage |100% /83.33% | -| Outbound requests |32 | -| HTTP 200 / 429 |22 /10 | -| Successful native model turns / tool calls |22 /24 | -| Agent validation calls |1 | -| Reported input / output tokens |186938 /3879 | -| Estimated HF usage, not invoice |$0.02772292 | - -[Chronological contact sheet](progress-contact-sheet.png) includes the original task input, reference, final output and every even successful turn. Turn 2 has no candidate; later rendered candidates occupy only a few pixels under the fixed reference camera. The reference/candidate camera and authored scale are preserved. Illustrations are unscored and may approximate MDL appearance. - -`result.json` preserves fixed-denominator per-turn results. Turns 3–14 are unknown because the NVIDIA SDK did not invoke all mandatory rules on that saved state; the score is not interpolated or fabricated. The terminal state has a known numeric score delivered unchanged to Harbor. `captures/` contains 77 additional PNGs, and `submission/asset.usd` is the unchanged generated submission. Raw private traces and hidden reference USD are not included. - -The 10 error bodies report `server_overload`; all 22 successful streams include usage and DONE. Retries consumed outbound slots. A later local quota denial made no HF request. Full artifact export and sandbox deletion were confirmed. Latest CPU/RAM/disk metrics exist; historical telemetry retrieval failed. RC16 adds a prospective coordinated retry path verified with deterministic tests, without rewriting this run or launching a paid repeat. - -Source imagery: NVIDIA SimReady Assets, revision `f4860aa0c75607adb50a78bf96e77510bffc040f`, CC BY 4.0; original license in [NVIDIA-ASSET-LICENSE.txt](NVIDIA-ASSET-LICENSE.txt). Storm renders are illustrative adaptations; the task input PNG is unchanged. The generated candidate is identified separately from NVIDIA's reference. - -[Diagnosis, empty-stage adapter correction and telemetry fallback](diagnosis.md) distinguish candidate failures from integration defects. 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"f7c38c499411ab823aae22a69331f053bf4506f20b1ca34ed21841bd1a18eb81", - "bytes": 10798 - }, - "submission/asset.usd": { - "sha256": "fc89fb7a385cf9f8f4c0c2ec01e998311452de8a8607ef5d60475e6d362aa893", - "bytes": 3650 - }, - "validation-feedback.json": { - "sha256": "cc3168437e8ddc570711353bfb333a5277243c683bd1fd5c53e5dc87b75231ee", - "bytes": 9042 - }, - "wire-audit.json": { - "sha256": "2a13ef53a20e9552c25b75e1f96b33e67faddf71031173191bb0ece71630e10a", - "bytes": 1512 - } - } -} diff --git a/coffee-pilot/diagnosis.md b/coffee-pilot/diagnosis.md deleted file mode 100644 index e90579a5648ebeb5ecccd5152d3a016249ed550b..0000000000000000000000000000000000000000 --- a/coffee-pilot/diagnosis.md +++ /dev/null @@ -1,11 +0,0 @@ -# Pilot diagnosis and release correction - -The final candidate was valid USD but reconstructed the cup at the wrong physical scale. Its stage uses `metersPerUnit=0.01` and Y-up. Its authored bounds are about 0.09 × 0.117 × 0.09 stage units, giving **0.9 × 1.17 × 0.9 mm**. The frozen comparison band was 2.677 mm; the measured 95th-percentile surface distance was 115.45 mm, with zero precision and recall. The zero shape score follows the submitted bytes, rather than an empty renderer or missing comparison. - -The reference has two rigid parts and one fixed joint. The candidate has no matching rigid-body assignment or joint, so rigid-part and joint scores are zero. Material comparison uses corresponding reference surface samples; the scale mismatch yields no geometrically corresponding surface credit. This does not establish that every authored visual color is intrinsically wrong. Reference material coverage remains 83.33%. - -Turns 3–14 share an **empty composed USD stage** (492-byte file, no root prims). NVIDIA correctly reported missing meshes/root/default prim and unit issues. Ten prim-level rules had no prim on which to run. RC15's adapter incorrectly treated those absent invocations as infrastructure failure, causing unknown numeric scores and bounds 0–100. RC16 classifies an empty composed stage as invalid candidate output: zero, with the fixed 46-criterion denominator, while retaining the original NVIDIA findings. Genuine missing rule invocation on a nonempty stage remains unknown. The original RC15 run, reports and per-turn scores are immutable; prospective correction and replay checks are separate evidence. - -The model did receive actionable reward feedback. Its `validate_candidate` tool response carried 78.47826086956522, all 46 per-rule statuses and an accessible complete 153,442-byte NVIDIA report. That exact tool result appears in a subsequent HF request. The curated `validation-feedback.json` preserves this delivery evidence without the executor-local file path. Deferred trajectory fields describing passive scoring are not a substitute for auditing the actual tool response. - -The historical Daytona metrics endpoint raised `DaytonaError`; the latest sample, session logs and cleanup evidence were retained independently. Tests cover that exact fallback and bounded timeout behavior. No historical utilization series or peak is inferred from the latest sample. diff --git a/coffee-pilot/input.png b/coffee-pilot/input.png deleted file mode 100644 index 94af20128ce38a17a6304cc41317d48b743c8242..0000000000000000000000000000000000000000 --- a/coffee-pilot/input.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b0b6cf945bc4b3b0599d997d2ecbaee61a42fda6143ee966b511a470af5b7a74 -size 949210 diff --git a/coffee-pilot/matched-reference-final.png b/coffee-pilot/matched-reference-final.png deleted file mode 100644 index 2f6ca5843fd4a9c164b254e485d3a6af7aa725d9..0000000000000000000000000000000000000000 --- a/coffee-pilot/matched-reference-final.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b0bfebbcbe57cb82ed3e2a1c62e5a965860ba14c4686845a53b077c893c55afa -size 163961 diff --git a/coffee-pilot/progress-contact-sheet.png b/coffee-pilot/progress-contact-sheet.png deleted file mode 100644 index 04d7db76b36b69638f86734e10222ccc857448db..0000000000000000000000000000000000000000 --- a/coffee-pilot/progress-contact-sheet.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fd506ae68769882b97b170b57814688ec57b746f3f47486a6fa0244c447a1b0f -size 166843 diff --git a/coffee-pilot/reference-front.png b/coffee-pilot/reference-front.png deleted file mode 100644 index 8d05541aed18ce4fd29283dfe01be49c379ca097..0000000000000000000000000000000000000000 --- a/coffee-pilot/reference-front.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:963f65b715b03e0c5bd0ede273cb2a6310d2b27d2e248c7286b73f949bf7143c -size 82682 diff --git a/coffee-pilot/reference-isometric.png b/coffee-pilot/reference-isometric.png deleted file mode 100644 index e7cafea30a1b97636c9712a3cc0ff43585e7033d..0000000000000000000000000000000000000000 --- a/coffee-pilot/reference-isometric.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:920bba9b04418505c8d168eab4119db21ea6aaf60bfdbd4d25551e62bf3bd9a0 -size 71264 diff --git a/coffee-pilot/reference-side.png b/coffee-pilot/reference-side.png deleted file mode 100644 index 0d524f2a8786e318e165d2d511b227b696b6842b..0000000000000000000000000000000000000000 --- a/coffee-pilot/reference-side.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f1e8bf9181ffae75c4f612a5713b257bf06f9f83dcf50b6c27bbefed580f37ce -size 85101 diff --git a/coffee-pilot/result.json b/coffee-pilot/result.json deleted file mode 100644 index 27d67f9124cc7a3cc9c53f48c5dce51909f6243f..0000000000000000000000000000000000000000 --- a/coffee-pilot/result.json +++ /dev/null @@ -1,341 +0,0 @@ -{ - "schema": "simready-full-HF-attempt-verification-v1", - "pipeline_status": "validated_with_reported_transport_and_telemetry_limitations", - "outbound_requests": 32, - "HF_HTTP_200": 22, - "HF_HTTP_429": 10, - "successful_model_turns": 22, - "native_assistant_attempts": 33, - "local_budget_denials": 1, - "tool_calls": { - "read": 3, - "write": 1, - "bash": 10, - "edit": 9, - "mcp__benchmark": 1 - }, - "tool_calls_total": 24, - "actor_validation_calls": 1, - "NVIDIA_score_percent": 78.47826086956522, - "NVIDIA_passed": 38, - "NVIDIA_fixed_denominator": 46, - "strict_acceptance": false, - "fidelity": { - "joints": { - "status": "measured", - "score_percent": 0.0, - "earned": 0, - "eligible": 9, - "coverage_fraction": 1.0 - }, - "materials": { - "status": "measured", - "score_percent": 0.0, - "earned": 0, - "eligible": 20480, - "coverage_fraction": 0.8333333333333334 - }, - "rigid_parts": { - "status": "measured", - "score_percent": 0.0, - "earned": 0.0, - "eligible": 2, - "coverage_fraction": 1.0 - }, - "shape": { - "status": "measured", - "score_percent": 0.0, - "earned": 0.0, - "eligible": 1, - "coverage_fraction": 1.0 - } - }, - "estimated_HF_usage_USD": 0.02772292, - "reported_prompt_tokens": 186938, - "reported_completion_tokens": 3879, - "agent_and_evaluation_seconds": 192.63297499902546, - "allocation_through_export_and_cleanup_seconds": 335.4055610457435, - "verified_downloaded_files": 373, - "frozen_trajectory_events": 23, - "capture_PNGs": 77, - "cleanup_confirmed": true, - "historical_Daytona_metrics": "unavailable_API_error", - "retry_policy": "Pi auto_retry events declare maxAttempts=3; observed delayMs=2000 or4000. Harbor whole-trial max_retries=0. Trusted host relay performs no retries. Every forwarded retry consumes one request slot; reservations are not refunded.", - "turns": [ - { - "event": "turn-1", - "successful_model_turn": 1, - "status": "invalid_candidate", - "score_percent": 0.0, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 0, - "unknown_reason": null, - "snapshot_sha256": "88a295e5450670af19eda5c615c07234001780fbab8f09f42d2117b133998eb9" - }, - { - "event": "turn-2", - "successful_model_turn": 2, - "status": "invalid_candidate", - "score_percent": 0.0, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 0, - "unknown_reason": null, - "snapshot_sha256": "88a295e5450670af19eda5c615c07234001780fbab8f09f42d2117b133998eb9" - }, - { - "event": "turn-3", - "successful_model_turn": 3, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-4", - "successful_model_turn": 4, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-5", - "successful_model_turn": 5, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-6", - "successful_model_turn": 6, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-7", - "successful_model_turn": 7, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-8", - "successful_model_turn": 8, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-9", - "successful_model_turn": 9, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - "passed": 0, - "unknown": 46, - "unknown_reason": "validator_infrastructure_error", - "snapshot_sha256": "6184ea997ffc576379db22ac0b7959bef4a2fb0aa3f3bb3ba2f7d4fcd0e4d657" - }, - { - "event": "turn-10", - "successful_model_turn": 10, - "status": "unknown", - "score_percent": null, - "fixed_requirement_count": 46, - 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} - ], - "scope": "single_rate_limit_affected_pipeline_pilot_not_canonical25_ranking", - "model": "google/gemma-4-31B-it:novita", - "harness": "Pi 0.85.1", - "skills": [], - "asset": "food_beverage_coffeeCup_a01", - "source_revision": "f4860aa0c75607adb50a78bf96e77510bffc040f", - "protocol": "authoring-32-native-output-v1", - "scorer": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1", - "fidelity_version": "source-usd-fidelity-v2", - "completion_token_cap": null, - "resource_metrics": { - "scope": "latest_sample_not_peak", - "cpu_count": 2, - "memory_limit_GiB": 6, - "disk_limit_GiB": 10, - "latest_CPU_percent": 34.46316643896857, - "latest_memory_bytes_including_cache": 6438207488, - "latest_memory_cache_bytes": 5555036160, - "latest_disk_bytes": 136720384, - "history": null, - "history_status": "unavailable_API_error" - } -} diff --git a/coffee-pilot/submission/asset.usd b/coffee-pilot/submission/asset.usd deleted file mode 100644 index e74a102e3f9381339a320ee43495a4583f0167b2..0000000000000000000000000000000000000000 Binary files a/coffee-pilot/submission/asset.usd and /dev/null differ diff --git a/coffee-pilot/validation-feedback.json b/coffee-pilot/validation-feedback.json deleted file mode 100644 index 88bade3191bc35a7eb023b85ad03a0abada85f96..0000000000000000000000000000000000000000 --- a/coffee-pilot/validation-feedback.json +++ /dev/null @@ -1,292 +0,0 @@ -{ - "schema": "simready-retained-model-feedback-v1", - "scope": "actual_tool_result_observed_in_subsequent_HF_request", - "tool_call_id": "chatcmpl-tool-aba51270fdf66e28", - "response": { - "request_id": "check-1", - "snapshot_sha256": "dea9291aec4580fd41fbb0daf0280ef933dc5d4883299accd0a3b1027112adca", - "status": "completed", - "validation_calls_used": 1, - "validation_calls_remaining": 4, - "feedback": { - "schema_version": "simready-validator-feedback-v1", - "snapshot_sha256": "dea9291aec4580fd41fbb0daf0280ef933dc5d4883299accd0a3b1027112adca", - "reward": 78.47826086956522, - "simready": { - "schema": "simready-validator-score-v1", - "policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1", - "status": "scored", - "score_percent": 78.47826086956522, - "base_credit_percent": 78.47826086956522, - "completion_bonus": 0, - "passed_count": 38, - "failed_count": 8, - "unknown_count": 0, - "applicable_count": 46, - "official_conformance": { - "profile": { - "id": "Robotics-Prop", - "version": "4.0.0" - }, - "passed": false, - "filtered": false - }, - "checks": [ - { - "requirement_id": "com.nvidia.simready.HI.010", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.002", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.003", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.004", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.005", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.007", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.NP.008", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.RB.001", - "status": "fail", - "finding_count": 1 - }, - { - "requirement_id": "com.nvidia.simready.RB.007", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.simready.RB.010", - 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"status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.AA.001", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.AA.002", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.HI.001", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.HI.003", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.HI.004", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.RB.003", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.RB.005", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.RB.009", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.RB.COL.004", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VG.002", - "status": "fail", - "finding_count": 2 - }, - { - "requirement_id": "com.nvidia.usd.VG.014", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VG.027", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VG.028", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VG.029", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VM.BIND.001", - "status": "pass", - "finding_count": 0 - }, - { - "requirement_id": "com.nvidia.usd.VM.PS.001", - "status": "pass", - "finding_count": 0 - } - ] - }, - "nvidia_validator_report": { - "available": true, - "report_id": "f7cb4af0280f8c693e6a868818ab836dc668db264bf80b5e083febf1c5422fb1", - "sha256": "f7cb4af0280f8c693e6a868818ab836dc668db264bf80b5e083febf1c5422fb1", - "bytes": 153442, - "total_characters": 153442, - "issue_counts": { - "issues": 11, - "soft_issues": 21, - "warnings": 0, - "infos": 0 - }, - "complete_report_available": true, - "delivery": "agent_file", - "report": null, - "retrieval_tool": "get_validation_report", - "offset_unit": "Unicode_code_points", - "search_hint": "rg -n -m 20 -M 240 --max-columns-preview -F -e -e ; use sed -n ,p for nearby lines", - "redactions": "private host paths and credential patterns only; original diagnostic wording, suggestions and candidate USD sites retained", - "file_available": true, - "validation_calls_consumed": 0 - } - }, - "visual_feedback_status": "separate_diagnostic_only" - } -} diff --git a/coffee-pilot/wire-audit.json b/coffee-pilot/wire-audit.json deleted file mode 100644 index 6a28ff7f727924e0db9784cae673250e6bde4fbd..0000000000000000000000000000000000000000 --- a/coffee-pilot/wire-audit.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "schema": "simready-retained-HF-wire-audit-v1", - "route": "google/gemma-4-31B-it:novita", - "maximum_observed_inflight": 1, - "all_32_requests_stream_and_request_usage": true, - "all_22_HTTP200_streams_end_DONE": true, - "usage_chunk_choices_empty_and_after_finish": true, - "streamed_tool_calls_by_index_and_ID": 24, - "tool_results_correlated_to_real_ids": 23, - "tool_results_not_sent_due_to_final_request_ceiling": 1, - "original_input_PNG_SHA256_verified": "b0b6cf945bc4b3b0599d997d2ecbaee61a42fda6143ee966b511a470af5b7a74", - "raw_request_bytes_min": 1273359, - "raw_request_bytes_max": 1311237, - "wire_generation_fields": { - "temperature": null, - "top_p": null, - "top_k": null, - "reasoning_effort": null, - "max_tokens": null, - "max_completion_tokens": null, - "max_output_tokens": null, - "store": false - }, - "interpretation": "No Muse route was used. Pi thinking/metadata flags are not proof of provider-side reasoning control. Missing generation fields use provider defaults; store=false was sent but provider retention semantics are not established.", - "429_error_types": { - "server_overload": 10 - }, - "429_source_attribution": "Novita route via HF; body matches documented Novita server_overload. Exact emitting layer not proven because upstream headers were not retained.", - "upstream_rate_limit_headers": "not retained in RC15; unavailable, not absent", - "billing": "priced reported usage estimate, not invoice; uncertain historical reservations remain held" -}