PR #49056 set the default to 0, which reverts the #45592 idle-clock fix:
without a periodic invalidate, prompt_toolkit stops repainting the bottom
chrome during idle and the status bar goes stale/disappears after a turn.
Restore 1.0 as the default for everyone. The config knob stays — users on
emulators where the per-second redraw fights auto-scroll (#48309) can set
display.cli_refresh_interval: 0 to opt out.
Commit 6724daa2c added refresh_interval=1.0 to keep the idle clock
ticking, but unconditional 1 Hz redraws in non-fullscreen prompt_toolkit
mode cause terminal emulators (Xshell, iTerm2, Windows Terminal) to
auto-scroll to the bottom on every tick — breaking scroll-up to read
history.
Drive it from display.cli_refresh_interval (0 = disabled, the default)
so users who want the ticking clock can opt in without affecting everyone.
Fixes: #48309
Related: 6724daa2c, 8972a151a
Add platform_hints config so an admin can append to or replace Hermes'
built-in platform hint for a single messaging platform (WhatsApp, Slack,
Telegram, ...) without affecting other platforms. Enables enterprise
managed profiles to steer platform-aware skills (e.g. invoke a custom
table-formatting skill on WhatsApp where Markdown tables don't render)
while leaving Telegram/Slack/CLI behavior unchanged.
- hermes_cli/config.py: document platform_hints in DEFAULT_CONFIG
- agent/agent_init.py: load platform_hints -> agent._platform_hint_overrides
- agent/system_prompt.py: _resolve_platform_hint() applies append/replace
(replace wins; bare string = append shorthand); defensive on bad config
- tests: 16 cases covering append/replace/shorthand/isolation/malformed
Override only affects the platform-hint segment of the system prompt;
SOUL/context/memory tiers and general instructions are unchanged.
When a worker calls kanban_create from inside a session that has a
persistent delivery channel, the originating session is now subscribed
to the new task's completion/block events automatically. The agent
that dispatched the task gets notified instead of having to poll.
- Gateway sessions (telegram/discord/slack): HERMES_SESSION_PLATFORM +
HERMES_SESSION_CHAT_ID ContextVars, set by the messaging gateway.
- TUI / desktop sessions: HERMES_SESSION_KEY in the subprocess env.
The TUI notification poller keys on platform='tui' + chat_id=<key>.
- CLI / cron / test: no persistent channel, no subscription.
Gated by kanban.auto_subscribe_on_create in config.yaml (default True).
Disable to mirror pre-feature behaviour — users who want explicit
kanban_notify-subscribe calls per task can set it to false. This
config gate addresses the design concern that got PR #19718 reverted
upstream (unconditional implicit auto-subscribe on tool-driven
kanban_create was too aggressive for orchestrator users).
HERMES_SESSION_ID is intentionally not a fallback channel — it is
set by ACP/agent subprocess telemetry for every invocation, not just
TUI, so treating it as a notification target would auto-subscribe
every CLI session and re-introduce the over-eager behaviour.
The kanban_create response now includes a 'subscribed' bool so
orchestrators can react if subscription failed (e.g. by falling
back to explicit kanban_notify-subscribe or to polling).
Includes 6 tests covering the gateway / TUI / CLI / partial-context /
gated / add_notify_sub-failure paths. All 90 tests in
test_kanban_tools.py pass; 509 broader kanban tests pass.
* Port from cline/cline#11514: encourage parallel tool calls
Add a universal system-prompt guidance block telling the model to batch
independent tool calls (reads, searches, web fetches, read-only commands)
into a single assistant turn instead of one call per turn. The runtime
already executes independent batches concurrently (read-only tools always;
non-overlapping path-scoped file ops); the open-source system prompt had
nothing steering the model to PRODUCE the batch. Fewer round-trips means
less resent context, which compounds over a long conversation.
- prompt_builder.py: new PARALLEL_TOOL_CALL_GUIDANCE block (short, static,
cache-amortised) modeled on TASK_COMPLETION_GUIDANCE.
- system_prompt.py: inject right after the task-completion block, gated by
agent.valid_tool_names + the new toggle.
- agent_init.py: read agent.parallel_tool_call_guidance (default True).
- config.py: add the default under the agent section.
- test_prompt_builder.py: behavior-contract tests (batching steer, dependent
carve-out, length bound) — invariants, not wording snapshots.
Adapted from Cline's TypeScript tool-surface guidance to hermes-agent's
Python prompt-assembly architecture and config-over-env conventions.
* fix(desktop): never persist or restore a named custom provider as bare "custom"
Custom providers vanish from the Desktop/TUI model picker with
"No LLM provider configured" — repeatedly fixed (#44062, #44109, #45578)
and repeatedly regressed (#44022, #47714) because every fix only recovered
the entry identity from a persisted base_url. When a session is
persisted/restored with the resolved provider "custom" and NO base_url, bare
"custom" leaked through verbatim; resolve_runtime_provider("custom") routes to
the OpenRouter default URL with no api_key, so the next turn/resume dies.
Bare "custom" is the resolved billing class shared by every named providers:/
custom_providers: entry — it is not a routable identity. Centralize the
"never let bare custom escape" invariant in one helper,
runtime_provider.canonical_custom_identity(), and apply it at all four leak
sites in tui_gateway/server.py:
- _ensure_session_db_row — the ORIGIN: first DB write seeds the bad row
- _runtime_model_config — live persist
- _stored_session_runtime_overrides — resume restore (heals old rows; drops
unrecoverable bare custom so resume falls back to config default)
- _make_agent — rebuild / per-turn
The helper recovers custom:<name> from the endpoint URL when present, else
from config.model.provider (the durable identity left when no base_url
survived). Regression tests in test_custom_provider_session_persistence.py
lock the no-base_url vector at every site so it cannot regress again.
Defense-in-depth fix for the silent wipe of ~/.hermes/ documented in
#48200. A `hermes update --yes` run silently destroyed a user's
.env, MEMORY.md, kanban.db, custom skills, and scripts. Two changes:
1. `_rmtree_writable` in tools/skills_sync.py now refuses to rmtree
anything outside SKILLS_DIR (the HERMES_HOME/skills/ root).
All five call sites pass paths under SKILLS_DIR, so the guard is
a no-op for current code and a loud, recoverable failure for
any future regression (bad path join, malicious bundled
manifest, stale path in scope after an exception).
2. The default `updates.pre_update_backup` flips from false to
true in hermes_cli/config.py. A few minutes of zip per update
is negligible compared to silent total data loss. Still
overridable; --no-backup still works for one-off opt-out.
Five new tests in TestRmtreeWritableScopeGuard (root path,
hermes home, sibling dir, skills root itself, subdir) plus a
flipped `test_default_enabled_creates_backup` in test_backup.py.
178/178 tests pass in the two affected files. Public method
signatures unchanged, no test-stub blast radius.
Closes#48200
The install method (docker/git/pip/...) describes the *running binary*, but
detect_install_method() read it from $HERMES_HOME/.install_method — a shared
DATA directory. The Docker docs deliberately bind-mount $HERMES_HOME
(~/.hermes:/opt/data) so config/sessions/memory persist and can be shared with
a host-side Desktop/CLI install.
When a containerized gateway and a host install share one $HERMES_HOME, the
home-scoped stamp is a single slot describing two installs: the published image
stamps 'docker' on every boot, the host install then reads 'docker' and the
in-app updater refuses to run 'hermes update' ("doesn't apply inside the Docker
container"). Reinstalling the Desktop app from the DMG doesn't help because the
contaminated stamp is re-read every time.
Fix (option 1 — code-scoped stamp):
- detect_install_method() reads <install tree>/.install_method first (next to
the running code, immune to the shared data dir). It falls back to the legacy
$HERMES_HOME stamp for back-compat, but IGNORES a 'docker' home stamp when
not actually containerized — so already-poisoned shared homes self-heal.
- stamp_install_method() writes the code-scoped stamp.
- install.sh stamps $INSTALL_DIR instead of $HERMES_HOME.
- Dockerfile bakes 'docker' into /opt/hermes/.install_method at build time
(inside the immutable block); stage2-hook.sh no longer writes the home stamp
and proactively removes a stale 'docker' one to heal existing shared homes.
Genuine containers still resolve to 'docker' (baked stamp, or legacy home stamp
honored when containerized). Unstamped installs in generic containers still fall
through to git/pip (preserves the #34397 fix).
Context files (AGENTS.md, CLAUDE.md, .hermes.md, .cursorrules, SOUL.md) were
hard-capped at a flat 20K chars before head/tail truncation. Among the agent
harnesses we track, only Codex caps project docs at all (32 KiB); Claude Code,
OpenCode, and Cline load them whole. The flat 20K predates large context
windows and silently truncates real-world AGENTS.md files.
B — dynamic cap: when context_file_max_chars is unset (now the shipped
default), the cap scales with the model's context window
(ctx_tokens * 4 * 0.06, floor 20K, ceiling 500K). Small-context models stay at
the historical 20K; a 200K model gets 48K; large models stop truncating real
docs. An explicit context_file_max_chars still wins. Context length is resolved
once per conversation (stable -> prompt cache untouched).
C — when truncation does happen, the marker now names the concrete file path
and tells the agent to read_file it for the full content.
Validation: 154 targeted tests + full agent/ + hermes_cli/ + test_config
(0 failures); E2E against a real 60K AGENTS.md confirms small windows truncate
with the path-bearing marker, large windows load whole, and the system prompt
is byte-stable across rebuilds.
The curator now defaults to prune-only: the deterministic inactivity pass
(mark stale / archive long-unused skills) still runs whenever the curator is
enabled, but the opinionated LLM umbrella-building consolidation fork is OFF
by default.
- agent/curator.py: add DEFAULT_CONSOLIDATE=False + get_consolidate(); gate
the forked aux-model review in run_curator_review behind it (new consolidate
param, None=read config). When off, the LLM pass is skipped entirely (no
aux-model cost); the run is still recorded and reported.
- config.py: add curator.consolidate (default false); v29->v30 migration seeds
the key for existing installs without clobbering a user-set value.
- hermes_cli/curator.py: 'hermes curator run --consolidate' override; status
shows consolidate state; prune-only notice on run.
- docs + tests.
Follow-up to salvaged PR #41633: the timestamp prefix injection was
unconditional. Gate the in-context render behind
gateway.message_timestamps.enabled (default false) at both the live-message
and history-replay sites; timestamp metadata is still captured + persisted
regardless so the toggle can be flipped on later. Add DEFAULT_CONFIG entry,
docs, and gate tests.
PROBLEM: Automatic context files such as SOUL.md and AGENTS.md were capped by a hardcoded CONTEXT_FILE_MAX_CHARS value. Amy's local fork had raised that constant from 20K to 25K so a larger SOUL.md would not be silently truncated, but the hardcoded 25K value changed upstream default behavior and made the patch less generally useful.
SOLUTION: Restore the upstream-compatible 20K default, add a context_file_max_chars config setting for users who intentionally keep larger identity/project-context files, keep chat-visible truncation warnings, and document the new setting. Tests cover the default, config override, explicit max_chars precedence, and the warning text.
Streamed Telegram replies that finalize through editMessageText were
converted to MarkdownV2, which has no table syntax and rewrites pipe
tables into bullet lists — users saw a table while streaming that
collapsed to a list at the last moment.
Finalize now edits the existing preview IN PLACE via Bot API 10.1's
editMessageText rich_message parameter when the content has constructs
the legacy path degrades (tables, task lists, <details>, block math).
No fresh send + delete, so no duplicate-preview flicker — the reason
#46206 reverted the fresh-final re-send path. prefers_fresh_final_streaming
stays False; the in-place edit replaces it.
- _needs_rich_rendering(): rich reserved for table/task-list/details/math
(adapted from #45995, @YonganZhang); plain replies stay on MarkdownV2.
- _try_edit_rich(): editMessageText + rich_message via do_api_request,
mirroring _try_send_rich's fallback/latch/transient contract.
- edit_message finalize tries rich in place before the 4,096 overflow
pre-flight (rich cap is 32,768), falling back to legacy on rejection.
- rich_messages default flipped back to True (DEFAULT_CONFIG + adapter).
- docs (en + zh-Hans) + cli-config example updated to default-on.
Closes the root cause behind #45911 / #46009.
* feat(delegation): async background subagents via delegate_task(background=true)
delegate_task(background=true) dispatches a subagent that runs in the
background and returns a handle immediately, so the user and model keep
working while it runs. The full result — plus the original task source —
re-enters the conversation as a new turn when the subagent finishes,
riding the same completion-queue rail as terminal background processes.
- tools/async_delegation.py: daemon-executor registry, capacity cap,
rich self-contained completion event pushed onto the shared
process_registry.completion_queue (type='async_delegation').
- delegate_tool.py: background param + single-task dispatch branch;
batch async rejected (v1).
- process_registry.py: format_process_notification renders the rich
task-source block (goal/context/toolsets/model/status/result).
- gateway/run.py: dedicated _async_delegation_watcher drains + injects
results into the originating session (idle + post-turn), session_key
routing enrichment, shutdown interrupt of dangling delegations.
- config: delegation.max_async_children (default 3).
Reuses the existing idle-drain wiring rather than mutating a running
agent loop, preserving message-role alternation and prompt-cache
invariants. 13 targeted tests; CLI + gateway paths E2E-verified.
* test(delegation): make async non-blocking tests environment-independent
CI 'test (5)' flaked on a cold, 8-worker runner: the first
delegate_task(background=true) call measured 2.27s of one-time setup
(config load + child-agent construction + imports), tripping the
elapsed < 1.0 wall-clock assertion. That assertion was testing setup
overhead, not blocking.
Replace the wall-clock thresholds with the real invariant: dispatch
returns while the child is still gated (active_count == 1, completion
queue empty), which a synchronous impl could not do. Keep only a loose
4s sanity backstop well under the runner's 5s gate.
* fix(delegation): harden async background delegation
Follow-up review fixes:
- Detach background child from parent._active_children at dispatch —
otherwise parent-turn interrupts (Ctrl+C, mid-turn steering), cache
evicts (release_clients), and session close (/new) kill/close the
detached subagent mid-run, defeating the point of background mode.
Lifecycle is owned by the async registry's interrupt_fn.
- Make the capacity check atomic with the record insert (TOCTOU: two
concurrent dispatches could both pass active_count() and exceed the cap).
- TUI dedup: key async_delegation events by delegation_id — the
fallthrough keyed them all as ("", type), suppressing every completion
after the first in the desktop/TUI status feed.
- CLI /stop now interrupts running background delegations and /agents
lists them (they live outside the process registry and were invisible).
- Drop stray unbalanced ']' line from the re-injection block and the
unused _ASYNC_DEFAULT import.
Tests: detach-at-dispatch + concurrent-capacity race added (15 total in
test_async_delegation.py); 137 delegate + 140 process-registry/notify/watch
+ 7 TUI dedup tests pass.
* fix(delegation): harden async background completion drains
Subagents doing legitimate heavy work (deep code reviews, research
fan-outs, slow reasoning models) were routinely killed at the blanket
600s child_timeout_seconds cap while making steady progress (e.g. 36
API calls completed when the axe fell). Failures should come from what
the child is actually doing — API errors, tool errors, iteration
budget — not a delegation-level stopwatch.
- DEFAULT_CHILD_TIMEOUT: 600 -> None; Future.result(timeout=None)
blocks until the child finishes
- config default delegation.child_timeout_seconds: 600 -> 0
(0/negative = disabled; positive opts back in, floor 30s unchanged)
- stuck-child protection unchanged: the heartbeat staleness monitor
still stops refreshing parent activity so the gateway inactivity
timeout fires on a truly wedged worker; the 0-API-call diagnostic
dump still works when a cap is configured
- docs updated (EN + zh-Hans)
Modal prompt panels (dangerous-command approval, clarify questions)
live in the prompt_toolkit layout and vanish on the next repaint,
leaving no trace of the question or the decision in chat history.
Emit a dim one-line summary after each prompt resolves:
⚠ Approval: <command> → allowed for session
? Clarify: <question> → <answer>
Gated on display.persist_prompts (default true). Detail and outcome
are whitespace-collapsed and capped at 120 chars.
The subscription-cap usage gauge (50/75/90% bands) ignored purchased
(top-up) credits: a sub user with top-up funds got a sticky warn banner
at 90% of their cap — permanently at >=100%, alongside grant_spent —
despite being fully able to keep inferencing. The cap is the wrong
denominator for an account that can keep spending.
- evaluate_credits_notices: purchased_micros > 0 suppresses the usage
band (grant_spent already covers the cap-reached + top-up case with
the remaining balance). A top-up landing mid-session clears any
showing band; spending top-up down to 0 resumes the gauge.
- New display.credits_notices config (default true): false silences all
credits notices. State capture and /usage are unaffected. Read once
per agent (cached) in _emit_credits_notices, fail-open true.
- Docs: configuration.md display block.
Hermes can propose automations and let the user accept them with one tap
via /suggestions, instead of making them assemble cron jobs by hand. Every
proposal — wherever it originates — flows through one surface.
Sources (the 'where suggestions come from'):
- catalog: curated starter automations (daily briefing, important-mail
monitor, weekly review, workday-start reminder) via /suggestions catalog
- recipe: installing a skill that carries a metadata.hermes.recipe block
registers a suggestion instead of auto-scheduling
- usage / integration: reserved for the background-review detector and
account-connect triggers (sources defined; emitters land next)
Pieces:
- cron/suggestions.py — the store. add/list/accept/dismiss, dedup+latch by
key (dismissed proposals never re-offered), pending cap so it can't become
a nag wall. Accepting calls the existing cron.jobs.create_job — there is
NO second job engine. Mirrors jobs.py storage (atomic writes, lock, 0600).
- cron/suggestion_catalog.py — the curated set. The important-mail monitor
entry is where the old proactive-monitor poll->classify->surface engine
lives now (cron/scripts/classify_items.py + the 'monitor' aux task), as ONE
catalog automation rather than a standalone feature.
- tools/recipes.py — recipe<->job bridge; register_recipe_suggestion() makes
a recipe source 'recipe' of this surface. recipe_to_job_spec() is the single
translation both the direct and suggestion paths share.
- hermes_cli/suggestions_cmd.py — shared /suggestions handler (CLI + gateway
never drift); /suggestions [accept N|dismiss N|catalog|clear].
- Wired: CommandDef + CLI dispatch (cli.py) + gateway dispatch (gateway/run.py)
+ aux 'monitor' task (config.py) + recipe-install hook (skills_hub.py).
Consent-first throughout: nothing auto-schedules; acceptance is always
explicit; dismissals latch.
Supersedes #41122 (proactive-monitor) and #41127 (recipes): both fold in here
as a catalog entry and a suggestion source respectively.
Tests: store (dedup/cap/accept/dismiss/latch), catalog seeding+idempotency,
recipe->suggestion bridge, command handler, aux config. E2E: recipe SKILL.md
-> parsed -> suggested -> accepted -> real cron job persisted to jobs.json.
The coding posture's names-only demotion of non-coding skill categories
(#44342) applied under the default auto mode, silently changing the skill
index for every user in a git repo. Index changes must be opt-in: demotion
now only fires under agent.coding_context=focus, alongside the toolset
collapse. auto/on leave the skill index untouched; focus semantics are
unchanged (demoted, never hidden; deny-list keeps coding-adjacent and
custom categories at full entries).
Two dashboard fixes:
1. The 'Anthropic API Key' OAuth catalog entry's status fn read
~/.claude/.credentials.json (which has its own dedicated claude-code
entry) and never checked ANTHROPIC_API_KEY at all. It now checks the
Hermes PKCE file, then the registry env-var order (ANTHROPIC_API_KEY
-> ANTHROPIC_TOKEN -> CLAUDE_CODE_OAUTH_TOKEN) via get_env_value, so
keys from .env, the shell, or Bitwarden (injected into the process
env by load_hermes_dotenv) are all reported, with a '(from Bitwarden)'
source suffix when applicable.
2. Deprecated HERMES_TOOL_PROGRESS / HERMES_TOOL_PROGRESS_MODE removed
from OPTIONAL_ENV_VARS so the keys page and setup checklists stop
offering them. Moved to _EXTRA_ENV_KEYS so .env sanitization and
reload_env still recognize them for existing users (gateway back-compat
fallback unchanged).
* feat(agent): coding-context posture with per-model edit-format tuning
Hermes detects when it's running in a coding context — an interactive
surface (CLI, TUI, ACP, desktop) sitting in a code workspace (git repo or
recognised project root) — and shifts into a coding posture. Outside that
(chat platforms, non-workspaces) nothing changes.
The posture is modelled as a frozen RuntimeMode selected from a small
ContextProfile registry (coding/general). A profile is data: the toolset to
collapse to, the operating brief to inject, and seams for model routing and
memory. Every domain reads the same resolved object instead of re-probing
git/config on its own:
- System prompt — RuntimeMode.system_blocks(): an operating brief (gather
context before editing, edit through tools not chat, verify with terminal,
cap retry loops) plus a live git/workspace snapshot, built once and baked
into the stable prompt tier so per-conversation caching is preserved.
- Per-model edit-format tuning — the brief nudges each model family toward
the patch mode it handles best: OpenAI/Codex toward mode='patch' (V4A
multi-file diffs), Anthropic toward mode='replace' (string replacement).
The model id rides on RuntimeMode; unknown families keep neutral wording.
- Skill index — non-coding skill categories are pruned from the prompt's
skill index (discovery-only; skills_list/skill_view still reach the full
catalog, with a disclosure note).
- Toolset — only under the opt-in 'focus' mode does the posture collapse to
the coding toolset + enabled MCP servers; the default posture is
prompt-only and never overrides configured toolsets.
Activation via agent.coding_context: auto (default), focus, on, off.
Subagents inherit the posture for free via toolset inheritance + the shared
prompt builder. Detection is not memoized so a long-lived gateway/TUI
process can't pin a stale posture across working directories.
* feat(agent): cover new-file authoring in the coding edit-format nudge
The per-model edit-format guidance only addressed editing existing code
(patch mode='patch' vs 'replace'), but authoring a brand-new file —
write_file, not patch — is a large fraction of real coding work and the
nudge was silent on it. Surfaced when building a single-file artifact where
the dominant operation was write_file and the steering offered no guidance.
Both family lines now lead with "author new files with write_file; for
edits to existing code prefer ...". Tests assert write_file appears in each
family's brief; unknown families still get neutral wording.
* docs(agent): correct memoization docstring + clarify TUI config-load asymmetry
* feat(agent): sharpen the coding posture — verify-loop facts, wider edit steering, $HOME guard
Tuning pass on the coding posture from dogfooding it as a harness:
- Workspace snapshot now hands the model its verify loop up front:
detected manifests + package manager (lockfile sniff), the exact
verify commands (package.json scripts, Makefile targets,
scripts/run_tests.sh, pytest config), and which context files
(AGENTS.md / CLAUDE.md / .cursorrules) exist at the root. Marker-only
(non-git) projects get the snapshot too instead of nothing. The
"verify before claiming done" brief line was the highest-value piece
in evals — this turns it from advice into an executable loop instead
of making the model rediscover the test command every session. Still
stat-cheap, size-guarded reads, built once at prompt time.
- Edit-format steering covers the families Hermes actually serves:
Gemini and open-weight coding models (DeepSeek, Qwen, Kimi, GLM,
Grok, Hermes, Llama, Mistral, Devstral, MiniMax) steer to
mode='replace' — their RL scaffolds use str_replace-style editors.
Previously only GPT/Codex and Claude families got steering; the
models Hermes users disproportionately run all fell to neutral.
- Operating brief gains four behaviors elite harnesses encode: batch
independent reads/searches in one turn; fix root causes and the bug
class (sibling call paths), not the reported site; no drive-by
refactors/renames/reformatting; never read, print, or commit secrets.
Plus a patch-failure escalation ladder: after the same region fails
twice, rewrite the enclosing function/file with write_file instead of
a third patch attempt.
- $HOME dotfiles guard: a git repo rooted exactly at the home directory
(or a marker sitting in it, e.g. a global ~/AGENTS.md) is user config,
not a code workspace — without the guard, every session anywhere under
a dotfiles-managed home silently flipped to the coding posture. Real
projects under such a home still detect via their own markers/repos;
'on' mode bypasses the guard.
#33699 fixed save_env_value so an operator-set .env mode (e.g. 0640 on a
Docker bind-mount) survives a config write instead of being re-tightened
to 0600 by the unconditional _secure_file() call. The sibling
remove_env_value() had the identical bug: it restores original_mode and
then unconditionally called _secure_file(env_path), clobbering the mode
back to 0600 on every `hermes config remove KEY`.
Apply the same fix: move _secure_file() into the else branch so it only
runs when no original mode was captured (a freshly created .env still
gets 0600 hardening; existing operator-set modes survive).
Added test_remove_env_value_preserves_existing_file_mode_on_posix, which
fails on the unfixed remove path (expected 0o640, got 0o600) and passes
with the fix.
The shipped tri-state write_mode (on|off|approve) conflated two concepts —
whether writes are enabled and whether they're gated — so 'on' (writes flow
freely, gate inactive) read like 'gating is on'. Replace it with a single
clear boolean gate that defaults off.
memory.write_approval / skills.write_approval:
false (default) — write freely; the approval gate is off (pre-gate behaviour)
true — require approval: memory foreground prompts inline, memory
background-review + all skill writes stage for review
The old 'off = block all writes' mode is dropped; memory_enabled: false already
disables memory entirely, so a third 'block' state was redundant.
- tools/write_approval.py: get_write_mode/MODE_* → write_approval_enabled() bool;
evaluate_gate() loses the config-driven 'blocked' path (blocked now only comes
from an interactive user denial).
- tools/memory_tool.py, tools/skill_manager_tool.py: comment + behaviour follow.
- hermes_cli/config.py: memory/skills write_mode → write_approval (False);
_config_version 28→29 with a 28→29 migration that renames any persisted
write_mode (approve→true, on/off/unset→false) and drops the old key.
- slash commands: '/memory|/skills mode <on|off|approve>' → 'approval <on|off>'
('mode' kept as a back-compat alias); set_mode_fn callback now takes a bool.
- write_approval_commands.py, cli_commands_mixin.py, gateway/slash_commands.py,
commands.py: handlers + registry args/subcommands updated.
- docs + tests rewritten for the boolean model; added migration tests.
`save_env_value()` captures the original .env file mode (e.g. 0640 for Docker
volume mounts) and restores it via `os.chmod` — but then unconditionally calls
`_secure_file(env_path)` on the next line, which re-tightens the mode to 0600
and defeats the entire preservation logic. The intent (preserve when
`original_mode` is captured, secure otherwise) was already in the code but
got short-circuited.
Move `_secure_file()` into the `else` branch so it only runs when no original
mode was captured — fresh `.env` files written for the first time still get
the 0600 hardening treatment, but operator-set modes survive subsequent writes.
Salvages #31518 by @blut-agent (config.py portion only). Their PR also bundled
unrelated lowercase-lookup changes in `hermes_cli/commands.py`; this salvage
takes only the focused config fix. The commands.py changes are reasonable on
their own merits but belong in a separate PR.
Co-authored-by: blut-agent <278569635+blut-agent@users.noreply.github.com>
Adds memory.write_mode and skills.write_mode (on|off|approve), applied to
both foreground turns and the background self-improvement review fork — the
source of the unprompted 'wrong assumption' saves users reported.
- on (default): write freely, unchanged behaviour
- off: never write; the tool returns a clean disabled result
- approve: don't commit. Memory foreground writes prompt inline (small,
reviewable in a chat bubble); background memory writes and ALL skill writes
stage to a pending store instead (a SKILL.md is too large to review inline,
and a daemon thread can't block on a prompt)
Review staged writes from CLI or any messaging platform:
/memory pending|approve|reject|mode
/skills pending|approve|reject|diff|mode
Skill review respects the size asymmetry: inline you see a one-line gist;
the full unified diff stays out-of-band (/skills diff, dashboard, or the
staged JSON file).
New: tools/write_approval.py (gate + pending store), hermes_cli/
write_approval_commands.py (shared CLI+gateway handlers). Gates wired at the
single entry points memory_tool() and skill_manage(), using the existing
write-origin ContextVar to distinguish foreground from background_review.
* feat(onboarding): opt-in structured profile-build path on first contact
On a user's very first gateway message, Hermes now optionally offers to
build a short profile of them — then, only with consent, gathers durable
facts and persists them to the user-profile memory store (memory tool,
target="user") so future sessions start already knowing who they are.
Inspired by Poke's zero-input onboarding, but consent-first by design:
- The agent OFFERS, never assumes. Declining stops it immediately.
- Before ANY external lookup it states what it will look up and asks.
- It never reads connected accounts (email/calendar) silently — the
exact privacy concern that made naive implementations feel invasive.
Wiring reuses existing infrastructure end-to-end:
- gateway/run.py first-message hook (was a plain self-intro) now swaps in
the profile-build directive when enabled and not yet offered.
- agent/onboarding.py gains profile_build_mode()/profile_build_directive()
+ PROFILE_BUILD_FLAG, latched once via the existing onboarding.seen
mechanism so the offer fires at most once per install.
- config default onboarding.profile_build: "ask" (set "off" to disable).
Added to an existing section, so no _config_version bump needed.
No new storage layer, no new injection path, no prompt-cache impact.
* fix(dashboard): fold onboarding into agent tab to avoid 1-field category
onboarding.profile_build is the only schema-surfaced onboarding field
(onboarding.seen is an internal latch dict), so the dashboard CONFIG_SCHEMA
single-field-category invariant rejected it. Merge onboarding -> agent like
the other small categories.
The ChatGPT Codex OAuth backend hard-caps gpt-5.5 at a 272K context window
(verified live: a ~330K-token request to chatgpt.com/backend-api/codex/responses
is rejected with context_length_exceeded while ~250K succeeds; the same slug
exposes 1.05M on the direct OpenAI API / OpenRouter and 400K on Copilot). At the
default 50% trigger, auto-compaction fires at ~136K — half the usable window.
Raise the trigger to 85% (~231K) on this exact route only, gated by a new
compression.codex_gpt55_autoraise config flag (default true). When it fires,
emit a one-time notice (CLI inline print + gateway status_callback replay) with
the exact opt-back-out command. gpt-5.5 on any other provider keeps the user's
global threshold.
- _is_codex_gpt55() matches the 5.5 family only on provider=openai-codex
- _compression_threshold_for_model() now provider-aware + opt-out param
- config key + _config_version bump (27->28) for backfill
- docs + tests (40 cases in test_arcee_trinity_overrides.py)
* Revert "fix(update): require managed marker before destructive clean"
This reverts commit c8e80cd0bf.
* Revert "fix(update): stop stash/restore from clobbering desktop source on managed clones (#38542)"
This reverts commit 8a19884bf3.
* chore(install): keep npm ci desktop-build fix after stash revert
The destructive-clean reverts (#38542/#39568) pulled the desktop
workspace install back to bare `npm install`. The npm ci -> npm install
fallback is orthogonal build-correctness (avoids the Windows
workspace-hoisting flake where install reports up-to-date against a
stale marker while node_modules is empty, breaking tsc -b). Preserve it.
* feat(update): settable stash-or-discard for non-interactive local changes
Adds updates.non_interactive_local_changes (stash | discard, default
stash). Governs ONLY non-interactive updates (desktop/chat app, gateway,
--yes) — interactive terminal updates always stash-and-ask, unchanged.
- config.py: new key under existing updates section; _config_version 26->27.
- main.py: _cmd_update_impl detects non-interactive (gateway/--yes/no-TTY),
reads the setting; new _discard_stashed_changes() drops the stash
(stash-and-drop, never reset --hard/clean -fd, so ignored paths survive).
Post-pull restore site branches on it; the bail-out and up-to-date
restores always preserve work.
- web_server.py + apps/desktop settings: exposes it as a stash/discard
select (Advanced section, In-App Update Local Changes).
- docs + tests (discard drops, stash restores, interactive ignores setting,
missing section defaults to stash).
* fix(install.ps1): stash/restore instead of reset --hard on Windows update
The PR reverted the destructive update path to stash/restore everywhere
except scripts/install.ps1, whose managed-clone update path still ran
`git reset --hard HEAD` before checkout — silently destroying agent-edited
tracked source on Windows (the same #38542 data-loss class the PR fixes).
- Replace `git reset --hard HEAD` with stash-before-checkout +
restore-after-checkout, mirroring install.sh. Untracked files are
included so agent-created dirs (e.g. tinker-atropos/) survive.
- Keep `core.autocrlf false` (it prevents the phantom CRLF dirt that made
the stash necessary; it's also load-bearing for a clean restore).
- Wrap all three checkout modes (Commit/Tag/Branch); Branch case now uses
`git pull --ff-only` so local commits are never clobbered.
- Only prompt to restore when a real console is attached (UserInteractive
+ non-redirected stdin/stdout + ConsoleHost); the desktop Update button
and bootstrap have no usable console, so they default to restore and
never hang on Read-Host.
- On restore conflict or a failed update, the stash is preserved with
recovery instructions — work is never silently dropped.
Validated on Windows (PowerShell 5.1, git 2.54): AST parse clean;
E2E non-conflicting restore applies+drops cleanly with ignored paths
(node_modules) untouched; conflicting restore preserves the stash.
---------
Co-authored-by: alt-glitch <balyan.sid@gmail.com>
* fix: respect disabled auto-compaction on context overflow
Port from anomalyco/opencode#30749.
When compression.enabled is false, NO automatic compaction trigger may
fire. The proactive token-threshold paths (preflight + post-response
should_compress gate) already honoured the setting, but the three
provider-overflow recovery paths in the agent loop — long-context-tier
429, 413 payload-too-large, and context-overflow — called
_compress_context() unconditionally, silently compressing and rotating
the session against the user's explicit choice.
Add a single guard at the top of the overflow-recovery dispatch: when
compression is disabled and the error is one of those three overflow
classes, surface a terminal error (compaction_disabled: True) telling the
user to /compress manually, /new, switch to a larger-context model, or
reduce attachments. Manual /compress (force=True) is unaffected — it never
enters this loop.
Tests: new TestOverflowWithCompactionDisabled (413 + 400 overflow don't
compress when disabled; control case still compresses when enabled).
Existing overflow-recovery tests updated to enable compaction explicitly
(they verify the recovery fires); fixture defaults flipped to True to
match production (compression.enabled defaults to True).
* feat(delegation): uncap max_spawn_depth to match max_concurrent_children
Removed the hard ceiling of 3 on delegation.max_spawn_depth. Depth now has
a floor of 1 and no upper limit, mirroring max_concurrent_children. Cost
(each level multiplies API spend) is the practical limiter, not a constant.
- delegate_tool.py: drop _MAX_SPAWN_DEPTH_CAP, _get_max_spawn_depth() floors
at 1 instead of clamping to [1,3]; depth-limit error string reworded
- config.py / cli-config.yaml.example: doc comments say floor 1, no ceiling
- docs (configuration, delegation, delegation-patterns): range 1-3 -> >=1
- tests: convert clamp-above-3 change-detector into a no-ceiling invariant,
drop the _MAX_SPAWN_DEPTH_CAP==3 snapshot assert, fix warning-text assert
* feat(discord): voice-channel mixer — ambient idle bed + verbal acks that overlap TTS
Discord voice mode can now feel conversational: the bot speaks a short
acknowledgement before it starts working, and a subtle ambient 'thinking' bed
plays underneath while tools run, ducking under speech and swelling back — the
Grok-voice-mode feel.
discord.py plays only one audio stream per voice connection, so this adds a
software mixer (VoiceMixer, a discord.AudioSource) installed once per guild on
join. It sums an ambient loop, verbal acks, and TTS replies into that single
20ms/48kHz/stereo stream (numpy int16 add + clip), so they overlap instead of
stop-and-swap. Speech ducks the ambient gain down and releases it smoothly.
- plugins/platforms/discord/voice_mixer.py: VoiceMixer + MixerChild (gain,
loop, fade, duck/release), decode_to_pcm (ffmpeg), synth_ambient_pcm (no
asset needed — synthesised pad).
- adapter: install mixer on join, tear down on leave, route
play_in_voice_channel through the mixer (legacy one-shot path kept as
fallback), play_ack_in_voice, voice_mixer_active. Defensive getattr for the
object.__new__ test helpers.
- gateway/run.py: tool_start_callback fires a one-time verbal ack on the first
tool call of a turn when in a voice channel (independent of the text
tool-progress gate). No system-prompt or message-flow changes.
- config: discord.voice_fx.* (OFF by default; ambient/duck/speech gains, ack
phrases). All in config.yaml, not .env.
- docs + tests (mixer unit + adapter integration).
Verified: 19 new tests pass, existing voice suite green (2 pre-existing
davey-module env failures unchanged), and a real-mixer E2E confirms ambient
streams, TTS overlaps it, acks layer in, and teardown is clean.
* fix(discord): make voice mixer numpy import lazy (numpy is voice-extra-only)
numpy ships in the optional 'voice' extra, not [all,dev], so a module-level
'import numpy' broke CI test collection (and would break the always-imported
Discord adapter on any install without the voice extra). Defer numpy to the
functions that actually mix audio via _require_numpy(); guard the test module
with pytest.importorskip('numpy').
A bundled, zero-infrastructure 'just put a password on my dashboard'
provider that uses the supports_password extension point. No external IDP,
no database: sessions are stateless HMAC-signed tokens the provider mints
and verifies itself, and passwords are hashed with stdlib scrypt (no
third-party dependency — deliberately avoids bcrypt to keep the dep
surface unchanged).
- plugins/dashboard_auth/basic: BasicAuthProvider (scrypt verify with a
constant-time dummy-hash path for unknown users so the endpoint is not
a username-timing oracle; access/refresh tokens carry a 'kind' claim
that verify/refresh enforce; cross-secret tokens are rejected). The
register() entry point mirrors the Nous plugin's config/env precedence
(env wins; empty treated as unset) and LAST_SKIP_REASON channel.
- config.py: document the canonical dashboard.basic_auth.* surface
(username / password_hash / password / secret / session_ttl_seconds).
Activates only when username + (password or password_hash) are set, so
OAuth users and loopback/--insecure operators are unaffected. Without an
explicit secret a random per-process key is generated (logged): fine for a
single process, but sessions then don't survive restart or span workers.
* Port from google-gemini/gemini-cli#21541: back up corrupted config.yaml
When config.yaml fails to parse, load_config() silently falls back to
DEFAULT_CONFIG and leaves the broken file on disk. If the user then re-runs
the setup wizard or hermes config set (both rewrite config.yaml), their
broken-but-recoverable overrides are lost for good.
Adapts the policy-file recovery from gemini-cli#21541: on the first parse
warning for a given broken file, snapshot it to config.yaml.corrupt.<ts>.bak
(best-effort, symlink-guarded, size-deduped) and tell the user where it
landed. Unlike Gemini's version we deliberately do NOT reset config.yaml to a
clean state — hermes never silently mutates user config, and leaving it means
a hand-fixed file is re-read on the next load.
Tests: 3 new cases (backup created + content preserved + original untouched;
same-size backup dedup; symlink not copied). E2E verified with isolated
HERMES_HOME and a real tab-indented broken config.
* feat(dashboard): add Debug Share to the System page
Surface `hermes debug share` in the dashboard. The System > Operations
section gets a dedicated card that uploads a redacted report + full logs
and returns the paste URLs as real, copyable links instead of a log tail.
- debug.py: factor a pure build_debug_share() returning structured
{urls, failures, redacted, auto_delete_seconds}; run_debug_share now
calls it (CLI output unchanged).
- web_server.py: POST /api/ops/debug-share runs the share core in a
worker thread and returns the structured payload synchronously (the
URLs are the whole point — not a backgrounded action).
- api.ts: runDebugShare() + DebugShareResponse.
- SystemPage.tsx: share card with a redaction toggle (on by default),
per-link + copy-all buttons, and the 6h auto-delete countdown.
- tests: build_debug_share core + endpoint (redact toggle, failure 502,
token gate).
Salvage of #35508 (@dchenk), rebased onto current main. Resolved the
tests/tools/test_stage2_hook_puid_pgid.py conflict (kept both the
envdir-creation regression test on main and the new config-migration
tests).
Docker image upgrades replace code under $INSTALL_DIR but preserve
$HERMES_HOME on the mounted volume, so the persisted config.yaml never
received the schema migrations that non-Docker `hermes update` runs
(#35406). This adds scripts/docker_config_migrate.py, invoked from
stage2-hook after first-boot seeding and before gateway services start:
it backs up config.yaml + .env, runs migrate_config(interactive=False),
and honors HERMES_SKIP_CONFIG_MIGRATION=1 for manual control.
Also fixes a latent bug in check_config_version(): it called load_config()
which deep-merges DEFAULT_CONFIG, so a legacy config with no raw
_config_version falsely reported as already-current. It now reads the raw
on-disk file so legacy configs are correctly detected for migration.
Differs from #35508 as submitted (Option B cleanup): dropped the
`_config_version` line added to cli-config.yaml.example and removed the
accompanying test_cli_config_example_declares_latest_version change-detector
test. The example is a copy-template and has no business asserting a schema
version; check_config_version() reads the user's real config.yaml, not the
example. This removes a second sync point that drifts on every version bump.
Closes#35508. Fixes#35406.
Co-authored-by: Dmitriy Cherchenko <17372886+dchenk@users.noreply.github.com>
* fix(doctor): detect + repair stale HERMES_MAX_ITERATIONS .env ghost shadowing config.yaml
hermes doctor now flags when ~/.hermes/.env carries a HERMES_MAX_ITERATIONS
value that disagrees with agent.max_turns in config.yaml, and 'hermes doctor
--fix' removes the stale .env line so config.yaml is authoritative. 'hermes
config show' surfaces the same drift inline under Max turns.
The setup wizard stopped dual-writing this value, but users who edited only
config.yaml from a pre-fix install keep a .env ghost. The gateway bridge
normally overrides it at startup, but if the bridge bails on any earlier
config-parse error the ghost silently wins — config says 400 while the
gateway activity line reads N/90.
The detector reads the .env FILE directly (load_env), not get_env_value/
os.environ, since the startup bridge may already have overwritten os.environ
with the config value.
Closes#17534.
* fix(config): stop offering HERMES_MAX_ITERATIONS as an editable env var
Removes HERMES_MAX_ITERATIONS from OPTIONAL_ENV_VARS so the dashboard env
editor (PUT /api/env) and any env-var prompt no longer let a user write it
to .env — which would recreate the stale ghost that shadows config.yaml's
agent.max_turns (issue #17534). The iteration budget is configured only via
config.yaml; the env var stays a read-only backward-compat fallback in the
gateway/CLI, never a promoted write target.
Regression test asserts it is absent from OPTIONAL_ENV_VARS.
Add `display.interface` config key so users can make the modern TUI the
default for bare `hermes` / `hermes chat` without exporting HERMES_TUI=1 in
every shell. Default stays "cli" to preserve current behavior.
Add a `--cli` flag (mirrors `--tui`) so an explicit invocation can force the
classic prompt_toolkit REPL even when `display.interface: tui` is configured.
Precedence (highest first): `--cli` > `--tui`/`HERMES_TUI=1` > config
`display.interface` > classic REPL. Two resolvers enforce it:
* `_resolve_use_tui(args)` — the args-aware resolver used by `cmd_chat`
and the Termux fast-TUI path (uses full load_config()).
* `_wants_tui_early(argv)` — a dependency-free early resolver used by
mouse-residue suppression and the Termux fast paths, which run before
argparse / hermes_cli.config are importable (minimal cached YAML read).
Both `--cli` and `--tui` are registered via `_inherited_flag`, so they are
carried across self-relaunch automatically.
- config: add display.interface ("cli" default), bump _config_version 25->26.
The generic missing-field migration + load_config() deep-merge seed the key
for existing configs; no bespoke migration block needed.
- docs: document --cli flag and display.interface in cli-commands.md and
the TUI user guide.
- tests: new test_default_interface_resolution.py covering resolver
precedence at every layer, early resolver edge cases (missing/garbage
config), parser flags, and relaunch inheritance.
