New sessions.auto_archive / auto_archive_days config: soft-hide (never
delete) sessions with no activity for N days, aging on last activity
rather than creation so an old-but-active chat is spared. Sweeps are
throttled through state_meta and fire from CLI startup, gateway startup
+ hourly housekeeping, and the serve/dashboard backend (opportunistic
on session list + an hourly lifespan ticker), so every surface honours
one setting.
A new pinned column (declaratively migrated) exempts sessions from the
sweep; PATCH /api/sessions/{id} accepts pinned and flips the whole
compression lineage as a unit, mirroring set_session_archived.
Widens the salvaged .env injection fix (#50315) to the sibling site it
missed: hermes_cli/memory_setup.py::_write_env_vars is the near-identical
core writer the openviking plugin's copy was forked from, is fed directly
by interactive _prompt() (pasted API keys), and is reused by other memory
plugins (e.g. supermemory imports it). A pasted secret with an embedded
CR/LF injected an arbitrary extra KEY=VALUE line on the next read.
Same _env_line_safe() treatment as the plugin writer (strip every
str.splitlines() separator + NUL), matching config.save_env_value's
existing newline strip. Mutation-checked: reverting the sanitizer makes
the new regression tests fail.
Flips the default fan-out cadence from per_iteration (advisors re-run on
every tool iteration, multiplying advisor spend by tool-loop depth) to
user_turn (advisors run once on the first message of each user turn; the
acting aggregator works the rest of the tool loop with that turn's
advice). Until per-mode benchmarks justify a costlier default, MoA
defaults to the cheapest, lowest-impact cadence (#67199).
One default for everyone — no split legacy/new-preset semantics; presets
that want per-step advising set fanout: per_iteration explicitly. All
three modes (user_turn / per_iteration / every_n:N) remain selectable;
every_n:1 still collapses to per_iteration (semantic identity), while
unparseable values now fall to user_turn (the default).
Docs updated with a default-change note; the per-iteration rerun test
pins its mode explicitly.
Co-authored-by: skyer-flyyy <188930297+skyer-flyyy@users.noreply.github.com>
Make the x_search / xurl boundary explicit in the skill, feature docs,
toolset metadata, setup note, and reference pages, while keeping the
model-facing x_search schema generic (no static xurl name).
Regression tests assert behavioral routing invariants rather than frozen
prose snapshots. Drop the stale CI-only plugin/hangup hunks already on
main so this rebases cleanly.
skills/computer-use/SKILL.md sat at the root of the bundled skills
tree as an uncategorized single-skill directory. Move it to
skills/autonomous-ai-agents/computer-use/ alongside claude-code,
codex, opencode, and hermes-agent.
- git mv skills/computer-use -> skills/autonomous-ai-agents/computer-use
(history preserved)
- root-level-skill docstring examples (commands.py,
generate-skill-docs.py) now use a generic placeholder instead of
naming a specific skill, since categorizing root-level skills is
ongoing
- docs: move the bundled page to autonomous-ai-agents-computer-use,
update sidebars.ts, skills-catalog.md, and the two skill-path
references in features/computer-use.md
E2E validated: fresh sync_skills() copies to the new nested path;
existing installs with the old flat copy keep it untouched (manifest
name-keyed, hash unchanged -> skipped, no duplicate);
_get_category_from_path resolves 'autonomous-ai-agents'; docusaurus
build green; 396 targeted tests pass.
skills/dogfood/SKILL.md sat at the root of the bundled skills tree,
making it one of the few uncategorized skills (Discord /skill
autocomplete listed it under 'uncategorized'; hermes_cli/commands.py
cited it as the example). Move it to
skills/software-development/dogfood/ alongside the other QA/testing
skills (test-driven-development, systematic-debugging,
requesting-code-review).
- git mv skills/dogfood -> skills/software-development/dogfood
(history preserved)
- fix test fixture path in tests/tools/test_browser_console.py
- update root-level-skill docstring examples (commands.py,
generate-skill-docs.py) to cite computer-use, which is still root-level
- drop 'dogfood' from the category list in hermes-agent-skill-authoring
SKILL.md (en + zh-Hans docs mirrors)
- docs: regenerate/move the bundled page to
software-development-dogfood (en + zh-Hans), update sidebars.ts,
skills-catalog.md, and the adversarial-ux-test related-skills link
E2E validated: fresh sync_skills() copies to the new nested path;
existing installs with the old flat copy keep it untouched (manifest is
name-keyed, hash unchanged -> skipped, no duplicate);
_get_category_from_path resolves 'software-development'; docusaurus
build green.
Routine automatic compression stays silent-by-design on chat platforms
(default unchanged, byte-identical). New opt-in config key
compression.progress_notices (bool, default false) opens a gate on the
gateway noise filter (_prepare_gateway_status_message) that lets ROUTINE
compression progress statuses through to chat surfaces.
- Membership is derived from the #69550 status template constants in
agent/conversation_compression.py (compiled to a literal-escaped regex,
never re-inlined wording), so unrelated noisy statuses (aux failures,
provider retry/rate-limit chatter) stay suppressed even when enabled.
- The compaction completion notice (COMPACTION_DONE_STATUS, #69546
lifecycle 'compacted' edge) already flows through the status path and
passes the filter — no new emit site needed.
- Config wired everywhere: hermes_cli/config.py DEFAULT_CONFIG,
cli-config.yaml.example, gateway raw-YAML read (live, mtime-cached),
gateway hot-reload cache-busting key list, website configuration docs.
- Failure notices and manual /compress feedback remain always-visible;
VISIBLE_COMPRESSION_MESSAGES and emit sites untouched.
Design by @havok-training (issue #52995).
Follow-ups for salvaged #53784:
- reference_timeout now defaults to None = no per-preset override, so the
reference fan-out inherits auxiliary.moa_reference.timeout (900s default)
via call_llm's own per-task timeout resolution. The PR's 30.0s default
would have cut off long-thinking advisors mid-response, and its 300s max
cap capped legitimate explicit values — both removed. Explicit per-preset
values are still honored as-is.
- _is_failed_reference also treats '[skipped: …]' recursion-guard notes as
internal sentinels, keeping them out of both aggregator prompts.
- Dashboard/desktop TS types updated to number | null; web_server validator
accepts null/empty as 'inherit'.
From windowless processes (the pythonw gateway and the kanban workers it
spawns), three spawn paths flash visible console windows on Windows:
1. tools/env_probe.py::_run() ran its interpreter/pip probes
(python3 / python / pip / 'python3 -m pip' / PEP-668 check, ~5 per
worker start) without creationflags — one console flash per probe.
2. tools/lazy_deps.py had four spawn sites with the same defect:
'uv pip install', the 'pip --version' probe, ensurepip, and the
pip install fallback.
Both now pass creationflags=windows_hide_flags() (CREATE_NO_WINDOW on
Windows, 0 on POSIX) — stdio capture still works because the child is
hidden, not detached.
3. CPython 3.11's platform.win32_ver() unconditionally calls
_syscmd_ver(), which runs 'cmd /c ver' via
subprocess.check_output(shell=True) with no window suppression. Any
dependency touching platform.uname()/version()/platform() at import
time flashes one 'cmd' window per windowless process. New helper
_subprocess_compat.suppress_platform_ver_console() (Windows-only,
never raises) stubs platform._syscmd_ver so win32_ver() falls back to
sys.getwindowsversion().platform_version — verified byte-identical
platform.platform() output on CPython 3.11
('Windows-10-10.0.26100-SP0' either way). Called at the top of
hermes_cli/main.py, right after the hermes_bootstrap guard, before
heavyweight imports.
Verified on Windows 11 by polling EnumWindows at ~15 ms and attributing
new visible HWNDs to the suspect process tree (conhost child presence is
NOT evidence of a visible window — it appears even with
CREATE_NO_WINDOW). Tests: tests/tools/test_windows_native_support.py,
test_env_probe.py, test_lazy_deps.py, test_lazy_deps_durable_target.py —
153 passed; the 3 failures are pre-existing on upstream/main in a
Windows environment (POSIX-only assertions and NTFS chmod semantics).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Adds moa.privacy_filter ('' | display | full, default off — issue #59959):
- display: redact user-visible surfaces only (reference blocks emitted to
the UI + saved MoA trace records, including per-advisor full input/output
and the aggregator-input copy); the aggregator sees raw advisor text so
synthesis quality is unaffected.
- full: additionally redact the advisor text injected into the aggregator
prompt, on both the persistent facade path and the one-shot /moa
synthesis path (the issue's literal ask). Legacy boolean true maps here.
Secret/credential shapes (API-key prefixes, JWTs, private keys, DB
connection strings) are delegated to the central redactor
(agent.redact.redact_sensitive_text, force=True + code_file=True); the MoA
filter adds only email and clearly delimited phone-number patterns. No
bare 10-digit matching: line numbers, timestamps, epoch values, git SHAs,
IPs, versions, and source-code assignments in code-review-shaped advisory
text pass through byte-identical. The reference cache always holds raw
text — redaction happens at each consuming surface, so a mid-session mode
change never leaks or double-redacts.
Reworked from PR #60463: replaced its hand-rolled pattern list (which
matched bare digit runs and re-implemented key shapes) with central-
redactor reuse + safe patterns, and split the single boolean into
display/full modes. Credited for the feature framing.
Co-authored-by: webtecnica <75556242+webtecnica@users.noreply.github.com>
Extends the fanout enum with 'every_n:<N>' (N >= 2): advisors run on the
first iteration of each user turn and every Nth tool iteration after it;
off-cadence iterations REUSE the cached guidance from the last on-cadence
run via the same cache mechanism the user_turn fanout uses, so the
aggregator still gets advice on every step. The cadence counter is scoped
per user turn (resets on a new user message) and only advances when the
advisory state actually changes, so streaming retries never consume a
cadence slot. Mapping form {mode: every_n, n: N} normalizes to the
canonical string. Unknown/degenerate values fall back to per_iteration.
Addresses issue #63393 (advisor fan-out multiplies turn latency/cost by
the tool-iteration count). Redesigned from PR #63448: the submitted shape
skipped references entirely on off-cadence iterations (aggregator ran
advice-less); this version keeps the last advice in play, credited for
the idea and cadence framing.
Config-gated, default-off (default fanout remains per_iteration).
Co-authored-by: webtecnica <75556242+webtecnica@users.noreply.github.com>
Follow-up fixes on top of the salvaged #22566 mechanism:
- N-collector now counts only REAL actionable user turns via
_is_actionable_user_turn + _is_synthetic_compression_user_turn —
the same filter pair _find_last_user_message_idx uses post-#69291.
The contributor's bare role=='user' + _is_context_summary_content
check let blank platform echoes and continuation/todo rows consume
N slots, silently degrading the guarantee.
- Default flipped 3 -> 1 (behavior-preserving): a default of 3 was
measured to change the tail cut on transcripts whose budget covers
only the last turn. min_tail_user_messages=1 delegates to the
existing single-user anchor; N>1 is opt-in, and the call site is
gated so the default path is byte-identical to main.
- Hardened config parse in agent_init (bool rejected, fractional
floats rejected, floor 1) matching the max_attempts parser shape.
- Wired the recurring external-PR config gaps: hermes_cli/config.py
DEFAULT_CONFIG + cli-config.yaml.example (PR only had cli.py).
- Regression tests: blank echoes / synthetic rows don't count toward
N; tool-call/result pairs never split by the N-boundary (no-orphan
both directions); N-guarantee wins over tail_token_budget and the
_MAX_TAIL_MESSAGE_FLOOR (floor is a minimum, not a cap); default
parity pin; DEFAULT_CONFIG pin.
Community verification of #56688 (zmack12344321) found two follow-up gaps
that kept Vertex invisible in the /model menu even after registry
registration:
1. hermes_cli/model_switch.py: list_authenticated_providers() had a
credential gate hard-coded to API keys (with an aws_sdk special case
only) — add a vertex branch using has_vertex_credentials(), mirroring
the aws_sdk shape.
2. hermes_cli/models.py: Vertex's OpenAI-compatible endpoint has no
/models listing route, so without a curated _PROVIDER_MODELS entry the
picker only ever showed the current model — add a Gemini curated list.
Follow-up to #56688.
The Vertex AI provider (added same-day, commit c73e74386) was never added to
either of the two provider registries that agent/auxiliary_client.py and the
MoA slot-resolution chain depend on, breaking Vertex outside the main
conversation loop:
1. hermes_cli/auth.py::PROVIDER_REGISTRY had no "vertex" entry. The
plugin-auto-extend loop that normally fills gaps explicitly skips
non-api_key auth types (`if _pp.auth_type != "api_key": continue`), and
Vertex was never hand-declared like "bedrock" is. Because
resolve_provider_client() in agent/auxiliary_client.py gates everything
on `pconfig = PROVIDER_REGISTRY.get(provider)` and returns (None, None)
immediately when pconfig is None, its `elif pconfig.auth_type == "vertex"`
branch was permanently dead code — every auxiliary Vertex call (vision,
title generation, reflection, context compression, MoA reference/
aggregator slots) failed outright, not just a MoA-specific edge case.
2. hermes_cli/providers.py::HERMES_OVERLAYS also had no "vertex" entry, so
hermes_cli.providers.get_provider("vertex") returned None. This backs
_preserve_provider_with_base_url() in agent/auxiliary_client.py, which a
MoA slot's resolved (base_url, api_key) pair needs to keep its "vertex"
identity instead of silently collapsing to "custom" — losing the
identity _refresh_provider_credentials() needs to re-mint an expired
OAuth2 token (~1h lifetime) on a 401, and permanently breaking every
subsequent call in that MoA preset for the rest of the session.
Fix mirrors the existing "bedrock"/aws_sdk entries in both registries
exactly, plus adds a "vertex" branch to _refresh_provider_credentials() (it
had branches for openai-codex/nous/anthropic/xai-oauth but not vertex,
so a 401 fell through to `return False` without evicting the stale cached
client).
- hermes_cli/auth.py: hand-declared vertex ProviderConfig(auth_type="vertex")
in PROVIDER_REGISTRY, matching bedrock's shape.
- hermes_cli/providers.py: vertex HermesOverlay(auth_type="vertex") in
HERMES_OVERLAYS + "Google Vertex AI" label override.
- agent/auxiliary_client.py: vertex branch in _refresh_provider_credentials
that re-mints the token via get_vertex_config() and evicts the stale
cached client.
- 8 new regression tests across tests/hermes_cli/test_vertex_provider.py and
tests/agent/test_auxiliary_client.py: registry membership, end-to-end
resolve_provider_client("vertex", ...) building a working client (proving
the previously-dead branch is now reachable), and the 401-refresh/cache-
eviction path.
MoaConfigPayload does not declare save_traces or trace_dir, so
set_moa_models() overwrites cfg["moa"] with a dict that lacks these
hand-edited keys. Use dict.update() to merge instead of replace.
Fixes#58819
When reference_models is stored as a JSON string (e.g. from hermes moa
configure or hand-edited config.yaml), _normalize_preset silently
falls back to hardcoded defaults because the string fails both
isinstance(x, list) and isinstance(x, dict) checks.
Add json.loads() parsing before the type checks so both formats work.
MoA (Mixture of Agents) is a legitimate internal provider used by
Diagnosis presets and multi-model aggregation. When a MoA preset sets
model.provider to 'moa', hermes doctor incorrectly reports it as
'unrecognised' and suggests changing it, which would break the MoA setup.
Add 'moa' to the known_providers set alongside 'openrouter', 'custom',
and 'auto' so doctor recognises it as valid.
Fixes#58759
The phase-1 tool-result prune only runs inside compress(), which fires
near 50% of the context window, so it never triggers on large-window
models; old tool outputs then ride in history and are re-sent every turn.
Add prune_tool_results_only(): the same no-LLM prune on a separate, low
proactive_prune_tokens trigger, run as an elif to the compression branch.
Opt-in (default 0), protects the recent tail by message count.
Add the method to the ContextEngine base as a no-op default so pluggable
engines inherit it safely (the post-tool-call path never AttributeErrors on
a non-built-in engine); the built-in compressor supplies the real prune.
Register both keys under the top-level compression config with defaults and
document them.
MoA reference_max_tokens is preset-level — one cap for all reference
models. When mixing a verbose model with a terse one, a single cap is
either too tight for the terse model or too loose for the verbose one.
Now each reference slot can optionally carry its own max_tokens:
reference_models:
- provider: openrouter
model: deepseek/deepseek-v4-pro
max_tokens: *** # per-slot cap, overrides preset-level
- provider: openai-codex
model: gpt-5.5
# no max_tokens → falls back to preset-level reference_max_tokens
_clean_slot (moa_config.py) preserves an optional max_tokens field on
the slot dict, coerced via _coerce_int_or_none. _run_reference
(moa_loop.py) reads slot-level max_tokens first, falling back to the
preset-level cap passed by the caller. Slots without the field are
unaffected — backward compatible.
Type hints on slot-handling functions updated from dict[str, str] to
dict[str, Any] to reflect the now-heterogeneous slot shape.
Add --long-description / --long-description-file to `hermes slack
manifest` so the generated app manifest can carry Slack's
display_information.long_description (175–4,000 characters), with
validation of the length bounds, mutual-exclusion with --slashes-only,
and UTF-8 file input. Also propagate the manifest command's exit status
through cmd_slack so validation failures reach the shell.
Squash of the two commits from PR #65256 — one commit per contributor
on this salvage branch.
Salvaged from #65256
PR #37303 added per-platform streaming defaults and the commit message
explicitly called out "Discord/Slack/etc. only have edit-based streaming
(repeated editMessage), which flickers and is noticeably jankier" — but
only discord.streaming=false was shipped. Slack uses the same edit-based
streaming mechanism and has the same flicker problem, yet it was left to
follow the global switch (default true when streaming is enabled).
Add "slack": {"streaming": False} to DEFAULT_CONFIG["display"]["platforms"]
alongside the Discord default. The same deep-merge semantics apply: a user
who explicitly sets display.platforms.slack.streaming: true keeps their
value unchanged. The dashboard schema gains a slack.streaming toggle
automatically since it is generated from DEFAULT_CONFIG.
Update test_per_platform_streaming_defaults.py to cover slack in all
existing assertions and rename the resolver test to reflect both platforms.
Build the full reaction pipeline on top of the #29916 base:
- Opt-in gate: slack.reaction_triggers (default OFF — reaction events
stay acked-and-dropped so busy channels don't wake the agent on every
emoji). 'true' routes reactions on the bot's OWN messages; an explicit
emoji-name list routes those emojis from any message (handoff flows).
- reaction_removed events now route too, distinguished by the
cross-platform text convention reaction:added:<emoji> /
reaction:removed:<emoji> (matches the Feishu and Photon adapters, so
agents and skills see one shape everywhere).
- Authorization: the reactor becomes the synthesized message's user, so
the early _is_user_authorized gate and allowed_channels whitelist
apply exactly as for typed messages. _hermes_force_process only skips
the mention requirement (a reaction on the bot's own message is
definitionally addressed to the bot), mirroring Feishu/Photon.
- Gateway hooks (#33111 by @johnkattenhorn): every human reaction on a
message item fires reaction:added / reaction:removed through the new
BasePlatformAdapter.set_reaction_handler → GatewayRunner
._handle_reaction_event → HookRegistry.emit, independent of the
routing opt-in. Documented in hooks.md.
- Channel handoff (#45265 by @Kev-fs): slack.reaction_trigger_target
routes the reaction turn to a configured channel (top-level via
_hermes_no_thread_response + reply-anchor suppression in
gateway/platforms/base.py) or C123:<ts> thread.
- Manifest: reaction_removed event subscription added alongside
reaction_added/reactions:read.
- Docs: slack.md Reaction Triggers section; hooks.md event table rows.
Also credits #44508 by @harrisonmedmedmetrics (inbound reaction_added
handling — same plumbing class, superseded by this consolidated shape).
Co-authored-by: johnkattenhorn <john.kattenhorn.personal@gmail.com>
Co-authored-by: Kev-fs <kevin@fleetsmarts.net>
Co-authored-by: harrisonmedmedmetrics <harrison@medmetricsrx.com>
Slack reaction_added events were explicitly acked and dropped, so a user
reacting to a bot message (👍 to approve, ✅ to acknowledge) produced
nothing. Forward them through the normal message pipeline as synthesized
MessageEvents whose text is the reaction emoji (translated to unicode
for common names), keeping the downstream auth gate, thread-context
fetch, dedup, and skill routing unchanged.
- Self-reactions and non-message items are dropped; reactions on
messages not sent by this bot are dropped (Feishu-adapter parity).
- The reacted-to message's thread parent becomes the synthesized
thread_ts so the reaction lands in the same session as a reply would.
- Manifest gains reactions:read scope + reaction_added bot event.
Salvaged from PR #29916 by @bpross.
Related: #33111, #44508, #45265 (same cluster).
* fix(desktop): hide persisted agent-only history scaffolding
Filter verification-stop nudges and context-compaction handoffs at the
stored-history mapper boundary. Preserve a real reply when a compaction
handoff shares its stored message.
* test(desktop): build persisted E2E sessions through the real agent
Drive tui_gateway.entry over its stdio JSON-RPC transport against the mock
provider, wait for real completion events, and persist normal session history
through AIAgent and SessionDB. Migrate resume and hidden-history coverage,
including real compression and live verify-on-stop scaffolding, then remove
the unused direct SessionDB import scripts.
* fix(desktop): use the provisioned Python for real-session E2Es
Run the stdio gateway through uv's synced project environment outside the
Nix dev shell, while retaining the fully provisioned Nix Python when the
shell advertises HERMES_PYTHON_SRC_ROOT.
* fix(nix): expose the provisioned Python environment to uv
Mark the Nix-built Python environment active in the dev shell so the shared
E2E session builder can always run through `uv run --active --no-sync`.
* fix(timeline): persist typed display events
* fix(timeline): strip display-only fields from provider payloads, preserve through rewrites, fix /resume display history
Three review findings from PR #69771:
1. Provider payload leak: display_kind and display_metadata were forwarded
to the provider API as unknown message fields. Strict OpenAI-compatible
backends can reject the next request after a model switch or resumed
typed event. Strip both from the per-request api_msg copy in
conversation_loop alongside the existing api_content pop.
2. Rewrite/import data loss: _insert_message_rows preserved display_kind
but silently dropped display_metadata. After replace_messages,
archive_and_compact, or session import, async-delegation completion
events lost their task counts and fell back to generic display text.
Add display_metadata to the INSERT columns and bind tuple.
3. CLI /resume stale recap: startup --resume A set _resume_display_history
from A's lineage. A subsequent in-session /resume B loaded B only into
conversation_history via get_messages_as_conversation, leaving the stale
A display projection. _display_resumed_history preferentially read the
stale attribute, showing A's recap for B. Switch /resume to
get_resume_conversations and update _resume_display_history alongside
conversation_history.
Tests: 890 Python (5 files), 35 desktop TS — all green.
* feat(tui): render typed display events as ◈ markers in the Ink TUI
The TUI was not handling display_kind at all — model switch markers and
async delegation completions rendered as opaque user messages with the
full [System: ...] text, and hidden compaction handoffs were visible.
Wire display_kind through the full TUI chain:
- _history_to_messages (tui_gateway/server.py) forwards display_kind
and display_metadata to the gateway transcript payload.
- GatewayTranscriptMessage (gatewayTypes.ts) gains both fields.
- Msg.kind (types.ts) gains 'event' value.
- toTranscriptMessages (domain/messages.ts) maps:
- hidden → skip entirely
- model_switch → event "model changed"
- async_delegation_complete → event "N background agents finished"
(or "background agent work finished" without metadata)
- messageGroup (blockLayout.ts) routes event to its own group, with
SELF_SPACED + PAINTS_TRAILING_GAP so it owns its margins.
- messageLine.tsx renders event-kind as a dim ◈ marker with no gutter,
matching the CLI's ◈ event rendering.
- 4 new TUI tests for hidden/model_switch/async_delegation mapping.
TUI typecheck: clean. TUI lint: 0 errors (2 pre-existing warnings).
TUI tests: 9 passed (1 pre-existing failure on main, unrelated).
A user who configured a provider only inside a MoA preset (advisor or
aggregator slot) has explicitly opted into that provider — the consent
gate (is_provider_explicitly_configured) now scans moa.reference_models,
moa.aggregator, and all moa.presets.* slots, so Claude Code OAuth pool
seeding and the auxiliary auto-fallback chain treat MoA-only Anthropic
users consistently with model.provider users.
Salvaged from PR #57778 (trimmed): the auxiliary_client fallback half of
the original PR was independently landed on main in ddd3a2d247 and is
dropped here; a secret-scrubber artifact in the gate test fixture is
restored to the real placeholder token.
Extends the desktop backend's root-cause fix (aa2ae36c3f) to all remaining
console-less parent launch paths. The Windows console-flash class
(#54220/#56747) is governed by the PARENT's console: a DETACHED_PROCESS or
pythonw.exe daemon has no console, so every console-subsystem descendant
(git, gh, cmd, node, wmic, powershell) allocates its own visible conhost —
one flash per spawn, unreachable by any per-call-site CREATE_NO_WINDOW
sweep. Worse, MSDN specifies CREATE_NO_WINDOW is IGNORED when combined
with DETACHED_PROCESS, so the hide bit in the old detach bundle was dead.
Changes:
- _subprocess_compat: drop DETACHED_PROCESS from windows_detach_flags()
and windows_detach_flags_without_breakaway(); the daemon now owns a
single hidden console (CREATE_NO_WINDOW) that all descendants inherit.
- gateway_windows: _resolve_detached_python() returns the venv console
python.exe (no pythonw/base-interpreter detour — the uv-shim flash
premise only held while DETACHED_PROCESS was masking the hide bit);
UAC handoff launches console python under SW_HIDE; cmd/vbs launchers
render console python (vbs runs it window-style 0).
- gateway/run.py: restart watcher keeps sys.executable instead of
swapping in GUI-subsystem pythonw.
- web_server: dashboard actions spawn sys.executable (already carries
windows_detach_flags()).
Tests updated to pin the new invariants, including an explicit
DETACHED_PROCESS-must-stay-out regression guard.
Decompose children inherit the root's literal workspace_path (#37172),
so every sibling of a worktree-kind root points at the SAME checkout.
_resolve_worktree_workspace's existing-checkout shortcut then reuses
that directory on whatever branch is currently checked out, ignoring
the task's own branch_name. Net effect: sibling workers — which can be
promoted and dispatched concurrently — run in one directory on the
first sibling's branch, with no lock. Work lands on the wrong task's
branch (provenance corruption) and concurrent siblings trample each
other's index/tree.
Fix, two layers:
- decompose_triage_task: worktree-kind children no longer inherit the
root's literal path; each child materializes its own
<repo>/.worktrees/<child-id> at dispatch (dir/scratch inheritance
unchanged — children legitimately share those).
- _resolve_worktree_workspace: when the requested path is an existing
checkout of a DIFFERENT branch, fall back to a fresh
<repo>/.worktrees/<task-id> instead of silently reusing it (heals
rows that already carry a shared path). Same-branch reuse and the
no-repo/own-path degenerate cases keep the legacy behaviour.
Tests: tests/hermes_cli/test_kanban_worktree_isolation.py (5); full
test_kanban_db.py + test_kanban_decompose_db.py suites pass unchanged.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Two related races in credential-pool cooldown state:
1. Lost update across processes: write_credential_pool merged only
entries missing from the caller's snapshot; for entries present on
both sides the caller's in-memory copy won wholesale. A process
holding a snapshot taken before another process marked a key
exhausted would, on its next persist (e.g. a round-robin rotation),
write the key back as healthy — erasing the cooldown so every
process resumes hammering a rate-limited key. Merge status fields by
last_status_at recency: adopt the on-disk status only when it is
strictly newer AND still binding (DEAD, or EXHAUSTED with an
unexpired cooldown), and never onto re-authed (token-changed)
entries, so legitimate expiry-clears and fresh logins are preserved.
2. Wrong-key quarantine: when mark_exhausted_and_rotate received an
api_key_hint that matched no entry, it fell through to
current()/_select_unlocked() — on a freshly loaded pool that selects
the NEXT healthy key and benches it for the full cooldown TTL,
punishing an innocent credential. When a hint is provided but
unmatched, rotate without marking anything instead of guessing.
Includes regression tests.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
git stash push --include-untracked exits non-zero when it saved
everything but could not DELETE some swept untracked files from the
working tree (e.g. a root-owned packaging/ directory left behind by a
sudo'd build: 'warning: failed to remove ...: Permission denied').
The updater ran the push with check=True, so this benign partial
failure raised CalledProcessError and aborted the whole update before
it even fetched — reliably, on every run, for any user with an
undeletable untracked path in the checkout.
Fix, both ends of the class:
- _stash_local_changes_if_needed: probe refs/stash before/after the
push. Non-zero push + fresh stash entry = changes are saved; warn,
reset the tracked-side leftovers (they're in the stash), and
continue the update. Non-zero push + NO stash entry = real failure;
keep aborting.
- _restore_stashed_changes: on restore, those same undeletable files
still sit in the tree, so 'git stash apply' exits 1 with 'already
exists, no checkout' even though every tracked change applied and
nothing was lost. Classify that stderr shape (strictly — any other
error line still routes to the conflict path) as restored instead
of resetting the tree and telling the user the restore failed.
Repro'd both halves with real git; behavioral E2E test covers
stash -> checkout -> restore round-trip with an undeletable dir.
Default kanban_create children now keep fresh scratch paths, while explicit dir sharing remains supported and project context resolves to a per-task worktree. Surface resolved workspace fields in create responses/events and cover scratch mutation, nesting, explicit sharing, and project inheritance.
Fixes#67567
The hermes console entry point is hermes_cli.main:main, and main.py imports
dotenv (via env_loader) and yaml (via config) at module level. In the #57828
failure state — a failed lazy backend refresh wiping a core package's import
files while metadata survives — a normal launch crashed while importing
main.py, before _recover_from_interrupted_install() and the recovery markers
from PR #58004 could act.
- hermes_cli/_early_recovery.py: stdlib-only bootstrap repair invoked at the
very top of main.py, before any third-party import. Probes the fragile
core packages via real imports, force-reinstalls broken ones using the
pyproject.toml pins, shares main.py's single-flight recovery lock, and
never clears markers (the confirmed lifecycle stays with the full recovery
path in main.py).
- Probe/repair tables now have one canonical home in _early_recovery, reused
by main.py so the two layers cannot drift.
- Manual --force-reinstall fallback commands now print pinned specs via
_lazy_refresh_repair_specs() instead of bare package names.
- tests: entry-point lifecycle coverage proving a broken dotenv import
crashes main.py without repair and imports cleanly with it, a stdlib-only
import guard for _early_recovery, and unit coverage for marker gating,
lock single-flight, pinned specs, and marker preservation.
Keep .update-incomplete for full .[all] recovery only. Lazy refresh uses
.lazy-refresh-incomplete and clears only after confirmed import probes;
unavailable probes are indeterminate, not healthy (#58004 review).
Keep .update-incomplete across normal hermes.exe launches, heal via
package-only import probes first, and only clear the marker after repair
succeeds (#57828 / #58004 review).
Upgrade pip before lazy refreshes, probe core imports when a lazy
install fails, force-reinstall corrupted packages with pyproject pins,
use package-only install (no shim quarantine) for repair, and keep the
.update-incomplete marker until refresh/repair succeeds (#57828).
The startup pruner only considered directories named hermes-* (the
hermes -w scratch trees), so salvage/review/port lanes created with raw
'git worktree add' accumulated forever — a real checkout reached 117
directories / 26 GB with trees dating back months. Two further leaks:
squash-merged branches' local commits stay unreachable from
refs/remotes/* forever, so the unpushed-commits guard preserved fully
merged scratch trees indefinitely; and preserved trees rotted silently
with no visibility.
- Pruner now covers every directory under .worktrees/ except kanban
task trees (t_<hex>, owned by 'hermes kanban gc'). Named (non
hermes-*) trees get a 3x timeline (72h soft / 9d hard) since they
were created deliberately.
- New _worktree_commits_all_merged_upstream(): git-cherry
patch-equivalence check against origin/HEAD|main|master, bounded at
20 commits ahead, fails safe toward preserve. Lets the pruner reap
trees whose every local-only commit already landed upstream via
squash-merge/cherry-pick.
- Dirty guard now applies at every tier (previously the 24-72h tier
skipped it — it only survived because the unpushed check usually
caught the same trees).
- Trees preserved for unpushed/dirty reasons older than 7 days are
listed in a single WARNING so in-flight work can't rot silently.
- tips.py text updated; 13 new behavior-contract tests.
The PR's inline toolset resolution (checking 'memory' in cli_toolsets
list) produced wrong results for composite toolsets like 'hermes-cli'
which expand to include the memory tool. Replace with the canonical
_get_platform_tools() from tools_config.py which correctly handles
composite toolsets and all edge cases.
Update tests to mock _get_platform_tools instead of raw config.
The 'Built-in: always active' label was a hardcoded string that never
reflected the user's actual configuration. It now shows three separate
indicators, each reading from the real source of truth:
- Memory injection: reads memory.memory_enabled from config.yaml
- User profile: reads memory.user_profile_enabled from config.yaml
- Memory tool: checks if 'memory' is in platform_toolsets.cli
(or defaults to enabled if no explicit list)
Before:
Built-in: always active
After:
Built-in (MEMORY.md / USER.md):
Memory injection: disabled ✗
User profile: disabled ✗
Memory tool: disabled ✗
Hoist the duplicated check_info(source_id) call out of both
if/else branches into a single call after the branch. Remove
trailing whitespace on the blank line after the except block.
Follow-up cleanup for PR #69981.
On vulnerable SQLite (e.g. 3.50.4), do not enable WAL for fresh/non-WAL
shared databases — prefer DELETE instead. Leave existing on-disk WAL
alone (no live downgrade under concurrent gateway/cron openers). Surface
Python/SQLite version details as a doctor warning (#69784).
Two fixes for desktop hands-free voice:
- The live speech session bound to the first assistant bubble with text, so
a tool-calling turn spoke only the opening narration and silently dropped
every later interim AND the final answer. The conversation selector now
aggregates all unspoken assistant bubbles in order (turn-scoped speech);
auto-speak keeps its latest-reply-only behavior.
- The speak-stream WS producer blocked forever on the text queue, so a
narration line with no trailing whitespace ("Let me check.") sat in the
sentence chunker until end-of-turn — spoken long after the tool finished,
with the UI stuck on "Preparing audio…". Mirror the CLI speaker's idle
flush: sentence-terminated buffers flush after 0.5s of producer silence,
anything else after ~2s; open <think> blocks are never flushed.
