Text Generation
Transformers
Safetensors
MLX
code
llama
fill-in-the-middle
multi-token-prediction
speculative-decoding
apple-silicon
text-generation-inference
Instructions to use philipjohnbasile/wisp-coder-110m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philipjohnbasile/wisp-coder-110m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="philipjohnbasile/wisp-coder-110m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("philipjohnbasile/wisp-coder-110m") model = AutoModelForCausalLM.from_pretrained("philipjohnbasile/wisp-coder-110m", device_map="auto") - MLX
How to use philipjohnbasile/wisp-coder-110m with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("philipjohnbasile/wisp-coder-110m") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use philipjohnbasile/wisp-coder-110m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "philipjohnbasile/wisp-coder-110m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "philipjohnbasile/wisp-coder-110m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/philipjohnbasile/wisp-coder-110m
- SGLang
How to use philipjohnbasile/wisp-coder-110m with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "philipjohnbasile/wisp-coder-110m" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "philipjohnbasile/wisp-coder-110m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "philipjohnbasile/wisp-coder-110m" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "philipjohnbasile/wisp-coder-110m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - MLX LM
How to use philipjohnbasile/wisp-coder-110m with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "philipjohnbasile/wisp-coder-110m" --prompt "Once upon a time"
- Docker Model Runner
How to use philipjohnbasile/wisp-coder-110m with Docker Model Runner:
docker model run hf.co/philipjohnbasile/wisp-coder-110m
- Atomic Chat
File size: 81,174 Bytes
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2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 2310 2311 2312 2313 2314 2315 2316 2317 2318 2319 2320 2321 2322 2323 2324 2325 2326 2327 2328 2329 2330 2331 | """Fail-closed audit over every artifact required for a Wisp release.
Research outcomes are evidence, not publication gates. A null or negative
registered result remains releasable when the result is internally consistent,
bound to the final checkpoint, and reported honestly.
Usage:
.venv/bin/python scripts/release_audit.py \
--ckpt out/run1/ckpt_latest \
--validation out/run1/final_validation.json \
--trained-acceptance out/run1/acceptance.trained.json \
--control-acceptance \
out/run1-untrained/acceptance.untrained-control.json \
--acceptance-comparison \
out/run1/acceptance.control-comparison.json \
--ablation-ckpt out/run2-no-fim/ckpt_latest \
--ablation-acceptance \
out/run2-no-fim/acceptance.no-fim-ablation.json \
--format-ablation \
out/run2-no-fim/acceptance.format-ablation.json \
--rollout out/run1/rollout.registered.v3.json \
--rollout-verification \
out/run1/rollout.replay-verification.v3.json \
--export export/wisp-coder-110m \
--external-verification \
out/run1/external_export_verification.json \
--out out/run1/release_audit.json
"""
import argparse
from datetime import datetime, timezone
import hashlib
import json
import math
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from compare_acceptance import compare_reports # noqa: E402
from compare_format_ablation import ( # noqa: E402
validate_comparison_report as validate_format_comparison,
)
from e2_contract import validate_e2_evaluation_inputs # noqa: E402
from hf_metadata import ( # noqa: E402
file_sha256,
render_evaluation_section,
render_model_card,
validate_export_checkpoint,
validate_external_verification_receipt,
verify_export_manifest,
write_json_atomic,
)
from rollout_metrics import ( # noqa: E402
NEAR_TIE_MAX_ULPS,
V3_ATTESTATION_PROVENANCE_SCOPE,
V3_INSTRUMENT_VERSION,
V3_REPLAY_VERIFICATION_ARGV,
V3_REPLAY_VERIFIER_METHOD,
V3_REPLAY_REFERENCE,
V3_REPLAY_RULE,
V3_REPORT_SCHEMA_VERSION,
bf16_ulp,
canonical_json_sha256,
metric_value,
paired_mean_difference_ci,
select_policy,
summarize_policy,
summarize_policy_v3,
token_ids_sha256,
validate_cross_policy_trajectories,
validate_divergence_evidence,
validate_pair_payload_manifest,
validate_rollout_checkpoint,
validate_rollout_receipt,
)
from training_data_contract import ( # noqa: E402
validate_publication_text,
validate_training_data_receipt,
)
from validation_metrics import ( # noqa: E402
summarize_validation,
validate_validation_checkpoint,
validate_validation_receipt,
)
SCHEMA_VERSION = 2
def load_json_snapshot(path):
with open(path, "rb") as f:
content = f.read()
digest = hashlib.sha256(content).hexdigest()
try:
value = json.loads(content)
except (UnicodeDecodeError, json.JSONDecodeError) as exc:
raise ValueError(f"{path}: invalid JSON: {exc}") from exc
if not isinstance(value, dict):
raise ValueError(f"{path}: top-level JSON value must be an object")
return value, digest
def checkpoint_identity(ckpt_dir):
paths = {
"meta": os.path.join(ckpt_dir, "meta.json"),
"master": os.path.join(ckpt_dir, "master.safetensors"),
"optimizer": os.path.join(ckpt_dir, "optimizer.safetensors"),
}
meta, meta_sha256 = load_json_snapshot(paths["meta"])
validate_export_checkpoint(meta)
return meta, {
"path": os.path.abspath(ckpt_dir),
"step": meta["step"],
"meta_sha256": meta_sha256,
"master_sha256": file_sha256(paths["master"]),
"optimizer_sha256": file_sha256(paths["optimizer"]),
}
def _require(condition, message):
if not condition:
raise ValueError(message)
def _artifact_matches(value, path):
return (
isinstance(value, dict)
and value.get("sha256") == file_sha256(path)
)
def validate_e2_report_sampler(report, e2_evidence):
contract = report.get("publication_contract", {})
_require(
isinstance(contract, dict)
and contract.get("ablation_data_index_sha256")
== e2_evidence.get("ablation_data_index_sha256")
and contract.get("final_train_sampler")
== e2_evidence.get("final_train_sampler")
and contract.get("ablation_data_artifacts")
== e2_evidence.get("ablation_data_artifacts"),
"format-ablation report uses different final sampler evidence",
)
return contract["final_train_sampler"]
def validate_validation_report(
report,
receipt,
receipt_evidence,
checkpoint,
config_path,
data_index_path,
validation_shard_path,
):
_require(report.get("schema_version") == 1, "validation schema is not 1")
_require(
report.get("instrument_version") == receipt.get("instrument_version"),
"validation instrument version differs from its receipt",
)
_require(
report.get("publication_ready") is True,
"validation is not publication-ready",
)
evidence = report.get("receipt", {})
_require(
evidence.get("sha256") == receipt_evidence.get("sha256"),
"validation receipt hash differs from registered input",
)
_require(
evidence.get("registered_at") == receipt_evidence.get("registered_at"),
"validation registration time differs from registered input",
)
_require(
evidence.get("batch_manifest")
== receipt_evidence.get("batch_manifest"),
"validation batch manifest differs from registered input",
)
reported_checkpoint = report.get("checkpoint", {})
for key in ("step", "meta_sha256", "master_sha256", "optimizer_sha256"):
_require(
reported_checkpoint.get(key) == checkpoint.get(key),
f"validation checkpoint {key} differs from final checkpoint",
)
for key, path in (
("config", config_path),
("data_index", data_index_path),
("validation_shard", validation_shard_path),
):
_require(
_artifact_matches(report.get(key), path),
f"validation {key} artifact hash differs",
)
settings = receipt["settings"]
_require(
report.get("settings") == settings,
"validation settings differ from registered settings",
)
rows = report.get("batches")
expected_hashes = receipt_evidence["batch_manifest"]["batch_sha256"]
_require(
isinstance(rows, list) and len(rows) == len(expected_hashes),
"validation row count differs from frozen batches",
)
for index, (row, expected_hash) in enumerate(zip(rows, expected_hashes)):
_require(
row.get("batch") == index and row.get("sha256") == expected_hash,
f"validation batch evidence differs at index {index}",
)
expected_summary = summarize_validation(
rows,
n_boot=settings["bootstrap_samples"],
seed=settings["bootstrap_seed"],
)
_require(
report.get("summary") == expected_summary,
"validation summary does not recompute from batch rows",
)
elapsed = report.get("elapsed_seconds")
_require(
isinstance(elapsed, (int, float))
and not isinstance(elapsed, bool)
and math.isfinite(elapsed)
and elapsed > 0,
"validation elapsed time is not finite and positive",
)
return {
"main_loss": expected_summary["main_loss"],
"main_perplexity": expected_summary["main_perplexity"],
"mtp_loss": expected_summary["mtp_loss"],
"target_tokens": receipt["batch_manifest"]["target_tokens"],
}
def validate_acceptance_bundle(
trained,
trained_sha256,
control,
control_sha256,
comparison,
receipt,
receipt_sha256,
checkpoint,
):
expected = compare_reports(
trained,
control,
receipt,
receipt_sha256,
)
stored_core = {
key: value
for key, value in comparison.items()
if key != "inputs"
}
_require(
stored_core == expected,
"acceptance comparison does not recompute from source reports",
)
inputs = comparison.get("inputs", {})
expected_inputs = {
"trained": trained_sha256,
"control": control_sha256,
"receipt": receipt_sha256,
}
for key, digest in expected_inputs.items():
_require(
inputs.get(key, {}).get("sha256") == digest,
f"acceptance comparison {key} input hash differs",
)
trained_checkpoint = trained.get("checkpoint", {})
for key in ("step", "meta_sha256", "master_sha256"):
_require(
trained_checkpoint.get(key) == checkpoint.get(key),
f"trained acceptance checkpoint {key} differs from final checkpoint",
)
control_checkpoint = control.get("checkpoint", {})
_require(
control_checkpoint.get("master_sha256") != checkpoint["master_sha256"],
"untrained control uses the final trained weights",
)
return {
"trained_primary_endpoint": expected["trained_primary_endpoint"],
"control_adjustment": expected["trained_minus_untrained_ratio"],
"combined_interpretation": expected["combined_interpretation"],
"documents": expected["documents"],
}
def _manifest_sha256(rows):
encoded = json.dumps(
rows, sort_keys=True, separators=(",", ":")
).encode("utf-8")
return hashlib.sha256(encoded).hexdigest()
def _validate_policy_rows_v2(policy_name, rows, manifest):
_require(
isinstance(rows, list) and len(rows) == len(manifest),
f"rollout policy {policy_name} has the wrong row count",
)
for index, (row, identity) in enumerate(zip(rows, manifest)):
expected = {
"document_id": identity["document_id"],
"decoy_document_id": identity["decoy_document_id"],
"token_offset": identity["token_offset"],
"prompt_sha256": identity["prompt_sha256"],
"target_sha256": identity["target_sha256"],
}
for key, value in expected.items():
_require(
row.get(key) == value,
f"rollout policy {policy_name} row {index} differs on {key}",
)
_require(
row.get("policy") == policy_name,
f"rollout row {index} has the wrong policy label",
)
if row.get("output_matches_ar") is True:
_require(
row.get("output_sha256") == row.get("ar_output_sha256")
and row.get("divergence") is None,
f"rollout policy {policy_name} row {index} claims an exact "
"greedy AR match it does not have",
)
else:
_require(
row.get("output_sha256") != row.get("ar_output_sha256"),
f"rollout policy {policy_name} row {index} diverges from "
"greedy AR yet repeats its output hash",
)
try:
validate_divergence_evidence(row.get("divergence"))
except ValueError as error:
_require(
False,
f"rollout policy {policy_name} row {index} differs from "
f"greedy AR without a certified near-tie: {error}",
)
return summarize_policy(rows)
def _validate_rollout_report_v2(
report,
receipt,
receipt_evidence,
checkpoint,
tokenizer_path,
holdout_path,
):
_require(report.get("schema_version") == 1, "rollout schema is not 1")
_require(
report.get("instrument_version") == receipt.get("instrument_version"),
"rollout instrument version differs from its receipt",
)
_require(
report.get("publication_ready") is True,
"rollout report is not publication-ready",
)
evidence = report.get("receipt", {})
_require(
evidence.get("sha256") == receipt_evidence.get("sha256")
and evidence.get("registered_at") == receipt_evidence.get("registered_at"),
"rollout receipt evidence differs from registered input",
)
reported_checkpoint = report.get("checkpoint", {})
for key in ("step", "meta_sha256", "master_sha256"):
_require(
reported_checkpoint.get(key) == checkpoint.get(key),
f"rollout checkpoint {key} differs from final checkpoint",
)
_require(
_artifact_matches(report.get("tokenizer"), tokenizer_path),
"rollout tokenizer hash differs",
)
_require(
_artifact_matches(report.get("holdout"), holdout_path),
"rollout holdout hash differs",
)
pair_settings = receipt["pair_settings"]
holdout = report["holdout"]
manifest = holdout.get("pair_manifest")
_require(
isinstance(manifest, list)
and len(manifest) == pair_settings["examples"],
"rollout pair manifest has the wrong size",
)
_require(
holdout.get("pair_count") == pair_settings["examples"]
and holdout.get("pair_manifest_sha256")
== pair_settings["pair_manifest_sha256"]
and _manifest_sha256(manifest)
== pair_settings["pair_manifest_sha256"],
"rollout pair manifest differs from registered identity",
)
_require(
holdout.get("decoy_match") == {"matched": pair_settings["examples"]},
"rollout report includes relaxed decoy matches",
)
split = receipt["split"]
calibration_count = split["calibration_documents"]
calibration_manifest = manifest[:calibration_count]
test_manifest = manifest[calibration_count:]
policy = receipt["policy"]
candidate_order = [
*policy["fixed_candidates"],
*policy["adaptive_candidates"],
]
calibration = report.get("calibration", {})
calibration_rows = calibration.get("rows", {})
_require(
calibration.get("documents") == len(calibration_manifest)
and calibration.get("candidate_order") == candidate_order
and set(calibration_rows) == set(candidate_order),
"rollout calibration split or candidate order differs",
)
calibration_summaries = {
name: _validate_policy_rows_v2(
name, calibration_rows[name], calibration_manifest
)
for name in candidate_order
}
_require(
calibration.get("summaries") == calibration_summaries,
"rollout calibration summaries do not recompute",
)
selected_fixed = select_policy(
calibration_summaries,
policy["fixed_candidates"],
policy["selection_metric"],
)
selected_adaptive = select_policy(
calibration_summaries,
policy["adaptive_candidates"],
policy["selection_metric"],
)
_require(
calibration.get("selected_fixed") == selected_fixed
and calibration.get("selected_adaptive") == selected_adaptive,
"rollout stored policy selection differs from calibration",
)
selected_names = [
selected_fixed["policy"],
selected_adaptive["policy"],
]
test = report.get("test", {})
test_rows = test.get("rows", {})
_require(
test.get("documents") == len(test_manifest)
and set(test_rows) == set(selected_names),
"rollout test split contains the wrong policies or documents",
)
test_summaries = {
name: _validate_policy_rows_v2(name, test_rows[name], test_manifest)
for name in selected_names
}
_require(
test.get("summaries") == test_summaries,
"rollout test summaries do not recompute",
)
audited_rows = [
row
for rows in (calibration_rows, test_rows)
for name in rows
for row in rows[name]
]
exact_matches = sum(
1 for row in audited_rows if row.get("output_matches_ar") is True
)
_require(
report.get("quality_gate")
== {
"reference": "greedy_ar",
"rule": "exact_token_match_or_certified_near_tie",
"near_tie_max_ulps": NEAR_TIE_MAX_ULPS,
"exact_ar_matches": exact_matches,
"certified_divergences": len(audited_rows) - exact_matches,
"passed": True,
},
"rollout quality equivalence gate did not pass exactly",
)
endpoint = receipt["test_endpoint"]
metric = endpoint["metric"]
adaptive_rows = test_rows[selected_adaptive["policy"]]
fixed_rows = test_rows[selected_fixed["policy"]]
adaptive_values = [metric_value(row, metric) for row in adaptive_rows]
fixed_values = [metric_value(row, metric) for row in fixed_rows]
difference, lo, hi = paired_mean_difference_ci(
adaptive_values,
fixed_values,
n_boot=endpoint["bootstrap_samples"],
seed=endpoint["bootstrap_seed"],
)
if lo > 0:
verdict = "POSITIVE"
elif hi < 0:
verdict = "NEGATIVE"
else:
verdict = "NULL: the interval includes 0"
expected_primary = {
"comparison": endpoint["comparison"],
"metric": metric,
"adaptive_policy": selected_adaptive["policy"],
"fixed_policy": selected_fixed["policy"],
"difference": difference,
"ci95": [lo, hi],
"documents": len(test_manifest),
"verdict": verdict,
}
_require(
report.get("primary_endpoint") == expected_primary,
"rollout primary endpoint does not recompute from test rows",
)
secondary_metric = "output_tokens_per_target_forward"
secondary_adaptive = [
metric_value(row, secondary_metric) for row in adaptive_rows
]
secondary_fixed = [
metric_value(row, secondary_metric) for row in fixed_rows
]
secondary_difference, secondary_lo, secondary_hi = (
paired_mean_difference_ci(
secondary_adaptive,
secondary_fixed,
n_boot=endpoint["bootstrap_samples"],
seed=endpoint["bootstrap_seed"],
)
)
expected_secondary = {
"metric": secondary_metric,
"difference": secondary_difference,
"ci95": [secondary_lo, secondary_hi],
"documents": len(test_manifest),
}
_require(
report.get("secondary_target_forward_endpoint")
== expected_secondary,
"rollout secondary endpoint does not recompute from test rows",
)
return {
"selected_fixed": selected_fixed,
"selected_adaptive": selected_adaptive,
"primary_endpoint": expected_primary,
"secondary_target_forward_endpoint": expected_secondary,
"quality_equivalent_to_greedy_ar": False,
"branch_local_replay_valid": False,
"cross_policy_trajectory_identical": False,
"historical_instrument_only": True,
}
_V3_ROLLOUT_ROW_KEYS = {
"pair_index",
"seed",
"document_id",
"decoy_document_id",
"token_offset",
"policy",
"prompt_sha256",
"target_sha256",
"ar_output_sha256",
"ar_output_token_ids",
"output_sha256",
"output_token_ids",
"output_matches_ar",
"cached_ar_diagnostic",
"trace_sha256",
"generation_trace",
"branch_replay",
"tokens",
"accepted_drafts",
"verification_forwards",
"target_forwards",
"drafts_issued",
"draft_recursions",
"corrections",
"elapsed_seconds",
"ar_tok_per_sec",
"rollout",
"target_position_accuracy",
"target_common_prefix_tokens",
"target_exact_match",
}
_V3_REPORT_KEYS = {
"schema_version",
"instrument_version",
"publication_ready",
"execution",
"receipt",
"checkpoint",
"tokenizer",
"holdout",
"calibration",
"test",
"quality_gate",
"cached_ar_diagnostic",
"primary_endpoint",
"secondary_target_forward_endpoint",
"secondary_draft_issued_proxy_endpoint",
"secondary_draft_work_endpoint",
"wall_clock_note",
"endpoint_scope_note",
}
_V3_WALL_CLOCK_NOTE = (
"This reference recomputes full prefixes and has no rollback-capable "
"KV cache. Wall time is recorded for audit, not claimed as deployment "
"latency."
)
_V3_ENDPOINT_SCOPE_NOTE = (
"The primary endpoint measures accepted drafts per verification. "
"It does not establish verification-width cost or deployment latency. "
"Draft recursions per output token is the registered drafter-work "
"companion; issued drafts per output token is retained only as an issuance "
"proxy. Target forwards exclude the added post-hoc branch-replay forward "
"and independent verification pass."
)
def _validate_v3_execution(execution, receipt, receipt_evidence):
_require(
isinstance(execution, dict)
and set(execution) == {"started_at", "completed_at", "argv", "runtime"},
"rollout v3 execution evidence has the wrong fields",
)
timestamps = []
for key in ("started_at", "completed_at"):
value = execution[key]
_require(
isinstance(value, str) and value.endswith("Z"),
f"rollout v3 execution {key} is not a UTC timestamp",
)
try:
parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
except ValueError as error:
raise ValueError(
f"rollout v3 execution {key} is not an ISO timestamp"
) from error
_require(
parsed.utcoffset() == timezone.utc.utcoffset(parsed),
f"rollout v3 execution {key} is not UTC",
)
timestamps.append(parsed)
_require(
timestamps[0] <= timestamps[1],
"rollout v3 execution completes before it starts",
)
registered_at = receipt.get("registered_at")
_require(
registered_at == receipt_evidence.get("registered_at")
and isinstance(registered_at, str)
and registered_at.endswith("Z"),
"rollout v3 registration timestamp differs from its receipt evidence",
)
try:
registered_timestamp = datetime.fromisoformat(
registered_at.replace("Z", "+00:00")
)
except ValueError as error:
raise ValueError(
"rollout v3 registration timestamp is not ISO-8601"
) from error
_require(
registered_timestamp.utcoffset()
== timezone.utc.utcoffset(registered_timestamp)
and registered_timestamp <= timestamps[0],
"rollout v3 execution started before registration",
)
registration_git = receipt_evidence.get("registration_git")
_require(
isinstance(registration_git, dict)
and set(registration_git)
== {"commit", "committed_at", "path", "blob_sha256", "origin_ref"}
and isinstance(registration_git["commit"], str)
and len(registration_git["commit"]) == 40
and registration_git["path"] == "config/eval_rollout_receipt_v3.json"
and registration_git["blob_sha256"] == receipt_evidence["sha256"]
and registration_git["origin_ref"] == "origin/main",
"rollout v3 pushed registration-commit evidence differs",
)
try:
committed_timestamp = datetime.fromisoformat(
registration_git["committed_at"].replace("Z", "+00:00")
)
except (AttributeError, ValueError) as error:
raise ValueError(
"rollout v3 registration commit time is not ISO-8601"
) from error
_require(
committed_timestamp.tzinfo is not None
and registered_timestamp <= committed_timestamp <= timestamps[0],
"rollout v3 receipt was not committed before execution",
)
argv = execution["argv"]
_require(
isinstance(argv, list)
and bool(argv)
and all(isinstance(value, str) for value in argv),
"rollout v3 execution argv is invalid",
)
_require(
argv == receipt.get("execution_argv")
and receipt_evidence.get("execution_argv") == argv,
"rollout v3 execution argv differs from registration",
)
runtime = execution["runtime"]
expected_runtime = {"python", "mlx", "numpy", "tokenizers", "platform"}
_require(
isinstance(runtime, dict)
and set(runtime) == expected_runtime
and all(
isinstance(runtime[key], str) and bool(runtime[key])
for key in expected_runtime
),
"rollout v3 runtime evidence is invalid",
)
registered_runtime = receipt.get("runtime_requirements")
_require(
isinstance(registered_runtime, dict)
and receipt_evidence.get("runtime_requirements") == registered_runtime
and {
key: runtime[key]
for key in ("python", "mlx", "numpy", "tokenizers")
}
== registered_runtime,
"rollout v3 runtime differs from its registered environment",
)
def _validate_v3_artifact(value, path, label):
_require(
isinstance(value, dict)
and set(value) == {"path", "sha256"}
and isinstance(value["path"], str)
and os.path.abspath(value["path"]) == os.path.abspath(path)
and value["sha256"] == file_sha256(path),
f"rollout v3 {label} identity differs",
)
def _validate_v3_policy_rows(
policy_name,
rows,
pair_payloads,
*,
decoding_seed,
max_depth,
max_tokens,
vocab_size,
):
_require(
isinstance(rows, list) and len(rows) == len(pair_payloads),
f"rollout v3 policy {policy_name} has the wrong row count",
)
if policy_name.startswith("fixed_d"):
expected_policy = "fixed"
expected_threshold = None
try:
expected_depth = int(policy_name.removeprefix("fixed_d"))
except ValueError as error:
raise ValueError(
f"rollout v3 policy {policy_name} is malformed"
) from error
elif policy_name.startswith("adaptive_h"):
expected_policy = "adaptive"
try:
expected_threshold = float(
policy_name.removeprefix("adaptive_h")
)
except ValueError as error:
raise ValueError(
f"rollout v3 policy {policy_name} is malformed"
) from error
expected_depth = max_depth
else:
raise ValueError(f"rollout v3 policy {policy_name} is unknown")
_require(
1 <= expected_depth <= max_depth,
f"rollout v3 policy {policy_name} depth differs from registration",
)
for local_index, (row, payload) in enumerate(zip(rows, pair_payloads)):
_require(
isinstance(row, dict) and set(row) == _V3_ROLLOUT_ROW_KEYS,
f"rollout v3 policy {policy_name} row {local_index} "
"has the wrong fields",
)
expected_identity = {
"pair_index": payload["index"],
"seed": decoding_seed + local_index,
"document_id": payload["document_id"],
"decoy_document_id": payload["decoy_document_id"],
"token_offset": payload["token_offset"],
"policy": policy_name,
"prompt_sha256": payload["prompt_sha256"],
"target_sha256": payload["target_sha256"],
}
for key, expected in expected_identity.items():
_require(
row.get(key) == expected,
f"rollout v3 policy {policy_name} row {local_index} "
f"differs on {key}",
)
rollout = row.get("rollout")
_require(
isinstance(rollout, dict)
and rollout.get("policy") == expected_policy
and rollout.get("entropy_threshold") == expected_threshold,
f"rollout v3 policy {policy_name} row {local_index} "
"runtime policy differs",
)
accepted_by_depth = rollout.get("rollout_accepted_per_depth")
trials_by_depth = rollout.get("rollout_trials_per_depth")
_require(
isinstance(accepted_by_depth, list)
and isinstance(trials_by_depth, list)
and len(accepted_by_depth) == expected_depth
and len(trials_by_depth) == expected_depth,
f"rollout v3 policy {policy_name} row {local_index} "
"runtime depth differs",
)
ar_tok_per_sec = row.get("ar_tok_per_sec")
_require(
isinstance(ar_tok_per_sec, (int, float))
and not isinstance(ar_tok_per_sec, bool)
and math.isfinite(ar_tok_per_sec)
and ar_tok_per_sec > 0,
f"rollout v3 policy {policy_name} row {local_index} "
"cached AR timing is invalid",
)
try:
return summarize_policy_v3(
rows,
pair_payloads,
max_tokens=max_tokens,
vocab_size=vocab_size,
)
except (KeyError, TypeError, ValueError) as error:
raise ValueError(
f"rollout v3 policy {policy_name} evidence is invalid: {error}"
) from error
def _rollout_endpoint_result(
specification,
adaptive_rows,
fixed_rows,
*,
adaptive_policy,
fixed_policy,
documents,
):
metric = specification["metric"]
adaptive_values = [metric_value(row, metric) for row in adaptive_rows]
fixed_values = [metric_value(row, metric) for row in fixed_rows]
difference, lo, hi = paired_mean_difference_ci(
adaptive_values,
fixed_values,
n_boot=specification["bootstrap_samples"],
seed=specification["bootstrap_seed"],
)
if lo > 0:
verdict = "POSITIVE"
elif hi < 0:
verdict = "NEGATIVE"
else:
verdict = "NULL: the interval includes 0"
return {
"comparison": specification["comparison"],
"metric": metric,
"adaptive_policy": adaptive_policy,
"fixed_policy": fixed_policy,
"difference": difference,
"ci95": [lo, hi],
"documents": documents,
"verdict": verdict,
}
def _validate_rollout_report_v3(
report,
receipt,
receipt_evidence,
checkpoint,
tokenizer_path,
holdout_path,
):
_require(
isinstance(report, dict) and set(report) == _V3_REPORT_KEYS,
"rollout v3 report has the wrong fields",
)
_require(
report.get("schema_version") == V3_REPORT_SCHEMA_VERSION,
f"rollout v3 schema is not {V3_REPORT_SCHEMA_VERSION}",
)
_require(
report.get("instrument_version") == V3_INSTRUMENT_VERSION
and receipt.get("instrument_version") == V3_INSTRUMENT_VERSION,
"rollout v3 instrument differs from its receipt",
)
_require(
report.get("publication_ready") is True,
"rollout v3 report is not publication-ready",
)
_validate_v3_execution(report.get("execution"), receipt, receipt_evidence)
_require(
report.get("receipt") == receipt_evidence,
"rollout v3 receipt evidence differs from registered input",
)
reported_checkpoint = report.get("checkpoint")
_require(
isinstance(reported_checkpoint, dict)
and set(reported_checkpoint)
== {"path", "step", "meta_sha256", "master_sha256"}
and isinstance(reported_checkpoint["path"], str),
"rollout v3 checkpoint evidence has the wrong fields",
)
for key in ("step", "meta_sha256", "master_sha256"):
_require(
reported_checkpoint.get(key) == checkpoint.get(key),
f"rollout v3 checkpoint {key} differs from final checkpoint",
)
registered_checkpoint = receipt.get("checkpoint")
_require(
isinstance(registered_checkpoint, dict)
and receipt_evidence.get("checkpoint") == registered_checkpoint
and reported_checkpoint["meta_sha256"]
== registered_checkpoint.get("meta_sha256")
and reported_checkpoint["master_sha256"]
== registered_checkpoint.get("master_sha256")
and os.path.abspath(reported_checkpoint["path"])
== os.path.abspath(registered_checkpoint.get("path", "")),
"rollout v3 checkpoint differs from registration",
)
_validate_v3_artifact(report.get("tokenizer"), tokenizer_path, "tokenizer")
holdout = report.get("holdout")
expected_holdout_keys = {
"path",
"sha256",
"pair_count",
"pair_manifest_sha256",
"pair_manifest",
"pair_payload_manifest_sha256",
"pair_payload_manifest",
"decoy_match",
}
_require(
isinstance(holdout, dict) and set(holdout) == expected_holdout_keys,
"rollout v3 holdout evidence has the wrong fields",
)
_require(
isinstance(holdout["path"], str)
and os.path.abspath(holdout["path"]) == os.path.abspath(holdout_path)
and holdout["sha256"] == file_sha256(holdout_path),
"rollout v3 holdout identity differs",
)
pair_settings = receipt["pair_settings"]
manifest = holdout["pair_manifest"]
_require(
isinstance(manifest, list)
and len(manifest) == pair_settings["examples"],
"rollout v3 pair manifest has the wrong size",
)
expected_identity_keys = {
"index",
"document_id",
"decoy_document_id",
"token_offset",
"prompt_sha256",
"target_sha256",
}
for index, identity in enumerate(manifest):
_require(
isinstance(identity, dict)
and set(identity) == expected_identity_keys
and identity.get("index") == index,
f"rollout v3 pair identity {index} is malformed",
)
_require(
holdout["pair_count"] == pair_settings["examples"]
and holdout["pair_manifest_sha256"]
== pair_settings["pair_manifest_sha256"]
and _manifest_sha256(manifest)
== pair_settings["pair_manifest_sha256"],
"rollout v3 pair manifest differs from registered identity",
)
payload_manifest = holdout["pair_payload_manifest"]
payload_digest = validate_pair_payload_manifest(
payload_manifest,
manifest,
max_tokens=receipt["decoding"]["max_tokens"],
vocab_size=receipt["model_vocab_size"],
)
_require(
payload_digest == holdout["pair_payload_manifest_sha256"]
and payload_digest
== pair_settings["pair_payload_manifest_sha256"],
"rollout v3 pair payload manifest differs from registration",
)
_require(
holdout["decoy_match"] == {"matched": pair_settings["examples"]},
"rollout v3 report includes relaxed decoy matches",
)
split = receipt["split"]
calibration_count = split["calibration_documents"]
_require(
calibration_count + split["test_documents"] == len(manifest),
"rollout v3 frozen split does not cover the pair manifest",
)
calibration_payloads = payload_manifest[:calibration_count]
test_payloads = payload_manifest[calibration_count:]
policy = receipt["policy"]
candidate_order = [
*policy["fixed_candidates"],
*policy["adaptive_candidates"],
]
decoding = receipt["decoding"]
calibration = report.get("calibration")
_require(
isinstance(calibration, dict)
and set(calibration)
== {
"documents",
"candidate_order",
"trajectory_identity",
"summaries",
"selected_fixed",
"selected_adaptive",
"rows",
},
"rollout v3 calibration evidence has the wrong fields",
)
calibration_rows = calibration["rows"]
_require(
calibration["documents"] == len(calibration_payloads)
and calibration["candidate_order"] == candidate_order
and isinstance(calibration_rows, dict)
and set(calibration_rows) == set(candidate_order),
"rollout v3 calibration split or candidate order differs",
)
calibration_summaries = {
name: _validate_v3_policy_rows(
name,
calibration_rows[name],
calibration_payloads,
decoding_seed=decoding["seed"],
max_depth=policy["max_depth"],
max_tokens=decoding["max_tokens"],
vocab_size=receipt["model_vocab_size"],
)
for name in candidate_order
}
_require(
calibration["summaries"] == calibration_summaries,
"rollout v3 calibration summaries do not recompute",
)
calibration_trajectory = validate_cross_policy_trajectories(
calibration_rows, candidate_order
)
_require(
calibration["trajectory_identity"] == calibration_trajectory,
"rollout v3 calibration trajectory identity does not recompute",
)
selected_fixed = select_policy(
calibration_summaries,
policy["fixed_candidates"],
policy["selection_metric"],
)
selected_adaptive = select_policy(
calibration_summaries,
policy["adaptive_candidates"],
policy["selection_metric"],
)
_require(
calibration["selected_fixed"] == selected_fixed
and calibration["selected_adaptive"] == selected_adaptive,
"rollout v3 stored policy selection differs from calibration",
)
selected_names = [
selected_fixed["policy"],
selected_adaptive["policy"],
]
test = report.get("test")
_require(
isinstance(test, dict)
and set(test)
== {"documents", "trajectory_identity", "summaries", "rows"},
"rollout v3 test evidence has the wrong fields",
)
test_rows = test["rows"]
_require(
test["documents"] == len(test_payloads)
and isinstance(test_rows, dict)
and set(test_rows) == set(selected_names),
"rollout v3 test split contains the wrong policies or documents",
)
test_summaries = {
name: _validate_v3_policy_rows(
name,
test_rows[name],
test_payloads,
decoding_seed=decoding["seed"],
max_depth=policy["max_depth"],
max_tokens=decoding["max_tokens"],
vocab_size=receipt["model_vocab_size"],
)
for name in selected_names
}
_require(
test["summaries"] == test_summaries,
"rollout v3 test summaries do not recompute",
)
test_trajectory = validate_cross_policy_trajectories(
test_rows, selected_names
)
_require(
test["trajectory_identity"] == test_trajectory,
"rollout v3 test trajectory identity does not recompute",
)
all_summaries = [
*calibration_summaries.values(),
*test_summaries.values(),
]
scored_policy_documents = sum(
summary["documents"] for summary in all_summaries
)
scored_tokens = sum(summary["total_tokens"] for summary in all_summaries)
exact_argmax_tokens = sum(
summary["exact_argmax_tokens"] for summary in all_summaries
)
certified_near_tie_tokens = sum(
summary["certified_near_tie_tokens"] for summary in all_summaries
)
branch_replay_passes = sum(
summary["branch_replay_passes"] for summary in all_summaries
)
cross_policy_matches = (
calibration_trajectory["matching_documents"]
+ test_trajectory["matching_documents"]
)
expected_quality = {
"reference": V3_REPLAY_REFERENCE,
"rule": V3_REPLAY_RULE,
"near_tie_max_ulps": NEAR_TIE_MAX_ULPS,
"scored_policy_documents": scored_policy_documents,
"scored_tokens": scored_tokens,
"exact_argmax_tokens": exact_argmax_tokens,
"certified_near_tie_tokens": certified_near_tie_tokens,
"failed_tokens": 0,
"branch_replay_passes": branch_replay_passes,
"cross_policy_trajectory_matches": cross_policy_matches,
"passed": True,
}
_require(
exact_argmax_tokens + certified_near_tie_tokens == scored_tokens
and branch_replay_passes == scored_policy_documents,
"rollout v3 branch-local replay totals do not close",
)
_require(
report.get("quality_gate") == expected_quality,
"rollout v3 quality gate does not recompute",
)
cached_ar_exact = sum(
summary["cached_ar_exact_documents"] for summary in all_summaries
)
expected_cached_diagnostic = {
"scored_policy_documents": scored_policy_documents,
"exact_output_matches": cached_ar_exact,
"different_cached_ar_branches": (
scored_policy_documents - cached_ar_exact
),
"claim_scope": (
"diagnostic_only; release quality is established by "
"branch-local replay, not cached-AR byte identity"
),
}
_require(
report.get("cached_ar_diagnostic") == expected_cached_diagnostic,
"rollout v3 cached-AR diagnostic does not recompute",
)
adaptive_rows = test_rows[selected_adaptive["policy"]]
fixed_rows = test_rows[selected_fixed["policy"]]
expected_primary = _rollout_endpoint_result(
receipt["test_endpoint"],
adaptive_rows,
fixed_rows,
adaptive_policy=selected_adaptive["policy"],
fixed_policy=selected_fixed["policy"],
documents=len(test_payloads),
)
_require(
report.get("primary_endpoint") == expected_primary,
"rollout v3 primary endpoint does not recompute from test rows",
)
companions = receipt.get("companion_endpoints")
_require(
isinstance(companions, list)
and [item.get("metric") for item in companions]
== [
"output_tokens_per_target_forward",
"drafts_issued_per_output_token",
"draft_recursions_per_output_token",
],
"rollout v3 companion endpoint registration differs",
)
expected_companions = {
item["metric"]: _rollout_endpoint_result(
item,
adaptive_rows,
fixed_rows,
adaptive_policy=selected_adaptive["policy"],
fixed_policy=selected_fixed["policy"],
documents=len(test_payloads),
)
for item in companions
}
expected_target_forward = expected_companions[
"output_tokens_per_target_forward"
]
expected_draft_issued_proxy = expected_companions[
"drafts_issued_per_output_token"
]
expected_draft_work = expected_companions[
"draft_recursions_per_output_token"
]
_require(
report.get("secondary_target_forward_endpoint")
== expected_target_forward,
"rollout v3 target-forward endpoint does not recompute from test rows",
)
_require(
report.get("secondary_draft_issued_proxy_endpoint")
== expected_draft_issued_proxy,
"rollout v3 draft-issuance proxy does not recompute from test rows",
)
_require(
report.get("secondary_draft_work_endpoint") == expected_draft_work,
"rollout v3 draft-work endpoint does not recompute from test rows",
)
_require(
report.get("wall_clock_note") == _V3_WALL_CLOCK_NOTE,
"rollout v3 wall-clock claim scope differs",
)
_require(
report.get("endpoint_scope_note") == _V3_ENDPOINT_SCOPE_NOTE,
"rollout v3 endpoint claim scope differs",
)
return {
"selected_fixed": selected_fixed,
"selected_adaptive": selected_adaptive,
"primary_endpoint": expected_primary,
"secondary_target_forward_endpoint": expected_target_forward,
"secondary_draft_issued_proxy_endpoint": expected_draft_issued_proxy,
"secondary_draft_work_endpoint": expected_draft_work,
"quality_equivalent_to_greedy_ar": False,
"branch_local_replay_valid": True,
"cross_policy_trajectory_identical": True,
"historical_instrument_only": False,
}
def validate_rollout_report(
report,
receipt,
receipt_evidence,
checkpoint,
tokenizer_path,
holdout_path,
):
instrument_version = receipt.get("instrument_version")
_require(
report.get("instrument_version") == instrument_version,
"rollout instrument version differs from its receipt",
)
if instrument_version == V3_INSTRUMENT_VERSION:
return _validate_rollout_report_v3(
report,
receipt,
receipt_evidence,
checkpoint,
tokenizer_path,
holdout_path,
)
if instrument_version in (1, 2):
return _validate_rollout_report_v2(
report,
receipt,
receipt_evidence,
checkpoint,
tokenizer_path,
holdout_path,
)
raise ValueError(f"unsupported rollout instrument {instrument_version!r}")
_V3_REPLAY_ATTESTATION_ROW_DOMAIN = (
b"WISP_E3_V3_INDEPENDENT_ROW_MANIFEST\0"
)
def _is_lower_sha256(value):
return (
isinstance(value, str)
and len(value) == 64
and all(character in "0123456789abcdef" for character in value)
)
def _parse_attestation_time(value, label):
_require(
isinstance(value, str) and value.endswith("Z"),
f"{label} is not a UTC timestamp",
)
try:
parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
except ValueError as error:
raise ValueError(f"{label} is not ISO-8601") from error
_require(
parsed.utcoffset() == timezone.utc.utcoffset(parsed),
f"{label} is not UTC",
)
return parsed
def _expected_attestation_rows(report):
expected = []
calibration = report["calibration"]
for local_index in range(calibration["documents"]):
for policy_name in calibration["candidate_order"]:
expected.append(
(
"calibration",
policy_name,
calibration["rows"][policy_name][local_index],
)
)
selected_names = [
calibration["selected_fixed"]["policy"],
calibration["selected_adaptive"]["policy"],
]
test = report["test"]
for local_index in range(test["documents"]):
for policy_name in selected_names:
expected.append(
("test", policy_name, test["rows"][policy_name][local_index])
)
return expected
def _validate_attested_branch_quality(quality, prompt, output, row_index):
expected_keys = {
"input_sha256",
"output_sha256",
"reference_argmax_sha256",
"aligned_logits_float32_le_sha256",
"exact_argmax_tokens",
"certified_near_tie_tokens",
"failed_tokens",
"certified_near_ties",
"failures",
"passed",
}
_require(
isinstance(quality, dict) and set(quality) == expected_keys,
f"independent replay row {row_index} branch-quality fields differ",
)
_require(
quality["input_sha256"] == token_ids_sha256(prompt + output[:-1])
and quality["output_sha256"] == token_ids_sha256(output)
and _is_lower_sha256(quality["reference_argmax_sha256"])
and _is_lower_sha256(quality["aligned_logits_float32_le_sha256"]),
f"independent replay row {row_index} branch hashes differ",
)
exact = quality["exact_argmax_tokens"]
certified_count = quality["certified_near_tie_tokens"]
failed = quality["failed_tokens"]
certified = quality["certified_near_ties"]
failures = quality["failures"]
_require(
isinstance(exact, int)
and not isinstance(exact, bool)
and exact >= 0
and isinstance(certified_count, int)
and not isinstance(certified_count, bool)
and certified_count >= 0
and failed == 0
and isinstance(certified, list)
and len(certified) == certified_count
and failures == []
and quality["passed"] is True
and exact + certified_count == len(output),
f"independent replay row {row_index} branch counts do not close",
)
seen_positions = set()
near_tie_keys = {
"position",
"prefix_sha256",
"row_index",
"emitted_token",
"reference_argmax_token",
"emitted_token_logit",
"row_max_logit",
"reference_logits_float32_le_sha256",
"ulp_at_max",
"max_ulps",
"emitted_token_deficit_ulps",
}
for evidence in certified:
_require(
isinstance(evidence, dict) and set(evidence) == near_tie_keys,
f"independent replay row {row_index} near-tie fields differ",
)
position = evidence["position"]
_require(
isinstance(position, int)
and not isinstance(position, bool)
and 0 <= position < len(output)
and position not in seen_positions
and evidence["prefix_sha256"]
== token_ids_sha256(prompt + output[:position])
and evidence["row_index"] == len(prompt) - 1 + position
and evidence["emitted_token"] == output[position]
and isinstance(evidence["reference_argmax_token"], int)
and not isinstance(evidence["reference_argmax_token"], bool)
and evidence["reference_argmax_token"] != output[position]
and _is_lower_sha256(
evidence["reference_logits_float32_le_sha256"]
),
f"independent replay row {row_index} near-tie binding differs",
)
seen_positions.add(position)
emitted_logit = evidence["emitted_token_logit"]
row_max = evidence["row_max_logit"]
_require(
isinstance(emitted_logit, float)
and math.isfinite(emitted_logit)
and isinstance(row_max, float)
and math.isfinite(row_max)
and emitted_logit <= row_max
and evidence["max_ulps"] == NEAR_TIE_MAX_ULPS,
f"independent replay row {row_index} near-tie numerics differ",
)
ulp = bf16_ulp(row_max)
deficit = (row_max - emitted_logit) / ulp
_require(
evidence["ulp_at_max"] == ulp
and evidence["emitted_token_deficit_ulps"] == deficit
and 0.0 <= deficit <= NEAR_TIE_MAX_ULPS,
f"independent replay row {row_index} near-tie exceeds its gate",
)
return {
"exact_argmax_tokens": exact,
"certified_near_tie_tokens": certified_count,
"failed_tokens": failed,
}
def validate_rollout_replay_attestation(
attestation,
attestation_path,
rollout_path,
rollout_sha256,
receipt_path,
receipt_sha256,
receipt,
report,
checkpoint,
source_root,
):
"""Require a registered, independent replay of quality and execution."""
expected_keys = {
"schema_version",
"instrument_version",
"publication_ready",
"branch_quality_independently_verified",
"rollout_execution_reproduced",
"passed",
"provenance_scope",
"verification",
"time_order",
"report",
"receipt",
"checkpoint",
"verifier",
"frozen_inputs",
"row_manifest_sha256",
"rows",
"aggregate",
}
_require(
isinstance(attestation, dict) and set(attestation) == expected_keys,
"independent rollout replay attestation has the wrong fields",
)
_require(
attestation["schema_version"] == 1
and attestation["instrument_version"] == V3_INSTRUMENT_VERSION
and attestation["publication_ready"] is True
and attestation["branch_quality_independently_verified"] is True
and attestation["rollout_execution_reproduced"] is True
and attestation["passed"] is True,
"independent rollout replay attestation did not pass",
)
_require(
attestation["provenance_scope"] == V3_ATTESTATION_PROVENANCE_SCOPE,
"independent rollout replay provenance scope is overstated",
)
registration = receipt["independent_replay_verification"]
verification = attestation["verification"]
_require(
isinstance(verification, dict)
and set(verification)
== {
"method",
"started_at",
"completed_at",
"argv",
"runtime",
"timing_scope",
}
and verification["method"] == V3_REPLAY_VERIFIER_METHOD
and verification["argv"] == list(V3_REPLAY_VERIFICATION_ARGV)
and verification["argv"] == registration["execution_argv"]
and verification["timing_scope"]
== (
"producer elapsed_seconds, tok_per_sec, and ar_tok_per_sec "
"are excluded from deterministic reproduction"
),
"independent rollout replay execution differs from registration",
)
runtime = verification["runtime"]
_require(
isinstance(runtime, dict)
and set(runtime) == {"python", "mlx", "numpy", "tokenizers", "platform"}
and {
key: runtime[key]
for key in ("python", "mlx", "numpy", "tokenizers")
}
== receipt["runtime_requirements"]
and isinstance(runtime["platform"], str)
and bool(runtime["platform"]),
"independent rollout replay runtime differs from registration",
)
registered_at = _parse_attestation_time(
receipt["registered_at"], "rollout receipt registration"
)
registration_committed = _parse_attestation_time(
report["receipt"]["registration_git"]["committed_at"],
"rollout receipt registration commit",
)
report_started = _parse_attestation_time(
report["execution"]["started_at"], "rollout execution start"
)
report_completed = _parse_attestation_time(
report["execution"]["completed_at"], "rollout execution completion"
)
verifier_started = _parse_attestation_time(
verification["started_at"], "independent replay start"
)
verifier_completed = _parse_attestation_time(
verification["completed_at"], "independent replay completion"
)
_require(
registered_at
<= registration_committed
<= report_started
<= report_completed
<= verifier_started
<= verifier_completed,
"independent replay timestamps violate registration order",
)
expected_time_order = {
"registered_at": receipt["registered_at"],
"registration_committed_at": report["receipt"]["registration_git"][
"committed_at"
],
"report_started_at": report["execution"]["started_at"],
"report_completed_at": report["execution"]["completed_at"],
"verification_started_at": verification["started_at"],
"verification_completed_at": verification["completed_at"],
}
_require(
attestation["time_order"] == expected_time_order,
"independent replay time-order evidence differs",
)
_require(
attestation["report"]
== {"path": rollout_path, "sha256": rollout_sha256},
"independent replay is bound to a different rollout report",
)
_require(
attestation["receipt"]
== {
"path": receipt_path,
"sha256": receipt_sha256,
"registered_at": receipt["registered_at"],
"registration_git": report["receipt"]["registration_git"],
},
"independent replay is bound to a different rollout receipt",
)
registration_git = report["receipt"]["registration_git"]
_require(
isinstance(registration_git, dict)
and set(registration_git)
== {"commit", "committed_at", "path", "blob_sha256", "origin_ref"}
and registration_git["blob_sha256"] == receipt_sha256
and registration_git["path"] == "config/eval_rollout_receipt_v3.json"
and registration_git["origin_ref"] == "origin/main",
"independent replay registration-commit binding differs",
)
attested_checkpoint = attestation["checkpoint"]
_require(
isinstance(attested_checkpoint, dict)
and set(attested_checkpoint)
== {"path", "step", "meta_sha256", "master_sha256"}
and attested_checkpoint["path"] == receipt["checkpoint"]["path"]
and attested_checkpoint["meta_sha256"]
== receipt["checkpoint"]["meta_sha256"]
and attested_checkpoint["master_sha256"]
== receipt["checkpoint"]["master_sha256"]
and all(
attested_checkpoint[key] == checkpoint[key]
for key in ("step", "meta_sha256", "master_sha256")
),
"independent replay checkpoint differs from the final weights",
)
verifier = attestation["verifier"]
source = registration["source"]
_require(
isinstance(verifier, dict)
and set(verifier)
== {
"method",
"execution_argv",
"registered_source",
"live_source",
}
and verifier["method"] == registration["method"]
and verifier["execution_argv"] == registration["execution_argv"]
and verifier["registered_source"] == source
and verifier["live_source"] == source,
"independent replay verifier source differs from registration",
)
live_source_path = os.path.join(source_root, source["path"])
_require(
os.path.getsize(live_source_path) == source["bytes"]
and file_sha256(live_source_path) == source["sha256"],
"independent replay verifier source changed after attestation",
)
expected_frozen_inputs = {
"acceptance_receipt": dict(receipt["acceptance_receipt"]),
"holdout": dict(receipt["holdout"]),
"tokenizer": dict(receipt["tokenizer"]),
"pair_count": receipt["pair_settings"]["examples"],
"pair_manifest_sha256": receipt["pair_settings"][
"pair_manifest_sha256"
],
"pair_payload_manifest_sha256": receipt["pair_settings"][
"pair_payload_manifest_sha256"
],
}
_require(
attestation["frozen_inputs"] == expected_frozen_inputs,
"independent replay frozen-input evidence differs from registration",
)
rows = attestation["rows"]
expected_rows = _expected_attestation_rows(report)
_require(
isinstance(rows, list) and len(rows) == len(expected_rows),
"independent replay row manifest has the wrong size",
)
aggregate = {
"policy_documents": 0,
"output_tokens": 0,
"exact_argmax_tokens": 0,
"certified_near_tie_tokens": 0,
"failed_tokens": 0,
"reproduced_policy_documents": 0,
"failed_reproductions": 0,
}
row_keys = {
"verification_index",
"split",
"policy",
"pair_index",
"document_id",
"seed",
"prompt_sha256",
"output_sha256",
"reproduction",
"branch_quality",
}
reproduction_keys = {
"output_sha256",
"trace_sha256",
"deterministic_stats_sha256",
"output_tokens_match",
"generation_trace_matches",
"deterministic_stats_match",
}
for index, (attested, expected) in enumerate(zip(rows, expected_rows)):
split_name, policy_name, producer_row = expected
prompt = report["holdout"]["pair_payload_manifest"][
producer_row["pair_index"]
]["prompt_token_ids"]
output = producer_row["output_token_ids"]
_require(
isinstance(attested, dict)
and set(attested) == row_keys
and attested["verification_index"] == index
and attested["split"] == split_name
and attested["policy"] == policy_name
and attested["pair_index"] == producer_row["pair_index"]
and attested["document_id"] == producer_row["document_id"]
and attested["seed"] == producer_row["seed"]
and attested["prompt_sha256"] == producer_row["prompt_sha256"]
and attested["output_sha256"] == producer_row["output_sha256"],
f"independent replay row {index} differs from the producer row",
)
reproduction = attested["reproduction"]
_require(
isinstance(reproduction, dict)
and set(reproduction) == reproduction_keys
and reproduction["output_sha256"] == producer_row["output_sha256"]
and reproduction["trace_sha256"] == producer_row["trace_sha256"]
and _is_lower_sha256(
reproduction["deterministic_stats_sha256"]
)
and reproduction["output_tokens_match"] is True
and reproduction["generation_trace_matches"] is True
and reproduction["deterministic_stats_match"] is True,
f"independent replay row {index} did not reproduce",
)
quality_counts = _validate_attested_branch_quality(
attested["branch_quality"], prompt, output, index
)
aggregate["policy_documents"] += 1
aggregate["output_tokens"] += len(output)
aggregate["exact_argmax_tokens"] += quality_counts[
"exact_argmax_tokens"
]
aggregate["certified_near_tie_tokens"] += quality_counts[
"certified_near_tie_tokens"
]
aggregate["failed_tokens"] += quality_counts["failed_tokens"]
aggregate["reproduced_policy_documents"] += 1
_require(
attestation["row_manifest_sha256"]
== canonical_json_sha256(rows, _V3_REPLAY_ATTESTATION_ROW_DOMAIN),
"independent replay row-manifest hash does not recompute",
)
_require(
attestation["aggregate"] == aggregate
and aggregate["policy_documents"]
== report["quality_gate"]["scored_policy_documents"]
and aggregate["output_tokens"]
== report["quality_gate"]["scored_tokens"]
and aggregate["reproduced_policy_documents"] == len(expected_rows)
and aggregate["failed_reproductions"] == 0
and aggregate["failed_tokens"] == 0
and aggregate["exact_argmax_tokens"]
+ aggregate["certified_near_tie_tokens"]
== aggregate["output_tokens"],
"independent replay aggregate counts do not close",
)
return {
"path": os.path.abspath(attestation_path),
"sha256": file_sha256(attestation_path),
"branch_quality_independently_verified": True,
"rollout_execution_reproduced": True,
"policy_documents": aggregate["policy_documents"],
"output_tokens": aggregate["output_tokens"],
"exact_argmax_tokens": aggregate["exact_argmax_tokens"],
"certified_near_tie_tokens": aggregate[
"certified_near_tie_tokens"
],
"provenance_scope": V3_ATTESTATION_PROVENANCE_SCOPE,
}
def _snapshot_evidence(path, digest):
return {"path": os.path.abspath(path), "sha256": digest}
def validate_no_tampering(
artifacts, ckpt_dir, checkpoint, ablation_ckpt_dir, ablation_checkpoint
):
"""
The last checks before the audit is written: nothing this audit read
changed while it was reading everything else.
Extracted verbatim from `main()`'s own body, no behavior change, so it can
be tested directly. `test_release_audit.py` never called `main()` at all,
so these three checks -- including the final tamper checks that are the
last thing standing between "audit ran" and `publication_ready: true` --
had zero test coverage, not merely an under-varied fixture like most of
this file's other unfalsified guards.
"""
for item in artifacts.values():
_require(
file_sha256(item["path"]) == item["sha256"],
f"release artifact changed during audit: {item['path']}",
)
_, final_checkpoint = checkpoint_identity(ckpt_dir)
_require(
final_checkpoint == checkpoint,
"final checkpoint changed during release audit",
)
_, final_ablation_checkpoint = checkpoint_identity(ablation_ckpt_dir)
_require(
final_ablation_checkpoint == ablation_checkpoint,
"run 2 checkpoint changed during release audit",
)
def validate_export_model_card(
manifest,
export_dir,
template_path,
validation,
validation_sha256,
acceptance_comparison,
comparison_sha256,
format_ablation,
format_ablation_sha256,
rollout,
rollout_sha256,
):
_require(
manifest.get("release_complete") is True,
"export package is labelled as a development snapshot",
)
expected_evaluation_sources = {
"validation": {"sha256": validation_sha256},
"acceptance_comparison": {"sha256": comparison_sha256},
"format_ablation": {"sha256": format_ablation_sha256},
"rollout": {"sha256": rollout_sha256},
}
_require(
manifest.get("evaluation_sources") == expected_evaluation_sources,
"export evaluation source hashes differ from audited reports",
)
template_sha256 = file_sha256(template_path)
_require(
manifest.get("model_card_template_sha256") == template_sha256,
"export model card template differs from audited template",
)
evaluation_markdown = render_evaluation_section(
validation,
acceptance_comparison,
format_ablation,
rollout,
)
expected_card = render_model_card(
template_path,
manifest["repo_id"],
evaluation_markdown,
)
with open(
os.path.join(export_dir, "README.md"), encoding="utf-8"
) as f:
exported_card = f.read()
_require(
exported_card == expected_card,
"exported model card does not render from audited reports",
)
return template_sha256
def validate_acceptance_receipt_freshness(
acceptance_receipt, holdout_path, tokenizer_path
):
"""The acceptance receipt must still describe the holdout/tokenizer on
disk right now, not whatever they were when the receipt was registered."""
_require(
acceptance_receipt.get("clean_holdout", {}).get("sha256")
== file_sha256(holdout_path),
"acceptance receipt does not match current clean holdout",
)
_require(
acceptance_receipt.get("pair_readiness", {}).get("tokenizer_sha256")
== file_sha256(tokenizer_path),
"acceptance receipt does not match current tokenizer",
)
def validate_training_data_receipt_registration(
format_receipt, training_data_receipt_path, training_data_receipt_sha256
):
"""The training-data receipt E2 registered must be the exact same file
this audit is reading, not a different receipt with the same shape."""
registered_training_data = format_receipt.get(
"training_data_receipt", {}
)
_require(
os.path.abspath(registered_training_data.get("path", ""))
== os.path.abspath(training_data_receipt_path)
and registered_training_data.get("sha256")
== training_data_receipt_sha256,
"E2 and release audit use different training-data receipts",
)
def validate_ablation_arm_checkpoint(ablation_report_checkpoint, ablation_checkpoint):
for key in ("step", "meta_sha256", "master_sha256"):
_require(
ablation_report_checkpoint.get(key)
== ablation_checkpoint.get(key),
f"format-ablation arm checkpoint {key} differs from run 2",
)
def validate_export_sourced_from_checkpoint(manifest, checkpoint):
expected_source = {
key: checkpoint[key]
for key in (
"step",
"meta_sha256",
"master_sha256",
"optimizer_sha256",
)
}
_require(
manifest.get("source_checkpoint") == expected_source,
"export package is not sourced from the audited final checkpoint",
)
def validate_external_verification_paths(external, export_dir, ckpt_dir):
_require(
external["package"]["export_dir"] == os.path.abspath(export_dir),
"external verification points to a different export directory",
)
_require(
external["checkpoint"]["path"] == os.path.abspath(ckpt_dir),
"external verification points to a different checkpoint directory",
)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--ckpt", required=True)
parser.add_argument("--validation", required=True)
parser.add_argument("--trained-acceptance", required=True)
parser.add_argument("--control-acceptance", required=True)
parser.add_argument("--acceptance-comparison", required=True)
parser.add_argument("--ablation-ckpt", required=True)
parser.add_argument("--ablation-acceptance", required=True)
parser.add_argument("--format-ablation", required=True)
parser.add_argument("--rollout", required=True)
parser.add_argument(
"--rollout-verification",
default="out/run1/rollout.replay-verification.v3.json",
)
parser.add_argument("--export", required=True)
parser.add_argument("--external-verification", required=True)
parser.add_argument(
"--validation-receipt",
default="config/final_validation_receipt.json",
)
parser.add_argument(
"--acceptance-receipt",
default="config/eval_holdout_receipt.json",
)
parser.add_argument(
"--rollout-receipt",
default="config/eval_rollout_receipt_v3.json",
)
parser.add_argument(
"--format-ablation-receipt",
default="config/eval_format_ablation_receipt.json",
)
parser.add_argument(
"--training-data-receipt",
default="config/training_data_receipt.json",
)
parser.add_argument("--config", default="config/run1.json")
parser.add_argument("--data-index", default="data/shards/index.json")
parser.add_argument(
"--validation-shard", default="data/shards/val_0000.bin"
)
parser.add_argument("--holdout", default="data/eval/holdout.clean.jsonl")
parser.add_argument("--tokenizer", default="tokenizer/code32k.json")
parser.add_argument(
"--model-card-template", default="MODEL_CARD.md"
)
parser.add_argument("--out", required=True)
cli = parser.parse_args()
_, checkpoint = checkpoint_identity(cli.ckpt)
validation_receipt, validation_receipt_sha256 = load_json_snapshot(
cli.validation_receipt
)
validation_evidence = validate_validation_receipt(
validation_receipt,
cli.validation_receipt,
cli.config,
cli.data_index,
cli.validation_shard,
)
validate_validation_checkpoint(
load_json_snapshot(os.path.join(cli.ckpt, "meta.json"))[0],
validation_receipt,
)
validation, validation_sha256 = load_json_snapshot(cli.validation)
validation_result = validate_validation_report(
validation,
validation_receipt,
validation_evidence,
checkpoint,
cli.config,
cli.data_index,
cli.validation_shard,
)
acceptance_receipt, acceptance_receipt_sha256 = load_json_snapshot(
cli.acceptance_receipt
)
validate_acceptance_receipt_freshness(
acceptance_receipt, cli.holdout, cli.tokenizer
)
trained, trained_sha256 = load_json_snapshot(cli.trained_acceptance)
control, control_sha256 = load_json_snapshot(cli.control_acceptance)
comparison, comparison_sha256 = load_json_snapshot(
cli.acceptance_comparison
)
acceptance_result = validate_acceptance_bundle(
trained,
trained_sha256,
control,
control_sha256,
comparison,
acceptance_receipt,
acceptance_receipt_sha256,
checkpoint,
)
format_receipt, format_receipt_sha256 = load_json_snapshot(
cli.format_ablation_receipt
)
training_data_receipt, training_data_receipt_sha256 = load_json_snapshot(
cli.training_data_receipt
)
training_data_evidence = validate_training_data_receipt(
training_data_receipt,
cli.training_data_receipt,
)
validate_training_data_receipt_registration(
format_receipt, cli.training_data_receipt, training_data_receipt_sha256
)
ablation_meta, ablation_checkpoint = checkpoint_identity(
cli.ablation_ckpt
)
e2_evidence, _ = validate_e2_evaluation_inputs(
cli.format_ablation_receipt,
cli.holdout,
cli.tokenizer,
format_receipt["evaluation_settings"],
ablation_meta,
)
ablation, ablation_sha256 = load_json_snapshot(
cli.ablation_acceptance
)
validate_e2_report_sampler(ablation, e2_evidence)
validate_ablation_arm_checkpoint(
ablation.get("checkpoint", {}), ablation_checkpoint
)
format_comparison, format_comparison_sha256 = load_json_snapshot(
cli.format_ablation
)
format_result = validate_format_comparison(
format_comparison,
trained,
trained_sha256,
ablation,
ablation_sha256,
acceptance_receipt,
acceptance_receipt_sha256,
format_receipt,
format_receipt_sha256,
)
rollout_receipt, rollout_receipt_sha256 = load_json_snapshot(
cli.rollout_receipt
)
rollout_evidence = validate_rollout_receipt(
rollout_receipt,
cli.rollout_receipt,
cli.acceptance_receipt,
cli.holdout,
cli.tokenizer,
instrument_version=V3_INSTRUMENT_VERSION,
source_root=os.path.dirname(
os.path.dirname(os.path.abspath(__file__))
),
)
validate_rollout_checkpoint(
load_json_snapshot(os.path.join(cli.ckpt, "meta.json"))[0],
rollout_receipt,
)
rollout, rollout_sha256 = load_json_snapshot(cli.rollout)
rollout_result = validate_rollout_report(
rollout,
rollout_receipt,
rollout_evidence,
checkpoint,
cli.tokenizer,
cli.holdout,
)
_require(
rollout_result.get("branch_local_replay_valid") is True
and rollout_result.get("cross_policy_trajectory_identical") is True
and rollout_result.get("historical_instrument_only") is False,
"release publication requires a valid E3 v3 rollout report",
)
rollout_verification, rollout_verification_sha256 = load_json_snapshot(
cli.rollout_verification
)
rollout_verification_result = validate_rollout_replay_attestation(
rollout_verification,
cli.rollout_verification,
cli.rollout,
rollout_sha256,
cli.rollout_receipt,
rollout_receipt_sha256,
rollout_receipt,
rollout,
checkpoint,
os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
)
_require(
rollout_verification_result[
"branch_quality_independently_verified"
]
is True
and rollout_verification_result["rollout_execution_reproduced"] is True,
"release publication requires independent E3 v3 replay verification",
)
manifest = verify_export_manifest(cli.export)
manifest_path = os.path.join(cli.export, "export_manifest.json")
manifest_sha256 = file_sha256(manifest_path)
validate_export_sourced_from_checkpoint(manifest, checkpoint)
template_sha256 = validate_export_model_card(
manifest,
cli.export,
cli.model_card_template,
validation,
validation_sha256,
comparison,
comparison_sha256,
format_comparison,
format_comparison_sha256,
rollout,
rollout_sha256,
)
data_document = training_data_receipt["publication_documents"][
"data_document"
]
with open(data_document["path"], encoding="utf-8") as f:
data_document_text = f.read()
with open(
os.path.join(cli.export, "README.md"), encoding="utf-8"
) as f:
exported_model_card_text = f.read()
validate_publication_text(
data_document_text,
exported_model_card_text,
)
external, external_sha256 = load_json_snapshot(
cli.external_verification
)
validate_external_verification_receipt(
external,
manifest,
manifest_sha256,
)
validate_external_verification_paths(external, cli.export, cli.ckpt)
artifacts = {
"validation": _snapshot_evidence(cli.validation, validation_sha256),
"trained_acceptance": _snapshot_evidence(
cli.trained_acceptance, trained_sha256
),
"control_acceptance": _snapshot_evidence(
cli.control_acceptance, control_sha256
),
"acceptance_comparison": _snapshot_evidence(
cli.acceptance_comparison, comparison_sha256
),
"ablation_acceptance": _snapshot_evidence(
cli.ablation_acceptance, ablation_sha256
),
"format_ablation": _snapshot_evidence(
cli.format_ablation, format_comparison_sha256
),
"rollout": _snapshot_evidence(cli.rollout, rollout_sha256),
"rollout_verification": _snapshot_evidence(
cli.rollout_verification, rollout_verification_sha256
),
"external_verification": _snapshot_evidence(
cli.external_verification, external_sha256
),
"validation_receipt": _snapshot_evidence(
cli.validation_receipt, validation_receipt_sha256
),
"acceptance_receipt": _snapshot_evidence(
cli.acceptance_receipt, acceptance_receipt_sha256
),
"rollout_receipt": _snapshot_evidence(
cli.rollout_receipt, rollout_receipt_sha256
),
"format_ablation_receipt": _snapshot_evidence(
cli.format_ablation_receipt, format_receipt_sha256
),
"training_data_receipt": _snapshot_evidence(
cli.training_data_receipt, training_data_receipt_sha256
),
"ablation_data_index": _snapshot_evidence(
e2_evidence["ablation_data_index_path"],
e2_evidence["ablation_data_index_sha256"],
),
"export_manifest": _snapshot_evidence(
manifest_path, manifest_sha256
),
"model_card_template": _snapshot_evidence(
cli.model_card_template, template_sha256
),
}
for key, artifact in training_data_receipt[
"publication_documents"
].items():
artifacts[f"training_data_{key}"] = _snapshot_evidence(
artifact["path"],
training_data_evidence["publication_documents"][key],
)
for index, artifact in enumerate(
e2_evidence["ablation_data_artifacts"]
):
artifacts[
f"ablation_{artifact['kind']}_{index:03d}"
] = _snapshot_evidence(
artifact["path"],
artifact["sha256"],
)
for key in (
"baseline_config",
"ablation_config",
"training_data_receipt",
"training_data_contract",
"run1_shard_integrity_receipt",
"derivation_script",
"audit_corpus_script",
"preparation_script",
"corpus_script",
"training_script",
"checkpoint_script",
"model_script",
"data_script",
"holdout",
"tokenizer",
):
registered_artifact = format_receipt[key]
artifacts[f"format_{key}"] = _snapshot_evidence(
registered_artifact["path"],
registered_artifact["sha256"],
)
validate_no_tampering(
artifacts, cli.ckpt, checkpoint, cli.ablation_ckpt, ablation_checkpoint
)
verify_export_manifest(cli.export)
report = {
"schema_version": SCHEMA_VERSION,
"created_at": datetime.now(timezone.utc).isoformat(),
"publication_ready": True,
"research_outcomes_are_not_release_gates": True,
"checkpoint": checkpoint,
"ablation_checkpoint": ablation_checkpoint,
"artifacts": artifacts,
"validation": validation_result,
"acceptance": acceptance_result,
"format_ablation": format_result,
"rollout": rollout_result,
"rollout_verification": rollout_verification_result,
"export": {
"path": os.path.abspath(cli.export),
"repo_id": manifest["repo_id"],
"manifest_sha256": manifest_sha256,
"payload_files": len(manifest["files"]),
},
"external_verification": {
"relative_max_abs_delta": external["logits"][
"relative_max_abs_delta"
],
"relative_delta_threshold": external["logits"][
"relative_delta_threshold"
],
"argmax_agreement": external["logits"]["argmax_agreement"],
"toolchain": external["toolchain"],
},
"audit_source_sha256": file_sha256(os.path.abspath(__file__)),
}
written = write_json_atomic(cli.out, report)
print("release audit: PASS")
print(f"wrote {written}")
if __name__ == "__main__":
main()
|