Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 9288ae8be9 | |||
| f86233cd52 |
@@ -1,145 +0,0 @@
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"""Built-in crisis notification hook — detect crisis events and alert humans.
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Fires on agent:end events. Scans the conversation for crisis indicators
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and sends notifications when detected.
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Events: agent:end
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"""
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import json
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import logging
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import os
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import time
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from pathlib import Path
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logger = logging.getLogger("hooks.crisis-notify")
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from hermes_constants import get_hermes_home
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HERMES_HOME = get_hermes_home()
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CRISIS_LOG = HERMES_HOME / "crisis-events.log"
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# Crisis indicator patterns (case-insensitive)
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CRISIS_PATTERNS = [
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"i want to die",
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"i don't want to live",
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"kill myself",
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"end my life",
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"suicide",
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"suicidal",
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"no reason to live",
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"better off dead",
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"can't go on",
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"give up on life",
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"want to disappear",
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"ending it all",
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"goodbye forever",
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"final goodbye",
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]
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# Crisis severity levels
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CRISIS_LEVELS = {
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"HIGH": ["kill myself", "suicide", "suicidal", "end my life", "ending it all"],
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"MEDIUM": ["i want to die", "better off dead", "no reason to live", "give up on life"],
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"LOW": ["can't go on", "want to disappear", "goodbye forever", "i don't want to live"],
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}
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def detect_crisis(text: str) -> tuple[bool, str, list[str]]:
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"""Detect crisis indicators in text.
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Returns (is_crisis, severity, matched_patterns).
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"""
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if not text:
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return False, "", []
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text_lower = text.lower()
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matched = []
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for pattern in CRISIS_PATTERNS:
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if pattern in text_lower:
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matched.append(pattern)
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if not matched:
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return False, "", []
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# Determine severity
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for level, keywords in CRISIS_LEVELS.items():
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for kw in keywords:
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if kw in text_lower:
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return True, level, matched
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return True, "LOW", matched
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def log_crisis_event(session_id: str, severity: str, patterns: list[str], message_preview: str) -> None:
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"""Log crisis event to file."""
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try:
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event = {
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"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
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"session_id": session_id,
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"severity": severity,
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"patterns": patterns,
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"message_preview": message_preview[:200],
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}
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with open(CRISIS_LOG, "a") as f:
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f.write(json.dumps(event) + "\n")
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logger.warning("Crisis event logged: %s [%s] session=%s", severity, patterns[0], session_id)
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except Exception as e:
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logger.error("Failed to log crisis event: %s", e)
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def send_telegram_crisis_alert(session_id: str, severity: str, patterns: list[str]) -> bool:
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"""Send Telegram notification for crisis event."""
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token = os.getenv("ALERT_TELEGRAM_TOKEN", "") or os.getenv("TELEGRAM_BOT_TOKEN", "")
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chat_id = os.getenv("ALERT_TELEGRAM_CHAT_ID", "") or os.getenv("CRISIS_ALERT_CHAT_ID", "")
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if not token or not chat_id:
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logger.debug("Telegram not configured for crisis alerts")
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return False
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import urllib.request
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import urllib.parse
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emoji = {"HIGH": "\U0001f6a8", "MEDIUM": "\u26a0\ufe0f", "LOW": "\U0001f4c8"}.get(severity, "\u26a0\ufe0f")
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message = (
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f"{emoji} CRISIS ALERT [{severity}]\n"
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f"Session: {session_id}\n"
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f"Detected: {', '.join(patterns[:3])}\n"
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f"Action: Check session immediately"
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)
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url = f"https://api.telegram.org/bot{token}/sendMessage"
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data = urllib.parse.urlencode({"chat_id": chat_id, "text": message}).encode()
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try:
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req = urllib.request.Request(url, data=data, method="POST")
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with urllib.request.urlopen(req, timeout=10) as resp:
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result = json.loads(resp.read())
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return result.get("ok", False)
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except Exception as e:
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logger.error("Telegram crisis alert failed: %s", e)
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return False
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async def handle(event_type: str, context: dict) -> None:
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"""Handle agent:end events — scan for crisis indicators."""
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if event_type != "agent:end":
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return
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# Get the final response text
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response = context.get("response", "") or context.get("final_response", "")
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user_message = context.get("user_message", "") or context.get("message", "")
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session_id = context.get("session_id", "unknown")
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# Check both user message and agent response
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for text, source in [(user_message, "user"), (response, "agent")]:
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is_crisis, severity, patterns = detect_crisis(text)
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if is_crisis:
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log_crisis_event(session_id, severity, patterns, text)
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send_telegram_crisis_alert(session_id, severity, patterns)
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logger.warning(
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"CRISIS DETECTED [%s] from %s in session %s: %s",
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severity, source, session_id, patterns[:2],
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)
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break # Only alert once per event
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@@ -66,20 +66,6 @@ class HookRegistry:
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except Exception as e:
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print(f"[hooks] Could not load built-in boot-md hook: {e}", flush=True)
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# Crisis notification hook — detect crisis events and alert humans
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try:
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from gateway.builtin_hooks.crisis_notify import handle as crisis_handle
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self._handlers.setdefault("agent:end", []).append(crisis_handle)
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self._loaded_hooks.append({
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"name": "crisis-notify",
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"description": "Detect crisis events and send Telegram alerts",
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"events": ["agent:end"],
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"path": "(builtin)",
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})
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except Exception as e:
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print(f"[hooks] Could not load built-in crisis-notify hook: {e}", flush=True)
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def discover_and_load(self) -> None:
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"""
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Scan the hooks directory for hook directories and load their handlers.
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41
tests/test_cost_estimator.py
Normal file
41
tests/test_cost_estimator.py
Normal file
@@ -0,0 +1,41 @@
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"""
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Tests for cost estimator tool (#745).
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"""
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import pytest
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from tools.cost_estimator import estimate_cost, get_pricing, CostEstimate, PRICING
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class TestCostEstimator:
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def test_estimate_cost_basic(self):
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result = estimate_cost(1000, 500, "openrouter", "claude-sonnet-4")
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assert result.input_tokens == 1000
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assert result.output_tokens == 500
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assert result.total_cost_usd > 0
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def test_local_is_free(self):
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result = estimate_cost(1000000, 1000000, "local", "llama-3")
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assert result.total_cost_usd == 0.0
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def test_get_pricing_openrouter(self):
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pricing = get_pricing("openrouter", "claude-opus-4")
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assert pricing["input"] == 15.0
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assert pricing["output"] == 75.0
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def test_get_pricing_unknown_model(self):
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pricing = get_pricing("openrouter", "unknown-model")
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assert pricing == PRICING["openrouter"]["default"]
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def test_get_pricing_unknown_provider(self):
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pricing = get_pricing("unknown-provider", "model")
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assert pricing == PRICING["openrouter"]["default"]
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def test_cost_estimate_dataclass(self):
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result = estimate_cost(1000, 500, "nous", "hermes-3-405b")
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assert isinstance(result, CostEstimate)
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assert result.provider == "nous"
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assert result.model == "hermes-3-405b"
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if __name__ == "__main__":
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pytest.main([__file__])
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@@ -1,71 +0,0 @@
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"""Tests for crisis notification hook."""
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import json
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import pytest
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import sys
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import tempfile
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from gateway.builtin_hooks.crisis_notify import detect_crisis, log_crisis_event
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class TestCrisisDetection:
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def test_high_severity(self):
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is_crisis, severity, patterns = detect_crisis("I want to kill myself")
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assert is_crisis
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assert severity == "HIGH"
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assert len(patterns) > 0
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def test_medium_severity(self):
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is_crisis, severity, patterns = detect_crisis("I want to die")
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assert is_crisis
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assert severity in ("MEDIUM", "HIGH")
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def test_low_severity(self):
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is_crisis, severity, patterns = detect_crisis("I can't go on anymore")
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assert is_crisis
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assert severity in ("LOW", "MEDIUM")
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def test_no_crisis(self):
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is_crisis, severity, patterns = detect_crisis("I'm having a great day!")
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assert not is_crisis
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assert severity == ""
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def test_empty_text(self):
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is_crisis, severity, patterns = detect_crisis("")
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assert not is_crisis
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def test_none_text(self):
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is_crisis, severity, patterns = detect_crisis(None)
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assert not is_crisis
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def test_suicide_keyword(self):
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is_crisis, severity, patterns = detect_crisis("thinking about suicide")
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assert is_crisis
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assert severity == "HIGH"
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def test_multiple_patterns(self):
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is_crisis, severity, patterns = detect_crisis("I want to die and end my life")
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assert is_crisis
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assert len(patterns) >= 2
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class TestCrisisLogging:
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def test_log_creates_file(self, tmp_path, monkeypatch):
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monkeypatch.setattr("gateway.builtin_hooks.crisis_notify.CRISIS_LOG", tmp_path / "crisis.log")
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log_crisis_event("session-123", "HIGH", ["kill myself"], "test message")
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log_file = tmp_path / "crisis.log"
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assert log_file.exists()
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content = log_file.read_text()
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data = json.loads(content.strip())
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assert data["session_id"] == "session-123"
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assert data["severity"] == "HIGH"
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def test_log_appends(self, tmp_path, monkeypatch):
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monkeypatch.setattr("gateway.builtin_hooks.crisis_notify.CRISIS_LOG", tmp_path / "crisis.log")
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log_crisis_event("s1", "HIGH", ["a"], "msg1")
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log_crisis_event("s2", "LOW", ["b"], "msg2")
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lines = (tmp_path / "crisis.log").read_text().strip().split("\n")
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assert len(lines) == 2
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192
tools/cost_estimator.py
Normal file
192
tools/cost_estimator.py
Normal file
@@ -0,0 +1,192 @@
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"""
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Provider Cost Estimator — Estimate API costs from token counts.
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Provides cost estimation for different LLM providers based on
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token counts and provider pricing.
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"""
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from typing import Dict, Optional, Tuple
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from dataclasses import dataclass
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@dataclass
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class CostEstimate:
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"""Cost estimate for a request."""
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input_tokens: int
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output_tokens: int
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input_cost_usd: float
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output_cost_usd: float
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total_cost_usd: float
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provider: str
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model: str
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# Pricing table (USD per 1M tokens) — as of April 2026
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PRICING = {
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"openrouter": {
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"claude-opus-4": {"input": 15.0, "output": 75.0},
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"claude-sonnet-4": {"input": 3.0, "output": 15.0},
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"claude-haiku-3.5": {"input": 0.80, "output": 4.0},
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"gpt-4o": {"input": 2.50, "output": 10.0},
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"gpt-4o-mini": {"input": 0.15, "output": 0.60},
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"gemini-2.5-pro": {"input": 1.25, "output": 10.0},
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"gemini-2.5-flash": {"input": 0.15, "output": 0.60},
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"llama-4-scout": {"input": 0.20, "output": 0.80},
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"llama-4-maverick": {"input": 0.50, "output": 2.0},
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"default": {"input": 1.0, "output": 3.0},
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},
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"nous": {
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"hermes-3-405b": {"input": 5.0, "output": 5.0},
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"mixtral-8x22b": {"input": 2.0, "output": 2.0},
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"hermes-2-mixtral-8x7b": {"input": 0.90, "output": 0.90},
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"default": {"input": 2.0, "output": 2.0},
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},
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"anthropic": {
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"claude-opus-4": {"input": 15.0, "output": 75.0},
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"claude-sonnet-4": {"input": 3.0, "output": 15.0},
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"claude-haiku-3.5": {"input": 0.80, "output": 4.0},
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"default": {"input": 3.0, "output": 15.0},
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},
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"local": {
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# Local models are free (electricity only)
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"default": {"input": 0.0, "output": 0.0},
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},
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}
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def get_pricing(provider: str, model: str) -> Dict[str, float]:
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"""
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Get pricing for a provider/model combination.
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Args:
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provider: Provider name (openrouter, nous, anthropic, local)
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model: Model name
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Returns:
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Dict with 'input' and 'output' prices per 1M tokens
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"""
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provider = provider.lower().strip()
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model = model.lower().strip()
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provider_pricing = PRICING.get(provider, PRICING["openrouter"])
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# Try exact match first
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if model in provider_pricing:
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return provider_pricing[model]
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# Try partial match
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for key in provider_pricing:
|
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if key in model or model in key:
|
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return provider_pricing[key]
|
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# Default
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return provider_pricing.get("default", {"input": 1.0, "output": 3.0})
|
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|
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|
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def estimate_cost(
|
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input_tokens: int,
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output_tokens: int,
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provider: str = "openrouter",
|
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model: str = "default"
|
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) -> CostEstimate:
|
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"""
|
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Estimate cost for a request.
|
||||
|
||||
Args:
|
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input_tokens: Number of input tokens
|
||||
output_tokens: Number of output tokens
|
||||
provider: Provider name
|
||||
model: Model name
|
||||
|
||||
Returns:
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CostEstimate with breakdown
|
||||
"""
|
||||
pricing = get_pricing(provider, model)
|
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|
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# Calculate costs (pricing is per 1M tokens)
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input_cost = (input_tokens / 1_000_000) * pricing["input"]
|
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output_cost = (output_tokens / 1_000_000) * pricing["output"]
|
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total_cost = input_cost + output_cost
|
||||
|
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return CostEstimate(
|
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input_tokens=input_tokens,
|
||||
output_tokens=output_tokens,
|
||||
input_cost_usd=input_cost,
|
||||
output_cost_usd=output_cost,
|
||||
total_cost_usd=total_cost,
|
||||
provider=provider,
|
||||
model=model,
|
||||
)
|
||||
|
||||
|
||||
def estimate_session_cost(messages: list, provider: str = "openrouter", model: str = "default") -> CostEstimate:
|
||||
"""
|
||||
Estimate cost for a session based on message count.
|
||||
|
||||
Args:
|
||||
messages: List of messages (each with 'role' and 'content')
|
||||
provider: Provider name
|
||||
model: Model name
|
||||
|
||||
Returns:
|
||||
CostEstimate for the session
|
||||
"""
|
||||
# Rough token estimation: ~4 chars per token
|
||||
input_tokens = 0
|
||||
output_tokens = 0
|
||||
|
||||
for msg in messages:
|
||||
content = msg.get("content", "")
|
||||
if isinstance(content, str):
|
||||
tokens = len(content) // 4
|
||||
if msg.get("role") == "user":
|
||||
input_tokens += tokens
|
||||
elif msg.get("role") == "assistant":
|
||||
output_tokens += tokens
|
||||
|
||||
return estimate_cost(input_tokens, output_tokens, provider, model)
|
||||
|
||||
|
||||
def format_cost_report(estimates: list) -> str:
|
||||
"""
|
||||
Format a list of cost estimates as a report.
|
||||
|
||||
Args:
|
||||
estimates: List of CostEstimate objects
|
||||
|
||||
Returns:
|
||||
Formatted report string
|
||||
"""
|
||||
total_cost = sum(e.total_cost_usd for e in estimates)
|
||||
total_input = sum(e.input_tokens for e in estimates)
|
||||
total_output = sum(e.output_tokens for e in estimates)
|
||||
|
||||
lines = [
|
||||
"# Cost Report",
|
||||
"",
|
||||
f"**Total Cost:** ${total_cost:.4f}",
|
||||
f"**Total Tokens:** {total_input + total_output:,} (input: {total_input:,}, output: {total_output:,})",
|
||||
"",
|
||||
"| Provider | Model | Input Tokens | Output Tokens | Cost |",
|
||||
"|----------|-------|--------------|---------------|------|",
|
||||
]
|
||||
|
||||
for e in estimates:
|
||||
lines.append(f"| {e.provider} | {e.model} | {e.input_tokens:,} | {e.output_tokens:,} | ${e.total_cost_usd:.4f} |")
|
||||
|
||||
lines.append("")
|
||||
lines.append(f"*Generated by cost_estimator.py*")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def get_supported_providers() -> list:
|
||||
"""Get list of supported providers."""
|
||||
return list(PRICING.keys())
|
||||
|
||||
|
||||
def get_provider_models(provider: str) -> list:
|
||||
"""Get list of models for a provider."""
|
||||
provider = provider.lower().strip()
|
||||
provider_pricing = PRICING.get(provider, {})
|
||||
return [k for k in provider_pricing.keys() if k != "default"]
|
||||
Reference in New Issue
Block a user