* remove Vercel AI Gateway provider and Vercel Sandbox terminal backend
Both Vercel-hosted integrations are removed end-to-end. Users on the AI
Gateway should switch to OpenRouter or one of the other aggregators
(Nous Portal, Kilo Code). Users on the Vercel Sandbox backend should
switch to Docker, Modal, Daytona, or SSH.
What's removed:
- `plugins/model-providers/ai-gateway/` provider plugin
- `hermes_cli/vercel_auth.py` Vercel-Sandbox auth helper
- `tools/environments/vercel_sandbox.py` terminal backend
- `ai-gateway` provider wiring across auth, doctor, setup, models,
config, status, providers, main, web_server, model_normalize, dump
- `vercel_sandbox` backend wiring across terminal_tool, file_tools,
code_execution_tool, file_operations, approval, skills_tool,
environments/local, credential_files, lazy_deps, prompt_builder,
cli, gateway/run
- `AI_GATEWAY_BASE_URL` constant, `_AI_GATEWAY_HEADERS` auxiliary-client
header set, run_agent base-URL header/reasoning special-cases
- `[vercel]` pyproject extra and `vercel`/`vercel-workers` from uv.lock
- env vars: `AI_GATEWAY_API_KEY`, `AI_GATEWAY_BASE_URL`, `VERCEL_TOKEN`,
`VERCEL_PROJECT_ID`, `VERCEL_TEAM_ID`, `VERCEL_OIDC_TOKEN`,
`TERMINAL_VERCEL_RUNTIME`
- Tests: deletes test_ai_gateway_models.py and
test_vercel_sandbox_environment.py; scrubs references across 23
surviving test files (no entire tests deleted unless they were
dedicated to AI Gateway / Sandbox)
- Docs: provider tables, env-var reference, setup guides, security
notes, tool config, terminal-backend tables — English plus zh-Hans
i18n parity
- `hermes-agent` skill: provider table entry and remote-backend list
What stays (intentional):
- `popular-web-designs/templates/vercel.md` — CSS design reference,
unrelated to Vercel-the-AI-product
- `x-vercel-id` in `stream_diag.py` headers — generic Vercel CDN
response header, useful diag signal on any Vercel-hosted endpoint
- `vercel-labs/agent-browser` URL in browser config — lightpanda
browser project, different OSS effort
- `userStories.json` historical contributor entry mentioning Vercel
Sandbox — archive, not active docs
Validation:
- 1153 tests in the 22 targeted files pass (`scripts/run_tests.sh`)
- Full repo `py_compile` clean
- Live import of every touched module + invariant check (no
`ai-gateway` in `PROVIDER_REGISTRY`, no `_AI_GATEWAY_HEADERS`, no
`vercel_sandbox` in `_REMOTE_TERMINAL_BACKENDS`)
* test: convert profile-count check from change-detector to invariant
The hardcoded "== 34" assertion broke when ai-gateway was removed.
Per AGENTS.md change-detector-test guidance, assert the relationship
(registry count >= number of plugin dirs) instead of a literal count.
Counts shift when providers are added/removed; that's expected.
'hermes login' was removed (the command now just prints a deprecation
message and exits). The bundled hermes-agent SKILL.md, in-code error
messages, the tip rotation, the proxy adapters, and the docs site
still pointed agents and users at the dead command — so models loading
the skill kept running 'hermes login --provider openai-codex' and
getting a dead-end print.
Replacements use the canonical 'hermes auth add <provider>' surface
(or bare 'hermes auth' for the interactive manager).
Files:
- skills/autonomous-ai-agents/hermes-agent/SKILL.md (+ regenerated docs page)
- hermes_cli/tips.py (tip rotation)
- agent/google_oauth.py (gemini-cli error message)
- agent/conversation_loop.py (nous re-auth troubleshooting line)
- agent/credential_sources.py (docstring)
- hermes_cli/proxy/cli.py + hermes_cli/proxy/adapters/nous_portal.py (proxy auth hints)
- tests/hermes_cli/test_proxy.py (updated assertions)
- website/docs/reference/faq.md, website/docs/user-guide/features/subscription-proxy.md
- zh-Hans i18n mirrors for the above
'hermes logout' is still a live command and is left untouched.
The 'hermes login' stub in hermes_cli/auth.py:login_command() and
the cli-commands.md 'Deprecated' rows are intentionally kept as
the discoverable deprecation surface.
* feat(mcp): Nous-approved MCP catalog with interactive picker
Adds an optional-mcps/ directory mirroring optional-skills/: curated,
Nous-approved MCP servers shipped with the repo but disabled by default.
Presence in optional-mcps/ = approval. No community tier, no trust signals.
Entries are added by merging a PR.
New surface:
hermes mcp Interactive catalog picker (default)
hermes mcp catalog Plain-text list, scriptable
hermes mcp install <name> Install a catalog entry
Picker behavior:
not installed -> install (clone/bootstrap if needed, prompt for creds)
installed/off -> enable
installed/on -> menu (disable / uninstall / reinstall)
Manifest schema (manifest_version: 1) supports:
- transport: stdio (command/args, ${INSTALL_DIR} substitution) or http (url)
- install: optional git clone + bootstrap commands (for repos that need
local venv setup, like the n8n bridge); omit for npx/uvx servers
- auth: api_key (prompts -> ~/.hermes/.env), oauth (provider-mediated
or native MCP), or none
Catalog entries are never auto-updated. Users re-run `hermes mcp install`
to refresh. Credentials always go to ~/.hermes/.env (the .env-is-for-secrets
rule), never to per-server env blocks.
Ships n8n as the reference manifest (https://github.com/CyberSamuraiX/hermes-n8n-mcp).
Tests: 19 catalog tests + E2E install/uninstall round-trip via the shipped
manifest.
* feat(mcp): tool-selection checklist + Linear catalog entry
Adds install-time tool selection so users only enable the MCP tools they
actually want, and ships Linear as a second reference catalog entry to
demonstrate the http+oauth path alongside n8n's stdio+api_key+git-bootstrap.
Tool selection flow:
install (clone/auth/credentials) ->
probe server for available tools ->
curses checklist with pre-checked rows ->
write mcp_servers.<name>.tools.include
Pre-check priority:
1. user's prior tools.include (reinstall preserves selection)
2. manifest's tools.default_enabled (curated subset)
3. all probed tools (default)
Probe-failure fallback (server unreachable, OAuth not yet complete,
backing service offline):
- manifest declared default_enabled -> applied directly
- no default declared -> no filter written (all-on when reachable)
- both cases point user at hermes mcp configure <name>
Manifest schema additions:
tools:
default_enabled: [list, of, tool, names] # optional
Updates:
- optional-mcps/linear/manifest.yaml -- new reference entry (http+oauth)
- optional-mcps/n8n/manifest.yaml -- tools.default_enabled set to the
8 read-mostly tools; mutating tools (activate/deactivate, container_logs)
pruned by default
- docs: new 'Tool selection at install time' section in features/mcp.md
Tests: 7 new tests in TestToolSelection covering probe-success / probe-fail
matrix, manifest-default filtering, reinstall-preserves-selection, and
invalid-default-enabled rejection. 26 catalog tests + 32 existing
mcp_config tests passing.
* feat(mcp): polish — picker unification, include-mode convergence, hardening
Addresses review findings on PR #30870. Lands all improvements that
belong in this PR before merge; defers separate cleanup (consolidating
two probe implementations, change-detector tests) to follow-ups.
Picker UX (mcp_picker.py)
- Unifies catalog + custom (user-added) MCPs in one view with distinct
status badges (available / enabled / installed (disabled) /
custom — enabled / custom — disabled)
- Adds 'Configure tools (probe server + re-pick)' action to both the
catalog-installed and custom-row submenus — the existing
hermes mcp configure flow was previously unreachable from the picker
- Loops until ESC/q so the user can manage several entries in one
session instead of having to re-launch
- Uninstall message now mentions .env credentials are preserved with a
pointer to clean them up manually if no longer needed
- Surfaces a 'requires a newer Hermes' warning per future-manifest
entry instead of silently hiding it
Catalog (mcp_catalog.py)
- catalog_diagnostics() exposes which manifests were skipped and why
(future_manifest vs invalid) so UIs can give actionable feedback
- _do_git_install detects SHA-shaped refs (regex /[0-9a-f]{7,40}/)
and skips the doomed 'git clone --branch <sha>' attempt — clone --branch
only accepts branches/tags, so SHAs always failed noisily before
falling back to the full-clone path
- Probe-success all-tools-enabled message now mentions that new tools
the server adds later will be auto-enabled (no-filter mode)
Convergence (tools_config.py)
- _configure_mcp_tools_interactive now writes tools.include (whitelist)
instead of tools.exclude (blacklist), matching the catalog flow and
hermes mcp configure. The on-disk config shape no longer depends on
which UI the user touched last
- Two existing tests updated to assert the new include-mode contract
Discoverability
- Setup wizard final step now prints 'Browse curated MCPs: hermes mcp'
- Three tip-corpus entries pointing at the new catalog
- Docs updated with: trust model (manifests run code locally, gated by
PR review, but read before installing), runtime ${ENV_VAR} substitution
semantics, and the manifest_version forward-compat behavior
Tests
- 7 new tests covering future-manifest diagnostics, custom MCP picker
rows, SHA-ref git-install path, branch-ref git-install path, and the
tools_config include-mode write contract
- 80 MCP-related tests passing across test_mcp_catalog.py,
test_mcp_config.py, test_mcp_tools_config.py
* fix(mcp): drop setup-wizard catalog hint to satisfy supply-chain scanner
The wizard line 'Browse curated MCPs: hermes mcp' triggered the
CI supply-chain scanner because it pattern-matches on edits to any
file named hermes_cli/setup.py — that filename matches the Python
'install-hook file' heuristic even though this setup.py is the
user-facing 'hermes setup' wizard, not a packaging install hook.
The catalog is already surfaced via three tip-corpus entries in
hermes_cli/tips.py (which the scanner doesn't flag), so dropping the
wizard mention loses no discoverability. Worth revisiting after a
scanner allowlist for this specific file lands.
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.
