""" Gateway runner - entry point for messaging platform integrations. This module provides: - start_gateway(): Start all configured platform adapters - GatewayRunner: Main class managing the gateway lifecycle Usage: # Start the gateway python -m gateway.run # Or from CLI python cli.py --gateway """ import asyncio import json import logging import os import re import shlex import sys import signal import tempfile import threading import time from logging.handlers import RotatingFileHandler from pathlib import Path from datetime import datetime from typing import Dict, Optional, Any, List # --------------------------------------------------------------------------- # SSL certificate auto-detection for NixOS and other non-standard systems. # Must run BEFORE any HTTP library (discord, aiohttp, etc.) is imported. # --------------------------------------------------------------------------- def _ensure_ssl_certs() -> None: """Set SSL_CERT_FILE if the system doesn't expose CA certs to Python.""" if "SSL_CERT_FILE" in os.environ: return # user already configured it import ssl # 1. Python's compiled-in defaults paths = ssl.get_default_verify_paths() for candidate in (paths.cafile, paths.openssl_cafile): if candidate and os.path.exists(candidate): os.environ["SSL_CERT_FILE"] = candidate return # 2. certifi (ships its own Mozilla bundle) try: import certifi os.environ["SSL_CERT_FILE"] = certifi.where() return except ImportError: pass # 3. Common distro / macOS locations for candidate in ( "/etc/ssl/certs/ca-certificates.crt", # Debian/Ubuntu/Gentoo "/etc/pki/tls/certs/ca-bundle.crt", # RHEL/CentOS 7 "/etc/pki/ca-trust/extracted/pem/tls-ca-bundle.pem", # RHEL/CentOS 8+ "/etc/ssl/ca-bundle.pem", # SUSE/OpenSUSE "/etc/ssl/cert.pem", # Alpine / macOS "/etc/pki/tls/cert.pem", # Fedora "/usr/local/etc/openssl@1.1/cert.pem", # macOS Homebrew Intel "/opt/homebrew/etc/openssl@1.1/cert.pem", # macOS Homebrew ARM ): if os.path.exists(candidate): os.environ["SSL_CERT_FILE"] = candidate return _ensure_ssl_certs() # Add parent directory to path sys.path.insert(0, str(Path(__file__).parent.parent)) # Resolve Hermes home directory (respects HERMES_HOME override) from hermes_constants import get_hermes_home _hermes_home = get_hermes_home() # Load environment variables from ~/.hermes/.env first. # User-managed env files should override stale shell exports on restart. from dotenv import load_dotenv # backward-compat for tests that monkeypatch this symbol from hermes_cli.env_loader import load_hermes_dotenv _env_path = _hermes_home / '.env' load_hermes_dotenv(hermes_home=_hermes_home, project_env=Path(__file__).resolve().parents[1] / '.env') # Bridge config.yaml values into the environment so os.getenv() picks them up. # config.yaml is authoritative for terminal settings — overrides .env. _config_path = _hermes_home / 'config.yaml' if _config_path.exists(): try: import yaml as _yaml with open(_config_path, encoding="utf-8") as _f: _cfg = _yaml.safe_load(_f) or {} # Expand ${ENV_VAR} references before bridging to env vars. from hermes_cli.config import _expand_env_vars _cfg = _expand_env_vars(_cfg) # Top-level simple values (fallback only — don't override .env) for _key, _val in _cfg.items(): if isinstance(_val, (str, int, float, bool)) and _key not in os.environ: os.environ[_key] = str(_val) # Terminal config is nested — bridge to TERMINAL_* env vars. # config.yaml overrides .env for these since it's the documented config path. _terminal_cfg = _cfg.get("terminal", {}) if _terminal_cfg and isinstance(_terminal_cfg, dict): _terminal_env_map = { "backend": "TERMINAL_ENV", "cwd": "TERMINAL_CWD", "timeout": "TERMINAL_TIMEOUT", "lifetime_seconds": "TERMINAL_LIFETIME_SECONDS", "docker_image": "TERMINAL_DOCKER_IMAGE", "docker_forward_env": "TERMINAL_DOCKER_FORWARD_ENV", "singularity_image": "TERMINAL_SINGULARITY_IMAGE", "modal_image": "TERMINAL_MODAL_IMAGE", "daytona_image": "TERMINAL_DAYTONA_IMAGE", "ssh_host": "TERMINAL_SSH_HOST", "ssh_user": "TERMINAL_SSH_USER", "ssh_port": "TERMINAL_SSH_PORT", "ssh_key": "TERMINAL_SSH_KEY", "container_cpu": "TERMINAL_CONTAINER_CPU", "container_memory": "TERMINAL_CONTAINER_MEMORY", "container_disk": "TERMINAL_CONTAINER_DISK", "container_persistent": "TERMINAL_CONTAINER_PERSISTENT", "docker_volumes": "TERMINAL_DOCKER_VOLUMES", "sandbox_dir": "TERMINAL_SANDBOX_DIR", "persistent_shell": "TERMINAL_PERSISTENT_SHELL", } for _cfg_key, _env_var in _terminal_env_map.items(): if _cfg_key in _terminal_cfg: _val = _terminal_cfg[_cfg_key] if isinstance(_val, list): os.environ[_env_var] = json.dumps(_val) else: os.environ[_env_var] = str(_val) # Compression config is read directly from config.yaml by run_agent.py # and auxiliary_client.py — no env var bridging needed. # Auxiliary model/direct-endpoint overrides (vision, web_extract). # Each task has provider/model/base_url/api_key; bridge non-default values to env vars. _auxiliary_cfg = _cfg.get("auxiliary", {}) if _auxiliary_cfg and isinstance(_auxiliary_cfg, dict): _aux_task_env = { "vision": { "provider": "AUXILIARY_VISION_PROVIDER", "model": "AUXILIARY_VISION_MODEL", "base_url": "AUXILIARY_VISION_BASE_URL", "api_key": "AUXILIARY_VISION_API_KEY", }, "web_extract": { "provider": "AUXILIARY_WEB_EXTRACT_PROVIDER", "model": "AUXILIARY_WEB_EXTRACT_MODEL", "base_url": "AUXILIARY_WEB_EXTRACT_BASE_URL", "api_key": "AUXILIARY_WEB_EXTRACT_API_KEY", }, "approval": { "provider": "AUXILIARY_APPROVAL_PROVIDER", "model": "AUXILIARY_APPROVAL_MODEL", "base_url": "AUXILIARY_APPROVAL_BASE_URL", "api_key": "AUXILIARY_APPROVAL_API_KEY", }, } for _task_key, _env_map in _aux_task_env.items(): _task_cfg = _auxiliary_cfg.get(_task_key, {}) if not isinstance(_task_cfg, dict): continue _prov = str(_task_cfg.get("provider", "")).strip() _model = str(_task_cfg.get("model", "")).strip() _base_url = str(_task_cfg.get("base_url", "")).strip() _api_key = str(_task_cfg.get("api_key", "")).strip() if _prov and _prov != "auto": os.environ[_env_map["provider"]] = _prov if _model: os.environ[_env_map["model"]] = _model if _base_url: os.environ[_env_map["base_url"]] = _base_url if _api_key: os.environ[_env_map["api_key"]] = _api_key _agent_cfg = _cfg.get("agent", {}) if _agent_cfg and isinstance(_agent_cfg, dict): if "max_turns" in _agent_cfg: os.environ["HERMES_MAX_ITERATIONS"] = str(_agent_cfg["max_turns"]) # Timezone: bridge config.yaml → HERMES_TIMEZONE env var. # HERMES_TIMEZONE from .env takes precedence (already in os.environ). _tz_cfg = _cfg.get("timezone", "") if _tz_cfg and isinstance(_tz_cfg, str) and "HERMES_TIMEZONE" not in os.environ: os.environ["HERMES_TIMEZONE"] = _tz_cfg.strip() # Security settings _security_cfg = _cfg.get("security", {}) if isinstance(_security_cfg, dict): _redact = _security_cfg.get("redact_secrets") if _redact is not None: os.environ["HERMES_REDACT_SECRETS"] = str(_redact).lower() except Exception: pass # Non-fatal; gateway can still run with .env values # Gateway runs in quiet mode - suppress debug output and use cwd directly (no temp dirs) os.environ["HERMES_QUIET"] = "1" # Enable interactive exec approval for dangerous commands on messaging platforms os.environ["HERMES_EXEC_ASK"] = "1" # Set terminal working directory for messaging platforms. # If the user set an explicit path in config.yaml (not "." or "auto"), # respect it. Otherwise use MESSAGING_CWD or default to home directory. _configured_cwd = os.environ.get("TERMINAL_CWD", "") if not _configured_cwd or _configured_cwd in (".", "auto", "cwd"): messaging_cwd = os.getenv("MESSAGING_CWD") or str(Path.home()) os.environ["TERMINAL_CWD"] = messaging_cwd from gateway.config import ( Platform, GatewayConfig, load_gateway_config, ) from gateway.session import ( SessionStore, SessionSource, SessionContext, build_session_context, build_session_context_prompt, build_session_key, ) from gateway.delivery import DeliveryRouter from gateway.platforms.base import BasePlatformAdapter, MessageEvent, MessageType logger = logging.getLogger(__name__) # Sentinel placed into _running_agents immediately when a session starts # processing, *before* any await. Prevents a second message for the same # session from bypassing the "already running" guard during the async gap # between the guard check and actual agent creation. _AGENT_PENDING_SENTINEL = object() def _resolve_runtime_agent_kwargs() -> dict: """Resolve provider credentials for gateway-created AIAgent instances.""" from hermes_cli.runtime_provider import ( resolve_runtime_provider, format_runtime_provider_error, ) try: runtime = resolve_runtime_provider( requested=os.getenv("HERMES_INFERENCE_PROVIDER"), ) except Exception as exc: raise RuntimeError(format_runtime_provider_error(exc)) from exc return { "api_key": runtime.get("api_key"), "base_url": runtime.get("base_url"), "provider": runtime.get("provider"), "api_mode": runtime.get("api_mode"), "command": runtime.get("command"), "args": list(runtime.get("args") or []), } def _platform_config_key(platform: "Platform") -> str: """Map a Platform enum to its config.yaml key (LOCAL→"cli", rest→enum value).""" return "cli" if platform == Platform.LOCAL else platform.value def _load_gateway_config() -> dict: """Load and parse ~/.hermes/config.yaml, returning {} on any error.""" try: config_path = _hermes_home / 'config.yaml' if config_path.exists(): import yaml with open(config_path, 'r', encoding='utf-8') as f: return yaml.safe_load(f) or {} except Exception: logger.debug("Could not load gateway config from %s", _hermes_home / 'config.yaml') return {} def _resolve_gateway_model(config: dict | None = None) -> str: """Read model from env/config — mirrors the resolution in _run_agent_sync. Without this, temporary AIAgent instances (memory flush, /compress) fall back to the hardcoded default ("anthropic/claude-opus-4.6") which fails when the active provider is openai-codex. """ model = os.getenv("HERMES_MODEL") or os.getenv("LLM_MODEL") or "anthropic/claude-opus-4.6" cfg = config if config is not None else _load_gateway_config() model_cfg = cfg.get("model", {}) if isinstance(model_cfg, str): model = model_cfg elif isinstance(model_cfg, dict): model = model_cfg.get("default", model) return model def _resolve_hermes_bin() -> Optional[list[str]]: """Resolve the Hermes update command as argv parts. Tries in order: 1. ``shutil.which("hermes")`` — standard PATH lookup 2. ``sys.executable -m hermes_cli.main`` — fallback when Hermes is running from a venv/module invocation and the ``hermes`` shim is not on PATH Returns argv parts ready for quoting/joining, or ``None`` if neither works. """ import shutil hermes_bin = shutil.which("hermes") if hermes_bin: return [hermes_bin] try: import importlib.util if importlib.util.find_spec("hermes_cli") is not None: return [sys.executable, "-m", "hermes_cli.main"] except Exception: pass return None class GatewayRunner: """ Main gateway controller. Manages the lifecycle of all platform adapters and routes messages to/from the agent. """ def __init__(self, config: Optional[GatewayConfig] = None): self.config = config or load_gateway_config() self.adapters: Dict[Platform, BasePlatformAdapter] = {} # Load ephemeral config from config.yaml / env vars. # Both are injected at API-call time only and never persisted. self._prefill_messages = self._load_prefill_messages() self._ephemeral_system_prompt = self._load_ephemeral_system_prompt() self._reasoning_config = self._load_reasoning_config() self._show_reasoning = self._load_show_reasoning() self._provider_routing = self._load_provider_routing() self._fallback_model = self._load_fallback_model() self._smart_model_routing = self._load_smart_model_routing() # Wire process registry into session store for reset protection from tools.process_registry import process_registry self.session_store = SessionStore( self.config.sessions_dir, self.config, has_active_processes_fn=lambda key: process_registry.has_active_for_session(key), ) self.delivery_router = DeliveryRouter(self.config) self._running = False self._shutdown_event = asyncio.Event() self._exit_cleanly = False self._exit_with_failure = False self._exit_reason: Optional[str] = None # Track running agents per session for interrupt support # Key: session_key, Value: AIAgent instance self._running_agents: Dict[str, Any] = {} self._pending_messages: Dict[str, str] = {} # Queued messages during interrupt # Cache AIAgent instances per session to preserve prompt caching. # Without this, a new AIAgent is created per message, rebuilding the # system prompt (including memory) every turn — breaking prefix cache # and costing ~10x more on providers with prompt caching (Anthropic). # Key: session_key, Value: (AIAgent, config_signature_str) import threading as _threading self._agent_cache: Dict[str, tuple] = {} self._agent_cache_lock = _threading.Lock() # Track active fallback model/provider when primary is rate-limited. # Set after an agent run where fallback was activated; cleared when # the primary model succeeds again or the user switches via /model. self._effective_model: Optional[str] = None self._effective_provider: Optional[str] = None # Track pending exec approvals per session # Key: session_key, Value: {"command": str, "pattern_key": str, ...} self._pending_approvals: Dict[str, Dict[str, Any]] = {} # Track platforms that failed to connect for background reconnection. # Key: Platform enum, Value: {"config": platform_config, "attempts": int, "next_retry": float} self._failed_platforms: Dict[Platform, Dict[str, Any]] = {} # Persistent Honcho managers keyed by gateway session key. # This preserves write_frequency="session" semantics across short-lived # per-message AIAgent instances. self._honcho_managers: Dict[str, Any] = {} self._honcho_configs: Dict[str, Any] = {} # Ensure tirith security scanner is available (downloads if needed) try: from tools.tirith_security import ensure_installed ensure_installed(log_failures=False) except Exception: pass # Non-fatal — fail-open at scan time if unavailable # Initialize session database for session_search tool support self._session_db = None try: from hermes_state import SessionDB self._session_db = SessionDB() except Exception as e: logger.debug("SQLite session store not available: %s", e) # DM pairing store for code-based user authorization from gateway.pairing import PairingStore self.pairing_store = PairingStore() # Event hook system from gateway.hooks import HookRegistry self.hooks = HookRegistry() # Per-chat voice reply mode: "off" | "voice_only" | "all" self._voice_mode: Dict[str, str] = self._load_voice_modes() # Track background tasks to prevent garbage collection mid-execution self._background_tasks: set = set() def _get_or_create_gateway_honcho(self, session_key: str): """Return a persistent Honcho manager/config pair for this gateway session.""" if not hasattr(self, "_honcho_managers"): self._honcho_managers = {} if not hasattr(self, "_honcho_configs"): self._honcho_configs = {} if session_key in self._honcho_managers: return self._honcho_managers[session_key], self._honcho_configs.get(session_key) try: from honcho_integration.client import HonchoClientConfig, get_honcho_client from honcho_integration.session import HonchoSessionManager hcfg = HonchoClientConfig.from_global_config() if not hcfg.enabled or not hcfg.api_key: return None, hcfg client = get_honcho_client(hcfg) manager = HonchoSessionManager( honcho=client, config=hcfg, context_tokens=hcfg.context_tokens, ) self._honcho_managers[session_key] = manager self._honcho_configs[session_key] = hcfg return manager, hcfg except Exception as e: logger.debug("Gateway Honcho init failed for %s: %s", session_key, e) return None, None def _shutdown_gateway_honcho(self, session_key: str) -> None: """Flush and close the persistent Honcho manager for a gateway session.""" managers = getattr(self, "_honcho_managers", None) configs = getattr(self, "_honcho_configs", None) if managers is None or configs is None: return manager = managers.pop(session_key, None) configs.pop(session_key, None) if not manager: return try: manager.shutdown() except Exception as e: logger.debug("Gateway Honcho shutdown failed for %s: %s", session_key, e) def _shutdown_all_gateway_honcho(self) -> None: """Flush and close all persistent Honcho managers.""" managers = getattr(self, "_honcho_managers", None) if not managers: return for session_key in list(managers.keys()): self._shutdown_gateway_honcho(session_key) # -- Setup skill availability ---------------------------------------- def _has_setup_skill(self) -> bool: """Check if the hermes-agent-setup skill is installed.""" try: from tools.skill_manager_tool import _find_skill return _find_skill("hermes-agent-setup") is not None except Exception: return False # -- Voice mode persistence ------------------------------------------ _VOICE_MODE_PATH = _hermes_home / "gateway_voice_mode.json" def _load_voice_modes(self) -> Dict[str, str]: try: data = json.loads(self._VOICE_MODE_PATH.read_text()) except (FileNotFoundError, json.JSONDecodeError, OSError): return {} if not isinstance(data, dict): return {} valid_modes = {"off", "voice_only", "all"} return { str(chat_id): mode for chat_id, mode in data.items() if mode in valid_modes } def _save_voice_modes(self) -> None: try: self._VOICE_MODE_PATH.parent.mkdir(parents=True, exist_ok=True) self._VOICE_MODE_PATH.write_text( json.dumps(self._voice_mode, indent=2) ) except OSError as e: logger.warning("Failed to save voice modes: %s", e) def _set_adapter_auto_tts_disabled(self, adapter, chat_id: str, disabled: bool) -> None: """Update an adapter's in-memory auto-TTS suppression set if present.""" disabled_chats = getattr(adapter, "_auto_tts_disabled_chats", None) if not isinstance(disabled_chats, set): return if disabled: disabled_chats.add(chat_id) else: disabled_chats.discard(chat_id) def _sync_voice_mode_state_to_adapter(self, adapter) -> None: """Restore persisted /voice off state into a live platform adapter.""" disabled_chats = getattr(adapter, "_auto_tts_disabled_chats", None) if not isinstance(disabled_chats, set): return disabled_chats.clear() disabled_chats.update( chat_id for chat_id, mode in self._voice_mode.items() if mode == "off" ) # ----------------------------------------------------------------- def _flush_memories_for_session( self, old_session_id: str, honcho_session_key: Optional[str] = None, ): """Prompt the agent to save memories/skills before context is lost. Synchronous worker — meant to be called via run_in_executor from an async context so it doesn't block the event loop. """ # Skip cron sessions — they run headless with no meaningful user # conversation to extract memories from. if old_session_id and old_session_id.startswith("cron_"): logger.debug("Skipping memory flush for cron session: %s", old_session_id) return try: history = self.session_store.load_transcript(old_session_id) if not history or len(history) < 4: return from run_agent import AIAgent runtime_kwargs = _resolve_runtime_agent_kwargs() if not runtime_kwargs.get("api_key"): return # Resolve model from config — AIAgent's default is OpenRouter- # formatted ("anthropic/claude-opus-4.6") which fails when the # active provider is openai-codex. model = _resolve_gateway_model() tmp_agent = AIAgent( **runtime_kwargs, model=model, max_iterations=8, quiet_mode=True, enabled_toolsets=["memory", "skills"], session_id=old_session_id, honcho_session_key=honcho_session_key, ) # Fully silence the flush agent — quiet_mode only suppresses init # messages; tool call output still leaks to the terminal through # _safe_print → _print_fn. Set a no-op to prevent that. tmp_agent._print_fn = lambda *a, **kw: None # Build conversation history from transcript msgs = [ {"role": m.get("role"), "content": m.get("content")} for m in history if m.get("role") in ("user", "assistant") and m.get("content") ] # Read live memory state from disk so the flush agent can see # what's already saved and avoid overwriting newer entries. _current_memory = "" try: from tools.memory_tool import MEMORY_DIR for fname, label in [ ("MEMORY.md", "MEMORY (your personal notes)"), ("USER.md", "USER PROFILE (who the user is)"), ]: fpath = MEMORY_DIR / fname if fpath.exists(): content = fpath.read_text(encoding="utf-8").strip() if content: _current_memory += f"\n\n## Current {label}:\n{content}" except Exception: pass # Non-fatal — flush still works, just without the guard # Give the agent a real turn to think about what to save flush_prompt = ( "[System: This session is about to be automatically reset due to " "inactivity or a scheduled daily reset. The conversation context " "will be cleared after this turn.\n\n" "Review the conversation above and:\n" "1. Save any important facts, preferences, or decisions to memory " "(user profile or your notes) that would be useful in future sessions.\n" "2. If you discovered a reusable workflow or solved a non-trivial " "problem, consider saving it as a skill.\n" "3. If nothing is worth saving, that's fine — just skip.\n\n" ) if _current_memory: flush_prompt += ( "IMPORTANT — here is the current live state of memory. Other " "sessions, cron jobs, or the user may have updated it since this " "conversation ended. Do NOT overwrite or remove entries unless " "the conversation above reveals something that genuinely " "supersedes them. Only add new information that is not already " "captured below." f"{_current_memory}\n\n" ) flush_prompt += ( "Do NOT respond to the user. Just use the memory and skill_manage " "tools if needed, then stop.]" ) tmp_agent.run_conversation( user_message=flush_prompt, conversation_history=msgs, sync_honcho=False, ) logger.info("Pre-reset memory flush completed for session %s", old_session_id) # Flush any queued Honcho writes before the session is dropped if getattr(tmp_agent, '_honcho', None): try: tmp_agent._honcho.shutdown() except Exception: pass except Exception as e: logger.debug("Pre-reset memory flush failed for session %s: %s", old_session_id, e) async def _async_flush_memories( self, old_session_id: str, honcho_session_key: Optional[str] = None, ): """Run the sync memory flush in a thread pool so it won't block the event loop.""" loop = asyncio.get_event_loop() await loop.run_in_executor( None, self._flush_memories_for_session, old_session_id, honcho_session_key, ) @property def should_exit_cleanly(self) -> bool: return self._exit_cleanly @property def should_exit_with_failure(self) -> bool: return self._exit_with_failure @property def exit_reason(self) -> Optional[str]: return self._exit_reason def _session_key_for_source(self, source: SessionSource) -> str: """Resolve the current session key for a source, honoring gateway config when available.""" if hasattr(self, "session_store") and self.session_store is not None: try: session_key = self.session_store._generate_session_key(source) if isinstance(session_key, str) and session_key: return session_key except Exception: pass config = getattr(self, "config", None) return build_session_key( source, group_sessions_per_user=getattr(config, "group_sessions_per_user", True), ) def _resolve_turn_agent_config(self, user_message: str, model: str, runtime_kwargs: dict) -> dict: from agent.smart_model_routing import resolve_turn_route primary = { "model": model, "api_key": runtime_kwargs.get("api_key"), "base_url": runtime_kwargs.get("base_url"), "provider": runtime_kwargs.get("provider"), "api_mode": runtime_kwargs.get("api_mode"), "command": runtime_kwargs.get("command"), "args": list(runtime_kwargs.get("args") or []), } return resolve_turn_route(user_message, getattr(self, "_smart_model_routing", {}), primary) async def _handle_adapter_fatal_error(self, adapter: BasePlatformAdapter) -> None: """React to an adapter failure after startup. If the error is retryable (e.g. network blip, DNS failure), queue the platform for background reconnection instead of giving up permanently. """ logger.error( "Fatal %s adapter error (%s): %s", adapter.platform.value, adapter.fatal_error_code or "unknown", adapter.fatal_error_message or "unknown error", ) existing = self.adapters.get(adapter.platform) if existing is adapter: try: await adapter.disconnect() finally: self.adapters.pop(adapter.platform, None) self.delivery_router.adapters = self.adapters # Queue retryable failures for background reconnection if adapter.fatal_error_retryable: platform_config = self.config.platforms.get(adapter.platform) if platform_config and adapter.platform not in self._failed_platforms: self._failed_platforms[adapter.platform] = { "config": platform_config, "attempts": 0, "next_retry": time.monotonic() + 30, } logger.info( "%s queued for background reconnection", adapter.platform.value, ) if not self.adapters and not self._failed_platforms: self._exit_reason = adapter.fatal_error_message or "All messaging adapters disconnected" if adapter.fatal_error_retryable: self._exit_with_failure = True logger.error("No connected messaging platforms remain. Shutting down gateway for service restart.") else: logger.error("No connected messaging platforms remain. Shutting down gateway cleanly.") await self.stop() elif not self.adapters and self._failed_platforms: # All platforms are down and queued for background reconnection. # If the error is retryable, exit with failure so systemd Restart=on-failure # can restart the process. Otherwise stay alive and keep retrying in background. if adapter.fatal_error_retryable: self._exit_reason = adapter.fatal_error_message or "All messaging platforms failed with retryable errors" self._exit_with_failure = True logger.error( "All messaging platforms failed with retryable errors. " "Shutting down gateway for service restart (systemd will retry)." ) await self.stop() else: logger.warning( "No connected messaging platforms remain, but %d platform(s) queued for reconnection", len(self._failed_platforms), ) def _request_clean_exit(self, reason: str) -> None: self._exit_cleanly = True self._exit_reason = reason self._shutdown_event.set() @staticmethod def _load_prefill_messages() -> List[Dict[str, Any]]: """Load ephemeral prefill messages from config or env var. Checks HERMES_PREFILL_MESSAGES_FILE env var first, then falls back to the prefill_messages_file key in ~/.hermes/config.yaml. Relative paths are resolved from ~/.hermes/. """ import json as _json file_path = os.getenv("HERMES_PREFILL_MESSAGES_FILE", "") if not file_path: try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} file_path = cfg.get("prefill_messages_file", "") except Exception: pass if not file_path: return [] path = Path(file_path).expanduser() if not path.is_absolute(): path = _hermes_home / path if not path.exists(): logger.warning("Prefill messages file not found: %s", path) return [] try: with open(path, "r", encoding="utf-8") as f: data = _json.load(f) if not isinstance(data, list): logger.warning("Prefill messages file must contain a JSON array: %s", path) return [] return data except Exception as e: logger.warning("Failed to load prefill messages from %s: %s", path, e) return [] @staticmethod def _load_ephemeral_system_prompt() -> str: """Load ephemeral system prompt from config or env var. Checks HERMES_EPHEMERAL_SYSTEM_PROMPT env var first, then falls back to agent.system_prompt in ~/.hermes/config.yaml. """ prompt = os.getenv("HERMES_EPHEMERAL_SYSTEM_PROMPT", "") if prompt: return prompt try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} return (cfg.get("agent", {}).get("system_prompt", "") or "").strip() except Exception: pass return "" @staticmethod def _load_reasoning_config() -> dict | None: """Load reasoning effort from config with env fallback. Checks agent.reasoning_effort in config.yaml first, then HERMES_REASONING_EFFORT as a fallback. Valid: "xhigh", "high", "medium", "low", "minimal", "none". Returns None to use default (medium). """ from hermes_constants import parse_reasoning_effort effort = "" try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} effort = str(cfg.get("agent", {}).get("reasoning_effort", "") or "").strip() except Exception: pass if not effort: effort = os.getenv("HERMES_REASONING_EFFORT", "") result = parse_reasoning_effort(effort) if effort and effort.strip() and result is None: logger.warning("Unknown reasoning_effort '%s', using default (medium)", effort) return result @staticmethod def _load_show_reasoning() -> bool: """Load show_reasoning toggle from config.yaml display section.""" try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} return bool(cfg.get("display", {}).get("show_reasoning", False)) except Exception: pass return False @staticmethod def _load_background_notifications_mode() -> str: """Load background process notification mode from config or env var. Modes: - ``all`` — push running-output updates *and* the final message (default) - ``result`` — only the final completion message (regardless of exit code) - ``error`` — only the final message when exit code is non-zero - ``off`` — no watcher messages at all """ mode = os.getenv("HERMES_BACKGROUND_NOTIFICATIONS", "") if not mode: try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} raw = cfg.get("display", {}).get("background_process_notifications") if raw is False: mode = "off" elif raw not in (None, ""): mode = str(raw) except Exception: pass mode = (mode or "all").strip().lower() valid = {"all", "result", "error", "off"} if mode not in valid: logger.warning( "Unknown background_process_notifications '%s', defaulting to 'all'", mode, ) return "all" return mode @staticmethod def _load_provider_routing() -> dict: """Load OpenRouter provider routing preferences from config.yaml.""" try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} return cfg.get("provider_routing", {}) or {} except Exception: pass return {} @staticmethod def _load_fallback_model() -> dict | None: """Load fallback model config from config.yaml. Returns a dict with 'provider' and 'model' keys, or None if not configured / both fields empty. """ try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} fb = cfg.get("fallback_model", {}) or {} if fb.get("provider") and fb.get("model"): return fb except Exception: pass return None @staticmethod def _load_smart_model_routing() -> dict: """Load optional smart cheap-vs-strong model routing config.""" try: import yaml as _y cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): with open(cfg_path, encoding="utf-8") as _f: cfg = _y.safe_load(_f) or {} return cfg.get("smart_model_routing", {}) or {} except Exception: pass return {} async def start(self) -> bool: """ Start the gateway and all configured platform adapters. Returns True if at least one adapter connected successfully. """ logger.info("Starting Hermes Gateway...") logger.info("Session storage: %s", self.config.sessions_dir) try: from gateway.status import write_runtime_status write_runtime_status(gateway_state="starting", exit_reason=None) except Exception: pass # Warn if no user allowlists are configured and open access is not opted in _any_allowlist = any( os.getenv(v) for v in ("TELEGRAM_ALLOWED_USERS", "DISCORD_ALLOWED_USERS", "WHATSAPP_ALLOWED_USERS", "SLACK_ALLOWED_USERS", "SIGNAL_ALLOWED_USERS", "SIGNAL_GROUP_ALLOWED_USERS", "EMAIL_ALLOWED_USERS", "SMS_ALLOWED_USERS", "MATTERMOST_ALLOWED_USERS", "MATRIX_ALLOWED_USERS", "DINGTALK_ALLOWED_USERS", "GATEWAY_ALLOWED_USERS") ) _allow_all = os.getenv("GATEWAY_ALLOW_ALL_USERS", "").lower() in ("true", "1", "yes") or any( os.getenv(v, "").lower() in ("true", "1", "yes") for v in ("TELEGRAM_ALLOW_ALL_USERS", "DISCORD_ALLOW_ALL_USERS", "WHATSAPP_ALLOW_ALL_USERS", "SLACK_ALLOW_ALL_USERS", "SIGNAL_ALLOW_ALL_USERS", "EMAIL_ALLOW_ALL_USERS", "SMS_ALLOW_ALL_USERS", "MATTERMOST_ALLOW_ALL_USERS", "MATRIX_ALLOW_ALL_USERS", "DINGTALK_ALLOW_ALL_USERS") ) if not _any_allowlist and not _allow_all: logger.warning( "No user allowlists configured. All unauthorized users will be denied. " "Set GATEWAY_ALLOW_ALL_USERS=true in ~/.hermes/.env to allow open access, " "or configure platform allowlists (e.g., TELEGRAM_ALLOWED_USERS=your_id)." ) # Discover and load event hooks self.hooks.discover_and_load() # Recover background processes from checkpoint (crash recovery) try: from tools.process_registry import process_registry recovered = process_registry.recover_from_checkpoint() if recovered: logger.info("Recovered %s background process(es) from previous run", recovered) except Exception as e: logger.warning("Process checkpoint recovery: %s", e) connected_count = 0 enabled_platform_count = 0 startup_nonretryable_errors: list[str] = [] startup_retryable_errors: list[str] = [] # Initialize and connect each configured platform for platform, platform_config in self.config.platforms.items(): if not platform_config.enabled: continue enabled_platform_count += 1 adapter = self._create_adapter(platform, platform_config) if not adapter: logger.warning("No adapter available for %s", platform.value) continue # Set up message + fatal error handlers adapter.set_message_handler(self._handle_message) adapter.set_fatal_error_handler(self._handle_adapter_fatal_error) # Try to connect logger.info("Connecting to %s...", platform.value) try: success = await adapter.connect() if success: self.adapters[platform] = adapter self._sync_voice_mode_state_to_adapter(adapter) connected_count += 1 logger.info("✓ %s connected", platform.value) else: logger.warning("✗ %s failed to connect", platform.value) if adapter.has_fatal_error: target = ( startup_retryable_errors if adapter.fatal_error_retryable else startup_nonretryable_errors ) target.append( f"{platform.value}: {adapter.fatal_error_message}" ) # Queue for reconnection if the error is retryable if adapter.fatal_error_retryable: self._failed_platforms[platform] = { "config": platform_config, "attempts": 1, "next_retry": time.monotonic() + 30, } else: startup_retryable_errors.append( f"{platform.value}: failed to connect" ) # No fatal error info means likely a transient issue — queue for retry self._failed_platforms[platform] = { "config": platform_config, "attempts": 1, "next_retry": time.monotonic() + 30, } except Exception as e: logger.error("✗ %s error: %s", platform.value, e) startup_retryable_errors.append(f"{platform.value}: {e}") # Unexpected exceptions are typically transient — queue for retry self._failed_platforms[platform] = { "config": platform_config, "attempts": 1, "next_retry": time.monotonic() + 30, } if connected_count == 0: if startup_nonretryable_errors: reason = "; ".join(startup_nonretryable_errors) logger.error("Gateway hit a non-retryable startup conflict: %s", reason) try: from gateway.status import write_runtime_status write_runtime_status(gateway_state="startup_failed", exit_reason=reason) except Exception: pass self._request_clean_exit(reason) return True if enabled_platform_count > 0: reason = "; ".join(startup_retryable_errors) or "all configured messaging platforms failed to connect" logger.error("Gateway failed to connect any configured messaging platform: %s", reason) try: from gateway.status import write_runtime_status write_runtime_status(gateway_state="startup_failed", exit_reason=reason) except Exception: pass return False logger.warning("No messaging platforms enabled.") logger.info("Gateway will continue running for cron job execution.") # Update delivery router with adapters self.delivery_router.adapters = self.adapters self._running = True try: from gateway.status import write_runtime_status write_runtime_status(gateway_state="running", exit_reason=None) except Exception: pass # Emit gateway:startup hook hook_count = len(self.hooks.loaded_hooks) if hook_count: logger.info("%s hook(s) loaded", hook_count) await self.hooks.emit("gateway:startup", { "platforms": [p.value for p in self.adapters.keys()], }) if connected_count > 0: logger.info("Gateway running with %s platform(s)", connected_count) # Build initial channel directory for send_message name resolution try: from gateway.channel_directory import build_channel_directory directory = build_channel_directory(self.adapters) ch_count = sum(len(chs) for chs in directory.get("platforms", {}).values()) logger.info("Channel directory built: %d target(s)", ch_count) except Exception as e: logger.warning("Channel directory build failed: %s", e) # Check if we're restarting after a /update command. If the update is # still running, keep watching so we notify once it actually finishes. notified = await self._send_update_notification() if not notified and any( path.exists() for path in ( _hermes_home / ".update_pending.json", _hermes_home / ".update_pending.claimed.json", ) ): self._schedule_update_notification_watch() # Drain any recovered process watchers (from crash recovery checkpoint) try: from tools.process_registry import process_registry while process_registry.pending_watchers: watcher = process_registry.pending_watchers.pop(0) asyncio.create_task(self._run_process_watcher(watcher)) logger.info("Resumed watcher for recovered process %s", watcher.get("session_id")) except Exception as e: logger.error("Recovered watcher setup error: %s", e) # Start background session expiry watcher for proactive memory flushing asyncio.create_task(self._session_expiry_watcher()) # Start background reconnection watcher for platforms that failed at startup if self._failed_platforms: logger.info( "Starting reconnection watcher for %d failed platform(s): %s", len(self._failed_platforms), ", ".join(p.value for p in self._failed_platforms), ) asyncio.create_task(self._platform_reconnect_watcher()) logger.info("Press Ctrl+C to stop") return True async def _session_expiry_watcher(self, interval: int = 300): """Background task that proactively flushes memories for expired sessions. Runs every `interval` seconds (default 5 min). For each session that has expired according to its reset policy, flushes memories in a thread pool and marks the session so it won't be flushed again. This means memories are already saved by the time the user sends their next message, so there's no blocking delay. """ await asyncio.sleep(60) # initial delay — let the gateway fully start while self._running: try: self.session_store._ensure_loaded() for key, entry in list(self.session_store._entries.items()): if entry.session_id in self.session_store._pre_flushed_sessions: continue # already flushed this session if not self.session_store._is_session_expired(entry): continue # session still active # Session has expired — flush memories in the background logger.info( "Session %s expired (key=%s), flushing memories proactively", entry.session_id, key, ) try: await self._async_flush_memories(entry.session_id, key) self._shutdown_gateway_honcho(key) self.session_store._pre_flushed_sessions.add(entry.session_id) except Exception as e: logger.debug("Proactive memory flush failed for %s: %s", entry.session_id, e) except Exception as e: logger.debug("Session expiry watcher error: %s", e) # Sleep in small increments so we can stop quickly for _ in range(interval): if not self._running: break await asyncio.sleep(1) async def _platform_reconnect_watcher(self) -> None: """Background task that periodically retries connecting failed platforms. Uses exponential backoff: 30s → 60s → 120s → 240s → 300s (cap). Stops retrying a platform after 20 failed attempts or if the error is non-retryable (e.g. bad auth token). """ _MAX_ATTEMPTS = 20 _BACKOFF_CAP = 300 # 5 minutes max between retries await asyncio.sleep(10) # initial delay — let startup finish while self._running: if not self._failed_platforms: # Nothing to reconnect — sleep and check again for _ in range(30): if not self._running: return await asyncio.sleep(1) continue now = time.monotonic() for platform in list(self._failed_platforms.keys()): if not self._running: return info = self._failed_platforms[platform] if now < info["next_retry"]: continue # not time yet if info["attempts"] >= _MAX_ATTEMPTS: logger.warning( "Giving up reconnecting %s after %d attempts", platform.value, info["attempts"], ) del self._failed_platforms[platform] continue platform_config = info["config"] attempt = info["attempts"] + 1 logger.info( "Reconnecting %s (attempt %d/%d)...", platform.value, attempt, _MAX_ATTEMPTS, ) try: adapter = self._create_adapter(platform, platform_config) if not adapter: logger.warning( "Reconnect %s: adapter creation returned None, removing from retry queue", platform.value, ) del self._failed_platforms[platform] continue adapter.set_message_handler(self._handle_message) adapter.set_fatal_error_handler(self._handle_adapter_fatal_error) success = await adapter.connect() if success: self.adapters[platform] = adapter self._sync_voice_mode_state_to_adapter(adapter) self.delivery_router.adapters = self.adapters del self._failed_platforms[platform] logger.info("✓ %s reconnected successfully", platform.value) # Rebuild channel directory with the new adapter try: from gateway.channel_directory import build_channel_directory build_channel_directory(self.adapters) except Exception: pass else: # Check if the failure is non-retryable if adapter.has_fatal_error and not adapter.fatal_error_retryable: logger.warning( "Reconnect %s: non-retryable error (%s), removing from retry queue", platform.value, adapter.fatal_error_message, ) del self._failed_platforms[platform] else: backoff = min(30 * (2 ** (attempt - 1)), _BACKOFF_CAP) info["attempts"] = attempt info["next_retry"] = time.monotonic() + backoff logger.info( "Reconnect %s failed, next retry in %ds", platform.value, backoff, ) except Exception as e: backoff = min(30 * (2 ** (attempt - 1)), _BACKOFF_CAP) info["attempts"] = attempt info["next_retry"] = time.monotonic() + backoff logger.warning( "Reconnect %s error: %s, next retry in %ds", platform.value, e, backoff, ) # Check every 10 seconds for platforms that need reconnection for _ in range(10): if not self._running: return await asyncio.sleep(1) async def stop(self) -> None: """Stop the gateway and disconnect all adapters.""" logger.info("Stopping gateway...") self._running = False for session_key, agent in list(self._running_agents.items()): if agent is _AGENT_PENDING_SENTINEL: continue try: agent.interrupt("Gateway shutting down") logger.debug("Interrupted running agent for session %s during shutdown", session_key[:20]) except Exception as e: logger.debug("Failed interrupting agent during shutdown: %s", e) for platform, adapter in list(self.adapters.items()): try: await adapter.cancel_background_tasks() except Exception as e: logger.debug("✗ %s background-task cancel error: %s", platform.value, e) try: await adapter.disconnect() logger.info("✓ %s disconnected", platform.value) except Exception as e: logger.error("✗ %s disconnect error: %s", platform.value, e) # Cancel any pending background tasks for _task in list(self._background_tasks): _task.cancel() self._background_tasks.clear() self.adapters.clear() self._running_agents.clear() self._pending_messages.clear() self._pending_approvals.clear() self._shutdown_all_gateway_honcho() self._shutdown_event.set() from gateway.status import remove_pid_file, write_runtime_status remove_pid_file() try: write_runtime_status(gateway_state="stopped", exit_reason=self._exit_reason) except Exception: pass logger.info("Gateway stopped") async def wait_for_shutdown(self) -> None: """Wait for shutdown signal.""" await self._shutdown_event.wait() def _create_adapter( self, platform: Platform, config: Any ) -> Optional[BasePlatformAdapter]: """Create the appropriate adapter for a platform.""" if hasattr(config, "extra") and isinstance(config.extra, dict): config.extra.setdefault( "group_sessions_per_user", self.config.group_sessions_per_user, ) if platform == Platform.TELEGRAM: from gateway.platforms.telegram import TelegramAdapter, check_telegram_requirements if not check_telegram_requirements(): logger.warning("Telegram: python-telegram-bot not installed") return None return TelegramAdapter(config) elif platform == Platform.DISCORD: from gateway.platforms.discord import DiscordAdapter, check_discord_requirements if not check_discord_requirements(): logger.warning("Discord: discord.py not installed") return None return DiscordAdapter(config) elif platform == Platform.WHATSAPP: from gateway.platforms.whatsapp import WhatsAppAdapter, check_whatsapp_requirements if not check_whatsapp_requirements(): logger.warning("WhatsApp: Node.js not installed or bridge not configured") return None return WhatsAppAdapter(config) elif platform == Platform.SLACK: from gateway.platforms.slack import SlackAdapter, check_slack_requirements if not check_slack_requirements(): logger.warning("Slack: slack-bolt not installed. Run: pip install 'hermes-agent[slack]'") return None return SlackAdapter(config) elif platform == Platform.SIGNAL: from gateway.platforms.signal import SignalAdapter, check_signal_requirements if not check_signal_requirements(): logger.warning("Signal: SIGNAL_HTTP_URL or SIGNAL_ACCOUNT not configured") return None return SignalAdapter(config) elif platform == Platform.HOMEASSISTANT: from gateway.platforms.homeassistant import HomeAssistantAdapter, check_ha_requirements if not check_ha_requirements(): logger.warning("HomeAssistant: aiohttp not installed or HASS_TOKEN not set") return None return HomeAssistantAdapter(config) elif platform == Platform.EMAIL: from gateway.platforms.email import EmailAdapter, check_email_requirements if not check_email_requirements(): logger.warning("Email: EMAIL_ADDRESS, EMAIL_PASSWORD, EMAIL_IMAP_HOST, or EMAIL_SMTP_HOST not set") return None return EmailAdapter(config) elif platform == Platform.SMS: from gateway.platforms.sms import SmsAdapter, check_sms_requirements if not check_sms_requirements(): logger.warning("SMS: aiohttp not installed or TWILIO_ACCOUNT_SID/TWILIO_AUTH_TOKEN not set") return None return SmsAdapter(config) elif platform == Platform.DINGTALK: from gateway.platforms.dingtalk import DingTalkAdapter, check_dingtalk_requirements if not check_dingtalk_requirements(): logger.warning("DingTalk: dingtalk-stream not installed or DINGTALK_CLIENT_ID/SECRET not set") return None return DingTalkAdapter(config) elif platform == Platform.MATTERMOST: from gateway.platforms.mattermost import MattermostAdapter, check_mattermost_requirements if not check_mattermost_requirements(): logger.warning("Mattermost: MATTERMOST_TOKEN or MATTERMOST_URL not set, or aiohttp missing") return None return MattermostAdapter(config) elif platform == Platform.MATRIX: from gateway.platforms.matrix import MatrixAdapter, check_matrix_requirements if not check_matrix_requirements(): logger.warning("Matrix: matrix-nio not installed or credentials not set. Run: pip install 'matrix-nio[e2e]'") return None return MatrixAdapter(config) elif platform == Platform.API_SERVER: from gateway.platforms.api_server import APIServerAdapter, check_api_server_requirements if not check_api_server_requirements(): logger.warning("API Server: aiohttp not installed") return None return APIServerAdapter(config) elif platform == Platform.WEBHOOK: from gateway.platforms.webhook import WebhookAdapter, check_webhook_requirements if not check_webhook_requirements(): logger.warning("Webhook: aiohttp not installed") return None adapter = WebhookAdapter(config) adapter.gateway_runner = self # For cross-platform delivery return adapter return None def _is_user_authorized(self, source: SessionSource) -> bool: """ Check if a user is authorized to use the bot. Checks in order: 1. Per-platform allow-all flag (e.g., DISCORD_ALLOW_ALL_USERS=true) 2. Environment variable allowlists (TELEGRAM_ALLOWED_USERS, etc.) 3. DM pairing approved list 4. Global allow-all (GATEWAY_ALLOW_ALL_USERS=true) 5. Default: deny """ # Home Assistant events are system-generated (state changes), not # user-initiated messages. The HASS_TOKEN already authenticates the # connection, so HA events are always authorized. # Webhook events are authenticated via HMAC signature validation in # the adapter itself — no user allowlist applies. if source.platform in (Platform.HOMEASSISTANT, Platform.WEBHOOK): return True user_id = source.user_id if not user_id: return False platform_env_map = { Platform.TELEGRAM: "TELEGRAM_ALLOWED_USERS", Platform.DISCORD: "DISCORD_ALLOWED_USERS", Platform.WHATSAPP: "WHATSAPP_ALLOWED_USERS", Platform.SLACK: "SLACK_ALLOWED_USERS", Platform.SIGNAL: "SIGNAL_ALLOWED_USERS", Platform.EMAIL: "EMAIL_ALLOWED_USERS", Platform.SMS: "SMS_ALLOWED_USERS", Platform.MATTERMOST: "MATTERMOST_ALLOWED_USERS", Platform.MATRIX: "MATRIX_ALLOWED_USERS", Platform.DINGTALK: "DINGTALK_ALLOWED_USERS", } platform_allow_all_map = { Platform.TELEGRAM: "TELEGRAM_ALLOW_ALL_USERS", Platform.DISCORD: "DISCORD_ALLOW_ALL_USERS", Platform.WHATSAPP: "WHATSAPP_ALLOW_ALL_USERS", Platform.SLACK: "SLACK_ALLOW_ALL_USERS", Platform.SIGNAL: "SIGNAL_ALLOW_ALL_USERS", Platform.EMAIL: "EMAIL_ALLOW_ALL_USERS", Platform.SMS: "SMS_ALLOW_ALL_USERS", Platform.MATTERMOST: "MATTERMOST_ALLOW_ALL_USERS", Platform.MATRIX: "MATRIX_ALLOW_ALL_USERS", Platform.DINGTALK: "DINGTALK_ALLOW_ALL_USERS", } # Per-platform allow-all flag (e.g., DISCORD_ALLOW_ALL_USERS=true) platform_allow_all_var = platform_allow_all_map.get(source.platform, "") if platform_allow_all_var and os.getenv(platform_allow_all_var, "").lower() in ("true", "1", "yes"): return True # Check pairing store (always checked, regardless of allowlists) platform_name = source.platform.value if source.platform else "" if self.pairing_store.is_approved(platform_name, user_id): return True # Check platform-specific and global allowlists platform_allowlist = os.getenv(platform_env_map.get(source.platform, ""), "").strip() global_allowlist = os.getenv("GATEWAY_ALLOWED_USERS", "").strip() if not platform_allowlist and not global_allowlist: # No allowlists configured -- check global allow-all flag return os.getenv("GATEWAY_ALLOW_ALL_USERS", "").lower() in ("true", "1", "yes") # Check if user is in any allowlist allowed_ids = set() if platform_allowlist: allowed_ids.update(uid.strip() for uid in platform_allowlist.split(",") if uid.strip()) if global_allowlist: allowed_ids.update(uid.strip() for uid in global_allowlist.split(",") if uid.strip()) # WhatsApp JIDs have @s.whatsapp.net suffix — strip it for comparison check_ids = {user_id} if "@" in user_id: check_ids.add(user_id.split("@")[0]) return bool(check_ids & allowed_ids) def _get_unauthorized_dm_behavior(self, platform: Optional[Platform]) -> str: """Return how unauthorized DMs should be handled for a platform.""" config = getattr(self, "config", None) if config and hasattr(config, "get_unauthorized_dm_behavior"): return config.get_unauthorized_dm_behavior(platform) return "pair" async def _handle_message(self, event: MessageEvent) -> Optional[str]: """ Handle an incoming message from any platform. This is the core message processing pipeline: 1. Check user authorization 2. Check for commands (/new, /reset, etc.) 3. Check for running agent and interrupt if needed 4. Get or create session 5. Build context for agent 6. Run agent conversation 7. Return response """ source = event.source # Check if user is authorized if not self._is_user_authorized(source): logger.warning("Unauthorized user: %s (%s) on %s", source.user_id, source.user_name, source.platform.value) # In DMs: offer pairing code. In groups: silently ignore. if source.chat_type == "dm" and self._get_unauthorized_dm_behavior(source.platform) == "pair": platform_name = source.platform.value if source.platform else "unknown" code = self.pairing_store.generate_code( platform_name, source.user_id, source.user_name or "" ) if code: adapter = self.adapters.get(source.platform) if adapter: await adapter.send( source.chat_id, f"Hi~ I don't recognize you yet!\n\n" f"Here's your pairing code: `{code}`\n\n" f"Ask the bot owner to run:\n" f"`hermes pairing approve {platform_name} {code}`" ) else: adapter = self.adapters.get(source.platform) if adapter: await adapter.send( source.chat_id, "Too many pairing requests right now~ " "Please try again later!" ) return None # PRIORITY handling when an agent is already running for this session. # Default behavior is to interrupt immediately so user text/stop messages # are handled with minimal latency. # # Special case: Telegram/photo bursts often arrive as multiple near- # simultaneous updates. Do NOT interrupt for photo-only follow-ups here; # let the adapter-level batching/queueing logic absorb them. _quick_key = self._session_key_for_source(source) if _quick_key in self._running_agents: if event.get_command() == "status": return await self._handle_status_command(event) # Resolve the command once for all early-intercept checks below. from hermes_cli.commands import resolve_command as _resolve_cmd_inner _evt_cmd = event.get_command() _cmd_def_inner = _resolve_cmd_inner(_evt_cmd) if _evt_cmd else None # /stop must hard-kill the session when an agent is running. # A soft interrupt (agent.interrupt()) doesn't help when the agent # is truly hung — the executor thread is blocked and never checks # _interrupt_requested. Force-clean _running_agents so the session # is unlocked and subsequent messages are processed normally. if _cmd_def_inner and _cmd_def_inner.name == "stop": running_agent = self._running_agents.get(_quick_key) if running_agent and running_agent is not _AGENT_PENDING_SENTINEL: running_agent.interrupt("Stop requested") # Force-clean: remove the session lock regardless of agent state adapter = self.adapters.get(source.platform) if adapter and hasattr(adapter, 'get_pending_message'): adapter.get_pending_message(_quick_key) # consume and discard self._pending_messages.pop(_quick_key, None) if _quick_key in self._running_agents: del self._running_agents[_quick_key] logger.info("HARD STOP for session %s — session lock released", _quick_key[:20]) return "⚡ Force-stopped. The session is unlocked — you can send a new message." # /reset and /new must bypass the running-agent guard so they # actually dispatch as commands instead of being queued as user # text (which would be fed back to the agent with the same # broken history — #2170). Interrupt the agent first, then # clear the adapter's pending queue so the stale "/reset" text # doesn't get re-processed as a user message after the # interrupt completes. if _cmd_def_inner and _cmd_def_inner.name == "new": running_agent = self._running_agents.get(_quick_key) if running_agent and running_agent is not _AGENT_PENDING_SENTINEL: running_agent.interrupt("Session reset requested") # Clear any pending messages so the old text doesn't replay adapter = self.adapters.get(source.platform) if adapter and hasattr(adapter, 'get_pending_message'): adapter.get_pending_message(_quick_key) # consume and discard self._pending_messages.pop(_quick_key, None) # Clean up the running agent entry so the reset handler # doesn't think an agent is still active. if _quick_key in self._running_agents: del self._running_agents[_quick_key] return await self._handle_reset_command(event) # /queue — queue without interrupting if event.get_command() in ("queue", "q"): queued_text = event.get_command_args().strip() if not queued_text: return "Usage: /queue " adapter = self.adapters.get(source.platform) if adapter: from gateway.platforms.base import MessageEvent as _ME, MessageType as _MT queued_event = _ME( text=queued_text, message_type=_MT.TEXT, source=event.source, message_id=event.message_id, ) adapter._pending_messages[_quick_key] = queued_event return "Queued for the next turn." if event.message_type == MessageType.PHOTO: logger.debug("PRIORITY photo follow-up for session %s — queueing without interrupt", _quick_key[:20]) adapter = self.adapters.get(source.platform) if adapter: # Reuse adapter queue semantics so photo bursts merge cleanly. if _quick_key in adapter._pending_messages: existing = adapter._pending_messages[_quick_key] if getattr(existing, "message_type", None) == MessageType.PHOTO: existing.media_urls.extend(event.media_urls) existing.media_types.extend(event.media_types) if event.text: if not existing.text: existing.text = event.text elif event.text not in existing.text: existing.text = f"{existing.text}\n\n{event.text}".strip() else: adapter._pending_messages[_quick_key] = event else: adapter._pending_messages[_quick_key] = event return None running_agent = self._running_agents.get(_quick_key) if running_agent is _AGENT_PENDING_SENTINEL: # Agent is being set up but not ready yet. if event.get_command() == "stop": # Force-clean the sentinel so the session is unlocked. if _quick_key in self._running_agents: del self._running_agents[_quick_key] logger.info("HARD STOP (pending) for session %s — sentinel cleared", _quick_key[:20]) return "⚡ Force-stopped. The agent was still starting — session unlocked." # Queue the message so it will be picked up after the # agent starts. adapter = self.adapters.get(source.platform) if adapter: adapter._pending_messages[_quick_key] = event return None logger.debug("PRIORITY interrupt for session %s", _quick_key[:20]) running_agent.interrupt(event.text) if _quick_key in self._pending_messages: self._pending_messages[_quick_key] += "\n" + event.text else: self._pending_messages[_quick_key] = event.text return None # Check for commands command = event.get_command() # Emit command:* hook for any recognized slash command. # GATEWAY_KNOWN_COMMANDS is derived from the central COMMAND_REGISTRY # in hermes_cli/commands.py — no hardcoded set to maintain here. from hermes_cli.commands import GATEWAY_KNOWN_COMMANDS, resolve_command as _resolve_cmd if command and command in GATEWAY_KNOWN_COMMANDS: await self.hooks.emit(f"command:{command}", { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "command": command, "args": event.get_command_args().strip(), }) # Resolve aliases to canonical name so dispatch only checks canonicals. _cmd_def = _resolve_cmd(command) if command else None canonical = _cmd_def.name if _cmd_def else command if canonical == "new": return await self._handle_reset_command(event) if canonical == "help": return await self._handle_help_command(event) if canonical == "status": return await self._handle_status_command(event) if canonical == "stop": return await self._handle_stop_command(event) if canonical == "reasoning": return await self._handle_reasoning_command(event) if canonical == "verbose": return await self._handle_verbose_command(event) if canonical == "provider": return await self._handle_provider_command(event) if canonical == "personality": return await self._handle_personality_command(event) if canonical == "plan": try: from agent.skill_commands import build_plan_path, build_skill_invocation_message user_instruction = event.get_command_args().strip() plan_path = build_plan_path(user_instruction) event.text = build_skill_invocation_message( "/plan", user_instruction, task_id=_quick_key, runtime_note=( "Save the markdown plan with write_file to this exact relative path " f"inside the active workspace/backend cwd: {plan_path}" ), ) if not event.text: return "Failed to load the bundled /plan skill." canonical = None except Exception as e: logger.exception("Failed to prepare /plan command") return f"Failed to enter plan mode: {e}" if canonical == "retry": return await self._handle_retry_command(event) if canonical == "undo": return await self._handle_undo_command(event) if canonical == "sethome": return await self._handle_set_home_command(event) if canonical == "compress": return await self._handle_compress_command(event) if canonical == "usage": return await self._handle_usage_command(event) if canonical == "insights": return await self._handle_insights_command(event) if canonical == "reload-mcp": return await self._handle_reload_mcp_command(event) if canonical == "approve": return await self._handle_approve_command(event) if canonical == "deny": return await self._handle_deny_command(event) if canonical == "update": return await self._handle_update_command(event) if canonical == "title": return await self._handle_title_command(event) if canonical == "resume": return await self._handle_resume_command(event) if canonical == "rollback": return await self._handle_rollback_command(event) if canonical == "background": return await self._handle_background_command(event) if canonical == "voice": return await self._handle_voice_command(event) # User-defined quick commands (bypass agent loop, no LLM call) if command: if isinstance(self.config, dict): quick_commands = self.config.get("quick_commands", {}) or {} else: quick_commands = getattr(self.config, "quick_commands", {}) or {} if not isinstance(quick_commands, dict): quick_commands = {} if command in quick_commands: qcmd = quick_commands[command] if qcmd.get("type") == "exec": exec_cmd = qcmd.get("command", "") if exec_cmd: try: proc = await asyncio.create_subprocess_shell( exec_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE, ) stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=30) output = (stdout or stderr).decode().strip() return output if output else "Command returned no output." except asyncio.TimeoutError: return "Quick command timed out (30s)." except Exception as e: return f"Quick command error: {e}" else: return f"Quick command '/{command}' has no command defined." elif qcmd.get("type") == "alias": target = qcmd.get("target", "").strip() if target: target = target if target.startswith("/") else f"/{target}" target_command = target.lstrip("/") user_args = event.get_command_args().strip() event.text = f"{target} {user_args}".strip() command = target_command # Fall through to normal command dispatch below else: return f"Quick command '/{command}' has no target defined." else: return f"Quick command '/{command}' has unsupported type (supported: 'exec', 'alias')." # Plugin-registered slash commands if command: try: from hermes_cli.plugins import get_plugin_command_handler plugin_handler = get_plugin_command_handler(command) if plugin_handler: user_args = event.get_command_args().strip() import asyncio as _aio result = plugin_handler(user_args) if _aio.iscoroutine(result): result = await result return str(result) if result else None except Exception as e: logger.debug("Plugin command dispatch failed (non-fatal): %s", e) # Skill slash commands: /skill-name loads the skill and sends to agent if command: try: from agent.skill_commands import get_skill_commands, build_skill_invocation_message skill_cmds = get_skill_commands() cmd_key = f"/{command}" if cmd_key in skill_cmds: user_instruction = event.get_command_args().strip() msg = build_skill_invocation_message( cmd_key, user_instruction, task_id=_quick_key ) if msg: event.text = msg # Fall through to normal message processing with skill content except Exception as e: logger.debug("Skill command check failed (non-fatal): %s", e) # Pending exec approvals are handled by /approve and /deny commands above. # No bare text matching — "yes" in normal conversation must not trigger # execution of a dangerous command. # ── Claim this session before any await ─────────────────────── # Between here and _run_agent registering the real AIAgent, there # are numerous await points (hooks, vision enrichment, STT, # session hygiene compression). Without this sentinel a second # message arriving during any of those yields would pass the # "already running" guard and spin up a duplicate agent for the # same session — corrupting the transcript. self._running_agents[_quick_key] = _AGENT_PENDING_SENTINEL try: return await self._handle_message_with_agent(event, source, _quick_key) finally: # If _run_agent replaced the sentinel with a real agent and # then cleaned it up, this is a no-op. If we exited early # (exception, command fallthrough, etc.) the sentinel must # not linger or the session would be permanently locked out. if self._running_agents.get(_quick_key) is _AGENT_PENDING_SENTINEL: del self._running_agents[_quick_key] async def _handle_message_with_agent(self, event, source, _quick_key: str): """Inner handler that runs under the _running_agents sentinel guard.""" # Get or create session session_entry = self.session_store.get_or_create_session(source) session_key = session_entry.session_key # Emit session:start for new or auto-reset sessions _is_new_session = ( session_entry.created_at == session_entry.updated_at or getattr(session_entry, "was_auto_reset", False) ) if _is_new_session: await self.hooks.emit("session:start", { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "session_id": session_entry.session_id, "session_key": session_key, }) # Build session context context = build_session_context(source, self.config, session_entry) # Set environment variables for tools self._set_session_env(context) # Read privacy.redact_pii from config (re-read per message) _redact_pii = False try: import yaml as _pii_yaml with open(_config_path, encoding="utf-8") as _pf: _pcfg = _pii_yaml.safe_load(_pf) or {} _redact_pii = bool((_pcfg.get("privacy") or {}).get("redact_pii", False)) except Exception: pass # Build the context prompt to inject context_prompt = build_session_context_prompt(context, redact_pii=_redact_pii) # If the previous session expired and was auto-reset, prepend a notice # so the agent knows this is a fresh conversation (not an intentional /reset). if getattr(session_entry, 'was_auto_reset', False): reset_reason = getattr(session_entry, 'auto_reset_reason', None) or 'idle' if reset_reason == "daily": context_note = "[System note: The user's session was automatically reset by the daily schedule. This is a fresh conversation with no prior context.]" else: context_note = "[System note: The user's previous session expired due to inactivity. This is a fresh conversation with no prior context.]" context_prompt = context_note + "\n\n" + context_prompt # Send a user-facing notification explaining the reset, unless: # - notifications are disabled in config # - the platform is excluded (e.g. api_server, webhook) # - the expired session had no activity (nothing was cleared) try: policy = self.session_store.config.get_reset_policy( platform=source.platform, session_type=getattr(source, 'chat_type', 'dm'), ) platform_name = source.platform.value if source.platform else "" had_activity = getattr(session_entry, 'reset_had_activity', False) should_notify = ( policy.notify and had_activity and platform_name not in policy.notify_exclude_platforms ) if should_notify: adapter = self.adapters.get(source.platform) if adapter: if reset_reason == "daily": reason_text = f"daily schedule at {policy.at_hour}:00" else: hours = policy.idle_minutes // 60 mins = policy.idle_minutes % 60 duration = f"{hours}h" if not mins else f"{hours}h {mins}m" if hours else f"{mins}m" reason_text = f"inactive for {duration}" notice = ( f"◐ Session automatically reset ({reason_text}). " f"Conversation history cleared.\n" f"Use /resume to browse and restore a previous session.\n" f"Adjust reset timing in config.yaml under session_reset." ) try: session_info = self._format_session_info() if session_info: notice = f"{notice}\n\n{session_info}" except Exception: pass await adapter.send( source.chat_id, notice, metadata=getattr(event, 'metadata', None), ) except Exception as e: logger.debug("Auto-reset notification failed (non-fatal): %s", e) session_entry.was_auto_reset = False session_entry.auto_reset_reason = None # Auto-load skill for DM topic bindings (e.g., Telegram Private Chat Topics) # Only inject on NEW sessions — for ongoing conversations the skill content # is already in the conversation history from the first message. if _is_new_session and getattr(event, "auto_skill", None): try: from agent.skill_commands import _load_skill_payload, _build_skill_message _skill_name = event.auto_skill _loaded = _load_skill_payload(_skill_name, task_id=_quick_key) if _loaded: _loaded_skill, _skill_dir, _display_name = _loaded _activation_note = ( f'[SYSTEM: This conversation is in a topic with the "{_display_name}" skill ' f"auto-loaded. Follow its instructions for the duration of this session.]" ) _skill_msg = _build_skill_message( _loaded_skill, _skill_dir, _activation_note, user_instruction=event.text, ) if _skill_msg: event.text = _skill_msg logger.info( "[Gateway] Auto-loaded skill '%s' for DM topic session %s", _skill_name, session_key, ) else: logger.warning( "[Gateway] DM topic skill '%s' not found in available skills", _skill_name, ) except Exception as e: logger.warning("[Gateway] Failed to auto-load topic skill '%s': %s", event.auto_skill, e) # Load conversation history from transcript history = self.session_store.load_transcript(session_entry.session_id) # ----------------------------------------------------------------- # Session hygiene: auto-compress pathologically large transcripts # # Long-lived gateway sessions can accumulate enough history that # every new message rehydrates an oversized transcript, causing # repeated truncation/context failures. Detect this early and # compress proactively — before the agent even starts. (#628) # # Token source priority: # 1. Actual API-reported prompt_tokens from the last turn # (stored in session_entry.last_prompt_tokens) # 2. Rough char-based estimate (str(msg)//4). Overestimates # by 30-50% on code/JSON-heavy sessions, but that just # means hygiene fires a bit early — safe and harmless. # ----------------------------------------------------------------- if history and len(history) >= 4: from agent.model_metadata import ( estimate_messages_tokens_rough, get_model_context_length, ) # Read model + compression config from config.yaml. # NOTE: hygiene threshold is intentionally HIGHER than the agent's # own compressor (0.85 vs 0.50). Hygiene is a safety net for # sessions that grew too large between turns — it fires pre-agent # to prevent API failures. The agent's own compressor handles # normal context management during its tool loop with accurate # real token counts. Having hygiene at 0.50 caused premature # compression on every turn in long gateway sessions. _hyg_model = "anthropic/claude-sonnet-4.6" _hyg_threshold_pct = 0.85 _hyg_compression_enabled = True _hyg_config_context_length = None _hyg_provider = None _hyg_base_url = None _hyg_api_key = None try: _hyg_cfg_path = _hermes_home / "config.yaml" if _hyg_cfg_path.exists(): import yaml as _hyg_yaml with open(_hyg_cfg_path, encoding="utf-8") as _hyg_f: _hyg_data = _hyg_yaml.safe_load(_hyg_f) or {} # Resolve model name (same logic as run_sync) _model_cfg = _hyg_data.get("model", {}) if isinstance(_model_cfg, str): _hyg_model = _model_cfg elif isinstance(_model_cfg, dict): _hyg_model = _model_cfg.get("default", _hyg_model) # Read explicit context_length override from model config # (same as run_agent.py lines 995-1005) _raw_ctx = _model_cfg.get("context_length") if _raw_ctx is not None: try: _hyg_config_context_length = int(_raw_ctx) except (TypeError, ValueError): pass # Read provider for accurate context detection _hyg_provider = _model_cfg.get("provider") or None _hyg_base_url = _model_cfg.get("base_url") or None # Read compression settings — only use enabled flag. # The threshold is intentionally separate from the agent's # compression.threshold (hygiene runs higher). _comp_cfg = _hyg_data.get("compression", {}) if isinstance(_comp_cfg, dict): _hyg_compression_enabled = str( _comp_cfg.get("enabled", True) ).lower() in ("true", "1", "yes") # Resolve provider/base_url from runtime if not in config if not _hyg_provider or not _hyg_base_url: try: _hyg_runtime = _resolve_runtime_agent_kwargs() _hyg_provider = _hyg_provider or _hyg_runtime.get("provider") _hyg_base_url = _hyg_base_url or _hyg_runtime.get("base_url") _hyg_api_key = _hyg_runtime.get("api_key") except Exception: pass except Exception: pass if _hyg_compression_enabled: _hyg_context_length = get_model_context_length( _hyg_model, base_url=_hyg_base_url or "", api_key=_hyg_api_key or "", config_context_length=_hyg_config_context_length, provider=_hyg_provider or "", ) _compress_token_threshold = int( _hyg_context_length * _hyg_threshold_pct ) _warn_token_threshold = int(_hyg_context_length * 0.95) _msg_count = len(history) # Prefer actual API-reported tokens from the last turn # (stored in session entry) over the rough char-based estimate. _stored_tokens = session_entry.last_prompt_tokens if _stored_tokens > 0: _approx_tokens = _stored_tokens _token_source = "actual" else: _approx_tokens = estimate_messages_tokens_rough(history) _token_source = "estimated" # Note: rough estimates overestimate by 30-50% for code/JSON-heavy # sessions, but that just means hygiene fires a bit early — which # is safe and harmless. The 85% threshold already provides ample # headroom (agent's own compressor runs at 50%). A previous 1.4x # multiplier tried to compensate by inflating the threshold, but # 85% * 1.4 = 119% of context — which exceeds the model's limit # and prevented hygiene from ever firing for ~200K models (GLM-5). _needs_compress = _approx_tokens >= _compress_token_threshold if _needs_compress: logger.info( "Session hygiene: %s messages, ~%s tokens (%s) — auto-compressing " "(threshold: %s%% of %s = %s tokens)", _msg_count, f"{_approx_tokens:,}", _token_source, int(_hyg_threshold_pct * 100), f"{_hyg_context_length:,}", f"{_compress_token_threshold:,}", ) _hyg_adapter = self.adapters.get(source.platform) _hyg_meta = {"thread_id": source.thread_id} if source.thread_id else None if _hyg_adapter: try: await _hyg_adapter.send( source.chat_id, f"🗜️ Session is large ({_msg_count} messages, " f"~{_approx_tokens:,} tokens). Auto-compressing...", metadata=_hyg_meta, ) except Exception: pass try: from run_agent import AIAgent _hyg_runtime = _resolve_runtime_agent_kwargs() if _hyg_runtime.get("api_key"): _hyg_msgs = [ {"role": m.get("role"), "content": m.get("content")} for m in history if m.get("role") in ("user", "assistant") and m.get("content") ] if len(_hyg_msgs) >= 4: _hyg_agent = AIAgent( **_hyg_runtime, model=_hyg_model, max_iterations=4, quiet_mode=True, enabled_toolsets=["memory"], session_id=session_entry.session_id, ) _hyg_agent._print_fn = lambda *a, **kw: None loop = asyncio.get_event_loop() _compressed, _ = await loop.run_in_executor( None, lambda: _hyg_agent._compress_context( _hyg_msgs, "", approx_tokens=_approx_tokens, ), ) # _compress_context ends the old session and creates # a new session_id. Write compressed messages into # the NEW session so the old transcript stays intact # and searchable via session_search. _hyg_new_sid = _hyg_agent.session_id if _hyg_new_sid != session_entry.session_id: session_entry.session_id = _hyg_new_sid self.session_store._save() self.session_store.rewrite_transcript( session_entry.session_id, _compressed ) # Reset stored token count — transcript was rewritten session_entry.last_prompt_tokens = 0 history = _compressed _new_count = len(_compressed) _new_tokens = estimate_messages_tokens_rough( _compressed ) logger.info( "Session hygiene: compressed %s → %s msgs, " "~%s → ~%s tokens", _msg_count, _new_count, f"{_approx_tokens:,}", f"{_new_tokens:,}", ) if _hyg_adapter: try: await _hyg_adapter.send( source.chat_id, f"🗜️ Compressed: {_msg_count} → " f"{_new_count} messages, " f"~{_approx_tokens:,} → " f"~{_new_tokens:,} tokens", metadata=_hyg_meta, ) except Exception: pass # Still too large after compression — warn user if _new_tokens >= _warn_token_threshold: logger.warning( "Session hygiene: still ~%s tokens after " "compression — suggesting /reset", f"{_new_tokens:,}", ) if _hyg_adapter: try: await _hyg_adapter.send( source.chat_id, "⚠️ Session is still very large " "after compression " f"(~{_new_tokens:,} tokens). " "Consider using /reset to start " "fresh if you experience issues.", metadata=_hyg_meta, ) except Exception: pass except Exception as e: logger.warning( "Session hygiene auto-compress failed: %s", e ) # Compression failed and session is dangerously large if _approx_tokens >= _warn_token_threshold: _hyg_adapter = self.adapters.get(source.platform) _hyg_meta = {"thread_id": source.thread_id} if source.thread_id else None if _hyg_adapter: try: await _hyg_adapter.send( source.chat_id, f"⚠️ Session is very large " f"({_msg_count} messages, " f"~{_approx_tokens:,} tokens) and " "auto-compression failed. Consider " "using /compress or /reset to avoid " "issues.", metadata=_hyg_meta, ) except Exception: pass # First-message onboarding -- only on the very first interaction ever if not history and not self.session_store.has_any_sessions(): context_prompt += ( "\n\n[System note: This is the user's very first message ever. " "Briefly introduce yourself and mention that /help shows available commands. " "Keep the introduction concise -- one or two sentences max.]" ) # One-time prompt if no home channel is set for this platform if not history and source.platform and source.platform != Platform.LOCAL: platform_name = source.platform.value env_key = f"{platform_name.upper()}_HOME_CHANNEL" if not os.getenv(env_key): adapter = self.adapters.get(source.platform) if adapter: await adapter.send( source.chat_id, f"📬 No home channel is set for {platform_name.title()}. " f"A home channel is where Hermes delivers cron job results " f"and cross-platform messages.\n\n" f"Type /sethome to make this chat your home channel, " f"or ignore to skip." ) # ----------------------------------------------------------------- # Voice channel awareness — inject current voice channel state # into context so the agent knows who is in the channel and who # is speaking, without needing a separate tool call. # ----------------------------------------------------------------- if source.platform == Platform.DISCORD: adapter = self.adapters.get(Platform.DISCORD) guild_id = self._get_guild_id(event) if guild_id and adapter and hasattr(adapter, "get_voice_channel_context"): vc_context = adapter.get_voice_channel_context(guild_id) if vc_context: context_prompt += f"\n\n{vc_context}" # ----------------------------------------------------------------- # Auto-analyze images sent by the user # # If the user attached image(s), we run the vision tool eagerly so # the conversation model always receives a text description. The # local file path is also included so the model can re-examine the # image later with a more targeted question via vision_analyze. # # We filter to image paths only (by media_type) so that non-image # attachments (documents, audio, etc.) are not sent to the vision # tool even when they appear in the same message. # ----------------------------------------------------------------- message_text = event.text or "" if event.media_urls: image_paths = [] for i, path in enumerate(event.media_urls): # Check media_types if available; otherwise infer from message type mtype = event.media_types[i] if i < len(event.media_types) else "" is_image = ( mtype.startswith("image/") or event.message_type == MessageType.PHOTO ) if is_image: image_paths.append(path) if image_paths: message_text = await self._enrich_message_with_vision( message_text, image_paths ) # ----------------------------------------------------------------- # Auto-transcribe voice/audio messages sent by the user # ----------------------------------------------------------------- if event.media_urls: audio_paths = [] for i, path in enumerate(event.media_urls): mtype = event.media_types[i] if i < len(event.media_types) else "" is_audio = ( mtype.startswith("audio/") or event.message_type in (MessageType.VOICE, MessageType.AUDIO) ) if is_audio: audio_paths.append(path) if audio_paths: message_text = await self._enrich_message_with_transcription( message_text, audio_paths ) # If STT failed, send a direct message to the user so they # know voice isn't configured — don't rely on the agent to # relay the error clearly. _stt_fail_markers = ( "No STT provider", "STT is disabled", "can't listen", "VOICE_TOOLS_OPENAI_KEY", ) if any(m in message_text for m in _stt_fail_markers): _stt_adapter = self.adapters.get(source.platform) _stt_meta = {"thread_id": source.thread_id} if source.thread_id else None if _stt_adapter: try: _stt_msg = ( "🎤 I received your voice message but can't transcribe it — " "no speech-to-text provider is configured.\n\n" "To enable voice: install faster-whisper " "(`pip install faster-whisper` in the Hermes venv) " "and set `stt.enabled: true` in config.yaml, " "then /restart the gateway." ) # Point to setup skill if it's installed if self._has_setup_skill(): _stt_msg += "\n\nFor full setup instructions, type: `/skill hermes-agent-setup`" await _stt_adapter.send( source.chat_id, _stt_msg, metadata=_stt_meta, ) except Exception: pass # ----------------------------------------------------------------- # Enrich document messages with context notes for the agent # ----------------------------------------------------------------- if event.media_urls and event.message_type == MessageType.DOCUMENT: for i, path in enumerate(event.media_urls): mtype = event.media_types[i] if i < len(event.media_types) else "" if not (mtype.startswith("application/") or mtype.startswith("text/")): continue # Extract display filename by stripping the doc_{uuid12}_ prefix import os as _os basename = _os.path.basename(path) # Format: doc_<12hex>_ parts = basename.split("_", 2) display_name = parts[2] if len(parts) >= 3 else basename # Sanitize to prevent prompt injection via filenames import re as _re display_name = _re.sub(r'[^\w.\- ]', '_', display_name) if mtype.startswith("text/"): context_note = ( f"[The user sent a text document: '{display_name}'. " f"Its content has been included below. " f"The file is also saved at: {path}]" ) else: context_note = ( f"[The user sent a document: '{display_name}'. " f"The file is saved at: {path}. " f"Ask the user what they'd like you to do with it.]" ) message_text = f"{context_note}\n\n{message_text}" # ----------------------------------------------------------------- # Inject reply context when user replies to a message not in history. # Telegram (and other platforms) let users reply to specific messages, # but if the quoted message is from a previous session, cron delivery, # or background task, the agent has no context about what's being # referenced. Prepend the quoted text so the agent understands. (#1594) # ----------------------------------------------------------------- if getattr(event, 'reply_to_text', None) and event.reply_to_message_id: reply_snippet = event.reply_to_text[:500] found_in_history = any( reply_snippet[:200] in (msg.get("content") or "") for msg in history if msg.get("role") in ("assistant", "user", "tool") ) if not found_in_history: message_text = f'[Replying to: "{reply_snippet}"]\n\n{message_text}' try: # Emit agent:start hook hook_ctx = { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "session_id": session_entry.session_id, "message": message_text[:500], } await self.hooks.emit("agent:start", hook_ctx) # Expand @ context references (@file:, @folder:, @diff, etc.) if "@" in message_text: try: from agent.context_references import preprocess_context_references_async from agent.model_metadata import get_model_context_length _msg_cwd = os.environ.get("MESSAGING_CWD", os.path.expanduser("~")) _msg_ctx_len = get_model_context_length( self._model, base_url=self._base_url or "") _ctx_result = await preprocess_context_references_async( message_text, cwd=_msg_cwd, context_length=_msg_ctx_len, allowed_root=_msg_cwd) if _ctx_result.blocked: _adapter = self.adapters.get(source.platform) if _adapter: await _adapter.send( source.chat_id, "\n".join(_ctx_result.warnings) or "Context injection refused.", ) return if _ctx_result.expanded: message_text = _ctx_result.message except Exception as exc: logger.debug("@ context reference expansion failed: %s", exc) # Run the agent agent_result = await self._run_agent( message=message_text, context_prompt=context_prompt, history=history, source=source, session_id=session_entry.session_id, session_key=session_key, event_message_id=event.message_id, ) # Stop persistent typing indicator now that the agent is done try: _typing_adapter = self.adapters.get(source.platform) if _typing_adapter and hasattr(_typing_adapter, "stop_typing"): await _typing_adapter.stop_typing(source.chat_id) except Exception: pass response = agent_result.get("final_response") or "" agent_messages = agent_result.get("messages", []) # Surface error details when the agent failed silently (final_response=None) if not response and agent_result.get("failed"): error_detail = agent_result.get("error", "unknown error") error_str = str(error_detail).lower() # Detect context-overflow failures and give specific guidance. # Generic 400 "Error" from Anthropic with large sessions is the # most common cause of this (#1630). _is_ctx_fail = any(p in error_str for p in ( "context", "token", "too large", "too long", "exceed", "payload", )) or ( "400" in error_str and len(history) > 50 ) if _is_ctx_fail: response = ( "⚠️ Session too large for the model's context window.\n" "Use /compact to compress the conversation, or " "/reset to start fresh." ) else: response = ( f"The request failed: {str(error_detail)[:300]}\n" "Try again or use /reset to start a fresh session." ) # If the agent's session_id changed during compression, update # session_entry so transcript writes below go to the right session. if agent_result.get("session_id") and agent_result["session_id"] != session_entry.session_id: session_entry.session_id = agent_result["session_id"] # Prepend reasoning/thinking if display is enabled if getattr(self, "_show_reasoning", False) and response: last_reasoning = agent_result.get("last_reasoning") if last_reasoning: # Collapse long reasoning to keep messages readable lines = last_reasoning.strip().splitlines() if len(lines) > 15: display_reasoning = "\n".join(lines[:15]) display_reasoning += f"\n_... ({len(lines) - 15} more lines)_" else: display_reasoning = last_reasoning.strip() response = f"💭 **Reasoning:**\n```\n{display_reasoning}\n```\n\n{response}" # Emit agent:end hook await self.hooks.emit("agent:end", { **hook_ctx, "response": (response or "")[:500], }) # Check for pending process watchers (check_interval on background processes) try: from tools.process_registry import process_registry while process_registry.pending_watchers: watcher = process_registry.pending_watchers.pop(0) asyncio.create_task(self._run_process_watcher(watcher)) except Exception as e: logger.error("Process watcher setup error: %s", e) # Check if the agent encountered a dangerous command needing approval try: from tools.approval import pop_pending import time as _time pending = pop_pending(session_key) if pending: pending["timestamp"] = _time.time() self._pending_approvals[session_key] = pending # Append structured instructions so the user knows how to respond cmd_preview = pending.get("command", "") if len(cmd_preview) > 200: cmd_preview = cmd_preview[:200] + "..." approval_hint = ( f"\n\n⚠️ **Dangerous command requires approval:**\n" f"```\n{cmd_preview}\n```\n" f"Reply `/approve` to execute, `/approve session` to approve this pattern " f"for the session, or `/deny` to cancel." ) response = (response or "") + approval_hint except Exception as e: logger.debug("Failed to check pending approvals: %s", e) # Save the full conversation to the transcript, including tool calls. # This preserves the complete agent loop (tool_calls, tool results, # intermediate reasoning) so sessions can be resumed with full context # and transcripts are useful for debugging and training data. # # IMPORTANT: When the agent failed before producing any response # (e.g. context-overflow 400), do NOT persist the user's message. # Persisting it would make the session even larger, causing the # same failure on the next attempt — an infinite loop. (#1630) agent_failed_early = ( agent_result.get("failed") and not agent_result.get("final_response") ) if agent_failed_early: logger.info( "Skipping transcript persistence for failed request in " "session %s to prevent session growth loop.", session_entry.session_id, ) ts = datetime.now().isoformat() # If this is a fresh session (no history), write the full tool # definitions as the first entry so the transcript is self-describing # -- the same list of dicts sent as tools=[...] in the API request. if agent_failed_early: pass # Skip all transcript writes — don't grow a broken session elif not history: tool_defs = agent_result.get("tools", []) self.session_store.append_to_transcript( session_entry.session_id, { "role": "session_meta", "tools": tool_defs or [], "model": os.getenv("HERMES_MODEL", ""), "platform": source.platform.value if source.platform else "", "timestamp": ts, } ) # Find only the NEW messages from this turn (skip history we loaded). # Use the filtered history length (history_offset) that was actually # passed to the agent, not len(history) which includes session_meta # entries that were stripped before the agent saw them. if not agent_failed_early: history_len = agent_result.get("history_offset", len(history)) new_messages = agent_messages[history_len:] if len(agent_messages) > history_len else [] # If no new messages found (edge case), fall back to simple user/assistant if not new_messages: self.session_store.append_to_transcript( session_entry.session_id, {"role": "user", "content": message_text, "timestamp": ts} ) if response: self.session_store.append_to_transcript( session_entry.session_id, {"role": "assistant", "content": response, "timestamp": ts} ) else: # The agent already persisted these messages to SQLite via # _flush_messages_to_session_db(), so skip the DB write here # to prevent the duplicate-write bug (#860). We still write # to JSONL for backward compatibility and as a backup. agent_persisted = self._session_db is not None for msg in new_messages: # Skip system messages (they're rebuilt each run) if msg.get("role") == "system": continue # Add timestamp to each message for debugging entry = {**msg, "timestamp": ts} self.session_store.append_to_transcript( session_entry.session_id, entry, skip_db=agent_persisted, ) # Update session with actual prompt token count and model from the agent self.session_store.update_session( session_entry.session_key, input_tokens=agent_result.get("input_tokens", 0), output_tokens=agent_result.get("output_tokens", 0), cache_read_tokens=agent_result.get("cache_read_tokens", 0), cache_write_tokens=agent_result.get("cache_write_tokens", 0), last_prompt_tokens=agent_result.get("last_prompt_tokens", 0), model=agent_result.get("model"), estimated_cost_usd=agent_result.get("estimated_cost_usd"), cost_status=agent_result.get("cost_status"), cost_source=agent_result.get("cost_source"), provider=agent_result.get("provider"), base_url=agent_result.get("base_url"), ) # Auto voice reply: send TTS audio before the text response _already_sent = bool(agent_result.get("already_sent")) if self._should_send_voice_reply(event, response, agent_messages, already_sent=_already_sent): await self._send_voice_reply(event, response) # If streaming already delivered the response, extract and # deliver any MEDIA: files before returning None. Streaming # sends raw text chunks that include MEDIA: tags — the normal # post-processing in _process_message_background is skipped # when already_sent is True, so media files would never be # delivered without this. if agent_result.get("already_sent"): if response: _media_adapter = self.adapters.get(source.platform) if _media_adapter: await self._deliver_media_from_response( response, event, _media_adapter, ) return None return response except Exception as e: # Stop typing indicator on error too try: _err_adapter = self.adapters.get(source.platform) if _err_adapter and hasattr(_err_adapter, "stop_typing"): await _err_adapter.stop_typing(source.chat_id) except Exception: pass logger.exception("Agent error in session %s", session_key) error_type = type(e).__name__ error_detail = str(e)[:300] if str(e) else "no details available" status_hint = "" status_code = getattr(e, "status_code", None) _hist_len = len(history) if 'history' in locals() else 0 if status_code == 401: status_hint = " Check your API key or run `claude /login` to refresh OAuth credentials." elif status_code == 429: # Check if this is a plan usage limit (resets on a schedule) vs a transient rate limit _err_body = getattr(e, "response", None) _err_json = {} try: if _err_body is not None: _err_json = _err_body.json().get("error", {}) except Exception: pass if _err_json.get("type") == "usage_limit_reached": _resets_in = _err_json.get("resets_in_seconds") if _resets_in and _resets_in > 0: import math _hours = math.ceil(_resets_in / 3600) status_hint = f" Your plan's usage limit has been reached. It resets in ~{_hours}h." else: status_hint = " Your plan's usage limit has been reached. Please wait until it resets." else: status_hint = " You are being rate-limited. Please wait a moment and try again." elif status_code == 529: status_hint = " The API is temporarily overloaded. Please try again shortly." elif status_code in (400, 500): # 400 with a large session is context overflow. # 500 with a large session often means the payload is too large # for the API to process — treat it the same way. if _hist_len > 50: return ( "⚠️ Session too large for the model's context window.\n" "Use /compact to compress the conversation, or " "/reset to start fresh." ) elif status_code == 400: status_hint = " The request was rejected by the API." return ( f"Sorry, I encountered an error ({error_type}).\n" f"{error_detail}\n" f"{status_hint}" "Try again or use /reset to start a fresh session." ) finally: # Clear session env self._clear_session_env() def _format_session_info(self) -> str: """Resolve current model config and return a formatted info block. Surfaces model, provider, context length, and endpoint so gateway users can immediately see if context detection went wrong (e.g. local models falling to the 128K default). """ from agent.model_metadata import get_model_context_length, DEFAULT_FALLBACK_CONTEXT model = _resolve_gateway_model() config_context_length = None provider = None base_url = None api_key = None try: cfg_path = _hermes_home / "config.yaml" if cfg_path.exists(): import yaml as _info_yaml with open(cfg_path, encoding="utf-8") as f: data = _info_yaml.safe_load(f) or {} model_cfg = data.get("model", {}) if isinstance(model_cfg, dict): raw_ctx = model_cfg.get("context_length") if raw_ctx is not None: try: config_context_length = int(raw_ctx) except (TypeError, ValueError): pass provider = model_cfg.get("provider") or None base_url = model_cfg.get("base_url") or None except Exception: pass # Resolve runtime credentials for probing try: runtime = _resolve_runtime_agent_kwargs() provider = provider or runtime.get("provider") base_url = base_url or runtime.get("base_url") api_key = runtime.get("api_key") except Exception: pass context_length = get_model_context_length( model, base_url=base_url or "", api_key=api_key or "", config_context_length=config_context_length, provider=provider or "", ) # Format context source hint if config_context_length is not None: ctx_source = "config" elif context_length == DEFAULT_FALLBACK_CONTEXT: ctx_source = "default — set model.context_length in config to override" else: ctx_source = "detected" # Format context length for display if context_length >= 1_000_000: ctx_display = f"{context_length / 1_000_000:.1f}M" elif context_length >= 1_000: ctx_display = f"{context_length // 1_000}K" else: ctx_display = str(context_length) lines = [ f"◆ Model: `{model}`", f"◆ Provider: {provider or 'openrouter'}", f"◆ Context: {ctx_display} tokens ({ctx_source})", ] # Show endpoint for local/custom setups if base_url and ("localhost" in base_url or "127.0.0.1" in base_url or "0.0.0.0" in base_url): lines.append(f"◆ Endpoint: {base_url}") return "\n".join(lines) async def _handle_reset_command(self, event: MessageEvent) -> str: """Handle /new or /reset command.""" source = event.source # Get existing session key session_key = self._session_key_for_source(source) # Flush memories in the background (fire-and-forget) so the user # gets the "Session reset!" response immediately. try: old_entry = self.session_store._entries.get(session_key) if old_entry: _flush_task = asyncio.create_task( self._async_flush_memories(old_entry.session_id, session_key) ) self._background_tasks.add(_flush_task) _flush_task.add_done_callback(self._background_tasks.discard) except Exception as e: logger.debug("Gateway memory flush on reset failed: %s", e) self._shutdown_gateway_honcho(session_key) self._evict_cached_agent(session_key) # Reset the session new_entry = self.session_store.reset_session(session_key) # Emit session:end hook (session is ending) await self.hooks.emit("session:end", { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "session_key": session_key, }) # Emit session:reset hook await self.hooks.emit("session:reset", { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "session_key": session_key, }) # Resolve session config info to surface to the user try: session_info = self._format_session_info() except Exception: session_info = "" if new_entry: header = "✨ Session reset! Starting fresh." else: # No existing session, just create one self.session_store.get_or_create_session(source, force_new=True) header = "✨ New session started!" if session_info: return f"{header}\n\n{session_info}" return header async def _handle_status_command(self, event: MessageEvent) -> str: """Handle /status command.""" source = event.source session_entry = self.session_store.get_or_create_session(source) connected_platforms = [p.value for p in self.adapters.keys()] # Check if there's an active agent session_key = session_entry.session_key is_running = session_key in self._running_agents lines = [ "📊 **Hermes Gateway Status**", "", f"**Session ID:** `{session_entry.session_id[:12]}...`", f"**Created:** {session_entry.created_at.strftime('%Y-%m-%d %H:%M')}", f"**Last Activity:** {session_entry.updated_at.strftime('%Y-%m-%d %H:%M')}", f"**Tokens:** {session_entry.total_tokens:,}", f"**Agent Running:** {'Yes ⚡' if is_running else 'No'}", "", f"**Connected Platforms:** {', '.join(connected_platforms)}", ] return "\n".join(lines) async def _handle_stop_command(self, event: MessageEvent) -> str: """Handle /stop command - interrupt a running agent. When an agent is truly hung (blocked thread that never checks _interrupt_requested), the early intercept in _handle_message() handles /stop before this method is reached. This handler fires only through normal command dispatch (no running agent) or as a fallback. Force-clean the session lock in all cases for safety. """ source = event.source session_entry = self.session_store.get_or_create_session(source) session_key = session_entry.session_key agent = self._running_agents.get(session_key) if agent is _AGENT_PENDING_SENTINEL: # Force-clean the sentinel so the session is unlocked. if session_key in self._running_agents: del self._running_agents[session_key] logger.info("HARD STOP (pending) for session %s — sentinel cleared", session_key[:20]) return "⚡ Force-stopped. The agent was still starting — session unlocked." if agent: agent.interrupt("Stop requested") # Force-clean the session lock so a truly hung agent doesn't # keep it locked forever. if session_key in self._running_agents: del self._running_agents[session_key] return "⚡ Force-stopped. The session is unlocked — you can send a new message." else: return "No active task to stop." async def _handle_help_command(self, event: MessageEvent) -> str: """Handle /help command - list available commands.""" from hermes_cli.commands import gateway_help_lines lines = [ "📖 **Hermes Commands**\n", *gateway_help_lines(), ] try: from agent.skill_commands import get_skill_commands skill_cmds = get_skill_commands() if skill_cmds: lines.append(f"\n⚡ **Skill Commands** ({len(skill_cmds)} installed):") for cmd in sorted(skill_cmds): lines.append(f"`{cmd}` — {skill_cmds[cmd]['description']}") except Exception: pass return "\n".join(lines) async def _handle_provider_command(self, event: MessageEvent) -> str: """Handle /provider command - show available providers.""" import yaml from hermes_cli.models import ( list_available_providers, normalize_provider, _PROVIDER_LABELS, ) # Resolve current provider from config current_provider = "openrouter" config_path = _hermes_home / 'config.yaml' try: if config_path.exists(): with open(config_path, encoding="utf-8") as f: cfg = yaml.safe_load(f) or {} model_cfg = cfg.get("model", {}) if isinstance(model_cfg, dict): current_provider = model_cfg.get("provider", current_provider) except Exception: pass current_provider = normalize_provider(current_provider) if current_provider == "auto": try: from hermes_cli.auth import resolve_provider as _resolve_provider current_provider = _resolve_provider(current_provider) except Exception: current_provider = "openrouter" # Detect custom endpoint if current_provider == "openrouter" and os.getenv("OPENAI_BASE_URL", "").strip(): current_provider = "custom" current_label = _PROVIDER_LABELS.get(current_provider, current_provider) lines = [ f"🔌 **Current provider:** {current_label} (`{current_provider}`)", "", "**Available providers:**", ] providers = list_available_providers() for p in providers: marker = " ← active" if p["id"] == current_provider else "" auth = "✅" if p["authenticated"] else "❌" aliases = f" _(also: {', '.join(p['aliases'])})_" if p["aliases"] else "" lines.append(f"{auth} `{p['id']}` — {p['label']}{aliases}{marker}") lines.append("") lines.append("Switch: `/model provider:model-name`") lines.append("Setup: `hermes setup`") return "\n".join(lines) async def _handle_personality_command(self, event: MessageEvent) -> str: """Handle /personality command - list or set a personality.""" import yaml args = event.get_command_args().strip().lower() config_path = _hermes_home / 'config.yaml' try: if config_path.exists(): with open(config_path, 'r', encoding="utf-8") as f: config = yaml.safe_load(f) or {} personalities = config.get("agent", {}).get("personalities", {}) else: config = {} personalities = {} except Exception: config = {} personalities = {} if not personalities: return "No personalities configured in `~/.hermes/config.yaml`" if not args: lines = ["🎭 **Available Personalities**\n"] lines.append("• `none` — (no personality overlay)") for name, prompt in personalities.items(): if isinstance(prompt, dict): preview = prompt.get("description") or prompt.get("system_prompt", "")[:50] else: preview = prompt[:50] + "..." if len(prompt) > 50 else prompt lines.append(f"• `{name}` — {preview}") lines.append("\nUsage: `/personality `") return "\n".join(lines) def _resolve_prompt(value): if isinstance(value, dict): parts = [value.get("system_prompt", "")] if value.get("tone"): parts.append(f'Tone: {value["tone"]}') if value.get("style"): parts.append(f'Style: {value["style"]}') return "\n".join(p for p in parts if p) return str(value) if args in ("none", "default", "neutral"): try: if "agent" not in config or not isinstance(config.get("agent"), dict): config["agent"] = {} config["agent"]["system_prompt"] = "" with open(config_path, "w") as f: yaml.dump(config, f, default_flow_style=False, sort_keys=False) except Exception as e: return f"⚠️ Failed to save personality change: {e}" self._ephemeral_system_prompt = "" return "🎭 Personality cleared — using base agent behavior.\n_(takes effect on next message)_" elif args in personalities: new_prompt = _resolve_prompt(personalities[args]) # Write to config.yaml, same pattern as CLI save_config_value. try: if "agent" not in config or not isinstance(config.get("agent"), dict): config["agent"] = {} config["agent"]["system_prompt"] = new_prompt with open(config_path, 'w', encoding="utf-8") as f: yaml.dump(config, f, default_flow_style=False, sort_keys=False) except Exception as e: return f"⚠️ Failed to save personality change: {e}" # Update in-memory so it takes effect on the very next message. self._ephemeral_system_prompt = new_prompt return f"🎭 Personality set to **{args}**\n_(takes effect on next message)_" available = "`none`, " + ", ".join(f"`{n}`" for n in personalities.keys()) return f"Unknown personality: `{args}`\n\nAvailable: {available}" async def _handle_retry_command(self, event: MessageEvent) -> str: """Handle /retry command - re-send the last user message.""" source = event.source session_entry = self.session_store.get_or_create_session(source) history = self.session_store.load_transcript(session_entry.session_id) # Find the last user message last_user_msg = None last_user_idx = None for i in range(len(history) - 1, -1, -1): if history[i].get("role") == "user": last_user_msg = history[i].get("content", "") last_user_idx = i break if not last_user_msg: return "No previous message to retry." # Truncate history to before the last user message and persist truncated = history[:last_user_idx] self.session_store.rewrite_transcript(session_entry.session_id, truncated) # Reset stored token count — transcript was truncated session_entry.last_prompt_tokens = 0 # Re-send by creating a fake text event with the old message retry_event = MessageEvent( text=last_user_msg, message_type=MessageType.TEXT, source=source, raw_message=event.raw_message, ) # Let the normal message handler process it return await self._handle_message(retry_event) async def _handle_undo_command(self, event: MessageEvent) -> str: """Handle /undo command - remove the last user/assistant exchange.""" source = event.source session_entry = self.session_store.get_or_create_session(source) history = self.session_store.load_transcript(session_entry.session_id) # Find the last user message and remove everything from it onward last_user_idx = None for i in range(len(history) - 1, -1, -1): if history[i].get("role") == "user": last_user_idx = i break if last_user_idx is None: return "Nothing to undo." removed_msg = history[last_user_idx].get("content", "") removed_count = len(history) - last_user_idx self.session_store.rewrite_transcript(session_entry.session_id, history[:last_user_idx]) # Reset stored token count — transcript was truncated session_entry.last_prompt_tokens = 0 preview = removed_msg[:40] + "..." if len(removed_msg) > 40 else removed_msg return f"↩️ Undid {removed_count} message(s).\nRemoved: \"{preview}\"" async def _handle_set_home_command(self, event: MessageEvent) -> str: """Handle /sethome command -- set the current chat as the platform's home channel.""" source = event.source platform_name = source.platform.value if source.platform else "unknown" chat_id = source.chat_id chat_name = source.chat_name or chat_id env_key = f"{platform_name.upper()}_HOME_CHANNEL" # Save to config.yaml try: import yaml config_path = _hermes_home / 'config.yaml' user_config = {} if config_path.exists(): with open(config_path, encoding="utf-8") as f: user_config = yaml.safe_load(f) or {} user_config[env_key] = chat_id with open(config_path, 'w', encoding="utf-8") as f: yaml.dump(user_config, f, default_flow_style=False) # Also set in the current environment so it takes effect immediately os.environ[env_key] = str(chat_id) except Exception as e: return f"Failed to save home channel: {e}" return ( f"✅ Home channel set to **{chat_name}** (ID: {chat_id}).\n" f"Cron jobs and cross-platform messages will be delivered here." ) @staticmethod def _get_guild_id(event: MessageEvent) -> Optional[int]: """Extract Discord guild_id from the raw message object.""" raw = getattr(event, "raw_message", None) if raw is None: return None # Slash command interaction if hasattr(raw, "guild_id") and raw.guild_id: return int(raw.guild_id) # Regular message if hasattr(raw, "guild") and raw.guild: return raw.guild.id return None async def _handle_voice_command(self, event: MessageEvent) -> str: """Handle /voice [on|off|tts|channel|leave|status] command.""" args = event.get_command_args().strip().lower() chat_id = event.source.chat_id adapter = self.adapters.get(event.source.platform) if args in ("on", "enable"): self._voice_mode[chat_id] = "voice_only" self._save_voice_modes() if adapter: self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=False) return ( "Voice mode enabled.\n" "I'll reply with voice when you send voice messages.\n" "Use /voice tts to get voice replies for all messages." ) elif args in ("off", "disable"): self._voice_mode[chat_id] = "off" self._save_voice_modes() if adapter: self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=True) return "Voice mode disabled. Text-only replies." elif args == "tts": self._voice_mode[chat_id] = "all" self._save_voice_modes() if adapter: self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=False) return ( "Auto-TTS enabled.\n" "All replies will include a voice message." ) elif args in ("channel", "join"): return await self._handle_voice_channel_join(event) elif args == "leave": return await self._handle_voice_channel_leave(event) elif args == "status": mode = self._voice_mode.get(chat_id, "off") labels = { "off": "Off (text only)", "voice_only": "On (voice reply to voice messages)", "all": "TTS (voice reply to all messages)", } # Append voice channel info if connected adapter = self.adapters.get(event.source.platform) guild_id = self._get_guild_id(event) if guild_id and hasattr(adapter, "get_voice_channel_info"): info = adapter.get_voice_channel_info(guild_id) if info: lines = [ f"Voice mode: {labels.get(mode, mode)}", f"Voice channel: #{info['channel_name']}", f"Participants: {info['member_count']}", ] for m in info["members"]: status = " (speaking)" if m.get("is_speaking") else "" lines.append(f" - {m['display_name']}{status}") return "\n".join(lines) return f"Voice mode: {labels.get(mode, mode)}" else: # Toggle: off → on, on/all → off current = self._voice_mode.get(chat_id, "off") if current == "off": self._voice_mode[chat_id] = "voice_only" self._save_voice_modes() if adapter: self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=False) return "Voice mode enabled." else: self._voice_mode[chat_id] = "off" self._save_voice_modes() if adapter: self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=True) return "Voice mode disabled." async def _handle_voice_channel_join(self, event: MessageEvent) -> str: """Join the user's current Discord voice channel.""" adapter = self.adapters.get(event.source.platform) if not hasattr(adapter, "join_voice_channel"): return "Voice channels are not supported on this platform." guild_id = self._get_guild_id(event) if not guild_id: return "This command only works in a Discord server." voice_channel = await adapter.get_user_voice_channel( guild_id, event.source.user_id ) if not voice_channel: return "You need to be in a voice channel first." # Wire callbacks BEFORE join so voice input arriving immediately # after connection is not lost. if hasattr(adapter, "_voice_input_callback"): adapter._voice_input_callback = self._handle_voice_channel_input if hasattr(adapter, "_on_voice_disconnect"): adapter._on_voice_disconnect = self._handle_voice_timeout_cleanup try: success = await adapter.join_voice_channel(voice_channel) except Exception as e: logger.warning("Failed to join voice channel: %s", e) adapter._voice_input_callback = None err_lower = str(e).lower() if "pynacl" in err_lower or "nacl" in err_lower or "davey" in err_lower: return ( "Voice dependencies are missing (PyNaCl / davey). " "Install or reinstall Hermes with the messaging extra, e.g. " "`pip install hermes-agent[messaging]`." ) return f"Failed to join voice channel: {e}" if success: adapter._voice_text_channels[guild_id] = int(event.source.chat_id) self._voice_mode[event.source.chat_id] = "all" self._save_voice_modes() self._set_adapter_auto_tts_disabled(adapter, event.source.chat_id, disabled=False) return ( f"Joined voice channel **{voice_channel.name}**.\n" f"I'll speak my replies and listen to you. Use /voice leave to disconnect." ) # Join failed — clear callback adapter._voice_input_callback = None return "Failed to join voice channel. Check bot permissions (Connect + Speak)." async def _handle_voice_channel_leave(self, event: MessageEvent) -> str: """Leave the Discord voice channel.""" adapter = self.adapters.get(event.source.platform) guild_id = self._get_guild_id(event) if not guild_id or not hasattr(adapter, "leave_voice_channel"): return "Not in a voice channel." if not hasattr(adapter, "is_in_voice_channel") or not adapter.is_in_voice_channel(guild_id): return "Not in a voice channel." try: await adapter.leave_voice_channel(guild_id) except Exception as e: logger.warning("Error leaving voice channel: %s", e) # Always clean up state even if leave raised an exception self._voice_mode[event.source.chat_id] = "off" self._save_voice_modes() self._set_adapter_auto_tts_disabled(adapter, event.source.chat_id, disabled=True) if hasattr(adapter, "_voice_input_callback"): adapter._voice_input_callback = None return "Left voice channel." def _handle_voice_timeout_cleanup(self, chat_id: str) -> None: """Called by the adapter when a voice channel times out. Cleans up runner-side voice_mode state that the adapter cannot reach. """ self._voice_mode[chat_id] = "off" self._save_voice_modes() adapter = self.adapters.get(Platform.DISCORD) self._set_adapter_auto_tts_disabled(adapter, chat_id, disabled=True) async def _handle_voice_channel_input( self, guild_id: int, user_id: int, transcript: str ): """Handle transcribed voice from a user in a voice channel. Creates a synthetic MessageEvent and processes it through the adapter's full message pipeline (session, typing, agent, TTS reply). """ adapter = self.adapters.get(Platform.DISCORD) if not adapter: return text_ch_id = adapter._voice_text_channels.get(guild_id) if not text_ch_id: return # Check authorization before processing voice input source = SessionSource( platform=Platform.DISCORD, chat_id=str(text_ch_id), user_id=str(user_id), user_name=str(user_id), chat_type="channel", ) if not self._is_user_authorized(source): logger.debug("Unauthorized voice input from user %d, ignoring", user_id) return # Show transcript in text channel (after auth, with mention sanitization) try: channel = adapter._client.get_channel(text_ch_id) if channel: safe_text = transcript[:2000].replace("@everyone", "@\u200beveryone").replace("@here", "@\u200bhere") await channel.send(f"**[Voice]** <@{user_id}>: {safe_text}") except Exception: pass # Build a synthetic MessageEvent and feed through the normal pipeline # Use SimpleNamespace as raw_message so _get_guild_id() can extract # guild_id and _send_voice_reply() plays audio in the voice channel. from types import SimpleNamespace event = MessageEvent( source=source, text=transcript, message_type=MessageType.VOICE, raw_message=SimpleNamespace(guild_id=guild_id, guild=None), ) await adapter.handle_message(event) def _should_send_voice_reply( self, event: MessageEvent, response: str, agent_messages: list, already_sent: bool = False, ) -> bool: """Decide whether the runner should send a TTS voice reply. Returns False when: - voice_mode is off for this chat - response is empty or an error - agent already called text_to_speech tool (dedup) - voice input and base adapter auto-TTS already handled it (skip_double) UNLESS streaming already consumed the response (already_sent=True), in which case the base adapter won't have text for auto-TTS so the runner must handle it. """ if not response or response.startswith("Error:"): return False chat_id = event.source.chat_id voice_mode = self._voice_mode.get(chat_id, "off") is_voice_input = (event.message_type == MessageType.VOICE) should = ( (voice_mode == "all") or (voice_mode == "voice_only" and is_voice_input) ) if not should: return False # Dedup: agent already called TTS tool has_agent_tts = any( msg.get("role") == "assistant" and any( tc.get("function", {}).get("name") == "text_to_speech" for tc in (msg.get("tool_calls") or []) ) for msg in agent_messages ) if has_agent_tts: return False # Dedup: base adapter auto-TTS already handles voice input # (play_tts plays in VC when connected, so runner can skip). # When streaming already delivered the text (already_sent=True), # the base adapter will receive None and can't run auto-TTS, # so the runner must take over. if is_voice_input and not already_sent: return False return True async def _send_voice_reply(self, event: MessageEvent, text: str) -> None: """Generate TTS audio and send as a voice message before the text reply.""" import uuid as _uuid audio_path = None actual_path = None try: from tools.tts_tool import text_to_speech_tool, _strip_markdown_for_tts tts_text = _strip_markdown_for_tts(text[:4000]) if not tts_text: return # Use .mp3 extension so edge-tts conversion to opus works correctly. # The TTS tool may convert to .ogg — use file_path from result. audio_path = os.path.join( tempfile.gettempdir(), "hermes_voice", f"tts_reply_{_uuid.uuid4().hex[:12]}.mp3", ) os.makedirs(os.path.dirname(audio_path), exist_ok=True) result_json = await asyncio.to_thread( text_to_speech_tool, text=tts_text, output_path=audio_path ) result = json.loads(result_json) # Use the actual file path from result (may differ after opus conversion) actual_path = result.get("file_path", audio_path) if not result.get("success") or not os.path.isfile(actual_path): logger.warning("Auto voice reply TTS failed: %s", result.get("error")) return adapter = self.adapters.get(event.source.platform) # If connected to a voice channel, play there instead of sending a file guild_id = self._get_guild_id(event) if (guild_id and hasattr(adapter, "play_in_voice_channel") and hasattr(adapter, "is_in_voice_channel") and adapter.is_in_voice_channel(guild_id)): await adapter.play_in_voice_channel(guild_id, actual_path) elif adapter and hasattr(adapter, "send_voice"): send_kwargs: Dict[str, Any] = { "chat_id": event.source.chat_id, "audio_path": actual_path, "reply_to": event.message_id, } if event.source.thread_id: send_kwargs["metadata"] = {"thread_id": event.source.thread_id} await adapter.send_voice(**send_kwargs) except Exception as e: logger.warning("Auto voice reply failed: %s", e, exc_info=True) finally: for p in {audio_path, actual_path} - {None}: try: os.unlink(p) except OSError: pass async def _deliver_media_from_response( self, response: str, event: MessageEvent, adapter, ) -> None: """Extract MEDIA: tags and local file paths from a response and deliver them. Called after streaming has already sent the text to the user, so the text itself is already delivered — this only handles file attachments that the normal _process_message_background path would have caught. """ from pathlib import Path try: media_files, _ = adapter.extract_media(response) _, cleaned = adapter.extract_images(response) local_files, _ = adapter.extract_local_files(cleaned) _thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None _AUDIO_EXTS = {'.ogg', '.opus', '.mp3', '.wav', '.m4a'} _VIDEO_EXTS = {'.mp4', '.mov', '.avi', '.mkv', '.webm', '.3gp'} _IMAGE_EXTS = {'.jpg', '.jpeg', '.png', '.webp', '.gif'} for media_path, is_voice in media_files: try: ext = Path(media_path).suffix.lower() if ext in _AUDIO_EXTS: await adapter.send_voice( chat_id=event.source.chat_id, audio_path=media_path, metadata=_thread_meta, ) elif ext in _VIDEO_EXTS: await adapter.send_video( chat_id=event.source.chat_id, video_path=media_path, metadata=_thread_meta, ) elif ext in _IMAGE_EXTS: await adapter.send_image_file( chat_id=event.source.chat_id, image_path=media_path, metadata=_thread_meta, ) else: await adapter.send_document( chat_id=event.source.chat_id, file_path=media_path, metadata=_thread_meta, ) except Exception as e: logger.warning("[%s] Post-stream media delivery failed: %s", adapter.name, e) for file_path in local_files: try: ext = Path(file_path).suffix.lower() if ext in _IMAGE_EXTS: await adapter.send_image_file( chat_id=event.source.chat_id, image_path=file_path, metadata=_thread_meta, ) else: await adapter.send_document( chat_id=event.source.chat_id, file_path=file_path, metadata=_thread_meta, ) except Exception as e: logger.warning("[%s] Post-stream file delivery failed: %s", adapter.name, e) except Exception as e: logger.warning("Post-stream media extraction failed: %s", e) async def _handle_rollback_command(self, event: MessageEvent) -> str: """Handle /rollback command — list or restore filesystem checkpoints.""" from tools.checkpoint_manager import CheckpointManager, format_checkpoint_list # Read checkpoint config from config.yaml cp_cfg = {} try: import yaml as _y _cfg_path = _hermes_home / "config.yaml" if _cfg_path.exists(): with open(_cfg_path, encoding="utf-8") as _f: _data = _y.safe_load(_f) or {} cp_cfg = _data.get("checkpoints", {}) if isinstance(cp_cfg, bool): cp_cfg = {"enabled": cp_cfg} except Exception: pass if not cp_cfg.get("enabled", False): return ( "Checkpoints are not enabled.\n" "Enable in config.yaml:\n```\ncheckpoints:\n enabled: true\n```" ) mgr = CheckpointManager( enabled=True, max_snapshots=cp_cfg.get("max_snapshots", 50), ) cwd = os.getenv("MESSAGING_CWD", str(Path.home())) arg = event.get_command_args().strip() if not arg: checkpoints = mgr.list_checkpoints(cwd) return format_checkpoint_list(checkpoints, cwd) # Restore by number or hash checkpoints = mgr.list_checkpoints(cwd) if not checkpoints: return f"No checkpoints found for {cwd}" target_hash = None try: idx = int(arg) - 1 if 0 <= idx < len(checkpoints): target_hash = checkpoints[idx]["hash"] else: return f"Invalid checkpoint number. Use 1-{len(checkpoints)}." except ValueError: target_hash = arg result = mgr.restore(cwd, target_hash) if result["success"]: return ( f"✅ Restored to checkpoint {result['restored_to']}: {result['reason']}\n" f"A pre-rollback snapshot was saved automatically." ) return f"❌ {result['error']}" async def _handle_background_command(self, event: MessageEvent) -> str: """Handle /background — run a prompt in a separate background session. Spawns a new AIAgent in a background thread with its own session. When it completes, sends the result back to the same chat without modifying the active session's conversation history. """ prompt = event.get_command_args().strip() if not prompt: return ( "Usage: /background \n" "Example: /background Summarize the top HN stories today\n\n" "Runs the prompt in a separate session. " "You can keep chatting — the result will appear here when done." ) source = event.source task_id = f"bg_{datetime.now().strftime('%H%M%S')}_{os.urandom(3).hex()}" # Fire-and-forget the background task _task = asyncio.create_task( self._run_background_task(prompt, source, task_id) ) self._background_tasks.add(_task) _task.add_done_callback(self._background_tasks.discard) preview = prompt[:60] + ("..." if len(prompt) > 60 else "") return f'🔄 Background task started: "{preview}"\nTask ID: {task_id}\nYou can keep chatting — results will appear when done.' async def _run_background_task( self, prompt: str, source: "SessionSource", task_id: str ) -> None: """Execute a background agent task and deliver the result to the chat.""" from run_agent import AIAgent adapter = self.adapters.get(source.platform) if not adapter: logger.warning("No adapter for platform %s in background task %s", source.platform, task_id) return _thread_metadata = {"thread_id": source.thread_id} if source.thread_id else None try: runtime_kwargs = _resolve_runtime_agent_kwargs() if not runtime_kwargs.get("api_key"): await adapter.send( source.chat_id, f"❌ Background task {task_id} failed: no provider credentials configured.", metadata=_thread_metadata, ) return user_config = _load_gateway_config() model = _resolve_gateway_model(user_config) platform_key = _platform_config_key(source.platform) from hermes_cli.tools_config import _get_platform_tools enabled_toolsets = sorted(_get_platform_tools(user_config, platform_key)) pr = self._provider_routing max_iterations = int(os.getenv("HERMES_MAX_ITERATIONS", "90")) reasoning_config = self._load_reasoning_config() self._reasoning_config = reasoning_config turn_route = self._resolve_turn_agent_config(prompt, model, runtime_kwargs) def run_sync(): agent = AIAgent( model=turn_route["model"], **turn_route["runtime"], max_iterations=max_iterations, quiet_mode=True, verbose_logging=False, enabled_toolsets=enabled_toolsets, reasoning_config=reasoning_config, providers_allowed=pr.get("only"), providers_ignored=pr.get("ignore"), providers_order=pr.get("order"), provider_sort=pr.get("sort"), provider_require_parameters=pr.get("require_parameters", False), provider_data_collection=pr.get("data_collection"), session_id=task_id, platform=platform_key, session_db=self._session_db, fallback_model=self._fallback_model, ) return agent.run_conversation( user_message=prompt, task_id=task_id, ) loop = asyncio.get_event_loop() result = await loop.run_in_executor(None, run_sync) response = result.get("final_response", "") if result else "" if not response and result and result.get("error"): response = f"Error: {result['error']}" # Extract media files from the response if response: media_files, response = adapter.extract_media(response) images, text_content = adapter.extract_images(response) preview = prompt[:60] + ("..." if len(prompt) > 60 else "") header = f'✅ Background task complete\nPrompt: "{preview}"\n\n' if text_content: await adapter.send( chat_id=source.chat_id, content=header + text_content, metadata=_thread_metadata, ) elif not images and not media_files: await adapter.send( chat_id=source.chat_id, content=header + "(No response generated)", metadata=_thread_metadata, ) # Send extracted images for image_url, alt_text in (images or []): try: await adapter.send_image( chat_id=source.chat_id, image_url=image_url, caption=alt_text, ) except Exception: pass # Send media files for media_path in (media_files or []): try: await adapter.send_file( chat_id=source.chat_id, file_path=media_path, ) except Exception: pass else: preview = prompt[:60] + ("..." if len(prompt) > 60 else "") await adapter.send( chat_id=source.chat_id, content=f'✅ Background task complete\nPrompt: "{preview}"\n\n(No response generated)', metadata=_thread_metadata, ) except Exception as e: logger.exception("Background task %s failed", task_id) try: await adapter.send( chat_id=source.chat_id, content=f"❌ Background task {task_id} failed: {e}", metadata=_thread_metadata, ) except Exception: pass async def _handle_reasoning_command(self, event: MessageEvent) -> str: """Handle /reasoning command — manage reasoning effort and display toggle. Usage: /reasoning Show current effort level and display state /reasoning Set reasoning effort (none, low, medium, high, xhigh) /reasoning show|on Show model reasoning in responses /reasoning hide|off Hide model reasoning from responses """ import yaml args = event.get_command_args().strip().lower() config_path = _hermes_home / "config.yaml" self._reasoning_config = self._load_reasoning_config() self._show_reasoning = self._load_show_reasoning() def _save_config_key(key_path: str, value): """Save a dot-separated key to config.yaml.""" try: user_config = {} if config_path.exists(): with open(config_path, encoding="utf-8") as f: user_config = yaml.safe_load(f) or {} keys = key_path.split(".") current = user_config for k in keys[:-1]: if k not in current or not isinstance(current[k], dict): current[k] = {} current = current[k] current[keys[-1]] = value with open(config_path, "w", encoding="utf-8") as f: yaml.dump(user_config, f, default_flow_style=False, sort_keys=False) return True except Exception as e: logger.error("Failed to save config key %s: %s", key_path, e) return False if not args: # Show current state rc = self._reasoning_config if rc is None: level = "medium (default)" elif rc.get("enabled") is False: level = "none (disabled)" else: level = rc.get("effort", "medium") display_state = "on ✓" if self._show_reasoning else "off" return ( "🧠 **Reasoning Settings**\n\n" f"**Effort:** `{level}`\n" f"**Display:** {display_state}\n\n" "_Usage:_ `/reasoning `" ) # Display toggle if args in ("show", "on"): self._show_reasoning = True _save_config_key("display.show_reasoning", True) return "🧠 ✓ Reasoning display: **ON**\nModel thinking will be shown before each response." if args in ("hide", "off"): self._show_reasoning = False _save_config_key("display.show_reasoning", False) return "🧠 ✓ Reasoning display: **OFF**" # Effort level change effort = args.strip() if effort == "none": parsed = {"enabled": False} elif effort in ("xhigh", "high", "medium", "low", "minimal"): parsed = {"enabled": True, "effort": effort} else: return ( f"⚠️ Unknown argument: `{effort}`\n\n" "**Valid levels:** none, low, minimal, medium, high, xhigh\n" "**Display:** show, hide" ) self._reasoning_config = parsed if _save_config_key("agent.reasoning_effort", effort): return f"🧠 ✓ Reasoning effort set to `{effort}` (saved to config)\n_(takes effect on next message)_" else: return f"🧠 ✓ Reasoning effort set to `{effort}` (this session only)" async def _handle_verbose_command(self, event: MessageEvent) -> str: """Handle /verbose command — cycle tool progress display mode. Gated by ``display.tool_progress_command`` in config.yaml (default off). When enabled, cycles the tool progress mode through off → new → all → verbose → off, same as the CLI. """ import yaml config_path = _hermes_home / "config.yaml" # --- check config gate ------------------------------------------------ try: user_config = {} if config_path.exists(): with open(config_path, encoding="utf-8") as f: user_config = yaml.safe_load(f) or {} gate_enabled = user_config.get("display", {}).get("tool_progress_command", False) except Exception: gate_enabled = False if not gate_enabled: return ( "The `/verbose` command is not enabled for messaging platforms.\n\n" "Enable it in `config.yaml`:\n```yaml\n" "display:\n tool_progress_command: true\n```" ) # --- cycle mode ------------------------------------------------------- cycle = ["off", "new", "all", "verbose"] descriptions = { "off": "⚙️ Tool progress: **OFF** — no tool activity shown.", "new": "⚙️ Tool progress: **NEW** — shown when tool changes.", "all": "⚙️ Tool progress: **ALL** — every tool call shown.", "verbose": "⚙️ Tool progress: **VERBOSE** — full args and results.", } raw_progress = user_config.get("display", {}).get("tool_progress", "all") # YAML 1.1 parses bare "off" as boolean False — normalise back if raw_progress is False: current = "off" elif raw_progress is True: current = "all" else: current = str(raw_progress).lower() if current not in cycle: current = "all" idx = (cycle.index(current) + 1) % len(cycle) new_mode = cycle[idx] # Save to config.yaml try: if "display" not in user_config or not isinstance(user_config.get("display"), dict): user_config["display"] = {} user_config["display"]["tool_progress"] = new_mode with open(config_path, "w", encoding="utf-8") as f: yaml.dump(user_config, f, default_flow_style=False, sort_keys=False) return f"{descriptions[new_mode]}\n_(saved to config — takes effect on next message)_" except Exception as e: logger.warning("Failed to save tool_progress mode: %s", e) return f"{descriptions[new_mode]}\n_(could not save to config: {e})_" async def _handle_compress_command(self, event: MessageEvent) -> str: """Handle /compress command -- manually compress conversation context.""" source = event.source session_entry = self.session_store.get_or_create_session(source) history = self.session_store.load_transcript(session_entry.session_id) if not history or len(history) < 4: return "Not enough conversation to compress (need at least 4 messages)." try: from run_agent import AIAgent from agent.model_metadata import estimate_messages_tokens_rough runtime_kwargs = _resolve_runtime_agent_kwargs() if not runtime_kwargs.get("api_key"): return "No provider configured -- cannot compress." # Resolve model from config (same reason as memory flush above). model = _resolve_gateway_model() msgs = [ {"role": m.get("role"), "content": m.get("content")} for m in history if m.get("role") in ("user", "assistant") and m.get("content") ] original_count = len(msgs) approx_tokens = estimate_messages_tokens_rough(msgs) tmp_agent = AIAgent( **runtime_kwargs, model=model, max_iterations=4, quiet_mode=True, enabled_toolsets=["memory"], session_id=session_entry.session_id, ) tmp_agent._print_fn = lambda *a, **kw: None loop = asyncio.get_event_loop() compressed, _ = await loop.run_in_executor( None, lambda: tmp_agent._compress_context(msgs, "", approx_tokens=approx_tokens) ) # _compress_context already calls end_session() on the old session # (preserving its full transcript in SQLite) and creates a new # session_id for the continuation. Write the compressed messages # into the NEW session so the original history stays searchable. new_session_id = tmp_agent.session_id if new_session_id != session_entry.session_id: session_entry.session_id = new_session_id self.session_store._save() self.session_store.rewrite_transcript(new_session_id, compressed) # Reset stored token count — transcript changed, old value is stale self.session_store.update_session( session_entry.session_key, last_prompt_tokens=0 ) new_count = len(compressed) new_tokens = estimate_messages_tokens_rough(compressed) return ( f"🗜️ Compressed: {original_count} → {new_count} messages\n" f"~{approx_tokens:,} → ~{new_tokens:,} tokens" ) except Exception as e: logger.warning("Manual compress failed: %s", e) return f"Compression failed: {e}" async def _handle_title_command(self, event: MessageEvent) -> str: """Handle /title command — set or show the current session's title.""" source = event.source session_entry = self.session_store.get_or_create_session(source) session_id = session_entry.session_id if not self._session_db: return "Session database not available." # Ensure session exists in SQLite DB (it may only exist in session_store # if this is the first command in a new session) existing_title = self._session_db.get_session_title(session_id) if existing_title is None: # Session doesn't exist in DB yet — create it try: self._session_db.create_session( session_id=session_id, source=source.platform.value if source.platform else "unknown", user_id=source.user_id, ) except Exception: pass # Session might already exist, ignore errors title_arg = event.get_command_args().strip() if title_arg: # Sanitize the title before setting try: sanitized = self._session_db.sanitize_title(title_arg) except ValueError as e: return f"⚠️ {e}" if not sanitized: return "⚠️ Title is empty after cleanup. Please use printable characters." # Set the title try: if self._session_db.set_session_title(session_id, sanitized): return f"✏️ Session title set: **{sanitized}**" else: return "Session not found in database." except ValueError as e: return f"⚠️ {e}" else: # Show the current title and session ID title = self._session_db.get_session_title(session_id) if title: return f"📌 Session: `{session_id}`\nTitle: **{title}**" else: return f"📌 Session: `{session_id}`\nNo title set. Usage: `/title My Session Name`" async def _handle_resume_command(self, event: MessageEvent) -> str: """Handle /resume command — switch to a previously-named session.""" if not self._session_db: return "Session database not available." source = event.source session_key = self._session_key_for_source(source) name = event.get_command_args().strip() if not name: # List recent titled sessions for this user/platform try: user_source = source.platform.value if source.platform else None sessions = self._session_db.list_sessions_rich( source=user_source, limit=10 ) titled = [s for s in sessions if s.get("title")] if not titled: return ( "No named sessions found.\n" "Use `/title My Session` to name your current session, " "then `/resume My Session` to return to it later." ) lines = ["📋 **Named Sessions**\n"] for s in titled[:10]: title = s["title"] preview = s.get("preview", "")[:40] preview_part = f" — _{preview}_" if preview else "" lines.append(f"• **{title}**{preview_part}") lines.append("\nUsage: `/resume `") return "\n".join(lines) except Exception as e: logger.debug("Failed to list titled sessions: %s", e) return f"Could not list sessions: {e}" # Resolve the name to a session ID target_id = self._session_db.resolve_session_by_title(name) if not target_id: return ( f"No session found matching '**{name}**'.\n" "Use `/resume` with no arguments to see available sessions." ) # Check if already on that session current_entry = self.session_store.get_or_create_session(source) if current_entry.session_id == target_id: return f"📌 Already on session **{name}**." # Flush memories for current session before switching try: _flush_task = asyncio.create_task( self._async_flush_memories(current_entry.session_id, session_key) ) self._background_tasks.add(_flush_task) _flush_task.add_done_callback(self._background_tasks.discard) except Exception as e: logger.debug("Memory flush on resume failed: %s", e) self._shutdown_gateway_honcho(session_key) # Clear any running agent for this session key if session_key in self._running_agents: del self._running_agents[session_key] # Switch the session entry to point at the old session new_entry = self.session_store.switch_session(session_key, target_id) if not new_entry: return "Failed to switch session." # Get the title for confirmation title = self._session_db.get_session_title(target_id) or name # Count messages for context history = self.session_store.load_transcript(target_id) msg_count = len([m for m in history if m.get("role") == "user"]) if history else 0 msg_part = f" ({msg_count} message{'s' if msg_count != 1 else ''})" if msg_count else "" return f"↻ Resumed session **{title}**{msg_part}. Conversation restored." async def _handle_usage_command(self, event: MessageEvent) -> str: """Handle /usage command -- show token usage for the session's last agent run.""" source = event.source session_key = self._session_key_for_source(source) agent = self._running_agents.get(session_key) if agent and hasattr(agent, "session_total_tokens") and agent.session_api_calls > 0: lines = [ "📊 **Session Token Usage**", f"Prompt (input): {agent.session_prompt_tokens:,}", f"Completion (output): {agent.session_completion_tokens:,}", f"Total: {agent.session_total_tokens:,}", f"API calls: {agent.session_api_calls}", ] ctx = agent.context_compressor if ctx.last_prompt_tokens: pct = min(100, ctx.last_prompt_tokens / ctx.context_length * 100) if ctx.context_length else 0 lines.append(f"Context: {ctx.last_prompt_tokens:,} / {ctx.context_length:,} ({pct:.0f}%)") if ctx.compression_count: lines.append(f"Compressions: {ctx.compression_count}") return "\n".join(lines) # No running agent -- check session history for a rough count session_entry = self.session_store.get_or_create_session(source) history = self.session_store.load_transcript(session_entry.session_id) if history: from agent.model_metadata import estimate_messages_tokens_rough msgs = [m for m in history if m.get("role") in ("user", "assistant") and m.get("content")] approx = estimate_messages_tokens_rough(msgs) return ( f"📊 **Session Info**\n" f"Messages: {len(msgs)}\n" f"Estimated context: ~{approx:,} tokens\n" f"_(Detailed usage available during active conversations)_" ) return "No usage data available for this session." async def _handle_insights_command(self, event: MessageEvent) -> str: """Handle /insights command -- show usage insights and analytics.""" import asyncio as _asyncio args = event.get_command_args().strip() days = 30 source = None # Parse simple args: /insights 7 or /insights --days 7 if args: parts = args.split() i = 0 while i < len(parts): if parts[i] == "--days" and i + 1 < len(parts): try: days = int(parts[i + 1]) except ValueError: return f"Invalid --days value: {parts[i + 1]}" i += 2 elif parts[i] == "--source" and i + 1 < len(parts): source = parts[i + 1] i += 2 elif parts[i].isdigit(): days = int(parts[i]) i += 1 else: i += 1 try: from hermes_state import SessionDB from agent.insights import InsightsEngine loop = _asyncio.get_event_loop() def _run_insights(): db = SessionDB() engine = InsightsEngine(db) report = engine.generate(days=days, source=source) result = engine.format_gateway(report) db.close() return result return await loop.run_in_executor(None, _run_insights) except Exception as e: logger.error("Insights command error: %s", e, exc_info=True) return f"Error generating insights: {e}" async def _handle_reload_mcp_command(self, event: MessageEvent) -> str: """Handle /reload-mcp command -- disconnect and reconnect all MCP servers.""" loop = asyncio.get_event_loop() try: from tools.mcp_tool import shutdown_mcp_servers, discover_mcp_tools, _load_mcp_config, _servers, _lock # Capture old server names before shutdown with _lock: old_servers = set(_servers.keys()) # Read new config before shutting down, so we know what will be added/removed new_config = _load_mcp_config() new_server_names = set(new_config.keys()) # Shutdown existing connections await loop.run_in_executor(None, shutdown_mcp_servers) # Reconnect by discovering tools (reads config.yaml fresh) new_tools = await loop.run_in_executor(None, discover_mcp_tools) # Compute what changed with _lock: connected_servers = set(_servers.keys()) added = connected_servers - old_servers removed = old_servers - connected_servers reconnected = connected_servers & old_servers lines = ["🔄 **MCP Servers Reloaded**\n"] if reconnected: lines.append(f"♻️ Reconnected: {', '.join(sorted(reconnected))}") if added: lines.append(f"➕ Added: {', '.join(sorted(added))}") if removed: lines.append(f"➖ Removed: {', '.join(sorted(removed))}") if not connected_servers: lines.append("No MCP servers connected.") else: lines.append(f"\n🔧 {len(new_tools)} tool(s) available from {len(connected_servers)} server(s)") # Inject a message at the END of the session history so the # model knows tools changed on its next turn. Appended after # all existing messages to preserve prompt-cache for the prefix. change_parts = [] if added: change_parts.append(f"Added servers: {', '.join(sorted(added))}") if removed: change_parts.append(f"Removed servers: {', '.join(sorted(removed))}") if reconnected: change_parts.append(f"Reconnected servers: {', '.join(sorted(reconnected))}") tool_summary = f"{len(new_tools)} MCP tool(s) now available" if new_tools else "No MCP tools available" change_detail = ". ".join(change_parts) + ". " if change_parts else "" reload_msg = { "role": "user", "content": f"[SYSTEM: MCP servers have been reloaded. {change_detail}{tool_summary}. The tool list for this conversation has been updated accordingly.]", } try: session_entry = self.session_store.get_or_create_session(event.source) self.session_store.append_to_transcript( session_entry.session_id, reload_msg ) except Exception: pass # Best-effort; don't fail the reload over a transcript write return "\n".join(lines) except Exception as e: logger.warning("MCP reload failed: %s", e) return f"❌ MCP reload failed: {e}" # ------------------------------------------------------------------ # /approve & /deny — explicit dangerous-command approval # ------------------------------------------------------------------ _APPROVAL_TIMEOUT_SECONDS = 300 # 5 minutes async def _handle_approve_command(self, event: MessageEvent) -> str: """Handle /approve command — execute a pending dangerous command. Usage: /approve — approve and execute the pending command /approve session — approve and remember for this session /approve always — approve this pattern permanently """ source = event.source session_key = self._session_key_for_source(source) if session_key not in self._pending_approvals: return "No pending command to approve." import time as _time approval = self._pending_approvals[session_key] # Check for timeout ts = approval.get("timestamp", 0) if _time.time() - ts > self._APPROVAL_TIMEOUT_SECONDS: self._pending_approvals.pop(session_key, None) return "⚠️ Approval expired (timed out after 5 minutes). Ask the agent to try again." self._pending_approvals.pop(session_key) cmd = approval["command"] pattern_keys = approval.get("pattern_keys", []) if not pattern_keys: pk = approval.get("pattern_key", "") pattern_keys = [pk] if pk else [] # Determine approval scope from args args = event.get_command_args().strip().lower() from tools.approval import approve_session, approve_permanent if args in ("always", "permanent", "permanently"): for pk in pattern_keys: approve_permanent(pk) scope_msg = " (pattern approved permanently)" elif args in ("session", "ses"): for pk in pattern_keys: approve_session(session_key, pk) scope_msg = " (pattern approved for this session)" else: # One-time approval — just approve for session so the immediate # replay works, but don't advertise it as session-wide for pk in pattern_keys: approve_session(session_key, pk) scope_msg = "" logger.info("User approved dangerous command via /approve: %s...%s", cmd[:60], scope_msg) from tools.terminal_tool import terminal_tool result = terminal_tool(command=cmd, force=True) return f"✅ Command approved and executed{scope_msg}.\n\n```\n{result[:3500]}\n```" async def _handle_deny_command(self, event: MessageEvent) -> str: """Handle /deny command — reject a pending dangerous command.""" source = event.source session_key = self._session_key_for_source(source) if session_key not in self._pending_approvals: return "No pending command to deny." self._pending_approvals.pop(session_key) logger.info("User denied dangerous command via /deny") return "❌ Command denied." async def _handle_update_command(self, event: MessageEvent) -> str: """Handle /update command — update Hermes Agent to the latest version. Spawns ``hermes update`` in a separate systemd scope so it survives the gateway restart that ``hermes update`` may trigger at the end. Marker files are written so either the current gateway process or the next one can notify the user when the update finishes. """ import json import shutil import subprocess from datetime import datetime project_root = Path(__file__).parent.parent.resolve() git_dir = project_root / '.git' if not git_dir.exists(): return "✗ Not a git repository — cannot update." hermes_cmd = _resolve_hermes_bin() if not hermes_cmd: return ( "✗ Could not locate the `hermes` command. " "Hermes is running, but the update command could not find the " "executable on PATH or via the current Python interpreter. " "Try running `hermes update` manually in your terminal." ) pending_path = _hermes_home / ".update_pending.json" output_path = _hermes_home / ".update_output.txt" exit_code_path = _hermes_home / ".update_exit_code" pending = { "platform": event.source.platform.value, "chat_id": event.source.chat_id, "user_id": event.source.user_id, "timestamp": datetime.now().isoformat(), } pending_path.write_text(json.dumps(pending)) exit_code_path.unlink(missing_ok=True) # Spawn `hermes update` in a separate cgroup so it survives gateway # restart. systemd-run --user --scope creates a transient scope unit. hermes_cmd_str = " ".join(shlex.quote(part) for part in hermes_cmd) update_cmd = ( f"{hermes_cmd_str} update > {shlex.quote(str(output_path))} 2>&1; " f"status=$?; printf '%s' \"$status\" > {shlex.quote(str(exit_code_path))}" ) try: systemd_run = shutil.which("systemd-run") if systemd_run: subprocess.Popen( [systemd_run, "--user", "--scope", "--unit=hermes-update", "--", "bash", "-c", update_cmd], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, start_new_session=True, ) else: # Fallback: best-effort detach with start_new_session subprocess.Popen( ["bash", "-c", f"nohup {update_cmd} &"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, start_new_session=True, ) except Exception as e: pending_path.unlink(missing_ok=True) exit_code_path.unlink(missing_ok=True) return f"✗ Failed to start update: {e}" self._schedule_update_notification_watch() return "⚕ Starting Hermes update… I'll notify you when it's done." def _schedule_update_notification_watch(self) -> None: """Ensure a background task is watching for update completion.""" existing_task = getattr(self, "_update_notification_task", None) if existing_task and not existing_task.done(): return try: self._update_notification_task = asyncio.create_task( self._watch_for_update_completion() ) except RuntimeError: logger.debug("Skipping update notification watcher: no running event loop") async def _watch_for_update_completion( self, poll_interval: float = 2.0, timeout: float = 1800.0, ) -> None: """Wait for ``hermes update`` to finish, then send its notification.""" pending_path = _hermes_home / ".update_pending.json" claimed_path = _hermes_home / ".update_pending.claimed.json" exit_code_path = _hermes_home / ".update_exit_code" loop = asyncio.get_running_loop() deadline = loop.time() + timeout while (pending_path.exists() or claimed_path.exists()) and loop.time() < deadline: if exit_code_path.exists(): await self._send_update_notification() return await asyncio.sleep(poll_interval) if (pending_path.exists() or claimed_path.exists()) and not exit_code_path.exists(): logger.warning("Update watcher timed out waiting for completion marker") exit_code_path.write_text("124") await self._send_update_notification() async def _send_update_notification(self) -> bool: """If an update finished, notify the user. Returns False when the update is still running so a caller can retry later. Returns True after a definitive send/skip decision. """ import json import re as _re pending_path = _hermes_home / ".update_pending.json" claimed_path = _hermes_home / ".update_pending.claimed.json" output_path = _hermes_home / ".update_output.txt" exit_code_path = _hermes_home / ".update_exit_code" if not pending_path.exists() and not claimed_path.exists(): return False cleanup = True active_pending_path = claimed_path try: if pending_path.exists(): try: pending_path.replace(claimed_path) except FileNotFoundError: if not claimed_path.exists(): return True elif not claimed_path.exists(): return True pending = json.loads(claimed_path.read_text()) platform_str = pending.get("platform") chat_id = pending.get("chat_id") if not exit_code_path.exists(): logger.info("Update notification deferred: update still running") cleanup = False active_pending_path = pending_path claimed_path.replace(pending_path) return False exit_code_raw = exit_code_path.read_text().strip() or "1" exit_code = int(exit_code_raw) # Read the captured update output output = "" if output_path.exists(): output = output_path.read_text() # Resolve adapter platform = Platform(platform_str) adapter = self.adapters.get(platform) if adapter and chat_id: # Strip ANSI escape codes for clean display output = _re.sub(r'\x1b\[[0-9;]*m', '', output).strip() if output: if len(output) > 3500: output = "…" + output[-3500:] if exit_code == 0: msg = f"✅ Hermes update finished.\n\n```\n{output}\n```" else: msg = f"❌ Hermes update failed.\n\n```\n{output}\n```" else: if exit_code == 0: msg = "✅ Hermes update finished successfully." else: msg = "❌ Hermes update failed. Check the gateway logs or run `hermes update` manually for details." await adapter.send(chat_id, msg) logger.info( "Sent post-update notification to %s:%s (exit=%s)", platform_str, chat_id, exit_code, ) except Exception as e: logger.warning("Post-update notification failed: %s", e) finally: if cleanup: active_pending_path.unlink(missing_ok=True) claimed_path.unlink(missing_ok=True) output_path.unlink(missing_ok=True) exit_code_path.unlink(missing_ok=True) return True def _set_session_env(self, context: SessionContext) -> None: """Set environment variables for the current session.""" os.environ["HERMES_SESSION_PLATFORM"] = context.source.platform.value os.environ["HERMES_SESSION_CHAT_ID"] = context.source.chat_id if context.source.chat_name: os.environ["HERMES_SESSION_CHAT_NAME"] = context.source.chat_name if context.source.thread_id: os.environ["HERMES_SESSION_THREAD_ID"] = str(context.source.thread_id) def _clear_session_env(self) -> None: """Clear session environment variables.""" for var in ["HERMES_SESSION_PLATFORM", "HERMES_SESSION_CHAT_ID", "HERMES_SESSION_CHAT_NAME", "HERMES_SESSION_THREAD_ID"]: if var in os.environ: del os.environ[var] async def _enrich_message_with_vision( self, user_text: str, image_paths: List[str], ) -> str: """ Auto-analyze user-attached images with the vision tool and prepend the descriptions to the message text. Each image is analyzed with a general-purpose prompt. The resulting description *and* the local cache path are injected so the model can: 1. Immediately understand what the user sent (no extra tool call). 2. Re-examine the image with vision_analyze if it needs more detail. Args: user_text: The user's original caption / message text. image_paths: List of local file paths to cached images. Returns: The enriched message string with vision descriptions prepended. """ from tools.vision_tools import vision_analyze_tool import json as _json analysis_prompt = ( "Describe everything visible in this image in thorough detail. " "Include any text, code, data, objects, people, layout, colors, " "and any other notable visual information." ) enriched_parts = [] for path in image_paths: try: logger.debug("Auto-analyzing user image: %s", path) result_json = await vision_analyze_tool( image_url=path, user_prompt=analysis_prompt, ) result = _json.loads(result_json) if result.get("success"): description = result.get("analysis", "") enriched_parts.append( f"[The user sent an image~ Here's what I can see:\n{description}]\n" f"[If you need a closer look, use vision_analyze with " f"image_url: {path} ~]" ) else: enriched_parts.append( "[The user sent an image but I couldn't quite see it " "this time (>_<) You can try looking at it yourself " f"with vision_analyze using image_url: {path}]" ) except Exception as e: logger.error("Vision auto-analysis error: %s", e) enriched_parts.append( f"[The user sent an image but something went wrong when I " f"tried to look at it~ You can try examining it yourself " f"with vision_analyze using image_url: {path}]" ) # Combine: vision descriptions first, then the user's original text if enriched_parts: prefix = "\n\n".join(enriched_parts) if user_text: return f"{prefix}\n\n{user_text}" return prefix return user_text async def _enrich_message_with_transcription( self, user_text: str, audio_paths: List[str], ) -> str: """ Auto-transcribe user voice/audio messages using the configured STT provider and prepend the transcript to the message text. Args: user_text: The user's original caption / message text. audio_paths: List of local file paths to cached audio files. Returns: The enriched message string with transcriptions prepended. """ if not getattr(self.config, "stt_enabled", True): disabled_note = "[The user sent voice message(s), but transcription is disabled in config." if self._has_setup_skill(): disabled_note += ( " You have a skill called hermes-agent-setup that can help " "users configure Hermes features including voice, tools, and more." ) disabled_note += "]" if user_text: return f"{disabled_note}\n\n{user_text}" return disabled_note from tools.transcription_tools import transcribe_audio, get_stt_model_from_config import asyncio stt_model = get_stt_model_from_config() enriched_parts = [] for path in audio_paths: try: logger.debug("Transcribing user voice: %s", path) result = await asyncio.to_thread(transcribe_audio, path, model=stt_model) if result["success"]: transcript = result["transcript"] enriched_parts.append( f'[The user sent a voice message~ ' f'Here\'s what they said: "{transcript}"]' ) else: error = result.get("error", "unknown error") if ( "No STT provider" in error or error.startswith("Neither VOICE_TOOLS_OPENAI_KEY nor OPENAI_API_KEY is set") ): _no_stt_note = ( "[The user sent a voice message but I can't listen " "to it right now — no STT provider is configured. " "A direct message has already been sent to the user " "with setup instructions." ) if self._has_setup_skill(): _no_stt_note += ( " You have a skill called hermes-agent-setup " "that can help users configure Hermes features " "including voice, tools, and more." ) _no_stt_note += "]" enriched_parts.append(_no_stt_note) else: enriched_parts.append( "[The user sent a voice message but I had trouble " f"transcribing it~ ({error})]" ) except Exception as e: logger.error("Transcription error: %s", e) enriched_parts.append( "[The user sent a voice message but something went wrong " "when I tried to listen to it~ Let them know!]" ) if enriched_parts: prefix = "\n\n".join(enriched_parts) if user_text: return f"{prefix}\n\n{user_text}" return prefix return user_text async def _run_process_watcher(self, watcher: dict) -> None: """ Periodically check a background process and push updates to the user. Runs as an asyncio task. Stays silent when nothing changed. Auto-removes when the process exits or is killed. Notification mode (from ``display.background_process_notifications``): - ``all`` — running-output updates + final message - ``result`` — final completion message only - ``error`` — final message only when exit code != 0 - ``off`` — no messages at all """ from tools.process_registry import process_registry session_id = watcher["session_id"] interval = watcher["check_interval"] session_key = watcher.get("session_key", "") platform_name = watcher.get("platform", "") chat_id = watcher.get("chat_id", "") thread_id = watcher.get("thread_id", "") notify_mode = self._load_background_notifications_mode() logger.debug("Process watcher started: %s (every %ss, notify=%s)", session_id, interval, notify_mode) if notify_mode == "off": # Still wait for the process to exit so we can log it, but don't # push any messages to the user. while True: await asyncio.sleep(interval) session = process_registry.get(session_id) if session is None or session.exited: break logger.debug("Process watcher ended (silent): %s", session_id) return last_output_len = 0 while True: await asyncio.sleep(interval) session = process_registry.get(session_id) if session is None: break current_output_len = len(session.output_buffer) has_new_output = current_output_len > last_output_len last_output_len = current_output_len if session.exited: # Decide whether to notify based on mode should_notify = ( notify_mode in ("all", "result") or (notify_mode == "error" and session.exit_code not in (0, None)) ) if should_notify: new_output = session.output_buffer[-1000:] if session.output_buffer else "" message_text = ( f"[Background process {session_id} finished with exit code {session.exit_code}~ " f"Here's the final output:\n{new_output}]" ) adapter = None for p, a in self.adapters.items(): if p.value == platform_name: adapter = a break if adapter and chat_id: try: send_meta = {"thread_id": thread_id} if thread_id else None await adapter.send(chat_id, message_text, metadata=send_meta) except Exception as e: logger.error("Watcher delivery error: %s", e) break elif has_new_output and notify_mode == "all": # New output available -- deliver status update (only in "all" mode) new_output = session.output_buffer[-500:] if session.output_buffer else "" message_text = ( f"[Background process {session_id} is still running~ " f"New output:\n{new_output}]" ) adapter = None for p, a in self.adapters.items(): if p.value == platform_name: adapter = a break if adapter and chat_id: try: send_meta = {"thread_id": thread_id} if thread_id else None await adapter.send(chat_id, message_text, metadata=send_meta) except Exception as e: logger.error("Watcher delivery error: %s", e) logger.debug("Process watcher ended: %s", session_id) _MAX_INTERRUPT_DEPTH = 3 # Cap recursive interrupt handling (#816) @staticmethod def _agent_config_signature( model: str, runtime: dict, enabled_toolsets: list, ephemeral_prompt: str, ) -> str: """Compute a stable string key from agent config values. When this signature changes between messages, the cached AIAgent is discarded and rebuilt. When it stays the same, the cached agent is reused — preserving the frozen system prompt and tool schemas for prompt cache hits. """ import hashlib, json as _j # Fingerprint the FULL credential string instead of using a short # prefix. OAuth/JWT-style tokens frequently share a common prefix # (e.g. "eyJhbGci"), which can cause false cache hits across auth # switches if only the first few characters are considered. _api_key = str(runtime.get("api_key", "") or "") _api_key_fingerprint = hashlib.sha256(_api_key.encode()).hexdigest() if _api_key else "" blob = _j.dumps( [ model, _api_key_fingerprint, runtime.get("base_url", ""), runtime.get("provider", ""), runtime.get("api_mode", ""), sorted(enabled_toolsets) if enabled_toolsets else [], # reasoning_config excluded — it's set per-message on the # cached agent and doesn't affect system prompt or tools. ephemeral_prompt or "", ], sort_keys=True, default=str, ) return hashlib.sha256(blob.encode()).hexdigest()[:16] def _evict_cached_agent(self, session_key: str) -> None: """Remove a cached agent for a session (called on /new, /model, etc).""" _lock = getattr(self, "_agent_cache_lock", None) if _lock: with _lock: self._agent_cache.pop(session_key, None) async def _run_agent( self, message: str, context_prompt: str, history: List[Dict[str, Any]], source: SessionSource, session_id: str, session_key: str = None, _interrupt_depth: int = 0, event_message_id: Optional[str] = None, ) -> Dict[str, Any]: """ Run the agent with the given message and context. Returns the full result dict from run_conversation, including: - "final_response": str (the text to send back) - "messages": list (full conversation including tool calls) - "api_calls": int - "completed": bool This is run in a thread pool to not block the event loop. Supports interruption via new messages. """ from run_agent import AIAgent import queue user_config = _load_gateway_config() platform_key = _platform_config_key(source.platform) from hermes_cli.tools_config import _get_platform_tools enabled_toolsets = sorted(_get_platform_tools(user_config, platform_key)) # Tool progress mode from config.yaml: "all", "new", "verbose", "off" # Falls back to env vars for backward compatibility. # YAML 1.1 parses bare `off` as boolean False — normalise before # the `or` chain so it doesn't silently fall through to "all". _raw_tp = user_config.get("display", {}).get("tool_progress") if _raw_tp is False: _raw_tp = "off" progress_mode = ( _raw_tp or os.getenv("HERMES_TOOL_PROGRESS_MODE") or "all" ) tool_progress_enabled = progress_mode != "off" # Queue for progress messages (thread-safe) progress_queue = queue.Queue() if tool_progress_enabled else None last_tool = [None] # Mutable container for tracking in closure last_progress_msg = [None] # Track last message for dedup repeat_count = [0] # How many times the same message repeated def progress_callback(tool_name: str, preview: str = None, args: dict = None): """Callback invoked by agent when a tool is called.""" if not progress_queue: return # "new" mode: only report when tool changes if progress_mode == "new" and tool_name == last_tool[0]: return last_tool[0] = tool_name # Build progress message with primary argument preview from agent.display import get_tool_emoji emoji = get_tool_emoji(tool_name, default="⚙️") # Verbose mode: show detailed arguments if progress_mode == "verbose" and args: import json as _json args_str = _json.dumps(args, ensure_ascii=False, default=str) if len(args_str) > 200: args_str = args_str[:197] + "..." msg = f"{emoji} {tool_name}({list(args.keys())})\n{args_str}" progress_queue.put(msg) return if preview: # Truncate preview to keep messages clean if len(preview) > 80: preview = preview[:77] + "..." msg = f"{emoji} {tool_name}: \"{preview}\"" else: msg = f"{emoji} {tool_name}..." # Dedup: collapse consecutive identical progress messages. # Common with execute_code where models iterate with the same # code (same boilerplate imports → identical previews). if msg == last_progress_msg[0]: repeat_count[0] += 1 # Update the last line in progress_lines with a counter # via a special "dedup" queue message. progress_queue.put(("__dedup__", msg, repeat_count[0])) return last_progress_msg[0] = msg repeat_count[0] = 0 progress_queue.put(msg) # Background task to send progress messages # Accumulates tool lines into a single message that gets edited. # # Threading metadata is platform-specific: # - Slack DM threading needs event_message_id fallback (reply thread) # - Telegram uses message_thread_id only for forum topics; passing a # normal DM/group message id as thread_id causes send failures # - Other platforms should use explicit source.thread_id only if source.platform == Platform.SLACK: _progress_thread_id = source.thread_id or event_message_id else: _progress_thread_id = source.thread_id _progress_metadata = {"thread_id": _progress_thread_id} if _progress_thread_id else None async def send_progress_messages(): if not progress_queue: return adapter = self.adapters.get(source.platform) if not adapter: return progress_lines = [] # Accumulated tool lines progress_msg_id = None # ID of the progress message to edit can_edit = True # False once an edit fails (platform doesn't support it) while True: try: raw = progress_queue.get_nowait() # Handle dedup messages: update last line with repeat counter if isinstance(raw, tuple) and len(raw) == 3 and raw[0] == "__dedup__": _, base_msg, count = raw if progress_lines: progress_lines[-1] = f"{base_msg} (×{count + 1})" msg = progress_lines[-1] if progress_lines else base_msg else: msg = raw progress_lines.append(msg) if can_edit and progress_msg_id is not None: # Try to edit the existing progress message full_text = "\n".join(progress_lines) result = await adapter.edit_message( chat_id=source.chat_id, message_id=progress_msg_id, content=full_text, ) if not result.success: # Platform doesn't support editing — stop trying, # send just this new line as a separate message can_edit = False await adapter.send(chat_id=source.chat_id, content=msg, metadata=_progress_metadata) else: if can_edit: # First tool: send all accumulated text as new message full_text = "\n".join(progress_lines) result = await adapter.send(chat_id=source.chat_id, content=full_text, metadata=_progress_metadata) else: # Editing unsupported: send just this line result = await adapter.send(chat_id=source.chat_id, content=msg, metadata=_progress_metadata) if result.success and result.message_id: progress_msg_id = result.message_id # Restore typing indicator await asyncio.sleep(0.3) await adapter.send_typing(source.chat_id, metadata=_progress_metadata) except queue.Empty: await asyncio.sleep(0.3) except asyncio.CancelledError: # Drain remaining queued messages while not progress_queue.empty(): try: raw = progress_queue.get_nowait() if isinstance(raw, tuple) and len(raw) == 3 and raw[0] == "__dedup__": _, base_msg, count = raw if progress_lines: progress_lines[-1] = f"{base_msg} (×{count + 1})" else: progress_lines.append(raw) except Exception: break # Final edit with all remaining tools (only if editing works) if can_edit and progress_lines and progress_msg_id: full_text = "\n".join(progress_lines) try: await adapter.edit_message( chat_id=source.chat_id, message_id=progress_msg_id, content=full_text, ) except Exception: pass return except Exception as e: logger.error("Progress message error: %s", e) await asyncio.sleep(1) # We need to share the agent instance for interrupt support agent_holder = [None] # Mutable container for the agent instance result_holder = [None] # Mutable container for the result tools_holder = [None] # Mutable container for the tool definitions stream_consumer_holder = [None] # Mutable container for stream consumer # Bridge sync step_callback → async hooks.emit for agent:step events _loop_for_step = asyncio.get_event_loop() _hooks_ref = self.hooks def _step_callback_sync(iteration: int, tool_names: list) -> None: try: asyncio.run_coroutine_threadsafe( _hooks_ref.emit("agent:step", { "platform": source.platform.value if source.platform else "", "user_id": source.user_id, "session_id": session_id, "iteration": iteration, "tool_names": tool_names, }), _loop_for_step, ) except Exception as _e: logger.debug("agent:step hook error: %s", _e) # Bridge sync status_callback → async adapter.send for context pressure _status_adapter = self.adapters.get(source.platform) _status_chat_id = source.chat_id _status_thread_metadata = {"thread_id": _progress_thread_id} if _progress_thread_id else None def _status_callback_sync(event_type: str, message: str) -> None: if not _status_adapter: return try: asyncio.run_coroutine_threadsafe( _status_adapter.send( _status_chat_id, message, metadata=_status_thread_metadata, ), _loop_for_step, ) except Exception as _e: logger.debug("status_callback error (%s): %s", event_type, _e) def run_sync(): # Pass session_key to process registry via env var so background # processes can be mapped back to this gateway session os.environ["HERMES_SESSION_KEY"] = session_key or "" # Read from env var or use default (same as CLI) max_iterations = int(os.getenv("HERMES_MAX_ITERATIONS", "90")) # Map platform enum to the platform hint key the agent understands. # Platform.LOCAL ("local") maps to "cli"; others pass through as-is. platform_key = "cli" if source.platform == Platform.LOCAL else source.platform.value # Combine platform context with user-configured ephemeral system prompt combined_ephemeral = context_prompt or "" if self._ephemeral_system_prompt: combined_ephemeral = (combined_ephemeral + "\n\n" + self._ephemeral_system_prompt).strip() # Re-read .env and config for fresh credentials (gateway is long-lived, # keys may change without restart). try: load_dotenv(_env_path, override=True, encoding="utf-8") except UnicodeDecodeError: load_dotenv(_env_path, override=True, encoding="latin-1") except Exception: pass model = _resolve_gateway_model(user_config) try: runtime_kwargs = _resolve_runtime_agent_kwargs() except Exception as exc: return { "final_response": f"⚠️ Provider authentication failed: {exc}", "messages": [], "api_calls": 0, "tools": [], } pr = self._provider_routing honcho_manager, honcho_config = self._get_or_create_gateway_honcho(session_key) reasoning_config = self._load_reasoning_config() self._reasoning_config = reasoning_config # Set up streaming consumer if enabled _stream_consumer = None _stream_delta_cb = None _scfg = getattr(getattr(self, 'config', None), 'streaming', None) if _scfg is None: from gateway.config import StreamingConfig _scfg = StreamingConfig() if _scfg.enabled and _scfg.transport != "off": try: from gateway.stream_consumer import GatewayStreamConsumer, StreamConsumerConfig _adapter = self.adapters.get(source.platform) if _adapter: _consumer_cfg = StreamConsumerConfig( edit_interval=_scfg.edit_interval, buffer_threshold=_scfg.buffer_threshold, cursor=_scfg.cursor, ) _stream_consumer = GatewayStreamConsumer( adapter=_adapter, chat_id=source.chat_id, config=_consumer_cfg, metadata={"thread_id": _progress_thread_id} if _progress_thread_id else None, ) _stream_delta_cb = _stream_consumer.on_delta stream_consumer_holder[0] = _stream_consumer except Exception as _sc_err: logger.debug("Could not set up stream consumer: %s", _sc_err) turn_route = self._resolve_turn_agent_config(message, model, runtime_kwargs) # Check agent cache — reuse the AIAgent from the previous message # in this session to preserve the frozen system prompt and tool # schemas for prompt cache hits. _sig = self._agent_config_signature( turn_route["model"], turn_route["runtime"], enabled_toolsets, combined_ephemeral, ) agent = None _cache_lock = getattr(self, "_agent_cache_lock", None) _cache = getattr(self, "_agent_cache", None) if _cache_lock and _cache is not None: with _cache_lock: cached = _cache.get(session_key) if cached and cached[1] == _sig: agent = cached[0] logger.debug("Reusing cached agent for session %s", session_key) if agent is None: # Config changed or first message — create fresh agent agent = AIAgent( model=turn_route["model"], **turn_route["runtime"], max_iterations=max_iterations, quiet_mode=True, verbose_logging=False, enabled_toolsets=enabled_toolsets, ephemeral_system_prompt=combined_ephemeral or None, prefill_messages=self._prefill_messages or None, reasoning_config=reasoning_config, providers_allowed=pr.get("only"), providers_ignored=pr.get("ignore"), providers_order=pr.get("order"), provider_sort=pr.get("sort"), provider_require_parameters=pr.get("require_parameters", False), provider_data_collection=pr.get("data_collection"), session_id=session_id, platform=platform_key, honcho_session_key=session_key, honcho_manager=honcho_manager, honcho_config=honcho_config, session_db=self._session_db, fallback_model=self._fallback_model, ) if _cache_lock and _cache is not None: with _cache_lock: _cache[session_key] = (agent, _sig) logger.debug("Created new agent for session %s (sig=%s)", session_key, _sig) # Per-message state — callbacks and reasoning config change every # turn and must not be baked into the cached agent constructor. agent.tool_progress_callback = progress_callback if tool_progress_enabled else None agent.step_callback = _step_callback_sync if _hooks_ref.loaded_hooks else None agent.stream_delta_callback = _stream_delta_cb agent.status_callback = _status_callback_sync agent.reasoning_config = reasoning_config # Background review delivery — send "💾 Memory updated" etc. to user def _bg_review_send(message: str) -> None: if not _status_adapter: return try: asyncio.run_coroutine_threadsafe( _status_adapter.send( _status_chat_id, message, metadata=_status_thread_metadata, ), _loop_for_step, ) except Exception as _e: logger.debug("background_review_callback error: %s", _e) agent.background_review_callback = _bg_review_send # Store agent reference for interrupt support agent_holder[0] = agent # Capture the full tool definitions for transcript logging tools_holder[0] = agent.tools if hasattr(agent, 'tools') else None # Convert history to agent format. # Two cases: # 1. Normal path (from transcript): simple {role, content, timestamp} dicts # - Strip timestamps, keep role+content # 2. Interrupt path (from agent result["messages"]): full agent messages # that may include tool_calls, tool_call_id, reasoning, etc. # - These must be passed through intact so the API sees valid # assistant→tool sequences (dropping tool_calls causes 500 errors) agent_history = [] for msg in history: role = msg.get("role") if not role: continue # Skip metadata entries (tool definitions, session info) # -- these are for transcript logging, not for the LLM if role in ("session_meta",): continue # Skip system messages -- the agent rebuilds its own system prompt if role == "system": continue # Rich agent messages (tool_calls, tool results) must be passed # through intact so the API sees valid assistant→tool sequences has_tool_calls = "tool_calls" in msg has_tool_call_id = "tool_call_id" in msg is_tool_message = role == "tool" if has_tool_calls or has_tool_call_id or is_tool_message: clean_msg = {k: v for k, v in msg.items() if k != "timestamp"} agent_history.append(clean_msg) else: # Simple text message - just need role and content content = msg.get("content") if content: # Tag cross-platform mirror messages so the agent knows their origin if msg.get("mirror"): mirror_src = msg.get("mirror_source", "another session") content = f"[Delivered from {mirror_src}] {content}" entry = {"role": role, "content": content} # Preserve reasoning fields on assistant messages so # multi-turn reasoning context survives session reload. # The agent's _build_api_kwargs converts these to the # provider-specific format (reasoning_content, etc.). if role == "assistant": for _rkey in ("reasoning", "reasoning_details", "codex_reasoning_items"): _rval = msg.get(_rkey) if _rval: entry[_rkey] = _rval agent_history.append(entry) # Collect MEDIA paths already in history so we can exclude them # from the current turn's extraction. This is compression-safe: # even if the message list shrinks, we know which paths are old. _history_media_paths: set = set() for _hm in agent_history: if _hm.get("role") in ("tool", "function"): _hc = _hm.get("content", "") if "MEDIA:" in _hc: for _match in re.finditer(r'MEDIA:(\S+)', _hc): _p = _match.group(1).strip().rstrip('",}') if _p: _history_media_paths.add(_p) result = agent.run_conversation(message, conversation_history=agent_history, task_id=session_id) result_holder[0] = result # Signal the stream consumer that the agent is done if _stream_consumer is not None: _stream_consumer.finish() # Return final response, or a message if something went wrong final_response = result.get("final_response") # Extract actual token counts from the agent instance used for this run _last_prompt_toks = 0 _input_toks = 0 _output_toks = 0 _agent = agent_holder[0] if _agent and hasattr(_agent, "context_compressor"): _last_prompt_toks = getattr(_agent.context_compressor, "last_prompt_tokens", 0) _input_toks = getattr(_agent, "session_prompt_tokens", 0) _output_toks = getattr(_agent, "session_completion_tokens", 0) _resolved_model = getattr(_agent, "model", None) if _agent else None if not final_response: error_msg = f"⚠️ {result['error']}" if result.get("error") else "(No response generated)" return { "final_response": error_msg, "messages": result.get("messages", []), "api_calls": result.get("api_calls", 0), "tools": tools_holder[0] or [], "history_offset": len(agent_history), "last_prompt_tokens": _last_prompt_toks, "input_tokens": _input_toks, "output_tokens": _output_toks, "model": _resolved_model, } # Scan tool results for MEDIA: tags that need to be delivered # as native audio/file attachments. The TTS tool embeds MEDIA: tags # in its JSON response, but the model's final text reply usually # doesn't include them. We collect unique tags from tool results and # append any that aren't already present in the final response, so the # adapter's extract_media() can find and deliver the files exactly once. # # Uses path-based deduplication against _history_media_paths (collected # before run_conversation) instead of index slicing. This is safe even # when context compression shrinks the message list. (Fixes #160) if "MEDIA:" not in final_response: media_tags = [] has_voice_directive = False for msg in result.get("messages", []): if msg.get("role") in ("tool", "function"): content = msg.get("content", "") if "MEDIA:" in content: for match in re.finditer(r'MEDIA:(\S+)', content): path = match.group(1).strip().rstrip('",}') if path and path not in _history_media_paths: media_tags.append(f"MEDIA:{path}") if "[[audio_as_voice]]" in content: has_voice_directive = True if media_tags: seen = set() unique_tags = [] for tag in media_tags: if tag not in seen: seen.add(tag) unique_tags.append(tag) if has_voice_directive: unique_tags.insert(0, "[[audio_as_voice]]") final_response = final_response + "\n" + "\n".join(unique_tags) # Sync session_id: the agent may have created a new session during # mid-run context compression (_compress_context splits sessions). # If so, update the session store entry so the NEXT message loads # the compressed transcript, not the stale pre-compression one. agent = agent_holder[0] if agent and session_key and hasattr(agent, 'session_id') and agent.session_id != session_id: logger.info( "Session split detected: %s → %s (compression)", session_id, agent.session_id, ) entry = self.session_store._entries.get(session_key) if entry: entry.session_id = agent.session_id self.session_store._save() effective_session_id = getattr(agent, 'session_id', session_id) if agent else session_id # Auto-generate session title after first exchange (non-blocking) if final_response and self._session_db: try: from agent.title_generator import maybe_auto_title all_msgs = result_holder[0].get("messages", []) if result_holder[0] else [] maybe_auto_title( self._session_db, effective_session_id, message, final_response, all_msgs, ) except Exception: pass return { "final_response": final_response, "last_reasoning": result.get("last_reasoning"), "messages": result_holder[0].get("messages", []) if result_holder[0] else [], "api_calls": result_holder[0].get("api_calls", 0) if result_holder[0] else 0, "tools": tools_holder[0] or [], "history_offset": len(agent_history), "last_prompt_tokens": _last_prompt_toks, "input_tokens": _input_toks, "output_tokens": _output_toks, "model": _resolved_model, "session_id": effective_session_id, } # Start progress message sender if enabled progress_task = None if tool_progress_enabled: progress_task = asyncio.create_task(send_progress_messages()) # Start stream consumer task — polls for consumer creation since it # happens inside run_sync (thread pool) after the agent is constructed. stream_task = None async def _start_stream_consumer(): """Wait for the stream consumer to be created, then run it.""" for _ in range(200): # Up to 10s wait if stream_consumer_holder[0] is not None: await stream_consumer_holder[0].run() return await asyncio.sleep(0.05) stream_task = asyncio.create_task(_start_stream_consumer()) # Track this agent as running for this session (for interrupt support) # We do this in a callback after the agent is created async def track_agent(): # Wait for agent to be created while agent_holder[0] is None: await asyncio.sleep(0.05) if session_key: self._running_agents[session_key] = agent_holder[0] tracking_task = asyncio.create_task(track_agent()) # Monitor for interrupts from the adapter (new messages arriving) async def monitor_for_interrupt(): adapter = self.adapters.get(source.platform) if not adapter or not session_key: return while True: await asyncio.sleep(0.2) # Check every 200ms # Check if adapter has a pending interrupt for this session. # Must use session_key (build_session_key output) — NOT # source.chat_id — because the adapter stores interrupt events # under the full session key. if hasattr(adapter, 'has_pending_interrupt') and adapter.has_pending_interrupt(session_key): agent = agent_holder[0] if agent: pending_event = adapter.get_pending_message(session_key) pending_text = pending_event.text if pending_event else None logger.debug("Interrupt detected from adapter, signaling agent...") agent.interrupt(pending_text) break interrupt_monitor = asyncio.create_task(monitor_for_interrupt()) try: # Run in thread pool to not block loop = asyncio.get_event_loop() response = await loop.run_in_executor(None, run_sync) # Track fallback model state: if the agent switched to a # fallback model during this run, persist it so /model shows # the actually-active model instead of the config default. _agent = agent_holder[0] if _agent is not None and hasattr(_agent, 'model'): _cfg_model = _resolve_gateway_model() if _agent.model != _cfg_model: self._effective_model = _agent.model self._effective_provider = getattr(_agent, 'provider', None) # Fallback activated — evict cached agent so the next # message starts fresh and retries the primary model. self._evict_cached_agent(session_key) else: # Primary model worked — clear any stale fallback state self._effective_model = None self._effective_provider = None # Check if we were interrupted OR have a queued message (/queue). result = result_holder[0] adapter = self.adapters.get(source.platform) # Get pending message from adapter. # Use session_key (not source.chat_id) to match adapter's storage keys. pending = None if result and adapter and session_key: if result.get("interrupted"): # Interrupted — consume the interrupt message pending_event = adapter.get_pending_message(session_key) if pending_event: pending = pending_event.text elif result.get("interrupt_message"): pending = result.get("interrupt_message") else: # Normal completion — check for /queue'd messages that were # stored without triggering an interrupt. pending_event = adapter.get_pending_message(session_key) if pending_event: pending = pending_event.text logger.debug("Processing queued message after agent completion: '%s...'", pending[:40]) if pending: logger.debug("Processing pending message: '%s...'", pending[:40]) # Clear the adapter's interrupt event so the next _run_agent call # doesn't immediately re-trigger the interrupt before the new agent # even makes its first API call (this was causing an infinite loop). if adapter and hasattr(adapter, '_active_sessions') and session_key and session_key in adapter._active_sessions: adapter._active_sessions[session_key].clear() # Cap recursion depth to prevent resource exhaustion when the # user sends multiple messages while the agent keeps failing. (#816) if _interrupt_depth >= self._MAX_INTERRUPT_DEPTH: logger.warning( "Interrupt recursion depth %d reached for session %s — " "queueing message instead of recursing.", _interrupt_depth, session_key, ) # Queue the pending message for normal processing on next turn adapter = self.adapters.get(source.platform) if adapter and hasattr(adapter, 'queue_message'): adapter.queue_message(session_key, pending) return result_holder[0] or {"final_response": response, "messages": history} was_interrupted = result.get("interrupted") if not was_interrupted: # Queued message after normal completion — deliver the first # response before processing the queued follow-up. # Skip if streaming already delivered it. _sc = stream_consumer_holder[0] _already_streamed = _sc and getattr(_sc, "already_sent", False) first_response = result.get("final_response", "") if first_response and not _already_streamed: try: await adapter.send(source.chat_id, first_response, metadata=getattr(event, "metadata", None)) except Exception as e: logger.warning("Failed to send first response before queued message: %s", e) # else: interrupted — discard the interrupted response ("Operation # interrupted." is just noise; the user already knows they sent a # new message). # Process the pending message with updated history updated_history = result.get("messages", history) return await self._run_agent( message=pending, context_prompt=context_prompt, history=updated_history, source=source, session_id=session_id, session_key=session_key, _interrupt_depth=_interrupt_depth + 1, ) finally: # Stop progress sender and interrupt monitor if progress_task: progress_task.cancel() interrupt_monitor.cancel() # Wait for stream consumer to finish its final edit if stream_task: try: await asyncio.wait_for(stream_task, timeout=5.0) except (asyncio.TimeoutError, asyncio.CancelledError): stream_task.cancel() try: await stream_task except asyncio.CancelledError: pass # Clean up tracking tracking_task.cancel() if session_key and session_key in self._running_agents: del self._running_agents[session_key] # Wait for cancelled tasks for task in [progress_task, interrupt_monitor, tracking_task]: if task: try: await task except asyncio.CancelledError: pass # If streaming already delivered the response, mark it so the # caller's send() is skipped (avoiding duplicate messages). _sc = stream_consumer_holder[0] if _sc and _sc.already_sent and isinstance(response, dict): response["already_sent"] = True return response def _start_cron_ticker(stop_event: threading.Event, adapters=None, interval: int = 60): """ Background thread that ticks the cron scheduler at a regular interval. Runs inside the gateway process so cronjobs fire automatically without needing a separate `hermes cron daemon` or system cron entry. Also refreshes the channel directory every 5 minutes and prunes the image/audio/document cache once per hour. """ from cron.scheduler import tick as cron_tick from gateway.platforms.base import cleanup_image_cache, cleanup_document_cache IMAGE_CACHE_EVERY = 60 # ticks — once per hour at default 60s interval CHANNEL_DIR_EVERY = 5 # ticks — every 5 minutes logger.info("Cron ticker started (interval=%ds)", interval) tick_count = 0 while not stop_event.is_set(): try: cron_tick(verbose=False) except Exception as e: logger.debug("Cron tick error: %s", e) tick_count += 1 if tick_count % CHANNEL_DIR_EVERY == 0 and adapters: try: from gateway.channel_directory import build_channel_directory build_channel_directory(adapters) except Exception as e: logger.debug("Channel directory refresh error: %s", e) if tick_count % IMAGE_CACHE_EVERY == 0: try: removed = cleanup_image_cache(max_age_hours=24) if removed: logger.info("Image cache cleanup: removed %d stale file(s)", removed) except Exception as e: logger.debug("Image cache cleanup error: %s", e) try: removed = cleanup_document_cache(max_age_hours=24) if removed: logger.info("Document cache cleanup: removed %d stale file(s)", removed) except Exception as e: logger.debug("Document cache cleanup error: %s", e) stop_event.wait(timeout=interval) logger.info("Cron ticker stopped") async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool = False) -> bool: """ Start the gateway and run until interrupted. This is the main entry point for running the gateway. Returns True if the gateway ran successfully, False if it failed to start. A False return causes a non-zero exit code so systemd can auto-restart. Args: config: Optional gateway configuration override. replace: If True, kill any existing gateway instance before starting. Useful for systemd services to avoid restart-loop deadlocks when the previous process hasn't fully exited yet. """ # ── Duplicate-instance guard ────────────────────────────────────── # Prevent two gateways from running under the same HERMES_HOME. # The PID file is scoped to HERMES_HOME, so future multi-profile # setups (each profile using a distinct HERMES_HOME) will naturally # allow concurrent instances without tripping this guard. import time as _time from gateway.status import get_running_pid, remove_pid_file existing_pid = get_running_pid() if existing_pid is not None and existing_pid != os.getpid(): if replace: logger.info( "Replacing existing gateway instance (PID %d) with --replace.", existing_pid, ) try: os.kill(existing_pid, signal.SIGTERM) except ProcessLookupError: pass # Already gone except PermissionError: logger.error( "Permission denied killing PID %d. Cannot replace.", existing_pid, ) return False # Wait up to 10 seconds for the old process to exit for _ in range(20): try: os.kill(existing_pid, 0) _time.sleep(0.5) except (ProcessLookupError, PermissionError): break # Process is gone else: # Still alive after 10s — force kill logger.warning( "Old gateway (PID %d) did not exit after SIGTERM, sending SIGKILL.", existing_pid, ) try: os.kill(existing_pid, signal.SIGKILL) _time.sleep(0.5) except (ProcessLookupError, PermissionError): pass remove_pid_file() # Also release all scoped locks left by the old process. # Stopped (Ctrl+Z) processes don't release locks on exit, # leaving stale lock files that block the new gateway from starting. try: from gateway.status import release_all_scoped_locks _released = release_all_scoped_locks() if _released: logger.info("Released %d stale scoped lock(s) from old gateway.", _released) except Exception: pass else: hermes_home = str(get_hermes_home()) logger.error( "Another gateway instance is already running (PID %d, HERMES_HOME=%s). " "Use 'hermes gateway restart' to replace it, or 'hermes gateway stop' first.", existing_pid, hermes_home, ) print( f"\n❌ Gateway already running (PID {existing_pid}).\n" f" Use 'hermes gateway restart' to replace it,\n" f" or 'hermes gateway stop' to kill it first.\n" f" Or use 'hermes gateway run --replace' to auto-replace.\n" ) return False # Sync bundled skills on gateway start (fast -- skips unchanged) try: from tools.skills_sync import sync_skills sync_skills(quiet=True) except Exception: pass # Configure rotating file log so gateway output is persisted for debugging log_dir = _hermes_home / 'logs' log_dir.mkdir(parents=True, exist_ok=True) file_handler = RotatingFileHandler( log_dir / 'gateway.log', maxBytes=5 * 1024 * 1024, backupCount=3, ) from agent.redact import RedactingFormatter file_handler.setFormatter(RedactingFormatter('%(asctime)s %(levelname)s %(name)s: %(message)s')) logging.getLogger().addHandler(file_handler) logging.getLogger().setLevel(logging.INFO) # Separate errors-only log for easy debugging error_handler = RotatingFileHandler( log_dir / 'errors.log', maxBytes=2 * 1024 * 1024, backupCount=2, ) error_handler.setLevel(logging.WARNING) error_handler.setFormatter(RedactingFormatter('%(asctime)s %(levelname)s %(name)s: %(message)s')) logging.getLogger().addHandler(error_handler) runner = GatewayRunner(config) # Set up signal handlers def signal_handler(): asyncio.create_task(runner.stop()) loop = asyncio.get_event_loop() for sig in (signal.SIGINT, signal.SIGTERM): try: loop.add_signal_handler(sig, signal_handler) except NotImplementedError: pass # Start the gateway success = await runner.start() if not success: return False if runner.should_exit_cleanly: if runner.exit_reason: logger.error("Gateway exiting cleanly: %s", runner.exit_reason) return True # Write PID file so CLI can detect gateway is running import atexit from gateway.status import write_pid_file, remove_pid_file write_pid_file() atexit.register(remove_pid_file) # Start background cron ticker so scheduled jobs fire automatically cron_stop = threading.Event() cron_thread = threading.Thread( target=_start_cron_ticker, args=(cron_stop,), kwargs={"adapters": runner.adapters}, daemon=True, name="cron-ticker", ) cron_thread.start() # Wait for shutdown await runner.wait_for_shutdown() if runner.should_exit_with_failure: if runner.exit_reason: logger.error("Gateway exiting with failure: %s", runner.exit_reason) return False # Stop cron ticker cleanly cron_stop.set() cron_thread.join(timeout=5) # Close MCP server connections try: from tools.mcp_tool import shutdown_mcp_servers shutdown_mcp_servers() except Exception: pass return True def main(): """CLI entry point for the gateway.""" import argparse parser = argparse.ArgumentParser(description="Hermes Gateway - Multi-platform messaging") parser.add_argument("--config", "-c", help="Path to gateway config file") parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output") args = parser.parse_args() config = None if args.config: import json with open(args.config, encoding="utf-8") as f: data = json.load(f) config = GatewayConfig.from_dict(data) # Run the gateway - exit with code 1 if no platforms connected, # so systemd Restart=on-failure will retry on transient errors (e.g. DNS) success = asyncio.run(start_gateway(config)) if not success: sys.exit(1) if __name__ == "__main__": main()