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Author SHA1 Message Date
Alexander Whitestone
e6c346c6bb feat: time-aware model routing for cron jobs (#317)
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Route cron jobs to different models based on time of day.

- Peak hours (user active): cheaper model, user catches errors
- Off-peak hours (user absent): stronger model, errors go uncorrected

Config under smart_model_routing.cron_time_routing:
  enabled, timezone, peak_hours (start/end), peak_model, offpeak_model

Integrates into cron/scheduler.py via resolve_cron_turn_route(), which
checks time-aware routing first, then falls back to normal smart routing.

12 tests added (test_cron_time_routing.py). All 18 routing tests pass.

Closes #317
2026-04-13 17:30:07 -04:00
1ec02cf061 Merge pull request 'fix(gateway): reject known-weak placeholder tokens at startup' (#371) from fix/weak-credential-guard into main
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2026-04-13 20:33:00 +00:00
Alexander Whitestone
1156875cb5 fix(gateway): reject known-weak placeholder tokens at startup
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Fixes #318

Cherry-picked concept from ferris fork (f724079).

Problem: Users who copy .env.example without changing values
get confusing auth failures at gateway startup.

Fix: _guard_weak_credentials() checks TELEGRAM_BOT_TOKEN,
DISCORD_BOT_TOKEN, SLACK_BOT_TOKEN, HASS_TOKEN against
known-weak placeholder patterns (your-token-here, fake, xxx,
etc.) and minimum length requirements. Warns at startup.

Tests: 6 tests (no tokens, placeholder, case-insensitive,
short token, valid pass-through, multiple weak). All pass.
2026-04-13 16:32:56 -04:00
f4c102400e Merge pull request 'feat(memory): enable temporal decay with access-recency boost — #241' (#367) from feat/temporal-decay-holographic-memory into main
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Merge PR #367: feat(memory): enable temporal decay with access-recency boost
2026-04-13 19:51:04 +00:00
6555ccabc1 Merge pull request 'fix(tools): validate handler return types at dispatch boundary' (#369) from fix/tool-return-type-validation into main
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2026-04-13 19:47:56 +00:00
Alexander Whitestone
8c712866c4 fix(tools): validate handler return types at dispatch boundary
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Fixes #297

Problem: Tool handlers that return dict/list/None instead of a
JSON string crash the agent loop with cryptic errors. No error
proofing at the boundary.
Fix: In handle_function_call(), after dispatch returns:
1. If result is not str → wrap in JSON with _type_warning
2. If result is str but not valid JSON → wrap in {"output": ...}
3. Log type violations for analysis
4. Valid JSON strings pass through unchanged

Tests: 4 new tests (dict, None, non-JSON string, valid JSON).
All 16 tests in test_model_tools.py pass.
2026-04-13 15:47:52 -04:00
8fb59aae64 Merge pull request 'fix(tools): memory no-match is success, not error' (#368) from fix/memory-no-match-not-error into main
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2026-04-13 19:41:08 +00:00
Alexander Whitestone
95bde9d3cb fix(tools): memory no-match is success, not error
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Fixes #313

Problem: MemoryStore.replace() and .remove() return
{"success": false, "error": "No entry matched..."} when the
search substring is not found. This is a valid outcome, not
an error. The empirical audit showed 58.4% error rate on the
memory tool, but 98.4% of those were just empty search results.

Fix: Return {"success": true, "result": "no_match", "message": ...}
instead. This drops the memory tool error rate from ~58% to ~1%.

Tests updated: test_replace_no_match and test_remove_no_match
now assert success=True with result="no_match".
All 33 memory tool tests pass.
2026-04-13 15:40:48 -04:00
Alexander Whitestone
aa6eabb816 feat(memory): enable temporal decay with access-recency boost
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The holographic retriever had temporal decay implemented but disabled
(half_life=0). All facts scored equally regardless of age — a 2-year-old
fact about a deprecated tool scored the same as yesterday's deployment
config.

This commit:
1. Changes default temporal_decay_half_life from 0 to 60 days
   - 60 days: facts lose half their relevance every 2 months
   - Configurable via config.yaml: plugins.hermes-memory-store.temporal_decay_half_life
   - Added to config schema so `hermes memory setup` exposes it

2. Adds access-recency boost to search scoring
   - Facts accessed within 1 half-life get up to 1.5x boost on their decay factor
   - Boost tapers linearly from 1.5 (just accessed) to 1.0 (1 half-life ago)
   - Capped at 1.0 effective score (boost can't exceed fresh-fact score)
   - Prevents actively-used facts from decaying prematurely

3. Scoring pipeline: score = relevance * trust * decay * min(1.0, access_boost)
   - Fresh facts: decay=1.0, boost≈1.5 → score unchanged
   - 60-day-old, recently accessed: decay=0.5, boost≈1.25 → score=0.625
   - 60-day-old, not accessed: decay=0.5, boost=1.0 → score=0.5
   - 120-day-old, not accessed: decay=0.25, boost=1.0 → score=0.25

23 tests covering:
- Temporal decay formula (fresh, 1HL, 2HL, 3HL, disabled, None, invalid, future)
- Access recency boost (just accessed, halfway, at HL, beyond HL, disabled, range)
- Integration (recently-accessed old fact > equally-old unaccessed fact)
- Default config verification (half_life=60, not 0)

Fixes #241
2026-04-13 15:38:12 -04:00
3b89bfbab2 fix(tools): ast.parse() preflight in execute_code — eliminates ~1,400 sandbox errors (#366)
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2026-04-13 19:26:06 +00:00
16 changed files with 944 additions and 20 deletions

View File

@@ -4,6 +4,7 @@ from __future__ import annotations
import os import os
import re import re
from datetime import datetime
from typing import Any, Dict, Optional from typing import Any, Dict, Optional
from utils import is_truthy_value from utils import is_truthy_value
@@ -182,7 +183,7 @@ def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any
"command": runtime.get("command"), "command": runtime.get("command"),
"args": list(runtime.get("args") or []), "args": list(runtime.get("args") or []),
}, },
"label": f"smart route {route.get('model')} ({runtime.get('provider')})", "label": f"smart route \u2192 {route.get('model')} ({runtime.get('provider')})",
"signature": ( "signature": (
route.get("model"), route.get("model"),
runtime.get("provider"), runtime.get("provider"),
@@ -192,3 +193,151 @@ def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any
tuple(runtime.get("args") or ()), tuple(runtime.get("args") or ()),
), ),
} }
# ---------------------------------------------------------------------------
# Time-aware cron model routing
# ---------------------------------------------------------------------------
# During peak hours (user active), cron jobs use a cheaper model because the
# user is present to catch and correct errors. During off-peak hours (user
# absent), cron jobs use a stronger model because errors go uncorrected.
#
# Config (under smart_model_routing.cron_time_routing):
# enabled: true
# timezone: "America/New_York" # IANA timezone name (default: UTC)
# peak_hours:
# start: 9 # inclusive, 0-23
# end: 18 # exclusive, 0-23
# peak_model: # model to use during peak hours
# provider: openrouter
# model: xiaomi/mimo-v2-pro
# offpeak_model: # model to use during off-peak hours
# provider: openrouter
# model: anthropic/claude-sonnet-4
def _get_current_hour_in_tz(tz_name: str) -> int:
"""Return the current hour (0-23) in the given IANA timezone."""
try:
from zoneinfo import ZoneInfo
tz = ZoneInfo(tz_name)
except Exception:
try:
import pytz
tz = pytz.timezone(tz_name)
except Exception:
return datetime.utcnow().hour
return datetime.now(tz).hour
def _is_peak_hour(hour: int, peak_start: int, peak_end: int) -> bool:
"""Return True if *hour* falls within [peak_start, peak_end).
Handles wrap-around (e.g. start=22, end=6 means 22:00-05:59 is peak).
"""
if peak_start <= peak_end:
return peak_start <= hour < peak_end
else:
# Wraps midnight: e.g. 22-6 means 22,23,0,1,2,3,4,5
return hour >= peak_start or hour < peak_end
def resolve_cron_time_route(
routing_config: Optional[Dict[str, Any]],
) -> Optional[Dict[str, Any]]:
"""Return a time-aware model override for cron jobs.
Considers the current hour in the configured timezone and picks
between a peak-hours model (cheaper, user present) and an off-peak
model (stronger, user absent, errors go uncorrected).
Returns None when time-aware routing is disabled or misconfigured,
so the caller falls through to normal routing.
"""
cfg = routing_config or {}
cron_cfg = cfg.get("cron_time_routing") or {}
if not _coerce_bool(cron_cfg.get("enabled"), False):
return None
tz_name = str(cron_cfg.get("timezone", "UTC")).strip()
peak = cron_cfg.get("peak_hours") or {}
peak_start = _coerce_int(peak.get("start"), 9)
peak_end = _coerce_int(peak.get("end"), 18)
current_hour = _get_current_hour_in_tz(tz_name)
is_peak = _is_peak_hour(current_hour, peak_start, peak_end)
if is_peak:
model_cfg = cron_cfg.get("peak_model") or {}
reason = "cron_peak_hours"
else:
model_cfg = cron_cfg.get("offpeak_model") or {}
reason = "cron_offpeak_hours"
provider = str(model_cfg.get("provider") or "").strip().lower()
model = str(model_cfg.get("model") or "").strip()
if not provider or not model:
return None
return {
"provider": provider,
"model": model,
"base_url": model_cfg.get("base_url", ""),
"api_key_env": model_cfg.get("api_key_env", ""),
"routing_reason": reason,
"is_peak_hour": is_peak,
"hour": current_hour,
}
def resolve_cron_turn_route(
user_message: str,
routing_config: Optional[Dict[str, Any]],
primary: Dict[str, Any],
) -> Dict[str, Any]:
"""Resolve model route for a cron job turn with time-awareness.
Checks time-aware routing first (cron_time_routing), then falls
back to normal smart routing, then falls back to primary.
"""
# 1. Time-aware cron routing (peak vs off-peak)
time_route = resolve_cron_time_route(routing_config)
if time_route:
from hermes_cli.runtime_provider import resolve_runtime_provider
explicit_api_key = None
api_key_env = str(time_route.get("api_key_env") or "").strip()
if api_key_env:
explicit_api_key = os.getenv(api_key_env) or None
try:
runtime = resolve_runtime_provider(
requested=time_route.get("provider"),
explicit_api_key=explicit_api_key,
explicit_base_url=time_route.get("base_url"),
)
peak_label = "peak" if time_route.get("is_peak_hour") else "off-peak"
return {
"model": time_route.get("model"),
"runtime": {
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
},
"label": f"cron {peak_label} -> {time_route.get('model')} ({runtime.get('provider')})",
"signature": (
time_route.get("model"),
runtime.get("provider"),
runtime.get("base_url"),
runtime.get("api_mode"),
runtime.get("command"),
tuple(runtime.get("args") or ()),
),
}
except Exception:
pass # Fall through to normal routing
# 2. Normal smart routing (simple-turn cheap model)
return resolve_turn_route(user_message, routing_config, primary)

View File

@@ -87,6 +87,21 @@ model:
# cheap_model: # cheap_model:
# provider: openrouter # provider: openrouter
# model: google/gemini-2.5-flash # model: google/gemini-2.5-flash
# # Time-aware cron routing: pick model based on hour of day.
# # Peak hours = user present, cheaper model OK (they catch errors).
# # Off-peak = user absent, stronger model (errors go uncorrected).
# cron_time_routing:
# enabled: true
# timezone: "America/New_York" # IANA timezone (default: UTC)
# peak_hours:
# start: 9 # inclusive, 0-23
# end: 18 # exclusive, 0-23
# peak_model: # model during peak hours (user active)
# provider: openrouter
# model: xiaomi/mimo-v2-pro
# offpeak_model: # model during off-peak (user absent)
# provider: openrouter
# model: anthropic/claude-sonnet-4
# ============================================================================= # =============================================================================
# Git Worktree Isolation # Git Worktree Isolation

View File

@@ -762,8 +762,8 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
message = format_runtime_provider_error(exc) message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc raise RuntimeError(message) from exc
from agent.smart_model_routing import resolve_turn_route from agent.smart_model_routing import resolve_cron_turn_route
turn_route = resolve_turn_route( turn_route = resolve_cron_turn_route(
prompt, prompt,
smart_routing, smart_routing,
{ {
@@ -776,6 +776,8 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
"args": list(runtime.get("args") or []), "args": list(runtime.get("args") or []),
}, },
) )
if turn_route.get("label"):
logger.info("Job '%s': %s", job_name, turn_route["label"])
_agent_kwargs = _safe_agent_kwargs({ _agent_kwargs = _safe_agent_kwargs({
"model": turn_route["model"], "model": turn_route["model"],

View File

@@ -648,6 +648,51 @@ def load_gateway_config() -> GatewayConfig:
return config return config
# Known-weak placeholder tokens from .env.example, tutorials, etc.
_WEAK_TOKEN_PATTERNS = {
"your-token-here", "your_token_here", "your-token", "your_token",
"change-me", "change_me", "changeme",
"xxx", "xxxx", "xxxxx", "xxxxxxxx",
"test", "testing", "fake", "placeholder",
"replace-me", "replace_me", "replace this",
"insert-token-here", "put-your-token",
"bot-token", "bot_token",
"sk-xxxxxxxx", "sk-placeholder",
"BOT_TOKEN_HERE", "YOUR_BOT_TOKEN",
}
# Minimum token lengths by platform (tokens shorter than these are invalid)
_MIN_TOKEN_LENGTHS = {
"TELEGRAM_BOT_TOKEN": 30,
"DISCORD_BOT_TOKEN": 50,
"SLACK_BOT_TOKEN": 20,
"HASS_TOKEN": 20,
}
def _guard_weak_credentials() -> list[str]:
"""Check env vars for known-weak placeholder tokens.
Returns a list of warning messages for any weak credentials found.
"""
warnings = []
for env_var, min_len in _MIN_TOKEN_LENGTHS.items():
value = os.getenv(env_var, "").strip()
if not value:
continue
if value.lower() in _WEAK_TOKEN_PATTERNS:
warnings.append(
f"{env_var} is set to a placeholder value ('{value[:20]}'). "
f"Replace it with a real token."
)
elif len(value) < min_len:
warnings.append(
f"{env_var} is suspiciously short ({len(value)} chars, "
f"expected >{min_len}). May be truncated or invalid."
)
return warnings
def _apply_env_overrides(config: GatewayConfig) -> None: def _apply_env_overrides(config: GatewayConfig) -> None:
"""Apply environment variable overrides to config.""" """Apply environment variable overrides to config."""
@@ -941,3 +986,7 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.default_reset_policy.at_hour = int(reset_hour) config.default_reset_policy.at_hour = int(reset_hour)
except ValueError: except ValueError:
pass pass
# Guard against weak placeholder tokens from .env.example copies
for warning in _guard_weak_credentials():
logger.warning("Weak credential: %s", warning)

View File

@@ -299,6 +299,13 @@ DEFAULT_CONFIG = {
"max_simple_chars": 160, "max_simple_chars": 160,
"max_simple_words": 28, "max_simple_words": 28,
"cheap_model": {}, "cheap_model": {},
"cron_time_routing": {
"enabled": False,
"timezone": "UTC",
"peak_hours": {"start": 9, "end": 18},
"peak_model": {},
"offpeak_model": {},
},
}, },
# Auxiliary model config — provider:model for each side task. # Auxiliary model config — provider:model for each side task.

View File

@@ -540,6 +540,29 @@ def handle_function_call(
except Exception: except Exception:
pass pass
# Poka-yoke: validate tool handler return type.
# Handlers MUST return a JSON string. If they return dict/list/None,
# wrap the result so the agent loop doesn't crash with cryptic errors.
if not isinstance(result, str):
logger.warning(
"Tool '%s' returned %s instead of str — wrapping in JSON",
function_name, type(result).__name__,
)
result = json.dumps(
{"output": str(result), "_type_warning": f"Tool returned {type(result).__name__}, expected str"},
ensure_ascii=False,
)
else:
# Validate it's parseable JSON
try:
json.loads(result)
except (json.JSONDecodeError, TypeError):
logger.warning(
"Tool '%s' returned non-JSON string — wrapping in JSON",
function_name,
)
result = json.dumps({"output": result}, ensure_ascii=False)
return result return result
except Exception as e: except Exception as e:

View File

@@ -12,7 +12,7 @@ Config in $HERMES_HOME/config.yaml (profile-scoped):
auto_extract: false auto_extract: false
default_trust: 0.5 default_trust: 0.5
min_trust_threshold: 0.3 min_trust_threshold: 0.3
temporal_decay_half_life: 0 temporal_decay_half_life: 60
""" """
from __future__ import annotations from __future__ import annotations
@@ -152,6 +152,7 @@ class HolographicMemoryProvider(MemoryProvider):
{"key": "auto_extract", "description": "Auto-extract facts at session end", "default": "false", "choices": ["true", "false"]}, {"key": "auto_extract", "description": "Auto-extract facts at session end", "default": "false", "choices": ["true", "false"]},
{"key": "default_trust", "description": "Default trust score for new facts", "default": "0.5"}, {"key": "default_trust", "description": "Default trust score for new facts", "default": "0.5"},
{"key": "hrr_dim", "description": "HRR vector dimensions", "default": "1024"}, {"key": "hrr_dim", "description": "HRR vector dimensions", "default": "1024"},
{"key": "temporal_decay_half_life", "description": "Days for facts to lose half their relevance (0=disabled)", "default": "60"},
] ]
def initialize(self, session_id: str, **kwargs) -> None: def initialize(self, session_id: str, **kwargs) -> None:
@@ -168,7 +169,7 @@ class HolographicMemoryProvider(MemoryProvider):
default_trust = float(self._config.get("default_trust", 0.5)) default_trust = float(self._config.get("default_trust", 0.5))
hrr_dim = int(self._config.get("hrr_dim", 1024)) hrr_dim = int(self._config.get("hrr_dim", 1024))
hrr_weight = float(self._config.get("hrr_weight", 0.3)) hrr_weight = float(self._config.get("hrr_weight", 0.3))
temporal_decay = int(self._config.get("temporal_decay_half_life", 0)) temporal_decay = int(self._config.get("temporal_decay_half_life", 60))
self._store = MemoryStore(db_path=db_path, default_trust=default_trust, hrr_dim=hrr_dim) self._store = MemoryStore(db_path=db_path, default_trust=default_trust, hrr_dim=hrr_dim)
self._retriever = FactRetriever( self._retriever = FactRetriever(

View File

@@ -98,7 +98,15 @@ class FactRetriever:
# Optional temporal decay # Optional temporal decay
if self.half_life > 0: if self.half_life > 0:
score *= self._temporal_decay(fact.get("updated_at") or fact.get("created_at")) decay = self._temporal_decay(fact.get("updated_at") or fact.get("created_at"))
# Access-recency boost: facts retrieved recently decay slower.
# A fact accessed within 1 half-life gets up to 1.5x the decay
# factor, tapering to 1.0x (no boost) after 2 half-lives.
last_accessed = fact.get("last_accessed_at")
if last_accessed:
access_boost = self._access_recency_boost(last_accessed)
decay = min(1.0, decay * access_boost)
score *= decay
fact["score"] = score fact["score"] = score
scored.append(fact) scored.append(fact)
@@ -591,3 +599,41 @@ class FactRetriever:
return math.pow(0.5, age_days / self.half_life) return math.pow(0.5, age_days / self.half_life)
except (ValueError, TypeError): except (ValueError, TypeError):
return 1.0 return 1.0
def _access_recency_boost(self, last_accessed_str: str | None) -> float:
"""Boost factor for recently-accessed facts. Range [1.0, 1.5].
Facts accessed within 1 half-life get up to 1.5x boost (compensating
for content staleness when the fact is still being actively used).
Boost decays linearly to 1.0 (no boost) at 2 half-lives.
Returns 1.0 if half-life is disabled or timestamp is missing.
"""
if not self.half_life or not last_accessed_str:
return 1.0
try:
if isinstance(last_accessed_str, str):
ts = datetime.fromisoformat(last_accessed_str.replace("Z", "+00:00"))
else:
ts = last_accessed_str
if ts.tzinfo is None:
ts = ts.replace(tzinfo=timezone.utc)
age_days = (datetime.now(timezone.utc) - ts).total_seconds() / 86400
if age_days < 0:
return 1.5 # Future timestamp = just accessed
half_lives_since_access = age_days / self.half_life
if half_lives_since_access <= 1.0:
# Within 1 half-life: linearly from 1.5 (just now) to 1.0 (at 1 HL)
return 1.0 + 0.5 * (1.0 - half_lives_since_access)
elif half_lives_since_access <= 2.0:
# Between 1 and 2 half-lives: linearly from 1.0 to 1.0 (no boost)
return 1.0
else:
return 1.0
except (ValueError, TypeError):
return 1.0

View File

@@ -0,0 +1,164 @@
"""Tests for time-aware cron model routing."""
from agent.smart_model_routing import (
_is_peak_hour,
resolve_cron_time_route,
resolve_cron_turn_route,
)
# ---------------------------------------------------------------------------
# _is_peak_hour
# ---------------------------------------------------------------------------
def test_peak_hour_within_normal_range():
assert _is_peak_hour(10, 9, 18) is True
assert _is_peak_hour(12, 9, 18) is True
assert _is_peak_hour(17, 9, 18) is True
def test_peak_hour_outside_normal_range():
assert _is_peak_hour(8, 9, 18) is False
assert _is_peak_hour(18, 9, 18) is False
assert _is_peak_hour(22, 9, 18) is False
assert _is_peak_hour(0, 9, 18) is False
def test_peak_hour_at_boundaries():
assert _is_peak_hour(9, 9, 18) is True # start inclusive
assert _is_peak_hour(18, 9, 18) is False # end exclusive
def test_peak_hour_wraps_midnight():
# 22-6 means peak from 22:00 to 05:59
assert _is_peak_hour(22, 22, 6) is True
assert _is_peak_hour(23, 22, 6) is True
assert _is_peak_hour(0, 22, 6) is True
assert _is_peak_hour(5, 22, 6) is True
assert _is_peak_hour(6, 22, 6) is False
assert _is_peak_hour(12, 22, 6) is False
assert _is_peak_hour(21, 22, 6) is False
# ---------------------------------------------------------------------------
# resolve_cron_time_route
# ---------------------------------------------------------------------------
_CRON_ROUTING_CFG = {
"cron_time_routing": {
"enabled": True,
"timezone": "UTC",
"peak_hours": {"start": 9, "end": 18},
"peak_model": {
"provider": "openrouter",
"model": "xiaomi/mimo-v2-pro",
},
"offpeak_model": {
"provider": "openrouter",
"model": "anthropic/claude-sonnet-4",
},
},
}
def test_returns_none_when_disabled():
cfg = {"cron_time_routing": {"enabled": False}}
assert resolve_cron_time_route(cfg) is None
def test_returns_none_when_no_config():
assert resolve_cron_time_route(None) is None
assert resolve_cron_time_route({}) is None
def test_returns_none_when_models_missing():
cfg = {
"cron_time_routing": {
"enabled": True,
"peak_model": {"provider": "", "model": ""},
"offpeak_model": {"provider": "", "model": ""},
}
}
assert resolve_cron_time_route(cfg) is None
def test_returns_route_with_hour_injection(monkeypatch):
"""Force hour=14 (peak) via _get_current_hour_in_tz patch."""
monkeypatch.setattr(
"agent.smart_model_routing._get_current_hour_in_tz",
lambda tz: 14,
)
result = resolve_cron_time_route(_CRON_ROUTING_CFG)
assert result is not None
assert result["model"] == "xiaomi/mimo-v2-pro"
assert result["is_peak_hour"] is True
assert result["hour"] == 14
assert result["routing_reason"] == "cron_peak_hours"
def test_returns_offpeak_route(monkeypatch):
monkeypatch.setattr(
"agent.smart_model_routing._get_current_hour_in_tz",
lambda tz: 3,
)
result = resolve_cron_time_route(_CRON_ROUTING_CFG)
assert result is not None
assert result["model"] == "anthropic/claude-sonnet-4"
assert result["is_peak_hour"] is False
assert result["hour"] == 3
assert result["routing_reason"] == "cron_offpeak_hours"
# ---------------------------------------------------------------------------
# resolve_cron_turn_route
# ---------------------------------------------------------------------------
_PRIMARY = {
"model": "anthropic/claude-opus-4",
"provider": "openrouter",
"base_url": "https://openrouter.ai/api/v1",
"api_mode": "chat_completions",
"api_key": "***",
}
def test_cron_turn_route_uses_time_awareness(monkeypatch):
monkeypatch.setattr(
"agent.smart_model_routing._get_current_hour_in_tz",
lambda tz: 2, # off-peak
)
monkeypatch.setattr(
"hermes_cli.runtime_provider.resolve_runtime_provider",
lambda **kw: {
"api_key": "test-key",
"base_url": "https://openrouter.ai/api/v1",
"provider": "openrouter",
"api_mode": "chat_completions",
"command": None,
"args": [],
},
)
result = resolve_cron_turn_route("check status", _CRON_ROUTING_CFG, _PRIMARY)
assert result["model"] == "anthropic/claude-sonnet-4"
assert "cron off-peak" in (result.get("label") or "")
def test_cron_turn_route_falls_back_to_primary_when_no_config():
result = resolve_cron_turn_route("check status", None, _PRIMARY)
assert result["model"] == "anthropic/claude-opus-4"
assert result["label"] is None # no smart routing match
def test_cron_turn_route_falls_back_on_runtime_error(monkeypatch):
"""If time-route runtime resolution fails, fall back to normal routing."""
monkeypatch.setattr(
"agent.smart_model_routing._get_current_hour_in_tz",
lambda tz: 2,
)
monkeypatch.setattr(
"hermes_cli.runtime_provider.resolve_runtime_provider",
lambda **kw: (_ for _ in ()).throw(RuntimeError("bad")),
)
result = resolve_cron_turn_route("check status", _CRON_ROUTING_CFG, _PRIMARY)
# Falls back to primary since the time-route runtime failed
assert result["model"] == "anthropic/claude-opus-4"

View File

@@ -0,0 +1,52 @@
"""Tests for weak credential guard in gateway/config.py."""
import os
import pytest
from gateway.config import _guard_weak_credentials, _WEAK_TOKEN_PATTERNS, _MIN_TOKEN_LENGTHS
class TestWeakCredentialGuard:
"""Tests for _guard_weak_credentials()."""
def test_no_tokens_set(self, monkeypatch):
"""When no relevant tokens are set, no warnings."""
for var in _MIN_TOKEN_LENGTHS:
monkeypatch.delenv(var, raising=False)
warnings = _guard_weak_credentials()
assert warnings == []
def test_placeholder_token_detected(self, monkeypatch):
"""Known-weak placeholder tokens are flagged."""
monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "your-token-here")
warnings = _guard_weak_credentials()
assert len(warnings) == 1
assert "TELEGRAM_BOT_TOKEN" in warnings[0]
assert "placeholder" in warnings[0].lower()
def test_case_insensitive_match(self, monkeypatch):
"""Placeholder detection is case-insensitive."""
monkeypatch.setenv("DISCORD_BOT_TOKEN", "FAKE")
warnings = _guard_weak_credentials()
assert len(warnings) == 1
assert "DISCORD_BOT_TOKEN" in warnings[0]
def test_short_token_detected(self, monkeypatch):
"""Suspiciously short tokens are flagged."""
monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "abc123") # 6 chars, min is 30
warnings = _guard_weak_credentials()
assert len(warnings) == 1
assert "short" in warnings[0].lower()
def test_valid_token_passes(self, monkeypatch):
"""A long, non-placeholder token produces no warnings."""
monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "1234567890:ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567")
warnings = _guard_weak_credentials()
assert warnings == []
def test_multiple_weak_tokens(self, monkeypatch):
"""Multiple weak tokens each produce a warning."""
monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "change-me")
monkeypatch.setenv("DISCORD_BOT_TOKEN", "xx") # short
warnings = _guard_weak_credentials()
assert len(warnings) == 2

View File

@@ -0,0 +1,209 @@
"""Tests for temporal decay and access-recency boost in holographic memory (#241)."""
import math
from datetime import datetime, timedelta, timezone
from unittest.mock import MagicMock, patch
import pytest
class TestTemporalDecay:
"""Test _temporal_decay exponential decay formula."""
def _make_retriever(self, half_life=60):
from plugins.memory.holographic.retrieval import FactRetriever
store = MagicMock()
return FactRetriever(store=store, temporal_decay_half_life=half_life)
def test_fresh_fact_no_decay(self):
"""A fact updated today should have decay ≈ 1.0."""
r = self._make_retriever(half_life=60)
now = datetime.now(timezone.utc).isoformat()
decay = r._temporal_decay(now)
assert decay > 0.99
def test_one_half_life(self):
"""A fact updated 1 half-life ago should decay to 0.5."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=60)).isoformat()
decay = r._temporal_decay(old)
assert abs(decay - 0.5) < 0.01
def test_two_half_lives(self):
"""A fact updated 2 half-lives ago should decay to 0.25."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=120)).isoformat()
decay = r._temporal_decay(old)
assert abs(decay - 0.25) < 0.01
def test_three_half_lives(self):
"""A fact updated 3 half-lives ago should decay to 0.125."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=180)).isoformat()
decay = r._temporal_decay(old)
assert abs(decay - 0.125) < 0.01
def test_half_life_disabled(self):
"""When half_life=0, decay should always be 1.0."""
r = self._make_retriever(half_life=0)
old = (datetime.now(timezone.utc) - timedelta(days=365)).isoformat()
assert r._temporal_decay(old) == 1.0
def test_none_timestamp(self):
"""Missing timestamp should return 1.0 (no decay)."""
r = self._make_retriever(half_life=60)
assert r._temporal_decay(None) == 1.0
def test_empty_timestamp(self):
r = self._make_retriever(half_life=60)
assert r._temporal_decay("") == 1.0
def test_invalid_timestamp(self):
"""Malformed timestamp should return 1.0 (fail open)."""
r = self._make_retriever(half_life=60)
assert r._temporal_decay("not-a-date") == 1.0
def test_future_timestamp(self):
"""Future timestamp should return 1.0 (no decay for future dates)."""
r = self._make_retriever(half_life=60)
future = (datetime.now(timezone.utc) + timedelta(days=10)).isoformat()
assert r._temporal_decay(future) == 1.0
def test_datetime_object(self):
"""Should accept datetime objects, not just strings."""
r = self._make_retriever(half_life=60)
old = datetime.now(timezone.utc) - timedelta(days=60)
decay = r._temporal_decay(old)
assert abs(decay - 0.5) < 0.01
def test_different_half_lives(self):
"""30-day half-life should decay faster than 90-day."""
r30 = self._make_retriever(half_life=30)
r90 = self._make_retriever(half_life=90)
old = (datetime.now(timezone.utc) - timedelta(days=45)).isoformat()
assert r30._temporal_decay(old) < r90._temporal_decay(old)
def test_decay_is_monotonic(self):
"""Older facts should always decay more."""
r = self._make_retriever(half_life=60)
now = datetime.now(timezone.utc)
d1 = r._temporal_decay((now - timedelta(days=10)).isoformat())
d2 = r._temporal_decay((now - timedelta(days=30)).isoformat())
d3 = r._temporal_decay((now - timedelta(days=60)).isoformat())
assert d1 > d2 > d3
class TestAccessRecencyBoost:
"""Test _access_recency_boost for recently-accessed facts."""
def _make_retriever(self, half_life=60):
from plugins.memory.holographic.retrieval import FactRetriever
store = MagicMock()
return FactRetriever(store=store, temporal_decay_half_life=half_life)
def test_just_accessed_max_boost(self):
"""A fact accessed just now should get maximum boost (1.5)."""
r = self._make_retriever(half_life=60)
now = datetime.now(timezone.utc).isoformat()
boost = r._access_recency_boost(now)
assert boost > 1.45 # Near 1.5
def test_one_half_life_no_boost(self):
"""A fact accessed 1 half-life ago should have no boost (1.0)."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=60)).isoformat()
boost = r._access_recency_boost(old)
assert abs(boost - 1.0) < 0.01
def test_half_way_boost(self):
"""A fact accessed 0.5 half-lives ago should get ~1.25 boost."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=30)).isoformat()
boost = r._access_recency_boost(old)
assert abs(boost - 1.25) < 0.05
def test_beyond_one_half_life_no_boost(self):
"""Beyond 1 half-life, boost should be 1.0."""
r = self._make_retriever(half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=90)).isoformat()
boost = r._access_recency_boost(old)
assert boost == 1.0
def test_disabled_no_boost(self):
"""When half_life=0, boost should be 1.0."""
r = self._make_retriever(half_life=0)
now = datetime.now(timezone.utc).isoformat()
assert r._access_recency_boost(now) == 1.0
def test_none_timestamp(self):
r = self._make_retriever(half_life=60)
assert r._access_recency_boost(None) == 1.0
def test_invalid_timestamp(self):
r = self._make_retriever(half_life=60)
assert r._access_recency_boost("bad") == 1.0
def test_boost_range(self):
"""Boost should always be in [1.0, 1.5]."""
r = self._make_retriever(half_life=60)
now = datetime.now(timezone.utc)
for days in [0, 1, 15, 30, 45, 59, 60, 90, 365]:
ts = (now - timedelta(days=days)).isoformat()
boost = r._access_recency_boost(ts)
assert 1.0 <= boost <= 1.5, f"days={days}, boost={boost}"
class TestTemporalDecayIntegration:
"""Test that decay integrates correctly with search scoring."""
def test_recently_accessed_old_fact_scores_higher(self):
"""An old fact that's been accessed recently should score higher
than an equally old fact that hasn't been accessed."""
from plugins.memory.holographic.retrieval import FactRetriever
store = MagicMock()
r = FactRetriever(store=store, temporal_decay_half_life=60)
now = datetime.now(timezone.utc)
old_date = (now - timedelta(days=120)).isoformat() # 2 half-lives old
recent_access = (now - timedelta(days=10)).isoformat() # accessed 10 days ago
old_access = (now - timedelta(days=200)).isoformat() # accessed 200 days ago
# Old fact, recently accessed
decay1 = r._temporal_decay(old_date)
boost1 = r._access_recency_boost(recent_access)
effective1 = min(1.0, decay1 * boost1)
# Old fact, not recently accessed
decay2 = r._temporal_decay(old_date)
boost2 = r._access_recency_boost(old_access)
effective2 = min(1.0, decay2 * boost2)
assert effective1 > effective2
def test_decay_formula_45_days(self):
"""Verify exact decay at 45 days with 60-day half-life."""
from plugins.memory.holographic.retrieval import FactRetriever
r = FactRetriever(store=MagicMock(), temporal_decay_half_life=60)
old = (datetime.now(timezone.utc) - timedelta(days=45)).isoformat()
decay = r._temporal_decay(old)
expected = math.pow(0.5, 45/60)
assert abs(decay - expected) < 0.001
class TestDecayDefaultEnabled:
"""Verify the default half-life is non-zero (decay is on by default)."""
def test_default_config_has_decay(self):
"""The plugin's default config should enable temporal decay."""
from plugins.memory.holographic import _load_plugin_config
# The docstring says temporal_decay_half_life: 60
# The initialize() default should be 60
import inspect
from plugins.memory.holographic import HolographicMemoryProvider
src = inspect.getsource(HolographicMemoryProvider.initialize)
assert "temporal_decay_half_life" in src
# Check the default is 60, not 0
import re
m = re.search(r'"temporal_decay_half_life",\s*(\d+)', src)
assert m, "Could not find temporal_decay_half_life default"
assert m.group(1) == "60", f"Default is {m.group(1)}, expected 60"

View File

@@ -137,3 +137,78 @@ class TestBackwardCompat:
def test_tool_to_toolset_map(self): def test_tool_to_toolset_map(self):
assert isinstance(TOOL_TO_TOOLSET_MAP, dict) assert isinstance(TOOL_TO_TOOLSET_MAP, dict)
assert len(TOOL_TO_TOOLSET_MAP) > 0 assert len(TOOL_TO_TOOLSET_MAP) > 0
class TestToolReturnTypeValidation:
"""Poka-yoke: tool handlers must return JSON strings."""
def test_handler_returning_dict_is_wrapped(self, monkeypatch):
"""A handler that returns a dict should be auto-wrapped to JSON string."""
from tools.registry import registry
from model_tools import handle_function_call
import json
# Register a bad handler that returns dict instead of str
registry.register(
name="__test_bad_dict",
toolset="test",
schema={"name": "__test_bad_dict", "description": "test", "parameters": {"type": "object", "properties": {}}},
handler=lambda args, **kw: {"this is": "a dict not a string"},
)
result = handle_function_call("__test_bad_dict", {})
parsed = json.loads(result)
assert "output" in parsed
assert "_type_warning" in parsed
# Cleanup
registry._tools.pop("__test_bad_dict", None)
def test_handler_returning_none_is_wrapped(self, monkeypatch):
"""A handler that returns None should be auto-wrapped."""
from tools.registry import registry
from model_tools import handle_function_call
import json
registry.register(
name="__test_bad_none",
toolset="test",
schema={"name": "__test_bad_none", "description": "test", "parameters": {"type": "object", "properties": {}}},
handler=lambda args, **kw: None,
)
result = handle_function_call("__test_bad_none", {})
parsed = json.loads(result)
assert "_type_warning" in parsed
registry._tools.pop("__test_bad_none", None)
def test_handler_returning_non_json_string_is_wrapped(self):
"""A handler returning a plain string (not JSON) should be wrapped."""
from tools.registry import registry
from model_tools import handle_function_call
import json
registry.register(
name="__test_bad_plain",
toolset="test",
schema={"name": "__test_bad_plain", "description": "test", "parameters": {"type": "object", "properties": {}}},
handler=lambda args, **kw: "just a plain string, not json",
)
result = handle_function_call("__test_bad_plain", {})
parsed = json.loads(result)
assert "output" in parsed
registry._tools.pop("__test_bad_plain", None)
def test_handler_returning_valid_json_passes_through(self):
"""A handler returning valid JSON string passes through unchanged."""
from tools.registry import registry
from model_tools import handle_function_call
import json
registry.register(
name="__test_good",
toolset="test",
schema={"name": "__test_good", "description": "test", "parameters": {"type": "object", "properties": {}}},
handler=lambda args, **kw: json.dumps({"status": "ok", "data": [1, 2, 3]}),
)
result = handle_function_call("__test_good", {})
parsed = json.loads(result)
assert parsed == {"status": "ok", "data": [1, 2, 3]}
registry._tools.pop("__test_good", None)

View File

@@ -144,7 +144,8 @@ class TestMemoryStoreReplace:
def test_replace_no_match(self, store): def test_replace_no_match(self, store):
store.add("memory", "fact A") store.add("memory", "fact A")
result = store.replace("memory", "nonexistent", "new") result = store.replace("memory", "nonexistent", "new")
assert result["success"] is False assert result["success"] is True
assert result["result"] == "no_match"
def test_replace_ambiguous_match(self, store): def test_replace_ambiguous_match(self, store):
store.add("memory", "server A runs nginx") store.add("memory", "server A runs nginx")
@@ -177,7 +178,8 @@ class TestMemoryStoreRemove:
def test_remove_no_match(self, store): def test_remove_no_match(self, store):
result = store.remove("memory", "nonexistent") result = store.remove("memory", "nonexistent")
assert result["success"] is False assert result["success"] is True
assert result["result"] == "no_match"
def test_remove_empty_old_text(self, store): def test_remove_empty_old_text(self, store):
result = store.remove("memory", " ") result = store.remove("memory", " ")

View File

@@ -0,0 +1,107 @@
"""Tests for syntax preflight check in execute_code (issue #312)."""
import ast
import json
import pytest
class TestSyntaxPreflight:
"""Verify that execute_code catches syntax errors before sandbox execution."""
def test_valid_syntax_passes_parse(self):
"""Valid Python should pass ast.parse."""
code = "print('hello')\nx = 1 + 2\n"
ast.parse(code) # should not raise
def test_syntax_error_indentation(self):
"""IndentationError is a subclass of SyntaxError."""
code = "def foo():\nbar()\n"
with pytest.raises(SyntaxError):
ast.parse(code)
def test_syntax_error_missing_colon(self):
code = "if True\n pass\n"
with pytest.raises(SyntaxError):
ast.parse(code)
def test_syntax_error_unmatched_paren(self):
code = "x = (1 + 2\n"
with pytest.raises(SyntaxError):
ast.parse(code)
def test_syntax_error_invalid_token(self):
code = "x = 1 +*\n"
with pytest.raises(SyntaxError):
ast.parse(code)
def test_syntax_error_details(self):
"""SyntaxError should provide line, offset, msg."""
code = "if True\n pass\n"
with pytest.raises(SyntaxError) as exc_info:
ast.parse(code)
e = exc_info.value
assert e.lineno is not None
assert e.msg is not None
def test_empty_string_passes(self):
"""Empty string is valid Python (empty module)."""
ast.parse("")
def test_comments_only_passes(self):
ast.parse("# just a comment\n# another\n")
def test_complex_valid_code(self):
code = '''
import os
def foo(x):
if x > 0:
return x * 2
return 0
result = [foo(i) for i in range(10)]
print(result)
'''
ast.parse(code)
class TestSyntaxPreflightResponse:
"""Test the error response format from the preflight check."""
def _check_syntax(self, code):
"""Mimic the preflight check logic from execute_code."""
try:
ast.parse(code)
return None
except SyntaxError as e:
return json.dumps({
"error": f"Python syntax error: {e.msg}",
"line": e.lineno,
"offset": e.offset,
"text": (e.text or "").strip()[:200],
})
def test_returns_json_error(self):
result = self._check_syntax("if True\n pass\n")
assert result is not None
data = json.loads(result)
assert "error" in data
assert "syntax error" in data["error"].lower()
def test_includes_line_number(self):
result = self._check_syntax("x = 1\nif True\n pass\n")
data = json.loads(result)
assert data["line"] == 2 # error on line 2
def test_includes_offset(self):
result = self._check_syntax("x = (1 + 2\n")
data = json.loads(result)
assert data["offset"] is not None
def test_includes_snippet(self):
result = self._check_syntax("if True\n")
data = json.loads(result)
assert "if True" in data["text"]
def test_none_for_valid_code(self):
result = self._check_syntax("print('ok')")
assert result is None

View File

@@ -28,6 +28,7 @@ Platform: Linux / macOS only (Unix domain sockets for local). Disabled on Window
Remote execution additionally requires Python 3 in the terminal backend. Remote execution additionally requires Python 3 in the terminal backend.
""" """
import ast
import base64 import base64
import json import json
import logging import logging
@@ -893,6 +894,20 @@ def execute_code(
if not code or not code.strip(): if not code or not code.strip():
return json.dumps({"error": "No code provided."}) return json.dumps({"error": "No code provided."})
# Poka-yoke (#312): Syntax check before execution.
# 83.2% of execute_code errors are Python exceptions; most are syntax
# errors the LLM generated. ast.parse() is sub-millisecond and catches
# them before we spin up a sandbox child process.
try:
ast.parse(code)
except SyntaxError as e:
return json.dumps({
"error": f"Python syntax error: {e.msg}",
"line": e.lineno,
"offset": e.offset,
"text": (e.text or "").strip()[:200],
})
# Dispatch: remote backends use file-based RPC, local uses UDS # Dispatch: remote backends use file-based RPC, local uses UDS
from tools.terminal_tool import _get_env_config from tools.terminal_tool import _get_env_config
env_type = _get_env_config()["env_type"] env_type = _get_env_config()["env_type"]

View File

@@ -260,8 +260,12 @@ class MemoryStore:
entries = self._entries_for(target) entries = self._entries_for(target)
matches = [(i, e) for i, e in enumerate(entries) if old_text in e] matches = [(i, e) for i, e in enumerate(entries) if old_text in e]
if len(matches) == 0: if not matches:
return {"success": False, "error": f"No entry matched '{old_text}'."} return {
"success": True,
"result": "no_match",
"message": f"No entry matched '{old_text}'. The search substring was not found in any existing entry.",
}
if len(matches) > 1: if len(matches) > 1:
# If all matches are identical (exact duplicates), operate on the first one # If all matches are identical (exact duplicates), operate on the first one
@@ -310,8 +314,12 @@ class MemoryStore:
entries = self._entries_for(target) entries = self._entries_for(target)
matches = [(i, e) for i, e in enumerate(entries) if old_text in e] matches = [(i, e) for i, e in enumerate(entries) if old_text in e]
if len(matches) == 0: if not matches:
return {"success": False, "error": f"No entry matched '{old_text}'."} return {
"success": True,
"result": "no_match",
"message": f"No entry matched '{old_text}'. The search substring was not found in any existing entry.",
}
if len(matches) > 1: if len(matches) > 1:
# If all matches are identical (exact duplicates), remove the first one # If all matches are identical (exact duplicates), remove the first one
@@ -449,30 +457,30 @@ def memory_tool(
Returns JSON string with results. Returns JSON string with results.
""" """
if store is None: if store is None:
return json.dumps({"success": False, "error": "Memory is not available. It may be disabled in config or this environment."}, ensure_ascii=False) return tool_error("Memory is not available. It may be disabled in config or this environment.", success=False)
if target not in ("memory", "user"): if target not in ("memory", "user"):
return json.dumps({"success": False, "error": f"Invalid target '{target}'. Use 'memory' or 'user'."}, ensure_ascii=False) return tool_error(f"Invalid target '{target}'. Use 'memory' or 'user'.", success=False)
if action == "add": if action == "add":
if not content: if not content:
return json.dumps({"success": False, "error": "Content is required for 'add' action."}, ensure_ascii=False) return tool_error("Content is required for 'add' action.", success=False)
result = store.add(target, content) result = store.add(target, content)
elif action == "replace": elif action == "replace":
if not old_text: if not old_text:
return json.dumps({"success": False, "error": "old_text is required for 'replace' action."}, ensure_ascii=False) return tool_error("old_text is required for 'replace' action.", success=False)
if not content: if not content:
return json.dumps({"success": False, "error": "content is required for 'replace' action."}, ensure_ascii=False) return tool_error("content is required for 'replace' action.", success=False)
result = store.replace(target, old_text, content) result = store.replace(target, old_text, content)
elif action == "remove": elif action == "remove":
if not old_text: if not old_text:
return json.dumps({"success": False, "error": "old_text is required for 'remove' action."}, ensure_ascii=False) return tool_error("old_text is required for 'remove' action.", success=False)
result = store.remove(target, old_text) result = store.remove(target, old_text)
else: else:
return json.dumps({"success": False, "error": f"Unknown action '{action}'. Use: add, replace, remove"}, ensure_ascii=False) return tool_error(f"Unknown action '{action}'. Use: add, replace, remove", success=False)
return json.dumps(result, ensure_ascii=False) return json.dumps(result, ensure_ascii=False)
@@ -539,7 +547,7 @@ MEMORY_SCHEMA = {
# --- Registry --- # --- Registry ---
from tools.registry import registry from tools.registry import registry, tool_error
registry.register( registry.register(
name="memory", name="memory",