Remove scripts/setup_open_webui.sh and its 'one-command local bootstrap'
doc sections (EN + zh-Hans). The script pip-installed the third-party Open
WebUI frontend into ~/.local and managed a launchd/systemd user service —
a maintenance liability for downstream software we don't own, and the source
of the LAN first-admin signup footgun in #36121.
The Open WebUI *integration* via the OpenAI-compatible API server is
unaffected: the Docker/Docker-Compose setup, multi-user profile guide, and
troubleshooting in open-webui.md stay, and Open WebUI remains a listed
supported frontend. Only the install-and-service bootstrapper is gone.
@janrenz's PR #35862 added prompt_caching.enabled=false at init only. But
_anthropic_prompt_cache_policy re-derives _use_prompt_caching on every /model
switch (agent_runtime_helpers) and fallback-model swap (chat_completion_helpers),
which re-enabled markers and re-broke the strict proxy the toggle was meant to fix.
Move the kill switch into anthropic_prompt_cache_policy so it returns (False, False)
on every path. Drop the now-redundant init-time override (kept @janrenz's isinstance
hardening on the cache_ttl read). Add policy-level tests + docs for the toggle.
Follow-up to salvaged PR #35862.
Replace the interim monospace table fallback with Slack's native `table`
block (rows of rich_text cells). Addresses the core ask in #18918.
- _table_block(): builds type:"table" with rich_text cells, so inline
formatting (bold, links, code) renders inside cells.
- Column alignment parsed from the markdown separator row (:---, :-:, --:)
into column_settings (left = default/null-skip, center/right emitted).
- Escaped pipes (\\|) are not treated as column separators.
- Respects Slack's table limits (100 rows / 20 cols / 10k aggregate chars);
oversized or unparseable tables gracefully fall back to aligned monospace
(rich_text_preformatted), so a big table never breaks the message.
Docs (EN + zh-Hans) updated to describe native tables + the fallback.
Tests: native table shape, alignment->column_settings, inline-formatted
cells, oversized/too-wide monospace fallback, escaped-pipe cell. Prove-
failed against a stubbed _table_block (native-table tests fail, fallback
tests stay green). All existing Slack tests still pass.
Add platforms.slack.extra.rich_blocks (default off). When enabled, the
final agent message is sent as Slack Block Kit blocks — section headers,
dividers, and true nested lists via rich_text — instead of flat mrkdwn.
- New plugins/platforms/slack/block_kit.py: pure markdown->blocks renderer
(headers, dividers, nested ordered/bullet lists, blockquotes, fenced code;
pipe-tables as aligned monospace since Block Kit has no robust table block).
Enforces Slack's 50-block / 3000-char section limits and returns None to
fall back to plain text on empty/oversized/unexpected input. Never raises.
- adapter.send(): render blocks on the single-chunk primary message; a
text= fallback is ALWAYS sent alongside (notifications/accessibility).
- adapter.edit_message(): blocks only on finalize=True, so intermediate
streaming edits stay plain mrkdwn (no per-flush block re-derivation).
- Docs (EN + zh-Hans) + config example. Send-side only: no app reinstall.
Tests: pure-renderer unit suite + adapter integration suite (blocks present
when on, plain text when off, text fallback always set, finalize gating,
multi-chunk fallback). Prove-failed against a stubbed renderer.
Registers PowerShell (.ps1/.psm1/.psd1) in the LSP server registry,
spawning PowerShellEditorServices over stdio via a pwsh/powershell
host. PSES ships as a GitHub release zip (no npm/go/pip recipe), so it
sits in the manual install tier alongside rust-analyzer and clangd.
The spawn builder resolves the module bundle from (in order) the
lsp.servers.powershell.command override, init bundlePath, the
PSES_BUNDLE_PATH env var, or <HERMES_HOME>/lsp/PowerShellEditorServices,
then launches Start-EditorServices.ps1 -Stdio with a non-interactive,
no-profile host. hermes lsp status/list report it as manual-only until
pwsh is present.
Docs and tests included.
Adds gateway.platform_connect_timeout (default 30s) to DEFAULT_CONFIG and
bridges it to the internal HERMES_GATEWAY_PLATFORM_CONNECT_TIMEOUT env var
at gateway startup, following the existing gateway_timeout config->env
pattern. The env var remains the manual-override escape hatch and wins if
set explicitly; otherwise config.yaml supplies the value. This closes the
issue's documentation/config-surface request (#19776 suggestion 2) on top
of the adapter ready-wait fix, so users no longer need an undocumented env
var to raise the Discord connect timeout.
Refs #19776
Cron pre-run scripts were capped at 120s by default, which surprised
users running long data-collection scripts on crons (the whole point of
crons being to offload long work). Raise _DEFAULT_SCRIPT_TIMEOUT to 3600s
(1 hour).
This bounds the script only — skill/agent jobs already run on a separate
inactivity budget (HERMES_CRON_TIMEOUT, default 600s idle, 0=unlimited),
not a wall-clock cap. Scripts dispatch to a persistent thread pool and do
not hold the tick lock, so a long script doesn't starve other due jobs.
Docs clarified to make the script-vs-agent timeout distinction explicit.
env/config overrides (HERMES_CRON_SCRIPT_TIMEOUT,
cron.script_timeout_seconds) unchanged and still take precedence.
Add a `pre_verify` user/plugin/shell hook fired once per turn when the agent
edited code and is about to finish, after the existing verify-on-stop guard. A
hook can keep the agent going one more turn (run a check, defer it, tidy the
diff) by returning {"action":"continue","message":...} (the Claude-Code Stop
shape {"decision":"block","reason":...} is accepted too). Hooks receive coding,
attempt, final_response, and sorted changed_paths so they can self-scope and
self-throttle; the path is bounded by agent.max_verify_nudges and preserves
message-role alternation.
Hermes still ships its default coding guidance (agent.verify_guidance, on by
default), but it now rides the evidence-based verify-on-stop missing-evidence
nudge instead of a separate default pre_verify continuation, so it costs no
extra model turn of its own. Guidance reuses the shared utils.is_truthy_value
parser rather than a local copy.
Add a generic per-platform PlatformConfig.typing_indicator flag (default
True) that gates the _keep_typing refresh loop in
_process_message_background. When false, the loop is never spawned, so no
typing/"is thinking…" status is shown on that platform — message delivery
is otherwise unchanged.
Mirrors the gateway_restart_notification contract exactly: dataclass field
+ to_dict/from_dict (with extra-fallback resolution) + shared-key bridge in
load_gateway_config, so 'slack: typing_indicator: false' under platforms
works without a separate block. Generic by design — the same key works for
every platform (Slack 'is thinking…', Telegram/Discord/Signal typing).
Motivated by users who find Slack's assistant 'is thinking…' status noisy
(it also briefly disables the compose box, via the Assistant API).
Port the two genuinely-novel ideas from Command Code's /design skill into
our existing claude-design skill (skill-only, zero model-tool footprint):
- Surface-First: commit to one of 7 surface archetypes (Monitor/Operate/
Compare/Configure/Decide/Explore/Command) before any visual tokens. Most
AI design slop is compositional, not cosmetic — conditioning generation on
a surface choice collapses entropy the way a CoT step does. Workflow step 3.
- Slop Diagnostic: the ~10 tells that account for ~90% of the 'this is AI'
signal, as a score-out-of-10 self-audit. Diagnose-then-treat: the report is
context not a to-do list; repair only what fired, matched to the tell
(re-layout vs recolor vs de-decorate). Workflow step 7 (Verify).
Did NOT clone /design's 16-mode CLI, proprietary reference corpus, or make it
a core tool. Docs page regenerated via generate-skill-docs.py.
A manually-installed venv inside the cloned repo can be destroyed by the
agent running a relative-path command against its own checkout (rm -rf venv,
uv venv venv, etc.), silently wiping the running runtime mid-session. Moving
the canonical manual-install venv to ~/.hermes/venvs/hermes-dev means no
relative path from the agent's workspace resolves to its own runtime, making
the bug class impossible without any command-detection code.
Closes the root cause of #7779. The managed install.sh layout is unchanged.
The original cap held a process-global slot across the WHOLE vision
analysis (image load + encode + LLM call) with a default of min(CPUs, 4).
That serialized legitimate multi-image workflows — "compare these 6
screenshots", "read this 10-page scan", "analyze every frame" — behind a
4-wide gate, and on the native fast path it even throttled calls that make
no LLM request at all. Excess calls queued (blocking acquire, nothing
dropped), but the latency hit on real fan-out was the wrong tradeoff.
The incident was CPU exhaustion, not call count: concurrent base64/resize
bursts saturated every core and left none to service the shared event loop
serving /api/status. So cap ONLY that:
- A dedicated, bounded ThreadPoolExecutor (_vision_cpu_executor) runs the
encode/resize/dimension-check off the caller's loop, sized to the host's
usable core count with NO fixed ceiling — the cap tracks the actual
exhausted resource (cores), not a magic number. Excess encodes queue on
the executor; cores stay free for the loop.
- The LLM call is deliberately OUTSIDE the executor, so multi-image
workflows keep full request concurrency.
- Override via auxiliary.vision.max_concurrency / HERMES_VISION_MAX_CONCURRENCY
(honored verbatim, including above core count); sub-1 ignored.
- _vision_concurrency_slot() is now a no-op shim for back-compat.
Tests assert: resolver defaults to host cores with no ceiling; env/config
override (incl. above cores); sub-1 rejection; the executor is dedicated and
core-sized; encode runs on a vision-encode thread; and crucially that encode
bursts are bounded to the cap while the analyses themselves stay fully
concurrent (calls_peak > cap).
A single agent turn can fan out N vision_analyze calls at once — the
classic trigger is "analyze every frame of this video", where ffmpeg
explodes a clip into dozens of frames and the model calls vision_analyze
on each. Every call does a CPU-heavy base64-encode/resize burst AND holds
a long-lived LLM stream open. The tool executor runs concurrent tool calls
on a per-session ThreadPoolExecutor (_MAX_TOOL_WORKERS=8), and multiple
agent sessions share one process (the dashboard runs the agent in-process),
so there was no global ceiling. In prod (June 2026) a video-frame fan-out
pinned a worker thread at ~100% CPU and starved the shared asyncio event
loop that also serves the dashboard's /api/status liveness probe, flapping
the instance to UNHEALTHY even though nothing had crashed.
Add a process-global threading.BoundedSemaphore that bounds how many vision
analyses run concurrently across the whole process, held across the entire
analysis (image load + encode + LLM call) in the single _handle_vision_analyze
chokepoint (covers both the native fast path and the legacy aux-LLM path).
It is a threading semaphore, NOT asyncio: each vision call is dispatched
through model_tools._run_async on a per-thread event loop, so an asyncio
primitive bound to one loop cannot coordinate across them. The acquire is
offloaded via run_in_executor so waiting for a slot never blocks the calling
loop.
Default: min(host CPUs, 4), floored at 1 — respect the host's concurrency,
or lower. Override via auxiliary.vision.max_concurrency (config.yaml) or
HERMES_VISION_MAX_CONCURRENCY (env). Values < 1 are ignored so the cap can
never be disabled into an unbounded fan-out.
Tests: bounded-fan-out regression guard + a control proving it would fail
without the cap; resolver tests for host-cpu default, ceiling clamp, low-cpu
host, env override, and sub-1 rejection. Pre-existing handler tests updated
for the now-async _handle_vision_analyze. Verified via the real
registry.dispatch -> _run_async per-thread-loop path (16 concurrent calls,
peak bounded to cap).
Follow-up to the group-DM manifest fix. The manifest change only helps
NEW installs; existing apps keep their old (mpim-less) scopes until the
admin reinstalls. Since a missing message.mpim event delivers nothing
(no runtime API error to catch), detect stale installs at connect time
from the auth.test x-oauth-scopes header and log an actionable reinstall
nudge when im:history is granted but mpim:history is not. Also promote
message.mpim from Recommended to Required in the docs event tables so the
default setup path can't drop it.
Group DMs (multi-person DMs, channel_type=mpim) were never delivered to
the Slack bot. The adapter already classifies mpim as a DM and replies
ambiently (adapter.py:2526, is_dm = channel_type in {im, mpim}), but the
generated app manifest only subscribed to message.im / im:history — the
1:1 DM pair. Without the message.mpim event subscription Slack drops
group-DM messages before the adapter ever sees them, so 1:1 DMs worked
while group-DM ambient mode was dead.
Add message.mpim to bot_events and mpim:history (the scope that event
requires per Slack docs) + mpim:read (mirrors im:read for the
conversations.info classification call) to bot_scopes. Update the
SLACK_BOT_TOKEN / SLACK_APP_TOKEN setup-help strings and the Slack docs
(EN + zh-Hans: scope table, event table, troubleshooting) so existing
installs are told to add the new scopes and reinstall.
Reported by an enterprise customer. Note: this is a manifest/scope
change, so it only takes effect after the app is reinstalled and the
new scopes are accepted.
Tests: assert message.mpim + mpim:history + mpim:read are in the
manifest (with and without assistant mode); both fail on current main
and pass with this change.
The cron delivery table only showed Discord/Telegram with explicit
target syntax and described Slack and every other platform as
home-channel-only. In fact the generic platform:<target> routing in
_resolve_single_delivery_target resolves explicit targets for every
platform: Slack (#channel / channel ID / channel:thread_ts), Matrix
(room/user IDs), Feishu (chat:thread), WhatsApp (JID / E.164), Signal
(group / E.164), SMS, Email, and Weixin all have dedicated explicit-
target branches in _parse_target_ref; the remaining platforms accept a
generic platform:<chat_id> passthrough.
Update the Delivery Model table (en + zh-Hans) to show the real
per-platform syntax, document #channel name resolution via the channel
directory, and note the Slack thread_ts nuance. Docs-only.
`hermes serve` is newer than the desktop binary's release cadence, so a new
app launched against an un-upgraded managed install / PATH `hermes` would
crash on an unknown subcommand and brick the user mid-upgrade. Detect whether
the resolved runtime registers `serve` (fast source read of its dashboard.py,
with a one-time CLI probe fallback) and rewrite the backend argv to the legacy
`dashboard --no-open` only when it does not. Happy path (current runtimes)
pays nothing and still spawns `serve`.
- electron/backend-command.cjs: pure serve/dashboard argv helpers + serve-
source detection (unit-tested in backend-command.test.cjs)
- main.cjs: backendSupportsServe() cache + getBackendArgsForRuntime() guard at
both backend spawn sites; expose `root` from the Windows venv unwrap so the
fast source check covers Windows too
- docs: note the backward-compat fallback in README, desktop.md, AGENTS.md
The desktop app spawned `hermes dashboard --no-open` as its backend, which
made the dashboard look like a desktop prerequisite. Add a dedicated headless
`hermes serve` command that boots the same gateway (shared cmd_dashboard /
start_server) but never opens a browser, and point the desktop backend spawn
exclusively at it. dashboard and serve are now independent surfaces — neither
launches the other.
- subcommands/dashboard.py: factor shared server args; add `serve` parser
(always headless; accepts legacy --no-open as a no-op)
- main.py: register serve in _BUILTIN_SUBCOMMANDS + coalesce set + gui-log
detection; extend stale-backend reaper patterns to match `serve`
- desktop electron: spawn `serve`, rename dashboardArgs -> backendArgs,
update comments + windows-child-process test assertions
- docs: desktop README, desktop.md (incl. remote-backend), AGENTS.md, and
cli-commands.md now describe `hermes serve` as the desktop/headless backend
The desktop app spawns a headless `hermes dashboard --no-open` backend and
talks to it through the shared @hermes/shared WebSocket client — it never
runs or requires the browser dashboard UI. Spell this out in the desktop
README, the desktop docs page, and AGENTS.md so "dashboard" stops reading
as a desktop prerequisite.
* docs(discord): document bot-to-bot comms as unsupported (#32791)
Multi-profile bot-to-bot conversation is not a supported topology.
DISCORD_ALLOW_BOTS=none (the default) blocks all bot-originated
messages; setting mentions/all across multiple Hermes profiles to make
them reply to each other ack-loops because Discord's reply auto-mention
satisfies the mention gate every turn. Document the safe default and
the loop hazard so operators don't wire it up.
* docs(discord): infographic for bot-to-bot unsupported stance (#32791)
* docs: third-party-product plugins ship standalone, not into core tree
Generalizes the closed-set memory-provider policy to any plugin that
integrates someone else's product/project (observability backends,
vendor SaaS, analytics dashboards, paid-service tie-ins). These create
an open-ended maintenance burden on us for backends we don't own, so
they ship as standalone plugin repos installed into ~/.hermes/plugins/
and are promoted in #plugins-skills-and-skins — not merged into core.
- AGENTS.md: new 'what we don't want' bullet + generalized policy note
beside the memory-provider closed-set rule
- CONTRIBUTING.md: new 'Third-Party Product Integrations' section
- build-a-hermes-plugin.md: caution callout at the top of the guide
It's a coupling decision, not a quality bar — a plugin can clear review
and still be a close.
* docs: add infographic for standalone-plugin policy
Follow-up to the cherry-picked #29212 (#29177):
- Promote the 24h stale-process threshold to config.yaml
(session_reset.bg_process_max_age_hours) instead of a hardcoded
constant. 0 disables the cutoff (legacy: any live process blocks reset).
Wired through GatewayConfig.default_reset_policy in gateway/run.py.
- Bug 2: process(action=list) now resolves the gateway session_key from
the contextvar and surfaces session-scoped background processes (a
forgotten preview server under a different task), flagged
session_scoped — so the agent/user can discover and kill the blocker.
Previously the task-scoped list returned [] and the blocker was invisible.
- Tests: config round-trip for the new field, cross-task list visibility.
- Docs: messaging session-reset section.
The Discord adapter could enter a silent zombie state after a network
outage / proxy stall: the process is alive, _client looks open, but the
underlying socket is dead. discord.py's WebSocket reconnect never sees a
RST through a wedged proxy/NAT, so client.start() spins forever without
exiting — which means the bot-task done callback (which only fires on
task completion) never trips either. The bot stays "offline" in Discord
until a manual `hermes gateway restart`. Reported offline for 13-17h.
Adds an out-of-band REST liveness probe in DiscordAdapter. Every
`discord.liveness_interval_seconds` (default 60s) the adapter issues a
cheap fetch_user(bot_id) — the same REST path as message delivery, so it
fails when the proxy/NAT is wedged. After
`discord.liveness_failure_threshold` consecutive failures (default 3) the
probe closes the wedged client and surfaces a retryable fatal error,
which trips the gateway's existing _platform_reconnect_watcher and
rebuilds the adapter. Operators disable it by setting either knob to 0.
Config lives in config.yaml (discord.liveness_*) per the .env-is-secrets
policy; _apply_yaml_config bridges it to internal env vars the adapter
reads, matching the existing HERMES_DISCORD_TEXT_BATCH_* pattern.
Co-authored-by: Hermes Agent <agent@nousresearch.com>
A user-added systemd drop-in like ExecStopPost=/bin/kill -9 $MAINPID fires
on every stop, including clean restarts — it SIGKILLs the freshly spawned
gateway before it stabilizes and Restart=always respawns it, producing an
infinite restart loop (issue #23272). The unit Hermes installs already shuts
down cleanly via KillMode=mixed + KillSignal=SIGTERM with Restart=always +
RestartForceExitStatus, so no extra kill is needed. Document this as a danger
callout in the gateway service-management section.
HMAC validation authenticates the webhook sender, not the business
fields inside the payload (PR titles, commit messages, issue bodies),
which are authored by untrusted third parties. Expand the prompt-
injection section to make the trust boundary explicit: the agent's
capability surface, not the input channel. Document the hardening
levers (sandbox the runtime, scope the toolset, keep approvals on,
template narrowly) instead of pretending to sanitize untrusted text.
Refs #8820.
/moa no longer does a sticky model switch. It now always runs a single
prompt through the default MoA preset and restores the prior model
afterward; the whole argument is the prompt (no preset-name matching).
To switch to a MoA preset for the session, select it from the model
picker, where presets already surface under a virtual Mixture of Agents
provider on every model-selection surface.
Also fixes#53444: the TUI one-shot only set session[model_override],
which the already-built cached agent ignored, so MoA silently never ran
and the turn used the original model. The TUI now does a real in-place
agent.switch_model() via _apply_model_switch() when a live agent exists
(with a proper restore after the turn), and falls back to a model_override
for lazy/unbuilt sessions.
Removes the redundant sticky-switch branch from the CLI, gateway, and TUI
/moa handlers; updates the command description, usage string, and docs.
Add post_setup() and get_status_config() to the Supermemory memory
provider so `hermes memory setup` and `hermes memory status` print a
one-line connection summary (container, profile fact count,
auto_recall/auto_capture). Point API-key onboarding at the Hermes
connect URL (app.supermemory.ai/integrations?connect=hermes).
Salvage of #52988. Two fixes folded in:
- Test isolation: the new probe/status tests mocked _SupermemoryClient
but not the __import__("supermemory") guard inside
_probe_supermemory_connection, so they passed only where the optional
supermemory package was installed and failed on a clean checkout / CI
(the PR shipped with red CI). Added _stub_supermemory_importable()
mirroring the existing test_is_available_false_when_import_missing
pattern; the suite now passes with supermemory absent.
- post_setup: `if api_key and api_key not in os.environ` checked whether
the key's *value* named an env var (always false in practice). Fixed to
compare the value: `os.environ.get("SUPERMEMORY_API_KEY") != api_key`.
Verified: 38/38 in test_supermemory_provider.py and the full
tests/plugins/memory/ suite green with supermemory not installed.
Closes#52988
- Use os.pathsep instead of literal ':' so Windows paths (C:\dir) and
the Windows separator ';' work correctly.
- Add 9 tests covering multi-root behavior: writes inside first/second
root, writes outside all roots, trailing/leading/double separators,
all-separators edge case, static deny priority, duplicate dedup.
- Update hermes_cli/tips.py tip string to mention multiple paths.
- Update docs to mention os.pathsep / ; on Windows.
Follow-up for salvaged PR #49557.
Add a deprecation banner to the top of the dedicated Nix & NixOS setup
guide and consistency notes at the Nix sections of installation, updating,
and the plugin-distribution guide. Nix is now best-effort only; the
supported install paths are the curl|bash installer, Docker, and Windows.
* feat(kanban): typed block reasons + unblock-loop breaker
Stops the kanban blocked-task loop: a worker blocks a task, a cron
unblocks it, the worker re-blocks for the same reason, repeat forever.
block_task now takes a typed kind and a persistent block_recurrences
counter on the tasks table:
- kind=dependency routes to todo (parent-gated, auto-resumed), never
the human 'blocked' bucket a cron would keep unblocking.
- needs_input/capability/transient/untyped land in blocked; each
same-cause re-block after an unblock increments block_recurrences,
and at BLOCK_RECURRENCE_LIMIT (default 2) the task routes to triage
for a human instead of blocked.
- unblock_task no longer resets block_recurrences (the amnesia that
let the loop run unbounded); complete_task clears it on success.
Wired through the worker kanban_block tool (new kind arg) and the
hermes kanban block --kind CLI flag, both reporting where the task
actually landed. Docs + 11 new tests; 536 existing kanban tests green.
* test(kanban): make second-block notify test use a distinct block cause
test_notifier_second_blocked_delivers blocked the same task twice with
the same (untyped) reason, which now trips the new unblock-loop breaker
and routes the second block to triage instead of blocked — so only one
'blocked' notification fired. The test's actual intent is that TWO
distinct block cycles each notify; give the two cycles different kinds
(needs_input then capability) so they're genuinely separate blocks. The
same-cause loop→triage path is covered by test_kanban_block_kinds.py.
* feat(moa): expose MoA presets as selectable virtual models
Reconstructed onto current main (PR #46081's base had diverged with no common
ancestor, marking the PR dirty so CI never dispatched). MoA is now a virtual
provider: each named preset is a selectable model under provider 'moa', and the
preset's aggregator is the acting model that answers and calls tools.
Reference models fan out in parallel via a bounded ThreadPoolExecutor (the same
batch pattern delegate_task uses) — all references dispatched at once, collected
when every one finishes, then handed to the aggregator. Output order is
preserved, failures and the MoA-recursion guard stay isolated per reference.
- Removed the old mixture_of_agents model tool and moa toolset.
- Added moa as a virtual provider in the provider/model inventory.
- /moa is shortcut behavior over model selection (default preset / named preset
/ one-shot prompt).
- Dashboard + Desktop manage named presets; presets appear in model pickers.
- Parallel reference fan-out in agent/moa_loop.py with regression test.
* fix(moa): thread moa_config through _run_agent to _run_agent_inner
The reconstructed gateway MoA wiring declared moa_config on _run_agent (the
profile-scoping wrapper) and used it inside _run_agent_inner, but the wrapper
never forwarded it — _run_agent_inner had no such parameter, so the runtime hit
NameError: name 'moa_config' is not defined on the compression-failure session
sync path. Add moa_config to _run_agent_inner's signature and forward it from
both wrapper call sites (multiplex and non-multiplex). Caught by
tests/gateway/test_compression_failure_session_sync.py on CI shard test(4).
* fix(moa): classify moa as a virtual provider in the catalog
The moa virtual provider has no PROVIDER_REGISTRY/ProviderProfile entry, so
provider_catalog() fell through to the default auth_type="api_key" with no
env vars — tripping two catalog invariants:
- test_provider_catalog: api_key providers must expose a credential env var
- test_provider_parity: every hermes-model provider must be desktop-configurable
moa already declares auth_type="virtual" in HERMES_OVERLAYS; consult that
overlay as an auth_type fallback so the catalog reports moa as virtual (no real
credential, no network endpoint). Exempt virtual providers from the desktop
parity union check the same way 'custom' is exempt — derived from the catalog,
not a hardcoded slug, so future virtual providers are covered too.
Addresses review on #51077 (kxee). The continuable-cron mirror reused
gateway.mirror.mirror_to_session, which writes role=assistant — re-
introducing the exact alternation violation #2313 (37a997945)
deliberately removed: a cron brief landing as assistant after the
agent's last turn yields assistant->assistant, which breaks strict-
alternation providers (OpenAI/OpenRouter) per issue #2221. The mirror/
mirror_source metadata is also dropped at the SQLite boundary, so the
[Delivered from cron] label is lost on replay.
This is an intentional, opt-in (default OFF) reversal of #2313's
'cron output does not belong in interactive history' for the reply-to-
cron use case — gated behind cron.mirror_delivery / attach_to_session.
Fixes:
- mirror_to_session gains a role param (default 'assistant' — interactive
send_message mirror unchanged, it IS the agent speaking). Cron paths
pass role='user' with a '[Cron delivery: <task>]' prefix so the brief
collapses via repair_message_sequence's consecutive-user merge on every
provider, and stays distinguishable on replay despite the metadata drop.
- thread_seeded: defer seeding + the flag until delivery into the new
thread actually succeeds. Previously set pre-delivery, so an open-
succeeds / deliver-fails case both stranded a seeded-but-unseen brief
AND suppressed the DM-fallback mirror.
- seed mirror now passes user_id='system:cron' to resolve the exact
thread-keyed session row it just created.
- dedupe the duplicate BasePlatformAdapter import in _deliver_result.
- trim oversized docstrings to non-obvious WHY (AGENTS.md).
- docs: document cron.mirror_delivery / attach_to_session in
website/docs/user-guide/features/cron.md.
- test: assert the cron mirror writes role='user' with the label prefix.
204 cron+mirror tests pass.
* docs: stop recommending pip install hermes-agent; point to install script
The install script is the only supported install path (it provisions a
managed, isolated uv environment). Replace bare `pip install hermes-agent`
primary-install recommendations with the curl install script, and rewrite
optional-extra snippets (`pip install "hermes-agent[X]"`) to the managed-env
form `cd ~/.hermes/hermes-agent && uv pip install -e ".[X]"` that matches the
installer and the English quickstart.
Covers English docs + zh-Hans mirrors, the achievements plugin README, and
realigns the zh-Hans quickstart to the English Desktop-installer-first layout
(dropping its stale "Method A — pip (simplest)" section).
* docs: drop pip as a supported install/update method
Removes the 'pip installs' supported-method sections from updating.md and
cli-commands.md (EN + zh-Hans): the curl install script is the only supported
way to install/update the Hermes CLI. The _cmd_update_pip pip/pipx branches
remain in code as an undocumented safety net for users who already have such an
install, but the docs no longer advertise pip as a path.
Also normalizes a bare `pip install -e '.[acp]'` to the managed-env form.
Leaves python-library.md untouched: importing AIAgent as a library dependency
into your own project is a distinct use case where pip is correct.
Users who inspect ~/.hermes/sessions/sessions.json see only gateway entries
(e.g. agent:main:whatsapp:dm:...) and mistake it for the session index that
hermes sessions list / /sessions read — which is actually state.db. Issue
#49361 reported CLI sessions as 'invisible' on this premise.
- gateway/session.py: write a self-documenting _README sentinel at the top of
sessions.json explaining it's the gateway routing index and that ALL sessions
(CLI/TUI/gateway) live in state.db; skip _-prefixed keys on load so the
sentinel never round-trips into a SessionEntry.
- Harden every sessions.json reader against the sentinel: mcp_serve loader,
gateway/mirror.py, gateway/channel_directory.py all skip _-prefixed keys.
- docs/user-guide/sessions.md: warning callout naming the exact symptom.
- tests: assert prune ignores metadata sentinels; add round-trip coverage.
The 30-slot default could not fit Hermes's ~50 built-in commands, so
every skill command (and 20 built-ins) were silently dropped from the
Telegram \`/\` menu by default — they only worked when typed manually.
Raising the default to 60 keeps all built-ins plus common skill commands
visible out of the box while staying under Telegram's ~4KB payload limit.
Users can still tune it via platforms.telegram.extra.command_menu.
Adds a configurable Telegram BotCommand menu cap and priority list via
platforms.telegram.extra.command_menu (max_commands clamped 1..100;
priority_mode prepend|append|replace). Default cap stays 30; hidden
commands remain invokable when typed and /commands lists the full set.
Salvaged from PR #42021. Cherry-picked onto current main; the original
edited gateway/platforms/telegram.py, now relocated to
plugins/platforms/telegram/adapter.py.
Open-ended skill learning across every surface. /learn <free text> takes a
description of any source — a directory, a URL, the workflow you just walked
the agent through, or pasted notes — and the live agent gathers it with the
tools it already has (read_file/search_files, web_extract, the conversation,
the pasted text), then authors a SKILL.md via skill_manage following the
house authoring standards (<=60-char description, the standard section order,
Hermes-tool framing, no invented commands).
No engine, no model-tool footprint, works on any terminal backend (local,
Docker, remote): /learn builds a standards-guided prompt and hands it to the
agent as a normal turn.
- agent/learn_prompt.py: shared standards-guided prompt builder
- /learn registry entry (both surfaces) + CLI handler (inject onto input
queue) + gateway handler (rewrite turn, fall through, /blueprint pattern)
- tui_gateway command.dispatch returns a send directive -> TUI + dashboard chat
- dashboard Skills page 'Learn a skill' panel (dir + URL + open-ended text)
composes a /learn request and runs it in chat
- docs (slash-commands ref + skills feature page), 11 targeted tests
Inspired by OpenAI Codex's Record & Replay and the /learn concept from #47234
(dir-distillation engine); reworked to be open-ended and engine-free per
review.
