Endpoint validated over 6 conversational turns with tool calls (9 API
calls, 3 tool calls, 0 failures) and an 8-request burst (8/8 ok,
0 rate limits). Latency ~5-10s/call — slower than grok-4.20 but
expected for a reasoning model.
- hermes_cli/models.py: add to OPENROUTER_MODELS and _PROVIDER_MODELS['nous']
- website/static/api/model-catalog.json: regenerated
Endpoint re-tested over 6 conversational turns (9 API calls, 3 tool calls)
and an 8-request burst — no rate limits, no errors, ~2-3s latency. The
historical rate-limit issues that caused its removal are gone.
- hermes_cli/models.py: add to OPENROUTER_MODELS and _PROVIDER_MODELS['nous']
- website/static/api/model-catalog.json: regenerated via build_model_catalog.py
User-defined model aliases (config.yaml model_aliases: and
model.aliases.*) have worked since early versions but were entirely
undocumented. Add a dedicated 'Custom model aliases' section to
slash-commands.md covering both YAML config formats and the
'hermes config set' shell form, mirror a shorter version into the
configuring-models 'Alternative methods' section, and cross-link from
the two /model table rows.
Flagged by @weehowe on Twitter — he wasn't aware the feature existed.
- hermes_cli/config.py: add tr to supported languages comment
- locales/en.yaml: add tr to locale file list comment
- tests/agent/test_i18n.py: add Turkish alias tests + explicit lang test
- website/docs/user-guide/configuration.md: add tr to supported values
Step-by-step guide covering Ollama installation, model selection,
Hermes configuration, speed optimization, and optional gateway bot
setup — all running on local hardware with zero API cost.
Includes hardware requirements, model comparison table with tool-call
support status, context window tuning, GPU offloading tips, fallback
provider setup, troubleshooting, and cost comparison.
Salvage of #11350. Kept:
- Code: add an explicit /voice join Choice in the slash UI (runner accepts both 'join' and 'channel' but only 'channel' was in autocomplete).
- Docs: Server Members Intent is conditional (only needed if DISCORD_ALLOWED_USERS contains usernames); SSRC → user_id mapping uses the voice websocket SPEAKING opcode, not the Members intent.
Dropped from the original PR:
- HERMES_DISCORD_VOICE_PACKET_DUMP — this env var doesn't exist on main (it was in a different PR that isn't merged).
- DISCORD_PROXY docs — already documented on current main.
- DISCORD_ALLOW_MENTION_* docs — already on main.
- "barge-in mode" rewrite — current main actually does pause the listener during TTS (VoiceReceiver.pause() at discord.py:192); there is no barge_in_guard/barge_in_rms on main.
Co-authored-by: Michel Belleau <michel.belleau@malaiwah.com>
Salvage of #11758. The PR's original diff was stale (the Docker Compose section on main has been heavily refactored — dashboard is now an embedded side-process, not a separate service), so the useful bit (API server env var requirements) is applied as a note on the basic `docker run` example.
Co-authored-by: xiangyong <xiangyong@zspace.cn>
Adds a comprehensive guide for connecting Dockerized Hermes to local
inference servers like vLLM and Ollama, covering:
- Docker Compose networking (recommended)
- Standalone Docker run with host.docker.internal / --network host
- Connectivity verification steps
- Ollama-specific example
Closes#12308
AGENTS.md is the AI-assistant entry doc, so its counts get used as ground
truth. Several values had drifted, and the same drift had spread to a few
user-facing surfaces. Fixing all of them in one commit so the count claims
agree and clearly distinguish gateway-core from plugin-shipped platforms.
AGENTS.md:
- run_agent.py "~12k LOC" → "~14k LOC as of 2026-05-03" (actual 14,097)
- cli.py "~11k LOC" → "~12k LOC as of 2026-05-03" (actual 12,043)
- tools/environments/ list now lists all 7 user-selectable terminal backends
in canonical order, matching tools/terminal_tool.py:2214-2215
- gateway/platforms/ list adds yuanbao and wecom_callback; the 19 names
match the user-facing list at website/docs/integrations/index.md
- plugins/ tree now mentions plugins/platforms/ (irc, teams)
- tests/ snapshot "~15k tests across ~700 files as of Apr 2026" →
"~19k tests across ~890 files as of 2026-05-03"
User-facing count claims:
- hermes_cli/tips.py:195 — "19 platforms" → "21 messaging platforms" with
IRC and Microsoft Teams added to the named list
- website/docs/index.md:49 — "6 terminal backends" → "7 terminal backends:
..., Vercel Sandbox" (also corrected by PR #19044; same edit content)
- website/docs/index.md:50 — "15+ platforms from one gateway" → "21+ messaging
platforms (19 in the gateway, plus IRC and Microsoft Teams via plugins)"
- website/docs/integrations/index.md:83-85 — "15+ messaging platforms" → "19+",
added yuanbao to the linked list. The surrounding text scopes it to "configured
through the same gateway subsystem", so plugin platforms (IRC, Teams) are
intentionally not in this list
- website/scripts/generate-llms-txt.py:205 — "15+ platforms" → "21+ messaging
platforms — 19 native to the gateway plus IRC and Microsoft Teams via plugins"
LOC and date stamps follow the existing AGENTS.md "as of <date>" convention
(line 56 already used this pattern). Source of truth for the gateway count is
gateway/config.py:130-148 (PlatformID enum); plugin platforms live in
plugins/platforms/.
Out of scope:
- RELEASE_v0.9.0.md historical "16 platforms" claim (immutable history)
- userStories.json verbatim user quotes
- Programmatic count generation from gateway/config.py + plugin manifests
is a worthwhile build-system change but separate from these content fixes
README:24 claimed "Six terminal backends" while tools/environments/ exposes
seven top-level backend choices through TERMINAL_ENV: local, docker, ssh,
singularity, modal, daytona, vercel_sandbox. Modal additionally has direct
and Nous-managed modes selected via terminal.modal_mode (the
ManagedModalEnvironment class is a Modal sub-mode, not a separate top-level
backend).
The same drift appeared in five other doc and code-comment sites with
inconsistent counts (six, seven, or implicit) and varying lists. Updated
all sites to a consistent seven-backend list in canonical order. The
configuration guide also clarifies how Modal's two modes are selected so
operators do not search for a non-existent backend: managed_modal value.
CONTRIBUTING.md:160 lists six backend filenames in a code tree but does
not carry the "Six terminal" prose; left out of scope per cohesion sweep
guidance to bundle only identical wording.
Files updated:
- README.md (line 24, marketing copy)
- website/docs/index.md (line 49, landing page)
- website/docs/user-guide/configuration.md (line 86, config guide)
- tools/environments/__init__.py (lines 3-6, package docstring)
- tools/file_operations.py (line 6, module docstring)
- environments/README.md (line 43, RL training docs — TERMINAL_ENV list)
Three worked recipes for OpenAI-compatible cloud providers, plus the
Copilot HTTP 401 auto-recovery info block and the GMI Cloud row in the
compatible providers table. All three additions were on the original
docs/custom-providers-cookbook branch but its merge base predated 1186
main commits, making the rebase impractical (84k+ line conflict).
Replays just the providers.md additions onto current main.
Every provider profile is now a self-contained plugin under
plugins/model-providers/<name>/, mirroring the plugins/platforms/
pattern established for IRC and Teams. The ProviderProfile ABC
stays in providers/; the per-provider profile data moves out.
- plugins/model-providers/<name>/__init__.py calls register_provider()
- plugins/model-providers/<name>/plugin.yaml declares kind: model-provider
- providers/__init__.py._discover_providers() lazily scans bundled plugins
then $HERMES_HOME/plugins/model-providers/<name>/ (user override path)
- User plugins with the same name override bundled ones (last-writer-wins
in register_provider)
- Legacy providers/<name>.py layout still supported for back-compat with
out-of-tree editable installs
- Hermes PluginManager: new kind=model-provider; skipped like memory
plugins (providers/ discovery owns them); standalone plugins with
register_provider+ProviderProfile in their __init__.py auto-coerce to
this kind (same heuristic as memory providers)
- skip_names extended to include 'model-providers' so the general
PluginManager doesn't double-scan the category
- 4 new tests in tests/providers/test_plugin_discovery.py covering
bundled discovery, user override, and general-loader isolation
- Docs updated: website/docs/developer-guide/adding-providers.md,
provider-runtime.md, providers/README.md, plugins/model-providers/README.md
No API break: auth.py / config.py / doctor.py / models.py / runtime_provider.py /
model_metadata.py / auxiliary_client.py / chat_completions.py / run_agent.py
all still consume providers via get_provider_profile() / list_providers() —
they just now see plugin-discovered entries instead of pkgutil-iterated ones.
Third parties can now drop a single directory into
~/.hermes/plugins/model-providers/<name>/ to add or override an inference
provider without touching the repo.
Introduces providers/ package — single source of truth for every
inference provider. Adding a simple api-key provider now requires one
providers/<name>.py file with zero edits anywhere else.
What this PR ships:
- providers/ package (ProviderProfile ABC + 33 profiles across 4 api_modes)
- ProviderProfile declarative fields: name, api_mode, aliases, display_name,
env_vars, base_url, models_url, auth_type, fallback_models, hostname,
default_headers, fixed_temperature, default_max_tokens, default_aux_model
- 4 overridable hooks: prepare_messages, build_extra_body,
build_api_kwargs_extras, fetch_models
- chat_completions.build_kwargs: profile path via _build_kwargs_from_profile,
legacy flag path retained for lmstudio/tencent-tokenhub (which have
session-aware reasoning probing that doesn't map cleanly to hooks yet)
- run_agent.py: profile path for all registered providers; legacy path
variable scoping fixed (all flags defined before branching)
- Auto-wires: auth.PROVIDER_REGISTRY, models.CANONICAL_PROVIDERS,
doctor health checks, config.OPTIONAL_ENV_VARS, model_metadata._URL_TO_PROVIDER
- GeminiProfile: thinking_config translation (native + openai-compat nested)
- New tests/providers/ (79 tests covering profile declarations, transport
parity, hook overrides, e2e kwargs assembly)
Deltas vs original PR (salvaged onto current main):
- Added profiles: alibaba-coding-plan, azure-foundry, minimax-oauth
(were added to main since original PR)
- Skipped profiles: lmstudio, tencent-tokenhub stay on legacy path (their
reasoning_effort probing has no clean hook equivalent yet)
- Removed lmstudio alias from custom profile (it's a separate provider now)
- Skipped openrouter/custom from PROVIDER_REGISTRY auto-extension
(resolve_provider special-cases them; adding breaks runtime resolution)
- runtime_provider: profile.api_mode only as fallback when URL detection
finds nothing (was breaking minimax /v1 override)
- Preserved main's legacy-path improvements: deepseek reasoning_content
preserve, gemini Gemma skip, OpenRouter response caching, Anthropic 1M
beta recovery, etc.
- Kept agent/copilot_acp_client.py in place (rejected PR's relocation —
main has 7 fixes landed since; relocation would revert them)
- _API_KEY_PROVIDER_AUX_MODELS alias kept for backward compat with existing
test imports
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
Closes#14418
PR #12473 (merged 2026-04-19) added a new --deliver-only flag to
`hermes webhook subscribe` for zero-LLM direct delivery, but
website/docs/reference/cli-commands.md options table did not
reference it. Add the row so CLI users can discover the flag from
the reference page instead of having to read the source.
PR #13743 replaced the global MAX_TEXT_LENGTH=4000 with a per-provider
table and a user-override 'max_text_length:' key, but the user-guide
TTS page documented no length behaviour at all. Users hitting truncation
had no way to discover the new caps or the override.
Add an 'Input length limits' subsection after the existing Configuration
YAML block: provider default caps (Edge 5000 / OpenAI 4096 / xAI 15000 /
MiniMax 10000 / Mistral 4000 / Gemini 5000 / ElevenLabs model-aware /
NeuTTS,KittenTTS 2000), ElevenLabs model_id -> cap table (5k-40k), an
override example, and the validation rules (non-positive / non-integer /
boolean values fall through to the provider default).
* revert(gateway): remove stale-code self-check and auto-restart
Removes the _detect_stale_code / _trigger_stale_code_restart mechanism
introduced in #17648 and iterated in #19740. On every incoming message
the gateway compared the boot-time git HEAD SHA to the current SHA on
disk, and if they differed it would reply with
Gateway code was updated in the background --
restarting this gateway so your next message runs
on the new code. Please retry in a moment.
and then kick off a graceful restart. This is unwanted behaviour:
users who run a long-lived gateway and do their own ad-hoc git
operations on the checkout end up with their chat interrupted and
the current message dropped every time HEAD moves, with no way to
opt out.
If an operator really needs the old protection against stale
sys.modules after "hermes update", the SIGKILL-survivor sweep in
hermes update (hermes_cli/main.py, also tagged #17648) already
handles the supervisor-respawn case on its own.
Removed:
gateway/run.py:
- _STALE_CODE_SENTINELS, _GIT_SHA_CACHE_TTL_SECS
- _read_git_head_sha(), _compute_repo_mtime() module helpers
- class-level _boot_wall_time / _boot_repo_mtime / _boot_git_sha /
_stale_code_restart_triggered defaults
- __init__ boot-snapshot block (_boot_*, _cached_current_sha*,
_repo_root_for_staleness, _stale_code_notified)
- _current_git_sha_cached(), _detect_stale_code(),
_trigger_stale_code_restart() methods
- stale-code check + user-facing restart notice at the top of
_handle_message()
tests/gateway/test_stale_code_self_check.py (deleted, 412 lines)
No new logic added. Zero remaining references to any removed
symbol. Gateway test suite passes the same 4589 tests it passed
before; the 3 pre-existing unrelated failures (discord free-channel,
feishu bot admission, teams typing) are unchanged by this commit.
* feat(i18n): add display.language for static message translation (zh/ja/de/es)
Adds a thin-slice i18n layer covering the highest-impact static user-facing
messages: the CLI dangerous-command approval prompt and a handful of gateway
slash-command replies (restart-drain, goal cleared, approval expired, config
read/save errors).
Out of scope (stays English): agent responses, log lines, tool outputs,
slash-command descriptions, error tracebacks.
Infrastructure:
- agent/i18n.py: catalog loader, t() helper, language resolution
(HERMES_LANGUAGE env var > display.language config > en)
- locales/{en,zh,ja,de,es}.yaml: ~19 translated strings per language
- display.language in DEFAULT_CONFIG (hermes_cli/config.py)
Tests:
- tests/agent/test_i18n.py: 21 tests covering catalog parity, placeholder
parity across locales, fallback behavior, env-var override, alias
normalization, missing-key graceful degradation.
Docs:
- website/docs/user-guide/configuration.md: display.language entry plus a
short section explaining scope so users don't expect agent responses to
translate via this knob.
Previously, pinning a skill blocked every skill_manage write action
(edit, patch, delete, write_file, remove_file). The 'hard fence'
design conflated two concerns:
1. Pin as deletion protection — don't let the curator archive
or the agent delete a stable skill.
2. Pin as content freeze — don't let the agent rewrite it mid-conversation.
In practice (1) is what users pin for: they want a skill to survive
curator passes. (2) created friction — agents finding a new pitfall
in a pinned skill had to ask the user to unpin, then the agent
patches, then the user re-pins. The dance discouraged skill
maintenance and pinned skills went stale.
This narrows the _pinned_guard to skill_manage(action='delete') only.
Patches, edits, and supporting-file writes go through on pinned
skills so the agent can keep improving them. The curator's own
pinned-skip behavior (agent/curator.py:271 for auto-archive,
line 349 for the LLM review prompt) is unchanged — curator still
never touches pinned skills.
Changes:
- tools/skill_manager_tool.py: remove _pinned_guard calls from
_edit_skill, _patch_skill, _write_file, _remove_file; keep on
_delete_skill. Updated _pinned_guard docstring and error message.
- tools/skill_manager_tool.py: updated skill_manage model-facing tool
description to reflect the new semantic.
- website/docs/user-guide/features/curator.md: updated pinning
section.
- tests/tools/test_skill_manager_tool.py: flipped refuses-pinned
tests for edit/patch/write_file/remove_file into allowed-when-pinned;
kept test_delete_refuses_pinned (strengthened assertion to check the
'cannot be deleted' wording).
Closes#18354
* revert(gateway): remove stale-code self-check and auto-restart
Removes the _detect_stale_code / _trigger_stale_code_restart mechanism
introduced in #17648 and iterated in #19740. On every incoming message
the gateway compared the boot-time git HEAD SHA to the current SHA on
disk, and if they differed it would reply with
Gateway code was updated in the background --
restarting this gateway so your next message runs
on the new code. Please retry in a moment.
and then kick off a graceful restart. This is unwanted behaviour:
users who run a long-lived gateway and do their own ad-hoc git
operations on the checkout end up with their chat interrupted and
the current message dropped every time HEAD moves, with no way to
opt out.
If an operator really needs the old protection against stale
sys.modules after "hermes update", the SIGKILL-survivor sweep in
hermes update (hermes_cli/main.py, also tagged #17648) already
handles the supervisor-respawn case on its own.
Removed:
gateway/run.py:
- _STALE_CODE_SENTINELS, _GIT_SHA_CACHE_TTL_SECS
- _read_git_head_sha(), _compute_repo_mtime() module helpers
- class-level _boot_wall_time / _boot_repo_mtime / _boot_git_sha /
_stale_code_restart_triggered defaults
- __init__ boot-snapshot block (_boot_*, _cached_current_sha*,
_repo_root_for_staleness, _stale_code_notified)
- _current_git_sha_cached(), _detect_stale_code(),
_trigger_stale_code_restart() methods
- stale-code check + user-facing restart notice at the top of
_handle_message()
tests/gateway/test_stale_code_self_check.py (deleted, 412 lines)
No new logic added. Zero remaining references to any removed
symbol. Gateway test suite passes the same 4589 tests it passed
before; the 3 pre-existing unrelated failures (discord free-channel,
feishu bot admission, teams typing) are unchanged by this commit.
* docs(quickstart): link Onchain AI Garage Hermes tutorials playlist
Adds a 'Prefer to watch?' tip callout near the top of the quickstart page pointing to @OnchainAIGarage's Hermes Agent Tutorials + Use Cases playlist, which includes a Masterclass series covering install, setup, and basic commands.
* docs(quickstart): embed Masterclass video in Prefer to watch section
Swaps the plain-link tip callout for an inline responsive YouTube embed of the Hermes Agent Masterclass (R3YOGfTBcQg) plus a kept link to the full Onchain AI Garage tutorials playlist.
The previous bare except swallowed every exception from app.reply()
silently. Log at debug so real failures (auth, chat gone) leave a
trace while keeping the group-chat 400 fallback working. Also fix
the Teams entry's indentation in the messaging flowchart.
Wire reply_to into send() using App.reply(conv_id, msg_id, content)
which constructs the threaded conversation ID internally.
Threads supported in channels and group chats.
Update comparison table: Threads ✅
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The docs were ambiguous about whether the Docker terminal backend spins up
a fresh container per command or reuses a long-lived one. It's the latter
— Hermes starts one container on first use and routes every terminal,
file, and execute_code call through docker exec into that same container
for the life of the process (across /new, /reset, and delegate_task
subagents). Working-directory changes, installed packages, and files in
/workspace persist from one tool call to the next, like a local shell.
- configuration.md: lead the Docker Backend section with the persistence
model before the YAML example; sharpen the Backend Overview table row.
- features/tools.md: expand the Docker Backend block (previously just a
2-line YAML stub) with a clear statement of the persistent-container
semantics and a pointer to the full lifecycle section.
- docker.md: tighten the 'Docker as a terminal backend' bullet and the
'Skills and credential files' paragraph to call out the single-container
model explicitly.
PR #19709 added website/docs/guides/cron-script-only.md but never added the entry to website/sidebars.ts, which is explicitly enumerated (not autogenerated). Two consequences:
1. The guide didn't show up in the left-nav "Guides & Tutorials" list — users could only reach it via cross-links from other pages.
2. Landing on the guide page directly made the sidebar disappear entirely (Docusaurus treats unregistered docs as orphaned and renders them without their parent sidebar).
Added 'guides/cron-script-only' next to 'guides/automate-with-cron' so it slots in alongside the other cron content. Verified with `npm run build`: no orphan warnings, no broken links, page builds with sidebar intact.
No content change, docs only.
The shipped no-agent docs introduced the feature via CLI first and
mentioned the chat path as a two-line afterthought. That buries the
actual value prop: the cronjob tool exposes no_agent directly to the
agent, so a user can describe a watchdog in plain language and Hermes
wires up the script + schedule + delivery without anyone opening an
editor.
Changes:
* cron-script-only.md: promote 'Create One from Chat' above
'Create One from the CLI', flesh it out with a worked transcript
(the actual tool calls the agent makes), add subsections covering
'what the agent decides for you' (when to pick no_agent=True vs
LLM mode) and 'managing watchdogs from chat' (pause/resume/edit/
remove all agent-accessible).
* user-guide/features/cron.md:
- Add 'no-agent mode' to the top-level feature list with a cross-
link, plus a sentence up top making it clear everything is
agent-accessible through the cronjob tool.
- Add 'The agent sets these up for you' subsection to the no-agent
section showing the exact tool call shape.
* automate-with-cron.md: tighten the existing tip box to mention the
agent-driven path, not just CLI scheduling.
No behavior change — docs only.
* feat(cron): add no_agent mode for script-only cron jobs (watchdog pattern)
Adds a no_agent=True option to the cronjob system. When enabled, the
scheduler runs the attached script on schedule and delivers its stdout
directly to the job's target — no LLM, no agent loop, no token spend.
This is the classic bash-watchdog pattern (memory alert every 5 min,
disk alert every 15 min, CI ping) reimplemented as a first-class Hermes
primitive instead of a systemd timer + curl + bot token triplet living
outside the system.
## What
hermes cron create "every 5m" \
--no-agent \
--script memory-watchdog.sh \
--deliver telegram \
--name memory-watchdog
Agent tool:
cronjob(action='create',
schedule='every 5m',
script='memory-watchdog.sh',
no_agent=True,
deliver='telegram')
Semantics:
- Script stdout (trimmed) → delivered verbatim as the message
- Empty stdout → silent tick (no delivery; watchdog pattern)
- wakeAgent=false gate → silent tick (same gate LLM jobs use)
- Non-zero exit/timeout → delivered as an error alert
(broken watchdogs shouldn't fail silently)
- No LLM ever invoked; no tokens spent; no provider fallback applied
## Implementation
cron/jobs.py
* create_job gains no_agent: bool = False
* prompt becomes Optional (no_agent jobs don't need one)
* Validation: no_agent=True requires a script at create time
* Field roundtrips via load_jobs / save_jobs / update_job
cron/scheduler.py
* run_job: new short-circuit branch at the top that runs the script,
wraps its output into the (success, doc, final_response, error)
tuple downstream delivery already expects, and returns before any
AIAgent import or construction
* _run_job_script: picks interpreter by extension — .sh/.bash run
under /bin/bash, anything else under sys.executable (Python).
Shell support unlocks the bash-watchdog pattern without wrapping
scripts in Python. Extension is explicit; we deliberately do NOT
trust the file's own shebang. Path-containment guard (scripts dir)
unchanged.
tools/cronjob_tools.py
* Schema: new no_agent boolean property with clear trigger guidance
* cronjob() accepts no_agent and validates mode-specific shape:
- no_agent=True requires script; prompt/skills optional
- no_agent=False keeps the existing 'prompt or skill required' rule
* update path rejects flipping no_agent=True on a job without a script
* _format_job surfaces no_agent in list output
* Handler lambda forwards no_agent from tool args
hermes_cli/main.py, hermes_cli/cron.py
* 'hermes cron create --no-agent' and edit's --no-agent / --agent
pair for toggling at CLI parity with the agent tool
* Existing --script help text updated to describe both modes
* List / create / edit output now shows 'Mode: no-agent (...)' when set
## Tests
tests/cron/test_cron_no_agent.py — 18 tests covering:
* create_job: no_agent shape, validation, field persistence
* update_job: flag roundtrip across reload
* cronjob tool: schema validation, update toggling, mode-specific
requirements, prompt-relaxation rule
* run_job short-circuit:
- success path delivers stdout verbatim
- empty stdout → SILENT_MARKER (no delivery downstream)
- wakeAgent=false gate → silent
- script failure → error alert
- run_job does NOT import AIAgent (verified via mock)
* _run_job_script:
- .sh executes via bash (no shebang required)
- .bash executes via bash
- .py still runs via sys.executable (regression)
- path-traversal still blocked (security regression)
All 18 new tests pass. 341/342 pre-existing cron tests still pass; the
one failure (test_script_empty_output_noted) was already broken on main
and is unrelated to this change.
## Docs
website/docs/guides/cron-script-only.md — new dedicated guide covering
the watchdog pattern, interpreter rules, delivery mapping, worked
examples (memory / disk alerts), and the comparison table vs hermes send,
regular LLM cron jobs, and OS-level cron.
website/docs/user-guide/features/cron.md — new 'No-agent mode' section
in the cron feature reference, cross-linked to the guide.
website/docs/guides/automate-with-cron.md — new tip box pointing users
to no-agent mode when they don't need LLM reasoning.
## Compatibility
- Existing jobs: unchanged. no_agent defaults to False, existing code
paths untouched until the flag is set.
- Schema additive only; older jobs.json without the field load fine
via .get() with False default.
- New CLI flags are opt-in and don't alter existing flag behavior.
* fix(cron): lazy-import AIAgent + SessionDB so no_agent ticks pay zero
The unconditional `from run_agent import AIAgent` + SessionDB() init at
the top of run_job() meant every no_agent tick still paid the full agent
module load cost (~300ms + transitive imports + DB open) even though it
never touched any of that machinery.
Move both to live under the default (LLM) path, after the no_agent
short-circuit has returned. Now a no_agent tick's sys.modules stays
clean — verified end-to-end:
assert 'run_agent' not in sys.modules # before
run_job(no_agent_job)
assert 'run_agent' not in sys.modules # after
The existing mock-based unit test (test_run_job_no_agent_never_invokes_aiagent)
kept passing because patch() replaces the class AFTER import; the leak
was only visible via real subprocess-style verification. End-to-end
demo confirmed: agent calls cronjob(no_agent=True) → script runs →
stdout delivered → no LLM machinery loaded.
* docs(cron): tighten no_agent tool schema — defaults, silent semantics, pick rule
Previous description buried the important bits in one long sentence.
Agents could plausibly miss three things an LLM-facing schema should
make unmissable:
1. What the default is — now first sentence + JSON Schema `default: false`
2. What 'silent run' actually means for the user — now spelled out:
'nothing is sent to the user and they won't see anything happened'
3. When to pick True vs False — now a concrete decision rule with
examples on both sides (watchdogs/metrics/pollers → True;
summarize/draft/pick/rephrase → False)
Also adds explicit 'prompt and skills are ignored when True' since the
agent could otherwise still pass them out of habit.
No behavior change — schema text only.
