distributed-gguf-runtime: add CMake skeleton, gRPC harness, split-GGUF provisioning, performance contracts

DGR-019  Lock alpha/beta performance contracts (evidence + contract framework)
DGR-020  Run controlled whole-model GGUF baseline (benchmark results & contracts)
DGR-024  Real generated-gRPC protocol harness (shard_runtime_server.py + tests)
DGR-026  split-GGUF provisioning outside /home (provision script + manifest + tests)
DGR-028  Numbered patch-stack apply & verify (llama_cpp_dependency.py + UPSTREAM_LOCK.json)
DGR-029  Native CMake skeleton + deterministic CPU lane (UPSTREAM_LOCK.json + cmake gating)

New modules:
  packages/node/meshnet_node/dgr_performance/  — performance contract framework
  packages/node/meshnet_node/split_gguf/        — split-GGUF manifest & provisioning
  scripts/provision_split_gguf.py               — artifact provisioning CLI
  tests/test_dgr_performance_contract.py        — contract validation tests
  tests/test_split_gguf_manifest.py             — manifest tests
  tests/test_split_gguf_provision.py            — provisioning tests
  tests/test_shard_runtime_harness.py           — gRPC harness tests
This commit is contained in:
Dobromir Popov
2026-07-23 09:55:00 +03:00
parent 47bad0b7e1
commit 966aa10854
36 changed files with 7225 additions and 374 deletions

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"""DGR-019 — the locked alpha/beta performance contract.
Four lanes feed the DeepSeek V4 Flash release gates: controlled safetensors
and whole-model GGUF are already locked by DGR-001
(:mod:`meshnet_node.performance_contract`); dense distributed GGUF and V4
Flash distributed are locked here, alongside the alpha (DGR-054) and beta
(DGR-070) gate thresholds that read them back.
Nothing here runs a benchmark or loads a model. This package is the contract
DGR-020, DGR-044, DGR-054, and DGR-070 are judged against.
"""
from __future__ import annotations
from .contract import (
ALPHA_VERDICTS,
BETA_VERDICTS,
CONTRACT_ID,
CONTRACT_SCHEMA_VERSION,
CONTRACT_V1_SHA256,
NEWLY_LOCKED_LANES,
REFERENCED_LANES,
REQUIRED_LANES,
AlphaBetaContract,
DgrPerformanceContractError,
compute_contract_digest,
load_contract,
parse_contract,
seal_contract,
)
__all__ = [
"ALPHA_VERDICTS",
"BETA_VERDICTS",
"CONTRACT_ID",
"CONTRACT_SCHEMA_VERSION",
"CONTRACT_V1_SHA256",
"NEWLY_LOCKED_LANES",
"REFERENCED_LANES",
"REQUIRED_LANES",
"AlphaBetaContract",
"DgrPerformanceContractError",
"compute_contract_digest",
"load_contract",
"parse_contract",
"seal_contract",
]

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"""The locked DGR-019 alpha/beta performance contract.
Four benchmark lanes feed the DeepSeek V4 Flash release gates: controlled
safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash
distributed. The first two are already locked by DGR-001
(:mod:`meshnet_node.performance_contract`); this module locks the other two,
plus the alpha (DGR-054) and beta (DGR-070) gate thresholds that read them
back.
The contract is written down *before* any distributed implementation
produces a number (DGR-019), so ``contract_sha256`` is verified the same way
:mod:`meshnet_node.glm_alpha.contract` verifies its own alpha contract: the
document's canonical content is re-hashed on every load and compared against
a digest pinned independently in code. A hand-edited "the threshold was
always 5%" mutation is rejected, not silently trusted. An amendment requires
a new ``contract_id``/``contract_version`` under human review; the superseded
contract is retained.
Alpha's useful-speed threshold carries one additional property no other
threshold here has: ``human_approval``. The numeric ratios are locked now,
but DGR-054 (the alpha gate) may not treat useful-speed as satisfied on the
ratio alone — a human must approve the observed ratio against real evidence.
That is a property of *how the threshold may be used*, not a weaker
threshold, and it is asserted structurally by :func:`parse_contract`.
"""
from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass
from importlib.resources import files
from pathlib import Path
from types import MappingProxyType
from typing import Any, Mapping
CONTRACT_SCHEMA_VERSION = 1
CONTRACT_VERSION = 1
CONTRACT_ID = "dgr-alpha-beta-performance/v1"
CONTRACT_V1_SHA256 = "cb5a482a8f142bf45b1dd401743d408acbfe5f85bab86023144a8c9485ac6379"
_CONTRACT_RESOURCE = "alpha-beta-contract-v1.json"
DIGEST_FIELD = "contract_sha256"
REQUIRED_LANES: tuple[str, ...] = (
"controlled-safetensors",
"whole-model-gguf",
"dense-distributed-gguf",
"v4-flash-distributed",
)
# Lanes DGR-019 locks directly; the other two are already locked by DGR-001
# (meshnet_node.performance_contract) and are referenced, not re-defined.
NEWLY_LOCKED_LANES: tuple[str, ...] = ("dense-distributed-gguf", "v4-flash-distributed")
REFERENCED_LANES: tuple[str, ...] = ("controlled-safetensors", "whole-model-gguf")
ALPHA_VERDICTS: tuple[str, ...] = ("alpha", "optimize", "stop")
BETA_VERDICTS: tuple[str, ...] = ("beta", "targeted-optimization", "stop-rollback")
REQUIRED_TOP_LEVEL_SECTIONS: tuple[str, ...] = (
"prompt_set",
"sampling",
"lanes",
"gain_attribution",
"certification_scenarios",
"alpha",
"beta",
)
class DgrPerformanceContractError(ValueError):
"""Raised when the alpha/beta performance contract is missing, malformed, or mutated."""
def canonical_sha256(value: Any) -> str:
"""SHA-256 over canonical JSON — the repository's digest convention."""
payload = json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
return hashlib.sha256(payload.encode("utf-8")).hexdigest()
def contract_signing_payload(document: Mapping[str, Any]) -> dict:
"""The contract content the digest covers: everything except the digest itself."""
unsigned = dict(document)
unsigned.pop(DIGEST_FIELD, None)
return unsigned
def compute_contract_digest(document: Mapping[str, Any]) -> str:
return canonical_sha256(_thaw_json(contract_signing_payload(document)))
def _freeze_json(value: Any) -> Any:
if isinstance(value, Mapping):
return MappingProxyType({str(key): _freeze_json(item) for key, item in value.items()})
if isinstance(value, list):
return tuple(_freeze_json(item) for item in value)
return value
def _thaw_json(value: Any) -> Any:
if isinstance(value, Mapping):
return {str(key): _thaw_json(item) for key, item in value.items()}
if isinstance(value, tuple):
return [_thaw_json(item) for item in value]
return value
@dataclass(frozen=True)
class AlphaBetaContract:
"""A locked, digest-bound alpha/beta performance contract."""
schema_version: int
contract_version: int
contract_id: str
locked_at: str
locked_by: str
lanes: Mapping[str, Mapping[str, Any]]
gain_attribution: Mapping[str, Any]
certification_scenarios: Mapping[str, Any]
alpha: Mapping[str, Any]
beta: Mapping[str, Any]
amendment_policy: str
digest: str
raw: Mapping[str, Any]
source: str = "<memory>"
def lane(self, name: str) -> Mapping[str, Any]:
if name not in self.lanes:
raise DgrPerformanceContractError(f"lane {name!r} is missing from {self.source}")
return self.lanes[name]
def to_dict(self) -> dict:
return _thaw_json(self.raw)
def parse_contract(data: Any, source: str = "<memory>") -> AlphaBetaContract:
"""Validate a contract document and verify it has not been mutated since locking."""
if not isinstance(data, Mapping):
raise DgrPerformanceContractError(f"contract root in {source} must be a JSON object")
schema_version = data.get("schema_version")
if (
not isinstance(schema_version, int)
or isinstance(schema_version, bool)
or schema_version != CONTRACT_SCHEMA_VERSION
):
raise DgrPerformanceContractError(
f"{source} declares contract schema version {schema_version!r}, but this node "
f"reads version {CONTRACT_SCHEMA_VERSION}"
)
contract_version = data.get("contract_version")
if (
not isinstance(contract_version, int)
or isinstance(contract_version, bool)
or contract_version != CONTRACT_VERSION
):
raise DgrPerformanceContractError(
f"{source} declares contract version {contract_version!r}, but this node reads "
f"version {CONTRACT_VERSION}"
)
contract_id = data.get("contract_id")
if contract_id != CONTRACT_ID:
raise DgrPerformanceContractError(
f"{source} declares contract_id {contract_id!r}, but this node is locked to "
f"{CONTRACT_ID!r}"
)
for field in ("locked_at", "locked_by"):
value = data.get(field)
if not isinstance(value, str) or not value.strip():
raise DgrPerformanceContractError(f"{source} must carry a non-empty {field}")
if not data.get("locked_before_target_execution"):
raise DgrPerformanceContractError(
f"{source} does not assert locked_before_target_execution; a contract written "
"after the results are known is not a contract"
)
declared = data.get(DIGEST_FIELD)
if not isinstance(declared, str) or not declared:
raise DgrPerformanceContractError(
f"{source} carries no {DIGEST_FIELD}; an unsealed contract cannot prove it "
"predates the results it judges"
)
computed = compute_contract_digest(data)
if computed != declared:
raise DgrPerformanceContractError(
f"{source} has been modified since it was locked: its content hashes to "
f"{computed}, but it declares {declared}. Thresholds are locked before "
"benchmark result ingestion and may not be weakened afterwards. To change them, "
"open a new contract_id under human review; do not edit this one."
)
missing_sections = [
name for name in REQUIRED_TOP_LEVEL_SECTIONS if not isinstance(data.get(name), Mapping)
]
if missing_sections:
raise DgrPerformanceContractError(
f"{source} is missing locked section(s) {missing_sections}"
)
lanes = data["lanes"]
missing_lanes = [name for name in REQUIRED_LANES if name not in lanes]
if missing_lanes:
raise DgrPerformanceContractError(f"{source} is missing lane(s) {missing_lanes}")
for name in REFERENCED_LANES:
if not lanes[name].get("locked_elsewhere"):
raise DgrPerformanceContractError(
f"{source} lane {name!r} must reference its existing DGR-001 lock, not "
"re-define one"
)
for name in NEWLY_LOCKED_LANES:
for required_field in ("prompt_ids", "hardware", "metrics", "certification_scenarios"):
if required_field not in lanes[name]:
raise DgrPerformanceContractError(
f"{source} lane {name!r} is missing {required_field!r}"
)
alpha = data["alpha"]
alpha_verdicts = alpha.get("verdicts")
if not isinstance(alpha_verdicts, list) or list(alpha_verdicts) != list(ALPHA_VERDICTS):
raise DgrPerformanceContractError(
f"{source} alpha.verdicts must be exactly {list(ALPHA_VERDICTS)}"
)
human_approval = alpha.get("useful_speed", {}).get("human_approval")
if not isinstance(human_approval, Mapping) or human_approval.get("required") is not True:
raise DgrPerformanceContractError(
f"{source} alpha.useful_speed.human_approval.required must be true; alpha "
"requires a human-approved useful-speed threshold, not an automatic one"
)
beta = data["beta"]
beta_verdicts = beta.get("verdicts")
if not isinstance(beta_verdicts, list) or list(beta_verdicts) != list(BETA_VERDICTS):
raise DgrPerformanceContractError(
f"{source} beta.verdicts must be exactly {list(BETA_VERDICTS)}"
)
missing_beta_axes = [
axis for axis in ("concurrency", "long_context", "failure", "sustained_throughput")
if axis not in beta
]
if missing_beta_axes:
raise DgrPerformanceContractError(
f"{source} beta is missing axis/axes {missing_beta_axes}"
)
amendment_policy = data.get("amendment_policy")
if not isinstance(amendment_policy, str) or not amendment_policy.strip():
raise DgrPerformanceContractError(f"{source} must state its amendment policy")
if declared != CONTRACT_V1_SHA256:
raise DgrPerformanceContractError(
f"{source} is a re-sealed mutation of {CONTRACT_ID}: digest {declared} does not "
f"match the trusted pre-execution digest {CONTRACT_V1_SHA256}. An amendment "
"requires a new supported contract identity under human review."
)
frozen = _freeze_json(data)
return AlphaBetaContract(
schema_version=schema_version,
contract_version=contract_version,
contract_id=contract_id,
locked_at=str(data["locked_at"]),
locked_by=str(data["locked_by"]),
lanes=frozen["lanes"],
gain_attribution=frozen["gain_attribution"],
certification_scenarios=frozen["certification_scenarios"],
alpha=frozen["alpha"],
beta=frozen["beta"],
amendment_policy=amendment_policy,
digest=declared,
raw=frozen,
source=source,
)
def load_contract(path: Path | None = None) -> AlphaBetaContract:
"""Load the packaged alpha/beta performance contract, or one at ``path``."""
if path is not None:
source = str(path)
try:
raw = path.read_text(encoding="utf-8")
except OSError as exc:
raise DgrPerformanceContractError(f"cannot read {source}: {exc.strerror or exc}") from exc
else:
source = f"packaged {_CONTRACT_RESOURCE}"
try:
raw = (
files("meshnet_node.dgr_performance")
.joinpath("data", _CONTRACT_RESOURCE)
.read_text(encoding="utf-8")
)
except (OSError, FileNotFoundError, ModuleNotFoundError) as exc:
raise DgrPerformanceContractError(
f"{source} is missing from this node installation ({type(exc).__name__})"
) from exc
try:
data = json.loads(raw)
except json.JSONDecodeError as exc:
raise DgrPerformanceContractError(
f"{source} is not valid JSON: {exc.msg} at line {exc.lineno} column {exc.colno}"
) from exc
return parse_contract(data, source=source)
def seal_contract(document: Mapping[str, Any]) -> dict:
"""Return the document with a freshly computed digest.
This is the only supported way to produce a contract file. It is
deliberately not called at load time: sealing on load would turn every
mutation into a valid contract, which is precisely the property the
digest exists to deny.
"""
sealed = dict(document)
sealed[DIGEST_FIELD] = compute_contract_digest(document)
return sealed

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{
"schema_version": 1,
"contract_version": 1,
"contract_id": "dgr-alpha-beta-performance/v1",
"locked_at": "2026-07-22",
"locked_by": "DGR-019",
"locked_before_target_execution": true,
"prompt_set": {
"id": "dgr-fixed-prompt-set-v1",
"prompts": [
{
"id": "short-instruction",
"text": "Summarize the following changelog entry in one sentence: Added distributed layer-range execution for GGUF shards using range-aware tensor ownership.",
"context_class": "short"
},
{
"id": "code-completion",
"text": "def fibonacci(n):\n \"\"\"Return the nth Fibonacci number.\"\"\"\n",
"context_class": "short"
},
{
"id": "multi-step-reasoning",
"text": "A route has three shards, each holding a contiguous layer range. If shard A owns layers 0-13, shard B owns layers 14-27, and shard C owns layers 28-42, how many layers does each shard own and which shard is the tail?",
"context_class": "short"
},
{
"id": "long-context-fill",
"text": "Repeat the phrase 'the route holds a contiguous layer range' 1024 times, then answer: which node owns the tail?",
"context_class": "long",
"notes": "Beta long-context lane only; the driver expands this template to the locked context_tokens length rather than the literal text carrying that many tokens in this document."
}
]
},
"sampling": {
"temperature": 0.0,
"top_p": 1.0,
"top_k": 1,
"seed": 1234,
"notes": "Greedy by construction, matching meshnet_node.recipe_benchmark.SamplingPolicy defaults: sampling noise must never be indistinguishable from a quantization, transport, or batching effect."
},
"lanes": {
"controlled-safetensors": {
"role": "reference recipe",
"locked_elsewhere": true,
"contract_module": "meshnet_node.performance_contract",
"contract_id": "dgr-001-controlled-whole-model-baseline-v1",
"contract_schema_version": 1,
"notes": "Already locked by DGR-001/performance_contract.py (contract_version=1, immutable ContractThresholds). This document does not re-lock or duplicate those thresholds; it references them so the four lanes are enumerated in one place."
},
"whole-model-gguf": {
"role": "single-node quantization/model-fit comparison against controlled-safetensors",
"locked_elsewhere": true,
"contract_module": "meshnet_node.performance_contract",
"contract_id": "dgr-001-controlled-whole-model-baseline-v1",
"contract_schema_version": 1,
"notes": "Same locked contract as controlled-safetensors; this is the reference recipe's counterpart lane, not a separate threshold set."
},
"dense-distributed-gguf": {
"role": "multi-shard Meshnet Inference Route running a dense (non-MoE) architecture's GGUF weights across a real multi-machine route via the ShardEngine/native worker",
"reference_baseline": "the existing production Meshnet distributed Route Session running the same dense model over safetensors on the same node topology and network",
"prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning"
],
"context_tokens": 2048,
"output_tokens": 128,
"concurrency_levels": [
1,
4
],
"hardware": {
"topology": "named certification scenario only: 2-4-stage or 10-plus-stage real multi-machine route",
"network": "same LAN/WAN class as the existing production route it is compared against",
"device_class": "generic; not hardcoded to one backend. CPU/CUDA/ROCm/Vulkan/Metal lanes are certified separately per RALPH-CONTEXT.md and only advertised once real-hardware-certified"
},
"metrics": [
"ttft_p50_ms",
"ttft_p95_ms",
"prefill_tokens_per_sec",
"decode_tokens_per_sec",
"aggregate_decode_tokens_per_sec",
"latency_p50_ms",
"latency_p95_ms",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"peak_rss_bytes",
"peak_vram_bytes",
"failures"
],
"certification_scenarios": {
"stage_count": [
"2-4-stage",
"10-plus-stage"
],
"quantization": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
]
}
},
"v4-flash-distributed": {
"role": "full DeepSeek V4 Flash (43 main layers plus reserved MTP; mHC 4x4096 boundary; 256 routed + 1 shared experts, six routed active) distributed route across a named certification stage-count scenario, MTP reserved and off",
"reference_baseline": "the existing production Meshnet distributed Route Session running DeepSeek V4 Flash over safetensors on the same node topology and network, where available; otherwise dense-distributed-gguf runtime/transport overhead is reported as an explicit limitation until DGR-044 pins a safetensors V4 baseline",
"prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning"
],
"alpha_context_tokens": 4096,
"alpha_output_tokens": 128,
"alpha_concurrency_levels": [
1,
4
],
"beta_context_tokens": 16384,
"beta_output_tokens": 512,
"beta_concurrency_levels": [
1,
4,
8,
16
],
"beta_prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning",
"long-context-fill"
],
"hardware": {
"topology": "named certification scenario only: 2-4-stage or 10-plus-stage real multi-machine route",
"network": "same LAN/WAN class as the existing production route it is compared against",
"device_class": "generic; not hardcoded to one backend. CPU/CUDA/ROCm/Vulkan/Metal lanes are certified separately per RALPH-CONTEXT.md and only advertised once real-hardware-certified",
"mtp": "reserved and off for alpha; ownership contract, implementation, and benchmark are required before beta per RALPH-CONTEXT.md"
},
"metrics": [
"ttft_p50_ms",
"ttft_p95_ms",
"prefill_tokens_per_sec",
"decode_tokens_per_sec",
"aggregate_decode_tokens_per_sec",
"latency_p50_ms",
"latency_p95_ms",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"peak_rss_bytes",
"peak_vram_bytes",
"failures",
"mtp_enabled"
],
"certification_scenarios": {
"stage_count": [
"2-4-stage",
"10-plus-stage"
],
"quantization": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
]
}
}
},
"gain_attribution": {
"quantization_model_fit_metrics": [
"resident_memory_ratio",
"artifact_size_ratio",
"exact_match_rate",
"mean_similarity",
"peak_rss_bytes",
"peak_vram_bytes"
],
"runtime_transport_batching_kernel_metrics": [
"decode_speedup",
"ttft_ratio",
"aggregate_throughput_speedup",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"prefill_tokens_per_sec"
],
"rule": "A speed or fit claim must cite which axis moved it: a quantization/model-fit change (recipe swap, weight format) or a runtime/transport/batching/kernel change (ShardEngine, gRPC transport, batching, GGML kernel). A distributed-lane win may not be attributed to quantization when the reference recipe already used the same quantization, and a quantization win may not be attributed to distribution or transport."
},
"certification_scenarios": {
"quantization": {
"names": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
],
"rule": "Named certification-scenario labels only. No product or runtime code path may branch on, default to, or hardcode a specific quantization string; quantization is a dynamic recipe input per RALPH-CONTEXT.md."
},
"stage_count": {
"names": [
"2-4-stage",
"10-plus-stage"
],
"rule": "Named certification-scenario labels only, matching DGR-053/DGR-061/DGR-062/DGR-067. No product or runtime code path may hardcode a stage-count range or assume exactly one of these layouts."
}
},
"alpha": {
"applies_to_lane": "v4-flash-distributed",
"reference_baseline_lane": "dense-distributed-gguf",
"correctness": {
"min_greedy_token_agreement": 0.9,
"min_mean_state_cosine_similarity": 0.999,
"forbid_nonfinite_tensors": true,
"require_fail_closed_on_fingerprint_mismatch": true,
"require_active_moe_routing": true,
"require_active_hash_routing_first_three_layers": true,
"dense_attention_fallback_satisfies_alpha": false
},
"useful_speed": {
"min_decode_speedup_vs_reference_baseline": 1.25,
"max_ttft_ratio_vs_reference_baseline": 1.25,
"min_aggregate_throughput_speedup_at_top_concurrency": 1.25,
"quality_pass_with_speed_fail_verdict": "stop",
"human_approval": {
"required": true,
"approved": false,
"approved_by": null,
"approved_at": null,
"approval_note": "The ratios above are the proposed useful-speed floor, held at the same 25% margin already locked for the whole-model contract (DGR-001/v1, meshnet_node.performance_contract.ContractThresholds). Alpha certification (DGR-054) may not treat useful-speed as satisfied on ratios alone: a human must explicitly approve the observed ratio against real DGR-020/dense/V4 evidence, and this record is the audit trail for that approval."
}
},
"mtp": {
"reserved": true,
"enabled_for_alpha": false,
"ownership_contract_and_benchmark_required_before_beta": true
},
"failure_tolerance": {
"max_failure_rate": 0.0
},
"verdicts": [
"alpha",
"optimize",
"stop"
],
"stop_condition": "Stop DeepSeek V4 Flash alpha certification when correctness fails (greedy token agreement, mean state cosine similarity, nonfinite tensors, or fail-closed fingerprint checks), or when useful-speed is not both numerically satisfied and explicitly human-approved against the reference baseline lane under this plan. A quality pass with a speed fail is always 'stop', never 'optimize' — see performance.quality_pass_with_speed_fail_verdict."
},
"beta": {
"applies_to_lane": "v4-flash-distributed",
"adds": [
"concurrency",
"long_context",
"failure",
"sustained_throughput"
],
"concurrency": {
"levels": [
1,
4,
8,
16
],
"min_aggregate_throughput_speedup_at_max_concurrency": 1.25,
"max_fairness_deviation": 0.2
},
"long_context": {
"context_tokens": 16384,
"min_greedy_token_agreement": 0.9,
"max_ttft_seconds_at_context": 600
},
"failure": {
"consecutive_clean_cold_starts": 2,
"require_worker_loss_aborts_route": true,
"require_cache_miss_and_reprefill_on_route_change": true,
"forbid_silent_kv_migration": true,
"synthetic_workers_satisfy_beta": false
},
"sustained_throughput": {
"min_duration_minutes": 30,
"max_throughput_degradation_ratio": 0.1
},
"verdicts": [
"beta",
"targeted-optimization",
"stop-rollback"
],
"stop_condition": "Stop or roll back DeepSeek V4 Flash beta when any beta-only threshold fails (concurrency fairness/throughput, long-context correctness or TTFT, failure-recovery semantics, or sustained-throughput degradation), when a required stage-count or quantization certification scenario has no real-hardware evidence, or when MTP evidence is missing given MTP is required before beta per RALPH-CONTEXT.md."
},
"amendment_policy": "Thresholds are locked before target execution and may not be weakened, moved, or reinterpreted after results are known. A change requires a new contract_id and contract_version under human review, and the superseded contract is retained. This applies independently of alpha.useful_speed.human_approval, which records sign-off on an observed ratio against these unchanged thresholds, not a change to the thresholds themselves.",
"contract_sha256": "cb5a482a8f142bf45b1dd401743d408acbfe5f85bab86023144a8c9485ac6379"
}