* docs(secrets): secret-source plugin developer guide + sidebar registration for 1Password page
- New developer-guide/secret-source-plugin.md: SecretSource contract
(never raises/prompts, fetch-only, timeout budget), framework-vs-plugin
ownership table, mapped-vs-bulk shape guidance, run_secret_cli()
subprocess-safety, registration + timing note, conformance kit usage,
ErrorKind reference.
- Register user-guide/secrets/onepassword in the sidebar (page shipped
in #59498 but was not listed, so it was unreachable from nav).
- Cross-link the user-guide plugin section to the new dev guide.
* docs: group all plugin guides under a Plugins subcategory in Extending
- Move guides/build-a-hermes-plugin.md -> developer-guide/plugins/index.md
(both locales) and make it the category landing page (slug pinned to
/developer-guide/plugins).
- New sidebar subcategory Developer Guide > Extending > Plugins holding
the general guide + all 8 provider-plugin docs (llm-access, memory,
context-engine, secret-source, model, image-gen, video-gen, web-search);
provider-doc URLs unchanged.
- Client redirect /guides/build-a-hermes-plugin -> /developer-guide/plugins.
- Update 30 cross-links across both locales.
/model switches, primary-model fallback, and credential-pool key
rotation all change the prompt-cache key (model and/or account), so
the next turn re-reads the entire conversation at full input price.
Add cost warnings everywhere docs recommend or describe these paths:
- reference/slash-commands.md: cost note on both /model rows
- user-guide/features/fallback-providers.md: warning admonition
- user-guide/features/credential-pools.md: warning admonition
- user-guide/configuring-models.md: mid-session switch warning
- guides/tips.md: expand cache tip + /model tip
- reference/faq.md: warning on the switch-back-and-forth example
- user-guide/desktop.md: composer picker bullet
- developer-guide/context-compression-and-caching.md: new
cache-aware design pattern (model identity is part of the key)
Both wired against features the iron-proxy author (@mslipper) confirmed on
PR #30179 — and both verified present in the pinned v0.39.0 source.
Header-auth providers (match_headers):
- New _HEADER_AUTH_PROVIDERS: Anthropic native (x-api-key), Azure OpenAI
(api-key on *.openai.azure.com / *.cognitiveservices / *.services.ai),
Gemini (x-goog-api-key + ?key= query param via match_query).
- TokenMapping grows match_headers + alias_env_names; per-provider header
sets flow into the secrets rules; mappings.json roundtrips them
(legacy files load with the Authorization default).
- GEMINI_API_KEY / GOOGLE_API_KEY collapse into ONE mapping (two
require-rules on the same host would reject each other); the sandbox
gets the token under both names, and the proxy child env mirrors the
alias into the canonical name when only the alias is set.
- Docker backend injects alias env names alongside canonical ones.
- The fail-closed tier is now empty, so fail_on_uncovered_providers and
discover_blocked_providers are deleted (dead toggle otherwise);
_NON_BEARER_PROVIDERS shrinks to genuinely-unswappable signature auth
(AWS SigV4, GCP service-account OAuth) — warn-only, as before.
Management API (hot reload):
- Generated proxy.yaml enables the v0.39 management listener: loopback
only at tunnel_port+2, bearer key from HERMES_IRON_PROXY_MGMT_KEY.
- Key minted at setup (management.token, 0600); start_proxy injects it
(v0.39 refuses to start when api_key_env is empty).
- hermes egress reload -> POST /v1/reload: re-reads proxy.yaml and
atomically swaps the pipeline; 422 leaves the running ruleset
untouched; actionable errors for not-running / pre-management config /
key mismatch. Secrets changes still require restart (daemon env is
read at spawn) — the CLI says so.
Validation: 218/218 unit+CLI+docker tests; 3/3 gated live E2E against the
real v0.39.0 binary (Authorization swap, x-api-key swap, live reload with
token rotation on the same pid). Docs updated.
@janrenz's PR #35862 added prompt_caching.enabled=false at init only. But
_anthropic_prompt_cache_policy re-derives _use_prompt_caching on every /model
switch (agent_runtime_helpers) and fallback-model swap (chat_completion_helpers),
which re-enabled markers and re-broke the strict proxy the toggle was meant to fix.
Move the kill switch into anthropic_prompt_cache_policy so it returns (False, False)
on every path. Drop the now-redundant init-time override (kept @janrenz's isinstance
hardening on the cache_ttl read). Add policy-level tests + docs for the toggle.
Follow-up to salvaged PR #35862.
Cron pre-run scripts were capped at 120s by default, which surprised
users running long data-collection scripts on crons (the whole point of
crons being to offload long work). Raise _DEFAULT_SCRIPT_TIMEOUT to 3600s
(1 hour).
This bounds the script only — skill/agent jobs already run on a separate
inactivity budget (HERMES_CRON_TIMEOUT, default 600s idle, 0=unlimited),
not a wall-clock cap. Scripts dispatch to a persistent thread pool and do
not hold the tick lock, so a long script doesn't starve other due jobs.
Docs clarified to make the script-vs-agent timeout distinction explicit.
env/config overrides (HERMES_CRON_SCRIPT_TIMEOUT,
cron.script_timeout_seconds) unchanged and still take precedence.
A manually-installed venv inside the cloned repo can be destroyed by the
agent running a relative-path command against its own checkout (rm -rf venv,
uv venv venv, etc.), silently wiping the running runtime mid-session. Moving
the canonical manual-install venv to ~/.hermes/venvs/hermes-dev means no
relative path from the agent's workspace resolves to its own runtime, making
the bug class impossible without any command-detection code.
Closes the root cause of #7779. The managed install.sh layout is unchanged.
The cron delivery table only showed Discord/Telegram with explicit
target syntax and described Slack and every other platform as
home-channel-only. In fact the generic platform:<target> routing in
_resolve_single_delivery_target resolves explicit targets for every
platform: Slack (#channel / channel ID / channel:thread_ts), Matrix
(room/user IDs), Feishu (chat:thread), WhatsApp (JID / E.164), Signal
(group / E.164), SMS, Email, and Weixin all have dedicated explicit-
target branches in _parse_target_ref; the remaining platforms accept a
generic platform:<chat_id> passthrough.
Update the Delivery Model table (en + zh-Hans) to show the real
per-platform syntax, document #channel name resolution via the channel
directory, and note the Slack thread_ts nuance. Docs-only.
Rebuilds the iron-proxy egress feature cleanly onto current main. The
original feat/iron-proxy branch had diverged from main with an
unmergeable history (no usable merge-base after main history motion),
so the feature's content diff was re-applied onto a fresh main cut and
the three config/docs conflicts (commands.py status/egress, config.py
proxy vs computer_use, slash-commands.md) resolved keeping main's
content plus the egress additions.
Optional, off-by-default TLS-intercepting egress proxy for remote
terminal sandboxes. Sandboxes hold opaque proxy tokens; iron-proxy
swaps them for real provider API keys at the network boundary.
Includes the full review-cycle hardening:
- P0/P1/P2 rounds (GodsBoy, stephenschoettler, arshkumarsingh,
annguyenNous, maxpetrusenko, sxuff findings)
- v0.39 schema realignment + Docker bridge-bind/listener-role fixes
- Docker UX/enforcement hardening
Salvaged security fixes folded in with credit:
- Three P0 gaps (version-probe env scrub, Bitwarden ImportError
fail-closed, container-reuse egress-boundary) + Docker v29.5.3
empty-label edge — kuangmi-bit (#48073)
- P1/P2 (fail-closed replace.require:true, NODE_OPTIONS CA-flag
conflict, GPG checksum verify, threat-model wording) — Bartok9 (#48076)
Co-authored-by: kuangmi-bit <kuangmi@deeparchi.com>
Co-authored-by: Bartok9 <danielrpike9@gmail.com>
Sibling-site follow-up to the AGENTS.md token-lock fix (#50481). Platform
adapters migrated from gateway/platforms/<name>.py to
plugins/platforms/<name>/adapter.py; a handful (signal, weixin, bluebubbles,
qqbot, yuanbao, msgraph_webhook, webhook, api_server) still live in
gateway/platforms/.
- adding-platform-adapters.md: new-adapter creation path + reference-impl table
- gateway-internals.md: rewrite the adapter tree to reflect the actual split
- zh-Hans mirrors of both kept in parity
- scripts/release.py: add TutkuEroglu to AUTHOR_MAP (CI gate)
* 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.
* feat(image-gen): add image-to-image / editing to image_generate
Brings image generation to parity with video generation: the unified
image_generate tool now edits/transforms a source image (image-to-image)
when given image_url / reference_image_urls, routing to each backend's
edit endpoint, exactly as video_generate routes to image-to-video.
- ImageGenProvider ABC: generate() gains keyword-only image_url +
reference_image_urls; new capabilities() declares modalities +
max_reference_images (defaults to text-only, backward compatible).
success_response gains a modality field; adds normalize_reference_images.
- image_generate tool: schema exposes image_url + reference_image_urls;
dynamic schema reflects the active model's actual edit capability so the
agent knows when image_url is honored. Handler + plugin dispatch forward
the new inputs; legacy/text-only providers get a clear modality_unsupported
error instead of silently dropping the source image.
- In-tree FAL: 7 models gain edit endpoints (flux-2-klein, flux-2-pro,
nano-banana-pro, gpt-image-1.5, gpt-image-2, ideogram/v3, qwen-image)
with per-model edit_supports whitelists + reference caps; routes to the
/edit endpoint and skips the upscaler for edits.
- Plugins: openai (images.edit, 16 refs), xai (/v1/images/edits via
grok-imagine-image-quality, JSON body per xAI docs), krea
(image_style_references, 10 refs). openai-codex stays text-only and
rejects edits with an actionable error.
- Tests: 15 new (payload, routing, dispatch forwarding, dynamic schema,
capabilities); updated 2 change-detector/lambda tests for the new schema.
- Docs: image-generation feature page, image-gen provider plugin guide,
tools reference.
* fix(image-gen): preserve legacy passthrough in fal/krea plugin tests
Two existing plugin tests asserted pre-image-to-image behavior:
- fal: forward image_url/reference_image_urls only when supplied, so a
text-to-image delegation stays byte-identical (no None kwargs).
- krea: keep dict-shaped image_style_references refs verbatim (the unified
string refs go through normalize_reference_images; legacy non-string ref
objects pass through unchanged) — fixes KeyError when callers pass the
richer Krea ref-object shape.
* fix(image-gen): clearer not-capable message for text-to-image-only models
When a text-to-image-only model (incl. gpt-image-2 on the Codex OAuth path,
which can't do editing through the Responses image_generation tool) gets a
source image, say 'this model is not capable of image-to-image / editing —
provide a text-only prompt' rather than sending the user shopping for other
backends. Applies to the openai-codex guard, the in-tree FAL no-edit-endpoint
error, and the dynamic tool-schema text-only line.
Adds a 'Customizing platform hints' section to the Prompt Assembly
developer guide covering the append/replace/shorthand shapes, the
defensive fallback, and the cache-stable lifecycle (stable tier,
resolved at build time).
Phase 4F (F.1 + F.2 + F.3, agent side). F.4 is the operator-run live smoke
(needs a NAS deployment); recorded in the PR, not code.
F.1 — on_jobs_changed wiring:
- cron/scheduler.py: _notify_provider_jobs_changed() — resolve the active
provider, call on_jobs_changed(), swallow errors. Lives in scheduler.py (not
jobs.py) so the store stays free of provider imports (no import cycle).
- Wired at the consumer surfaces AFTER a successful mutation: the cronjob model
tool (tools/cronjob_tools.py, create/update/remove/pause/resume) — which the
`hermes cron` CLI also routes through — and the REST handlers
(gateway/platforms/api_server.py, same five). Built-in's no-op default = zero
behavior change on the default path. Sleeping-agent direct jobs.json writes
(no tool/CLI/REST) are covered by reconcile-on-wake in start().
F.2 — config: cron.chronos.{portal_url,callback_url,expected_audience,
nas_jwks_url}. All non-secret; the agent holds no scheduler creds and the
outbound provision call reuses the existing Nous token (no token key). Additive
deep-merge key, no version literal.
F.3 — docs:
- docs/chronos-managed-cron-contract.md: authoritative agent↔NAS wire contract
(the three agent-cron endpoints + inbound /api/cron/fire + the 3-hop trust
model + at-most-once/re-arm semantics). This is what the NAS-side agent builds
against.
- cron-internals.md: "Managed cron (Chronos) for scale-to-zero" section.
- cli-commands.md: cron.provider accepts chronos + the cron.chronos.* keys.
- User docs name no scheduler vendor (QStash is a NAS-internal detail).
INVARIANT re-verified: zero qstash/upstash hits across plugins/cron, gateway,
hermes_cli, tools, website/docs (the one remaining repo hit is an unrelated
Context7 MCP comment in tools/mcp_tool.py).
Tests: test_jobs_changed_notify (5) — notify calls provider hook, swallows
errors, built-in harmless, tool create/remove notify. Full cron + chronos +
webhook + config + api_server_jobs suites green (504 in the cron+chronos+webhook
run).
Phase 3.5. cron-internals.md gateway-integration section now describes the
pluggable trigger (resolve_cron_scheduler, built-in default, plugins/cron
discovery, the never-without-a-trigger fallback, and the trigger-vs-execution
split). cli-commands.md notes cron.provider near the hermes cron entry.
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.
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.
* fix(openrouter): route reasoning_effort to verbosity for adaptive Anthropic models
Reasoning-mandatory Anthropic models (Claude 4.6+/fable/mythos-class) over
OpenRouter ignore reasoning.effort and use adaptive thinking. #42991 correctly
stopped Hermes from sending a reasoning field to them (it 400s), but put nothing
in its place — leaving agent.reasoning_effort a silent no-op on the OpenRouter
path: the model always ran at its adaptive default (high) regardless of config.
OpenRouter honors the requested effort on the top-level verbosity field instead
(maps to Anthropic output_config.effort). Route the existing
reasoning_config[effort] there for these models while still never emitting a
reasoning field, preserving the #42991 fix. No new config arg — the value the
user already sets via agent.reasoning_effort now flows to verbosity.
- low/medium/high/xhigh/max pass through verbatim (OpenRouter accepts the
extended scale for Claude; verified live HTTP 200 + monotonic token spend).
- effort unset/none/disabled omits verbosity so the model keeps its default.
- native Anthropic transport already correct; unchanged.
Fixes#43432
* test(openrouter): cover real effort range (add minimal, frame max as passthrough)
Adversarial review noted the verbosity tests looped over 'max' — a value
parse_reasoning_effort can never produce — while omitting 'minimal', which it
can. Align the routing test with the real config range
(VALID_REASONING_EFFORTS = minimal/low/medium/high/xhigh) and keep a separate
value-agnostic passthrough test that documents why xhigh/max must survive
verbatim (TypedDict, no runtime literal validation; OpenRouter accepts the
extended scale for Claude).
* docs: explain reasoning_effort -> verbosity routing for adaptive Anthropic models
Document that reasoning_effort transparently maps to OpenRouter's verbosity
field for adaptive-thinking Anthropic models (Claude 4.6+/Fable/Mythos), where
reasoning.effort is ignored. Note xhigh is the configurable ceiling (max is wire-
only). Add verbosity as a top-level-kwarg example in the provider-plugin guide.
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)
Follow-up to #38089. The merged PR removed --recurse-submodules from the
installer, CI, and getting-started docs, but missed the same stale clause in:
- CONTRIBUTING.md (Prerequisites table)
- website/docs/developer-guide/contributing.md (table + clone command)
- zh-Hans mirror of the developer-guide contributing doc
git-lfs is kept in the Git requirement rows since it's a separate, real
prerequisite. No .gitmodules has existed since the Atropos RL submodule was
removed in #26106.
Native Windows is out of beta. Removes the early-beta warnings, headings,
and rough-edge framing across the README and docs (EN + zh-Hans), keeping
the WSL2-only dashboard PTY caveat. Historical RELEASE_v0.14.0.md notes are
left intact since they accurately describe the state at that release.
- README: Windows install + cross-platform notes
- index.mdx, installation.md: headings, warning admonitions, parity note
- windows-native.md: title/sidebar_label/warning, provider-hunting tip
- contributing.md, nous-portal.md: cross-platform / Portal parity prose
- Repoint cross-links to the renamed installation#windows-native-powershell
anchor (EN) and #windows原生powershell (zh, also fixes pre-existing drift)
The compression threshold is threshold × context_length where context_length
is the MAIN agent model's window, not the auxiliary/summary model's. On a
262,144-token model at the default 0.50 the threshold is 131,072 — close to a
common 128K figure by coincidence of the percentage, which has led to confusion
that the auxiliary model's context limit is the trigger. Add a note preempting
that misreading and pointing to the separate summary-model-context constraint.
- Replace outdated linear ordering in prompt-assembly guide with
current stable/context/volatile tier contract from system_prompt.py
- Clarify where memory/profile snapshots live versus skills guidance
- Document that pre_llm_call context is user-message injection, not
cached system-prompt mutation
- Update architecture guide wording to reference system_prompt.py +
prompt_builder.py tiered assembly
Closes#34118
Adds an optional `messages` keyword to the `MemoryProvider.sync_turn`
contract so external/community memory plugins can receive the OpenAI-style
conversation message list for the completed turn — including assistant tool
calls and tool result content — not just the final assistant text.
Dispatch uses signature inspection (`_provider_sync_accepts_messages`): only
providers that declare a `messages` parameter (or `**kwargs`) receive it; all
existing in-tree providers keep their legacy text-only signature and are
called unchanged. No structured-trace envelope is added to core — providers
reconstruct whatever they need from the standard message list.
Also documents Memori as a standalone community memory provider.
Salvaged from #28065 — rebased onto current main.
Co-authored-by: Dave Heritage <david@memorilabs.ai>
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.
Add a first-class active-session orchestrator for the Ink TUI:
- list, activate, close, and launch live process-local TUI sessions
- hydrate committed and in-flight output when switching sessions
- dispatch a new prompt session from the +new row with session-scoped model picks
- expose a clickable live-session count in the status chrome
- preserve stable row order while initially focusing the current session
- support mouse hit-testing for floating orchestrator overlays
- add backend and frontend regression coverage for the lifecycle and UI helpers
The locale switcher appeared broken because hardcoded markdown links
(`](/docs/X)`) got double-prefixed by Docusaurus to `/docs/<locale>/docs/X`
(404) in non-English locales, and the MDX hero `<a href>` on the index
page escaped locale routing entirely.
Changes:
- Rewrite 922 `](/docs/X)` -> `](/X)` across 166 docs files (strip trailing
.md too). Docusaurus prepends locale + baseUrl itself.
- docs/index.md -> index.mdx; hero "Get Started" anchor -> Docusaurus
<Link> so it stays inside the active locale.
- Drop `ko` locale entirely from docusaurus.config.ts + delete i18n/ko/
(4 stale auto-translated kanban pages, <2% coverage, misleading).
Verified `npm run build` succeeds for both en and zh-Hans; `build/zh-Hans/
index.html` has no /docs/zh-Hans/docs/... double-prefixed paths.
PR2 will translate the 335 English docs into i18n/zh-Hans/.
Policy: if it ain't a secret it goes in config.yaml. HERMES_INFERENCE_PROVIDER
was leaking behavioral config into the .env surface, including from the gateway,
which bypassed config.yaml entirely.
Behavior:
- gateway/run.py: drop HERMES_INFERENCE_PROVIDER read in _resolve_runtime_agent_kwargs.
Gateway now flows through resolve_runtime_provider() with no `requested` override,
which reads model.provider from config.yaml first.
Docs/UX (strip env var from user-facing surface):
- --provider help text no longer mentions the env var
- cli-config.yaml.example same
- reference/environment-variables.md: remove HERMES_INFERENCE_PROVIDER row and
the cross-reference from HERMES_INFERENCE_MODEL
- reference/cli-commands.md: blank the env-var column for --provider
- guides/xai-grok-oauth.md, guides/minimax-oauth.md: replace
HERMES_INFERENCE_PROVIDER=x hermes invocations with config.yaml / --provider
- developer-guide/adding-providers.md, model-provider-plugin.md: reframe
Internal mechanism (kept as-is):
- hermes_cli/main.py writes HERMES_INFERENCE_PROVIDER into the TUI subprocess env
- tui_gateway/server.py reads it on TUI startup
- resolve_requested_provider() / oneshot.py / cli.py still fall through to the
env var as a last-resort behind config.yaml, which is what makes the TUI
parent->child handoff work
This stays. We just stop documenting it as a user knob.
Tests: tests/gateway/test_auth_fallback.py — simplify mock to fail on first
call, succeed on second; drop monkeypatch.setenv lines that no longer matter.
Supersedes #31064 (closed with credit to @novax635 who surfaced the underlying
issue but proposed aligning gateway *to* the env var rather than removing it).
Add browser CDP launch candidates for Chrome, Chromium, Brave, and Edge while preserving Chrome-first selection. Retry candidate launch failures instead of giving up after the first executable.
Update /browser CLI and TUI messaging, docs, and tool descriptions from Chrome-only wording to Chromium-family browser support. Add regression coverage for Brave/Edge paths, Chrome-first precedence, fallback launches, and CDP endpoint probing.
Follow-up to #29042 (xAI Web Search provider plugin). Adds xAI to the
canonical user-facing and developer-facing docs, with the search-only
caveat and the LLM-in-a-trench-coat trust model carried over from the
class docstring.
- user-guide/features/web-search.md
- Backends table: new xAI row + extended search-only note
- New 'xAI (Grok)' setup section with config knobs and trust-model
caution admonition
- Single-backend yaml comment now lists 'xai'
- Auto-detection table: explicitly note that xAI is NOT auto-detected
(XAI_API_KEY is shared with inference/TTS/image-gen so we don't
silently take over web for users who only set it for chat)
- developer-guide/web-search-provider-plugin.md
- Added plugins/web/xai/ to the 'study these next' reference list
- reference/environment-variables.md
- XAI_API_KEY description now also mentions web search
Companion PR to #27590. Sweeps remaining stale references to the
LLM-summary path that landed in main with #27590 but weren't fully
caught in the followup cleanup commit.
Real rewrites:
- user-guide/sessions.md: 'Session Search Tool' section rewritten to
describe the three calling shapes (discovery / scroll / browse) with
worked examples. Adds the 'Optional parameters' subsection covering
sort and role_filter.
- user-guide/features/memory.md: 'Session Search' overview rewritten,
comparison table updated (speed: ms instead of LLM summarization,
added explicit free-cost row, link to sessions.md for details).
Stale-claim sweeps:
- user-guide/configuring-models.md: drop the 'Session Search' row from
the aux-model override table (no aux model anymore), drop session
search from the auxiliary-models list.
- user-guide/features/codex-app-server-runtime.md: drop session_search
from the ChatGPT-subscription cost note, drop the session_search
block from the per-task override config example.
- developer-guide/provider-runtime.md: drop 'session search
summarization' from the auxiliary tasks list.
- developer-guide/agent-loop.md: drop session search from the
auxiliary fallback chain list.
- user-guide/skills/.../autonomous-ai-agents-hermes-agent.md: drop
session_search from the 'auxiliary models not working' debug step.
Untouched (still accurate as tool-name mentions, not behavioral claims):
- features/tools.md, features/honcho.md, features/acp.md
- cli.md, sessions.md (other sections)
- developer-guide/tools-runtime.md, agent-loop.md (line 157)
- acp-internals.md, adding-tools.md, prompt-assembly.md
- reference/toolsets-reference.md, reference/tools-reference.md
Introduces a thin CLI wrapper around the existing send_message_tool so
shell scripts, cron scripts, CI hooks, and monitoring daemons can reuse
the gateway's already-configured platform credentials without
reimplementing each platform's REST client.
hermes send --to telegram "deploy finished"
echo "RAM 92%" | hermes send --to telegram:-1001234567890
hermes send --to discord:#ops --file report.md
hermes send --to slack:#eng --subject "[CI]" --file build.log
hermes send --list # all targets
hermes send --list telegram # filter by platform
Supports all platforms the send_message tool already does (Telegram,
Discord, Slack, Signal, SMS, WhatsApp, Matrix, Feishu, DingTalk, WeCom,
Weixin, Email, etc.), including threaded targets and #channel-name
resolution via the channel directory.
hermes_cli/send_cmd.py delegates to tools.send_message_tool.send_message_tool,
which means there is zero new platform-specific code. The subcommand just:
1. Bridges ~/.hermes/.env and top-level ~/.hermes/config.yaml scalars into
os.environ (same bootstrap the gateway does at startup) — required so
TELEGRAM_HOME_CHANNEL and friends are visible to load_gateway_config().
2. Resolves the message body from positional arg, --file, or piped stdin.
3. Calls the shared tool and translates its JSON result to exit codes:
0 success, 1 delivery failure, 2 usage error.
No running gateway is required for bot-token platforms (Telegram, Discord,
Slack, Signal, SMS, WhatsApp) — the tool hits each platform's REST API
directly. Plugin platforms that rely on a live adapter connection still
need the gateway running; the error message is forwarded verbatim.
- New guide: website/docs/guides/pipe-script-output.md covering real-world
patterns (memory watchdogs, CI hooks, cron pipes, long-running task
completion pings) and the security/gateway notes.
- Cross-links added from automate-with-cron.md ("no LLM? use hermes send")
and developer-guide/gateway-internals.md (delivery-path section).
tests/hermes_cli/test_send_cmd.py (20 tests, all green):
- Happy paths: positional message, stdin, --file, --file -, --subject,
--json, --quiet.
- Error paths: missing --to, missing body, file not found, tool returns
error payload (exit 1), tool skipped-send result (exit 0).
- --list: human output, --json output, platform filter, unknown platform.
- Env loader: bridges config.yaml scalars into env, does not override
existing env vars, gracefully handles missing files.
- Registrar contract: register_send_subparser() returns a working parser.
Smoke-tested end-to-end against a live Telegram bot before commit.
