kimi-for-coding triggers 401/403 access-terminated errors.
Apply workaround consistently:
- Remove from _PROVIDER_MODELS['kimi-coding'] and coding plan selection
- Update tests to expect kimi-k2.5 instead
- Update docs and reports
- Live config on Beta VPS also corrected
* feat: switch managed browser provider from Browserbase to Browser Use
The Nous subscription tool gateway now routes browser automation through
Browser Use instead of Browserbase. This commit:
- Adds managed Nous gateway support to BrowserUseProvider (idempotency
keys, X-BB-API-Key auth header, external_call_id persistence)
- Removes managed gateway support from BrowserbaseProvider (now
direct-only via BROWSERBASE_API_KEY/BROWSERBASE_PROJECT_ID)
- Updates browser_tool.py fallback: prefers Browser Use over Browserbase
- Updates nous_subscription.py: gateway vendor 'browser-use', auto-config
sets cloud_provider='browser-use' for new subscribers
- Updates tools_config.py: Nous Subscription entry now uses Browser Use
- Updates setup.py, cli.py, status.py, prompt_builder.py display strings
- Updates all affected tests to match new behavior
Browserbase remains fully functional for users with direct API credentials.
The change only affects the managed/subscription path.
* chore: remove redundant Browser Use hint from system prompt
* fix: upgrade Browser Use provider to v3 API
- Base URL: api/v2 -> api/v3 (v2 is legacy)
- Unified all endpoints to use native Browser Use paths:
- POST /browsers (create session, returns cdpUrl)
- PATCH /browsers/{id} with {action: stop} (close session)
- Removed managed-mode branching that used Browserbase-style
/v1/sessions paths — v3 gateway now supports /browsers directly
- Removed unused managed_mode variable in close_session
* fix(browser-use): use X-Browser-Use-API-Key header for managed mode
The managed gateway expects X-Browser-Use-API-Key, not X-BB-API-Key
(which is a Browserbase-specific header). Using the wrong header caused
a 401 AUTH_ERROR on every managed-mode browser session create.
Simplified _headers() to always use X-Browser-Use-API-Key regardless
of direct vs managed mode.
* fix(nous_subscription): browserbase explicit provider is direct-only
Since managed Nous gateway now routes through Browser Use, the
browserbase explicit provider path should not check managed_browser_available
(which resolves against the browser-use gateway). Simplified to direct-only
with managed=False.
* fix(browser-use): port missing improvements from PR #5605
- CDP URL normalization: resolve HTTP discovery URLs to websocket after
cloud provider create_session() (prevents agent-browser failures)
- Managed session payload: send timeout=5 and proxyCountryCode=us for
gateway-backed sessions (prevents billing overruns)
- Update prompt builder, browser_close schema, and module docstring to
replace remaining Browserbase references with Browser Use
- Dynamic /browser status detection via _get_cloud_provider() instead
of hardcoded env var checks (future-proof for new providers)
- Rename post_setup key from 'browserbase' to 'agent_browser'
- Update setup hint to mention Browser Use alongside Browserbase
- Add tests: CDP normalization, browserbase direct-only guard,
managed browser-use gateway, direct browserbase fallback
---------
Co-authored-by: rob-maron <132852777+rob-maron@users.noreply.github.com>
The filter in cmd_update() excluded is_default profiles from the
cross-profile skill sync loop. When running 'hermes update' from a
named profile (e.g. hermes -p coder update), the default profile
(~/.hermes) never received new bundled skills.
Remove the 'not p.is_default' condition so all profiles — including
default — are synced regardless of which profile runs the update.
Reported by olafgeibig.
The credential pool seeder and runtime credential resolver hardcoded
api.z.ai/api/paas/v4 for all Z.AI keys. Keys on the Coding Plan (or CN
endpoint) would hit the wrong endpoint, causing 401/429 errors on the
first request even though a working endpoint exists.
Add _resolve_zai_base_url() that:
- Respects GLM_BASE_URL env var (no probe when explicitly set)
- Probes all candidate endpoints (global, cn, coding-global, coding-cn)
via detect_zai_endpoint() to find one that returns HTTP 200
- Caches the detected endpoint in provider state (auth.json) keyed on
a SHA-256 hash of the API key so subsequent starts skip the probe
- Falls back to the default URL if all probes fail
Wire into both _seed_from_env() in the credential pool and
resolve_api_key_provider_credentials() in the runtime resolver,
matching the pattern from the kimi-coding fix (PR #5566).
Fixes the same class of bug as #5561 but for the zai provider.
When resolve_runtime_provider is called with requested='auto' and
auth.json has a stale active_provider (nous or openai-codex) whose
OAuth refresh token has been revoked, the AuthError now falls through
to the next provider in the chain (e.g. OpenRouter via env vars)
instead of propagating to the user as a blocking error.
When the user explicitly requested the OAuth provider, the error
still propagates so they know to re-authenticate.
Root cause: resolve_provider('auto') checks auth.json for an active
OAuth provider before checking env vars. get_nous_auth_status()
reports logged_in=True if any access_token exists (even expired),
so the Nous path is taken. resolve_nous_runtime_credentials() then
tries to refresh the token, fails with 'Refresh session has been
revoked', and the AuthError bubbles up to the CLI bold-red display.
Adds 3 tests: Nous fallthrough, Codex fallthrough, explicit-request
still raises.
signal-cli is not available via apt or snap. Replace the incorrect
'sudo apt install signal-cli' with the official install method:
downloading from GitHub releases (Linux) or brew (macOS).
Updated both signal.md docs and the gateway.py setup hint.
Inspired by PR #4225 (which proposed snap, also incorrect).
Three bugs causing OpenAI Codex sessions to fail silently:
1. Credential pool vs legacy store disconnect: hermes auth and hermes
model store device_code tokens in the credential pool, but
get_codex_auth_status(), resolve_codex_runtime_credentials(), and
_model_flow_openai_codex() only read from the legacy provider state.
Fresh pool tokens were invisible to the auth status checks and model
selection flow.
2. _import_codex_cli_tokens() imported expired tokens from ~/.codex/
without checking JWT expiry. Combined with _login_openai_codex()
saying 'Login successful!' for expired credentials, users got stuck
in a loop of dead tokens being recycled.
3. _login_openai_codex() accepted expired tokens from
resolve_codex_runtime_credentials() without validating expiry before
telling the user login succeeded.
Fixes:
- get_codex_auth_status() now checks credential pool first, falls back
to legacy provider state
- _model_flow_openai_codex() uses pool-aware auth status for token
retrieval when fetching model lists
- _import_codex_cli_tokens() validates JWT exp claim, rejects expired
- _login_openai_codex() verifies resolved token isn't expiring before
accepting existing credentials
- _run_codex_stream() logs response.incomplete/failed terminal events
with status and incomplete_details for diagnostics
- Codex empty output recovery: captures streamed text during streaming
and synthesizes a response when get_final_response() returns empty
output (handles chatgpt.com backend-api edge cases)
Two fixes:
1. Replace all stale 'hermes login' references with 'hermes auth' across
auth.py, auxiliary_client.py, delegate_tool.py, config.py, run_agent.py,
and documentation. The 'hermes login' command was deprecated; 'hermes auth'
now handles OAuth credential management.
2. Fix credential removal not persisting for singleton-sourced credentials
(device_code for openai-codex/nous, hermes_pkce for anthropic).
auth_remove_command already cleared env vars for env-sourced credentials,
but singleton credentials stored in the auth store were re-seeded by
_seed_from_singletons() on the next load_pool() call. Now clears the
underlying auth store entry when removing singleton-sourced credentials.
Two issues caused Matrix E2EE to silently not work in encrypted rooms:
1. When matrix-nio is installed without the [e2e] extra (no python-olm /
libolm), nio.crypto.ENCRYPTION_ENABLED is False and client.olm is
never initialized. The adapter logged warnings but returned True from
connect(), so the bot appeared online but could never decrypt messages.
Now: check_matrix_requirements() and connect() both hard-fail with a
clear error message when MATRIX_ENCRYPTION=true but E2EE deps are
missing.
2. Without a stable device_id, the bot gets a new device identity on each
restart. Other clients see it as "unknown device" and refuse to share
Megolm session keys. Now: MATRIX_DEVICE_ID env var lets users pin a
stable device identity that persists across restarts and is passed to
nio.AsyncClient constructor + restore_login().
Changes:
- gateway/platforms/matrix.py: add _check_e2ee_deps(), hard-fail in
connect() and check_matrix_requirements(), MATRIX_DEVICE_ID support
in constructor + restore_login
- gateway/config.py: plumb MATRIX_DEVICE_ID into platform extras
- hermes_cli/config.py: add MATRIX_DEVICE_ID to OPTIONAL_ENV_VARS
Closes#3521
When the Codex CLI (or VS Code extension) consumes a refresh token before
Hermes can use it, Hermes previously surfaced a generic 401 error with no
actionable guidance.
- In `refresh_codex_oauth_pure`: detect `refresh_token_reused` from the
OAuth endpoint and raise an AuthError explaining the cause and the exact
steps to recover (run `codex` to refresh, then `hermes login`).
- In `run_agent.py`: when provider is `openai-codex` and HTTP 401 is
received, show Codex-specific recovery steps instead of the generic
"check your API key" message.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Follow-up to PR #5470. Replaces hardcoded ~/.hermes/.env references with
display_hermes_home() for correct behavior under profiles. Also updates
PluginManifest.requires_env type hint to List[Union[str, Dict[str, Any]]]
to document the rich format introduced in #5470.
* feat(tools): add Firecrawl cloud browser provider
Adds Firecrawl (https://firecrawl.dev) as a cloud browser provider
alongside Browserbase and Browser Use. All browser tools route through
Firecrawl's cloud browser via CDP when selected.
- tools/browser_providers/firecrawl.py — FirecrawlProvider
- tools/browser_tool.py — register in _PROVIDER_REGISTRY
- hermes_cli/tools_config.py — add to onboarding provider picker
- hermes_cli/setup.py — add to setup summary
- hermes_cli/config.py — add FIRECRAWL_BROWSER_TTL config
- website/docs/ — browser docs and env var reference
Based on #4490 by @developersdigest.
Co-Authored-By: Developers Digest <124798203+developersdigest@users.noreply.github.com>
* refactor: simplify FirecrawlProvider.emergency_cleanup
Use self._headers() and self._api_url() instead of duplicating
env-var reads and header construction.
* fix: recognize Firecrawl in subscription browser detection
_resolve_browser_feature_state() now handles "firecrawl" as a direct
browser provider (same pattern as "browser-use"), so hermes setup
summary correctly shows "Browser Automation (Firecrawl)" instead of
misreporting as "Local browser".
Also fixes test_config_version_unchanged assertion (11 → 12).
---------
Co-authored-by: Developers Digest <124798203+developersdigest@users.noreply.github.com>
Skills can now declare config.yaml settings via metadata.hermes.config
in their SKILL.md frontmatter. Values are stored under skills.config.*
namespace, prompted during hermes config migrate, shown in hermes config
show, and injected into the skill context at load time.
Also adds the llm-wiki skill (Karpathy's LLM Wiki pattern) as the first
skill to use the new config interface, declaring wiki.path.
Skill config interface (new):
- agent/skill_utils.py: extract_skill_config_vars(), discover_all_skill_config_vars(),
resolve_skill_config_values(), SKILL_CONFIG_PREFIX
- agent/skill_commands.py: _inject_skill_config() injects resolved values
into skill messages as [Skill config: ...] block
- hermes_cli/config.py: get_missing_skill_config_vars(), skill config
prompting in migrate_config(), Skill Settings in show_config()
LLM Wiki skill (skills/research/llm-wiki/SKILL.md):
- Three-layer architecture (raw sources, wiki pages, schema)
- Three operations (ingest, query, lint)
- Session orientation, page thresholds, tag taxonomy, update policy,
scaling guidance, log rotation, archiving workflow
Docs: creating-skills.md, configuration.md, skills.md, skills-catalog.md
Closes#5100
When an alias like 'claude' can't be resolved on the current provider,
_resolve_alias_fallback() tries other providers. Previously it hardcoded
('openrouter', 'nous') — so '/model claude' on z.ai would resolve to
openrouter even if the user doesn't have openrouter credentials but does
have anthropic.
Now the fallback uses the user's actual authenticated providers (detected
via list_authenticated_providers which is backed by the models.dev
in-memory cache). If no authenticated providers are found, falls back to
the old ('openrouter', 'nous') for backwards compatibility.
New helper: get_authenticated_provider_slugs() returns just the slug
strings from list_authenticated_providers().
launchctl kickstart returns exit code 113 ("Could not find service") when
the plist exists but the job hasn't been bootstrapped into the runtime domain.
The existing recovery path only caught exit code 3 ("unloaded"), causing an
unhandled CalledProcessError.
Exit code 113 means the same thing practically -- the service definition needs
bootstrapping before it can be kicked. Add it to the same recovery path that
already handles exit 3, matching the existing pattern in launchd_stop().
Follow-up: add a unit test covering the 113 recovery path.
Centralize the skill → slash command registration that Telegram already had
in commands.py so Discord uses the exact same priority system, filtering,
and cap enforcement:
1. Core/built-in commands (never trimmed)
2. Plugin commands (never trimmed)
3. Skill commands (fill remaining slots, alphabetical, only tier trimmed)
Changes:
hermes_cli/commands.py:
- Rename _TG_NAME_LIMIT → _CMD_NAME_LIMIT (32 chars shared by both platforms)
- Rename _clamp_telegram_names → _clamp_command_names (generic)
- Extract _collect_gateway_skill_entries() — shared plugin + skill
collection with platform filtering, name sanitization, description
truncation, and cap enforcement
- Refactor telegram_menu_commands() to use the shared helper
- Add discord_skill_commands() that returns (name, desc, cmd_key) triples
- Preserve _sanitize_telegram_name() for Telegram-specific name cleaning
gateway/platforms/discord.py:
- Call discord_skill_commands() from _register_slash_commands()
- Create app_commands.Command per skill entry with cmd_key callback
- Respect 100-command global Discord limit
- Log warning when skills are skipped due to cap
Backward-compat aliases preserved for _TG_NAME_LIMIT and
_clamp_telegram_names.
Tests: 9 new tests (7 Discord + 2 backward-compat), 98 total pass.
Inspired by PR #5498 (sprmn24). Closes#5480.
Telegram Bot API requires command names to contain only lowercase a-z,
digits 0-9, and underscores. Skill/plugin names containing characters
like +, /, @, or . caused set_my_commands to fail with
Bot_command_invalid.
Two-layer fix:
- scan_skill_commands(): strip non-alphanumeric/non-hyphen chars from
cmd_key at source, collapse consecutive hyphens, trim edges, skip
names that sanitize to empty string
- _sanitize_telegram_name(): centralized helper used by all 3 Telegram
name generation sites (core commands, plugin commands, skill commands)
with empty-name guard at each call site
Closes#5534
OpenCode Go model names with dots (minimax-m2.7, glm-4.5, kimi-k2.5)
were being mangled to hyphens (minimax-m2-7), causing HTTP 401 errors.
Two code paths were affected:
1. model_normalize.py: opencode-go was incorrectly in DOT_TO_HYPHEN_PROVIDERS
2. run_agent.py: _anthropic_preserve_dots() did not check for opencode-go
Fix:
- Remove opencode-go from _DOT_TO_HYPHEN_PROVIDERS (dots are correct for Go)
- Add opencode-go to _anthropic_preserve_dots() provider check
- Add opencode.ai/zen/go to base_url fallback check
- Add regression tests in tests/test_model_normalize.py
Co-authored-by: jacob3712 <jacob3712@users.noreply.github.com>
When agent_key is missing from auth state (expired, not yet minted,
or mint failed silently), the fallback chain fell through to
access_token — an OAuth bearer token for the Nous portal API, not
an inference credential. The Nous inference API returns 404 because
the OAuth token is not a valid inference key.
Remove the access_token fallback so an empty agent_key correctly
triggers resolve_nous_runtime_credentials() to mint a fresh key.
Closes#5562
After restarting a service-managed gateway (systemd/launchd), the
stale-process sweep calls find_gateway_pids() which returns ALL gateway
PIDs via ps aux — including the one just spawned by the service manager.
The sweep kills it, leaving the user with a stopped gateway and a
confusing 'Restart manually' message.
Fix: add _get_service_pids() to query systemd MainPID and launchd PID
for active gateway services, then exclude those PIDs from the sweep.
Also add exclude_pids parameter to find_gateway_pids() and
kill_gateway_processes() so callers can skip known service-managed PIDs.
Adds 9 targeted tests covering:
- _get_service_pids() for systemd, launchd, empty, and zero-PID cases
- find_gateway_pids() exclude_pids filtering
- cmd_update integration: service PID not killed after restart
- cmd_update integration: manual PID killed while service PID preserved
- Rename per-LLM-call hooks from pre_llm_request/post_llm_request for clarity vs pre_llm_call
- Emit summary kwargs only (counts, usage dict from normalize_usage); keep env_var_enabled for HERMES_DUMP_REQUESTS
- Add is_truthy_value/env_var_enabled to utils; wire hermes_cli.plugins._env_enabled through it
- Update Langfuse local setup doc; add scripts/langfuse_smoketest.py and optional ~/.hermes plugin tests
Made-with: Cursor
Add validate_config_structure() that catches common config.yaml mistakes:
- custom_providers as dict instead of list (missing '-' in YAML)
- fallback_model accidentally nested inside another section
- custom_providers entries missing required fields (name, base_url)
- Missing model section when custom_providers is configured
- Root-level keys that look like misplaced custom_providers fields
Surface these diagnostics at three levels:
1. Startup: print_config_warnings() runs at CLI and gateway module load,
so users see issues before hitting cryptic errors
2. Error time: 'Unknown provider' errors in auth.py and model_switch.py
now include config diagnostics with fix suggestions
3. Doctor: 'hermes doctor' shows a Config Structure section with all
issues and fix hints
Also adds a warning log in runtime_provider.py when custom_providers
is a dict (previously returned None silently).
Motivated by a Discord user who had malformed custom_providers YAML
and got only 'Unknown Provider' with no guidance on what was wrong.
17 new tests covering all validation paths.
All 35 subprocess.run() calls in hermes_cli/gateway.py lacked timeout
parameters. If systemctl, launchctl, loginctl, wmic, or ps blocks,
hermes gateway start/stop/restart/status/install/uninstall hangs
indefinitely with no feedback.
Timeouts tiered by operation type:
- 10s: instant queries (is-active, status, list, ps, tail, journalctl)
- 30s: fast lifecycle (daemon-reload, enable, start, bootstrap, kickstart)
- 90s: graceful shutdown (stop, restart, bootout, kickstart -k) — exceeds
our TimeoutStopSec=60 to avoid premature timeout during shutdown
Special handling: _is_service_running() and launchd_status() catch
TimeoutExpired and treat it as not-running/not-loaded, consistent with
how non-zero return codes are already handled.
Inspired by PR #3732 (dlkakbs) and issue #4057 (SHL0MS).
Reimplemented on current main which has significantly changed launchctl
handling (bootout/bootstrap/kickstart vs legacy load/unload/start/stop).
The _login_nous() call site was pre-filling portal_base_url,
inference_base_url, client_id, and scope with pconfig defaults before
passing them to _nous_device_code_login(). Since pconfig defaults are
always truthy, the env var checks inside the function (HERMES_PORTAL_BASE_URL,
NOUS_PORTAL_BASE_URL, NOUS_INFERENCE_BASE_URL) could never take effect.
Fix: pass None from the call site when no CLI flag is provided, letting
the function's own priority chain handle defaults correctly:
explicit CLI flag > env var > pconfig default.
Addresses the issue reported in PR #5397 by jquesnelle.
Display live per-million-token pricing from /v1/models when listing
models for OpenRouter or Nous Portal. Prices are shown in a
column-aligned table with decimal points vertically aligned for
easy comparison.
Pricing appears in three places:
- /provider slash command (table with In/Out headers)
- hermes model picker (aligned columns in both TerminalMenu and
numbered fallback)
Implementation:
- Add fetch_models_with_pricing() in models.py with per-base_url
module-level cache (one network call per endpoint per session)
- Add _format_price_per_mtok() with fixed 2-decimal formatting
- Add format_model_pricing_table() for terminal table display
- Add get_pricing_for_provider() convenience wrapper
- Update _prompt_model_selection() to accept optional pricing dict
- Wire pricing through _model_flow_openrouter/nous in main.py
- Update test mocks for new pricing parameter
The gateway previously used a hard wall-clock asyncio.wait_for timeout
that killed agents after a fixed duration regardless of activity. This
punished legitimate long-running tasks (subagent delegation, reasoning
models, multi-step research).
Now uses an inactivity-based polling loop that checks the agent's
built-in activity tracker (get_activity_summary) every 5 seconds. The
agent can run indefinitely as long as it's actively calling tools or
receiving API responses. Only fires when the agent has been completely
idle for the configured duration.
Changes:
- Replace asyncio.wait_for with asyncio.wait poll loop checking
agent idle time via get_activity_summary()
- Add agent.gateway_timeout config.yaml key (default 1800s, 0=unlimited)
- Update stale session eviction to use agent idle time instead of
pure wall-clock (prevents evicting active long-running tasks)
- Preserve all existing diagnostic logging and user-facing context
Inspired by PR #4864 (Mibayy) and issue #4815 (BongSuCHOI).
Reimplemented on current main using existing _touch_activity()
infrastructure rather than a parallel tracker.
Nous Research Hermes 3 & 4 models lack tool-calling capabilities and
are not suitable for agent workflows. Add a warning that fires in two
places:
- /model switch (CLI + gateway) via model_switch.py warning_message
- CLI session startup banner when the configured model contains 'hermes'
Both paths suggest switching to an agentic model (Claude, GPT, Gemini,
DeepSeek, etc.).
Reject "." as a plugin name — it resolves to the plugins directory
itself, which in force-install flows causes shutil.rmtree to wipe the
entire plugins tree.
- reject "." early with a clear error message
- explicit check for target == plugins_resolved (raise instead of allow)
- switch boundary check from string-prefix to Path.relative_to()
- add regression tests for sanitizer + install flow
Co-authored-by: Dusk1e <yusufalweshdemir@gmail.com>
Add ctx.register_cli_command() to PluginContext for general plugins and
discover_plugin_cli_commands() to memory plugin system. Plugins that
provide a register_cli(subparser) function in their cli.py are
automatically discovered during argparse setup and wired into the CLI.
- Remove 95-line hardcoded honcho argparse block from main.py
- Move honcho subcommand tree into plugins/memory/honcho/cli.py
via register_cli() convention
- hermes honcho setup now redirects to hermes memory setup (unified path)
- hermes honcho (no subcommand) shows status instead of running setup
- Future plugins can register CLI commands without touching core files
- PluginManager stores CLI registrations in _cli_commands dict
- Memory plugin discovery scans cli.py for register_cli at argparse time
main.py: -102 lines of hardcoded plugin routing
Removing an env-seeded credential (e.g. from OPENROUTER_API_KEY) via
'hermes auth' previously had no lasting effect -- the entry was deleted
from auth.json but load_pool() re-created it on the next call because
the env var was still set.
Now auth_remove_command detects env-sourced entries (source starts with
'env:') and calls the new remove_env_value() to strip the var from both
.env and os.environ, preventing re-seeding.
Changes:
- hermes_cli/config.py: add remove_env_value() -- atomically removes a
line from .env and pops from os.environ
- hermes_cli/auth_commands.py: auth_remove_command clears env var when
removing an env-seeded pool entry
- 8 new tests covering remove_env_value and the full zombie-credential
lifecycle (remove -> reload -> stays gone)
Replace the two-step stop/start restart with a single
launchctl kickstart -k call. When the gateway triggers a
restart from inside its own process tree, the old stop
command kills the shell before the start half is reached.
kickstart -k lets launchd handle the kill+restart atomically.
launchctl load/unload/start/stop are deprecated on macOS since 10.10
and fail silently on modern versions. This replaces them with the
current equivalents:
- load -> bootstrap gui/<uid> <plist>
- unload -> bootout gui/<uid>/<label>
- start -> kickstart gui/<uid>/<label>
- stop -> kill SIGTERM gui/<uid>/<label>
Adds _launchd_domain() helper returning the gui/<uid> target domain.
Updates test assertions to match the new command signatures.
Fixes#4820
- Firecrawl scrape: 60s timeout via asyncio.wait_for + to_thread
(previously could hang indefinitely)
- Summarizer retries: 6 → 2 (one retry), reads timeout from
auxiliary.web_extract.timeout config (default 360s / 6min)
- Summarizer failure: falls back to truncated raw content (~5000 chars)
instead of useless error message, with guidance about config/model
- Config default: auxiliary.web_extract.timeout bumped 30 → 360s
for local model compatibility
Addresses Discord reports of agent hanging during web_extract.
Cherry-picked from PR #5136 by thakoreh.
setup_gateway() uses shutil.which('uv') at line 2126 but shutil was
never imported at module level, causing NameError during Matrix E2EE
auto-install. Adds top-level import and regression test.
- Add OLLAMA_API_KEY to credential resolution chain for ollama.com endpoints
- Update requested_provider/_explicit_api_key/_explicit_base_url after /model
switch so _ensure_runtime_credentials() doesn't revert the switch
- Pass base_url/api_key from fallback config to resolve_provider_client()
- Add DirectAlias system: user-configurable model_aliases in config.yaml
checked before catalog resolution, with reverse lookup by model ID
- Add /model tab completion showing aliases with provider metadata
Co-authored-by: LucidPaths <LucidPaths@users.noreply.github.com>
* feat(gateway): live-stream /update output + forward interactive prompts
Adds real-time output streaming and interactive prompt forwarding for
the gateway /update command, so users on Telegram/Discord/etc see the
full update progress and can respond to prompts (stash restore, config
migration) without needing terminal access.
Changes:
hermes_cli/main.py:
- Add --gateway flag to 'hermes update' argparse
- Add _gateway_prompt() file-based IPC function that writes
.update_prompt.json and polls for .update_response
- Modify _restore_stashed_changes() to accept optional input_fn
parameter for gateway mode prompt forwarding
- cmd_update() uses _gateway_prompt when --gateway is set, enabling
interactive stash restore and config migration prompts
gateway/run.py:
- _handle_update_command: spawn with --gateway flag and
PYTHONUNBUFFERED=1 for real-time output flushing
- Store session_key in .update_pending.json for cross-restart
session matching
- Add _update_prompt_pending dict to track sessions awaiting
update prompt responses
- Replace _watch_for_update_completion with _watch_update_progress:
streams output chunks every ~4s, detects .update_prompt.json and
forwards prompts to the user, handles completion/failure/timeout
- Add update prompt interception in _handle_message: when a prompt
is pending, the user's next message is written to .update_response
instead of being processed normally
- Preserve _send_update_notification as legacy fallback for
post-restart cases where adapter isn't available yet
File-based IPC protocol:
- .update_prompt.json: written by update process with prompt text,
default value, and unique ID
- .update_response: written by gateway with user's answer
- .update_output.txt: existing, now streamed in real-time
- .update_exit_code: existing completion marker
Tests: 16 new tests covering _gateway_prompt IPC, output streaming,
prompt detection/forwarding, message interception, and cleanup.
* feat: interactive buttons for update prompts (Telegram + Discord)
Telegram: Inline keyboard with ✓ Yes / ✗ No buttons. Clicking a button
answers the callback query, edits the message to show the choice, and
writes .update_response directly. CallbackQueryHandler registered on
the update_prompt: prefix.
Discord: UpdatePromptView (discord.ui.View) with green Yes / red No
buttons. Follows the ExecApprovalView pattern — auth check, embed color
update, disabled-after-click. Writes .update_response on click.
All platforms: /approve and /deny (and /yes, /no) now work as shorthand
for yes/no when an update prompt is pending. The text fallback message
instructs users to use these commands. Raw message interception still
works as a fallback for non-command responses.
Gateway watcher checks adapter for send_update_prompt method (class-level
check to avoid MagicMock false positives) and falls back to text prompt
with /approve instructions when unavailable.
* fix: block /update on non-messaging platforms (API, webhooks, ACP)
Add _UPDATE_ALLOWED_PLATFORMS frozenset that explicitly lists messaging
platforms where /update is permitted. API server, webhook, and ACP
platforms get a clear error directing them to run hermes update from
the terminal instead.
ACP and API server already don't reach _handle_message (separate
codepaths), and webhooks have distinct session keys that can't collide
with messaging sessions. This guard is belt-and-suspenders.
