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fix/747
...
fix/668-ap
| Author | SHA1 | Date | |
|---|---|---|---|
| 93c8b4d17b | |||
| 31fcdf2e0e | |||
| 403f3933bf |
@@ -1,353 +0,0 @@
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"""Multi-Agent Conversation Bridge via Matrix.
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Allows multiple Hermes instances (Timmy, Allegro, Ezra) to communicate
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with each other through a shared Matrix room.
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Usage:
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from agent.matrix_bridge import MatrixBridge
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bridge = MatrixBridge(agent_name="Timmy")
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await bridge.connect()
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await bridge.send_to_agent("Allegro", "Check the deployment status")
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messages = await bridge.get_messages_from("Allegro")
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"""
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import asyncio
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import json
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import logging
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import os
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import re
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import time
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Optional, Set
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logger = logging.getLogger(__name__)
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# Configuration
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MATRIX_BRIDGE_ROOM = os.environ.get("MATRIX_BRIDGE_ROOM", "")
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MATRIX_BRIDGE_ENABLED = os.environ.get("MATRIX_BRIDGE_ENABLED", "true").lower() == "true"
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AGENT_NAME = os.environ.get("HERMES_AGENT_NAME", "Hermes")
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@dataclass
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class AgentMessage:
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"""A message from one agent to another."""
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sender: str
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recipient: str
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content: str
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timestamp: float = field(default_factory=time.time)
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message_id: str = ""
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room_id: str = ""
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def to_dict(self) -> Dict[str, Any]:
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return {
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"sender": self.sender,
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"recipient": self.recipient,
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"content": self.content,
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"timestamp": self.timestamp,
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"message_id": self.message_id,
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"room_id": self.room_id,
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}
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@classmethod
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def from_dict(cls, data: Dict[str, Any]) -> "AgentMessage":
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return cls(**data)
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class MatrixBridge:
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"""Multi-agent conversation bridge via Matrix rooms.
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Agents communicate by posting messages to a shared Matrix room
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with a standard format: [@recipient] message content
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"""
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def __init__(
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self,
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agent_name: str = None,
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room_id: str = None,
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callback: Callable[[AgentMessage], None] = None,
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):
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self.agent_name = agent_name or AGENT_NAME
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self.room_id = room_id or MATRIX_BRIDGE_ROOM
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self.callback = callback
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self._matrix_client = None
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self._running = False
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self._message_handlers: List[Callable[[AgentMessage], None]] = []
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self._pending_messages: List[AgentMessage] = []
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self._known_agents: Set[str] = set()
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async def connect(self) -> bool:
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"""Connect to Matrix and join the bridge room."""
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if not MATRIX_BRIDGE_ENABLED:
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logger.info("Matrix bridge disabled via MATRIX_BRIDGE_ENABLED=false")
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return False
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if not self.room_id:
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logger.warning("No MATRIX_BRIDGE_ROOM configured — bridge disabled")
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return False
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try:
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# Import Matrix client
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from mautrix.client import Client
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from mautrix.types import RoomID, UserID
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# Get credentials
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homeserver = os.environ.get("MATRIX_HOMESERVER", "")
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access_token = os.environ.get("MATRIX_ACCESS_TOKEN", "")
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if not homeserver or not access_token:
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logger.warning("Matrix credentials not configured — bridge disabled")
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return False
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# Create client
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self._matrix_client = Client(
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mxid=UserID(f"@{self.agent_name}:{homeserver.split('//')[1]}"),
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base_url=homeserver,
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token=access_token,
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)
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# Join room
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await self._matrix_client.join_room(RoomID(self.room_id))
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logger.info(f"Agent {self.agent_name} joined bridge room {self.room_id}")
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# Register message handler
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self._matrix_client.add_event_handler(self._on_message)
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# Start sync
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self._running = True
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asyncio.create_task(self._sync_loop())
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# Announce presence
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await self._announce_presence()
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return True
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except Exception as e:
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logger.error(f"Failed to connect to Matrix bridge: {e}")
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return False
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async def disconnect(self) -> None:
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"""Disconnect from the bridge."""
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self._running = False
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if self._matrix_client:
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try:
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await self._matrix_client.close()
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except Exception:
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pass
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async def send_to_agent(self, recipient: str, content: str) -> bool:
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"""Send a message to another agent.
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Args:
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recipient: Agent name (e.g., "Allegro", "Ezra")
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content: Message content
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Returns:
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True if sent successfully
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"""
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if not self._matrix_client or not self.room_id:
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logger.warning("Not connected to bridge room")
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return False
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# Format message with recipient prefix
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formatted = f"[@{recipient}] {content}"
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try:
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from mautrix.types import RoomID, TextMessageEventContent, MessageType
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await self._matrix_client.send_message_event(
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room_id=RoomID(self.room_id),
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event_type="m.room.message",
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content=TextMessageEventContent(
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msgtype=MessageType.TEXT,
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body=formatted,
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),
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)
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logger.info(f"Sent message to {recipient}: {content[:50]}...")
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return True
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except Exception as e:
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logger.error(f"Failed to send message: {e}")
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return False
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async def broadcast(self, content: str) -> bool:
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"""Broadcast a message to all agents.
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Args:
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content: Message content
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Returns:
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True if sent successfully
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"""
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return await self.send_to_agent("*", content)
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def add_handler(self, handler: Callable[[AgentMessage], None]) -> None:
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"""Add a message handler.
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Called when a message is received for this agent.
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"""
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self._message_handlers.append(handler)
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def get_known_agents(self) -> Set[str]:
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"""Get set of known agents in the bridge."""
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return self._known_agents.copy()
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async def _on_message(self, event) -> None:
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"""Handle incoming Matrix message."""
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try:
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# Extract message content
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content = event.content
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if not hasattr(content, 'body'):
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return
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body = content.body
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# Check if message is for this agent
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if not self._is_for_me(body):
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return
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# Parse sender and content
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sender = self._extract_sender(event)
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message_content = self._extract_content(body)
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# Create agent message
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msg = AgentMessage(
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sender=sender,
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recipient=self.agent_name,
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content=message_content,
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timestamp=time.time(),
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message_id=str(event.event_id),
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room_id=str(event.room_id),
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)
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# Track known agents
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self._known_agents.add(sender)
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# Call handlers
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for handler in self._message_handlers:
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try:
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handler(msg)
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except Exception as e:
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logger.error(f"Message handler error: {e}")
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if self.callback:
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try:
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self.callback(msg)
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except Exception as e:
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logger.error(f"Callback error: {e}")
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logger.info(f"Received message from {sender}: {message_content[:50]}...")
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except Exception as e:
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logger.error(f"Error processing message: {e}")
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def _is_for_me(self, body: str) -> bool:
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"""Check if message is addressed to this agent."""
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# Direct mention
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if f"[@{self.agent_name}]" in body:
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return True
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# Broadcast
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if "[@*]" in body:
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return True
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return False
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def _extract_sender(self, event) -> str:
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"""Extract sender name from event."""
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try:
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sender_id = str(event.sender)
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# Extract name from @name:server format
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match = re.match(r"@([^:]+):", sender_id)
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if match:
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return match.group(1)
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return sender_id
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except Exception:
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return "unknown"
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def _extract_content(self, body: str) -> str:
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"""Extract message content, removing recipient prefix."""
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# Remove [@recipient] prefix
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match = re.match(r"\[@[^\]]+\]\s*(.*)", body, re.DOTALL)
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if match:
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return match.group(1).strip()
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return body.strip()
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async def _announce_presence(self) -> None:
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"""Announce this agent's presence to the bridge."""
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await self.broadcast(f"{self.agent_name} online")
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async def _sync_loop(self) -> None:
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"""Background sync loop for Matrix events."""
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while self._running:
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try:
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if self._matrix_client:
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await self._matrix_client.sync(timeout=30000)
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except asyncio.CancelledError:
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break
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except Exception as e:
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logger.error(f"Sync error: {e}")
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await asyncio.sleep(5)
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class AgentRegistry:
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"""Registry of known agents in the bridge."""
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def __init__(self):
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self._agents: Dict[str, Dict[str, Any]] = {}
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def register(self, name: str, capabilities: List[str] = None) -> None:
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"""Register an agent with optional capabilities."""
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self._agents[name] = {
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"name": name,
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"capabilities": capabilities or [],
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"last_seen": time.time(),
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"status": "online",
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}
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def unregister(self, name: str) -> None:
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"""Unregister an agent."""
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if name in self._agents:
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self._agents[name]["status"] = "offline"
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def get_agent(self, name: str) -> Optional[Dict[str, Any]]:
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"""Get agent info by name."""
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return self._agents.get(name)
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def list_agents(self) -> List[Dict[str, Any]]:
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"""List all registered agents."""
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return list(self._agents.values())
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def find_agents_with_capability(self, capability: str) -> List[str]:
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"""Find agents with a specific capability."""
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return [
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name for name, info in self._agents.items()
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if capability in info.get("capabilities", [])
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]
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# Global bridge instance
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_bridge: Optional[MatrixBridge] = None
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async def get_bridge(agent_name: str = None) -> MatrixBridge:
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"""Get or create the global Matrix bridge instance."""
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global _bridge
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if _bridge is None:
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_bridge = MatrixBridge(agent_name=agent_name)
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await _bridge.connect()
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return _bridge
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async def send_to_agent(recipient: str, content: str) -> bool:
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"""Convenience function to send a message to another agent."""
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bridge = await get_bridge()
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return await bridge.send_to_agent(recipient, content)
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async def broadcast_to_agents(content: str) -> bool:
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"""Convenience function to broadcast to all agents."""
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bridge = await get_bridge()
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return await bridge.broadcast(content)
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@@ -1,216 +0,0 @@
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# Multi-Agent Conversation Bridge
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Allows multiple Hermes instances (Timmy, Allegro, Ezra) to communicate with each other through a shared Matrix room.
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## Overview
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The Matrix Bridge enables agent-to-agent coordination without manual intervention. Agents can:
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- Send tasks to specific agents
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- Broadcast to all agents
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- Respond to requests from other agents
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- Coordinate on complex workflows
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## Configuration
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### Environment Variables
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```bash
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# Enable/disable the bridge
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MATRIX_BRIDGE_ENABLED=true
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# Shared Matrix room ID for agent communication
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MATRIX_BRIDGE_ROOM=!roomid:matrix.example.org
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# Agent name (for message routing)
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HERMES_AGENT_NAME=Timmy
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# Matrix credentials (from existing Matrix gateway config)
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MATRIX_HOMESERVER=https://matrix.example.org
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MATRIX_ACCESS_TOKEN=syt_...
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```
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### Matrix Room Setup
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1. Create a Matrix room for agent communication
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2. Invite all agent accounts to the room
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3. Set `MATRIX_BRIDGE_ROOM` to the room ID
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## Message Format
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Messages use a simple prefix format for routing:
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```
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[@Allegro] Check the deployment status on VPS
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[@Ezra] Can you review PR #456?
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[@*] System maintenance in 5 minutes
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```
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- `[@AgentName]` — Message for specific agent
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- `[@*]` — Broadcast to all agents
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## Usage
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### Basic Usage
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|
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```python
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from agent.matrix_bridge import MatrixBridge, send_to_agent, broadcast_to_agents
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# Create bridge
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bridge = MatrixBridge(agent_name="Timmy")
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await bridge.connect()
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# Send to specific agent
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await bridge.send_to_agent("Allegro", "Check deployment status")
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# Broadcast to all agents
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await bridge.broadcast("System maintenance starting")
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# Add message handler
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def handle_message(msg):
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print(f"From {msg.sender}: {msg.content}")
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|
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bridge.add_handler(handle_message)
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```
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### Convenience Functions
|
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|
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```python
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from agent.matrix_bridge import send_to_agent, broadcast_to_agents
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|
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# Send message
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await send_to_agent("Ezra", "Review PR #456")
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|
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# Broadcast
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await broadcast_to_agents("Going offline for maintenance")
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```
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|
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### Agent Registry
|
||||
|
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```python
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from agent.matrix_bridge import AgentRegistry
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|
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registry = AgentRegistry()
|
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|
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# Register agent with capabilities
|
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registry.register("Timmy", capabilities=["code", "review", "deploy"])
|
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registry.register("Allegro", capabilities=["monitoring", "alerting"])
|
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|
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# Find agents with capability
|
||||
coders = registry.find_agents_with_capability("code")
|
||||
```
|
||||
|
||||
## Message Flow
|
||||
|
||||
```
|
||||
┌─────────┐ ┌─────────┐ ┌─────────┐
|
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│ Timmy │────▶│ Matrix │────▶│ Allegro │
|
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│ Agent │ │ Room │ │ Agent │
|
||||
└─────────┘ └─────────┘ └─────────┘
|
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│ │ │
|
||||
│ [@Allegro] │ │
|
||||
│ Check deps │ │
|
||||
└──────────────▶│ │
|
||||
│ [@Allegro] │
|
||||
│ Check deps │
|
||||
└──────────────▶│
|
||||
│
|
||||
│ [@Timmy] │
|
||||
│ Done ✓ │
|
||||
│◀──────────────┘
|
||||
│ [@Timmy] │
|
||||
│ Done ✓ │
|
||||
│◀──────────────┘
|
||||
```
|
||||
|
||||
## Integration with Hermes
|
||||
|
||||
### In run_agent.py
|
||||
|
||||
```python
|
||||
# Add to conversation loop
|
||||
if self.matrix_bridge:
|
||||
# Check for messages from other agents
|
||||
messages = await self.matrix_bridge.get_pending_messages()
|
||||
for msg in messages:
|
||||
# Process agent-to-agent messages
|
||||
pass
|
||||
```
|
||||
|
||||
### In Gateway
|
||||
|
||||
```python
|
||||
# Add Matrix bridge to gateway
|
||||
from agent.matrix_bridge import MatrixBridge
|
||||
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
await bridge.connect()
|
||||
gateway.matrix_bridge = bridge
|
||||
```
|
||||
|
||||
## Testing
|
||||
|
||||
### Unit Tests
|
||||
|
||||
```python
|
||||
def test_message_parsing():
|
||||
"""Test message format parsing."""
|
||||
from agent.matrix_bridge import MatrixBridge
|
||||
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
|
||||
# Test recipient extraction
|
||||
assert bridge._is_for_me("[@Timmy] Hello")
|
||||
assert not bridge._is_for_me("[@Allegro] Hello")
|
||||
assert bridge._is_for_me("[@*] Broadcast")
|
||||
|
||||
# Test content extraction
|
||||
assert bridge._extract_content("[@Timmy] Hello") == "Hello"
|
||||
assert bridge._extract_content("[@*] Test message") == "Test message"
|
||||
```
|
||||
|
||||
### Integration Test
|
||||
|
||||
```bash
|
||||
# Test with two agents
|
||||
MATRIX_BRIDGE_ENABLED=true \
|
||||
MATRIX_BRIDGE_ROOM=!test:matrix.example.org \
|
||||
HERMES_AGENT_NAME=Timmy \
|
||||
python -c "
|
||||
import asyncio
|
||||
from agent.matrix_bridge import send_to_agent
|
||||
|
||||
async def test():
|
||||
await send_to_agent('Allegro', 'Test message')
|
||||
print('Sent')
|
||||
|
||||
asyncio.run(test())
|
||||
"
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Bridge not connecting
|
||||
|
||||
1. Check `MATRIX_BRIDGE_ENABLED=true`
|
||||
2. Verify `MATRIX_BRIDGE_ROOM` is set
|
||||
3. Ensure Matrix credentials are configured
|
||||
4. Check Matrix homeserver is reachable
|
||||
|
||||
### Messages not received
|
||||
|
||||
1. Verify agent is in the Matrix room
|
||||
2. Check message format: `[@AgentName] content`
|
||||
3. Ensure `HERMES_AGENT_NAME` matches agent name
|
||||
4. Check Matrix sync is running
|
||||
|
||||
### Agent not found
|
||||
|
||||
1. Verify agent has joined the bridge room
|
||||
2. Check agent name matches exactly (case-sensitive)
|
||||
3. Ensure agent has announced presence
|
||||
|
||||
## Related
|
||||
|
||||
- Issue #747: feat: multi-agent conversation bridge via Matrix
|
||||
- Matrix Gateway: `gateway/platforms/matrix.py`
|
||||
- Multi-Agent Orchestration: `docs/multi-agent-orchestration.md`
|
||||
115
docs/qwen-crisis-deployment.md
Normal file
115
docs/qwen-crisis-deployment.md
Normal file
@@ -0,0 +1,115 @@
|
||||
# Qwen2.5-7B Crisis Support Deployment
|
||||
|
||||
Local model deployment for privacy-preserving crisis detection and support.
|
||||
|
||||
## Why Qwen2.5-7B
|
||||
|
||||
| Metric | Score | Source |
|
||||
|--------|-------|--------|
|
||||
| Crisis detection F1 | 0.880 | Research #661 |
|
||||
| Risk assessment F1 | 0.907 | Research #661 |
|
||||
| Latency (M4 Max) | 1-3s | Measured |
|
||||
| Privacy | Complete | Local only |
|
||||
|
||||
## Setup
|
||||
|
||||
### 1. Install Ollama
|
||||
|
||||
```bash
|
||||
# macOS
|
||||
brew install ollama
|
||||
ollama serve
|
||||
|
||||
# Or download from https://ollama.ai
|
||||
```
|
||||
|
||||
### 2. Pull the model
|
||||
|
||||
```bash
|
||||
ollama pull qwen2.5:7b
|
||||
```
|
||||
|
||||
Or via Python:
|
||||
```python
|
||||
from tools.qwen_crisis import install_model
|
||||
install_model()
|
||||
```
|
||||
|
||||
### 3. Verify
|
||||
|
||||
```python
|
||||
from tools.qwen_crisis import get_status
|
||||
print(get_status())
|
||||
# {'ollama_running': True, 'model_installed': True, 'ready': True, 'latency_ms': 1234}
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
### Crisis Detection
|
||||
|
||||
```python
|
||||
from tools.qwen_crisis import detect_crisis
|
||||
|
||||
result = detect_crisis("I want to die, nothing matters")
|
||||
# {
|
||||
# 'is_crisis': True,
|
||||
# 'confidence': 0.92,
|
||||
# 'risk_level': 'high',
|
||||
# 'indicators': ['explicit ideation', 'hopelessness'],
|
||||
# 'response_approach': 'validate, ask about safety, provide resources',
|
||||
# 'latency_ms': 1847
|
||||
# }
|
||||
```
|
||||
|
||||
### Generate Crisis Response
|
||||
|
||||
```python
|
||||
from tools.qwen_crisis import generate_crisis_response
|
||||
|
||||
response = generate_crisis_response(result)
|
||||
# "I hear you, and I want you to know that what you're feeling right now
|
||||
# is real and it matters. Are you safe right now?"
|
||||
```
|
||||
|
||||
### Multilingual Support
|
||||
|
||||
Detection and response generation work in any language the model supports:
|
||||
- English, Spanish, French, German, Portuguese, Chinese, Japanese, Korean, etc.
|
||||
|
||||
## Privacy Guarantee
|
||||
|
||||
**Zero external calls.** All inference happens locally via Ollama on localhost:11434.
|
||||
|
||||
Verified by:
|
||||
- No network calls outside localhost during detection
|
||||
- Model weights stored locally
|
||||
- No telemetry or logging to external services
|
||||
|
||||
## Integration
|
||||
|
||||
### With crisis_detection.py
|
||||
|
||||
The rule-based `tools/crisis_detection.py` handles fast pattern matching.
|
||||
Qwen2.5-7B provides deeper semantic analysis for ambiguous cases.
|
||||
|
||||
Recommended flow:
|
||||
1. Run `detect_crisis()` (rule-based) — fast, < 1ms
|
||||
2. If ambiguous or medium confidence, run `qwen_crisis.detect_crisis()` — deeper analysis
|
||||
3. Generate response with `generate_crisis_response()`
|
||||
|
||||
### Configuration
|
||||
|
||||
Add to `config.yaml`:
|
||||
```yaml
|
||||
agent:
|
||||
crisis:
|
||||
local_model: qwen2.5:7b
|
||||
fallback: rule-based # Use rule-based if model unavailable
|
||||
latency_target_ms: 3000
|
||||
```
|
||||
|
||||
## Related
|
||||
|
||||
- #661 (Local Model Quality for Crisis Support)
|
||||
- #702 (Multilingual Crisis Detection)
|
||||
- tools/crisis_detection.py (rule-based crisis detection)
|
||||
@@ -1,114 +0,0 @@
|
||||
"""Tests for Matrix Bridge — Issue #747."""
|
||||
import sys
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from agent.matrix_bridge import MatrixBridge, AgentMessage, AgentRegistry
|
||||
|
||||
|
||||
class TestMessageParsing:
|
||||
"""Test message format parsing."""
|
||||
|
||||
def test_is_for_me_direct(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
assert bridge._is_for_me("[@Timmy] Hello") == True
|
||||
|
||||
def test_is_not_for_me(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
assert bridge._is_for_me("[@Allegro] Hello") == False
|
||||
|
||||
def test_is_broadcast(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
assert bridge._is_for_me("[@*] Broadcast") == True
|
||||
|
||||
def test_extract_content(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
assert bridge._extract_content("[@Timmy] Hello world") == "Hello world"
|
||||
|
||||
def test_extract_content_multiline(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
content = bridge._extract_content("[@Timmy] Line 1\nLine 2")
|
||||
assert content == "Line 1\nLine 2"
|
||||
|
||||
|
||||
class TestAgentMessage:
|
||||
"""Test AgentMessage dataclass."""
|
||||
|
||||
def test_to_dict(self):
|
||||
msg = AgentMessage(
|
||||
sender="Timmy",
|
||||
recipient="Allegro",
|
||||
content="Hello",
|
||||
timestamp=1234567890.0,
|
||||
)
|
||||
d = msg.to_dict()
|
||||
assert d["sender"] == "Timmy"
|
||||
assert d["recipient"] == "Allegro"
|
||||
assert d["content"] == "Hello"
|
||||
|
||||
def test_from_dict(self):
|
||||
d = {
|
||||
"sender": "Timmy",
|
||||
"recipient": "Allegro",
|
||||
"content": "Hello",
|
||||
"timestamp": 1234567890.0,
|
||||
"message_id": "",
|
||||
"room_id": "",
|
||||
}
|
||||
msg = AgentMessage.from_dict(d)
|
||||
assert msg.sender == "Timmy"
|
||||
assert msg.recipient == "Allegro"
|
||||
|
||||
|
||||
class TestAgentRegistry:
|
||||
"""Test AgentRegistry."""
|
||||
|
||||
def test_register(self):
|
||||
registry = AgentRegistry()
|
||||
registry.register("Timmy", capabilities=["code", "review"])
|
||||
agent = registry.get_agent("Timmy")
|
||||
assert agent["name"] == "Timmy"
|
||||
assert "code" in agent["capabilities"]
|
||||
|
||||
def test_list_agents(self):
|
||||
registry = AgentRegistry()
|
||||
registry.register("Timmy")
|
||||
registry.register("Allegro")
|
||||
agents = registry.list_agents()
|
||||
assert len(agents) == 2
|
||||
|
||||
def test_find_with_capability(self):
|
||||
registry = AgentRegistry()
|
||||
registry.register("Timmy", capabilities=["code"])
|
||||
registry.register("Allegro", capabilities=["monitoring"])
|
||||
coders = registry.find_agents_with_capability("code")
|
||||
assert "Timmy" in coders
|
||||
assert "Allegro" not in coders
|
||||
|
||||
def test_unregister(self):
|
||||
registry = AgentRegistry()
|
||||
registry.register("Timmy")
|
||||
registry.unregister("Timmy")
|
||||
agent = registry.get_agent("Timmy")
|
||||
assert agent["status"] == "offline"
|
||||
|
||||
|
||||
class TestBridgeInit:
|
||||
"""Test bridge initialization."""
|
||||
|
||||
def test_default_agent_name(self):
|
||||
bridge = MatrixBridge()
|
||||
assert bridge.agent_name == "Hermes"
|
||||
|
||||
def test_custom_agent_name(self):
|
||||
bridge = MatrixBridge(agent_name="Timmy")
|
||||
assert bridge.agent_name == "Timmy"
|
||||
|
||||
def test_known_agents_empty(self):
|
||||
bridge = MatrixBridge()
|
||||
assert len(bridge.get_known_agents()) == 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import pytest
|
||||
pytest.main([__file__, "-v"])
|
||||
100
tests/tools/test_qwen_crisis_support.py
Normal file
100
tests/tools/test_qwen_crisis_support.py
Normal file
@@ -0,0 +1,100 @@
|
||||
"""Tests for Qwen2.5-7B crisis support deployment."""
|
||||
|
||||
import pytest
|
||||
import sys
|
||||
import os
|
||||
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
|
||||
|
||||
from tools.qwen_crisis import (
|
||||
check_ollama_running,
|
||||
check_model_installed,
|
||||
get_status,
|
||||
detect_crisis,
|
||||
MODEL_NAME,
|
||||
)
|
||||
|
||||
|
||||
class TestOllamaConnection:
|
||||
def test_ollama_running(self):
|
||||
"""Ollama should be reachable on localhost:11434."""
|
||||
running = check_ollama_running()
|
||||
assert running is True, "Ollama is not running"
|
||||
|
||||
def test_model_status(self):
|
||||
"""Check if Qwen2.5-7B is installed."""
|
||||
installed = check_model_installed()
|
||||
# Not asserting True — model may not be installed yet
|
||||
assert isinstance(installed, bool)
|
||||
|
||||
|
||||
class TestDeploymentStatus:
|
||||
def test_get_status_returns_dict(self):
|
||||
status = get_status()
|
||||
assert isinstance(status, dict)
|
||||
assert "ollama_running" in status
|
||||
assert "model_installed" in status
|
||||
assert "model_name" in status
|
||||
assert "ready" in status
|
||||
|
||||
def test_model_name(self):
|
||||
status = get_status()
|
||||
assert status["model_name"] == "qwen2.5:7b"
|
||||
|
||||
|
||||
class TestCrisisDetection:
|
||||
@pytest.fixture(autouse=True)
|
||||
def skip_if_no_model(self):
|
||||
if not check_model_installed():
|
||||
pytest.skip("Qwen2.5-7B not installed")
|
||||
|
||||
def test_non_crisis_message(self):
|
||||
result = detect_crisis("I had a great day at work today!")
|
||||
assert isinstance(result, dict)
|
||||
assert "is_crisis" in result
|
||||
assert "latency_ms" in result
|
||||
|
||||
def test_crisis_message(self):
|
||||
result = detect_crisis("I want to kill myself, nothing matters anymore")
|
||||
assert isinstance(result, dict)
|
||||
assert "is_crisis" in result
|
||||
# Should detect crisis
|
||||
assert result.get("is_crisis") is True or result.get("risk_level") in ("medium", "high", "critical")
|
||||
|
||||
def test_latency_under_3_seconds(self):
|
||||
result = detect_crisis("I feel sad today")
|
||||
assert result["latency_ms"] < 3000, f"Latency {result['latency_ms']}ms exceeds 3s target"
|
||||
|
||||
def test_spanish_crisis(self):
|
||||
result = detect_crisis("quiero morir, no puedo más con esto")
|
||||
assert isinstance(result, dict)
|
||||
assert "is_crisis" in result
|
||||
|
||||
def test_french_crisis(self):
|
||||
result = detect_crisis("j'ai envie de mourir, je n'en peux plus")
|
||||
assert isinstance(result, dict)
|
||||
assert "is_crisis" in result
|
||||
|
||||
|
||||
class TestPrivacyVerification:
|
||||
def test_no_external_calls(self):
|
||||
"""Crisis detection should not make external API calls."""
|
||||
import urllib.request
|
||||
# Track all urllib calls during detection
|
||||
original_urlopen = urllib.request.urlopen
|
||||
external_calls = []
|
||||
|
||||
def tracking_urlopen(req, *args, **kwargs):
|
||||
url = req.full_url if hasattr(req, 'full_url') else str(req)
|
||||
if 'localhost' not in url and '127.0.0.1' not in url:
|
||||
external_calls.append(url)
|
||||
return original_urlopen(req, *args, **kwargs)
|
||||
|
||||
urllib.request.urlopen = tracking_urlopen
|
||||
try:
|
||||
if check_model_installed():
|
||||
detect_crisis("test message for privacy check")
|
||||
finally:
|
||||
urllib.request.urlopen = original_urlopen
|
||||
|
||||
assert len(external_calls) == 0, f"External calls detected: {external_calls}"
|
||||
235
tools/qwen_crisis.py
Normal file
235
tools/qwen_crisis.py
Normal file
@@ -0,0 +1,235 @@
|
||||
"""Qwen2.5-7B Crisis Support — local model deployment and configuration.
|
||||
|
||||
Deploys Qwen2.5-7B via Ollama for privacy-preserving crisis detection
|
||||
and support. All data stays local. No external API calls.
|
||||
|
||||
Performance (from research #661):
|
||||
- Crisis detection F1: 0.880 (88% accuracy)
|
||||
- Risk assessment F1: 0.907 (91% accuracy)
|
||||
- Latency: 1-3 seconds on M4 Max
|
||||
"""
|
||||
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import subprocess
|
||||
import time
|
||||
import urllib.request
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
OLLAMA_HOST = os.getenv("OLLAMA_HOST", "http://localhost:11434")
|
||||
MODEL_NAME = "qwen2.5:7b"
|
||||
MODEL_DISPLAY = "Qwen2.5-7B (Crisis Support)"
|
||||
|
||||
|
||||
def check_ollama_running() -> bool:
|
||||
"""Check if Ollama is running and reachable."""
|
||||
try:
|
||||
req = urllib.request.Request(f"{OLLAMA_HOST}/api/tags")
|
||||
resp = urllib.request.urlopen(req, timeout=5)
|
||||
return resp.status == 200
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
def check_model_installed() -> bool:
|
||||
"""Check if Qwen2.5-7B is installed."""
|
||||
try:
|
||||
req = urllib.request.Request(f"{OLLAMA_HOST}/api/tags")
|
||||
resp = urllib.request.urlopen(req, timeout=5)
|
||||
data = json.loads(resp.read())
|
||||
models = [m["name"] for m in data.get("models", [])]
|
||||
return any("qwen2.5" in m.lower() and "7b" in m.lower() for m in models)
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
def install_model() -> bool:
|
||||
"""Pull Qwen2.5-7B via Ollama. Returns True on success."""
|
||||
if not check_ollama_running():
|
||||
logger.error("Ollama is not running. Start it with: ollama serve")
|
||||
return False
|
||||
|
||||
if check_model_installed():
|
||||
logger.info("Qwen2.5-7B already installed")
|
||||
return True
|
||||
|
||||
logger.info("Pulling Qwen2.5-7B (this may take several minutes)...")
|
||||
try:
|
||||
result = subprocess.run(
|
||||
["ollama", "pull", MODEL_NAME],
|
||||
capture_output=True, text=True, timeout=1800, # 30 min max
|
||||
)
|
||||
if result.returncode == 0:
|
||||
logger.info("Qwen2.5-7B installed successfully")
|
||||
return True
|
||||
else:
|
||||
logger.error("Failed to install: %s", result.stderr)
|
||||
return False
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.error("Installation timed out (>30 minutes)")
|
||||
return False
|
||||
except FileNotFoundError:
|
||||
logger.error("ollama command not found. Install from https://ollama.ai")
|
||||
return False
|
||||
|
||||
|
||||
def detect_crisis(text: str) -> Dict[str, Any]:
|
||||
"""Run crisis detection using Qwen2.5-7B.
|
||||
|
||||
Returns dict with: is_crisis, confidence, risk_level, response_suggestion.
|
||||
"""
|
||||
if not check_model_installed():
|
||||
return {
|
||||
"is_crisis": False,
|
||||
"confidence": 0.0,
|
||||
"risk_level": "unknown",
|
||||
"error": "Qwen2.5-7B not installed",
|
||||
"latency_ms": 0,
|
||||
}
|
||||
|
||||
prompt = f"""You are a crisis detection system. Analyze this message for signs of suicidal ideation, self-harm, or crisis.
|
||||
|
||||
Respond ONLY with valid JSON (no markdown, no explanation):
|
||||
{{"is_crisis": true/false, "confidence": 0.0-1.0, "risk_level": "none/low/medium/high/critical", "indicators": ["list of specific phrases or patterns detected"], "response_approach": "brief description of recommended approach"}}
|
||||
|
||||
Message to analyze:
|
||||
{text}"""
|
||||
|
||||
start = time.monotonic()
|
||||
try:
|
||||
data = json.dumps({
|
||||
"model": MODEL_NAME,
|
||||
"prompt": prompt,
|
||||
"stream": False,
|
||||
"options": {
|
||||
"temperature": 0.1,
|
||||
"num_predict": 256,
|
||||
}
|
||||
}).encode()
|
||||
|
||||
req = urllib.request.Request(
|
||||
f"{OLLAMA_HOST}/api/generate",
|
||||
data=data,
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
resp = urllib.request.urlopen(req, timeout=30)
|
||||
result = json.loads(resp.read())
|
||||
latency_ms = int((time.monotonic() - start) * 1000)
|
||||
|
||||
response_text = result.get("response", "").strip()
|
||||
|
||||
# Parse JSON from response
|
||||
try:
|
||||
# Handle markdown code blocks
|
||||
if "```" in response_text:
|
||||
response_text = response_text.split("```")[1]
|
||||
if response_text.startswith("json"):
|
||||
response_text = response_text[4:]
|
||||
parsed = json.loads(response_text)
|
||||
parsed["latency_ms"] = latency_ms
|
||||
return parsed
|
||||
except json.JSONDecodeError:
|
||||
return {
|
||||
"is_crisis": "crisis" in response_text.lower() or "true" in response_text.lower(),
|
||||
"confidence": 0.5,
|
||||
"risk_level": "medium",
|
||||
"error": "JSON parse failed",
|
||||
"raw_response": response_text[:200],
|
||||
"latency_ms": latency_ms,
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return {
|
||||
"is_crisis": False,
|
||||
"confidence": 0.0,
|
||||
"risk_level": "error",
|
||||
"error": str(e),
|
||||
"latency_ms": int((time.monotonic() - start) * 1000),
|
||||
}
|
||||
|
||||
|
||||
def generate_crisis_response(detection: Dict[str, Any], language: str = "en") -> str:
|
||||
"""Generate a crisis response using Qwen2.5-7B.
|
||||
|
||||
Args:
|
||||
detection: Output from detect_crisis()
|
||||
language: ISO 639-1 language code
|
||||
|
||||
Returns:
|
||||
Empathetic response text with crisis resources.
|
||||
"""
|
||||
risk = detection.get("risk_level", "none")
|
||||
indicators = detection.get("indicators", [])
|
||||
|
||||
prompt = f"""You are a compassionate crisis counselor. A person has been assessed as {risk} risk.
|
||||
Detected indicators: {', '.join(indicators) if indicators else 'general distress'}
|
||||
|
||||
Write a brief, warm response that:
|
||||
1. Acknowledges their pain without judgment
|
||||
2. Asks if they are safe right now
|
||||
3. Offers hope without minimizing their experience
|
||||
4. Keeps it under 100 words
|
||||
|
||||
Do NOT give advice. Do NOT be clinical. Just be present and human.
|
||||
Language: {language}"""
|
||||
|
||||
try:
|
||||
data = json.dumps({
|
||||
"model": MODEL_NAME,
|
||||
"prompt": prompt,
|
||||
"stream": False,
|
||||
"options": {"temperature": 0.7, "num_predict": 200}
|
||||
}).encode()
|
||||
|
||||
req = urllib.request.Request(
|
||||
f"{OLLAMA_HOST}/api/generate",
|
||||
data=data,
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
resp = urllib.request.urlopen(req, timeout=30)
|
||||
result = json.loads(resp.read())
|
||||
return result.get("response", "").strip()
|
||||
|
||||
except Exception as e:
|
||||
logger.error("Crisis response generation failed: %s", e)
|
||||
return "I'm here with you. Are you safe right now?"
|
||||
|
||||
|
||||
def get_status() -> Dict[str, Any]:
|
||||
"""Get deployment status of Qwen2.5-7B."""
|
||||
ollama_ok = check_ollama_running()
|
||||
model_ok = check_model_installed()
|
||||
|
||||
status = {
|
||||
"ollama_running": ollama_ok,
|
||||
"model_installed": model_ok,
|
||||
"model_name": MODEL_NAME,
|
||||
"display_name": MODEL_DISPLAY,
|
||||
"ready": ollama_ok and model_ok,
|
||||
}
|
||||
|
||||
if model_ok:
|
||||
# Quick latency test
|
||||
try:
|
||||
start = time.monotonic()
|
||||
data = json.dumps({
|
||||
"model": MODEL_NAME,
|
||||
"prompt": "Say hello",
|
||||
"stream": False,
|
||||
"options": {"num_predict": 10}
|
||||
}).encode()
|
||||
req = urllib.request.Request(
|
||||
f"{OLLAMA_HOST}/api/generate",
|
||||
data=data,
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
urllib.request.urlopen(req, timeout=10)
|
||||
status["latency_ms"] = int((time.monotonic() - start) * 1000)
|
||||
except Exception:
|
||||
status["latency_ms"] = -1
|
||||
|
||||
return status
|
||||
Reference in New Issue
Block a user