Evaluate the preceding fixed pipeline and scripted refinement policy against the original development tasks. Preserve their executed actions, check exact source reads independently, then join the target labels. Apply a declared release threshold to the resulting task outcomes. Both policies retain a failed release gate in this run; no model agent or generated answer is evaluated.
When you need this. Use this pattern when a controller finishes but you still need to know whether it read the required source passage. Operational completion, valid source data and task success answer different questions.
Freeze inputs before executing either policy
The evaluator copies the existing policy and retrieval implementations unchanged. Execution receives only case ID, question and requested version. Target labels do not enter policy decisions, search, refinement or read calls.
The frozen configuration requests 2 deterministic repetitions for each policy and task. Corpus, full case-file, configuration and versioned checker-policy IDs bind the run. Each repeated trial has its own stable ID. Repetition checks agreement of deterministic executions; it is not independent model sampling or an uncertainty estimate.
The questions remain the original development cases. The evaluator does not query held-out cases, change a question to help a policy, or tune a rule after seeing these results.
Check actions and source reads without target labels
The operational checker starts with a fresh verifier over the pinned corpus. It reconstructs each successful search and its issued handles, then validates the exact read payload. It checks text, source version, source and text hashes, revision, span and handle membership rather than trusting a known passage ID or a repaired result hash.
It separately checks admitted actions, reserved bytes, cumulative usage and agreement between the action trace and observations. Read verification is checker work, outside the evaluated controller’s action counters. It uses deterministic local tools without a provider call.
Changed read payload. The fault fixture changes an actual read observation and the corresponding trace result after execution. The checker rejects that altered source text. This is a deliberate checker input corruption, not a claim that the original tool returned corrupted text. Wrong requested version. The checker refuses an action that searches a different version even if its returned passage exists in the corpus. Changed budget trace. Usage totals and admission flags must match the executed action sequence; self-reported completion does not bypass these checks.
The controller_terminal field preserves completed, limited or failed execution. execution_integrity reports structural action checks and successful source bindings. It does not authenticate an exception’s cause, establish authorization or judge the meaning of an answer.
Join exact targets after execution returns
Only after every policy run returns does the evaluator bind labels to the current corpus. The original target combines source ID, requested source version, raw source hash and exact chunk-text hash. This avoids comparing old target IDs directly with current passage IDs.
Missing target binding. A changed target hash refuses the join as NOTCOMPARABLE; it does not silently choose a replacement passage. Missing or duplicate trial. The evaluator refuses an incomplete or ambiguous trial join rather than grading only the surviving records.
For a supported task, reading all bound targets can pass. A completed controller that missed a target fails; an action budget that stops the work leaves the task incomplete. An integrity failure forces a failed task outcome. The original raw runtime remains alongside each check.
An unsupported question has no retrieval target. It remains incomplete instead of becoming a successful empty-target case, and it stays outside the supported denominator. Its operational status and read activity are still recorded.
Apply a fixture threshold and retain the failures
The explicit release policy requires every supported trial to pass and no integrity failures. These are local acceptance thresholds for this fixture set, not a general standard for model quality. The gate first checks comparable identities, complete repeats and deterministic agreement; otherwise it returns NOTCOMPARABLE.
The recorded gates are FAIL for the fixed pipeline and FAIL for scripted refinement. The scripted policy’s supported outcome counts are shown directly from the run:
| Outcome | Trials |
|---|---|
| pass | 4 |
| fail | 0 |
| incomplete | 2 |
The existing UTF-8 write task remains incomplete: its script reads JSON text after the broad initial search and does not reach the required write passage. The fixed pipeline also misses supported targets. The evaluator preserves these results instead of changing the policy or removing the failing task. A declared subset unit test exercises the PASS code path; it is not the full-suite result.
Actual tool failure. A trusted search implementation raises during real controller execution. Its gate remains FAIL, with the failed runtimes retained. Step budget. The deliberately smaller action budget produces a FAIL gate with supported tasks incomplete. Changed identity. A different expected corpus identity returns NOTCOMPARABLE, rather than comparing incompatible records.
Run the task evaluator locally
Download the retrieval-task evaluator lab. It includes the unchanged preceding policies, original Python-summary fixtures, source checker, release gate and tests. Use Python with SQLite FTS5; no third-party dependency installation is required.
"""Fixture task outcomes, independent operational checks, and explicit release policy."""
import copy
from dataclasses import asdict
from compare import execute,bind_targets,check_outcome
from limits import Limits,action_cost
from tools import DocumentationTools
from version_documents import canonical_hash,validate_snapshot
DEFAULT_CONFIG={'limits':{'max_steps':6,'max_searches':2,'max_reads':2,'max_source_bytes':4096},'policies':['fixed_pipeline','scripted_refinement'],'repeats':2}
GATE_POLICY={'minimum_supported_pass_fraction':1.0,'maximum_integrity_failures':0,'require_deterministic_repeats':True}
def validate_config(config):
if not isinstance(config,dict) or set(config)!={'limits','policies','repeats'}:raise ValueError('invalid_configuration')
if config['policies']!=['fixed_pipeline','scripted_refinement']:raise ValueError('invalid_policies')
if type(config['repeats']) is not int or not 2<=config['repeats']<=10:raise ValueError('invalid_repeats')
if not isinstance(config['limits'],dict) or set(config['limits'])!=set(asdict(Limits())):raise ValueError('invalid_limits')
Limits(**config['limits']);return copy.deepcopy(config)
def execute_trials(snapshot,questions,config):
"""Only case ID, question and version cross the execution boundary."""
validate_snapshot(snapshot);config=validate_config(config)
if not isinstance(questions,list) or not questions:raise ValueError('invalid_questions')
for q in questions:
if not isinstance(q,dict) or set(q)!={'case_id','question','version'}:raise ValueError('execution_projection_only')
if not all(isinstance(v,str) and v for v in q.values()):raise ValueError('invalid_question')
if len({q['case_id'] for q in questions})!=len(questions):raise ValueError('duplicate_question')
trials=[]
for repeat in range(1,config['repeats']+1):
for trial in execute(snapshot,copy.deepcopy(questions),Limits(**config['limits'])):
trial['repeat']=repeat;trial['trial_id']=canonical_hash({'case_id':trial['case_id'],'policy':trial['policy'],'repeat':repeat,'configuration':config,'corpus_id':snapshot['snapshot_id']});trials.append(trial)
return trials
def check_integrity(snapshot,trial,limits):
"""Rebuild issued handles in a fresh verifier; never use target labels here."""
tools=DocumentationTools(snapshot)
try:
runtime=trial['runtime']
if canonical_hash(runtime['limits'])!=canonical_hash(limits):raise ValueError('limits_mismatch')
usage={'steps':0,'searches':0,'reads':0,'reserved_source_bytes':0,'delivered_source_bytes':0};observations=[];seen=set();terminal=False
for event in runtime['trace']:
if terminal:raise ValueError('event_after_terminal')
if event['decision']=='refused':
if event.get('invoked') is not False:raise ValueError('refused_invoked')
terminal=True;continue
action=event['action'];tool=action['tool'];cost=action_cost(tools,action)
if tool=='search' and action['arguments']['version']!=trial['version']:raise ValueError('ineligible_version')
fingerprint=canonical_hash({'tool':tool,'arguments':({'query':action['arguments']['query'].lower(),'version':action['arguments']['version'],'k':action['arguments'].get('k',2)} if tool=='search' else action['arguments'])})
next_usage={**usage,'steps':usage['steps']+1,'searches':usage['searches']+int(tool=='search'),'reads':usage['reads']+int(tool=='read'),'reserved_source_bytes':usage['reserved_source_bytes']+cost}
checks=[('max_steps',next_usage['steps']),('max_searches',next_usage['searches']),('max_reads',next_usage['reads']),('max_source_bytes',next_usage['reserved_source_bytes'])]
denied=next((name for name,value in checks if value>limits[name]),None)
if event['decision']=='denied':
if event.get('invoked') is not False or not denied or event['reason']!=denied or event['preflight_source_bytes']!=cost:raise ValueError('invalid_denial')
terminal=True;continue
if event['decision']!='executed' or event.get('invoked') is not True or denied or fingerprint in seen:raise ValueError('invalid_admission')
if event['reserved_source_bytes']!=cost:raise ValueError('reservation_mismatch')
seen.add(fingerprint);usage=next_usage
if event['status']=='succeeded':
if tool=='search':
expected=tools.search(**action['arguments'])
if canonical_hash(expected)!=canonical_hash(event['result']):raise ValueError('search_provenance')
else:
tools.validate_read(event['result'],action['arguments']['handle']);usage['delivered_source_bytes']+=cost
observations.append({'tool':tool,'arguments':action['arguments'],'result':event['result']})
elif event['status']=='failed':
if 'result' in event:raise ValueError('failed_has_result')
terminal=True
else:raise ValueError('invalid_event_status')
if canonical_hash(usage)!=canonical_hash(event['usage_after']):raise ValueError('usage_progression')
if canonical_hash(usage)!=canonical_hash(runtime['usage']):raise ValueError('usage_total')
if canonical_hash(observations)!=canonical_hash(runtime['observations']):raise ValueError('observation_trace_mismatch')
status=runtime['controller_status']
if status not in ('completed','limited','failed'):raise ValueError('invalid_terminal')
if status=='limited' and (not runtime['trace'] or runtime['trace'][-1]['decision']!='denied'):raise ValueError('limited_without_denial')
if status=='failed' and (not runtime['trace'] or not (runtime['trace'][-1]['decision']=='refused' or runtime['trace'][-1].get('status')=='failed')):raise ValueError('failed_without_failure')
if status=='completed' and terminal:raise ValueError('completed_after_terminal')
return {'status':'pass','reason':'trace_budget_and_successful_source_bindings_match','verified_read_count':len([o for o in observations if o['tool']=='read'])}
except (ValueError,KeyError,TypeError,OverflowError):return {'status':'fail','reason':'trace_budget_or_provenance_mismatch','verified_read_count':0}
finally:tools.close()
def check_trial(snapshot,trial,label,limits):
integrity=check_integrity(snapshot,trial,limits)
outcome=check_outcome(trial,label)
if integrity['status']=='fail':outcome={**outcome,'status':'fail','reason':'execution_integrity_failure'}
return {**copy.deepcopy(trial),'execution_integrity':integrity,'controller_terminal':trial['runtime']['controller_status'],'task_outcome':outcome}
def evaluate_run(snapshot,cases,trials,config):
config=validate_config(config)
# Labels are bound only after all trial execution has returned.
labels,receipts=bind_targets(snapshot,cases)
questions=[{'case_id':c['id'],'question':c['input'],'version':c['tags']['python_version']} for c in cases]
identity={'corpus_id':snapshot['snapshot_id'],'configuration_id':canonical_hash(config),'cases_id':canonical_hash(cases),'checker_policy_id':canonical_hash({'version':1,'gate_policy':GATE_POLICY})}
expected={(q['case_id'],p,r) for q in questions for p in config['policies'] for r in range(1,config['repeats']+1)}
actual=[(t['case_id'],t['policy'],t['repeat']) for t in trials]
if len(actual)!=len(set(actual)) or set(actual)!=expected:raise ValueError('trial_join_mismatch')
by_id={q['case_id']:q for q in questions}
for t in trials:
q=by_id[t['case_id']]
if t['question']!=q['question'] or t['version']!=q['version']:raise ValueError('question_binding_mismatch')
expected_id=canonical_hash({'case_id':t['case_id'],'policy':t['policy'],'repeat':t['repeat'],'configuration':config,'corpus_id':snapshot['snapshot_id']})
if t['trial_id']!=expected_id:raise ValueError('trial_id_mismatch')
checked=[check_trial(snapshot,t,labels[t['case_id']],config['limits']) for t in trials]
return {'identity':identity,'configuration':config,'target_binding_receipts':receipts,'labels':labels,'trials':checked,'expected_trial_count':len(expected)}
def release_gate(report,expected_identity,policy_name):
"""These thresholds are explicit fixture policy, not general model quality."""
if report['identity']!=expected_identity or report['identity'].get('checker_policy_id')!=canonical_hash({'version':1,'gate_policy':GATE_POLICY}) or report['identity']['configuration_id']!=canonical_hash(report['configuration']) or policy_name not in report['configuration']['policies']:
return {'status':'NOTCOMPARABLE','reason':'identity_or_policy_mismatch','thresholds':GATE_POLICY}
selected=[t for t in report['trials'] if t['policy']==policy_name]
repeats=report['configuration']['repeats'];labels=report['labels']
keys=[(t['case_id'],t['repeat']) for t in selected]
if len(keys)!=len(set(keys)) or set(keys)!={(case,r) for case in labels for r in range(1,repeats+1)}:
return {'status':'NOTCOMPARABLE','reason':'missing_or_duplicate_trials','thresholds':GATE_POLICY}
deterministic=all(len({canonical_hash({key:t[key] for key in ('runtime','policy_terminal_status','policy_reason')}) for t in selected if t['case_id']==case})==1 for case in labels)
if not deterministic:return {'status':'NOTCOMPARABLE','reason':'repeat_disagreement','thresholds':GATE_POLICY}
supported=[t for t in selected if labels[t['case_id']]['target_passage_ids']]
if not supported:return {'status':'NOTCOMPARABLE','reason':'no_supported_targets','thresholds':GATE_POLICY}
counts={status:sum(t['task_outcome']['status']==status for t in supported) for status in ('pass','fail','incomplete')}
integrity_failures=sum(t['execution_integrity']['status']=='fail' for t in selected)
passed=counts['pass']==len(supported) and integrity_failures==0
return {'status':'PASS' if passed else 'FAIL','reason':'fixture_thresholds_met' if passed else 'fixture_thresholds_not_met','thresholds':GATE_POLICY,'supported_trials':len(supported),'supported_outcomes':counts,'unsupported_trials':len(selected)-len(supported),'integrity_failures':integrity_failures,'deterministic_repeats':deterministic}python run.py --output scratch-result.json
python -m unittest discover -v{
"execution_mode": "offline-deterministic-scripted-retrieval-task-evaluation",
"normal_gates": {
"fixed_pipeline": "FAIL",
"scripted_refinement": "FAIL"
},
"step_budget_gate": "FAIL",
"corrupt_read_gate": "FAIL",
"actual_tool_failure_gate": "FAIL",
"missing_target": "NOTCOMPARABLE",
"identity_mismatch": "NOTCOMPARABLE"
}The CLI performs real local searches and source reads. It runs the original policies before joining their labels, then exercises separate budget, corruption and tool-failure scenarios. The raw record contains the failed and incomplete trials, source bindings, identities and gate thresholds. No network service or model endpoint is used.
Inspect the complete actual evaluation
{
"schema_version": 1,
"execution_mode": "offline-deterministic-scripted-retrieval-task-evaluation",
"model_called": false,
"configuration_frozen_before_execution": {
"limits": {
"max_steps": 6,
"max_searches": 2,
"max_reads": 2,
"max_source_bytes": 4096
},
"policies": [
"fixed_pipeline",
"scripted_refinement"
],
"repeats": 2
},
"normal": {
"identity": {
"corpus_id": "0615d22a3315e97c0a88c6c566c546877304f5a28a97e83f68dd36881d4bbd0e",
"configuration_id": "55bced7d1c7abe2d05bdf1d4d5cd2356268af79105b5365a8152befc4d4e1cc7",
"cases_id": "2e0069fe45e7db02d4fa8be37b6b286d6ff46e65068ccf2576a5b66c98610d1a",
"checker_policy_id": "d5d70fe72014aa0a12d92ed504e7a110e88efa68f1ea643961520d86ef2b805b"
},
"configuration": {
"limits": {
"max_steps": 6,
"max_searches": 2,
"max_reads": 2,
"max_source_bytes": 4096
},
"policies": [
"fixed_pipeline",
"scripted_refinement"
],
"repeats": 2
},
"target_binding_receipts": [
{
"case_id": "utf8-write",
"legacy_chunk_id": "path-write:b71a2d18a53d86bf",
"current_passage_id": "c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7",
"binding": [
"source_id",
"source_version",
"source_text_sha256",
"chunk_text_sha256"
]
},
{
"case_id": "replace-file",
"legacy_chunk_id": "path-write:b71a2d18a53d86bf",
"current_passage_id": "c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7",
"binding": [
"source_id",
"source_version",
"source_text_sha256",
"chunk_text_sha256"
]
},
{
"case_id": "json-result-type",
"legacy_chunk_id": "json-text:8a17e251a41ccb3b",
"current_passage_id": "e5455737b11664449f653280d89dfc2faaa9a14de16e9c3eb24296ca2ceea51c",
"binding": [
"source_id",
"source_version",
"source_text_sha256",
"chunk_text_sha256"
]
}
],
"labels": {
"utf8-write": {
"case_class": "answerable",
"target_passage_ids": [
"c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7"
],
"target_bindings": [
{
"passage_id": "c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7",
"source_id": "path-write",
"version": "3.12",
"source_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"text_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"document_revision": "28c6349eaf80b629322edb310bb871dc45a04af9fad3b752bc75d12f0d7314e7",
"start_line": 1,
"end_line": 1
}
]
},
"replace-file": {
"case_class": "answerable",
"target_passage_ids": [
"c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7"
],
"target_bindings": [
{
"passage_id": "c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7",
"source_id": "path-write",
"version": "3.12",
"source_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"text_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"document_revision": "28c6349eaf80b629322edb310bb871dc45a04af9fad3b752bc75d12f0d7314e7",
"start_line": 1,
"end_line": 1
}
]
},
"json-result-type": {
"case_class": "answerable",
"target_passage_ids": [
"e5455737b11664449f653280d89dfc2faaa9a14de16e9c3eb24296ca2ceea51c"
],
"target_bindings": [
{
"passage_id": "e5455737b11664449f653280d89dfc2faaa9a14de16e9c3eb24296ca2ceea51c",
"source_id": "json-text",
"version": "3.12",
"source_sha256": "0f5efa9669a97f93d5e7e8fe91de80a0d954643947ac9619dba41d3904166288",
"text_sha256": "0f5efa9669a97f93d5e7e8fe91de80a0d954643947ac9619dba41d3904166288",
"document_revision": "0c4b565b2b1900787d6da9f8539c471f8cb2245c00abf887a57d460364abc57a",
"start_line": 1,
"end_line": 1
}
]
},
"backup-schedule": {
"case_class": "unsupported",
"target_passage_ids": [],
"target_bindings": []
}
},
"trials": [
{
"case_id": "utf8-write",
"question": "How do I explicitly select UTF-8 when saving text with pathlib?",
"version": "3.12",
"policy": "fixed_pipeline",
"policy_terminal_status": "completed",
"policy_reason": "fixed_pipeline_done",
"runtime": {
"controller_status": "completed",
"terminal_reason": "policy_complete",
"limits": {
"max_steps": 6,
"max_searches": 2,
"max_reads": 2,
"max_source_bytes": 4096
},
"usage": {
"steps": 2,
"searches": 1,
"reads": 1,
"reserved_source_bytes": 154,
"delivered_source_bytes": 154
},
"trace": [
{
"action": {
"tool": "search",
"arguments": {
"query": "text",
"version": "3.12",
"k": 2
}
},
"decision": "executed",
"invoked": true,
"reserved_source_bytes": 0,
"status": "succeeded",
"result": {
"corpus_id": "0615d22a3315e97c0a88c6c566c546877304f5a28a97e83f68dd36881d4bbd0e",
"search_request_id": "3f33383e706e36449e22c380704d880d5e2b8a4b1f6b779b8aa54206e072ad5f",
"query": "text",
"version": "3.12",
"k": 2,
"results": [
{
"corpus_id": "0615d22a3315e97c0a88c6c566c546877304f5a28a97e83f68dd36881d4bbd0e",
"search_request_id": "3f33383e706e36449e22c380704d880d5e2b8a4b1f6b779b8aa54206e072ad5f",
"passage_id": "c737db948e8111ae00e3442d8a22c80c876e43446dc1ee176ffe8ce142a41900",
"source_id": "path-read",
"version": "3.12",
"document_revision": "b58385b9bf597a951c16c035653d639929924e53eae3e5ada255afd6ee1592f2",
"source_sha256": "dc097ca63486ace45279f412ea266bf754fcd2f0b1153f5d763ce905dafbc2c0",
"start_line": 1,
"end_line": 1,
"text_sha256": "dc097ca63486ace45279f412ea266bf754fcd2f0b1153f5d763ce905dafbc2c0",
"byte_count": 154,
"native_score": -1.4220532319391636e-06,
"rank": 1,
"read_token": "72abbf5e0022ef780447ed8c2322b711cac8b4971d817a440bc02dfa28b07124"
},
{
"corpus_id": "0615d22a3315e97c0a88c6c566c546877304f5a28a97e83f68dd36881d4bbd0e",
"search_request_id": "3f33383e706e36449e22c380704d880d5e2b8a4b1f6b779b8aa54206e072ad5f",
"passage_id": "c66643a4609c6ee157458bf4353f7446b9c6a200a3ef453846d6a18d5b5069a7",
"source_id": "path-write",
"version": "3.12",
"document_revision": "28c6349eaf80b629322edb310bb871dc45a04af9fad3b752bc75d12f0d7314e7",
"source_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"start_line": 1,
"end_line": 1,
"text_sha256": "a48b4b9f763cd6309ebe32af19c5a814adcf810c2259683da9f328ccee46948e",
"byte_count": 224,
"native_score": -1.3203883495145633e-06,
"rank": 2,
"read_token": "189bf56802f958924691f452106802696dcd22186df4ee9c03bf0efecf1e1f81"
}
]
},
"usage_after": {
"steps": 1,
"searches": 1,
"reads": 0,
"reserved_source_bytes": 0,
"delivered_source_bytes": 0
}
},
{
"action": {
"tool": "read",
"arguments": {
"handle": {
"corpus_id": "0615d22a3315e97c0a88c6c566c546877304f5a28a97e83f68dd36881d4bbd0e",
"search_request_id": "3f33383e706e36449e22c380704d880d5e2b8a4b1f6b779b8aa54206e072ad5f",
"passage_id": "c737db948e8111ae00e3442d8a22c80c876e43446dc1ee176ffe8ce142a41900",
"source_id": "path-read",
"version": "3.12",
"document_revision": "b58385b9bf597a951c16c035653d639929924e53eae3e5ada255afd6ee1592f2",
"source_sha256": "dc097ca63486ace45279f412ea266bf754fcd2f0b1153f5d763ce905dafbc2c0",
"start_line": 1,
"end_line": 1,
"text_sha256": "dc097ca63486ace45279f412ea266bf754fcd2f0b1153f5d763ce905dafbc2c0",
"byte_count": 154,
"native_score": -1.4220532319391636e-06,
"rank": 1,
"read_token": "72abbf5e0022ef780447ed8c2322b711cac8b4971d817a440bc02dfa28b07124"
}
}
},
"decision": "executed",
"invoked": true,
"reserved_source_bytes": 154,
"status": "succeeded",
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{
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},
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},
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},
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"reason": "fixture_thresholds_not_met",
"thresholds": {
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"maximum_integrity_failures": 0,
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"incomplete": 0
},
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}
},
"missing_target_binding": {
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"reason": "target_binding_not_bijective",
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},
"identity_mismatch_gate": {
"status": "NOTCOMPARABLE",
"reason": "identity_or_policy_mismatch",
"thresholds": {
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"maximum_integrity_failures": 0,
"require_deterministic_repeats": true
}
},
"scope": "Two deterministic repetitions of four original development cases only. Labels join after execution. Unsupported cases remain incomplete, excluded from supported denominator. Local threshold policy is not a model-quality release claim. Source verifier reconstructs successful deterministic tool receipts; failed-call causes are not authenticated. No generated answers, held-out queries or uncertainty estimate."
}Explain one failed gate from its trial
Find the scripted UTF-8 write trial. Compare its controller terminal state, verified read passages and required target. Identify why the operational checks can pass while the task remains incomplete. Then inspect the altered-read fixture: explain why the checker fails even though the passage ID is still known. Finally, compare a failed gate with a NOTCOMPARABLE identity result.
The policies differ in domain-specific rules and actual action effort despite sharing a maximum budget. This fixture does not isolate architecture from rule design, estimate held-out quality, evaluate generated answers or establish how an open-ended model agent will behave. The evaluator and expected identities are trusted local inputs; hashes are consistency checks, not tamper-resistant signatures.
Read the explanation
Keep controller termination, source/action consistency and target satisfaction separate.
What’s next
Continue with Release the RAG Application.
References
The preceding policy comparison supplies the exact executed implementations and target-binding contract. The Python unittest documentation describes the assertion framework. Task states, the label boundary and release thresholds are this lab’s explicit application policy.