""" Session management for the gateway. Handles: - Session context tracking (where messages come from) - Session storage (conversations persisted to disk) - Reset policy evaluation (when to start fresh) - Dynamic system prompt injection (agent knows its context) """ import os import json import uuid from pathlib import Path from datetime import datetime, timedelta from dataclasses import dataclass, field from typing import Dict, List, Optional, Any from .config import ( Platform, GatewayConfig, SessionResetPolicy, HomeChannel, ) @dataclass class SessionSource: """ Describes where a message originated from. This information is used to: 1. Route responses back to the right place 2. Inject context into the system prompt 3. Track origin for cron job delivery """ platform: Platform chat_id: str chat_name: Optional[str] = None chat_type: str = "dm" # "dm", "group", "channel", "thread" user_id: Optional[str] = None user_name: Optional[str] = None thread_id: Optional[str] = None # For forum topics, Discord threads, etc. @property def description(self) -> str: """Human-readable description of the source.""" if self.platform == Platform.LOCAL: return "CLI terminal" parts = [] if self.chat_type == "dm": parts.append(f"DM with {self.user_name or self.user_id or 'user'}") elif self.chat_type == "group": parts.append(f"group: {self.chat_name or self.chat_id}") elif self.chat_type == "channel": parts.append(f"channel: {self.chat_name or self.chat_id}") else: parts.append(self.chat_name or self.chat_id) if self.thread_id: parts.append(f"thread: {self.thread_id}") return ", ".join(parts) def to_dict(self) -> Dict[str, Any]: return { "platform": self.platform.value, "chat_id": self.chat_id, "chat_name": self.chat_name, "chat_type": self.chat_type, "user_id": self.user_id, "user_name": self.user_name, "thread_id": self.thread_id, } @classmethod def from_dict(cls, data: Dict[str, Any]) -> "SessionSource": return cls( platform=Platform(data["platform"]), chat_id=str(data["chat_id"]), chat_name=data.get("chat_name"), chat_type=data.get("chat_type", "dm"), user_id=data.get("user_id"), user_name=data.get("user_name"), thread_id=data.get("thread_id"), ) @classmethod def local_cli(cls) -> "SessionSource": """Create a source representing the local CLI.""" return cls( platform=Platform.LOCAL, chat_id="cli", chat_name="CLI terminal", chat_type="dm", ) @dataclass class SessionContext: """ Full context for a session, used for dynamic system prompt injection. The agent receives this information to understand: - Where messages are coming from - What platforms are available - Where it can deliver scheduled task outputs """ source: SessionSource connected_platforms: List[Platform] home_channels: Dict[Platform, HomeChannel] # Session metadata session_key: str = "" session_id: str = "" created_at: Optional[datetime] = None updated_at: Optional[datetime] = None def to_dict(self) -> Dict[str, Any]: return { "source": self.source.to_dict(), "connected_platforms": [p.value for p in self.connected_platforms], "home_channels": { p.value: hc.to_dict() for p, hc in self.home_channels.items() }, "session_key": self.session_key, "session_id": self.session_id, "created_at": self.created_at.isoformat() if self.created_at else None, "updated_at": self.updated_at.isoformat() if self.updated_at else None, } def build_session_context_prompt(context: SessionContext) -> str: """ Build the dynamic system prompt section that tells the agent about its context. This is injected into the system prompt so the agent knows: - Where messages are coming from - What platforms are connected - Where it can deliver scheduled task outputs """ lines = [ "## Current Session Context", "", ] # Source info platform_name = context.source.platform.value.title() if context.source.platform == Platform.LOCAL: lines.append(f"**Source:** {platform_name} (the machine running this agent)") else: lines.append(f"**Source:** {platform_name} ({context.source.description})") # Connected platforms platforms_list = ["local (files on this machine)"] for p in context.connected_platforms: if p != Platform.LOCAL: platforms_list.append(f"{p.value}: Connected ✓") lines.append(f"**Connected Platforms:** {', '.join(platforms_list)}") # Home channels if context.home_channels: lines.append("") lines.append("**Home Channels (default destinations):**") for platform, home in context.home_channels.items(): lines.append(f" - {platform.value}: {home.name} (ID: {home.chat_id})") # Delivery options for scheduled tasks lines.append("") lines.append("**Delivery options for scheduled tasks:**") # Origin delivery if context.source.platform == Platform.LOCAL: lines.append("- `\"origin\"` → Local output (saved to files)") else: lines.append(f"- `\"origin\"` → Back to this chat ({context.source.chat_name or context.source.chat_id})") # Local always available lines.append("- `\"local\"` → Save to local files only (~/.hermes/cron/output/)") # Platform home channels for platform, home in context.home_channels.items(): lines.append(f"- `\"{platform.value}\"` → Home channel ({home.name})") # Note about explicit targeting lines.append("") lines.append("*For explicit targeting, use `\"platform:chat_id\"` format if the user provides a specific chat ID.*") return "\n".join(lines) @dataclass class SessionEntry: """ Entry in the session store. Maps a session key to its current session ID and metadata. """ session_key: str session_id: str created_at: datetime updated_at: datetime # Origin metadata for delivery routing origin: Optional[SessionSource] = None # Display metadata display_name: Optional[str] = None platform: Optional[Platform] = None chat_type: str = "dm" # Token tracking input_tokens: int = 0 output_tokens: int = 0 total_tokens: int = 0 def to_dict(self) -> Dict[str, Any]: result = { "session_key": self.session_key, "session_id": self.session_id, "created_at": self.created_at.isoformat(), "updated_at": self.updated_at.isoformat(), "display_name": self.display_name, "platform": self.platform.value if self.platform else None, "chat_type": self.chat_type, "input_tokens": self.input_tokens, "output_tokens": self.output_tokens, "total_tokens": self.total_tokens, } if self.origin: result["origin"] = self.origin.to_dict() return result @classmethod def from_dict(cls, data: Dict[str, Any]) -> "SessionEntry": origin = None if "origin" in data and data["origin"]: origin = SessionSource.from_dict(data["origin"]) platform = None if data.get("platform"): try: platform = Platform(data["platform"]) except ValueError: pass return cls( session_key=data["session_key"], session_id=data["session_id"], created_at=datetime.fromisoformat(data["created_at"]), updated_at=datetime.fromisoformat(data["updated_at"]), origin=origin, display_name=data.get("display_name"), platform=platform, chat_type=data.get("chat_type", "dm"), input_tokens=data.get("input_tokens", 0), output_tokens=data.get("output_tokens", 0), total_tokens=data.get("total_tokens", 0), ) class SessionStore: """ Manages session storage and retrieval. Sessions are stored in: - sessions.json: Index mapping session keys to session IDs - {session_id}.jsonl: Conversation transcripts """ def __init__(self, sessions_dir: Path, config: GatewayConfig): self.sessions_dir = sessions_dir self.config = config self._entries: Dict[str, SessionEntry] = {} self._loaded = False def _ensure_loaded(self) -> None: """Load sessions from disk if not already loaded.""" if self._loaded: return self.sessions_dir.mkdir(parents=True, exist_ok=True) sessions_file = self.sessions_dir / "sessions.json" if sessions_file.exists(): try: with open(sessions_file, "r") as f: data = json.load(f) for key, entry_data in data.items(): self._entries[key] = SessionEntry.from_dict(entry_data) except Exception as e: print(f"[gateway] Warning: Failed to load sessions: {e}") self._loaded = True def _save(self) -> None: """Save sessions index to disk.""" self.sessions_dir.mkdir(parents=True, exist_ok=True) sessions_file = self.sessions_dir / "sessions.json" data = {key: entry.to_dict() for key, entry in self._entries.items()} with open(sessions_file, "w") as f: json.dump(data, f, indent=2) def _generate_session_key(self, source: SessionSource) -> str: """Generate a session key from a source.""" platform = source.platform.value if source.chat_type == "dm": # DMs share the main session per platform return f"agent:main:{platform}:dm" else: # Groups/channels get their own keys return f"agent:main:{platform}:{source.chat_type}:{source.chat_id}" def _should_reset(self, entry: SessionEntry, source: SessionSource) -> bool: """ Check if a session should be reset based on policy. Returns True if the session is stale and should start fresh. """ policy = self.config.get_reset_policy( platform=source.platform, session_type=source.chat_type ) now = datetime.now() # Check idle timeout if policy.mode in ("idle", "both"): idle_deadline = entry.updated_at + timedelta(minutes=policy.idle_minutes) if now > idle_deadline: return True # Check daily reset if policy.mode in ("daily", "both"): # Find the most recent reset boundary today_reset = now.replace( hour=policy.at_hour, minute=0, second=0, microsecond=0 ) if now.hour < policy.at_hour: # Reset boundary was yesterday today_reset -= timedelta(days=1) if entry.updated_at < today_reset: return True return False def get_or_create_session( self, source: SessionSource, force_new: bool = False ) -> SessionEntry: """ Get an existing session or create a new one. Evaluates reset policy to determine if the existing session is stale. """ self._ensure_loaded() session_key = self._generate_session_key(source) now = datetime.now() # Check for existing session if session_key in self._entries and not force_new: entry = self._entries[session_key] # Check if session should be reset if not self._should_reset(entry, source): # Update timestamp and return existing entry.updated_at = now self._save() return entry # Create new session session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}" entry = SessionEntry( session_key=session_key, session_id=session_id, created_at=now, updated_at=now, origin=source, display_name=source.chat_name, platform=source.platform, chat_type=source.chat_type, ) self._entries[session_key] = entry self._save() return entry def update_session( self, session_key: str, input_tokens: int = 0, output_tokens: int = 0 ) -> None: """Update a session's metadata after an interaction.""" self._ensure_loaded() if session_key in self._entries: entry = self._entries[session_key] entry.updated_at = datetime.now() entry.input_tokens += input_tokens entry.output_tokens += output_tokens entry.total_tokens = entry.input_tokens + entry.output_tokens self._save() def reset_session(self, session_key: str) -> Optional[SessionEntry]: """Force reset a session, creating a new session ID.""" self._ensure_loaded() if session_key not in self._entries: return None old_entry = self._entries[session_key] now = datetime.now() session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}" new_entry = SessionEntry( session_key=session_key, session_id=session_id, created_at=now, updated_at=now, origin=old_entry.origin, display_name=old_entry.display_name, platform=old_entry.platform, chat_type=old_entry.chat_type, ) self._entries[session_key] = new_entry self._save() return new_entry def list_sessions(self, active_minutes: Optional[int] = None) -> List[SessionEntry]: """ List all sessions, optionally filtered by activity. Args: active_minutes: If provided, only return sessions updated within this many minutes """ self._ensure_loaded() entries = list(self._entries.values()) if active_minutes is not None: cutoff = datetime.now() - timedelta(minutes=active_minutes) entries = [e for e in entries if e.updated_at >= cutoff] # Sort by most recently updated entries.sort(key=lambda e: e.updated_at, reverse=True) return entries def get_transcript_path(self, session_id: str) -> Path: """Get the path to a session's transcript file.""" return self.sessions_dir / f"{session_id}.jsonl" def append_to_transcript(self, session_id: str, message: Dict[str, Any]) -> None: """Append a message to a session's transcript.""" transcript_path = self.get_transcript_path(session_id) with open(transcript_path, "a") as f: f.write(json.dumps(message, ensure_ascii=False) + "\n") def load_transcript(self, session_id: str) -> List[Dict[str, Any]]: """Load all messages from a session's transcript.""" transcript_path = self.get_transcript_path(session_id) if not transcript_path.exists(): return [] messages = [] with open(transcript_path, "r") as f: for line in f: line = line.strip() if line: messages.append(json.loads(line)) return messages def build_session_context( source: SessionSource, config: GatewayConfig, session_entry: Optional[SessionEntry] = None ) -> SessionContext: """ Build a full session context from a source and config. This is used to inject context into the agent's system prompt. """ connected = config.get_connected_platforms() home_channels = {} for platform in connected: home = config.get_home_channel(platform) if home: home_channels[platform] = home context = SessionContext( source=source, connected_platforms=connected, home_channels=home_channels, ) if session_entry: context.session_key = session_entry.session_key context.session_id = session_entry.session_id context.created_at = session_entry.created_at context.updated_at = session_entry.updated_at return context