Merge origin/main into hermes/hermes-dd253d81

This commit is contained in:
teknium1 2026-03-14 20:53:59 -07:00
commit 31db8c28a4
64 changed files with 3203 additions and 1055 deletions

View file

@ -236,6 +236,43 @@ def _write_claude_code_credentials(access_token: str, refresh_token: str, expire
logger.debug("Failed to write refreshed credentials: %s", e)
def _resolve_claude_code_token_from_credentials(creds: Optional[Dict[str, Any]] = None) -> Optional[str]:
"""Resolve a token from Claude Code credential files, refreshing if needed."""
creds = creds or read_claude_code_credentials()
if creds and is_claude_code_token_valid(creds):
logger.debug("Using Claude Code credentials (auto-detected)")
return creds["accessToken"]
if creds:
logger.debug("Claude Code credentials expired — attempting refresh")
refreshed = _refresh_oauth_token(creds)
if refreshed:
return refreshed
logger.debug("Token refresh failed — re-run 'claude setup-token' to reauthenticate")
return None
def _prefer_refreshable_claude_code_token(env_token: str, creds: Optional[Dict[str, Any]]) -> Optional[str]:
"""Prefer Claude Code creds when a persisted env OAuth token would shadow refresh.
Hermes historically persisted setup tokens into ANTHROPIC_TOKEN. That makes
later refresh impossible because the static env token wins before we ever
inspect Claude Code's refreshable credential file. If we have a refreshable
Claude Code credential record, prefer it over the static env OAuth token.
"""
if not env_token or not _is_oauth_token(env_token) or not isinstance(creds, dict):
return None
if not creds.get("refreshToken"):
return None
resolved = _resolve_claude_code_token_from_credentials(creds)
if resolved and resolved != env_token:
logger.debug(
"Preferring Claude Code credential file over static env OAuth token so refresh can proceed"
)
return resolved
return None
def resolve_anthropic_token() -> Optional[str]:
"""Resolve an Anthropic token from all available sources.
@ -248,28 +285,28 @@ def resolve_anthropic_token() -> Optional[str]:
Returns the token string or None.
"""
creds = read_claude_code_credentials()
# 1. Hermes-managed OAuth/setup token env var
token = os.getenv("ANTHROPIC_TOKEN", "").strip()
if token:
preferred = _prefer_refreshable_claude_code_token(token, creds)
if preferred:
return preferred
return token
# 2. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
cc_token = os.getenv("CLAUDE_CODE_OAUTH_TOKEN", "").strip()
if cc_token:
preferred = _prefer_refreshable_claude_code_token(cc_token, creds)
if preferred:
return preferred
return cc_token
# 3. Claude Code credential file
creds = read_claude_code_credentials()
if creds and is_claude_code_token_valid(creds):
logger.debug("Using Claude Code credentials (auto-detected)")
return creds["accessToken"]
elif creds:
# Token expired — attempt to refresh
logger.debug("Claude Code credentials expired — attempting refresh")
refreshed = _refresh_oauth_token(creds)
if refreshed:
return refreshed
logger.debug("Token refresh failed — re-run 'claude setup-token' to reauthenticate")
resolved_claude_token = _resolve_claude_code_token_from_credentials(creds)
if resolved_claude_token:
return resolved_claude_token
# 4. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
# This remains as a compatibility fallback for pre-migration Hermes configs.

View file

@ -768,48 +768,107 @@ def get_async_text_auxiliary_client(task: str = ""):
return resolve_provider_client("auto", async_mode=True)
def get_vision_auxiliary_client() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Return (client, default_model_slug) for vision/multimodal auxiliary tasks.
_VISION_AUTO_PROVIDER_ORDER = (
"openrouter",
"nous",
"openai-codex",
"custom",
)
Checks AUXILIARY_VISION_PROVIDER for a forced provider, otherwise
auto-detects. Callers may override the returned model with
AUXILIARY_VISION_MODEL.
In auto mode, only providers known to support multimodal are tried:
OpenRouter, Nous Portal, and Codex OAuth (gpt-5.3-codex supports
vision via the Responses API). Custom endpoints and API-key
providers are skipped they may not handle vision input. To use
them, set AUXILIARY_VISION_PROVIDER explicitly.
"""
forced = _get_auxiliary_provider("vision")
if forced != "auto":
return resolve_provider_client(forced)
# Auto: try providers known to support multimodal first, then fall
# back to the user's custom endpoint. Many local models (Qwen-VL,
# LLaVA, Pixtral, etc.) support vision — skipping them entirely
# caused silent failures for local-only users.
for try_fn in (_try_openrouter, _try_nous, _try_codex,
_try_custom_endpoint):
client, model = try_fn()
if client is not None:
return client, model
logger.debug("Auxiliary vision client: none available")
def _normalize_vision_provider(provider: Optional[str]) -> str:
provider = (provider or "auto").strip().lower()
if provider == "codex":
return "openai-codex"
if provider == "main":
return "custom"
return provider
def _resolve_strict_vision_backend(provider: str) -> Tuple[Optional[Any], Optional[str]]:
provider = _normalize_vision_provider(provider)
if provider == "openrouter":
return _try_openrouter()
if provider == "nous":
return _try_nous()
if provider == "openai-codex":
return _try_codex()
if provider == "custom":
return _try_custom_endpoint()
return None, None
def get_async_vision_auxiliary_client():
"""Return (async_client, model_slug) for async vision consumers.
def _strict_vision_backend_available(provider: str) -> bool:
return _resolve_strict_vision_backend(provider)[0] is not None
Properly handles Codex routing unlike manually constructing
AsyncOpenAI from a sync client, this preserves the Responses API
adapter for Codex providers.
Returns (None, None) when no provider is available.
def get_available_vision_backends() -> List[str]:
"""Return the currently available vision backends in auto-selection order.
This is the single source of truth for setup, tool gating, and runtime
auto-routing of vision tasks. Phase 1 keeps the auto list conservative:
OpenRouter, Nous Portal, Codex OAuth, then custom OpenAI-compatible
endpoints. Explicit provider overrides can still route elsewhere.
"""
sync_client, model = get_vision_auxiliary_client()
if sync_client is None:
return None, None
return _to_async_client(sync_client, model)
return [
provider
for provider in _VISION_AUTO_PROVIDER_ORDER
if _strict_vision_backend_available(provider)
]
def resolve_vision_provider_client(
provider: Optional[str] = None,
model: Optional[str] = None,
*,
async_mode: bool = False,
) -> Tuple[Optional[str], Optional[Any], Optional[str]]:
"""Resolve the client actually used for vision tasks.
Explicit provider overrides still use the generic provider router for
non-standard backends, so users can intentionally force experimental
providers. Auto mode stays conservative and only tries vision backends
known to work today.
"""
requested = _normalize_vision_provider(provider or _get_auxiliary_provider("vision"))
def _finalize(resolved_provider: str, sync_client: Any, default_model: Optional[str]):
if sync_client is None:
return resolved_provider, None, None
final_model = model or default_model
if async_mode:
async_client, async_model = _to_async_client(sync_client, final_model)
return resolved_provider, async_client, async_model
return resolved_provider, sync_client, final_model
if requested == "auto":
for candidate in get_available_vision_backends():
sync_client, default_model = _resolve_strict_vision_backend(candidate)
if sync_client is not None:
return _finalize(candidate, sync_client, default_model)
logger.debug("Auxiliary vision client: none available")
return None, None, None
if requested in _VISION_AUTO_PROVIDER_ORDER:
sync_client, default_model = _resolve_strict_vision_backend(requested)
return _finalize(requested, sync_client, default_model)
client, final_model = _get_cached_client(requested, model, async_mode)
if client is None:
return requested, None, None
return requested, client, final_model
def get_vision_auxiliary_client() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Return (client, default_model_slug) for vision/multimodal auxiliary tasks."""
_, client, final_model = resolve_vision_provider_client(async_mode=False)
return client, final_model
def get_async_vision_auxiliary_client():
"""Return (async_client, model_slug) for async vision consumers."""
_, client, final_model = resolve_vision_provider_client(async_mode=True)
return client, final_model
def get_auxiliary_extra_body() -> dict:
@ -1010,18 +1069,41 @@ def call_llm(
resolved_provider, resolved_model = _resolve_task_provider_model(
task, provider, model)
client, final_model = _get_cached_client(resolved_provider, resolved_model)
if client is None:
# Fallback: try openrouter
if resolved_provider != "openrouter":
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
provider=resolved_provider,
model=resolved_model,
async_mode=False,
)
if client is None and resolved_provider != "auto":
logger.warning(
"Vision provider %s unavailable, falling back to auto vision backends",
resolved_provider,
)
effective_provider, client, final_model = resolve_vision_provider_client(
provider="auto",
model=resolved_model,
async_mode=False,
)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup"
)
resolved_provider = effective_provider or resolved_provider
else:
client, final_model = _get_cached_client(resolved_provider, resolved_model)
if client is None:
# Fallback: try openrouter
if resolved_provider != "openrouter":
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,
@ -1059,19 +1141,42 @@ async def async_call_llm(
resolved_provider, resolved_model = _resolve_task_provider_model(
task, provider, model)
client, final_model = _get_cached_client(
resolved_provider, resolved_model, async_mode=True)
if client is None:
if resolved_provider != "openrouter":
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL,
async_mode=True)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
provider=resolved_provider,
model=resolved_model,
async_mode=True,
)
if client is None and resolved_provider != "auto":
logger.warning(
"Vision provider %s unavailable, falling back to auto vision backends",
resolved_provider,
)
effective_provider, client, final_model = resolve_vision_provider_client(
provider="auto",
model=resolved_model,
async_mode=True,
)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup"
)
resolved_provider = effective_provider or resolved_provider
else:
client, final_model = _get_cached_client(
resolved_provider, resolved_model, async_mode=True)
if client is None:
if resolved_provider != "openrouter":
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL,
async_mode=True)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,

View file

@ -80,7 +80,7 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int = 40) -> str | N
"image_generate": "prompt", "text_to_speech": "text",
"vision_analyze": "question", "mixture_of_agents": "user_prompt",
"skill_view": "name", "skills_list": "category",
"schedule_cronjob": "name",
"cronjob": "action",
"execute_code": "code", "delegate_task": "goal",
"clarify": "question", "skill_manage": "name",
}
@ -513,12 +513,15 @@ def get_cute_tool_message(
return _wrap(f"┊ 🧠 reason {_trunc(args.get('user_prompt', ''), 30)} {dur}")
if tool_name == "send_message":
return _wrap(f"┊ 📨 send {args.get('target', '?')}: \"{_trunc(args.get('message', ''), 25)}\" {dur}")
if tool_name == "schedule_cronjob":
return _wrap(f"┊ ⏰ schedule {_trunc(args.get('name', args.get('prompt', 'task')), 30)} {dur}")
if tool_name == "list_cronjobs":
return _wrap(f"┊ ⏰ jobs listing {dur}")
if tool_name == "remove_cronjob":
return _wrap(f"┊ ⏰ remove job {args.get('job_id', '?')} {dur}")
if tool_name == "cronjob":
action = args.get("action", "?")
if action == "create":
skills = args.get("skills") or ([] if not args.get("skill") else [args.get("skill")])
label = args.get("name") or (skills[0] if skills else None) or args.get("prompt", "task")
return _wrap(f"┊ ⏰ cron create {_trunc(label, 24)} {dur}")
if action == "list":
return _wrap(f"┊ ⏰ cron listing {dur}")
return _wrap(f"┊ ⏰ cron {action} {args.get('job_id', '')} {dur}")
if tool_name.startswith("rl_"):
rl = {
"rl_list_environments": "list envs", "rl_select_environment": f"select {args.get('name', '')}",

View file

@ -14,6 +14,110 @@ logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
"""Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
raw_identifier = (skill_identifier or "").strip()
if not raw_identifier:
return None
try:
from tools.skills_tool import SKILLS_DIR, skill_view
identifier_path = Path(raw_identifier).expanduser()
if identifier_path.is_absolute():
try:
normalized = str(identifier_path.resolve().relative_to(SKILLS_DIR.resolve()))
except Exception:
normalized = raw_identifier
else:
normalized = raw_identifier.lstrip("/")
loaded_skill = json.loads(skill_view(normalized, task_id=task_id))
except Exception:
return None
if not loaded_skill.get("success"):
return None
skill_name = str(loaded_skill.get("name") or normalized)
skill_path = str(loaded_skill.get("path") or "")
skill_dir = None
if skill_path:
try:
skill_dir = SKILLS_DIR / Path(skill_path).parent
except Exception:
skill_dir = None
return loaded_skill, skill_dir, skill_name
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
activation_note: str,
user_instruction: str = "",
) -> str:
"""Format a loaded skill into a user/system message payload."""
from tools.skills_tool import SKILLS_DIR
content = str(loaded_skill.get("content") or "")
parts = [activation_note, "", content.strip()]
if loaded_skill.get("setup_skipped"):
parts.extend(
[
"",
"[Skill setup note: Required environment setup was skipped. Continue loading the skill and explain any reduced functionality if it matters.]",
]
)
elif loaded_skill.get("gateway_setup_hint"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['gateway_setup_hint']}]",
]
)
elif loaded_skill.get("setup_needed") and loaded_skill.get("setup_note"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['setup_note']}]",
]
)
supporting = []
linked_files = loaded_skill.get("linked_files") or {}
for entries in linked_files.values():
if isinstance(entries, list):
supporting.extend(entries)
if not supporting and skill_dir:
for subdir in ("references", "templates", "scripts", "assets"):
subdir_path = skill_dir / subdir
if subdir_path.exists():
for f in sorted(subdir_path.rglob("*")):
if f.is_file():
rel = str(f.relative_to(skill_dir))
supporting.append(rel)
if supporting and skill_dir:
skill_view_target = str(skill_dir.relative_to(SKILLS_DIR))
parts.append("")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
parts.append(f"- {sf}")
parts.append(
f'\nTo view any of these, use: skill_view(name="{skill_view_target}", file_path="<path>")'
)
if user_instruction:
parts.append("")
parts.append(f"The user has provided the following instruction alongside the skill invocation: {user_instruction}")
return "\n".join(parts)
def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
"""Scan ~/.hermes/skills/ and return a mapping of /command -> skill info.
@ -83,77 +187,60 @@ def build_skill_invocation_message(
if not skill_info:
return None
skill_name = skill_info["name"]
skill_path = skill_info["skill_dir"]
loaded = _load_skill_payload(skill_info["skill_dir"], task_id=task_id)
if not loaded:
return f"[Failed to load skill: {skill_info['name']}]"
try:
from tools.skills_tool import SKILLS_DIR, skill_view
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want '
"you to follow its instructions. The full skill content is loaded below.]"
)
return _build_skill_message(
loaded_skill,
skill_dir,
activation_note,
user_instruction=user_instruction,
)
loaded_skill = json.loads(skill_view(skill_path, task_id=task_id))
except Exception:
return f"[Failed to load skill: {skill_name}]"
if not loaded_skill.get("success"):
return f"[Failed to load skill: {skill_name}]"
def build_preloaded_skills_prompt(
skill_identifiers: list[str],
task_id: str | None = None,
) -> tuple[str, list[str], list[str]]:
"""Load one or more skills for session-wide CLI preloading.
content = str(loaded_skill.get("content") or "")
skill_dir = Path(skill_info["skill_dir"])
Returns (prompt_text, loaded_skill_names, missing_identifiers).
"""
prompt_parts: list[str] = []
loaded_names: list[str] = []
missing: list[str] = []
parts = [
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
"",
content.strip(),
]
seen: set[str] = set()
for raw_identifier in skill_identifiers:
identifier = (raw_identifier or "").strip()
if not identifier or identifier in seen:
continue
seen.add(identifier)
if loaded_skill.get("setup_skipped"):
parts.extend(
[
"",
"[Skill setup note: Required environment setup was skipped. Continue loading the skill and explain any reduced functionality if it matters.]",
]
loaded = _load_skill_payload(identifier, task_id=task_id)
if not loaded:
missing.append(identifier)
continue
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user launched this CLI session with the "{skill_name}" skill '
"preloaded. Treat its instructions as active guidance for the duration of this "
"session unless the user overrides them.]"
)
elif loaded_skill.get("gateway_setup_hint"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['gateway_setup_hint']}]",
]
)
elif loaded_skill.get("setup_needed") and loaded_skill.get("setup_note"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['setup_note']}]",
]
prompt_parts.append(
_build_skill_message(
loaded_skill,
skill_dir,
activation_note,
)
)
loaded_names.append(skill_name)
supporting = []
linked_files = loaded_skill.get("linked_files") or {}
for entries in linked_files.values():
if isinstance(entries, list):
supporting.extend(entries)
if not supporting:
for subdir in ("references", "templates", "scripts", "assets"):
subdir_path = skill_dir / subdir
if subdir_path.exists():
for f in sorted(subdir_path.rglob("*")):
if f.is_file():
rel = str(f.relative_to(skill_dir))
supporting.append(rel)
if supporting:
skill_view_target = str(Path(skill_path).relative_to(SKILLS_DIR))
parts.append("")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
parts.append(f"- {sf}")
parts.append(
f'\nTo view any of these, use: skill_view(name="{skill_view_target}", file_path="<path>")'
)
if user_instruction:
parts.append("")
parts.append(f"The user has provided the following instruction alongside the skill invocation: {user_instruction}")
return "\n".join(parts)
return "\n\n".join(prompt_parts), loaded_names, missing

View file

@ -456,7 +456,7 @@ platform_toolsets:
# moa - mixture_of_agents (requires OPENROUTER_API_KEY)
# todo - todo (in-memory task planning, no deps)
# tts - text_to_speech (Edge TTS free, or ELEVENLABS/OPENAI key)
# cronjob - schedule_cronjob, list_cronjobs, remove_cronjob
# cronjob - cronjob (create/list/update/pause/resume/run/remove scheduled tasks)
# rl - rl_list_environments, rl_start_training, etc. (requires TINKER_API_KEY)
#
# PRESETS (curated bundles):

375
cli.py
View file

@ -8,6 +8,7 @@ Features ASCII art branding, interactive REPL, toolset selection, and rich forma
Usage:
python cli.py # Start interactive mode with all tools
python cli.py --toolsets web,terminal # Start with specific toolsets
python cli.py --skills hermes-agent-dev,github-auth
python cli.py -q "your question" # Single query mode
python cli.py --list-tools # List available tools and exit
"""
@ -428,8 +429,8 @@ from hermes_cli.commands import COMMANDS, SlashCommandCompleter
from hermes_cli import callbacks as _callbacks
from toolsets import get_all_toolsets, get_toolset_info, resolve_toolset, validate_toolset
# Cron job system for scheduled tasks (CRUD only — execution is handled by the gateway)
from cron import create_job, list_jobs, remove_job, get_job
# Cron job system for scheduled tasks (execution is handled by the gateway)
from cron import get_job
# Resource cleanup imports for safe shutdown (terminal VMs, browser sessions)
from tools.terminal_tool import cleanup_all_environments as _cleanup_all_terminals
@ -1043,11 +1044,40 @@ def build_welcome_banner(console: Console, model: str, cwd: str, tools: List[dic
# Skill Slash Commands — dynamic commands generated from installed skills
# ============================================================================
from agent.skill_commands import scan_skill_commands, get_skill_commands, build_skill_invocation_message
from agent.skill_commands import (
scan_skill_commands,
get_skill_commands,
build_skill_invocation_message,
build_preloaded_skills_prompt,
)
_skill_commands = scan_skill_commands()
def _parse_skills_argument(skills: str | list[str] | tuple[str, ...] | None) -> list[str]:
"""Normalize a CLI skills flag into a deduplicated list of skill identifiers."""
if not skills:
return []
if isinstance(skills, str):
raw_values = [skills]
elif isinstance(skills, (list, tuple)):
raw_values = [str(item) for item in skills if item is not None]
else:
raw_values = [str(skills)]
parsed: list[str] = []
seen: set[str] = set()
for raw in raw_values:
for part in raw.split(","):
normalized = part.strip()
if not normalized or normalized in seen:
continue
seen.add(normalized)
parsed.append(normalized)
return parsed
def save_config_value(key_path: str, value: any) -> bool:
"""
Save a value to the active config file at the specified key path.
@ -1313,6 +1343,8 @@ class HermesCLI:
self._command_status = ""
self._attached_images: list[Path] = []
self._image_counter = 0
self.preloaded_skills: list[str] = []
self._startup_skills_line_shown = False
# Voice mode state (also reinitialized inside run() for interactive TUI).
self._voice_lock = threading.Lock()
@ -1599,6 +1631,13 @@ class HermesCLI:
def show_banner(self):
"""Display the welcome banner in Claude Code style."""
self.console.clear()
if self.preloaded_skills and not self._startup_skills_line_shown:
skills_label = ", ".join(self.preloaded_skills)
self.console.print(
f"[bold {_accent_hex()}]Activated skills:[/] {skills_label}"
)
self.console.print()
self._startup_skills_line_shown = True
# Auto-compact for narrow terminals — the full banner with caduceus
# + tool list needs ~80 columns minimum to render without wrapping.
@ -2588,139 +2627,248 @@ class HermesCLI:
def _handle_cron_command(self, cmd: str):
"""Handle the /cron command to manage scheduled tasks."""
parts = cmd.split(maxsplit=2)
if len(parts) == 1:
# /cron - show help and list
import shlex
from tools.cronjob_tools import cronjob as cronjob_tool
def _cron_api(**kwargs):
return json.loads(cronjob_tool(**kwargs))
def _normalize_skills(values):
normalized = []
for value in values:
text = str(value or "").strip()
if text and text not in normalized:
normalized.append(text)
return normalized
def _parse_flags(tokens):
opts = {
"name": None,
"deliver": None,
"repeat": None,
"skills": [],
"add_skills": [],
"remove_skills": [],
"clear_skills": False,
"all": False,
"prompt": None,
"schedule": None,
"positionals": [],
}
i = 0
while i < len(tokens):
token = tokens[i]
if token == "--name" and i + 1 < len(tokens):
opts["name"] = tokens[i + 1]
i += 2
elif token == "--deliver" and i + 1 < len(tokens):
opts["deliver"] = tokens[i + 1]
i += 2
elif token == "--repeat" and i + 1 < len(tokens):
try:
opts["repeat"] = int(tokens[i + 1])
except ValueError:
print("(._.) --repeat must be an integer")
return None
i += 2
elif token == "--skill" and i + 1 < len(tokens):
opts["skills"].append(tokens[i + 1])
i += 2
elif token == "--add-skill" and i + 1 < len(tokens):
opts["add_skills"].append(tokens[i + 1])
i += 2
elif token == "--remove-skill" and i + 1 < len(tokens):
opts["remove_skills"].append(tokens[i + 1])
i += 2
elif token == "--clear-skills":
opts["clear_skills"] = True
i += 1
elif token == "--all":
opts["all"] = True
i += 1
elif token == "--prompt" and i + 1 < len(tokens):
opts["prompt"] = tokens[i + 1]
i += 2
elif token == "--schedule" and i + 1 < len(tokens):
opts["schedule"] = tokens[i + 1]
i += 2
else:
opts["positionals"].append(token)
i += 1
return opts
tokens = shlex.split(cmd)
if len(tokens) == 1:
print()
print("+" + "-" * 60 + "+")
print("|" + " " * 18 + "(^_^) Scheduled Tasks" + " " * 19 + "|")
print("+" + "-" * 60 + "+")
print("+" + "-" * 68 + "+")
print("|" + " " * 22 + "(^_^) Scheduled Tasks" + " " * 23 + "|")
print("+" + "-" * 68 + "+")
print()
print(" Commands:")
print(" /cron - List scheduled jobs")
print(" /cron list - List scheduled jobs")
print(' /cron add <schedule> <prompt> - Add a new job')
print(" /cron remove <job_id> - Remove a job")
print(" /cron list")
print(' /cron add "every 2h" "Check server status" [--skill blogwatcher]')
print(' /cron edit <job_id> --schedule "every 4h" --prompt "New task"')
print(" /cron edit <job_id> --skill blogwatcher --skill find-nearby")
print(" /cron edit <job_id> --remove-skill blogwatcher")
print(" /cron edit <job_id> --clear-skills")
print(" /cron pause <job_id>")
print(" /cron resume <job_id>")
print(" /cron run <job_id>")
print(" /cron remove <job_id>")
print()
print(" Schedule formats:")
print(" 30m, 2h, 1d - One-shot delay")
print(' "every 30m", "every 2h" - Recurring interval')
print(' "0 9 * * *" - Cron expression')
print()
# Show current jobs
jobs = list_jobs()
result = _cron_api(action="list")
jobs = result.get("jobs", []) if result.get("success") else []
if jobs:
print(" Current Jobs:")
print(" " + "-" * 55)
print(" " + "-" * 63)
for job in jobs:
# Format repeat status
times = job["repeat"].get("times")
completed = job["repeat"].get("completed", 0)
if times is None:
repeat_str = "forever"
else:
repeat_str = f"{completed}/{times}"
print(f" {job['id'][:12]:<12} | {job['schedule_display']:<15} | {repeat_str:<8}")
prompt_preview = job['prompt'][:45] + "..." if len(job['prompt']) > 45 else job['prompt']
print(f" {prompt_preview}")
repeat_str = job.get("repeat", "?")
print(f" {job['job_id'][:12]:<12} | {job['schedule']:<15} | {repeat_str:<8}")
if job.get("skills"):
print(f" Skills: {', '.join(job['skills'])}")
print(f" {job.get('prompt_preview', '')}")
if job.get("next_run_at"):
from datetime import datetime
next_run = datetime.fromisoformat(job["next_run_at"])
print(f" Next: {next_run.strftime('%Y-%m-%d %H:%M')}")
print(f" Next: {job['next_run_at']}")
print()
else:
print(" No scheduled jobs. Use '/cron add' to create one.")
print()
return
subcommand = parts[1].lower()
subcommand = tokens[1].lower()
opts = _parse_flags(tokens[2:])
if opts is None:
return
if subcommand == "list":
# /cron list - just show jobs
jobs = list_jobs()
result = _cron_api(action="list", include_disabled=opts["all"])
jobs = result.get("jobs", []) if result.get("success") else []
if not jobs:
print("(._.) No scheduled jobs.")
return
print()
print("Scheduled Jobs:")
print("-" * 70)
print("-" * 80)
for job in jobs:
times = job["repeat"].get("times")
completed = job["repeat"].get("completed", 0)
repeat_str = "forever" if times is None else f"{completed}/{times}"
print(f" ID: {job['id']}")
print(f" ID: {job['job_id']}")
print(f" Name: {job['name']}")
print(f" Schedule: {job['schedule_display']} ({repeat_str})")
print(f" State: {job.get('state', '?')}")
print(f" Schedule: {job['schedule']} ({job.get('repeat', '?')})")
print(f" Next run: {job.get('next_run_at', 'N/A')}")
print(f" Prompt: {job['prompt'][:80]}{'...' if len(job['prompt']) > 80 else ''}")
if job.get("skills"):
print(f" Skills: {', '.join(job['skills'])}")
print(f" Prompt: {job.get('prompt_preview', '')}")
if job.get("last_run_at"):
print(f" Last run: {job['last_run_at']} ({job.get('last_status', '?')})")
print()
elif subcommand == "add":
# /cron add <schedule> <prompt>
if len(parts) < 3:
return
if subcommand in {"add", "create"}:
positionals = opts["positionals"]
if not positionals:
print("(._.) Usage: /cron add <schedule> <prompt>")
print(" Example: /cron add 30m Remind me to take a break")
print(' Example: /cron add "every 2h" Check server status at 192.168.1.1')
return
# Parse schedule and prompt
rest = parts[2].strip()
# Handle quoted schedule (e.g., "every 30m" or "0 9 * * *")
if rest.startswith('"'):
# Find closing quote
close_quote = rest.find('"', 1)
if close_quote == -1:
print("(._.) Unmatched quote in schedule")
return
schedule = rest[1:close_quote]
prompt = rest[close_quote + 1:].strip()
schedule = opts["schedule"] or positionals[0]
prompt = opts["prompt"] or " ".join(positionals[1:])
skills = _normalize_skills(opts["skills"])
if not prompt and not skills:
print("(._.) Please provide a prompt or at least one skill")
return
result = _cron_api(
action="create",
schedule=schedule,
prompt=prompt or None,
name=opts["name"],
deliver=opts["deliver"],
repeat=opts["repeat"],
skills=skills or None,
)
if result.get("success"):
print(f"(^_^)b Created job: {result['job_id']}")
print(f" Schedule: {result['schedule']}")
if result.get("skills"):
print(f" Skills: {', '.join(result['skills'])}")
print(f" Next run: {result['next_run_at']}")
else:
# First word is schedule
schedule_parts = rest.split(maxsplit=1)
schedule = schedule_parts[0]
prompt = schedule_parts[1] if len(schedule_parts) > 1 else ""
if not prompt:
print("(._.) Please provide a prompt for the job")
print(f"(x_x) Failed to create job: {result.get('error')}")
return
if subcommand == "edit":
positionals = opts["positionals"]
if not positionals:
print("(._.) Usage: /cron edit <job_id> [--schedule ...] [--prompt ...] [--skill ...]")
return
try:
job = create_job(prompt=prompt, schedule=schedule)
print(f"(^_^)b Created job: {job['id']}")
print(f" Schedule: {job['schedule_display']}")
print(f" Next run: {job['next_run_at']}")
except Exception as e:
print(f"(x_x) Failed to create job: {e}")
elif subcommand == "remove" or subcommand == "rm" or subcommand == "delete":
# /cron remove <job_id>
if len(parts) < 3:
print("(._.) Usage: /cron remove <job_id>")
return
job_id = parts[2].strip()
job = get_job(job_id)
if not job:
job_id = positionals[0]
existing = get_job(job_id)
if not existing:
print(f"(._.) Job not found: {job_id}")
return
if remove_job(job_id):
print(f"(^_^)b Removed job: {job['name']} ({job_id})")
final_skills = None
replacement_skills = _normalize_skills(opts["skills"])
add_skills = _normalize_skills(opts["add_skills"])
remove_skills = set(_normalize_skills(opts["remove_skills"]))
existing_skills = list(existing.get("skills") or ([] if not existing.get("skill") else [existing.get("skill")]))
if opts["clear_skills"]:
final_skills = []
elif replacement_skills:
final_skills = replacement_skills
elif add_skills or remove_skills:
final_skills = [skill for skill in existing_skills if skill not in remove_skills]
for skill in add_skills:
if skill not in final_skills:
final_skills.append(skill)
result = _cron_api(
action="update",
job_id=job_id,
schedule=opts["schedule"],
prompt=opts["prompt"],
name=opts["name"],
deliver=opts["deliver"],
repeat=opts["repeat"],
skills=final_skills,
)
if result.get("success"):
job = result["job"]
print(f"(^_^)b Updated job: {job['job_id']}")
print(f" Schedule: {job['schedule']}")
if job.get("skills"):
print(f" Skills: {', '.join(job['skills'])}")
else:
print(" Skills: none")
else:
print(f"(x_x) Failed to remove job: {job_id}")
else:
print(f"(._.) Unknown cron command: {subcommand}")
print(" Available: list, add, remove")
print(f"(x_x) Failed to update job: {result.get('error')}")
return
if subcommand in {"pause", "resume", "run", "remove", "rm", "delete"}:
positionals = opts["positionals"]
if not positionals:
print(f"(._.) Usage: /cron {subcommand} <job_id>")
return
job_id = positionals[0]
action = "remove" if subcommand in {"remove", "rm", "delete"} else subcommand
result = _cron_api(action=action, job_id=job_id, reason="paused from /cron" if action == "pause" else None)
if not result.get("success"):
print(f"(x_x) Failed to {action} job: {result.get('error')}")
return
if action == "pause":
print(f"(^_^)b Paused job: {result['job']['name']} ({job_id})")
elif action == "resume":
print(f"(^_^)b Resumed job: {result['job']['name']} ({job_id})")
print(f" Next run: {result['job'].get('next_run_at')}")
elif action == "run":
print(f"(^_^)b Triggered job: {result['job']['name']} ({job_id})")
print(" It will run on the next scheduler tick.")
else:
removed = result.get("removed_job", {})
print(f"(^_^)b Removed job: {removed.get('name', job_id)} ({job_id})")
return
print(f"(._.) Unknown cron command: {subcommand}")
print(" Available: list, add, edit, pause, resume, run, remove")
def _handle_skills_command(self, cmd: str):
"""Handle /skills slash command — delegates to hermes_cli.skills_hub."""
@ -5829,6 +5977,7 @@ def main(
query: str = None,
q: str = None,
toolsets: str = None,
skills: str | list[str] | tuple[str, ...] = None,
model: str = None,
provider: str = None,
api_key: str = None,
@ -5853,6 +6002,7 @@ def main(
query: Single query to execute (then exit). Alias: -q
q: Shorthand for --query
toolsets: Comma-separated list of toolsets to enable (e.g., "web,terminal")
skills: Comma-separated or repeated list of skills to preload for the session
model: Model to use (default: anthropic/claude-opus-4-20250514)
provider: Inference provider ("auto", "openrouter", "nous", "openai-codex", "zai", "kimi-coding", "minimax", "minimax-cn")
api_key: API key for authentication
@ -5869,6 +6019,7 @@ def main(
Examples:
python cli.py # Start interactive mode
python cli.py --toolsets web,terminal # Use specific toolsets
python cli.py --skills hermes-agent-dev,github-auth
python cli.py -q "What is Python?" # Single query mode
python cli.py --list-tools # List tools and exit
python cli.py --resume 20260225_143052_a1b2c3 # Resume session
@ -5938,6 +6089,8 @@ def main(
else:
toolsets_list = ["hermes-cli"]
parsed_skills = _parse_skills_argument(skills)
# Create CLI instance
cli = HermesCLI(
model=model,
@ -5953,6 +6106,20 @@ def main(
pass_session_id=pass_session_id,
)
if parsed_skills:
skills_prompt, loaded_skills, missing_skills = build_preloaded_skills_prompt(
parsed_skills,
task_id=cli.session_id,
)
if missing_skills:
missing_display = ", ".join(missing_skills)
raise ValueError(f"Unknown skill(s): {missing_display}")
if skills_prompt:
cli.system_prompt = "\n\n".join(
part for part in (cli.system_prompt, skills_prompt) if part
).strip()
cli.preloaded_skills = loaded_skills
# Inject worktree context into agent's system prompt
if wt_info:
wt_note = (

View file

@ -20,6 +20,9 @@ from cron.jobs import (
list_jobs,
remove_job,
update_job,
pause_job,
resume_job,
trigger_job,
JOBS_FILE,
)
from cron.scheduler import tick
@ -30,6 +33,9 @@ __all__ = [
"list_jobs",
"remove_job",
"update_job",
"pause_job",
"resume_job",
"trigger_job",
"tick",
"JOBS_FILE",
]

View file

@ -32,6 +32,32 @@ JOBS_FILE = CRON_DIR / "jobs.json"
OUTPUT_DIR = CRON_DIR / "output"
def _normalize_skill_list(skill: Optional[str] = None, skills: Optional[Any] = None) -> List[str]:
"""Normalize legacy/single-skill and multi-skill inputs into a unique ordered list."""
if skills is None:
raw_items = [skill] if skill else []
elif isinstance(skills, str):
raw_items = [skills]
else:
raw_items = list(skills)
normalized: List[str] = []
for item in raw_items:
text = str(item or "").strip()
if text and text not in normalized:
normalized.append(text)
return normalized
def _apply_skill_fields(job: Dict[str, Any]) -> Dict[str, Any]:
"""Return a job dict with canonical `skills` and legacy `skill` fields aligned."""
normalized = dict(job)
skills = _normalize_skill_list(normalized.get("skill"), normalized.get("skills"))
normalized["skills"] = skills
normalized["skill"] = skills[0] if skills else None
return normalized
def _secure_dir(path: Path):
"""Set directory to owner-only access (0700). No-op on Windows."""
try:
@ -263,39 +289,47 @@ def create_job(
name: Optional[str] = None,
repeat: Optional[int] = None,
deliver: Optional[str] = None,
origin: Optional[Dict[str, Any]] = None
origin: Optional[Dict[str, Any]] = None,
skill: Optional[str] = None,
skills: Optional[List[str]] = None,
) -> Dict[str, Any]:
"""
Create a new cron job.
Args:
prompt: The prompt to run (must be self-contained)
prompt: The prompt to run (must be self-contained, or a task instruction when skill is set)
schedule: Schedule string (see parse_schedule)
name: Optional friendly name
repeat: How many times to run (None = forever, 1 = once)
deliver: Where to deliver output ("origin", "local", "telegram", etc.)
origin: Source info where job was created (for "origin" delivery)
skill: Optional legacy single skill name to load before running the prompt
skills: Optional ordered list of skills to load before running the prompt
Returns:
The created job dict
"""
parsed_schedule = parse_schedule(schedule)
# Auto-set repeat=1 for one-shot schedules if not specified
if parsed_schedule["kind"] == "once" and repeat is None:
repeat = 1
# Default delivery to origin if available, otherwise local
if deliver is None:
deliver = "origin" if origin else "local"
job_id = uuid.uuid4().hex[:12]
now = _hermes_now().isoformat()
normalized_skills = _normalize_skill_list(skill, skills)
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
"id": job_id,
"name": name or prompt[:50].strip(),
"name": name or label_source[:50].strip(),
"prompt": prompt,
"skills": normalized_skills,
"skill": normalized_skills[0] if normalized_skills else None,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule),
"repeat": {
@ -303,6 +337,9 @@ def create_job(
"completed": 0
},
"enabled": True,
"state": "scheduled",
"paused_at": None,
"paused_reason": None,
"created_at": now,
"next_run_at": compute_next_run(parsed_schedule),
"last_run_at": None,
@ -312,11 +349,11 @@ def create_job(
"deliver": deliver,
"origin": origin, # Tracks where job was created for "origin" delivery
}
jobs = load_jobs()
jobs.append(job)
save_jobs(jobs)
return job
@ -325,29 +362,100 @@ def get_job(job_id: str) -> Optional[Dict[str, Any]]:
jobs = load_jobs()
for job in jobs:
if job["id"] == job_id:
return job
return _apply_skill_fields(job)
return None
def list_jobs(include_disabled: bool = False) -> List[Dict[str, Any]]:
"""List all jobs, optionally including disabled ones."""
jobs = load_jobs()
jobs = [_apply_skill_fields(j) for j in load_jobs()]
if not include_disabled:
jobs = [j for j in jobs if j.get("enabled", True)]
return jobs
def update_job(job_id: str, updates: Dict[str, Any]) -> Optional[Dict[str, Any]]:
"""Update a job by ID."""
"""Update a job by ID, refreshing derived schedule fields when needed."""
jobs = load_jobs()
for i, job in enumerate(jobs):
if job["id"] == job_id:
jobs[i] = {**job, **updates}
save_jobs(jobs)
return jobs[i]
if job["id"] != job_id:
continue
updated = _apply_skill_fields({**job, **updates})
schedule_changed = "schedule" in updates
if "skills" in updates or "skill" in updates:
normalized_skills = _normalize_skill_list(updated.get("skill"), updated.get("skills"))
updated["skills"] = normalized_skills
updated["skill"] = normalized_skills[0] if normalized_skills else None
if schedule_changed:
updated_schedule = updated["schedule"]
updated["schedule_display"] = updates.get(
"schedule_display",
updated_schedule.get("display", updated.get("schedule_display")),
)
if updated.get("state") != "paused":
updated["next_run_at"] = compute_next_run(updated_schedule)
if updated.get("enabled", True) and updated.get("state") != "paused" and not updated.get("next_run_at"):
updated["next_run_at"] = compute_next_run(updated["schedule"])
jobs[i] = updated
save_jobs(jobs)
return _apply_skill_fields(jobs[i])
return None
def pause_job(job_id: str, reason: Optional[str] = None) -> Optional[Dict[str, Any]]:
"""Pause a job without deleting it."""
return update_job(
job_id,
{
"enabled": False,
"state": "paused",
"paused_at": _hermes_now().isoformat(),
"paused_reason": reason,
},
)
def resume_job(job_id: str) -> Optional[Dict[str, Any]]:
"""Resume a paused job and compute the next future run from now."""
job = get_job(job_id)
if not job:
return None
next_run_at = compute_next_run(job["schedule"])
return update_job(
job_id,
{
"enabled": True,
"state": "scheduled",
"paused_at": None,
"paused_reason": None,
"next_run_at": next_run_at,
},
)
def trigger_job(job_id: str) -> Optional[Dict[str, Any]]:
"""Schedule a job to run on the next scheduler tick."""
job = get_job(job_id)
if not job:
return None
return update_job(
job_id,
{
"enabled": True,
"state": "scheduled",
"paused_at": None,
"paused_reason": None,
"next_run_at": _hermes_now().isoformat(),
},
)
def remove_job(job_id: str) -> bool:
"""Remove a job by ID."""
jobs = load_jobs()
@ -389,11 +497,14 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
save_jobs(jobs)
return
@ -403,21 +514,21 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
def get_due_jobs() -> List[Dict[str, Any]]:
"""Get all jobs that are due to run now."""
now = _hermes_now()
jobs = load_jobs()
jobs = [_apply_skill_fields(j) for j in load_jobs()]
due = []
for job in jobs:
if not job.get("enabled", True):
continue
next_run = job.get("next_run_at")
if not next_run:
continue
next_run_dt = _ensure_aware(datetime.fromisoformat(next_run))
if next_run_dt <= now:
due.append(job)
return due

View file

@ -9,6 +9,7 @@ runs at a time if multiple processes overlap.
"""
import asyncio
import json
import logging
import os
import sys
@ -174,6 +175,43 @@ def _deliver_result(job: dict, content: str) -> None:
logger.warning("Job '%s': mirror_to_session failed: %s", job["id"], e)
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
skills = job.get("skills")
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
skill_names = [str(name).strip() for name in skills if str(name).strip()]
if not skill_names:
return prompt
from tools.skills_tool import skill_view
parts = []
for skill_name in skill_names:
loaded = json.loads(skill_view(skill_name))
if not loaded.get("success"):
error = loaded.get("error") or f"Failed to load skill '{skill_name}'"
raise RuntimeError(error)
content = str(loaded.get("content") or "").strip()
if parts:
parts.append("")
parts.extend(
[
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
"",
content,
]
)
if prompt:
parts.extend(["", f"The user has provided the following instruction alongside the skill invocation: {prompt}"])
return "\n".join(parts)
def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
"""
Execute a single cron job.
@ -194,9 +232,9 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
job_id = job["id"]
job_name = job["name"]
prompt = job["prompt"]
prompt = _build_job_prompt(job)
origin = _resolve_origin(job)
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
@ -302,6 +340,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
providers_ignored=pr.get("ignore"),
providers_order=pr.get("order"),
provider_sort=pr.get("sort"),
disabled_toolsets=["cronjob"],
quiet_mode=True,
platform="cron",
session_id=f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}",

View file

@ -315,7 +315,7 @@ def build_delivery_context_for_tool(
origin: Optional[SessionSource] = None
) -> Dict[str, Any]:
"""
Build context for the schedule_cronjob tool to understand delivery options.
Build context for the unified cronjob tool to understand delivery options.
This is passed to the tool so it can validate and explain delivery targets.
"""

View file

@ -173,7 +173,7 @@ platform_map = {
}
```
Without this, `schedule_cronjob(deliver="your_platform")` silently fails.
Without this, `cronjob(action="create", deliver="your_platform", ...)` silently fails.
---

View file

@ -3794,9 +3794,7 @@ class GatewayRunner:
"memory": "🧠",
"session_search": "🔍",
"send_message": "📨",
"schedule_cronjob": "",
"list_cronjobs": "",
"remove_cronjob": "",
"cronjob": "",
"execute_code": "🐍",
"delegate_task": "🔀",
"clarify": "",

View file

@ -43,7 +43,7 @@ COMMANDS_BY_CATEGORY = {
"/tools": "List available tools",
"/toolsets": "List available toolsets",
"/skills": "Search, install, inspect, or manage skills from online registries",
"/cron": "Manage scheduled tasks (list, add, remove)",
"/cron": "Manage scheduled tasks (list, add/create, edit, pause, resume, run, remove)",
"/reload-mcp": "Reload MCP servers from config.yaml",
},
"Info": {

View file

@ -1092,6 +1092,13 @@ def save_anthropic_oauth_token(value: str, save_fn=None):
writer("ANTHROPIC_API_KEY", "")
def use_anthropic_claude_code_credentials(save_fn=None):
"""Use Claude Code's own credential files instead of persisting env tokens."""
writer = save_fn or save_env_value
writer("ANTHROPIC_TOKEN", "")
writer("ANTHROPIC_API_KEY", "")
def save_anthropic_api_key(value: str, save_fn=None):
"""Persist an Anthropic API key and clear the OAuth/setup-token slot."""
writer = save_fn or save_env_value

View file

@ -1,15 +1,14 @@
"""
Cron subcommand for hermes CLI.
Handles: hermes cron [list|status|tick]
Cronjobs are executed automatically by the gateway daemon (hermes gateway).
Install the gateway as a service for background execution:
hermes gateway install
Handles standalone cron management commands like list, create, edit,
pause/resume/run/remove, status, and tick.
"""
import json
import sys
from pathlib import Path
from typing import Iterable, List, Optional
PROJECT_ROOT = Path(__file__).parent.parent.resolve()
sys.path.insert(0, str(PROJECT_ROOT))
@ -17,58 +16,82 @@ sys.path.insert(0, str(PROJECT_ROOT))
from hermes_cli.colors import Colors, color
def _normalize_skills(single_skill=None, skills: Optional[Iterable[str]] = None) -> Optional[List[str]]:
if skills is None:
if single_skill is None:
return None
raw_items = [single_skill]
else:
raw_items = list(skills)
normalized: List[str] = []
for item in raw_items:
text = str(item or "").strip()
if text and text not in normalized:
normalized.append(text)
return normalized
def _cron_api(**kwargs):
from tools.cronjob_tools import cronjob as cronjob_tool
return json.loads(cronjob_tool(**kwargs))
def cron_list(show_all: bool = False):
"""List all scheduled jobs."""
from cron.jobs import list_jobs
jobs = list_jobs(include_disabled=show_all)
if not jobs:
print(color("No scheduled jobs.", Colors.DIM))
print(color("Create one with the /cron add command in chat, or via Telegram.", Colors.DIM))
print(color("Create one with 'hermes cron create ...' or the /cron command in chat.", Colors.DIM))
return
print()
print(color("┌─────────────────────────────────────────────────────────────────────────┐", Colors.CYAN))
print(color("│ Scheduled Jobs │", Colors.CYAN))
print(color("└─────────────────────────────────────────────────────────────────────────┘", Colors.CYAN))
print()
for job in jobs:
job_id = job.get("id", "?")[:8]
name = job.get("name", "(unnamed)")
schedule = job.get("schedule_display", job.get("schedule", {}).get("value", "?"))
enabled = job.get("enabled", True)
state = job.get("state", "scheduled" if job.get("enabled", True) else "paused")
next_run = job.get("next_run_at", "?")
repeat_info = job.get("repeat", {})
repeat_times = repeat_info.get("times")
repeat_completed = repeat_info.get("completed", 0)
if repeat_times:
repeat_str = f"{repeat_completed}/{repeat_times}"
else:
repeat_str = ""
repeat_str = f"{repeat_completed}/{repeat_times}" if repeat_times else ""
deliver = job.get("deliver", ["local"])
if isinstance(deliver, str):
deliver = [deliver]
deliver_str = ", ".join(deliver)
if not enabled:
status = color("[disabled]", Colors.RED)
else:
skills = job.get("skills") or ([job["skill"]] if job.get("skill") else [])
if state == "paused":
status = color("[paused]", Colors.YELLOW)
elif state == "completed":
status = color("[completed]", Colors.BLUE)
elif job.get("enabled", True):
status = color("[active]", Colors.GREEN)
else:
status = color("[disabled]", Colors.RED)
print(f" {color(job_id, Colors.YELLOW)} {status}")
print(f" Name: {name}")
print(f" Schedule: {schedule}")
print(f" Repeat: {repeat_str}")
print(f" Next run: {next_run}")
print(f" Deliver: {deliver_str}")
if skills:
print(f" Skills: {', '.join(skills)}")
print()
# Warn if gateway isn't running
from hermes_cli.gateway import find_gateway_pids
if not find_gateway_pids():
print(color(" ⚠ Gateway is not running — jobs won't fire automatically.", Colors.YELLOW))
@ -86,9 +109,9 @@ def cron_status():
"""Show cron execution status."""
from cron.jobs import list_jobs
from hermes_cli.gateway import find_gateway_pids
print()
pids = find_gateway_pids()
if pids:
print(color("✓ Gateway is running — cron jobs will fire automatically", Colors.GREEN))
@ -99,9 +122,9 @@ def cron_status():
print(" To enable automatic execution:")
print(" hermes gateway install # Install as system service (recommended)")
print(" hermes gateway # Or run in foreground")
print()
jobs = list_jobs(include_disabled=False)
if jobs:
next_runs = [j.get("next_run_at") for j in jobs if j.get("next_run_at")]
@ -110,25 +133,131 @@ def cron_status():
print(f" Next run: {min(next_runs)}")
else:
print(" No active jobs")
print()
def cron_create(args):
result = _cron_api(
action="create",
schedule=args.schedule,
prompt=args.prompt,
name=getattr(args, "name", None),
deliver=getattr(args, "deliver", None),
repeat=getattr(args, "repeat", None),
skill=getattr(args, "skill", None),
skills=_normalize_skills(getattr(args, "skill", None), getattr(args, "skills", None)),
)
if not result.get("success"):
print(color(f"Failed to create job: {result.get('error', 'unknown error')}", Colors.RED))
return 1
print(color(f"Created job: {result['job_id']}", Colors.GREEN))
print(f" Name: {result['name']}")
print(f" Schedule: {result['schedule']}")
if result.get("skills"):
print(f" Skills: {', '.join(result['skills'])}")
print(f" Next run: {result['next_run_at']}")
return 0
def cron_edit(args):
from cron.jobs import get_job
job = get_job(args.job_id)
if not job:
print(color(f"Job not found: {args.job_id}", Colors.RED))
return 1
existing_skills = list(job.get("skills") or ([] if not job.get("skill") else [job.get("skill")]))
replacement_skills = _normalize_skills(getattr(args, "skill", None), getattr(args, "skills", None))
add_skills = _normalize_skills(None, getattr(args, "add_skills", None)) or []
remove_skills = set(_normalize_skills(None, getattr(args, "remove_skills", None)) or [])
final_skills = None
if getattr(args, "clear_skills", False):
final_skills = []
elif replacement_skills is not None:
final_skills = replacement_skills
elif add_skills or remove_skills:
final_skills = [skill for skill in existing_skills if skill not in remove_skills]
for skill in add_skills:
if skill not in final_skills:
final_skills.append(skill)
result = _cron_api(
action="update",
job_id=args.job_id,
schedule=getattr(args, "schedule", None),
prompt=getattr(args, "prompt", None),
name=getattr(args, "name", None),
deliver=getattr(args, "deliver", None),
repeat=getattr(args, "repeat", None),
skills=final_skills,
)
if not result.get("success"):
print(color(f"Failed to update job: {result.get('error', 'unknown error')}", Colors.RED))
return 1
updated = result["job"]
print(color(f"Updated job: {updated['job_id']}", Colors.GREEN))
print(f" Name: {updated['name']}")
print(f" Schedule: {updated['schedule']}")
if updated.get("skills"):
print(f" Skills: {', '.join(updated['skills'])}")
else:
print(" Skills: none")
return 0
def _job_action(action: str, job_id: str, success_verb: str) -> int:
result = _cron_api(action=action, job_id=job_id)
if not result.get("success"):
print(color(f"Failed to {action} job: {result.get('error', 'unknown error')}", Colors.RED))
return 1
job = result.get("job") or result.get("removed_job") or {}
print(color(f"{success_verb} job: {job.get('name', job_id)} ({job_id})", Colors.GREEN))
if action in {"resume", "run"} and result.get("job", {}).get("next_run_at"):
print(f" Next run: {result['job']['next_run_at']}")
if action == "run":
print(" It will run on the next scheduler tick.")
return 0
def cron_command(args):
"""Handle cron subcommands."""
subcmd = getattr(args, 'cron_command', None)
if subcmd is None or subcmd == "list":
show_all = getattr(args, 'all', False)
cron_list(show_all)
elif subcmd == "tick":
cron_tick()
elif subcmd == "status":
return 0
if subcmd == "status":
cron_status()
else:
print(f"Unknown cron command: {subcmd}")
print("Usage: hermes cron [list|status|tick]")
sys.exit(1)
return 0
if subcmd == "tick":
cron_tick()
return 0
if subcmd in {"create", "add"}:
return cron_create(args)
if subcmd == "edit":
return cron_edit(args)
if subcmd == "pause":
return _job_action("pause", args.job_id, "Paused")
if subcmd == "resume":
return _job_action("resume", args.job_id, "Resumed")
if subcmd == "run":
return _job_action("run", args.job_id, "Triggered")
if subcmd in {"remove", "rm", "delete"}:
return _job_action("remove", args.job_id, "Removed")
print(f"Unknown cron command: {subcmd}")
print("Usage: hermes cron [list|create|edit|pause|resume|run|remove|status|tick]")
sys.exit(1)

View file

@ -499,6 +499,7 @@ def cmd_chat(args):
"model": args.model,
"provider": getattr(args, "provider", None),
"toolsets": args.toolsets,
"skills": getattr(args, "skills", None),
"verbose": args.verbose,
"quiet": getattr(args, "quiet", False),
"query": args.query,
@ -510,7 +511,11 @@ def cmd_chat(args):
# Filter out None values
kwargs = {k: v for k, v in kwargs.items() if v is not None}
cli_main(**kwargs)
try:
cli_main(**kwargs)
except ValueError as e:
print(f"Error: {e}")
sys.exit(1)
def cmd_gateway(args):
@ -1368,6 +1373,12 @@ _PROVIDER_MODELS = {
"kimi-k2-turbo-preview",
"kimi-k2-0905-preview",
],
"moonshot": [
"kimi-k2.5",
"kimi-k2-thinking",
"kimi-k2-turbo-preview",
"kimi-k2-0905-preview",
],
"minimax": [
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
@ -1449,8 +1460,8 @@ def _model_flow_kimi(config, current_model=""):
"kimi-k2-thinking-turbo",
]
else:
# Legacy Moonshot models
model_list = _PROVIDER_MODELS.get(provider_id, [])
# Legacy Moonshot models (excludes Coding Plan-only models)
model_list = _PROVIDER_MODELS.get("moonshot", [])
if model_list:
selected = _prompt_model_selection(model_list, current_model=current_model)
@ -1586,8 +1597,30 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
def _run_anthropic_oauth_flow(save_env_value):
"""Run the Claude OAuth setup-token flow. Returns True if credentials were saved."""
from agent.anthropic_adapter import run_oauth_setup_token
from hermes_cli.config import save_anthropic_oauth_token
from agent.anthropic_adapter import (
run_oauth_setup_token,
read_claude_code_credentials,
is_claude_code_token_valid,
)
from hermes_cli.config import (
save_anthropic_oauth_token,
use_anthropic_claude_code_credentials,
)
def _activate_claude_code_credentials_if_available() -> bool:
try:
creds = read_claude_code_credentials()
except Exception:
creds = None
if creds and (
is_claude_code_token_valid(creds)
or bool(creds.get("refreshToken"))
):
use_anthropic_claude_code_credentials(save_fn=save_env_value)
print(" ✓ Claude Code credentials linked.")
print(" Hermes will use Claude's credential store directly instead of copying a setup-token into ~/.hermes/.env.")
return True
return False
try:
print()
@ -1596,6 +1629,8 @@ def _run_anthropic_oauth_flow(save_env_value):
print()
token = run_oauth_setup_token()
if token:
if _activate_claude_code_credentials_if_available():
return True
save_anthropic_oauth_token(token, save_fn=save_env_value)
print(" ✓ OAuth credentials saved.")
return True
@ -2276,6 +2311,7 @@ Examples:
hermes config edit Edit config in $EDITOR
hermes config set model gpt-4 Set a config value
hermes gateway Run messaging gateway
hermes -s hermes-agent-dev,github-auth
hermes -w Start in isolated git worktree
hermes gateway install Install as system service
hermes sessions list List past sessions
@ -2314,6 +2350,12 @@ For more help on a command:
default=False,
help="Run in an isolated git worktree (for parallel agents)"
)
parser.add_argument(
"--skills", "-s",
action="append",
default=None,
help="Preload one or more skills for the session (repeat flag or comma-separate)"
)
parser.add_argument(
"--yolo",
action="store_true",
@ -2349,6 +2391,12 @@ For more help on a command:
"-t", "--toolsets",
help="Comma-separated toolsets to enable"
)
chat_parser.add_argument(
"-s", "--skills",
action="append",
default=None,
help="Preload one or more skills for the session (repeat flag or comma-separate)"
)
chat_parser.add_argument(
"--provider",
choices=["auto", "openrouter", "nous", "openai-codex", "anthropic", "zai", "kimi-coding", "minimax", "minimax-cn"],
@ -2597,13 +2645,48 @@ For more help on a command:
# cron list
cron_list = cron_subparsers.add_parser("list", help="List scheduled jobs")
cron_list.add_argument("--all", action="store_true", help="Include disabled jobs")
# cron create/add
cron_create = cron_subparsers.add_parser("create", aliases=["add"], help="Create a scheduled job")
cron_create.add_argument("schedule", help="Schedule like '30m', 'every 2h', or '0 9 * * *'")
cron_create.add_argument("prompt", nargs="?", help="Optional self-contained prompt or task instruction")
cron_create.add_argument("--name", help="Optional human-friendly job name")
cron_create.add_argument("--deliver", help="Delivery target: origin, local, telegram, discord, signal, or platform:chat_id")
cron_create.add_argument("--repeat", type=int, help="Optional repeat count")
cron_create.add_argument("--skill", dest="skills", action="append", help="Attach a skill. Repeat to add multiple skills.")
# cron edit
cron_edit = cron_subparsers.add_parser("edit", help="Edit an existing scheduled job")
cron_edit.add_argument("job_id", help="Job ID to edit")
cron_edit.add_argument("--schedule", help="New schedule")
cron_edit.add_argument("--prompt", help="New prompt/task instruction")
cron_edit.add_argument("--name", help="New job name")
cron_edit.add_argument("--deliver", help="New delivery target")
cron_edit.add_argument("--repeat", type=int, help="New repeat count")
cron_edit.add_argument("--skill", dest="skills", action="append", help="Replace the job's skills with this set. Repeat to attach multiple skills.")
cron_edit.add_argument("--add-skill", dest="add_skills", action="append", help="Append a skill without replacing the existing list. Repeatable.")
cron_edit.add_argument("--remove-skill", dest="remove_skills", action="append", help="Remove a specific attached skill. Repeatable.")
cron_edit.add_argument("--clear-skills", action="store_true", help="Remove all attached skills from the job")
# lifecycle actions
cron_pause = cron_subparsers.add_parser("pause", help="Pause a scheduled job")
cron_pause.add_argument("job_id", help="Job ID to pause")
cron_resume = cron_subparsers.add_parser("resume", help="Resume a paused job")
cron_resume.add_argument("job_id", help="Job ID to resume")
cron_run = cron_subparsers.add_parser("run", help="Run a job on the next scheduler tick")
cron_run.add_argument("job_id", help="Job ID to trigger")
cron_remove = cron_subparsers.add_parser("remove", aliases=["rm", "delete"], help="Remove a scheduled job")
cron_remove.add_argument("job_id", help="Job ID to remove")
# cron status
cron_subparsers.add_parser("status", help="Check if cron scheduler is running")
# cron tick (mostly for debugging)
cron_subparsers.add_parser("tick", help="Run due jobs once and exit")
cron_parser.set_defaults(func=cmd_cron)
# =========================================================================

View file

@ -460,33 +460,15 @@ def _print_setup_summary(config: dict, hermes_home):
tool_status = []
# Vision — works with OpenRouter, Nous OAuth, Codex OAuth, or OpenAI endpoint
_has_vision = False
if get_env_value("OPENROUTER_API_KEY"):
_has_vision = True
else:
try:
_vauth_path = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes")) / "auth.json"
if _vauth_path.is_file():
import json as _vjson
# Vision — use the same runtime resolver as the actual vision tools
try:
from agent.auxiliary_client import get_available_vision_backends
_vauth = _vjson.loads(_vauth_path.read_text())
if _vauth.get("active_provider") == "nous":
_np = _vauth.get("providers", {}).get("nous", {})
if _np.get("agent_key") or _np.get("access_token"):
_has_vision = True
elif _vauth.get("active_provider") == "openai-codex":
_cp = _vauth.get("providers", {}).get("openai-codex", {})
if _cp.get("tokens", {}).get("access_token"):
_has_vision = True
except Exception:
pass
if not _has_vision:
_oai_base = get_env_value("OPENAI_BASE_URL") or ""
if get_env_value("OPENAI_API_KEY") and "api.openai.com" in _oai_base.lower():
_has_vision = True
_vision_backends = get_available_vision_backends()
except Exception:
_vision_backends = []
if _has_vision:
if _vision_backends:
tool_status.append(("Vision (image analysis)", True, None))
else:
tool_status.append(("Vision (image analysis)", False, "run 'hermes setup' to configure"))
@ -1276,58 +1258,22 @@ def setup_model_provider(config: dict):
selected_provider = "openrouter"
# ── Vision & Image Analysis Setup ──
# Vision requires a multimodal-capable provider. Check whether the user's
# chosen provider already covers it — if so, skip the prompt entirely.
_vision_needs_setup = True
# Keep setup aligned with the actual runtime resolver the vision tools use.
try:
from agent.auxiliary_client import get_available_vision_backends
if selected_provider == "openrouter":
# OpenRouter → Gemini for vision, already configured
_vision_needs_setup = False
elif selected_provider == "nous":
# Nous Portal OAuth → Gemini via Nous, already configured
_vision_needs_setup = False
elif selected_provider == "openai-codex":
# Codex OAuth → gpt-5.3-codex supports vision
_vision_needs_setup = False
elif selected_provider == "custom":
_custom_base = (get_env_value("OPENAI_BASE_URL") or "").lower()
if "api.openai.com" in _custom_base:
# Direct OpenAI endpoint — show vision model picker
print()
print_header("Vision Model")
print_info("Your OpenAI endpoint supports vision. Pick a model for image analysis:")
_oai_vision_models = ["gpt-4o", "gpt-4o-mini", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano"]
_vm_choices = _oai_vision_models + ["Keep default (gpt-4o-mini)"]
_vm_idx = prompt_choice("Select vision model:", _vm_choices, len(_vm_choices) - 1)
_selected_vision_model = (
_oai_vision_models[_vm_idx]
if _vm_idx < len(_oai_vision_models)
else "gpt-4o-mini"
)
save_env_value("AUXILIARY_VISION_MODEL", _selected_vision_model)
print_success(f"Vision model set to {_selected_vision_model}")
_vision_needs_setup = False
_vision_backends = set(get_available_vision_backends())
except Exception:
_vision_backends = set()
# Even for providers without native vision, check if existing credentials
# from a previous setup already cover it (e.g. user had OpenRouter before
# switching to z.ai)
if _vision_needs_setup:
if get_env_value("OPENROUTER_API_KEY"):
_vision_needs_setup = False
else:
# Check for Nous Portal OAuth in auth.json
try:
_auth_path = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes")) / "auth.json"
if _auth_path.is_file():
import json as _json
_vision_needs_setup = not bool(_vision_backends)
_auth_data = _json.loads(_auth_path.read_text())
if _auth_data.get("active_provider") == "nous":
_nous_p = _auth_data.get("providers", {}).get("nous", {})
if _nous_p.get("agent_key") or _nous_p.get("access_token"):
_vision_needs_setup = False
except Exception:
pass
if selected_provider in {"openrouter", "nous", "openai-codex"}:
# If the user just selected one of our known-good vision backends during
# setup, treat vision as covered. Auth/setup failure returns earlier.
_vision_needs_setup = False
elif selected_provider == "custom" and "custom" in _vision_backends:
_vision_needs_setup = False
if _vision_needs_setup:
_prov_names = {
@ -1343,44 +1289,54 @@ def setup_model_provider(config: dict):
print()
print_header("Vision & Image Analysis (optional)")
print_info(f"Vision requires a multimodal-capable provider. {_prov_display}")
print_info("doesn't natively support it. Choose how to enable vision,")
print_info("or skip to configure later.")
print_info(f"Vision uses a separate multimodal backend. {_prov_display}")
print_info("doesn't currently provide one Hermes can auto-use for vision,")
print_info("so choose a backend now or skip and configure later.")
print()
_vision_choices = [
"OpenRouter — uses Gemini (free tier at openrouter.ai/keys)",
"OpenAI — enter API key & choose a vision model",
"OpenAI-compatible endpoint — base URL, API key, and vision model",
"Skip for now",
]
_vision_idx = prompt_choice("Configure vision:", _vision_choices, 2)
if _vision_idx == 0: # OpenRouter
_or_key = prompt(" OpenRouter API key", password=True)
_or_key = prompt(" OpenRouter API key", password=True).strip()
if _or_key:
save_env_value("OPENROUTER_API_KEY", _or_key)
print_success("OpenRouter key saved — vision will use Gemini")
else:
print_info("Skipped — vision won't be available")
elif _vision_idx == 1: # OpenAI
_oai_key = prompt(" OpenAI API key", password=True)
elif _vision_idx == 1: # OpenAI-compatible endpoint
_base_url = prompt(" Base URL (blank for OpenAI)").strip() or "https://api.openai.com/v1"
_api_key_label = " API key"
if "api.openai.com" in _base_url.lower():
_api_key_label = " OpenAI API key"
_oai_key = prompt(_api_key_label, password=True).strip()
if _oai_key:
save_env_value("OPENAI_API_KEY", _oai_key)
save_env_value("OPENAI_BASE_URL", "https://api.openai.com/v1")
_oai_vision_models = ["gpt-4o", "gpt-4o-mini", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano"]
_vm_choices = _oai_vision_models + ["Use default (gpt-4o-mini)"]
_vm_idx = prompt_choice("Select vision model:", _vm_choices, 0)
_selected_vision_model = (
_oai_vision_models[_vm_idx]
if _vm_idx < len(_oai_vision_models)
else "gpt-4o-mini"
)
save_env_value("OPENAI_BASE_URL", _base_url)
if "api.openai.com" in _base_url.lower():
_oai_vision_models = ["gpt-4o", "gpt-4o-mini", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano"]
_vm_choices = _oai_vision_models + ["Use default (gpt-4o-mini)"]
_vm_idx = prompt_choice("Select vision model:", _vm_choices, 0)
_selected_vision_model = (
_oai_vision_models[_vm_idx]
if _vm_idx < len(_oai_vision_models)
else "gpt-4o-mini"
)
else:
_selected_vision_model = prompt(" Vision model (blank = use main/custom default)").strip()
save_env_value("AUXILIARY_VISION_MODEL", _selected_vision_model)
print_success(f"Vision configured with OpenAI ({_selected_vision_model})")
print_success(
f"Vision configured with {_base_url}"
+ (f" ({_selected_vision_model})" if _selected_vision_model else "")
)
else:
print_info("Skipped — vision won't be available")
else:
print_info("Skipped — add later with 'hermes config set OPENROUTER_API_KEY ...'")
print_info("Skipped — add later with 'hermes setup' or configure AUXILIARY_VISION_* settings")
# ── Model Selection (adapts based on provider) ──
if selected_provider != "custom": # Custom already prompted for model name

View file

@ -91,7 +91,7 @@ CONFIGURABLE_TOOLSETS = [
("session_search", "🔎 Session Search", "search past conversations"),
("clarify", "❓ Clarifying Questions", "clarify"),
("delegation", "👥 Task Delegation", "delegate_task"),
("cronjob", "⏰ Cron Jobs", "schedule, list, remove"),
("cronjob", "⏰ Cron Jobs", "create/list/update/pause/resume/run, with optional attached skills"),
("rl", "🧪 RL Training", "Tinker-Atropos training tools"),
("homeassistant", "🏠 Home Assistant", "smart home device control"),
]
@ -362,14 +362,21 @@ def _save_platform_tools(config: dict, platform: str, enabled_toolset_keys: Set[
def _toolset_has_keys(ts_key: str) -> bool:
"""Check if a toolset's required API keys are configured."""
if ts_key == "vision":
try:
from agent.auxiliary_client import resolve_vision_provider_client
_provider, client, _model = resolve_vision_provider_client()
return client is not None
except Exception:
return False
# Check TOOL_CATEGORIES first (provider-aware)
cat = TOOL_CATEGORIES.get(ts_key)
if cat:
for provider in cat["providers"]:
for provider in cat.get("providers", []):
env_vars = provider.get("env_vars", [])
if not env_vars:
return True # Free provider (e.g., Edge TTS)
if all(get_env_value(v["key"]) for v in env_vars):
if env_vars and all(get_env_value(e["key"]) for e in env_vars):
return True
return False
@ -628,6 +635,39 @@ def _configure_provider(provider: dict, config: dict):
def _configure_simple_requirements(ts_key: str):
"""Simple fallback for toolsets that just need env vars (no provider selection)."""
if ts_key == "vision":
if _toolset_has_keys("vision"):
return
print()
print(color(" Vision / Image Analysis requires a multimodal backend:", Colors.YELLOW))
choices = [
"OpenRouter — uses Gemini",
"OpenAI-compatible endpoint — base URL, API key, and vision model",
"Skip",
]
idx = _prompt_choice(" Configure vision backend", choices, 2)
if idx == 0:
_print_info(" Get key at: https://openrouter.ai/keys")
value = _prompt(" OPENROUTER_API_KEY", password=True)
if value and value.strip():
save_env_value("OPENROUTER_API_KEY", value.strip())
_print_success(" Saved")
else:
_print_warning(" Skipped")
elif idx == 1:
base_url = _prompt(" OPENAI_BASE_URL (blank for OpenAI)").strip() or "https://api.openai.com/v1"
key_label = " OPENAI_API_KEY" if "api.openai.com" in base_url.lower() else " API key"
api_key = _prompt(key_label, password=True)
if api_key and api_key.strip():
save_env_value("OPENAI_BASE_URL", base_url)
save_env_value("OPENAI_API_KEY", api_key.strip())
if "api.openai.com" in base_url.lower():
save_env_value("AUXILIARY_VISION_MODEL", "gpt-4o-mini")
_print_success(" Saved")
else:
_print_warning(" Skipped")
return
requirements = TOOLSET_ENV_REQUIREMENTS.get(ts_key, [])
if not requirements:
return

View file

@ -144,7 +144,7 @@ _LEGACY_TOOLSET_MAP = {
"browser_press", "browser_close", "browser_get_images",
"browser_vision"
],
"cronjob_tools": ["schedule_cronjob", "list_cronjobs", "remove_cronjob"],
"cronjob_tools": ["cronjob"],
"rl_tools": [
"rl_list_environments", "rl_select_environment",
"rl_get_current_config", "rl_edit_config",

View file

@ -2613,6 +2613,43 @@ class AIAgent:
return True
def _try_refresh_anthropic_client_credentials(self) -> bool:
if self.api_mode != "anthropic_messages" or not hasattr(self, "_anthropic_api_key"):
return False
try:
from agent.anthropic_adapter import resolve_anthropic_token, build_anthropic_client
new_token = resolve_anthropic_token()
except Exception as exc:
logger.debug("Anthropic credential refresh failed: %s", exc)
return False
if not isinstance(new_token, str) or not new_token.strip():
return False
new_token = new_token.strip()
if new_token == self._anthropic_api_key:
return False
try:
self._anthropic_client.close()
except Exception:
pass
try:
self._anthropic_client = build_anthropic_client(new_token, getattr(self, "_anthropic_base_url", None))
except Exception as exc:
logger.warning("Failed to rebuild Anthropic client after credential refresh: %s", exc)
return False
self._anthropic_api_key = new_token
return True
def _anthropic_messages_create(self, api_kwargs: dict):
if self.api_mode == "anthropic_messages":
self._try_refresh_anthropic_client_credentials()
return self._anthropic_client.messages.create(**api_kwargs)
def _interruptible_api_call(self, api_kwargs: dict):
"""
Run the API call in a background thread so the main conversation loop
@ -2629,7 +2666,7 @@ class AIAgent:
if self.api_mode == "codex_responses":
result["response"] = self._run_codex_stream(api_kwargs)
elif self.api_mode == "anthropic_messages":
result["response"] = self._anthropic_client.messages.create(**api_kwargs)
result["response"] = self._anthropic_messages_create(api_kwargs)
else:
result["response"] = self.client.chat.completions.create(**api_kwargs)
except Exception as e:
@ -3267,7 +3304,7 @@ class AIAgent:
tools=[memory_tool_def], max_tokens=5120,
reasoning_config=None,
)
response = self._anthropic_client.messages.create(**ant_kwargs)
response = self._anthropic_messages_create(ant_kwargs)
elif not _aux_available:
api_kwargs = {
"model": self.model,
@ -3804,7 +3841,7 @@ class AIAgent:
'image_generate': '🎨', 'text_to_speech': '🔊',
'vision_analyze': '👁️', 'mixture_of_agents': '🧠',
'skills_list': '📚', 'skill_view': '📚',
'schedule_cronjob': '', 'list_cronjobs': '', 'remove_cronjob': '',
'cronjob': '',
'send_message': '📨', 'todo': '📋', 'memory': '🧠', 'session_search': '🔍',
'clarify': '', 'execute_code': '🐍', 'delegate_task': '🔀',
}
@ -4018,7 +4055,7 @@ class AIAgent:
from agent.anthropic_adapter import build_anthropic_kwargs as _bak, normalize_anthropic_response as _nar
_ant_kw = _bak(model=self.model, messages=api_messages, tools=None,
max_tokens=self.max_tokens, reasoning_config=self.reasoning_config)
summary_response = self._anthropic_client.messages.create(**_ant_kw)
summary_response = self._anthropic_messages_create(_ant_kw)
_msg, _ = _nar(summary_response)
final_response = (_msg.content or "").strip()
else:
@ -4048,7 +4085,7 @@ class AIAgent:
from agent.anthropic_adapter import build_anthropic_kwargs as _bak2, normalize_anthropic_response as _nar2
_ant_kw2 = _bak2(model=self.model, messages=api_messages, tools=None,
max_tokens=self.max_tokens, reasoning_config=self.reasoning_config)
retry_response = self._anthropic_client.messages.create(**_ant_kw2)
retry_response = self._anthropic_messages_create(_ant_kw2)
_retry_msg, _ = _nar2(retry_response)
final_response = (_retry_msg.content or "").strip()
else:
@ -4822,12 +4859,8 @@ class AIAgent:
and not anthropic_auth_retry_attempted
):
anthropic_auth_retry_attempted = True
# Try re-reading Claude Code credentials (they may have been refreshed)
from agent.anthropic_adapter import resolve_anthropic_token, build_anthropic_client, _is_oauth_token
new_token = resolve_anthropic_token()
if new_token and new_token != self._anthropic_api_key:
self._anthropic_api_key = new_token
self._anthropic_client = build_anthropic_client(new_token, getattr(self, "_anthropic_base_url", None))
from agent.anthropic_adapter import _is_oauth_token
if self._try_refresh_anthropic_client_credentials():
print(f"{self.log_prefix}🔐 Anthropic credentials refreshed after 401. Retrying request...")
continue
# Credential refresh didn't help — show diagnostic info

View file

@ -155,7 +155,7 @@ terminal(command="hermes chat -q 'Summarize this codebase' --model google/gemini
## Gateway Cron Integration
For scheduled autonomous tasks, use the `schedule_cronjob` tool instead of spawning processes — cron jobs handle delivery, retry, and persistence automatically.
For scheduled autonomous tasks, use the unified `cronjob` tool instead of spawning processes — cron jobs handle delivery, retry, and persistence automatically.
## Key Differences Between Modes

View file

@ -4,7 +4,11 @@ import os
from unittest.mock import patch
import tools.skills_tool as skills_tool_module
from agent.skill_commands import scan_skill_commands, build_skill_invocation_message
from agent.skill_commands import (
scan_skill_commands,
build_skill_invocation_message,
build_preloaded_skills_prompt,
)
def _make_skill(
@ -79,6 +83,33 @@ class TestScanSkillCommands:
assert "/generic-tool" in result
class TestBuildPreloadedSkillsPrompt:
def test_builds_prompt_for_multiple_named_skills(self, tmp_path):
with patch("tools.skills_tool.SKILLS_DIR", tmp_path):
_make_skill(tmp_path, "first-skill")
_make_skill(tmp_path, "second-skill")
prompt, loaded, missing = build_preloaded_skills_prompt(
["first-skill", "second-skill"]
)
assert missing == []
assert loaded == ["first-skill", "second-skill"]
assert "first-skill" in prompt
assert "second-skill" in prompt
assert "preloaded" in prompt.lower()
def test_reports_missing_named_skills(self, tmp_path):
with patch("tools.skills_tool.SKILLS_DIR", tmp_path):
_make_skill(tmp_path, "present-skill")
prompt, loaded, missing = build_preloaded_skills_prompt(
["present-skill", "missing-skill"]
)
assert "present-skill" in prompt
assert loaded == ["present-skill"]
assert missing == ["missing-skill"]
class TestBuildSkillInvocationMessage:
def test_loads_skill_by_stored_path_when_frontmatter_name_differs(self, tmp_path):
skill_dir = tmp_path / "mlops" / "audiocraft"

View file

@ -16,6 +16,8 @@ from cron.jobs import (
get_job,
list_jobs,
update_job,
pause_job,
resume_job,
remove_job,
mark_job_run,
get_due_jobs,
@ -233,14 +235,18 @@ class TestUpdateJob:
job = create_job(prompt="Daily report", schedule="every 1h")
assert job["schedule"]["kind"] == "interval"
assert job["schedule"]["minutes"] == 60
old_next_run = job["next_run_at"]
new_schedule = parse_schedule("every 2h")
updated = update_job(job["id"], {"schedule": new_schedule})
updated = update_job(job["id"], {"schedule": new_schedule, "schedule_display": new_schedule["display"]})
assert updated is not None
assert updated["schedule"]["kind"] == "interval"
assert updated["schedule"]["minutes"] == 120
assert updated["schedule_display"] == "every 120m"
assert updated["next_run_at"] != old_next_run
# Verify persisted to disk
fetched = get_job(job["id"])
assert fetched["schedule"]["minutes"] == 120
assert fetched["schedule_display"] == "every 120m"
def test_update_enable_disable(self, tmp_cron_dir):
job = create_job(prompt="Toggle me", schedule="every 1h")
@ -255,6 +261,26 @@ class TestUpdateJob:
assert result is None
class TestPauseResumeJob:
def test_pause_sets_state(self, tmp_cron_dir):
job = create_job(prompt="Pause me", schedule="every 1h")
paused = pause_job(job["id"], reason="user paused")
assert paused is not None
assert paused["enabled"] is False
assert paused["state"] == "paused"
assert paused["paused_reason"] == "user paused"
def test_resume_reenables_job(self, tmp_cron_dir):
job = create_job(prompt="Resume me", schedule="every 1h")
pause_job(job["id"], reason="user paused")
resumed = resume_job(job["id"])
assert resumed is not None
assert resumed["enabled"] is True
assert resumed["state"] == "scheduled"
assert resumed["paused_at"] is None
assert resumed["paused_reason"] is None
class TestMarkJobRun:
def test_increments_completed(self, tmp_cron_dir):
job = create_job(prompt="Test", schedule="every 1h")

View file

@ -307,3 +307,94 @@ class TestRunJobConfigLogging:
assert any("failed to parse prefill messages" in r.message for r in caplog.records), \
f"Expected 'failed to parse prefill messages' warning in logs, got: {[r.message for r in caplog.records]}"
class TestRunJobSkillBacked:
def test_run_job_loads_skill_and_disables_recursive_cron_tools(self, tmp_path):
job = {
"id": "skill-job",
"name": "skill test",
"prompt": "Check the feeds and summarize anything new.",
"skill": "blogwatcher",
}
fake_db = MagicMock()
with patch("cron.scheduler._hermes_home", tmp_path), \
patch("cron.scheduler._resolve_origin", return_value=None), \
patch("dotenv.load_dotenv"), \
patch("hermes_state.SessionDB", return_value=fake_db), \
patch(
"hermes_cli.runtime_provider.resolve_runtime_provider",
return_value={
"api_key": "***",
"base_url": "https://example.invalid/v1",
"provider": "openrouter",
"api_mode": "chat_completions",
},
), \
patch("tools.skills_tool.skill_view", return_value=json.dumps({"success": True, "content": "# Blogwatcher\nFollow this skill."})), \
patch("run_agent.AIAgent") as mock_agent_cls:
mock_agent = MagicMock()
mock_agent.run_conversation.return_value = {"final_response": "ok"}
mock_agent_cls.return_value = mock_agent
success, output, final_response, error = run_job(job)
assert success is True
assert error is None
assert final_response == "ok"
kwargs = mock_agent_cls.call_args.kwargs
assert "cronjob" in (kwargs["disabled_toolsets"] or [])
prompt_arg = mock_agent.run_conversation.call_args.args[0]
assert "blogwatcher" in prompt_arg
assert "Follow this skill" in prompt_arg
assert "Check the feeds and summarize anything new." in prompt_arg
def test_run_job_loads_multiple_skills_in_order(self, tmp_path):
job = {
"id": "multi-skill-job",
"name": "multi skill test",
"prompt": "Combine the results.",
"skills": ["blogwatcher", "find-nearby"],
}
fake_db = MagicMock()
def _skill_view(name):
return json.dumps({"success": True, "content": f"# {name}\nInstructions for {name}."})
with patch("cron.scheduler._hermes_home", tmp_path), \
patch("cron.scheduler._resolve_origin", return_value=None), \
patch("dotenv.load_dotenv"), \
patch("hermes_state.SessionDB", return_value=fake_db), \
patch(
"hermes_cli.runtime_provider.resolve_runtime_provider",
return_value={
"api_key": "***",
"base_url": "https://example.invalid/v1",
"provider": "openrouter",
"api_mode": "chat_completions",
},
), \
patch("tools.skills_tool.skill_view", side_effect=_skill_view) as skill_view_mock, \
patch("run_agent.AIAgent") as mock_agent_cls:
mock_agent = MagicMock()
mock_agent.run_conversation.return_value = {"final_response": "ok"}
mock_agent_cls.return_value = mock_agent
success, output, final_response, error = run_job(job)
assert success is True
assert error is None
assert final_response == "ok"
assert skill_view_mock.call_count == 2
assert [call.args[0] for call in skill_view_mock.call_args_list] == ["blogwatcher", "find-nearby"]
prompt_arg = mock_agent.run_conversation.call_args.args[0]
assert prompt_arg.index("blogwatcher") < prompt_arg.index("find-nearby")
assert "Instructions for blogwatcher." in prompt_arg
assert "Instructions for find-nearby." in prompt_arg
assert "Combine the results." in prompt_arg

View file

@ -0,0 +1,77 @@
import sys
def test_top_level_skills_flag_defaults_to_chat(monkeypatch):
import hermes_cli.main as main_mod
captured = {}
def fake_cmd_chat(args):
captured["skills"] = args.skills
captured["command"] = args.command
monkeypatch.setattr(main_mod, "cmd_chat", fake_cmd_chat)
monkeypatch.setattr(
sys,
"argv",
["hermes", "-s", "hermes-agent-dev,github-auth"],
)
main_mod.main()
assert captured == {
"skills": ["hermes-agent-dev,github-auth"],
"command": None,
}
def test_chat_subcommand_accepts_skills_flag(monkeypatch):
import hermes_cli.main as main_mod
captured = {}
def fake_cmd_chat(args):
captured["skills"] = args.skills
captured["query"] = args.query
monkeypatch.setattr(main_mod, "cmd_chat", fake_cmd_chat)
monkeypatch.setattr(
sys,
"argv",
["hermes", "chat", "-s", "github-auth", "-q", "hello"],
)
main_mod.main()
assert captured == {
"skills": ["github-auth"],
"query": "hello",
}
def test_continue_worktree_and_skills_flags_work_together(monkeypatch):
import hermes_cli.main as main_mod
captured = {}
def fake_cmd_chat(args):
captured["continue_last"] = args.continue_last
captured["worktree"] = args.worktree
captured["skills"] = args.skills
captured["command"] = args.command
monkeypatch.setattr(main_mod, "cmd_chat", fake_cmd_chat)
monkeypatch.setattr(
sys,
"argv",
["hermes", "-c", "-w", "-s", "hermes-agent-dev"],
)
main_mod.main()
assert captured == {
"continue_last": True,
"worktree": True,
"skills": ["hermes-agent-dev"],
"command": "chat",
}

View file

@ -0,0 +1,107 @@
"""Tests for hermes_cli.cron command handling."""
from argparse import Namespace
import pytest
from cron.jobs import create_job, get_job, list_jobs
from hermes_cli.cron import cron_command
@pytest.fixture()
def tmp_cron_dir(tmp_path, monkeypatch):
monkeypatch.setattr("cron.jobs.CRON_DIR", tmp_path / "cron")
monkeypatch.setattr("cron.jobs.JOBS_FILE", tmp_path / "cron" / "jobs.json")
monkeypatch.setattr("cron.jobs.OUTPUT_DIR", tmp_path / "cron" / "output")
return tmp_path
class TestCronCommandLifecycle:
def test_pause_resume_run(self, tmp_cron_dir, capsys):
job = create_job(prompt="Check server status", schedule="every 1h")
cron_command(Namespace(cron_command="pause", job_id=job["id"]))
paused = get_job(job["id"])
assert paused["state"] == "paused"
cron_command(Namespace(cron_command="resume", job_id=job["id"]))
resumed = get_job(job["id"])
assert resumed["state"] == "scheduled"
cron_command(Namespace(cron_command="run", job_id=job["id"]))
triggered = get_job(job["id"])
assert triggered["state"] == "scheduled"
out = capsys.readouterr().out
assert "Paused job" in out
assert "Resumed job" in out
assert "Triggered job" in out
def test_edit_can_replace_and_clear_skills(self, tmp_cron_dir, capsys):
job = create_job(
prompt="Combine skill outputs",
schedule="every 1h",
skill="blogwatcher",
)
cron_command(
Namespace(
cron_command="edit",
job_id=job["id"],
schedule="every 2h",
prompt="Revised prompt",
name="Edited Job",
deliver=None,
repeat=None,
skill=None,
skills=["find-nearby", "blogwatcher"],
clear_skills=False,
)
)
updated = get_job(job["id"])
assert updated["skills"] == ["find-nearby", "blogwatcher"]
assert updated["name"] == "Edited Job"
assert updated["prompt"] == "Revised prompt"
assert updated["schedule_display"] == "every 120m"
cron_command(
Namespace(
cron_command="edit",
job_id=job["id"],
schedule=None,
prompt=None,
name=None,
deliver=None,
repeat=None,
skill=None,
skills=None,
clear_skills=True,
)
)
cleared = get_job(job["id"])
assert cleared["skills"] == []
assert cleared["skill"] is None
out = capsys.readouterr().out
assert "Updated job" in out
def test_create_with_multiple_skills(self, tmp_cron_dir, capsys):
cron_command(
Namespace(
cron_command="create",
schedule="every 1h",
prompt="Use both skills",
name="Skill combo",
deliver=None,
repeat=None,
skill=None,
skills=["blogwatcher", "find-nearby"],
)
)
out = capsys.readouterr().out
assert "Created job" in out
jobs = list_jobs()
assert len(jobs) == 1
assert jobs[0]["skills"] == ["blogwatcher", "find-nearby"]
assert jobs[0]["name"] == "Skill combo"

View file

@ -39,6 +39,8 @@ def test_setup_keep_current_custom_from_config_does_not_fall_through(tmp_path, m
"""Keep-current custom should not fall through to the generic model menu."""
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
_clear_provider_env(monkeypatch)
save_env_value("OPENAI_BASE_URL", "https://example.invalid/v1")
save_env_value("OPENAI_API_KEY", "custom-key")
config = load_config()
config["model"] = {
@ -55,10 +57,6 @@ def test_setup_keep_current_custom_from_config_does_not_fall_through(tmp_path, m
if calls["count"] == 1:
assert choices[-1] == "Keep current (Custom: https://example.invalid/v1)"
return len(choices) - 1
if calls["count"] == 2:
assert question == "Configure vision:"
assert choices[-1] == "Skip for now"
return len(choices) - 1
raise AssertionError("Model menu should not appear for keep-current custom")
monkeypatch.setattr("hermes_cli.setup.prompt_choice", fake_prompt_choice)
@ -74,7 +72,7 @@ def test_setup_keep_current_custom_from_config_does_not_fall_through(tmp_path, m
assert reloaded["model"]["provider"] == "custom"
assert reloaded["model"]["default"] == "custom/model"
assert reloaded["model"]["base_url"] == "https://example.invalid/v1"
assert calls["count"] == 2
assert calls["count"] == 1
def test_setup_keep_current_config_provider_uses_provider_specific_model_menu(tmp_path, monkeypatch):
@ -214,7 +212,7 @@ def test_setup_summary_marks_codex_auth_as_vision_available(tmp_path, monkeypatc
_clear_provider_env(monkeypatch)
(tmp_path / "auth.json").write_text(
'{"active_provider":"openai-codex","providers":{"openai-codex":{"tokens":{"access_token":"tok"}}}}'
'{"active_provider":"openai-codex","providers":{"openai-codex":{"tokens":{"access_token": "***", "refresh_token": "***"}}}}'
)
monkeypatch.setattr("shutil.which", lambda _name: None)

View file

@ -1,6 +1,6 @@
"""Tests for hermes_cli.tools_config platform tool persistence."""
from hermes_cli.tools_config import _get_platform_tools, _platform_toolset_summary
from hermes_cli.tools_config import _get_platform_tools, _platform_toolset_summary, _toolset_has_keys
def test_get_platform_tools_uses_default_when_platform_not_configured():
@ -26,3 +26,17 @@ def test_platform_toolset_summary_uses_explicit_platform_list():
assert set(summary.keys()) == {"cli"}
assert summary["cli"] == _get_platform_tools(config, "cli")
def test_toolset_has_keys_for_vision_accepts_codex_auth(tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
(tmp_path / "auth.json").write_text(
'{"active_provider":"openai-codex","providers":{"openai-codex":{"tokens":{"access_token":"codex-access-token","refresh_token":"codex-refresh-token"}}}}'
)
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
monkeypatch.delenv("OPENAI_BASE_URL", raising=False)
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
monkeypatch.delenv("AUXILIARY_VISION_PROVIDER", raising=False)
monkeypatch.delenv("CONTEXT_VISION_PROVIDER", raising=False)
assert _toolset_has_keys("vision") is True

View file

@ -181,6 +181,33 @@ class TestResolveAnthropicToken:
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
assert resolve_anthropic_token() == "cc-auto-token"
def test_prefers_refreshable_claude_code_credentials_over_static_anthropic_token(self, monkeypatch, tmp_path):
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
monkeypatch.setenv("ANTHROPIC_TOKEN", "sk-ant-oat01-static-token")
monkeypatch.delenv("CLAUDE_CODE_OAUTH_TOKEN", raising=False)
cred_file = tmp_path / ".claude" / ".credentials.json"
cred_file.parent.mkdir(parents=True)
cred_file.write_text(json.dumps({
"claudeAiOauth": {
"accessToken": "cc-auto-token",
"refreshToken": "refresh-token",
"expiresAt": int(time.time() * 1000) + 3600_000,
}
}))
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
assert resolve_anthropic_token() == "cc-auto-token"
def test_keeps_static_anthropic_token_when_only_non_refreshable_claude_key_exists(self, monkeypatch, tmp_path):
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
monkeypatch.setenv("ANTHROPIC_TOKEN", "sk-ant-oat01-static-token")
monkeypatch.delenv("CLAUDE_CODE_OAUTH_TOKEN", raising=False)
claude_json = tmp_path / ".claude.json"
claude_json.write_text(json.dumps({"primaryApiKey": "sk-ant-api03-managed-key"}))
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
assert resolve_anthropic_token() == "sk-ant-oat01-static-token"
class TestRefreshOauthToken:
def test_returns_none_without_refresh_token(self):
@ -279,6 +306,27 @@ class TestResolveWithRefresh:
assert result == "refreshed-token"
def test_static_env_oauth_token_does_not_block_refreshable_claude_creds(self, monkeypatch, tmp_path):
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
monkeypatch.setenv("ANTHROPIC_TOKEN", "sk-ant-oat01-expired-env-token")
monkeypatch.delenv("CLAUDE_CODE_OAUTH_TOKEN", raising=False)
cred_file = tmp_path / ".claude" / ".credentials.json"
cred_file.parent.mkdir(parents=True)
cred_file.write_text(json.dumps({
"claudeAiOauth": {
"accessToken": "expired-claude-creds-token",
"refreshToken": "valid-refresh",
"expiresAt": int(time.time() * 1000) - 3600_000,
}
}))
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
with patch("agent.anthropic_adapter._refresh_oauth_token", return_value="refreshed-token"):
result = resolve_anthropic_token()
assert result == "refreshed-token"
class TestRunOauthSetupToken:
def test_raises_when_claude_not_installed(self, monkeypatch):

View file

@ -0,0 +1,51 @@
"""Tests for Anthropic OAuth setup flow behavior."""
from hermes_cli.config import load_env, save_env_value
def test_run_anthropic_oauth_flow_prefers_claude_code_credentials(tmp_path, monkeypatch, capsys):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
monkeypatch.setattr(
"agent.anthropic_adapter.run_oauth_setup_token",
lambda: "sk-ant-oat01-from-claude-setup",
)
monkeypatch.setattr(
"agent.anthropic_adapter.read_claude_code_credentials",
lambda: {
"accessToken": "cc-access-token",
"refreshToken": "cc-refresh-token",
"expiresAt": 9999999999999,
},
)
monkeypatch.setattr(
"agent.anthropic_adapter.is_claude_code_token_valid",
lambda creds: True,
)
from hermes_cli.main import _run_anthropic_oauth_flow
save_env_value("ANTHROPIC_TOKEN", "stale-env-token")
assert _run_anthropic_oauth_flow(save_env_value) is True
env_vars = load_env()
assert env_vars["ANTHROPIC_TOKEN"] == ""
assert env_vars["ANTHROPIC_API_KEY"] == ""
output = capsys.readouterr().out
assert "Claude Code credentials linked" in output
def test_run_anthropic_oauth_flow_manual_token_still_persists(tmp_path, monkeypatch, capsys):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
monkeypatch.setattr("agent.anthropic_adapter.run_oauth_setup_token", lambda: None)
monkeypatch.setattr("agent.anthropic_adapter.read_claude_code_credentials", lambda: None)
monkeypatch.setattr("agent.anthropic_adapter.is_claude_code_token_valid", lambda creds: False)
monkeypatch.setattr("builtins.input", lambda _prompt="": "sk-ant-oat01-manual-token")
from hermes_cli.main import _run_anthropic_oauth_flow
assert _run_anthropic_oauth_flow(save_env_value) is True
env_vars = load_env()
assert env_vars["ANTHROPIC_TOKEN"] == "sk-ant-oat01-manual-token"
output = capsys.readouterr().out
assert "Setup-token saved" in output

View file

@ -17,6 +17,21 @@ def test_save_anthropic_oauth_token_uses_token_slot_and_clears_api_key(tmp_path,
assert env_vars["ANTHROPIC_API_KEY"] == ""
def test_use_anthropic_claude_code_credentials_clears_env_slots(tmp_path, monkeypatch):
home = tmp_path / "hermes"
home.mkdir()
monkeypatch.setenv("HERMES_HOME", str(home))
from hermes_cli.config import save_anthropic_oauth_token, use_anthropic_claude_code_credentials
save_anthropic_oauth_token("sk-ant-oat01-token")
use_anthropic_claude_code_credentials()
env_vars = load_env()
assert env_vars["ANTHROPIC_TOKEN"] == ""
assert env_vars["ANTHROPIC_API_KEY"] == ""
def test_save_anthropic_api_key_uses_api_key_slot_and_clears_token(tmp_path, monkeypatch):
home = tmp_path / "hermes"
home.mkdir()
@ -24,8 +39,8 @@ def test_save_anthropic_api_key_uses_api_key_slot_and_clears_token(tmp_path, mon
from hermes_cli.config import save_anthropic_api_key
save_anthropic_api_key("sk-ant-api03-test-key")
save_anthropic_api_key("sk-ant-api03-key")
env_vars = load_env()
assert env_vars["ANTHROPIC_API_KEY"] == "sk-ant-api03-test-key"
assert env_vars["ANTHROPIC_API_KEY"] == "sk-ant-api03-key"
assert env_vars["ANTHROPIC_TOKEN"] == ""

View file

@ -426,3 +426,30 @@ class TestKimiCodeCredentialAutoDetect:
monkeypatch.setenv("GLM_API_KEY", "sk-kimi-looks-like-kimi-but-isnt")
creds = resolve_api_key_provider_credentials("zai")
assert creds["base_url"] == "https://api.z.ai/api/paas/v4"
# =============================================================================
# Kimi / Moonshot model list isolation tests
# =============================================================================
class TestKimiMoonshotModelListIsolation:
"""Moonshot (legacy) users must not see Coding Plan-only models."""
def test_moonshot_list_excludes_coding_plan_only_models(self):
from hermes_cli.main import _PROVIDER_MODELS
moonshot_models = _PROVIDER_MODELS["moonshot"]
coding_plan_only = {"kimi-for-coding", "kimi-k2-thinking-turbo"}
leaked = set(moonshot_models) & coding_plan_only
assert not leaked, f"Moonshot list contains Coding Plan-only models: {leaked}"
def test_moonshot_list_contains_shared_models(self):
from hermes_cli.main import _PROVIDER_MODELS
moonshot_models = _PROVIDER_MODELS["moonshot"]
assert "kimi-k2.5" in moonshot_models
assert "kimi-k2-thinking" in moonshot_models
def test_coding_plan_list_contains_plan_specific_models(self):
from hermes_cli.main import _PROVIDER_MODELS
coding_models = _PROVIDER_MODELS["kimi-coding"]
assert "kimi-for-coding" in coding_models
assert "kimi-k2-thinking-turbo" in coding_models

View file

@ -0,0 +1,130 @@
from __future__ import annotations
import importlib
import os
import sys
from unittest.mock import MagicMock, patch
import pytest
def _make_real_cli(**kwargs):
clean_config = {
"model": {
"default": "anthropic/claude-opus-4.6",
"base_url": "https://openrouter.ai/api/v1",
"provider": "auto",
},
"display": {"compact": False, "tool_progress": "all"},
"agent": {},
"terminal": {"env_type": "local"},
}
clean_env = {"LLM_MODEL": "", "HERMES_MAX_ITERATIONS": ""}
prompt_toolkit_stubs = {
"prompt_toolkit": MagicMock(),
"prompt_toolkit.history": MagicMock(),
"prompt_toolkit.styles": MagicMock(),
"prompt_toolkit.patch_stdout": MagicMock(),
"prompt_toolkit.application": MagicMock(),
"prompt_toolkit.layout": MagicMock(),
"prompt_toolkit.layout.processors": MagicMock(),
"prompt_toolkit.filters": MagicMock(),
"prompt_toolkit.layout.dimension": MagicMock(),
"prompt_toolkit.layout.menus": MagicMock(),
"prompt_toolkit.widgets": MagicMock(),
"prompt_toolkit.key_binding": MagicMock(),
"prompt_toolkit.completion": MagicMock(),
"prompt_toolkit.formatted_text": MagicMock(),
}
with patch.dict(sys.modules, prompt_toolkit_stubs), patch.dict(
"os.environ", clean_env, clear=False
):
import cli as cli_mod
cli_mod = importlib.reload(cli_mod)
with patch.object(cli_mod, "get_tool_definitions", return_value=[]), patch.dict(
cli_mod.__dict__, {"CLI_CONFIG": clean_config}
):
return cli_mod.HermesCLI(**kwargs)
class _DummyCLI:
def __init__(self, **kwargs):
self.kwargs = kwargs
self.session_id = "session-123"
self.system_prompt = "base prompt"
self.preloaded_skills = []
def show_banner(self):
return None
def show_tools(self):
return None
def show_toolsets(self):
return None
def run(self):
return None
def test_main_applies_preloaded_skills_to_system_prompt(monkeypatch):
import cli as cli_mod
created = {}
def fake_cli(**kwargs):
created["cli"] = _DummyCLI(**kwargs)
return created["cli"]
monkeypatch.setattr(cli_mod, "HermesCLI", fake_cli)
monkeypatch.setattr(
cli_mod,
"build_preloaded_skills_prompt",
lambda skills, task_id=None: ("skill prompt", ["hermes-agent-dev", "github-auth"], []),
)
with pytest.raises(SystemExit):
cli_mod.main(skills="hermes-agent-dev,github-auth", list_tools=True)
cli_obj = created["cli"]
assert cli_obj.system_prompt == "base prompt\n\nskill prompt"
assert cli_obj.preloaded_skills == ["hermes-agent-dev", "github-auth"]
def test_main_raises_for_unknown_preloaded_skill(monkeypatch):
import cli as cli_mod
monkeypatch.setattr(cli_mod, "HermesCLI", lambda **kwargs: _DummyCLI(**kwargs))
monkeypatch.setattr(
cli_mod,
"build_preloaded_skills_prompt",
lambda skills, task_id=None: ("", [], ["missing-skill"]),
)
with pytest.raises(ValueError, match=r"Unknown skill\(s\): missing-skill"):
cli_mod.main(skills="missing-skill", list_tools=True)
def test_show_banner_prints_preloaded_skills_once_before_banner():
cli_obj = _make_real_cli(compact=False)
cli_obj.preloaded_skills = ["hermes-agent-dev", "github-auth"]
cli_obj.console = MagicMock()
with patch("cli.build_welcome_banner") as mock_banner, patch(
"shutil.get_terminal_size", return_value=os.terminal_size((120, 40))
):
cli_obj.show_banner()
cli_obj.show_banner()
print_calls = [
call.args[0]
for call in cli_obj.console.print.call_args_list
if call.args and isinstance(call.args[0], str)
]
startup_lines = [line for line in print_calls if "Activated skills:" in line]
assert len(startup_lines) == 1
assert "Activated skills:" in startup_lines[0]
assert "hermes-agent-dev, github-auth" in startup_lines[0]
assert mock_banner.call_count == 2

View file

@ -2085,6 +2085,92 @@ class TestAnthropicBaseUrlPassthrough:
assert not passed_url or passed_url is None
class TestAnthropicCredentialRefresh:
def test_try_refresh_anthropic_client_credentials_rebuilds_client(self):
with (
patch("run_agent.get_tool_definitions", return_value=_make_tool_defs("web_search")),
patch("run_agent.check_toolset_requirements", return_value={}),
patch("agent.anthropic_adapter.build_anthropic_client") as mock_build,
):
old_client = MagicMock()
new_client = MagicMock()
mock_build.side_effect = [old_client, new_client]
agent = AIAgent(
api_key="sk-ant-oat01-stale-token",
api_mode="anthropic_messages",
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
)
agent._anthropic_client = old_client
agent._anthropic_api_key = "sk-ant-oat01-stale-token"
agent._anthropic_base_url = "https://api.anthropic.com"
with (
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="sk-ant-oat01-fresh-token"),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=new_client) as rebuild,
):
assert agent._try_refresh_anthropic_client_credentials() is True
old_client.close.assert_called_once()
rebuild.assert_called_once_with("sk-ant-oat01-fresh-token", "https://api.anthropic.com")
assert agent._anthropic_client is new_client
assert agent._anthropic_api_key == "sk-ant-oat01-fresh-token"
def test_try_refresh_anthropic_client_credentials_returns_false_when_token_unchanged(self):
with (
patch("run_agent.get_tool_definitions", return_value=_make_tool_defs("web_search")),
patch("run_agent.check_toolset_requirements", return_value={}),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
):
agent = AIAgent(
api_key="sk-ant-oat01-same-token",
api_mode="anthropic_messages",
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
)
old_client = MagicMock()
agent._anthropic_client = old_client
agent._anthropic_api_key = "sk-ant-oat01-same-token"
with (
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="sk-ant-oat01-same-token"),
patch("agent.anthropic_adapter.build_anthropic_client") as rebuild,
):
assert agent._try_refresh_anthropic_client_credentials() is False
old_client.close.assert_not_called()
rebuild.assert_not_called()
def test_anthropic_messages_create_preflights_refresh(self):
with (
patch("run_agent.get_tool_definitions", return_value=_make_tool_defs("web_search")),
patch("run_agent.check_toolset_requirements", return_value={}),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
):
agent = AIAgent(
api_key="sk-ant-oat01-current-token",
api_mode="anthropic_messages",
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
)
response = SimpleNamespace(content=[])
agent._anthropic_client = MagicMock()
agent._anthropic_client.messages.create.return_value = response
with patch.object(agent, "_try_refresh_anthropic_client_credentials", return_value=True) as refresh:
result = agent._anthropic_messages_create({"model": "claude-sonnet-4-20250514"})
refresh.assert_called_once_with()
agent._anthropic_client.messages.create.assert_called_once_with(model="claude-sonnet-4-20250514")
assert result is response
# ===================================================================
# _streaming_api_call tests
# ===================================================================

View file

@ -6,6 +6,7 @@ from pathlib import Path
from tools.cronjob_tools import (
_scan_cron_prompt,
cronjob,
schedule_cronjob,
list_cronjobs,
remove_cronjob,
@ -180,3 +181,111 @@ class TestRemoveCronjob:
result = json.loads(remove_cronjob("nonexistent_id"))
assert result["success"] is False
assert "not found" in result["error"].lower()
class TestUnifiedCronjobTool:
@pytest.fixture(autouse=True)
def _setup_cron_dir(self, tmp_path, monkeypatch):
monkeypatch.setattr("cron.jobs.CRON_DIR", tmp_path / "cron")
monkeypatch.setattr("cron.jobs.JOBS_FILE", tmp_path / "cron" / "jobs.json")
monkeypatch.setattr("cron.jobs.OUTPUT_DIR", tmp_path / "cron" / "output")
def test_create_and_list(self):
created = json.loads(
cronjob(
action="create",
prompt="Check server status",
schedule="every 1h",
name="Server Check",
)
)
assert created["success"] is True
listing = json.loads(cronjob(action="list"))
assert listing["success"] is True
assert listing["count"] == 1
assert listing["jobs"][0]["name"] == "Server Check"
assert listing["jobs"][0]["state"] == "scheduled"
def test_pause_and_resume(self):
created = json.loads(cronjob(action="create", prompt="Check", schedule="every 1h"))
job_id = created["job_id"]
paused = json.loads(cronjob(action="pause", job_id=job_id))
assert paused["success"] is True
assert paused["job"]["state"] == "paused"
resumed = json.loads(cronjob(action="resume", job_id=job_id))
assert resumed["success"] is True
assert resumed["job"]["state"] == "scheduled"
def test_update_schedule_recomputes_display(self):
created = json.loads(cronjob(action="create", prompt="Check", schedule="every 1h"))
job_id = created["job_id"]
updated = json.loads(
cronjob(action="update", job_id=job_id, schedule="every 2h", name="New Name")
)
assert updated["success"] is True
assert updated["job"]["name"] == "New Name"
assert updated["job"]["schedule"] == "every 120m"
def test_create_skill_backed_job(self):
result = json.loads(
cronjob(
action="create",
skill="blogwatcher",
prompt="Check the configured feeds and summarize anything new.",
schedule="every 1h",
name="Morning feeds",
)
)
assert result["success"] is True
assert result["skill"] == "blogwatcher"
listing = json.loads(cronjob(action="list"))
assert listing["jobs"][0]["skill"] == "blogwatcher"
def test_create_multi_skill_job(self):
result = json.loads(
cronjob(
action="create",
skills=["blogwatcher", "find-nearby"],
prompt="Use both skills and combine the result.",
schedule="every 1h",
name="Combo job",
)
)
assert result["success"] is True
assert result["skills"] == ["blogwatcher", "find-nearby"]
listing = json.loads(cronjob(action="list"))
assert listing["jobs"][0]["skills"] == ["blogwatcher", "find-nearby"]
def test_multi_skill_default_name_prefers_prompt_when_present(self):
result = json.loads(
cronjob(
action="create",
skills=["blogwatcher", "find-nearby"],
prompt="Use both skills and combine the result.",
schedule="every 1h",
)
)
assert result["success"] is True
assert result["name"] == "Use both skills and combine the result."
def test_update_can_clear_skills(self):
created = json.loads(
cronjob(
action="create",
skills=["blogwatcher", "find-nearby"],
prompt="Use both skills and combine the result.",
schedule="every 1h",
)
)
updated = json.loads(
cronjob(action="update", job_id=created["job_id"], skills=[])
)
assert updated["success"] is True
assert updated["job"]["skills"] == []
assert updated["job"]["skill"] is None

View file

@ -351,6 +351,19 @@ class TestVisionRequirements:
result = check_vision_requirements()
assert isinstance(result, bool)
def test_check_requirements_accepts_codex_auth(self, monkeypatch, tmp_path):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
(tmp_path / "auth.json").write_text(
'{"active_provider":"openai-codex","providers":{"openai-codex":{"tokens":{"access_token":"codex-access-token","refresh_token":"codex-refresh-token"}}}}'
)
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
monkeypatch.delenv("OPENAI_BASE_URL", raising=False)
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
monkeypatch.delenv("AUXILIARY_VISION_PROVIDER", raising=False)
monkeypatch.delenv("CONTEXT_VISION_PROVIDER", raising=False)
assert check_vision_requirements() is True
def test_debug_session_info_returns_dict(self):
info = get_debug_session_info()
assert isinstance(info, dict)

View file

@ -84,14 +84,13 @@ from .browser_tool import (
# Cronjob management tools (CLI-only, hermes-cli toolset)
from .cronjob_tools import (
cronjob,
schedule_cronjob,
list_cronjobs,
remove_cronjob,
check_cronjob_requirements,
get_cronjob_tool_definitions,
SCHEDULE_CRONJOB_SCHEMA,
LIST_CRONJOBS_SCHEMA,
REMOVE_CRONJOB_SCHEMA
CRONJOB_SCHEMA,
)
# RL Training tools (Tinker-Atropos)
@ -211,14 +210,13 @@ __all__ = [
'check_browser_requirements',
'BROWSER_TOOL_SCHEMAS',
# Cronjob management tools (CLI-only)
'cronjob',
'schedule_cronjob',
'list_cronjobs',
'remove_cronjob',
'check_cronjob_requirements',
'get_cronjob_tool_definitions',
'SCHEDULE_CRONJOB_SCHEMA',
'LIST_CRONJOBS_SCHEMA',
'REMOVE_CRONJOB_SCHEMA',
'CRONJOB_SCHEMA',
# RL Training tools
'rl_list_environments',
'rl_select_environment',

View file

@ -1,24 +1,31 @@
"""
Cron job management tools for Hermes Agent.
These tools allow the agent to schedule, list, and remove automated tasks.
Only available when running via CLI (hermes-cli toolset).
IMPORTANT: Cronjobs run in isolated sessions with NO prior context.
The prompt must contain ALL necessary information.
Expose a single compressed action-oriented tool to avoid schema/context bloat.
Compatibility wrappers remain for direct Python callers and legacy tests.
"""
import json
import os
import re
from typing import Optional
# Import from cron module (will be available when properly installed)
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional
# Import from cron module (will be available when properly installed)
sys.path.insert(0, str(Path(__file__).parent.parent))
from cron.jobs import create_job, get_job, list_jobs, remove_job
from cron.jobs import (
create_job,
get_job,
list_jobs,
parse_schedule,
pause_job,
remove_job,
resume_job,
trigger_job,
update_job,
)
# ---------------------------------------------------------------------------
@ -56,9 +63,207 @@ def _scan_cron_prompt(prompt: str) -> str:
return ""
# =============================================================================
# Tool: schedule_cronjob
# =============================================================================
def _origin_from_env() -> Optional[Dict[str, str]]:
origin_platform = os.getenv("HERMES_SESSION_PLATFORM")
origin_chat_id = os.getenv("HERMES_SESSION_CHAT_ID")
if origin_platform and origin_chat_id:
return {
"platform": origin_platform,
"chat_id": origin_chat_id,
"chat_name": os.getenv("HERMES_SESSION_CHAT_NAME"),
}
return None
def _repeat_display(job: Dict[str, Any]) -> str:
times = (job.get("repeat") or {}).get("times")
completed = (job.get("repeat") or {}).get("completed", 0)
if times is None:
return "forever"
if times == 1:
return "once" if completed == 0 else "1/1"
return f"{completed}/{times}" if completed else f"{times} times"
def _canonical_skills(skill: Optional[str] = None, skills: Optional[Any] = None) -> List[str]:
if skills is None:
raw_items = [skill] if skill else []
elif isinstance(skills, str):
raw_items = [skills]
else:
raw_items = list(skills)
normalized: List[str] = []
for item in raw_items:
text = str(item or "").strip()
if text and text not in normalized:
normalized.append(text)
return normalized
def _format_job(job: Dict[str, Any]) -> Dict[str, Any]:
prompt = job.get("prompt", "")
skills = _canonical_skills(job.get("skill"), job.get("skills"))
return {
"job_id": job["id"],
"name": job["name"],
"skill": skills[0] if skills else None,
"skills": skills,
"prompt_preview": prompt[:100] + "..." if len(prompt) > 100 else prompt,
"schedule": job.get("schedule_display"),
"repeat": _repeat_display(job),
"deliver": job.get("deliver", "local"),
"next_run_at": job.get("next_run_at"),
"last_run_at": job.get("last_run_at"),
"last_status": job.get("last_status"),
"enabled": job.get("enabled", True),
"state": job.get("state", "scheduled" if job.get("enabled", True) else "paused"),
"paused_at": job.get("paused_at"),
"paused_reason": job.get("paused_reason"),
}
def cronjob(
action: str,
job_id: Optional[str] = None,
prompt: Optional[str] = None,
schedule: Optional[str] = None,
name: Optional[str] = None,
repeat: Optional[int] = None,
deliver: Optional[str] = None,
include_disabled: bool = False,
skill: Optional[str] = None,
skills: Optional[List[str]] = None,
reason: Optional[str] = None,
task_id: str = None,
) -> str:
"""Unified cron job management tool."""
del task_id # unused but kept for handler signature compatibility
try:
normalized = (action or "").strip().lower()
if normalized == "create":
if not schedule:
return json.dumps({"success": False, "error": "schedule is required for create"}, indent=2)
canonical_skills = _canonical_skills(skill, skills)
if not prompt and not canonical_skills:
return json.dumps({"success": False, "error": "create requires either prompt or at least one skill"}, indent=2)
if prompt:
scan_error = _scan_cron_prompt(prompt)
if scan_error:
return json.dumps({"success": False, "error": scan_error}, indent=2)
job = create_job(
prompt=prompt or "",
schedule=schedule,
name=name,
repeat=repeat,
deliver=deliver,
origin=_origin_from_env(),
skills=canonical_skills,
)
return json.dumps(
{
"success": True,
"job_id": job["id"],
"name": job["name"],
"skill": job.get("skill"),
"skills": job.get("skills", []),
"schedule": job["schedule_display"],
"repeat": _repeat_display(job),
"deliver": job.get("deliver", "local"),
"next_run_at": job["next_run_at"],
"job": _format_job(job),
"message": f"Cron job '{job['name']}' created.",
},
indent=2,
)
if normalized == "list":
jobs = [_format_job(job) for job in list_jobs(include_disabled=include_disabled)]
return json.dumps({"success": True, "count": len(jobs), "jobs": jobs}, indent=2)
if not job_id:
return json.dumps({"success": False, "error": f"job_id is required for action '{normalized}'"}, indent=2)
job = get_job(job_id)
if not job:
return json.dumps(
{"success": False, "error": f"Job with ID '{job_id}' not found. Use cronjob(action='list') to inspect jobs."},
indent=2,
)
if normalized == "remove":
removed = remove_job(job_id)
if not removed:
return json.dumps({"success": False, "error": f"Failed to remove job '{job_id}'"}, indent=2)
return json.dumps(
{
"success": True,
"message": f"Cron job '{job['name']}' removed.",
"removed_job": {
"id": job_id,
"name": job["name"],
"schedule": job.get("schedule_display"),
},
},
indent=2,
)
if normalized == "pause":
updated = pause_job(job_id, reason=reason)
return json.dumps({"success": True, "job": _format_job(updated)}, indent=2)
if normalized == "resume":
updated = resume_job(job_id)
return json.dumps({"success": True, "job": _format_job(updated)}, indent=2)
if normalized in {"run", "run_now", "trigger"}:
updated = trigger_job(job_id)
return json.dumps({"success": True, "job": _format_job(updated)}, indent=2)
if normalized == "update":
updates: Dict[str, Any] = {}
if prompt is not None:
scan_error = _scan_cron_prompt(prompt)
if scan_error:
return json.dumps({"success": False, "error": scan_error}, indent=2)
updates["prompt"] = prompt
if name is not None:
updates["name"] = name
if deliver is not None:
updates["deliver"] = deliver
if skills is not None or skill is not None:
canonical_skills = _canonical_skills(skill, skills)
updates["skills"] = canonical_skills
updates["skill"] = canonical_skills[0] if canonical_skills else None
if repeat is not None:
repeat_state = dict(job.get("repeat") or {})
repeat_state["times"] = repeat
updates["repeat"] = repeat_state
if schedule is not None:
parsed_schedule = parse_schedule(schedule)
updates["schedule"] = parsed_schedule
updates["schedule_display"] = parsed_schedule.get("display", schedule)
if job.get("state") != "paused":
updates["state"] = "scheduled"
updates["enabled"] = True
if not updates:
return json.dumps({"success": False, "error": "No updates provided."}, indent=2)
updated = update_job(job_id, updates)
return json.dumps({"success": True, "job": _format_job(updated)}, indent=2)
return json.dumps({"success": False, "error": f"Unknown cron action '{action}'"}, indent=2)
except Exception as e:
return json.dumps({"success": False, "error": str(e)}, indent=2)
# ---------------------------------------------------------------------------
# Compatibility wrappers
# ---------------------------------------------------------------------------
def schedule_cronjob(
prompt: str,
@ -66,329 +271,104 @@ def schedule_cronjob(
name: Optional[str] = None,
repeat: Optional[int] = None,
deliver: Optional[str] = None,
task_id: str = None
task_id: str = None,
) -> str:
"""
Schedule an automated task to run the agent on a schedule.
IMPORTANT: When the cronjob runs, it starts a COMPLETELY FRESH session.
The agent will have NO memory of this conversation or any prior context.
Therefore, the prompt MUST contain ALL necessary information:
- Full context of what needs to be done
- Specific file paths, URLs, or identifiers
- Clear success criteria
- Any relevant background information
BAD prompt: "Check on that server issue"
GOOD prompt: "SSH into server 192.168.1.100 as user 'deploy', check if nginx
is running with 'systemctl status nginx', and verify the site
https://example.com returns HTTP 200. Report any issues found."
Args:
prompt: Complete, self-contained instructions for the future agent.
Must include ALL context needed - the agent won't remember anything.
schedule: When to run. Either:
- Duration for one-shot: "30m", "2h", "1d" (runs once)
- Interval: "every 30m", "every 2h" (recurring)
- Cron expression: "0 9 * * *" (daily at 9am)
- ISO timestamp: "2026-02-03T14:00:00" (one-shot at specific time)
name: Optional human-friendly name for the job (for listing/management)
repeat: How many times to run. Omit for default behavior:
- One-shot schedules default to repeat=1 (run once)
- Intervals/cron default to forever
- Set repeat=5 to run 5 times then auto-delete
deliver: Where to send the output. Options:
- "origin": Back to where this job was created (default)
- "local": Save to local files only (~/.hermes/cron/output/)
- "telegram": Send to Telegram home channel
- "discord": Send to Discord home channel
- "signal": Send to Signal home channel
- "telegram:123456": Send to specific chat ID
- "signal:+15551234567": Send to specific Signal number
Returns:
JSON with job_id, next_run time, and confirmation
"""
# Scan prompt for critical threats before scheduling
scan_error = _scan_cron_prompt(prompt)
if scan_error:
return json.dumps({"success": False, "error": scan_error}, indent=2)
# Get origin info from environment if available
origin = None
origin_platform = os.getenv("HERMES_SESSION_PLATFORM")
origin_chat_id = os.getenv("HERMES_SESSION_CHAT_ID")
if origin_platform and origin_chat_id:
origin = {
"platform": origin_platform,
"chat_id": origin_chat_id,
"chat_name": os.getenv("HERMES_SESSION_CHAT_NAME"),
}
try:
job = create_job(
prompt=prompt,
schedule=schedule,
name=name,
repeat=repeat,
deliver=deliver,
origin=origin
)
# Format repeat info for display
times = job["repeat"].get("times")
if times is None:
repeat_display = "forever"
elif times == 1:
repeat_display = "once"
else:
repeat_display = f"{times} times"
return json.dumps({
"success": True,
"job_id": job["id"],
"name": job["name"],
"schedule": job["schedule_display"],
"repeat": repeat_display,
"deliver": job.get("deliver", "local"),
"next_run_at": job["next_run_at"],
"message": f"Cronjob '{job['name']}' created. It will run {repeat_display}, deliver to {job.get('deliver', 'local')}, next at {job['next_run_at']}."
}, indent=2)
except Exception as e:
return json.dumps({
"success": False,
"error": str(e)
}, indent=2)
return cronjob(
action="create",
prompt=prompt,
schedule=schedule,
name=name,
repeat=repeat,
deliver=deliver,
task_id=task_id,
)
SCHEDULE_CRONJOB_SCHEMA = {
"name": "schedule_cronjob",
"description": """Schedule an automated task to run the agent on a schedule.
def list_cronjobs(include_disabled: bool = False, task_id: str = None) -> str:
return cronjob(action="list", include_disabled=include_disabled, task_id=task_id)
CRITICAL: The cronjob runs in a FRESH SESSION with NO CONTEXT from this conversation.
The prompt must be COMPLETELY SELF-CONTAINED with ALL necessary information including:
- Full context and background
- Specific file paths, URLs, server addresses
- Clear instructions and success criteria
- Any credentials or configuration details
The future agent will NOT remember anything from the current conversation.
def remove_cronjob(job_id: str, task_id: str = None) -> str:
return cronjob(action="remove", job_id=job_id, task_id=task_id)
SCHEDULE FORMATS:
- One-shot: "30m", "2h", "1d" (runs once after delay)
- Interval: "every 30m", "every 2h" (recurring)
- Cron: "0 9 * * *" (cron expression for precise scheduling)
- Timestamp: "2026-02-03T14:00:00" (specific date/time)
REPEAT BEHAVIOR:
- One-shot schedules: run once by default
- Intervals/cron: run forever by default
- Set repeat=N to run exactly N times then auto-delete
CRONJOB_SCHEMA = {
"name": "cronjob",
"description": """Manage scheduled cron jobs with a single compressed tool.
DELIVERY OPTIONS (where output goes):
- "origin": Back to current chat (default if in messaging platform)
- "local": Save to local files only (default if in CLI)
- "telegram": Send to Telegram home channel
- "discord": Send to Discord home channel
- "telegram:123456": Send to specific chat (if user provides ID)
Use action='create' to schedule a new job from a prompt or one or more skills.
Use action='list' to inspect jobs.
Use action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.
Jobs run in a fresh session with no current-chat context, so prompts must be self-contained.
If skill or skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.
On update, passing skills=[] clears attached skills.
NOTE: The agent's final response is auto-delivered to the target — do NOT use
send_message in the prompt for that same destination. Same-target send_message
calls are skipped so the cron doesn't double-message the user. Put the main
calls are skipped to avoid duplicate cron deliveries. Put the primary
user-facing content in the final response, and use send_message only for
additional or different targets.
Use for: reminders, periodic checks, scheduled reports, automated maintenance.""",
Important safety rule: cron-run sessions should not recursively schedule more cron jobs.""",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "Complete, self-contained instructions. Must include ALL context - the future agent will have NO memory of this conversation."
"description": "For create: the full self-contained prompt. If skill or skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "When to run: '30m' (once in 30min), 'every 30m' (recurring), '0 9 * * *' (cron), or ISO timestamp"
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name for the job"
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "How many times to run. Omit for default (once for one-shot, forever for recurring). Set to N for exactly N runs."
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Where to send output: 'origin' (back to this chat), 'local' (files only), 'telegram', 'discord', 'signal', or 'platform:chat_id'"
}
},
"required": ["prompt", "schedule"]
}
}
# =============================================================================
# Tool: list_cronjobs
# =============================================================================
def list_cronjobs(include_disabled: bool = False, task_id: str = None) -> str:
"""
List all scheduled cronjobs.
Returns information about each job including:
- Job ID (needed for removal)
- Name
- Schedule (human-readable)
- Repeat status (completed/total or 'forever')
- Next scheduled run time
- Last run time and status (if any)
Args:
include_disabled: Whether to include disabled/completed jobs
Returns:
JSON array of all scheduled jobs
"""
try:
jobs = list_jobs(include_disabled=include_disabled)
formatted_jobs = []
for job in jobs:
# Format repeat status
times = job["repeat"].get("times")
completed = job["repeat"].get("completed", 0)
if times is None:
repeat_status = "forever"
else:
repeat_status = f"{completed}/{times}"
formatted_jobs.append({
"job_id": job["id"],
"name": job["name"],
"prompt_preview": job["prompt"][:100] + "..." if len(job["prompt"]) > 100 else job["prompt"],
"schedule": job["schedule_display"],
"repeat": repeat_status,
"deliver": job.get("deliver", "local"),
"next_run_at": job.get("next_run_at"),
"last_run_at": job.get("last_run_at"),
"last_status": job.get("last_status"),
"enabled": job.get("enabled", True)
})
return json.dumps({
"success": True,
"count": len(formatted_jobs),
"jobs": formatted_jobs
}, indent=2)
except Exception as e:
return json.dumps({
"success": False,
"error": str(e)
}, indent=2)
LIST_CRONJOBS_SCHEMA = {
"name": "list_cronjobs",
"description": """List all scheduled cronjobs with their IDs, schedules, and status.
Use this to:
- See what jobs are currently scheduled
- Find job IDs for removal with remove_cronjob
- Check job status and next run times
Returns job_id, name, schedule, repeat status, next/last run times.""",
"parameters": {
"type": "object",
"properties": {
"description": "Delivery target: origin, local, telegram, discord, signal, or platform:chat_id"
},
"include_disabled": {
"type": "boolean",
"description": "Include disabled/completed jobs in the list (default: false)"
}
},
"required": []
}
}
# =============================================================================
# Tool: remove_cronjob
# =============================================================================
def remove_cronjob(job_id: str, task_id: str = None) -> str:
"""
Remove a scheduled cronjob by its ID.
Use list_cronjobs first to find the job_id of the job you want to remove.
Args:
job_id: The ID of the job to remove (from list_cronjobs output)
Returns:
JSON confirmation of removal
"""
try:
job = get_job(job_id)
if not job:
return json.dumps({
"success": False,
"error": f"Job with ID '{job_id}' not found. Use list_cronjobs to see available jobs."
}, indent=2)
removed = remove_job(job_id)
if removed:
return json.dumps({
"success": True,
"message": f"Cronjob '{job['name']}' (ID: {job_id}) has been removed.",
"removed_job": {
"id": job_id,
"name": job["name"],
"schedule": job["schedule_display"]
}
}, indent=2)
else:
return json.dumps({
"success": False,
"error": f"Failed to remove job '{job_id}'"
}, indent=2)
except Exception as e:
return json.dumps({
"success": False,
"error": str(e)
}, indent=2)
REMOVE_CRONJOB_SCHEMA = {
"name": "remove_cronjob",
"description": """Remove a scheduled cronjob by its ID.
Use list_cronjobs first to find the job_id of the job you want to remove.
Jobs that have completed their repeat count are auto-removed, but you can
use this to cancel a job before it completes.""",
"parameters": {
"type": "object",
"properties": {
"job_id": {
"description": "For list: include paused/completed jobs"
},
"skill": {
"type": "string",
"description": "The ID of the cronjob to remove (from list_cronjobs output)"
"description": "Optional single skill name to load before executing the cron prompt"
},
"skills": {
"type": "array",
"items": {"type": "string"},
"description": "Optional ordered list of skills to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"reason": {
"type": "string",
"description": "Optional pause reason"
}
},
"required": ["job_id"]
"required": ["action"]
}
}
# =============================================================================
# Requirements check
# =============================================================================
def check_cronjob_requirements() -> bool:
"""
Check if cronjob tools can be used.
Available in interactive CLI mode and gateway/messaging platforms.
Cronjobs are server-side scheduled tasks so they work from any interface.
"""
@ -399,66 +379,31 @@ def check_cronjob_requirements() -> bool:
)
# =============================================================================
# Exports
# =============================================================================
def get_cronjob_tool_definitions():
"""Return tool definitions for cronjob management."""
return [
SCHEDULE_CRONJOB_SCHEMA,
LIST_CRONJOBS_SCHEMA,
REMOVE_CRONJOB_SCHEMA
]
# For direct testing
if __name__ == "__main__":
# Test the tools
print("Testing schedule_cronjob:")
result = schedule_cronjob(
prompt="Test prompt for cron job",
schedule="5m",
name="Test Job"
)
print(result)
print("\nTesting list_cronjobs:")
result = list_cronjobs()
print(result)
return [CRONJOB_SCHEMA]
# --- Registry ---
from tools.registry import registry
registry.register(
name="schedule_cronjob",
name="cronjob",
toolset="cronjob",
schema=SCHEDULE_CRONJOB_SCHEMA,
handler=lambda args, **kw: schedule_cronjob(
prompt=args.get("prompt", ""),
schedule=args.get("schedule", ""),
schema=CRONJOB_SCHEMA,
handler=lambda args, **kw: cronjob(
action=args.get("action", ""),
job_id=args.get("job_id"),
prompt=args.get("prompt"),
schedule=args.get("schedule"),
name=args.get("name"),
repeat=args.get("repeat"),
deliver=args.get("deliver"),
task_id=kw.get("task_id")),
check_fn=check_cronjob_requirements,
)
registry.register(
name="list_cronjobs",
toolset="cronjob",
schema=LIST_CRONJOBS_SCHEMA,
handler=lambda args, **kw: list_cronjobs(
include_disabled=args.get("include_disabled", False),
task_id=kw.get("task_id")),
check_fn=check_cronjob_requirements,
)
registry.register(
name="remove_cronjob",
toolset="cronjob",
schema=REMOVE_CRONJOB_SCHEMA,
handler=lambda args, **kw: remove_cronjob(
job_id=args.get("job_id", ""),
task_id=kw.get("task_id")),
skill=args.get("skill"),
skills=args.get("skills"),
reason=args.get("reason"),
task_id=kw.get("task_id"),
),
check_fn=check_cronjob_requirements,
)

View file

@ -377,16 +377,11 @@ async def vision_analyze_tool(
def check_vision_requirements() -> bool:
"""Check if an auxiliary vision model is available."""
"""Check if the configured runtime vision path can resolve a client."""
try:
from agent.auxiliary_client import resolve_provider_client
client, _ = resolve_provider_client("openrouter")
if client is not None:
return True
client, _ = resolve_provider_client("nous")
if client is not None:
return True
client, _ = resolve_provider_client("custom")
from agent.auxiliary_client import resolve_vision_provider_client
_provider, client, _model = resolve_vision_provider_client()
return client is not None
except Exception:
return False

View file

@ -57,7 +57,7 @@ _HERMES_CORE_TOOLS = [
# Code execution + delegation
"execute_code", "delegate_task",
# Cronjob management
"schedule_cronjob", "list_cronjobs", "remove_cronjob",
"cronjob",
# Cross-platform messaging (gated on gateway running via check_fn)
"send_message",
# Honcho memory tools (gated on honcho being active via check_fn)
@ -125,8 +125,8 @@ TOOLSETS = {
},
"cronjob": {
"description": "Cronjob management tools - schedule, list, and remove automated tasks",
"tools": ["schedule_cronjob", "list_cronjobs", "remove_cronjob"],
"description": "Cronjob management tool - create, list, update, pause, resume, remove, and trigger scheduled tasks",
"tools": ["cronjob"],
"includes": []
},

View file

@ -0,0 +1,424 @@
---
sidebar_position: 5
title: "Adding Providers"
description: "How to add a new inference provider to Hermes Agent — auth, runtime resolution, CLI flows, adapters, tests, and docs"
---
# Adding Providers
Hermes can already talk to any OpenAI-compatible endpoint through the custom provider path. Do not add a built-in provider unless you want first-class UX for that service:
- provider-specific auth or token refresh
- a curated model catalog
- setup / `hermes model` menu entries
- provider aliases for `provider:model` syntax
- a non-OpenAI API shape that needs an adapter
If the provider is just "another OpenAI-compatible base URL and API key", a named custom provider may be enough.
## The mental model
A built-in provider has to line up across a few layers:
1. `hermes_cli/auth.py` decides how credentials are found.
2. `hermes_cli/runtime_provider.py` turns that into runtime data:
- `provider`
- `api_mode`
- `base_url`
- `api_key`
- `source`
3. `run_agent.py` uses `api_mode` to decide how requests are built and sent.
4. `hermes_cli/models.py`, `hermes_cli/main.py`, and `hermes_cli/setup.py` make the provider show up in the CLI.
5. `agent/auxiliary_client.py` and `agent/model_metadata.py` keep side tasks and token budgeting working.
The important abstraction is `api_mode`.
- Most providers use `chat_completions`.
- Codex uses `codex_responses`.
- Anthropic uses `anthropic_messages`.
- A new non-OpenAI protocol usually means adding a new adapter and a new `api_mode` branch.
## Choose the implementation path first
### Path A — OpenAI-compatible provider
Use this when the provider accepts standard chat-completions style requests.
Typical work:
- add auth metadata
- add model catalog / aliases
- add runtime resolution
- add CLI menu wiring
- add aux-model defaults
- add tests and user docs
You usually do not need a new adapter or a new `api_mode`.
### Path B — Native provider
Use this when the provider does not behave like OpenAI chat completions.
Examples in-tree today:
- `codex_responses`
- `anthropic_messages`
This path includes everything from Path A plus:
- a provider adapter in `agent/`
- `run_agent.py` branches for request building, dispatch, usage extraction, interrupt handling, and response normalization
- adapter tests
## File checklist
### Required for every built-in provider
1. `hermes_cli/auth.py`
2. `hermes_cli/models.py`
3. `hermes_cli/runtime_provider.py`
4. `hermes_cli/main.py`
5. `hermes_cli/setup.py`
6. `agent/auxiliary_client.py`
7. `agent/model_metadata.py`
8. tests
9. user-facing docs under `website/docs/`
### Additional for native / non-OpenAI providers
10. `agent/<provider>_adapter.py`
11. `run_agent.py`
12. `pyproject.toml` if a provider SDK is required
## Step 1: Pick one canonical provider id
Choose a single provider id and use it everywhere.
Examples from the repo:
- `openai-codex`
- `kimi-coding`
- `minimax-cn`
That same id should appear in:
- `PROVIDER_REGISTRY` in `hermes_cli/auth.py`
- `_PROVIDER_LABELS` in `hermes_cli/models.py`
- `_PROVIDER_ALIASES` in both `hermes_cli/auth.py` and `hermes_cli/models.py`
- CLI `--provider` choices in `hermes_cli/main.py`
- setup / model selection branches
- auxiliary-model defaults
- tests
If the id differs between those files, the provider will feel half-wired: auth may work while `/model`, setup, or runtime resolution silently misses it.
## Step 2: Add auth metadata in `hermes_cli/auth.py`
For API-key providers, add a `ProviderConfig` entry to `PROVIDER_REGISTRY` with:
- `id`
- `name`
- `auth_type="api_key"`
- `inference_base_url`
- `api_key_env_vars`
- optional `base_url_env_var`
Also add aliases to `_PROVIDER_ALIASES`.
Use the existing providers as templates:
- simple API-key path: Z.AI, MiniMax
- API-key path with endpoint detection: Kimi, Z.AI
- native token resolution: Anthropic
- OAuth / auth-store path: Nous, OpenAI Codex
Questions to answer here:
- What env vars should Hermes check, and in what priority order?
- Does the provider need base-URL overrides?
- Does it need endpoint probing or token refresh?
- What should the auth error say when credentials are missing?
If the provider needs something more than "look up an API key", add a dedicated credential resolver instead of shoving logic into unrelated branches.
## Step 3: Add model catalog and aliases in `hermes_cli/models.py`
Update the provider catalog so the provider works in menus and in `provider:model` syntax.
Typical edits:
- `_PROVIDER_MODELS`
- `_PROVIDER_LABELS`
- `_PROVIDER_ALIASES`
- provider display order inside `list_available_providers()`
- `provider_model_ids()` if the provider supports a live `/models` fetch
If the provider exposes a live model list, prefer that first and keep `_PROVIDER_MODELS` as the static fallback.
This file is also what makes inputs like these work:
```text
anthropic:claude-sonnet-4-6
kimi:model-name
```
If aliases are missing here, the provider may authenticate correctly but still fail in `/model` parsing.
## Step 4: Resolve runtime data in `hermes_cli/runtime_provider.py`
`resolve_runtime_provider()` is the shared path used by CLI, gateway, cron, ACP, and helper clients.
Add a branch that returns a dict with at least:
```python
{
"provider": "your-provider",
"api_mode": "chat_completions", # or your native mode
"base_url": "https://...",
"api_key": "...",
"source": "env|portal|auth-store|explicit",
"requested_provider": requested_provider,
}
```
If the provider is OpenAI-compatible, `api_mode` should usually stay `chat_completions`.
Be careful with API-key precedence. Hermes already contains logic to avoid leaking an OpenRouter key to unrelated endpoints. A new provider should be equally explicit about which key goes to which base URL.
## Step 5: Wire the CLI in `hermes_cli/main.py` and `hermes_cli/setup.py`
A provider is not discoverable until it shows up in the interactive flows.
Update:
### `hermes_cli/main.py`
- `provider_labels`
- provider dispatch inside the `model` command
- `--provider` argument choices
- login/logout choices if the provider supports those flows
- a `_model_flow_<provider>()` function, or reuse `_model_flow_api_key_provider()` if it fits
### `hermes_cli/setup.py`
- `provider_choices`
- auth branch for the provider
- model-selection branch
- any provider-specific explanatory text
- any place where a provider should be excluded from OpenRouter-only prompts or routing settings
If you only update one of these files, `hermes model` and `hermes setup` will drift.
## Step 6: Keep auxiliary calls working
Two files matter here:
### `agent/auxiliary_client.py`
Add a cheap / fast default aux model to `_API_KEY_PROVIDER_AUX_MODELS` if this is a direct API-key provider.
Auxiliary tasks include things like:
- vision summarization
- web extraction summarization
- context compression summaries
- session-search summaries
- memory flushes
If the provider has no sensible aux default, side tasks may fall back badly or use an expensive main model unexpectedly.
### `agent/model_metadata.py`
Add context lengths for the provider's models so token budgeting, compression thresholds, and limits stay sane.
## Step 7: If the provider is native, add an adapter and `run_agent.py` support
If the provider is not plain chat completions, isolate the provider-specific logic in `agent/<provider>_adapter.py`.
Keep `run_agent.py` focused on orchestration. It should call adapter helpers, not hand-build provider payloads inline all over the file.
A native provider usually needs work in these places:
### New adapter file
Typical responsibilities:
- build the SDK / HTTP client
- resolve tokens
- convert OpenAI-style conversation messages to the provider's request format
- convert tool schemas if needed
- normalize provider responses back into what `run_agent.py` expects
- extract usage and finish-reason data
### `run_agent.py`
Search for `api_mode` and audit every switch point. At minimum, verify:
- `__init__` chooses the new `api_mode`
- client construction works for the provider
- `_build_api_kwargs()` knows how to format requests
- `_api_call_with_interrupt()` dispatches to the right client call
- interrupt / client rebuild paths work
- response validation accepts the provider's shape
- finish-reason extraction is correct
- token-usage extraction is correct
- fallback-model activation can switch into the new provider cleanly
- summary-generation and memory-flush paths still work
Also search `run_agent.py` for `self.client.`. Any code path that assumes the standard OpenAI client exists can break when a native provider uses a different client object or `self.client = None`.
### Prompt caching and provider-specific request fields
Prompt caching and provider-specific knobs are easy to regress.
Examples already in-tree:
- Anthropic has a native prompt-caching path
- OpenRouter gets provider-routing fields
- not every provider should receive every request-side option
When you add a native provider, double-check that Hermes is only sending fields that provider actually understands.
## Step 8: Tests
At minimum, touch the tests that guard provider wiring.
Common places:
- `tests/test_runtime_provider_resolution.py`
- `tests/test_cli_provider_resolution.py`
- `tests/test_cli_model_command.py`
- `tests/test_setup_model_selection.py`
- `tests/test_provider_parity.py`
- `tests/test_run_agent.py`
- `tests/test_<provider>_adapter.py` for a native provider
For docs-only examples, the exact file set may differ. The point is to cover:
- auth resolution
- CLI menu / provider selection
- runtime provider resolution
- agent execution path
- provider:model parsing
- any adapter-specific message conversion
Run tests with xdist disabled:
```bash
source .venv/bin/activate
python -m pytest tests/test_runtime_provider_resolution.py tests/test_cli_provider_resolution.py tests/test_cli_model_command.py tests/test_setup_model_selection.py -n0 -q
```
For deeper changes, run the full suite before pushing:
```bash
source .venv/bin/activate
python -m pytest tests/ -n0 -q
```
## Step 9: Live verification
After tests, run a real smoke test.
```bash
source .venv/bin/activate
python -m hermes_cli.main chat -q "Say hello" --provider your-provider --model your-model
```
Also test the interactive flows if you changed menus:
```bash
source .venv/bin/activate
python -m hermes_cli.main model
python -m hermes_cli.main setup
```
For native providers, verify at least one tool call too, not just a plain text response.
## Step 10: Update user-facing docs
If the provider is meant to ship as a first-class option, update the user docs too:
- `website/docs/getting-started/quickstart.md`
- `website/docs/user-guide/configuration.md`
- `website/docs/reference/environment-variables.md`
A developer can wire the provider perfectly and still leave users unable to discover the required env vars or setup flow.
## OpenAI-compatible provider checklist
Use this if the provider is standard chat completions.
- [ ] `ProviderConfig` added in `hermes_cli/auth.py`
- [ ] aliases added in `hermes_cli/auth.py` and `hermes_cli/models.py`
- [ ] model catalog added in `hermes_cli/models.py`
- [ ] runtime branch added in `hermes_cli/runtime_provider.py`
- [ ] CLI wiring added in `hermes_cli/main.py`
- [ ] setup wiring added in `hermes_cli/setup.py`
- [ ] aux model added in `agent/auxiliary_client.py`
- [ ] context lengths added in `agent/model_metadata.py`
- [ ] runtime / CLI tests updated
- [ ] user docs updated
## Native provider checklist
Use this when the provider needs a new protocol path.
- [ ] everything in the OpenAI-compatible checklist
- [ ] adapter added in `agent/<provider>_adapter.py`
- [ ] new `api_mode` supported in `run_agent.py`
- [ ] interrupt / rebuild path works
- [ ] usage and finish-reason extraction works
- [ ] fallback path works
- [ ] adapter tests added
- [ ] live smoke test passes
## Common pitfalls
### 1. Adding the provider to auth but not to model parsing
That makes credentials resolve correctly while `/model` and `provider:model` inputs fail.
### 2. Forgetting that `config["model"]` can be a string or a dict
A lot of provider-selection code has to normalize both forms.
### 3. Assuming a built-in provider is required
If the service is just OpenAI-compatible, a custom provider may already solve the user problem with less maintenance.
### 4. Forgetting auxiliary paths
The main chat path can work while summarization, memory flushes, or vision helpers fail because aux routing was never updated.
### 5. Native-provider branches hiding in `run_agent.py`
Search for `api_mode` and `self.client.`. Do not assume the obvious request path is the only one.
### 6. Sending OpenRouter-only knobs to other providers
Fields like provider routing belong only on the providers that support them.
### 7. Updating `hermes model` but not `hermes setup`
Both flows need to know about the provider.
## Good search targets while implementing
If you are hunting for all the places a provider touches, search these symbols:
- `PROVIDER_REGISTRY`
- `_PROVIDER_ALIASES`
- `_PROVIDER_MODELS`
- `resolve_runtime_provider`
- `_model_flow_`
- `provider_choices`
- `api_mode`
- `_API_KEY_PROVIDER_AUX_MODELS`
- `self.client.`
## Related docs
- [Provider Runtime Resolution](./provider-runtime.md)
- [Architecture](./architecture.md)
- [Contributing](./contributing.md)

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@ -41,12 +41,13 @@ If you are new to the codebase, read in this order:
2. [Agent Loop Internals](./agent-loop.md)
3. [Prompt Assembly](./prompt-assembly.md)
4. [Provider Runtime Resolution](./provider-runtime.md)
5. [Tools Runtime](./tools-runtime.md)
6. [Session Storage](./session-storage.md)
7. [Gateway Internals](./gateway-internals.md)
8. [Context Compression & Prompt Caching](./context-compression-and-caching.md)
9. [ACP Internals](./acp-internals.md)
10. [Environments, Benchmarks & Data Generation](./environments.md)
5. [Adding Providers](./adding-providers.md)
6. [Tools Runtime](./tools-runtime.md)
7. [Session Storage](./session-storage.md)
8. [Gateway Internals](./gateway-internals.md)
9. [Context Compression & Prompt Caching](./context-compression-and-caching.md)
10. [ACP Internals](./acp-internals.md)
11. [Environments, Benchmarks & Data Generation](./environments.md)
## Major subsystems

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@ -20,6 +20,12 @@ We value contributions in this order:
6. **New tools** — rarely needed; most capabilities should be skills
7. **Documentation** — fixes, clarifications, new examples
## Common contribution paths
- Building a new tool? Start with [Adding Tools](./adding-tools.md)
- Building a new skill? Start with [Creating Skills](./creating-skills.md)
- Building a new inference provider? Start with [Adding Providers](./adding-providers.md)
## Development Setup
### Prerequisites

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@ -1,7 +1,7 @@
---
sidebar_position: 11
title: "Cron Internals"
description: "How Hermes stores, schedules, locks, and delivers cron jobs"
description: "How Hermes stores, schedules, edits, pauses, skill-loads, and delivers cron jobs"
---
# Cron Internals
@ -10,7 +10,9 @@ Hermes cron support is implemented primarily in:
- `cron/jobs.py`
- `cron/scheduler.py`
- `tools/cronjob_tools.py`
- `gateway/run.py`
- `hermes_cli/cron.py`
## Scheduling model
@ -21,9 +23,30 @@ Hermes supports:
- cron expressions
- explicit timestamps
The model-facing surface is a single `cronjob` tool with action-style operations:
- `create`
- `list`
- `update`
- `pause`
- `resume`
- `run`
- `remove`
## Job storage
Cron jobs are stored in Hermes-managed local state with atomic save/update semantics.
Cron jobs are stored in Hermes-managed local state (`~/.hermes/cron/jobs.json`) with atomic write semantics.
Each job can carry:
- prompt
- schedule metadata
- repeat counters
- delivery target
- lifecycle state (`scheduled`, `paused`, `completed`, etc.)
- zero, one, or multiple attached skills
Backward compatibility is preserved for older jobs that only stored a legacy single `skill` field or none of the newer lifecycle fields.
## Runtime behavior
@ -32,11 +55,22 @@ The scheduler:
- loads jobs
- computes due work
- executes jobs in fresh agent sessions
- optionally injects one or more skills before the prompt
- handles repeat counters
- updates next-run metadata
- updates next-run metadata and state
In gateway mode, cron ticking is integrated into the long-running gateway loop.
## Skill-backed jobs
A cron job may attach multiple skills. At runtime, Hermes loads those skills in order and then appends the job prompt as the task instruction.
This gives scheduled jobs reusable guidance without requiring the user to paste full skill bodies into the cron prompt.
## Recursion guard
Cron-run sessions disable the `cronjob` toolset. This prevents a scheduled job from recursively creating or mutating more cron jobs and accidentally exploding token usage or scheduler load.
## Delivery model
Cron jobs can deliver to:
@ -48,7 +82,7 @@ Cron jobs can deliver to:
## Locking
Hermes uses lock-based protections so concurrent cron ticks or overlapping scheduler processes do not corrupt job state.
Hermes uses lock-based protections so overlapping scheduler ticks do not execute the same due-job batch twice.
## Related docs

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@ -20,6 +20,8 @@ Primary implementation:
- `hermes_cli/auth.py`
- `agent/auxiliary_client.py`
If you are trying to add a new first-class inference provider, read [Adding Providers](./adding-providers.md) alongside this page.
## Resolution precedence
At a high level, provider resolution uses:
@ -84,6 +86,13 @@ When provider resolution selects `anthropic`, Hermes uses:
- the native Anthropic Messages API
- `agent/anthropic_adapter.py` for translation
Credential resolution for native Anthropic now prefers refreshable Claude Code credentials over copied env tokens when both are present. In practice that means:
- Claude Code credential files are treated as the preferred source when they include refreshable auth
- manual `ANTHROPIC_TOKEN` / `CLAUDE_CODE_OAUTH_TOKEN` values still work as explicit overrides
- Hermes preflights Anthropic credential refresh before native Messages API calls
- Hermes still retries once on a 401 after rebuilding the Anthropic client, as a fallback path
## OpenAI Codex path
Codex uses a separate Responses API path:

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@ -119,6 +119,7 @@ uv pip install -e "."
| `cli` | Terminal menu UI for setup wizard | `uv pip install -e ".[cli]"` |
| `modal` | Modal cloud execution backend | `uv pip install -e ".[modal]"` |
| `tts-premium` | ElevenLabs premium voices | `uv pip install -e ".[tts-premium]"` |
| `voice` | CLI microphone input + audio playback | `uv pip install -e ".[voice]"` |
| `pty` | PTY terminal support | `uv pip install -e ".[pty]"` |
| `honcho` | AI-native memory (Honcho integration) | `uv pip install -e ".[honcho]"` |
| `mcp` | Model Context Protocol support | `uv pip install -e ".[mcp]"` |

View file

@ -43,7 +43,7 @@ hermes setup # Or configure everything at once
|----------|-----------|---------------|
| **Nous Portal** | Subscription-based, zero-config | OAuth login via `hermes model` |
| **OpenAI Codex** | ChatGPT OAuth, uses Codex models | Device code auth via `hermes model` |
| **Anthropic** | Claude models directly (Pro/Max or API key) | API key or Claude Code setup-token |
| **Anthropic** | Claude models directly (Pro/Max or API key) | `hermes model` with Claude Code auth, or an Anthropic API key |
| **OpenRouter** | Multi-provider routing across many models | Enter your API key |
| **Z.AI** | GLM / Zhipu-hosted models | Set `GLM_API_KEY` / `ZAI_API_KEY` |
| **Kimi / Moonshot** | Moonshot-hosted coding and chat models | Set `KIMI_API_KEY` |
@ -129,6 +129,25 @@ Chat with Hermes from your phone or other surfaces via Telegram, Discord, Slack,
hermes gateway setup # Interactive platform configuration
```
### Add voice mode
Want microphone input in the CLI or spoken replies in messaging?
```bash
pip install hermes-agent[voice]
# Optional but recommended for free local speech-to-text
pip install faster-whisper
```
Then start Hermes and enable it inside the CLI:
```text
/voice on
```
Press `Ctrl+B` to record, or use `/voice tts` to have Hermes speak its replies. See [Voice Mode](../user-guide/features/voice-mode.md) for the full setup across CLI, Telegram, Discord, and Discord voice channels.
### Schedule automated tasks
```

View file

@ -99,7 +99,7 @@ and open source LLMs. Summarize the top 3 stories in a concise briefing
with links. Use a friendly, professional tone. Deliver to telegram.
```
Hermes will create the cron job for you using the `schedule_cronjob` tool.
Hermes will create the cron job for you using the unified `cronjob` tool.
### Option B: CLI Slash Command
@ -232,7 +232,7 @@ Or ask conversationally:
Remove my morning briefing cron job.
```
Hermes will use `list_cronjobs` to find it and `remove_cronjob` to delete it.
Hermes will use `cronjob(action="list")` to find it and `cronjob(action="remove")` to delete it.
### Check Gateway Status

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@ -181,12 +181,18 @@ hermes status [--all] [--deep]
## `hermes cron`
```bash
hermes cron <list|status|tick>
hermes cron <list|create|edit|pause|resume|run|remove|status|tick>
```
| Subcommand | Description |
|------------|-------------|
| `list` | Show scheduled jobs. |
| `create` / `add` | Create a scheduled job from a prompt, optionally attaching one or more skills via repeated `--skill`. |
| `edit` | Update a job's schedule, prompt, name, delivery, repeat count, or attached skills. Supports `--clear-skills`, `--add-skill`, and `--remove-skill`. |
| `pause` | Pause a job without deleting it. |
| `resume` | Resume a paused job and compute its next future run. |
| `run` | Trigger a job on the next scheduler tick. |
| `remove` | Delete a scheduled job. |
| `status` | Check whether the cron scheduler is running. |
| `tick` | Run due jobs once and exit. |

View file

@ -26,16 +26,18 @@ All variables go in `~/.hermes/.env`. You can also set them with `hermes config
| `MINIMAX_BASE_URL` | Override MiniMax base URL (default: `https://api.minimax.io/v1`) |
| `MINIMAX_CN_API_KEY` | MiniMax API key — China endpoint ([minimaxi.com](https://www.minimaxi.com)) |
| `MINIMAX_CN_BASE_URL` | Override MiniMax China base URL (default: `https://api.minimaxi.com/v1`) |
| `ANTHROPIC_API_KEY` | Anthropic API key or setup-token ([console.anthropic.com](https://console.anthropic.com/)) |
| `ANTHROPIC_TOKEN` | Anthropic OAuth/setup token (alternative to `ANTHROPIC_API_KEY`) |
| `CLAUDE_CODE_OAUTH_TOKEN` | Claude Code setup-token (same as `ANTHROPIC_TOKEN`) |
| `ANTHROPIC_API_KEY` | Anthropic Console API key ([console.anthropic.com](https://console.anthropic.com/)) |
| `ANTHROPIC_TOKEN` | Manual or legacy Anthropic OAuth/setup-token override |
| `CLAUDE_CODE_OAUTH_TOKEN` | Explicit Claude Code token override if you export one manually |
| `HERMES_MODEL` | Preferred model name (checked before `LLM_MODEL`, used by gateway) |
| `LLM_MODEL` | Default model name (fallback when not set in config.yaml) |
| `VOICE_TOOLS_OPENAI_KEY` | OpenAI key for TTS and voice transcription (separate from custom endpoint) |
| `VOICE_TOOLS_OPENAI_KEY` | OpenAI key for OpenAI speech-to-text and text-to-speech providers |
| `HERMES_HOME` | Override Hermes config directory (default: `~/.hermes`) |
## Provider Auth (OAuth)
For native Anthropic auth, Hermes prefers Claude Code's own credential files when they exist because those credentials can refresh automatically. Environment variables such as `ANTHROPIC_TOKEN` remain useful as manual overrides, but they are no longer the preferred path for Claude Pro/Max login.
| Variable | Description |
|----------|-------------|
| `HERMES_INFERENCE_PROVIDER` | Override provider selection: `auto`, `openrouter`, `nous`, `openai-codex`, `anthropic`, `zai`, `kimi-coding`, `minimax`, `minimax-cn` (default: `auto`) |
@ -57,7 +59,12 @@ All variables go in `~/.hermes/.env`. You can also set them with `hermes config
| `BROWSERBASE_PROJECT_ID` | Browserbase project ID |
| `BROWSER_INACTIVITY_TIMEOUT` | Browser session inactivity timeout in seconds |
| `FAL_KEY` | Image generation ([fal.ai](https://fal.ai/)) |
| `ELEVENLABS_API_KEY` | Premium TTS voices ([elevenlabs.io](https://elevenlabs.io/)) |
| `GROQ_API_KEY` | Groq Whisper STT API key ([groq.com](https://groq.com/)) |
| `ELEVENLABS_API_KEY` | ElevenLabs premium TTS voices ([elevenlabs.io](https://elevenlabs.io/)) |
| `STT_GROQ_MODEL` | Override the Groq STT model (default: `whisper-large-v3-turbo`) |
| `GROQ_BASE_URL` | Override the Groq OpenAI-compatible STT endpoint |
| `STT_OPENAI_MODEL` | Override the OpenAI STT model (default: `whisper-1`) |
| `STT_OPENAI_BASE_URL` | Override the OpenAI-compatible STT endpoint |
| `HONCHO_API_KEY` | Cross-session user modeling ([honcho.dev](https://honcho.dev/)) |
| `TINKER_API_KEY` | RL training ([tinker-console.thinkingmachines.ai](https://tinker-console.thinkingmachines.ai/)) |
| `WANDB_API_KEY` | RL training metrics ([wandb.ai](https://wandb.ai/)) |

View file

@ -45,6 +45,7 @@ Type `/` in the CLI to open the autocomplete menu. Built-in commands are case-in
| `/verbose` | Cycle tool progress display: off → new → all → verbose |
| `/reasoning` | Manage reasoning effort and display (usage: /reasoning [level\|show\|hide]) |
| `/skin` | Show or change the display skin/theme |
| `/voice [on\|off\|tts\|status]` | Toggle CLI voice mode and spoken playback. Recording uses `voice.record_key` (default: `Ctrl+B`). |
### Tools & Skills
@ -53,7 +54,7 @@ Type `/` in the CLI to open the autocomplete menu. Built-in commands are case-in
| `/tools` | List available tools |
| `/toolsets` | List available toolsets |
| `/skills` | Search, install, inspect, or manage skills from online registries |
| `/cron` | Manage scheduled tasks (list, add, remove) |
| `/cron` | Manage scheduled tasks (list, add/create, edit, pause, resume, run, remove) |
| `/reload-mcp` | Reload MCP servers from config.yaml |
### Info
@ -105,6 +106,7 @@ The messaging gateway supports the following built-in commands inside Telegram,
| `/usage` | Show token usage for the current session. |
| `/insights [days]` | Show usage analytics. |
| `/reasoning [level\|show\|hide]` | Change reasoning effort or toggle reasoning display. |
| `/voice [on\|off\|tts\|join\|channel\|leave\|status]` | Control spoken replies in chat. `join`/`channel`/`leave` manage Discord voice-channel mode. |
| `/rollback [number]` | List or restore filesystem checkpoints. |
| `/background &lt;prompt&gt;` | Run a prompt in a separate background session. |
| `/reload-mcp` | Reload MCP servers from config. |
@ -116,4 +118,5 @@ The messaging gateway supports the following built-in commands inside Telegram,
- `/skin`, `/tools`, `/toolsets`, `/config`, `/prompt`, `/cron`, `/skills`, `/platforms`, `/paste`, and `/verbose` are **CLI-only** commands.
- `/status`, `/stop`, `/sethome`, `/resume`, `/background`, and `/update` are **messaging-only** commands.
- `/reload-mcp` and `/rollback` work in **both** the CLI and the messaging gateway.
- `/voice`, `/reload-mcp`, and `/rollback` work in **both** the CLI and the messaging gateway.
- `/voice join`, `/voice channel`, and `/voice leave` are only meaningful on Discord.

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@ -40,9 +40,7 @@ This page documents the built-in Hermes tool registry as it exists in code. Avai
| Tool | Description | Requires environment |
|------|-------------|----------------------|
| `list_cronjobs` | List all scheduled cronjobs with their IDs, schedules, and status. Use this to: - See what jobs are currently scheduled - Find job IDs for removal with remove_cronjob - Check job status and next run times Returns job_id, name, schedule, re… | — |
| `remove_cronjob` | Remove a scheduled cronjob by its ID. Use list_cronjobs first to find the job_id of the job you want to remove. Jobs that have completed their repeat count are auto-removed, but you can use this to cancel a job before it completes. | — |
| `schedule_cronjob` | Schedule an automated task to run the agent on a schedule. ⚠️ CRITICAL: The cronjob runs in a FRESH SESSION with NO CONTEXT from this conversation. The prompt must be COMPLETELY SELF-CONTAINED with ALL necessary information including: - Fu… | — |
| `cronjob` | Unified scheduled-task manager. Use `action="create"`, `"list"`, `"update"`, `"pause"`, `"resume"`, `"run"`, or `"remove"` to manage jobs. Supports skill-backed jobs with one or more attached skills, and `skills=[]` on update clears attached skills. Cron runs happen in fresh sessions with no current-chat context. | — |
## `delegation` toolset

View file

@ -13,19 +13,19 @@ Toolsets are named bundles of tools that you can enable with `hermes chat --tool
| `browser` | core | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `web_search` |
| `clarify` | core | `clarify` |
| `code_execution` | core | `execute_code` |
| `cronjob` | core | `list_cronjobs`, `remove_cronjob`, `schedule_cronjob` |
| `cronjob` | core | `cronjob` |
| `debugging` | composite | `patch`, `process`, `read_file`, `search_files`, `terminal`, `web_extract`, `web_search`, `write_file` |
| `delegation` | core | `delegate_task` |
| `file` | core | `patch`, `read_file`, `search_files`, `write_file` |
| `hermes-cli` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-discord` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-email` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-gateway` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-homeassistant` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-signal` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-slack` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-telegram` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-whatsapp` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `list_cronjobs`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `remove_cronjob`, `schedule_cronjob`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-cli` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-discord` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-email` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-gateway` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-homeassistant` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-signal` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-slack` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-telegram` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `hermes-whatsapp` | platform | `browser_back`, `browser_click`, `browser_close`, `browser_get_images`, `browser_navigate`, `browser_press`, `browser_scroll`, `browser_snapshot`, `browser_type`, `browser_vision`, `clarify`, `delegate_task`, `execute_code`, `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services`, `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search`, `image_generate`, `cronjob`, `memory`, `mixture_of_agents`, `patch`, `process`, `read_file`, `search_files`, `send_message`, `session_search`, `skill_manage`, `skill_view`, `skills_list`, `terminal`, `text_to_speech`, `todo`, `vision_analyze`, `web_extract`, `web_search`, `write_file` |
| `homeassistant` | core | `ha_call_service`, `ha_get_state`, `ha_list_entities`, `ha_list_services` |
| `honcho` | core | `honcho_conclude`, `honcho_context`, `honcho_profile`, `honcho_search` |
| `image_gen` | core | `image_generate` |

View file

@ -27,6 +27,10 @@ hermes chat --provider openrouter # Force OpenRouter
# With specific toolsets
hermes chat --toolsets "web,terminal,skills"
# Start with one or more skills preloaded
hermes -s hermes-agent-dev,github-auth
hermes chat -s github-pr-workflow -q "open a draft PR"
# Resume previous sessions
hermes --continue # Resume the most recent CLI session (-c)
hermes --resume <session_id> # Resume a specific session by ID (-r)
@ -77,6 +81,7 @@ When resuming a previous session (`hermes -c` or `hermes --resume <id>`), a "Pre
| `Alt+Enter` or `Ctrl+J` | New line (multi-line input) |
| `Alt+V` | Paste an image from the clipboard when supported by the terminal |
| `Ctrl+V` | Paste text and opportunistically attach clipboard images |
| `Ctrl+B` | Start/stop voice recording when voice mode is enabled (`voice.record_key`, default: `ctrl+b`) |
| `Ctrl+C` | Interrupt agent (double-press within 2s to force exit) |
| `Ctrl+D` | Exit |
| `Tab` | Autocomplete slash commands |
@ -95,11 +100,15 @@ Common examples:
| `/skills browse` | Browse the skills hub and official optional skills |
| `/background <prompt>` | Run a prompt in a separate background session |
| `/skin` | Show or switch the active CLI skin |
| `/voice on` | Enable CLI voice mode (press `Ctrl+B` to record) |
| `/voice tts` | Toggle spoken playback for Hermes replies |
| `/reasoning high` | Increase reasoning effort |
| `/title My Session` | Name the current session |
For the full built-in CLI and messaging lists, see [Slash Commands Reference](../reference/slash-commands.md).
For setup, providers, silence tuning, and messaging/Discord voice usage, see [Voice Mode](features/voice-mode.md).
:::tip
Commands are case-insensitive — `/HELP` works the same as `/help`. Installed skills also become slash commands automatically.
:::
@ -121,6 +130,17 @@ quick_commands:
Then type `/status` or `/gpu` in any chat. See the [Configuration guide](/docs/user-guide/configuration#quick-commands) for more examples.
## Preloading Skills at Launch
If you already know which skills you want active for the session, pass them at launch time:
```bash
hermes -s hermes-agent-dev,github-auth
hermes chat -s github-pr-workflow -s github-auth
```
Hermes loads each named skill into the session prompt before the first turn. The same flag works in interactive mode and single-query mode.
## Skill Slash Commands
Every installed skill in `~/.hermes/skills/` is automatically registered as a slash command. The skill name becomes the command:

View file

@ -63,7 +63,7 @@ You need at least one way to connect to an LLM. Use `hermes model` to switch pro
|----------|-------|
| **Nous Portal** | `hermes model` (OAuth, subscription-based) |
| **OpenAI Codex** | `hermes model` (ChatGPT OAuth, uses Codex models) |
| **Anthropic** | `hermes model` (API key, setup-token, or Claude Code auto-detect) |
| **Anthropic** | `hermes model` (Claude Pro/Max via Claude Code auth, Anthropic API key, or manual setup-token) |
| **OpenRouter** | `OPENROUTER_API_KEY` in `~/.hermes/.env` |
| **z.ai / GLM** | `GLM_API_KEY` in `~/.hermes/.env` (provider: `zai`) |
| **Kimi / Moonshot** | `KIMI_API_KEY` in `~/.hermes/.env` (provider: `kimi-coding`) |
@ -85,17 +85,23 @@ Use Claude models directly through the Anthropic API — no OpenRouter proxy nee
```bash
# With an API key (pay-per-token)
export ANTHROPIC_API_KEY=sk-ant-api03-...
export ANTHROPIC_API_KEY=***
hermes chat --provider anthropic --model claude-sonnet-4-6
# With a Claude Code setup-token (Pro/Max subscription)
export ANTHROPIC_API_KEY=sk-ant-oat01-... # from 'claude setup-token'
# Preferred: authenticate through `hermes model`
# Hermes will use Claude Code's credential store directly when available
hermes model
# Manual override with a setup-token (fallback / legacy)
export ANTHROPIC_TOKEN=*** # setup-token or manual OAuth token
hermes chat --provider anthropic
# Auto-detect Claude Code credentials (if you have Claude Code installed)
hermes chat --provider anthropic # reads ~/.claude.json automatically
# Auto-detect Claude Code credentials (if you already use Claude Code)
hermes chat --provider anthropic # reads Claude Code credential files automatically
```
When you choose Anthropic OAuth through `hermes model`, Hermes prefers Claude Code's own credential store over copying the token into `~/.hermes/.env`. That keeps refreshable Claude credentials refreshable.
Or set it permanently:
```yaml
model:
@ -695,6 +701,8 @@ tts:
voice: "alloy" # alloy, echo, fable, onyx, nova, shimmer
```
This controls both the `text_to_speech` tool and spoken replies in voice mode (`/voice tts` in the CLI or messaging gateway).
## Display Settings
```yaml
@ -719,10 +727,43 @@ display:
```yaml
stt:
provider: "openai" # STT provider
provider: "local" # "local" | "groq" | "openai"
local:
model: "base" # tiny, base, small, medium, large-v3
openai:
model: "whisper-1" # whisper-1 | gpt-4o-mini-transcribe | gpt-4o-transcribe
# model: "whisper-1" # Legacy fallback key still respected
```
Requires `VOICE_TOOLS_OPENAI_KEY` in `.env` for OpenAI STT.
Provider behavior:
- `local` uses `faster-whisper` running on your machine. Install it separately with `pip install faster-whisper`.
- `groq` uses Groq's Whisper-compatible endpoint and reads `GROQ_API_KEY`.
- `openai` uses the OpenAI speech API and reads `VOICE_TOOLS_OPENAI_KEY`.
If the requested provider is unavailable, Hermes falls back automatically in this order: `local``groq``openai`.
Groq and OpenAI model overrides are environment-driven:
```bash
STT_GROQ_MODEL=whisper-large-v3-turbo
STT_OPENAI_MODEL=whisper-1
GROQ_BASE_URL=https://api.groq.com/openai/v1
STT_OPENAI_BASE_URL=https://api.openai.com/v1
```
## Voice Mode (CLI)
```yaml
voice:
record_key: "ctrl+b" # Push-to-talk key inside the CLI
max_recording_seconds: 120 # Hard stop for long recordings
auto_tts: false # Enable spoken replies automatically when /voice on
silence_threshold: 200 # RMS threshold for speech detection
silence_duration: 3.0 # Seconds of silence before auto-stop
```
Use `/voice on` in the CLI to enable microphone mode, `record_key` to start/stop recording, and `/voice tts` to toggle spoken replies. See [Voice Mode](/docs/user-guide/features/voice-mode) for end-to-end setup and platform-specific behavior.
## Quick Commands

View file

@ -1,68 +1,183 @@
---
sidebar_position: 5
title: "Scheduled Tasks (Cron)"
description: "Schedule automated tasks with natural language — cron jobs, delivery options, and the gateway scheduler"
description: "Schedule automated tasks with natural language, manage them with one cron tool, and attach one or more skills"
---
# Scheduled Tasks (Cron)
Schedule tasks to run automatically with natural language or cron expressions. The agent can self-schedule using the `schedule_cronjob` tool from any platform.
Schedule tasks to run automatically with natural language or cron expressions. Hermes exposes cron management through a single `cronjob` tool with action-style operations instead of separate schedule/list/remove tools.
## Creating Scheduled Tasks
## What cron can do now
### In the CLI
Cron jobs can:
Use the `/cron` slash command:
- schedule one-shot or recurring tasks
- pause, resume, edit, trigger, and remove jobs
- attach zero, one, or multiple skills to a job
- deliver results back to the origin chat, local files, or configured platform targets
- run in fresh agent sessions with the normal static tool list
```
:::warning
Cron-run sessions cannot recursively create more cron jobs. Hermes disables cron management tools inside cron executions to prevent runaway scheduling loops.
:::
## Creating scheduled tasks
### In chat with `/cron`
```bash
/cron add 30m "Remind me to check the build"
/cron add "every 2h" "Check server status"
/cron add "0 9 * * *" "Morning briefing"
/cron list
/cron remove <job_id>
/cron add "every 1h" "Summarize new feed items" --skill blogwatcher
/cron add "every 1h" "Use both skills and combine the result" --skill blogwatcher --skill find-nearby
```
### Through Natural Conversation
Simply ask the agent on any platform:
### From the standalone CLI
```bash
hermes cron create "every 2h" "Check server status"
hermes cron create "every 1h" "Summarize new feed items" --skill blogwatcher
hermes cron create "every 1h" "Use both skills and combine the result" \
--skill blogwatcher \
--skill find-nearby \
--name "Skill combo"
```
### Through natural conversation
Ask Hermes normally:
```text
Every morning at 9am, check Hacker News for AI news and send me a summary on Telegram.
```
The agent will use the `schedule_cronjob` tool to set it up.
Hermes will use the unified `cronjob` tool internally.
## How It Works
## Skill-backed cron jobs
**Cron execution is handled by the gateway daemon.** The gateway ticks the scheduler every 60 seconds, running any due jobs in isolated agent sessions:
A cron job can load one or more skills before it runs the prompt.
### Single skill
```python
cronjob(
action="create",
skill="blogwatcher",
prompt="Check the configured feeds and summarize anything new.",
schedule="0 9 * * *",
name="Morning feeds",
)
```
### Multiple skills
Skills are loaded in order. The prompt becomes the task instruction layered on top of those skills.
```python
cronjob(
action="create",
skills=["blogwatcher", "find-nearby"],
prompt="Look for new local events and interesting nearby places, then combine them into one short brief.",
schedule="every 6h",
name="Local brief",
)
```
This is useful when you want a scheduled agent to inherit reusable workflows without stuffing the full skill text into the cron prompt itself.
## Editing jobs
You do not need to delete and recreate jobs just to change them.
### Chat
```bash
/cron edit <job_id> --schedule "every 4h"
/cron edit <job_id> --prompt "Use the revised task"
/cron edit <job_id> --skill blogwatcher --skill find-nearby
/cron edit <job_id> --remove-skill blogwatcher
/cron edit <job_id> --clear-skills
```
### Standalone CLI
```bash
hermes cron edit <job_id> --schedule "every 4h"
hermes cron edit <job_id> --prompt "Use the revised task"
hermes cron edit <job_id> --skill blogwatcher --skill find-nearby
hermes cron edit <job_id> --add-skill find-nearby
hermes cron edit <job_id> --remove-skill blogwatcher
hermes cron edit <job_id> --clear-skills
```
Notes:
- repeated `--skill` replaces the job's attached skill list
- `--add-skill` appends to the existing list without replacing it
- `--remove-skill` removes specific attached skills
- `--clear-skills` removes all attached skills
## Lifecycle actions
Cron jobs now have a fuller lifecycle than just create/remove.
### Chat
```bash
/cron list
/cron pause <job_id>
/cron resume <job_id>
/cron run <job_id>
/cron remove <job_id>
```
### Standalone CLI
```bash
hermes cron list
hermes cron pause <job_id>
hermes cron resume <job_id>
hermes cron run <job_id>
hermes cron remove <job_id>
hermes cron status
hermes cron tick
```
What they do:
- `pause` — keep the job but stop scheduling it
- `resume` — re-enable the job and compute the next future run
- `run` — trigger the job on the next scheduler tick
- `remove` — delete it entirely
## How it works
**Cron execution is handled by the gateway daemon.** The gateway ticks the scheduler every 60 seconds, running any due jobs in isolated agent sessions.
```bash
hermes gateway install # Install as system service (recommended)
hermes gateway # Or run in foreground
hermes cron list # View scheduled jobs
hermes cron status # Check if gateway is running
hermes cron list
hermes cron status
```
### The Gateway Scheduler
### Gateway scheduler behavior
The scheduler runs as a background thread inside the gateway process. On each tick (every 60 seconds):
On each tick Hermes:
1. It loads all jobs from `~/.hermes/cron/jobs.json`
2. Checks each enabled job's `next_run_at` against the current time
3. For each due job, spawns a fresh `AIAgent` session with the job's prompt
4. The agent runs to completion with full tool access
5. The final response is delivered to the configured target
6. The job's run count is incremented and next run time computed
7. Jobs that hit their repeat limit are auto-removed
1. loads jobs from `~/.hermes/cron/jobs.json`
2. checks `next_run_at` against the current time
3. starts a fresh `AIAgent` session for each due job
4. optionally injects one or more attached skills into that fresh session
5. runs the prompt to completion
6. delivers the final response
7. updates run metadata and the next scheduled time
A **file-based lock** (`~/.hermes/cron/.tick.lock`) prevents duplicate execution if multiple processes overlap (e.g., gateway + manual tick).
A file lock at `~/.hermes/cron/.tick.lock` prevents overlapping scheduler ticks from double-running the same job batch.
:::info
Even if no messaging platforms are configured, the gateway stays running for cron. A file lock prevents duplicate execution if multiple processes overlap.
:::
## Delivery Options
## Delivery options
When scheduling jobs, you specify where the output goes:
@ -70,48 +185,36 @@ When scheduling jobs, you specify where the output goes:
|--------|-------------|---------|
| `"origin"` | Back to where the job was created | Default on messaging platforms |
| `"local"` | Save to local files only (`~/.hermes/cron/output/`) | Default on CLI |
| `"telegram"` | Telegram home channel | Uses `TELEGRAM_HOME_CHANNEL` env var |
| `"discord"` | Discord home channel | Uses `DISCORD_HOME_CHANNEL` env var |
| `"telegram:123456"` | Specific Telegram chat by ID | For directing output to a specific chat |
| `"discord:987654"` | Specific Discord channel by ID | For directing output to a specific channel |
| `"telegram"` | Telegram home channel | Uses `TELEGRAM_HOME_CHANNEL` |
| `"discord"` | Discord home channel | Uses `DISCORD_HOME_CHANNEL` |
| `"telegram:123456"` | Specific Telegram chat by ID | Direct delivery |
| `"discord:987654"` | Specific Discord channel by ID | Direct delivery |
**How `"origin"` works:** When a job is created from a messaging platform, Hermes records the source platform and chat ID. When the job runs and deliver is `"origin"`, the output is sent back to that exact platform and chat. If origin info isn't available (e.g., job created from CLI), delivery falls back to local.
The agent's final response is automatically delivered. You do not need to call `send_message` in the cron prompt.
**How platform names work:** When you specify a bare platform name like `"telegram"`, Hermes first checks if the job's origin matches that platform and uses the origin chat ID. Otherwise, it falls back to the platform's home channel configured via environment variable (e.g., `TELEGRAM_HOME_CHANNEL`).
## Schedule formats
The agent's final response is automatically delivered — you do **not** need to include `send_message` in the cron prompt for that same destination. If a cron run calls `send_message` to the exact target the scheduler will already deliver to, Hermes skips that duplicate send and tells the model to put the user-facing content in the final response instead. Use `send_message` only for additional or different targets.
The agent knows your connected platforms and home channels — it'll choose sensible defaults.
### Relative delays (one-shot)
## Schedule Formats
### Relative Delays (One-Shot)
Run once after a delay:
```
```text
30m → Run once in 30 minutes
2h → Run once in 2 hours
1d → Run once in 1 day
```
Supported units: `m`/`min`/`minutes`, `h`/`hr`/`hours`, `d`/`day`/`days`.
### Intervals (recurring)
### Intervals (Recurring)
Run repeatedly at fixed intervals:
```
```text
every 30m → Every 30 minutes
every 2h → Every 2 hours
every 1d → Every day
```
### Cron Expressions
### Cron expressions
Standard 5-field cron syntax for precise scheduling:
```
```text
0 9 * * * → Daily at 9:00 AM
0 9 * * 1-5 → Weekdays at 9:00 AM
0 */6 * * * → Every 6 hours
@ -119,155 +222,63 @@ Standard 5-field cron syntax for precise scheduling:
0 0 * * 0 → Every Sunday at midnight
```
#### Cron Expression Cheat Sheet
### ISO timestamps
```
┌───── minute (0-59)
│ ┌───── hour (0-23)
│ │ ┌───── day of month (1-31)
│ │ │ ┌───── month (1-12)
│ │ │ │ ┌───── day of week (0-7, 0 and 7 = Sunday)
│ │ │ │ │
* * * * *
Special characters:
* Any value
, List separator (1,3,5)
- Range (1-5)
/ Step values (*/15 = every 15)
```
:::note
Cron expressions require the `croniter` Python package. Install with `pip install croniter` if not already available.
:::
### ISO Timestamps
Run once at a specific date/time:
```
```text
2026-03-15T09:00:00 → One-time at March 15, 2026 9:00 AM
```
## Repeat Behavior
## Repeat behavior
The `repeat` parameter controls how many times a job runs:
| Schedule Type | Default Repeat | Behavior |
| Schedule type | Default repeat | Behavior |
|--------------|----------------|----------|
| One-shot (`30m`, timestamp) | 1 (run once) | Runs once, then auto-deleted |
| Interval (`every 2h`) | Forever (`null`) | Runs indefinitely until removed |
| Cron expression | Forever (`null`) | Runs indefinitely until removed |
| One-shot (`30m`, timestamp) | 1 | Runs once |
| Interval (`every 2h`) | forever | Runs until removed |
| Cron expression | forever | Runs until removed |
You can override the default:
You can override it:
```python
schedule_cronjob(
cronjob(
action="create",
prompt="...",
schedule="every 2h",
repeat=5 # Run exactly 5 times, then auto-delete
repeat=5,
)
```
When a job hits its repeat limit, it is automatically removed from the job list.
## Managing jobs programmatically
## Real-World Examples
### Daily Standup Report
```
Schedule a daily standup report: Every weekday at 9am, check the GitHub
repository at github.com/myorg/myproject for:
1. Pull requests opened/merged in the last 24 hours
2. Issues created or closed
3. Any CI/CD failures on the main branch
Format as a brief standup-style summary. Deliver to telegram.
```
The agent creates:
```python
schedule_cronjob(
prompt="Check github.com/myorg/myproject for PRs, issues, and CI status from the last 24 hours. Format as a standup report.",
schedule="0 9 * * 1-5",
name="Daily Standup Report",
deliver="telegram"
)
```
### Weekly Backup Verification
```
Every Sunday at 2am, verify that backups exist in /data/backups/ for
each day of the past week. Check file sizes are > 1MB. Report any
gaps or suspiciously small files.
```
### Monitoring Alerts
```
Every 15 minutes, curl https://api.myservice.com/health and verify
it returns HTTP 200 with {"status": "ok"}. If it fails, include the
error details and response code. Deliver to telegram:123456789.
```
The agent-facing API is one tool:
```python
schedule_cronjob(
prompt="Run 'curl -s -o /dev/null -w \"%{http_code}\" https://api.myservice.com/health' and verify it returns 200. Also fetch the full response with 'curl -s https://api.myservice.com/health' and check for {\"status\": \"ok\"}. Report the result.",
schedule="every 15m",
name="API Health Check",
deliver="telegram:123456789"
)
cronjob(action="create", ...)
cronjob(action="list")
cronjob(action="update", job_id="...")
cronjob(action="pause", job_id="...")
cronjob(action="resume", job_id="...")
cronjob(action="run", job_id="...")
cronjob(action="remove", job_id="...")
```
### Periodic Disk Usage Check
For `update`, pass `skills=[]` to remove all attached skills.
```python
schedule_cronjob(
prompt="Check disk usage with 'df -h' and report any partitions above 80% usage. Also check Docker disk usage with 'docker system df' if Docker is installed.",
schedule="0 8 * * *",
name="Disk Usage Report",
deliver="origin"
)
```
## Job storage
## Managing Jobs
Jobs are stored in `~/.hermes/cron/jobs.json`. Output from job runs is saved to `~/.hermes/cron/output/{job_id}/{timestamp}.md`.
```bash
# CLI commands
hermes cron list # View all scheduled jobs
hermes cron status # Check if the scheduler is running
The storage uses atomic file writes so interrupted writes do not leave a partially written job file behind.
# Slash commands (inside chat)
/cron list
/cron remove <job_id>
```
The agent can also manage jobs conversationally:
- `list_cronjobs` — Shows all jobs with IDs, schedules, repeat status, and next run times
- `remove_cronjob` — Removes a job by ID (use `list_cronjobs` to find the ID)
## Job Storage
Jobs are stored as JSON in `~/.hermes/cron/jobs.json`. Output from job runs is saved to `~/.hermes/cron/output/{job_id}/{timestamp}.md`.
The storage uses atomic file writes (temp file + rename) to prevent corruption from concurrent access.
## Self-Contained Prompts
## Self-contained prompts still matter
:::warning Important
Cron job prompts run in a **completely fresh agent session** with zero memory of any prior conversation. The prompt must contain **everything** the agent needs:
- Full context and background
- Specific file paths, URLs, server addresses
- Clear instructions and success criteria
- Any credentials or configuration details
Cron jobs run in a completely fresh agent session. The prompt must contain everything the agent needs that is not already provided by attached skills.
:::
**BAD:** `"Check on that server issue"`
**GOOD:** `"SSH into server 192.168.1.100 as user 'deploy', check if nginx is running with 'systemctl status nginx', and verify https://example.com returns HTTP 200."`
:::
## Security
:::warning
Scheduled task prompts are scanned for instruction-override patterns (prompt injection). Jobs matching threat patterns like credential exfiltration, SSH backdoor attempts, or prompt injection are blocked at creation time. Content with invisible Unicode characters (zero-width spaces, directional overrides) is also rejected.
:::
Scheduled task prompts are scanned for prompt-injection and credential-exfiltration patterns at creation and update time. Prompts containing invisible Unicode tricks, SSH backdoor attempts, or obvious secret-exfiltration payloads are blocked.

View file

@ -22,7 +22,7 @@ High-level categories:
| **Media** | `vision_analyze`, `image_generate`, `text_to_speech` | Multimodal analysis and generation. |
| **Agent orchestration** | `todo`, `clarify`, `execute_code`, `delegate_task` | Planning, clarification, code execution, and subagent delegation. |
| **Memory & recall** | `memory`, `session_search`, `honcho_*` | Persistent memory, session search, and Honcho cross-session context. |
| **Automation & delivery** | `schedule_cronjob`, `send_message` | Scheduled tasks and outbound messaging delivery. |
| **Automation & delivery** | `cronjob`, `send_message` | Scheduled tasks with create/list/update/pause/resume/run/remove actions, plus outbound messaging delivery. |
| **Integrations** | `ha_*`, MCP server tools, `rl_*` | Home Assistant, MCP, RL training, and other integrations. |
For the authoritative code-derived registry, see [Built-in Tools Reference](/docs/reference/tools-reference) and [Toolsets Reference](/docs/reference/toolsets-reference).

View file

@ -15,7 +15,7 @@ If you want a practical setup walkthrough with recommended configurations and re
Before using voice features, make sure you have:
1. **Hermes Agent installed**`pip install hermes-agent` (see [Installation](/docs/getting-started/installation))
2. **An LLM provider configured**set `OPENAI_API_KEY`, `OPENAI_BASE_URL`, and `LLM_MODEL` in `~/.hermes/.env`
2. **An LLM provider configured**run `hermes model` or set your preferred provider credentials in `~/.hermes/.env`
3. **A working base setup** — run `hermes` to verify the agent responds to text before enabling voice
:::tip

View file

@ -210,7 +210,7 @@ Replace the ID with the actual channel ID (right-click → Copy Channel ID with
Hermes Agent supports Discord voice messages:
- **Incoming voice messages** are automatically transcribed using Whisper (requires `GROQ_API_KEY` or `VOICE_TOOLS_OPENAI_KEY` to be set in your environment).
- **Incoming voice messages** are automatically transcribed using the configured STT provider: local `faster-whisper` (no key), Groq Whisper (`GROQ_API_KEY`), or OpenAI Whisper (`VOICE_TOOLS_OPENAI_KEY`).
- **Text-to-speech**: Use `/voice tts` to have the bot send spoken audio responses alongside text replies.
- **Discord voice channels**: Hermes can also join a voice channel, listen to users speaking, and talk back in the channel.

View file

@ -13,27 +13,27 @@ For the full voice feature set — including CLI microphone mode, spoken replies
## Architecture
```text
┌───────────────────────────────────────────────────────────────────────────────┐
│ Hermes Gateway │
├───────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────┐ ┌─────────┐ ┌──────────┐ ┌───────┐ ┌───────┐ ┌───────┐ ┌────┐ │
│ │ Telegram │ │ Discord │ │ WhatsApp │ │ Slack │ │Signal │ │ Email │ │ HA │ │
│ │ Adapter │ │ Adapter │ │ Adapter │ │Adapter│ │Adapter│ │Adapter│ │Adpt│ │
│ └────┬─────┘ └────┬────┘ └────┬─────┘ └──┬────┘ └──┬────┘ └──┬────┘ └─┬──┘ │
│ │ │ │ │ │ │ │ │
│ └─────────────┴───────────┴───────────┴─────────┴─────────┴────────┘ │
│ │ │
│ ┌────────▼────────┐ │
│ │ Session Store │ │
│ │ (per-chat) │ │
│ └────────┬────────┘ │
│ │ │
│ ┌────────▼────────┐ │
│ │ AIAgent │ │
│ │ (run_agent) │ │
│ └─────────────────┘ │
│ │
┌───────────────────────────────────────────────────────────────────────────────────────
Hermes Gateway
├───────────────────────────────────────────────────────────────────────────────────────
│ ┌──────────┐ ┌─────────┐ ┌──────────┐ ┌───────┐ ┌───────┐ ┌───────┐ ┌────┐
│ │ Telegram │ │ Discord │ │ WhatsApp │ │ Slack │ │Signal │ │ Email │ │ HA │
│ │ Adapter │ │ Adapter │ │ Adapter │ │Adapter│ │Adapter│ │Adapter│ │Adpt│
│ └────┬─────┘ └────┬────┘ └────┬─────┘ └──┬────┘ └──┬────┘ └──┬────┘ └─┬──┘
│ │ │ │ │ │ │ │
│ └─────────────┴───────────┴───────────┴─────────┴─────────┴────────┘
│ │
│ ┌────────▼────────┐
│ │ Session Store │
│ │ (per-chat) │
│ └────────┬────────┘
│ │
│ ┌────────▼────────┐
│ │ AIAgent │
│ │ (run_agent) │
│ └─────────────────┘
└───────────────────────────────────────────────────────────────────────────────────────┘
```

View file

@ -224,7 +224,7 @@ Make sure the bot has been **invited to the channel** (`/invite @Hermes Agent`).
Hermes supports voice on Slack:
- **Incoming:** Voice/audio messages are automatically transcribed using Whisper (requires `VOICE_TOOLS_OPENAI_KEY`)
- **Incoming:** Voice/audio messages are automatically transcribed using the configured STT provider: local `faster-whisper`, Groq Whisper (`GROQ_API_KEY`), or OpenAI Whisper (`VOICE_TOOLS_OPENAI_KEY`)
- **Outgoing:** TTS responses are sent as audio file attachments
---

View file

@ -131,7 +131,11 @@ Group chat IDs are negative numbers (e.g., `-1001234567890`). Your personal DM c
### Incoming Voice (Speech-to-Text)
Voice messages you send on Telegram are automatically transcribed using OpenAI's Whisper API and injected as text into the conversation. This requires `VOICE_TOOLS_OPENAI_KEY` in `~/.hermes/.env`.
Voice messages you send on Telegram are automatically transcribed by Hermes's configured STT provider and injected as text into the conversation.
- `local` uses `faster-whisper` on the machine running Hermes — no API key required
- `groq` uses Groq Whisper and requires `GROQ_API_KEY`
- `openai` uses OpenAI Whisper and requires `VOICE_TOOLS_OPENAI_KEY`
### Outgoing Voice (Text-to-Speech)
@ -173,7 +177,7 @@ Hermes Agent works in Telegram group chats with a few considerations:
| Bot not responding at all | Verify `TELEGRAM_BOT_TOKEN` is correct. Check `hermes gateway` logs for errors. |
| Bot responds with "unauthorized" | Your user ID is not in `TELEGRAM_ALLOWED_USERS`. Double-check with @userinfobot. |
| Bot ignores group messages | Privacy mode is likely on. Disable it (Step 3) or make the bot a group admin. **Remember to remove and re-add the bot after changing privacy.** |
| Voice messages not transcribed | Check that `VOICE_TOOLS_OPENAI_KEY` is set and valid in `~/.hermes/.env`. |
| Voice messages not transcribed | Verify STT is available: install `faster-whisper` for local transcription, or set `GROQ_API_KEY` / `VOICE_TOOLS_OPENAI_KEY` in `~/.hermes/.env`. |
| Voice replies are files, not bubbles | Install `ffmpeg` (needed for Edge TTS Opus conversion). |
| Bot token revoked/invalid | Generate a new token via `/revoke` then `/newbot` or `/token` in BotFather. Update your `.env` file. |

View file

@ -137,7 +137,7 @@ with reconnection logic.
Hermes supports voice on WhatsApp:
- **Incoming:** Voice messages (`.ogg` opus) are automatically transcribed using Whisper (requires `VOICE_TOOLS_OPENAI_KEY`)
- **Incoming:** Voice messages (`.ogg` opus) are automatically transcribed using the configured STT provider: local `faster-whisper`, Groq Whisper (`GROQ_API_KEY`), or OpenAI Whisper (`VOICE_TOOLS_OPENAI_KEY`)
- **Outgoing:** TTS responses are sent as MP3 audio file attachments
- Agent responses are prefixed with "⚕ **Hermes Agent**" for easy identification

View file

@ -76,6 +76,7 @@ const sidebars: SidebarsConfig = {
type: 'category',
label: 'Web & Media',
items: [
'user-guide/features/voice-mode',
'user-guide/features/browser',
'user-guide/features/vision',
'user-guide/features/image-generation',
@ -109,6 +110,7 @@ const sidebars: SidebarsConfig = {
'developer-guide/architecture',
'developer-guide/agent-loop',
'developer-guide/provider-runtime',
'developer-guide/adding-providers',
'developer-guide/prompt-assembly',
'developer-guide/context-compression-and-caching',
'developer-guide/gateway-internals',