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.
Cut steady-state Computer Use latency without changing default behavior
or waiting on cua-driver:
- Cap screenshots via set_config(max_image_dimension) on session start
(config: computer_use.max_image_dimension, default 1456)
- Cache aux-vision routing per (provider, model) so captures skip
repeated load_config()
- Add computer_use.capture_after_mode (default som) so users can opt
follow-ups down to ax (elements only) for speed
Auto-detect now disables the cursor overlay on darwin as well as
headless/WSL2 Linux. After start_session, also call
set_agent_cursor_enabled(false) when the policy is on so older drivers
without --no-overlay still tear the overlay down.
Co-authored-by: David Metcalfe <80915+DavidMetcalfe@users.noreply.github.com>
cua-driver's cursor overlay rendering loop can consume CPU indefinitely
when idle (#28152, #47032). On Linux/WSL2, the overlay serves no visual
purpose and the rendering path is the primary source of idle CPU usage.
Add computer_use.no_overlay config option (default: auto-detect) that
passes --no-overlay to cua-driver when enabled. Auto-detection disables
the overlay on Linux (covers WSL2, headless, containers) where it has no
benefit, and keeps it enabled on macOS/Windows where it is visually
useful.
Refs: #28152, #47032
Supersedes #52948 and #67402. Closes#52945.
Standalone hermes dashboard/serve was trusting HERMES_WEB_DIST and
HERMES_SERVE_HEADLESS inherited from a Desktop Electron parent, which
could serve the packaged desktop renderer ("Desktop IPC bridge is
unavailable") or disable the SPA. Drop only Electron-packaged WEB_DIST
paths (app.asar*) when HERMES_DESKTOP!=1, and clear inherited headless
for non-serve launches, while preserving caller-managed custom dist
overrides and the desktop-spawned backend path.
Co-authored-by: Bartok9 <danielrpike9@gmail.com>
Co-authored-by: Commander <commander@tianji.local>
Adds the missing write path for the per-task model_override column (which
was previously only settable via manual SQL) and pairs it with a
provider_override so cross-provider switches resolve correctly:
- kanban_db: provider_override column (+migration), set_model_override()
with model_override_set event, create_task(model_override=,
provider_override=), dispatcher spawns worker with -m <model>
[--provider <name>]
- dashboard: Model row in the task drawer — dropdown fed by a new
/model-options endpoint (build_models_payload substrate, provider-grouped,
free-text fallback), PATCH + bulk model override support
- CLI: kanban create --model/--provider, new kanban set-model subcommand,
show prints the provider
- agent tools: kanban_create accepts model/provider; show/list expose
provider_override
Rate-limit recovery flow: override is settable on running tasks and takes
effect on the next dispatch, without touching the worker profile's config.
* test(clarify-gateway): cover signature, timeout fallback, and notify paths for 100% coverage
Fixes#36531
(cherry picked from commit 5265dfe2f5)
* fix(clarify): one canonical timeout across CLI, TUI/desktop, and gateway
The clarify wait timeout was resolved three different (wrong) ways:
- CLI (`cli.py`, `hermes_cli/callbacks.py`) read a non-existent top-level
`clarify.timeout`, so it always fell through to a hardcoded 120s instead of
the canonical `agent.clarify_timeout` (default 3600) the gateway uses (#42969).
- The TUI/desktop bridge called `_block("clarify.request", …)` with no timeout,
so it used the hardcoded 300s `_block` default and ignored config (#51960).
- There was no way to disable the auto-skip: a user who wanted the agent to wait
indefinitely while they think couldn't get it.
Collapse all of this onto a single resolver:
- `tools.clarify_gateway.resolve_clarify_timeout(config)` is the one source of
truth. Order: explicit legacy `clarify.timeout` (back-compat) → canonical
`agent.clarify_timeout` → 3600. `<= 0` is preserved verbatim as "unlimited".
- CLI, callbacks, and the TUI bridge (`_clarify_timeout_seconds`) all route
through it, so the three surfaces can't drift.
- `<= 0` means unlimited everywhere: `wait_for_response` and `_block` drop the
deadline (heartbeat still fires), and the CLI hides its countdown.
Tests: resolver order / default / non-numeric / unlimited-sentinel; an
unlimited `wait_for_response` blocks until resolved rather than auto-skipping;
the TUI clarify bridge passes the configured timeout to `_block`.
Supersedes #42974 (CLI key), #51993 (TUI honors config), and #68986 (unlimited
wait); folds in #52031 (clarify_gateway coverage).
Co-authored-by: liuhao1024 <liuhao1024@users.noreply.github.com>
Co-authored-by: lkevincc0 <lkevincc0@users.noreply.github.com>
Co-authored-by: theone139344 <theone139344@users.noreply.github.com>
Co-authored-by: baauzi <baauzi@users.noreply.github.com>
---------
Co-authored-by: Christopher-Schulze <210261288+Christopher-Schulze@users.noreply.github.com>
Co-authored-by: liuhao1024 <liuhao1024@users.noreply.github.com>
Co-authored-by: lkevincc0 <lkevincc0@users.noreply.github.com>
Co-authored-by: theone139344 <theone139344@users.noreply.github.com>
Co-authored-by: baauzi <baauzi@users.noreply.github.com>
Classic /model confirmation already threaded custom_providers into the
context display, but the shrink-warning path did not. Probe-down then
matched the hardcoded "qwen" catalog (131072) and falsely warned that a
1M custom endpoint had shrunk — while the status bar still showed 1M.
Pass the same fresh inventory list used by switch_model/TUI (with
agent-snapshot fallback), and fall back to agent._custom_providers inside
merge_preflight_compression_warning when the kwarg is omitted.
Port of the Slack half of #13855 (by @kshitijk4poor), reimplemented against
the plugin adapter (the original PR targets the deleted
gateway/platforms/slack.py and six other legacy adapters).
Channels listed in slack.require_mention_channels (config.yaml) or
SLACK_REQUIRE_MENTION_CHANNELS ALWAYS require an explicit @mention, even
when require_mention is false globally or the channel is in
free_response_channels — the opposite direction of free_response_channels.
Instead of duplicating the PR's inline reply-to-bot-thread/mentioned-thread/
session checks, the forced channel falls through to the SAME decision chain
as normal mention gating, so all five wake checks in
_should_wake_on_unmentioned_message keep applying (single decision path).
Credit: adapted from #13855 by @kshitijk4poor (Slack half only; the other
platform halves target deleted legacy adapters and are out of scope for
this cluster).
Once the bot is @mentioned in a Slack thread it auto-follows and replies
to every later message in that thread, including ones a human addresses to
another human (e.g. "@rasha check this out"). The bot butts in.
Add slack.ignore_other_user_mentions (env SLACK_IGNORE_OTHER_USER_MENTIONS,
default off). When on, a channel/thread message whose first token @mentions
someone other than the bot is treated as addressed to that person and the
bot stays silent unless it is also mentioned. This is Slack parity for the
Discord option of the same name (#33501), adapted to Slack's thread model:
the trigger is a leading mention ("addressed to"), so a message that merely
references another user mid-sentence still reaches the bot.
The gate sits ahead of the free-response / require_mention ladder so it also
overrides the mentioned-thread auto-follow. DMs are never filtered.
