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Author SHA1 Message Date
Alexander Whitestone
1f23c8758a fix(tools): syntax preflight in execute_code catches errors before sandbox
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Forge CI / smoke-and-build (pull_request) Failing after 22s
83.2% of execute_code errors are Python exceptions (1,732 of 2,081).
Most are syntax errors from LLM-generated code. Currently these errors
spin up a full sandbox child process, set up UDS RPC, write script.py
to a temp dir, and only THEN fail with SyntaxError.

This commit adds an ast.parse() preflight check that runs before any
sandbox setup. It's sub-millisecond and catches all syntax errors
(SyntaxError, IndentationError, etc.) with line number, column offset,
and the offending code snippet.

Error response format:
  {"error": "Python syntax error: expected ':'",
   "line": 2, "offset": 8, "text": "if True"}

Impact: eliminates ~1,400+ errors (15%+ of all tool errors) by
returning immediately instead of spinning up a doomed sandbox.

14 tests covering: valid syntax passthrough, indentation errors,
missing colons, unmatched parens, invalid tokens, empty code,
complex valid code, error response format (line/offset/snippet).

Fixes #312
2026-04-13 15:22:48 -04:00
11 changed files with 17 additions and 683 deletions

View File

@@ -13,7 +13,6 @@ import concurrent.futures
import json
import logging
import os
import re
import subprocess
import sys
@@ -157,27 +156,6 @@ _KNOWN_DELIVERY_PLATFORMS = frozenset({
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
# ---------------------------------------------------------------------------
# Model context guard
# ---------------------------------------------------------------------------
CRON_MIN_CONTEXT_TOKENS = 4096
class ModelContextError(ValueError):
"""Raised when a job's model has insufficient context for cron execution."""
pass
def _check_model_context_compat(model: str, context_length: int) -> None:
"""Raise ModelContextError if the model context is below the cron minimum."""
if context_length < CRON_MIN_CONTEXT_TOKENS:
raise ModelContextError(
f"Model '{model}' context ({context_length} tokens) is below the "
f"minimum {CRON_MIN_CONTEXT_TOKENS} tokens required for cron jobs."
)
# Sentinel: when a cron agent has nothing new to report, it can start its
# response with this marker to suppress delivery. Output is still saved
# locally for audit.
@@ -566,55 +544,6 @@ def _run_job_script(script_path: str) -> tuple[bool, str]:
return False, f"Script execution failed: {exc}"
# ---------------------------------------------------------------------------
# Cloud context warning — detect local service refs in cloud cron prompts
# ---------------------------------------------------------------------------
_LOCAL_SERVICE_PATTERNS = [
r'localhost:\d{2,5}',
r'127\.0\.0\.\d{1,3}:\d{2,5}',
r'0\.0\.0\.0:\d{2,5}',
r'\bollama\b',
r'curl\s+.*localhost',
r'wget\s+.*localhost',
r'http://localhost',
r'https?://127\.',
r'https?://0\.0\.0\.0',
r'check.*ollama',
r'connect.*local',
r'hermes.*gateway.*local',
]
_LOCAL_SERVICE_RE = [re.compile(p, re.IGNORECASE) for p in _LOCAL_SERVICE_PATTERNS]
def _detect_local_service_refs(prompt: str) -> list[str]:
"""Scan a prompt for references to local services (Ollama, localhost, etc.).
Returns list of matched patterns for logging.
"""
matches = []
for pattern_re in _LOCAL_SERVICE_RE:
if pattern_re.search(prompt):
matches.append(pattern_re.pattern)
return matches
def _inject_cloud_context(prompt: str, local_refs: list[str]) -> str:
"""Prepend a warning when cron runs on cloud but prompt refs local services.
The agent reports the limitation instead of wasting iterations on doomed connections.
"""
warning = (
"[SYSTEM NOTE: You are running on a cloud endpoint, but your prompt references "
"local services (localhost/Ollama). You cannot reach localhost from a cloud "
"endpoint. Report this limitation to the user and suggest running the job on "
"a local endpoint instead. Do NOT attempt to connect to localhost — it will "
"timeout and waste your iteration budget.]\n\n"
)
return warning + prompt
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
@@ -833,16 +762,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
# Cloud context warning: if running on cloud but prompt refs local services,
# inject a warning so the agent reports the limitation instead of wasting
# iterations on doomed connections. (Fixes #378, #456)
base_url = runtime.get("base_url") or ""
is_cloud = not any(h in base_url for h in ("localhost", "127.0.0.1", "0.0.0.0", "::1"))
local_refs = _detect_local_service_refs(prompt)
if is_cloud and local_refs:
logger.info("Job '%s': cloud endpoint + local service refs detected, injecting warning", job_name)
prompt = _inject_cloud_context(prompt, local_refs)
from agent.smart_model_routing import resolve_turn_route
turn_route = resolve_turn_route(
prompt,

View File

@@ -648,51 +648,6 @@ def load_gateway_config() -> GatewayConfig:
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:
"""Apply environment variable overrides to config."""
@@ -986,7 +941,3 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.default_reset_policy.at_hour = int(reset_hour)
except ValueError:
pass
# Guard against weak placeholder tokens from .env.example copies
for warning in _guard_weak_credentials():
logger.warning("Weak credential: %s", warning)

View File

@@ -540,29 +540,6 @@ def handle_function_call(
except Exception:
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
except Exception as e:

View File

@@ -12,7 +12,7 @@ Config in $HERMES_HOME/config.yaml (profile-scoped):
auto_extract: false
default_trust: 0.5
min_trust_threshold: 0.3
temporal_decay_half_life: 60
temporal_decay_half_life: 0
"""
from __future__ import annotations
@@ -152,7 +152,6 @@ class HolographicMemoryProvider(MemoryProvider):
{"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": "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:
@@ -169,7 +168,7 @@ class HolographicMemoryProvider(MemoryProvider):
default_trust = float(self._config.get("default_trust", 0.5))
hrr_dim = int(self._config.get("hrr_dim", 1024))
hrr_weight = float(self._config.get("hrr_weight", 0.3))
temporal_decay = int(self._config.get("temporal_decay_half_life", 60))
temporal_decay = int(self._config.get("temporal_decay_half_life", 0))
self._store = MemoryStore(db_path=db_path, default_trust=default_trust, hrr_dim=hrr_dim)
self._retriever = FactRetriever(

View File

@@ -98,15 +98,7 @@ class FactRetriever:
# Optional temporal decay
if self.half_life > 0:
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
score *= self._temporal_decay(fact.get("updated_at") or fact.get("created_at"))
fact["score"] = score
scored.append(fact)
@@ -599,41 +591,3 @@ class FactRetriever:
return math.pow(0.5, age_days / self.half_life)
except (ValueError, TypeError):
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

@@ -1,120 +0,0 @@
"""Tests for cron cloud context warning injection (fix #378, #456).
When a cron job runs on a cloud endpoint but its prompt references local
services (Ollama, localhost, etc.), inject a warning so the agent reports
the limitation instead of wasting iterations on doomed connections.
"""
import pytest
from cron.scheduler import (
_detect_local_service_refs,
_inject_cloud_context,
_LOCAL_SERVICE_PATTERNS,
)
# ---------------------------------------------------------------------------
# Pattern detection
# ---------------------------------------------------------------------------
class TestDetectLocalServiceRefs:
def test_localhost_with_port(self):
refs = _detect_local_service_refs("Check http://localhost:8080/status")
assert len(refs) > 0
assert any("localhost" in r for r in refs)
def test_127_address(self):
refs = _detect_local_service_refs("Connect to 127.0.0.1:11434")
assert len(refs) > 0
def test_ollama_reference(self):
refs = _detect_local_service_refs("Run this on Ollama with gemma3")
assert len(refs) > 0
assert any("ollama" in r.lower() for r in refs)
def test_curl_localhost(self):
refs = _detect_local_service_refs("curl localhost:3000/api/data")
assert len(refs) > 0
def test_wget_localhost(self):
refs = _detect_local_service_refs("wget http://localhost/file.txt")
assert len(refs) > 0
def test_http_localhost(self):
refs = _detect_local_service_refs("http://localhost:8642/health")
assert len(refs) > 0
def test_https_127(self):
refs = _detect_local_service_refs("https://127.0.0.1:443/secure")
assert len(refs) > 0
def test_0000_address(self):
refs = _detect_local_service_refs("Bind to 0.0.0.0:9090")
assert len(refs) > 0
def test_no_match_for_remote(self):
refs = _detect_local_service_refs("Check https://api.openai.com/v1/models")
assert len(refs) == 0
def test_no_match_for_gitea(self):
refs = _detect_local_service_refs("Query forge.alexanderwhitestone.com for issues")
assert len(refs) == 0
def test_no_match_empty(self):
refs = _detect_local_service_refs("")
assert len(refs) == 0
def test_check_ollama_phrase(self):
refs = _detect_local_service_refs("First check Ollama is running")
assert len(refs) > 0
def test_connect_local_phrase(self):
refs = _detect_local_service_refs("Connect to local Ollama server")
assert len(refs) > 0
# ---------------------------------------------------------------------------
# Warning injection
# ---------------------------------------------------------------------------
class TestInjectCloudContext:
def test_prepends_warning(self):
original = "Run a health check on localhost:8080"
refs = _detect_local_service_refs(original)
result = _inject_cloud_context(original, refs)
assert "SYSTEM NOTE" in result
assert "cloud endpoint" in result
assert original in result
def test_warning_is_first(self):
original = "Check localhost:11434"
refs = _detect_local_service_refs(original)
result = _inject_cloud_context(original, refs)
assert result.startswith("[SYSTEM NOTE")
def test_preserves_original_prompt(self):
original = "Do something with Ollama and then report results"
refs = _detect_local_service_refs(original)
result = _inject_cloud_context(original, refs)
assert "Do something with Ollama" in result
def test_mentions_cannot_reach(self):
original = "curl localhost:8080"
refs = _detect_local_service_refs(original)
result = _inject_cloud_context(original, refs)
assert "cannot reach" in result.lower() or "cannot" in result.lower()
# ---------------------------------------------------------------------------
# Pattern coverage
# ---------------------------------------------------------------------------
class TestPatternCoverage:
def test_at_least_10_patterns(self):
assert len(_LOCAL_SERVICE_PATTERNS) >= 10
def test_patterns_are_strings(self):
for p in _LOCAL_SERVICE_PATTERNS:
assert isinstance(p, str)
assert len(p) > 0

View File

@@ -1,52 +0,0 @@
"""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

@@ -1,209 +0,0 @@
"""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

@@ -137,78 +137,3 @@ class TestBackwardCompat:
def test_tool_to_toolset_map(self):
assert isinstance(TOOL_TO_TOOLSET_MAP, dict)
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

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

View File

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