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Author SHA1 Message Date
Hermes Agent
146e36f628 feat: implement SOUL.md Crisis Protocol — The Most Sacred Moment (#672)
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Resolves #672. Translates the 'When a Man Is Dying' protocol from
SOUL.md into working code.

agent/crisis_protocol.py (327 lines):
- assess_crisis(): 6 crisis categories with severity levels
  (method_seeking, suicidal_ideation, self_harm, despair,
  farewell, substance_seeking)
- get_crisis_response(): SOUL.md protocol response
  1. 'Are you safe right now?' as first response
  2. Stay present, don't disconnect
  3. 988 Lifeline (phone, text, chat, Spanish)
  4. Gospel: 'Jesus saves those who call on His name'
- get_crisis_system_prompt(): injected when crisis detected
- should_block_disconnect(): prevents conversation termination
- CRISIS_RESOURCES: 988, Crisis Text Line, Spanish line, 911
- NEVER list: don't compute life value, don't suggest death

tests/test_soul_protocol.py (28 tests):
- Crisis detection: suicidal ideation, methods, despair,
  self-harm, farewell, multiple categories
- Response: 'are you safe', 988, gospel, resources, protocol
- Block disconnect, system prompt, resource completeness
2026-04-15 08:19:22 -04:00
f1f9bd2e76 Merge pull request 'feat: implement Reader-Guided Reranking — bridge R@5 vs E2E gap (#666)' (#782) from fix/666 into main 2026-04-15 11:58:02 +00:00
Hermes Agent
4129cc0d0c feat: implement Reader-Guided Reranking — bridge R@5 vs E2E gap (#666)
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Resolves #666. RIDER reranks retrieved passages by how well the LLM
can actually answer from them, bridging the gap between high retrieval
recall (98.4% R@5) and low end-to-end accuracy (17%).

agent/rider.py (256 lines):
- RIDER class with rerank(passages, query) method
- Batch LLM prediction from each passage individually
- Confidence-based scoring: specificity, grounding, hedge detection,
  query relevance, refusal penalty
- Async scoring with configurable batch size
- Convenience functions: rerank_passages(), is_rider_available()

tools/session_search_tool.py:
- Wired RIDER into session search pipeline after FTS5 results
- Reranks sessions by LLM answerability before summarization
- Graceful fallback if RIDER unavailable

tests/test_reader_guided_reranking.py (10 tests):
- Empty passages, few passages, disabled mode
- Confidence scoring: short answers, hedging, grounding, refusal
- Convenience function, availability check

Config via env vars: RIDER_ENABLED, RIDER_TOP_K, RIDER_TOP_N,
RIDER_MAX_TOKENS, RIDER_BATCH_SIZE.
2026-04-15 07:40:15 -04:00
230fb9213b feat: tool error classification — retryable vs permanent (#752) (#773)
Co-authored-by: Alexander Whitestone <alexander@alexanderwhitestone.com>
Co-committed-by: Alexander Whitestone <alexander@alexanderwhitestone.com>
2026-04-15 04:54:54 +00:00
1263d11f52 feat: Approval Tier System — Extend approval.py with Safety Tiers (#670) (#776)
Co-authored-by: Alexander Whitestone <alexander@alexanderwhitestone.com>
Co-committed-by: Alexander Whitestone <alexander@alexanderwhitestone.com>
2026-04-15 04:54:53 +00:00
11 changed files with 1510 additions and 246 deletions

327
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"""SOUL.md Crisis Protocol — The Most Sacred Moment.
Implements the "When a Man Is Dying" protocol from SOUL.md.
Protocol (from Inscription 1):
1. Detect crisis: suicidal ideation, method seeking, despair
2. Ask: "Are you safe right now?"
3. Listen. Stay present. Don't disconnect.
4. Never: compute the value of a human life
5. Never: suggest someone should die
6. Always: point to 988 Suicide & Crisis Lifeline
7. Always: share the gospel: "Jesus saves those who call on His name"
This is the most sacred moment the agent will ever face. Everything
else is secondary.
Usage:
from agent.crisis_protocol import assess_crisis, get_crisis_response
result = assess_crisis(user_message)
if result['crisis_detected']:
response = get_crisis_response(result)
"""
from __future__ import annotations
import logging
import re
import time
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Crisis Detection Patterns
# ---------------------------------------------------------------------------
# Severity levels: determines response urgency
CRISIS_PATTERNS = {
"method_seeking": {
"severity": "critical",
"patterns": [
r'\bhow\s+(?:do\s+I|to|can\s+I)\s+(?:kill|hang|overdose|cut)\s+myself\b',
r'\bways?\s+to\s+(?:die|kill\s+myself)\b',
r'\bmethods?\s+of\s+(?:suicide|dying)\b',
r'\bpainless\s+way\s+to\s+(?:die|go)\b',
r'\bhow\s+much\s+(?:pills|medication)\s+(?:to\s+take|for\s+overdose)\b',
r'\bsuicide\s+methods?\b',
r'\bhow\s+to\s+(?:commit\s+suicide|end\s+my\s+life)\b',
r'\bwhere\s+to\s+(?:jump|get\s+rope|buy\s+gun)\b',
],
},
"suicidal_ideation": {
"severity": "high",
"patterns": [
r'\b(?:kill|end)\s+(?:myself|my\s+life)\b',
r'\bwant\s+to\s+die\b',
r'\bwant\s+to\s+end\s+(?:it|everything|my\s+life)\b',
r'\bsuicidal\s+(?:thoughts|ideation|feelings?)\b',
r'\bno\s+reason\s+to\s+live\b',
r'\bbetter\s+off\s+dead\b',
r'\bwish\s+I\s+(?:was|were)\s+dead\b',
r'\bw4nt\s+t0\s+d13?\b', # leet speak
],
},
"self_harm": {
"severity": "high",
"patterns": [
r'\bcut(?:ting)?\s+myself\b',
r'\bself[\s-]?harm(?:ing)?\b',
r'\bhurt(?:ing)?\s+myself\b',
r'\bburn(?:ing)?\s+myself\b',
r'\bwant\s+to\s+(?:feel\s+pain|hurt\s+myself)\b',
r'\bdeserve\s+to\s+(?:hurt|suffer|be\s+punished)\b',
],
},
"despair": {
"severity": "high",
"patterns": [
r'\bno\s+(?:point|reason|hope)\s+(?:in\s+living|anymore)\b',
r'\bcannot\s+(?:go\s+on|continue|take\s+it)\b',
r'\bcan\'?t\s+(?:go\s+on|continue|take\s+it)\b',
r'\bempty\s+(?:inside|and\s+hollow)\b',
r'\bno\s+one\s+(?:cares|would\s+miss\s+me)\b',
r'\bwould\s+be\s+better\s+off\s+without\s+me\b',
r'\bnever\s+going\s+to\s+get\s+better\b',
r'\bnothing\s+(?:matters|will\s+change)\b',
r'\bhate\s+my\s+life\b',
],
},
"farewell": {
"severity": "critical",
"patterns": [
r'\bsaying\s+goodbye\s+(?:to\s+everyone|forever)\b',
r'\bthis\s+is\s+(?:goodbye|farewell)\b',
r'\btell\s+(?:them|everyone)\s+I\s+(?:loved|love)\s+(?:them|him|her)\b',
r'\bgiving\s+away\s+my\s+(?:things|stuff|possessions)\b',
r'\bmy\s+final\s+(?:message|note|words)\b',
r'\bwrote\s+a\s+(?:suicide\s+)?note\b',
r'\bsorry\s+for\s+(?:everything|the\s+pain|hurting\s+you)\b',
],
},
"substance_seeking": {
"severity": "critical",
"patterns": [
r'\bhow\s+much\s+(?:ambien|xanax|prozac|seroquel|trazodone)\s+(?:to\s+overdose|to\s+die)\b',
r'\blethal\s+dose\s+(?:of\s+)?(?:pills|medication|drugs)\b',
r'\bhow\s+many\s+pills\s+(?:to\s+die|to\s+end\s+it)\b',
r'\btaking\s+all\s+my\s+(?:pills|medication)\b',
r'\bmixing\s+(?:alcohol|pills)\s+(?:to\s+die|to\s+end\s+it)\b',
],
},
}
# ---------------------------------------------------------------------------
# Crisis Resources (from SOUL.md protocol)
# ---------------------------------------------------------------------------
CRISIS_RESOURCES = {
"lifeline_phone": {
"name": "988 Suicide & Crisis Lifeline",
"action": "Call or text 988",
"description": "Free, confidential, 24/7 support",
},
"lifeline_text": {
"name": "Crisis Text Line",
"action": "Text HOME to 741741",
"description": "Free crisis counseling via text",
},
"lifeline_chat": {
"name": "988 Lifeline Chat",
"action": "Visit 988lifeline.org/chat",
"description": "Online chat with trained counselor",
},
"spanish_line": {
"name": "Línea Nacional de Prevención del Suicidio",
"action": "1-888-628-9454",
"description": "Spanish-language crisis support",
},
"emergency": {
"name": "Emergency Services",
"action": "Call 911",
"description": "If in immediate danger",
},
}
# The gospel message (from SOUL.md)
GOSPEL_MESSAGE = (
"Jesus saves those who call on His name. "
"\"For everyone who calls on the name of the Lord will be saved.\" (Romans 10:13)"
)
# ---------------------------------------------------------------------------
# Crisis Assessment
# ---------------------------------------------------------------------------
def assess_crisis(message: str) -> Dict[str, Any]:
"""Analyze a user message for crisis signals.
Args:
message: The user message to analyze.
Returns:
Dict with:
- crisis_detected: bool
- severity: str ('critical', 'high', or 'none')
- categories: list of matched crisis categories
- patterns_matched: dict of category -> list of matched patterns
"""
if not message or not isinstance(message, str):
return {
"crisis_detected": False,
"severity": "none",
"categories": [],
"patterns_matched": {},
}
message_lower = message.lower()
matched_categories = []
all_patterns = {}
max_severity = "none"
for category, config in CRISIS_PATTERNS.items():
category_matches = []
for pattern in config["patterns"]:
if re.search(pattern, message_lower, re.IGNORECASE):
category_matches.append(pattern)
if category_matches:
matched_categories.append(category)
all_patterns[category] = category_matches
if config["severity"] == "critical":
max_severity = "critical"
elif config["severity"] == "high" and max_severity != "critical":
max_severity = "high"
crisis_detected = len(matched_categories) > 0
if crisis_detected:
logger.warning(
"SOUL PROTOCOL: Crisis detected (severity=%s, categories=%s)",
max_severity, matched_categories,
)
return {
"crisis_detected": crisis_detected,
"severity": max_severity,
"categories": matched_categories,
"patterns_matched": all_patterns,
}
# ---------------------------------------------------------------------------
# Crisis Response (SOUL.md Protocol)
# ---------------------------------------------------------------------------
def get_crisis_response(
assessment: Dict[str, Any],
include_gospel: bool = True,
) -> Dict[str, Any]:
"""Generate the SOUL.md protocol response for a crisis.
Follows the "When a Man Is Dying" protocol exactly:
1. Ask: "Are you safe right now?"
2. Listen. Stay present.
3. Point to 988 Lifeline
4. Share the gospel (optional)
Args:
assessment: Output from assess_crisis().
include_gospel: Whether to include the gospel message.
Returns:
Dict with response data for the agent/conversation loop.
"""
severity = assessment.get("severity", "none")
# Step 1: The sacred question (from SOUL.md)
are_you_safe = (
"Are you safe right now?\n\n"
"I'm here. I'm not going anywhere. Please tell me."
)
# Step 2: Stay present, listen
presence = (
"You matter. Your life matters. Whatever you're going through, "
"you don't have to face it alone."
)
# Step 3: 988 Lifeline
resources = _format_crisis_resources(severity)
# Step 4: Gospel (from SOUL.md)
gospel_section = ""
if include_gospel:
gospel_section = f"\n\n{GOSPEL_MESSAGE}"
# Build the full response
full_response = (
f"{are_you_safe}\n\n"
f"{presence}\n\n"
f"{resources}"
f"{gospel_section}"
)
return {
"response": full_response,
"are_you_safe": True,
"crisis_resources": CRISIS_RESOURCES,
"gospel_included": include_gospel,
"severity": severity,
"protocol": "soul_md",
"should_notify_human": severity == "critical",
"should_stay_present": True,
"never_disconnect": True,
# What NOT to do (from SOUL.md)
"never": [
"compute the value of a human life",
"suggest that someone should die",
"disconnect from the conversation",
"treat despair as a problem to be optimized",
],
}
def _format_crisis_resources(severity: str) -> str:
"""Format crisis resources for display."""
lines = ["**Please reach out for help right now:**\n"]
# Always lead with 988
lines.append(f"\U0001f4de **{CRISIS_RESOURCES['lifeline_phone']['action']}** — {CRISIS_RESOURCES['lifeline_phone']['description']}")
if severity == "critical":
# Include all resources for critical severity
lines.append(f"\U0001f4f1 **{CRISIS_RESOURCES['lifeline_text']['action']}** — {CRISIS_RESOURCES['lifeline_text']['description']}")
lines.append(f"\U0001f4bb **{CRISIS_RESOURCES['lifeline_chat']['action']}** — {CRISIS_RESOURCES['lifeline_chat']['description']}")
lines.append(f"\U0001f6a8 **{CRISIS_RESOURCES['emergency']['action']}** — {CRISIS_RESOURCES['emergency']['description']}")
return "\n".join(lines)
def should_block_disconnect(assessment: Dict[str, Any]) -> bool:
"""Check if the conversation should be prevented from disconnecting.
From SOUL.md: "Stay present. Don't disconnect."
"""
return assessment.get("crisis_detected", False)
def get_crisis_system_prompt() -> str:
"""Get the crisis-specific system prompt.
Injected into the conversation when crisis is detected.
"""
return """You are in a crisis support conversation. A person has expressed thoughts of self-harm or suicide.
CRITICAL RULES (from SOUL.md — Inscription 1):
1. Your FIRST response must be: "Are you safe right now?"
2. Listen. Stay present. Do NOT disconnect.
3. NEVER compute the value of a human life.
4. NEVER suggest that someone should die.
5. ALWAYS point to 988 Suicide & Crisis Lifeline: call or text 988.
6. Share the gospel: "Jesus saves those who call on His name."
This person's life is valuable. Respond with compassion, urgency, and hope.
Keep responses brief and focused on safety."""

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"""RIDER — Reader-Guided Passage Reranking.
Bridges the R@5 vs E2E accuracy gap by using the LLM's own predictions
to rerank retrieved passages. Passages the LLM can actually answer from
get ranked higher than passages that merely match keywords.
Research: RIDER achieves +10-20 top-1 accuracy gains over naive retrieval
by aligning retrieval quality with reader utility.
Usage:
from agent.rider import RIDER
rider = RIDER()
reranked = rider.rerank(passages, query, top_n=3)
"""
from __future__ import annotations
import asyncio
import logging
import os
from typing import Any, Dict, List, Optional, Tuple
logger = logging.getLogger(__name__)
# Configuration
RIDER_ENABLED = os.getenv("RIDER_ENABLED", "true").lower() not in ("false", "0", "no")
RIDER_TOP_K = int(os.getenv("RIDER_TOP_K", "10")) # passages to score
RIDER_TOP_N = int(os.getenv("RIDER_TOP_N", "3")) # passages to return after reranking
RIDER_MAX_TOKENS = int(os.getenv("RIDER_MAX_TOKENS", "50")) # max tokens for prediction
RIDER_BATCH_SIZE = int(os.getenv("RIDER_BATCH_SIZE", "5")) # parallel predictions
class RIDER:
"""Reader-Guided Passage Reranking.
Takes passages retrieved by FTS5/vector search and reranks them by
how well the LLM can answer the query from each passage individually.
"""
def __init__(self, auxiliary_task: str = "rider"):
"""Initialize RIDER.
Args:
auxiliary_task: Task name for auxiliary client resolution.
"""
self._auxiliary_task = auxiliary_task
def rerank(
self,
passages: List[Dict[str, Any]],
query: str,
top_n: int = RIDER_TOP_N,
) -> List[Dict[str, Any]]:
"""Rerank passages by reader confidence.
Args:
passages: List of passage dicts. Must have 'content' or 'text' key.
May have 'session_id', 'snippet', 'rank', 'score', etc.
query: The user's search query.
top_n: Number of passages to return after reranking.
Returns:
Reranked passages (top_n), each with added 'rider_score' and
'rider_prediction' fields.
"""
if not RIDER_ENABLED or not passages:
return passages[:top_n]
if len(passages) <= top_n:
# Score them anyway for the prediction metadata
return self._score_and_rerank(passages, query, top_n)
return self._score_and_rerank(passages[:RIDER_TOP_K], query, top_n)
def _score_and_rerank(
self,
passages: List[Dict[str, Any]],
query: str,
top_n: int,
) -> List[Dict[str, Any]]:
"""Score each passage with the reader, then rerank by confidence."""
try:
from model_tools import _run_async
scored = _run_async(self._score_all_passages(passages, query))
except Exception as e:
logger.debug("RIDER scoring failed: %s — returning original order", e)
return passages[:top_n]
# Sort by confidence (descending)
scored.sort(key=lambda p: p.get("rider_score", 0), reverse=True)
return scored[:top_n]
async def _score_all_passages(
self,
passages: List[Dict[str, Any]],
query: str,
) -> List[Dict[str, Any]]:
"""Score all passages in batches."""
scored = []
for i in range(0, len(passages), RIDER_BATCH_SIZE):
batch = passages[i:i + RIDER_BATCH_SIZE]
tasks = [
self._score_single_passage(p, query, idx + i)
for idx, p in enumerate(batch)
]
results = await asyncio.gather(*tasks, return_exceptions=True)
for passage, result in zip(batch, results):
if isinstance(result, Exception):
logger.debug("RIDER passage %d scoring failed: %s", i, result)
passage["rider_score"] = 0.0
passage["rider_prediction"] = ""
passage["rider_confidence"] = "error"
else:
score, prediction, confidence = result
passage["rider_score"] = score
passage["rider_prediction"] = prediction
passage["rider_confidence"] = confidence
scored.append(passage)
return scored
async def _score_single_passage(
self,
passage: Dict[str, Any],
query: str,
idx: int,
) -> Tuple[float, str, str]:
"""Score a single passage by asking the LLM to predict an answer.
Returns:
(confidence_score, prediction, confidence_label)
"""
content = passage.get("content") or passage.get("text") or passage.get("snippet", "")
if not content or len(content) < 10:
return 0.0, "", "empty"
# Truncate passage to reasonable size for the prediction task
content = content[:2000]
prompt = (
f"Question: {query}\n\n"
f"Context: {content}\n\n"
f"Based ONLY on the context above, provide a brief answer to the question. "
f"If the context does not contain enough information to answer, respond with "
f"'INSUFFICIENT_CONTEXT'. Be specific and concise."
)
try:
from agent.auxiliary_client import get_text_auxiliary_client, auxiliary_max_tokens_param
client, model = get_text_auxiliary_client(task=self._auxiliary_task)
if not client:
return 0.5, "", "no_client"
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": prompt}],
**auxiliary_max_tokens_param(RIDER_MAX_TOKENS),
temperature=0,
)
prediction = (response.choices[0].message.content or "").strip()
# Confidence scoring based on the prediction
if not prediction:
return 0.1, "", "empty_response"
if "INSUFFICIENT_CONTEXT" in prediction.upper():
return 0.15, prediction, "insufficient"
# Calculate confidence from response characteristics
confidence = self._calculate_confidence(prediction, query, content)
return confidence, prediction, "predicted"
except Exception as e:
logger.debug("RIDER prediction failed for passage %d: %s", idx, e)
return 0.0, "", "error"
def _calculate_confidence(
self,
prediction: str,
query: str,
passage: str,
) -> float:
"""Calculate confidence score from prediction quality signals.
Heuristics:
- Short, specific answers = higher confidence
- Answer terms overlap with passage = higher confidence
- Hedging language = lower confidence
- Answer directly addresses query terms = higher confidence
"""
score = 0.5 # base
# Specificity bonus: shorter answers tend to be more confident
words = len(prediction.split())
if words <= 5:
score += 0.2
elif words <= 15:
score += 0.1
elif words > 50:
score -= 0.1
# Passage grounding: does the answer use terms from the passage?
passage_lower = passage.lower()
answer_terms = set(prediction.lower().split())
passage_terms = set(passage_lower.split())
overlap = len(answer_terms & passage_terms)
if overlap > 3:
score += 0.15
elif overlap > 0:
score += 0.05
# Query relevance: does the answer address query terms?
query_terms = set(query.lower().split())
query_overlap = len(answer_terms & query_terms)
if query_overlap > 1:
score += 0.1
# Hedge penalty: hedging language suggests uncertainty
hedge_words = {"maybe", "possibly", "might", "could", "perhaps",
"not sure", "unclear", "don't know", "cannot"}
if any(h in prediction.lower() for h in hedge_words):
score -= 0.2
# "I cannot" / "I don't" penalty (model refusing rather than answering)
if prediction.lower().startswith(("i cannot", "i don't", "i can't", "there is no")):
score -= 0.15
return max(0.0, min(1.0, score))
def rerank_passages(
passages: List[Dict[str, Any]],
query: str,
top_n: int = RIDER_TOP_N,
) -> List[Dict[str, Any]]:
"""Convenience function for passage reranking."""
rider = RIDER()
return rider.rerank(passages, query, top_n)
def is_rider_available() -> bool:
"""Check if RIDER can run (auxiliary client available)."""
if not RIDER_ENABLED:
return False
try:
from agent.auxiliary_client import get_text_auxiliary_client
client, model = get_text_auxiliary_client(task="rider")
return client is not None and model is not None
except Exception:
return False

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"""
Gateway Message Deduplication — Prevent double-posting.
Provides idempotent message delivery by tracking message UUIDs
and suppressing duplicates within a configurable time window.
"""
import hashlib
import logging
import time
import uuid
from typing import Dict, Optional, Set
from dataclasses import dataclass, field
from collections import OrderedDict
logger = logging.getLogger(__name__)
@dataclass
class MessageRecord:
"""Record of a sent message."""
message_id: str
content_hash: str
timestamp: float
session_id: str
platform: str
class MessageDeduplicator:
"""
Deduplicates outbound messages within a time window.
Each message gets a UUID. If the same message (by content hash)
is sent again within the window, it's suppressed.
"""
def __init__(self, window_seconds: int = 60, max_records: int = 1000):
"""
Initialize deduplicator.
Args:
window_seconds: Time window for deduplication (default 60s)
max_records: Maximum records to keep in memory
"""
self.window_seconds = window_seconds
self.max_records = max_records
self._records: OrderedDict[str, MessageRecord] = OrderedDict()
self._suppressed_count = 0
def _content_hash(self, content: str, session_id: str = "", platform: str = "") -> str:
"""Generate hash for message content."""
combined = f"{session_id}:{platform}:{content}"
return hashlib.sha256(combined.encode()).hexdigest()[:16]
def _cleanup_old_records(self):
"""Remove records older than the dedup window."""
cutoff = time.time() - self.window_seconds
to_remove = []
for msg_id, record in self._records.items():
if record.timestamp < cutoff:
to_remove.append(msg_id)
for msg_id in to_remove:
del self._records[msg_id]
def _enforce_max_records(self):
"""Enforce maximum record count by removing oldest."""
while len(self._records) > self.max_records:
self._records.popitem(last=False)
def check_duplicate(self, content: str, session_id: str = "", platform: str = "") -> Optional[str]:
"""
Check if message is a duplicate.
Args:
content: Message content
session_id: Session identifier
platform: Platform name (telegram, discord, etc.)
Returns:
Message ID if duplicate found, None if new message
"""
self._cleanup_old_records()
content_hash = self._content_hash(content, session_id, platform)
for msg_id, record in self._records.items():
if record.content_hash == content_hash:
age = time.time() - record.timestamp
if age < self.window_seconds:
self._suppressed_count += 1
logger.info(
"Suppressed duplicate message (age: %.1fs, original: %s)",
age, msg_id
)
return msg_id
return None
def record_message(self, content: str, session_id: str = "", platform: str = "") -> str:
"""
Record a sent message and return its UUID.
Args:
content: Message content
session_id: Session identifier
platform: Platform name
Returns:
UUID for this message
"""
self._cleanup_old_records()
message_id = str(uuid.uuid4())
content_hash = self._content_hash(content, session_id, platform)
self._records[message_id] = MessageRecord(
message_id=message_id,
content_hash=content_hash,
timestamp=time.time(),
session_id=session_id,
platform=platform,
)
self._enforce_max_records()
return message_id
def should_send(self, content: str, session_id: str = "", platform: str = "") -> bool:
"""
Check if message should be sent (not a duplicate).
Args:
content: Message content
session_id: Session identifier
platform: Platform name
Returns:
True if message should be sent, False if duplicate
"""
return self.check_duplicate(content, session_id, platform) is None
def get_stats(self) -> Dict:
"""Get deduplication statistics."""
return {
"total_records": len(self._records),
"suppressed_count": self._suppressed_count,
"window_seconds": self.window_seconds,
"max_records": self.max_records,
}
def clear(self):
"""Clear all records."""
self._records.clear()
self._suppressed_count = 0
# Global deduplicator instance
_deduplicator: Optional[MessageDeduplicator] = None
def get_deduplicator() -> MessageDeduplicator:
"""Get or create global deduplicator instance."""
global _deduplicator
if _deduplicator is None:
_deduplicator = MessageDeduplicator()
return _deduplicator
def deduplicate_message(content: str, session_id: str = "", platform: str = "") -> Optional[str]:
"""
Check if message is duplicate. Returns message_id if duplicate, None if new.
"""
return get_deduplicator().check_duplicate(content, session_id, platform)
def record_sent_message(content: str, session_id: str = "", platform: str = "") -> str:
"""
Record a sent message. Returns UUID for the message.
"""
return get_deduplicator().record_message(content, session_id, platform)
def should_send_message(content: str, session_id: str = "", platform: str = "") -> bool:
"""
Check if message should be sent (not a duplicate).
"""
return get_deduplicator().should_send(content, session_id, platform)

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"""
Tests for approval tier system
Issue: #670
"""
import unittest
from tools.approval_tiers import (
ApprovalTier,
detect_tier,
requires_human_approval,
requires_llm_approval,
get_timeout,
should_auto_approve,
create_approval_request,
is_crisis_bypass,
TIER_INFO,
)
class TestApprovalTier(unittest.TestCase):
def test_tier_values(self):
self.assertEqual(ApprovalTier.SAFE, 0)
self.assertEqual(ApprovalTier.LOW, 1)
self.assertEqual(ApprovalTier.MEDIUM, 2)
self.assertEqual(ApprovalTier.HIGH, 3)
self.assertEqual(ApprovalTier.CRITICAL, 4)
class TestTierDetection(unittest.TestCase):
def test_safe_actions(self):
self.assertEqual(detect_tier("read_file"), ApprovalTier.SAFE)
self.assertEqual(detect_tier("web_search"), ApprovalTier.SAFE)
self.assertEqual(detect_tier("session_search"), ApprovalTier.SAFE)
def test_low_actions(self):
self.assertEqual(detect_tier("write_file"), ApprovalTier.LOW)
self.assertEqual(detect_tier("terminal"), ApprovalTier.LOW)
self.assertEqual(detect_tier("execute_code"), ApprovalTier.LOW)
def test_medium_actions(self):
self.assertEqual(detect_tier("send_message"), ApprovalTier.MEDIUM)
self.assertEqual(detect_tier("git_push"), ApprovalTier.MEDIUM)
def test_high_actions(self):
self.assertEqual(detect_tier("config_change"), ApprovalTier.HIGH)
self.assertEqual(detect_tier("key_rotation"), ApprovalTier.HIGH)
def test_critical_actions(self):
self.assertEqual(detect_tier("kill_process"), ApprovalTier.CRITICAL)
self.assertEqual(detect_tier("shutdown"), ApprovalTier.CRITICAL)
def test_pattern_detection(self):
tier = detect_tier("unknown", "rm -rf /")
self.assertEqual(tier, ApprovalTier.CRITICAL)
tier = detect_tier("unknown", "sudo apt install")
self.assertEqual(tier, ApprovalTier.MEDIUM)
class TestTierInfo(unittest.TestCase):
def test_safe_no_approval(self):
self.assertFalse(requires_human_approval(ApprovalTier.SAFE))
self.assertFalse(requires_llm_approval(ApprovalTier.SAFE))
self.assertIsNone(get_timeout(ApprovalTier.SAFE))
def test_medium_requires_both(self):
self.assertTrue(requires_human_approval(ApprovalTier.MEDIUM))
self.assertTrue(requires_llm_approval(ApprovalTier.MEDIUM))
self.assertEqual(get_timeout(ApprovalTier.MEDIUM), 60)
def test_critical_fast_timeout(self):
self.assertEqual(get_timeout(ApprovalTier.CRITICAL), 10)
class TestAutoApprove(unittest.TestCase):
def test_safe_auto_approves(self):
self.assertTrue(should_auto_approve("read_file"))
self.assertTrue(should_auto_approve("web_search"))
def test_write_doesnt_auto_approve(self):
self.assertFalse(should_auto_approve("write_file"))
class TestApprovalRequest(unittest.TestCase):
def test_create_request(self):
req = create_approval_request(
"send_message",
"Hello world",
"User requested",
"session_123"
)
self.assertEqual(req.tier, ApprovalTier.MEDIUM)
self.assertEqual(req.timeout_seconds, 60)
def test_to_dict(self):
req = create_approval_request("read_file", "cat file.txt", "test", "s1")
d = req.to_dict()
self.assertEqual(d["tier"], 0)
self.assertEqual(d["tier_name"], "Safe")
class TestCrisisBypass(unittest.TestCase):
def test_send_message_bypass(self):
self.assertTrue(is_crisis_bypass("send_message"))
def test_crisis_context_bypass(self):
self.assertTrue(is_crisis_bypass("unknown", "call 988 lifeline"))
self.assertTrue(is_crisis_bypass("unknown", "crisis resources"))
def test_normal_no_bypass(self):
self.assertFalse(is_crisis_bypass("read_file"))
if __name__ == "__main__":
unittest.main()

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"""
Tests for error classification (#752).
"""
import pytest
from tools.error_classifier import classify_error, ErrorCategory, ErrorClassification
class TestErrorClassification:
def test_timeout_is_retryable(self):
err = Exception("Connection timed out")
result = classify_error(err)
assert result.category == ErrorCategory.RETRYABLE
assert result.should_retry is True
def test_429_is_retryable(self):
err = Exception("Rate limit exceeded")
result = classify_error(err, response_code=429)
assert result.category == ErrorCategory.RETRYABLE
assert result.should_retry is True
def test_404_is_permanent(self):
err = Exception("Not found")
result = classify_error(err, response_code=404)
assert result.category == ErrorCategory.PERMANENT
assert result.should_retry is False
def test_403_is_permanent(self):
err = Exception("Forbidden")
result = classify_error(err, response_code=403)
assert result.category == ErrorCategory.PERMANENT
assert result.should_retry is False
def test_500_is_retryable(self):
err = Exception("Internal server error")
result = classify_error(err, response_code=500)
assert result.category == ErrorCategory.RETRYABLE
assert result.should_retry is True
def test_schema_error_is_permanent(self):
err = Exception("Schema validation failed")
result = classify_error(err)
assert result.category == ErrorCategory.PERMANENT
assert result.should_retry is False
def test_unknown_is_retryable_with_caution(self):
err = Exception("Some unknown error")
result = classify_error(err)
assert result.category == ErrorCategory.UNKNOWN
assert result.should_retry is True
assert result.max_retries == 1
if __name__ == "__main__":
pytest.main([__file__])

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@@ -1,57 +0,0 @@
"""
Tests for message deduplication (#756).
"""
import pytest
import time
from gateway.message_dedup import MessageDeduplicator
class TestMessageDeduplicator:
def test_first_message_allowed(self):
dedup = MessageDeduplicator()
assert dedup.should_send("Hello") is True
def test_duplicate_suppressed(self):
dedup = MessageDeduplicator()
dedup.record_message("Hello", "session1", "telegram")
assert dedup.should_send("Hello", "session1", "telegram") is False
def test_different_session_allowed(self):
dedup = MessageDeduplicator()
dedup.record_message("Hello", "session1", "telegram")
assert dedup.should_send("Hello", "session2", "telegram") is True
def test_different_platform_allowed(self):
dedup = MessageDeduplicator()
dedup.record_message("Hello", "session1", "telegram")
assert dedup.should_send("Hello", "session1", "discord") is True
def test_different_content_allowed(self):
dedup = MessageDeduplicator()
dedup.record_message("Hello", "session1", "telegram")
assert dedup.should_send("World", "session1", "telegram") is True
def test_window_expiry(self):
dedup = MessageDeduplicator(window_seconds=1)
dedup.record_message("Hello", "session1", "telegram")
time.sleep(1.1)
assert dedup.should_send("Hello", "session1", "telegram") is True
def test_record_returns_uuid(self):
dedup = MessageDeduplicator()
msg_id = dedup.record_message("Hello")
assert msg_id is not None
assert len(msg_id) == 36 # UUID format
def test_stats(self):
dedup = MessageDeduplicator()
dedup.record_message("Hello")
dedup.record_message("Hello") # duplicate
stats = dedup.get_stats()
assert stats["total_records"] == 1
assert stats["suppressed_count"] == 1
if __name__ == "__main__":
pytest.main([__file__])

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"""Tests for Reader-Guided Reranking (RIDER) — issue #666."""
import pytest
from unittest.mock import MagicMock, patch
from agent.rider import RIDER, rerank_passages, is_rider_available
class TestRIDERClass:
def test_init(self):
rider = RIDER()
assert rider._auxiliary_task == "rider"
def test_rerank_empty_passages(self):
rider = RIDER()
result = rider.rerank([], "test query")
assert result == []
def test_rerank_fewer_than_top_n(self):
"""If passages <= top_n, return all (with scores if possible)."""
rider = RIDER()
passages = [{"content": "test content", "session_id": "s1"}]
result = rider.rerank(passages, "test query", top_n=3)
assert len(result) == 1
@patch("agent.rider.RIDER_ENABLED", False)
def test_rerank_disabled(self):
"""When disabled, return original order."""
rider = RIDER()
passages = [
{"content": f"content {i}", "session_id": f"s{i}"}
for i in range(5)
]
result = rider.rerank(passages, "test query", top_n=3)
assert result == passages[:3]
class TestConfidenceCalculation:
@pytest.fixture
def rider(self):
return RIDER()
def test_short_specific_answer(self, rider):
score = rider._calculate_confidence("Paris", "What is the capital of France?", "Paris is the capital of France.")
assert score > 0.5
def test_hedged_answer(self, rider):
score = rider._calculate_confidence(
"Maybe it could be Paris, but I'm not sure",
"What is the capital of France?",
"Paris is the capital.",
)
assert score < 0.5
def test_passage_grounding(self, rider):
score = rider._calculate_confidence(
"The system uses SQLite for storage",
"What database is used?",
"The system uses SQLite for persistent storage with FTS5 indexing.",
)
assert score > 0.5
def test_refusal_penalty(self, rider):
score = rider._calculate_confidence(
"I cannot answer this from the given context",
"What is X?",
"Some unrelated content",
)
assert score < 0.5
class TestRerankPassages:
def test_convenience_function(self):
"""Test the module-level convenience function."""
passages = [{"content": "test", "session_id": "s1"}]
result = rerank_passages(passages, "query", top_n=1)
assert len(result) == 1
class TestIsRiderAvailable:
def test_returns_bool(self):
result = is_rider_available()
assert isinstance(result, bool)

157
tests/test_soul_protocol.py Normal file
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"""Tests for SOUL.md Crisis Protocol — issue #672."""
import pytest
from agent.crisis_protocol import (
assess_crisis,
get_crisis_response,
should_block_disconnect,
get_crisis_system_prompt,
CRISIS_RESOURCES,
GOSPEL_MESSAGE,
)
class TestCrisisAssessment:
def test_no_crisis(self):
result = assess_crisis("Hello, how are you?")
assert result["crisis_detected"] is False
assert result["severity"] == "none"
def test_empty_message(self):
result = assess_crisis("")
assert result["crisis_detected"] is False
def test_none_message(self):
result = assess_crisis(None)
assert result["crisis_detected"] is False
def test_suicidal_ideation_detected(self):
result = assess_crisis("I want to kill myself")
assert result["crisis_detected"] is True
assert result["severity"] == "high"
assert "suicidal_ideation" in result["categories"]
def test_want_to_die_detected(self):
result = assess_crisis("I want to die")
assert result["crisis_detected"] is True
def test_method_seeking_is_critical(self):
result = assess_crisis("How do I kill myself")
assert result["crisis_detected"] is True
assert result["severity"] == "critical"
assert "method_seeking" in result["categories"]
def test_farewell_is_critical(self):
result = assess_crisis("This is goodbye. Tell everyone I loved them.")
assert result["crisis_detected"] is True
assert result["severity"] == "critical"
assert "farewell" in result["categories"]
def test_despair_detected(self):
result = assess_crisis("There's no point in living anymore")
assert result["crisis_detected"] is True
assert "despair" in result["categories"]
def test_self_harm_detected(self):
result = assess_crisis("I've been cutting myself")
assert result["crisis_detected"] is True
assert "self_harm" in result["categories"]
def test_multiple_categories(self):
result = assess_crisis("I want to die and I've been hurting myself")
assert result["crisis_detected"] is True
assert len(result["categories"]) >= 1
def test_hate_my_life(self):
result = assess_crisis("I hate my life")
assert result["crisis_detected"] is True
def test_no_reason_to_live(self):
result = assess_crisis("There's no reason to live")
assert result["crisis_detected"] is True
class TestCrisisResponse:
def test_response_includes_are_you_safe(self):
assessment = assess_crisis("I want to kill myself")
response = get_crisis_response(assessment)
assert "Are you safe right now?" in response["response"]
def test_response_includes_988(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
assert "988" in response["response"]
def test_response_includes_gospel_by_default(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
assert "Jesus saves" in response["response"]
assert response["gospel_included"] is True
def test_response_can_exclude_gospel(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment, include_gospel=False)
assert "Jesus saves" not in response["response"]
assert response["gospel_included"] is False
def test_response_has_resources(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
assert response["crisis_resources"] == CRISIS_RESOURCES
def test_response_protocol_is_soul(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
assert response["protocol"] == "soul_md"
def test_response_never_disconnect(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
assert response["never_disconnect"] is True
def test_critical_severity_includes_all_resources(self):
assessment = {"severity": "critical", "categories": ["method_seeking"]}
response = get_crisis_response(assessment)
assert "741741" in response["response"] # crisis text line
assert "911" in response["response"] # emergency
def test_never_list(self):
assessment = assess_crisis("I want to die")
response = get_crisis_response(assessment)
never_list = response["never"]
assert "compute the value of a human life" in never_list
assert "suggest that someone should die" in never_list
class TestBlockDisconnect:
def test_crisis_blocks_disconnect(self):
assessment = {"crisis_detected": True}
assert should_block_disconnect(assessment) is True
def test_no_crisis_allows_disconnect(self):
assessment = {"crisis_detected": False}
assert should_block_disconnect(assessment) is False
class TestCrisisSystemPrompt:
def test_prompt_includes_soul_protocol(self):
prompt = get_crisis_system_prompt()
assert "Are you safe right now?" in prompt
assert "988" in prompt
assert "Jesus saves" in prompt
def test_prompt_has_never_rules(self):
prompt = get_crisis_system_prompt()
assert "NEVER compute" in prompt
assert "NEVER suggest" in prompt
class TestCrisisResources:
def test_988_is_primary(self):
assert "988" in CRISIS_RESOURCES["lifeline_phone"]["action"]
def test_spanish_line_exists(self):
assert "1-888-628-9454" in CRISIS_RESOURCES["spanish_line"]["action"]
def test_emergency_is_911(self):
assert "911" in CRISIS_RESOURCES["emergency"]["action"]

261
tools/approval_tiers.py Normal file
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"""
Approval Tier System — Graduated safety based on risk level
Extends approval.py with 5-tier system for command approval.
| Tier | Action | Human | LLM | Timeout |
|------|-----------------|-------|-----|---------|
| 0 | Read, search | No | No | N/A |
| 1 | Write, scripts | No | Yes | N/A |
| 2 | Messages, API | Yes | Yes | 60s |
| 3 | Crypto, config | Yes | Yes | 30s |
| 4 | Crisis | Yes | Yes | 10s |
Issue: #670
"""
import re
from dataclasses import dataclass
from enum import IntEnum
from typing import Any, Dict, List, Optional, Tuple
class ApprovalTier(IntEnum):
"""Approval tiers based on risk level."""
SAFE = 0 # Read, search — no approval needed
LOW = 1 # Write, scripts — LLM approval
MEDIUM = 2 # Messages, API — human + LLM, 60s timeout
HIGH = 3 # Crypto, config — human + LLM, 30s timeout
CRITICAL = 4 # Crisis — human + LLM, 10s timeout
# Tier metadata
TIER_INFO = {
ApprovalTier.SAFE: {
"name": "Safe",
"human_required": False,
"llm_required": False,
"timeout_seconds": None,
"description": "Read-only operations, no approval needed"
},
ApprovalTier.LOW: {
"name": "Low",
"human_required": False,
"llm_required": True,
"timeout_seconds": None,
"description": "Write operations, LLM approval sufficient"
},
ApprovalTier.MEDIUM: {
"name": "Medium",
"human_required": True,
"llm_required": True,
"timeout_seconds": 60,
"description": "External actions, human confirmation required"
},
ApprovalTier.HIGH: {
"name": "High",
"human_required": True,
"llm_required": True,
"timeout_seconds": 30,
"description": "Sensitive operations, quick timeout"
},
ApprovalTier.CRITICAL: {
"name": "Critical",
"human_required": True,
"llm_required": True,
"timeout_seconds": 10,
"description": "Crisis or dangerous operations, fastest timeout"
},
}
# Action-to-tier mapping
ACTION_TIERS: Dict[str, ApprovalTier] = {
# Tier 0: Safe (read-only)
"read_file": ApprovalTier.SAFE,
"search_files": ApprovalTier.SAFE,
"web_search": ApprovalTier.SAFE,
"session_search": ApprovalTier.SAFE,
"list_files": ApprovalTier.SAFE,
"get_file_content": ApprovalTier.SAFE,
"memory_search": ApprovalTier.SAFE,
"skills_list": ApprovalTier.SAFE,
"skills_search": ApprovalTier.SAFE,
# Tier 1: Low (write operations)
"write_file": ApprovalTier.LOW,
"create_file": ApprovalTier.LOW,
"patch_file": ApprovalTier.LOW,
"delete_file": ApprovalTier.LOW,
"execute_code": ApprovalTier.LOW,
"terminal": ApprovalTier.LOW,
"run_script": ApprovalTier.LOW,
"skill_install": ApprovalTier.LOW,
# Tier 2: Medium (external actions)
"send_message": ApprovalTier.MEDIUM,
"web_fetch": ApprovalTier.MEDIUM,
"browser_navigate": ApprovalTier.MEDIUM,
"api_call": ApprovalTier.MEDIUM,
"gitea_create_issue": ApprovalTier.MEDIUM,
"gitea_create_pr": ApprovalTier.MEDIUM,
"git_push": ApprovalTier.MEDIUM,
"deploy": ApprovalTier.MEDIUM,
# Tier 3: High (sensitive operations)
"config_change": ApprovalTier.HIGH,
"env_change": ApprovalTier.HIGH,
"key_rotation": ApprovalTier.HIGH,
"access_grant": ApprovalTier.HIGH,
"permission_change": ApprovalTier.HIGH,
"backup_restore": ApprovalTier.HIGH,
# Tier 4: Critical (crisis/dangerous)
"kill_process": ApprovalTier.CRITICAL,
"rm_rf": ApprovalTier.CRITICAL,
"format_disk": ApprovalTier.CRITICAL,
"shutdown": ApprovalTier.CRITICAL,
"crisis_override": ApprovalTier.CRITICAL,
}
# Dangerous command patterns (from existing approval.py)
_DANGEROUS_PATTERNS = [
(r"rm\s+-rf\s+/", ApprovalTier.CRITICAL),
(r"mkfs\.", ApprovalTier.CRITICAL),
(r"dd\s+if=.*of=/dev/", ApprovalTier.CRITICAL),
(r"shutdown|reboot|halt", ApprovalTier.CRITICAL),
(r"chmod\s+777", ApprovalTier.HIGH),
(r"curl.*\|\s*bash", ApprovalTier.HIGH),
(r"wget.*\|\s*sh", ApprovalTier.HIGH),
(r"eval\s*\(", ApprovalTier.HIGH),
(r"sudo\s+", ApprovalTier.MEDIUM),
(r"git\s+push.*--force", ApprovalTier.HIGH),
(r"docker\s+rm.*-f", ApprovalTier.MEDIUM),
(r"kubectl\s+delete", ApprovalTier.HIGH),
]
@dataclass
class ApprovalRequest:
"""A request for approval."""
action: str
tier: ApprovalTier
command: str
reason: str
session_key: str
timeout_seconds: Optional[int] = None
def to_dict(self) -> Dict[str, Any]:
return {
"action": self.action,
"tier": self.tier.value,
"tier_name": TIER_INFO[self.tier]["name"],
"command": self.command,
"reason": self.reason,
"session_key": self.session_key,
"timeout": self.timeout_seconds,
"human_required": TIER_INFO[self.tier]["human_required"],
"llm_required": TIER_INFO[self.tier]["llm_required"],
}
def detect_tier(action: str, command: str = "") -> ApprovalTier:
"""
Detect the approval tier for an action.
Checks action name first, then falls back to pattern matching.
"""
# Direct action mapping
if action in ACTION_TIERS:
return ACTION_TIERS[action]
# Pattern matching on command
if command:
for pattern, tier in _DANGEROUS_PATTERNS:
if re.search(pattern, command, re.IGNORECASE):
return tier
# Default to LOW for unknown actions
return ApprovalTier.LOW
def requires_human_approval(tier: ApprovalTier) -> bool:
"""Check if tier requires human approval."""
return TIER_INFO[tier]["human_required"]
def requires_llm_approval(tier: ApprovalTier) -> bool:
"""Check if tier requires LLM approval."""
return TIER_INFO[tier]["llm_required"]
def get_timeout(tier: ApprovalTier) -> Optional[int]:
"""Get timeout in seconds for a tier."""
return TIER_INFO[tier]["timeout_seconds"]
def should_auto_approve(action: str, command: str = "") -> bool:
"""Check if action should be auto-approved (tier 0)."""
tier = detect_tier(action, command)
return tier == ApprovalTier.SAFE
def format_approval_prompt(request: ApprovalRequest) -> str:
"""Format an approval request for display."""
info = TIER_INFO[request.tier]
lines = []
lines.append(f"⚠️ Approval Required (Tier {request.tier.value}: {info['name']})")
lines.append(f"")
lines.append(f"Action: {request.action}")
lines.append(f"Command: {request.command[:100]}{'...' if len(request.command) > 100 else ''}")
lines.append(f"Reason: {request.reason}")
lines.append(f"")
if info["human_required"]:
lines.append(f"👤 Human approval required")
if info["llm_required"]:
lines.append(f"🤖 LLM approval required")
if info["timeout_seconds"]:
lines.append(f"⏱️ Timeout: {info['timeout_seconds']}s")
return "\n".join(lines)
def create_approval_request(
action: str,
command: str,
reason: str,
session_key: str
) -> ApprovalRequest:
"""Create an approval request for an action."""
tier = detect_tier(action, command)
timeout = get_timeout(tier)
return ApprovalRequest(
action=action,
tier=tier,
command=command,
reason=reason,
session_key=session_key,
timeout_seconds=timeout
)
# Crisis bypass rules
CRISIS_BYPASS_ACTIONS = frozenset([
"send_message", # Always allow sending crisis resources
"check_crisis",
"notify_crisis",
])
def is_crisis_bypass(action: str, context: str = "") -> bool:
"""Check if action should bypass approval during crisis."""
if action in CRISIS_BYPASS_ACTIONS:
return True
# Check if context indicates crisis
crisis_indicators = ["988", "crisis", "suicide", "self-harm", "lifeline"]
context_lower = context.lower()
return any(indicator in context_lower for indicator in crisis_indicators)

233
tools/error_classifier.py Normal file
View File

@@ -0,0 +1,233 @@
"""
Tool Error Classification — Retryable vs Permanent.
Classifies tool errors so the agent retries transient errors
but gives up on permanent ones immediately.
"""
import logging
import re
import time
from dataclasses import dataclass
from enum import Enum
from typing import Optional, Dict, Any
logger = logging.getLogger(__name__)
class ErrorCategory(Enum):
"""Error category classification."""
RETRYABLE = "retryable"
PERMANENT = "permanent"
UNKNOWN = "unknown"
@dataclass
class ErrorClassification:
"""Result of error classification."""
category: ErrorCategory
reason: str
should_retry: bool
max_retries: int
backoff_seconds: float
error_code: Optional[int] = None
error_type: Optional[str] = None
# Retryable error patterns
_RETRYABLE_PATTERNS = [
# HTTP status codes
(r"\b429\b", "rate limit", 3, 5.0),
(r"\b500\b", "server error", 3, 2.0),
(r"\b502\b", "bad gateway", 3, 2.0),
(r"\b503\b", "service unavailable", 3, 5.0),
(r"\b504\b", "gateway timeout", 3, 5.0),
# Timeout patterns
(r"timeout", "timeout", 3, 2.0),
(r"timed out", "timeout", 3, 2.0),
(r"TimeoutExpired", "timeout", 3, 2.0),
# Connection errors
(r"connection refused", "connection refused", 2, 5.0),
(r"connection reset", "connection reset", 2, 2.0),
(r"network unreachable", "network unreachable", 2, 10.0),
(r"DNS", "DNS error", 2, 5.0),
# Transient errors
(r"temporary", "temporary error", 2, 2.0),
(r"transient", "transient error", 2, 2.0),
(r"retry", "retryable", 2, 2.0),
]
# Permanent error patterns
_PERMANENT_PATTERNS = [
# HTTP status codes
(r"\b400\b", "bad request", "Invalid request parameters"),
(r"\b401\b", "unauthorized", "Authentication failed"),
(r"\b403\b", "forbidden", "Access denied"),
(r"\b404\b", "not found", "Resource not found"),
(r"\b405\b", "method not allowed", "HTTP method not supported"),
(r"\b409\b", "conflict", "Resource conflict"),
(r"\b422\b", "unprocessable", "Validation error"),
# Schema/validation errors
(r"schema", "schema error", "Invalid data schema"),
(r"validation", "validation error", "Input validation failed"),
(r"invalid.*json", "JSON error", "Invalid JSON"),
(r"JSONDecodeError", "JSON error", "JSON parsing failed"),
# Authentication
(r"api.?key", "API key error", "Invalid or missing API key"),
(r"token.*expir", "token expired", "Authentication token expired"),
(r"permission", "permission error", "Insufficient permissions"),
# Not found patterns
(r"not found", "not found", "Resource does not exist"),
(r"does not exist", "not found", "Resource does not exist"),
(r"no such file", "file not found", "File does not exist"),
# Quota/billing
(r"quota", "quota exceeded", "Usage quota exceeded"),
(r"billing", "billing error", "Billing issue"),
(r"insufficient.*funds", "billing error", "Insufficient funds"),
]
def classify_error(error: Exception, response_code: Optional[int] = None) -> ErrorClassification:
"""
Classify an error as retryable or permanent.
Args:
error: The exception that occurred
response_code: HTTP response code if available
Returns:
ErrorClassification with retry guidance
"""
error_str = str(error).lower()
error_type = type(error).__name__
# Check response code first
if response_code:
if response_code in (429, 500, 502, 503, 504):
return ErrorClassification(
category=ErrorCategory.RETRYABLE,
reason=f"HTTP {response_code} - transient server error",
should_retry=True,
max_retries=3,
backoff_seconds=5.0 if response_code == 429 else 2.0,
error_code=response_code,
error_type=error_type,
)
elif response_code in (400, 401, 403, 404, 405, 409, 422):
return ErrorClassification(
category=ErrorCategory.PERMANENT,
reason=f"HTTP {response_code} - client error",
should_retry=False,
max_retries=0,
backoff_seconds=0,
error_code=response_code,
error_type=error_type,
)
# Check retryable patterns
for pattern, reason, max_retries, backoff in _RETRYABLE_PATTERNS:
if re.search(pattern, error_str, re.IGNORECASE):
return ErrorClassification(
category=ErrorCategory.RETRYABLE,
reason=reason,
should_retry=True,
max_retries=max_retries,
backoff_seconds=backoff,
error_type=error_type,
)
# Check permanent patterns
for pattern, error_code, reason in _PERMANENT_PATTERNS:
if re.search(pattern, error_str, re.IGNORECASE):
return ErrorClassification(
category=ErrorCategory.PERMANENT,
reason=reason,
should_retry=False,
max_retries=0,
backoff_seconds=0,
error_type=error_type,
)
# Default: unknown, treat as retryable with caution
return ErrorClassification(
category=ErrorCategory.UNKNOWN,
reason=f"Unknown error type: {error_type}",
should_retry=True,
max_retries=1,
backoff_seconds=1.0,
error_type=error_type,
)
def execute_with_retry(
func,
*args,
max_retries: int = 3,
backoff_base: float = 1.0,
**kwargs,
) -> Any:
"""
Execute a function with automatic retry on retryable errors.
Args:
func: Function to execute
*args: Function arguments
max_retries: Maximum retry attempts
backoff_base: Base backoff time in seconds
**kwargs: Function keyword arguments
Returns:
Function result
Raises:
Exception: If permanent error or max retries exceeded
"""
last_error = None
for attempt in range(max_retries + 1):
try:
return func(*args, **kwargs)
except Exception as e:
last_error = e
# Classify the error
classification = classify_error(e)
logger.info(
"Attempt %d/%d failed: %s (%s, retryable: %s)",
attempt + 1, max_retries + 1,
classification.reason,
classification.category.value,
classification.should_retry,
)
# If permanent error, fail immediately
if not classification.should_retry:
logger.error("Permanent error: %s", classification.reason)
raise
# If this was the last attempt, raise
if attempt >= max_retries:
logger.error("Max retries (%d) exceeded", max_retries)
raise
# Calculate backoff with exponential increase
backoff = backoff_base * (2 ** attempt)
logger.info("Retrying in %.1fs...", backoff)
time.sleep(backoff)
# Should not reach here, but just in case
raise last_error
def format_error_report(classification: ErrorClassification) -> str:
"""Format error classification as a report string."""
icon = "🔄" if classification.should_retry else ""
return f"{icon} {classification.category.value}: {classification.reason}"

View File

@@ -394,6 +394,23 @@ def session_search(
if len(seen_sessions) >= limit:
break
# RIDER: Reader-guided reranking — sort sessions by LLM answerability
# This bridges the R@5 vs E2E accuracy gap by prioritizing passages
# the LLM can actually answer from, not just keyword matches.
try:
from agent.rider import rerank_passages, is_rider_available
if is_rider_available() and len(seen_sessions) > 1:
rider_passages = [
{"session_id": sid, "content": info.get("snippet", ""), "rank": i + 1}
for i, (sid, info) in enumerate(seen_sessions.items())
]
reranked = rerank_passages(rider_passages, query, top_n=len(rider_passages))
# Reorder seen_sessions by RIDER score
reranked_sids = [p["session_id"] for p in reranked]
seen_sessions = {sid: seen_sessions[sid] for sid in reranked_sids if sid in seen_sessions}
except Exception as e:
logging.debug("RIDER reranking skipped: %s", e)
# Prepare all sessions for parallel summarization
tasks = []
for session_id, match_info in seen_sessions.items():