The 1Password secret source resolves op:// references using
OP_SERVICE_ACCOUNT_TOKEN read from os.environ. Under systemd the gateway
gets that token via EnvironmentFile, but cron jobs, subprocesses, CLI
runs, macOS launchd, and Docker containers spawn fresh interpreters with
no inherited shell state — so they silently failed to resolve any
reference and fell back to empty strings.
Two patches close the gap, matching Bitwarden's reliability guarantees:
1. env_loader: auto-load ~/.hermes/.op.env after .env so the gitignored
bootstrap token is available everywhere. override=False plus an
explicit guard ensure it never clobbers a token already in env (e.g.
from a systemd EnvironmentFile, which keeps precedence).
2. credential_pool: _get_env_prefer_dotenv() now prefers the resolved
value in os.environ when .env still holds a raw op:// reference,
instead of handing a URL to provider auth. Non-op:// values keep the
existing .env-takes-precedence behaviour.
Also gitignore .op.env, document the three bootstrap-token options, and
add tests covering auto-load, no-override, and the resolved-vs-raw
precedence (plus regression guards).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Resolve provider credentials from 1Password op://vault/item/field references
at startup via the official `op` CLI, alongside the existing Bitwarden source.
Users map env-var names to references in secrets.onepassword.env; after .env
loads, each is resolved with `op read` and injected into os.environ. Auth is
whatever `op` already uses (service-account token or desktop/interactive
session) — Hermes never authenticates or installs `op` itself.
Startup-safe and fail-open: a missing binary, expired auth, a bad reference,
or an empty value each warn and fall back to existing credentials, never
blocking startup. Successful, complete pulls are cached in-process and on disk
(<hermes_home>/cache/op_cache.json, 0600) via the shared DiskCache; only
secret values are stored, never the token (auth is fingerprinted into the
key). Adds `hermes secrets onepassword {setup,status,set,remove,sync,disable}`
(aliases op/1password), config defaults, the cli-config example, docs, and
hermetic tests.
Hardening applied across both backends in env_loader: each source runs in its
own guard, config sections are coerced to dict, and cache_ttl_seconds is
coerced defensively — so a malformed secrets: section can't abort startup.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Follow-up to #59332 targeting the remaining PERCEIVED first-token latency
(the wire streaming was already per-token; these fix what the user sees):
1. display.show_reasoning default ON. On thinking models the reasoning
phase streams for tens of seconds; with the display off users stare
at a spinner the whole time and read it as a stall. Flipped in
DEFAULT_CONFIG, load_cli_config defaults, tui_gateway raw-YAML
fallbacks, and the hermes setup status line (all four read sites kept
in sync). Gateway per-platform defaults intentionally stay off —
messaging chats shouldn't fill with thinking text. /reasoning hide
still turns it off and persists.
2. Response box force-flushes long partial lines. _emit_stream_text only
painted on newline, so a response opening with a long paragraph
stayed invisible until the first \n — seconds of blank box. Now
partial lines wrap at terminal width and paint as tokens arrive
(mirrors the reasoning box's 80-char force-flush that existed since
day one). Table blocks remain batch-aligned; no content loss at wrap
boundaries (regression tests added).
3. hermes_time timezone resolution uses read_raw_config (mtime-cached +
libyaml C loader) instead of a raw yaml.safe_load of config.yaml
(~110-140ms measured) inside the FIRST system prompt build. First
build drops 320ms -> ~155ms on a 200-skill install.
4. Stale docs: configuration.md (en+zh) still documented the 70%/90%
[BUDGET WARNING] tool-result injections. Those were removed in April
2026 (c8aff7463) precisely because they hurt task completion; current
behavior is exhaustion-message + one grace call, no mid-loop
injection, no cache impact. Docs now describe reality.
Verified: token-count compression decisions already use API-reported
last_prompt_tokens (rough estimators are preflight-only and cost ~1.7ms
even on 1.7MB histories — not worth touching).
Bare 'hermes sessions prune' keeps the historical 90-day default, but any
filter — now including --source — suppresses the implicit cutoff, so
'prune --source cron' targets ALL cron sessions instead of silently only
those older than 90 days (the surprise a user hit live: 'No sessions
match ... source cron' despite plenty of recent cron runs).
- CLI preview + confirmation now show the match count plus the oldest
and newest matching session start times before deleting.
- Dashboard /api/sessions/prune mirrors the semantics: attribute filters
without an explicit older_than_days match all ages (model_fields_set
distinguishes an explicit 90 from the Pydantic default); dry_run
responses gain oldest_started_at/newest_started_at.
- Docs + argparse help updated; tests for both surfaces.
* feat(sessions): full filter surface for prune + new bulk archive subcommand
hermes sessions prune previously only supported --older-than N (integer
days) and --source — no way to target a window like 'the last 5 hours'
(e.g. a batch of CI smoke-test sessions), and no non-destructive option.
- SessionDB.prune_sessions gains keyword filters that AND together:
started_before/started_after epoch bounds, title_like, end_reason,
cwd_prefix, min/max_messages, archived tri-state. Default call is
byte-for-byte compatible (90-day cutoff, ended-only, source).
- New SessionDB.list_prune_candidates (backs --dry-run + confirmation
previews) and SessionDB.archive_sessions (bulk soft-hide via the
existing set_session_archived lineage-aware path; nothing deleted).
- CLI: prune gains --newer-than/--before/--after (durations like 5h/2d/1w,
bare days, or ISO timestamps), --title, --end-reason, --cwd,
--min/--max-messages, --include-archived, --dry-run. New
'hermes sessions archive' takes the same filters, requires at least one,
and is idempotent. Both show a preview before confirming.
- Dashboard /api/sessions/prune accepts the same filters + dry_run.
- Docs: sessions.md + cli-commands.md updated.
Filter parsing lives in hermes_cli/session_filters.py with unit tests;
DB filters covered in tests/test_hermes_state.py.
* feat(sessions): prune/archive filters for model, provider, user, chat, branch, tokens, cost, tool calls
Extends the prune/archive filter surface to everything identifiable in
the sessions table:
- --model (substring on model slug), --provider (exact on
billing_provider, case-insensitive), --user, --chat-id, --chat-type
(exact), --branch (substring on git_branch), --min/--max-tokens
(input+output), --min/--max-cost (USD, actual_cost_usd falling back to
estimated_cost_usd), --min/--max-tool-calls.
- SessionDB prune/archive/list_prune_candidates now share the filter
kwargs via **filters into _prune_filter_where (unknown names raise
TypeError); candidates listing + CLI preview now include the model.
- Any attribute filter (except legacy --source) suppresses the implicit
90-day default so 'prune --model X' matches all ages.
- Dashboard /api/sessions/prune passes the new fields through.
- Docs + tests updated (7 new DB tests, 3 new parser tests).
* fix(docker): heal pairing-dir ownership after `docker exec` writes (#10270)
The official Docker image runs the gateway as the unprivileged `hermes`
user (uid 10000) via `gosu`, but `docker exec` defaults to root. Approval
files written by `docker exec <container> hermes pairing approve <code>`
end up as `-rw------- root:root`, and the post-gosu gateway process
cannot read them. The approval is silently ignored — the user keeps
hitting 'Unauthorized user' on every message.
The entrypoint's existing top-level chown is gated on the top-level
$HERMES_HOME being mis-owned, so on warm boots (where /opt/data is
already hermes:hermes) the recursive chown is skipped — meaning a
container restart does NOT self-heal the bug either.
Three-part fix:
1. docker/entrypoint.sh: chown the platforms/pairing/ (and legacy
pairing/) subtree on every container start, regardless of the
top-level decision. The directory is tiny (a few JSON files), so
the unconditional chown is effectively free. Container restart
now self-heals.
2. gateway/pairing.py: PairingStore._load_json was swallowing
PermissionError under its bare 'except OSError' branch, which is
what made this a silent failure. Split it out: log a WARNING that
names the file, the gateway's uid, the file's owner/mode, and the
exact docker exec -u hermes workaround. Still falls back to {} so
the gateway stays up.
3. website/docs/user-guide/security.md: add a Docker tip to the
pairing-CLI section pointing users at `docker exec -u hermes …`
up front.
Reproduced end-to-end in a containerized harness — before the fix
the gateway sees 0 approved users after `docker exec` + restart;
after the fix it sees the expected 1, and the file on disk goes
from `root:root 600` back to `hermes:hermes 600` on next start.
Fixes#10270
* fix(pairing): gate os.geteuid for Windows in PermissionError warning
Adds approvals.deny to config.yaml — a list of fnmatch globs matched
against terminal commands. A match blocks unconditionally, BEFORE the
--yolo / /yolo / approvals.mode=off bypass, making it the user-editable
counterpart to the code-shipped hardline blocklist.
- Checked in both command gates (check_dangerous_command and
check_all_command_guards), after the hardline floor and sudo-stdin
guard, before the yolo bypass and permanent allowlist.
- Matching runs over the same normalized/deobfuscated command variants
as the dangerous-pattern detector, case-insensitive.
- Opt-in: empty/absent list is a no-op; behavior unchanged.
Supersedes the trust-engine approach from #21500 with a minimal
config-native design: the only capability the existing stack lacked
was deny-that-beats-yolo. Allow already exists (command_allowlist),
ask already exists (session approvals).
Follow-up to the salvaged toggle commit:
- file_tools.py / code_execution_tool.py: carry docker_network in their
container_config dicts so those environment-creation paths honor the
lockdown instead of silently defaulting back to bridge (the probe/exec
asymmetry class reported on #46358).
- docker.py: cross-process reuse now inspects HostConfig.NetworkMode when
docker_network=false and removes a mismatched (networked) container
before starting a fresh air-gapped one. Fails closed when inspect fails.
Default-network config never churns containers, so operators using
docker_extra_args --network=none are unaffected.
- tests: AST invariant that every container_config site carrying
docker_run_as_host_user also carries docker_network, plus three reuse
guard tests (reject bridge under lockdown / keep matching none /
no inspect when network enabled).
- docs: configuration.md gains terminal.docker_network + env var row.
Add an opt-in toggle (require_admin_for_exec_approval, default false) that
restricts who can click Approve/Deny on a dangerous-command prompt to admins
listed in allow_admin_from. Off by default, so the v0.16-restored user-scope
behavior is unchanged. When on, the clicker must pass the normal admission
check AND be an admin; fails closed (logged) when no admins are configured.
Only ExecApprovalView is gated — model picker / clarify / update-prompt stay
user-scope.
/model switches, primary-model fallback, and credential-pool key
rotation all change the prompt-cache key (model and/or account), so
the next turn re-reads the entire conversation at full input price.
Add cost warnings everywhere docs recommend or describe these paths:
- reference/slash-commands.md: cost note on both /model rows
- user-guide/features/fallback-providers.md: warning admonition
- user-guide/features/credential-pools.md: warning admonition
- user-guide/configuring-models.md: mid-session switch warning
- guides/tips.md: expand cache tip + /model tip
- reference/faq.md: warning on the switch-back-and-forth example
- user-guide/desktop.md: composer picker bullet
- developer-guide/context-compression-and-caching.md: new
cache-aware design pattern (model identity is part of the key)
Inspired by Claude Code v2.1.199 (July 2, 2026): stacked slash-skill
invocations load all leading skills (up to 5), not just the first.
- agent/skill_commands.py: split_stacked_skill_commands() consumes leading
/skill tokens (stops at the first non-skill token so slash-path arguments
are never swallowed); build_stacked_skill_invocation_message() composes
the multi-skill turn reusing the existing bundle scaffolding markers so
extract_user_instruction_from_skill_message() keeps memory providers
storing the user's instruction, not N skill bodies.
- cli.py + gateway/run.py: dispatch the stacked path on both surfaces.
- 11 new tests + docs section in skills.md.
- warn once per route instead of on every request (busy senders would
spam the log)
- document X-Webhook-Signature-V2 / X-Webhook-Timestamp in the webhooks
user guide
Follow-ups for salvaged #58461.
Both wired against features the iron-proxy author (@mslipper) confirmed on
PR #30179 — and both verified present in the pinned v0.39.0 source.
Header-auth providers (match_headers):
- New _HEADER_AUTH_PROVIDERS: Anthropic native (x-api-key), Azure OpenAI
(api-key on *.openai.azure.com / *.cognitiveservices / *.services.ai),
Gemini (x-goog-api-key + ?key= query param via match_query).
- TokenMapping grows match_headers + alias_env_names; per-provider header
sets flow into the secrets rules; mappings.json roundtrips them
(legacy files load with the Authorization default).
- GEMINI_API_KEY / GOOGLE_API_KEY collapse into ONE mapping (two
require-rules on the same host would reject each other); the sandbox
gets the token under both names, and the proxy child env mirrors the
alias into the canonical name when only the alias is set.
- Docker backend injects alias env names alongside canonical ones.
- The fail-closed tier is now empty, so fail_on_uncovered_providers and
discover_blocked_providers are deleted (dead toggle otherwise);
_NON_BEARER_PROVIDERS shrinks to genuinely-unswappable signature auth
(AWS SigV4, GCP service-account OAuth) — warn-only, as before.
Management API (hot reload):
- Generated proxy.yaml enables the v0.39 management listener: loopback
only at tunnel_port+2, bearer key from HERMES_IRON_PROXY_MGMT_KEY.
- Key minted at setup (management.token, 0600); start_proxy injects it
(v0.39 refuses to start when api_key_env is empty).
- hermes egress reload -> POST /v1/reload: re-reads proxy.yaml and
atomically swaps the pipeline; 422 leaves the running ruleset
untouched; actionable errors for not-running / pre-management config /
key mismatch. Secrets changes still require restart (daemon env is
read at spawn) — the CLI says so.
Validation: 218/218 unit+CLI+docker tests; 3/3 gated live E2E against the
real v0.39.0 binary (Authorization swap, x-api-key swap, live reload with
token rotation on the same pid). Docs updated.
A single-model Hermes agent never sends temperature; the provider default
applies. MoA hardcoded reference_temperature=0.6 / aggregator_temperature=0.4,
and the coercion float(preset.get(key, 0.6) or 0.6) made unset IMPOSSIBLE to
express: absent, null, empty, and even an explicit 0 all collapsed to the
baked-in default. Every MoA advisor and aggregator therefore ran at 0.6/0.4
while the same model running solo used the provider default — silently
skewing solo-vs-MoA comparisons and overriding provider-tuned defaults.
- moa_config normalization: temperatures coerce to None when absent/blank/
invalid (new _coerce_float_or_none); explicit values incl. 0 honored.
- moa_loop: _preset_temperature() resolves preset values; None flows to
call_llm, which already omits the parameter when None (same contract as
max_tokens). Aggregator still inherits the acting agent's own configured
temperature when the preset doesn't pin one.
- conversation_loop (context-mode MoA): same resolution, no more hardcoded
0.6/0.4 at the call site.
- DEFAULT_CONFIG preset + web_server payload models + docs updated: unset
is the default, pinning stays available.
Group DMs (MPIMs) were classified as DMs and thereby exempted from every
operator control that shared surfaces are supposed to honor: allowed_channels,
require_mention, strict_mention, free_response_channels, and the reaction
guard. Symptom: the bot added 👀/✅ to unmentioned MPIM
messages and still invoked the agent (which then returned NO_REPLY) instead of
the gateway dropping the event before model execution. Removing an MPIM from
allowed_channels did not disable it.
Root cause is the DM classification at adapter.py:
is_dm = channel_type in {"im", "mpim"}
used for BOTH routing exemptions and reaction gating. An MPIM is a shared
surface (multiple humans can see and trigger the bot), not a private 1:1 DM,
so it must be gated like a channel.
This behavior was introduced/reinforced by a trail of Slack group-DM PRs:
- #4633 fix(slack): treat group DMs (mpim) like DMs + reaction guard
- #54632 fix(slack): subscribe to message.mpim + mpim scopes so group DMs work
- #54663 fix(slack): group DMs work OOTB + reinstall nudge
#54632/#54663 correctly made MPIM messages *reachable*; #4633 over-reached by
giving them the DM mention/reaction *exemptions*. This corrects only that
over-reach.
Fix (minimal): introduce `is_one_to_one_dm = channel_type == "im"` and key the
two EXEMPTION sites off it instead of `is_dm`:
- mention/allowlist gating block (`if not is_one_to_one_dm and bot_uid:`)
- reaction guard (`(is_one_to_one_dm or is_mentioned)`)
`is_dm` is intentionally retained for session/thread scoping and chat_type
labeling, where treating an MPIM as a persistent multi-party conversation is
correct — only the mention/reaction exemptions were wrong.
Docs: slack.md now distinguishes 1:1 DMs (mention-exempt) from group DMs
(shared surface; obey require_mention/strict_mention/allowed_channels/
free_response_channels; reactions only when @mentioned).
Tests: +7 in test_slack_mention.py (MPIM unmentioned dropped under
require_mention and strict_mention; MPIM mentioned processed; MPIM off
allowed_channels dropped; MPIM in free_response opted in; 1:1 IM still exempt;
reaction guard drops unmentioned MPIM). Updated _would_process to model the
is_one_to_one_dm gating + strict_mention. 72 passed.
MoA per-turn latency is dominated by advisor GENERATION: turn wall time
correlates ~0.88 with output tokens and ~-0.03 with input tokens (measured over
52 turns). Each turn waits for the slowest advisor to finish writing, and
advisors were uncapped — writing multi-thousand-token essays the aggregator
only needs the gist of.
Add an opt-in per-preset reference_max_tokens knob (mirrors reference_temperature)
that caps ADVISOR output only; the acting aggregator is never capped. Default
None = uncapped, so existing presets are byte-for-byte unchanged (no regression).
Wired through both MoA execution paths (MoAChatCompletions.create and
aggregate_moa_context).
E2E: same task, closed preset uncapped vs reference_max_tokens=600 -> 59s to 33s
(~44% faster), final answer identical/correct.
- hermes_cli/moa_config.py: _coerce_int_or_none helper + reference_max_tokens
in _normalize_preset/_default_preset/flattened view
- agent/moa_loop.py: read preset.reference_max_tokens, pass to reference fan-out
- agent/conversation_loop.py: pass reference_max_tokens on the per-turn path
- tests + docs
The model could pass `toolsets` (top-level and per-task) to delegate_task,
letting it choose which toolsets a subagent got. Toolset selection is a
capability-scoping decision the model should not control; subagents inherit
the parent's enabled toolsets, period.
- Remove `toolsets` from the delegate_task() signature, the registry handler,
the top-level + per-task JSON schema, and the live dispatch path
(run_agent._dispatch_delegate_task — this forwarded it on every model call).
- Single-task and per-task child builds now pass toolsets=None so
_build_child_agent resolves to pure parent inheritance.
- Drop the now-dead _SUBAGENT_TOOLSETS / _TOOLSET_LIST_STR schema-hint block.
- _build_child_agent keeps its internal toolsets param + intersection helpers
(internal API; fed the inherited value only).
- Tests: schema assertions flipped to assertNotIn; added a regression test
proving the dispatch path never forwards a smuggled model `toolsets`.
- Docs: update delegate_task signature refs in the autonomous-ai-agents skill.
Live DM testing showed a reply to a DM cron brief did NOT continue the job.
Root cause: for a 1:1 DM the governing knob is dm_top_level_threads_as_sessions
(default True), NOT reply_in_thread / cron_continuable_surface. Under the
default, each top-level DM keys to a per-message session (…:dm:<chat>:<ts>),
so a reply mints a new ts and can never converge with the flat …:dm:<chat>
session the cron seed creates.
A 1:1 DM has no thread-vs-timeline split, so "in_channel" has no coherent
meaning for a DM — cron_continuable_surface is a channel concept and is a
no-op for DMs. DM continuation is governed entirely by
dm_top_level_threads_as_sessions:
- false → all top-level DMs share …:dm:<chat> → seed + reply converge → works
- true (default) → per-message sessions → no continuation (cron or interactive)
Option A (chosen): document the requirement; no code change (the flat-DM seed
from the prior commit already lands correctly when the knob is false). Adds a
":::note 1:1 DMs" admonition to cron.md + the zh-Hans mirror.
Verification (real inbound handler, not a hard-coded assumption — the mistake
that made the earlier DM E2E falsely pass): tests/manual/cron_inchannel_dm_e2e.py
drives the REAL _handle_slack_message for a top-level DM under both knob values
and asserts false→converges (…:dm:D_TESTDM == seed), true→diverges
(…:dm:D_TESTDM:<ts>). See decisions.md D9.
Add a per-platform `cron_continuable_surface` extra key
(`thread` default | `in_channel`) so a continuable cron job can deliver
FLAT into a Slack channel — no dedicated thread — and still be
replied-to. In `in_channel` mode the scheduler skips the thread-open
branch (leaves `thread_id=None`); the shipped origin-mirror then seeds
the `(slack, chat_id, None)` shared-channel session — the same bucket
`reply_in_thread: false` routes inbound channel replies to — so a plain
channel reply continues the job in context.
Design: specs/cron-inchannel-continuable (D1–D7, F5). Model B
(shared-channel session), NOT anchoring to the delivery `ts` — on Slack
replying to a specific message IS threading, so a `ts` anchor would only
relocate the thread, never deliver true threadless continuable.
- gateway/platforms/base.py: `supports_inchannel_continuable` capability
flag (default False → unsupported platforms fail SAFE to `thread`).
- plugins/platforms/slack/adapter.py: flag=True; `_cron_continuable_surface()`
resolver (coerces to the two-value enum); `_warn_if_inchannel_without_flat_reply`
connect-time warning (D5: warn, not hard-require — the misconfig fails safe).
- gateway/config.py: shared-key bridge line (top-level OR nested config).
- cron/scheduler.py: read the key generically from platform config, gate
the `in_channel` branch on the adapter capability flag, skip thread-open.
No new seed function (reuses the existing mirror — G6).
Pairing (docs): `in_channel` + `reply_in_thread: false` +
`require_mention: false` (or a free-response channel). Missing
`reply_in_thread: false` fails safe to a threaded continuation.
Gateway-side config flag — `/restart` to apply; NO Slack app reinstall.
Tests (from inside the worktree, PYTHONPATH=$PWD):
- +6 cron scheduler tests (in_channel skips thread-open; seeds flat
channel session with thread_id=None; thread-mode regression;
fail-safe on unsupported platform; value coercion). Prove-fail:
removing the `and not in_channel_surface` guard turns the two
load-bearing tests RED; restore → GREEN.
- +10 slack resolver/capability/warning tests; +2 config-bridge tests.
- tests/manual/cron_inchannel_e2e.py: offline E2E driving BOTH real
legs (delivery seed + inbound reply keying) → both converge on
(slack, C, None).
- No regressions: test_slack.py 216 passed alone; broader sweep green
(4 pre-existing cross-file-ordering failures reproduce identically on
pristine origin/main).
Docs: cron.md + slack.md + zh-Hans mirrors of both.
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.
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.
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.
`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)
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.
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
