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).
- 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.
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.
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>
* 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.
"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`.
llm-wiki was the only shipped skill using metadata.hermes.config, which
caused 'hermes update' and 'hermes config migrate' to prompt for a wiki
directory on every run — even for users who have never touched the skill
— because 'enabled' is opt-out (all shipped skills count as enabled unless
explicitly disabled). Declining the prompt didn't persist anything, so
the nag fired again on every update.
Switch llm-wiki to the env var + runtime default pattern that obsidian and
google-workspace already use: WIKI_PATH env var, default $HOME/wiki. No
prompting infrastructure, no config.yaml touch, no nag loop.
Changes:
- skills/research/llm-wiki/SKILL.md: remove metadata.hermes.config,
document WIKI_PATH env var in the Wiki Location section, update the
orientation snippet and initialization guidance.
- Docs: replace llm-wiki's wiki.path examples with a generic 'myplugin.path'
placeholder across configuration.md, features/skills.md, and
creating-skills.md so users don't try to set skills.config.wiki.path
expecting llm-wiki to use it.
- skills-catalog.md: mention WIKI_PATH instead of skills.config.wiki.path.
E2E verified: discover_all_skill_config_vars() and get_missing_skill_config_vars()
both return 0 entries after this change, so the prompt branch in migrate_config()
no longer fires.
The metadata.hermes.config feature stays in place for third-party skills
that genuinely need structured config, but built-ins now prefer env vars.
- New page: user-guide/features/tool-gateway.md covering eligibility,
setup (hermes model, hermes tools, manual config), how use_gateway
works, precedence, switching back, status checking, self-hosted
gateway env vars, and FAQ
- Added to sidebar under Features (top-level, before Core category)
- Cross-references from: overview.md, tools.md, browser.md,
image-generation.md, tts.md, providers.md, environment-variables.md
- Added Nous Tool Gateway subsection to env vars reference with
TOOL_GATEWAY_DOMAIN, TOOL_GATEWAY_SCHEME, TOOL_GATEWAY_USER_TOKEN,
and FIRECRAWL_GATEWAY_URL
Pass platform_env_var="TELEGRAM_PROXY" to resolve_proxy_url() in both
telegram.py (main connect) and telegram_network.py (fallback transport),
so a Telegram-specific proxy takes priority over the generic HTTPS_PROXY.
Also bridge telegram.proxy_url from config.yaml to the TELEGRAM_PROXY
env var (env var takes precedence if both are set), add OPTIONAL_ENV_VARS
entry, docs, and tests.
Composite salvage of four community PRs:
- Core approach (both call sites): #9414 by @leeyang1990
- config.yaml bridging + docs: #6530 by @WhiteWorld
- Naming convention: #9074 by @brantzh6
- Earlier proxy work: #7786 by @ten-ltw
Closes#9414, closes#9074, closes#7786, closes#6530
Co-authored-by: WhiteWorld <WhiteWorld@users.noreply.github.com>
Co-authored-by: brantzh6 <brantzh6@users.noreply.github.com>
Co-authored-by: ten-ltw <ten-ltw@users.noreply.github.com>
Users are confused about the difference between `hermes model` (terminal
command for full provider setup) and `/model` (session command for switching
between already-configured providers). This distinction was not documented
anywhere.
Changes across 4 doc pages:
- cli-commands.md: Added warning callout explaining the difference, added
--global flag docs, added 'only see OpenRouter models?' info box
- slash-commands.md: Added notes on both TUI and messaging /model entries
that /model only switches between configured providers
- providers.md: Added 'Two Commands for Model Management' comparison table
near top of page, added warning callout in switching section
- faq.md: Added new FAQ entry '/model only shows one provider' with quick
reference table
Prompted by user feedback in Discord — new users consistently hit this
confusion when trying to add providers from inside a session.
- Matrix docs: full Proxy Mode section with architecture diagram,
step-by-step setup (host + Docker), docker-compose.yml/Dockerfile
examples, configuration reference, and limitations notes
- API Server docs: add Proxy Mode section explaining the api_server
serves as the backend for gateway proxy mode
- Environment variables reference: add GATEWAY_PROXY_URL and
GATEWAY_PROXY_KEY entries
- Rename platform from 'qq' to 'qqbot' across all integration points
(Platform enum, toolset, config keys, import paths, file rename qq.py → qqbot.py)
- Add PLATFORM_HINTS for QQBot in prompt_builder (QQ supports markdown)
- Set SUPPORTS_MESSAGE_EDITING = False to skip streaming on QQ
(prevents duplicate messages from non-editable partial + final sends)
- Add _send_qqbot() standalone send function for cron/send_message tool
- Add interactive _setup_qq() wizard in hermes_cli/setup.py
- Restore missing _setup_signal/email/sms/dingtalk/feishu/wecom/wecom_callback
functions that were lost during the original merge
Adds Arcee AI as a standard direct provider (ARCEEAI_API_KEY) with
Trinity models: trinity-large-thinking, trinity-large-preview, trinity-mini.
Standard OpenAI-compatible provider checklist: auth.py, config.py,
models.py, main.py, providers.py, doctor.py, model_normalize.py,
model_metadata.py, setup.py, trajectory_compressor.py.
Based on PR #9274 by arthurbr11, simplified to a standard direct
provider without dual-endpoint OpenRouter routing.
Cherry-picked from PR #7637 by hcshen0111.
Adds kimi-coding-cn provider with dedicated KIMI_CN_API_KEY env var
and api.moonshot.cn/v1 endpoint for China-region Moonshot users.
- New docs page: user-guide/features/web-dashboard.md covering
quick start, prerequisites, all three pages (Status, Config, API Keys),
the /reload slash command, REST API endpoints, CORS config, and
development workflow
- Added 'Management' category in sidebar for web-dashboard
- Added 'hermes web' to CLI commands reference with options table
- Added '/reload' to slash commands reference (both CLI and gateway tables)
Follow-up for cherry-picked PR #8272:
- Add MATRIX_RECOVERY_KEY to module docstring header in matrix.py
- Register in OPTIONAL_ENV_VARS (config.py) with password=True, advanced=True
- Add to _NON_SETUP_ENV_VARS set
- Document cross-signing verification in matrix.md E2EE section
- Update migration guide with recovery key step (step 3)
- Add to environment-variables.md reference
- Add rebrand_text() that replaces OpenClaw, Open Claw, Open-Claw,
ClawdBot, and MoltBot with Hermes (case-insensitive, word-boundary)
- Apply rebranding to memory entries (MEMORY.md, USER.md, daily memory)
- Apply rebranding to SOUL.md and workspace instructions via new
transform parameter on copy_file()
- Fix moldbot -> moltbot typo across codebase (claw.py, migration
script, docs, tests)
- Add unit tests for rebrand_text and integration tests for memory
and soul migration rebranding
Add the missing 'Adding a Platform Adapter' developer guide — a
comprehensive step-by-step checklist covering all 20+ integration
points (enum, adapter, config, runner, CLI, tools, toolsets, cron,
webhooks, tests, and docs). Includes common patterns for long-poll,
callback/webhook, and token-lock adapters with reference implementations.
Also adds full docs coverage for the WeCom Callback platform:
- New docs page: user-guide/messaging/wecom-callback.md
- Environment variables reference (9 WECOM_CALLBACK_* vars)
- Toolsets reference (hermes-wecom-callback)
- Messaging index (comparison table, architecture diagram, toolsets,
security, next-steps links)
- Integrations index listing
- Sidebar entries for both new pages
- Add shared is_wsl() to hermes_constants (like is_termux)
- Update supports_systemd_services() to verify systemd is actually
running on WSL before returning True
- Add WSL-specific guidance in gateway install/start/setup/status
for both cases: WSL+systemd and WSL without systemd
- Improve help strings: 'run' now says recommended for WSL/Docker,
'start'/'install' now mention systemd/launchd explicitly
- Add WSL gateway FAQ section with tmux/nohup/Task Scheduler tips
- Update CLI commands docs with WSL tip
- Deduplicate _is_wsl() from clipboard.py to shared hermes_constants
- Fix clipboard tests to reset hermes_constants cache
- 20 new WSL-specific tests covering detection, systemd check,
supports_systemd_services integration, and command output
Motivated by user feedback: took 1 hour to figure out run vs start
on WSL, Telegram bot kept disconnecting due to flaky WSL systemd.
Add is_network_accessible() helper using Python's ipaddress module to
robustly classify bind addresses (IPv4/IPv6 loopback, wildcards,
mapped addresses, hostname resolution with DNS-failure-fails-closed).
The API server connect() now refuses to start when the bind address is
network-accessible and no API_SERVER_KEY is set, preventing RCE from
other machines on the network.
Co-authored-by: entropidelic <entropidelic@users.noreply.github.com>
When enabled, @mentioning the bot in a DM creates a thread (default:
false). Supports both env var and YAML config (matrix.dm_mention_threads).
6 new tests, docs updated.
From #6957
- Remove sys.path.insert hack (leftover from standalone dev)
- Add token lock (acquire_scoped_lock/release_scoped_lock) in
connect()/disconnect() to prevent duplicate pollers across profiles
- Fix get_connected_platforms: WEIXIN check must precede generic
token/api_key check (requires both token AND account_id)
- Add WEIXIN_HOME_CHANNEL_NAME to _EXTRA_ENV_KEYS
- Add gateway setup wizard with QR login flow
- Add platform status check for partially configured state
- Add weixin.md docs page with full adapter documentation
- Update environment-variables.md reference with all 11 env vars
- Update sidebars.ts to include weixin docs page
- Wire all gateway integration points onto current main
Salvaged from PR #6747 by Zihan Huang.
- Add HERMES_CRON_TIMEOUT and HERMES_CRON_SCRIPT_TIMEOUT to env vars reference
- Add script timeout and provider recovery sections to cron features page
- Add timeout resolution chain and credential pool details to cron internals
Add streaming timeout documentation to three pages:
- guides/local-llm-on-mac.md: New 'Timeouts' section with table of all
three timeouts, their defaults, local auto-adjustments, and env var
overrides
- reference/faq.md: Tip box in the local models FAQ section
- user-guide/configuration.md: 'Streaming Timeouts' subsection under
the agent config section
Follow-up to #6967.
Raise the default httpx stream read timeout from 60s to 120s for all
providers. Additionally, auto-detect local LLM endpoints (Ollama,
llama.cpp, vLLM) and raise the read timeout to HERMES_API_TIMEOUT
(1800s) since local models can take minutes for prefill on large
contexts before producing the first token.
The stale stream timeout already had this local auto-detection pattern;
the httpx read timeout was missing it — causing a hard 60s wall that
users couldn't find (HERMES_STREAM_READ_TIMEOUT was undocumented).
Changes:
- Default HERMES_STREAM_READ_TIMEOUT: 60s -> 120s
- Auto-detect local endpoints -> raise to 1800s (user override respected)
- Document HERMES_STREAM_READ_TIMEOUT and HERMES_STREAM_STALE_TIMEOUT
- Add 10 parametrized tests
Reported-by: Pavan Srinivas (@pavanandums)
* feat: API server model name derived from profile name
For multi-user setups (e.g. OpenWebUI), each profile's API server now
advertises a distinct model name on /v1/models:
- Profile 'lucas' -> model ID 'lucas'
- Profile 'admin' -> model ID 'admin'
- Default profile -> 'hermes-agent' (unchanged)
Explicit override via API_SERVER_MODEL_NAME env var or
platforms.api_server.model_name config for custom names.
Resolves friction where OpenWebUI couldn't distinguish multiple
hermes-agent connections all advertising the same model name.
* docs: multi-user setup with profiles for API server + Open WebUI
- api-server.md: added Multi-User Setup section, API_SERVER_MODEL_NAME
to config table, updated /v1/models description
- open-webui.md: added Multi-User Setup with Profiles section with
step-by-step guide, updated model name references
- environment-variables.md: added API_SERVER_MODEL_NAME entry
/pr <anything> silently resolved to /prompt via the shortest-match
tiebreaker in prefix expansion, permanently overwriting the system
prompt and persisting to config. The command's functionality (setting
agent.system_prompt) is available via config.yaml and /personality
covers the common use case.
Removes: CommandDef, dispatch branch, _handle_prompt_command handler,
docs references, and updates subcommand extraction test.
Documents both debugging commands with full option tables,
examples, and usage guidance. Adds both to the top-level
commands table and as detailed sections with subsections for
log files, filtering behavior, and log rotation.
The old setup wizard (pre-March 2026) wrote LLM_MODEL to ~/.hermes/.env
across 12 provider flows. Commit 9302690e removed the writes but never
cleaned up existing .env files, leaving a dead variable that:
- Nothing in the codebase reads (zero os.getenv calls)
- The docs incorrectly claimed the gateway still used as fallback
- Caused user confusion when debugging model resolution issues
Changes:
- config.py: Bump _config_version 12 → 13, add migration to clear
LLM_MODEL and OPENAI_MODEL from .env (both dead since March 2026)
- environment-variables.md: Remove LLM_MODEL row, fix HERMES_MODEL
description to stop referencing it
- providers.md: Update deprecation notice from 'deprecated' to 'removed'
