- website/docs/user-guide/configuration.md (en) and the zh-Hans
translation gain a 'Session Stall Watchdog' section: default 300,
0=disabled, notify-only semantics (never kills the turn — contrast
gateway_timeout), one notification per stall episode, and the exact
stall message text so it is greppable.
- cli-config.yaml.example: the two in-agent compression timeout keys
(compression.context_timeout_seconds /
compression.context_total_ceiling_seconds) are shown as commented
lines next to session_stall_timeout's example for discoverability.
The post-begin_commit() waiter previously called unbounded future.result(),
so the advertised compression.context_total_ceiling_seconds was silently
unenforced for commit-phase hangs. The commit still must complete (abandoning
an in-flight SessionDB mutation would diverge live messages from durable
state), but the wait is now bounded in increments against the remaining
ceiling: on ceiling breach the overrun is logged (WARNING escalating to
ERROR), surfaced once through the user-visible warning channel via the new
on_commit_overrun callback (wired to _emit_warning in run_agent.py), and the
host keeps waiting in bounded slices until the commit finishes.
Documented guarantee (config comment + docs, en/zh): summary phase bounded
by the ceiling; commit phase logged + surfaced if it exceeds it — never
silently hung, never abandoned mid-commit.
Test updated to assert the surfacing fires (previously accepted a silent
over-ceiling wait); adds coverage that a raising overrun callback cannot
break the commit wait.
Once begin_commit() wins, SessionDB mutation cannot be fence-cancelled;
document that context_total_ceiling_seconds covers the summary phase only
and pin the hang-wait contract in tests.
Three mechanisms to detect and notify when gateway sessions stall silently:
1. Mid-turn activity heartbeats stamped to SessionDB so hermes sessions list
and hermes status show progress during long turns without new message rows.
2. Stall watchdog: when a busy session has pending inbound and the shared
activity clock is idle past agent.session_stall_timeout (default 300),
log a WARNING and notify the user once to try /new. Notify-only; does
not kill the turn.
3. Compaction timeout: fenceless compress_context callers get a progress-aware
host budget (compression.context_timeout_seconds default 120 idle,
compression.context_total_ceiling_seconds default 600 ceiling). On timeout,
cancel via commit fence, skip compaction without dropping messages, and
continue the turn.
Closes#72016 (slices 1-3; slice 4 cumulative SSE stream-retry deadline
remains a follow-up).
Cherry-picked from PR #72424 by @fangliquanflq.
Local faster-whisper called model.transcribe with bare {'beam_size': 5}:
no VAD, cross-window conditioning on, no confidence filtering. Pure
silence produced hallucinated tokens (E2E: 5s anullsrc WAV -> 'You',
no_speech_prob=0.705) and noisy clips could produce runs of junk, often
in other languages.
Three-layer class fix, one shared owner for every local-whisper call
site (build_local_transcribe_kwargs):
1. Silero VAD filter (bundled with faster-whisper) on by default —
silence never reaches the model. stt.local.vad: false restores the
raw behavior for music/ambient transcription.
stt.local.vad_min_silence_ms tunes chunk splitting (default 500).
2. condition_on_previous_text=False — one hallucinated token can no
longer seed a self-reinforcing run; negligible cost for
voice-note-length audio.
3. Segment confidence gate (_join_confident_segments): drop a segment
only when no_speech_prob > 0.6 AND avg_logprob < -1.0 (openai-whisper's
own heuristic shape; both must hit so quiet-but-real speech survives).
Config: stt.local.no_speech_prob_threshold / logprob_threshold.
The WHISPER_HALLUCINATIONS blocklist in voice_mode.py stays as
last-resort defense but should now almost never fire.
E2E (real faster-whisper 'base', CPU int8):
silence.wav before 'You' -> after ''
noise.wav before '' -> after ''
speech.wav before/after 'Hello World, this is a test of the
transcription system.' (unchanged)
Docs (EN + zh-Hans), DEFAULT_CONFIG, cli-config.yaml.example updated;
19 unit tests (kwargs contract, off-switch, confidence gate incl.
quiet-speech survival, _transcribe_local wiring), sabotage-verified.
Adds gpt-transcribe (OpenAI's new file-transcription model, $0.0045/min)
to the OpenAI STT provider:
- OPENAI_MODELS set: gpt-transcribe is recognized so provider
auto-correction keeps it on OpenAI and rejects it on Groq
- Language hint wiring: gpt-transcribe replaces the singular
'language' field with a 'languages' list; the API rejects the legacy
field, so the hint is sent via extra_body {languages: [..]}
- Config comment (DEFAULT_CONFIG), cli-config.yaml.example, desktop
settings enum, and docs (en + zh-Hans) updated
- Tests: model pass-through, languages-list hint shape, legacy singular
hint preserved for gpt-4o-transcribe, Groq auto-correction
gpt-live-transcribe (realtime WebSocket, $0.017/min) is NOT wired here:
the file-based STT pipeline has no realtime session path; it belongs in
a future realtime/voice-mode integration.
Three mechanisms to detect and notify when gateway sessions stall silently:
1. Mid-turn activity heartbeats stamped to SessionDB so hermes sessions list
and hermes status show progress during long turns without new message rows.
2. Stall watchdog: when a busy session has pending inbound and the shared
activity clock is idle past agent.session_stall_timeout (default 300),
log a WARNING and notify the user once to try /new. Notify-only; does
not kill the turn.
3. Compaction timeout: fenceless compress_context callers get a progress-aware
host budget (compression.context_timeout_seconds default 120 idle,
compression.context_total_ceiling_seconds default 600 ceiling). On timeout,
cancel via commit fence, skip compaction without dropping messages, and
continue the turn.
Closes#72016 (slices 1-3; slice 4 cumulative SSE stream-retry deadline
remains a follow-up).
Cherry-picked from PR #72424 by @fangliquanflq.
The default max_iterations/agent.max_turns budget was set when long
agentic runs were rare; complex tasks now routinely exceed 90 tool
calls. Raise the default to 500 across every surface that hardcodes
the fallback: AIAgent constructor, DEFAULT_CONFIG, CLI resolution
chain, gateway env bridge, cron scheduler, and TUI gateway. Explicit
user config values are unaffected (deep-merge preserves them; no
_config_version bump needed).
Docs (en + zh-Hans), CLI help text, tips, and pinned tests updated
to match.
Removes Homebrew and PyPI wheel/sdist as Hermes distribution paths while
preserving the supported source, Docker, and Nix workflows.
Changes:
- Removes the Homebrew formula, PyPI publish workflow, sdist manifest
(MANIFEST.in), and wheel/sdist release-attachment logic from scripts/release.py.
- Keeps setuptools metadata and entry points required by editable installs
and Docker/Nix builds, but adds a setup.py guard that rejects wheel/sdist
builds outside a sealed Nix derivation (HERMES_NIX_BUILD=1).
- Removes pip/Homebrew install detection, PyPI update checks, the pip
self-update path, the deprecation-banner state, the postinstall subcommand,
wheel data-directory fallbacks in agent/i18n.py and hermes_constants.py,
and the ACP Registry manifest/version-lockstep release logic.
- Adds /nix/store/ path detection so `nix run` / `nix profile install`
installs (which don't set HERMES_MANAGED) are correctly identified as
"nix" rather than falling through to "git"/"unknown".
- Retired install-method values ("pip", "homebrew") in existing
.install_method stamps (both code-scoped and home-scoped) are ignored by
the allowlist reader and fall through to "unknown" instead of resurrecting
a retired enum value.
- Updates Nix packaging to ship bare runtime data (locales, optional-mcps)
through store symlinks and wrapper env vars instead of wheel data-files.
- Removes the ACP Registry manifest/icon and their version-lockstep tests.
- Deletes or rewrites packaging, pip-update, Homebrew, and ACP Registry
tests; adds parametrized coverage for the packaging build guard covering
BOTH sdist and wheel paths (the guards live in separate cmdclass entries
— a passing sdist test proves nothing about the wheel path).
- Updates installation/platform documentation and related user-facing copy.
- Adjusts the supply-chain scan so deleted install-hook files do not trigger
a finding, while additions or modifications still require the existing
ci-reviewed label gate.
Supported installation paths (unchanged):
- git installer (install.sh)
- Docker
- Nix/NixOS
- editable development installs (uv sync, uv pip install -e ., pip install -e .)
Follow-up to #59332 targeting the remaining PERCEIVED first-token latency
(the wire streaming was already per-token; these fix what the user sees):
1. display.show_reasoning default ON. On thinking models the reasoning
phase streams for tens of seconds; with the display off users stare
at a spinner the whole time and read it as a stall. Flipped in
DEFAULT_CONFIG, load_cli_config defaults, tui_gateway raw-YAML
fallbacks, and the hermes setup status line (all four read sites kept
in sync). Gateway per-platform defaults intentionally stay off —
messaging chats shouldn't fill with thinking text. /reasoning hide
still turns it off and persists.
2. Response box force-flushes long partial lines. _emit_stream_text only
painted on newline, so a response opening with a long paragraph
stayed invisible until the first \n — seconds of blank box. Now
partial lines wrap at terminal width and paint as tokens arrive
(mirrors the reasoning box's 80-char force-flush that existed since
day one). Table blocks remain batch-aligned; no content loss at wrap
boundaries (regression tests added).
3. hermes_time timezone resolution uses read_raw_config (mtime-cached +
libyaml C loader) instead of a raw yaml.safe_load of config.yaml
(~110-140ms measured) inside the FIRST system prompt build. First
build drops 320ms -> ~155ms on a 200-skill install.
4. Stale docs: configuration.md (en+zh) still documented the 70%/90%
[BUDGET WARNING] tool-result injections. Those were removed in April
2026 (c8aff7463) precisely because they hurt task completion; current
behavior is exhaustion-message + one grace call, no mid-loop
injection, no cache impact. Docs now describe reality.
Verified: token-count compression decisions already use API-reported
last_prompt_tokens (rough estimators are preflight-only and cost ~1.7ms
even on 1.7MB histories — not worth touching).
* feat(providers): remove google-gemini-cli + google-antigravity OAuth providers
Google now actively bans accounts for third-party tools that piggyback on
Gemini CLI / Antigravity / Code Assist OAuth, and because abuse prevention
sits at a backend layer the ban can extend to the entire Google account
(Gmail/Drive), with a second violation being permanent.
Ref: https://github.com/google-gemini/gemini-cli/discussions/20632
Removes both OAuth inference providers entirely (modules, provider profiles,
auth/runtime/config/models wiring, the /gquota Code Assist quota command,
the antigravity-cli optional skill, desktop + docs surface in en + zh-Hans).
The API-key 'gemini' provider (GOOGLE_API_KEY/GEMINI_API_KEY against
generativelanguage.googleapis.com) is unaffected and stays fully supported.
* fix(skills): keep the antigravity-cli skill — only the OAuth provider is removed
The antigravity-cli optional skill orchestrates the external `agy` binary as
a coding-agent tool via the terminal tool — it does NOT wrap Hermes inference
through the banned google-antigravity OAuth provider, so it carries none of
the account-ban risk that motivated removing that provider. Restore the skill,
its docs page, the sidebar entry, and the optional-skills catalog row. The
google-antigravity / google-gemini-cli inference providers stay fully removed.
The gateway pre-compression hygiene valve force-compressed any session
crossing 400 messages regardless of token usage. On large-context (1M+)
models doing many short, message-dense turns, a healthy session at ~16%
token usage could hit 400 messages and get force-compressed — and the
compression summary's stale Active Task could then bleed into the next
turn.
The valve's actual purpose is to break a death spiral: when API calls
keep disconnecting on an oversized session, no token-usage data arrives,
the token threshold never fires, and the transcript grows unbounded.
It's a count-based floor for that pathological case only. 400 was tuned
for ~200K-context models and is far too low for modern large-context
sessions. Raise the default to 5000 — still well clear of any death
spiral, but no longer firing on legitimate long conversations.
The value remains fully configurable via compression.hygiene_hard_message_limit.
Mirrors the EN deep-audit fixes (PR #40952) into the zh-Hans translation so the
two locales agree. zh-Hans is the only non-English locale; 26 translated pages
carried the same stale claims.
Corrections ported (code tokens identical across locales; prose re-translated
where the surrounding text was already Chinese):
- reference: /version slash command + dual-surface list; cli --provider adds
openai-api + novita aliases; tool count 70->71 (+ removed phantom "10 RL tools"
and fixed kanban 7->9); model_catalog ttl 24->1.
- user-guide: hermes -w -q -> -w -z; language list 8->16; aux slots 8->11;
docker separate-dashboard claim; gateway-streaming per-platform note;
computer-use frontmatter.
- features: curator prune_builtins truth; codex-runtime aux keys
(context_compression->compression, vision_detect->vision); voice-mode STT/TTS
enums; removed phantom rl toolset.
- integrations: StepFun step-3-mini->step-3.5-flash; web-search backends 4->8;
nous-portal status subcommand.
- messaging: WeCom typing/streaming columns; telegram transport default
edit->auto; sms host 0.0.0.0->127.0.0.1; simplex/ntfy gateway-setup + pairing
approve; line smart-chunking; matrix MATRIX_DM_AUTO_THREAD; msgraph host note.
- developer-guide: entry-point group hermes.plugins->hermes_agent.plugins;
PLUGIN.yaml->plugin.yaml.
Net-new EN sections (mcp mTLS, api-server run-approval, kanban CLI verbs) are
untranslated in zh-Hans and fall back to English source, consistent with the
mirror's existing partial-coverage state. Verified: docusaurus build --locale
zh-Hans succeeds; no new broken anchors from these edits.
The web_crawl_tool() function was an orphan — no model schema registered
it, no skill or CLI command called it, and the agent had no way to invoke
it. PR #32608 proposed wiring it up as a model-callable tool; we've
decided not to expose crawl as a separate capability since web_search +
web_extract cover the use cases we want models to have.
Removed:
- tools/web_tools.py: web_crawl_tool() (~230 LOC)
- plugins/web/firecrawl/provider.py: supports_crawl() + crawl()
- plugins/web/tavily/provider.py: supports_crawl() + crawl()
- plugins/web/xai/provider.py: supports_crawl() override
- agent/web_search_provider.py: supports_crawl() + crawl() ABC methods
- agent/web_search_registry.py: get_active_crawl_provider() +
the 'crawl' branch in _resolve()
- agent/display.py: web_crawl tool-progress rendering
- hermes_cli/config.py: 'web_crawl' from TAVILY_API_KEY.tools
- tools/website_policy.py: stale comment reference
- Tests: removed TestWebCrawlTavily class, the two website-policy
web_crawl tests, the searxng/ddgs/brave-free crawl-error tests,
the integration test_web_crawl method, and the
test_unconfigured_crawl_emits_top_level_error test. Trimmed the
capability-flag parametrize list and the WebSearchProvider ABC
conformance tests.
- Docs: trimmed the Crawl column from capability tables in both EN
and zh-Hans, updated the developer-guide ABC table.
Net: 25 files, +115/-1067.
Closes#33762 (the schema-text bug only existed if #32608 landed).
Supersedes #32608.
* remove Vercel AI Gateway provider and Vercel Sandbox terminal backend
Both Vercel-hosted integrations are removed end-to-end. Users on the AI
Gateway should switch to OpenRouter or one of the other aggregators
(Nous Portal, Kilo Code). Users on the Vercel Sandbox backend should
switch to Docker, Modal, Daytona, or SSH.
What's removed:
- `plugins/model-providers/ai-gateway/` provider plugin
- `hermes_cli/vercel_auth.py` Vercel-Sandbox auth helper
- `tools/environments/vercel_sandbox.py` terminal backend
- `ai-gateway` provider wiring across auth, doctor, setup, models,
config, status, providers, main, web_server, model_normalize, dump
- `vercel_sandbox` backend wiring across terminal_tool, file_tools,
code_execution_tool, file_operations, approval, skills_tool,
environments/local, credential_files, lazy_deps, prompt_builder,
cli, gateway/run
- `AI_GATEWAY_BASE_URL` constant, `_AI_GATEWAY_HEADERS` auxiliary-client
header set, run_agent base-URL header/reasoning special-cases
- `[vercel]` pyproject extra and `vercel`/`vercel-workers` from uv.lock
- env vars: `AI_GATEWAY_API_KEY`, `AI_GATEWAY_BASE_URL`, `VERCEL_TOKEN`,
`VERCEL_PROJECT_ID`, `VERCEL_TEAM_ID`, `VERCEL_OIDC_TOKEN`,
`TERMINAL_VERCEL_RUNTIME`
- Tests: deletes test_ai_gateway_models.py and
test_vercel_sandbox_environment.py; scrubs references across 23
surviving test files (no entire tests deleted unless they were
dedicated to AI Gateway / Sandbox)
- Docs: provider tables, env-var reference, setup guides, security
notes, tool config, terminal-backend tables — English plus zh-Hans
i18n parity
- `hermes-agent` skill: provider table entry and remote-backend list
What stays (intentional):
- `popular-web-designs/templates/vercel.md` — CSS design reference,
unrelated to Vercel-the-AI-product
- `x-vercel-id` in `stream_diag.py` headers — generic Vercel CDN
response header, useful diag signal on any Vercel-hosted endpoint
- `vercel-labs/agent-browser` URL in browser config — lightpanda
browser project, different OSS effort
- `userStories.json` historical contributor entry mentioning Vercel
Sandbox — archive, not active docs
Validation:
- 1153 tests in the 22 targeted files pass (`scripts/run_tests.sh`)
- Full repo `py_compile` clean
- Live import of every touched module + invariant check (no
`ai-gateway` in `PROVIDER_REGISTRY`, no `_AI_GATEWAY_HEADERS`, no
`vercel_sandbox` in `_REMOTE_TERMINAL_BACKENDS`)
* test: convert profile-count check from change-detector to invariant
The hardcoded "== 34" assertion broke when ai-gateway was removed.
Per AGENTS.md change-detector-test guidance, assert the relationship
(registry count >= number of plugin dirs) instead of a literal count.
Counts shift when providers are added/removed; that's expected.
Translates the full English docs corpus (335 files) into Simplified
Chinese under website/i18n/zh-Hans/. Combined with PR #31895 (cross-
locale link fix), the 简体中文 locale toggle now serves a complete
Chinese site with working cross-page navigation.
Pipeline:
- Claude Sonnet 4.6 via OpenRouter, 8-way concurrent
- Preserves frontmatter keys, code blocks, MDX/JSX, link URLs, brand
names, and technical jargon (prompt/token/hook/MCP/ACP/etc.)
- Translates only frontmatter title/description and prose
- Two largest files (configuration.md 93KB, research-paper-writing.md
107KB) retried with 64K max_tokens after initial fence-drift
- 3 manual post-fixes for MDX edge cases the model didn't escape:
< in optional-skills-catalog table, double-quotes in an alt= tag,
and a bare URL adjacent to a full-width period
Cost: ~$30 total (Sonnet 4.6 input $3/M + output $15/M).
Verified `npm run build` succeeds for both en and zh-Hans locales,
no double-prefixed /docs/zh-Hans/docs/ URLs in rendered output,
all in-page navigation resolves correctly.
Translations are machine-generated and may need human review on
specific pages — but they're an enormous improvement over the
previous state (3 zh-Hans pages out of 335).
Teknium
fangliquanflq
fangliquanflq
kshitijk4poor
ethernet
virtuadex
GauravPatil2515
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