The Skills Hub page was stuck on a stale Feb 25 snapshot, showing only Built-in
+ Optional + Anthropic + LobeHub. The unified index already has 2078 skills
from skills.sh / ClawHub / LobeHub / GitHub taps / Claude Marketplace, and
BrowseShSource adds another ~330 — none of it was reaching the page.
Changes:
- website/scripts/extract-skills.py: read website/static/api/skills-index.json
(the unified multi-source catalog, rebuilt twice daily) as the canonical
external source. Keep the legacy skills/index-cache/ fallback for offline
builds. Add friendly per-source labels (skills.sh, ClawHub, browse.sh,
OpenAI, HuggingFace, Anthropic, LobeHub, etc.) and per-entry installCmd.
- website/src/pages/skills/index.tsx: add source pills + ordering for the 11
new sources; render installCmd from the index entry.
- website/scripts/prebuild.mjs: when no local skills-index.json exists, fetch
the live one from hermes-agent.nousresearch.com so local 'npm run build'
matches production without burning GitHub API quota.
- scripts/build_skills_index.py: crawl BrowseShSource so browse.sh entries
land in the unified index. Adjust source_order.
- tools/skills_hub.py: GitHubSource.DEFAULT_TAPS — openai/skills moved its
skills into skills/.curated/ and skills/.system/, so add both as explicit
taps (the listing code skips dotted dirs by design). Drop
VoltAgent/awesome-agent-skills (README-only, no SKILL.md files) and
MiniMax-AI/cli (singular skill, not a tap directory). Net effect: github
source jumps from 83 → 143 skills, with OpenAI properly included.
- .github/workflows/deploy-site.yml: build the unified index BEFORE running
extract-skills.py — previous order meant extract-skills always fell back
to the legacy cache. Drop the 'skip if file exists' guard; the file is
gitignored and must be rebuilt every deploy.
- .github/workflows/skills-index.yml: drop the broken 'deploy-with-index'
job (it cp'd 'landingpage/\*' which no longer exists, failing every cron
run since the landingpage move). Replace it with a workflow_dispatch
trigger of deploy-site.yml so the index refresh still reaches production
on schedule.
- website/docs/user-guide/features/skills.md: drop VoltAgent from the
default-taps doc list to match the code.
Before: 695 skills (Built-in 90, Optional 84, Anthropic 16, LobeHub 505).
After: 2168 skills across 9 source pills, including the 1212 skills.sh
entries the user expected to see.
Follow-up to #32053. The OAuth-over-SSH guide and the MCP feature page
previously only covered xAI and Spotify. Now that MCP servers can complete
OAuth via stdin paste-back on remote/headless hosts, document it.
oauth-over-ssh.md:
- Add MCP servers to the 'Which Providers Need This' table.
- New 'MCP Servers' section covering: paste-back (no setup, works
anywhere), SSH port forward (same pattern as xAI/Spotify), and the 30s
config-auto-reload race pitfall (use 'hermes mcp login <server>' from a
fresh terminal instead of editing config from inside a running session).
mcp.md:
- New 'OAuth-authenticated HTTP servers' section under HTTP servers,
covering auth: oauth config, token cache path, paste-back vs SSH
tunnel for headless hosts, and the same reload-race pitfall.
- Cross-links to the OAuth-over-SSH guide anchor.
Mirror of the TTS command-provider registry (PR #17843) for STT. Lets any
shell-driven ASR engine — Doubao ASR, NVIDIA Parakeet, whisper.cpp builds,
SenseVoice, curl pipelines — become an STT backend with zero Python.
Complements the legacy HERMES_LOCAL_STT_COMMAND escape hatch (preserved
untouched via the built-in local_command path) and the
register_transcription_provider() Python plugin hook also shipped in this
PR.
Resolution order (mirrors TTS exactly):
1. Built-in (local, local_command, groq, openai, mistral, xai)
→ native handler. Always wins.
2. stt.providers.<name>: type: command → command-provider runner.
3. Plugin-registered TranscriptionProvider → plugin dispatch.
4. No match → 'No STT provider available'.
Files
-----
- tools/transcription_tools.py: BUILTIN_STT_PROVIDERS frozenset retained;
added _resolve_command_stt_provider_config, _transcribe_command_stt,
and local helpers for template rendering, shell-quote context, and
process-tree termination. Helpers are documented as mirrors of their
tts_tool.py counterparts (kept local to avoid cross-tool private
import). Wire-in is one insertion point in transcribe_audio() after
the xai elif and before the plugin dispatcher. Plugin dispatcher
additionally defensively short-circuits when a same-name command
config exists (command-wins-over-plugin invariant).
- tests/tools/test_transcription_command_providers.py: 50 new tests
covering resolution (builtin precedence, type/command gating,
case-insensitive lookup, legacy stt.<name> back-compat), helpers
(timeout fallback, format validation, iter, has-any), template
rendering (shell-quote contexts, doubled-brace preservation),
end-to-end via _transcribe_command_stt (output_path read, stdout
fallback, timeout, nonzero exit envelope, model override,
language precedence), and dispatcher integration via the real
transcribe_audio() including command-wins-over-plugin and
builtin-shadow-rejection.
- tests/plugins/transcription/check_parity_vs_main.py: extended from
10 to 13 scenarios. New cases: command-provider-installed,
command-vs-plugin-same-name (verifies command wins precedence),
explicit-openai-with-command-shadow (verifies built-in wins).
Adds command_provider dispatch_kind detection via transcript prefix
(CMD: vs PLUGIN:) so command-provider scenarios can be distinguished
from plugin scenarios even when sharing a provider name.
- website/docs/user-guide/features/tts.md: new 'STT custom command
providers' section symmetric to the TTS section — example config,
placeholder grammar table (input_path / output_path / output_dir /
format / language / model), transcript-read-back semantics (file
first, then stdout fallback), optional keys table, behavior notes,
security note. Updated 'Python plugin providers (STT)' to include
the new 'When to pick which (STT)' decision table and updated
resolution-order section (now 4 layers instead of 3).
Verification
------------
189/189 STT targeted tests + 50/50 new command-provider tests pass.
Combined sweep: tests/tools/ 5576/5576, tests/agent/ + tests/hermes_cli/
8623/8623 — zero regressions across 14,199 tests.
Parity harness: 13 scenarios, 9 OK + 4 expected diffs
(no_provider_error → plugin, plugin_unavailable, command_provider × 2).
E2E live-verified in an isolated HERMES_HOME with a real .wav file:
command: → dispatched to stt.providers.my-fake-cli
plugin: → dispatched to registered TranscriptionProvider
command-wins-over-plugin: → command provider beats same-name plugin
builtin-wins-over-command: → built-in OpenAI handler fires;
stt.providers.openai: type: command
does NOT hijack it.
Add an opt-in Python plugin surface for speech-to-text backends,
mirroring the TTS hook pattern. New backends (OpenRouter, SenseAudio,
Gemini-STT, custom proprietary engines) can be implemented as plugins
without modifying tools/transcription_tools.py.
Built-ins always win
--------------------
The 6 built-in STT providers (local/faster-whisper, local_command,
groq, openai, mistral, xai) keep their native handlers. Plugins
attempting to register under a built-in name are rejected at
registration time with a warning and re-checked defensively at
dispatch.
Resolution order
----------------
1. stt.provider matches a built-in → built-in dispatch (unchanged)
2. stt.provider matches a registered plugin →
a. if plugin.is_available() returns False → unavailability envelope
identifying the plugin (not the generic "No STT provider"
message — the user explicitly opted into this plugin)
b. otherwise plugin.transcribe() with model + language forwarded
from stt.<provider>.{model,language} config
3. No match → legacy "No STT provider available" error (unchanged)
Per-provider config namespace
-----------------------------
Plugins read their config from stt.<provider> in config.yaml, mirroring
how built-ins read stt.openai.model / stt.mistral.model. The dispatcher
forwards `model` and `language` from this section. Caller's explicit
`model=` argument overrides the config-set model.
Files
-----
- agent/transcription_provider.py: TranscriptionProvider ABC
- agent/transcription_registry.py: register/get/list providers,
built-in shadow guard, _reset_for_tests
- hermes_cli/plugins.py: register_transcription_provider() on
PluginContext
- tools/transcription_tools.py: BUILTIN_STT_PROVIDERS frozenset,
_dispatch_to_plugin_provider() with availability gate, wire-in
after xai branch and before "No STT provider" error
- tests/agent/test_transcription_registry.py: 27 tests
- tests/hermes_cli/test_plugins_transcription_registration.py: 3 tests
- tests/tools/test_transcription_plugin_dispatch.py: 28 tests
(covering built-in short-circuit, plugin dispatch, exception
envelope, non-dict guard, availability gate, language forwarding)
- tests/plugins/transcription/check_parity_vs_main.py: 10-scenario
subprocess-pinned parity harness vs origin/main
- website/docs/user-guide/features/{tts,plugins}.md: docs
Behavior parity
---------------
10 scenarios, 8 OK + 2 expected DIFFs:
no_provider_error → plugin (plugin-installed scenario)
no_provider_error → plugin_unavailable (plugin-installed-unavailable
scenario; PR returns cleaner envelope)
Zero behavior change for users not opting into a plugin.
Issue follow-up to #30398.
The locale switcher appeared broken because hardcoded markdown links
(`](/docs/X)`) got double-prefixed by Docusaurus to `/docs/<locale>/docs/X`
(404) in non-English locales, and the MDX hero `<a href>` on the index
page escaped locale routing entirely.
Changes:
- Rewrite 922 `](/docs/X)` -> `](/X)` across 166 docs files (strip trailing
.md too). Docusaurus prepends locale + baseUrl itself.
- docs/index.md -> index.mdx; hero "Get Started" anchor -> Docusaurus
<Link> so it stays inside the active locale.
- Drop `ko` locale entirely from docusaurus.config.ts + delete i18n/ko/
(4 stale auto-translated kanban pages, <2% coverage, misleading).
Verified `npm run build` succeeds for both en and zh-Hans; `build/zh-Hans/
index.html` has no /docs/zh-Hans/docs/... double-prefixed paths.
PR2 will translate the 335 English docs into i18n/zh-Hans/.
X Premium+ also grants Grok OAuth access — the 'SuperGrok Subscription'
wording suggested SuperGrok was the only entitlement path. Updated to
'SuperGrok / Premium+' across the picker label, setup wizard, auth flows,
and docs so Premium+ subscribers know the row applies to them too.
Adds a `TTSProvider(ABC)` + `register_tts_provider()` extension point
to the plugin context API, **alongside** the existing config-driven
`tts.providers.<name>: type: command` registry from PR #17843. This is
additive — the command-provider surface stays as the primary way to
add a TTS backend.
The hook covers cases the shell-template grammar can't reasonably
express:
- Native Python SDKs without a CLI (Cartesia, Fish Audio, etc.)
- Streaming synthesis (chunked Opus → voice-bubble delivery)
- Voice metadata API for the `hermes tools` picker
- OAuth-refreshing auth flows
None of the 10 inline built-in providers (`edge`, `openai`,
`elevenlabs`, `minimax`, `gemini`, `mistral`, `xai`, `piper`,
`kittentts`, `neutts`) are migrated to plugins. They stay inline. The
hook is for *new* engines that aren't built-in.
## Resolution order
The dispatcher's resolution order is the load-bearing invariant:
1. `tts.provider` is a built-in name → built-in dispatch. **Always wins.**
2. `tts.provider` matches `tts.providers.<name>` with `command:` set
→ command-provider dispatch (PR #17843).
3. `tts.provider` matches a plugin-registered `TTSProvider`
→ plugin dispatch (new).
4. No match → falls through to Edge TTS default (legacy behavior).
Built-ins-always-win is enforced at THREE layers:
- Registry: `register_provider()` rejects shadowing names with a warning.
- Dispatcher: `_dispatch_to_plugin_provider()` short-circuits built-in
names defensively before consulting the registry.
- Picker: `_plugin_tts_providers()` filters built-in shadows out of
the `hermes tools` row list defensively.
Command-providers-win-over-plugins is enforced at TWO layers:
- The caller in `text_to_speech_tool` checks
`_resolve_command_provider_config` first.
- `_dispatch_to_plugin_provider` re-checks for a same-name command
config defensively so a refactor of the caller can't silently break
the invariant.
## New files
- `agent/tts_provider.py` — `TTSProvider(ABC)` with `synthesize()` (required),
`list_voices()`, `list_models()`, `get_setup_schema()`, `stream()`,
`voice_compatible` (all optional with sane defaults). Mirrors
`agent/image_gen_provider.py` shape.
- `agent/tts_registry.py` — `register_provider`/`get_provider`/`list_providers`
with `_BUILTIN_NAMES` reject-shadowing invariant. Mirrors
`agent/image_gen_registry.py` shape.
- `plugins/tts/...` directory ready for community plugins (none shipped).
## Modified files
- `hermes_cli/plugins.py` — `register_tts_provider()` method on
`PluginContext`. Matches the gating shape of
`register_image_gen_provider()` / `register_browser_provider()`.
- `tools/tts_tool.py` — `_dispatch_to_plugin_provider()` +
`_plugin_provider_is_voice_compatible()` + walrus-elif wiring into
the main dispatcher. Built-in elif chain untouched.
- `hermes_cli/tools_config.py` — `_plugin_tts_providers()` injects
plugin rows into the Text-to-Speech picker category alongside the
10 hardcoded built-in rows.
## Tests
- `tests/agent/test_tts_registry.py` — 47 tests covering registration,
lookup, ABC contract, helpers, AND a `TestBuiltinSync` regression
test that fails if `agent.tts_registry._BUILTIN_NAMES` drifts from
`tools.tts_tool.BUILTIN_TTS_PROVIDERS` (kept duplicated due to
circular import constraints).
- `tests/tools/test_tts_plugin_dispatch.py` — 35 tests covering
built-in-always-wins, command-wins-over-plugin, plugin dispatch,
exception passthrough, voice_compatible helper.
- `tests/hermes_cli/test_tts_picker.py` — 10 tests covering the
picker surface, builtin shadowing defense, integration with
`_visible_providers`.
- `tests/hermes_cli/test_plugins_tts_registration.py` — 3 end-to-end
tests via `PluginManager.discover_and_load()`.
- `tests/plugins/tts/check_parity_vs_main.py` — 9-scenario subprocess
parity harness vs `origin/main`. The only intentional diff is
`fallback_edge → plugin` for the `plugin-installed` scenario.
## Verification
- 95/95 new tests pass.
- 170/170 pre-existing TTS tests (test_tts_command_providers,
test_tts_max_text_length, test_tts_speed, etc.) pass unchanged.
- Parity harness against `origin/main`: 8 OK + 1 expected DIFF.
- E2E smoke: a registered plugin's `synthesize()` is called via
`text_to_speech_tool` with the standard JSON envelope returned.
- Ruff clean on all touched files.
## Docs
- `website/docs/user-guide/features/tts.md` — new "Python plugin
providers" section with a decision table (command-provider vs
plugin), minimal plugin example, and the optional-hook reference.
- `website/docs/user-guide/features/plugins.md` — TTS row updated to
mention both surfaces (command-provider primary, plugin for
SDK/streaming).
Closes#30398
First scratch workspace creation on an install now emits a one-shot
warning log + a 'tip_scratch_workspace' event on the task. Sentinel
file at ~/.hermes/kanban/.scratch_tip_shown silences subsequent
creations across the whole install.
Behavior unchanged — scratch is still ephemeral by design. This just
makes the design visible to new users (reported in user community:
'progress files vanished, no warning anywhere').
Docs (en + ko) updated to spell out 'Deleted when the task completes'
on the scratch bullet and 'Preserved on completion' on worktree/dir.
Follow-up to #30869. Adds Portal mentions on user-facing pages that
naturally call for an LLM + tool credentials but didn't previously
acknowledge Portal as a one-stop option.
- getting-started/installation.md: tip after the 'after install' block
pointing at 'hermes setup --portal' for users who want everything wired
at once instead of piecewise via 'hermes model' + 'hermes tools'.
- user-guide/configuring-models.md: small tip near the top — the page is
literally about provider/model choice and previously had zero Portal
mention.
- user-guide/features/voice-mode.md: Prerequisites need both an LLM and
TTS — a Portal subscription is the single setup that covers both.
- user-guide/features/batch-processing.md: highlights Portal as a
predictable-cost option for parallel agent runs that hit many APIs.
- user-guide/features/api-server.md: backend needs models + tools; one
Portal sub gives a fully-equipped OpenAI-compatible endpoint.
- user-guide/windows-native.md: early-beta users on Windows benefit most
from skipping per-tool Windows-key-juggling.
- integrations/providers.md: updates the existing Tool Gateway tip and
the Nous Portal section to mention the new commands.
- user-guide/features/fallback-providers.md: Nous row in the provider
table now lists 'hermes setup --portal' as the fresh-install path.
Tone discipline: one Portal mention per page, concrete CLI commands
(no marketing copy), always solving a problem the page itself sets up.
PR #30860 added a one-shot Portal setup command and a small portal CLI
surface. Update the docs so the new commands are discoverable without
upgrading the tone of existing Portal mentions.
- getting-started/quickstart.md: small tip near Choose a Provider
pointing at 'hermes setup --portal' as the easiest fresh-install path.
- user-guide/features/tool-gateway.md: lead the Get-Started section
with 'hermes setup --portal' for fresh installs, keep 'hermes model'
for already-configured users, and add 'hermes portal status / tools'
to the activity-check commands.
- user-guide/features/{web-search,image-generation,tts,browser}.md: the
existing 'Nous Subscribers' tip blocks now name the one-shot command
for new installs, keeping the existing 'hermes tools' path for users
who only want to swap a single backend.
- reference/cli-commands.md: register 'hermes portal' in the top-level
command table, add a 'hermes portal' section with subcommands, and
add '--portal' to the 'hermes setup' options table.
Tone: each page already had a Portal mention. This PR keeps the per-page
count to one and uses concrete CLI commands rather than promotional copy.
Tool Gateway page is the one exception (the whole doc is about Portal).
The xAI Responses API for x_search returns 200 OK with a
synthesized fluff answer in two failure modes that callers currently
cannot distinguish from a real, citation-backed result:
1. Any narrowing filter (allowed_x_handles, excluded_x_handles,
from_date, to_date) was active, but the X index returned no
matching posts. The model then answers from training data.
2. The date range is malformed, inverted, or pure-future (e.g.
from_date=2030-01-01). The API call burns quota and Grok
responds with a generic answer.
Mitigations, both client-side:
* Validate from_date / to_date before the HTTP call:
- Strict YYYY-MM-DD.
- from_date <= to_date when both set.
- from_date <= today UTC (no posts in a window that hasn't
started). to_date in the future remains allowed so callers
can request 'from yesterday to tomorrow'.
* Add 'degraded' + 'degraded_reason' to successful responses.
degraded=True iff any narrowing filter was active AND both the
top-level 'citations' array and inline 'url_citation'
annotations came back empty. A broad query with no filters that
returns no citations is *not* flagged degraded — that case is
just an unsourced answer, not a filter miss.
Tests cover all four validation paths plus six degraded-flag
scenarios (each filter type, inline vs top-level citation
recovery, broad query baseline). All existing tests continue to
pass; the additions are purely additive on the success-path
response shape.
Discovered while testing the x_search toolset end-to-end:
queries scoped to @Teknium1 returned confident-sounding generic
text about Nous Research with zero citations, and from_date in
2030 produced sassy non-answers. Both are now detectable by the
caller.
Add browser CDP launch candidates for Chrome, Chromium, Brave, and Edge while preserving Chrome-first selection. Retry candidate launch failures instead of giving up after the first executable.
Update /browser CLI and TUI messaging, docs, and tool descriptions from Chrome-only wording to Chromium-family browser support. Add regression coverage for Brave/Edge paths, Chrome-first precedence, fallback launches, and CDP endpoint probing.
The xAI Grok OAuth page only mentioned SuperGrok subscribers. An X
Premium+ subscription on the X account you sign in with also unlocks
Grok access via accounts.x.ai (xAI links the X subscription status to
the xAI session automatically — see https://docs.x.ai/grok/faq).
Updates the OAuth page title, prereqs, and overview table, plus the
provider/configuration/x-search docs that reference the OAuth flow.
Follow-up to #29042 (xAI Web Search provider plugin). Adds xAI to the
canonical user-facing and developer-facing docs, with the search-only
caveat and the LLM-in-a-trench-coat trust model carried over from the
class docstring.
- user-guide/features/web-search.md
- Backends table: new xAI row + extended search-only note
- New 'xAI (Grok)' setup section with config knobs and trust-model
caution admonition
- Single-backend yaml comment now lists 'xai'
- Auto-detection table: explicitly note that xAI is NOT auto-detected
(XAI_API_KEY is shared with inference/TTS/image-gen so we don't
silently take over web for users who only set it for chat)
- developer-guide/web-search-provider-plugin.md
- Added plugins/web/xai/ to the 'study these next' reference list
- reference/environment-variables.md
- XAI_API_KEY description now also mentions web search
Add browse.sh (browse-sh) to the supported-sources table and
integrated-hubs section in user-guide/features/skills.md, and to the
--source notes in reference/cli-commands.md. Companion to the
BrowseShSource adapter merged in #28936.
Follow-up to #28455. The respawn guard's blocker_auth rule (last error
matched a quota/auth/429 pattern) was auto-blocking the task on first
occurrence. That's too aggressive: transient rate limits typically
clear in seconds to minutes, but the auto-block puts the task in
'blocked' status which requires manual unblock.
Now treats blocker_auth the same as recent_success and active_pr:
defer the spawn this tick, leave the task in 'ready', let the next
tick try again. If the auth error genuinely persists, the existing
consecutive_failures counter trips the auto-block circuit breaker
after failure_limit failures via the normal path — so a persistent
401/403/quota-exhausted still ends up blocked, just not on first hit.
Also documents the respawn_guarded event in kanban.md's events table
with the three guard reasons.
Updated test_dispatch_respawn_guard_auto_blocks_auth_error → renamed
to test_dispatch_respawn_guard_defers_auth_error_without_auto_block;
asserts task stays in 'ready' and the guard reason is recorded.
Follow-up to #28452. detect_stale_running() was calling
_record_task_failure() on every reclaim, which ticked the
consecutive_failures counter. With the default failure_limit=2,
two legitimately long-running tasks (>4 h without explicit
heartbeat) would auto-block via the spawn-failure circuit
breaker — even though no worker actually failed.
Stale reclaim is dispatcher-side absence-of-heartbeat detection,
not a worker fault. Removed the _record_task_failure() call;
the 'stale' event in task_events is still the audit surface,
but the failure counter is now reserved for spawn_failed /
timed_out / crashed (real failures).
Also documents the heartbeat requirement:
- KANBAN_GUIDANCE in agent/prompt_builder.py now states the
rule ('call kanban_heartbeat at least once an hour for tasks
running longer than 1 hour') so workers learn the contract.
- kanban.md adds the stale event row to the events table and
flags the heartbeat requirement in the worker lifecycle list.
New regression test: test_detect_stale_does_not_tick_failure_counter
locks in the new behaviour.
Two coordinated changes that unblock downstream audio pipelines
(diarization, custom transcription, archival) on attachments larger
than the public Bot API's 20MB getFile ceiling.
- `stt.enabled: false` no longer drops voice/audio with a generic
"transcription disabled" note. The gateway probes the cached file's
duration (wave → mutagen → ffprobe ladder) and surfaces
`[The user sent a voice message: <abs path> (duration: M:SS)]` to
the agent so a skill or tool can pick up the raw file. The previous
placeholder is replaced rather than appended when present.
- `platforms.telegram.extra.base_url` set → adapter auto-lifts its
document size cap from 20MB to 2GB (the local telegram-bot-api
`--local` ceiling) and the "too large" reply reports the active
limit dynamically. No new config knob; presence of `base_url` is the
opt-in.
- `platforms.telegram.extra.local_mode: true` wires
`Application.builder().local_mode(True)` on the python-telegram-bot
builder. PTB then reads files from disk instead of HTTP, which is
required when telegram-bot-api runs in `--local` mode (the server
returns absolute filesystem paths, not `/file/bot...` URLs).
- gateway/run.py: rewrites the `stt.enabled: false` branch of
`_enrich_message_with_transcription`. New `_format_duration` +
`_probe_audio_duration` helpers.
- gateway/platforms/telegram.py: `_max_doc_bytes` instance attribute
derived from `extra.base_url`; `local_mode` builder wiring;
dynamic "too large" message.
- tests/gateway/test_stt_config.py: covers path-surfacing with and
without an existing user message, and placeholder replacement.
- tests/gateway/test_telegram_max_doc_bytes.py: 3 cases — default 20MB
without base_url, 2GB when set, empty-string base_url keeps default.
- website/docs/user-guide/messaging/telegram.md: new "Skipping STT"
subsection under Voice Messages and a full "Large Files (>20MB) via
Local Bot API Server" walkthrough (api_id/api_hash, docker-compose,
one-time `logOut` migration, `platforms.telegram.extra` config, the
`local_mode` disk-access requirement, the silent HTTP-fallback 404).
- website/docs/user-guide/features/voice-mode.md: documents the
`stt.enabled` knob in the config reference.
- `pytest tests/gateway/test_telegram_max_doc_bytes.py
tests/gateway/test_stt_config.py` → 9/9 passing.
- Verified end-to-end on a live deployment: gateway log shows
`Using custom Telegram base_url: http://...` and
`Using Telegram local_mode (read files from disk)` on startup;
voice messages above 20MB cache to disk and surface their path to
the agent.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
When Telegram topic mode is enabled, cron messages delivered to the bot's
root DM (TELEGRAM_HOME_CHANNEL without a thread id) land in the system
lobby — replies there are rebuffed with the lobby reminder and
reply_to_message_id is dropped, so users cannot interact with the cron
output (#24409).
Add an optional TELEGRAM_CRON_THREAD_ID env var that overrides
TELEGRAM_HOME_CHANNEL_THREAD_ID for cron deliveries only. Operators can
create a "Cron" forum topic in the DM, point this var at its thread id,
and replies to cron messages will land in that topic's existing session
instead of the lobby. The home-channel thread id (used elsewhere, e.g.
restart notifications) is unchanged, and explicit
deliver="telegram:chat:thread" targets continue to win over the env var.
Per the reporter's clarification on 2026-05-13, option (a) (cron-side
route to a dedicated topic + config knob) was chosen.
Fixes#24409
Skill bundles are tiny YAML files in ~/.hermes/skill-bundles/ that
group several skills under one slash command. Invoking /<bundle-name>
from any surface (CLI, TUI, dashboard, any gateway platform) loads
every referenced skill into a single combined user message.
Use cases:
- /backend-dev → loads github-code-review + test-driven-development
+ github-pr-workflow as one bundle.
- /research → loads several research skills together.
- Team task profiles shared via dotfiles.
Behavior:
- Bundles take precedence over individual skills when slugs collide.
- Missing skills are skipped with a note, not fatal.
- No system-prompt mutation — bundles generate a fresh user message
at invocation time, the same way /<skill> does. Prompt cache stays
intact.
- Works in CLI dispatch, gateway dispatch, autocomplete (CLI + TUI),
/help display.
Schema (~/.hermes/skill-bundles/<slug>.yaml):
name: backend-dev
description: Backend feature work.
skills:
- github-code-review
- test-driven-development
instruction: |
Optional extra guidance prepended to the loaded skills.
New module: agent/skill_bundles.py — load, scan, resolve, build
invocation message, save, delete. yaml.safe_load only; broken
bundles log a warning and are skipped, never raise.
New CLI subcommand: hermes bundles {list,show,create,delete,reload}.
Implementation in hermes_cli/bundles.py; wired in hermes_cli/main.py.
'bundles' added to _BUILTIN_SUBCOMMANDS so plugin discovery skips it.
New in-session slash command: /bundles lists installed bundles in
both CLI and gateway. /<bundle-name> dispatch added to CLI (cli.py)
and gateway (gateway/run.py) before the existing /<skill-name> path.
Autocomplete: SlashCommandCompleter gained an optional
skill_bundles_provider parameter that defaults to None — the prompt
shows '▣ <description> (N skills)' for bundles vs '⚡' for skills.
Tests:
- tests/agent/test_skill_bundles.py — 33 tests covering slugify,
scan/cache freshness, resolve (including underscore→hyphen
Telegram alias), build_bundle_invocation_message (loading, missing
skills, user/bundle instruction injection, dedup), save/delete,
reload diff, list sort.
- tests/hermes_cli/test_bundles.py — 8 tests for the CLI
subcommand (create/list/show/delete/reload, --force, missing
bundle errors).
- tests/gateway/test_bundles_command.py — 4 tests for the gateway
handler and bundle resolution priority.
Live E2E: verified subprocess invocations of hermes bundles
{list,create,show,reload,delete} round-trip correctly against an
isolated HERMES_HOME.
Docs:
- website/docs/user-guide/features/skills.md — new 'Skill Bundles'
section with quick example, YAML schema, management commands,
behavior notes.
- website/docs/reference/cli-commands.md — 'hermes bundles' added to
the top-level command table and given its own subcommand section.
Salvages #26496 by @aqilaziz. Adds branch_name column + CLI flag so
tasks with workspace_kind='worktree' can pin a target branch on
create. Schema migration added to _migrate_add_optional_columns.
- Task.branch_name field + DB column + migration
- create_task accepts branch_name kwarg
- hermes kanban create --branch <name> flag
- kanban show output includes 'Branch: <name>' when set
Cherry-picked the substantive commit (a7558cf27); the PR's tip was
an unrelated service-path-dirs commit. Resolved 2 INSERT-column-list
and show-output conflicts alongside main's session_id and
max_runtime_seconds additions; kept all three.
Salvages #28199 by @bensargotest-sys. Aligns Kanban docs with current
tool registration: dispatcher-spawned task workers get task tools,
profiles that explicitly enable the kanban toolset get orchestrator
routing tools (kanban_list, kanban_unblock). Corrects failure-limit
text to current default of 2. Hardens the e2e subprocess script to
resolve repo root and use the spawnable default assignee. Updates the
diagnostics severity fixture to assert error below the critical
threshold.
Update the Codex app-server runtime guide's Kanban section to reflect
the new behaviour:
* The sandbox override now adds the board DB directory plus every
Kanban path the dispatcher pinned (HERMES_KANBAN_WORKSPACES_ROOT,
HERMES_KANBAN_WORKSPACE, legacy HERMES_KANBAN_ROOT) -- deduplicated,
DB-dir first.
* The motivation note now includes the cross-mount artifact-write
scenario (e.g. ``/media/.../kanban-workspaces/...`` on a separate
drive) and links to issue #27941 so readers can find the original
bug report.
Salvages #21585 by @helix4u. Documents the protocol_violation event
(worker exits successfully while task is still running), adds
--max-retries to the create flag list and --failure-limit to dispatch.
Wrap existing box-drawing diagrams with ascii-guard markers so docs-site checks pass when website docs are touched.
Co-authored-by: Cursor <cursoragent@cursor.com>
The agent can now produce a chart, PDF, spreadsheet, or any other supported
file type and have it land in Slack / Discord / Telegram / WhatsApp / etc.
as a native attachment, just by mentioning the absolute path in its
response. Same primitive works for kanban-worker completions: workers
attach artifacts via kanban_complete(artifacts=[...]) and the gateway
notifier uploads them alongside the completion message.
Changes:
- gateway/platforms/base.py: extract_local_files now covers PDFs, docx,
spreadsheets (xlsx/csv/json/yaml), presentations (pptx), archives
(zip/tar/gz), audio (mp3/wav/...), and html — not just images and video.
Image/video extensions still embed inline; everything else routes to
send_document via the existing dispatch partition in gateway/run.py.
- tools/kanban_tools.py + hermes_cli/kanban_db.py: kanban_complete gains
an explicit ``artifacts`` parameter. The handler stashes it in
metadata.artifacts (for downstream workers) and the kernel promotes
it onto the completed-event payload so the notifier can find it
without a second SQL round-trip.
- gateway/run.py: _kanban_notifier_watcher now calls a new helper
_deliver_kanban_artifacts after sending the completion text. The
helper reads payload.artifacts (preferred), falls back to scanning
the payload summary and task.result with extract_local_files, then
partitions images / videos / documents and uploads each via
send_multiple_images / send_video / send_document.
- website/docs/user-guide/features/deliverable-mode.md + sidebars.ts:
user-facing docs page covering the extension list, the kanban
artifacts pattern, and the MCP-for-connector-breadth recommendation.
Tests:
- tests/gateway/test_extract_local_files.py: 7 new test cases
(documents, spreadsheets, presentations, audio, archives, html,
chart-pdf canonical case). 44 passing, 0 regressions.
- tests/tools/test_kanban_tools.py: 4 new cases covering the artifacts
arg shape (list / string / merge with existing metadata / type
rejection). 17 passing.
- tests/hermes_cli/test_kanban_notify.py: 2 new cases covering full
notifier → artifact-upload path and missing-file silent-skip. 12
passing.
- E2E (real files, real kanban kernel, real BasePlatformAdapter):
worker calls kanban_complete(artifacts=[png,pdf,csv]) → metadata +
event payload land → notifier helper partitions correctly →
send_multiple_images called once with the PNG, send_document called
twice with PDF + CSV.
What's NOT in this PR (deferred to follow-ups):
- Ad-hoc "research this for two hours, ping the thread when done"
slash command — covered today by kanban subscriptions; a dedicated
slash command can ride a follow-up PR if needed.
- Setup-wizard prompt for recommended MCP servers (Notion, GitHub,
Linear, etc.) — docs page lists them; UI is a separate change.
Plan and rationale captured in ~/.hermes/docs/perplexity-computer-parity.pdf
(local doc, not shipped).
Companion PR to #27590. Sweeps remaining stale references to the
LLM-summary path that landed in main with #27590 but weren't fully
caught in the followup cleanup commit.
Real rewrites:
- user-guide/sessions.md: 'Session Search Tool' section rewritten to
describe the three calling shapes (discovery / scroll / browse) with
worked examples. Adds the 'Optional parameters' subsection covering
sort and role_filter.
- user-guide/features/memory.md: 'Session Search' overview rewritten,
comparison table updated (speed: ms instead of LLM summarization,
added explicit free-cost row, link to sessions.md for details).
Stale-claim sweeps:
- user-guide/configuring-models.md: drop the 'Session Search' row from
the aux-model override table (no aux model anymore), drop session
search from the auxiliary-models list.
- user-guide/features/codex-app-server-runtime.md: drop session_search
from the ChatGPT-subscription cost note, drop the session_search
block from the per-task override config example.
- developer-guide/provider-runtime.md: drop 'session search
summarization' from the auxiliary tasks list.
- developer-guide/agent-loop.md: drop session search from the
auxiliary fallback chain list.
- user-guide/skills/.../autonomous-ai-agents-hermes-agent.md: drop
session_search from the 'auxiliary models not working' debug step.
Untouched (still accurate as tool-name mentions, not behavioral claims):
- features/tools.md, features/honcho.md, features/acp.md
- cli.md, sessions.md (other sections)
- developer-guide/tools-runtime.md, agent-loop.md (line 157)
- acp-internals.md, adding-tools.md, prompt-assembly.md
- reference/toolsets-reference.md, reference/tools-reference.md
* feat(session_search): single-shape tool with discovery, scroll, browse — no LLM
Replaces the LLM-summarized session_search with a single-shape tool that
returns actual messages from the DB. Three calling shapes inferred from
args (no mode parameter):
1. Discovery — pass query. FTS5 + anchored ±5 window + bookends per hit,
all in one call. ~20ms on a real DB instead of ~90s for the previous
three aux-LLM calls.
2. Scroll — pass session_id + around_message_id. Returns a window
centered on the anchor. To paginate, re-anchor on the first/last id
of the returned window. Boundary message appears in both windows
as the orientation marker. ~1ms per scroll call.
3. Browse — no args. Recent sessions chronologically.
Bookend_start (first 3 user+assistant msgs) and bookend_end (last 3) give
the agent goal + resolution on every discovery hit, so a single tool call
reconstructs a long session's arc without loading the whole transcript.
The aux-LLM summary path is gone: it cost ~$0.30/call, took ~30s, and
laundered FTS5 hits through a model that could confabulate when the right
session wasn't in the hit list. The merged shape returns byte-for-byte
content from SQLite.
History:
- PR #20238 (JabberELF) seeded the fast/summary dual-mode split.
- PR #26419 (yoniebans) expanded to fast/guided/summary with bookends,
multi-anchor drill-down, default-mode config, and a teaching skill.
This PR collapses that toolkit into one shape with explicit scroll
support, drops the summary path, drops the mode parameter, drops the
config knob, drops the skill. JabberELF's seed work is acknowledged via
the AUTHOR_MAP entry.
Validation:
- 38/38 tool tests pass (tests/tools/test_session_search.py)
- 12/12 get_messages_around tests pass (tests/hermes_state/)
- 11/11 get_anchored_view tests pass (tests/hermes_state/)
- Full tests/tools/ run: 5168 passing, 2 failures pre-exist on main
(test ordering in test_delegate.py, unrelated)
- E2E against live state DB: discovery 20ms, scroll 1ms, browse 280ms;
pagination forward+backward works with boundary-message orientation;
error paths return clean tool_error responses
Co-authored-by: JabberELF <abcdjmm970703@gmail.com>
Co-authored-by: yoniebans <jonny@nousresearch.com>
* chore(session_search): prune dead LLM-summary config and docs
Companion to the single-shape rewrite. The auxiliary.session_search config
block, max_concurrency / extra_body tunables, and matching docs sections
all referenced the removed LLM summarization path. Removing them so users
don't try to tune knobs that nothing reads.
- hermes_cli/config.py: drop dead auxiliary.session_search block from
DEFAULT_CONFIG. Leftover keys in user config.yaml are harmless and
ignored.
- hermes_cli/tips.py: drop two tips referencing the removed
max_concurrency / extra_body knobs.
- website/docs/user-guide/configuration.md: drop 'Session Search Tuning'
section and the auxiliary.session_search block from the example.
- website/docs/user-guide/features/fallback-providers.md: drop session_search
rows from the auxiliary-tasks tables and the dedicated tuning subsection.
- website/docs/reference/tools-reference.md: rewrite the session_search
entry to describe the new three-shape behaviour.
- CONTRIBUTING.md: update the file-tree description.
- tests/tools/test_llm_content_none_guard.py: remove TestSessionSearchContentNone
class and test_session_search_tool_guarded — both guard against an
unguarded .content.strip() call site in _summarize_session() that no
longer exists.
Validation: 97/97 targeted tests still pass (hermes_state + session_search +
llm_content_none_guard). Config tests 55/55.
---------
Co-authored-by: JabberELF <abcdjmm970703@gmail.com>
Co-authored-by: yoniebans <jonny@nousresearch.com>
Adds a new 'Auxiliary Capacity-Error Fallback' section to
website/docs/user-guide/features/fallback-providers.md covering:
- The 4-step ladder (primary → fallback_chain → main agent → warn)
- Which errors trigger fallback (402, 429 quota, connection) vs
which respect explicit provider choice (transient 429 rate limits)
- Optional fallback_chain config schema with vision + compression examples
- Recognized quota-error phrases (Bedrock, Vertex AI, generic)
Updates the bottom summary table — every auxiliary task now shows
'Layered (see above)' instead of 'Auto-detection chain' since
explicit-provider users also get the main-agent safety net.
* feat(kanban): orchestrator-driven auto-decomposition on triage
Closes the core gap in the kanban system: dropping a one-liner into Triage
now decomposes it into a graph of child tasks routed to specialist
profiles by description, matching teknium's original vision ("main
orchestrator splits/creates actual tasks, doles them out to each agent").
The build
---------
- hermes_cli/profiles.py: new `description` + `description_auto` fields
on ProfileInfo, persisted in <profile_dir>/profile.yaml. Helpers
read_profile_meta / write_profile_meta. `create_profile` accepts
optional description.
- hermes_cli/profile_describer.py: new module — auto-generate a 1-2
sentence description from a profile's skills + model + name via the
auxiliary LLM (`auxiliary.profile_describer`).
- hermes_cli/main.py: new `hermes profile create --description ...`
flag; new `hermes profile describe [name] [--text ... | --auto |
--all --auto]` subcommand.
- hermes_cli/kanban_db.py: new `decompose_triage_task` atomic helper —
creates N child tasks, links the root as a child of every leaf
(root waits for the whole graph), flips root `triage -> todo` with
orchestrator assignee, records an audit comment + `decomposed` event
in a single write_txn.
- hermes_cli/kanban_decompose.py: new module — calls the auxiliary LLM
(`auxiliary.kanban_decomposer`) with the profile roster + descriptions
to produce a JSON task graph, then invokes the DB helper. Rewrites
unknown assignees to the configured `kanban.default_assignee` (or
the active default profile) so a task NEVER lands with assignee=None.
Falls back to specify-style single-task promotion when the LLM
returns `fanout: false`.
- hermes_cli/kanban.py: new `hermes kanban decompose [task_id | --all]`
CLI verb.
- hermes_cli/config.py: new DEFAULT_CONFIG keys —
kanban.orchestrator_profile, kanban.default_assignee,
kanban.auto_decompose (default True), kanban.auto_decompose_per_tick
(default 3), auxiliary.kanban_decomposer, auxiliary.profile_describer.
- gateway/run.py: kanban dispatcher watcher now runs auto-decompose
before each `_tick_once`, capped by `auto_decompose_per_tick` so a
bulk-load of triage tasks doesn't burst-spend the aux LLM.
- plugins/kanban/dashboard/plugin_api.py: new endpoints —
GET /profiles (list roster + descriptions),
PATCH /profiles/<name> (set description, user-authored),
POST /profiles/<name>/describe-auto (LLM-generate),
POST /tasks/<id>/decompose (run decomposer),
GET/PUT /orchestration (orchestrator/default-assignee/auto-decompose
pickers, with resolved fallbacks echoed back).
- plugins/kanban/dashboard/dist/index.js: new OrchestrationPanel
collapsible — dropdowns for orchestrator profile and default
assignee, auto-decompose toggle, per-profile description editor with
Save and Auto-generate buttons. New ⚗ Decompose button next to
✨ Specify on triage-column task drawers.
Behavior
--------
- A task in Triage gets fanned out into a small DAG of child tasks.
Children with no internal parents flip to `ready` immediately
(parallel dispatch). Children with sibling parents wait. The root
stays alive as a parent of every child — when the whole graph
finishes, it promotes to `ready` and the orchestrator profile wakes
back up to judge completion (the "adds more tasks until done" part
of the original vision).
- `kanban.orchestrator_profile` unset -> falls back to the default
profile (whichever `hermes` launches with no -p flag).
- `kanban.default_assignee` unset -> same fallback. Tasks NEVER end
up unassigned.
- `kanban.auto_decompose=true` (default) runs the decomposer
automatically on dispatcher ticks; manual `hermes kanban decompose`
is always available.
Tests
-----
- tests/hermes_cli/test_kanban_decompose_db.py — 7 tests for the
atomic DB helper (status transitions, dep graph, audit trail,
validation errors).
- tests/hermes_cli/test_kanban_decompose.py — 6 tests for the
decomposer module (fanout, no-fanout fallback, unknown-assignee
rewrite, malformed-JSON resilience, no-aux-client path).
- tests/hermes_cli/test_profile_describer.py — 10 tests for
profile.yaml r/w + the LLM auto-describer (yaml corrupt tolerance,
user-vs-auto description protection, --overwrite, fallback parsing).
E2E
---
- CLI end-to-end: created profiles with descriptions, dropped a triage
task, mocked the aux LLM with a 3-task graph -> verified all three
children were created with the right assignees, the dependency
edges matched the LLM's graph, root flipped to todo gated by every
child, audit comment + `decomposed` event recorded.
- Dashboard end-to-end: started the dashboard against an isolated
HERMES_HOME, verified all four new endpoints via curl (profile
listing, PATCH for description, PUT for orchestration settings,
POST for decompose). Opened the UI in the browser, confirmed the
OrchestrationPanel renders with all three pickers + the per-profile
description editor, typed a description, clicked Save, verified
~/.hermes/profile.yaml was written. Clicked Decompose on the triage
card and confirmed the inline error message surfaced as designed
("no auxiliary client configured").
* feat(kanban): surface decompose mode (Auto/Manual) as a one-click pill
The auto/manual toggle already existed as kanban.auto_decompose (default
true), but it was buried inside the collapsed Orchestration settings
panel — users couldn't tell at a glance which mode they were in. This
hoists it to a pill at the top of the kanban page so the state is always
visible and one click flips it.
UX
- New "⚗ Decompose: AUTO|MANUAL" pill in the kanban header. Emerald
styling when Auto is on (the default), muted/gray when Manual.
- Pill is visible both in the collapsed AND expanded Orchestration
settings views so context is preserved when the user opens the panel.
- Tooltip explains both states + what clicking does.
- Renamed the in-panel "Auto-decompose on triage / Enabled" checkbox
to "Decompose mode / Auto (default) | Manual" for language parity
with the pill.
Behavior preserved
- Default remains Auto (kanban.auto_decompose=true).
- Manual mode restores pre-PR behavior: triage tasks stay in triage
until the user clicks ⚗ Decompose on each card (or runs
`hermes kanban decompose <id>`).
Implementation
- plugins/kanban/dashboard/dist/index.js: load /orchestration on mount
(not just on expand) so the collapsed pill reflects real state.
Render mode pill in both collapsed and expanded headers. Reuses the
existing PUT /api/plugins/kanban/orchestration endpoint — no new
backend, no new tests required.
E2E verified
- Pill renders as "⚗ Decompose: AUTO" on page load (default).
- One click flips to "⚗ Decompose: MANUAL" with muted styling.
- config.yaml on disk shows auto_decompose: false after the flip.
- Second click round-trips back to Auto; config.yaml flips to true.
* feat(kanban): rename mode pill to "Orchestration: Auto/Manual"
Per Teknium feedback — "Decompose" was too implementation-specific.
"Orchestration" is the user-facing concept (the whole pitch is the
orchestrator profile routing work), and the pill is the front door to it.
- Pill text: "Orchestration: Auto" / "Orchestration: Manual" (title case,
no ⚗ prefix, no SHOUTY-CAPS for the mode value)
- In-panel checkbox label: "Orchestration mode" (was "Decompose mode")
- Tooltips updated to match
- No behavior change
* docs(kanban): document decompose, profile descriptions, orchestration mode
Brings the docs site up to parity with the PR. English build verified
locally (npx docusaurus build --locale en) — clean, no new broken links
or anchors. Pre-existing broken-link warnings (rl-training, llms.txt,
step-by-step-checklist, fallback-model) untouched.
- website/docs/reference/cli-commands.md
+ `hermes kanban decompose` action row in the action table, with
pointer to the Auto vs Manual orchestration section.
- website/docs/reference/profile-commands.md
+ `--description "<text>"` flag on `hermes profile create`.
+ Full `hermes profile describe` section: read, --text, --auto,
--overwrite, --all flags with examples.
- website/docs/user-guide/features/kanban.md (the big one)
+ Triage column intro rewritten around the Auto-decompose default
behavior, with pointer to the new Auto vs Manual section.
+ Status action row updated to mention both ⚗ Decompose and
✨ Specify on triage cards.
+ New "Auto vs Manual orchestration" section explaining the two
modes, how to flip them (pill, config), how routing-by-description
works, the no-None-assignee guarantee, plus a config knob table
(auto_decompose, auto_decompose_per_tick, orchestrator_profile,
default_assignee) and the two new auxiliary slots
(kanban_decomposer, profile_describer).
+ REST surface table gains 6 new endpoint rows: /tasks/:id/decompose,
/profiles (GET), /profiles/:name (PATCH), /profiles/:name/describe-auto,
/orchestration (GET + PUT).
- website/docs/user-guide/features/kanban-tutorial.md
+ Triage column blurb updated for Auto by default + Manual via the
pill, with cross-link to the Auto vs Manual orchestration section.
- website/docs/user-guide/profiles.md
+ Blank-profile flow now mentions --description and points to the
kanban routing model for context.
- website/docs/user-guide/configuration.md
+ `kanban_decomposer` and `profile_describer` added to the
`hermes model -> Configure auxiliary models` menu listing.
The langfuse plugin is hooks-only (no toolsets), so it never appears in
`hermes tools` — that menu iterates `_get_effective_configurable_toolsets()`
(= `CONFIGURABLE_TOOLSETS` + plugin-registered toolsets), and "langfuse"
is in neither. The `TOOL_CATEGORIES["langfuse"]` setup wizard (with its
`post_setup: "langfuse"` hook that pip-installs the SDK and writes
`plugins.enabled`) was reachable only when a toolset key "langfuse" got
enabled, which can't happen — so it's been dead code, and the docs that
promised "Setup (interactive): hermes tools → Langfuse Observability"
were silently broken.
Right home for that wizard is `hermes plugins` (e.g. auto-running a
plugin's post-setup hook on enable), which is a generic plugin-setup
mechanism worth designing properly rather than shoehorning langfuse
back into `hermes tools`. Until that exists, point users at the
working manual flow.
Code:
- Delete `TOOL_CATEGORIES["langfuse"]` (24 lines) — unreachable.
- Delete the `post_setup_key == "langfuse"` branch in `_run_post_setup`
(29 lines) — only caller was the deleted TOOL_CATEGORIES entry.
Docs / comments (point at the manual flow + interactive `hermes plugins`):
- `plugins/observability/langfuse/README.md`: collapse the two-option
setup section to the single working flow.
- `plugins/observability/langfuse/plugin.yaml`: update `description`.
- `plugins/observability/langfuse/__init__.py`: update module docstring.
- `hermes_cli/config.py`: update inline comment above the LANGFUSE_*
env-var allow-list.
- `website/docs/user-guide/features/built-in-plugins.md`: collapse
"Setup (interactive)" + "Setup (manual)" into one accurate block.
- `website/docs/reference/environment-variables.md`: update the
cross-reference in the Langfuse env-vars section.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
`_discover_all_plugins()` in plugins_cmd.py did a flat scan of the
bundled and user plugin directories — only direct children with a
plugin.yaml were surfaced. Category directories like `observability/`,
`image_gen/`, `platforms/`, `model-providers/`, `web/`, and `video_gen/`
have no plugin.yaml of their own, so their nested plugins
(`observability/langfuse`, `image_gen/openai`, etc.) never appeared in
`hermes plugins list` or the interactive `hermes plugins` UI — even
though the runtime loader (`PluginManager._scan_directory_level`)
discovers them correctly and they do load at runtime.
This broke the documented promise that bundled plugins appear in
`hermes plugins list` and the interactive UI before being enabled,
and made it look like `observability/langfuse` didn't exist.
Refactor `_discover_all_plugins()` to mirror the loader's recursion
(depth cap = 2, same skip set, user overrides bundled on key collision).
Return the path-derived registry key (e.g. `observability/langfuse`) as
the displayed name, matching what the user passes to
`hermes plugins enable …` / writes under `plugins.enabled` in
config.yaml.
Also clarify the plugins docs: spell out that sub-category plugins
surface by their `<category>/<plugin>` key in `hermes plugins list` /
interactive UI, add an `observability/langfuse` example to the command
reference, and include a nested entry in the interactive-UI mock.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The video_gen toolset and its video_generate tool shipped without
user-facing reference docs. toolsets-reference.md and the dev-guide
plugin page were already in, but reference/tools-reference.md had no
video_gen section at all and user-guide/features/tools.md's Media row
didn't list video_generate.
- reference/tools-reference.md: add a video_gen section after video,
including backend list (xAI Grok-Imagine, FAL.ai Veo/Pixverse/Kling),
unified text-to-video / image-to-video surface note, link to the
dev-guide plugin page, and the video_generate tool row. Add
video_generate to the standalone-tools quick-counts line.
- user-guide/features/tools.md: extend Media row with video_generate
and video_analyze plus an opt-in caveat.
Port from openai/codex#17667: MCP servers can now opt-in to parallel
tool execution by setting supports_parallel_tool_calls: true in their
config. This allows tools from the same server to run concurrently
within a single tool-call batch, matching the behavior already available
for built-in tools like web_search and read_file.
Previously all MCP tools were forced sequential because they weren't in
the _PARALLEL_SAFE_TOOLS set. Now _should_parallelize_tool_batch checks
is_mcp_tool_parallel_safe() which looks up the server's config flag.
Config example:
mcp_servers:
docs:
command: "docs-server"
supports_parallel_tool_calls: true
Changes:
- tools/mcp_tool.py: Track parallel-safe servers in _parallel_safe_servers
set, populated during register_mcp_servers(). Add is_mcp_tool_parallel_safe()
public API.
- run_agent.py: Add _is_mcp_tool_parallel_safe() lazy-import wrapper. Update
_should_parallelize_tool_batch() to check MCP tools against server config.
- 11 new tests covering the feature end-to-end.
- Updated MCP docs and config reference.
* feat(x_search): gated X (Twitter) search tool with OAuth-or-API-key auth
Salvages tools/x_search_tool.py from the closed PR #10786 (originally by
@Jaaneek) and reworks its credential resolution so the tool registers
when EITHER xAI credential path is available:
* XAI_API_KEY (paid xAI API key) is set in ~/.hermes/.env or the env, OR
* The user is signed in via xAI Grok OAuth — SuperGrok subscription —
i.e. hermes auth add xai-oauth has been run
Both paths route through xAI's built-in x_search Responses tool at
https://api.x.ai/v1/responses. When both credentials exist OAuth wins,
matching tools/xai_http.py's existing preference order (uses SuperGrok
quota instead of paid API spend).
The check_fn calls resolve_xai_http_credentials() which auto-refreshes
the OAuth access token if it's within the refresh skew window, so a
True return means the bearer is fetchable AND non-empty.
Wiring
- tools/x_search_tool.py — new tool, ~370 LOC. Schema gated by check_fn,
bearer resolved per-call so revoked OAuth surfaces a clean tool_error
rather than an HTTP 401.
- toolsets.py — "x_search" toolset def. NOT added to _HERMES_CORE_TOOLS;
users opt in via hermes tools.
- hermes_cli/tools_config.py — CONFIGURABLE_TOOLSETS entry + TOOL_CATEGORIES
block with two provider options (OAuth + API key) sharing the existing
xai_grok post_setup hook for credential bootstrap.
- hermes_cli/config.py — DEFAULT_CONFIG["x_search"] with model /
timeout_seconds / retries. Additive nested key; no version bump.
- tests/tools/test_x_search_tool.py — 13 tests covering HTTP shape,
handle validation, citation extraction, 4xx/5xx/timeout handling,
and the full credential-resolution matrix (OAuth-only, API-key-only,
both-set, neither-set, resolver-raises, config overrides, registry
registration).
- website/docs/guides/xai-grok-oauth.md — adds X Search to the
direct-to-xAI tools section with off-by-default note.
- website/docs/user-guide/features/tools.md — new row in the tools table.
Off by default — users enable via `hermes tools` → 🐦 X (Twitter) Search.
Schema only appears to the model when xAI credentials are configured.
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* docs(x_search): add dedicated feature page + reference entries
- website/docs/user-guide/features/x-search.md (new) — full feature
walkthrough: authentication, enablement, configuration, parameters,
returned fields, example, troubleshooting, see-also links.
- website/docs/reference/tools-reference.md — new "x_search" toolset
section with parameter docs and credential gating note.
- website/docs/reference/toolsets-reference.md — new row in the
toolset catalog table.
- website/sidebars.ts — wires the new feature page under
Media & Web, after web-search.
---------
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
Two loopback-redirect OAuth flows (xAI Grok, Spotify) silently fail when
Hermes runs on a remote host: the auth server redirects to
127.0.0.1:<port> on the user's laptop, not on the remote box. The
--no-browser flag only suppresses webbrowser.open() — it doesn't change
the bind address. Symptom xAI surfaces is 'Could not establish
connection. We couldn't reach your app.', followed by a 'xAI
authorization timed out waiting for the local callback' on the CLI side.
Changes
- hermes_cli/auth.py: new _print_loopback_ssh_hint() helper, called from
_xai_oauth_loopback_login() and _spotify_login() right after they
print the redirect URI. Silent off SSH; on SSH prints the exact
'ssh -N -L <port>:127.0.0.1:<port>' command using the actually-bound
port (not the hardcoded constant — the listener auto-bumps when the
preferred port is busy), a provider-specific docs URL, and a link to
the new shared guide.
- website/docs/guides/oauth-over-ssh.md (new): single source of truth
for the tunnel pattern — TL;DR command, jump-box / ProxyJump variant,
mosh+tmux+ControlMaster gotchas, troubleshooting.
- website/docs/guides/xai-grok-oauth.md: fix the two sections that
claimed --no-browser alone was enough; link to the shared guide.
- website/docs/user-guide/features/spotify.md: expand the existing
one-liner; link to the shared guide.
- website/sidebars.ts: register the new page.
- tests/hermes_cli/test_auth_loopback_ssh_hint.py: 7 unit tests
covering SSH-vs-not, loopback-vs-not, malformed URIs, port echo,
with and without provider docs URL.
Follow-up to #26534 (xai-oauth provider). The new guide and integrations
page were shipped with the salvage, but four reference/enumeration pages
still listed every other OAuth provider without xai-oauth:
- reference/cli-commands.md — `--provider` choices list
- reference/environment-variables.md — HERMES_INFERENCE_PROVIDER values
- user-guide/configuration.md — auxiliary-task provider list, OAuth
tip block (mirrored from MiniMax OAuth),
and provider table row
- user-guide/features/fallback-providers.md — provider table
The Zed ACP Registry path (uvx --from 'hermes-agent[acp]==X' hermes-acp)
gets a Python-only install. Browser tools depend on the agent-browser npm
package + Chromium, neither of which are in the wheel. Without an
explicit bootstrap, registry users have no path to working browser tools.
Ship a bundled, idempotent bootstrap script (Linux/macOS bash + Windows
PowerShell) inside acp_adapter/bootstrap/ as wheel package-data. New
entry points:
hermes acp --setup-browser # interactive; prompts before Chromium download
hermes acp --setup-browser --yes # non-interactive
hermes-acp --setup-browser
The terminal-auth flow (hermes acp --setup) also offers the browser
bootstrap as a follow-up after model selection, so first-run registry
users get the option without knowing the flag exists.
Key design choices:
- npm install -g --prefix $NODE_PREFIX so we never need sudo. System Node
on PATH is respected; only the install target is redirected to the
user-writable Hermes-managed Node prefix.
- tools/browser_tool.py::_browser_candidate_path_dirs() already walks
$HERMES_HOME/node/bin, so installed binaries are discovered with no
agent-side code change.
- System Chrome/Chromium detection short-circuits the ~400 MB Playwright
download when a suitable browser already exists.
- Bash + PowerShell live as ONE copy each under acp_adapter/bootstrap/.
Not duplicated under scripts/. install.sh and install.ps1 keep their
inline browser blocks for the source-checkout path.
E2E validated end-to-end:
bash bootstrap_browser_tools.sh --skip-chromium
→ installs agent-browser into ~/.hermes/node/bin/
tools.browser_tool._find_agent_browser()
→ returns the installed path
check_browser_requirements()
→ returns True (browser tools register)
Tests:
- tests/acp/test_entry.py: 11 tests covering --setup-browser dispatch
(linux + windows + --yes forwarding + failure propagation), the
terminal-auth follow-up prompt path, and a package-data wheel-shipping
assertion that catches any future pyproject.toml regression.
Docs: website/docs/user-guide/features/acp.md gains a 'Browser tools
(optional)' subsection with the two-line install + what-it-does.
Adds three pre-run gate recipes to the cron docs:
- file-change gate (stat + mtime + state file)
- external-flag gate (file presence)
- SQL-count gate (user's own database, not state.db)
These are the use cases @iankar8 proposed adding as a parallel
'trigger' subsystem in #2654. The existing `script` + `wakeAgent`
gate already covers all three at $0 — this lands the patterns as
documentation so users can find them, instead of adding a second
gating mechanism to the cron subsystem.
Adds Hugging Face's official skill catalog to the default GitHub taps and
classifies it as a trusted source alongside openai/skills and anthropics/skills.
- tools/skills_guard.py: huggingface/skills -> TRUSTED_REPOS
- tools/skills_hub.py: GitHubSource.DEFAULT_TAPS += huggingface/skills (skills/)
- website/docs: list it under default taps + trusted-source examples
Closes#2549.
Co-authored-by: teknium1 <127238744+teknium1@users.noreply.github.com>
The ACP Registry schema supports uvx as a first-class distribution method
alongside npx and binary. Pointing the registry directly at the existing
hermes-agent PyPI release removes:
- the @nousresearch npm scope (we don't own it)
- a separate npm publish step on every weekly release
- 90 lines of Node launcher + tests in packages/hermes-agent-acp/
The Zed registry now installs Hermes via:
uvx --from 'hermes-agent[acp]==<version>' hermes-acp
This is the same command the npm launcher was shelling out to anyway, so
end-user behavior is unchanged. Registry CI validates the PyPI URL +
version-pin exact match automatically.
Changes:
- acp_registry/agent.json: distribution.npx -> distribution.uvx
- delete packages/hermes-agent-acp/ entirely
- scripts/release.py: drop npm-launcher bump paths, keep manifest lockstep
- tests/acp/test_registry_manifest.py: assert uvx shape + version pin
- tests/scripts/test_release_acp_registry.py: rewrite for uvx-only shape
- docs (user-guide + dev-guide): drop all npm-launcher references
- delete docs/plans/acp-registry-zed-integration.md (stale, npm-shaped)
Validated against agentclientprotocol/registry agent.schema.json via
jsonschema. hermes-agent==0.13.0 is already live on PyPI.
Follow-up to the sandbox-bypass env-var fix:
- Update the opt-out gate so a user-provided AGENT_BROWSER_ARGS is also
respected, not just the legacy AGENT_BROWSER_CHROME_FLAGS. Previously
the gate only checked the broken legacy var, so a user who pre-set
AGENT_BROWSER_ARGS would still get clobbered by Hermes's auto-injection.
- Document AGENT_BROWSER_ARGS in .env.example, the browser feature page,
and the env var reference, with notes about the auto-injection on
AppArmor-restricted systems (Ubuntu 23.10+, DGX Spark, containers).
- Add Anadi Jaggia to AUTHOR_MAP.
Adds 'hermes proxy start' — a local HTTP server that lets external apps
(OpenViking, Karakeep, Open WebUI, ...) use a Hermes-managed provider
subscription as their LLM endpoint. The proxy attaches the user's real
OAuth-resolved credentials to each forwarded request, refreshing them
automatically; the client can send any bearer (it gets stripped).
Ships with one adapter — Nous Portal. The UpstreamAdapter ABC and
registry in hermes_cli/proxy/adapters/ are designed for additional
OAuth providers to plug in by name without server changes.
Commands:
hermes proxy start [--provider nous] [--host 127.0.0.1] [--port 8645]
hermes proxy status
hermes proxy providers
Allowed Portal paths: /v1/chat/completions, /v1/completions,
/v1/embeddings, /v1/models. Anything else returns 404 with a clear
error pointing at the allowed list.
aiohttp is gated like gateway/platforms/api_server.py (try-import,
clean runtime error if missing). No new core dependency.
Tests: 24 unit tests + 1 separate E2E that spawns the real subprocess
and verifies the upstream receives the right bearer with the client's
header stripped.
The word "worktree" (a git subcommand feature for parallel checkouts)
was used interchangeably with "repository" in the LSP docs, causing
confusion. LSP only requires a git-initialized directory, not an actual
worktree.
Fixes two instances: section "When LSP runs" and the troubleshooting
"Editing a file outside any git repo" heading.
Followup to PR #24182 — caught when scanning OpenClaw for recent codex
fixes we hadn't considered. OpenClaw learned the hard way (#80815) that
migrating plugins which codex itself reports as unavailable produces
config that fails at activation time.
Our /codex-runtime codex_app_server enable path queries codex's
plugin/list and migrates everything where installed=true. We were
trusting codex's installation state and ignoring its availability
field. So a plugin that's installed=true but availability=UNAVAILABLE
(broken local install) or REQUIRES_AUTH (OAuth expired or never
completed) would get an [plugins."<n>@openai-curated"] entry in
~/.codex/config.toml — and the user's first codex turn after enabling
the runtime would fail because codex refuses to activate it.
Fix: filter on availability in _query_codex_plugins(). Only emit
plugins where availability is empty (older codex versions without the
field — preserve backward compat) or explicitly AVAILABLE.
Tests:
test_plugin_discovery_skips_unavailable_plugins — verifies 4 cases:
- good-plugin (installed=True, availability=AVAILABLE) → migrated
- broken-plugin (installed=True, availability=UNAVAILABLE) → skipped
- auth-pending (installed=True, availability=REQUIRES_AUTH) → skipped
- legacy-plugin (installed=True, no availability field) → migrated
(older codex versions; preserve backward compat)
Docs:
Added bullet to 'What's NOT migrated' list in the docs page calling
out the availability filter and why.
Other OpenClaw codex PRs I reviewed but did NOT apply (with reasoning):
- #81591 (load Codex for selectable models): we resolve runtime
per-call already, no startup-time gating to fix
- #81510 (cron compatibility): we documented cron as untested; their
fix is for OpenClaw-specific cron orchestration shape
- #81223 (rotate incompatible context-engine threads): we don't
have a Lossless context engine equivalent
- #80688 (constrain sandbox): we don't have an outer-sandbox concept
- #80616 (release on turn_aborted): we already handle status=
interrupted in turn/completed correctly
- #80278 (expose activeModel in plugin SDK): not our surface
- #80792 (default destructive_actions on): we don't expose that knob
56 codex-runtime migration tests still green (+1 new).
* feat(codex-runtime): scaffold optional codex app-server runtime
Foundational commit for an opt-in alternate runtime that hands OpenAI/Codex
turns to a 'codex app-server' subprocess instead of Hermes' tool dispatch.
Default behavior is unchanged.
Lands in three pieces:
1. agent/transports/codex_app_server.py — JSON-RPC 2.0 over stdio speaker
for codex's app-server protocol (codex-rs/app-server). Spawn, init
handshake, request/response, notification queue, server-initiated
request queue (for approval round-trips), interrupt-friendly blocking
reads. Tested against real codex 0.130.0 binary end-to-end during
development.
2. hermes_cli/runtime_provider.py:
- Adds 'codex_app_server' to _VALID_API_MODES.
- Adds _maybe_apply_codex_app_server_runtime() helper, called at the
end of _resolve_runtime_from_pool_entry(). Inert unless
'model.openai_runtime: codex_app_server' is set in config.yaml AND
provider in {openai, openai-codex}. Other providers cannot be
rerouted (anthropic, openrouter, etc. preserved).
3. tests/agent/transports/test_codex_app_server_runtime.py — 24 tests
covering api_mode registration, the rewriter helper (default-off,
case-insensitive, opt-in, non-eligible providers preserved), version
parser, missing-binary handling, error class. Does NOT require codex
CLI installed.
This commit is wire-only: the api_mode is recognized but AIAgent does
not yet branch on it. Followup commits add the session adapter, event
projector, approval bridge, transcript projection (so memory/skill
review still works), plugin migration, and slash command.
Existing tests remain green:
- tests/cli/test_cli_provider_resolution.py (29 passed)
- tests/agent/test_credential_pool_routing.py (included above)
* feat(codex-runtime): add codex item projector for memory/skill review
The translator that lets Hermes' self-improvement loop keep working under the
Codex runtime: converts codex 'item/*' notifications into Hermes' standard
{role, content, tool_calls, tool_call_id} message shape that
agent/curator.py already knows how to read.
Item taxonomy (matches codex-rs/app-server-protocol/src/protocol/v2/item.rs):
- userMessage → {role: user, content}
- agentMessage → {role: assistant, content: text}
- reasoning → stashed in next assistant's 'reasoning' field
- commandExecution → assistant tool_call(name='exec_command') + tool result
- fileChange → assistant tool_call(name='apply_patch') + tool result
- mcpToolCall → assistant tool_call(name='mcp.<server>.<tool>') + tool result
- dynamicToolCall → assistant tool_call(name=<tool>) + tool result
- plan/hookPrompt/etc → opaque assistant note, no fabricated tool_calls
Invariants preserved:
- Message role alternation never violated: each tool item produces at most
one assistant + one tool message in that order, correlated by call_id.
- Streaming deltas (item/<type>/outputDelta, item/agentMessage/delta)
don't materialize messages — only item/completed does. Mirrors how
Hermes already only writes the assistant message after streaming ends.
- Tool call ids are deterministic (codex item id-based) so replays produce
identical messages and prefix caches stay valid (AGENTS.md pitfall #16).
- JSON args use sorted_keys for the same reason.
Real wire formats verified against codex 0.130.0 by capturing live
notifications from thread/shellCommand and including one as a fixture
(COMMAND_EXEC_COMPLETED).
23 new tests, all green:
- Streaming deltas don't materialize (3 paths)
- Turn/thread frame events are silent
- commandExecution: 5 tests including non-zero exit annotation +
deterministic id stability across replays
- agentMessage + reasoning attachment + reasoning consumption
- fileChange: summary without inlined content
- mcpToolCall: namespaced naming + error surfacing
- userMessage: text fragments only (drops images/etc)
- opaque items: no fabricated tool_calls
- Helpers: deterministic id stability + sorted JSON args
- Role alternation invariant across all four tool-shaped item types
This commit is a pure addition. AIAgent integration (the wire that uses the
projector) is the next commit.
* feat(codex-runtime): add session adapter + approval bridge
The third self-contained module: CodexAppServerSession owns one Codex
thread per Hermes session, drives turn/start, consumes streaming
notifications via CodexEventProjector, handles server-initiated approval
requests, and translates cancellation into turn/interrupt.
The adapter has a single public per-turn method:
result = session.run_turn(user_input='...', turn_timeout=600)
# result.final_text → assistant text for the caller
# result.projected_messages → list ready to splice into AIAgent.messages
# result.tool_iterations → tick count for _iters_since_skill nudge
# result.interrupted → True on Ctrl+C / deadline / interrupt
# result.error → error string when the turn cannot complete
# result.turn_id, thread_id → for sessions DB / resume
Behavior:
- ensure_started() spawns codex, does the initialize handshake, and
issues thread/start with cwd + permissions profile. Idempotent.
- run_turn() blocks until turn/completed, drains server-initiated
requests (approvals) before reading notifications so codex never
deadlocks waiting for us, projects every item/completed via the
projector, and increments tool_iterations for the skill nudge gate.
- request_interrupt() is thread-safe (threading.Event); the next loop
iteration issues turn/interrupt and unwinds.
- turn_timeout deadlock guard issues turn/interrupt and records an
error if the turn never completes.
- close() escalates terminate → kill via the underlying client.
Approval bridge:
Codex emits server-initiated requests for execCommandApproval and
applyPatchApproval. The adapter translates Hermes' approval choice
vocabulary onto codex's decision vocabulary:
Hermes 'once' → codex 'approved'
Hermes 'session' or 'always' → codex 'approvedForSession'
Hermes 'deny' / anything else → codex 'denied'
Routing precedence:
1. _ServerRequestRouting.auto_approve_* flags (cron / non-interactive)
2. approval_callback wired by the CLI (defers to
tools.approval.prompt_dangerous_approval())
3. Fail-closed denial when neither is wired
Unknown server-request methods are answered with JSON-RPC error -32601
so codex doesn't hang waiting for us.
Permission profile mapping mirrors AGENTS.md:
Hermes 'auto' → codex 'workspace-write'
Hermes 'approval-required' → codex 'read-only-with-approval'
Hermes 'unrestricted/yolo' → codex 'full-access'
20 new tests, all green. Combined with prior commits this PR now has
67 tests across three modules:
- test_codex_app_server_runtime.py: 24 (api_mode + transport surface)
- test_codex_event_projector.py: 23 (item taxonomy projections)
- test_codex_app_server_session.py: 20 (turn loop + approvals + interrupts)
Full tests/agent/transports/ directory: 249/249 pass — no regressions
to existing transport tests.
Still no wire into AIAgent.run_conversation(); that integration commit
is small and goes next.
* feat(codex-runtime): wire codex_app_server runtime into AIAgent
The integration commit. AIAgent.run_conversation() now early-returns to a
new helper _run_codex_app_server_turn() when self.api_mode ==
'codex_app_server', bypassing the chat_completions tool loop entirely.
Three small surgical edits to run_agent.py (~105 LOC total):
1. Line ~1204 (constructor api_mode validation set):
Add 'codex_app_server' so an explicit api_mode='codex_app_server'
passed to AIAgent() isn't silently rewritten to 'chat_completions'.
2. Line ~12048 (run_conversation, just before the while loop):
Early-return to _run_codex_app_server_turn() when self.api_mode is
'codex_app_server'. Placed AFTER all standard pre-loop setup —
logging context, session DB, surrogate sanitization, _user_turn_count
and _turns_since_memory increments, _ext_prefetch_cache, memory
manager on_turn_start — so behavior outside the model-call loop is
identical between paths. Default Hermes flow is unchanged when the
flag is off.
3. End-of-class (line ~15497):
New method _run_codex_app_server_turn(). Lazy-instantiates one
CodexAppServerSession per AIAgent (reused across turns), runs the
turn, splices projected_messages into messages, increments
_iters_since_skill by tool_iterations (since the chat_completions
loop normally does that per iteration), fires
_spawn_background_review on the same cadence as the default path.
Counter accounting:
_turns_since_memory ← already incremented at run_conversation:11817
(gated on memory store configured) — codex
helper does NOT touch it (would double-count).
_user_turn_count ← already incremented at run_conversation:11793
— codex helper does NOT touch it.
_iters_since_skill ← incremented in the chat_completions loop per
tool iteration. Codex helper increments by
turn.tool_iterations since the loop is bypassed.
User message:
ALREADY appended to messages by run_conversation pre-loop (line 11823)
before the early-return reaches us. Helper does NOT append again.
Regression test test_user_message_not_duplicated guards this.
Approval callback wiring:
Lazy-fetches tools.terminal_tool._get_approval_callback at session
spawn time, passes to CodexAppServerSession. CLI threads with
prompt_toolkit get interactive approvals; gateway/cron contexts get
the codex-side fail-closed deny.
Error path:
Codex session exceptions become a 'partial' result with completed=False
and a final_response that explicitly tells the user how to switch back:
'Codex app-server turn failed: ... Fall back to default runtime with
/codex-runtime auto.' Same return-dict shape as the chat_completions
path so all callers (gateway, CLI, batch_runner, ACP) work unchanged.
9 new integration tests in tests/run_agent/test_codex_app_server_integration.py:
- api_mode='codex_app_server' is accepted on AIAgent construction
- run_conversation returns the expected codex shape
(final_response, codex_thread_id, codex_turn_id, completed, partial)
- Projected messages are spliced into messages list
- _iters_since_skill ticks per tool iteration
- _user_turn_count delegated to standard flow (not double-counted)
- User message appears exactly once (regression guard)
- _spawn_background_review IS invoked (memory/skill review keeps working)
- chat.completions.create is NEVER called (loop fully bypassed)
- Session exception → partial result with /codex-runtime auto hint
- Interrupted turn → partial result with error preserved
Adjacent test runs confirm no regressions:
- tests/run_agent/test_memory_nudge_counter_hydration.py: green
- tests/run_agent/test_background_review.py: green
- tests/run_agent/test_fallback_model.py: green
- tests/agent/transports/: 249/249 green
Still missing for full feature: /codex-runtime slash command, plugin
migration helper, docs page, live e2e test gated on codex binary. Those
are the remaining followup commits.
* feat(codex-runtime): add /codex-runtime slash command (CLI + gateway)
User-facing toggle for the optional codex app-server runtime. Follows the
'Adding a Slash Command (All Platforms)' pattern from AGENTS.md exactly:
single CommandDef in the central registry → CLI handler → gateway handler
→ running-agent guard → all surfaces (autocomplete, /help, Telegram menu,
Slack subcommands) update automatically.
Surface:
/codex-runtime — show current state + codex CLI status
/codex-runtime auto — Hermes default runtime
/codex-runtime codex_app_server — codex subprocess runtime
/codex-runtime on / off — synonyms
Files changed:
hermes_cli/codex_runtime_switch.py (new):
Pure-Python state machine shared by CLI and gateway. Parse args,
read/write model.openai_runtime in the config dict, gate enabling
behind a codex --version check (don't let users opt in to a runtime
they have no binary for; print npm install hint instead).
Returns a CodexRuntimeStatus dataclass that callers render however
suits their surface.
hermes_cli/commands.py:
Single CommandDef entry, no aliases (codex-runtime is its own thing).
cli.py:
Dispatch in process_command() + _handle_codex_runtime() handler that
delegates to the shared module and renders results via _cprint.
gateway/run.py:
Dispatch in _handle_message() + _handle_codex_runtime_command() that
returns a string (gateway sends as message). On a successful change
that requires a new session, _evict_cached_agent() forces the next
inbound message to construct a fresh AIAgent with the new api_mode —
avoids prompt-cache invalidation mid-session.
gateway/run.py running-agent guard:
/codex-runtime joins /model in the early-intercept block so a runtime
flip mid-turn can't split a turn across two transports.
Tests:
tests/hermes_cli/test_codex_runtime_switch.py — 25 tests covering the
state machine: arg parsing (10 cases incl. case-insensitive and
synonyms), reading current runtime (5 cases incl. malformed configs),
writing runtime (3 cases), apply() entry point covering read-only,
no-op, codex-missing-blocked, codex-present-success, disable-no-binary-check,
and persist-failure paths (8 cases). All green.
Adjacent test suites confirm no regressions:
- tests/hermes_cli/test_commands.py + test_codex_runtime_switch.py:
167/167 green
- tests/agent/transports/: 283/283 green when combined with prior commits
Still missing: plugin migration helper, docs page, live e2e test gated on
codex binary. Followup commits.
* feat(codex-runtime): auto-migrate Hermes MCP servers to ~/.codex/config.toml
Translates the user's mcp_servers config from ~/.hermes/config.yaml into
the TOML format codex's MCP client expects. Wired into the
/codex-runtime codex_app_server enable path so users get their MCP tool
surface in the spawned subprocess automatically.
The migration runs on every enable. Failures are non-fatal — the runtime
change still proceeds and the user gets a warning so they can fix the
codex config manually.
What translates (mapping verified against codex-rs/core/src/config/edit.rs):
Hermes mcp_servers.<n>.command/args/env → codex stdio transport
Hermes mcp_servers.<n>.url/headers → codex streamable_http transport
Hermes mcp_servers.<n>.timeout → codex tool_timeout_sec
Hermes mcp_servers.<n>.connect_timeout → codex startup_timeout_sec
Hermes mcp_servers.<n>.cwd → codex stdio cwd
Hermes mcp_servers.<n>.enabled: false → codex enabled = false
What does NOT translate (warned + skipped per server):
Hermes-specific keys (sampling, etc.) — codex's MCP client has no
equivalent. Listed in the per-server skipped[] field of the report.
What's NOT migrated (intentional):
AGENTS.md — codex respects this file natively in its cwd. Hermes' own
AGENTS.md (project-level) is already in the worktree, so codex picks
it up without translation. No code needed.
Idempotency design:
All managed content lives between a 'managed by hermes-agent' marker
and the next non-mcp_servers section header. _strip_existing_managed_block
removes the prior managed region cleanly, preserving any user-added
codex config (model, providers.openai, sandbox profiles, etc.) above
or below.
Files added:
hermes_cli/codex_runtime_plugin_migration.py — pure-Python migration
helper. Public API: migrate(hermes_config, codex_home=None,
dry_run=False) returns MigrationReport with .migrated/.errors/
.skipped_keys_per_server. No external TOML dependency — minimal
formatter handles strings/numbers/booleans/lists/inline-tables.
tests/hermes_cli/test_codex_runtime_plugin_migration.py — 39 tests
covering:
- per-server translation (12): stdio/http/sse, cwd, timeouts,
enabled flag, command+url precedence, sampling drop, unknown keys
- TOML formatter (8): types, escaping, inline tables, error case
- existing-block stripping (4): no marker, alone, with user content
above, with user content below
- end-to-end migrate() (8): empty, dry-run, round-trip, idempotent
re-run, preserves user config, error reporting, invalid input,
summary formatting
Files changed:
hermes_cli/codex_runtime_switch.py — apply() now calls migrate() in
the codex_app_server enable branch. Migration failure logs a warning
in the result message but does NOT fail the runtime change. Disable
path (auto) explicitly skips migration.
tests/hermes_cli/test_codex_runtime_switch.py — 3 new tests:
test_enable_triggers_mcp_migration, test_disable_does_not_trigger_migration,
test_migration_failure_does_not_block_enable.
All 325 feature tests green:
- tests/agent/transports/: 249 (incl. 67 new)
- tests/run_agent/test_codex_app_server_integration.py: 9
- tests/hermes_cli/test_codex_runtime_switch.py: 28 (3 new)
- tests/hermes_cli/test_codex_runtime_plugin_migration.py: 39 (new)
* perf(codex-runtime): cache codex --version check within apply()
Single /codex-runtime invocation could spawn 'codex --version' up to 3
times (state report, enable gate, success message). Each spawn is ~50ms,
so the cumulative cost wasn't a crisis, but it was wasteful and turned a
trivial slash command into something noticeably laggy on slower systems.
Refactored to lazy-once via a closure over a nonlocal cache. First call
spawns; subsequent calls in the same apply() reuse the result.
Behavior unchanged — same return shape, same error handling, same install
hint when codex is missing. Just one subprocess per call instead of three.
Two regression-guard tests added:
- test_binary_check_cached_within_apply: enable path → call_count == 1
- test_binary_check_cached_on_read_only_call: state-report path → call_count == 1
Total tests for /codex-runtime now 30 (was 28); all 143 codex-runtime
tests still green.
* fix(codex-runtime): correct protocol field names found via live e2e test
Three real bugs caught only by running a turn end-to-end against codex
0.130.0 with a real ChatGPT subscription. Unit tests passed because they
asserted on our own (incorrect) wire shapes; the wire format from
codex-rs/app-server-protocol/src/protocol/v2/* is the source of truth and
my initial reading of the README was incomplete.
Bug 1: thread/start.permissions wire format
Was sending {"profileId": "workspace-write"}.
Real format per PermissionProfileSelectionParams enum (tagged union):
{"type": "profile", "id": "workspace-write"}
AND requires the experimentalApi capability declared during initialize.
AND requires a matching [permissions] table in ~/.codex/config.toml or
codex fails the request with 'default_permissions requires a [permissions]
table'.
Fix: stop overriding permissions on thread/start. Codex picks its default
profile (read-only unless user configures otherwise), which matches what
codex CLI users expect — they configure their default permission profile
in ~/.codex/config.toml the standard way. Trying to be clever about
profile selection broke every turn we tested.
Live error before fix: 'Invalid request: missing field type' on every
turn/start, even though our turn/start payload was correct — the field
codex was complaining about was inside the permissions sub-object we
shouldn't have been sending.
Bug 2: server-request method names
Was matching 'execCommandApproval' and 'applyPatchApproval'.
Real names per common.rs ServerRequest enum:
item/commandExecution/requestApproval
item/fileChange/requestApproval
item/permissions/requestApproval (new third method)
Fix: match the documented names. Added handler for
item/permissions/requestApproval that always declines — codex sometimes
asks to escalate permissions mid-turn and silent acceptance would surprise
users.
Live symptom before fix: agent.log showed
'Unknown codex server request: item/commandExecution/requestApproval'
and codex stalled because we replied with -32601 (unsupported method)
instead of an approval decision. The agent reported back 'The write
command was rejected' even though Hermes never showed the user an
approval prompt.
Bug 3: approval decision values
Was sending decision strings 'approved'/'approvedForSession'/'denied'.
Real values per CommandExecutionApprovalDecision enum (camelCase):
accept, acceptForSession, decline, cancel
(also AcceptWithExecpolicyAmendment and ApplyNetworkPolicyAmendment
variants we don't currently use).
Fix: rename _approval_choice_to_codex_decision return values; update
auto_approve_* fallbacks; update fail-closed default from 'denied' to
'decline'. Test mapping table updated to match.
Live test verified after fixes:
$ hermes (with model.openai_runtime: codex_app_server)
> Run the shell command: echo hermes-codex-livetest > .../proof.txt
then read it back
Approval prompt fired with 'Codex requests exec in <cwd>'.
User chose 'Allow once'. Codex executed the command, wrote the file,
read it back. Final response: 'Read back from proof.txt:
hermes-codex-livetest'. File contents on disk match.
agent.log confirms:
codex app-server thread started: id=019e200e profile=workspace-write
cwd=/tmp/hermes-codex-livetest/workspace
All 20 session tests still green after wire-format updates.
* fix(codex-runtime): correct apply_patch approval params + ship docs
Live e2e revealed FileChangeRequestApprovalParams doesn't carry the
changeset (just itemId, threadId, turnId, reason, grantRoot) — Codex's
'reason' field describes what the patch wants to do. Test config and
display logic updated to use it. The first 'apply_patch (0 change(s))'
display from the live test is now 'apply_patch: <reason>'.
Adds website/docs/user-guide/features/codex-app-server-runtime.md
covering enable/disable, prerequisites, approval UX, MCP migration
behavior, permission profile delegation to ~/.codex/config.toml, known
limitations, and the architecture diagram. Wired into the Automation
category in sidebars.ts.
Live e2e validation across the path matrix:
✓ thread/start handshake
✓ turn/start with text input
✓ commandExecution items + projection
✓ item/commandExecution/requestApproval → Hermes UI → response
✓ Approve once → command runs
✓ Deny → command rejected, codex falls back to read-only message
✓ Multi-turn (codex remembers prior turn's results)
✓ apply_patch via Codex's fileChange path
✓ item/fileChange/requestApproval → Hermes UI
✓ MCP server migration loads inside spawned codex (verified via
'use the filesystem MCP tool' prompt)
✓ /codex-runtime auto → codex_app_server toggle cycle
✓ Disable doesn't trigger migration
✓ Enable with codex CLI present succeeds + migrates
✓ Hermes-side interrupt path (turn/interrupt request issued cleanly
even if codex finishes before the interrupt lands)
Known live-validated limitations now documented in the docs page:
- delegate_task subagents unavailable on this runtime
- permission profile selection delegated to ~/.codex/config.toml
- apply_patch approval prompt has no inline changeset (codex protocol
doesn't expose it)
145/145 codex-runtime tests still green.
* feat(codex-runtime): native plugin migration + UX polish (quirks 2/4/5/10/11)
Major: migrate native Codex plugins (#7 in OpenClaw's PR list)
Discovers installed curated plugins via codex's plugin/list RPC and
writes [plugins."<name>@<marketplace>"] entries to ~/.codex/config.toml
so they're enabled in the spawned Codex sessions. This is the
'YouTube-video-worthy' bit Pash highlighted: when a user has
google-calendar, github, etc. installed in their Codex CLI, those
plugins activate automatically when they enable Hermes' codex runtime.
Implementation:
- hermes_cli/codex_runtime_plugin_migration.py: new _query_codex_plugins()
helper spawns 'codex app-server' briefly and walks plugin/list. Returns
(plugins, error) — failures are non-fatal so MCP migration still works.
- render_codex_toml_section() now takes plugins + permissions args.
- migrate() defaults: discover_plugins=True, default_permission_profile=
'workspace-write'. Explicit None on either disables that side.
- _strip_existing_managed_block() now also strips [plugins.*] and
[permissions]/[permissions.*] sections inside the managed block, so
re-runs replace plugins cleanly without touching codex's own config.
Quirk fixes:
#2 Default permissions profile written on enable.
Without this, Codex's read-only default kicks in and EVERY write
triggers an approval prompt. Now writes [permissions] default =
'workspace-write' so the runtime feels normal out of the box. Set
default_permission_profile=None to opt out.
#4 apply_patch approval prompt now shows what's changing.
Codex's FileChangeRequestApprovalParams doesn't carry the changeset.
Session adapter now caches the fileChange item from item/started
notifications and looks it up by itemId when codex requests approval.
Prompt shows '1 add, 1 update: /tmp/new.py, /tmp/old.py' instead of
'apply_patch (0 change(s))'.
Side benefit: also drains pending notifications BEFORE handling a
server request, so the projector and per-turn caches are up to date
when the approval decision fires. Bounded to 8 notifications per
loop iter to avoid starving codex's response.
#5/#10 Exec approval prompt never shows empty cwd.
When codex omits cwd in CommandExecutionRequestApprovalParams, fall
back to the session's cwd. If somehow neither is available, show
'<unknown>' explicitly instead of an empty string.
Also surfaces 'reason' from the approval params when codex provides
it — gives users more context on why codex wants to run something.
#11 Banner indicates the codex_app_server runtime when active.
New 'Runtime: codex app-server (terminal/file ops/MCP run inside
codex)' line appears in the welcome banner only when the runtime is
on. Default banner is unchanged.
Tests:
- 7 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery (mocked), failure handling, dry-run skip, opt-out
flag, idempotent re-runs, and permissions writing.
- 3 new tests in test_codex_app_server_session.py covering the
enriched approval prompts: cwd fallback, change summary on
apply_patch, fallback when no item/started cache exists.
- All 26 session tests + 46 migration tests green; 153 total in PR.
* feat(codex-runtime): hermes-tools MCP callback + native plugin migration
The big architectural addition: when codex_app_server runtime is on,
Hermes registers its own tool surface as an MCP server in
~/.codex/config.toml so the codex subprocess can call back into Hermes
for tools codex doesn't ship with — web_search, browser_*, vision,
image_generate, skills, TTS.
Also: 'migrate native codex plugins' (Pash's YouTube-video-worthy bit) —
when the user has plugins like Linear, GitHub, Gmail, Calendar, Canva
installed via 'codex plugin', Hermes discovers them via plugin/list and
writes [plugins.<name>@openai-curated] entries so they activate
automatically.
New module: agent/transports/hermes_tools_mcp_server.py
FastMCP stdio server exposing 17 Hermes tools. Each call dispatches
through model_tools.handle_function_call() — same code path as the
Hermes default runtime. Run with:
python -m agent.transports.hermes_tools_mcp_server [--verbose]
Exposed: web_search, web_extract, browser_navigate / _click / _type /
_press / _snapshot / _scroll / _back / _get_images / _console /
_vision, vision_analyze, image_generate, skill_view, skills_list,
text_to_speech.
NOT exposed (deliberately):
- terminal/shell/read_file/write_file/patch — codex has built-ins
- delegate_task/memory/session_search/todo — _AGENT_LOOP_TOOLS in
model_tools.py:493, require running AIAgent context. Documented
as a limitation and surfaced in the slash command output.
Migration changes (hermes_cli/codex_runtime_plugin_migration.py):
- _query_codex_plugins() spawns 'codex app-server' briefly to walk
plugin/list and pull installed openai-curated plugins. Failures are
non-fatal — MCP migration still completes.
- render_codex_toml_section() now takes plugins + permissions args
AND wraps the managed block with a MIGRATION_END_MARKER comment so
the stripper can reliably find both ends, even when the block
contains top-level keys (default_permissions = ...).
- migrate() defaults: discover_plugins=True, expose_hermes_tools=True,
default_permission_profile=':workspace' (built-in codex profile name
— must be prefixed with ':'). All three opt-out via explicit args.
- _build_hermes_tools_mcp_entry() builds the codex stdio entry with
HERMES_HOME and PYTHONPATH passthrough so a worktree-launched
Hermes points the MCP subprocess at the same module layout.
Live-caught wire bugs fixed during this turn:
1. Permission profile config key is top-level , NOT a [permissions] table. The [permissions] table is
for *user-defined* profiles with structured fields. Built-in
profile names start with ':' (':workspace', ':read-only',
':danger-no-sandbox'). Was emitting
which codex rejected with 'invalid type: string "X", expected
struct PermissionProfileToml'.
2. Built-in profile is , NOT . Codex
rejected with 'unknown built-in profile'.
3. Codex's MCP layer sends for
tool-call confirmation. We weren't handling it, so codex stalled
and returned 'MCP tool call was rejected'. Now: auto-accept for
our own hermes-tools server (user already opted in by enabling
the runtime), decline for third-party servers.
Quirk fixes shipped (from the limitations list):
#2 default permissions: workspace profile written on enable. No more
approval prompt on every write.
#4 apply_patch approval shows what's changing: cache fileChange
items from item/started, look up by itemId when codex sends
item/fileChange/requestApproval. Prompt: '1 add, 1 update:
/tmp/new.py, /tmp/old.py' instead of '0 change(s)'.
#5/#10 exec approval cwd never empty: fall back to session cwd, then
'<unknown>'. Also surfaces 'reason' from codex when present.
#11 banner shows 'Runtime: codex app-server' line when active so
users understand why tool counts may not match what's reachable.
Tests:
- 5 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery, expose_hermes_tools entry generation, idempotent
re-runs, opt-out flag, permissions profile.
- 3 new tests in test_codex_app_server_session.py covering enriched
approval prompts (cwd fallback, fileChange summary).
- 2 new tests for mcpServer/elicitation/request handling (accept
hermes-tools, decline others).
- New test file test_hermes_tools_mcp_server.py covering module
surface, EXPOSED_TOOLS safety invariants (no shell/file_ops,
no agent-loop tools), and main() error paths.
- 166 codex-runtime tests total, all green.
Live e2e validated against codex 0.130.0 + ChatGPT subscription:
✓ /codex-runtime codex_app_server enables, migrates filesystem MCP,
registers hermes-tools, writes default_permissions = ':workspace'
✓ Banner shows 'Runtime: codex app-server' line in subsequent sessions
✓ Shell command runs without approval prompt (workspace profile works)
✓ Multi-turn — codex remembers prior turn's results
✓ apply_patch path via fileChange request approval
✓ web_search via hermes-tools MCP callback returns real Firecrawl
results: 'OpenAI Codex CLI – Getting Started' end-to-end in 13s
✓ Disable cycle clean
Docs updated: website/docs/user-guide/features/codex-app-server-runtime.md
Full re-write covering native plugin migration, the hermes-tools
callback architecture, the prerequisites change ('codex login is
separate from hermes auth login codex'), the trade-off table now
reflecting which Hermes tools work via callback, and the limitations
list updated with what's actually unavailable on this runtime.
* feat(codex-runtime): pin user-config preservation invariant for quirk #6
Quirk #6 from the limitations list — user MCP servers / overrides /
codex-only sections in ~/.codex/config.toml that live OUTSIDE the
hermes-managed block must survive re-migration verbatim.
This already worked thanks to the MIGRATION_MARKER + MIGRATION_END_MARKER
pair I added when fixing the default_permissions wire format (so the
strip can find both ends of the managed region even with top-level
keys like default_permissions). But it was an emergent property
without a test pinning it.
Now explicitly tested:
- User MCP server above the managed block survives migration
- User MCP server below the managed block survives migration
- Both above + below survive a second re-migration
- User content (model, providers, sandbox, otel, etc.) outside our
region is left untouched
Docs added a section "Editing ~/.codex/config.toml safely" explaining
the marker contract — so users know they can add their own MCP
servers, override permissions, configure codex-only options, etc.
without fear of Hermes overwriting their work.
167 codex-runtime tests, all green.
* docs(codex-runtime): clarify the actual tool surface — shell covers terminal/read/write/find
Previous docs and PR description undersold what codex's built-in
toolset actually provides. apply_patch alone made it sound like the
runtime could only edit files in patch format — implying you'd lose
terminal use, read_file, write_file, search/find. That was wrong.
Codex's 'shell' tool runs arbitrary shell commands inside the sandbox,
which covers everything you'd do in bash: cat/head/tail (read), echo>
or heredocs (write), find/rg/grep (search), ls/cd (navigate), build/
test/git/etc. apply_patch is for structured multi-file edits on top
of that. update_plan is its in-runtime todo. view_image loads images.
And codex has its own web_search built in (in addition to the
Firecrawl-backed one Hermes exposes via MCP callback).
Docs now have a 'What tools the model actually has' section right
after Why, breaking the surface into three clearly-labeled buckets:
1. Codex's built-in toolset (always on) — shell, apply_patch,
update_plan, view_image, web_search; covers everything terminal-
adjacent.
2. Native Codex plugins (auto-migrated from your codex plugin
install) — Linear, GitHub, Gmail, Calendar, Outlook, Canva, etc.
3. Hermes tool callback (MCP server in ~/.codex/config.toml) —
web_search/web_extract via Firecrawl, browser_*, vision_analyze,
image_generate, skill_view/skills_list, text_to_speech.
Plus a 'What's NOT available' callout listing the four agent-loop tools
(delegate_task, memory, session_search, todo) that need running
AIAgent context and can't reach the codex runtime.
Trade-offs table broken out: shell, apply_patch, update_plan,
view_image, sandbox each get their own row with a one-line description
so users can see at a glance what's available natively.
Architecture diagram updated to list the codex built-ins by name
instead of 'apply_patch + shell + sandbox'.
No code changes — purely docs clarification. 167 codex-runtime tests
still green.
* fix(codex-runtime): _spawn_background_review signature + review fork api_mode downgrade
Two real bugs in the self-improvement loop integration that the previous
test mocked away.
Bug 1: wrong call signature
The codex helper was calling self._spawn_background_review() with no
args after every turn. That function actually requires:
messages_snapshot=list (positional or keyword)
review_memory=bool (at least one trigger must be True)
review_skills=bool
So the call would have raised TypeError at runtime — except the only
test that exercised this path mocked _spawn_background_review entirely
and just asserted spawn.called, so the wrong-arg shape never surfaced.
Bug 2: review fork inherits codex_app_server api_mode
The review fork is constructed with:
api_mode = _parent_runtime.get('api_mode')
So when the parent is codex_app_server, the review fork ALSO runs as
codex_app_server. But the review fork's whole job is to call agent-loop
tools (memory, skill_manage) which require Hermes' own dispatch — they
short-circuit with 'must be handled by the agent loop' on the codex
runtime. So the review fork would have run, decided to save something,
called memory or skill_manage, and silently no-op'd.
Fixed in run_agent.py:_spawn_background_review() — when the parent
api_mode is 'codex_app_server', the review fork is downgraded to
'codex_responses' (same OAuth credentials, same openai-codex provider,
but talks to OpenAI's Responses API directly so Hermes owns the loop).
Also rewrote the codex helper's review wiring to match the
chat_completions path:
- Computes _should_review_memory in the pre-loop block (was already
being computed; now passed through to the helper as an arg).
- Computes _should_review_skills AFTER the codex turn returns +
counters tick (line ~15432 pattern in chat_completions).
- Calls _spawn_background_review(messages_snapshot=, review_memory=,
review_skills=) only when at least one trigger fires.
- Adds the external memory provider sync (_sync_external_memory_for_turn)
that the chat_completions path runs after every turn.
Tests:
Replaced the broken test_background_review_invoked (which only
asserted spawn.called) with three sharper tests:
- test_background_review_NOT_invoked_below_threshold:
single turn at default thresholds → no review fires (would have
caught the original 'every turn calls spawn with no args' bug)
- test_background_review_skill_trigger_fires_above_threshold:
10 tool_iterations at threshold=10 → review fires with
messages_snapshot=list, review_skills=True, counter resets
- test_background_review_signature_never_breaks: regression guard
asserting positional args are always empty and kwargs include
messages_snapshot
New TestReviewForkApiModeDowngrade class:
- test_codex_app_server_parent_downgrades_review_fork: drives the
real _spawn_background_review function (no mock at that level),
asserts the review_agent gets api_mode='codex_responses' when
the parent was codex_app_server.
Live-validated against real run_conversation:
- Counter ticked from 0 to 5 after a 5-tool-iteration turn
- _spawn_background_review fired exactly once with kwargs-only signature
- review_skills=True, review_memory=False
- messages_snapshot was 12 entries (5 assistant tool_calls + 5 tool
results + 1 final assistant + initial system/user)
- Counter reset to 0 after fire
170 codex-runtime tests, all green.
Docs: added a Self-improvement loop section to the codex runtime page
explaining both how the trigger logic stays equivalent and that the
review fork is auto-downgraded to codex_responses for the agent-loop
tools. Also clarified that apply_patch and update_plan ARE codex's
built-in tools (the previous version made it sound like they were
separate from 'codex's stuff' — they're not, all five tools listed
in 'What tools the model actually has' section 1 are codex built-ins).
* feat(codex-runtime): expose kanban tools through Hermes MCP callback
Kanban workers spawn as separate hermes chat -q subprocesses that read
the user's config.yaml. If model.openai_runtime: codex_app_server is set
globally (which is the whole point of opt-in), every dispatched worker
ALSO comes up on the codex runtime.
That mostly works — codex's built-in shell + apply_patch + update_plan
do the actual task work fine — but it had one critical break: the
worker handoff tools (kanban_complete, kanban_block, kanban_comment,
kanban_heartbeat) are Hermes-registered tools, not codex built-ins.
On the codex runtime, codex builds its own tool list and these never
reach the model, so the worker would do the work but not be able to
report back, hanging until the dispatcher's timeout escalates it as
zombie.
Fix: add all 9 kanban tools to the EXPOSED_TOOLS list in the Hermes
MCP callback. They dispatch statelessly through handle_function_call()
just like web_search and the others — they read HERMES_KANBAN_TASK
from env (set by the dispatcher), gate correctly (worker tools require
the env var, orchestrator tools require it unset), and write to
~/.hermes/kanban.db.
Why kanban tools work via stateless dispatch when delegate_task/memory/
session_search/todo don't: those four are listed in _AGENT_LOOP_TOOLS
(model_tools.py:493) and short-circuit in handle_function_call() with
'must be handled by the agent loop' — they need to mutate AIAgent's
mid-loop state. Kanban tools have no such requirement; they're pure
side-effect functions against the kanban.db plus state_meta.
Tools exposed:
Worker handoff (require HERMES_KANBAN_TASK):
kanban_complete, kanban_block, kanban_comment, kanban_heartbeat
Read-only board queries:
kanban_show, kanban_list
Orchestrator (require HERMES_KANBAN_TASK unset):
kanban_create, kanban_unblock, kanban_link
Tests:
- test_kanban_worker_tools_exposed: complete/block/comment/heartbeat
in EXPOSED_TOOLS (regression guard for the would-hang-worker bug)
- test_kanban_orchestrator_tools_exposed: create/show/list/unblock/link
Docs:
- New 'Workflow features' section in the docs page covering /goal,
kanban, and cron behavior on this runtime
- /goal: works fully via run_conversation feedback; only caveat is
approval-prompt noise on long writes-heavy goals (mitigated by
the default :workspace permission profile)
- Kanban: enumerated which tools are reachable via the callback and
why the env var propagates correctly through the codex subprocess
to the MCP server subprocess
- Cron: documented as 'not specifically tested' — same rules as the
CLI apply since cron runs through AIAgent.run_conversation
- Trade-offs table gained rows for /goal, kanban worker, kanban
orchestrator
172/172 codex-runtime tests green (+2 from kanban tests).
* docs(codex-runtime): wire /codex-runtime into slash-commands ref + flag aux token cost
Three docs gaps caught during a final audit:
1. /codex-runtime was only in the feature docs page, not in the
slash-commands reference. Added rows to both the CLI section and
the Messaging section so users discover it where they'd look for
slash command syntax.
2. CODEX_HOME and HERMES_KANBAN_TASK weren't in environment-variables.md.
CODEX_HOME lets users redirect Codex CLI's config dir (the migration
honors it). HERMES_KANBAN_TASK is set by the kanban dispatcher and
propagates to the codex subprocess + the hermes-tools MCP subprocess
so kanban worker tools gate correctly — documented as 'don't set
manually' since it's an internal handoff.
3. Aux client behavior on this runtime. When openai_runtime=
codex_app_server is on with the openai-codex provider, every aux
task (title generation, context compression, vision auto-detect,
session search summarization, the background self-improvement review
fork) flows through the user's ChatGPT subscription by default.
This is true for the existing codex_responses path too, but it's
more visible / important here because users explicitly opted in for
subscription billing. Added a 'Auxiliary tasks and ChatGPT
subscription token cost' section to the docs page with a YAML
example showing how to override specific aux tasks to a cheaper
model (typically google/gemini-3-flash-preview via OpenRouter).
Also documents how the self-improvement review fork gets
auto-downgraded from codex_app_server to codex_responses by the
fix earlier in this PR.
No code changes — pure docs. 172 codex-runtime tests still green.
* docs+test(codex-runtime): pin HOME passthrough, document multi-profile + CODEX_HOME
OpenClaw hit a real footgun in openclaw/openclaw#81562: when spawning
codex app-server they were synthesizing a per-agent HOME alongside
CODEX_HOME. That made every subprocess codex's shell tool launches
(gh, git, aws, npm, gcloud, ...) see a fake $HOME and miss the user's
real config files. They had to back it out in PR #81562 — keep
CODEX_HOME isolation, leave HOME alone.
Audit confirms Hermes' codex spawn doesn't have this problem. We do
os.environ.copy() and only overlay CODEX_HOME (when provided) and
RUST_LOG. HOME passes through unchanged. But it was an emergent
property without a test pinning it, so adding a regression guard:
test_spawn_env_preserves_HOME — confirms parent HOME survives intact
in the subprocess env
test_spawn_env_sets_CODEX_HOME_when_provided — confirms codex_home
arg still isolates
codex state correctly
Docs additions:
'HOME environment variable passthrough' section — calls out the
contract explicitly: CODEX_HOME isolates codex's own state, HOME
stays user-real so gh/git/aws/npm/etc. find their normal config.
Cites openclaw#81562 as the cautionary tale.
'Multi-profile / multi-tenant setups' section — addresses the
related concern: profiles share ~/.codex/ by default. For users who
want per-profile codex isolation (separate auth, separate plugins),
documents the manual CODEX_HOME=<profile-scoped-dir> approach.
Explains why we DON'T auto-scope CODEX_HOME per profile: doing so
would silently invalidate existing codex login state for anyone
upgrading to this PR with tokens already at ~/.codex/auth.json.
Opt-in is safer than surprising users.
174 codex-runtime tests (+2 from HOME guards), all green.
* fix(codex-runtime): TOML control-char escapes + atomic config.toml write
Two footguns caught in a final audit pass before merge.
Bug 1: TOML control characters not escaped
The _format_toml_value() helper escaped backslashes and double quotes
but passed literal control characters (\n, \t, \r, \f, \b) through
unchanged. TOML basic strings don't allow literal control characters
— a path or env var containing a newline would produce invalid TOML
that codex refuses to load.
Realistic exposure: pathological cases like a HERMES_HOME with a
trailing newline (env var concatenation accident), or a PYTHONPATH
with a tab from a multi-line shell heredoc.
Fix: escape all five TOML basic-string control sequences (\b \t \n
\f \r) in addition to \\ and \" that we already did. Order
matters — backslash must come first or the other escapes get
re-escaped.
Bug 2: config.toml write wasn't atomic
If the python process crashed between target.mkdir() and the
write_text() finishing, a half-written config.toml could be left
behind. On NFS / Windows / some FUSE mounts this is a real concern;
on ext4/APFS small writes are usually atomic in practice but not
guaranteed.
Fix: write to a tempfile.mkstemp() temp file in the same directory,
then Path.replace() (atomic same-dir rename on POSIX, ReplaceFile on
Windows). On rename failure, clean up the temp file so repeated
failed migrations don't pile up .config.toml.* files.
Tests:
- test_string_with_newline_escaped — \n in value → \n in output
- test_string_with_tab_escaped — \t in value → \t in output
- test_string_with_other_controls_escaped — \r, \f, \b
- test_windows_path_escaped_correctly — backslash doubling
- test_atomic_write_no_temp_leak_on_success — no .config.toml.*
left over after a successful write
- test_atomic_write_cleanup_on_rename_failure — temp file removed
when Path.replace raises (simulated disk full)
180 codex-runtime tests, all green (+6 from this commit).
Footguns audited but NOT fixed (with rationale):
- Concurrent migrations race. Two Hermes processes hitting
/codex-runtime codex_app_server within seconds of each other could
cause one writer to lose entries. Low probability (you'd have to
enable from two surfaces simultaneously) and low impact (just re-run
migration). Adding fcntl/msvcrt locking is more code than it's
worth here. The atomic rename above means each individual write is
consistent — only the merge step is racy.
- Codex protocol version drift. We pin MIN_CODEX_VERSION=0.125 and
check at runtime but don't reject too-new versions. Right call —
the protocol has been stable through 0.125 → 0.130. If OpenAI
breaks it later we'd see the error in test_codex_app_server_runtime
on CI before users hit it.
* feat(video_gen): unified video_generate tool with pluggable provider backends
One core video_generate tool, every backend a plugin. Mirrors the
image_gen + memory_provider + context_engine architecture: ABC, registry,
plugin-context registration hook, and per-plugin model catalogs surfaced
through hermes tools.
Surface (one schema, every backend):
- operation: generate / edit / extend
- modalities: text-to-video (prompt only), image-to-video (prompt +
image_url), video edit (prompt + video_url), video extend (video_url)
- reference_image_urls, duration, aspect_ratio, resolution,
negative_prompt, audio, seed, model override
- Providers ignore unknown kwargs and declare what they support via
VideoGenProvider.capabilities() — backend-specific quirks stay in the
backend, the agent learns one tool
Backends shipped:
- plugins/video_gen/xai/ — Grok-Imagine, full generate/edit/extend +
image-to-video + reference images (salvaged from PR #10600 by
@Jaaneek, reshaped into the plugin interface)
- plugins/video_gen/fal/ — Veo 3.1 (t2v + i2v), Kling O3 i2v,
Pixverse v6 i2v with model-aware payload building that drops keys a
model doesn't declare
Wiring:
- agent/video_gen_provider.py — VideoGenProvider ABC, normalize_operation,
success_response / error_response, save_b64_video / save_bytes_video,
$HERMES_HOME/cache/videos/
- agent/video_gen_registry.py — thread-safe register/get/list +
get_active_provider() reading video_gen.provider from config.yaml
- hermes_cli/plugins.py — PluginContext.register_video_gen_provider()
- hermes_cli/tools_config.py — Video Generation category in
hermes tools, plugin-only providers list, model picker per plugin,
config write to video_gen.{provider,model}
- toolsets.py — new video_gen toolset
- tests: 31 new tests covering ABC, registry, tool dispatch, both plugins
- docs: developer-guide/video-gen-provider-plugin.md (parallel to the
image-gen guide), sidebar + toolsets-reference + plugin guides updated
Supersedes: #25035 (FAL), #17972 (FAL), #14543 (xAI), #13847 (HappyHorse),
#10458 (provider categories), #10786 (xAI media+search bundle), #2984
(FAL duplicate), #19086 (Google Veo standalone — easy port to plugin
interface).
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen): dynamic schema reflects active backend's capabilities
Address the 'capability variance' question — instead of one tool with a
static schema that lies about what every backend supports, the
video_generate tool now rebuilds its description at get_definitions()
time based on the configured video_gen.provider and video_gen.model.
The agent sees backend-specific guidance up-front:
- 'fal-ai/veo3.1/image-to-video': 'image-to-video only — image_url is
REQUIRED; text-only prompts will be rejected'
- 'fal-ai/veo3.1' (t2v): no image_url restriction shown
- xAI grok-imagine-video: 'operations: generate, edit, extend; up to 7
reference_image_urls'
- Backends without edit/extend: 'not supported on this backend — surface
that they need to switch backends via hermes tools'
This is the same pattern PR #22694 used for delegate_task self-capping —
documented in the dynamic-tool-schemas skill. Cache invalidation is
free: get_tool_definitions() already memoizes on config.yaml mtime, so a
mid-session backend swap rebuilds the schema automatically.
Tested:
- Empirical FAL OpenAPI schema check confirms image-to-video models
require image_url (FAL returns HTTP 422 otherwise) — client-side
rejection in FALVideoGenProvider.generate() now prevents the wasted
round-trip
- Live E2E: fal-ai/veo3.1/image-to-video + prompt-only → clean
missing_image_url error; fal-ai/veo3.1 + prompt-only → dispatches
- 6 new tests cover the builder (no config / image-only / full-surface /
text-only / unknown provider / registry wiring), all passing
- 37/37 in the slice, 134/134 in the broader regression set
* test(video_gen/xai): full surface integration tests + cleaner schema
Verified end-to-end that the xAI plugin handles every documented mode
from PR #10600's surface: text-to-video, image-to-video,
reference-images-to-video, video edit, video extend (with and without
prompt). All five modes route to the correct xAI endpoint
(/videos/generations, /videos/edits, /videos/extensions) with the right
payload shape (image / reference_images / video keys), and all five
client-side rejections fire before the network: edit-without-prompt,
extend-without-video_url, image+refs conflict, >7 references, and
duration/aspect_ratio clamping.
15 new integration tests grouped into four classes (endpoint routing,
modalities, validation, clamping). httpx is stubbed via a small fake
AsyncClient that records POSTs so the tests assert the actual payload
the plugin would send to xAI — not just the success/error envelope.
Also cleaned up a description redundancy: when a model's operations
match the backend's overall set, we no longer print the duplicate
'operations supported by this model' line. xAI's description now reads:
Active backend: xAI . model: grok-imagine-video
- operations supported by this backend: edit, extend, generate
- modalities supported by this backend: image, reference_images, text
- aspect_ratio choices: 16:9, 1:1, 2:3, 3:2, 3:4, 4:3, 9:16
- resolution choices: 480p, 720p
- duration range: 1-15s
- reference_image_urls: up to 7 images
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen): collapse surface to t2v + i2v, family-based auto-routing
Two design changes per Teknium:
1) Drop edit/extend from the tool surface entirely. Only text-to-video
and image-to-video remain. The agent sees a clean tool with two
modalities; backend-specific quirks like xAI's edit/extend endpoints
stay out of the unified schema.
2) FAL: pick a model FAMILY once, the plugin routes between the
family's text-to-video and image-to-video endpoints based on whether
image_url was passed. Users no longer pick 'fal-ai/veo3.1' AND
'fal-ai/veo3.1/image-to-video' as separate options — they pick
'veo3.1', and the plugin handles the rest.
Catalog rewritten as families:
veo3.1 fal-ai/veo3.1 / fal-ai/veo3.1/image-to-video
pixverse-v6 fal-ai/pixverse/v6/text-to-video / fal-ai/pixverse/v6/image-to-video
kling-o3-standard fal-ai/kling-video/o3/standard/text-to-video / fal-ai/kling-video/o3/standard/image-to-video
xAI uses a single endpoint (/videos/generations) for both modes,
routed by the presence of the 'image' field in the payload — no
edit/extend exposure.
Schema changes:
- VIDEO_GENERATE_SCHEMA: drop operation, drop video_url. Final params:
prompt (required), image_url, reference_image_urls, duration,
aspect_ratio, resolution, negative_prompt, audio, seed, model.
- VideoGenProvider ABC: drop normalize_operation, VALID_OPERATIONS,
DEFAULT_OPERATION. capabilities() drops 'operations' key.
- success_response: add 'modality' field ('text' | 'image') so the
agent and logs can see which endpoint was actually hit.
Dynamic schema builder simplified — no operations bullet, no
'switch backends if you need edit/extend' guidance. When the active
backend supports both modalities (the common case), description reads:
Active backend: FAL . model: pixverse-v6
- supports both text-to-video (omit image_url) and image-to-video
(pass image_url) - routes automatically
- aspect_ratio choices: 16:9, 9:16, 1:1
- resolution choices: 360p, 540p, 720p, 1080p
- duration range: 1-15s
- audio: pass audio=true to enable native audio (pricing tier)
- negative_prompt: supported
Tests: 51 in the video_gen slice, 216 across the broader image+video
sweep, all passing. New FAL routing tests prove pixverse-v6 + no image
hits text-to-video endpoint, pixverse-v6 + image_url hits
image-to-video endpoint, same for veo3.1 and kling-o3-standard.
Docs updated: developer-guide page rewrites the 'model families' pattern
as a first-class section so external plugin authors know the convention.
toolsets-reference and toolsets.py descriptions match the new surface.
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen/fal): expand catalog to 6 families, cheap + premium tiers
Catalog now covers everything Teknium specced from FAL:
Cheap tier:
ltx-2.3 fal-ai/ltx-2.3-22b/text-to-video / image-to-video
pixverse-v6 fal-ai/pixverse/v6/text-to-video / image-to-video
Premium tier:
veo3.1 fal-ai/veo3.1 / fal-ai/veo3.1/image-to-video
seedance-2.0 bytedance/seedance-2.0/text-to-video / image-to-video
kling-v3-4k fal-ai/kling-video/v3/4k/text-to-video / image-to-video
happy-horse fal-ai/happy-horse/text-to-video / image-to-video
DEFAULT_MODEL moved from veo3.1 (premium) to pixverse-v6 (cheap, sane
defaults, both modalities) — better first-run UX for users who haven't
explicitly picked a model.
New family-entry knob: image_param_key. Kling v3 4K's image-to-video
endpoint expects start_image_url instead of image_url; declaring
image_param_key='start_image_url' on the family lets _build_payload
remap correctly. Other families default to plain image_url.
Per-family capability flags reflect each model's docs:
- LTX 2.3 + Happy Horse: minimal payloads (no duration/aspect/resolution
enum exposed by FAL — let endpoint apply defaults)
- Seedance: 6 aspect ratios incl 21:9, durations 4-15, audio supported,
negative prompts NOT supported per docs
- Kling v3 4K: 16:9/9:16/1:1, 3-15s, audio + negative
- Veo 3.1: unchanged, 16:9/9:16, 4/6/8s
Tests: +5 covering the new families (full catalog, Kling 4K
start_image_url remap, Seedance routing, LTX payload minimality, Happy
Horse minimality). 56/56 in the slice green.
Note: I did NOT add the FAL-hosted xAI Grok-Imagine variant. Hermes
already has a direct xAI plugin that talks to xAI's own API; routing
the same model through FAL's wrapper would duplicate the surface
without adding capabilities. Users on FAL who want Grok-Imagine should
use the xAI plugin directly; flag if you want both routes available.
* test(video_gen): tool-surface routing matrix — every model x modality
End-to-end matrix test driven through _handle_video_generate() — the
actual function the agent's video_generate tool call lands in. Writes
config.yaml, invokes the registered handler with a raw args dict, then
asserts the outbound HTTP/SDK call hit the right endpoint with the right
payload shape.
Parametrized over FAL_FAMILIES.keys() so the matrix auto-discovers new
families as they're added (add a family to FAL_FAMILIES and you get
both modalities tested for free).
Coverage:
- All 6 FAL families x {text-only, text+image} = 12 cases
- xAI x {text-only, text+image} = 2 cases
- tool-level model= arg overrides config = 2 cases
For each case, verifies:
- result['success'] is True
- result['modality'] matches input shape ('text' if no image_url, 'image' otherwise)
- outbound endpoint URL matches the family's text_endpoint or image_endpoint
- text-only payloads carry no image-shaped keys
- text+image payloads carry the family's image key (image_url for most,
start_image_url for kling-v3-4k, wrapped 'image' object for xAI)
All 16 cases passing. Confirms the tool surface routes every
(provider, model, modality) combination correctly with zero leakage.
* feat(video_gen): keep video_gen out of first-run setup, surface in status
Two changes:
1. video_gen joins _DEFAULT_OFF_TOOLSETS, so it is NOT pre-selected in
the first-run toolset checklist. Video gen is niche, paid, and slow —
most users don't want it nagging them during initial setup. Anyone
who wants it opts in via 'hermes tools' -> Video Generation, which
already routes to the provider+model picker.
2. The 'hermes setup' status panel learns about video_gen — but only
shows the row when a plugin reports available. Users without
FAL_KEY/XAI_API_KEY see nothing about video gen; users with one of
those keys see 'Video Generation (FAL) ✓' as confirmation it's wired.
Verified live:
- Fresh install (no creds): zero video_gen mentions in wizard.
- With FAL_KEY: status row appears with active backend name.
- 160/160 in the setup + tools_config + video_gen test slice.
Rationale: image_gen is on by default because it's a featured creative
tool used in casual chat (telegrams, etc). Video gen is heavier — long
wait, paid per-second pricing. Default-off matches user intent better.
---------
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
- Note that typescript-language-server pulls in the typescript SDK
automatically (peer-dep relationship was previously implicit and
caused initialize failures when the SDK was absent).
- Add a Troubleshooting entry for the new Backend warnings section
in hermes lsp status, with the shellcheck install commands across
apt / brew / scoop.
Reflects what shipped in PR #24630.
* feat(lsp): semantic diagnostics from real language servers in write_file/patch
Wire ~26 language servers (pyright, gopls, rust-analyzer, typescript-language-server,
clangd, bash-language-server, ...) into the post-write lint check used by write_file
and patch. The model now sees type errors, undefined names, missing imports, and
project-wide semantic issues introduced by its edits, not just syntax errors.
LSP is gated on git workspace detection: when the agent's cwd or the file being
edited is inside a git worktree, LSP runs against that workspace; otherwise the
existing in-process syntax checks are the only tier. This keeps users on
user-home cwds (Telegram/Discord gateway chats) from spawning daemons.
The post-write check is layered: in-process syntax check first (microseconds),
then LSP semantic diagnostics second when syntax is clean. Diagnostics are
delta-filtered against a baseline captured at write start, so the agent only
sees errors its edit introduced. A flaky/missing language server can never
break a write -- every LSP failure path falls back silently to the syntax-only
result.
New module agent/lsp/ split into:
- protocol.py: Content-Length JSON-RPC framer + envelope helpers
- client.py: async LSPClient (spawn, initialize, didOpen/didChange,
ContentModified retry, push/pull diagnostic stores)
- workspace.py: git worktree walk-up + per-server NearestRoot resolver
- servers.py: registry of 26 language servers (extension match,
root resolver, spawn builder per language)
- install.py: auto-install dispatch (npm install --prefix, go install
with GOBIN, pip install --target) into HERMES_HOME/lsp/bin/
- manager.py: LSPService (per-(server_id, root) client registry, lazy
spawn, broken-set, in-flight dedupe, sync facade for tools layer)
- reporter.py: <diagnostics> block formatter (severity-1-only, 20-per-file)
- cli.py: hermes lsp {status,list,install,install-all,restart,which}
Wired into tools/file_operations.py:
- write_file/patch_replace now call _snapshot_lsp_baseline before write
- _check_lint_delta gains a third tier: LSP semantic diagnostics when
syntax is clean
- All LSP code paths swallow exceptions; write_file's contract unchanged
Config: 'lsp' section in DEFAULT_CONFIG with enabled (default true),
wait_mode, wait_timeout, install_strategy (default 'auto'), and per-server
overrides (disabled, command, env, initialization_options).
Tests: tests/agent/lsp/ -- 49 tests covering protocol framing (encode and
read_message round-trip, EOF/truncation/missing Content-Length), workspace
gate (git walk-up, exclude markers, fallback to file location), reporter
(severity filter, max-per-file cap, truncation), service-level delta filter,
and an in-process mock LSP server that exercises the full client lifecycle
including didChange version bumps, dedup, crash recovery, and idempotent
teardown.
Live E2E verified end-to-end through ShellFileOperations: pyright
auto-installed via npm into HERMES_HOME, baseline captured, type error
introduced, single delta diagnostic surfaced with correct line/column/code/
source, then patch fix removes the diagnostic from the output.
Docs: new website/docs/user-guide/features/lsp.md page covering supported
languages, configuration knobs, performance characteristics, and
troubleshooting; cli-commands.md updated with the 'hermes lsp' reference;
sidebar updated.
* feat(lsp): structured logging, backend gate, defensive walk caps
Cherry-picks the substantive ideas from #24155 (different scope, same
problem space) onto our PR.
agent/lsp/eventlog.py (new): dedicated structured logger
``hermes.lint.lsp`` with steady-state silence. Module-level dedup sets
keep a 1000-write session at exactly ONE INFO line ("active for
<root>") at the default INFO threshold; clean writes log at DEBUG so
they never reach agent.log under normal config. State transitions
(server starts, no project root for a file, server unavailable) fire
at INFO/WARNING once per (server_id, key); novel events (timeouts,
unexpected errors) fire WARNING per call. Grep recipe: ``rg 'lsp\\['``.
agent/lsp/manager.py: wire the eventlog into _get_or_spawn and
get_diagnostics_sync so users can answer "did LSP fire on this edit?"
with a single grep, plus surface "binary not on PATH" warnings once
instead of silently retrying every write.
tools/file_operations.py: backend-type gate. ``_lsp_local_only()``
returns False for non-local backends (Docker / Modal / SSH /
Daytona); ``_snapshot_lsp_baseline`` and ``_maybe_lsp_diagnostics``
now skip entirely on remote envs. The host-side language server
can't see files inside a sandbox, so this prevents pretending to
lint a file the host process can't open.
agent/lsp/protocol.py: 8 KiB cap on the header block in
``read_message``. A pathological server that streams headers
without ever emitting CRLF-CRLF would have looped forever consuming
bytes; now raises ``LSPProtocolError`` instead.
agent/lsp/workspace.py: 64-step cap on ``find_git_worktree`` and
``nearest_root`` upward walks, plus try/except containment around
``Path(...).resolve()`` and child ``.exists()`` calls. Defensive
against pathological inputs (symlink loops, encoding errors,
permission failures mid-walk) — the lint hook is hot-path code and
must never raise.
Tests:
- tests/agent/lsp/test_eventlog.py: 18 tests covering steady-state
silence (clean writes stay DEBUG), state-transition INFO-once
semantics (active for, no project root), action-required
WARNING-once (server unavailable), per-call WARNING (timeouts,
spawn failures), and the "1000 clean writes => 1 INFO" contract.
- tests/agent/lsp/test_backend_gate.py: 5 tests verifying
_lsp_local_only / snapshot_baseline / maybe_lsp_diagnostics skip
the LSP layer for non-local backends and route correctly for
LocalEnvironment.
- tests/agent/lsp/test_protocol.py: new test_read_message_rejects_runaway_header
exercising the 8 KiB cap.
Validation:
- 73/73 LSP tests pass (49 original + 18 eventlog + 5 backend-gate + 1 framer cap)
- 198/198 pass when run alongside existing file_operations tests
- Live E2E re-run with pyright still surfaces "ERROR [2:12] Type
... reportReturnType (Pyright)" through the full path, then patch
fix removes it on the next call.
* feat(lsp): atexit cleanup + separate lsp_diagnostics JSON field
Two improvements salvaged from #24414's plugin-form alternative,
keeping our core-integrated design:
1. atexit cleanup of spawned language servers
----------------------------------------------------------------
``agent/lsp/__init__.get_service`` now registers an ``atexit``
handler on first creation that tears down the LSPService on
Python exit. Without this, every ``hermes chat`` exit was
leaking pyright/gopls/etc. processes for a few seconds while
their stdout buffers drained -- they got reaped by the kernel
eventually but a watchful ``ps aux`` would catch them.
The handler runs once per process (gated by
``_atexit_registered``); idempotent ``shutdown_service``
ensures double-fire is a no-op. Errors during shutdown are
swallowed at debug level since by the time atexit fires the
user has already seen the agent's final response.
2. Separate ``lsp_diagnostics`` field on WriteResult / PatchResult
----------------------------------------------------------------
Previously the LSP layer folded its diagnostic block into the
``lint.output`` string, conflating the syntax-check tier with
the semantic tier. The agent (and any downstream parsers) now
read syntax errors and semantic errors as independent signals:
{
"bytes_written": 42,
"lint": {"status": "ok", "output": ""},
"lsp_diagnostics": "<diagnostics file=...>\nERROR [2:12] ..."
}
``_check_lint_delta`` returns to its original two-tier shape
(syntax check + delta filter); ``write_file`` and
``patch_replace`` independently fetch LSP diagnostics via
``_maybe_lsp_diagnostics`` and pass them into the new field.
``patch_replace`` propagates the inner write_file's
``lsp_diagnostics`` so the outer PatchResult carries the patch's
delta correctly.
Tests: 19 new
- tests/agent/lsp/test_lifecycle.py (8 tests): atexit registration
fires once and only once across N get_service calls; the
registered callable is our internal shutdown wrapper;
shutdown_service is idempotent and safe when never started;
exceptions during shutdown are swallowed; inactive service is
cached so we don't rebuild on every check.
- tests/agent/lsp/test_diagnostics_field.py (11 tests): WriteResult
/ PatchResult dataclass shape, to_dict include/omit semantics,
channel separation (lint and lsp_diagnostics carry independent
signals), write_file populates the field via
_maybe_lsp_diagnostics only when the syntax tier is clean,
patch_replace propagates the field forward from its internal
write_file.
Validation:
- 92/92 LSP tests pass (73 prior + 8 lifecycle + 11 diagnostics field)
- 217/217 pass with file_operations + LSP combined
- Live E2E reverified: clean writes -> both fields empty/none; type
error introduced -> lint clean (parses), lsp_diagnostics carries
the pyright reportReturnType block; patch fix -> both fields
clean again.
* fix(lsp): broken-set short-circuit so a wedged server isn't paid every write
Discovered while auditing failure paths: a language server binary that
hangs (sleep forever, no LSP traffic on stdin/stdout) caused EVERY
subsequent write to re-pay the 8s snapshot_baseline timeout. Five
writes = ~64s of dead time.
The bug: ``_get_or_spawn`` adds the (server_id, root) pair to
``_broken`` inside its inner exception handler, but when the OUTER
``_loop.run`` timeout fires, it cancels the inner task before that
handler runs. The pair never makes it to broken-set, so the next
write re-enters the spawn path and re-pays the timeout.
Fix:
- New ``_mark_broken_for_file`` helper at the service layer marks
the (server_id, workspace_root) pair broken from the OUTSIDE when
the outer timeout fires. Called from the except branches in
``snapshot_baseline``, ``get_diagnostics_sync`` (asyncio.TimeoutError
+ generic Exception). Also kills any orphan client process that
survived the cancelled future, fire-and-forget with a 1s ceiling.
- ``enabled_for`` now consults the broken-set BEFORE returning True.
Files in already-broken (server_id, root) pairs short-circuit to
False, so the file_operations layer skips the LSP path entirely
with no spawn cost. Until the service is restarted (``hermes lsp
restart``) or the process exits.
- A single eventlog WARNING is emitted on first mark-broken so the
user knows which server gave up. Subsequent edits in the same
project stay silent.
Tests: 7 new in tests/agent/lsp/test_broken_set.py — covers the
key shape (server_id, per_server_root), enabled_for short-circuit,
sibling-file skip in same project, project isolation (broken in
A doesn't affect B), graceful no-op for missing-server / no-workspace,
and an end-to-end test that snapshots after a failure and verifies
the next ``enabled_for`` returns False.
Validation:
- Live retest of the wedged-binary scenario: 5 sequential writes,
first 8.88s (the one snapshot timeout), subsequent four ~0.84s
(no LSP cost). Down from 5x12.85s = 64s before this fix.
- 99/99 LSP tests pass (92 prior + 7 broken-set)
- 224/224 pass with file_operations + LSP combined
- Happy path E2E reverified — clean write, type error introduced,
patch fix all behave correctly with the new broken-set logic.
Note: the FIRST write to a wedged binary still pays 8s (the
snapshot_baseline timeout). We could shorten that, but pyright/
tsserver normally take 2-3s and slow CI rust-analyzer can need
5+ seconds, so 8s is the conservative ceiling. Subsequent writes
are instant.
Adds behavior detail to the existing 'Externally managed Camofox sessions'
subsection in features/browser.md:
- Three-row settings table (config key + env var + effect).
- 'What changes when user_id is set' — soft-cleanup behavior, why
DELETE /sessions/<user_id> is skipped.
- 'How tab adoption works' — 4-step lookup against GET /tabs, listItemId
matching, fallback to new-tab creation, no mid-run re-polling.
- Picking session_key: how to attach to a specific existing tab vs
share-profile-only behavior with the default per-task session_key.
- Concurrency note that Camofox does not arbitrate per-tab focus.
Allow integrations to share a visible Camofox identity with Hermes and recover existing tabs without carrying local patches.
Co-authored-by: Cursor <cursoragent@cursor.com>
cua-driver was only installed once on toolset enable: `_run_post_setup` early-returns when the binary is already on PATH, so upstream fixes (e.g. v0.1.6 Safari window-focus fix) never reached existing users without manual reinstall.
Two refresh points now:
- `hermes update` re-runs the upstream installer at the end of the update if cua-driver is on PATH (macOS-only, no-op otherwise). Ties driver freshness to the user-controlled update cadence — no startup latency, no per-launch GitHub API call.
- `hermes computer-use install --upgrade` for manual force-refresh.
The upstream `install.sh` always pulls the latest release, so re-running is the canonical upgrade path. No version-comparison logic needed.
`hermes computer-use status` now shows the installed version, and points at `--upgrade` for refreshing.
Surface ready tasks that nobody claims within a threshold (default
30 min) regardless of why. One identity-agnostic signal that catches:
- Operator typo'd the assignee
- Profile was deleted, leaving its tasks stranded
- External worker pool (Codex CLI lane, custom daemon) is down
- Dispatcher misconfigured (wrong board / wrong HERMES_HOME)
Today the dispatcher correctly skips these (no respawn loop, good)
but nothing surfaces the fact that operator-actionable work is
accumulating. The new `stranded_in_ready` rule does that without
requiring a manual lane registry — it reads the most recent ready-
transition event (`created` / `promoted` / `reclaimed` / `unblocked`)
and fires when (now - last_ready_ts) > threshold.
Severity escalates with age: warning at threshold, error at 2x,
critical at 6x. The cli_hint and reassign actions point operators
at the right next step.
Out of scope deliberately:
- Lane registry (#20157 closed) — this signal supersedes it.
- Pushing the diagnostic into messaging gateways — diagnostics
are pull-only via 'hermes kanban diagnostics' for now; gateway
push is a separate UX decision.
Tests: 10 new + 461 existing kanban tests pass. E2E verified end-
to-end via 'hermes kanban diagnostics --json' against a 2h-old
stranded task — surfaces as error severity with correct actions.
Closes the architectural-pin part of #19931. Most of what that issue
asked for is already implemented (logs under kanban root, env-pinned
workspace, dispatcher routing of unknown assignees, lifecycle
ownership, structured handoff conventions). What was missing:
1. A written contract integrators can point at when adding a new
worker lane shape, and
2. The "code-changing workers should not auto-promote success to
done" convention.
This commit ships both as docs+convention layered on existing primitives.
No kernel changes — the kanban_complete / kanban_block / kanban_comment
surfaces already support the review-required pattern; we just hadn't
written it down or made it visible to workers.
Changes:
- `agent/prompt_builder.py::KANBAN_GUIDANCE`: append the review-required
exception to step 5 of the lifecycle. Workers get the cue
auto-injected into their system prompt — drop structured metadata
into a kanban_comment first, then end with
kanban_block(reason="review-required: <summary>") instead of
kanban_complete when the work needs review. Total prompt size went
from ~3000 to ~3275 chars; well under the 4096 budget enforced by
test_kanban_guidance_size.
- `skills/devops/kanban-worker/SKILL.md`: add a worked example to the
existing "Good summary + metadata shapes" section between the
Coding-task and Research-task examples. Same shape as the others
(kanban_comment with structured handoff JSON, then kanban_block with
the human-readable reason). Plus a one-line guide on when to use
kanban_complete vs the review-required pattern.
- `website/docs/user-guide/features/kanban-worker-lanes.md` (new): the
integrator-facing contract. Covers the hierarchy, the three things
every lane must provide (assignee, spawn mechanism, lifecycle
terminator), the env vars the dispatcher injects, the
review-required convention, the failure modes the kernel handles
for free, and an explicit "external CLI worker lane" deferred-
pending-concrete-asker section that links to #19931 and #19924.
- `website/sidebars.ts`: link the new page under user-guide/features.
The "specialist worker lanes for external CLI tools (Codex / Claude
Code / OpenCode)" runner is NOT shipped here. The dispatcher's
spawn_fn parameter already supports plugin-shaped extension; the
per-CLI integration work (auth, sandbox policy, exit-code mapping)
needs a concrete asker. The new docs page tells would-be integrators
the contract any such lane must satisfy.
Refs #19931
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>
* feat(plugins): bundle hermes-achievements, scan full session history
Ships @PCinkusz's hermes-achievements dashboard plugin (https://github.com/PCinkusz/hermes-achievements) as a bundled plugin at plugins/hermes-achievements/ and fixes a bug in the scan path that made the plugin only see the first 200 sessions — making lifetime badges (50k tool calls, 75k errors, etc.) unreachable on long-running installs.
Changes:
- plugins/hermes-achievements/: vendor v0.3.1 verbatim (manifest, dist/, plugin_api.py, tests, docs, README).
- plugins/hermes-achievements/dashboard/plugin_api.py:
* scan_sessions(): limit=None now scans ALL sessions via SQLite LIMIT -1. Previously capped at 200, so users with 8000+ sessions saw ~2% of their history.
* evaluate_all(): first-ever scans run in a background thread so the dashboard request path never blocks. Stale snapshots serve immediately while a background refresh runs. force=True still blocks synchronously for manual /rescan.
* _build_pending_snapshot(), _start_background_scan(), _run_scan_and_update_cache(): supporting plumbing + idempotent thread spawn.
- tests/plugins/test_achievements_plugin.py: new tests covering the 200-cap regression, the background-scan first-run flow, stale-serve-plus-background-refresh, forced sync rescan, and scan-thread idempotency.
- website/docs/user-guide/features/built-in-plugins.md: lists hermes-achievements in the bundled-plugins table and documents API endpoints, state files, and performance characteristics.
E2E validated against a real 8564-session ~6.4GB state.db:
* Cold scan: 13m 19s (one-time, backgrounded — UI never blocks)
* Warm rescan: 1.47s (8563/8564 sessions reused from checkpoint cache)
* 57/60 achievements unlocked, 3 discovered — aggregates like total_tool_calls=259958, total_errors=164213, skill_events=368243 correctly surface lifetime badges that the 200-cap made unreachable.
Original credit: @PCinkusz (MIT-licensed). Upstream repo remains the staging ground for new badges; this bundle keeps the dashboard feature parity with Hermes core changes.
* feat(achievements): publish partial snapshots during cold scan
Previously a cold scan on a large session DB (13min on 8564 sessions)
showed zero badges for the entire duration, then every badge at once
when the scan completed. A dashboard refresh mid-scan was indistinguishable
from a fresh install with no history.
Now the scanner publishes a partial snapshot to _SNAPSHOT_CACHE every
250 sessions, so each refresh during a cold scan surfaces more badges
incrementally.
Mechanism:
- scan_sessions() takes an optional progress_callback fired every
progress_every sessions with (sessions_so_far, scanned, total).
- _compute_from_scan() is extracted from compute_all() and gains an
is_partial flag that skips writing to state.json — we don't want
to record unlocked_at based on a half-complete aggregate that a
later session might rebalance.
- _run_scan_and_update_cache() installs a publisher callback that
builds a partial snapshot, marks it mode='in_progress', and writes
it to the cache with age=0 so the UI keeps polling /scan-status
and picks up the final snapshot when the scan completes.
- Manual /rescan (force=True) disables partial publishing — the
caller is blocking on the final result anyway.
E2E against real 8564-session state.db (polled cache every 10s):
t=10s: cache empty
t=20s: 250/8564 scanned, 35 unlocked, 25 discovered
t=40s: 500/8564 scanned, 42 unlocked, 18 discovered
t=60s: 1000/8564 scanned, 49 unlocked, 11 discovered
...
Tests: 9/9 pass (2 new — partial snapshot publication + no-persist-on-partial).
Upstream unittest suite: 10/10 pass.
* feat(achievements): in-progress scan banner with live % progress
Previously the dashboard showed zero badges silently during long cold
scans (13min on 8564 sessions). The backend was publishing partial
snapshots every 250 sessions, but the bundled UI didn't surface any
indicator that a scan was running — it just rendered the main page
with whatever counts were currently published and no way for the user
to know more progress was coming.
UI changes (dist/index.js, dist/style.css):
- Added a scan-in-progress banner rendered between the hero and stats
when scan_meta.mode is 'pending' or 'in_progress'. Shows:
BUILDING ACHIEVEMENT PROFILE…
Scanned 1,750 of 8,564 sessions · 20%. Badges unlock as more history streams in.
with a pulsing teal indicator and a filling teal/cyan progress bar.
Disappears the moment the backend flips to 'full' or 'incremental'.
- Added an auto-poller via useEffect — while scanInFlight is true the
page re-fetches /achievements every 4s WITHOUT toggling the loading
skeleton, so unlock counts tick up visibly without the user refreshing.
The effect cleans itself up when the scan finishes.
- Added refresh() (re-fetch, no loading flip) alongside the existing
load() (full reload, used by the Rescan button).
Attribution preserved:
- Added a header comment to index.js crediting @PCinkusz
(https://github.com/PCinkusz/hermes-achievements, MIT) as the
original author, noting the banner is a layered addition on top
of the original dist bundle.
- Matching header comment in style.css, flagging the new
.ha-scan-banner* rules as the local addition.
Live-verified end to end:
- Spun up `hermes dashboard --port 9229 --no-open` against a fresh
HERMES_HOME symlinked to the real 8564-session state.db.
- Opened /achievements in a browser, confirmed the banner renders with
live progress: 'Scanned 1,000 of 8,564 sessions · 11%' → updates to
'1,250 ... · 14%' → '1,750 ... · 20%' without user interaction,
matching the backend's partial publications.
- Stats row simultaneously climbed from 35 → 49 → 53 unlocked as
more history streamed in.
- Vision analysis of the rendered page confirms the banner styling
matches the rest of the dashboard (dark card bg, teal accent, same
small-caps typography, pulsing indicator reusing ha-pulse keyframes).
Broad drift audit against origin/main (b52b63396).
Reference pages (most user-visible drift):
- slash-commands: add /busy, /curator, /footer, /indicator, /redraw, /steer
that were missing; drop non-existent /terminal-setup; fix /q footnote
(resolves to /queue, not /quit); extend CLI-only list with all 24
CLI-only commands in the registry
- cli-commands: add dedicated sections for hermes curator / fallback /
hooks (new subcommands not previously documented); remove stale
hermes honcho standalone section (the plugin registers dynamically
via hermes memory); list curator/fallback/hooks in top-level table;
fix completion to include fish
- toolsets-reference: document the real 52-toolset count; split browser
vs browser-cdp; add discord / discord_admin / spotify / yuanbao;
correct hermes-cli tool count from 36 to 38; fix misleading claim
that hermes-homeassistant adds tools (it's identical to hermes-cli)
- tools-reference: bump tool count 55 -> 68; add 7 Spotify, 5 Yuanbao,
2 Discord toolsets; move browser_cdp/browser_dialog to their own
browser-cdp toolset section
- environment-variables: add 40+ user-facing HERMES_* vars that were
undocumented (--yolo, --accept-hooks, --ignore-*, inference model
override, agent/stream/checkpoint timeouts, OAuth trace, per-platform
batch tuning for Telegram/Discord/Matrix/Feishu/WeCom, cron knobs,
gateway restart/connect timeouts); dedupe the Cron Scheduler section;
replace stale QQ_SANDBOX with QQ_PORTAL_HOST
User-guide (top level):
- cli.md: compression preserves last 20 turns, not 4 (protect_last_n: 20)
- configuration.md: display.platforms is the canonical per-platform
override key; tool_progress_overrides is deprecated and auto-migrated
- profiles.md: model.default is the config key, not model.model
- sessions.md: CLI/TUI session IDs use 6-char hex, gateway uses 8
- checkpoints-and-rollback.md: destructive-command list now matches
_DESTRUCTIVE_PATTERNS (adds rmdir, cp, install, dd)
- docker.md: the container runs as non-root hermes (UID 10000) via
gosu; fix install command (uv pip); add missing --insecure on the
dashboard compose example (required for non-loopback bind)
- security.md: systemctl danger pattern also matches 'restart'
- index.md: built-in tool count 47 -> 68
- integrations/index.md: 6 STT providers, 8 memory providers
- integrations/providers.md: drop fictional dashscope/qwen aliases
Features:
- overview.md: 9 image models (not 8), 9 TTS providers (not 5),
8 memory providers (Supermemory was missing)
- tool-gateway.md: 9 image models
- tools.md: extend common-toolsets list with search / messaging /
spotify / discord / debugging / safe
- fallback-providers.md: add 6 real providers from PROVIDER_REGISTRY
(lmstudio, kimi-coding-cn, stepfun, alibaba-coding-plan,
tencent-tokenhub, azure-foundry)
- plugins.md: Available Hooks table now includes on_session_finalize,
on_session_reset, subagent_stop
- built-in-plugins.md: add the 7 bundled plugins the page didn't
mention (spotify, google_meet, three image_gen providers, two
dashboard examples)
- web-dashboard.md: add --insecure and --tui flags
- cron.md: hermes cron create takes positional schedule/prompt, not
flags
Messaging:
- telegram.md: TELEGRAM_WEBHOOK_SECRET is now REQUIRED when
TELEGRAM_WEBHOOK_URL is set (gateway refuses to start without it
per GHSA-3vpc-7q5r-276h). Biggest user-visible drift in the batch.
- discord.md: HERMES_DISCORD_TEXT_BATCH_SPLIT_DELAY_SECONDS default
is 2.0, not 0.1
- dingtalk.md: document DINGTALK_REQUIRE_MENTION /
FREE_RESPONSE_CHATS / MENTION_PATTERNS / HOME_CHANNEL /
ALLOW_ALL_USERS that the adapter supports
- bluebubbles.md: drop fictional BLUEBUBBLES_SEND_READ_RECEIPTS env
var; the setting lives in platforms.bluebubbles.extra only
- qqbot.md: drop dead QQ_SANDBOX; add real QQ_PORTAL_HOST and
QQ_GROUP_ALLOWED_USERS
- wecom-callback.md: replace 'hermes gateway start' (service-only)
with 'hermes gateway' for first-time setup
Developer-guide:
- architecture.md: refresh tool/toolset counts (61/52), terminal
backend count (7), line counts for run_agent.py (~13.7k), cli.py
(~11.5k), main.py (~10.4k), setup.py (~3.5k), gateway/run.py
(~12.2k), mcp_tool.py (~3.1k); add yuanbao adapter, bump platform
adapter count 18 -> 20
- agent-loop.md: run_agent.py line count 10.7k -> 13.7k
- tools-runtime.md: add vercel_sandbox backend
- adding-tools.md: remove stale 'Discovery import added to
model_tools.py' checklist item (registry auto-discovery)
- adding-platform-adapters.md: mark send_typing / get_chat_info as
concrete base methods; only connect/disconnect/send are abstract
- acp-internals.md: ACP sessions now persist to SessionDB
(~/.hermes/state.db); acp.run_agent call uses
use_unstable_protocol=True
- cron-internals.md: gateway runs scheduler in a dedicated background
thread via _start_cron_ticker, not on a maintenance cycle; locking
is cross-process via fcntl.flock (Unix) / msvcrt.locking (Windows)
- gateway-internals.md: gateway/run.py ~12k lines
- provider-runtime.md: cron DOES support fallback (run_job reads
fallback_providers from config)
- session-storage.md: SCHEMA_VERSION = 11 (not 9); add migrations
10 and 11 (trigram FTS, inline-mode FTS5 re-index); add
api_call_count column to Sessions DDL; document messages_fts_trigram
and state_meta in the architecture tree
- context-compression-and-caching.md: remove the obsolete 'context
pressure warnings' section (warnings were removed for causing
models to give up early)
- context-engine-plugin.md: compress() signature now includes
focus_topic param
- extending-the-cli.md: _build_tui_layout_children signature now
includes model_picker_widget; add to default layout
Also fixed three pre-existing broken links/anchors the build warned
about (docker.md -> api-server.md, yuanbao.md -> cron-jobs.md and
tips#background-tasks, nix-setup.md -> #container-aware-cli).
Regenerated per-skill pages via website/scripts/generate-skill-docs.py
so catalog tables and sidebar are consistent with current SKILL.md
frontmatter.
docusaurus build: clean, no broken links or anchors.
Add a dedicated 'Pinning a skill' section that covers both gating
layers — curator auto-transitions AND the agent's skill_manage tool
— so users know what the flag actually protects against after
PR #17562. Updates the one-line claim in 'How it runs' to cross-link
the new section instead of only mentioning auto-transitions.
Skill catalog pages (bundled/optional) were drowning out real user-guide
and reference docs in search results. There are ~3100 of them and they
match on almost every generic term.
- Add `ignoreFiles` regexes to docusaurus-search-local for
`user-guide/skills/bundled/` and `user-guide/skills/optional/`.
The two human-written catalog indexes (`reference/skills-catalog`,
`reference/optional-skills-catalog`) remain indexed.
- Add a new feature page `user-guide/features/curator.md` covering the
curator subsystem merged in #16049 and refined in #17307 (per-run
reports): how it runs, config, CLI (`hermes curator status/run/pin/
restore/...`), `.usage.json` telemetry, archival semantics, and
recovery. Slotted into the Core features sidebar next to Skills.
Search index size dropped from 5822 docs to 2704 in the main section;
`user-guide/features/curator` is indexed.
Close integration gaps discovered by auditing qwen-oauth's file coverage.
These are surfaces the original salvage missed — they all existed on
main and were added in the 747 commits since PR #15203 was opened.
Coverage added:
- agent/credential_pool.py: seed pool from auth.json providers.minimax-oauth
so `hermes auth list` reflects logged-in state and
`hermes auth remove minimax-oauth <N>` works through the standard flow.
- agent/credential_sources.py: register RemovalStep for minimax-oauth
with suppression-aware `_clear_auth_store_provider`.
- agent/models_dev.py: PROVIDER_TO_MODELS_DEV mapping (-> 'minimax' family).
- hermes_cli/providers.py: HermesOverlay entry (anthropic_messages transport,
oauth_external auth_type, api.minimax.io/anthropic base).
- hermes_cli/model_normalize.py: add to _MATCHING_PREFIX_STRIP_PROVIDERS so
`minimax-oauth/MiniMax-M2.7` in config.yaml gets correctly repaired.
- hermes_cli/status.py: render MiniMax OAuth block in `hermes doctor`
(logged-in / region / expires_at / error).
- hermes_cli/web_server.py: register in OAUTH_PROVIDER_REGISTRY + dispatch
branch in _resolve_provider_status so the dashboard auth page shows it.
- website/docs/integrations/providers.md: full 'MiniMax (OAuth)' section.
- website/docs/reference/cli-commands.md: --provider enum.
- website/docs/user-guide/features/fallback-providers.md: fallback table row.
- scripts/release.py AUTHOR_MAP: amanning3390 mapping (CI gate).
Adds Vercel Sandbox as a supported Hermes terminal backend alongside
existing providers (Local, Docker, Modal, SSH, Daytona, Singularity).
Uses the Vercel Python SDK to create/manage cloud microVMs, supports
snapshot-based filesystem persistence keyed by task_id, and integrates
with the existing BaseEnvironment shell contract and FileSyncManager
for credential/skill syncing.
Based on #17127 by @scotttrinh, cherry-picked onto current main.
Adds two API server endpoints for external UIs and orchestrators:
- GET /v1/capabilities — machine-readable feature discovery so clients
can detect which Runs API / SSE / auth features this Hermes version
supports before depending on them.
- GET /v1/runs/{run_id} — pollable run status so dashboards can check
queued/running/completed/failed/cancelled/stopping state without
holding an SSE connection open.
Also moves request validation ahead of run allocation so invalid
payloads no longer leave orphaned entries in _run_streams waiting for
the TTL sweep.
task_id is intentionally kept as "default" for the Runs API to
preserve the shared-sandbox model used by CLI, gateway, and the
existing _run_agent_with_callbacks path. session_id is surfaced in
run status for external-UI correlation only.
Salvage of PR #17085 by @Magaav.
The previous docs pass (#17399) overstated what Anthropic OAuth works
with. In practice Hermes can only route against a Claude Max plan that
has purchased extra usage credits — the base Max allowance is not
consumed, and Claude Pro is not supported at all. Without Max + extra
credits, users must fall back to an ANTHROPIC_API_KEY (pay-per-token).
Updates the four pages touched in #17399:
- integrations/providers.md
- user-guide/features/credential-pools.md
- reference/environment-variables.md
- getting-started/quickstart.md
Users have been asking what they're billed for when they authenticate
Anthropic via OAuth in Hermes. Clarify in the provider docs that OAuth
routes through Anthropic's Claude Code subscription path — consuming
the extra Claude Code usage included with their Pro or Max plan — and
that an ANTHROPIC_API_KEY is pay-per-token against that key's org
instead.
Touches:
- integrations/providers.md: new info admonition in Anthropic (Native)
section, plus provider-table row.
- user-guide/features/credential-pools.md: OAuth comment line.
- reference/environment-variables.md: Provider Auth (OAuth) intro.
- getting-started/quickstart.md: provider-picker table row.
Replace the removed built-in boot-md hook (#17093) with a how-to that
shows users how to wire up the same behavior themselves via the hooks
system. Uses _resolve_gateway_model() + _resolve_runtime_agent_kwargs()
so the example works against custom endpoints and OAuth providers,
not just the aggregator defaults that the old built-in silently assumed.
Co-authored-by: teknium1 <teknium@users.noreply.github.com>
This PR groups the TUI fixes that restore macOS Terminal usability and clean up the theme/composer regressions:
- copy transcript selections on macOS drag-release so Terminal.app users can copy while mouse tracking is enabled
- copy composer selections on macOS drag-release; composer selection is internal to TextInput and does not use the global Ink selection bus
- keep IDE Cmd+C forwarding setup macOS-only, and make keybinding conflict checks respect simple when-clause overlap/negation
- force truecolor before chalk initializes (unless NO_COLOR / FORCE_COLOR / HERMES_TUI_TRUECOLOR opt-outs apply) so the default banner keeps its gold/amber/bronze gradient in Terminal.app
- move TUI surfaces onto semantic theme tokens and preserve skin prompt symbols as bare tokens with renderer-owned spacing
- render focused placeholders as dim hint text in TTY mode instead of inverse/selected-looking synthetic cursor text
BOOT.md was merged in PR #3733 before the feature was ready — the
built-in hook spawned a bare AIAgent() with no model/runtime kwargs,
which immediately 401s on any provider with a custom endpoint. Three
separate community PRs (#5240, #12514, #14992) tried to paper over it.
Remove the BOOT.md hook entirely and its user-facing docs/tips. Keep
the gateway/builtin_hooks/ package and the HookRegistry._register_builtin_hooks()
hook-point intact as the extension surface for future always-on
gateway hooks.
Closes#5239.
Co-authored-by: teknium1 <teknium@users.noreply.github.com>
delegate_task runs inside the parent turn and is cancelled when the parent is interrupted (new user message, /stop, /new). The child status payload (status=interrupted, exit_reason=interrupted) is already honest, but the tool schema and user-facing docs did not set the expectation, so users reasonably assumed delegated subagents would keep running in the background after interrupting the parent.
Updates:
- tools/delegate_tool.py DELEGATE_TASK_SCHEMA description adds a WHEN NOT TO USE bullet pointing at cronjob / terminal(background=True, notify_on_complete=True) for durable long-running work.
- website/docs/user-guide/features/delegation.md gains a Lifetime and Durability callout above Key Properties.
- website/docs/guides/delegation-patterns.md expands the Use something else list and the Constraints section with the same guidance.
Reported by LizLiz (@lizliz404) via Teknium.
Co-authored-by: teknium1 <teknium@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.
Plugins can now observe dangerous-command approval events in real time,
on both the CLI-interactive path and the async gateway path. This is the
missing hook surface external tools need to build approval notifiers
(macOS menu-bar allow/deny, Slack alerts, audit logs, etc.) without
forking Hermes or running a parallel gateway adapter.
Changes:
- hermes_cli/plugins.py: add two entries to VALID_HOOKS
- tools/approval.py: fire both hooks from check_all_command_guards --
around prompt_dangerous_approval (CLI surface) and around the
notify_cb + blocking event.wait loop (gateway surface)
- website/docs/user-guide/features/hooks.md: document both hooks with
a macOS-notification example
- tests/tools/test_approval_plugin_hooks.py: 5 tests covering CLI once,
CLI deny, plugin-crash resilience, gateway approve, gateway timeout
Hooks are observer-only: return values are ignored, so plugins cannot
veto or pre-answer an approval (use pre_tool_call for that). A crashing
plugin cannot break the approval flow -- invoke_hook swallows per-
callback errors, and the wrapper logs and swallows dispatch-layer
errors too.
Surface kwarg distinguishes "cli" from "gateway"; post hook reports
choice as one of once/session/always/deny/timeout.
* feat(nix): parameterize dependency-groups in python.nix
* refactor(nix): extract package to callPackage-able hermes-agent.nix
Makes the package overridable via .override{} and adds
extraPythonPackages parameter for PYTHONPATH injection.
Includes build-time collision check using PEP 503 name
canonicalization.
* feat(nix): add overlay for external NixOS consumption
External flakes can now add overlays = [ inputs.hermes-agent.overlays.default ]
to get pkgs.hermes-agent with full .override support.
* test(nix): add check for extraPythonPackages PYTHONPATH injection
Verifies wrapper has PYTHONPATH when extras provided, and
base package has no PYTHONPATH without extras.
* feat(nix): add extraPlugins option for directory-based plugins
Symlinks plugin packages into HERMES_HOME/plugins/ at activation time.
Validates plugin.yaml presence. Asserts unique plugin names at eval time.
Hermes discovers them automatically via its directory scan.
* feat(nix): add extraPythonPackages option for entry-point plugins
Overrides the hermes package with PYTHONPATH injection when
extraPythonPackages is non-empty. Plugin .dist-info directories
become visible to importlib.metadata for entry-point discovery.
Works in both native systemd and container modes.
* docs: add NixOS declarative plugin installation to nix-setup, plugins, and build-a-plugin guides
- nix-setup.md: new Plugins section with extraPlugins/extraPythonPackages
examples, overlay usage, collision checking note, options reference rows
- plugins.md: Nix row in discovery table, NixOS declarative plugins section
- build-a-hermes-plugin.md: Distribute for NixOS section after pip section
* fix: address review feedback — remove unrelated umask, fix fetchFromGitHub naming, simplify checks
- Remove accidentally introduced umask/migration changes (unrelated to plugins)
- Add pluginName helper, fix fetchFromGitHub producing name='source'
- Show name= in extraPlugins example docs
- Simplify checks.nix: use hermes-agent.override instead of re-callPackage
- Fix fragile grep shell logic in checks
* refactor: address simplify feedback — lib.getName, drop unused inputs', Python list for extras
- Use lib.getName instead of custom pluginName helper
- Drop unused inputs' from checks.nix perSystem args
- Pass extraPythonPackages as Python list literal instead of colon-split string
* fix: walk propagatedBuildInputs for plugin PYTHONPATH and collision check
Uses python312.pkgs.requiredPythonModules to resolve the full transitive
closure of extraPythonPackages. Without this, a plugin with third-party
deps (e.g. requests) would fail at runtime if those deps weren't already
in the sealed uv2nix venv. The collision check now also scans the full
closure, catching transitive conflicts.
* cleanup: fold plugins into subdir loop, use find for symlink cleanup, inline lib.getName
- Add 'plugins' to the existing cron/sessions/logs/memories subdir loop
instead of a separate mkdir/chown/chmod block
- Replace fragile for-glob with find -delete for stale symlink cleanup
- Inline lib.getName at both call sites, remove pluginName wrapper
Follow-up to #16323 — the UrlSource adapter is shipped but four
user-facing docs surfaces still only listed the hub-identifier forms.
- user-guide/features/skills.md: add ``url`` to the Supported-hub-sources
table; add a new "#### 8. Direct URL (`url`)" section explaining scope
(single-file SKILL.md only), name-resolution order (frontmatter → URL
slug → interactive prompt → --name flag), and both TTY and
non-interactive usage. Add two URL examples to the install-examples
block near the top of the page.
- reference/cli-commands.md: two URL install examples + one note
explaining the name-resolution fallback chain.
- guides/work-with-skills.md: one URL-install example alongside the
existing hub-identifier examples.
- skills/autonomous-ai-agents/hermes-agent/SKILL.md: Quick Reference
block's ``hermes skills install`` line now spells out that ID can be
a hub identifier OR a direct SKILL.md URL, and mentions --name for
frontmatter-less skills.
No code changes. No new dependencies. Website builds via the usual
Docusaurus pipeline.
Co-authored-by: teknium1 <teknium@noreply.github.com>
When a cloud browser provider (Browserbase / Browser-Use / Firecrawl) is
configured, browser_navigate now transparently spawns a local Chromium
sidecar for URLs whose host resolves to a private/loopback/LAN address
(localhost, 127.0.0.1, 192.168.x.x, 10.x.x.x, *.local, *.lan, *.internal,
::1, 169.254.x.x). Public URLs continue to use the cloud provider in the
same conversation.
Previously, setting BROWSERBASE_API_KEY / cloud_provider: browserbase
pinned the whole tool to cloud for the process — localhost URLs were
either SSRF-blocked (default) or sent to Browserbase (where they 404'd
because the cloud can't reach your LAN). Users who wanted 'cloud for
public, local for localhost' had no way to express it short of toggling
providers mid-session.
Implementation uses a composite session key scheme: the bare task_id
serves the cloud session, and a '{task_id}::local' sidecar serves the
local Chromium. _last_active_session_key[task_id] tracks which of the
two served the most recent nav so snapshot/click/fill/etc. hit the
correct one. cleanup_browser(bare_task_id) reaps both.
Feature is on by default. Opt out via:
browser:
auto_local_for_private_urls: false
The cloud provider never sees private URLs. Post-redirect SSRF guard
is preserved: redirects from public onto private addresses still block.
New `hermes kanban` CLI subcommand + `/kanban` slash command + skills for
worker and orchestrator profiles. SQLite-backed task board
(~/.hermes/kanban.db) shared across all profiles on the host. Zero
changes to run_agent.py, no new core tools, no tool-schema bloat.
Motivation: delegate_task is a function call — sync fork/join, anonymous
subagent, no resumability, no human-in-the-loop. Kanban is the durable
shape needed for research triage, scheduled ops, digital twins,
engineering pipelines, and fleet work. They coexist (workers may call
delegate_task internally).
What this adds
- hermes_cli/kanban_db.py — schema, CAS claim, dependency resolution,
dispatcher, workspace resolution, worker-context builder.
- hermes_cli/kanban.py — 15-verb CLI surface and shared run_slash()
entry point used by both CLI and gateway.
- skills/devops/kanban-worker — how a profile should work a claimed task.
- skills/devops/kanban-orchestrator — "you are a dispatcher, not a
worker" template with anti-temptation rules.
- /kanban slash command wired into cli.py and gateway/run.py. Bypasses
the running-agent guard (board writes don't touch agent state), so
/kanban unblock can free a stuck worker mid-conversation.
- Design spec at docs/hermes-kanban-v1-spec.pdf — comparative analysis
vs Cline Kanban, Paperclip, NanoClaw, Gemini Enterprise; 8 patterns;
4 user stories; implementation plan; concurrency correctness.
- Docs: website/docs/user-guide/features/kanban.md, CLI reference
updated, sidebar entry added.
Architecture highlights
- Three planes: control (user + gateway), state (board + dispatcher),
execution (pool of profile processes).
- Every worker is a full OS process, spawned as `hermes -p <profile>`.
No in-process subagent swarms — solves NanoClaw's SDK-lifecycle
failure class.
- Atomic claim via SQLite CAS in a BEGIN IMMEDIATE transaction; stale
claims reclaimed 15 min after their TTL expires.
- Tenant namespacing via one nullable column — one specialist fleet
can serve many businesses with data isolation by workspace path.
Tests: 60 targeted tests (schema, CAS atomicity, dependency resolution,
dispatcher, workspace kinds, tenancy, CLI + slash surface). All pass
hermetic via scripts/run_tests.sh.
Plugin hooks fired after a tool dispatch now receive an integer
duration_ms kwarg measuring how long the tool's registry.dispatch()
call took (time.monotonic() before/after). Inspired by Claude Code
2.1.119 which added the same field to PostToolUse hook inputs.
Wire points:
- model_tools.py: measure dispatch latency, pass duration_ms to
invoke_hook("post_tool_call", ...) and invoke_hook("transform_tool_result", ...)
- hermes_cli/hooks.py: include duration_ms in the synthetic payload
used by 'hermes hooks test' and 'hermes hooks doctor' so shell-hook
authors see the same shape at development time as runtime
- shell hooks (agent/shell_hooks.py): no code change needed;
_serialize_payload already surfaces non-top-level kwargs under
payload['extra'], so duration_ms lands at extra.duration_ms for
shell-hook scripts
Plugin authors can now build latency dashboards, per-tool SLO alerts,
and regression canaries without having to wrap every tool manually.
Test: tests/test_model_tools.py::test_post_tool_call_receives_non_negative_integer_duration_ms
E2E: real PluginManager + dispatch monkey-patched with a 50ms sleep,
hook callback observes duration_ms=50 (int).
Refs: https://code.claude.com/docs/en/changelog (2.1.119, Apr 23 2026)
The AIAgent.flush_memories pre-compression save, the gateway
_flush_memories_for_session, and everything feeding them are
obsolete now that the background memory/skill review handles
persistent memory extraction.
Problems with flush_memories:
- Pre-dates the background review loop. It was the only memory-save
path when introduced; the background review now fires every 10 user
turns on CLI and gateway alike, which is far more frequent than
compression or session reset ever triggered flush.
- Blocking and synchronous. Pre-compression flush ran on the live agent
before compression, blocking the user-visible response.
- Cache-breaking. Flush built a temporary conversation prefix
(system prompt + memory-only tool list) that diverged from the live
conversation's cached prefix, invalidating prompt caching. The
gateway variant spawned a fresh AIAgent with its own clean prompt
for each finalized session — still cache-breaking, just in a
different process.
- Redundant. Background review runs in the live conversation's
session context, gets the same content, writes to the same memory
store, and doesn't break the cache. Everything flush_memories
claimed to preserve is already covered.
What this removes:
- AIAgent.flush_memories() method (~248 LOC in run_agent.py)
- Pre-compression flush call in _compress_context
- flush_memories call sites in cli.py (/new + exit)
- GatewayRunner._flush_memories_for_session + _async_flush_memories
(and the 3 call sites: session expiry watcher, /new, /resume)
- 'flush_memories' entry from DEFAULT_CONFIG auxiliary tasks,
hermes tools UI task list, auxiliary_client docstrings
- _memory_flush_min_turns config + init
- #15631's headroom-deduction math in
_check_compression_model_feasibility (headroom was only needed
because flush dragged the full main-agent system prompt along;
the compression summariser sends a single user-role prompt so
new_threshold = aux_context is safe again)
- The dedicated test files and assertions that exercised
flush-specific paths
What this renames (with read-time backcompat on sessions.json):
- SessionEntry.memory_flushed -> SessionEntry.expiry_finalized.
The session-expiry watcher still uses the flag to avoid re-running
finalize/eviction on the same expired session; the new name
reflects what it now actually gates. from_dict() reads
'expiry_finalized' first, falls back to the legacy 'memory_flushed'
key so existing sessions.json files upgrade seamlessly.
Supersedes #15631 and #15638.
Tested: 383 targeted tests pass across run_agent/, agent/, cli/,
and gateway/ session-boundary suites. No behavior regressions —
background memory review continues to handle persistent memory
extraction on both CLI and gateway.
Follow-up to PR #15658. The feature PR introduced page-scoped slots
(<page>:top / <page>:bottom inside every built-in page) but only
touched the Shell slots catalogue. Adds proper narrative coverage so
plugin authors find the feature.
Changes
- extending-the-dashboard.md:
- Frontmatter description + intro bullet now mention page-scoped slots
- New TOC entry "Augmenting built-in pages (page-scoped slots)"
- New dedicated subsection after "Replacing built-in pages"
explaining the heavy-vs-light tradeoff, listing the pages that
expose slots, and showing a worked manifest + IIFE example with
tab.hidden: true
- Cross-link from the tab.override section pointing readers to the
lighter augmentation option
- web-dashboard.md:
- Bullet mentioning "page-scoped slots (inject widgets into
built-in pages without overriding them)"
Validation
- TOC anchor "#augmenting-built-in-pages-page-scoped-slots" matches
the generated heading slug
- Code fences balanced (64, even)
- Pre-existing docusaurus build errors (skills.json, api-server.md
link) reproduce on bare main -- not introduced here
* fix(terminal): three-layer defense against watch_patterns notification spam
Background processes that stack notify_on_complete=True with watch_patterns
can flood the user with duplicate, delayed notifications — matches deliver
asynchronously via the completion queue and continue arriving minutes after
the process has exited. The docstring warning against this (PR #12113) has
proven insufficient; agents still misuse the combination.
Three layered defenses, each sufficient on its own:
1. Mutual exclusion (terminal_tool.py): When both flags are set on a
background process, drop watch_patterns with a warning. notify_on_complete
wins because 'let me know when it's done' is the more useful signal and
fires exactly once. Extracted as _resolve_notification_flag_conflict() so
the rule is testable in isolation.
2. Suppress-after-exit (process_registry.py): _check_watch_patterns() now
bails the moment session.exited is True. Post-exit chunks (buffered reads
draining after the process is gone) no longer produce notifications. This
is the fix flagged as future work in session 20260418_020302_79881c.
3. Global circuit breaker (process_registry.py): Per-session rate limits don't
catch the sibling-flood case — N concurrent processes can each stay under
8/10s and still collectively spam. New WATCH_GLOBAL_MAX_PER_WINDOW=15 cap
trips a 30-second cooldown across ALL sessions, emits a single
watch_overflow_tripped event, silently counts dropped events, and emits a
watch_overflow_released summary when the cooldown ends.
Also updates the tool schema + docstring to document the new behavior.
Tests: 8 new tests covering all three fixes (suppress-after-exit x2,
mutual-exclusion resolver x4, global breaker trip/cooldown/release x2).
All 60 tests across test_watch_patterns.py, test_notify_on_complete.py,
test_terminal_tool.py pass.
Real-world trigger: self-inflicted in session 20260425_051924 — three
concurrent hermes-sweeper review subprocesses each set watch_patterns=
['failed validation', 'errored'] AND notify_on_complete=True, then iterated
over multiple items, producing enough matches per process to defeat the
per-session cap while staying under the global cap that didn't yet exist.
* fix(terminal): aggressive 1-per-15s watch_patterns rate limit + strike-3 promotion
Per Teknium's direction, the watch_patterns rate limit is now much more
aggressive and self-healing.
## New rule — per session
- HARD cap: 1 watch-match notification per 15 seconds per process.
- Any match arriving inside the cooldown window is dropped and counts as
ONE strike for that window (many drops in the same window still = 1 strike).
- After 3 consecutive strike windows, watch_patterns is permanently disabled
for the session and the session is auto-promoted to notify_on_complete
semantics — exactly one notification when the process actually exits.
- A cooldown window that expires with zero drops resets the consecutive
strike counter — healthy cadence is forgiven.
## Schema + docstring rewritten
The tool schema description now gives the model explicit guidance:
- notify_on_complete is 'the right choice for almost every long-running task'
- watch_patterns is for RARE one-shot signals on LONG-LIVED processes
- Do NOT use watch_patterns with loops/batch jobs — error patterns fire every
iteration and will hit the strike limit fast
- Mutual exclusion is stated on both parameter descriptions
- 1/15s cooldown and 3-strike promotion are stated in the watch_patterns
description so the model sees the contract every turn
## Removed
- WATCH_MAX_PER_WINDOW (8/10s) and WATCH_OVERLOAD_KILL_SECONDS (45) — the
new 1/15s limit subsumes both; keeping them would double-count.
- _watch_window_hits / _watch_window_start / _watch_overload_since fields
on ProcessSession. Replaced by _watch_last_emit_at / _watch_cooldown_until
/ _watch_strike_candidate / _watch_consecutive_strikes.
## Kept
- Global circuit breaker across all sessions (15/10s → 30s cooldown) as a
secondary safety net for concurrent siblings. Still valuable when 20
short-lived processes each fire once — none individually violates the
per-session limit.
- Suppress-after-exit guard.
- Mutual exclusion resolver at the tool entry point.
## Tests
- 6 new tests in TestPerSessionRateLimit covering: first match delivers,
second in cooldown suppressed, multi-drop = single strike, 3 strikes
disables + promotes, clean window resets counter, suppressed count
carried to next emit.
- Global circuit breaker tests rewritten to use fresh sessions instead of
hacking removed per-window fields.
- 50/50 watch_patterns + notify_on_complete tests pass.
- 60/60 including test_terminal_tool.py pass.
* feat(dashboard): page-scoped plugin slots for built-in pages
Dashboard plugins can now inject components into specific built-in
pages (Sessions, Analytics, Logs, Cron, Skills, Config, Env, Docs,
Chat) without overriding the whole route.
Previously, plugins could only:
1. Add new tabs (tab.path)
2. Replace whole built-in pages (tab.override)
3. Inject into global shell slots (header-*, footer-*, pre-main, ...)
None of those let a plugin add a banner, card, or widget to an
existing page. The new <page>:top / <page>:bottom slots close that
gap, reusing the existing registerSlot() API.
Changes
- web/src/plugins/slots.ts: 18 new KNOWN_SLOT_NAMES entries
(sessions:top, sessions:bottom, analytics:top, ..., chat:bottom),
grouped under "Shell-wide" vs "Page-scoped" in the docblock
- web/src/pages/*: each built-in page now renders
<PluginSlot name="<page>:top" />
as the first child of its outer wrapper and
<PluginSlot name="<page>:bottom" />
as the last child -- zero visual cost when no plugin registers
- plugins/example-dashboard: registers a demo banner into
sessions:top via registerSlot(), with matching slots entry in
the manifest -- so freshly-setup users can see what page-scoped
slots look like without writing any plugin code
- website/docs: new "Page-scoped slots" table in the plugin
authoring guide, with a worked example
- tests/hermes_cli/test_web_server.py: round-trip test for
colon-bearing slot names (sessions:top, analytics:bottom, ...)
Validation
- npm run build: clean (tsc -b + vite build, 2761 modules)
- scripts/run_tests.sh tests/hermes_cli/test_web_server.py::TestDashboardPluginManifestExtensions: 5/5 pass
The web-dashboard.md and dashboard-plugins.md pages had overlapping,
partial coverage of the theme and plugin systems. Themes were split
across two pages; the plugin docs had a minimal manifest reference but
no step-by-step guide, no slot catalog, and no theme+plugin demo.
New: user-guide/features/extending-the-dashboard.md — single navigable
reference for all three extension layers (themes, UI plugins, backend
plugins). Includes:
- Theme quick-start + full schema (palette, typography, layout, layout
variants, assets, componentStyles, colorOverrides, customCSS)
- Plugin quick-start + full schema (manifest, SDK, slots, tab.override,
tab.hidden, backend routes, custom CSS)
- 10-slot shell catalog with locations
- Plugin discovery + load lifecycle
- Combined theme+plugin walkthrough (Strike Freedom cockpit demo)
- API reference + troubleshooting
web-dashboard.md: trimmed to core tool docs (pages, REST API, CORS,
development). Theme/plugin content now points to the new page with a
built-in themes summary table.
dashboard-plugins.md: deleted (merged into extending-the-dashboard.md).
sidebars.ts: swap 'dashboard-plugins' → 'extending-the-dashboard' under
the Management group.
No user-facing behavior change; docs-only.
Exposes hermes --tui over a PTY-backed WebSocket so the dashboard can
embed the real TUI rather than reimplement its surface. The browser
attaches xterm.js to the socket; keystrokes flow in, PTY output bytes
flow out.
Architecture:
browser <Terminal> (xterm.js)
│ onData ───► ws.send(keystrokes)
│ onResize ► ws.send('\x1b[RESIZE:cols;rows]')
│ write ◄── ws.onmessage (PTY bytes)
▼
FastAPI /api/pty (token-gated, loopback-only)
▼
PtyBridge (ptyprocess) ── spawns node ui-tui/dist/entry.js ──► tui_gateway + AIAgent
Components
----------
hermes_cli/pty_bridge.py
Thin wrapper around ptyprocess.PtyProcess: byte-safe read/write on the
master fd via os.read/os.write (not PtyProcessUnicode — ANSI is
inherently byte-oriented and UTF-8 boundaries may land mid-read),
non-blocking select-based reads, TIOCSWINSZ resize, idempotent
SIGHUP→SIGTERM→SIGKILL teardown, platform guard (POSIX-only; Windows
is WSL-supported only).
hermes_cli/web_server.py
@app.websocket("/api/pty") endpoint gated by the existing
_SESSION_TOKEN (via ?token= query param since browsers can't set
Authorization on WS upgrades). Loopback-only enforcement. Reader task
uses run_in_executor to pump PTY bytes without blocking the event
loop. Writer loop intercepts a custom \x1b[RESIZE:cols;rows] escape
before forwarding to the PTY. The endpoint resolves the TUI argv
through a _resolve_chat_argv hook so tests can inject fake commands
without building the real TUI.
Tests
-----
tests/hermes_cli/test_pty_bridge.py — 12 unit tests: spawn, stdout,
stdin round-trip, EOF, resize (via TIOCSWINSZ + tput readback), close
idempotency, cwd, env forwarding, unavailable-platform error.
tests/hermes_cli/test_web_server.py — TestPtyWebSocket adds 7 tests:
missing/bad token rejection (close code 4401), stdout streaming,
stdin round-trip, resize escape forwarding, unavailable-platform ANSI
error frame + 1011 close, resume parameter forwarding to argv.
96 tests pass under scripts/run_tests.sh.
(cherry picked from commit 29b337bca70fc9efb082a5a852ea2cd5381af1a9)
feat(web): add Chat tab with xterm.js terminal + Sessions resume button
(cherry picked from commit 3d21aee8 by emozilla, conflicts resolved
against current main: BUILTIN_ROUTES table + plugin slot layout)
fix(tui): replace OSC 52 jargon in /copy confirmation
When the user ran /copy successfully, Ink confirmed with:
sent OSC52 copy sequence (terminal support required)
That reads like a protocol spec to everyone who isn't a terminal
implementer. The caveat was a historical artifact — OSC 52 wasn't
universally supported when this message was written, so the TUI
honestly couldn't guarantee the copy had landed anywhere.
Today every modern terminal (including the dashboard's embedded
xterm.js) handles OSC 52 reliably. Say what the user actually wants
to know — that it copied, and how much — matching the message the
TUI already uses for selection copy:
copied 1482 chars
(cherry picked from commit a0701b1d5a598dd1d3b94038a7bcbb2a3ab559fc)
docs: document the dashboard Chat tab
AGENTS.md — new subsection under TUI Architecture explaining that the
dashboard embeds the real hermes --tui rather than rewriting it,
with pointers to the pty_bridge + WebSocket endpoint and the rule
'never add a parallel chat surface in React.'
website/docs/user-guide/features/web-dashboard.md — user-facing Chat
section inside the existing Web Dashboard page, covering how it works
(WebSocket + PTY + xterm.js), the Sessions-page resume flow, and
prerequisites (Node.js, ptyprocess, POSIX kernel / WSL on Windows).
(cherry picked from commit 2c2e32cc4519973c77b63016316b065c0f656704)
feat(tui-gateway): transport-aware dispatch + WebSocket sidecar
Decouples the JSON-RPC dispatcher from its I/O sink so the same handler
surface can drive multiple transports concurrently. The PTY chat tab
already speaks to the TUI binary as bytes — this adds a structured
event channel alongside it for dashboard-side React widgets that need
typed events (tool.start/complete, model picker state, slash catalog)
that PTY can't surface.
- `tui_gateway/transport.py` — `Transport` protocol + `contextvars` binding
+ module-level `StdioTransport` fallback. The stdio stream resolves
through a lambda so existing tests that monkey-patch `_real_stdout`
keep passing without modification.
- `tui_gateway/ws.py` — WebSocket transport implementation; FastAPI
endpoint mounting lives in hermes_cli/web_server.py.
- `tui_gateway/server.py`:
- `write_json` routes via session transport (for async events) →
contextvar transport (for in-request writes) → stdio fallback.
- `dispatch(req, transport=None)` binds the transport for the request
lifetime and propagates it to pool workers via `contextvars.copy_context`
so async handlers don't lose their sink.
- `_init_session` and the manual-session create path stash the
request's transport so out-of-band events (subagent.complete, etc.)
fan out to the right peer.
`tui_gateway.entry` (Ink's stdio handshake) is unchanged externally —
it falls through every precedence step into the stdio fallback, byte-
identical to the previous behaviour.
feat(web): ChatSidebar — JSON-RPC sidecar next to xterm.js terminal
Composes the two transports into a single Chat tab:
┌─────────────────────────────────────────┬──────────────┐
│ xterm.js / PTY (emozilla #13379) │ ChatSidebar │
│ the literal hermes --tui process │ /api/ws │
└─────────────────────────────────────────┴──────────────┘
terminal bytes structured events
The terminal pane stays the canonical chat surface — full TUI fidelity,
slash commands, model picker, mouse, skin engine, wide chars all paint
inside the terminal. The sidebar opens a parallel JSON-RPC WebSocket
to the same gateway and renders metadata that PTY can't surface to
React chrome:
• model + provider badge with connection state (click → switch)
• running tool-call list (driven by tool.start / tool.progress /
tool.complete events)
• model picker dialog (gateway-driven, reuses ModelPickerDialog)
The sidecar is best-effort. If the WS can't connect (older gateway,
network hiccup, missing token) the terminal pane keeps working
unimpaired — sidebar just shows the connection-state badge in the
appropriate tone.
- `web/src/components/ChatSidebar.tsx` — new component (~270 lines).
Owns its GatewayClient, drives the model picker through
`slash.exec`, fans tool events into a capped tool list.
- `web/src/pages/ChatPage.tsx` — split layout: terminal pane
(`flex-1`) + sidebar (`w-80`, `lg+` only).
- `hermes_cli/web_server.py` — mount `/api/ws` (token + loopback
guards mirror /api/pty), delegate to `tui_gateway.ws.handle_ws`.
Co-authored-by: emozilla <emozilla@nousresearch.com>
refactor(web): /clean pass on ChatSidebar + ChatPage lint debt
- ChatSidebar: lift gw out of useRef into a useMemo derived from a
reconnect counter. React 19's react-hooks/refs and react-hooks/
set-state-in-effect rules both fire when you touch a ref during
render or call setState from inside a useEffect body. The
counter-derived gw is the canonical pattern for "external resource
that needs to be replaceable on user action" — re-creating the
client comes from bumping `version`, the effect just wires + tears
down. Drops the imperative `gwRef.current = …` reassign in
reconnect, drops the truthy ref guard in JSX. modelLabel +
banner inlined as derived locals (one-off useMemo was overkill).
- ChatPage: lazy-init the banner state from the missing-token check
so the effect body doesn't have to setState on first run. Drops
the unused react-hooks/exhaustive-deps eslint-disable. Adds a
scoped no-control-regex disable on the SGR mouse parser regex
(the \\x1b is intentional for xterm escape sequences).
All my-touched files now lint clean. Remaining warnings on web/
belong to pre-existing files this PR doesn't touch.
Verified: vitest 249/249, ui-tui eslint clean, web tsc clean,
python imports clean.
chore: uptick
fix(web): drop ChatSidebar tool list — events can't cross PTY/WS boundary
The /api/pty endpoint spawns `hermes --tui` as a child process with its
own tui_gateway and _sessions dict; /api/ws runs handle_ws in-process in
the dashboard server with a separate _sessions dict. Tool events fire on
the child's gateway and never reach the WS sidecar, so the sidebar's
tool.start/progress/complete listeners always observed an empty list.
Drop the misleading list (and the now-orphaned ToolCall primitive),
keep model badge + connection state + model picker + error banner —
those work because they're sidecar-local concerns. Surfacing tool calls
in the sidebar requires cross-process forwarding (PTY child opens a
back-WS to the dashboard, gateway tees emits onto stdio + sidecar
transport) — proper feature for a follow-up.
feat(web): wire ChatSidebar tool list to PTY child via /api/pub broadcast
The dashboard's /api/pty spawns hermes --tui as a child process; tool
events fire in the python tui_gateway grandchild and never crossed the
process boundary into the in-process WS sidecar — so the sidebar tool
list was always empty.
Cross-process forwarding:
- tui_gateway: TeeTransport (transport.py) + WsPublisherTransport
(event_publisher.py, sync websockets client). entry.py installs the
tee on _stdio_transport when HERMES_TUI_SIDECAR_URL is set, mirroring
every dispatcher emit to a back-WS without disturbing Ink's stdio
handshake.
- hermes_cli/web_server.py: new /api/pub (publisher) + /api/events
(subscriber) endpoints with a per-channel registry. /api/pty now
accepts ?channel= and propagates the sidecar URL via env. start_server
also stashes app.state.bound_port so the URL is constructable.
- web/src/pages/ChatPage.tsx: generates a channel UUID per mount,
passes it to /api/pty and as a prop to ChatSidebar.
- web/src/components/ChatSidebar.tsx: opens /api/events?channel=, fans
tool.start/progress/complete back into the ToolCall list. Restores
the ToolCall primitive.
Tests: 4 new TestPtyWebSocket cases cover channel propagation,
broadcast fan-out, and missing-channel rejection (10 PTY tests pass,
120 web_server tests overall).
fix(web): address Copilot review on #14890
Five threads, all real:
- gatewayClient.ts: register `message`/`close` listeners BEFORE awaiting
the open handshake. Server emits `gateway.ready` immediately after
accept, so a listener attached after the open promise could race past
the initial skin payload and lose it.
- ChatSidebar.tsx: wire `error`/`close` on the /api/events subscriber
WS into the existing error banner. 4401/4403 (auth/loopback reject)
surface as a "reload the page" message; mid-stream drops surface as
"events feed disconnected" with the existing reconnect button. Clean
unmount closes (1000/1001) stay silent.
- web-dashboard.md: install hint was `pip install hermes-agent[web]` but
ptyprocess lives in the `pty` extra, not `web`. Switch to
`hermes-agent[web,pty]` in both prerequisite blocks.
- AGENTS.md: previous "never add a parallel React chat surface" guidance
was overbroad and contradicted this PR's sidebar. Tightened to forbid
re-implementing the transcript/composer/PTY terminal while explicitly
allowing structured supporting widgets (sidebar / model picker /
inspectors), matching the actual architecture.
- web/package-lock.json: regenerated cleanly so the wterm sibling
workspace paths (extraneous machine-local entries) stop polluting CI.
Tests: 249/249 vitest, 10/10 PTY/events, web tsc clean.
refactor(web): /clean pass on ChatSidebar events handler
Spotted in the round-2 review:
- Banner flashed on clean unmount: `ws.close()` from the effect cleanup
fires `close` with code 1005, opened=true, neither 1000 nor 1001 —
hit the "unexpected drop" branch. Track `unmounting` in the effect
scope and gate the banner through a `surface()` helper so cleanup
closes stay silent.
- DRY the duplicated "events feed disconnected" string into a local
const used by both the error and close handlers.
- Drop the `opened` flag (no longer needed once the unmount guard is
the source of truth for "is this an expected close?").
A — 'hermes tools' activation now runs the full Spotify wizard.
Previously a user had to (1) toggle the Spotify toolset on in 'hermes
tools' AND (2) separately run 'hermes auth spotify' to actually use
it. The second step was a discovery gap — the docs mentioned it but
nothing in the TUI pointed users there.
Now toggling Spotify on calls login_spotify_command as a post_setup
hook. If the user has no client_id yet, the interactive wizard walks
them through Spotify app creation; if they do, it skips straight to
PKCE. Either way, one 'hermes tools' pass leaves Spotify toggled on
AND authenticated. SystemExit from the wizard (user abort) leaves the
toolset enabled and prints a 'run: hermes auth spotify' hint — it
does NOT fail the toolset toggle.
Dropped the TOOL_CATEGORIES env_vars list for Spotify. The wizard
handles HERMES_SPOTIFY_CLIENT_ID persistence itself, and asking users
to type env var names before the wizard fires was UX-backwards — the
point of the wizard is that they don't HAVE a client_id yet.
B — Docs page now covers cron + Spotify.
New 'Scheduling: Spotify + cron' section with two working examples
(morning playlist, wind-down pause) using the real 'hermes cron add'
CLI surface (verified via 'cron add --help'). Covers the active-device
gotcha, Premium gating, memory isolation, and links to the cron docs.
Also fixed a stale '9 Spotify tools' reference in the setup copy —
we consolidated to 7 tools in #15154.
Validation:
- scripts/run_tests.sh tests/hermes_cli/test_tools_config.py
tests/hermes_cli/test_spotify_auth.py
tests/tools/test_spotify_client.py
→ 54 passed
- website: node scripts/prebuild.mjs && npx docusaurus build
→ SUCCESS, no new warnings
Three quality improvements on top of #15121 / #15130 / #15135:
1. Tool consolidation (9 → 7)
- spotify_saved_tracks + spotify_saved_albums → spotify_library with
kind='tracks'|'albums'. Handler code was ~90 percent identical
across the two old tools; the merge is a behavioral no-op.
- spotify_activity dropped. Its 'now_playing' action was a duplicate
of spotify_playback.get_currently_playing (both return identical
204/empty payloads). Its 'recently_played' action moves onto
spotify_playback as a new action — history belongs adjacent to
live state.
- Net: each API call ships 2 fewer tool schemas when the Spotify
toolset is enabled, and the action surface is more discoverable
(everything playback-related is on one tool).
2. Spotify skill (skills/media/spotify/SKILL.md)
Teaches the agent canonical usage patterns so common requests don't
balloon into 4+ tool calls:
- 'play X' = one search, then play by URI (not search + scan +
describe + play)
- 'what's playing' = single get_currently_playing (no preflight
get_state chain)
- Don't retry on '403 Premium required' or '403 No active device' —
both require user action
- URI/URL/bare-ID format normalization
- Full failure-mode reference for 204/401/403/429
3. Surfaced in 'hermes setup' tool status
Adds 'Spotify (PKCE OAuth)' to the tool status list when
auth.json has a Spotify access/refresh token. Matches the
homeassistant pattern but reads from auth.json (OAuth-based) rather
than env vars.
Docs updated to reflect the new 7-tool surface, and mention the
companion skill in the 'Using it' section.
Tests: 54 passing (client 22, auth 15, tools_config 35 — 18 = 54 after
renaming/replacing the spotify_activity tests with library +
recently_played coverage). Docusaurus build clean.
The initial Spotify docs page shipped in #15130 was a setup guide. This
expands it into a full feature reference:
- Per-tool parameter table for all 9 tools, extracted from the real
schemas in tools/spotify_tool.py (actions, required/optional args,
premium gating).
- Free vs Premium feature matrix — which actions work on which tier,
so Free users don't assume Spotify tools are useless to them.
- Active-device prerequisite called out at the top; this is the #1
cause of '403 no active device' reports for every Spotify
integration.
- SSH / headless section explaining that browser auto-open is skipped
when SSH_CLIENT/SSH_TTY is set, and how to tunnel the callback port.
- Token lifecycle: refresh on 401, persistence across restarts, how
to revoke server-side via spotify.com/account/apps.
- Example prompt list so users know what to ask the agent.
- Troubleshooting expanded: no-active-device, Premium-required, 204
now_playing, INVALID_CLIENT, 429, 401 refresh-revoked, wizard not
opening browser.
- 'Where things live' table mapping auth.json / .env / Spotify app.
Verified with 'node scripts/prebuild.mjs && npx docusaurus build'
— page compiles, no new warnings.
Previously 'hermes auth spotify' crashed with 'HERMES_SPOTIFY_CLIENT_ID
is required' if the user hadn't manually created a Spotify developer
app and set env vars. Now the command detects a missing client_id and
walks the user through the one-time app registration inline:
- Opens https://developer.spotify.com/dashboard in the browser
- Tells the user exactly what to paste into the Spotify form
(including the correct default redirect URI, 127.0.0.1:43827)
- Prompts for the Client ID
- Persists HERMES_SPOTIFY_CLIENT_ID to ~/.hermes/.env so subsequent
runs skip the wizard
- Continues straight into the PKCE OAuth flow
Also prints the docs URL at both the start of the wizard and the end
of a successful login so users can find the full guide.
Adds website/docs/user-guide/features/spotify.md with the complete
setup walkthrough, tool reference, and troubleshooting, and wires it
into the sidebar under User Guide > Features > Advanced.
Fixes a stale redirect URI default in the hermes_cli/tools_config.py
TOOL_CATEGORIES entry (was 8888/callback from the PR description
instead of the actual DEFAULT_SPOTIFY_REDIRECT_URI value
43827/spotify/callback defined in auth.py).
Cron jobs can now specify a per-job working directory. When set, the job
runs as if launched from that directory: AGENTS.md / CLAUDE.md /
.cursorrules from that dir are injected into the system prompt, and the
terminal / file / code-exec tools use it as their cwd (via TERMINAL_CWD).
When unset, old behaviour is preserved (no project context files, tools
use the scheduler's cwd).
Requested by @bluthcy.
## Mechanism
- cron/jobs.py: create_job / update_job accept 'workdir'; validated to
be an absolute existing directory at create/update time.
- cron/scheduler.py run_job: if job.workdir is set, point TERMINAL_CWD
at it and flip skip_context_files to False before building the agent.
Restored in finally on every exit path.
- cron/scheduler.py tick: workdir jobs run sequentially (outside the
thread pool) because TERMINAL_CWD is process-global. Workdir-less jobs
still run in the parallel pool unchanged.
- tools/cronjob_tools.py + hermes_cli/cron.py + hermes_cli/main.py:
expose 'workdir' via the cronjob tool and 'hermes cron create/edit
--workdir ...'. Empty string on edit clears the field.
## Validation
- tests/cron/test_cron_workdir.py (21 tests): normalize, create, update,
JSON round-trip via cronjob tool, tick partition (workdir jobs run on
the main thread, not the pool), run_job env toggle + restore in finally.
- Full targeted suite (tests/cron/, test_cronjob_tools.py, test_cron.py,
test_config_cwd_bridge.py, test_worktree.py): 314/314 passed.
- Live smoke: hermes cron create --workdir $(pwd) works; relative path
rejected; list shows 'Workdir:'; edit --workdir '' clears.
Follow-up to aeff6dfe:
- Fix semantic error in VALID_HOOKS inline comment ("after core auth" ->
"before auth"). Hook intentionally runs BEFORE auth so plugins can
handle unauthorized senders without triggering the pairing flow.
- Fix wrong class name in the same comment (HermesGateway ->
GatewayRunner, matching gateway/run.py).
- Add a full ### pre_gateway_dispatch section in
website/docs/user-guide/features/hooks.md (matches the pattern of
every other plugin hook: signature, params table, fires-where,
return-value table, use cases, two worked examples) plus a row in
the quick-reference table.
- Add the anchor link on the plugins.md table row so it matches the
other hook entries.
No code behavior change.
Introduces a new plugin hook `pre_gateway_dispatch` fired once per
incoming MessageEvent in `_handle_message`, after the internal-event
guard but before the auth / pairing chain. Plugins may return a dict
to influence flow:
{"action": "skip", "reason": "..."} -> drop (no reply)
{"action": "rewrite", "text": "..."} -> replace event.text
{"action": "allow"} / None -> normal dispatch
Motivation: gateway-level message-flow patterns that don't fit cleanly
into any single adapter — e.g. listen-only group-chat windows (buffer
ambient messages, collapse on @mention), or human-handover silent
ingest (record messages while an owner handles the chat manually).
Today these require forking core; with this hook they can live in a
single profile-agnostic plugin.
Hook runs BEFORE auth so plugins can handle unauthorized senders
(e.g. customer-service handover ingest) without triggering the
pairing-code flow. Exceptions in plugin callbacks are caught and
logged; the first non-None action dict wins, remaining results are
ignored.
Includes:
- `VALID_HOOKS` entry + inline doc in `hermes_cli/plugins.py`
- Invocation block in `gateway/run.py::_handle_message`
- 5 new tests in `tests/gateway/test_pre_gateway_dispatch.py`
(skip, rewrite, allow, exception safety, internal-event bypass)
- 2 additional tests in `tests/hermes_cli/test_plugins.py`
- Table entry in `website/docs/user-guide/features/plugins.md`
Made-with: Cursor
* docs: browser CDP supervisor design (for upcoming PR)
Design doc ahead of implementation — dialog + iframe detection/interaction
via a persistent CDP supervisor. Covers backend capability matrix (verified
live 2026-04-23), architecture, lifecycle, policy, agent surface, PR split,
non-goals, and test plan.
Supersedes #12550.
No code changes in this commit.
* feat(browser): add persistent CDP supervisor for dialog + frame detection
Single persistent CDP WebSocket per Hermes task_id that subscribes to
Page/Runtime/Target events and maintains thread-safe state for pending
dialogs, frame tree, and console errors.
Supervisor lives in its own daemon thread running an asyncio loop;
external callers use sync API (snapshot(), respond_to_dialog()) that
bridges onto the loop.
Auto-attaches to OOPIF child targets via Target.setAutoAttach{flatten:true}
and enables Page+Runtime on each so iframe-origin dialogs surface through
the same supervisor.
Dialog policies: must_respond (default, 300s safety timeout),
auto_dismiss, auto_accept.
Frame tree capped at 30 entries + OOPIF depth 2 to keep snapshot
payloads bounded on ad-heavy pages.
E2E verified against real Chrome via smoke test — detects + responds
to main-frame alerts, iframe-contentWindow alerts, preserves frame
tree, graceful no-dialog error path, clean shutdown.
No agent-facing tool wiring in this commit (comes next).
* feat(browser): add browser_dialog tool wired to CDP supervisor
Agent-facing response-only tool. Schema:
action: 'accept' | 'dismiss' (required)
prompt_text: response for prompt() dialogs (optional)
dialog_id: disambiguate when multiple dialogs queued (optional)
Handler:
SUPERVISOR_REGISTRY.get(task_id).respond_to_dialog(...)
check_fn shares _browser_cdp_check with browser_cdp so both surface and
hide together. When no supervisor is attached (Camofox, default
Playwright, or no browser session started yet), tool is hidden; if
somehow invoked it returns a clear error pointing the agent to
browser_navigate / /browser connect.
Registered in _HERMES_CORE_TOOLS and the browser / hermes-acp /
hermes-api-server toolsets alongside browser_cdp.
* feat(browser): wire CDP supervisor into session lifecycle + browser_snapshot
Supervisor lifecycle:
* _get_session_info lazy-starts the supervisor after a session row is
materialized — covers every backend code path (Browserbase, cdp_url
override, /browser connect, future providers) with one hook.
* cleanup_browser(task_id) stops the supervisor for that task first
(before the backend tears down CDP).
* cleanup_all_browsers() calls SUPERVISOR_REGISTRY.stop_all().
* /browser connect eagerly starts the supervisor for task 'default'
so the first snapshot already shows pending_dialogs.
* /browser disconnect stops the supervisor.
CDP URL resolution for the supervisor:
1. BROWSER_CDP_URL / browser.cdp_url override.
2. Fallback: session_info['cdp_url'] from cloud providers (Browserbase).
browser_snapshot merges supervisor state (pending_dialogs + frame_tree)
into its JSON output when a supervisor is active — the agent reads
pending_dialogs from the snapshot it already requests, then calls
browser_dialog to respond. No extra tool surface.
Config defaults:
* browser.dialog_policy: 'must_respond' (new)
* browser.dialog_timeout_s: 300 (new)
No version bump — new keys deep-merge into existing browser section.
Deadlock fix in supervisor event dispatch:
* _on_dialog_opening and _on_target_attached used to await CDP calls
while the reader was still processing an event — but only the reader
can set the response Future, so the call timed out.
* Both now fire asyncio.create_task(...) so the reader stays pumping.
* auto_dismiss/auto_accept now actually close the dialog immediately.
Tests (tests/tools/test_browser_supervisor.py, 11 tests, real Chrome):
* supervisor start/snapshot
* main-frame alert detection + dismiss
* iframe.contentWindow alert
* prompt() with prompt_text reply
* respond with no pending dialog -> clean error
* auto_dismiss clears on event
* registry idempotency
* registry stop -> snapshot reports inactive
* browser_dialog tool no-supervisor error
* browser_dialog invalid action
* browser_dialog end-to-end via tool handler
xdist-safe: chrome_cdp fixture uses a per-worker port.
Skipped when google-chrome/chromium isn't installed.
* docs(browser): document browser_dialog tool + CDP supervisor
- user-guide/features/browser.md: new browser_dialog section with
workflow, availability gate, and dialog_policy table
- reference/tools-reference.md: row for browser_dialog, tool count
bumped 53 -> 54, browser tools count 11 -> 12
- reference/toolsets-reference.md: browser_dialog added to browser
toolset row with note on pending_dialogs / frame_tree snapshot fields
Full design doc lives at
developer-guide/browser-supervisor.md (committed earlier).
* fix(browser): reconnect loop + recent_dialogs for Browserbase visibility
Found via Browserbase E2E test that revealed two production-critical issues:
1. **Supervisor WebSocket drops when other clients disconnect.** Browserbase's
CDP proxy tears down our long-lived WebSocket whenever a short-lived
client (e.g. agent-browser CLI's per-command CDP connection) disconnects.
Fixed with a reconnecting _run loop that re-attaches with exponential
backoff on drops. _page_session_id and _child_sessions are reset on each
reconnect; pending_dialogs and frames are preserved across reconnects.
2. **Browserbase auto-dismisses dialogs server-side within ~10ms.** Their
Playwright-based CDP proxy dismisses alert/confirm/prompt before our
Page.handleJavaScriptDialog call can respond. So pending_dialogs is
empty by the time the agent reads a snapshot on Browserbase.
Added a recent_dialogs ring buffer (capacity 20) that retains a
DialogRecord for every dialog that opened, with a closed_by tag:
* 'agent' — agent called browser_dialog
* 'auto_policy' — local auto_dismiss/auto_accept fired
* 'watchdog' — must_respond timeout auto-dismissed (300s default)
* 'remote' — browser/backend closed it on us (Browserbase)
Agents on Browserbase now see the dialog history with closed_by='remote'
so they at least know a dialog fired, even though they couldn't respond.
3. **Page.javascriptDialogClosed matching bug.** The event doesn't include a
'message' field (CDP spec has only 'result' and 'userInput') but our
_on_dialog_closed was matching on message. Fixed to match by session_id
+ oldest-first, with a safety assumption that only one dialog is in
flight per session (the JS thread is blocked while a dialog is up).
Docs + tests updated:
* browser.md: new availability matrix showing the three backends and
which mode (pending / recent / response) each supports
* developer-guide/browser-supervisor.md: three-field snapshot schema
with closed_by semantics
* test_browser_supervisor.py: +test_recent_dialogs_ring_buffer (12/12
passing against real Chrome)
E2E verified both backends:
* Local Chrome via /browser connect: detect + respond full workflow
(smoke_supervisor.py all 7 scenarios pass)
* Browserbase: detect via recent_dialogs with closed_by='remote'
(smoke_supervisor_browserbase_v2.py passes)
Camofox remains out of scope (REST-only, no CDP) — tracked for
upstream PR 3.
* feat(browser): XHR bridge for dialog response on Browserbase (FIXED)
Browserbase's CDP proxy auto-dismisses native JS dialogs within ~10ms, so
Page.handleJavaScriptDialog calls lose the race. Solution: bypass native
dialogs entirely.
The supervisor now injects Page.addScriptToEvaluateOnNewDocument with a
JavaScript override for window.alert/confirm/prompt. Those overrides
perform a synchronous XMLHttpRequest to a magic host
('hermes-dialog-bridge.invalid'). We intercept those XHRs via Fetch.enable
with a requestStage=Request pattern.
Flow when a page calls alert('hi'):
1. window.alert override intercepts, builds XHR GET to
http://hermes-dialog-bridge.invalid/?kind=alert&message=hi
2. Sync XHR blocks the page's JS thread (mirrors real dialog semantics)
3. Fetch.requestPaused fires on our WebSocket; supervisor surfaces
it as a pending dialog with bridge_request_id set
4. Agent reads pending_dialogs from browser_snapshot, calls browser_dialog
5. Supervisor calls Fetch.fulfillRequest with JSON body:
{accept: true|false, prompt_text: '...', dialog_id: 'd-N'}
6. The injected script parses the body, returns the appropriate value
from the override (undefined for alert, bool for confirm, string|null
for prompt)
This works identically on Browserbase AND local Chrome — no native dialog
ever fires, so Browserbase's auto-dismiss has nothing to race. Dialog
policies (must_respond / auto_dismiss / auto_accept) all still work.
Bridge is installed on every attached session (main page + OOPIF child
sessions) so iframe dialogs are captured too.
Native-dialog path kept as a fallback for backends that don't auto-dismiss
(so a page that somehow bypasses our override — e.g. iframes that load
after Fetch.enable but before the init-script runs — still gets observed
via Page.javascriptDialogOpening).
E2E VERIFIED:
* Local Chrome: 13/13 pytest tests green (12 original + new
test_bridge_captures_prompt_and_returns_reply_text that asserts
window.__ret === 'AGENT-SUPPLIED-REPLY' after agent responds)
* Browserbase: smoke_bb_bridge_v2.py runs 4/4 PASS:
- alert('BB-ALERT-MSG') dismiss → page.alert_ret = undefined ✓
- prompt('BB-PROMPT-MSG', 'default-xyz') accept with 'AGENT-REPLY'
→ page.prompt_ret === 'AGENT-REPLY' ✓
- confirm('BB-CONFIRM-MSG') accept → page.confirm_ret === true ✓
- confirm('BB-CONFIRM-MSG') dismiss → page.confirm_ret === false ✓
Docs updated in browser.md and developer-guide/browser-supervisor.md —
availability matrix now shows Browserbase at full parity with local
Chrome for both detection and response.
* feat(browser): cross-origin iframe interaction via browser_cdp(frame_id=...)
Adds iframe interaction to the CDP supervisor PR (was queued as PR 2).
Design: browser_cdp gets an optional frame_id parameter. When set, the
tool looks up the frame in the supervisor's frame_tree, grabs its child
cdp_session_id (OOPIF session), and dispatches the CDP call through the
supervisor's already-connected WebSocket via run_coroutine_threadsafe.
Why not stateless: on Browserbase, each fresh browser_cdp WebSocket
must re-negotiate against a signed connectUrl. The session info carries
a specific URL that can expire while the supervisor's long-lived
connection stays valid. Routing via the supervisor sidesteps this.
Agent workflow:
1. browser_snapshot → frame_tree.children[] shows OOPIFs with is_oopif=true
2. browser_cdp(method='Runtime.evaluate', frame_id=<OOPIF frame_id>,
params={'expression': 'document.title', 'returnByValue': True})
3. Supervisor dispatches the call on the OOPIF's child session
Supervisor state fixes needed along the way:
* _on_frame_detached now skips reason='swap' (frame migrating processes)
* _on_frame_detached also skips when the frame is an OOPIF with a live
child session — Browserbase fires spurious remove events when a
same-origin iframe gets promoted to OOPIF
* _on_target_detached clears cdp_session_id but KEEPS the frame record
so the agent still sees the OOPIF in frame_tree during transient
session flaps
E2E VERIFIED on Browserbase (smoke_bb_iframe_agent_path.py):
browser_cdp(method='Runtime.evaluate',
params={'expression': 'document.title', 'returnByValue': True},
frame_id=<OOPIF>)
→ {'success': True, 'result': {'value': 'Example Domain'}}
The iframe is <iframe src='https://example.com/'> inside a top-level
data: URL page on a real Browserbase session. The agent Runtime.evaluates
INSIDE the cross-origin iframe and gets example.com's title back.
Tests (tests/tools/test_browser_supervisor.py — 16 pass total):
* test_browser_cdp_frame_id_routes_via_supervisor — injects fake OOPIF,
verifies routing via supervisor, Runtime.evaluate returns 1+1=2
* test_browser_cdp_frame_id_missing_supervisor — clean error when no
supervisor attached
* test_browser_cdp_frame_id_not_in_frame_tree — clean error on bad
frame_id
Docs (browser.md and developer-guide/browser-supervisor.md) updated with
the iframe workflow, availability matrix now shows OOPIF eval as shipped
for local Chrome + Browserbase.
* test(browser): real-OOPIF E2E verified manually + chrome_cdp uses --site-per-process
When asked 'did you test the iframe stuff' I had only done a mocked
pytest (fake injected OOPIF) plus a Browserbase E2E. Closed the
local-Chrome real-OOPIF gap by writing /tmp/dialog-iframe-test/
smoke_local_oopif.py:
* 2 http servers on different hostnames (localhost:18905 + 127.0.0.1:18906)
* Chrome with --site-per-process so the cross-origin iframe becomes a
real OOPIF in its own process
* Navigate, find OOPIF in supervisor.frame_tree, call
browser_cdp(method='Runtime.evaluate', frame_id=<OOPIF>) which routes
through the supervisor's child session
* Asserts iframe document.title === 'INNER-FRAME-XYZ' (from the
inner page, retrieved via OOPIF eval)
PASSED on 2026-04-23.
Tried to embed this as a pytest but hit an asyncio version quirk between
venv (3.11) and the system python (3.13) — Page.navigate hangs in the
pytest harness but works in standalone. Left a self-documenting skip
test that points to the smoke script + describes the verification.
chrome_cdp fixture now passes --site-per-process so future iframe tests
can rely on OOPIF behavior.
Result: 16 pass + 1 documented-skip = 17 tests in
tests/tools/test_browser_supervisor.py.
* docs(browser): add dialog_policy + dialog_timeout_s to configuration.md, fix tool count
Pre-merge docs audit revealed two gaps:
1. user-guide/configuration.md browser config example was missing the
two new dialog_* knobs. Added with a short table explaining
must_respond / auto_dismiss / auto_accept semantics and a link to
the feature page for the full workflow.
2. reference/tools-reference.md header said '54 built-in tools' — real
count on main is 54, this branch adds browser_dialog so it's 55.
Fixed the header. (browser count was already correctly bumped
11 -> 12 in the earlier docs commit.)
No code changes.
Themes and plugins can now pull off arbitrary dashboard reskins (cockpit
HUD, retro terminal, etc.) without touching core code.
Themes gain four new fields:
- layoutVariant: standard | cockpit | tiled — shell layout selector
- assets: {bg, hero, logo, crest, sidebar, header, custom: {...}} —
artwork URLs exposed as --theme-asset-* CSS vars
- customCSS: raw CSS injected as a scoped <style> tag on theme apply
(32 KiB cap, cleaned up on theme switch)
- componentStyles: per-component CSS-var overrides (clipPath,
borderImage, background, boxShadow, ...) for card/header/sidebar/
backdrop/tab/progress/badge/footer/page
Plugin manifests gain three new fields:
- tab.override: replaces a built-in route instead of adding a tab
- tab.hidden: register component + slots without adding a nav entry
- slots: declares shell slots the plugin populates
10 named shell slots: backdrop, header-left/right/banner, sidebar,
pre-main, post-main, footer-left/right, overlay. Plugins register via
window.__HERMES_PLUGINS__.registerSlot(name, slot, Component). A
<PluginSlot> React helper is exported on the plugin SDK.
Ships a full demo at plugins/strike-freedom-cockpit/ — theme YAML +
slot-only plugin that reproduces a Gundam cockpit dashboard: MS-STATUS
sidebar with live telemetry, COMPASS crest in header, notched card
corners via componentStyles, scanline overlay via customCSS, gold/cyan
palette, Orbitron typography.
Validation:
- 15 new tests in test_web_server.py covering every extended field
- tests/hermes_cli/: 2615 passed (3 pre-existing unrelated failures)
- tsc -b --noEmit: clean
- vite build: 418 kB bundle, ~2 kB delta for slots/theme extensions
Co-authored-by: Teknium <p@nousresearch.com>
Dashboard themes now control typography and layout, not just colors.
Each built-in theme picks its own fonts, base size, radius, and density
so switching produces visible changes beyond hue.
Schema additions (per theme):
- typography — fontSans, fontMono, fontDisplay, fontUrl, baseSize,
lineHeight, letterSpacing. fontUrl is injected as <link> on switch
so Google/Bunny/self-hosted stylesheets all work.
- layout — radius (any CSS length) and density
(compact | comfortable | spacious, multiplies Tailwind spacing).
- colorOverrides (optional) — pin individual shadcn tokens that would
otherwise derive from the palette.
Built-in themes are now distinct beyond palette:
- default — system stack, 15px, 0.5rem radius, comfortable
- midnight — Inter + JetBrains Mono, 14px, 0.75rem, comfortable
- ember — Spectral (serif) + IBM Plex Mono, 15px, 0.25rem
- mono — IBM Plex Sans + Mono, 13px, 0 radius, compact
- cyberpunk— Share Tech Mono everywhere, 14px, 0 radius, compact
- rose — Fraunces (serif) + DM Mono, 16px, 1rem, spacious
Also fixes two bugs:
1. Custom user themes silently fell back to default. ThemeProvider
only applied BUILTIN_THEMES[name], so YAML files in
~/.hermes/dashboard-themes/ showed in the picker but did nothing.
Server now ships the full normalised definition; client applies it.
2. Docs documented a 21-token flat colors schema that never matched
the code (applyPalette reads a 3-layer palette). Rewrote the
Themes section against the actual shape.
Implementation:
- web/src/themes/types.ts: extend DashboardTheme with typography,
layout, colorOverrides; ThemeListEntry carries optional definition.
- web/src/themes/presets.ts: 6 built-ins with distinct typography+layout.
- web/src/themes/context.tsx: applyTheme() writes palette+typography+
layout+overrides as CSS vars, injects fontUrl stylesheet, fixes the
fallback-to-default bug via resolveTheme(name).
- web/src/index.css: html/body/code read the new theme-font vars;
--radius-sm/md/lg/xl derive from --theme-radius; --spacing scales
with --theme-spacing-mul so Tailwind utilities shift with density.
- hermes_cli/web_server.py: _normalise_theme_definition() parses loose
YAML (bare hex strings, partial blocks) into the canonical wire
shape; /api/dashboard/themes ships full definitions for user themes.
- tests/hermes_cli/test_web_server.py: 16 new tests covering the
normaliser and discovery (rejection cases, clamping, defaults).
- website/docs/user-guide/features/web-dashboard.md: rewrite Themes
section with real schema, per-model tables, full YAML example.
The documentation claimed fallback activates 'at most once per session',
but the actual implementation restores the primary model at the start of
every run_conversation() call via _restore_primary_runtime().
Relevant source: run_agent.py lines 1666-1694 (snapshot), 6454-6517
(restore), 8681-8684 (called each turn).
Updated the One-Shot info box and the summary table to accurately
describe the per-turn restoration behavior.
- Add configurable retain_tags / retain_source / retain_user_prefix /
retain_assistant_prefix knobs for native Hindsight.
- Thread gateway session identity (user_name, chat_id, chat_name,
chat_type, thread_id) through AIAgent and MemoryManager into
MemoryProvider.initialize kwargs so providers can scope and tag
retained memories.
- Hindsight attaches the new identity fields as retain metadata,
merges per-call tool tags with configured default tags, and uses
the configurable transcript labels for auto-retained turns.
Co-authored-by: Abner <abner.the.foreman@agentmail.to>
Fills the three gaps left by the orchestrator/width-depth salvage:
- configuration.md §Delegation: max_concurrent_children, max_spawn_depth,
orchestrator_enabled are now in the canonical config.yaml reference
with a paragraph covering defaults, clamping, role-degradation, and
the 3x3x3=27-leaf cost scaling.
- environment-variables.md: adds DELEGATION_MAX_CONCURRENT_CHILDREN to
the Agent Behavior table.
- features/delegation.md: corrects stale 'default 5, cap 8' wording
(that was from the original PR; the salvage landed on default 3 with
no ceiling and a tool error on excess instead of truncation).
The 'subagents know nothing' warning and the 'no conversation history'
constraint both said the user provides the goal/context fields. In
practice the LLM parent agent calls delegate_task; the user configures
the feature but doesn't write delegation calls. Rewording to point at
the parent agent matches how the tool actually works.
Adds role='leaf'|'orchestrator' to delegate_task. With max_spawn_depth>=2,
an orchestrator child retains the 'delegation' toolset and can spawn its
own workers; leaf children cannot delegate further (identical to today).
Default posture is flat — max_spawn_depth=1 means a depth-0 parent's
children land at the depth-1 floor and orchestrator role silently
degrades to leaf. Users opt into nested delegation by raising
max_spawn_depth to 2 or 3 in config.yaml.
Also threads acp_command/acp_args through the main agent loop's delegate
dispatch (previously silently dropped in the schema) via a new
_dispatch_delegate_task helper, and adds a DelegateEvent enum with
legacy-string back-compat for gateway/ACP/CLI progress consumers.
Config (hermes_cli/config.py defaults):
delegation.max_concurrent_children: 3 # floor-only, no upper cap
delegation.max_spawn_depth: 1 # 1=flat (default), 2-3 unlock nested
delegation.orchestrator_enabled: true # global kill switch
Salvaged from @pefontana's PR #11215. Overrides vs. the original PR:
concurrency stays at 3 (PR bumped to 5 + cap 8 — we keep the floor only,
no hard ceiling); max_spawn_depth defaults to 1 (PR defaulted to 2 which
silently enabled one level of orchestration for every user).
Co-authored-by: pefontana <fontana.pedro93@gmail.com>
Matches the default-config removal in the preceding commit.
default_toolsets was documented for users to set but was never actually
read at runtime, so showing it in the example config and the delegation
user guide was misleading.
No deprecation note is added: the key was always a no-op, so users who
copied it from the example continue to see no behavior change. Their
config.yaml still parses; the key is just silently unused, same as
before.
Part of Initiative 2 / M0.5.
Adds OpenAI's new GPT Image 2 model via FAL.ai, selectable through
`hermes tools` → Image Generation. SOTA text rendering (including CJK)
and world-aware photorealism.
- FAL_MODELS entry with image_size_preset style
- 4:3 presets on all aspect ratios — 16:9 (1024x576) falls below
GPT-Image-2's 655,360 min-pixel floor and would be rejected
- quality pinned to medium (same rule as gpt-image-1.5) for
predictable Nous Portal billing
- BYOK (openai_api_key) deliberately omitted from supports so all
users stay on shared FAL billing
- 6 new tests covering preset mapping, quality pinning, and
supports-whitelist integrity
- Docs table + aspect-ratio map updated
Live-tested end-to-end: 39.9s cold request, clean 1024x768 PNG
Builds on @AxDSan's PR #2109 to finish the KittenTTS wiring so the
provider behaves like every other TTS backend end to end.
- tools/tts_tool.py: `_check_kittentts_available()` helper and wire
into `check_tts_requirements()`; extend Opus-conversion list to
include kittentts (WAV → Opus for Telegram voice bubbles); point the
missing-package error at `hermes setup tts`.
- hermes_cli/tools_config.py: add KittenTTS entry to the "Text-to-Speech"
toolset picker, with a `kittentts` post_setup hook that auto-installs
the wheel + soundfile via pip.
- hermes_cli/setup.py: `_install_kittentts_deps()`, new choice + install
flow in `_setup_tts_provider()`, provider_labels entry, and status row
in the `hermes setup` summary.
- website/docs/user-guide/features/tts.md: add KittenTTS to the provider
table, config example, ffmpeg note, and the zero-config voice-bubble tip.
- tests/tools/test_tts_kittentts.py: 10 unit tests covering generation,
model caching, config passthrough, ffmpeg conversion, availability
detection, and the missing-package dispatcher branch.
E2E verified against the real `kittentts` wheel:
- WAV direct output (pcm_s16le, 24kHz mono)
- MP3 conversion via ffmpeg (from WAV)
- Telegram flow (provider in Opus-conversion list) produces
`codec_name=opus`, 48kHz mono, `voice_compatible=True`, and the
`[[audio_as_voice]]` marker
- check_tts_requirements() returns True when kittentts is installed
Users can declare shell scripts in config.yaml under a hooks: block that
fire on plugin-hook events (pre_tool_call, post_tool_call, pre_llm_call,
subagent_stop, etc). Scripts receive JSON on stdin, can return JSON on
stdout to block tool calls or inject context pre-LLM.
Key design:
- Registers closures on existing PluginManager._hooks dict — zero changes
to invoke_hook() call sites
- subprocess.run(shell=False) via shlex.split — no shell injection
- First-use consent per (event, command) pair, persisted to allowlist JSON
- Bypass via --accept-hooks, HERMES_ACCEPT_HOOKS=1, or hooks_auto_accept
- hermes hooks list/test/revoke/doctor CLI subcommands
- Adds subagent_stop hook event fired after delegate_task children exit
- Claude Code compatible response shapes accepted
Cherry-picked from PR #13143 by @pefontana.
Plugins now require explicit consent to load. Discovery still finds every
plugin — user-installed, bundled, and pip — so they all show up in
`hermes plugins` and `/plugins`, but the loader only instantiates
plugins whose name appears in `plugins.enabled` in config.yaml. This
removes the previous ambient-execution risk where a newly-installed or
bundled plugin could register hooks, tools, and commands on first run
without the user opting in.
The three-state model is now explicit:
enabled — in plugins.enabled, loads on next session
disabled — in plugins.disabled, never loads (wins over enabled)
not enabled — discovered but never opted in (default for new installs)
`hermes plugins install <repo>` prompts "Enable 'name' now? [y/N]"
(defaults to no). New `--enable` / `--no-enable` flags skip the prompt
for scripted installs. `hermes plugins enable/disable` manage both lists
so a disabled plugin stays explicitly off even if something later adds
it to enabled.
Config migration (schema v20 → v21): existing user plugins already
installed under ~/.hermes/plugins/ (minus anything in plugins.disabled)
are auto-grandfathered into plugins.enabled so upgrades don't silently
break working setups. Bundled plugins are NOT grandfathered — even
existing users have to opt in explicitly.
Also: HERMES_DISABLE_BUNDLED_PLUGINS env var removed (redundant with
opt-in default), cmd_list now shows bundled + user plugins together with
their three-state status, interactive UI tags bundled entries
[bundled], docs updated across plugins.md and built-in-plugins.md.
Validation: 442 plugin/config tests pass. E2E: fresh install discovers
disk-cleanup but does not load it; `hermes plugins enable disk-cleanup`
activates hooks; migration grandfathers existing user plugins correctly
while leaving bundled plugins off.
The original name was cute but non-obvious; disk-cleanup says what it
does. Plugin directory, script, state path, log lines, slash command,
and test module all renamed. No user-visible state exists yet, so no
migration path is needed.
New website page "Built-in Plugins" documents the <repo>/plugins/<name>/
source, how discovery interacts with user/project plugins, the
HERMES_DISABLE_BUNDLED_PLUGINS escape hatch, disk-cleanup's hook
behaviour and deletion rules, and guidance on when a plugin belongs
bundled vs. user-installable. Added to the Features → Core sidebar next
to the main Plugins page, with a cross-reference from plugins.md.
OpenAI-compatible clients (Open WebUI, LobeChat, etc.) can now send vision
requests to the API server. Both endpoints accept the canonical OpenAI
multimodal shape:
Chat Completions: {type: text|image_url, image_url: {url, detail?}}
Responses: {type: input_text|input_image, image_url: <str>, detail?}
The server validates and converts both into a single internal shape that the
existing agent pipeline already handles (Anthropic adapter converts,
OpenAI-wire providers pass through). Remote http(s) URLs and data:image/*
URLs are supported.
Uploaded files (file, input_file, file_id) and non-image data: URLs are
rejected with 400 unsupported_content_type.
Changes:
- gateway/platforms/api_server.py
- _normalize_multimodal_content(): validates + normalizes both Chat and
Responses content shapes. Returns a plain string for text-only content
(preserves prompt-cache behavior on existing callers) or a canonical
[{type:text|image_url,...}] list when images are present.
- _content_has_visible_payload(): replaces the bare truthy check so a
user turn with only an image no longer rejects as 'No user message'.
- _handle_chat_completions and _handle_responses both call the new helper
for user/assistant content; system messages continue to flatten to text.
- Codex conversation_history, input[], and inline history paths all share
the same validator. No duplicated normalizers.
- run_agent.py
- _summarize_user_message_for_log(): produces a short string summary
('[1 image] describe this') from list content for logging, spinner
previews, and trajectory writes. Fixes AttributeError when list
user_message hit user_message[:80] + '...' / .replace().
- _chat_content_to_responses_parts(): module-level helper that converts
chat-style multimodal content to Responses 'input_text'/'input_image'
parts. Used in _chat_messages_to_responses_input for Codex routing.
- _preflight_codex_input_items() now validates and passes through list
content parts for user/assistant messages instead of stringifying.
- tests/gateway/test_api_server_multimodal.py (new, 38 tests)
- Unit coverage for _normalize_multimodal_content, including both part
formats, data URL gating, and all reject paths.
- Real aiohttp HTTP integration on /v1/chat/completions and /v1/responses
verifying multimodal payloads reach _run_agent intact.
- 400 coverage for file / input_file / non-image data URL.
- tests/run_agent/test_run_agent_multimodal_prologue.py (new)
- Regression coverage for the prologue no-crash contract.
- _chat_content_to_responses_parts round-trip coverage.
- website/docs/user-guide/features/api-server.md
- Inline image examples for both endpoints.
- Updated Limitations: files still unsupported, images now supported.
Validated live against openrouter/anthropic/claude-opus-4.6:
POST /v1/chat/completions → 200, vision-accurate description
POST /v1/responses → 200, same image, clean output_text
POST /v1/chat/completions [file] → 400 unsupported_content_type
POST /v1/responses [input_file] → 400 unsupported_content_type
POST /v1/responses [non-image data URL] → 400 unsupported_content_type
Closes#5621, #8253, #4046, #6632.
Co-authored-by: Paul Bergeron <paul@gamma.app>
Co-authored-by: zhangxicen <zhangxicen@example.com>
Co-authored-by: Manuel Schipper <manuelschipper@users.noreply.github.com>
Co-authored-by: pradeep7127 <pradeep7127@users.noreply.github.com>
find-nearby and the (new) maps optional skill both used OpenStreetMap's
Overpass + Nominatim to answer the same question — 'what's near this
location?' — so shipping both would be duplicate code for overlapping
capability. Consolidate into one active-by-default skill at
skills/productivity/maps/ that is a strict superset of find-nearby.
Moves + deletions:
- optional-skills/productivity/maps/ → skills/productivity/maps/ (active,
no install step needed)
- skills/leisure/find-nearby/ → DELETED (fully superseded)
Upgrades to maps_client.py so it covers everything find-nearby did:
- Overpass server failover — tries overpass-api.de then
overpass.kumi.systems so a single-mirror outage doesn't break the skill
(new overpass_query helper, used by both nearby and bbox)
- nearby now accepts --near "<address>" as a shortcut that auto-geocodes,
so one command replaces the old 'search → copy coords → nearby' chain
- nearby now accepts --category (repeatable) for multi-type queries in
one call (e.g. --category restaurant --category bar), results merged
and deduped by (osm_type, osm_id), sorted by distance, capped at --limit
- Each nearby result now includes maps_url (clickable Google Maps search
link) and directions_url (Google Maps directions from the search point
— only when a ref point is known)
- Promoted commonly-useful OSM tags to top-level fields on each result:
cuisine, hours (opening_hours), phone, website — instead of forcing
callers to dig into the raw tags dict
SKILL.md:
- Version bumped 1.1.0 → 1.2.0, description rewritten to lead with
capability surface
- New 'Working With Telegram Location Pins' section replacing
find-nearby's equivalent workflow
- metadata.hermes.supersedes: [find-nearby] so tooling can flag any
lingering references to the old skill
External references updated:
- optional-skills/productivity/telephony/SKILL.md — related_skills
find-nearby → maps
- website/docs/reference/skills-catalog.md — removed the (now-empty)
'leisure' section, added 'maps' row under productivity
- website/docs/user-guide/features/cron.md — find-nearby example
usages swapped to maps
- tests/tools/test_cronjob_tools.py, tests/hermes_cli/test_cron.py,
tests/cron/test_scheduler.py — fixture string values swapped
- cli.py:5290 — /cron help-hint example swapped
Not touched:
- RELEASE_v0.2.0.md — historical record, left intact
E2E-verified live (Nominatim + Overpass, one query each):
- nearby --near "Times Square" --category restaurant --category bar → 3 results,
sorted by distance, all with maps_url, directions_url, cuisine, phone, website
where OSM had the tags
All 111 targeted tests pass across tests/cron/, tests/tools/, tests/hermes_cli/.
Agents can now send arbitrary CDP commands to the browser. The tool is
gated on a reachable CDP endpoint at session start — it only appears in
the toolset when BROWSER_CDP_URL is set (from '/browser connect') or
'browser.cdp_url' is configured in config.yaml. Backends that don't
currently expose CDP to the Python side (Camofox, default local
agent-browser, cloud providers whose per-session cdp_url is not yet
surfaced) do not see the tool at all.
Tool schema description links to the CDP method reference at
https://chromedevtools.github.io/devtools-protocol/ so the agent can
web_extract specific method docs on demand.
Stateless per call. Browser-level methods (Target.*, Browser.*,
Storage.*) omit target_id. Page-level methods attach to the target
with flatten=true and dispatch the method on the returned sessionId.
Clean errors when the endpoint becomes unreachable mid-session or
the URL isn't a WebSocket.
Tests: 19 unit (mock CDP server + gate checks) + E2E against real
headless Chrome (Target.getTargets, Browser.getVersion,
Runtime.evaluate with target_id, Page.navigate + re-eval, bogus
method, bogus target_id, missing endpoint) + E2E of the check_fn
gate (tool hidden without CDP URL, visible with it, hidden again
after unset).
Setup wizard now always writes dialecticCadence=2 on new configs and
surfaces the reasoning level as an explicit step with all five options
(minimal / low / medium / high / max), always writing
dialecticReasoningLevel.
Code keeps a backwards-compat fallback of 1 when dialecticCadence is
unset so existing honcho.json configs that predate the setting keep
firing every turn on upgrade. New setups via the wizard get 2
explicitly; docs show 2 as the default.
Also scrubs editorial lines from code and docs ("max is reserved for
explicit tool-path selection", "Unset → every turn; wizard pre-fills 2",
and similar process-exposing phrasing) and adds an inline link to
app.honcho.dev where the server-side observation sync is mentioned in
honcho.md. Recommended cadence range updated to 1-5 across docs and
wizard copy.
- cli: setup wizard pre-fills dialecticCadence=2 (code default stays 1
so unset → every turn)
- honcho.md: fix stale dialecticCadence default in tables, add
Session-Start Prewarm subsection (depth runs at init), add
Query-Adaptive Reasoning Level subsection, expand Observation
section with directional vs unified semantics and per-peer patterns
- memory-providers.md: fix stale default, rename Multi-agent/Profiles
to Multi-peer setup, add concrete walkthrough for new profiles and
sync, document observation toggles + presets, link to honcho.md
- SKILL.md: fix stale defaults, add Depth at session start callout
- Revert website/docs and SKILL.md changes; docs unification handled separately
- Scrub commit/PR refs and process narration from code comments and test
docstrings (no behavior change)
Several correctness and cost-safety fixes to the Honcho dialectic path
after a multi-turn investigation surfaced a chain of silent failures:
- dialecticCadence default flipped 3 → 1. PR #10619 changed this from 1 to
3 for cost, but existing installs with no explicit config silently went
from per-turn dialectic to every-3-turns on upgrade. Restores pre-#10619
behavior; 3+ remains available for cost-conscious setups. Docs + wizard
+ status output updated to match.
- Session-start prewarm now consumed. Previously fired a .chat() on init
whose result landed in HonchoSessionManager._dialectic_cache and was
never read — pop_dialectic_result had zero call sites. Turn 1 paid for
a duplicate synchronous dialectic. Prewarm now writes directly to the
plugin's _prefetch_result via _prefetch_lock so turn 1 consumes it with
no extra call.
- Prewarm is now dialecticDepth-aware. A single-pass prewarm can return
weak output on cold peers; the multi-pass audit/reconcile cycle is
exactly the case dialecticDepth was built for. Prewarm now runs the
full configured depth in the background.
- Silent dialectic failure no longer burns the cadence window.
_last_dialectic_turn now advances only when the result is non-empty.
Empty result → next eligible turn retries immediately instead of
waiting the full cadence gap.
- Thread pile-up guard. queue_prefetch skips when a prior dialectic
thread is still in-flight, preventing stacked races on _prefetch_result.
- First-turn sync timeout is recoverable. Previously on timeout the
background thread's result was stored in a dead local list. Now the
thread writes into _prefetch_result under lock so the next turn
picks it up.
- Cadence gate applies uniformly. At cadence=1 the old "cadence > 1"
guard let first-turn sync + same-turn queue_prefetch both fire.
Gate now always applies.
- Restored query-length reasoning-level scaling, dropped in 9a0ab34c.
Scales dialecticReasoningLevel up on longer queries (+1 at ≥120 chars,
+2 at ≥400), clamped at reasoningLevelCap. Two new config keys:
`reasoningHeuristic` (bool, default true) and `reasoningLevelCap`
(string, default "high"; previously parsed but never enforced).
Respects dialecticDepthLevels and proportional lighter-early passes.
- Restored short-prompt skip, dropped in ef7f3156. One-word
acknowledgements ("ok", "y", "thanks") and slash commands bypass
both injection and dialectic fire.
- Purged dead code in session.py: prefetch_dialectic, _dialectic_cache,
set_dialectic_result, pop_dialectic_result — all unused after prewarm
refactor.
Tests: 542 passed across honcho_plugin/, agent/test_memory_provider.py,
and run_agent/test_run_agent.py. New coverage:
- TestTrivialPromptHeuristic (classifier + prefetch/queue skip)
- TestDialecticCadenceAdvancesOnSuccess (empty-result retry, pile-up guard)
- TestSessionStartDialecticPrewarm (prewarm consumed, sync fallback)
- TestReasoningHeuristic (length bumps, cap clamp, interaction with depth)
- TestDialecticLifecycleSmoke (end-to-end 8-turn session walk)
- Note that /browser connect is CLI-only and won't work in gateways (WebUI, Telegram, Discord).
- Update the Chrome launch command to use a dedicated --user-data-dir, so port 9222 actually comes up even when Chrome is already running with the user's regular profile.
- Add --no-first-run --no-default-browser-check to skip the fresh-profile wizard.
- Explain why the dedicated user-data-dir matters.
Community tip via Karamjit Singh.
Co-authored-by: teknium1 <teknium@noreply.github.com>
Follow-up to PR #11971. Documents the new code_execution.mode config
key and what each mode actually does.
- user-guide/configuration.md: add mode: project to the yaml example,
explain project vs strict and call out that security invariants are
identical across modes.
- user-guide/features/code-execution.md: new 'Execution Mode' section
with a comparison table and usage guidance; update the 'temporary
directory' note so it reflects that script.py runs in the session
CWD in project mode (staging dir stays on PYTHONPATH for imports);
drop stale 'sandboxed' framing from the intro and skill-passthrough
paragraph.
- getting-started/learning-path.md: update the one-line Code Execution
summary to match (no longer 'sandboxed environments' — the default
runs in the session's real working directory).
No code changes.
Comprehensive audit of every reference/messaging/feature doc page against the
live code registries (PROVIDER_REGISTRY, OPTIONAL_ENV_VARS, COMMAND_REGISTRY,
TOOLSETS, tool registry, on-disk skills). Every fix was verified against code
before writing.
### Wrong values fixed (users would paste-and-fail)
- reference/environment-variables.md:
- DASHSCOPE_BASE_URL default was `coding-intl.dashscope.aliyuncs.com/v1` \u2192
actual `dashscope-intl.aliyuncs.com/compatible-mode/v1`.
- MINIMAX_BASE_URL and MINIMAX_CN_BASE_URL defaults were `/v1` \u2192 actual
`/anthropic` (Hermes calls MiniMax via its Anthropic Messages endpoint).
- reference/toolsets-reference.md MCP example used the non-existent nested
`mcp: servers:` key \u2192 real key is the flat `mcp_servers:`.
- reference/skills-catalog.md listed ~20 bundled skills that no longer exist
on disk (all moved to `optional-skills/`). Regenerated the whole bundled
section from `skills/**/SKILL.md` \u2014 79 skills, accurate paths and names.
- messaging/slack.md ":::info" callout claimed Slack has no
`free_response_channels` equivalent; both the env var and the yaml key are
in fact read.
- messaging/qqbot.md documented `QQ_MARKDOWN_SUPPORT` as an env var, but the
adapter only reads `extra.markdown_support` from config.yaml. Removed the
env var row and noted config-only nature.
- messaging/qqbot.md `hermes setup gateway` \u2192 `hermes gateway setup`.
### Missing coverage added
- Providers: AWS Bedrock and Qwen Portal (qwen-oauth) \u2014 both in
PROVIDER_REGISTRY but undocumented everywhere. Added sections to
integrations/providers.md, rows to quickstart.md and fallback-providers.md.
- integrations/providers.md "Fallback Model" provider list now includes
gemini, google-gemini-cli, qwen-oauth, xai, nvidia, ollama-cloud, bedrock.
- reference/cli-commands.md `--provider` enum and HERMES_INFERENCE_PROVIDER
enum in env-vars now include the same set.
- reference/slash-commands.md: added `/agents` (alias `/tasks`) and `/copy`.
Removed duplicate rows for `/snapshot`, `/fast` (\u00d72), `/debug`.
- reference/tools-reference.md: fixed "47 built-in tools" \u2192 52. Added
`feishu_doc` and `feishu_drive` toolset sections.
- reference/toolsets-reference.md: added `feishu_doc` / `feishu_drive` core
rows + all missing `hermes-<platform>` toolsets in the platform table
(bluebubbles, dingtalk, feishu, qqbot, wecom, wecom-callback, weixin,
homeassistant, webhook, gateway). Fixed the `debugging` composite to
describe the actual `includes=[...]` mechanism.
- reference/optional-skills-catalog.md: added `fitness-nutrition`.
- reference/environment-variables.md: added NOUS_BASE_URL,
NOUS_INFERENCE_BASE_URL, NVIDIA_API_KEY/BASE_URL, OLLAMA_API_KEY/BASE_URL,
XAI_API_KEY/BASE_URL, MISTRAL_API_KEY, AWS_REGION/AWS_PROFILE,
BEDROCK_BASE_URL, HERMES_QWEN_BASE_URL, DISCORD_ALLOWED_CHANNELS,
DISCORD_PROXY, TELEGRAM_REPLY_TO_MODE, MATRIX_DEVICE_ID, MATRIX_REACTIONS,
QQBOT_HOME_CHANNEL_NAME, QQ_SANDBOX.
- messaging/discord.md: documented DISCORD_ALLOWED_CHANNELS, DISCORD_PROXY,
HERMES_DISCORD_TEXT_BATCH_DELAY_SECONDS and HERMES_DISCORD_TEXT_BATCH_SPLIT
_DELAY_SECONDS (all actively read by the adapter).
- messaging/matrix.md: documented MATRIX_REACTIONS (default true).
- messaging/telegram.md: removed the redundant second Webhook Mode section
that invented a `telegram.webhook_mode: true` yaml key the adapter does
not read.
- user-guide/features/hooks.md: added `on_session_finalize` and
`on_session_reset` (both emitted via invoke_hook but undocumented).
- user-guide/features/api-server.md: documented GET /health/detailed, the
`/api/jobs/*` CRUD surface, POST /v1/runs, and GET /v1/runs/{id}/events
(10 routes that were live but undocumented).
- user-guide/features/fallback-providers.md: added `approval` and
`title_generation` auxiliary-task rows; added gemini, bedrock, qwen-oauth
to the supported-providers table.
- user-guide/features/tts.md: "seven providers" \u2192 "eight" (post-xAI add
oversight in #11942).
- user-guide/configuration.md: TTS provider enum gains `xai` and `gemini`;
yaml example block gains `mistral:`, `gemini:`, `xai:` subsections.
Auxiliary-provider enum now enumerates all real registry entries.
- reference/faq.md: stale AIAgent/config examples bumped from
`nous/hermes-3-llama-3.1-70b` and `claude-sonnet-4.6` to
`claude-opus-4.7`.
### Docs-site integrity
- guides/build-a-hermes-plugin.md referenced two nonexistent hooks
(`pre_api_request`, `post_api_request`). Replaced with the real
`on_session_finalize` / `on_session_reset` entries.
- messaging/open-webui.md and features/api-server.md had pre-existing
broken links to `/docs/user-guide/features/profiles` (actual path is
`/docs/user-guide/profiles`). Fixed.
- reference/skills-catalog.md had one `<1%` literal that MDX parsed as a
JSX tag. Escaped to `<1%`.
### False positives filtered out (not changed, verified correct)
- `/set-home` is a registered alias of `/sethome` \u2014 docs were fine.
- `hermes setup gateway` is valid syntax (`hermes setup \<section\>`);
changed in qqbot.md for cross-doc consistency, not as a bug fix.
- Telegram reactions "disabled by default" matches code (default `"false"`).
- Matrix encryption "opt-in" matches code (empty env default \u2192 disabled).
- `pre_api_request` / `post_api_request` hooks do NOT exist in current code;
documented instead the real `on_session_finalize` / `on_session_reset`.
- SIGNAL_IGNORE_STORIES is already in env-vars.md (subagent missed it).
Validation:
- `docusaurus build` \u2014 passes (only pre-existing nix-setup anchor warning).
- `ascii-guard lint docs` \u2014 124 files, 0 errors.
- 22 files changed, +317 / \u2212158.
The existing 'Persistent browser sessions' section had the correct config
snippet but users still hit the flag at the wrong config path, assumed
Hermes could force persistence when the server was ephemeral, and had no
way to verify the flag was actually taking effect.
Adds to that section:
- Warning admonition calling out the nested path vs top-level mistake.
- Explicit 'What Hermes does / does not do' split so users understand
Hermes can only send a stable userId; the Camofox server must map it
to a persistent profile.
- 5-step verification flow for confirming persistence works end-to-end.
- Reminder to restart Hermes after editing config.yaml.
- Where Hermes derives the stable userId (~/.hermes/browser_auth/camofox/)
so users can reset or back up state.
Docs-only change.
Adds NVIDIA NIM as a first-class provider: ProviderConfig in
auth.py, HermesOverlay in providers.py, curated models
(Nemotron plus other open source models hosted on
build.nvidia.com), URL mapping in model_metadata.py, aliases
(nim, nvidia-nim, build-nvidia, nemotron), and env var tests.
Docs updated: providers page, quickstart table, fallback
providers table, and README provider list.
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.
Adds an escape hatch for this case.
hermes skills reset <name>
Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
re-baselines against the user's current copy. Future 'hermes update'
runs accept upstream changes again. Non-destructive.
hermes skills reset <name> --restore
Also deletes the user's copy and re-copies the bundled version.
Use when you want the pristine upstream skill back.
Also available as /skills reset in chat.
- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
repro, --restore, unknown-skill error, upstream-removed-skill, and
no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
section explaining the origin-hash mechanic + reset usage
* feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro
Upstream asked for these two upgrades ASAP — the old entries show
stale models when newer, higher-quality versions are available on FAL.
Recraft V3 → Recraft V4 Pro
ID: fal-ai/recraft-v3 → fal-ai/recraft/v4/pro/text-to-image
Price: $0.04/image → $0.25/image (6x — V4 Pro is premium tier)
Schema: V4 dropped the required `style` enum entirely; defaults
handle taste now. Added `colors` and `background_color`
to supports for brand-palette control. `seed` is not
supported by V4 per the API docs.
Nano Banana → Nano Banana Pro
ID: fal-ai/nano-banana → fal-ai/nano-banana-pro
Price: $0.08/image → $0.15/image (1K); $0.30 at 4K
Schema: Aspect ratio family unchanged. Added `resolution`
(1K/2K/4K, default 1K for billing predictability),
`enable_web_search` (real-time info grounding, +$0.015),
and `limit_generations` (force exactly 1 image).
Architecture: Gemini 2.5 Flash → Gemini 3 Pro Image. Quality
and reasoning depth improved; slower (~6s → ~8s).
Migration: users who had the old IDs in `image_gen.model` will
fall through the existing 'unknown model → default' warning path
in `_resolve_fal_model()` and get the Klein 9B default on the next
run. Re-run `hermes tools` → Image Generation to pick the new
version. No silent cost-upgrade aliasing — the 2-6x price jump
on these tiers warrants explicit user re-selection.
Portal note: both new model IDs need to be allowlisted on the
Nous fal-queue-gateway alongside the previous 7 additions, or
users on Nous Subscription will see the 'managed gateway rejected
model' error we added previously (which is clear and
self-remediating, just noisy).
* docs: wrap '<1s' in backticks to unblock MDX compilation
Docusaurus's MDX parser treats unquoted '<' as the start of JSX, and
'<1s' fails because '1' isn't a valid tag-name start character. This
was broken on main since PR #11265 (never noticed because
docs-site-checks was failing on OTHER issues at the time and we
admin-merged through it).
Wrapping in backticks also gives the cell monospace styling which
reads more cleanly alongside the inline-code model ID in the same row.
The other '<1s' occurrence (line 52) is inside a fenced code block
and is already safe — code fences bypass MDX parsing.
* feat(image_gen): multi-model FAL support with picker in hermes tools
Adds 8 FAL text-to-image models selectable via `hermes tools` →
Image Generation → (FAL.ai | Nous Subscription) → model picker.
Models supported:
- fal-ai/flux-2/klein/9b (new default, <1s, $0.006/MP)
- fal-ai/flux-2-pro (previous default, kept backward-compat upscaling)
- fal-ai/z-image/turbo (Tongyi-MAI, bilingual EN/CN)
- fal-ai/nano-banana (Gemini 2.5 Flash Image)
- fal-ai/gpt-image-1.5 (with quality tier: low/medium/high)
- fal-ai/ideogram/v3 (best typography)
- fal-ai/recraft-v3 (vector, brand styles)
- fal-ai/qwen-image (LLM-based)
Architecture:
- FAL_MODELS catalog declares per-model size family, defaults, supports
whitelist, and upscale flag. Three size families handled uniformly:
image_size_preset (flux family), aspect_ratio (nano-banana), and
gpt_literal (gpt-image-1.5).
- _build_fal_payload() translates unified inputs (prompt + aspect_ratio)
into model-specific payloads, merges defaults, applies caller overrides,
wires GPT quality_setting, then filters to the supports whitelist — so
models never receive rejected keys.
- IMAGEGEN_BACKENDS registry in tools_config prepares for future imagegen
providers (Replicate, Stability, etc.); each provider entry tags itself
with imagegen_backend: 'fal' to select the right catalog.
- Upscaler (Clarity) defaults off for new models (preserves <1s value
prop), on for flux-2-pro (backward-compat). Per-model via FAL_MODELS.
Config:
image_gen.model = fal-ai/flux-2/klein/9b (new)
image_gen.quality_setting = medium (new, GPT only)
image_gen.use_gateway = bool (existing)
Agent-facing schema unchanged (prompt + aspect_ratio only) — model
choice is a user-level config decision, not an agent-level arg.
Picker uses curses_radiolist (arrow keys, auto numbered-fallback on
non-TTY). Column-aligned: Model / Speed / Strengths / Price.
Docs: image-generation.md rewritten with the model table and picker
walkthrough. tools-reference, tool-gateway, overview updated to drop
the stale "FLUX 2 Pro" wording.
Tests: 42 new in tests/tools/test_image_generation.py covering catalog
integrity, all 3 size families, supports filter, default merging, GPT
quality wiring, model resolution fallback. 8 new in
tests/hermes_cli/test_tools_config.py for picker wiring (registry,
config writes, GPT quality follow-up prompt, corrupt-config repair).
* feat(image_gen): translate managed-gateway 4xx to actionable error
When the Nous Subscription managed FAL proxy rejects a model with 4xx
(likely portal-side allowlist miss or billing gate), surface a clear
message explaining:
1. The rejected model ID + HTTP status
2. Two remediation paths: set FAL_KEY for direct access, or
pick a different model via `hermes tools`
5xx, connection errors, and direct-FAL errors pass through unchanged
(those have different root causes and reasonable native messages).
Motivation: new FAL models added to this release (flux-2-klein-9b,
z-image-turbo, nano-banana, gpt-image-1.5, ideogram-v3, recraft-v3,
qwen-image) are untested against the Nous Portal proxy. If the portal
allowlists model IDs, users on Nous Subscription will hit cryptic
4xx errors without guidance on how to work around it.
Tests: 8 new cases covering status extraction across httpx/fal error
shapes and 4xx-vs-5xx-vs-ConnectionError translation policy.
Docs: brief note in image-generation.md for Nous subscribers.
Operator action (Nous Portal side): verify that fal-queue-gateway
passes through these 7 new FAL model IDs. If the proxy has an
allowlist, add them; otherwise Nous Subscription users will see the
new translated error and fall back to direct FAL.
* feat(image_gen): pin GPT-Image quality to medium (no user choice)
Previously the tools picker asked a follow-up question for GPT-Image
quality tier (low / medium / high) and persisted the answer to
`image_gen.quality_setting`. This created two problems:
1. Nous Portal billing complexity — the 22x cost spread between tiers
($0.009 low / $0.20 high) forces the gateway to meter per-tier per
user, which the portal team can't easily support at launch.
2. User footgun — anyone picking `high` by mistake burns through
credit ~6x faster than `medium`.
This commit pins quality at medium by baking it into FAL_MODELS
defaults for gpt-image-1.5 and removes all user-facing override paths:
- Removed `_resolve_gpt_quality()` runtime lookup
- Removed `honors_quality_setting` flag on the model entry
- Removed `_configure_gpt_quality_setting()` picker helper
- Removed `_GPT_QUALITY_CHOICES` constant
- Removed the follow-up prompt call in `_configure_imagegen_model()`
- Even if a user manually edits `image_gen.quality_setting` in
config.yaml, no code path reads it — always sends medium.
Tests:
- Replaced TestGptQualitySetting (6 tests) with TestGptQualityPinnedToMedium
(5 tests) — proves medium is baked in, config is ignored, flag is
removed, helper is removed, non-gpt models never get quality.
- Replaced test_picker_with_gpt_image_also_prompts_quality with
test_picker_with_gpt_image_does_not_prompt_quality — proves only 1
picker call fires when gpt-image is selected (no quality follow-up).
Docs updated: image-generation.md replaces the quality-tier table
with a short note explaining the pinning decision.
* docs(image_gen): drop stale 'wires GPT quality tier' line from internals section
Caught in a cleanup sweep after pinning quality to medium. The
"How It Works Internally" walkthrough still described the removed
quality-wiring step.
Adds Google Gemini TTS as the seventh voice provider, with 30 prebuilt
voices (Zephyr, Puck, Kore, Enceladus, Gacrux, etc.) and natural-language
prompt control. Integrates through the existing provider chain:
- tools/tts_tool.py: new _generate_gemini_tts() calls the
generativelanguage REST endpoint with responseModalities=[AUDIO],
wraps the returned 24kHz mono 16-bit PCM (L16) in a WAV RIFF header,
then ffmpeg-converts to MP3 or Opus depending on output extension.
For .ogg output, libopus is forced explicitly so Telegram voice
bubbles get Opus (ffmpeg defaults to Vorbis for .ogg).
- hermes_cli/tools_config.py: exposes 'Google Gemini TTS' as a provider
option in the curses-based 'hermes tools' UI.
- hermes_cli/setup.py: adds gemini to the setup wizard picker, tool
status display, and API key prompt branch (accepts existing
GEMINI_API_KEY or GOOGLE_API_KEY, falls back to Edge if neither set).
- tests/tools/test_tts_gemini.py: 15 unit tests covering WAV header
wrap correctness, env var fallback (GEMINI/GOOGLE), voice/model
overrides, snake_case vs camelCase inlineData handling, HTTP error
surfacing, and empty-audio edge cases.
- docs: TTS features page updated to list seven providers with the new
gemini config block and ffmpeg notes.
Live-tested against api key against gemini-2.5-flash-preview-tts: .wav,
.mp3, and Telegram-compatible .ogg (Opus codec) all produce valid
playable audio.
llm-wiki was the only shipped skill using metadata.hermes.config, which
caused 'hermes update' and 'hermes config migrate' to prompt for a wiki
directory on every run — even for users who have never touched the skill
— because 'enabled' is opt-out (all shipped skills count as enabled unless
explicitly disabled). Declining the prompt didn't persist anything, so
the nag fired again on every update.
Switch llm-wiki to the env var + runtime default pattern that obsidian and
google-workspace already use: WIKI_PATH env var, default $HOME/wiki. No
prompting infrastructure, no config.yaml touch, no nag loop.
Changes:
- skills/research/llm-wiki/SKILL.md: remove metadata.hermes.config,
document WIKI_PATH env var in the Wiki Location section, update the
orientation snippet and initialization guidance.
- Docs: replace llm-wiki's wiki.path examples with a generic 'myplugin.path'
placeholder across configuration.md, features/skills.md, and
creating-skills.md so users don't try to set skills.config.wiki.path
expecting llm-wiki to use it.
- skills-catalog.md: mention WIKI_PATH instead of skills.config.wiki.path.
E2E verified: discover_all_skill_config_vars() and get_missing_skill_config_vars()
both return 0 entries after this change, so the prompt branch in migrate_config()
no longer fires.
The metadata.hermes.config feature stays in place for third-party skills
that genuinely need structured config, but built-ins now prefer env vars.
- New page: user-guide/features/tool-gateway.md covering eligibility,
setup (hermes model, hermes tools, manual config), how use_gateway
works, precedence, switching back, status checking, self-hosted
gateway env vars, and FAQ
- Added to sidebar under Features (top-level, before Core category)
- Cross-references from: overview.md, tools.md, browser.md,
image-generation.md, tts.md, providers.md, environment-variables.md
- Added Nous Tool Gateway subsection to env vars reference with
TOOL_GATEWAY_DOMAIN, TOOL_GATEWAY_SCHEME, TOOL_GATEWAY_USER_TOKEN,
and FIRECRAWL_GATEWAY_URL
Camofox automatically maps each userId to a persistent Firefox profile
on the server side — no CAMOFOX_PROFILE_DIR env var exists. Our docs
incorrectly told users to configure this on the server.
Removed the fabricated env var from:
- browser docs (:::note block)
- config.py DEFAULT_CONFIG comment
- test docstring
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