Follow-up on the native NVIDIA NIM provider salvage. The original PR wired
PROVIDER_REGISTRY + HERMES_OVERLAYS correctly but missed several touchpoints
required for full parity with other OpenAI-compatible providers (xai,
huggingface, deepseek, zai).
Gaps closed:
- hermes_cli/main.py:
- Add 'nvidia' to the _model_flow_api_key_provider dispatch tuple so
selecting 'NVIDIA NIM' in `hermes model` actually runs the api-key
provider flow (previously fell through silently).
- Add 'nvidia' to `hermes chat --provider` argparse choices so the
documented test command (`hermes chat --provider nvidia --model ...`)
parses successfully.
- hermes_cli/config.py: Register NVIDIA_API_KEY and NVIDIA_BASE_URL in
OPTIONAL_ENV_VARS so setup wizard can prompt for them and they're
auto-added to the subprocess env blocklist.
- hermes_cli/doctor.py: Add NVIDIA NIM row to `_apikey_providers` so
`hermes doctor` probes https://integrate.api.nvidia.com/v1/models.
- hermes_cli/dump.py: Add NVIDIA_API_KEY → 'nvidia' mapping for
`hermes dump` credential masking.
- tests/tools/test_local_env_blocklist.py: Extend registry_vars fixture
with NVIDIA_API_KEY to verify it's blocked from leaking into subprocesses.
- agent/model_metadata.py: Add 'nemotron' → 131072 context-length entry
so all Nemotron variants get 128K context via substring match (rather
than falling back to MINIMUM_CONTEXT_LENGTH).
- hermes_cli/models.py: Fix hallucinated model ID
'nvidia/nemotron-3-nano-8b-a4b' → 'nvidia/nemotron-3-nano-30b-a3b'
(verified against live integrate.api.nvidia.com/v1/models catalog).
Expand curated list from 5 to 9 agentic models mapping to OpenRouter
defaults per provider-guide convention: add qwen3.5-397b-a17b,
deepseek-v3.2, llama-3.3-nemotron-super-49b-v1.5, gpt-oss-120b.
- cli-config.yaml.example: Document 'nvidia' provider option.
- scripts/release.py: Map asurla@nvidia.com → anniesurla in AUTHOR_MAP
for CI attribution.
E2E verified: `hermes chat --provider nvidia ...` now reaches NVIDIA's
endpoint (returns 401 with bogus key instead of argparse error);
`hermes doctor` detects NVIDIA NIM when NVIDIA_API_KEY is set.
Adds NVIDIA NIM as a first-class provider: ProviderConfig in
auth.py, HermesOverlay in providers.py, curated models
(Nemotron plus other open source models hosted on
build.nvidia.com), URL mapping in model_metadata.py, aliases
(nim, nvidia-nim, build-nvidia, nemotron), and env var tests.
Docs updated: providers page, quickstart table, fallback
providers table, and README provider list.
Move moonshotai/kimi-k2.5 to position #1 in every model picker list:
- OPENROUTER_MODELS (with 'recommended' tag)
- _PROVIDER_MODELS: nous, kimi-coding, opencode-zen, opencode-go, alibaba, huggingface
- _model_flow_kimi() Coding Plan model list in main.py
kimi-coding-cn and moonshot lists already had kimi-k2.5 first.
Follow-ups to the salvaged commits in this PR:
* gateway/config.py — strip trailing whitespace from youngDoo's diff
(line 315 had ~140 trailing spaces).
* hermes_cli/tools_config.py — replace `config.get("platform_toolsets", {})`
with `config.get("platform_toolsets") or {}`. Handles the case where the
YAML key is present but explicitly null (parses as None, previously
crashed with AttributeError on the next line's .get(platform)).
Cherry-picked from yyq4193's #9003 with attribution.
* tests/gateway/test_config.py — 4 new tests for TestGetConnectedPlatforms
covering DingTalk via extras, via env vars, disabled, and missing creds.
* tests/hermes_cli/test_tools_config.py — regression test for the null
platform_toolsets edge case.
* scripts/release.py — add kagura-agent, youngDoo, yyq4193 to AUTHOR_MAP.
Co-authored-by: yyq4193 <39405770+yyq4193@users.noreply.github.com>
Adds 15 regression tests for hermes_cli/dingtalk_auth.py covering:
* _api_post — network error mapping, errcode-nonzero mapping, success path
* begin_registration — 2-step chain, missing-nonce/device_code/uri
error cases
* wait_for_registration_success — success path, missing-creds guard,
on_waiting callback invocation
* render_qr_to_terminal — returns False when qrcode missing, prints
when available
* Configuration — BASE_URL default + override, SOURCE default
Also adds a one-line disclosure in dingtalk_qr_auth() telling users
the scan page will be OpenClaw-branded. Interim measure: DingTalk's
registration portal is hardcoded to route all sources to /openapp/
registration/openClaw, so users see OpenClaw branding regardless of
what 'source' value we send. We keep 'openClaw' as the source token
until DingTalk-Real-AI registers a Hermes-specific template.
Also adds meng93 to scripts/release.py AUTHOR_MAP.
- feat: support one-click QR scan to create DingTalk bot and establish connection
- fix(gateway): wrap blocking DingTalkStreamClient.start() with asyncio.to_thread()
- fix(gateway): extract message fields from CallbackMessage payload instead of ChatbotMessage
- fix(gateway): add oapi.dingtalk.com to allowed webhook URL domains
The Copilot API returns HTTP 400 "model_not_supported" when it receives a
model ID it doesn't recognize (vendor-prefixed like
`anthropic/claude-sonnet-4.6` or dash-notation like `claude-sonnet-4-6`).
Two bugs combined to leave both formats unhandled:
1. `_COPILOT_MODEL_ALIASES` in hermes_cli/models.py only covered bare
dot-notation and vendor-prefixed dot-notation. Hermes' default Claude
IDs elsewhere use hyphens (anthropic native format), and users with an
aggregator-style config who switch `model.provider` to `copilot`
inherit `anthropic/claude-X-4.6` — neither case was in the table.
2. The Copilot branch of `normalize_model_for_provider()` only stripped
the vendor prefix when it matched the target provider (`copilot/`) or
was the special-cased `openai/` for openai-codex. Every other vendor
prefix survived to the Copilot request unchanged.
Fix:
- Add dash-notation aliases (`claude-{opus,sonnet,haiku}-4-{5,6}` and the
`anthropic/`-prefixed variants) to the alias table.
- Rewire the Copilot / Copilot-ACP branch of
`normalize_model_for_provider()` to delegate to the existing
`normalize_copilot_model_id()`. That function already does alias
lookups, catalog-aware resolution, and vendor-prefix fallback — it was
being bypassed for the generic normalisation entry point.
Because `switch_model()` already calls `normalize_model_for_provider()`
for every `/model` switch (line 685 in model_switch.py), this single fix
covers the CLI startup path (cli.py), the `/model` slash command path,
and the gateway load-from-config path.
Closes#6879
Credits dsr-restyn (#6743) who independently diagnosed the dash-notation
case; their aliases are folded into this consolidated fix alongside the
vendor-prefix stripping repair.
* feat(skills): add 'hermes skills reset' to un-stick bundled skills
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.
Adds an escape hatch for this case.
hermes skills reset <name>
Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
re-baselines against the user's current copy. Future 'hermes update'
runs accept upstream changes again. Non-destructive.
hermes skills reset <name> --restore
Also deletes the user's copy and re-copies the bundled version.
Use when you want the pristine upstream skill back.
Also available as /skills reset in chat.
- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
repro, --restore, unknown-skill error, upstream-removed-skill, and
no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
section explaining the origin-hash mechanic + reset usage
* fix(auth): codex auth remove no longer silently undone by auto-import
'hermes auth remove openai-codex' appeared to succeed but the credential
reappeared on the next command. Two compounding bugs:
1. _seed_from_singletons() for openai-codex unconditionally re-imports
tokens from ~/.codex/auth.json whenever the Hermes auth store is
empty (by design — the Codex CLI and Hermes share that file). There
was no suppression check, unlike the claude_code seed path.
2. auth_remove_command's cleanup branch only matched
removed.source == 'device_code' exactly. Entries added via
'hermes auth add openai-codex' have source 'manual:device_code', so
for those the Hermes auth store's providers['openai-codex'] state was
never cleared on remove — the next load_pool() re-seeded straight
from there.
Net effect: there was no way to make a codex removal stick short of
manually editing both ~/.hermes/auth.json and ~/.codex/auth.json before
opening Hermes again.
Fix:
- Add unsuppress_credential_source() helper (mirrors
suppress_credential_source()).
- Gate the openai-codex branch in _seed_from_singletons() with
is_source_suppressed(), matching the claude_code pattern.
- Broaden auth_remove_command's codex match to handle both
'device_code' and 'manual:device_code' (via endswith check), always
call suppress_credential_source(), and print guidance about the
unchanged ~/.codex/auth.json file.
- Clear the suppression marker in auth_add_command's openai-codex
branch so re-linking via 'hermes auth add openai-codex' works.
~/.codex/auth.json is left untouched — that's the Codex CLI's own
credential store, not ours to delete.
Tests cover: unsuppress helper behavior, remove of both source
variants, add clears suppression, seed respects suppression. E2E
verified: remove → load → add → load flow now behaves correctly.
* feat(skills): add 'hermes skills reset' to un-stick bundled skills
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.
Adds an escape hatch for this case.
hermes skills reset <name>
Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
re-baselines against the user's current copy. Future 'hermes update'
runs accept upstream changes again. Non-destructive.
hermes skills reset <name> --restore
Also deletes the user's copy and re-copies the bundled version.
Use when you want the pristine upstream skill back.
Also available as /skills reset in chat.
- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
repro, --restore, unknown-skill error, upstream-removed-skill, and
no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
section explaining the origin-hash mechanic + reset usage
* fix(nous): respect 'Skip (keep current)' after OAuth login
When a user already set up on another provider (e.g. OpenRouter) runs
`hermes model` and picks Nous Portal, OAuth succeeds and then a model
picker is shown. If the user picks 'Skip (keep current)', the previous
provider + model should be preserved.
Previously, \_update_config_for_provider was called unconditionally after
login, which flipped config.yaml model.provider to 'nous' while keeping
the old model.default (e.g. anthropic/claude-opus-4.6 from OpenRouter),
leaving the user with a mismatched provider/model pair on the next
request.
Fix: snapshot the prior active_provider before login, and if no model is
selected (Skip, or no models available, or fetch failure), restore the
prior active_provider and leave config.yaml untouched. The Nous OAuth
tokens stay saved so future `hermes model` -> Nous works without
re-authenticating.
Test plan:
- New tests cover Skip path (preserves provider+model, saves creds),
pick-a-model path (switches to nous), and fresh-install Skip path
(active_provider cleared, not stuck as 'nous').
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.
Adds an escape hatch for this case.
hermes skills reset <name>
Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
re-baselines against the user's current copy. Future 'hermes update'
runs accept upstream changes again. Non-destructive.
hermes skills reset <name> --restore
Also deletes the user's copy and re-copies the bundled version.
Use when you want the pristine upstream skill back.
Also available as /skills reset in chat.
- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
repro, --restore, unknown-skill error, upstream-removed-skill, and
no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
section explaining the origin-hash mechanic + reset usage
* feat(mcp-oauth): scaffold MCPOAuthManager
Central manager for per-server MCP OAuth state. Provides
get_or_build_provider (cached), remove (evicts cache + deletes
disk), invalidate_if_disk_changed (mtime watch, core fix for
external-refresh workflow), and handle_401 (dedup'd recovery).
No behavior change yet — existing call sites still use
build_oauth_auth directly. Task 1 of 8 in the MCP OAuth
consolidation (fixes Cthulhu's BetterStack reliability issues).
* feat(mcp-oauth): add HermesMCPOAuthProvider with pre-flow disk watch
Subclasses the MCP SDK's OAuthClientProvider to inject a disk
mtime check before every async_auth_flow, via the central
manager. When a subclass instance is used, external token
refreshes (cron, another CLI instance) are picked up before
the next API call.
Still dead code: the manager's _build_provider still delegates
to build_oauth_auth and returns the plain OAuthClientProvider.
Task 4 wires this subclass in. Task 2 of 8.
* refactor(mcp-oauth): extract build_oauth_auth helpers
Decomposes build_oauth_auth into _configure_callback_port,
_build_client_metadata, _maybe_preregister_client, and
_parse_base_url. Public API preserved. These helpers let
MCPOAuthManager._build_provider reuse the same logic in Task 4
instead of duplicating the construction dance.
Also updates the SDK version hint in the warning from 1.10.0 to
1.26.0 (which is what we actually require for the OAuth types
used here). Task 3 of 8.
* feat(mcp-oauth): manager now builds HermesMCPOAuthProvider directly
_build_provider constructs the disk-watching subclass using the
helpers from Task 3, instead of delegating to the plain
build_oauth_auth factory. Any consumer using the manager now gets
pre-flow disk-freshness checks automatically.
build_oauth_auth is preserved as the public API for backwards
compatibility. The code path is now:
MCPOAuthManager.get_or_build_provider ->
_build_provider ->
_configure_callback_port
_build_client_metadata
_maybe_preregister_client
_parse_base_url
HermesMCPOAuthProvider(...)
Task 4 of 8.
* feat(mcp): wire OAuth manager + add _reconnect_event
MCPServerTask gains _reconnect_event alongside _shutdown_event.
When set, _run_http / _run_stdio exit their async-with blocks
cleanly (no exception), and the outer run() loop re-enters the
transport to rebuild the MCP session with fresh credentials.
This is the recovery path for OAuth failures that the SDK's
in-place httpx.Auth cannot handle (e.g. cron externally consumed
the refresh_token, or server-side session invalidation).
_run_http now asks MCPOAuthManager for the OAuth provider
instead of calling build_oauth_auth directly. Config-time,
runtime, and reconnect paths all share one provider instance
with pre-flow disk-watch active.
shutdown() defensively sets both events so there is no race
between reconnect and shutdown signalling.
Task 5 of 8.
* feat(mcp): detect auth failures in tool handlers, trigger reconnect
All 5 MCP tool handlers (tool call, list_resources, read_resource,
list_prompts, get_prompt) now detect auth failures and route
through MCPOAuthManager.handle_401:
1. If the manager says recovery is viable (disk has fresh tokens,
or SDK can refresh in-place), signal MCPServerTask._reconnect_event
to tear down and rebuild the MCP session with fresh credentials,
then retry the tool call once.
2. If no recovery path exists, return a structured needs_reauth
JSON error so the model stops hallucinating manual refresh
attempts (the 'let me curl the token endpoint' loop Cthulhu
pasted from Discord).
_is_auth_error catches OAuthFlowError, OAuthTokenError,
OAuthNonInteractiveError, and httpx.HTTPStatusError(401). Non-auth
exceptions still surface via the generic error path unchanged.
Task 6 of 8.
* feat(mcp-cli): route add/remove through manager, add 'hermes mcp login'
cmd_mcp_add and cmd_mcp_remove now go through MCPOAuthManager
instead of calling build_oauth_auth / remove_oauth_tokens
directly. This means CLI config-time state and runtime MCP
session state are backed by the same provider cache — removing
a server evicts the live provider, adding a server populates
the same cache the MCP session will read from.
New 'hermes mcp login <name>' command:
- Wipes both the on-disk tokens file and the in-memory
MCPOAuthManager cache
- Triggers a fresh OAuth browser flow via the existing probe
path
- Intended target for the needs_reauth error Task 6 returns
to the model
Task 7 of 8.
* test(mcp-oauth): end-to-end integration tests
Five new tests exercising the full consolidation with real file
I/O and real imports (no transport mocks):
1. external_refresh_picked_up_without_restart — Cthulhu's cron
workflow. External process writes fresh tokens to disk;
on the next auth flow the manager's mtime-watch flips
_initialized and the SDK re-reads from storage.
2. handle_401_deduplicates_concurrent_callers — 10 concurrent
handlers for the same failed token fire exactly ONE recovery
attempt (thundering-herd protection).
3. handle_401_returns_false_when_no_provider — defensive path
for unknown servers.
4. invalidate_if_disk_changed_handles_missing_file — pre-auth
state returns False cleanly.
5. provider_is_reused_across_reconnects — cache stickiness so
reconnects preserve the disk-watch baseline mtime.
Task 8 of 8 — consolidation complete.
Mirrors OpenRouter which already lists anthropic/claude-opus-4.7 as
recommended. Surfaces the model in the `hermes model` picker and the
gateway /model flow for Nous Portal users.
Context length (1M) is already covered by the existing claude-opus-4.7
entry in agent/model_metadata.py DEFAULT_CONTEXT_LENGTHS.
* feat(image_gen): multi-model FAL support with picker in hermes tools
Adds 8 FAL text-to-image models selectable via `hermes tools` →
Image Generation → (FAL.ai | Nous Subscription) → model picker.
Models supported:
- fal-ai/flux-2/klein/9b (new default, <1s, $0.006/MP)
- fal-ai/flux-2-pro (previous default, kept backward-compat upscaling)
- fal-ai/z-image/turbo (Tongyi-MAI, bilingual EN/CN)
- fal-ai/nano-banana (Gemini 2.5 Flash Image)
- fal-ai/gpt-image-1.5 (with quality tier: low/medium/high)
- fal-ai/ideogram/v3 (best typography)
- fal-ai/recraft-v3 (vector, brand styles)
- fal-ai/qwen-image (LLM-based)
Architecture:
- FAL_MODELS catalog declares per-model size family, defaults, supports
whitelist, and upscale flag. Three size families handled uniformly:
image_size_preset (flux family), aspect_ratio (nano-banana), and
gpt_literal (gpt-image-1.5).
- _build_fal_payload() translates unified inputs (prompt + aspect_ratio)
into model-specific payloads, merges defaults, applies caller overrides,
wires GPT quality_setting, then filters to the supports whitelist — so
models never receive rejected keys.
- IMAGEGEN_BACKENDS registry in tools_config prepares for future imagegen
providers (Replicate, Stability, etc.); each provider entry tags itself
with imagegen_backend: 'fal' to select the right catalog.
- Upscaler (Clarity) defaults off for new models (preserves <1s value
prop), on for flux-2-pro (backward-compat). Per-model via FAL_MODELS.
Config:
image_gen.model = fal-ai/flux-2/klein/9b (new)
image_gen.quality_setting = medium (new, GPT only)
image_gen.use_gateway = bool (existing)
Agent-facing schema unchanged (prompt + aspect_ratio only) — model
choice is a user-level config decision, not an agent-level arg.
Picker uses curses_radiolist (arrow keys, auto numbered-fallback on
non-TTY). Column-aligned: Model / Speed / Strengths / Price.
Docs: image-generation.md rewritten with the model table and picker
walkthrough. tools-reference, tool-gateway, overview updated to drop
the stale "FLUX 2 Pro" wording.
Tests: 42 new in tests/tools/test_image_generation.py covering catalog
integrity, all 3 size families, supports filter, default merging, GPT
quality wiring, model resolution fallback. 8 new in
tests/hermes_cli/test_tools_config.py for picker wiring (registry,
config writes, GPT quality follow-up prompt, corrupt-config repair).
* feat(image_gen): translate managed-gateway 4xx to actionable error
When the Nous Subscription managed FAL proxy rejects a model with 4xx
(likely portal-side allowlist miss or billing gate), surface a clear
message explaining:
1. The rejected model ID + HTTP status
2. Two remediation paths: set FAL_KEY for direct access, or
pick a different model via `hermes tools`
5xx, connection errors, and direct-FAL errors pass through unchanged
(those have different root causes and reasonable native messages).
Motivation: new FAL models added to this release (flux-2-klein-9b,
z-image-turbo, nano-banana, gpt-image-1.5, ideogram-v3, recraft-v3,
qwen-image) are untested against the Nous Portal proxy. If the portal
allowlists model IDs, users on Nous Subscription will hit cryptic
4xx errors without guidance on how to work around it.
Tests: 8 new cases covering status extraction across httpx/fal error
shapes and 4xx-vs-5xx-vs-ConnectionError translation policy.
Docs: brief note in image-generation.md for Nous subscribers.
Operator action (Nous Portal side): verify that fal-queue-gateway
passes through these 7 new FAL model IDs. If the proxy has an
allowlist, add them; otherwise Nous Subscription users will see the
new translated error and fall back to direct FAL.
* feat(image_gen): pin GPT-Image quality to medium (no user choice)
Previously the tools picker asked a follow-up question for GPT-Image
quality tier (low / medium / high) and persisted the answer to
`image_gen.quality_setting`. This created two problems:
1. Nous Portal billing complexity — the 22x cost spread between tiers
($0.009 low / $0.20 high) forces the gateway to meter per-tier per
user, which the portal team can't easily support at launch.
2. User footgun — anyone picking `high` by mistake burns through
credit ~6x faster than `medium`.
This commit pins quality at medium by baking it into FAL_MODELS
defaults for gpt-image-1.5 and removes all user-facing override paths:
- Removed `_resolve_gpt_quality()` runtime lookup
- Removed `honors_quality_setting` flag on the model entry
- Removed `_configure_gpt_quality_setting()` picker helper
- Removed `_GPT_QUALITY_CHOICES` constant
- Removed the follow-up prompt call in `_configure_imagegen_model()`
- Even if a user manually edits `image_gen.quality_setting` in
config.yaml, no code path reads it — always sends medium.
Tests:
- Replaced TestGptQualitySetting (6 tests) with TestGptQualityPinnedToMedium
(5 tests) — proves medium is baked in, config is ignored, flag is
removed, helper is removed, non-gpt models never get quality.
- Replaced test_picker_with_gpt_image_also_prompts_quality with
test_picker_with_gpt_image_does_not_prompt_quality — proves only 1
picker call fires when gpt-image is selected (no quality follow-up).
Docs updated: image-generation.md replaces the quality-tier table
with a short note explaining the pinning decision.
* docs(image_gen): drop stale 'wires GPT quality tier' line from internals section
Caught in a cleanup sweep after pinning quality to medium. The
"How It Works Internally" walkthrough still described the removed
quality-wiring step.
PR #4918 fixed the double-/v1 bug at fresh agent init by stripping the
trailing /v1 from OpenCode base URLs when api_mode is anthropic_messages
(so the Anthropic SDK's own /v1/messages doesn't land on /v1/v1/messages).
The same logic was missing from the /model mid-session switch path.
Repro: start a session on opencode-go with GLM-5 (or any chat_completions
model), then `/model minimax-m2.7`. switch_model() correctly sets
api_mode=anthropic_messages via opencode_model_api_mode(), but base_url
passes through as https://opencode.ai/zen/go/v1. The Anthropic SDK then
POSTs to https://opencode.ai/zen/go/v1/v1/messages, which returns the
OpenCode website 404 HTML page (title 'Not Found | opencode').
Same bug affects `/model claude-sonnet-4-6` on opencode-zen.
Verified upstream: POST /v1/messages returns clean JSON 401 with x-api-key
auth (route works), while POST /v1/v1/messages returns the exact HTML 404
users reported.
Fix mirrors runtime_provider.resolve_runtime_provider:
- hermes_cli/model_switch.py::switch_model() strips /v1 after the OpenCode
api_mode override when the resolved mode is anthropic_messages.
- run_agent.py::AIAgent.switch_model() applies the same strip as
defense-in-depth, so any direct caller can't reintroduce the double-/v1.
Tests: 9 new regression tests in tests/hermes_cli/test_model_switch_opencode_anthropic.py
covering minimax on opencode-go, claude on opencode-zen, chat_completions
(GLM/Kimi/Gemini) keeping /v1 intact, codex_responses (GPT) keeping /v1
intact, trailing-slash handling, and the agent-level defense-in-depth.
"Ink" is the React reconciler — implementation detail, not branding.
Consistent naming: the classic CLI is the CLI, the new one is the TUI.
Updated docs: user-guide/tui.md, user-guide/cli.md cross-link, quickstart,
cli-commands reference, environment-variables reference.
Updated code: main.py --tui help text, server.py user-visible setup
error, AGENTS.md "TUI Architecture" section.
Kept "Ink" only where it is literally the library (hermes-ink internal
source comments, AGENTS.md tree note flagging ui-tui/ as a React/Ink dir).
All 61 TUI-related tests green across 3 consecutive xdist runs.
tests/tui_gateway/test_protocol.py:
- rename `get_messages` → `get_messages_as_conversation` on mock DB (method
was renamed in the real backend, test was still stubbing the old name)
- update tool-message shape expectation: `{role, name, context}` matches
current `_history_to_messages` output, not the legacy `{role, text}`
tests/hermes_cli/test_tui_resume_flow.py:
- `cmd_chat` grew a first-run provider-gate that bailed to "Run: hermes
setup" before `_launch_tui` was ever reached; 3 tests stubbed
`_resolve_last_session` + `_launch_tui` but not the gate
- factored a `main_mod` fixture that stubs `_has_any_provider_configured`,
reused by all three tests
tests/test_tui_gateway_server.py:
- `test_config_set_personality_resets_history_and_returns_info` was flaky
under xdist because the real `_write_config_key` touches
`~/.hermes/config.yaml`, racing with any other worker that writes
config. Stub it in the test.
When the dashboard connects to a remote gateway via GATEWAY_HEALTH_URL,
display the URL instead of the remote PID (which is meaningless locally).
Falls back to PID display for local gateways as before.
- Backend: expose gateway_health_url in /api/status response
- Frontend: prefer gateway_health_url over PID in gatewayValue()
- Add truncate + title tooltip for long URLs that overflow the card
- Add min-w-0/overflow-hidden on status cards for proper truncation
- Tests: verify gateway_health_url in remote and no-URL scenarios
Users (Teknium) report missing debug reports before the 1-hour auto-delete
fires. 6 hours gives enough window for async bug-report triage without
leaving sensitive log data on public paste services indefinitely.
Applies to both the CLI (hermes debug share) and gateway (/debug) paths.
Adds Google Gemini TTS as the seventh voice provider, with 30 prebuilt
voices (Zephyr, Puck, Kore, Enceladus, Gacrux, etc.) and natural-language
prompt control. Integrates through the existing provider chain:
- tools/tts_tool.py: new _generate_gemini_tts() calls the
generativelanguage REST endpoint with responseModalities=[AUDIO],
wraps the returned 24kHz mono 16-bit PCM (L16) in a WAV RIFF header,
then ffmpeg-converts to MP3 or Opus depending on output extension.
For .ogg output, libopus is forced explicitly so Telegram voice
bubbles get Opus (ffmpeg defaults to Vorbis for .ogg).
- hermes_cli/tools_config.py: exposes 'Google Gemini TTS' as a provider
option in the curses-based 'hermes tools' UI.
- hermes_cli/setup.py: adds gemini to the setup wizard picker, tool
status display, and API key prompt branch (accepts existing
GEMINI_API_KEY or GOOGLE_API_KEY, falls back to Edge if neither set).
- tests/tools/test_tts_gemini.py: 15 unit tests covering WAV header
wrap correctness, env var fallback (GEMINI/GOOGLE), voice/model
overrides, snake_case vs camelCase inlineData handling, HTTP error
surfacing, and empty-audio edge cases.
- docs: TTS features page updated to list seven providers with the new
gemini config block and ffmpeg notes.
Live-tested against api key against gemini-2.5-flash-preview-tts: .wav,
.mp3, and Telegram-compatible .ogg (Opus codec) all produce valid
playable audio.
Replace the HERMES_ENABLE_NOUS_MANAGED_TOOLS env-var feature flag with
subscription-based detection. The Tool Gateway is now available to any
paid Nous subscriber without needing a hidden env var.
Core changes:
- managed_nous_tools_enabled() checks get_nous_auth_status() +
check_nous_free_tier() instead of an env var
- New use_gateway config flag per tool section (web, tts, browser,
image_gen) records explicit user opt-in and overrides direct API
keys at runtime
- New prefers_gateway(section) shared helper in tool_backend_helpers.py
used by all 4 tool runtimes (web, tts, image gen, browser)
UX flow:
- hermes model: after Nous login/model selection, shows a curses
prompt listing all gateway-eligible tools with current status.
User chooses to enable all, enable only unconfigured tools, or skip.
Defaults to Enable for new users, Skip when direct keys exist.
- hermes tools: provider selection now manages use_gateway flag —
selecting Nous Subscription sets it, selecting any other provider
clears it
- hermes status: renamed section to Nous Tool Gateway, added
free-tier upgrade nudge for logged-in free users
- curses_radiolist: new description parameter for multi-line context
that survives the screen clear
Runtime behavior:
- Each tool runtime (web_tools, tts_tool, image_generation_tool,
browser_use) checks prefers_gateway() before falling back to
direct env-var credentials
- get_nous_subscription_features() respects use_gateway flags,
suppressing direct credential detection when the user opted in
Removed:
- HERMES_ENABLE_NOUS_MANAGED_TOOLS env var and all references
- apply_nous_provider_defaults() silent TTS auto-set
- get_nous_subscription_explainer_lines() static text
- Override env var warnings (use_gateway handles this properly now)
Claude Opus 4.7 introduced several breaking API changes that the current
codebase partially handled but not completely. This patch finishes the
migration per the official migration guide at
https://platform.claude.com/docs/en/about-claude/models/migration-guideFixesNousResearch/hermes-agent#11137
Breaking-change coverage:
1. Adaptive thinking + output_config.effort — 4.7 is now recognized by
_supports_adaptive_thinking() (extends previous 4.6-only gate).
2. Sampling parameter stripping — 4.7 returns 400 for any non-default
temperature / top_p / top_k. build_anthropic_kwargs drops them as a
safety net; the OpenAI-protocol auxiliary path (_build_call_kwargs)
and AnthropicCompletionsAdapter.create() both early-exit before
setting temperature for 4.7+ models. This keeps flush_memories and
structured-JSON aux paths that hardcode temperature from 400ing
when the aux model is flipped to 4.7.
3. thinking.display = "summarized" — 4.7 defaults display to "omitted",
which silently hides reasoning text from Hermes's CLI activity feed
during long tool runs. Restoring "summarized" preserves 4.6 UX.
4. Effort level mapping — xhigh now maps to xhigh (was xhigh→max, which
silently over-efforted every coding/agentic request). max is now a
distinct ceiling per Anthropic's 5-level effort model.
5. New stop_reason values — refusal and model_context_window_exceeded
were silently collapsed to "stop" (end_turn) by the adapter's
stop_reason_map. Now mapped to "content_filter" and "length"
respectively, matching upstream finish-reason handling already in
bedrock_adapter.
6. Model catalogs — claude-opus-4-7 added to the Anthropic provider
list, anthropic/claude-opus-4.7 added at top of OpenRouter fallback
catalog (recommended), claude-opus-4-7 added to model_metadata
DEFAULT_CONTEXT_LENGTHS (1M, matching 4.6 per migration guide).
7. Prefill docstrings — run_agent.AIAgent and BatchRunner now document
that Anthropic Sonnet/Opus 4.6+ reject a trailing assistant-role
prefill (400).
8. Tests — 4 new tests in test_anthropic_adapter covering display
default, xhigh preservation, max on 4.7, refusal / context-overflow
stop_reason mapping, plus the sampling-param predicate. test_model_metadata
accepts 4.7 at 1M context.
Tested on macOS 15.5 (darwin). 119 tests pass in
tests/agent/test_anthropic_adapter.py, 1320 pass in tests/agent/.
provider_model_ids() and list_authenticated_providers() had no case for
"ollama-cloud", so the /model slash command showed 0 models despite
fetch_ollama_cloud_models() being fully implemented. The CLI subcommand
worked because it called fetch_ollama_cloud_models() directly.
- Add ollama-cloud case to provider_model_ids() in models.py
- Populate curated dict for ollama-cloud in list_authenticated_providers()
- Add tests for both code paths
Group A (3 tests): 'No LLM provider configured' RuntimeError
- test_user_message_surrogates_sanitized, test_counters_initialized_in_init,
test_openai_prompt_tokens_unchanged
- Root cause: AIAgent.__init__ now requires base_url alongside api_key to
skip resolve_provider_client() (which returns None when API keys are
blanked in CI). Added base_url='http://localhost:1234/v1' to test
agent construction.
Group B (5 tests): Discord slash command auto-registration
- test_auto_registers_missing_gateway_commands, test_auto_registered_command_*,
test_register_skill_group_*
- Root cause: xdist workers that loaded a discord mock WITHOUT
app_commands.Command/Group caused _register_slash_commands() to fail
silently. Added comprehensive shared discord mock in
tests/gateway/conftest.py (same pattern as existing telegram mock).
Group C (5 errors): Discord reply mode 'NoneType has no DMChannel'
- All TestReplyToText tests
- Root cause: FakeDMChannel was not a subclass of real discord.DMChannel,
so isinstance() checks in _handle_message failed when running in full
suite (real discord installed). Made FakeDMChannel inherit from
discord.DMChannel when available. Removed fragile monkeypatch approach.
Group D (2 tests): detect_provider_for_model wrong provider
- test_openrouter_slug_match (got 'ai-gateway'), test_bare_name_gets_
openrouter_slug (got 'copilot')
- Root cause: ai-gateway, copilot, and kilocode are multi-vendor
aggregators that list other providers' models (OpenRouter-style slugs).
They were being matched in Step 1 before OpenRouter. Added all three
to _AGGREGATORS set so they're skipped like nous/openrouter.
Group E (1 test): model_flow_custom StopIteration
- test_model_flow_custom_saves_verified_v1_base_url
- Root cause: 'Display name' prompt was added after the test was written.
The input iterator had 5 answers but the flow now asks 6 questions.
Added 6th empty string answer.
Group F (1 test): Telegram proxy env assertion
- test_uses_proxy_env_for_primary_and_fallback_transports
- Root cause: _resolve_proxy_url() now checks TELEGRAM_PROXY first
(via resolve_proxy_url('TELEGRAM_PROXY')). Test didn't clear this
env var, allowing potential leakage from other tests in xdist workers.
Added TELEGRAM_PROXY to the cleanup list.
config.yaml terminal.cwd is now the single source of truth for working
directory. MESSAGING_CWD and TERMINAL_CWD in .env are deprecated with a
migration warning.
Changes:
1. config.py: Remove MESSAGING_CWD from OPTIONAL_ENV_VARS (setup wizard
no longer prompts for it). Add warn_deprecated_cwd_env_vars() that
prints a migration hint when deprecated env vars are detected.
2. gateway/run.py: Replace all MESSAGING_CWD reads with TERMINAL_CWD
(which is bridged from config.yaml terminal.cwd). MESSAGING_CWD is
still accepted as a backward-compat fallback with deprecation warning.
Config bridge skips cwd placeholder values so they don't clobber
the resolved TERMINAL_CWD.
3. cli.py: Guard against lazy-import clobbering — when cli.py is
imported lazily during gateway runtime (via delegate_tool), don't
let load_cli_config() overwrite an already-resolved TERMINAL_CWD
with os.getcwd() of the service's working directory. (#10817)
4. hermes_cli/main.py: Add 'hermes memory reset' command with
--target all/memory/user and --yes flags. Profile-scoped via
HERMES_HOME.
Migration path for users with .env settings:
Remove MESSAGING_CWD / TERMINAL_CWD from .env
Add to config.yaml:
terminal:
cwd: /your/project/path
Addresses: #10225, #4672, #10817, #7663
display: null or display: <non-dict> in config.yaml crashed skin init
with AttributeError. Now falls back to default skin gracefully.
Cherry-picked from #10867 by @Bartok9. Consolidates #10876 by @cola-runner.
Co-authored-by: cola-runner <cola-runner@users.noreply.github.com>
copilot_model_api_mode() called normalize_copilot_model_id() which
fetched the GitHub model catalog via HTTP, then the secondary endpoint
check fetched it again because the catalog was never passed through.
Fix: fetch the catalog once at the top of copilot_model_api_mode()
and pass it to normalize_copilot_model_id(). The secondary check
then sees a non-None catalog and skips the redundant fetch.
For a Claude model switch on Copilot this eliminates one 5-second-
timeout HTTP call from the interactive /model path.
Surfaced during review of PR #10533.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Camofox automatically maps each userId to a persistent Firefox profile
on the server side — no CAMOFOX_PROFILE_DIR env var exists. Our docs
incorrectly told users to configure this on the server.
Removed the fabricated env var from:
- browser docs (:::note block)
- config.py DEFAULT_CONFIG comment
- test docstring
Add a theme engine for the web dashboard that mirrors the CLI skin
engine philosophy — pure data, no code changes needed for new themes.
Frontend:
- ThemeProvider context that loads active theme from backend on mount
and applies CSS variable overrides to document.documentElement
- ThemeSwitcher dropdown component in the header (next to language
switcher) with instant preview on click
- 6 built-in themes: Hermes Teal (default), Midnight, Ember, Mono,
Cyberpunk, Rosé — each defines all 21 color tokens + overlay settings
- Theme types, presets, and context in web/src/themes/
Backend:
- GET /api/dashboard/themes — returns available themes + active name
- PUT /api/dashboard/theme — persists selection to config.yaml
- User custom themes discoverable from ~/.hermes/dashboard-themes/*.yaml
- Theme list endpoint added to public API paths (no auth needed)
Config:
- dashboard.theme key in DEFAULT_CONFIG (default: 'default')
- Schema override for select dropdown in config page
- Category merged into 'display' tab in config UI
i18n: theme switcher strings added for en + zh.
detect_provider_for_model() silently remapped models to OpenRouter when
the direct provider's credentials weren't found via env vars. Three bugs:
1. Credential check only looked at env vars from PROVIDER_REGISTRY,
missing credential pool entries, auth store, and OAuth tokens
2. When env var check failed, silently returned ('openrouter', slug)
instead of the direct provider the model actually belongs to
3. Users with valid credentials via non-env-var mechanisms (pool,
OAuth, Claude Code tokens) got silently rerouted
Fix:
- Expand credential check to also query credential pool and auth store
- Always return the direct provider match regardless of credential
status -- let client init handle missing creds with a clear error
rather than silently routing through the wrong provider
Same philosophy as the provider-required fix: don't guess, don't
silently reroute, error clearly when something is missing.
Closes#10300
When a user enters a local model server URL (Ollama, vLLM, llama.cpp)
without a /v1 suffix during 'hermes model' custom endpoint setup,
prompt them to add it. Most OpenAI-compatible local servers require
/v1 in the base URL for chat completions to work.
Recomputes GitHub Copilot api_mode from the selected model in the
shared /model switch path. Before this change, Copilot could carry a
stale codex_responses mode forward from a GPT-5 selection into a later
Claude model switch, causing unsupported_api_for_model errors.
Cherry-picked from #10533 by @helix4u with:
- Comment specificity (Provider-specific → Copilot api_mode override)
- Fix pre-existing duplicate opencode-go in set literal
- Extract test mock helper to reduce duplication
- Add GPT-5 → GPT-5 regression test (keeps codex_responses)
Expands the plugin interface so slash command handlers can dispatch tool
calls through the registry with parent agent context wired up automatically.
This is the public API for plugins that need to orchestrate tools like
delegate_task — they call ctx.dispatch_tool() instead of reaching into
framework internals. The parent agent is resolved lazily from _cli_ref
when available (CLI mode) and omitted in gateway mode (tools degrade
gracefully).
Enables the hermes-deliver-plugin pattern where /deliver and /fanout
slash commands spawn subagents via delegate_task without touching the
agent conversation loop.
7 new tests covering: registry delegation, parent_agent injection from
cli_ref, gateway mode (no cli_ref), uninitialized agent, explicit
parent_agent override, kwargs forwarding, return value passthrough.
Pass platform_env_var="TELEGRAM_PROXY" to resolve_proxy_url() in both
telegram.py (main connect) and telegram_network.py (fallback transport),
so a Telegram-specific proxy takes priority over the generic HTTPS_PROXY.
Also bridge telegram.proxy_url from config.yaml to the TELEGRAM_PROXY
env var (env var takes precedence if both are set), add OPTIONAL_ENV_VARS
entry, docs, and tests.
Composite salvage of four community PRs:
- Core approach (both call sites): #9414 by @leeyang1990
- config.yaml bridging + docs: #6530 by @WhiteWorld
- Naming convention: #9074 by @brantzh6
- Earlier proxy work: #7786 by @ten-ltw
Closes#9414, closes#9074, closes#7786, closes#6530
Co-authored-by: WhiteWorld <WhiteWorld@users.noreply.github.com>
Co-authored-by: brantzh6 <brantzh6@users.noreply.github.com>
Co-authored-by: ten-ltw <ten-ltw@users.noreply.github.com>
Salvaged from PR #10643 by kshitijk4poor, updated for current main.
Root causes fixed:
1. Telegram xdist mock pollution — new tests/gateway/conftest.py with shared
mock that runs at collection time (prevents ChatType=None caching)
2. VIRTUAL_ENV env var leak — monkeypatch.delenv in _detect_venv_dir tests
3. Copilot base_url missing — add fallback in _resolve_runtime_from_pool_entry
4. Stale vision model assertion — zai now uses glm-5v-turbo
5. Reasoning item id intentionally stripped — assert 'id' not in (store=False)
6. Context length warning unreachable — pass base_url to AIAgent in test
7. Kimi provider label updated — 'Kimi / Kimi Coding Plan' matches models.py
8. Google Workspace calendar tests — rewritten for current production code,
properly mock subprocess on api_module, removed stale +agenda assertions
9. Credential pool auto-seeding — mock _select_pool_entry / _resolve_auto /
_import_codex_cli_tokens to prevent real credentials from leaking into tests
Complete the half-built plugin slash command system. The dispatch
code in cli.py and gateway/run.py already called
get_plugin_command_handler() but the registration side was never
implemented.
Changes:
- Add register_command() to PluginContext — stores handler,
description, and plugin name; normalizes names; rejects conflicts
with built-in commands
- Add _plugin_commands dict to PluginManager
- Add commands_registered tracking on LoadedPlugin
- Add get_plugin_command_handler() and get_plugin_commands()
module-level convenience functions
- Fix commands.py to use actual plugin description in Telegram
bot menu (was hardcoded 'Plugin command')
- Add plugin commands to SlashCommandCompleter autocomplete
- Show command count in /plugins display
- 12 new tests covering registration, conflict detection,
normalization, handler dispatch, and introspection
Closes#10495
atomic_yaml_write() and atomic_json_write() used tempfile.mkstemp()
which creates files with 0o600 (owner-only). After os.replace(), the
original file's permissions were destroyed. Combined with _secure_file()
forcing 0o600, this broke Docker/NAS setups where volume-mounted config
files need broader permissions (e.g. 0o666).
Changes:
- atomic_yaml_write/atomic_json_write: capture original permissions
before write, restore after os.replace()
- _secure_file: skip permission tightening in container environments
(detected via /.dockerenv, /proc/1/cgroup, or HERMES_SKIP_CHMOD env)
- save_env_value: preserve original .env permissions, remove redundant
third os.chmod call
- remove_env_value: same permission preservation
On desktop installs, _secure_file() still tightens to 0o600 as before.
In containers, the user's original permissions are respected.
Reported by Cedric Weber (Docker/Portainer on NAS).
The setup wizard accepted any string as a Telegram bot token without
validation. Invalid tokens were only caught at runtime when the gateway
failed to connect, with no clear error message.
Add regex validation for the expected format (<numeric_id>:<hash>) and
loop until a valid token is entered or the user cancels.
Telegram on iOS auto-converts double hyphens (--) to em dashes (—)
or en dashes (–) via autocorrect. This breaks /model flag parsing
since parse_model_flags() only recognizes literal '--provider' and
'--global'.
When the flag isn't parsed, the entire string (e.g. 'glm-5.1 —provider zai')
gets treated as the model name and fails with 'Model names cannot
contain spaces.'
Fix: normalize Unicode dashes (U+2012-U+2015) to '--' when they
appear before flag keywords (provider, global), before flag extraction.
The existing test suite in test_model_switch_provider_routing.py
already covers all four dash variants — this commit adds the code
that makes them pass.
Three independent fixes batched together:
1. hermes auth add crashes on non-interactive stdin (#10468)
input() for the label prompt was called without checking isatty().
In scripted/CI environments this raised EOFError. Fix: check
sys.stdin.isatty() and fall back to the computed default label.
2. Subcommand help prints twice (#10230)
'hermes dashboard -h' printed help text twice because the
SystemExit(0) from argparse was caught by the fallback retry
logic, which re-parsed and printed help again. Fix: re-raise
SystemExit with code 0 (help/version) immediately.
3. Duplicate entries in /model picker (#10526, #9545)
- Kimi showed 2x because kimi-coding and kimi-coding-cn both
mapped to the same models.dev ID. Fix: track seen mdev_ids
and skip aliases.
- Providers could show 2-3x from case-variant slugs across the
four loading paths. Fix: normalize all seen_slugs membership
checks and insertions to lowercase.
Closes#10468, #10230, #10526, #9545
procps-ng 4.0.4 in Docker rejects BSD-style 'ps eww -ax' with a
'must set personality' error, causing find_gateway_pids() to return
empty and falsely report the gateway as not running.
Fix: replace 'ps eww -ax' with 'ps -A eww'. -A is the POSIX
equivalent of BSD -ax (select all processes), and the eww modifiers
(show environment + wide output) still work as BSD flags alongside
the POSIX -A flag. This preserves the HERMES_HOME= environment
visibility needed for profile-aware PID matching.
Closes#9723
Extract resolve_channel_prompt() shared helper into
gateway/platforms/base.py. Refactor Discord to use it.
Wire channel_prompts into Telegram (groups + forum topics),
Slack (channels), and Mattermost (channels).
Config bridging now applies to all platforms (not just Discord).
Added channel_prompts defaults to telegram/slack/mattermost
config sections.
Docs added to all four platform pages with platform-specific
examples (topic inheritance for Telegram, channel IDs for Slack,
etc.).
OpenCode Go does not expose a shared /models endpoint, so the doctor
probe was always failing and producing a false warning. Set the default
URL to None and disable the health check for this provider.
Both /queue and /quit registered 'q' as an alias. Since /quit appeared
later in COMMAND_REGISTRY, _build_command_lookup() silently overwrote
/queue's claim, making the documented /queue shorthand unusable.
Fix: remove 'q' from /quit's aliases. /quit already has 'exit' as an
alias plus the full '/quit' command. /queue has no other short alias.
Closes#10467
Route kimi-coding-cn through _resolve_kimi_base_url() in both
get_api_key_provider_status() and resolve_api_key_provider_credentials()
so CN users with sk-kimi- prefixed keys get auto-detected to the Kimi
Coding Plan endpoint, matching the existing behavior for kimi-coding.
Also update the kimi-coding display label to accurately reflect the
dual-endpoint setup (Kimi Coding Plan + Moonshot API).
Salvaged from PR #10525 by kkikione999.
Memory provider discovery (discover_memory_providers, load_memory_provider)
only scanned the bundled plugins/memory/ directory. User-installed providers
at $HERMES_HOME/plugins/<name>/ were invisible, forcing users to symlink
into the repo source tree — which broke on hermes update and created a
dual-registration path causing duplicate tool names (400 errors on strict
providers like Xiaomi MiMo).
Changes:
- Add _get_user_plugins_dir(), _is_memory_provider_dir(), _iter_provider_dirs(),
and find_provider_dir() helpers to plugins/memory/__init__.py
- discover_memory_providers() now scans both bundled and user dirs
- load_memory_provider() uses find_provider_dir() (bundled-first)
- discover_plugin_cli_commands() uses find_provider_dir()
- _install_dependencies() in memory_setup.py uses find_provider_dir()
- User plugins use _hermes_user_memory namespace to avoid sys.modules collisions
- Non-memory user plugins filtered via source text heuristic
- Bundled providers always take precedence on name collisions
Fixes#4956, #9099. Supersedes #4987, #9123, #9130, #9132, #9982.
- Pastes uploaded by /debug now auto-delete after 1 hour via a detached
background process that sends DELETE to paste.rs
- CLI: shows privacy notice listing what data will be uploaded
- Gateway: only uploads summary report (system info + log tails), NOT
full log files containing conversation content
- Added 'hermes debug delete <url>' for immediate manual deletion
- 16 new tests covering auto-delete scheduling, paste deletion, privacy
notices, and the delete subcommand
Addresses user privacy concern where /debug uploaded full conversation
logs to a public paste service with no warning or expiry.
Expose skill usage in analytics so the dashboard and insights output can
show which skills the agent loads and manages over time.
This adds skill aggregation to the InsightsEngine by extracting
`skill_view` and `skill_manage` calls from assistant tool_calls,
computing per-skill totals, and including the results in both terminal
and gateway insights formatting. It also extends the dashboard analytics
API and Analytics page to render a Top Skills table.
Terminology is aligned with the skills docs:
- Agent Loaded = `skill_view` events
- Agent Managed = `skill_manage` actions
Architecture:
- agent/insights.py collects and aggregates per-skill usage
- hermes_cli/web_server.py exposes `skills` on `/api/analytics/usage`
- web/src/lib/api.ts adds analytics skill response types
- web/src/pages/AnalyticsPage.tsx renders the Top Skills table
- web/src/i18n/{en,zh}.ts updates user-facing labels
Tests:
- tests/agent/test_insights.py covers skill aggregation and formatting
- tests/hermes_cli/test_web_server.py covers analytics API contract
including the `skills` payload
- verified with `cd web && npm run build`
Files changed:
- agent/insights.py
- hermes_cli/web_server.py
- tests/agent/test_insights.py
- tests/hermes_cli/test_web_server.py
- web/src/i18n/en.ts
- web/src/i18n/types.ts
- web/src/i18n/zh.ts
- web/src/lib/api.ts
- web/src/pages/AnalyticsPage.tsx
hermes doctor now checks whether the ~/.local/bin/hermes symlink exists
and points to the correct venv entry point. With --fix, it creates or
repairs the symlink automatically.
Covers:
- Missing symlink at ~/.local/bin/hermes (or $PREFIX/bin on Termux)
- Symlink pointing to wrong target
- Missing venv entry point (venv/bin/hermes or .venv/bin/hermes)
- PATH warning when ~/.local/bin is not on PATH
- Skipped on Windows (different mechanism)
Addresses user report: 'python -m hermes_cli.main doesn't have an option
to fix the local bin/install'
10 new tests covering all scenarios.
On some Python versions, argparse fails to route subcommand tokens when
the parent parser has nargs='?' optional arguments (--continue). The
symptom: 'hermes model' produces 'unrecognized arguments: model' even
though 'model' is a registered subcommand.
Fix: when argv contains a token matching a known subcommand, set
subparsers.required=True to force deterministic routing. If that fails
(e.g. 'hermes -c model' where 'model' is consumed as the session name
for --continue), fall back to the default optional-subparsers behaviour.
Adds 13 tests covering all key argument combinations.
Reported via user screenshot showing the exact error on an installed
version with the model subcommand listed in usage but rejected at parse
time.
Three independent fixes:
1. Reset activity timestamp on cached agent reuse (#9051)
When the gateway reuses a cached AIAgent for a new turn, the
_last_activity_ts from the previous turn (possibly hours ago)
carried over. The inactivity timeout handler immediately saw
the agent as idle for hours and killed it.
Fix: reset _last_activity_ts, _last_activity_desc, and
_api_call_count when retrieving an agent from the cache.
2. Detect uv-managed virtual environments (#8620 sub-issue 1)
The systemd unit generator fell back to sys.executable (uv's
standalone Python) when running under 'uv run', because
sys.prefix == sys.base_prefix (uv doesn't set up traditional
venv activation). The generated ExecStart pointed to a Python
binary without site-packages, crashing the service on startup.
Fix: check VIRTUAL_ENV env var before falling back to
sys.executable. uv sets VIRTUAL_ENV even when sys.prefix
doesn't reflect the venv.
3. Nudge model to continue after empty post-tool response (#9400)
Weaker models (GLM-5, mimo-v2-pro) sometimes return empty
responses after tool calls instead of continuing to the next
step. The agent silently abandoned the remaining work with
'(empty)' or used prior-turn fallback text.
Fix: when the model returns empty after tool calls AND there's
no prior-turn content to fall back on, inject a one-time user
nudge message telling the model to process the tool results and
continue. The flag resets after each successful tool round so it
can fire again on later rounds.
Test plan: 97 gateway + CLI tests pass, 9 venv detection tests pass
- gateway start --all: kills all stale gateway processes across all
profiles before starting the current profile's service
- gateway restart --all: stops all gateway processes across all
profiles, then starts the current profile's service fresh
- gateway stop --all: already existed, unchanged
The --all flag was only available on 'stop' but not on 'start' or
'restart', causing 'unrecognized arguments' errors for users.
API keys containing Unicode lookalike characters (e.g. ʋ U+028B instead
of v) cause UnicodeEncodeError when httpx encodes the Authorization
header as ASCII. This commonly happens when users copy-paste keys from
PDFs, rich-text editors, or web pages with decorative fonts.
Three layers of defense:
1. **Save-time validation** (hermes_cli/config.py):
_check_non_ascii_credential() strips non-ASCII from credential values
when saving to .env, with a clear warning explaining the issue.
2. **Load-time sanitization** (hermes_cli/env_loader.py):
_sanitize_loaded_credentials() strips non-ASCII from credential env
vars (those ending in _API_KEY, _TOKEN, _SECRET, _KEY) after dotenv
loads them, so the rest of the codebase never sees non-ASCII keys.
3. **Runtime recovery** (run_agent.py):
The UnicodeEncodeError recovery block now also sanitizes self.api_key
and self._client_kwargs['api_key'], fixing the gap where message/tool
sanitization succeeded but the API key still caused httpx to fail on
the Authorization header.
Also: hermes_logging.py RotatingFileHandler now explicitly sets
encoding='utf-8' instead of relying on locale default (defensive
hardening for ASCII-locale systems).
PR #9467 added a call to self._fuzzy_file_completions() inside
_context_completions(), but the method was still decorated with
@staticmethod and didn't receive self. Every @ mention in the input
triggers 'name self is not defined' from prompt_toolkit's async
completer, spamming the error on every keystroke.
Fix: remove @staticmethod, add self parameter. The method already uses
self._fuzzy_file_completions() and self._get_project_files() via that
call chain, so it was never meant to stay static after the fuzzy search
feature was added.
Previously, systemd_restart() sent SIGUSR1 to the gateway, printed
'restart requested', and returned immediately. The gateway still
needed to drain active agents, exit with code 75, wait for systemd's
RestartSec=30, and start the new process. The user saw 'success' but
the gateway was actually down for 30-60 seconds.
Now the SIGUSR1 path blocks with progress feedback:
Phase 1 — wait for old process to die:
⏳ User service draining active work...
Polls os.kill(pid, 0) until ProcessLookupError (up to 90s)
Phase 2 — wait for new process to become active:
⏳ Waiting for hermes-gateway to restart...
Polls systemctl is-active + verifies new PID (up to 60s)
Success:
✓ User service restarted (PID 12345)
Timeout:
⚠ User service did not become active within 60s.
Check status: hermes gateway status
Check logs: journalctl --user -u hermes-gateway --since '2 min ago'
The reload-or-restart fallback path (line 1189) already blocks because
systemctl reload-or-restart is synchronous.
Test plan:
- Updated test to verify wait-for-restart behavior
- All 118 gateway CLI tests pass
New users don't know which tool providers to pick during setup.
Add [badge] labels to each provider in the selection menu:
- [★ recommended · free] for best default choices (Edge TTS, Local Browser)
- [★ recommended] for top-tier paid options (Firecrawl Cloud)
- [paid] for options requiring an API key
- [free tier] for services with a free tier (Tavily)
- [free · self-hosted] / [free · local] for self-run options
- [subscription] for Nous subscription-managed options
Also improves vague tag descriptions — e.g. 'AI-native search and
contents' becomes 'Neural search with semantic understanding' and
Tavily gets '1000 free searches/mo'.
Both hermes setup and hermes tools share the same rendering path,
so badges appear in both flows.
Addresses user feedback about setup being confusing for newcomers.
Instead of consuming one top-level slash command slot per skill (hitting the
100-command limit with ~26 built-ins + 74 skills), skills are now organized
under a single /skill group command with category-based subcommand groups:
/skill creative ascii-art [args]
/skill media gif-search [args]
/skill mlops axolotl [args]
Discord supports 25 subcommand groups × 25 subcommands = 625 max skills,
well beyond the previous 74-slot ceiling.
Categories are derived from the skill directory structure:
- skills/creative/ascii-art/ → category 'creative'
- skills/mlops/training/axolotl/ → category 'mlops' (top-level parent)
- skills/dogfood/ → uncategorized (direct subcommand)
Changes:
- hermes_cli/commands.py: add discord_skill_commands_by_category() with
category grouping, hub/disabled filtering, Discord limit enforcement
- gateway/platforms/discord.py: replace top-level skill registration with
_register_skill_group() using app_commands.Group hierarchy
- tests: 7 new tests covering group creation, category grouping,
uncategorized skills, hub exclusion, deep nesting, empty skills,
and handler dispatch
Inspired by Discord community suggestion from bottium.
- Add glm-5v-turbo to OpenRouter, Nous, and native Z.AI model lists
- Add glm-5v context length entry (200K tokens) to model metadata
- Update Z.AI endpoint probe to try multiple candidate models per
endpoint (glm-5.1, glm-5v-turbo, glm-4.7) — fixes detection for
newer coding plan accounts that lack older models
- Add zai to _PROVIDER_VISION_MODELS so auxiliary vision tasks
(vision_analyze, browser screenshots) route through 5v
Fixes#9888
- Add ESC key binding (eager) for secret_state and sudo_state modal
prompts — fires immediately, same behavior as Ctrl+C cancel
- Update placeholder text: 'Enter to submit · ESC to skip' (was
'Enter to skip' which was confusing — Enter on empty looked like
submitting nothing rather than intentionally skipping)
- Update widget body text: 'ESC or Ctrl+C to skip'
- Change feedback message from 'Secret entry cancelled' to 'Secret
entry skipped' — more accurate for the action taken
- getpass fallback prompt also updated for non-TUI mode
When the gateway responds to the health probe but the local
gateway_state.json has a stale 'stopped' state (common in cross-container
setups where the file was written before the gateway restarted), the
dashboard would show 'Running (remote)' but with a 'Stopped' badge.
Now if the HTTP probe succeeded (remote_health_body is not None) and
gateway_state is 'stopped' or None, override it to 'running'. Also
handles the no-shared-volume case where runtime is None entirely.
The probe was appending '/detailed' to whatever URL was provided,
so GATEWAY_HEALTH_URL=http://host:8642 would try /8642/detailed
and /8642 — neither of which are valid routes.
Now strips any trailing /health or /health/detailed from the env var
and always probes {base}/health/detailed then {base}/health.
Accepts bare base URL, /health, or /health/detailed forms.
The dashboard's gateway status detection relied solely on local PID checks
(os.kill + /proc), which fails when the gateway runs in a separate container.
Changes:
- web_server.py: Add _probe_gateway_health() that queries the gateway's HTTP
/health/detailed endpoint when the local PID check fails. Activated by
setting the GATEWAY_HEALTH_URL env var (e.g. http://gateway:8642/health).
Falls back to standard PID check when the env var is not set.
- api_server.py: Add GET /health/detailed endpoint that returns full gateway
state (platforms, gateway_state, active_agents, pid, etc.) without auth.
The existing GET /health remains unchanged for backwards compatibility.
- StatusPage.tsx: Handle the case where gateway_pid is null but the gateway
is running remotely, displaying 'Running (remote)' instead of 'PID null'.
Environment variables:
- GATEWAY_HEALTH_URL: URL of the gateway health endpoint (e.g.
http://gateway-container:8642/health). Unset = local PID check only.
- GATEWAY_HEALTH_TIMEOUT: Probe timeout in seconds (default: 3).
Three fixes for gateway lifecycle stability:
1. Notify active sessions before shutdown (#new)
When the gateway receives SIGTERM or /restart, it now sends a
notification to every chat with an active agent BEFORE starting
the drain. Users see:
- Shutdown: 'Gateway shutting down — your task will be interrupted.'
- Restart: 'Gateway restarting — use /retry after restart to continue.'
Deduplicates per-chat so group sessions with multiple users get
one notification. Best-effort: send failures are logged and swallowed.
2. Skip .clean_shutdown marker when drain timed out
Previously, a graceful SIGTERM always wrote .clean_shutdown, even if
agents were force-interrupted when the drain timed out. This meant
the next startup skipped session suspension, leaving interrupted
sessions in a broken state (trailing tool response, no final message).
Now the marker is only written if the drain completed without timeout,
so interrupted sessions get properly suspended on next startup.
3. Post-restart health check for hermes update (#6631)
cmd_update() now verifies the gateway actually survived after
systemctl restart (sleep 3s + is-active check). If the service
crashed immediately, it retries once. If still dead, prints
actionable diagnostics (journalctl command, manual restart hint).
Also closes#8104 — already fixed on main (the /restart handler
correctly detects systemd via INVOCATION_ID and uses via_service=True).
Test plan:
- 6 new tests for shutdown notifications (dedup, restart vs shutdown
messaging, sentinel filtering, send failure resilience)
- Existing restart drain + update tests pass (47 total)
Addresses responsible disclosure from FuzzMind Security Lab (CVE pending).
The web dashboard API server had 36 endpoints, of which only 5 checked
the session token. The token itself was served from an unauthenticated
GET /api/auth/session-token endpoint, rendering the protection circular.
When bound to 0.0.0.0 (--host flag), all API keys, config, and cron
management were accessible to any machine on the network.
Changes:
- Add auth middleware requiring session token on ALL /api/ routes except
a small public whitelist (status, config/defaults, config/schema,
model/info)
- Remove GET /api/auth/session-token endpoint entirely; inject the token
into index.html via a <script> tag at serve time instead
- Replace all inline token comparisons (!=) with hmac.compare_digest()
to prevent timing side-channel attacks
- Block non-localhost binding by default; require --insecure flag to
override (with warning log)
- Update frontend fetchJSON() to send Authorization header on all
requests using the injected window.__HERMES_SESSION_TOKEN__
Credit: Callum (@0xca1x) and @migraine-sudo at FuzzMind Security Lab
When GATEWAY_PROXY_URL (or gateway.proxy_url in config.yaml) is set,
the gateway becomes a thin relay: it handles platform I/O (encryption,
threading, media) and delegates all agent work to a remote Hermes API
server via POST /v1/chat/completions with SSE streaming.
This enables the primary use case of running a Matrix E2EE gateway in
Docker on Linux while the actual agent runs on the host (e.g. macOS)
with full access to local files, memory, skills, and a unified session
store. Works for any platform adapter, not just Matrix.
Configuration:
- GATEWAY_PROXY_URL env var (Docker-friendly)
- gateway.proxy_url in config.yaml
- GATEWAY_PROXY_KEY env var for API auth (matches API_SERVER_KEY)
- X-Hermes-Session-Id header for session continuity
Architecture:
- _get_proxy_url() checks env var first, then config.yaml
- _run_agent_via_proxy() handles HTTP forwarding with SSE streaming
- _run_agent() delegates to proxy path when URL is configured
- Platform streaming (GatewayStreamConsumer) works through proxy
- Returns compatible result dict for session store recording
Files changed:
- gateway/run.py: proxy mode implementation (~250 lines)
- hermes_cli/config.py: GATEWAY_PROXY_URL + GATEWAY_PROXY_KEY env vars
- tests/gateway/test_proxy_mode.py: 17 tests covering config
resolution, dispatch, HTTP forwarding, error handling, message
filtering, and result shape validation
Closes discussion from Cars29 re: Matrix gateway mixed-mode issue.
Critical bug fixes only (no redundant changes):
1. **Write non-secret fields to .env** - Add non-secret fields with env_var to env_writes so they get saved to .env
2. **Status checks all fields** - Check all fields with env_var (both secret and non-secret), not just secrets
Fixes:
- OPENVIKING_ENDPOINT and similar non-secret env vars now get written to .env
- hermes memory status now shows ALL missing required fields
The dynamic parser walker from the contributor's commit lost the profile
name tab-completion that existed in the old static generators. This adds
it back for all three shells:
- Bash: _hermes_profiles() helper, -p/--profile completion, profile
action→name completion (use/delete/show/alias/rename/export)
- Zsh: _hermes_profiles() function, -p/--profile argument spec, profile
action case with name completion
- Fish: __hermes_profiles function, -s p -l profile flag, profile action
completions
Also removes the dead fallback path in cmd_completion() that imported
the old static generators from profiles.py (parser is always available
via the lambda wiring) and adds 11 regression-prevention tests for
profile completion.
Replaces the hardcoded completion stubs in profiles.py with a dynamic
generator that walks the live argparse parser tree at runtime.
- New hermes_cli/completion.py: _walk() recursively extracts all
subcommands and flags; generate_bash/zsh/fish() produce complete
scripts with nested subcommand support
- cmd_completion now accepts the parser via closure so completions
always reflect the actual registered commands (including plugin-
registered ones like honcho)
- completion subcommand now accepts bash | zsh | fish (fish requested
in issue comments)
- Fix _SUBCOMMANDS set: add honcho, claw, plugins, acp, webhook,
memory, dump, debug, backup, import, completion, logs so that
multi-word session names after -c/-r are not broken by these commands
- Add tests/hermes_cli/test_completion.py: 17 tests covering parser
extraction, alias deduplication, bash/zsh/fish output content,
bash syntax validation, fish syntax validation, and subcommand
drift prevention
Tested on Linux (Arch). bash and fish completion verified live.
zsh script passes syntax check (zsh not installed on test machine).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add ctx.register_skill() API so plugins can ship SKILL.md files under
a 'plugin:skill' namespace, preventing name collisions with built-in
Hermes skills. skill_view() detects the ':' separator and routes to
the plugin registry while bare names continue through the existing
flat-tree scan unchanged.
Key additions:
- agent/skill_utils: parse_qualified_name(), is_valid_namespace()
- hermes_cli/plugins: PluginContext.register_skill(), PluginManager
skill registry (find/list/remove)
- tools/skills_tool: qualified name dispatch in skill_view(),
_serve_plugin_skill() with full guards (disabled, platform,
injection scan), bundle context banner with sibling listing,
stale registry self-heal
- Hoisted _INJECTION_PATTERNS to module level (dedup)
- Updated skill_view schema description
Based on PR #9334 by N0nb0at. Lean P1 salvage — omits autogen shim
(P2) for a simpler first merge.
Closes#8422
- Fix _camofox_eval() endpoint: /tabs/{id}/eval → /tabs/{id}/evaluate
(correct Camofox REST API path)
- Add required userId field to JS eval request body (all other Camofox
endpoints already include it)
- Update npm package from @askjo/camoufox-browser ^1.0.0 to
@askjo/camofox-browser ^1.5.2 (upstream package was renamed)
- Update tools_config.py post-setup to reference new package directory
and npx command
- Bump Node engine requirement from >=18 to >=20 (required by
camoufox-js dependency in camofox-browser v1.5.2)
- Regenerate package-lock.json
Fixes issues reported in PRs #9472, #8267, #7208 (stale).
Production fixes:
- Add clear_session_context() to hermes_logging.py (fixes 48 teardown errors)
- Add clear_session() to tools/approval.py (fixes 9 setup errors)
- Add SyncError M_UNKNOWN_TOKEN check to Matrix _sync_loop (bug fix)
- Fall back to inline api_key in named custom providers when key_env
is absent (runtime_provider.py)
Test fixes:
- test_memory_user_id: use builtin+external provider pair, fix honcho
peer_name override test to match production behavior
- test_display_config: remove TestHelpers for non-existent functions
- test_auxiliary_client: fix OAuth tokens to match _is_oauth_token
patterns, replace get_vision_auxiliary_client with resolve_vision_provider_client
- test_cli_interrupt_subagent: add missing _execution_thread_id attr
- test_compress_focus: add model/provider/api_key/base_url/api_mode
to mock compressor
- test_auth_provider_gate: add autouse fixture to clean Anthropic env
vars that leak from CI secrets
- test_opencode_go_in_model_list: accept both 'built-in' and 'hermes'
source (models.dev API unavailable in CI)
- test_email: verify email Platform enum membership instead of source
inspection (build_channel_directory now uses dynamic enum loop)
- test_feishu: add bot_added/bot_deleted handler mocks to _Builder
- test_ws_auth_retry: add AsyncMock for sync_store.get_next_batch,
add _pending_megolm and _joined_rooms to Matrix adapter mocks
- test_restart_drain: monkeypatch-delete INVOCATION_ID (systemd sets
this in CI, changing the restart call signature)
- test_session_hygiene: add user_id to SessionSource
- test_session_env: use relative baseline for contextvar clear check
(pytest-xdist workers share context)
- Add Platform.QQBOT to _UPDATE_ALLOWED_PLATFORMS (enables /update command)
- Add 'qqbot' to webhook cross-platform delivery routing
- Add 'qqbot' to hermes dump platform detection
- Fix test_name_property casing: 'QQBot' not 'QQBOT'
- Add _parse_qq_timestamp() for ISO 8601 + integer ms compatibility
(QQ API changed timestamp format — from PR #2411 finding)
- Wire timestamp parsing into all 4 message handlers
- Rename platform from 'qq' to 'qqbot' across all integration points
(Platform enum, toolset, config keys, import paths, file rename qq.py → qqbot.py)
- Add PLATFORM_HINTS for QQBot in prompt_builder (QQ supports markdown)
- Set SUPPORTS_MESSAGE_EDITING = False to skip streaming on QQ
(prevents duplicate messages from non-editable partial + final sends)
- Add _send_qqbot() standalone send function for cron/send_message tool
- Add interactive _setup_qq() wizard in hermes_cli/setup.py
- Restore missing _setup_signal/email/sms/dingtalk/feishu/wecom/wecom_callback
functions that were lost during the original merge
Three improvements to file search based on user feedback:
1. Fuzzy @ completions (commands.py):
- Bare @query now does project-wide fuzzy file search instead of
prefix-only directory listing
- Uses rg --files with 5-second cache for responsive completions
- Scoring: exact name (100) > prefix (80) > substring (60) >
path contains (40) > subsequence with boundary bonus (35/25)
- Bare @ with no query shows recently modified files first
2. Mtime-sorted file search (file_operations.py):
- _search_files_rg now uses --sortr=modified (rg 13+) to surface
recently edited files first
- Falls back to unsorted on older rg versions
3. Improved file-not-found suggestions (file_operations.py):
- Replaced crude character-set overlap with ranked scoring:
same basename (90) > prefix (70) > substring (60) >
reverse substring (40) > same extension (30)
- search_files path-not-found now suggests similar directories
from the parent
Add a second light-mode skin option with warm brown/parchment tones,
adapted from ygd58's contribution in PR #4811. Includes completion
menu and status bar color keys for full light-terminal support.
Co-authored-by: buray <78954051+ygd58@users.noreply.github.com>
* feat(skills): add fitness-nutrition skill to optional-skills
Cherry-picked from PR #9177 by @haileymarshall.
Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies
Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)
Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'
* fix: auto-correct close model name matches in /model validation
When a user types a model name with a minor typo (e.g. gpt5.3-codex instead
of gpt-5.3-codex), the validation now auto-corrects to the closest match
instead of accepting the wrong name with a warning.
Uses difflib get_close_matches with cutoff=0.9 to avoid false corrections
(e.g. gpt-5.3 should not silently become gpt-5.4). Applied consistently
across all three validation paths: codex provider, custom endpoints, and
generic API-probed providers.
The validate_requested_model() return dict gains an optional corrected_model
key that switch_model() applies before building the result.
Reported by Discord user — /model gpt5.3-codex was accepted with a warning
but would fail at the API level.
---------
Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
During custom endpoint setup, users are now asked for a display name
with the auto-generated name as the default. Typing 'Ollama' or
'LM Studio' replaces the generic 'Local (localhost:11434)' in the
provider menu.
Extracts _auto_provider_name() for reuse and adds a name= parameter
to _save_custom_provider() so the caller can pass through the
user-chosen label.
- Add GET /api/model/info endpoint that resolves model metadata using the
same 10-step context-length detection chain the agent uses. Returns
auto-detected context length, config override, effective value, and
model capabilities (tools, vision, reasoning, max output, model family).
- Surface model.context_length as model_context_length virtual field in
the config normalize/denormalize cycle. 0 = auto-detect (default),
positive value overrides. Writing 0 removes context_length from the
model dict on disk.
- Add ModelInfoCard component showing resolved context window (e.g. '1M
auto-detected' or '500K override — auto: 1M'), max output tokens, and
colored capability badges (Tools, Vision, Reasoning, model family).
- Inject ModelInfoCard between model field and context_length override in
ConfigPage General tab. Card re-fetches on model change and after save.
- Insert model_context_length right after model in CONFIG_SCHEMA ordering
so the three elements (model input → info card → override) are adjacent.
Plugins can now return {"action": "block", "message": "reason"} from
their pre_tool_call hook to prevent a tool from executing. The error
message is returned to the model as a tool result so it can adjust.
Covers both execution paths: handle_function_call (model_tools.py) and
agent-level tools (run_agent.py _invoke_tool + sequential/concurrent).
Blocked tools skip all side effects (counter resets, checkpoints,
callbacks, read-loop tracker).
Adds skip_pre_tool_call_hook flag to avoid double-firing the hook when
run_agent.py already checked and then calls handle_function_call.
Salvaged from PR #5385 (gianfrancopiana) and PR #4610 (oredsecurity).
* Add hermes debug share instructions to all issue templates
- bug_report.yml: Add required Debug Report section with hermes debug share
and /debug instructions, make OS/Python/Hermes version optional (covered
by debug report), demote old logs field to optional supplementary
- setup_help.yml: Replace hermes doctor reference with hermes debug share,
add Debug Report section with fallback chain (debug share -> --local -> doctor)
- feature_request.yml: Add optional Debug Report section for environment context
All templates now guide users to run hermes debug share (or /debug in chat)
and paste the resulting paste.rs links, giving maintainers system info,
config, and recent logs in one step.
* feat: add openrouter/elephant-alpha to curated model lists
- Add to OPENROUTER_MODELS (free, positioned above GPT models)
- Add to _PROVIDER_MODELS["nous"] mirror list
- Add 256K context window fallback in model_metadata.py
Remove the two-tier (top/extended) provider picker that hid most
providers behind a 'More providers...' submenu. All providers now
appear in a single flat list.
- Remove tier field from ProviderEntry namedtuple
- Remove tier values from all CANONICAL_PROVIDERS entries
- Flatten the hermes model picker (no more 'More...' submenu)
- Move 'Custom endpoint' to the bottom of the main list
Adds Arcee AI as a standard direct provider (ARCEEAI_API_KEY) with
Trinity models: trinity-large-thinking, trinity-large-preview, trinity-mini.
Standard OpenAI-compatible provider checklist: auth.py, config.py,
models.py, main.py, providers.py, doctor.py, model_normalize.py,
model_metadata.py, setup.py, trajectory_compressor.py.
Based on PR #9274 by arthurbr11, simplified to a standard direct
provider without dual-endpoint OpenRouter routing.
The /model picker currently renders one row per ``custom_providers``
entry. When several entries share the same provider name (e.g. four
``ollama-cloud`` entries for ``qwen3-coder``, ``glm-5.1``, ``kimi-k2``,
``minimax-m2.7``), users see four separate "Ollama Cloud" rows in the
picker, which is confusing UX — there is only one Ollama Cloud
provider, so there should be one row containing four models.
This PR groups ``custom_providers`` entries that share the same provider
name into a single picker row while keeping entries with distinct names
as separate rows. So:
* Four entries named ``Ollama Cloud`` → one "Ollama Cloud" row with
four models inside.
* One entry named ``Ollama Cloud`` and one named ``Moonshot`` → two
separate rows, one model each.
Implementation
--------------
Replaces the single-pass loop in ``list_authenticated_providers()`` with
a two-pass approach:
1. First pass: build an ``OrderedDict`` keyed by ``custom_provider_slug(name)``,
accumulating ``models`` per group while preserving discovery order.
2. Second pass: iterate the groups and append one result row per group,
skipping any slug that already appeared in an earlier provider source
(the existing ``seen_slugs`` guard).
Insertion order is preserved via ``OrderedDict``, so providers and
their models still appear in the order the user listed them in
``custom_providers``. No new dependencies.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
get_compatible_custom_providers() deduplicates by (name, base_url) which
collapses multiple models under the same provider into a single entry.
For example, 7 Ollama Cloud entries with different models become 1.
Adding model to the tuple preserves all entries.
The dashboard device-code flow (_nous_poller in web_server.py) saved
credentials to the credential pool only, while get_nous_auth_status()
only checked the auth store (auth.json). This caused the Keys tab to
show 'not connected' even when the backend was fully authenticated.
Two fixes:
1. get_nous_auth_status() now checks the credential pool first (like
get_codex_auth_status() already does), then falls back to the auth
store.
2. _nous_poller now also persists to the auth store after saving to
the credential pool, matching the CLI flow (_login_nous).
Adds 3 tests covering pool-only, auth-store-fallback, and empty-state
scenarios.
Three separate hardcoded provider lists (/model, /provider, hermes model)
diverged over time, causing providers to be missing from some commands.
- Create CANONICAL_PROVIDERS in hermes_cli/models.py as the single source
of truth for all provider identity, labels, and TUI ordering
- Derive _PROVIDER_LABELS and list_available_providers() from canonical list
- Add step 2b in list_authenticated_providers() to cross-check canonical
list — catches providers with credentials that weren't found via
PROVIDER_TO_MODELS_DEV or HERMES_OVERLAYS mappings
- Derive hermes model TUI provider menus from canonical list
- Add deepseek and xai as first-class providers (were missing from TUI)
- Add grok/x-ai/x.ai aliases for xai provider
Fixes: /model command not showing all providers that hermes model shows
The everywhere release — Hermes goes mobile with Termux/Android, adds
iMessage and WeChat, ships Fast Mode for OpenAI and Anthropic,
introduces background process monitoring, launches a local web
dashboard, and delivers the deepest security hardening pass yet
across 16 supported platforms.
487 commits, 269 merged PRs, 167 resolved issues, 24 contributors.
Cherry-picked from PR #7637 by hcshen0111.
Adds kimi-coding-cn provider with dedicated KIMI_CN_API_KEY env var
and api.moonshot.cn/v1 endpoint for China-region Moonshot users.
- Wrap module-level import from agent.anthropic_adapter in try/except
so hermes web still starts if the adapter is unavailable; Phase 2
PKCE endpoints return 501 in that case.
- Change authorize URL from console.anthropic.com to claude.ai to
match the canonical adapter code.
Add OAuth provider management to the Hermes dashboard with full
lifecycle support for Anthropic (PKCE), Nous and OpenAI Codex
(device-code) flows.
## Backend (hermes_cli/web_server.py)
- 6 new API endpoints:
GET /api/providers/oauth — list providers with connection status
POST /api/providers/oauth/{id}/start — initiate PKCE or device-code
POST /api/providers/oauth/{id}/submit — exchange PKCE auth code
GET /api/providers/oauth/{id}/poll/{session} — poll device-code
DELETE /api/providers/oauth/{id} — disconnect provider
DELETE /api/providers/oauth/sessions/{id} — cancel pending session
- OAuth constants imported from anthropic_adapter (no duplication)
- Blocking I/O wrapped in run_in_executor for async safety
- In-memory session store with 15-minute TTL and automatic GC
- Auth token required on all mutating endpoints
## Frontend
- OAuthLoginModal — PKCE (paste auth code) and device-code (poll) flows
- OAuthProvidersCard — status, token preview, connect/disconnect actions
- Toast fix: createPortal to document.body for correct z-index
- App.tsx: skip animation key bump on initial mount (prevent double-mount)
- Integrated into the Env/Keys page
The v11→v12 migration converts custom_providers (list) into providers
(dict), then deletes the list. But all runtime resolvers read from
custom_providers — after migration, named custom endpoints silently stop
resolving and fallback chains fail with AuthError.
Add get_compatible_custom_providers() that reads from both config schemas
(legacy custom_providers list + v12+ providers dict), normalizes entries,
deduplicates, and returns a unified list. Update ALL consumers:
- hermes_cli/runtime_provider.py: _get_named_custom_provider() + key_env
- hermes_cli/auth_commands.py: credential pool provider names
- hermes_cli/main.py: model picker + _model_flow_named_custom()
- agent/auxiliary_client.py: key_env + custom_entry model fallback
- agent/credential_pool.py: _iter_custom_providers()
- cli.py + gateway/run.py: /model switch custom_providers passthrough
- run_agent.py + gateway/run.py: per-model context_length lookup
Also: use config.pop() instead of del for safer migration, fix stale
_config_version assertions in tests, add pool mock to codex test.
Co-authored-by: 墨綠BG <s5460703@gmail.com>
Closes#8776, salvaged from PR #8814
The cherry-picked code passed the env var NAME (e.g. 'MY_API_KEY') as the
api_key value. The caller's has_usable_secret() check would reject the
var name, so the actual key was never used. Now we os.getenv() the
key_env value to get the real API key before returning it.
Two fixes for user-defined providers in config.yaml:
1. list_authenticated_providers() - now includes full models list from
providers.*.models array, not just default_model. This fixes /model
showing only one model when multiple are configured.
2. _get_named_custom_provider() - now checks providers: dict (new-style)
in addition to custom_providers: list (legacy). This fixes credential
resolution errors when switching models via /model command.
Both changes are backwards compatible with existing custom_providers list format.
Fixes: Only one model appears for custom providers in /model selection
These functions were duplicated between auth.py and copilot_auth.py.
The auth.py copies had zero production callers — only copilot_auth.py's
versions are used. Redirect the test import to the live copy and update
monkeypatch targets accordingly.
When GITHUB_TOKEN is present in the environment (e.g. for gh CLI or
GitHub Actions), two issues broke Copilot authentication against
GitHub Enterprise (GHE) instances:
1. The copilot provider had no base_url_env_var, so COPILOT_API_BASE_URL
was silently ignored — requests always went to public GitHub.
2. `gh auth token` (the CLI fallback) treats GITHUB_TOKEN as an override
and echoes it back instead of reading from its credential store
(hosts.yml). This caused the same rejected token to be used even
after env var priority correctly skipped it.
Fix:
- Add base_url_env_var="COPILOT_API_BASE_URL" to copilot ProviderConfig
- Strip GITHUB_TOKEN/GH_TOKEN from the subprocess env when calling
`gh auth token` so it reads from hosts.yml
- Pass --hostname from COPILOT_GH_HOST when set so gh returns the
GHE-specific OAuth token
Remove the backward-compat code paths that read compression provider/model
settings from legacy config keys and env vars, which caused silent failures
when auto-detection resolved to incompatible backends.
What changed:
- Remove compression.summary_model, summary_provider, summary_base_url from
DEFAULT_CONFIG and cli.py defaults
- Remove backward-compat block in _resolve_task_provider_model() that read
from the legacy compression section
- Remove _get_auxiliary_provider() and _get_auxiliary_env_override() helper
functions (AUXILIARY_*/CONTEXT_* env var readers)
- Remove env var fallback chain for per-task overrides
- Update hermes config show to read from auxiliary.compression
- Add config migration (v16→17) that moves non-empty legacy values to
auxiliary.compression and strips the old keys
- Update example config and openclaw migration script
- Remove/update tests for deleted code paths
Compression model/provider is now configured exclusively via:
auxiliary.compression.provider / auxiliary.compression.model
Closes#8923
Three changes consolidated into the existing backup system:
1. Fix: hermes backup now uses sqlite3.Connection.backup() for .db files
instead of raw file copy. Raw copy of a WAL-mode database can produce
a corrupted backup — the backup() API handles this correctly.
2. hermes backup --quick: fast snapshot of just critical state files
(config.yaml, state.db, .env, auth.json, cron/jobs.json, etc.)
stored in ~/.hermes/state-snapshots/. Auto-prunes to 20 snapshots.
3. /snapshot slash command (alias /snap): in-session interface for
quick state snapshots. create/list/restore/prune subcommands.
Restore by ID or number. Powered by the same backup module.
No new modules — everything lives in hermes_cli/backup.py alongside
the existing full backup/import code.
No hooks in run_agent.py — purely on-demand, zero runtime overhead.
Closes the use case from PRs #8406 and #7813 with ~200 lines of new
logic instead of a 1090-line content-addressed storage engine.
- Move test file to tests/hermes_cli/ (consistent with test layout)
- Remove unused imports (os, pytest) from test file
- Update _sanitize_env_lines docstring: now used on read + write paths
When .env files become corrupted (e.g. concatenated KEY=VALUE pairs on
a single line due to concurrent writes or encoding issues), both
python-dotenv and load_env() would parse the entire concatenated string
as a single value. This caused bot tokens to appear duplicated up to 8×,
triggering InvalidToken errors from the Telegram API.
Root cause: _sanitize_env_lines() — which correctly splits concatenated
lines — was only called during save_env_value() writes, not during reads.
Fix:
- load_env() now calls _sanitize_env_lines() before parsing
- env_loader.load_hermes_dotenv() sanitizes the .env file on disk
before python-dotenv reads it, so os.getenv() also returns clean values
- Added tests reproducing the exact corruption pattern from #8908Closes#8908
The startup warning that Nous Research Hermes 3 & 4 models are not agentic
fired on any model whose name contained "hermes" anywhere, via a plain
substring check. That false-positived on unrelated local Modelfiles such
as `hermes-brain:qwen3-14b-ctx16k` — a tool-capable Qwen3 wrapper that
happens to live under a custom "hermes" tag namespace — making the warning
noise for legitimate setups.
Replace the substring check with a narrow regex anchored on `^`, `/`, or
`:` boundaries that only matches the real Hermes-3 / Hermes-4 chat family
(e.g. `NousResearch/Hermes-3-Llama-3.1-70B`, `hermes-4-405b`,
`openrouter/hermes3:70b`). Consolidate into a single helper
`is_nous_hermes_non_agentic()` in `hermes_cli.model_switch` so the CLI
and the canonical check don't drift, and route the duplicate inline site
in `cli.HermesCLI._print_warnings()` through the helper.
Add a parametrized test covering positive matches (real Hermes-3/-4
names) and a broad set of negatives (custom Modelfiles, Qwen/Claude/GPT,
older Nous-Hermes-2 families, bare "hermes", empty string, and the
"brain-hermes-3-impostor" boundary case).
_remap_path_for_user was calling .resolve() on the Python path, which
followed venv/bin/python into the base interpreter. On uv-managed venvs
this swaps the systemd ExecStart to a bare Python that has none of the
venv's site-packages, so the service crashes on first import. Classical
python -m venv installs were unaffected by accident: the resolved target
/usr/bin/python3.x lives outside $HOME so the path-remap branch was
skipped and the system Python's packages silently worked.
Remove .resolve() calls on both current_home and the path; use
.expanduser() for lexical tilde expansion only. The function does
lexical prefix substitution, which is all it needs to do for its
actual purpose (remapping /root/.hermes -> /home/<user>/.hermes when
installing system services as root for a different user).
Repro: on a uv-managed venv install, `sudo hermes gateway install
--system` writes ExecStart=.../uv/python/cpython-3.11.15-.../bin/python3.11
instead of .../hermes-agent/venv/bin/python, and the service crashes on
ModuleNotFoundError: yaml.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: web UI dashboard for managing Hermes Agent (salvage of #8204/#7621)
Adds an embedded web UI dashboard accessible via `hermes web`:
- Status page: agent version, active sessions, gateway status, connected platforms
- Config editor: schema-driven form with tabbed categories, import/export, reset
- API Keys page: set, clear, and view redacted values with category grouping
- Sessions, Skills, Cron, Logs, and Analytics pages
Backend:
- hermes_cli/web_server.py: FastAPI server with REST endpoints
- hermes_cli/config.py: reload_env() utility for hot-reloading .env
- hermes_cli/main.py: `hermes web` subcommand (--port, --host, --no-open)
- cli.py / commands.py: /reload slash command for .env hot-reload
- pyproject.toml: [web] optional dependency extra (fastapi + uvicorn)
- Both update paths (git + zip) auto-build web frontend when npm available
Frontend:
- Vite + React + TypeScript + Tailwind v4 SPA in web/
- shadcn/ui-style components, Nous design language
- Auto-refresh status page, toast notifications, masked password inputs
Security:
- Path traversal guard (resolve().is_relative_to()) on SPA file serving
- CORS localhost-only via allow_origin_regex
- Generic error messages (no internal leak), SessionDB handles closed properly
Tests: 47 tests covering reload_env, redact_key, API endpoints, schema
generation, path traversal, category merging, internal key stripping,
and full config round-trip.
Original work by @austinpickett (PR #1813), salvaged by @kshitijk4poor
(PR #7621 → #8204), re-salvaged onto current main with stale-branch
regressions removed.
* fix(web): clean up status page cards, always rebuild on `hermes web`
- Remove config version migration alert banner from status page
- Remove config version card (internal noise, not surfaced in TUI)
- Reorder status cards: Agent → Gateway → Active Sessions (3-col grid)
- `hermes web` now always rebuilds from source before serving,
preventing stale web_dist when editing frontend files
* feat(web): full-text search across session messages
- Add GET /api/sessions/search endpoint backed by FTS5
- Auto-append prefix wildcards so partial words match (e.g. 'nimb' → 'nimby')
- Debounced search (300ms) with spinner in the search icon slot
- Search results show FTS5 snippets with highlighted match delimiters
- Expanding a search hit auto-scrolls to the first matching message
- Matching messages get a warning ring + 'match' badge
- Inline term highlighting within Markdown (text, bold, italic, headings, lists)
- Clear button (x) on search input for quick reset
---------
Co-authored-by: emozilla <emozilla@nousresearch.com>
OpenCode Zen was in _DOT_TO_HYPHEN_PROVIDERS, causing all dotted model
names (minimax-m2.5-free, gpt-5.4, glm-5.1) to be mangled. The fix:
Layer 1 (model_normalize.py): Remove opencode-zen from the blanket
dot-to-hyphen set. Add an explicit block that preserves dots for
non-Claude models while keeping Claude hyphenated (Zen's Claude
endpoint uses anthropic_messages mode which expects hyphens).
Layer 2 (run_agent.py _anthropic_preserve_dots): Add opencode-zen and
zai to the provider allowlist. Broaden URL check from opencode.ai/zen/go
to opencode.ai/zen/ to cover both Go and Zen endpoints. Add bigmodel.cn
for ZAI URL detection.
Also adds glm-5.1 to ZAI model lists in models.py and setup.py.
Closes#7710
Salvaged from contributions by:
- konsisumer (PR #7739, #7719)
- DomGrieco (PR #8708)
- Esashiero (PR #7296)
- sharziki (PR #7497)
- XiaoYingGee (PR #8750)
- APTX4869-maker (PR #8752)
- kagura-agent (PR #7157)
Adds /debug as a slash command available in CLI, Telegram, Discord,
Slack, and all other gateway platforms. Uploads debug report + full
logs to paste services and returns shareable URLs.
- commands.py: CommandDef in Info category (no cli_only/gateway_only)
- gateway/run.py: async handler with run_in_executor for blocking I/O
- cli.py: dispatch in process_command to run_debug_share
* feat: add `hermes debug share` — upload debug report to pastebin
Adds a new `hermes debug share` command that collects system info
(via hermes dump), recent logs (agent.log, errors.log, gateway.log),
and uploads the combined report to a paste service (paste.rs primary,
dpaste.com fallback). Returns a shareable URL for support.
Options:
--lines N Number of log lines per file (default: 200)
--expire N Paste expiry in days (default: 7, dpaste.com only)
--local Print report locally without uploading
Files:
hermes_cli/debug.py - New module: paste upload + report collection
hermes_cli/main.py - Wire cmd_debug + argparse subparser
tests/hermes_cli/test_debug.py - 19 tests covering upload, collection, CLI
* feat: upload full agent.log and gateway.log as separate pastes
hermes debug share now uploads up to 3 pastes:
1. Summary report (system info + log tails) — always
2. Full agent.log (last ~500KB) — if file exists
3. Full gateway.log (last ~500KB) — if file exists
Each paste uploads independently; log upload failures are noted
but don't block the main report. Output shows all links aligned:
Report https://paste.rs/abc
agent.log https://paste.rs/def
gateway.log https://paste.rs/ghi
Also adds _read_full_log() with size-capped tail reading to stay
within paste service limits (~512KB per file).
* feat: prepend hermes dump to each log paste for self-contained context
Each paste (agent.log, gateway.log) now starts with the hermes dump
output so clicking any single link gives full system context without
needing to cross-reference the summary report.
Refactored dump capture into _capture_dump() — called once and
reused across the summary report and each log paste.
* fix: fall back to .1 rotated log when primary log is missing or empty
When gateway.log (or agent.log) doesn't exist or is empty, the debug
share now checks for the .1 rotation file. This is common — the
gateway rotates logs and the primary file may not exist yet.
Extracted _resolve_log_path() to centralize the fallback logic for
both _read_log_tail() and _read_full_log().
* chore: remove unused display_hermes_home import
