Files
hermes-agent/gateway/run.py
Teknium 52dd479214 Merge pull request #2361 from NousResearch/hermes/hermes-5d6932ba
feat(gateway): cache AIAgent per session for prompt caching
2026-03-21 16:53:21 -07:00

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"""
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)
_hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
# 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 {}
# 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, DeliveryTarget
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 _resolve_gateway_model() -> 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"
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 {}
_model_cfg = _cfg.get("model", {})
if isinstance(_model_cfg, str):
model = _model_cfg
elif isinstance(_model_cfg, dict):
model = _model_cfg.get("default", model)
except Exception:
pass
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]] = {}
# 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()
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.
"""
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,
)
# 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")
]
# 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"
"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 a non-retryable adapter failure after startup."""
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
if not self.adapters:
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()
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).
"""
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", "")
if not effort:
return None
effort = effort.lower().strip()
if effort == "none":
return {"enabled": False}
valid = ("xhigh", "high", "medium", "low", "minimal")
if effort in valid:
return {"enabled": True, "effort": effort}
logger.warning("Unknown reasoning_effort '%s', using default (medium)", effort)
return None
@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",
"SMS_ALLOWED_USERS",
"GATEWAY_ALLOWED_USERS")
)
_allow_all = os.getenv("GATEWAY_ALLOW_ALL_USERS", "").lower() in ("true", "1", "yes")
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}"
)
else:
startup_retryable_errors.append(
f"{platform.value}: failed to connect"
)
except Exception as e:
logger.error("%s error: %s", platform.value, e)
startup_retryable_errors.append(f"{platform.value}: {e}")
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())
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 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)
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)
# /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.
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
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 <prompt> — queue without interrupting
if event.get_command() in ("queue", "q"):
queued_text = event.get_command_args().strip()
if not queued_text:
return "Usage: /queue <prompt>"
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":
# Nothing to interrupt — agent hasn't started yet.
return "⏳ The agent is still starting up — nothing to stop yet."
# 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 == "model":
return await self._handle_model_command(event)
if canonical == "reasoning":
return await self._handle_reasoning_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):
context_prompt = (
"[System note: The user's previous session expired due to inactivity. "
"This is a fresh conversation with no prior context.]\n\n"
+ context_prompt
)
session_entry.was_auto_reset = False
# 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) with a 1.4x
# safety factor to account for overestimation on tool-heavy
# conversations (code/JSON tokenizes at 5-7+ chars/token).
# -----------------------------------------------------------------
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
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 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")
except Exception:
pass
if _hyg_compression_enabled:
_hyg_context_length = get_model_context_length(_hyg_model)
_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.
# The rough estimate (str(msg)//4) overestimates by 30-50% on
# tool-heavy/code-heavy conversations, causing premature compression.
_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)
# Apply safety factor only for rough estimates
_compress_token_threshold = int(
_compress_token_threshold * 1.4
)
_warn_token_threshold = int(_warn_token_threshold * 1.4)
_token_source = "estimated"
_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,
)
loop = asyncio.get_event_loop()
_compressed, _ = await loop.run_in_executor(
None,
lambda: _hyg_agent._compress_context(
_hyg_msgs, "",
approx_tokens=_approx_tokens,
),
)
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>_<original_filename>
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
)
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:
await self._deliver_media_from_response(
response, event, adapter,
)
return None
return response
except Exception as e:
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()
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:
asyncio.create_task(
self._async_flush_memories(old_entry.session_id, session_key)
)
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,
})
if new_entry:
return "✨ Session reset! I've started fresh with no memory of our previous conversation."
else:
# No existing session, just create one
self.session_store.get_or_create_session(source, force_new=True)
return "✨ New session started!"
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."""
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:
return "⏳ The agent is still starting up — nothing to stop yet."
if agent:
agent.interrupt()
return "⚡ Stopping the current task... The agent will finish its current step and respond."
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_model_command(self, event: MessageEvent) -> str:
"""Handle /model command - show or change the current model."""
import yaml
from hermes_cli.models import (
parse_model_input,
validate_requested_model,
curated_models_for_provider,
normalize_provider,
_PROVIDER_LABELS,
)
args = event.get_command_args().strip()
config_path = _hermes_home / 'config.yaml'
# Resolve current model and provider from config
current = os.getenv("HERMES_MODEL") or "anthropic/claude-opus-4.6"
current_provider = "openrouter"
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, str):
current = model_cfg
elif isinstance(model_cfg, dict):
current = model_cfg.get("default", current)
current_provider = model_cfg.get("provider", current_provider)
except Exception:
pass
# Resolve "auto" to the actual provider using credential detection
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: provider resolved to openrouter but a custom
# base URL is configured — the user set up a custom endpoint.
if current_provider == "openrouter" and os.getenv("OPENAI_BASE_URL", "").strip():
current_provider = "custom"
if not args:
# If a fallback model is active, show it instead of config
if self._effective_model:
eff_provider = self._effective_provider or 'unknown'
eff_label = _PROVIDER_LABELS.get(eff_provider, eff_provider)
cfg_label = _PROVIDER_LABELS.get(current_provider, current_provider)
lines = [
f"🤖 **Active model:** `{self._effective_model}` (fallback)",
f"**Provider:** {eff_label}",
f"**Primary model** (`{current}` via {cfg_label}) is rate-limited.",
"",
]
lines.append("To change: `/model model-name`")
lines.append("Switch provider: `/model provider:model-name`")
return "\n".join(lines)
provider_label = _PROVIDER_LABELS.get(current_provider, current_provider)
lines = [
f"🤖 **Current model:** `{current}`",
f"**Provider:** {provider_label}",
]
# Show custom endpoint URL when using a custom provider
if current_provider == "custom":
from hermes_cli.models import _get_custom_base_url
custom_url = _get_custom_base_url() or os.getenv("OPENAI_BASE_URL", "")
if custom_url:
lines.append(f"**Endpoint:** `{custom_url}`")
lines.append("")
curated = curated_models_for_provider(current_provider)
if curated:
lines.append(f"**Available models ({provider_label}):**")
for mid, desc in curated:
marker = "" if mid == current else ""
label = f" _{desc}_" if desc else ""
lines.append(f"• `{mid}`{label}{marker}")
lines.append("")
lines.append("To change: `/model model-name`")
lines.append("Switch provider: `/model provider-name` or `/model provider:model-name`")
return "\n".join(lines)
# Parse provider:model syntax
target_provider, new_model = parse_model_input(args, current_provider)
# Detect custom/local provider — skip auto-detection to prevent
# silently accepting an OpenRouter model name on a localhost endpoint.
# Users must use explicit provider:model syntax to switch away.
_resolved_base = ""
try:
from hermes_cli.runtime_provider import resolve_runtime_provider as _rtp
_resolved_base = _rtp(requested=current_provider).get("base_url", "")
except Exception:
pass
is_custom = current_provider == "custom" or (
"localhost" in _resolved_base or "127.0.0.1" in _resolved_base
)
# Auto-detect provider when no explicit provider:model syntax was used
if target_provider == current_provider and not is_custom:
from hermes_cli.models import detect_provider_for_model
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
provider_changed = target_provider != current_provider
# Resolve credentials for the target provider (for API probe)
api_key = os.getenv("OPENROUTER_API_KEY") or os.getenv("OPENAI_API_KEY") or ""
base_url = "https://openrouter.ai/api/v1"
if provider_changed:
try:
from hermes_cli.runtime_provider import resolve_runtime_provider
runtime = resolve_runtime_provider(requested=target_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
except Exception as e:
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
return f"⚠️ Could not resolve credentials for provider '{provider_label}': {e}"
else:
# Use current provider's base_url from config or registry
try:
from hermes_cli.runtime_provider import resolve_runtime_provider
runtime = resolve_runtime_provider(requested=current_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
except Exception:
pass
# Validate the model against the live API
try:
validation = validate_requested_model(
new_model,
target_provider,
api_key=api_key,
base_url=base_url,
)
except Exception:
validation = {"accepted": True, "persist": True, "recognized": False, "message": None}
if not validation.get("accepted"):
msg = validation.get("message", "Invalid model")
tip = "\n\nUse `/model` to see available models, `/provider` to see providers" if "Did you mean" not in msg else ""
return f"⚠️ {msg}{tip}"
# Persist to config only if validation approves
if validation.get("persist"):
try:
user_config = {}
if config_path.exists():
with open(config_path, encoding="utf-8") as f:
user_config = yaml.safe_load(f) or {}
if "model" not in user_config or not isinstance(user_config["model"], dict):
user_config["model"] = {}
user_config["model"]["default"] = new_model
if provider_changed:
user_config["model"]["provider"] = target_provider
with open(config_path, 'w', encoding="utf-8") as f:
yaml.dump(user_config, f, default_flow_style=False, sort_keys=False)
except Exception as e:
return f"⚠️ Failed to save model change: {e}"
# Set env vars so the next agent run picks up the change
os.environ["HERMES_MODEL"] = new_model
if provider_changed:
os.environ["HERMES_INFERENCE_PROVIDER"] = target_provider
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
provider_note = f"\n**Provider:** {provider_label}" if provider_changed else ""
warning = ""
if validation.get("message"):
warning = f"\n⚠️ {validation['message']}"
if validation.get("persist"):
persist_note = "saved to config"
else:
persist_note = "this session only — will revert on restart"
# Clear fallback state since user explicitly chose a model
self._effective_model = None
self._effective_provider = None
# Helpful hint when staying on a custom/local endpoint
custom_hint = ""
if is_custom and not provider_changed:
endpoint = _resolved_base or "custom endpoint"
custom_hint = (
f"\n**Endpoint:** `{endpoint}`"
"\n_To switch providers, use_ `/model provider:model`"
"\n_e.g._ `/model openrouter:anthropic/claude-sonnet-4`"
)
return f"🤖 Model changed to `{new_model}` ({persist_note}){provider_note}{warning}{custom_hint}\n_(takes effect on next message)_"
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(f"\nUsage: `/personality <name>`")
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 <prompt> — 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 <prompt>\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
asyncio.create_task(
self._run_background_task(prompt, source, task_id)
)
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
# Read model from config via shared helper
model = _resolve_gateway_model()
# Determine toolset (same logic as _run_agent)
default_toolset_map = {
Platform.LOCAL: "hermes-cli",
Platform.TELEGRAM: "hermes-telegram",
Platform.DISCORD: "hermes-discord",
Platform.WHATSAPP: "hermes-whatsapp",
Platform.SLACK: "hermes-slack",
Platform.SIGNAL: "hermes-signal",
Platform.HOMEASSISTANT: "hermes-homeassistant",
Platform.EMAIL: "hermes-email",
Platform.DINGTALK: "hermes-dingtalk",
}
platform_toolsets_config = {}
try:
config_path = _hermes_home / 'config.yaml'
if config_path.exists():
import yaml
with open(config_path, 'r', encoding="utf-8") as f:
user_config = yaml.safe_load(f) or {}
platform_toolsets_config = user_config.get("platform_toolsets", {})
except Exception:
pass
platform_config_key = {
Platform.LOCAL: "cli",
Platform.TELEGRAM: "telegram",
Platform.DISCORD: "discord",
Platform.WHATSAPP: "whatsapp",
Platform.SLACK: "slack",
Platform.SIGNAL: "signal",
Platform.HOMEASSISTANT: "homeassistant",
Platform.EMAIL: "email",
Platform.DINGTALK: "dingtalk",
}.get(source.platform, "telegram")
config_toolsets = platform_toolsets_config.get(platform_config_key)
if config_toolsets and isinstance(config_toolsets, list):
enabled_toolsets = config_toolsets
else:
default_toolset = default_toolset_map.get(source.platform, "hermes-telegram")
enabled_toolsets = [default_toolset]
platform_key = "cli" if source.platform == Platform.LOCAL else source.platform.value
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 <level> 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 <none|low|medium|high|xhigh|show|hide>`"
)
# 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_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,
)
loop = asyncio.get_event_loop()
compressed, _ = await loop.run_in_executor(
None,
lambda: tmp_agent._compress_context(msgs, "", approx_tokens=approx_tokens),
)
self.session_store.rewrite_transcript(session_entry.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 <session name>`")
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:
asyncio.create_task(
self._async_flush_memories(current_entry.session_id, session_key)
)
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 = 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
blob = _j.dumps(
[
model,
runtime.get("api_key", "")[:8], # first 8 chars only
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,
) -> 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
# Determine toolset based on platform.
# Check config.yaml for per-platform overrides, fallback to hardcoded defaults.
default_toolset_map = {
Platform.LOCAL: "hermes-cli",
Platform.TELEGRAM: "hermes-telegram",
Platform.DISCORD: "hermes-discord",
Platform.WHATSAPP: "hermes-whatsapp",
Platform.SLACK: "hermes-slack",
Platform.SIGNAL: "hermes-signal",
Platform.HOMEASSISTANT: "hermes-homeassistant",
Platform.EMAIL: "hermes-email",
Platform.DINGTALK: "hermes-dingtalk",
}
# Try to load platform_toolsets from config
platform_toolsets_config = {}
try:
config_path = _hermes_home / 'config.yaml'
if config_path.exists():
import yaml
with open(config_path, 'r', encoding="utf-8") as f:
user_config = yaml.safe_load(f) or {}
platform_toolsets_config = user_config.get("platform_toolsets", {})
except Exception as e:
logger.debug("Could not load platform_toolsets config: %s", e)
# Map platform enum to config key
platform_config_key = {
Platform.LOCAL: "cli",
Platform.TELEGRAM: "telegram",
Platform.DISCORD: "discord",
Platform.WHATSAPP: "whatsapp",
Platform.SLACK: "slack",
Platform.SIGNAL: "signal",
Platform.HOMEASSISTANT: "homeassistant",
Platform.EMAIL: "email",
Platform.DINGTALK: "dingtalk",
}.get(source.platform, "telegram")
# Use config override if present (list of toolsets), otherwise hardcoded default
config_toolsets = platform_toolsets_config.get(platform_config_key)
if config_toolsets and isinstance(config_toolsets, list):
enabled_toolsets = config_toolsets
else:
default_toolset = default_toolset_map.get(source.platform, "hermes-telegram")
enabled_toolsets = [default_toolset]
# Tool progress mode from config.yaml: "all", "new", "verbose", "off"
# Falls back to env vars for backward compatibility
_progress_cfg = {}
try:
_tp_cfg_path = _hermes_home / "config.yaml"
if _tp_cfg_path.exists():
import yaml as _tp_yaml
with open(_tp_cfg_path, encoding="utf-8") as _tp_f:
_tp_data = _tp_yaml.safe_load(_tp_f) or {}
_progress_cfg = _tp_data.get("display", {})
except Exception:
pass
progress_mode = (
_progress_cfg.get("tool_progress")
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
_progress_metadata = {"thread_id": source.thread_id} if source.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": source.thread_id} if source.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()
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": source.thread_id} if source.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
# 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}"
agent_history.append({"role": role, "content": content})
# 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:<path> 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 and have a pending message
result = result_holder[0]
adapter = self.adapters.get(source.platform)
# Get pending message from adapter if interrupted.
# Use session_key (not source.chat_id) to match adapter's storage keys.
pending = None
if result and result.get("interrupted") and adapter:
pending_event = adapter.get_pending_message(session_key) if session_key else None
if pending_event:
pending = pending_event.text
elif result.get("interrupt_message"):
pending = result.get("interrupt_message")
if pending:
logger.debug("Processing interrupted 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}
# Don't send the interrupted response to the user — it's just noise
# like "Operation interrupted." They already know they sent a new
# message, so go straight to processing it.
# Now 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()
else:
hermes_home = os.getenv("HERMES_HOME", "~/.hermes")
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()