Platforms that don't return a message_id after the first send (Signal,
GitHub webhooks) were causing GatewayStreamConsumer to re-enter the
"first send" path on every tool boundary, posting one platform message
per tool call (observed as 155 PR comments on a single response).
Fix: treat _message_id == "__no_edit__" as a sentinel meaning "platform
accepted the send but cannot be edited". When a tool boundary arrives
in that state, skip the message_id/accumulated/last_sent_text reset so
all continuation text is delivered once via _send_fallback_final rather
than re-posted per segment.
Also make prompt_toolkit imports in hermes_cli/commands.py optional so
gateway and test environments that lack the package can still import
resolve_command, gateway_help_lines, and COMMAND_REGISTRY.
launchd_stop() previously used `launchctl kill SIGTERM` which only
signals the process. Because the plist has KeepAlive.SuccessfulExit=false,
launchd immediately respawns the gateway — making `hermes gateway stop`
a no-op that prints '✓ Service stopped' while the service keeps running.
Switch to `launchctl bootout` which unloads the service definition so
KeepAlive can't trigger. The process exits and stays stopped until
`hermes gateway start` (which already handles re-bootstrapping unloaded
jobs via error codes 3/113).
Also adds _wait_for_gateway_exit() after bootout to ensure the process
is fully gone before returning, and tolerates 'already unloaded' errors.
Fixes: .env changes not taking effect after gateway stop+restart on macOS.
The root cause was that stop didn't actually stop — the respawned process
loaded the old env before the user's restart command ran.
Automated dead code audit using vulture + coverage.py + ast-grep intersection,
confirmed by Opus deep verification pass. Every symbol verified to have zero
production callers (test imports excluded from reachability analysis).
Removes ~1,534 lines of dead production code across 46 files and ~1,382 lines
of stale test code. 3 entire files deleted (agent/builtin_memory_provider.py,
hermes_cli/checklist.py, tests/hermes_cli/test_setup_model_selection.py).
Co-authored-by: alt-glitch <balyan.sid@gmail.com>
When installing a system service via sudo, ExecStart, WorkingDirectory,
VIRTUAL_ENV, and PATH entries were not remapped to the target user's
home — only HERMES_HOME was. This caused the service to fail with
status=200/CHDIR because the target user cannot access /root/.
Adds _remap_path_for_user() helper and applies it to all path variables
in the system branch of generate_systemd_unit().
Closes#6989
Legacy flat stt.model config key (from cli-config.yaml.example and older
versions) was passed as a model override to transcribe_audio() by the
gateway, bypassing provider-specific model resolution. When the provider
was 'local' (faster-whisper), this caused:
ValueError: Invalid model size 'whisper-1'
Changes:
- gateway/run.py, discord.py: stop passing model override — let
transcribe_audio() handle provider-specific model resolution internally
- get_stt_model_from_config(): now provider-aware, reads from the correct
nested section (stt.local.model, stt.openai.model, etc.); ignores
legacy flat key for local provider to prevent model name mismatch
- cli-config.yaml.example: updated STT section to show nested provider
config structure instead of legacy flat key
- config migration v13→v14: moves legacy stt.model to the correct
provider section and removes the flat key
Reported by community user on Discord.
- Add custom_provider_slug() to hermes_cli/providers.py as the single
source of truth for building 'custom:<name>' slugs.
- Use it in resolve_custom_provider() and list_authenticated_providers()
instead of duplicated inline slug construction.
- Add _session_model_overrides and _voice_mode to gateway test runner
for object.__new__() safety.
Custom providers defined in config.yaml under were
completely invisible to the /model command in both gateway (Telegram,
Discord, etc.) and CLI. The provider listing skipped them and explicit
switching via --provider failed with "Unknown provider".
Root cause: gateway/run.py, cli.py, and model_switch.py only read the
dict from config, ignoring entirely.
Changes:
- providers.py: add resolve_custom_provider() and extend
resolve_provider_full() to check custom_providers after user_providers
- model_switch.py: propagate custom_providers through switch_model(),
list_authenticated_providers(), and get_authenticated_provider_slugs();
add custom provider section to provider listings
- gateway/run.py: read custom_providers from config, pass to all
model-switch calls
- cli.py: hoist config loading, pass custom_providers to listing and
switch calls
Tests: 4 new regression tests covering listing, resolution, and gateway
command handler. All 71 tests pass.
Add DISCORD_ALLOWED_CHANNELS (env var) / discord.allowed_channels (config.yaml)
support to restrict the bot to only respond in specified channels.
When set, messages from any channel NOT in the allowed list are silently
ignored — even if the bot is @mentioned. This provides a secure default-
deny posture vs the existing ignored_channels which is default-allow.
This is especially useful when bots in other channels may create new
channels dynamically (e.g., project bots) — a blacklist requires constant
maintenance while a whitelist is set-and-forget.
Follows the same config pattern as ignored_channels and free_response_channels:
- Env var: DISCORD_ALLOWED_CHANNELS (comma-separated channel IDs)
- Config: discord.allowed_channels (string or list of channel IDs)
- Env var takes precedence over config.yaml
- Empty/unset = no restriction (backward compatible)
Files changed:
- gateway/platforms/discord.py: check allowed_channels before ignored_channels
- gateway/config.py: map discord.allowed_channels → DISCORD_ALLOWED_CHANNELS
- hermes_cli/config.py: add allowed_channels to DEFAULT_CONFIG
Operators running a web server (nginx, caddy) that needs to traverse ~/.hermes/ can now set HERMES_HOME_MODE=0701 (or any octal mode) instead of having _secure_dir() revert their manual chmod on every gateway restart. Default behavior (0o700) is unchanged. Fixes#6991. Contributed by @ygd58.
The GitHub Copilot API now requires a Copilot-Integration-Id header
on all requests. Without it, every API call fails with HTTP 400:
"missing required Copilot-Integration-Id header".
Uses vscode-chat as the integration ID, matching opencode which
shares the same OAuth client ID (Ov23li8tweQw6odWQebz).
Fixes: Copilot provider fails with "missing required Copilot-Integration-Id header" (HTTP 400)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The hardcoded User-Agent 'KimiCLI/1.3' is outdated — Kimi CLI is now at
v1.30.0. The stale version string causes intermittent 403 errors from
Kimi's coding endpoint ('only available for Coding Agents').
Update all 8 occurrences across run_agent.py, auxiliary_client.py, and
doctor.py to 'KimiCLI/1.30.0' to match the current official Kimi CLI.
Extends the /fast command to support Anthropic's Fast Mode beta in addition
to OpenAI Priority Processing. When enabled on Claude Opus 4.6, adds
speed:"fast" and the fast-mode-2026-02-01 beta header to API requests for
~2.5x faster output token throughput.
Changes:
- hermes_cli/models.py: Add _ANTHROPIC_FAST_MODE_MODELS registry,
model_supports_fast_mode() now recognizes Claude Opus 4.6,
resolve_fast_mode_overrides() returns {speed: fast} for Anthropic
vs {service_tier: priority} for OpenAI
- agent/anthropic_adapter.py: Add _FAST_MODE_BETA constant,
build_anthropic_kwargs() accepts fast_mode=True which injects
speed:fast + beta header via extra_headers (skipped for third-party
Anthropic-compatible endpoints like MiniMax)
- run_agent.py: Pass fast_mode to build_anthropic_kwargs in the
anthropic_messages path of _build_api_kwargs()
- cli.py: Update _handle_fast_command with provider-aware messaging
(shows 'Anthropic Fast Mode' vs 'Priority Processing')
- hermes_cli/commands.py: Update /fast description to mention both
providers
- tests: 13 new tests covering Anthropic model detection, override
resolution, CLI availability, routing, adapter kwargs, and
third-party endpoint safety
When HERMES_ROOT was added for Nix-bundled TUI support, the fallback
was set to os.getcwd(). This overrode the TUI's own import.meta.dirname
resolution, so launching `hermes --tui` from outside the repo caused
the gateway client to look for venv/bin/python relative to the user's
working directory instead of the repo root.
Use PROJECT_ROOT (resolved from the source file location) as the
fallback, which is stable regardless of where the command is invoked.
When `hermes update` stashes local changes and the restore hits merge
conflicts, the old code prompted the user to reset or keep conflict
markers. If the user declined the reset, git conflict markers
(<<<<<<< Updated upstream) were left in source files, making hermes
completely unrunnable with a SyntaxError on the next invocation.
Additionally, the interactive path called sys.exit(1), which killed
the entire update process before pip dependency install, skill sync,
and gateway restart could finish — even though the code pull itself
had succeeded.
Changes:
- Always auto-reset to clean state when stash restore conflicts
- Remove the "Reset working tree?" prompt (footgun)
- Remove sys.exit(1) — return False so cmd_update continues normally
- User's changes remain safely in the stash for manual recovery
Also fixes a secondary bug where the conflict handling prompt used
bare input() instead of the input_fn parameter, which would hang
in gateway mode.
Tests updated: replaced prompt/sys.exit assertions with auto-reset
behavior checks; removed the "user declines reset" test (path no
longer exists).
Previously /fast only supported gpt-5.4 and forced a provider switch to
openai-codex. Now supports all 13 models from OpenAI's Priority Processing
pricing table (gpt-5.4, gpt-5.4-mini, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini,
gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, o3, o4-mini).
Key changes:
- Replaced _FAST_MODE_BACKEND_CONFIG with _PRIORITY_PROCESSING_MODELS frozenset
- Removed provider-forcing logic — service_tier is now injected into whatever
API path the user is already on (Codex Responses, Chat Completions, or
OpenRouter passthrough)
- Added request_overrides support to chat_completions path in run_agent.py
- Updated messaging from 'Codex inference tier' to 'Priority Processing'
- Expanded test coverage for all supported models
Add /fast slash command to toggle OpenAI Codex service_tier between
normal and priority ('fast') inference. Only exposed for models
registered in _FAST_MODE_BACKEND_CONFIG (currently gpt-5.4).
- Registry-based backend config for extensibility
- Dynamic command visibility (hidden from help/autocomplete for
non-supported models) via command_filter on SlashCommandCompleter
- service_tier flows through request_overrides from route resolution
- Omit max_output_tokens for Codex backend (rejects it)
- Persists to config.yaml under agent.service_tier
Salvage cleanup: removed simple_term_menu/input() menu (banned),
bare /fast now shows status like /reasoning. Removed redundant
override resolution in _build_api_kwargs — single source of truth
via request_overrides from route.
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
* feat: API server model name derived from profile name
For multi-user setups (e.g. OpenWebUI), each profile's API server now
advertises a distinct model name on /v1/models:
- Profile 'lucas' -> model ID 'lucas'
- Profile 'admin' -> model ID 'admin'
- Default profile -> 'hermes-agent' (unchanged)
Explicit override via API_SERVER_MODEL_NAME env var or
platforms.api_server.model_name config for custom names.
Resolves friction where OpenWebUI couldn't distinguish multiple
hermes-agent connections all advertising the same model name.
* docs: multi-user setup with profiles for API server + Open WebUI
- api-server.md: added Multi-User Setup section, API_SERVER_MODEL_NAME
to config table, updated /v1/models description
- open-webui.md: added Multi-User Setup with Profiles section with
step-by-step guide, updated model name references
- environment-variables.md: added API_SERVER_MODEL_NAME entry
Replace 6 identical copies of the Termux detection function across
cli.py, browser_tool.py, voice_mode.py, status.py, doctor.py, and
gateway.py with a single shared implementation in hermes_constants.py.
Each call site imports with its original local name to preserve all
existing callers (internal references and test monkeypatches).
* feat(nix): shared-state permission model for interactive CLI users
Enable interactive CLI users in the hermes group to share full
read-write state (sessions, memories, logs, cron) with the gateway
service via a setgid + group-writable permission model.
Changes:
nix/nixosModules.nix:
- Directories use setgid 2770 (was 0750) so new files inherit the
hermes group. home/ stays 0750 (no interactive write needed).
- Activation script creates HERMES_HOME subdirs (cron, sessions, logs,
memories) — previously Python created them but managed mode now skips
mkdir.
- Activation migrates existing runtime files to group-writable (chmod
g+rw). Nix-managed files (config.yaml, .env, .managed) stay 0640/0644.
- Gateway systemd unit gets UMask=0007 so files it creates are 0660.
hermes_cli/config.py:
- ensure_hermes_home() splits into managed/unmanaged paths. Managed mode
verifies dirs exist (raises RuntimeError if not) instead of creating
them. Scoped umask(0o007) ensures SOUL.md is created as 0660.
hermes_logging.py:
- _ManagedRotatingFileHandler subclass applies chmod 0660 after log
rotation in managed mode. RotatingFileHandler.doRollover() creates new
files via open() which uses the process umask (0022 → 0644), not the
scoped umask from ensure_hermes_home().
Verified with a 13-subtest NixOS VM integration test covering setgid,
interactive writes, file ownership, migration, and gateway coexistence.
Refs: #6044
* Fix managed log file mode on initial open
Co-authored-by: Siddharth Balyan <alt-glitch@users.noreply.github.com>
* refactor: simplify managed file handler and merge activation loops
- Cache is_managed() result in handler __init__ instead of lazy-importing
on every _open()/_chmod_if_managed() call. Avoids repeated stat+env
checks on log rotation.
- Merge two for-loops over the same subdir list in activation script
into a single loop (mkdir + chown + chmod + find in one pass).
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Siddharth Balyan <alt-glitch@users.noreply.github.com>
The setup wizard's OpenClaw migration previously ran immediately with
aggressive defaults (overwrite=True, preset=full) after a single
'Would you like to import?' prompt. This caused several problems:
- Config values with different semantics (e.g. tool_call_execution:
'auto' in OpenClaw vs 'off' for Hermes yolo mode) were imported
without translation
- Gateway tokens were hijacked from OpenClaw without warning, taking
over Telegram/Slack/Discord channels
- Instruction files (.md) containing OpenClaw-specific setup/restart
procedures were copied, causing Hermes restart failures
Now the migration:
1. Asks 'Would you like to see what can be imported?' (softer framing)
2. Runs a dry-run preview showing everything that would be imported
3. Displays categorized warnings for high-impact items (gateway
takeover, config value differences, instruction files)
4. Asks for explicit confirmation with default=No
5. Executes with overwrite=False (preserves existing Hermes config)
Also extracts _load_openclaw_migration_module() for reuse and adds
_print_migration_preview() with keyword-based warning detection.
Tests updated for two-phase behavior + new test for decline-after-preview.
/pr <anything> silently resolved to /prompt via the shortest-match
tiebreaker in prefix expansion, permanently overwriting the system
prompt and persisting to config. The command's functionality (setting
agent.system_prompt) is available via config.yaml and /personality
covers the common use case.
Removes: CommandDef, dispatch branch, _handle_prompt_command handler,
docs references, and updates subcommand extraction test.
list_authenticated_providers() was using env var names from the external
models.dev registry to detect credentials. This registry has incorrect
mappings for 5 providers: minimax-cn, zai, opencode-zen, opencode-go,
and kilocode — causing them to not appear in /model even when the
correct API key is set.
Now checks PROVIDER_REGISTRY from auth.py first (our source of truth),
falling back to models.dev only for providers not in our registry.
Fixes#6620. Based on devorun's investigation in PR #6625.
The credential pool seeder (_seed_from_env) hardcoded the base URL
for API-key providers without running provider-specific auto-detection.
For kimi-coding, this caused sk-kimi- prefixed keys to be seeded with
the legacy api.moonshot.ai/v1 endpoint instead of api.kimi.com/coding/v1,
resulting in HTTP 401 on the first request.
Import and call _resolve_kimi_base_url for kimi-coding so the pool
uses the correct endpoint based on the key prefix, matching the
runtime credential resolver behavior.
Also fix a comment: sk-kimi- keys are issued by kimi.com/code,
not platform.kimi.ai.
Fixes#5561
Two bugs in the model fallback system:
1. Nous login leaves stale model in config (provider=nous, model=opus
from previous OpenRouter setup). Fixed by deferring the config.yaml
provider write until AFTER model selection completes, and passing the
selected model atomically via _update_config_for_provider's
default_model parameter. Previously, _update_config_for_provider was
called before model selection — if selection failed (free tier, no
models, exception), config stayed as nous+opus permanently.
2. Codex/stale providers in auxiliary fallback can't connect but block
the auto-detection chain. Added _is_connection_error() detection
(APIConnectionError, APITimeoutError, DNS failures, connection
refused) alongside the existing _is_payment_error() check in
call_llm(). When a provider endpoint is unreachable, the system now
falls back to the next available provider instead of crashing.
Adds a new CLI command that outputs a compact, plain-text dump of the
user's Hermes setup — version, OS, model/provider, API key presence,
toolsets, gateway status, platforms, cron jobs, skills, and any
non-default config overrides.
Designed for support context: no ANSI colors, ready to paste into
Discord/GitHub/Telegram. Secrets shown as 'set/not set' by default;
--show-keys reveals redacted prefixes (first/last 4 chars).
Files:
- hermes_cli/dump.py (new) — run_dump() implementation
- hermes_cli/main.py — parser + cmd_dump wiring
- hermes_cli/profiles.py — shell completions + subcommand set
The old setup wizard (pre-March 2026) wrote LLM_MODEL to ~/.hermes/.env
across 12 provider flows. Commit 9302690e removed the writes but never
cleaned up existing .env files, leaving a dead variable that:
- Nothing in the codebase reads (zero os.getenv calls)
- The docs incorrectly claimed the gateway still used as fallback
- Caused user confusion when debugging model resolution issues
Changes:
- config.py: Bump _config_version 12 → 13, add migration to clear
LLM_MODEL and OPENAI_MODEL from .env (both dead since March 2026)
- environment-variables.md: Remove LLM_MODEL row, fix HERMES_MODEL
description to stop referencing it
- providers.md: Update deprecation notice from 'deprecated' to 'removed'
Parse x-ratelimit-* headers from inference API responses (Nous Portal,
OpenRouter, OpenAI-compatible) and display them in the /usage command.
- New agent/rate_limit_tracker.py: parse 12 rate limit headers (RPM/RPH/
TPM/TPH limits, remaining, reset timers), format as progress bars (CLI)
or compact one-liner (gateway)
- Hook into streaming path in run_agent.py: stream.response.headers is
available on the OpenAI SDK Stream object before chunks are consumed
- CLI /usage: appends rate limit section with progress bars + warnings
when any bucket exceeds 80%
- Gateway /usage: appends compact rate limit summary
- 24 unit tests covering parsing, formatting, edge cases
Headers captured per response:
x-ratelimit-{limit,remaining,reset}-{requests,tokens}{,-1h}
Example CLI display:
Nous Rate Limits (captured just now):
Requests/min [░░░░░░░░░░░░░░░░░░░░] 0.1% 1/800 used (799 left, resets in 59s)
Tokens/hr [░░░░░░░░░░░░░░░░░░░░] 0.0% 49/336.0M (336.0M left, resets in 52m)
Updated the logic for determining the probed_url in the probe_api_models function to use the first tried URL instead of the last. This change ensures that the most relevant URL is returned when probing for models. Additionally, improved the output message in the _model_flow_custom function to provide clearer guidance based on the suggested_base_url.
