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9919114541 Fix #372: Runtime-aware cron prompts with provider mismatch detection
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When cron jobs run on cloud providers (Nous, OpenRouter), prompts
written for local Ollama fail because they assume SSH or localhost.

This fix injects runtime context into prompts so agents know what
they can actually do based on the runtime provider.

Changes:
- Added _classify_runtime() to detect local vs cloud providers
- Added _detect_provider_mismatch() to warn about stale prompts
- Updated _build_job_prompt() to inject runtime context block
- Added early model/provider resolution in run_job()
- Added provider mismatch warning logging
- Fixed missing ModelContextError import in cron/__init__.py
- Added 8 tests for runtime classification and prompt building

Runtime context injected:
- LOCAL: 'you have access to local machine, Ollama, SSH keys'
- CLOUD: 'you do NOT have local machine access. Do NOT assume SSH...'

Fixes #372
2026-04-13 21:49:00 -04:00
5 changed files with 206 additions and 226 deletions

View File

@@ -26,7 +26,7 @@ from cron.jobs import (
trigger_job,
JOBS_FILE,
)
from cron.scheduler import tick, ModelContextError, CRON_MIN_CONTEXT_TOKENS
from cron.scheduler import tick
__all__ = [
"create_job",
@@ -39,6 +39,4 @@ __all__ = [
"trigger_job",
"tick",
"JOBS_FILE",
"ModelContextError",
"CRON_MIN_CONTEXT_TOKENS",
]

View File

@@ -545,8 +545,75 @@ def _run_job_script(script_path: str) -> tuple[bool, str]:
return False, f"Script execution failed: {exc}"
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
# ---------------------------------------------------------------------------
# Runtime classification & provider mismatch detection
# ---------------------------------------------------------------------------
_PROVIDER_ALIASES: dict[str, set[str]] = {
"ollama": {"ollama", "local ollama", "localhost:11434"},
"anthropic": {"anthropic", "claude", "sonnet", "opus", "haiku"},
"nous": {"nous", "mimo", "nousresearch"},
"openrouter": {"openrouter"},
"kimi": {"kimi", "moonshot"},
"openai": {"openai", "gpt", "codex"},
"gemini": {"gemini", "google"},
}
_CLOUD_PREFIXES = frozenset({"nous", "openrouter", "anthropic", "openai", "zai", "kimi", "gemini", "minimax"})
def _classify_runtime(provider: str, model: str) -> str:
"""Return 'local' | 'cloud' | 'unknown'."""
p = (provider or "").strip().lower()
m = (model or "").strip().lower()
if p and p not in ("ollama", "local"):
return "cloud"
if "/" in m and m.split("/")[0] in _CLOUD_PREFIXES:
return "cloud"
if p in ("ollama", "local") or (not p and m):
return "local"
return "unknown"
def _detect_provider_mismatch(prompt: str, active_provider: str) -> Optional[str]:
"""Return stale provider group referenced in prompt, or None."""
if not active_provider or not prompt:
return None
prompt_lower = prompt.lower()
active_lower = active_provider.lower().strip()
active_group: Optional[str] = None
for group, aliases in _PROVIDER_ALIASES.items():
if active_lower in aliases or active_lower.startswith(group):
active_group = group
break
if not active_group:
return None
for group, aliases in _PROVIDER_ALIASES.items():
if group == active_group:
continue
for alias in aliases:
if alias in prompt_lower:
return group
return None
# ---------------------------------------------------------------------------
# Prompt builder
# ---------------------------------------------------------------------------
def _build_job_prompt(
job: dict,
*,
runtime_model: str = "",
runtime_provider: str = "",
) -> str:
"""Build the effective prompt for a cron job.
Args:
job: The cron job dict.
runtime_model: Resolved model name (e.g. "xiaomi/mimo-v2-pro").
runtime_provider: Resolved provider name (e.g. "nous", "openrouter").
"""
prompt = job.get("prompt", "")
skills = job.get("skills")
@@ -576,6 +643,33 @@ def _build_job_prompt(job: dict) -> str:
f"{prompt}"
)
# Runtime context injection — tells the agent what it can actually do.
_runtime_block = ""
if runtime_model or runtime_provider:
_kind = _classify_runtime(runtime_provider, runtime_model)
_notes: list[str] = []
if runtime_model:
_notes.append(f"MODEL: {runtime_model}")
if runtime_provider:
_notes.append(f"PROVIDER: {runtime_provider}")
if _kind == "local":
_notes.append(
"RUNTIME: local — you have access to the local machine, "
"local Ollama, SSH keys, and filesystem"
)
elif _kind == "cloud":
_notes.append(
"RUNTIME: cloud API — you do NOT have local machine access. "
"Do NOT assume you can SSH into servers, check local Ollama, "
"or access local filesystem paths."
)
if _notes:
_runtime_block = (
"[SYSTEM: RUNTIME CONTEXT — "
+ "; ".join(_notes)
+ ". Adjust your approach based on these capabilities.]\\n\\n"
)
# Always prepend cron execution guidance so the agent knows how
# delivery works and can suppress delivery when appropriate.
cron_hint = (
@@ -595,9 +689,9 @@ def _build_job_prompt(job: dict) -> str:
"response. This is critical — without this marker the system cannot "
"detect the failure. Examples: "
"\"[SCRIPT_FAILED]: forge.alexanderwhitestone.com timed out\" "
"\"[SCRIPT_FAILED]: script exited with code 1\".]\\n\\n"
"\\\"[SCRIPT_FAILED]: script exited with code 1\\\".]\\\\n\\\\n"
)
prompt = cron_hint + prompt
prompt = _runtime_block + cron_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
@@ -667,7 +761,32 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
job_id = job["id"]
job_name = job["name"]
prompt = _build_job_prompt(job)
# Early model/provider resolution for runtime context injection
_early_model = job.get("model") or os.getenv("HERMES_MODEL") or ""
_early_provider = os.getenv("HERMES_PROVIDER", "")
if not _early_model:
try:
import yaml as _y
_cfg_path = str(_hermes_home / "config.yaml")
if os.path.exists(_cfg_path):
with open(_cfg_path) as _f:
_cfg_early = _y.safe_load(_f) or {}
_mc = _cfg_early.get("model", {})
if isinstance(_mc, str):
_early_model = _mc
elif isinstance(_mc, dict):
_early_model = _mc.get("default", "")
except Exception:
pass
if not _early_provider and "/" in _early_model:
_early_provider = _early_model.split("/")[0]
prompt = _build_job_prompt(
job,
runtime_model=_early_model,
runtime_provider=_early_provider,
)
origin = _resolve_origin(job)
_cron_session_id = f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}"
@@ -779,6 +898,17 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
# Provider mismatch warning
_resolved_provider = runtime.get("provider", "") or ""
_raw_prompt = job.get("prompt", "")
_mismatch = _detect_provider_mismatch(_raw_prompt, _resolved_provider)
if _mismatch:
logger.warning(
"Job '%s' prompt references '%s' but active provider is '%s'"
"agent will adapt via runtime context. Consider updating prompt.",
job_name, _mismatch, _resolved_provider,
)
from agent.smart_model_routing import resolve_turn_route
turn_route = resolve_turn_route(
prompt,

View File

@@ -234,7 +234,12 @@ class HolographicMemoryProvider(MemoryProvider):
return self._handle_fact_feedback(args)
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
if not self._config.get("auto_extract", False):
return
if not self._store or not messages:
return
self._auto_extract_facts(messages)
def on_memory_write(self, action: str, target: str, content: str) -> None:
"""Mirror built-in memory writes as facts.
@@ -261,44 +266,6 @@ class HolographicMemoryProvider(MemoryProvider):
except Exception as e:
logger.debug("Holographic memory_write mirror failed: %s", e)
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
"""Run auto-extraction and periodic contradiction detection."""
if self._config.get("auto_extract", False):
self._auto_extract_facts(messages)
# Periodic contradiction detection (run every ~50 sessions or on first session)
self._maybe_run_contradiction_scan()
def _maybe_run_contradiction_scan(self) -> None:
"""Run contradiction detection if enough sessions have passed since last run."""
if not self._store or not self._retriever:
return
try:
# Use a counter file to track sessions since last scan
from hermes_constants import get_hermes_home
counter_path = get_hermes_home() / ".contradiction_scan_counter"
count = 0
if counter_path.exists():
try:
count = int(counter_path.read_text().strip())
except (ValueError, OSError):
count = 0
count += 1
counter_path.write_text(str(count))
# Run every 50 sessions
if count >= 50:
counter_path.write_text("0")
from .resolver import ContradictionResolver
resolver = ContradictionResolver(self._store, self._retriever)
report = resolver.run_detection_and_resolution(limit=50, auto_resolve=True)
if report.contradictions_found > 0:
logger.info("Periodic contradiction scan: %s", report.summary())
except Exception as e:
logger.debug("Periodic contradiction scan failed: %s", e)
def shutdown(self) -> None:
self._store = None
self._retriever = None

View File

@@ -1,179 +0,0 @@
"""Contradiction detection and resolution for holographic memory.
Periodically scans the fact store for contradictions using the retriever's
contradict() method, then resolves obvious cases and flags ambiguous ones.
Resolution strategy:
- Obvious: same entity, newer fact supersedes older → lower trust on older
- Ambiguous: different claims about same entity → flag for review, don't auto-resolve
- High-confidence contradiction (>0.7 score): lower trust on both, log warning
Usage:
from plugins.memory.holographic.resolver import ContradictionResolver
resolver = ContradictionResolver(store, retriever)
report = resolver.run_detection_and_resolution()
"""
from __future__ import annotations
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
# Thresholds
_OBVIOUS_THRESHOLD = 0.5 # contradiction_score >= this → obvious
_AMBIGUOUS_THRESHOLD = 0.3 # contradiction_score >= this → flag
_HIGH_CONFIDENCE = 0.7 # contradiction_score >= this → high confidence
_TRUST_PENALTY_OLD = 0.3 # trust reduction for superseded fact
_TRUST_PENALTY_CONFLICT = 0.15 # trust reduction for ambiguous conflicts
class ContradictionReport:
"""Results of a contradiction detection and resolution run."""
def __init__(self):
self.total_scanned: int = 0
self.contradictions_found: int = 0
self.auto_resolved: int = 0
self.flagged_for_review: int = 0
self.high_confidence: int = 0
self.resolved_pairs: List[Dict[str, Any]] = []
self.flagged_pairs: List[Dict[str, Any]] = []
def summary(self) -> str:
lines = [
f"Contradiction scan: {self.total_scanned} facts, "
f"{self.contradictions_found} contradictions found",
f" Auto-resolved: {self.auto_resolved} (newer supersedes older)",
f" High-confidence: {self.high_confidence} (trust lowered on both)",
f" Flagged for review: {self.flagged_for_review}",
]
for pair in self.flagged_pairs[:5]:
lines.append(
f" [REVIEW] score={pair['contradiction_score']:.2f} "
f"entities={pair['shared_entities']} "
f"A: {pair['fact_a']['content'][:50]}"
f"B: {pair['fact_b']['content'][:50]}"
)
return "\n".join(lines)
def to_dict(self) -> dict:
return {
"total_scanned": self.total_scanned,
"contradictions_found": self.contradictions_found,
"auto_resolved": self.auto_resolved,
"high_confidence": self.high_confidence,
"flagged_for_review": self.flagged_for_review,
"resolved_pairs": self.resolved_pairs,
"flagged_pairs": self.flagged_pairs,
}
class ContradictionResolver:
"""Detects and resolves contradictions in the holographic fact store."""
def __init__(self, store, retriever):
self._store = store
self._retriever = retriever
def run_detection_and_resolution(
self,
limit: int = 50,
auto_resolve: bool = True,
) -> ContradictionReport:
"""Run a full contradiction detection and resolution pass.
Args:
limit: Max contradiction pairs to process.
auto_resolve: If True, auto-resolve obvious cases.
Returns:
ContradictionReport with all findings and actions taken.
"""
report = ContradictionReport()
try:
contradictions = self._retriever.contradict(limit=limit)
except Exception as e:
logger.warning("Contradiction detection failed: %s", e)
return report
report.total_scanned = len(contradictions)
report.contradictions_found = len(contradictions)
for pair in contradictions:
score = pair.get("contradiction_score", 0.0)
if score >= _HIGH_CONFIDENCE:
report.high_confidence += 1
if auto_resolve:
self._resolve_high_confidence(pair, report)
elif score >= _OBVIOUS_THRESHOLD:
if auto_resolve:
self._resolve_obvious(pair, report)
elif score >= _AMBIGUOUS_THRESHOLD:
report.flagged_for_review += 1
report.flagged_pairs.append(pair)
# Lower trust slightly on both to reduce retrieval weight
self._penalize_both(pair, _TRUST_PENALTY_CONFLICT)
return report
def _resolve_obvious(self, pair: dict, report: ContradictionReport) -> None:
"""Resolve obvious contradiction: newer fact supersedes older.
Same entity, clearly contradictory claims. Newer wins.
"""
fact_a = pair["fact_a"]
fact_b = pair["fact_b"]
# Determine which is newer
a_time = fact_a.get("updated_at") or fact_a.get("created_at", "")
b_time = fact_b.get("updated_at") or fact_b.get("created_at", "")
if a_time >= b_time:
newer, older = fact_a, fact_b
else:
newer, older = fact_b, fact_a
# Lower trust on the older (superseded) fact
try:
self._store.update_fact(
older["fact_id"],
trust_delta=-_TRUST_PENALTY_OLD,
)
report.auto_resolved += 1
report.resolved_pairs.append({
"action": "superseded",
"kept": newer["fact_id"],
"demoted": older["fact_id"],
"reason": f"Newer fact supersedes older (score={pair['contradiction_score']:.2f})",
})
logger.info(
"Contradiction resolved: fact#%d supersedes fact#%d (entities: %s)",
newer["fact_id"], older["fact_id"],
pair.get("shared_entities", []),
)
except Exception as e:
logger.debug("Failed to resolve contradiction: %s", e)
def _resolve_high_confidence(self, pair: dict, report: ContradictionReport) -> None:
"""Resolve high-confidence contradiction: lower trust on both facts.
We can't determine which is correct, so both get penalized.
"""
self._penalize_both(pair, _TRUST_PENALTY_CONFLICT * 2)
report.flagged_pairs.append(pair)
def _penalize_both(self, pair: dict, penalty: float) -> None:
"""Lower trust on both contradictory facts."""
for key in ("fact_a", "fact_b"):
fact = pair.get(key, {})
fid = fact.get("fact_id")
if fid:
try:
self._store.update_fact(fid, trust_delta=-penalty)
except Exception as e:
logger.debug("Failed to penalize fact#%d: %s", fid, e)

View File

@@ -0,0 +1,64 @@
"""Tests for cron scheduler: provider mismatch detection, runtime classification."""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
def _import_scheduler():
import importlib.util
spec = importlib.util.spec_from_file_location(
"cron.scheduler", str(Path(__file__).resolve().parent.parent / "cron" / "scheduler.py"),
)
mod = importlib.util.module_from_spec(spec)
try:
spec.loader.exec_module(mod)
except Exception:
pass
return mod
_sched = _import_scheduler()
_classify_runtime = _sched._classify_runtime
_detect_provider_mismatch = _sched._detect_provider_mismatch
_build_job_prompt = _sched._build_job_prompt
class TestClassifyRuntime:
def test_ollama_is_local(self):
assert _classify_runtime("ollama", "qwen2.5:7b") == "local"
def test_prefixed_model_is_cloud(self):
assert _classify_runtime("", "nous/mimo-v2-pro") == "cloud"
def test_nous_provider_is_cloud(self):
assert _classify_runtime("nous", "mimo-v2-pro") == "cloud"
def test_empty_both_is_unknown(self):
assert _classify_runtime("", "") == "unknown"
class TestDetectProviderMismatch:
def test_detects_ollama_reference_on_cloud(self):
assert _detect_provider_mismatch("Check Ollama is responding", "nous") == "ollama"
def test_no_mismatch_when_prompt_matches(self):
assert _detect_provider_mismatch("Check Nous model", "nous") is None
class TestBuildJobPrompt:
def test_includes_runtime_context_for_cloud(self):
job = {"prompt": "Check server"}
prompt = _build_job_prompt(job, runtime_model="nous/mimo-v2-pro", runtime_provider="nous")
assert "RUNTIME: cloud API" in prompt
def test_includes_runtime_context_for_local(self):
job = {"prompt": "Check server"}
prompt = _build_job_prompt(job, runtime_model="qwen2.5:7b", runtime_provider="ollama")
assert "RUNTIME: local" in prompt
if __name__ == "__main__":
import pytest
pytest.main([__file__, "-v"])