Use the current top-level fallback_providers list in fallback docs and keep fallback_model documented only as the legacy compatibility shape. Also align cron and delegation fallback coverage with current runtime behavior.
Closes#19691
Co-authored-by: Codex <codex@openai.com>
The rotation flowchart only described the generic 'retry once, rotate on
second 429' path. ChatGPT/Codex plan-limit 429s carry a usage_limit_reached
reason and rotate to the next pool key immediately (no retry, since the cap
won't clear on retry). Document that case so the docs match the code.
Tool Search read its catalog from the global registry (get_tool_definitions
with no toolset scope = 'start with everything'), so a restricted-toolset
session — subagent, kanban worker, curated gateway session — could:
1. tool_search the entire process registry, not just its granted tools, and
2. tool_call any registered plugin/MCP tool it was never given, because
registry.dispatch() has no enabled_tools gate for non-execute_code tools.
A scoped session (enabled_toolsets=['mcp-github']) reported total_available=26
and successfully invoked an out-of-scope plugin tool via tool_call.
Fix:
- handle_function_call gains enabled_toolsets/disabled_toolsets; the bridge
dispatch scopes get_tool_definitions to them (also stops polluting the
process-global _last_resolved_tool_names with out-of-scope tools, which
leaked into execute_code's sandbox-tool fallback).
- A defense-in-depth gate rejects any tool_call'd name not in the scoped
deferrable catalog.
- tool_executor's unwrap (both concurrent + sequential paths) enforces the
same scope before dispatch, since it unwraps tool_call -> underlying name
and bypasses the bridge branch. New _tool_search_scoped_names() helper,
cached per-agent on registry generation + toolset scope.
- New scoped_deferrable_names() helper in tool_search.py shared by both sites.
Tests: 4 new regression tests in TestRegression_ToolsetScoping (scoped
catalog, out-of-scope tool_call rejection, no global pollution, helper).
Adds Tool Search, a structured-tools progressive-disclosure layer that
replaces MCP and non-core plugin tools in the model-visible tools array
with three bridge tools (tool_search / tool_describe / tool_call) when
the deferrable surface would consume more than a configurable percentage
of the active model's context window. Core Hermes tools are never deferred.
Default mode is 'auto' with a 10% context threshold, so small toolsets
pay no overhead. Set tools.tool_search.enabled to 'on' to force or 'off'
to disable.
Design carefully reflects the OpenClaw production failure modes
documented in the openclaw-tool-search-report:
- Core tools never defer (toolsets._HERMES_CORE_TOOLS). Addresses the
'tools silently missing from isolated cron turns' regression class
(openclaw#84141) by construction: there is no code path that can
drop a core tool.
- Catalog is stateless across turns — rebuilt from the live tool-defs
list on every assembly. No session-keyed Map that can drift out of
sync with the registry.
- tool_call unwraps the bridge call before any hook fires, so plugin
pre/post hooks, guardrails, approval flows, and the activity feed
all see the underlying tool name, not the bridge (addresses
openclaw#85588 and the verbose-mode complaint on openclaw#79823).
- The unwrap happens in both the parallel and sequential paths of
agent/tool_executor.py and also in handle_function_call, so direct
callers (sandboxed code, eval harnesses) are covered too.
- Bridge tools cannot invoke each other (recursion guard) and cannot
invoke core tools (those must be called directly).
- Tools mode only — no JS-sandbox code-mode. Keeps the surface small.
- Token estimation via cheap char/4 heuristic; precision isn't needed
for the threshold decision.
Files:
- tools/tool_search.py — new module (BM25 retrieval, classification,
threshold gate, bridge dispatch, unwrap helper).
- tests/tools/test_tool_search.py — 35 tests including the OpenClaw
#84141 regression guard.
- model_tools.py — wires assembly into _compute_tool_definitions as the
final step, adds skip_tool_search_assembly kwarg so the bridge can
see the real catalog, dispatches the three bridge tools.
- agent/tool_executor.py — unwraps tool_call in both parallel and
sequential parsing loops so checkpointing, guardrails, plugin hooks,
and tool-progress callbacks all observe the underlying tool name.
- hermes_cli/config.py — DEFAULT_CONFIG['tools']['tool_search'] block.
- website/docs/user-guide/features/tool-search.md — user docs.
Validation:
- 35/35 new tests pass.
- Existing tool/registry/model_tools/config/coercion/executor tests
(82 + 74 + small adjacents) green.
- Live E2E: 20 fake MCP tools registered, get_tool_definitions returns
3 bridges, tool_search returns top 3 hits, tool_describe returns
full schema, tool_call dispatches to the real underlying handler
and the underlying result is what the model sees.
- Reserved-name recursion guard verified live.
- Core-tool refusal via tool_call verified live.
NVIDIA's verified skills catalog (https://github.com/NVIDIA/skills) ships
NVIDIA-signed skills for CUDA-X, AIQ, cuOpt, cuPyNumeric, DeepStream, NeMo,
NemoClaw and the Skill Card Generator — each bundle carrying a detached
`skill.oms.sig` signature, a governance `skill-card.md`, and `evals/`. The
sync pipeline drops any skill missing those artifacts before publishing.
Changes:
- tools/skills_hub.py: add NVIDIA/skills to GitHubSource.DEFAULT_TAPS so
it lights up in `hermes skills browse`, `hermes skills search <q>`, the
twice-daily skills-index build, and the docs-site Skills Hub page
(https://hermes-agent.nousresearch.com/docs/skills) automatically.
- tools/skills_guard.py: add NVIDIA/skills to TRUSTED_REPOS so installs
resolve to trust_level="trusted" (looser install policy than community).
- website/scripts/extract-skills.py: map the `github` source id to a
friendly "NVIDIA" pill label for the docs hub page.
- website/src/pages/skills/index.tsx: register the NVIDIA pill (green
#76b900) and slot it into SOURCE_ORDER after HuggingFace.
- website/docs/user-guide/features/skills.md (+ zh-Hans i18n): document
the new default tap and the expanded trusted-repos list.
- tests/tools/test_skills_guard.py: assert NVIDIA/skills resolves to
"trusted" (including the skills-sh-wrapped form).
- tests/tools/test_skills_hub.py: invariant — every TRUSTED_REPOS entry
must be reachable via GitHubSource.DEFAULT_TAPS (prevents future
trusted repos from being declared but never browseable).
Validation:
- Live GitHub fetch: `src.fetch('NVIDIA/skills/skills/aiq-deploy')` pulled
17 files including SKILL.md (13 KB), skill-card.md, skill.oms.sig, and
the full references/ + evals/ tree. trust_level="trusted".
- Live inspect resolved name, description, and trust correctly.
- All 193 existing skills_guard + skills_hub tests still pass.
Adds an optional `messages` keyword to the `MemoryProvider.sync_turn`
contract so external/community memory plugins can receive the OpenAI-style
conversation message list for the completed turn — including assistant tool
calls and tool result content — not just the final assistant text.
Dispatch uses signature inspection (`_provider_sync_accepts_messages`): only
providers that declare a `messages` parameter (or `**kwargs`) receive it; all
existing in-tree providers keep their legacy text-only signature and are
called unchanged. No structured-trace envelope is added to core — providers
reconstruct whatever they need from the standard message list.
Also documents Memori as a standalone community memory provider.
Salvaged from #28065 — rebased onto current main.
Co-authored-by: Dave Heritage <david@memorilabs.ai>
The web_crawl_tool() function was an orphan — no model schema registered
it, no skill or CLI command called it, and the agent had no way to invoke
it. PR #32608 proposed wiring it up as a model-callable tool; we've
decided not to expose crawl as a separate capability since web_search +
web_extract cover the use cases we want models to have.
Removed:
- tools/web_tools.py: web_crawl_tool() (~230 LOC)
- plugins/web/firecrawl/provider.py: supports_crawl() + crawl()
- plugins/web/tavily/provider.py: supports_crawl() + crawl()
- plugins/web/xai/provider.py: supports_crawl() override
- agent/web_search_provider.py: supports_crawl() + crawl() ABC methods
- agent/web_search_registry.py: get_active_crawl_provider() +
the 'crawl' branch in _resolve()
- agent/display.py: web_crawl tool-progress rendering
- hermes_cli/config.py: 'web_crawl' from TAVILY_API_KEY.tools
- tools/website_policy.py: stale comment reference
- Tests: removed TestWebCrawlTavily class, the two website-policy
web_crawl tests, the searxng/ddgs/brave-free crawl-error tests,
the integration test_web_crawl method, and the
test_unconfigured_crawl_emits_top_level_error test. Trimmed the
capability-flag parametrize list and the WebSearchProvider ABC
conformance tests.
- Docs: trimmed the Crawl column from capability tables in both EN
and zh-Hans, updated the developer-guide ABC table.
Net: 25 files, +115/-1067.
Closes#33762 (the schema-text bug only existed if #32608 landed).
Supersedes #32608.
Operators behind reverse proxies that don't reliably forward
X-Forwarded-Host / X-Forwarded-Proto / X-Forwarded-Prefix (manual
nginx setups, on-prem ingresses, custom-domain Fly deploys with
incomplete proxy chains) had no way to force the absolute base URL
the OAuth callback redirects from. The dashboard would reconstruct
the redirect_uri from request headers, the IDP would echo it back,
and the user would land on the wrong host or wrong path — 404.
Add `dashboard.public_url` to config.yaml with env override
HERMES_DASHBOARD_PUBLIC_URL. When set, it is the complete authority —
scheme + host + optional path prefix (e.g. https://example.com/hermes) —
and becomes the base for the OAuth `redirect_uri`. X-Forwarded-Prefix
is IGNORED on this code path because the operator has explicitly
declared the public URL; we no longer need to guess from proxy
headers, and stacking the prefix on top would double-prefix the
common case where the prefix is already baked into public_url.
When unset, the existing proxy_headers + X-Forwarded-Prefix
reconstruction runs untouched. Existing Fly.io deploys continue to
work without configuration — this is purely additive.
Precedence mirrors dashboard.oauth.client_id:
env (non-empty) > config.yaml > reconstructed from request
Implementation:
- hermes_cli/config.py: add dashboard.public_url to DEFAULT_CONFIG
with a multi-paragraph doc comment explaining the use case,
the X-Forwarded-Prefix interaction, and the validation rules.
- hermes_cli/dashboard_auth/prefix.py: factored out the existing
_REJECT_CHARS frozenset, added _normalise_public_url() validator
(requires http/https scheme + non-empty host + no header-injection
chars), _load_dashboard_section() loader (robust to load_config
raising, non-dict shapes), and resolve_public_url() entry point
with the env-overrides-config precedence. A malformed value
silently falls through to ""; the caller treats "" as "reconstruct
from request" so a typo never breaks the login flow.
- hermes_cli/dashboard_auth/routes.py: rewrite _redirect_uri()
docstring to spell out the three resolution tiers; add the
public_url short-circuit before the existing X-Forwarded-Prefix
splicing. Source-level comment notes that X-Forwarded-Prefix is
intentionally ignored when public_url is set so a future reader
doesn't try to "fix" the missing prefix layering.
- cli-config.yaml.example: extend the existing dashboard section
with a public_url block.
- website/docs/user-guide/features/web-dashboard.md: new "Public
URL override" section between the provider configuration and
the OAuth flow walkthrough. Documents the env-vs-config table,
the validation rules, and the `http://` `public_url` ↔ Secure
cookie footgun.
Test coverage — new TestPublicUrlOverride class (8 tests):
- env var overrides request reconstruction (the primary motivating
case)
- config.yaml used when env unset
- env wins over config (precedence pin)
- public_url with a path prefix already baked in (the Q1-a case the
user explicitly chose)
- public_url suppresses X-Forwarded-Prefix layering (defends
against the double-prefix bug)
- trailing slash stripped from public_url (no //auth/callback)
- malformed public_url falls through to reconstruction (six
hostile inputs: javascript:, ftp:, missing scheme, missing host,
quote chars, CRLF injection)
- empty env string doesn't shadow config.yaml entry (CI / Fly
provisioned-but-empty secret case)
Mutation-tested: flipping the precedence in resolve_public_url() trips
exactly test_env_overrides_config_public_url; weakening the validator
(accept any scheme) trips exactly test_malformed_public_url_falls_through_to_reconstruction.
Both other tests in each pair stay green, confirming the suite
discriminates the specific regression each test pins.
Per AGENTS.md, ~/.hermes/.env is reserved for API keys / secrets and
config.yaml is the surface for non-secret configuration. The Nous
Portal plugin previously read HERMES_DASHBOARD_OAUTH_CLIENT_ID and
HERMES_DASHBOARD_PORTAL_URL from the environment only, which forced
local-dev / on-prem operators to put non-secret per-instance
configuration in .env — violating the convention.
Add dashboard.oauth.{client_id,portal_url} to DEFAULT_CONFIG and have
the plugin resolve each setting with env-overrides-config precedence:
1. Env var when set to a non-empty value (Fly.io platform-secret
injection — what pushes per-deploy client_ids without baking
them into the image).
2. config.yaml entry (canonical surface for local dev / on-prem).
3. Plugin default (no provider registered when client_id is empty;
portal_url defaults to https://portal.nousresearch.com).
Empty env values are explicitly treated as unset so a provisioned-but-
not-populated Fly secret can't accidentally shadow a valid config.yaml
entry with an empty string — operators would otherwise lose the gate.
Implementation:
- hermes_cli/config.py: add dashboard.oauth.{client_id,portal_url}
block to DEFAULT_CONFIG with full doc comment explaining the
override precedence and Fly.io rationale.
- plugins/dashboard_auth/nous/__init__.py: add _load_config_oauth_section,
_resolve_client_id, _resolve_portal_url helpers; replace the two
direct os.environ.get() calls in register() with the resolvers.
Update the skip-reason string to mention BOTH surfaces so an
operator looking at the fail-closed bind error knows config.yaml
is a valid alternative to the env var.
- plugins/dashboard_auth/nous/plugin.yaml: update description to
name both surfaces. requires_env stays pointing at the env var
name — it's metadata-only (not used by the plugin loader for
gating) so this is documentation/UX, not enforcement.
- cli-config.yaml.example: append commented dashboard.oauth block
with the same override rationale operators see in code.
- website/docs/user-guide/features/web-dashboard.md: rewrite the
'Default provider: Nous Research' section to lead with config.yaml,
present env vars as operator overrides (Fly.io's primary path).
Updated the example fail-closed bind error to match the new
skip-reason text.
Test coverage — new TestConfigYamlSource class (8 tests) pinning
every tier of the precedence chain:
- config-yaml-only path registers correctly
- both config-yaml fields (client_id + portal_url) honoured
- env var overrides config for client_id (Fly.io critical path)
- env var overrides config for portal_url
- empty env string does NOT shadow config (CI/Fly edge case)
- neither source set → skip with reason mentioning BOTH surfaces
- load_config() raising falls through to env-only path (resilience)
- non-dict oauth section falls through cleanly (typo resilience)
Mutation-tested: flipping the precedence to config-wins-over-env trips
exactly test_env_overrides_config_client_id while the other 7 stay
green, confirming the suite discriminates the order, not just the
sources.
This closes the last item in Teknium's PR review (PR #30156).
The Nous OAuth provider plugin (plugins/dashboard_auth/nous) is bundled
and auto-loaded — same as before — but previously refused to register
unless BOTH HERMES_DASHBOARD_OAUTH_CLIENT_ID and HERMES_DASHBOARD_PORTAL_URL
were set, then the gate's fail-closed branch told the operator 'install
the default Nous provider'. That message is misleading: the provider IS
installed; it's just unconfigured. And the contract only really needs
the per-instance client_id — the portal URL is the same for everyone
in production.
Three changes:
1. plugins/dashboard_auth/nous/__init__.py:
- HERMES_DASHBOARD_PORTAL_URL is now optional and defaults to
'https://portal.nousresearch.com'. Override only for staging
(portal.rewbs.uk) or a custom deployment. Empty string also
falls back to the default so an empty Fly secret can't point
the dashboard at nowhere.
- Plugin exposes a module-level LAST_SKIP_REASON: str that the gate
reads when no providers register. Cleared on each register() call.
Skip reasons are human-readable and actionable
('HERMES_DASHBOARD_OAUTH_CLIENT_ID is not set. The Nous Portal
provisions this env var…').
2. plugins/dashboard_auth/nous/plugin.yaml:
- requires_env drops HERMES_DASHBOARD_PORTAL_URL; only the client_id
is mandatory. Description updated to reflect this.
3. hermes_cli/web_server.py:
- When the gate fail-closes for 'no providers', it now reads each
bundled plugin's LAST_SKIP_REASON and embeds them in the SystemExit
message. Operator sees the specific config fix needed:
Bundled providers reported these issues:
• nous: HERMES_DASHBOARD_OAUTH_CLIENT_ID is not set. …
instead of the prior generic 'Install the default Nous provider'.
Tests:
- TestPluginRegister rewritten to assert the new defaults +
LAST_SKIP_REASON contents (6 tests, +1 new for empty-string env).
- New gate test test_start_server_surfaces_nous_skip_reason_when_unconfigured.
- test_get_method_is_not_allowed widened to handle the SPA-shell 200
path explicitly — assertion now verifies no JSON ticket leaks
rather than asserting a specific status code (covers all four of
401/404/405/200).
Docs updated: web-dashboard.md's 'Default provider' section now shows
the env-var table with required/optional columns and embeds the
fail-closed error message verbatim so operators can match what they
see at the prompt.
Adds an 'OAuth Authentication (gated mode)' section to the existing web
dashboard docs, slotted just before the CORS section so readers
encounter it after the REST API reference. Covers:
- When the gate engages (decision table for --host / --insecure
combinations).
- Fail-closed semantics if no provider is registered.
- Bundled Nous provider, env-var contract, Portal provisioning.
- Full OAuth dance (link to nous-account-service contract doc) — auth
code + PKCE S256, JWKS verification, 15-min token TTL, no refresh
token in V1.
- Cookies set (hermes_session_at + hermes_session_pkce; mentions the
deprecated hermes_session_rt slot).
- Logout flow, audit log path, redacted fields.
- Custom provider plugin recipe with the DashboardAuthProvider ABC.
- Verification recipe: env vars + /api/status curl.
The docs follow the existing web-dashboard.md style (option tables,
ASCII flow diagrams, curl examples). No frontmatter/sidebar position
changes — the section is appended in place.
New opt-in plugin that scans the content passed to write_file / patch /
skill_manage for 25 known-dangerous code patterns — pickle.load,
yaml.load, eval(, os.system, subprocess(shell=True), child_process.exec,
dangerouslySetInnerHTML, innerHTML/outerHTML/document.write/
insertAdjacentHTML, crypto.createCipher (no IV), AES ECB,
TLS verification disabled, XXE-prone xml.etree/minidom parsers,
<script src=//...> without SRI, torch.load without weights_only=True,
GitHub Actions ${{ github.event.* }} injection — and appends a
"Security guidance" warning block to the tool result via the
transform_tool_result hook.
Default behaviour is non-blocking: the file is written and the warning
rides back to the model in the next turn so it can self-correct or
document why the construct is safe. SECURITY_GUIDANCE_BLOCK=1 upgrades
to refusing the write entirely; SECURITY_GUIDANCE_DISABLE=1 is the
kill switch.
Pattern data (patterns.py) is a verbatim Apache-2.0 fork of
Anthropic's claude-plugins-official/plugins/security-guidance/hooks/
patterns.py at commit 0bde168 (2026-05-26). LICENSE and NOTICE
preserve attribution. The Hermes-side plugin glue (__init__.py,
plugin.yaml, README.md, tests) is original work.
Plugin is opt-in like all bundled plugins:
hermes plugins enable security-guidance
Inspired by https://x.com/ClaudeDevs/status/1927108527247... — Anthropic
shipped this as their security-guidance plugin for Claude Code on
2026-05-26 with a measured 30-40% reduction in security-related PR
comments on internal rollout.
What's NOT ported (deferred):
* Layer 2 (LLM diff review on turn end) — would route through main
model by default on Hermes, real money on reasoning models. A
follow-up can wire it to a cheap aux model with explicit opt-in.
* Layer 3 (agentic commit-time review) — agent can run this on
demand via delegate_task today.
* .hermes/security-guidance.md project-rules file — only used by
layers 2/3 upstream.
* 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.
* 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.
aqilaziz
helix4u
kurobaryo
hllqkb
Hashclaw
Teknium
wysie
Dave Heritage
Dusk1e
wysie
Ben
Stellar鱼
kshitijk4poor
Hasan Ali
H-Ali13381
Albert G
konsisumer
aqilaziz
bensargotest-sys
xxxigm
Bartok9
glennc
Hoang V. Pham
BROCCOLO1D
r266-tech
Guillaume Meyer
Siddharth Balyan
mr-r0b0t
freqyfreqy
Dan Benyamin
Eric Litovsky
Teknium
brooklyn!
Jun Han
liuyuqi
Yuan Tao-Wen
0xVox
Michel Belleau
Tony Simons
Aamir Jawaid
Jeffrey Quesnelle
Scott Trinh