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4ec75cf 6f95f2a 4ec75cf 6f95f2a 4ec75cf 6f95f2a 4ec75cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 | # server/validation/validator.py
# 3-stage pre-action validation: Schema β Domain β Consistency.
# IMPORTANT: Validator should HELP agents, not trap them.
# - Auto-coerce types where possible (string "8.5" β float 8.5)
# - Only hard-reject truly unrecoverable actions (wrong domain)
# - Silently truncate oversized fields instead of rejecting
# - Rich hints so agent can self-correct on next step
from typing import Dict, Tuple
from functools import lru_cache
import json
VALID_VULN_TYPES = {
'sql_injection', 'xss', 'idor', 'hardcoded_secret', 'missing_auth',
'jwt_misuse', 'path_traversal', 'ssrf', 'rate_limit_missing', 'xxe'
}
VALID_SEVERITIES = {'critical', 'high', 'medium', 'low'}
VALID_RISK_LEVELS = {'critical', 'high', 'medium', 'low'}
# Which actions belong to which domain
DOMAIN_ACTIONS = {
'security': {'identify_vulnerability', 'propose_fix', 'revise_fix'},
'dependency': {'flag_outdated', 'resolve_conflict', 'migrate_api', 'validate_tree'},
'clinical': {'detect_gap', 'rank_issues', 'order_steps'},
}
# Required fields and their types for each action
ACTION_SCHEMAS = {
'identify_vulnerability': {
'vuln_type': str,
'cvss_score': (int, float),
'severity': str,
},
'propose_fix': {
'fix_code': str,
'explanation': str,
},
'revise_fix': {
'fix_code': str,
'addressed_feedback': str,
},
'flag_outdated': {
'packages': dict,
# deprecated_api and replacement are optional β handled below
},
'resolve_conflict': {
'packages': dict,
'reasoning': str,
},
'migrate_api': {
'completed_items': list,
'code_changes': dict,
},
'validate_tree': {
'completed_items': list,
},
'detect_gap': {
'missing_steps': list,
'risk_level': str,
},
'rank_issues': {
'priority_order': list,
},
'order_steps': {
'recovery_steps': list,
},
}
# Fields that are optional (won't cause hard rejection if missing)
OPTIONAL_FIELDS = {
'flag_outdated': {'deprecated_api', 'replacement'},
'identify_vulnerability': {'affected_line'},
}
def _coerce(action: Dict, schema: Dict) -> Dict:
"""Try to coerce field types before validating. Modifies action in-place.
This is critical for model compatibility β different LLMs output
numbers as strings, lists as comma-separated strings, etc.
"""
for field, expected_type in schema.items():
if field not in action:
continue
val = action[field]
# Already correct type
if isinstance(val, expected_type):
continue
# Try coercions
try:
target = expected_type[0] if isinstance(expected_type, tuple) else expected_type
if target == float:
action[field] = float(val)
elif target == int:
action[field] = int(val)
elif target == str and not isinstance(val, str):
action[field] = str(val)
elif target == list and isinstance(val, str):
# Try JSON parse first, then comma split
try:
import json as _j
parsed = _j.loads(val)
if isinstance(parsed, list):
action[field] = parsed
except Exception:
action[field] = [x.strip(' "\'') for x in val.strip('[]').split(',') if x.strip()]
elif target == dict and isinstance(val, str):
import json as _j
action[field] = _j.loads(val)
except Exception:
pass # Leave as-is; domain check will catch real problems
return action
def validate_action(action: Dict, session) -> Tuple[bool, Dict]:
"""3-stage validation. Returns (is_valid, feedback_observation).
Philosophy: be lenient on format (coerce types), strict on cross-domain actions.
An action in the wrong domain = hard reject.
An action with slightly wrong types = coerce and pass through.
"""
atype = action.get('action_type', '')
# ββ Stage 1: Is this a known action type? ββ
all_valid = set(ACTION_SCHEMAS.keys())
if atype not in all_valid:
return False, _fb(
'invalid_action_type',
f'Unknown action_type: {repr(atype)}',
session,
hint=f'Valid actions for {session.task_type}: {sorted(DOMAIN_ACTIONS.get(session.task_type, []))}',
)
# ββ Cross-domain check FIRST (before coercion) ββ
domain_valid = DOMAIN_ACTIONS.get(session.task_type, set())
if atype not in domain_valid:
return False, _fb(
'wrong_domain_action',
f'{repr(atype)} is not valid for task_type={repr(session.task_type)}',
session,
hint=f'Valid actions: {sorted(domain_valid)}',
)
# ββ Coerce types before schema check (be helpful to all models) ββ
schema = ACTION_SCHEMAS.get(atype, {})
action = _coerce(action, schema)
# ββ Stage 2: Check required fields are present ββ
optional = OPTIONAL_FIELDS.get(atype, set())
required_fields = [f for f in schema if f not in optional]
missing = [f for f in required_fields if f not in action]
if missing:
return False, _fb(
'missing_fields',
f'Missing required fields: {missing}',
session,
hint=f'Required for {atype}: {required_fields}',
)
# ββ Stage 3: Domain value validation ββ
errs = _domain_check(action, atype)
if errs:
return False, _fb(
'domain_error',
f'Invalid field values: {errs}',
session,
hint=_domain_hint(atype, errs),
)
# ββ Stage 4: Consistency check ββ
cons = _consistency_check(action, atype, session)
if cons:
return False, _fb('consistency_error', cons['message'], session, hint=cons['hint'])
return True, {}
@lru_cache(maxsize=1024)
def _cached_domain_errors(action_json: str, atype: str) -> list:
"""Pure domain check logic that can be safely cached."""
action = json.loads(action_json)
errors = []
if atype == 'identify_vulnerability':
vt = action.get('vuln_type', '')
if vt not in VALID_VULN_TYPES:
errors.append({'field': 'vuln_type', 'value': vt, 'allowed': sorted(VALID_VULN_TYPES)})
try:
cvss = float(action.get('cvss_score', -1))
if not (0.0 <= cvss <= 10.0):
errors.append({'field': 'cvss_score', 'value': cvss, 'allowed': '0.0 to 10.0'})
except (TypeError, ValueError):
errors.append({'field': 'cvss_score', 'value': action.get('cvss_score'), 'allowed': '0.0 to 10.0'})
sev = action.get('severity', '')
if sev not in VALID_SEVERITIES:
errors.append({'field': 'severity', 'value': sev, 'allowed': sorted(VALID_SEVERITIES)})
elif atype == 'detect_gap':
rl = action.get('risk_level', '')
if rl not in VALID_RISK_LEVELS:
errors.append({'field': 'risk_level', 'value': rl, 'allowed': sorted(VALID_RISK_LEVELS)})
elif atype == 'resolve_conflict':
pkgs = action.get('packages', {})
if not isinstance(pkgs, dict) or len(pkgs) == 0:
errors.append({'field': 'packages', 'issue': 'must be a non-empty dict of {package: version}'})
elif atype == 'migrate_api':
items = action.get('completed_items', [])
changes = action.get('code_changes', {})
if not isinstance(items, list) or len(items) == 0:
errors.append({'field': 'completed_items', 'issue': 'must be a non-empty list of break IDs'})
if not isinstance(changes, dict):
errors.append({'field': 'code_changes', 'issue': 'must be a dict of {break_id: fix_description}'})
return errors
def _domain_check(action: Dict, atype: str) -> list:
"""Check values are within allowed ranges/enums. Returns list of error dicts."""
# Handle mutations first (cannot be purely cached)
if atype in ('propose_fix', 'revise_fix'):
fix = action.get('fix_code', '')
if len(fix) > 2000:
# Silently truncate instead of rejecting β don't penalize verbose agents
action['fix_code'] = fix[:2000]
# Use cached pure function for validation
try:
action_json = json.dumps(action, sort_keys=True)
return _cached_domain_errors(action_json, atype)
except Exception:
# Fallback if not serializable
return _cached_domain_errors(json.dumps({'dummy': True}), atype)
def _domain_hint(atype: str, errors: list) -> str:
"""Generate a helpful hint for domain errors."""
fields = [e.get('field', '') for e in errors]
if 'vuln_type' in fields:
return "vuln_type must be one of: sql_injection, xss, idor, hardcoded_secret, missing_auth, jwt_misuse, path_traversal, ssrf, rate_limit_missing, xxe"
if 'severity' in fields:
return "severity must be one of: critical, high, medium, low"
if 'risk_level' in fields:
return "risk_level must be one of: critical, high, medium, low"
if 'cvss_score' in fields:
return "cvss_score must be a float between 0.0 and 10.0"
return f"Check field values for: {fields}"
def _consistency_check(action: Dict, atype: str, session) -> dict:
"""Check that action makes sense given session history."""
hist_types = [h.get('action_type') for h in session.history]
if atype == 'revise_fix' and 'propose_fix' not in hist_types:
return {
'message': 'Cannot call revise_fix before propose_fix',
'hint': 'Call propose_fix first, then revise_fix if you get reviewer feedback'
}
if atype == 'rank_issues' and 'detect_gap' not in hist_types:
return {
'message': 'Cannot call rank_issues before detect_gap',
'hint': 'Call detect_gap first, then rank_issues'
}
if atype == 'order_steps' and 'detect_gap' not in hist_types:
return {
'message': 'Cannot call order_steps before detect_gap',
'hint': 'Call detect_gap first, then rank_issues, then order_steps'
}
# Reject identical resolve_conflict proposals (infinite loop prevention)
if atype == 'resolve_conflict':
for prev in session.history:
if (prev.get('action_type') == 'resolve_conflict' and
prev.get('packages') == action.get('packages', {})):
return {
'message': 'Identical version proposal already submitted β this combination was rejected',
'hint': 'Try different package versions. Check the compatibility_matrix in the observation.'
}
return {}
def _fb(error_type: str, message: str, session, **kwargs) -> Dict:
"""Build a feedback observation for validation failures."""
obs = {
'validation_failed': True,
'error_type': error_type,
'message': message,
'turn': session.step_count,
'task_type': session.task_type,
'task_id': getattr(session, 'task_id', ''),
'available_actions': sorted(DOMAIN_ACTIONS.get(session.task_type, [])),
}
obs.update(kwargs)
return obs
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