The skill enumerated 8 specialist profile names (researcher, analyst,
writer, reviewer, backend-eng, frontend-eng, ops, pm) as "the standard
roster" and told orchestrators to "assume these exist." Almost no real
Hermes setup matches that fleet — single-profile setups, Docker-worker
setups, and curated-team setups all violate it — so following the skill
literally produced cards assigned to non-existent profiles, which the
dispatcher silently failed to spawn (no autocorrect, no fallback, just
sits in `ready` forever).
Changes:
- Drop the standard-specialist-roster table.
- Add a "Profiles are user-configured — not a fixed roster" section at
the top with a Step 0 that prescribes `hermes profile list` (or asking
the user) before fanning out. Cache the result in working memory.
- Rewrite the worked task-graph example with placeholder names
(<profile-A>, <profile-B>, <profile-C>) so the structure is still
teachable but doesn't invite copy-paste of role names that may not
exist.
- Reframe the "If no specialist fits" anti-temptation rule: don't
invent profile names; ask the user.
- Add a "Inventing profile names that doesn't exist" entry to Pitfalls.
- Bump skill version 2.0.0 → 3.0.0 (semantic break: previous behavior
promised a roster the skill no longer enumerates).
- Update website/docs/user-guide/features/kanban.md to drop the
matching "(researcher, writer, analyst, backend-eng, reviewer, ops)"
line and explain the discovery prompt instead.
- Re-run website/scripts/generate-skill-docs.py to refresh the
auto-generated skill page + catalog.
Closes#21131 in spirit — addresses the same hardcoded-names footgun
@yehuosi flagged, with a different shape than their PR (delete the
roster rather than replace each name with placeholder, since the
roster table was the load-bearing footgun and the worked example is
salvageable with placeholder profile names).
Co-authored-by: yehuosi <yehuosi@users.noreply.github.com>
Adds CDPSupervisor.evaluate_runtime() and wires it into _browser_eval as a
fast path when a supervisor is alive for the current task_id. Replaces the
~180ms agent-browser subprocess fork+exec+Node-startup hop with a ~1ms
Runtime.evaluate over the supervisor's already-connected WebSocket.
Falls through to the existing agent-browser CLI path when no supervisor is
running (e.g. backends without CDP, or before the first browser_navigate
attaches one), so behaviour is unchanged where it can't apply.
JS-side exceptions surface directly without falling through to the
subprocess (the subprocess would just re-raise the same error, slower);
supervisor-side failures (loop down, no session) fall through cleanly.
Benchmark — 30 iterations of `1 + 1` against headless Chrome:
supervisor WS mean= 0.96ms median= 0.91ms
agent-browser subprocess mean=179.35ms median=167.73ms
→ 187x speedup mean
Tests: 14 unit tests (mocked supervisor + response-shape coverage), 5
real-Chrome e2e tests in test_browser_supervisor.py (gated on Chrome
being installed). Browser test suite: 355 passed, 1 skipped.
* feat(plugins): host-owned LLM access via ctx.llm
Plugins can now ask the host to run a one-shot chat or structured
completion against the user's active model and auth, without ever
seeing an OAuth token or API key. Closes the gap where plugins that
needed bounded structured inference (receipts, CRM extraction,
support classification) had to either bring their own provider keys
or register a tool the agent had to call.
New surface on PluginContext:
- ctx.llm.complete(messages, ...)
- ctx.llm.complete_structured(instructions, input, json_schema, ...)
- async siblings ctx.llm.acomplete / acomplete_structured
Backed by the existing auxiliary_client.call_llm pipeline — every
provider, fallback chain, vision routing, and timeout policy Hermes
already supports applies automatically.
Trust gate (fail-closed by default):
- plugins.entries.<id>.llm.allow_model_override
- plugins.entries.<id>.llm.allowed_models (allowlist; '*' = any)
- plugins.entries.<id>.llm.allow_agent_id_override
- plugins.entries.<id>.llm.allow_profile_override
Embedded model@profile shorthand goes through the same gate as
explicit profile=, so it can't bypass the auth-profile policy.
Conflicting explicit and embedded profiles fail closed.
Also lands:
- plugins/plugin-llm-example/ — reference plugin that registers
/receipt-extract, demonstrating image+text structured input,
jsonschema validation, and the trust-gate config.
- website/docs/developer-guide/plugin-llm-access.md — full API docs.
- 45 unit tests covering trust gates, JSON parsing, schema
validation, image encoding, async surface, and config loading.
Validation:
- 2628 tests pass in tests/agent/
- E2E: bundled plugin loaded with isolated HERMES_HOME, slash
command produced parsed JSON via stubbed call_llm
- response_format extra_body wired correctly for both json_object
and json_schema modes
* docs(plugin-llm): rewrite quickstart and framing
The quickstart now uses a meeting-notes-to-tasks example instead of
a receipt extractor, and the page leads with hook-time / gateway
pre-filter / scheduled-job framing rather than the OpenClaw
KB/support/CRM/finance/migration enumeration that the original
upstream PR used. Receipt example moved to a separate worked
example link so the docs page itself doesn't echo any of the
upstream framing.
Also clarifies where ctx.llm fits in the broader plugin surface
(table comparing register_tool / register_platform / register_hook
/ etc.) and what makes this lane different from auxiliary_client
internals.
No code change.
* docs(plugin-llm): reframe as any LLM call, not just structured output
The original draft leaned heavily on complete_structured() and made
the chat lane (complete() / acomplete()) feel like a footnote.
Restructure so:
- The page title and description say 'any LLM call.'
- The lead shows BOTH a plain chat call (error rewriter) AND a
structured call (triage scorer) up top.
- Quick start has two complete plugin examples — /tldr (chat) and
/paste-to-tasks (structured).
- New 'When to use which' table for choosing complete() vs
complete_structured() vs the async siblings.
- Trust-gate sections explicitly note 'all four methods,' and the
request-shaping list calls out chat-only fields (messages) and
structured-only fields (instructions, input, json_schema)
alongside each other.
- The 'Where this fits' section now says 'for any reason,
structured or not.'
The receipt-extractor reference plugin still exists under
plugins/plugin-llm-example/ — but the docs page no longer treats
it as the canonical surface example. It's now described as 'a third
worked example, this time with image input.'
No code change.
* feat(plugin-llm): split provider/model into independent explicit kwargs
The first cut accepted a single 'provider/model' slug on every method
and split it internally. That looked clean but broke under live test:
the model-override path tried to use the slug's vendor prefix as a
literal Hermes provider id, which silently switched the user off
their aggregator (e.g. plugin asks for 'openai/gpt-4o-mini' on a user
who routes through OpenRouter — host attempted to call the 'openai'
provider directly, failed because OPENAI_API_KEY wasn't set).
New shape mirrors the host's main config:
ctx.llm.complete(
messages=[...],
provider='openrouter', # gated, optional
model='openai/gpt-4o-mini', # gated, optional
profile='work', # gated, optional
...
)
Each is independently gated by its own allow_*_override flag.
Granting model-override does NOT auto-grant provider-override.
Allowlists are now per-axis (allowed_providers, allowed_models)
matched literally against whatever string the plugin sends.
Dropped 'model@profile' embedded-suffix shorthand entirely. Hermes
doesn't use that pattern anywhere else; profile= is its own kwarg.
Live E2E (against real OpenRouter via Teknium's config) confirms:
- zero-config call works
- default-deny blocks each override with a helpful error
- model-only override stays on user's active provider (the bug)
- provider+model override switches cleanly
- allowlist refuses non-listed entries
- structured output round-trip parses + schema-validates
Tests: 49 cases (up from 45); all green. Docs updated to match the
new shape, including a 'most plugins never need this section' callout
on the trust-gate config block.
* fix+cleanup(plugin-llm): real attribution, hook-mode coverage, move example out of core
Three integration fixes for the ctx.llm surface:
1. Attribution bug — result.provider and result.model now reflect
what call_llm actually used, not placeholder fallbacks ('auto',
'default'). New _resolve_attribution() helper:
- explicit overrides win (what the call targeted)
- response.model wins for the recorded model (provider
canonicalisation: 'gpt-4o' → 'gpt-4o-2024-08-06' etc.)
- falls back to _read_main_provider() / _read_main_model()
when no override is set, so audit logs reflect the user's
active main provider/model
- 'auto' / 'default' only when EVERYTHING is empty
Live verified: zero-config call now records
provider='openrouter', model='anthropic/claude-4.7-opus-20260416'
instead of provider='auto', model='default'.
2. Hook-mode coverage — TestHookMode confirms ctx.llm.complete
works from inside a registered post_tool_call callback. The
docs page promised hook integration; now there's a test that
exercises the lazy-import path through the real invoke_hook
machinery. Two cases: traceback-rewrite hook with conditional
ctx.llm.complete, and minimal hook regression for the
sync-hook + sync-llm path.
3. Reference plugin moved out of core. plugins/plugin-llm-example/
is gone from hermes-agent — it now lives in the new
NousResearch/hermes-example-plugins companion repo. The docs
page links there. Hermes' bundled plugins should be plugins
users actually run; reference / docs-companion plugins live
externally.
Test count: 56 (up from 49). Wider sweep on tests/hermes_cli/
+ tests/gateway/ + tests/tools/ + tests/agent/ shows 16770
passing; the 12 failures are all pre-existing on origin/main
(verified by stashing this branch's changes and re-running) —
kanban-boards, delegate-task, gateway-restart, tts-routing —
none touch the plugin_llm surface.
* chore(plugins): move all example plugins to companion repo
Reference / docs-companion plugins now live exclusively in
NousResearch/hermes-example-plugins, not bundled with the core repo:
- example-dashboard
- strike-freedom-cockpit
A new fourth example, plugin-llm-async-example, was added to that
repo demonstrating ctx.llm's async surface (acomplete()) with
asyncio.gather() — registers /translate <lang>: <text> which fires
forward translation + sentiment classifier in parallel, then a
back-translation for QA. Live-tested at 2.5s for three real
provider round-trips (would be ~5-6s sequential).
Docs updated:
- developer-guide/plugin-llm-access.md links both sync and async
examples in the Reference section
- user-guide/features/extending-the-dashboard.md repoints both demo
sections to the companion repo with corrected install paths
- user-guide/features/built-in-plugins.md drops the two demo rows
- AGENTS.md notes that example plugins live in the companion repo
Net: hermes-agent's plugins/ directory now contains only plugins
users actually run (memory providers, dashboard tabs that ship real
features, the disk-cleanup hook, platform adapters). All four
demo / reference plugins live externally where they can be cloned
on demand instead of inflating the core install.
web_extract runs returned page content through the web_extract auxiliary
model when pages exceed 5 000 chars (single-pass up to 500k, chunked up
to 2M, refused above that). The user-guide page didn't mention this —
users were surprised that long-page extracts produced summaries instead
of raw markdown, and that those summaries cost main-model tokens by
default.
Adds:
- size-driven behavior table (under 5k / 5k–500k / 500k–2M / over 2M)
- which auxiliary task does the work (auxiliary.web_extract)
- how to route summaries to a cheap model regardless of main
- escape hatch: browser_navigate when you need raw content
- troubleshooting entry for summarization timeouts
* docs: deep audit — fix stale config keys, missing commands, and registry drift
Cross-checked ~80 high-impact docs pages (getting-started, reference, top-level
user-guide, user-guide/features) against the live registries:
hermes_cli/commands.py COMMAND_REGISTRY (slash commands)
hermes_cli/auth.py PROVIDER_REGISTRY (providers)
hermes_cli/config.py DEFAULT_CONFIG (config keys)
toolsets.py TOOLSETS (toolsets)
tools/registry.py get_all_tool_names() (tools)
python -m hermes_cli.main <subcmd> --help (CLI args)
reference/
- cli-commands.md: drop duplicate hermes fallback row + duplicate section,
add stepfun/lmstudio to --provider enum, expand auth/mcp/curator subcommand
lists to match --help output (status/logout/spotify, login, archive/prune/
list-archived).
- slash-commands.md: add missing /sessions and /reload-skills entries +
correct the cross-platform Notes line.
- tools-reference.md: drop bogus '68 tools' headline, drop fictional
'browser-cdp toolset' (these tools live in 'browser' and are runtime-gated),
add missing 'kanban' and 'video' toolset sections, fix MCP example to use
the real mcp_<server>_<tool> prefix.
- toolsets-reference.md: list browser_cdp/browser_dialog inside the 'browser'
row, add missing 'kanban' and 'video' toolset rows, drop the stale
'38 tools' count for hermes-cli.
- profile-commands.md: add missing install/update/info subcommands, document
fish completion.
- environment-variables.md: dedupe GMI_API_KEY/GMI_BASE_URL rows (kept the
one with the correct gmi-serving.com default).
- faq.md: Anthropic/Google/OpenAI examples — direct providers exist (not just
via OpenRouter), refresh the OpenAI model list.
getting-started/
- installation.md: PortableGit (not MinGit) is what the Windows installer
fetches; document the 32-bit MinGit fallback.
- installation.md / termux.md: installer prefers .[termux-all] then falls
back to .[termux].
- nix-setup.md: Python 3.12 (not 3.11), Node.js 22 (not 20); fix invalid
'nix flake update --flake' invocation.
- updating.md: 'hermes backup restore --state pre-update' doesn't exist —
point at the snapshot/quick-snapshot flow; correct config key
'updates.pre_update_backup' (was 'update.backup').
user-guide/
- configuration.md: api_max_retries default 3 (not 2); display.runtime_footer
is the real key (not display.runtime_metadata_footer); checkpoints defaults
enabled=false / max_snapshots=20 (not true / 50).
- configuring-models.md: 'hermes model list' / 'hermes model set ...' don't
exist — hermes model is interactive only.
- tui.md: busy_indicator -> tui_status_indicator with values
kaomoji|emoji|unicode|ascii (not kawaii|minimal|dots|wings|none).
- security.md: SSH backend keys (TERMINAL_SSH_HOST/USER/KEY) live in .env,
not config.yaml.
- windows-wsl-quickstart.md: there is no 'hermes api' subcommand — the
OpenAI-compatible API server runs inside hermes gateway.
user-guide/features/
- computer-use.md: approvals.mode (not security.approval_level); fix broken
./browser-use.md link to ./browser.md.
- fallback-providers.md: top-level fallback_providers (not
model.fallback_providers); the picker is subcommand-based, not modal.
- api-server.md: API_SERVER_* are env vars — write to per-profile .env,
not 'hermes config set' which targets YAML.
- web-search.md: drop web_crawl as a registered tool (it isn't); deep-crawl
modes are exposed through web_extract.
- kanban.md: failure_limit default is 2, not '~5'.
- plugins.md: drop hard-coded '33 providers' count.
- honcho.md: fix unclosed quote in echo HONCHO_API_KEY snippet; document
that 'hermes honcho' subcommand is gated on memory.provider=honcho;
reconcile subcommand list with actual --help output.
- memory-providers.md: legacy 'hermes honcho setup' redirect documented.
Verified via 'npm run build' — site builds cleanly; broken-link count went
from 149 to 146 (no regressions, fixed a few in passing).
* docs: round 2 audit fixes + regenerate skill catalogs
Follow-up to the previous commit on this branch:
Round 2 manual fixes:
- quickstart.md: KIMI_CODING_API_KEY mentioned alongside KIMI_API_KEY;
voice-mode and ACP install commands rewritten — bare 'pip install ...'
doesn't work for curl-installed setups (no pip on PATH, not in repo
dir); replaced with 'cd ~/.hermes/hermes-agent && uv pip install -e
".[voice]"'. ACP already ships in [all] so the curl install includes it.
- cli.md / configuration.md: 'auxiliary.compression.model' shown as
'google/gemini-3-flash-preview' (the doc's own claimed default);
actual default is empty (= use main model). Reworded as 'leave empty
(default) or pin a cheap model'.
- built-in-plugins.md: added the bundled 'kanban/dashboard' plugin row
that was missing from the table.
Regenerated skill catalogs:
- ran website/scripts/generate-skill-docs.py to refresh all 163 per-skill
pages and both reference catalogs (skills-catalog.md,
optional-skills-catalog.md). This adds the entries that were genuinely
missing — productivity/teams-meeting-pipeline (bundled),
optional/finance/* (entire category — 7 skills:
3-statement-model, comps-analysis, dcf-model, excel-author, lbo-model,
merger-model, pptx-author), creative/hyperframes,
creative/kanban-video-orchestrator, devops/watchers,
productivity/shop-app, research/searxng-search,
apple/macos-computer-use — and rewrites every other per-skill page from
the current SKILL.md. Most diffs are tiny (one line of refreshed
metadata).
Validation:
- 'npm run build' succeeded.
- Broken-link count moved 146 -> 155 — the +9 are zh-Hans translation
shells that lag every newly-added skill page (pre-existing pattern).
No regressions on any en/ page.
Returning users who enabled '🖱️ Computer Use (macOS)' via 'hermes tools'
saw '✓ Saved configuration' but no install — cua-driver was never on
PATH and the toolset failed at first use. Two compounding causes:
1. _toolset_needs_configuration_prompt fell through to _toolset_has_keys,
which returned True for any provider with empty env_vars. cua-driver
has no env vars, so the gate skipped _configure_toolset entirely and
_run_post_setup('cua_driver') never ran.
2. No stable CLI entry-point existed for re-running the install when
the picker no-op'd it (e.g. when toggling the toolset off+on inside
one picker session, where 'added' is empty).
Changes:
- hermes_cli/tools_config.py: add _POST_SETUP_INSTALLED registry
mapping post_setup keys to installed-state predicates. The gate
now returns True when any visible provider has a registered
post_setup whose predicate fails. cua_driver is the only opt-in
for now; other post_setup hooks keep their existing behaviour.
- hermes_cli/main.py: add 'hermes computer-use install' and
'hermes computer-use status' as a stable docs target. install
reuses the same _run_post_setup('cua_driver') path that the
picker invokes; status reports whether cua-driver is on PATH.
- tools/computer_use/cua_backend.py: install hint now points users
at 'hermes computer-use install' first.
- website/docs/user-guide/features/computer-use.md: document the
new command as the primary install path.
- website/docs/reference/cli-commands.md: catalog 'hermes
computer-use' alongside 'hermes tools'.
- tests/hermes_cli/test_post_setup_gating.py: regression coverage
for the gate predicate (missing -> setup forced, installed ->
setup skipped, broken predicate -> non-blocking, unregistered
keys -> behaviour unchanged).
Fixes#22737. Reported by @f-trycua.
Native Windows (with Git for Windows installed) can now run the Hermes CLI
and gateway end-to-end without crashing. install.ps1 already existed and
the Git Bash terminal backend was already wired up — this PR fills the
remaining gaps discovered by auditing every Windows-unsafe primitive
(`signal.SIGKILL`, `os.kill(pid, 0)` probes, bare `fcntl`/`termios`
imports) and by comparing hermes against how Claude Code, OpenCode, Codex,
and Cline handle native Windows.
## What changed
### UTF-8 stdio (new module)
- `hermes_cli/stdio.py` — single `configure_windows_stdio()` entry point.
Flips the console code page to CP_UTF8 (65001), reconfigures
`sys.stdout`/`stderr`/`stdin` to UTF-8, sets `PYTHONIOENCODING` + `PYTHONUTF8`
for subprocesses. No-op on non-Windows. Opt out via `HERMES_DISABLE_WINDOWS_UTF8=1`.
- Called early in `cli.py::main`, `hermes_cli/main.py::main`, and
`gateway/run.py::main` so Unicode banners (box-drawing, geometric
symbols, non-Latin chat text) don't `UnicodeEncodeError` on cp1252
consoles.
### Crash sites fixed
- `hermes_cli/main.py:7970` (hermes update → stuck gateway sweep): raw
`os.kill(pid, _signal.SIGKILL)` → `gateway.status.terminate_pid(pid, force=True)`
which routes through `taskkill /T /F` on Windows.
- `hermes_cli/profiles.py::_stop_gateway_process`: same fix — also
converted SIGTERM path to `terminate_pid()` and widened OSError catch
on the intermediate `os.kill(pid, 0)` probe.
- `hermes_cli/kanban_db.py:2914, 3041`: raw `signal.SIGKILL` →
`getattr(signal, "SIGKILL", signal.SIGTERM)` fallback (matches the
pattern already used in `gateway/status.py`).
### OSError widening on `os.kill(pid, 0)` probes
Windows raises `OSError` (WinError 87) for a gone PID instead of
`ProcessLookupError`. Widened the catch at:
- `gateway/run.py:15101` (`--replace` wait-for-exit loop — without this,
the loop busy-spins the full 10s every Windows gateway start)
- `hermes_cli/gateway.py:228, 460, 940`
- `hermes_cli/profiles.py:777`
- `tools/process_registry.py::_is_host_pid_alive`
- `tools/browser_tool.py:1170, 1206`
### Dashboard PTY graceful degradation
`hermes_cli/pty_bridge.py` depends on `fcntl`/`termios`/`ptyprocess`,
none of which exist on native Windows. Previously a Windows dashboard
would crash on `import hermes_cli.web_server` because of a top-level
import. Now:
- `hermes_cli/web_server.py` wraps the pty_bridge import in
`try/except ImportError` and sets `_PTY_BRIDGE_AVAILABLE=False`.
- The `/api/pty` WebSocket handler returns a friendly "use WSL2 for
this tab" message instead of exploding.
- Every other dashboard feature (sessions, jobs, metrics, config
editor) runs natively on Windows.
### Dependency
- `pyproject.toml`: add `tzdata>=2023.3; sys_platform == 'win32'` so
Python's `zoneinfo` works on Windows (which has no IANA tzdata
shipped with the OS). Credits @sprmn24 (PR #13182).
### Docs
- README.md: removed "Native Windows is not supported"; added
PowerShell one-liner and Git-for-Windows prerequisite note.
- `website/docs/getting-started/installation.md`: new Windows section
with capability matrix (everything native except the dashboard
`/chat` PTY tab, which is WSL2-only).
- `website/docs/user-guide/windows-wsl-quickstart.md`: reframed as
"WSL2 as an alternative to native" rather than "the only way".
- `website/docs/developer-guide/contributing.md`: updated
cross-platform guidance with the `signal.SIGKILL` / `OSError`
rules we enforce now.
- `website/docs/user-guide/features/web-dashboard.md`: acknowledged
native Windows works for everything except the embedded PTY pane.
## Why this shape
Pulled from a survey of how other agent codebases handle native
Windows (Claude Code, OpenCode, Codex, Cline):
- All four treat Git Bash as the canonical shell on Windows, same as
hermes already does in `tools/environments/local.py::_find_bash()`.
- None of them force `SetConsoleOutputCP` — but they don't have to,
Node/Rust write UTF-16 to the Win32 console API. Python does not get
that for free, so we flip CP_UTF8 via ctypes.
- None of them ship PowerShell-as-primary-shell (Claude Code exposes
PS as a secondary tool; scope creep for this PR).
- All of them use `taskkill /T /F` for force-kill on Windows, which
is exactly what `gateway.status.terminate_pid(force=True)` does.
## Non-goals (deliberate scope limits)
- No PowerShell-as-a-second-shell tool — worth designing separately.
- No terminal routing rewrite (#12317, #15461, #19800 cluster) — that's
the hardest design call and needs a separate doc.
- No wholesale `open()` → `open(..., encoding="utf-8")` sweep (Tianworld
cluster) — will do as follow-up if users hit actual breakage; most
modern code already specifies it.
## Validation
- 28 new tests in `tests/tools/test_windows_native_support.py` — all
platform-mocked, pass on Linux CI. Cover:
- `configure_windows_stdio` idempotency, opt-out, env-preservation
- `terminate_pid` taskkill routing, failure → OSError, FileNotFoundError fallback
- `getattr(signal, "SIGKILL", …)` fallback shape
- `_is_host_pid_alive` OSError widening (Windows-gone-PID behavior)
- Source-level checks that all entry points call `configure_windows_stdio`
- pty_bridge import-guard present in `web_server.py`
- README no longer says "not supported"
- 12 pre-existing tests in `tests/tools/test_windows_compat.py` still pass.
- `tests/hermes_cli/` ran fully (3909 passed, 9 failures — all confirmed
pre-existing on main by stash-test).
- `tests/gateway/` ran fully (5021 passed, 1 pre-existing failure).
- `tests/tools/test_process_registry.py` + `test_browser_*` pass.
- Manual smoke: `import hermes_cli.stdio; import gateway.run;
import hermes_cli.web_server` — all clean, `_PTY_BRIDGE_AVAILABLE=True`
on Linux (as expected).
## Files
- New: `hermes_cli/stdio.py`, `tests/tools/test_windows_native_support.py`
- Modified: `cli.py`, `gateway/run.py`, `hermes_cli/main.py`,
`hermes_cli/profiles.py`, `hermes_cli/gateway.py`,
`hermes_cli/kanban_db.py`, `hermes_cli/pty_bridge.py`,
`hermes_cli/web_server.py`, `tools/browser_tool.py`,
`tools/process_registry.py`, `pyproject.toml`, `README.md`, and 4
docs pages.
Credits to everyone whose prior PR work informed these fixes — see
the co-author trailers. All of the PRs listed in
`~/.hermes/plans/windows-support-prs.md` fixing `os.kill` / `signal.SIGKILL`
/ UTF-8 stdio / tzdata / README patterns found the same issues; this PR
consolidates them.
Co-authored-by: Philip D'Souza <9472774+PhilipAD@users.noreply.github.com>
Co-authored-by: Arecanon <42595053+ArecaNon@users.noreply.github.com>
Co-authored-by: XiaoXiao0221 <263113677+XiaoXiao0221@users.noreply.github.com>
Co-authored-by: Lars Hagen <1360677+lars-hagen@users.noreply.github.com>
Co-authored-by: Luan Dias <65574834+luandiasrj@users.noreply.github.com>
Co-authored-by: Ruzzgar <ruzzgarcn@gmail.com>
Co-authored-by: sprmn24 <oncuevtv@gmail.com>
Co-authored-by: adybag14-cyber <252811164+adybag14-cyber@users.noreply.github.com>
Co-authored-by: Prasanna28Devadiga <54196612+Prasanna28Devadiga@users.noreply.github.com>
Background macOS desktop control via cua-driver MCP — does NOT steal the
user's cursor or keyboard focus, works with any tool-capable model.
Replaces the Anthropic-native `computer_20251124` approach from the
abandoned #4562 with a generic OpenAI function-calling schema plus SOM
(set-of-mark) captures so Claude, GPT, Gemini, and open models can all
drive the desktop via numbered element indices.
- `tools/computer_use/` package — swappable ComputerUseBackend ABC +
CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary).
- Universal `computer_use` tool with one schema for all providers.
Actions: capture (som/vision/ax), click, double_click, right_click,
middle_click, drag, scroll, type, key, wait, list_apps, focus_app.
- Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style
`content: [text, image_url]` parts) that flows through
handle_function_call into the tool message. Anthropic adapter converts
into native `tool_result` image blocks; OpenAI-compatible providers
get the parts list directly.
- Image eviction in convert_messages_to_anthropic: only the 3 most
recent screenshots carry real image data; older ones become text
placeholders to cap per-turn token cost.
- Context compressor image pruning: old multimodal tool results have
their image parts stripped instead of being skipped.
- Image-aware token estimation: each image counts as a flat 1500 tokens
instead of its base64 char length (~1MB would have registered as
~250K tokens before).
- COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset
is active.
- Session DB persistence strips base64 from multimodal tool messages.
- Trajectory saver normalises multimodal messages to text-only.
- `hermes tools` post-setup installs cua-driver via the upstream script
and prints permission-grant instructions.
- CLI approval callback wired so destructive computer_use actions go
through the same prompt_toolkit approval dialog as terminal commands.
- Hard safety guards at the tool level: blocked type patterns
(curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash,
force delete, lock screen, log out).
- Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic)
workflow guide.
- Docs: `user-guide/features/computer-use.md` plus reference catalog
entries.
44 new tests in tests/tools/test_computer_use.py covering schema
shape (universal, not Anthropic-native), dispatch routing, safety
guards, multimodal envelope, Anthropic adapter conversion, screenshot
eviction, context compressor pruning, image-aware token estimation,
run_agent helpers, and universality guarantees.
469/469 pass across tests/tools/test_computer_use.py + the affected
agent/ test suites.
- `model_tools.py` provider-gating: the tool is available to every
provider. Providers without multi-part tool message support will see
text-only tool results (graceful degradation via `text_summary`).
- Anthropic server-side `clear_tool_uses_20250919` — deferred;
client-side eviction + compressor pruning cover the same cost ceiling
without a beta header.
- macOS only. cua-driver uses private SkyLight SPIs
(SLEventPostToPid, SLPSPostEventRecordTo,
_AXObserverAddNotificationAndCheckRemote) that can break on any macOS
update. Pin with HERMES_CUA_DRIVER_VERSION.
- Requires Accessibility + Screen Recording permissions — the post-setup
prints the Settings path.
Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic-
native schema). Credit @0xbyt4 for the original #3816 groundwork whose
context/eviction/token design is preserved here in generic form.
Adds one reserved token to the cron `deliver` field:
- `all` — expand to every platform with a configured home channel
Resolves at fire time, not create time, so a job created before Telegram
was wired up picks it up once `TELEGRAM_HOME_CHANNEL` is set. Composes
with existing targets: `origin,all`, `all,telegram:-100:17`.
Inspired by Vellum Assistant's reminder routing-intent system.
## Changes
- cron/scheduler.py: _expand_routing_tokens + integrate into _resolve_delivery_targets
- tools/cronjob_tools.py: schema description updated
- tests/cron/test_scheduler.py: TestRoutingIntents (5 cases)
- website/docs/user-guide/features/cron.md: docs + table rows
## Validation
- tests/cron/test_scheduler.py -k 'Routing or Deliver' → 57 passed
The kanban specifier landed in #21435 with feature-page docs (the
kanban page itself + the CLI reference table), but three other docs
pages enumerate every auxiliary task slot and were missed:
user-guide/configuration.md Auxiliary Models section —
interactive picker example
+ full auxiliary config
reference YAML block.
user-guide/features/fallback-providers.md
Both 'Auxiliary Tasks' and
'Fallback Reference' tables.
user-guide/features/kanban-tutorial.md
Triage-column bullet now
mentions the ✨ Specify
button + CLI + slash command.
No other docs enumerate the aux task slots (verified with
grep -r 'title_generation\|auxiliary.session_search' website/docs/).
* feat(kanban): add `specify` — auxiliary LLM fleshes out triage tasks
The Triage column shipped with a placeholder 'a specifier will flesh
out the spec', but the specifier itself was never built. This wires
it up as a dedicated CLI verb.
`hermes kanban specify <id>` calls the auxiliary LLM (configured under
`auxiliary.triage_specifier`) to expand a rough one-liner into a
concrete spec — tightened title plus a body with Goal / Approach /
Acceptance criteria / Out-of-scope sections — then atomically flips
`status: triage -> todo` and recomputes ready so parent-free tasks
go straight to the dispatcher on the same tick.
Surface:
hermes kanban specify <task_id> # single task
hermes kanban specify --all [--tenant T] # sweep triage column
hermes kanban specify ... --author NAME # audit-comment author
hermes kanban specify ... --json # one JSON line per task
Design choices:
- Parent gating is preserved. specify_triage_task flips to 'todo',
then recompute_ready promotes to 'ready' only when parents are
done — same rule as a normal parent-gated todo.
- No daemon, no background watcher. Every invocation is explicit —
keeps cost predictable and doesn't fight the dispatcher loop.
- Response parse is lenient: strict JSON preferred, markdown-fence
tolerated, raw-body fallback on malformed JSON so the LLM can't
strand a task in triage.
- All failure modes (no aux client, API error, task moved out of
triage mid-call) return SpecifyOutcome(ok=False, reason=...) so
--all continues past individual failures.
Changes:
hermes_cli/kanban_db.py + specify_triage_task()
hermes_cli/kanban_specify.py NEW (~220 LOC — prompt, parse, call)
hermes_cli/kanban.py + specify subcommand + _cmd_specify
hermes_cli/config.py + auxiliary.triage_specifier task slot
website/docs/user-guide/features/kanban.md specify + config notes
website/docs/reference/cli-commands.md CLI reference entry
tests/hermes_cli/test_kanban_specify_db.py NEW (10 tests)
tests/hermes_cli/test_kanban_specify.py NEW (20 tests)
Validation: 30/30 targeted tests pass. E2E: triage task -> specify ->
ends in 'ready' with events [created, specified, promoted] and the
audit comment recorded under the configured author.
* feat(kanban): wire specifier into dashboard and gateway slash
Follow-ups to the initial PR #21435 — closes the two gaps I'd left as
post-merge: dashboard button and first-class gateway surface.
Dashboard (plugins/kanban/dashboard/)
- POST /tasks/:id/specify NEW endpoint. Thin wrapper around
kanban_specify.specify_task(). Returns the CLI outcome shape
({ok, task_id, reason, new_title}); ok=false with a human reason
is a 200, not a 4xx, so the UI can render it inline without
treating 'no aux client configured' as a crash.
- Runs sync in FastAPI's threadpool because the LLM call can take
tens of seconds on reasoning models.
- Pins HERMES_KANBAN_BOARD around the specify call so the module's
argless kb.connect() lands on the right board.
- dist/index.js: doSpecify callback threaded through the drawer →
TaskDetail → StatusActions prop chain. ✨ Specify button appears
ONLY when task.status === 'triage' (elsewhere the backend would
reject anyway — hide the button to keep the action row clean).
Busy state (Specifying…) + inline success/error banner under the
button using the response.reason text.
- dist/style.css: tiny hermes-kanban-msg-ok / -err classes using
existing --color vars so themes reskin cleanly.
Gateway slash (/kanban specify)
- Already works via the existing run_slash → build_parser →
kanban_command pipeline. No code change needed — slash commands
inherit the argparse tree automatically. Added coverage:
test_run_slash_specify_end_to_end (create --triage, specify, verify
promotion + retitle) and test_run_slash_specify_help_is_reachable.
Tests
- tests/plugins/test_kanban_dashboard_plugin.py: 3 new tests for the
REST endpoint — happy path, non-triage rejection as ok=false 200,
missing aux client as ok=false 200.
- tests/hermes_cli/test_kanban_cli.py: 2 new slash-surface tests.
Docs
- website/docs/user-guide/features/kanban.md: dashboard action row
description mentions ✨ Specify + all three surfaces. REST table
gains /tasks/:id/specify. Slash examples include /kanban specify.
Validation: 340/340 targeted tests pass. E2E via TestClient: create a
triage task over REST → POST /specify with mocked aux client → task
moves to 'ready' column on /board with new title and body applied.
Follow-up to the previous commit which flipped 'hermes curator run'
default from async to sync. Updates the curator.md feature page and
cli-commands.md reference to show --background as the opt-in async
flag and note that the default now blocks until the LLM pass finishes.
Follow-up to #20958. The worker skill section had the same stale
'hermes skills install devops/kanban-worker' command — kanban-worker
is also bundled, so that command fails with 'Could not fetch from any
source.'
Replace with bundled-skill verification + restore pattern, matching
the orchestrator section. Uses <your-worker-profile> placeholder since
assignees vary (researcher, writer, ops, linguist, reviewer, etc.)
rather than a single fixed 'worker' profile.
Previous version read like internal API docs \u2014 leading with env var tables,
config YAML, and 'precedence' rules before ever explaining the product.
Complete rewrite inverts the structure so readers see value first,
mechanics last.
Structure now:
- Lede: 'One subscription. Every tool built in.' + pitch paragraph
- CTA: subscribe/manage button styled as a real call-to-action
- What's included: emoji-led table with expanded descriptions per tool.
Image gen lists all 9 models by name (FLUX 2 Klein/Pro, Z-Image Turbo,
Nano Banana Pro, GPT Image 1.5/2, Ideogram V3, Recraft V4 Pro, Qwen)
- Why it's here: value bullets \u2014 one bill, one signup, one key, same
quality, bring-your-own anytime
- Get started: two-command flow (hermes model \u2192 hermes status)
- Eligibility: paid-tier note with upgrade link
- Mix and match: three realistic usage patterns
- Using individual image models: ID reference table for power users
- --- separator ---
- Configuration reference (demoted): use_gateway flag, disabling,
self-hosted gateway env vars moved below the fold where they belong
- FAQ: streamlined, removed redundant content
Fact-checked against code:
- 9 FAL models confirmed from tools/image_generation_tool.py FAL_MODELS
- Status section output verified against hermes_cli/status.py
- Portal subscription URL preserved
- Self-hosted env vars (TOOL_GATEWAY_DOMAIN etc.) kept accurate
Verified: docusaurus build SUCCESS, page renders, no new broken links.
Same Hermes Teal palette as the default theme, but with baseSize 18px,
lineHeight 1.65, and spacious density so the whole dashboard scales up.
Gives users a one-click bigger-text preset and a copyable reference for
authoring custom YAML themes with their own typography settings.
Two pluggable surfaces were mentioned in the interfaces map without a
real authoring guide behind them:
1. **Image-gen backends** — only had 'See bundled examples' pointers.
Now a full developer-guide/image-gen-provider-plugin.md (270 lines)
mirroring the memory/context/model provider docs:
- How discovery works, directory structure, plugin.yaml
- ImageGenProvider ABC with every overridable method
(name, display_name, is_available, list_models, default_model,
get_setup_schema, generate)
- Full authoring walkthrough with a working MyBackendImageGenProvider
- Response-format reference (success_response / error_response)
- Handling b64 vs URL output (save_b64_image helper)
- User overrides at ~/.hermes/plugins/image_gen/<name>/
- Testing recipe + pip distribution
- Reference examples (openai, openai-codex, xai)
2. **Skill taps** — features/skills.md mentioned the CLI commands but
never explained the repo contract for publishing a tap. Added
'Publishing a custom skill tap' section under Skills Hub covering:
- Repo layout (skills/<name>/SKILL.md by default)
- Minimal working example
- Non-default path configuration (taps.json)
- Installing individual skills without subscribing
- Trust-level handling
- Full tap management CLI + in-session /skills tap commands
Wired into:
- website/sidebars.ts: image-gen-provider-plugin added to Extending group
- website/docs/user-guide/features/plugins.md: pluggable interfaces
table + 'What plugins can do' table now link to the real guides
instead of 'See bundled examples'
- website/docs/guides/build-a-hermes-plugin.md: top info map and
inline sub-sections updated, 'Full guide:' line added to
image-gen block, tap section mentions publishing
Verified: docusaurus build SUCCESS, new page renders at
/docs/developer-guide/image-gen-provider-plugin, anchor
#publishing-a-custom-skill-tap resolves from plugins.md +
build-a-hermes-plugin.md. Pre-existing zh-Hans broken links unchanged.
* docs(providers): add model-provider-plugin authoring guide + fix stale refs
New docs:
- website/docs/developer-guide/model-provider-plugin.md — full authoring
guide (directory layout, minimal example, ProviderProfile fields,
overridable hooks, user overrides, api_mode selection, auth types,
testing, pip distribution)
- Wired into website/sidebars.ts under 'Extending'
- Cross-references added in:
- guides/build-a-hermes-plugin.md (tip block)
- developer-guide/adding-providers.md
- developer-guide/provider-runtime.md
User guide:
- user-guide/features/plugins.md: Plugin types table grows from 3 to 4
with 'Model providers' row
Stale comment cleanup (providers/*.py → plugins/model-providers/<name>/):
- hermes_cli/main.py:_is_profile_api_key_provider docstring
- hermes_cli/doctor.py:_build_apikey_providers_list docstring
- hermes_cli/auth.py: PROVIDER_REGISTRY + alias auto-extension comments
- hermes_cli/models.py: CANONICAL_PROVIDERS auto-extension comment
AGENTS.md:
- Project-structure tree: added plugins/model-providers/ row
- New section: 'Model-provider plugins' explaining discovery, override
semantics, PluginManager integration, kind auto-coerce heuristic
Verified: docusaurus build succeeds, new page renders, all 3 cross-links
resolve. 347/347 targeted tests pass (tests/providers/,
tests/hermes_cli/test_plugins.py, tests/hermes_cli/test_runtime_provider_resolution.py,
tests/run_agent/test_provider_parity.py).
* docs(plugins): add 'pluggable interfaces at a glance' maps to plugins.md + build-a-hermes-plugin
Devs landing on either the user-guide plugin page or the build-a-plugin
guide now get an upfront table of every distinct pluggable surface with
a link to the right authoring doc. Previously they'd have to read the
full general-plugin guide to discover that model providers / platforms
/ memory / context engines are separate systems.
user-guide/features/plugins.md:
- New 'Pluggable interfaces — where to go for each' section below the
existing 4-kinds table
- 10 rows covering every register_* surface (tool, hook, slash command,
CLI subcommand, skill, model provider, platform, memory, context
engine, image-gen)
- Explicit note: TTS/STT are NOT plugin-extensible yet — documented
with a pointer to the current config.yaml 'command providers' pattern
and a note that register_tts_provider()/register_stt_provider() may
come later
guides/build-a-hermes-plugin.md:
- New :::info 'Not sure which guide you need?' map at the top so devs
see all pluggable interfaces before investing in this 737-line
general-plugin walkthrough
- Existing bottom :::tip expanded to include platform adapters alongside
model/memory/context plugins
Verified:
- All 8 cross-doc links in the new plugins.md table resolve in a
docusaurus build (SUCCESS, no new broken links)
- TTS link corrected (features/voice → features/tts; latter exists)
- Pre-existing broken links/anchors (cron-script-only, llms.txt,
adding-platform-adapters#step-by-step-checklist) are unchanged
* docs(plugins): correct TTS/STT pluggability \u2014 they ARE plugins (command-providers)
Previous commit incorrectly said TTS/STT 'aren't plugin-extensible'. They
are, via the config-driven command-provider pattern \u2014 any CLI that reads
text and writes audio (or vice versa for STT) is automatically a plugin
with zero Python. The tts.md docs cover this extensively and I missed it.
plugins.md:
- TTS row: 'Config-driven (not a Python plugin)', points at
tts.md#custom-command-providers
- STT row: points at tts.md#voice-message-transcription-stt (STT docs
live in tts.md despite the filename)
- Expanded note: TTS/STT use config-driven shell-command templates as
their plugin surface (full tts.providers.<name> registry for TTS;
HERMES_LOCAL_STT_COMMAND escape hatch for STT)
- Any CLI that reads/writes files is automatically a plugin \u2014 no Python
register_* API needed
- Future register_tts_provider()/register_stt_provider() hooks mentioned
as nice-to-have for SDK/streaming cases, not as the primary story
build-a-hermes-plugin.md:
- Same map update: TTS/STT rows explicit, footer note corrected
Verified:
- tts.md anchors (custom-command-providers, voice-message-transcription-stt)
exist and resolve in docusaurus build (SUCCESS, no new broken links)
* docs(plugins): expand pluggable interfaces table with MCP / event hooks / shell hooks / skill taps
Broadened the scope beyond Python register_* hooks. Hermes has MULTIPLE
plugin-style extension surfaces; they're now all in one table instead of
being scattered across feature docs.
Added rows for:
- **MCP servers** — config.yaml mcp_servers.<name> auto-registers external
tools from any MCP server. Huge extensibility surface, previously not
linked from the plugin map.
- **Gateway event hooks** — drop HOOK.yaml + handler.py into
~/.hermes/hooks/<name>/ to fire on gateway:startup, session:*, agent:*,
command:* events. Separate from Python plugin hooks.
- **Shell hooks** — hooks: block in config.yaml runs shell commands on
events (notifications, auditing, etc.).
- **Skill sources (taps)** — hermes skills tap add <repo> to pull in new
skill registries beyond the built-in sources.
Both docs updated:
- user-guide/features/plugins.md: table column renamed to 'How' (mixes
Python API + config-driven + drop-in-dir surfaces accurately)
- guides/build-a-hermes-plugin.md: :::info map at top mirrors the new
surfaces with a forward-link to the consolidated table
Note block rewritten: instead of singling out TTS/STT as the 'different
style' exception, now honestly describes that Hermes deliberately
supports three plugin styles — Python APIs, config-driven commands, and
drop-in manifest directories — and devs should pick the one that fits
their integration.
Not included (considered and rejected):
- Transport layer (register_transport) — internal, not user-facing
- Tool-call parsers — internal, VLLM phase-2 thing
- Cloud browser providers — hardcoded registry, not drop-in yet
- Terminal backends — hardcoded if/elif, not drop-in yet
- Skill sources (the ABC) — hardcoded list, only taps are user-extensible
Verified:
- All 5 new anchors resolve (gateway-event-hooks, shell-hooks, skills-hub,
custom-command-providers, voice-message-transcription-stt)
- Docusaurus build SUCCESS, zero new broken links
- Same 3 pre-existing broken links on main (cron-script-only, llms.txt,
adding-platform-adapters#step-by-step-checklist)
* docs(plugins): cover every pluggable surface in both the overview and how-to
Both plugins.md and build-a-hermes-plugin.md now cover every extension
surface end-to-end \u2014 general plugin APIs, specialized plugin types,
config-driven surfaces \u2014 with concrete authoring patterns for each.
plugins.md:
- 'What plugins can do' table grows from 9 rows (general ctx.register_*
only) to 14 rows covering register_platform, register_image_gen_provider,
register_context_engine, MemoryProvider subclass, register_provider
(model). Each row links to its full authoring guide.
- New 'Plugin sub-categories' section under Plugin Discovery explains
how plugins/platforms/, plugins/image_gen/, plugins/memory/,
plugins/context_engine/, plugins/model-providers/ are routed to
different loaders \u2014 PluginManager vs the per-category own-loader
systems.
- Explicit mention of user-override semantics at
~/.hermes/plugins/model-providers/ and ~/.hermes/plugins/memory/.
build-a-hermes-plugin.md:
- New '## Specialized plugin types' section (5 sub-sections):
- Model provider plugins \u2014 ProviderProfile + plugin.yaml example,
auto-wiring summary, link to full guide
- Platform plugins \u2014 BasePlatformAdapter + register_platform() skeleton
- Memory provider plugins \u2014 MemoryProvider subclass example
- Context engine plugins \u2014 ContextEngine subclass example
- Image-generation backends \u2014 ImageGenProvider + kind: backend example
- New '## Non-Python extension surfaces' section (5 sub-sections):
- MCP servers \u2014 config.yaml mcp_servers.<name> example
- Gateway event hooks \u2014 HOOK.yaml + handler.py example
- Shell hooks \u2014 hooks: block in config.yaml example
- Skill sources (taps) \u2014 hermes skills tap add example
- TTS / STT command templates \u2014 tts.providers.<name> with type: command
- Distribute via pip / NixOS promoted from ### to ## (they were orphaned
after the reorganization)
Each specialized / non-Python section has a concrete, copy-pasteable
example plus a 'Full guide:' link to the authoritative doc. Devs arriving
at the build-a-hermes-plugin guide now see every extension surface at
their disposal, not just the general tool/hook/slash-command surface.
Verified:
- Docusaurus build SUCCESS, zero new broken links
- All new cross-links (developer-guide/model-provider-plugin,
adding-platform-adapters, memory-provider-plugin, context-engine-plugin,
user-guide/features/mcp, skills#skills-hub, hooks#gateway-event-hooks,
hooks#shell-hooks, tts#custom-command-providers,
tts#voice-message-transcription-stt) resolve
- Same 3 pre-existing broken links on main (cron-script-only, llms.txt,
adding-platform-adapters#step-by-step-checklist)
* docs(plugins): fix opt-in inconsistency — not every plugin is gated
The 'Every plugin is disabled by default' statement was wrong. Several
plugin categories intentionally bypass plugins.enabled:
- Bundled platform plugins (IRC, Teams) auto-load so shipped gateway
channels are available out of the box. Activation per channel is via
gateway.platforms.<name>.enabled.
- Bundled backends (plugins/image_gen/*) auto-load so the default
backend 'just works'. Selection via <category>.provider config.
- Memory providers are all discovered; one is active via memory.provider.
- Context engines are all discovered; one is active via context.engine.
- Model providers: all 33 discovered at first get_provider_profile();
user picks via --provider / config.
The plugins.enabled allow-list specifically gates:
- Standalone plugins (general tools/hooks/slash commands)
- User-installed backends
- User-installed platforms (third-party gateway adapters)
- Pip entry-point backends
Which matches the actual code in hermes_cli/plugins.py:737 where the
bundled+backend/platform check bypasses the allow-list.
Rewrote '## Plugins are opt-in' to:
- Retitle to 'Plugins are opt-in (with a few exceptions)'
- Narrow opening claim to 'General plugins and user-installed backends
are disabled by default'
- Added 'What the allow-list does NOT gate' subsection with a full
table of which bypass the gate and how they're activated instead
- Fixed migration section wording (bundled platform/backend plugins
never needed grandfathering)
Verified: docusaurus build SUCCESS, zero new broken links.
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>
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 #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).
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
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.
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.
Steers custom tool creation toward the plugin route by default.
The adding-tools.md guide is now explicitly for built-in core Hermes
tools only.
Key fixes:
- Plugin quickstart: ctx.register_tool() now uses correct keyword-arg
API (name=, toolset=, schema=, handler=) instead of broken 3-arg call
- Handler signature: (params, **kwargs) instead of (params)
- Handler return: json.dumps({...}) instead of plain string
- AGENTS.md: mentions plugin route before built-in tool instructions
- learning-path.md: plugins listed before core tool development
- contributing.md: separates plugin vs core tool paths
Based on PR #13138 by @helix4u.
Followup to #19653. The feature PR updated the Kanban user guide but
missed four other pages that document the same surface. Caught when
Teknium asked 'did you add docs to the guide and any other kanban
related docs around this?'.
- reference/cli-commands.md: rewrite the `hermes kanban` section to
document the `--board <slug>` global flag, the `boards`
subcommand group (list/create/switch/show/rename/rm), board
resolution order, and worked examples. Also fills in the
`create` / `complete` flag lists that had drifted from the
current CLI (`--summary`, `--metadata`, `--triage`,
`--idempotency-key`, `--max-runtime`, `--skill`).
- reference/environment-variables.md: add `HERMES_KANBAN_BOARD`
row, update `HERMES_KANBAN_DB` precedence note.
- reference/slash-commands.md: add `/kanban boards ...` and
`/kanban --board <slug> ...` to the two `/kanban` rows (CLI
table + gateway table).
- features/kanban-tutorial.md: the walkthrough uses the `default`
board, so just a note pointing readers at the overview's Boards
section if they want multiple queues, plus the corrected per-board
DB path.
Skill docs (devops-kanban-orchestrator, -worker) intentionally not
updated: those are agent-facing lifecycle playbooks and boards are
transparent to workers (HERMES_KANBAN_BOARD env var pins the DB
automatically), so there's nothing new for a worker to know.
Adds first-class board support to kanban so users can separate unrelated
streams of work (projects, repos, domains) into isolated queues. Single-
project users stay on the 'default' board and see no UI change.
Isolation model
---------------
- Each board is a directory at `~/.hermes/kanban/boards/<slug>/` with
its own `kanban.db`, `workspaces/`, and `logs/`. The 'default' board
keeps its legacy path (`~/.hermes/kanban.db`) for back-compat — fresh
installs and pre-boards users get zero migration.
- Workers spawned by the dispatcher have `HERMES_KANBAN_BOARD` pinned in
their env alongside the existing `HERMES_KANBAN_DB` /
`HERMES_KANBAN_WORKSPACES_ROOT` pins, so workers physically cannot see
other boards' tasks.
- The gateway's single dispatcher loop now sweeps every board per tick;
per-tick cost is a few extra filesystem stats.
- CAS concurrency guarantees are preserved per-board (each board is its
own SQLite DB, same WAL+IMMEDIATE machinery as before).
CLI
---
hermes kanban boards list|create|switch|show|rename|rm
hermes kanban --board <slug> <any-subcommand>
Board resolution order: `--board` flag → `HERMES_KANBAN_BOARD` env →
`~/.hermes/kanban/current` file → `default`. Slug validation is strict:
lowercase alphanumerics + hyphens + underscores, 1-64 chars, starts with
alphanumeric. Uppercase is auto-downcased; slashes / dots / `..` /
control chars are rejected so boards can't name their way out of the
boards/ directory.
Passive discoverability: when more than one board exists, `hermes kanban
list` prints a one-line header ("Board: foo (2 other boards …)") so
users who stumble across multi-project never have to hunt for the
feature. Invisible for single-board installs.
Dashboard
---------
- New `BoardSwitcher` component at the top of the Kanban tab: dropdown
with all boards + task counts, `+ New board` button, `Archive`
button (non-default only). Hidden entirely when only `default` exists
and is empty — single-project users never see it.
- New `NewBoardDialog` modal: slug / display name / description / icon
+ "switch to this board after creating" checkbox.
- Selected board persists to `localStorage` so browser users don't
shift the CLI's active board out from under a terminal they left open.
- New `?board=<slug>` query param on every existing endpoint plus a
new `/boards` CRUD surface (`GET /boards`, `POST /boards`,
`PATCH /boards/<slug>`, `DELETE /boards/<slug>`,
`POST /boards/<slug>/switch`).
- Events WebSocket is pinned to a board at connection time; switching
opens a fresh WS against the new board.
Also fixes a pre-existing bug in the plugin's tenant / assignee
filters: the SDK's `Select` uses `onValueChange(value)`, not
native `onChange(event)`, so those filters silently didn't work.
New `selectChangeHandler` helper wires both signatures.
Tests
-----
49 new tests in `tests/hermes_cli/test_kanban_boards.py` covering:
slug validation (valid / invalid / auto-downcase), path resolution
(default = legacy path, named = `boards/<slug>/`, env var override),
current-board resolution chain (env > file > default), board CRUD +
archive / hard-delete, per-board connection isolation (tasks don't
leak), worker spawn env injection (`HERMES_KANBAN_BOARD`,
`HERMES_KANBAN_DB`, `HERMES_KANBAN_WORKSPACES_ROOT` all point at the
right board), and end-to-end CLI surface.
Regression surface: all 264 pre-existing kanban tests continue to pass.
Live-tested via the dashboard: created 3 boards (default,
hermes-agent, atm10-server), created tasks on each via both CLI
(`--board <slug> create`) and dashboard (inline create on the Ready
column), confirmed zero cross-board leakage, confirmed `BoardSwitcher`
+ `NewBoardDialog` work end-to-end in the browser.
* docs: document /kanban slash command
The kanban user guide and slash-commands reference only mentioned the
/kanban slash command in passing. Add a proper section covering:
- CLI and gateway both expose the full hermes kanban surface via
hermes_cli.kanban.run_slash (identical argument surface)
- Mid-run usage: /kanban bypasses the running-agent guard, so reads
and writes land immediately while an agent is still in a turn
- Auto-subscribe on /kanban create from the gateway — originating
chat is subscribed to terminal events, with a worked example
- Output truncation (~3800 chars) in messaging
- Autocomplete hint list vs full subcommand surface
Also adds /kanban rows to both slash-command tables (CLI + messaging)
in reference/slash-commands.md and moves it into the 'works in both'
notes bucket.
* docs(kanban): frame the model's tool surface as primary, CLI as the human surface
The kanban user guide and CLI reference read as if you drive the board
by running `hermes kanban` commands everywhere. In practice:
- **You** (human, scripts, cron, dashboard) use the `hermes kanban …`
CLI, the `/kanban …` slash command, or the REST/dashboard.
- **Workers** spawned by the dispatcher use a dedicated `kanban_*`
toolset (`kanban_show`, `kanban_complete`, `kanban_block`,
`kanban_heartbeat`, `kanban_comment`, `kanban_create`,
`kanban_link`) and never shell out to the CLI.
Changes to `user-guide/features/kanban.md`:
- New 'Two surfaces' intro distinguishes the two front doors up front.
- Quick-start section re-labelled so each step says who is running it
(you vs. orchestrator vs. worker).
- 'How workers interact with the board' rewritten:
- Lead with "Workers do not shell out to `hermes kanban`."
- Tool table extended with required params.
- Concrete worker-turn example (`kanban_show` → `kanban_heartbeat`
→ `kanban_complete`) and an orchestrator fan-out example
(`kanban_create` x N with `parents=[...]`).
- Moved 'Why tools not CLI' from a defensive aside to a clean
follow-up section.
- 'Worker skill' section explicitly says the lifecycle is taught
in tool calls, not CLI commands.
- 'Pinning extra skills' reordered — orchestrator tool form first
(the usual case), human/CLI second, dashboard third.
- 'Orchestrator skill' now shows a canonical `kanban_create` /
`kanban_link` / `kanban_complete` tool-call sequence instead of
only describing what the skill teaches.
- CLI-command-reference heading now clarifies this is the human
surface, with a cross-link to the tool-surface section.
- 'Runs — one row per attempt' structured-handoff example replaced:
the primary example is now `kanban_complete(summary=..., metadata=...)`
(what a worker actually does), with the CLI form retained as
"when you, the human, need to close a task a worker can't."
Changes to `reference/cli-commands.md`:
- `hermes kanban` intro marks itself as the human / scripting surface
and links out to the worker tool surface.
- Corrected `comment <id>` description — the next worker reads it via
`kanban_show()`, not by running `hermes kanban show`.
* docs(kanban-tutorial): reframe worker actions as tool calls
Honest answer to Teknium's follow-up: no, the first pass missed the
tutorial. The four stories all showed `hermes kanban claim /
complete / block / unblock` as if the backend-dev, pm, and reviewer
personas were humans running CLI commands. In a real hermes kanban
run those agents are dispatcher-spawned workers driving the board
through the `kanban_*` tool surface.
Changes:
- Setup intro now distinguishes the three surfaces up front
(dashboard / CLI for you, `kanban_*` tools for workers) and
establishes the convention: `bash` blocks are commands *you* run,
`# worker tool calls` blocks are what the agent emits.
- Story 1 (solo dev schema): 'Claim the schema task, do the work,
hand off' block replaced with the dispatcher spawning the
backend-dev worker and a `kanban_show → kanban_heartbeat →
kanban_complete` tool-call sequence. The 'On the CLI' `hermes
kanban show / runs` block re-labelled as 'you peeking at the board'
to keep it correct as a human inspection step.
- Story 2 (fleet farming): note about structured handoff updated
from `--summary` / `--metadata` CLI flags to
`kanban_complete(summary=..., metadata=...)` tool form.
- Story 3 (role pipeline): the big PM/engineer/reviewer block fully
rewritten as three worker tool-call sequences — PM worker
completes spec, engineer worker blocks, human/reviewer
`hermes kanban unblock` (or `/kanban unblock`), engineer worker
respawns and completes. The respawn-as-new-run mechanic is now
explicit.
- Reviewer paragraph: `build_worker_context` replaced with
`kanban_show()` — that's the tool that delivers the parent
handoff to the model.
- Structured handoff section heading and body updated:
`--summary`/`--metadata` → `summary`/`metadata` (tool params),
with a note that the tool surface doesn't expose a bulk variant
for the same reason the CLI refuses multi-task `complete`.
Story 4 (circuit breaker) unchanged — its workers fail to spawn,
so there are no tool calls to show; the `hermes kanban create` and
`hermes kanban runs` commands in it are correctly human-driven.
Point users to xAI's custom voices feature — clone your voice in the
console, paste the voice_id into tts.xai.voice_id. No code changes
needed; the existing TTS pipeline already handles arbitrary voice IDs.
- config.py: link to xAI custom voices docs in voice_id comment
- setup.py: prompt accepts custom voice IDs during xAI TTS setup
- tts.md: short section linking to xAI console and docs
* fix(curator): defer first run and add --dry-run preview (#18373)
Curator was meant to run 7 days after install, not on the very first
gateway tick. On a fresh install (no .curator_state), should_run_now()
returned True immediately because last_run_at was None — so the gateway
cron ticker fired Curator against a fresh skill library moments after
'hermes update'. Combined with the binary 'agent-created' provenance
model (anything not bundled and not hub-installed), this consolidated
hand-authored user workflow skills without consent.
Changes:
- should_run_now(): first observation seeds last_run_at='now' and returns
False. The next real pass fires one full interval_hours later (7 days
by default), matching the original design intent.
- hermes curator run --dry-run: produces the same review report without
applying automatic transitions OR permitting the LLM to call
skill_manage / terminal mv. A DRY-RUN banner is prepended to the
prompt and the caller skips apply_automatic_transitions. State is
NOT advanced so a preview doesn't defer the next scheduled real pass.
- hermes update: prints a one-liner on fresh installs pointing at
--dry-run, pause, and the docs. Silent on steady state.
- Docs: curator.md and cli-commands.md explain the deferred first-run
behavior and warn that hand-written SKILL.md files share the
'agent-created' bucket, with guidance to pin or preview before the
first pass.
Tests:
- test_first_run_defers replaces the old 'first run always eligible'
assertion — same fixture, inverted expectation.
- test_maybe_run_curator_defers_on_fresh_install covers the gateway tick
path end-to-end.
- Three new dry-run tests cover state-advance suppression, prompt
banner injection, and apply_automatic_transitions skipping.
Fixes#18373.
* feat(curator): pre-run backup + rollback (#18373)
Every real curator pass now snapshots ~/.hermes/skills/ into
~/.hermes/skills/.curator_backups/<utc-iso>/skills.tar.gz before calling
apply_automatic_transitions or the LLM review. If a run consolidates or
archives something the user didn't want touched, 'hermes curator
rollback' restores the tree in one command. Dry-run is skipped — no
mutation means no snapshot needed.
Changes:
- agent/curator_backup.py (new): tar.gz snapshot + safe rollback. The
snapshot excludes .curator_backups/ (would recurse) and .hub/ (managed
by the skills hub). Extract refuses absolute paths and .. components,
and uses tarfile's filter='data' on Python 3.12+. Rollback takes a
pre-rollback safety snapshot FIRST, stages the current tree into
.rollback-staging-<ts>/ so the extract lands in an empty dir, and
cleans the staging dir on success. A failed extract restores the
staged contents.
- agent/curator.py: run_curator_review() calls curator_backup.
snapshot_skills(reason='pre-curator-run') before apply_automatic_
transitions. Best-effort — a failed snapshot logs at debug and the
run continues (a transient disk issue shouldn't silently disable
curator forever).
- hermes_cli/curator.py: new 'hermes curator backup' and 'hermes curator
rollback' subcommands. rollback supports --list, --id <ts>, -y.
- hermes_cli/config.py: curator.backup.{enabled, keep} config block
with sane defaults (enabled=true, keep=5).
- Docs: curator.md gets a 'Backups and rollback' section; cli-commands
.md table gets the new rows.
Tests (new file tests/agent/test_curator_backup.py, 16 cases):
- snapshot creates tarball + manifest with correct counts
- snapshot excludes .curator_backups/ (recursion guard) and .hub/
- snapshot disabled via config returns None without creating anything
- snapshot uniquifies ids within the same second (-01 suffix)
- prune honors keep count, newest-first
- list_backups + _resolve_backup cover newest-default and unknown-id
- rollback restores a deleted skill with content intact
- rollback is itself undoable — safety snapshot shows up in list_backups
- rollback with no snapshots returns an error
- rollback refuses tarballs with absolute paths or .. components
- real curator runs take a 'pre-curator-run' snapshot; dry-runs do not
All curator tests: 210 passing locally.
Adds a proper feature page at user-guide/features/goals.md covering
the /goal slash command — Hermes' take on the Ralph loop shipped in
PR #18262. The slash-commands reference table had two table rows but
no narrative doc walking through the judge model, fail-open semantics,
turn budget, persistence, user-message preemption, or the aux-model
config override.
Adds a walkthrough example showing a multi-turn goal running to
completion, covers the two judge failure modes with how to recover,
and credits Codex CLI 0.128.0 / Eric Traut as prior art.
Also cross-links both slash-commands.md rows to the new page so
readers discovering /goal from the command reference can dive in.
Piper (OHF-Voice/piper1-gpl) is a fast, local neural TTS engine from the
Home Assistant project that supports 44 languages with zero API keys.
Adds it as a native built-in provider alongside edge/neutts/kittentts,
installable via 'hermes tools' with one keystroke.
What ships:
- New 'piper' built-in provider in tools/tts_tool.py
- Lazy import via _import_piper()
- Module-level voice cache keyed on (model_path, use_cuda) so switching
voices doesn't invalidate older cached voices
- _resolve_piper_voice_path() accepts either an absolute .onnx path or a
voice name (auto-downloaded on first use via 'python -m
piper.download_voices --download-dir <cache>')
- Voice cache at ~/.hermes/cache/piper-voices/ (profile-aware via
get_hermes_dir)
- Optional SynthesisConfig knobs: length_scale, noise_scale,
noise_w_scale, volume, normalize_audio, use_cuda — passed through
only when configured, so older piper-tts versions aren't broken
- WAV output then ffmpeg conversion path (same as neutts/kittentts) so
Telegram voice bubbles work when ffmpeg is present
- Piper added to BUILTIN_TTS_PROVIDERS so a user's
tts.providers.piper.command cannot shadow the native provider
(regression test included)
- 'hermes tools' wizard entry
- Piper appears under Voice and TTS as local free, with
'pip install piper-tts' auto-install via post_setup handler
- Prints voice-catalog URL and default-voice info after install
- config.yaml defaults
- tts.piper.voice defaults to en_US-lessac-medium
- Commented advanced knobs for discoverability
- Docs
- New 'Piper (local, 44 languages)' section in features/tts.md
explaining install path, voice switching, pre-downloaded voices,
and advanced knobs
- Piper listed in the ten-provider table and ffmpeg table
- Custom-command-providers section updated to drop the Piper example
(now native) and add a piper-custom example for users with their own
trained .onnx models
- overview.md bumps provider count to ten
- Tests (tests/tools/test_tts_piper.py, 16 tests)
- Registration (BUILTIN_TTS_PROVIDERS, PROVIDER_MAX_TEXT_LENGTH)
- _resolve_piper_voice_path across every branch: direct .onnx path,
cached voice name, fresh download with correct CLI args, download
failure, successful-exit-but-missing-files, empty voice to default
- _generate_piper_tts: loads voice once, reuses cache, voice-name
download wiring, advanced knobs flow through SynthesisConfig
- text_to_speech_tool end-to-end dispatch and missing-package error
- check_tts_requirements: piper availability toggles the return value
- Regression guard: piper cannot be shadowed by a command provider
with the same name
- Pre-existing test_tts_mistral test broadened to mock the new
piper/kittentts/command-provider checks (otherwise it false-passes
when piper is installed in the test venv)
E2E verification (live):
Actual pip install piper-tts, config piper + en_US-lessac-low,
text_to_speech_tool call, voice auto-downloaded from HuggingFace,
WAV synthesized, ffmpeg-converted to Ogg/Opus. Second call hits the
cache (~60ms). Cache dir populated with .onnx and .onnx.json.
This caught a real bug during development: the first pass used '-d' as
the download-dir flag; the actual piper.download_voices CLI wants
'--download-dir'. Fixed before PR opened.
Voscko reported curator.auxiliary.provider/model was advertised in the
docs but ignored — the review fork read only model.provider/default. The
narrow fix would wire the one-off key through, but that leaves curator
as a parallel system: not in `hermes model` → auxiliary picker, not in
the dashboard Models tab, missing per-task base_url/api_key/timeout/
extra_body.
Unify curator with the rest of the aux task system so `hermes model`
and the dashboard configure it like every other aux task.
Four sources of truth updated:
- hermes_cli/config.py — add 'curator' slot to DEFAULT_CONFIG.auxiliary
(timeout=600 since reviews run long), drop the one-off curator.auxiliary
block from DEFAULT_CONFIG.curator.
- hermes_cli/main.py — add ('curator', 'Curator', 'skill-usage review pass')
to _AUX_TASKS so the CLI picker offers it.
- hermes_cli/web_server.py — add 'curator' to _AUX_TASK_SLOTS so the
dashboard REST endpoint accepts it.
- web/src/pages/ModelsPage.tsx — add Curator entry so the dashboard
Models tab renders the task.
agent/curator.py _resolve_review_model() now reads auxiliary.curator
first (canonical), falls back to legacy curator.auxiliary (with an info
log asking users to migrate), then falls back to the main chat model.
Pre-unification users keep working.
Docs updated: docs/user-guide/features/curator.md now points at
`hermes model` → auxiliary → Curator and the dashboard Models tab.
Tests: 6 unit tests on _resolve_review_model (auto default, canonical
slot honored, partial override fallback, legacy fallback with
deprecation log assertion, new-wins-over-legacy, empty-config safety)
plus a cross-registry test that curator is wired into all four sources
of truth. test_aux_tasks_keys_all_exist_in_default_config already
covers the DEFAULT_CONFIG ↔ _AUX_TASKS invariant.
Reported by Voscko on Discord.
Reshape of PR #17211 (@versun). Lets users wire any local or external
TTS CLI into Hermes without adding engine-specific Python code. Users
declare any number of named providers in config.yaml and switch between
them with tts.provider: <name>, alongside the built-ins (edge, openai,
elevenlabs, …).
Config shape:
tts:
provider: piper-en
providers:
piper-en:
type: command
command: 'piper -m ~/model.onnx -f {output_path} < {input_path}'
output_format: wav
Placeholders: {input_path}, {text_path}, {output_path}, {format},
{voice}, {model}, {speed}. Use {{ / }} for literal braces.
Key behavior:
- Built-in provider names always win — a tts.providers.openai entry
cannot shadow the native OpenAI provider.
- type: command is the default when command: is set.
- Placeholder values are shell-quote-aware (bare / single / double
context), so paths with spaces and shell metacharacters are safe.
- Default delivery is a regular audio attachment. voice_compatible: true
opts in to Telegram voice-bubble delivery via ffmpeg Opus conversion.
- Command failures (non-zero exit, timeout, empty output) surface to
the agent with stderr/stdout included so you can debug from chat.
- Process-tree kill on timeout (Unix killpg, Windows taskkill /T).
- max_text_length defaults to 5000 for command providers; override
under tts.providers.<name>.max_text_length.
Tests: tests/tools/test_tts_command_providers.py — 42 new tests cover
provider resolution, shell-quote context, placeholder rendering with
injection payloads, timeout, non-zero exit, empty output, voice_compatible
opt-in, and end-to-end dispatch through text_to_speech_tool. All 88
pre-existing TTS tests still pass.
Docs: new "Custom command providers" section in
website/docs/user-guide/features/tts.md with three worked examples
(Piper, VoxCPM, MLX-Kokoro), placeholder reference, optional keys,
behavior notes, and security caveat.
E2E-verified live: isolated HERMES_HOME, command provider declared in
config.yaml, text_to_speech_tool dispatches through the registered
shell command and the output file is produced as expected.
Co-authored-by: Versun <me+github7604@versun.org>
