Smart model routing (auto-routing short/simple turns to a cheap model
across providers) was opt-in and disabled by default. This removes the
feature wholesale: the routing module, its config keys, docs, tests, and
the orchestration scaffolding it required in cli.py / gateway/run.py /
cron/scheduler.py.
The /fast (Priority Processing / Anthropic fast mode) feature kept its
hooks into _resolve_turn_agent_config — those still build a route dict
and attach request_overrides when the model supports it; the route now
just always uses the session's primary model/provider rather than
running prompts through choose_cheap_model_route() first.
Also removed:
- DEFAULT_CONFIG['smart_model_routing'] block and matching commented-out
example sections in hermes_cli/config.py and cli-config.yaml.example
- _load_smart_model_routing() / self._smart_model_routing on GatewayRunner
- self._smart_model_routing / self._active_agent_route_signature on
HermesCLI (signature kept; just no longer initialised through the
smart-routing pipeline)
- route_label parameter on HermesCLI._init_agent (only set by smart
routing; never read elsewhere)
- 'Smart Model Routing' section in website/docs/integrations/providers.md
- tip in hermes_cli/tips.py
- entries in hermes_cli/dump.py + hermes_cli/web_server.py
- row in skills/autonomous-ai-agents/hermes-agent/SKILL.md
Tests:
- Deleted tests/agent/test_smart_model_routing.py
- Rewrote tests/agent/test_credential_pool_routing.py to target the
simplified _resolve_turn_agent_config directly (preserves credential
pool propagation + 429 rotation coverage)
- Dropped 'cheap model' test from test_cli_provider_resolution.py
- Dropped resolve_turn_route patches from cli + gateway test_fast_command
— they now exercise the real method end-to-end
- Removed _smart_model_routing stub assignments from gateway/cron test
helpers
Targeted suites: 74/74 in the directly affected test files;
tests/agent + tests/cron + tests/cli pass except 5 failures that
already exist on main (cron silent-delivery + alias quick-command).
Follow-up to 93fe4b35. The behavior (free-response channels bypass
auto-threading so the channel stays a lightweight inline chat) was
intentional but never documented, causing user confusion ("is this a
bug?" reports).
Adds one line to the behavior table, one paragraph under
discord.free_response_channels, and a cross-reference under
discord.auto_thread.
The @easyops-cn/docusaurus-search-local option appends ?_highlight=<term>
query params to links from the search bar. Docusaurus puts the query string
before the #anchor, producing URLs like
/docs/foo?_highlight=bar#section
which look broken when copy-pasted. Turn the option off — Ctrl+F on the
landing page covers the same use case without polluting shareable links.
AWS Bedrock paths (bedrock_converse + AnthropicBedrock SDK) use boto3
with its own timeout config and are not wired to the per-provider knob.
Documented in cli-config.yaml.example and website configuration.md so
users don't expect it to take effect there.
Live test with timeout_seconds: 0.5 on claude-sonnet-4.6 proved the
initial wiring was insufficient: run_agent.py was overriding the
client-level timeout on every call via hardcoded per-request kwargs.
Root cause: run_agent.py had two sites that pass an explicit timeout=
kwarg into chat.completions.create() — api_kwargs['timeout'] at line
7075 (HERMES_API_TIMEOUT=1800s default) and the streaming path's
_httpx.Timeout(..., read=HERMES_STREAM_READ_TIMEOUT=120s, ...) at line
5760. Both override the per-provider config value the client was
constructed with, so a 0.5s config timeout would silently not enforce.
This commit:
- Adds AIAgent._resolved_api_call_timeout() — config > HERMES_API_TIMEOUT env > 1800s default.
- Uses it for the non-streaming api_kwargs['timeout'] field.
- Uses it for the streaming path's httpx.Timeout(connect, read, write, pool)
so both connect and read respect the configured value when set.
Local-provider auto-bump (Ollama/vLLM cold-start) only applies when
no explicit config value is set.
- New test: test_resolved_api_call_timeout_priority covers all three
precedence cases (config, env, default).
Live verified: 0.5s config on claude-sonnet-4.6 now triggers
APITimeoutError at ~3s per retry, exhausts 3 retries in ~15s total
(was: 29-47s success with timeout ignored). Positive case (60s config
+ gpt-4o-mini) still succeeds at 1.3s.
Follow-up on top of mvanhorn's cherry-picked commit. Original PR only
wired request_timeout_seconds into the explicit-creds OpenAI branch at
run_agent.py init; router-based implicit auth, native Anthropic, and the
fallback chain were still hardcoded to SDK defaults.
- agent/anthropic_adapter.py: build_anthropic_client() accepts an optional
timeout kwarg (default 900s preserved when unset/invalid).
- run_agent.py: resolve per-provider/per-model timeout once at init; apply
to Anthropic native init + post-refresh rebuild + stale/interrupt
rebuilds + switch_model + _restore_primary_runtime + the OpenAI
implicit-auth path + _try_activate_fallback (with immediate client
rebuild so the first fallback request carries the configured timeout).
- tests: cover anthropic adapter kwarg honoring; widen mock signatures
to accept the new timeout kwarg.
- docs/example: clarify that the knob now applies to every transport,
the fallback chain, and rebuilds after credential rotation.
Adds optional providers.<id>.request_timeout_seconds and
providers.<id>.models.<model>.timeout_seconds config, resolved via a new
hermes_cli/timeouts.py helper and applied where client_kwargs is built
in run_agent.py. Zero default behavior change: when both keys are unset,
the openai SDK default takes over.
Mirrors the existing _get_task_timeout pattern in agent/auxiliary_client.py
for auxiliary tasks - the primary turn path just never got the equivalent
knob.
Cross-project demand: openclaw/openclaw#43946 (17 reactions) asks for
exactly this config - specifically calls out Ollama cold-start hanging
the client.
Adds two complementary GitHub PR review guides from contest submissions:
- Cron-based PR review agent (from PR #5836 by @dieutx) — polls on a
schedule, no server needed, teaches skills + memory authoring
- Webhook-based PR review (from PR #6503 by @gaijinkush) — real-time via
GitHub webhooks, documents previously undocumented webhook feature
Both guides are cross-linked so users can pick the approach that fits.
Reworks quickstart.md by integrating the best content from PR #5744
by @aidil2105:
- Opinionated decision table ('The fastest path')
- Common failure modes table with causes and fixes
- Recovery toolkit sequence
- Session lifecycle verification step
- Better first-chat guidance with example prompts
Slims down installation.md:
- Removes 10-step manual/dev install section (already covered in
developer-guide/contributing.md)
- Links to Contributing guide for dev setup
- Keeps focused on the automated installer + prerequisites + troubleshooting
find-nearby and the (new) maps optional skill both used OpenStreetMap's
Overpass + Nominatim to answer the same question — 'what's near this
location?' — so shipping both would be duplicate code for overlapping
capability. Consolidate into one active-by-default skill at
skills/productivity/maps/ that is a strict superset of find-nearby.
Moves + deletions:
- optional-skills/productivity/maps/ → skills/productivity/maps/ (active,
no install step needed)
- skills/leisure/find-nearby/ → DELETED (fully superseded)
Upgrades to maps_client.py so it covers everything find-nearby did:
- Overpass server failover — tries overpass-api.de then
overpass.kumi.systems so a single-mirror outage doesn't break the skill
(new overpass_query helper, used by both nearby and bbox)
- nearby now accepts --near "<address>" as a shortcut that auto-geocodes,
so one command replaces the old 'search → copy coords → nearby' chain
- nearby now accepts --category (repeatable) for multi-type queries in
one call (e.g. --category restaurant --category bar), results merged
and deduped by (osm_type, osm_id), sorted by distance, capped at --limit
- Each nearby result now includes maps_url (clickable Google Maps search
link) and directions_url (Google Maps directions from the search point
— only when a ref point is known)
- Promoted commonly-useful OSM tags to top-level fields on each result:
cuisine, hours (opening_hours), phone, website — instead of forcing
callers to dig into the raw tags dict
SKILL.md:
- Version bumped 1.1.0 → 1.2.0, description rewritten to lead with
capability surface
- New 'Working With Telegram Location Pins' section replacing
find-nearby's equivalent workflow
- metadata.hermes.supersedes: [find-nearby] so tooling can flag any
lingering references to the old skill
External references updated:
- optional-skills/productivity/telephony/SKILL.md — related_skills
find-nearby → maps
- website/docs/reference/skills-catalog.md — removed the (now-empty)
'leisure' section, added 'maps' row under productivity
- website/docs/user-guide/features/cron.md — find-nearby example
usages swapped to maps
- tests/tools/test_cronjob_tools.py, tests/hermes_cli/test_cron.py,
tests/cron/test_scheduler.py — fixture string values swapped
- cli.py:5290 — /cron help-hint example swapped
Not touched:
- RELEASE_v0.2.0.md — historical record, left intact
E2E-verified live (Nominatim + Overpass, one query each):
- nearby --near "Times Square" --category restaurant --category bar → 3 results,
sorted by distance, all with maps_url, directions_url, cuisine, phone, website
where OSM had the tags
All 111 targeted tests pass across tests/cron/, tests/tools/, tests/hermes_cli/.
External services can now push plain-text notifications to a user's chat
via the webhook adapter without invoking the agent. Set deliver_only=true
on a route and the rendered prompt template becomes the literal message
body — dispatched directly to the configured target (Telegram, Discord,
Slack, GitHub PR comment, etc.).
Reuses all existing webhook infrastructure: HMAC-SHA256 signature
validation, per-route rate limiting, idempotency cache, body-size limits,
template rendering with dot-notation, home-channel fallback. No new HTTP
server, no new auth scheme, no new port.
Use cases: Supabase/Firebase webhooks → user notifications, monitoring
alert forwarding, inter-agent pings, background job completion alerts.
Changes:
- gateway/platforms/webhook.py: new _direct_deliver() helper + early
dispatch branch in _handle_webhook when deliver_only=true. Startup
validation rejects deliver_only with deliver=log.
- hermes_cli/main.py + hermes_cli/webhook.go: --deliver-only flag on
subscribe; list/show output marks direct-delivery routes.
- website/docs/user-guide/messaging/webhooks.md: new Direct Delivery
Mode section with config example, CLI example, response codes.
- skills/devops/webhook-subscriptions/SKILL.md: document --deliver-only
with use cases (bumped to v1.1.0).
- tests/gateway/test_webhook_deliver_only.py: 14 new tests covering
agent bypass, template rendering, status codes, HMAC still enforced,
idempotency still applies, rate limit still applies, startup
validation, and direct-deliver dispatch.
Validation: 78 webhook tests pass (64 existing + 14 new). E2E verified
with real aiohttp server + real urllib POST — agent not invoked, target
adapter.send() called with rendered template, duplicate delivery_id
suppressed.
Closes the gap identified in PR #12117 (thanks to @H1an1 / Antenna team)
without adding a second HTTP ingress server.
Agents can now send arbitrary CDP commands to the browser. The tool is
gated on a reachable CDP endpoint at session start — it only appears in
the toolset when BROWSER_CDP_URL is set (from '/browser connect') or
'browser.cdp_url' is configured in config.yaml. Backends that don't
currently expose CDP to the Python side (Camofox, default local
agent-browser, cloud providers whose per-session cdp_url is not yet
surfaced) do not see the tool at all.
Tool schema description links to the CDP method reference at
https://chromedevtools.github.io/devtools-protocol/ so the agent can
web_extract specific method docs on demand.
Stateless per call. Browser-level methods (Target.*, Browser.*,
Storage.*) omit target_id. Page-level methods attach to the target
with flatten=true and dispatch the method on the returned sessionId.
Clean errors when the endpoint becomes unreachable mid-session or
the URL isn't a WebSocket.
Tests: 19 unit (mock CDP server + gate checks) + E2E against real
headless Chrome (Target.getTargets, Browser.getVersion,
Runtime.evaluate with target_id, Page.navigate + re-eval, bogus
method, bogus target_id, missing endpoint) + E2E of the check_fn
gate (tool hidden without CDP URL, visible with it, hidden again
after unset).
Setup wizard now always writes dialecticCadence=2 on new configs and
surfaces the reasoning level as an explicit step with all five options
(minimal / low / medium / high / max), always writing
dialecticReasoningLevel.
Code keeps a backwards-compat fallback of 1 when dialecticCadence is
unset so existing honcho.json configs that predate the setting keep
firing every turn on upgrade. New setups via the wizard get 2
explicitly; docs show 2 as the default.
Also scrubs editorial lines from code and docs ("max is reserved for
explicit tool-path selection", "Unset → every turn; wizard pre-fills 2",
and similar process-exposing phrasing) and adds an inline link to
app.honcho.dev where the server-side observation sync is mentioned in
honcho.md. Recommended cadence range updated to 1-5 across docs and
wizard copy.
- cli: setup wizard pre-fills dialecticCadence=2 (code default stays 1
so unset → every turn)
- honcho.md: fix stale dialecticCadence default in tables, add
Session-Start Prewarm subsection (depth runs at init), add
Query-Adaptive Reasoning Level subsection, expand Observation
section with directional vs unified semantics and per-peer patterns
- memory-providers.md: fix stale default, rename Multi-agent/Profiles
to Multi-peer setup, add concrete walkthrough for new profiles and
sync, document observation toggles + presets, link to honcho.md
- SKILL.md: fix stale defaults, add Depth at session start callout
- Revert website/docs and SKILL.md changes; docs unification handled separately
- Scrub commit/PR refs and process narration from code comments and test
docstrings (no behavior change)
Several correctness and cost-safety fixes to the Honcho dialectic path
after a multi-turn investigation surfaced a chain of silent failures:
- dialecticCadence default flipped 3 → 1. PR #10619 changed this from 1 to
3 for cost, but existing installs with no explicit config silently went
from per-turn dialectic to every-3-turns on upgrade. Restores pre-#10619
behavior; 3+ remains available for cost-conscious setups. Docs + wizard
+ status output updated to match.
- Session-start prewarm now consumed. Previously fired a .chat() on init
whose result landed in HonchoSessionManager._dialectic_cache and was
never read — pop_dialectic_result had zero call sites. Turn 1 paid for
a duplicate synchronous dialectic. Prewarm now writes directly to the
plugin's _prefetch_result via _prefetch_lock so turn 1 consumes it with
no extra call.
- Prewarm is now dialecticDepth-aware. A single-pass prewarm can return
weak output on cold peers; the multi-pass audit/reconcile cycle is
exactly the case dialecticDepth was built for. Prewarm now runs the
full configured depth in the background.
- Silent dialectic failure no longer burns the cadence window.
_last_dialectic_turn now advances only when the result is non-empty.
Empty result → next eligible turn retries immediately instead of
waiting the full cadence gap.
- Thread pile-up guard. queue_prefetch skips when a prior dialectic
thread is still in-flight, preventing stacked races on _prefetch_result.
- First-turn sync timeout is recoverable. Previously on timeout the
background thread's result was stored in a dead local list. Now the
thread writes into _prefetch_result under lock so the next turn
picks it up.
- Cadence gate applies uniformly. At cadence=1 the old "cadence > 1"
guard let first-turn sync + same-turn queue_prefetch both fire.
Gate now always applies.
- Restored query-length reasoning-level scaling, dropped in 9a0ab34c.
Scales dialecticReasoningLevel up on longer queries (+1 at ≥120 chars,
+2 at ≥400), clamped at reasoningLevelCap. Two new config keys:
`reasoningHeuristic` (bool, default true) and `reasoningLevelCap`
(string, default "high"; previously parsed but never enforced).
Respects dialecticDepthLevels and proportional lighter-early passes.
- Restored short-prompt skip, dropped in ef7f3156. One-word
acknowledgements ("ok", "y", "thanks") and slash commands bypass
both injection and dialectic fire.
- Purged dead code in session.py: prefetch_dialectic, _dialectic_cache,
set_dialectic_result, pop_dialectic_result — all unused after prewarm
refactor.
Tests: 542 passed across honcho_plugin/, agent/test_memory_provider.py,
and run_agent/test_run_agent.py. New coverage:
- TestTrivialPromptHeuristic (classifier + prefetch/queue skip)
- TestDialecticCadenceAdvancesOnSuccess (empty-result retry, pile-up guard)
- TestSessionStartDialecticPrewarm (prewarm consumed, sync fallback)
- TestReasoningHeuristic (length bumps, cap clamp, interaction with depth)
- TestDialecticLifecycleSmoke (end-to-end 8-turn session walk)
- Remove orphan skills/creative/touchdesigner/references/pitfalls.md
left over from the rename commit (git add-then-edit instead of git mv
meant the old file never got deleted).
- Honour $HERMES_HOME in setup.sh and SKILL.md setup invocation so
profile-aware installs work correctly.
- Fix troubleshooting.md config path to use $HERMES_HOME instead of
hardcoding ~/.hermes/.
- Add touchdesigner-mcp entries to skills-catalog.md and
optional-skills-catalog.md for parity with blender-mcp/meme-generation.
Swap the social-media/xitter skill (third-party wrapper around
Infatoshi/x-cli) for a new social-media/xurl skill wrapping
xdevplatform/xurl — the official X API CLI from the X developer
platform team.
Why:
- xurl is officially maintained by the X dev platform team
- OAuth 2.0 PKCE with auto-refresh + multi-app / multi-user support
(vs. xitter's 5-env-var OAuth 1.0a + single account)
- Credentials stored in ~/.xurl managed by xurl itself — no manual
env var juggling for users
- Substantially larger API surface: DMs, follows, blocks, mutes,
media upload, streaming, and raw v2 endpoint access
- Ships stronger agent-safety guardrails (forbidden-flag list,
no --verbose in agent mode, never-read-~/.xurl rule)
Adaptation:
- Ported the openclaw SKILL.md (which the xdevplatform team seeded)
to Hermes frontmatter conventions (prerequisites.commands, platforms,
metadata.hermes.tags/homepage) — dropped openclaw-specific metadata
- Added a Hermes-oriented one-time user setup section so the agent
knows to direct the user to run auth commands themselves, never
execute them with inline secrets
- Preserved the mandatory secret-safety rules verbatim
- Attribution block credits xdevplatform, openclaw, and the Hermes
port
Docs: updated website/docs/reference/skills-catalog.md to replace
the xitter row with xurl.
- Note that /browser connect is CLI-only and won't work in gateways (WebUI, Telegram, Discord).
- Update the Chrome launch command to use a dedicated --user-data-dir, so port 9222 actually comes up even when Chrome is already running with the user's regular profile.
- Add --no-first-run --no-default-browser-check to skip the fresh-profile wizard.
- Explain why the dedicated user-data-dir matters.
Community tip via Karamjit Singh.
Co-authored-by: teknium1 <teknium@noreply.github.com>
Follow-up to PR #11971. Documents the new code_execution.mode config
key and what each mode actually does.
- user-guide/configuration.md: add mode: project to the yaml example,
explain project vs strict and call out that security invariants are
identical across modes.
- user-guide/features/code-execution.md: new 'Execution Mode' section
with a comparison table and usage guidance; update the 'temporary
directory' note so it reflects that script.py runs in the session
CWD in project mode (staging dir stays on PYTHONPATH for imports);
drop stale 'sandboxed' framing from the intro and skill-passthrough
paragraph.
- getting-started/learning-path.md: update the one-line Code Execution
summary to match (no longer 'sandboxed environments' — the default
runs in the session's real working directory).
No code changes.
Comprehensive audit of every reference/messaging/feature doc page against the
live code registries (PROVIDER_REGISTRY, OPTIONAL_ENV_VARS, COMMAND_REGISTRY,
TOOLSETS, tool registry, on-disk skills). Every fix was verified against code
before writing.
### Wrong values fixed (users would paste-and-fail)
- reference/environment-variables.md:
- DASHSCOPE_BASE_URL default was `coding-intl.dashscope.aliyuncs.com/v1` \u2192
actual `dashscope-intl.aliyuncs.com/compatible-mode/v1`.
- MINIMAX_BASE_URL and MINIMAX_CN_BASE_URL defaults were `/v1` \u2192 actual
`/anthropic` (Hermes calls MiniMax via its Anthropic Messages endpoint).
- reference/toolsets-reference.md MCP example used the non-existent nested
`mcp: servers:` key \u2192 real key is the flat `mcp_servers:`.
- reference/skills-catalog.md listed ~20 bundled skills that no longer exist
on disk (all moved to `optional-skills/`). Regenerated the whole bundled
section from `skills/**/SKILL.md` \u2014 79 skills, accurate paths and names.
- messaging/slack.md ":::info" callout claimed Slack has no
`free_response_channels` equivalent; both the env var and the yaml key are
in fact read.
- messaging/qqbot.md documented `QQ_MARKDOWN_SUPPORT` as an env var, but the
adapter only reads `extra.markdown_support` from config.yaml. Removed the
env var row and noted config-only nature.
- messaging/qqbot.md `hermes setup gateway` \u2192 `hermes gateway setup`.
### Missing coverage added
- Providers: AWS Bedrock and Qwen Portal (qwen-oauth) \u2014 both in
PROVIDER_REGISTRY but undocumented everywhere. Added sections to
integrations/providers.md, rows to quickstart.md and fallback-providers.md.
- integrations/providers.md "Fallback Model" provider list now includes
gemini, google-gemini-cli, qwen-oauth, xai, nvidia, ollama-cloud, bedrock.
- reference/cli-commands.md `--provider` enum and HERMES_INFERENCE_PROVIDER
enum in env-vars now include the same set.
- reference/slash-commands.md: added `/agents` (alias `/tasks`) and `/copy`.
Removed duplicate rows for `/snapshot`, `/fast` (\u00d72), `/debug`.
- reference/tools-reference.md: fixed "47 built-in tools" \u2192 52. Added
`feishu_doc` and `feishu_drive` toolset sections.
- reference/toolsets-reference.md: added `feishu_doc` / `feishu_drive` core
rows + all missing `hermes-<platform>` toolsets in the platform table
(bluebubbles, dingtalk, feishu, qqbot, wecom, wecom-callback, weixin,
homeassistant, webhook, gateway). Fixed the `debugging` composite to
describe the actual `includes=[...]` mechanism.
- reference/optional-skills-catalog.md: added `fitness-nutrition`.
- reference/environment-variables.md: added NOUS_BASE_URL,
NOUS_INFERENCE_BASE_URL, NVIDIA_API_KEY/BASE_URL, OLLAMA_API_KEY/BASE_URL,
XAI_API_KEY/BASE_URL, MISTRAL_API_KEY, AWS_REGION/AWS_PROFILE,
BEDROCK_BASE_URL, HERMES_QWEN_BASE_URL, DISCORD_ALLOWED_CHANNELS,
DISCORD_PROXY, TELEGRAM_REPLY_TO_MODE, MATRIX_DEVICE_ID, MATRIX_REACTIONS,
QQBOT_HOME_CHANNEL_NAME, QQ_SANDBOX.
- messaging/discord.md: documented DISCORD_ALLOWED_CHANNELS, DISCORD_PROXY,
HERMES_DISCORD_TEXT_BATCH_DELAY_SECONDS and HERMES_DISCORD_TEXT_BATCH_SPLIT
_DELAY_SECONDS (all actively read by the adapter).
- messaging/matrix.md: documented MATRIX_REACTIONS (default true).
- messaging/telegram.md: removed the redundant second Webhook Mode section
that invented a `telegram.webhook_mode: true` yaml key the adapter does
not read.
- user-guide/features/hooks.md: added `on_session_finalize` and
`on_session_reset` (both emitted via invoke_hook but undocumented).
- user-guide/features/api-server.md: documented GET /health/detailed, the
`/api/jobs/*` CRUD surface, POST /v1/runs, and GET /v1/runs/{id}/events
(10 routes that were live but undocumented).
- user-guide/features/fallback-providers.md: added `approval` and
`title_generation` auxiliary-task rows; added gemini, bedrock, qwen-oauth
to the supported-providers table.
- user-guide/features/tts.md: "seven providers" \u2192 "eight" (post-xAI add
oversight in #11942).
- user-guide/configuration.md: TTS provider enum gains `xai` and `gemini`;
yaml example block gains `mistral:`, `gemini:`, `xai:` subsections.
Auxiliary-provider enum now enumerates all real registry entries.
- reference/faq.md: stale AIAgent/config examples bumped from
`nous/hermes-3-llama-3.1-70b` and `claude-sonnet-4.6` to
`claude-opus-4.7`.
### Docs-site integrity
- guides/build-a-hermes-plugin.md referenced two nonexistent hooks
(`pre_api_request`, `post_api_request`). Replaced with the real
`on_session_finalize` / `on_session_reset` entries.
- messaging/open-webui.md and features/api-server.md had pre-existing
broken links to `/docs/user-guide/features/profiles` (actual path is
`/docs/user-guide/profiles`). Fixed.
- reference/skills-catalog.md had one `<1%` literal that MDX parsed as a
JSX tag. Escaped to `<1%`.
### False positives filtered out (not changed, verified correct)
- `/set-home` is a registered alias of `/sethome` \u2014 docs were fine.
- `hermes setup gateway` is valid syntax (`hermes setup \<section\>`);
changed in qqbot.md for cross-doc consistency, not as a bug fix.
- Telegram reactions "disabled by default" matches code (default `"false"`).
- Matrix encryption "opt-in" matches code (empty env default \u2192 disabled).
- `pre_api_request` / `post_api_request` hooks do NOT exist in current code;
documented instead the real `on_session_finalize` / `on_session_reset`.
- SIGNAL_IGNORE_STORIES is already in env-vars.md (subagent missed it).
Validation:
- `docusaurus build` \u2014 passes (only pre-existing nix-setup anchor warning).
- `ascii-guard lint docs` \u2014 124 files, 0 errors.
- 22 files changed, +317 / \u2212158.
Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:
1. gguf-quantization → llama-cpp (merged)
GGUF is llama.cpp's format; two skills covered the same toolchain. The
merged llama-cpp skill keeps the full K-quant table + imatrix workflow
from gguf and the ROCm/benchmarks/supported-models sections from the
original llama-cpp. All 5 reference files preserved.
2. grpo-rl-training → fine-tuning-with-trl (folded in)
GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
deep-dive SKILL.md to references/grpo-training.md and the working
template to templates/basic_grpo_training.py. TRL's GRPO workflow
section now points to both. Atropos skill's related_skills updated.
3. guidance → optional-skills/mlops/
Dropped from built-in. Outlines (still built-in) covers the same
structured-generation ground with wider adoption. Listed in the
optional catalog for users who specifically want Guidance.
Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.
hermes update no longer dies when the controlling terminal closes
(SSH drop, shell close) during pip install. SIGHUP is set to SIG_IGN
for the duration of the update, and stdout/stderr are wrapped so writes
to a closed pipe are absorbed instead of cascading into process exit.
All update output is mirrored to ~/.hermes/logs/update.log so users can
see what happened after reconnecting.
SIGINT (Ctrl-C) and SIGTERM (systemd) are intentionally still honored —
those are deliberate cancellations, not accidents. In gateway mode the
helper is a no-op since the update is already detached.
POSIX preserves SIG_IGN across exec(), so pip and git subprocesses
inherit hangup protection automatically — no changes to subprocess
spawning needed.
The existing 'Persistent browser sessions' section had the correct config
snippet but users still hit the flag at the wrong config path, assumed
Hermes could force persistence when the server was ephemeral, and had no
way to verify the flag was actually taking effect.
Adds to that section:
- Warning admonition calling out the nested path vs top-level mistake.
- Explicit 'What Hermes does / does not do' split so users understand
Hermes can only send a stable userId; the Camofox server must map it
to a persistent profile.
- 5-step verification flow for confirming persistence works end-to-end.
- Reminder to restart Hermes after editing config.yaml.
- Where Hermes derives the stable userId (~/.hermes/browser_auth/camofox/)
so users can reset or back up state.
Docs-only change.
Extend forum support from PR #10145:
- REST path (_send_discord): forum thread creation now uploads media
files as multipart attachments on the starter message in a single
call. Previously media files were silently dropped on the forum
path.
- Websocket media paths (_send_file_attachment, send_voice, send_image,
send_animation — covers send_image_file, send_video, send_document
transitively): forum channels now go through a new _forum_post_file
helper that creates a thread with the file as starter content,
instead of failing via channel.send(file=...) which forums reject.
- _send_to_forum chunk follow-up failures are collected into
raw_response['warnings'] so partial-send outcomes surface.
- Process-local probe cache (_DISCORD_CHANNEL_TYPE_PROBE_CACHE) avoids
GET /channels/{id} on every uncached send after the first.
- Dedup of TestSendDiscordMedia that the PR merge-resolution left
behind.
- Docs: Forum Channels section under website/docs/user-guide/messaging/discord.md.
Tests: 117 passed (22 new for forum+media, probe cache, warnings).
- AI Cards: how to configure ``card_template_id`` for streaming rich replies
- Emoji reactions: 🤔Thinking → 🥳Done lifecycle
- Per-platform display settings (streaming, tool_progress, reasoning, etc.)
- Installation: switch to the ``hermes-agent[dingtalk]`` extra (adds
alibabacloud-dingtalk alongside dingtalk-stream)
- Messaging capability matrix updated to reflect images, audio, video,
and threading support
Adds NVIDIA NIM as a first-class provider: ProviderConfig in
auth.py, HermesOverlay in providers.py, curated models
(Nemotron plus other open source models hosted on
build.nvidia.com), URL mapping in model_metadata.py, aliases
(nim, nvidia-nim, build-nvidia, nemotron), and env var tests.
Docs updated: providers page, quickstart table, fallback
providers table, and README provider list.
- stop rewriting markdown tables, headings, and links before delivery
- keep markdown table blocks and headings together during chunking
- update Weixin tests and docs for native markdown rendering
Closes#10308
discord.py does not apply a default AllowedMentions to the client, so any
reply whose content contains @everyone/@here or a role mention would ping
the whole server — including verbatim echoes of user input or LLM output
that happens to contain those tokens.
Set a safe default on commands.Bot: everyone=False, roles=False,
users=True, replied_user=True. Operators can opt back in via four
DISCORD_ALLOW_MENTION_* env vars or discord.allow_mentions.* in
config.yaml. No behavior change for normal user/reply pings.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.
Adds an escape hatch for this case.
hermes skills reset <name>
Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
re-baselines against the user's current copy. Future 'hermes update'
runs accept upstream changes again. Non-destructive.
hermes skills reset <name> --restore
Also deletes the user's copy and re-copies the bundled version.
Use when you want the pristine upstream skill back.
Also available as /skills reset in chat.
- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
repro, --restore, unknown-skill error, upstream-removed-skill, and
no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
section explaining the origin-hash mechanic + reset usage
* feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro
Upstream asked for these two upgrades ASAP — the old entries show
stale models when newer, higher-quality versions are available on FAL.
Recraft V3 → Recraft V4 Pro
ID: fal-ai/recraft-v3 → fal-ai/recraft/v4/pro/text-to-image
Price: $0.04/image → $0.25/image (6x — V4 Pro is premium tier)
Schema: V4 dropped the required `style` enum entirely; defaults
handle taste now. Added `colors` and `background_color`
to supports for brand-palette control. `seed` is not
supported by V4 per the API docs.
Nano Banana → Nano Banana Pro
ID: fal-ai/nano-banana → fal-ai/nano-banana-pro
Price: $0.08/image → $0.15/image (1K); $0.30 at 4K
Schema: Aspect ratio family unchanged. Added `resolution`
(1K/2K/4K, default 1K for billing predictability),
`enable_web_search` (real-time info grounding, +$0.015),
and `limit_generations` (force exactly 1 image).
Architecture: Gemini 2.5 Flash → Gemini 3 Pro Image. Quality
and reasoning depth improved; slower (~6s → ~8s).
Migration: users who had the old IDs in `image_gen.model` will
fall through the existing 'unknown model → default' warning path
in `_resolve_fal_model()` and get the Klein 9B default on the next
run. Re-run `hermes tools` → Image Generation to pick the new
version. No silent cost-upgrade aliasing — the 2-6x price jump
on these tiers warrants explicit user re-selection.
Portal note: both new model IDs need to be allowlisted on the
Nous fal-queue-gateway alongside the previous 7 additions, or
users on Nous Subscription will see the 'managed gateway rejected
model' error we added previously (which is clear and
self-remediating, just noisy).
* docs: wrap '<1s' in backticks to unblock MDX compilation
Docusaurus's MDX parser treats unquoted '<' as the start of JSX, and
'<1s' fails because '1' isn't a valid tag-name start character. This
was broken on main since PR #11265 (never noticed because
docs-site-checks was failing on OTHER issues at the time and we
admin-merged through it).
Wrapping in backticks also gives the cell monospace styling which
reads more cleanly alongside the inline-code model ID in the same row.
The other '<1s' occurrence (line 52) is inside a fenced code block
and is already safe — code fences bypass MDX parsing.
* docs: fix ascii-guard border alignment errors
Three docs pages had ASCII diagram boxes with off-by-one column
alignment issues that failed docs-site-checks CI:
- architecture.md: outer box is 71 cols but inner-box content lines
and border corners were offset by 1 col, making content-line right
border at col 70/72 while top/bottom border was at col 71. Inner
boxes also had border corners at cols 19/36/53 but content pipes
at cols 20/37/54. Rewrote the diagram with consistent 71-col width
throughout, aligned inner boxes at cols 4-19, 22-37, 40-55 with
2-space gaps and 15-space trailing padding.
- gateway-internals.md: same class of issue — outer box at 51 cols,
inner content lines varied 52-54 cols. Rewrote with consistent
51-col width, inner boxes at cols 4-15, 18-29, 32-43. Also
restructured the bottom-half message flow so it's bare text
(not half-open box cells) matching the intent of the original.
- agent-loop.md line 112-114: box 2 (API thread) content lines had
one extra space pushing the right border to col 46 while the top
and bottom borders of that box sat at col 45. Trimmed one trailing
space from each of the three content lines.
All 123 docs files now pass `npm run lint:diagrams`:
✓ Errors: 0 (warnings: 6, non-fatal)
Pre-existing failures on main — unrelated to any open PR.
* test(setup): accept description kwarg in prompt_choice mock lambdas
setup.py's `_curses_prompt_choice` gained an optional `description`
parameter (used for rendering context hints alongside the prompt).
`prompt_choice` forwards it via keyword arg. The two existing tests
mocked `_curses_prompt_choice` with lambdas that didn't accept the
new kwarg, so the forwarded call raised TypeError.
Fix: add `description=None` to both mock lambda signatures so they
absorb the new kwarg without changing behavior.
* test(matrix): update stale audio-caching assertion
test_regular_audio_has_http_url asserted that non-voice audio
messages keep their HTTP URL and are NOT downloaded/cached. That
was true when the caching code only triggered on
`is_voice_message`. Since bec02f37 (encrypted-media caching
refactor), matrix.py caches all media locally — photos, audio,
video, documents — so downstream tools can read them as real
files via media_urls. This applies to regular audio too.
Renamed the test to `test_regular_audio_is_cached_locally`,
flipped the assertions accordingly, and documented the
intentional behavior change in the docstring. Other tests in
the file (voice-specific caching, message-type detection,
reply-to threading) continue to pass.
* test(413): allow multi-pass preflight compression
run_agent.py's preflight compression runs up to 3 passes in a loop
for very large sessions (each pass summarizes the middle N turns,
then re-checks tokens). The loop breaks when a pass returns a
message list no shorter than its input (can't compress further).
test_preflight_compresses_oversized_history used a static mock
return value that returned the same 2 messages regardless of input,
so the loop ran pass 1 (41 -> 2) and pass 2 (2 -> 2 -> break),
making call_count == 2. The assert_called_once() assertion was
strictly wrong under the multi-pass design.
The invariant the test actually cares about is: preflight ran, and
its first invocation received the full oversized history. Replaced
the count assertion with those two invariants.
* docs: drop '...' from gateway diagram, merge side-by-side boxes
ascii-guard 2.3.0 flagged two remaining issues after the initial fix
pass:
1. gateway-internals.md L33: the '...' suffix after inner box 3's
right border got parsed as 'extra characters after inner-box right
border'. Dropped the '...' — the surrounding prose already conveys
'and more platforms' without needing the visual hint.
2. agent-loop.md: ascii-guard can't cleanly parse two side-by-side
boxes of different heights (main thread 7 rows, API thread 5 rows).
Even equalizing heights didn't help — the linter treats the left
box's right border as the end of the diagram. Merged into a single
54-char-wide outer box with both threads labeled as regions inside,
keeping the ▶ arrow to preserve the main→API flow direction.
* feat(image_gen): multi-model FAL support with picker in hermes tools
Adds 8 FAL text-to-image models selectable via `hermes tools` →
Image Generation → (FAL.ai | Nous Subscription) → model picker.
Models supported:
- fal-ai/flux-2/klein/9b (new default, <1s, $0.006/MP)
- fal-ai/flux-2-pro (previous default, kept backward-compat upscaling)
- fal-ai/z-image/turbo (Tongyi-MAI, bilingual EN/CN)
- fal-ai/nano-banana (Gemini 2.5 Flash Image)
- fal-ai/gpt-image-1.5 (with quality tier: low/medium/high)
- fal-ai/ideogram/v3 (best typography)
- fal-ai/recraft-v3 (vector, brand styles)
- fal-ai/qwen-image (LLM-based)
Architecture:
- FAL_MODELS catalog declares per-model size family, defaults, supports
whitelist, and upscale flag. Three size families handled uniformly:
image_size_preset (flux family), aspect_ratio (nano-banana), and
gpt_literal (gpt-image-1.5).
- _build_fal_payload() translates unified inputs (prompt + aspect_ratio)
into model-specific payloads, merges defaults, applies caller overrides,
wires GPT quality_setting, then filters to the supports whitelist — so
models never receive rejected keys.
- IMAGEGEN_BACKENDS registry in tools_config prepares for future imagegen
providers (Replicate, Stability, etc.); each provider entry tags itself
with imagegen_backend: 'fal' to select the right catalog.
- Upscaler (Clarity) defaults off for new models (preserves <1s value
prop), on for flux-2-pro (backward-compat). Per-model via FAL_MODELS.
Config:
image_gen.model = fal-ai/flux-2/klein/9b (new)
image_gen.quality_setting = medium (new, GPT only)
image_gen.use_gateway = bool (existing)
Agent-facing schema unchanged (prompt + aspect_ratio only) — model
choice is a user-level config decision, not an agent-level arg.
Picker uses curses_radiolist (arrow keys, auto numbered-fallback on
non-TTY). Column-aligned: Model / Speed / Strengths / Price.
Docs: image-generation.md rewritten with the model table and picker
walkthrough. tools-reference, tool-gateway, overview updated to drop
the stale "FLUX 2 Pro" wording.
Tests: 42 new in tests/tools/test_image_generation.py covering catalog
integrity, all 3 size families, supports filter, default merging, GPT
quality wiring, model resolution fallback. 8 new in
tests/hermes_cli/test_tools_config.py for picker wiring (registry,
config writes, GPT quality follow-up prompt, corrupt-config repair).
* feat(image_gen): translate managed-gateway 4xx to actionable error
When the Nous Subscription managed FAL proxy rejects a model with 4xx
(likely portal-side allowlist miss or billing gate), surface a clear
message explaining:
1. The rejected model ID + HTTP status
2. Two remediation paths: set FAL_KEY for direct access, or
pick a different model via `hermes tools`
5xx, connection errors, and direct-FAL errors pass through unchanged
(those have different root causes and reasonable native messages).
Motivation: new FAL models added to this release (flux-2-klein-9b,
z-image-turbo, nano-banana, gpt-image-1.5, ideogram-v3, recraft-v3,
qwen-image) are untested against the Nous Portal proxy. If the portal
allowlists model IDs, users on Nous Subscription will hit cryptic
4xx errors without guidance on how to work around it.
Tests: 8 new cases covering status extraction across httpx/fal error
shapes and 4xx-vs-5xx-vs-ConnectionError translation policy.
Docs: brief note in image-generation.md for Nous subscribers.
Operator action (Nous Portal side): verify that fal-queue-gateway
passes through these 7 new FAL model IDs. If the proxy has an
allowlist, add them; otherwise Nous Subscription users will see the
new translated error and fall back to direct FAL.
* feat(image_gen): pin GPT-Image quality to medium (no user choice)
Previously the tools picker asked a follow-up question for GPT-Image
quality tier (low / medium / high) and persisted the answer to
`image_gen.quality_setting`. This created two problems:
1. Nous Portal billing complexity — the 22x cost spread between tiers
($0.009 low / $0.20 high) forces the gateway to meter per-tier per
user, which the portal team can't easily support at launch.
2. User footgun — anyone picking `high` by mistake burns through
credit ~6x faster than `medium`.
This commit pins quality at medium by baking it into FAL_MODELS
defaults for gpt-image-1.5 and removes all user-facing override paths:
- Removed `_resolve_gpt_quality()` runtime lookup
- Removed `honors_quality_setting` flag on the model entry
- Removed `_configure_gpt_quality_setting()` picker helper
- Removed `_GPT_QUALITY_CHOICES` constant
- Removed the follow-up prompt call in `_configure_imagegen_model()`
- Even if a user manually edits `image_gen.quality_setting` in
config.yaml, no code path reads it — always sends medium.
Tests:
- Replaced TestGptQualitySetting (6 tests) with TestGptQualityPinnedToMedium
(5 tests) — proves medium is baked in, config is ignored, flag is
removed, helper is removed, non-gpt models never get quality.
- Replaced test_picker_with_gpt_image_also_prompts_quality with
test_picker_with_gpt_image_does_not_prompt_quality — proves only 1
picker call fires when gpt-image is selected (no quality follow-up).
Docs updated: image-generation.md replaces the quality-tier table
with a short note explaining the pinning decision.
* docs(image_gen): drop stale 'wires GPT quality tier' line from internals section
Caught in a cleanup sweep after pinning quality to medium. The
"How It Works Internally" walkthrough still described the removed
quality-wiring step.
The status bar was showing stale lifecycle text ("running…") while the
face+verb stream flickered through the thinking panel as Python pushed
thinking.delta events. That's backwards — the face ticker is the
primary "I'm alive" signal, it belongs in the status bar; the thinking
panel is for substantive reasoning and tool activity.
Status bar now reads `ui.busy`: when true, renders a local `<FaceTicker>`
cycling FACES × VERBS on a 2.5s interval, unaffected by server events.
When false, the bar shows the actual status string (ready, starting
agent…, interrupted, etc.).
Side effect: `scheduleThinkingStatus` still patches `ui.status` with
Python's face text, but while busy the bar ignores that string and uses
the ticker instead. No server-side changes needed — Python keeps
emitting thinking.delta as a liveness heartbeat, the TUI just doesn't
let it fight the status bar.
"Ink" is the React reconciler — implementation detail, not branding.
Consistent naming: the classic CLI is the CLI, the new one is the TUI.
Updated docs: user-guide/tui.md, user-guide/cli.md cross-link, quickstart,
cli-commands reference, environment-variables reference.
Updated code: main.py --tui help text, server.py user-visible setup
error, AGENTS.md "TUI Architecture" section.
Kept "Ink" only where it is literally the library (hermes-ink internal
source comments, AGENTS.md tree note flagging ui-tui/ as a React/Ink dir).
New primary guide at `user-guide/tui.md` covering launch, requirements,
keybindings, slash commands, status line, configuration, sessions, and
the revert path. Matches the voice of `user-guide/cli.md`.
Cross-links:
- `user-guide/cli.md`: tip callout pointing readers at the Ink TUI
- `getting-started/quickstart.md`: shows both `hermes` and `hermes --tui`
under "Start Chatting" so first-run users know they have the choice
- `reference/environment-variables.md`: new "Interface" section with
`HERMES_TUI` and `HERMES_TUI_DIR`
- `reference/cli-commands.md`: `--tui` and `--dev` added to global options
Sidebar: `user-guide/tui` slotted right after `user-guide/cli`.
* - make buffered streaming
- fix path naming to expand `~` for agent.
- fix stripping of matrix ID to not remove other mentions / localports.
* fix(matrix): register MembershipEventDispatcher for invite auto-join
The mautrix migration (#7518) broke auto-join because InternalEventType.INVITE
events are only dispatched when MembershipEventDispatcher is registered on the
client. Without it, _on_invite is dead code and the bot silently ignores all
room invites.
Closes#10094Closes#10725
Refs: PR #10135 (digging-airfare-4u), PR #10732 (fxfitz)
* fix(matrix): preserve _joined_rooms reference for CryptoStateStore
connect() reassigned self._joined_rooms = set(...) after initial sync,
orphaning the reference captured by _CryptoStateStore at init time.
find_shared_rooms() returned [] forever, breaking Megolm session rotation
on membership changes.
Mutate in place with clear() + update() so the CryptoStateStore reference
stays valid.
Refs #8174, PR #8215
* fix(matrix): remove dual ROOM_ENCRYPTED handler to fix dedup race
mautrix auto-registers DecryptionDispatcher when client.crypto is set.
The adapter also registered _on_encrypted_event for the same event type.
_on_encrypted_event had zero awaits and won the race to mark event IDs
in the dedup set, causing _on_room_message to drop successfully decrypted
events from DecryptionDispatcher. The retry loop masked this by re-decrypting
every message ~4 seconds later.
Remove _on_encrypted_event entirely. DecryptionDispatcher handles decryption;
genuinely undecryptable events are logged by mautrix and retried on next
key exchange.
Refs #8174, PR #8215
* fix(matrix): re-verify device keys after share_keys() upload
Matrix homeservers treat ed25519 identity keys as immutable per device.
share_keys() can return 200 but silently ignore new keys if the device
already exists with different identity keys. The bot would proceed with
shared=True while peers encrypt to the old (unreachable) keys.
Now re-queries the server after share_keys() and fails closed if keys
don't match, with an actionable error message.
Refs #8174, PR #8215
* fix(matrix): encrypt outbound attachments in E2EE rooms
_upload_and_send() uploaded raw bytes and used the 'url' key for all
rooms. In E2EE rooms, media must be encrypted client-side with
encrypt_attachment(), the ciphertext uploaded, and the 'file' key
(with key/iv/hashes) used instead of 'url'.
Now detects encrypted rooms via state_store.is_encrypted() and
branches to the encrypted upload path.
Refs: PR #9822 (charles-brooks)
* fix(matrix): add stop_typing to clear typing indicator after response
The adapter set a 30-second typing timeout but never cleared it.
The base class stop_typing() is a no-op, so the typing indicator
lingered for up to 30 seconds after each response.
Closes#6016
Refs: PR #6020 (r266-tech)
* fix(matrix): cache all media types locally, not just photos/voice
should_cache_locally only covered PHOTO, VOICE, and encrypted media.
Unencrypted audio/video/documents in plaintext rooms were passed as MXC
URLs that require authentication the agent doesn't have, resulting
in 401 errors.
Refs #3487, #3806
* fix(matrix): detect stale OTK conflict on startup and fail closed
When crypto state is wiped but the same device ID is reused, the
homeserver may still hold one-time keys signed with the previous
identity key. Identity key re-upload succeeds but OTK uploads fail
with "already exists" and a signature mismatch. Peers cannot
establish new Olm sessions, so all new messages are undecryptable.
Now proactively flushes OTKs via share_keys() during connect() and
catches the "already exists" error with an actionable log message
telling the operator to purge the device from the homeserver or
generate a fresh device ID.
Also documents the crypto store recovery procedure in the Matrix
setup guide.
Refs #8174
* docs(matrix): improve crypto recovery docs per review
- Put easy path (fresh access token) first, manual purge second
- URL-encode user ID in Synapse admin API example
- Note that device deletion may invalidate the access token
- Add "stop Synapse first" caveat for direct SQLite approach
- Mention the fail-closed startup detection behavior
- Add back-reference from upgrade section to OTK warning
* refactor(matrix): cleanup from code review
- Extract _extract_server_ed25519() and _reverify_keys_after_upload()
to deduplicate the re-verification block (was copy-pasted in two
places, three copies of ed25519 key extraction total)
- Remove dead code: _pending_megolm, _retry_pending_decryptions,
_MAX_PENDING_EVENTS, _PENDING_EVENT_TTL — all orphaned after
removing _on_encrypted_event
- Remove tautological TestMediaCacheGate (tested its own predicate,
not production code)
- Remove dead TestMatrixMegolmEventHandling and
TestMatrixRetryPendingDecryptions (tested removed methods)
- Merge duplicate TestMatrixStopTyping into TestMatrixTypingIndicator
- Trim comment to just the "why"
Adds Google Gemini TTS as the seventh voice provider, with 30 prebuilt
voices (Zephyr, Puck, Kore, Enceladus, Gacrux, etc.) and natural-language
prompt control. Integrates through the existing provider chain:
- tools/tts_tool.py: new _generate_gemini_tts() calls the
generativelanguage REST endpoint with responseModalities=[AUDIO],
wraps the returned 24kHz mono 16-bit PCM (L16) in a WAV RIFF header,
then ffmpeg-converts to MP3 or Opus depending on output extension.
For .ogg output, libopus is forced explicitly so Telegram voice
bubbles get Opus (ffmpeg defaults to Vorbis for .ogg).
- hermes_cli/tools_config.py: exposes 'Google Gemini TTS' as a provider
option in the curses-based 'hermes tools' UI.
- hermes_cli/setup.py: adds gemini to the setup wizard picker, tool
status display, and API key prompt branch (accepts existing
GEMINI_API_KEY or GOOGLE_API_KEY, falls back to Edge if neither set).
- tests/tools/test_tts_gemini.py: 15 unit tests covering WAV header
wrap correctness, env var fallback (GEMINI/GOOGLE), voice/model
overrides, snake_case vs camelCase inlineData handling, HTTP error
surfacing, and empty-audio edge cases.
- docs: TTS features page updated to list seven providers with the new
gemini config block and ffmpeg notes.
Live-tested against api key against gemini-2.5-flash-preview-tts: .wav,
.mp3, and Telegram-compatible .ogg (Opus codec) all produce valid
playable audio.
llm-wiki was the only shipped skill using metadata.hermes.config, which
caused 'hermes update' and 'hermes config migrate' to prompt for a wiki
directory on every run — even for users who have never touched the skill
— because 'enabled' is opt-out (all shipped skills count as enabled unless
explicitly disabled). Declining the prompt didn't persist anything, so
the nag fired again on every update.
Switch llm-wiki to the env var + runtime default pattern that obsidian and
google-workspace already use: WIKI_PATH env var, default $HOME/wiki. No
prompting infrastructure, no config.yaml touch, no nag loop.
Changes:
- skills/research/llm-wiki/SKILL.md: remove metadata.hermes.config,
document WIKI_PATH env var in the Wiki Location section, update the
orientation snippet and initialization guidance.
- Docs: replace llm-wiki's wiki.path examples with a generic 'myplugin.path'
placeholder across configuration.md, features/skills.md, and
creating-skills.md so users don't try to set skills.config.wiki.path
expecting llm-wiki to use it.
- skills-catalog.md: mention WIKI_PATH instead of skills.config.wiki.path.
E2E verified: discover_all_skill_config_vars() and get_missing_skill_config_vars()
both return 0 entries after this change, so the prompt branch in migrate_config()
no longer fires.
The metadata.hermes.config feature stays in place for third-party skills
that genuinely need structured config, but built-ins now prefer env vars.
