* feat: nix flake, uv2nix build, dev shell and home manager
* fixed nix run, updated docs for setup
* feat(nix): NixOS module with persistent container mode, managed guards, checks
- Replace homeModules.nix with nixosModules.nix (two deployment modes)
- Mode A (native): hardened systemd service with ProtectSystem=strict
- Mode B (container): persistent Ubuntu container with /nix/store bind-mount,
identity-hash-based recreation, GC root protection, symlink-based updates
- Add HERMES_MANAGED guards blocking CLI config mutation (config set, setup,
gateway install/uninstall) when running under NixOS module
- Add nix/checks.nix with build-time verification (binary, CLI, managed guard)
- Remove container.nix (no Nix-built OCI image; pulls ubuntu:24.04 at runtime)
- Simplify packages.nix (drop fetchFromGitHub submodules, PYTHONPATH wrappers)
- Rewrite docs/nixos-setup.md with full options reference, container
architecture, secrets management, and troubleshooting guide
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Update config.py
* feat(nix): add CI workflow and enhanced build checks
- GitHub Actions workflow for nix flake check + build on linux/macOS
- Entry point sync check to catch pyproject.toml drift
- Expanded managed-guard check to cover config edit
- Wrap hermes-acp binary in Nix package
- Fix Path type mismatch in is_managed()
* Update MCP server package name; bundled skills support
* fix reading .env. instead have container user a common mounted .env file
* feat(nix): container entrypoint with privilege drop and sudo provisioning
Container was running as non-root via --user, which broke apt/pip installs
and caused crashes when $HOME didn't exist. Replace --user with a Nix-built
entrypoint script that provisions the hermes user, sudo (NOPASSWD), and
/home/hermes inside the container on first boot, then drops privileges via
setpriv. Writable layer persists so setup only runs once.
Also expands MCP server options to support HTTP transport and sampling.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix group and user creation in container mode
* feat(nix): persistent /home/hermes and MESSAGING_CWD in container mode
Container mode now bind-mounts ${stateDir}/home to /home/hermes so the
agent's home directory survives container recreation. Previously it lived
in the writable layer and was lost on image/volume/options changes.
Also passes MESSAGING_CWD to the container so the agent finds its
workspace and documents, matching native mode behavior.
Other changes:
- Extract containerDataDir/containerHomeDir bindings (no more magic strings)
- Fix entrypoint chown to run unconditionally (volume mounts always exist)
- Add schema field to container identity hash for auto-recreation
- Add idempotency test (Scenario G) to config-roundtrip check
* docs: add Nix & NixOS setup guide to docs site
Add comprehensive Nix documentation to the Docusaurus site at
website/docs/getting-started/nix-setup.md, covering nix run/profile
install, NixOS module (native + container modes), declarative settings,
secrets management, MCP servers, managed mode, container architecture,
dev shell, flake checks, and full options reference.
- Register nix-setup in sidebar after installation page
- Add Nix callout tip to installation.md linking to new guide
- Add canonical version pointer in docs/nixos-setup.md
* docs: remove docs/nixos-setup.md, consolidate into website docs
Backfill missing details (restart/restartSec in full example,
gateway.pid, 0750 permissions, docker inspect commands) into
the canonical website/docs/getting-started/nix-setup.md and
delete the old standalone file.
* fix(nix): add compression.protect_last_n and target_ratio to config-keys.json
New keys were added to DEFAULT_CONFIG on main, causing the
config-drift check to fail in CI.
* fix(nix): skip checks on aarch64-darwin (onnxruntime wheel missing)
The full Python venv includes onnxruntime (via faster-whisper/STT)
which lacks a compatible uv2nix wheel on aarch64-darwin. Gate all
checks behind stdenv.hostPlatform.isLinux. The package and devShell
still evaluate on macOS.
* fix(nix): skip flake check and build on macOS CI
onnxruntime (transitive dep via faster-whisper) lacks a compatible
uv2nix wheel on aarch64-darwin. Run full checks and build on Linux
only; macOS CI verifies the flake evaluates without building.
* fix(nix): preserve container writable layer across nixos-rebuild
The container identity hash included the entrypoint's Nix store path,
which changes on every nixpkgs update (due to runtimeShell/stdenv
input-addressing). This caused false-positive identity mismatches,
triggering container recreation and losing the persistent writable layer.
- Use stable symlink (current-entrypoint) like current-package already does
- Remove entrypoint from identity hash (only image/volumes/options matter)
- Add GC root for entrypoint so nix-collect-garbage doesn't break it
- Remove global HERMES_HOME env var from addToSystemPackages (conflicted
with interactive CLI use, service already sets its own)
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Each subagent now gets its own IterationBudget instead of sharing the
parent's. The per-subagent cap is controlled by delegation.max_iterations
in config.yaml (default 50). Total iterations across parent + subagents
can exceed the parent's max_iterations, but the user retains control via
the config setting.
Previously, subagents shared the parent's budget, so three parallel
subagents configured for max_iterations=50 racing against a parent that
already used 60 of 90 would each only get ~10 iterations.
Inspired by PR #2928 (Bartok9) which identified the issue (#2873).
- threshold: 0.80 → 0.50 (compress at 50%, not 80%)
- target_ratio: 0.40 → 0.20, now relative to threshold not total context
(20% of 50% = 10% of context as tail budget)
- summary ceiling: 32K → 12K (Gemini can't output more than ~12K)
- Updated DEFAULT_CONFIG, config display, example config, and tests
PR #2554 made these configurable via config.yaml but didn't add them
to DEFAULT_CONFIG or the config display. Users couldn't discover the
new knobs without reading the source.
- threshold: 0.80 (compress at 80% context usage)
- target_ratio: 0.40 (preserve 40% of context as recent tail)
- protect_last_n: 20 (keep last 20 messages uncompressed)
- Updated hermes config display to show all three fields
Move OpenRouter to position 1 in the setup wizard's provider list
to match hermes model ordering. Update default selection index and
fix test expectations for the new ordering.
Setup order: OpenRouter → Nous Portal → Codex → Custom → ...
* feat: env var passthrough for skills and user config
Skills that declare required_environment_variables now have those vars
passed through to sandboxed execution environments (execute_code and
terminal). Previously, execute_code stripped all vars containing KEY,
TOKEN, SECRET, etc. and the terminal blocklist removed Hermes
infrastructure vars — both blocked skill-declared env vars.
Two passthrough sources:
1. Skill-scoped (automatic): when a skill is loaded via skill_view and
declares required_environment_variables, vars that are present in
the environment are registered in a session-scoped passthrough set.
2. Config-based (manual): terminal.env_passthrough in config.yaml lets
users explicitly allowlist vars for non-skill use cases.
Changes:
- New module: tools/env_passthrough.py — shared passthrough registry
- hermes_cli/config.py: add terminal.env_passthrough to DEFAULT_CONFIG
- tools/skills_tool.py: register available skill env vars on load
- tools/code_execution_tool.py: check passthrough before filtering
- tools/environments/local.py: check passthrough in _sanitize_subprocess_env
and _make_run_env
- 19 new tests covering all layers
* docs: add environment variable passthrough documentation
Document the env var passthrough feature across four docs pages:
- security.md: new 'Environment Variable Passthrough' section with
full explanation, comparison table, and security considerations
- code-execution.md: update security section, add passthrough subsection,
fix comparison table
- creating-skills.md: add tip about automatic sandbox passthrough
- skills.md: add note about passthrough after secure setup docs
Live-tested: launched interactive CLI, loaded a skill with
required_environment_variables, verified TEST_SKILL_SECRET_KEY was
accessible inside execute_code sandbox (value: passthrough-test-value-42).
Complete cleanup after dropping the mini-swe-agent submodule (PR #2804):
- Remove MSWEA_SILENT_STARTUP and MSWEA_GLOBAL_CONFIG_DIR env var
settings from cli.py, run_agent.py, hermes_cli/main.py, doctor.py
- Remove mini-swe-agent health check from hermes doctor
- Remove 'minisweagent' from logger suppression lists
- Remove litellm/typer/platformdirs from requirements.txt
- Remove mini-swe-agent install steps from install.ps1 (Windows)
- Remove mini-swe-agent install steps from website docs
- Update all stale comments/docstrings referencing mini-swe-agent
in terminal_tool.py, tools/__init__.py, code_execution_tool.py,
environments/README.md, environments/agent_loop.py
- Remove mini_swe_runner from pyproject.toml py-modules
(still exists as standalone script for RL training use)
- Shrink test_minisweagent_path.py to empty stub
The orphaned mini-swe-agent/ directory on disk needs manual removal:
rm -rf mini-swe-agent/
browser_vision and other browser commands had a hardcoded 30-second
subprocess timeout that couldn't be overridden. Users with slower
machines (local Chromium without GPU) would hit timeouts on screenshot
capture even when setting browser.command_timeout in config.yaml,
because nothing read that value.
Changes:
- Add browser.command_timeout to DEFAULT_CONFIG (default: 30s)
- Add _get_command_timeout() helper that reads config, falls back to 30s
- _run_browser_command() now defaults to config value instead of constant
- browser_vision screenshot no longer hardcodes timeout=30
- browser_navigate uses max(config_timeout, 60) as floor for navigation
Reported by Gamer1988.
Phase 4 of the /model command overhaul.
Both the CLI (cli.py) and gateway (gateway/run.py) /model handlers
had ~50 lines of duplicated core logic: parsing, provider detection,
credential resolution, and model validation. This extracts that
pipeline into hermes_cli/model_switch.py.
New module exports:
- ModelSwitchResult: dataclass with all fields both handlers need
- CustomAutoResult: dataclass for bare '/model custom' results
- switch_model(): core pipeline — parse → detect → resolve → validate
- switch_to_custom_provider(): resolve endpoint + auto-detect model
The shared functions are pure (no I/O side effects). Each caller
handles its own platform-specific concerns:
- CLI: sets self.model/provider/etc, calls save_config_value(), prints
- Gateway: writes config.yaml directly, sets env vars, returns markdown
Net result: -244 lines from handlers, +234 lines in shared module.
The handlers are now ~80 lines each (down from ~150+) and can't drift
apart on core logic.
Fixes#2492.
`generate_systemd_unit()` and `get_python_path()` hardcoded `venv`
as the virtualenv directory name. When the virtualenv is `.venv`
(which `setup-hermes.sh` and `.gitignore` both reference), the
generated systemd unit had incorrect VIRTUAL_ENV and PATH variables.
Introduce `_detect_venv_dir()` which:
1. Checks `sys.prefix` vs `sys.base_prefix` to detect the active venv
2. Falls back to probing `.venv` then `venv` under PROJECT_ROOT
Both `get_python_path()` and `generate_systemd_unit()` now use
this detection instead of hardcoded paths.
Co-authored-by: Hermes <hermes@nousresearch.ai>
* feat(model): persist base_url on /model switch, auto-detect for bare /model custom
Phase 2+3 of the /model command overhaul:
Phase 2 — Persist base_url on model switch:
- CLI: save model.base_url when switching to a non-OpenRouter endpoint;
clear it when switching away from custom to prevent stale URLs
leaking into the new provider's resolution
- Gateway: same logic using direct YAML write
Phase 3 — Better feedback and edge cases:
- Bare '/model custom' now auto-detects the model from the endpoint
using _auto_detect_local_model() and saves all three config values
(model, provider, base_url) atomically
- Shows endpoint URL in success messages when switching to/from
custom providers (both CLI and gateway)
- Clear error messages when no custom endpoint is configured
- Updated test assertions for the additional save_config_value call
Fixes#2562 (Phase 2+3)
* feat(model): support custom:name:model triple syntax for named custom providers
Phase 5 of the /model command overhaul.
Extends parse_model_input() to handle the triple syntax:
/model custom:local-server:qwen → provider='custom:local-server', model='qwen'
/model custom:my-model → provider='custom', model='my-model' (unchanged)
The 'custom:local-server' provider string is already supported by
_get_named_custom_provider() in runtime_provider.py, which matches
it against the custom_providers list in config.yaml. This just wires
the parsing so users can do it from the /model slash command.
Added 4 tests covering single, triple, whitespace, and empty model cases.
resolve_provider('custom') was silently returning 'openrouter', causing
users who set provider: custom in config.yaml to unknowingly route
through OpenRouter instead of their local/custom endpoint. The display
showed 'via openrouter' even when the user explicitly chose custom.
Changes:
- auth.py: Split the conditional so 'custom' returns 'custom' as-is
- runtime_provider.py: _resolve_named_custom_runtime now returns
provider='custom' instead of 'openrouter'
- runtime_provider.py: _resolve_openrouter_runtime returns
provider='custom' when that was explicitly requested
- Add 'no-key-required' placeholder for keyless local servers
- Update existing test + add 5 new tests covering the fix
Fixes#2562
* feat(config): support ${ENV_VAR} substitution in config.yaml
* fix: extend env var expansion to CLI and gateway config loaders
The original PR (#2680) only wired _expand_env_vars into load_config(),
which is used by 'hermes tools' and 'hermes setup'. The two primary
config paths were missed:
- load_cli_config() in cli.py (interactive CLI)
- Module-level _cfg in gateway/run.py (gateway — bridges api_keys to env vars)
Also:
- Remove redundant 'import re' (already imported at module level)
- Add missing blank lines between top-level functions (PEP 8)
- Add tests for load_cli_config() expansion
---------
Co-authored-by: teyrebaz33 <hakanerten02@hotmail.com>
Cherry-picked from PR #2576 by ereid7, plus read-side fix from 173a5c62.
Both fixes were originally landed in 173a5c62 but were inadvertently
reverted by commit 34be3f8b (a squash-merge that bundled unrelated
tools_config.py changes).
Save side (_save_platform_tools): exclude platform default toolset
names (hermes-cli, hermes-telegram) from preserved entries so they
don't silently re-enable everything.
Read side (_get_platform_tools): when the saved list contains explicit
configurable keys, use direct membership instead of subset inference.
The subset approach is broken when composite toolsets like hermes-cli
resolve to ALL tools.
Based on PR #2454 by @kshitijk4poor (reimplemented lean — 127 lines
vs original 715).
Type @ in the CLI input to get autocomplete suggestions for context
references:
- Static: @diff, @staged, @file:, @folder:, @git:, @url:
- @file:path and @folder:path browse the filesystem
- Bare @ or @partial shows matching files/folders from cwd
Dropped from original: .hermesignore walking, custom shell tokenizer,
PathToken dataclass, fuzzy matching, token estimates. Kept: all
user-facing functionality.
Reads auxiliary.vision.timeout from config.yaml (default: 30s) and
passes it to async_call_llm. Useful for slow local vision models
that need more than 30 seconds.
Setting is in config.yaml (not .env) since it's not a secret:
auxiliary:
vision:
timeout: 120
Based on PR #2306.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
* fix: respect DashScope v1 runtime mode for alibaba
Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.
Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)
This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.
Based on PR #2024 by @kshitijk4poor.
* docs(skill): add split, merge, search examples to ocr-and-documents skill
Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.
* fix: replace all production print() calls with logger in rl_training_tool
Replace all bare print() calls in production code paths with proper logger calls.
- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()
Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.
* fix(gateway): process /queue'd messages after agent completion
/queue stored messages in adapter._pending_messages but never consumed
them after normal (non-interrupted) completion. The consumption path
at line 5219 only checked pending messages when result.get('interrupted')
was True — since /queue deliberately doesn't interrupt, queued messages
were silently dropped.
Now checks adapter._pending_messages after both interrupted AND normal
completion. For queued messages (non-interrupt), the first response is
delivered before recursing to process the queued follow-up. Skips the
direct send when streaming already delivered the response.
Reported by GhostMode on Discord.
* chore: add minimax/minimax-m2.7 to OpenRouter and MiniMax model catalogs
---------
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
Reverts the sanitizer addition from PR #2466 (originally #2129).
We already have _empty_content_retries handling for reasoning-only
responses. The trailing strip risks silently eating valid messages
and is redundant with existing empty-content handling.
Add hermes mcp add/remove/list/test/configure CLI for managing MCP
server connections interactively. Discovery-first 'add' flow connects,
discovers tools, and lets users select which to enable via curses checklist.
Add OAuth 2.1 PKCE authentication for MCP HTTP servers (RFC 7636).
Supports browser-based and manual (headless) authorization, token
caching with 0600 permissions, automatic refresh. Zero external deps.
Add ${ENV_VAR} interpolation in MCP server config values, resolved
from os.environ + ~/.hermes/.env at load time.
Core OAuth module from PR #2021 by @imnotdev25. CLI and mcp_tool
wiring rewritten against current main. Closes#497, #690.
* docs: add Gemini OAuth provider implementation plan
Planning doc for a standard-route Gemini provider using Google OAuth
(Authorization Code + PKCE) with the OpenAI-compatible endpoint at
generativelanguage.googleapis.com. Covers OAuth flow, token lifecycle,
file list, and estimated scope (~700 lines).
Replaces the Node.js bridge approach from PR #2042.
* chore: update OpenRouter model list
- Add xiaomi/mimo-v2-pro
- Add nvidia/nemotron-3-super-120b-a12b (paid, higher rate limits)
- Remove openrouter/hunter-alpha and openrouter/healer-alpha (discontinued)
Closes#2453
The DEFAULT_CONFIG was hardcoding google/gemini-3-flash-preview as the
summary_model for context compression. This caused unexpected OpenRouter
charges for users who configured a different provider/model, because the
compression task would silently fall back to gemini via OpenRouter even
when the user's main model was on a different provider.
Fix: change summary_model default to empty string. When empty,
call_llm() resolves the model through the standard auto-detection chain
(auxiliary.compression config -> env vars -> main provider), which
correctly uses the user's configured provider and model.
Users who want a dedicated cheap model for compression can still
explicitly set compression.summary_model in their config.yaml.
Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.
Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)
This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.
Based on PR #2024 by @kshitijk4poor.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Cherry-picked from PR #2122 by @AtlasMeridia.
1. do_inspect bytes crash: bundle.files returns bytes for official
skills, .split() expected str. Added decode guard.
2. GitHub redirects: three httpx.get calls missing follow_redirects=True,
causing silent 301 failures on renamed orgs.
3. Skill discovery fallback: scan repo root directories when standard
paths (skills/, .agents/skills/, .claude/skills/) miss.
4. tap list KeyError: t['repo'] crashes for local taps. Use safe .get().
auth_type was "***" instead of "api_key" and api_key_env_vars was
("OPEN...",) instead of ("OPENCODE_GO_API_KEY",). This was introduced
in 35d948b6 when a secret redaction tool masked these values during
the Kilo Code provider commit. OpenCode Go provider was completely
broken as a result.
When 'hermes update' stashes local changes and the restore hits
conflicts, the previous behavior silently ran 'git reset --hard HEAD'
to clean up. This could surprise users who didn't realize their
working tree was being nuked.
Now the conflict handler:
- Lists the specific conflicted files
- Reassures the user their stash is preserved
- Asks before resetting (interactive mode)
- Auto-resets in non-interactive mode (prompt_user=False)
- If declined, leaves the working tree as-is with guidance
When `hermes update` stashes local changes and the subsequent
`git stash apply` fails or leaves unmerged files, the conflict markers
(<<<<<<< etc.) were left in the working tree, making Hermes unrunnable
until manually cleaned up.
Now the update command runs `git reset --hard HEAD` to restore a clean
working tree before exiting, and also detects unmerged files even when
git stash apply reports success.
Closes#2348
Only honor config.model.base_url for Anthropic resolution when
config.model.provider is actually "anthropic". This prevents a Codex
(or other provider) base_url from leaking into Anthropic runtime and
auxiliary client paths, which would send requests to the wrong
endpoint.
Closes#2384
Add has_usable_secret() to reject empty, short (<4 char), and common
placeholder API key values (changeme, your_api_key, placeholder, etc.)
throughout the auth/runtime resolution chain.
Update list_available_providers() to use provider-specific auth status
via get_auth_status() instead of resolve_runtime_provider(), preventing
cross-provider key fallback from making providers appear available when
they aren't actually configured.
Preserve keyless custom endpoint support by checking via base URL.
Cherry-picked from PR #2121 by aashizpoudel.
- Add resolve_config_path(): checks $HERMES_HOME/honcho.json first,
falls back to ~/.honcho/config.json. Enables isolated Hermes instances
with independent Honcho credentials and settings.
- Update CLI and doctor to use resolved path instead of hardcoded global.
- Change default session_strategy from per-session to per-directory.
Part 1 of #1962 by @erosika.
Cherry-picked from PR #2319 by @itenev.
When the gateway fails to connect (e.g. PrivilegedIntentsRequired,
missing token), systemd's default RestartSec=10 with no start rate
limit causes rapid reconnect storms flooding logs and triggering
platform-side rate limits.
- StartLimitIntervalSec=600 + StartLimitBurst=5 in [Unit] (max 5
restarts per 10 min)
- RestartSec: 10 → 30
- Applied to both templates in gateway.py and scripts/hermes-gateway
Same bug as opencode-zen/go — alibaba fell through to the OpenRouter
model list instead of using _setup_provider_model_selection() which
probes the provider's own /models endpoint.
All user-selectable providers now have correct model selection routing.
After selecting OpenCode Zen or Go as provider in hermes setup, the
model selection page showed OpenRouter models because these providers
weren't in the list that routes to _setup_provider_model_selection().
They fell through to the else branch which shows the OpenRouter catalog.
Users ended up with an OpenCode API key but an OpenRouter model name,
causing 'Provider resolver returned an empty API key' on first use.
Fix: add opencode-zen and opencode-go to the provider list that uses
_setup_provider_model_selection() for live /models detection.
Fresh installs without pull.rebase configured hit a git error when
running hermes update because git doesn't know how to reconcile
divergent branches. --ff-only is the right strategy: it works for the
normal case (local branch is behind remote) and fails cleanly if the
user somehow has local commits, rather than silently rebasing them.
The top-level 'toolsets' key in config.yaml was never read at runtime.
Tool selection uses platform_toolsets (per-platform) or the --toolsets
CLI flag. The key existed in load_cli_config() defaults and the example
config as 'toolsets: [all]', misleading users into thinking it
controlled tool availability.
- Remove from load_cli_config() hardcoded defaults
- Remove from hermes config show output
- Replace in cli-config.yaml.example with deprecation note pointing
to platform_toolsets and hermes tools
Two bugs in the save/load roundtrip for platform_toolsets:
1. _save_platform_tools preserved composite toolset entries (hermes-cli,
hermes-telegram, etc.) because they weren't in configurable_keys.
These composites include ALL _HERMES_CORE_TOOLS, so having hermes-cli
in the saved list alongside individual keys negated any disables —
the subset check always found the disabled toolset's tools via the
composite entry.
Fix: also filter out known TOOLSETS keys from preserved entries. Only
truly unknown entries (MCP server names, custom entries) are kept.
2. _get_platform_tools used reverse subset inference to determine which
configurable toolsets were enabled. This is inherently broken when
tools appear in multiple toolsets (e.g. HA tools in both the
homeassistant toolset and _HERMES_CORE_TOOLS).
Fix: when the saved list contains explicit configurable keys (meaning
the user has configured this platform), use direct membership instead
of subset inference. The fallback path still handles legacy configs
that only have a composite entry like hermes-cli.
- Changed the ANSI escape code for gold color in cli.py and banner.py to use true-color format (#FFD700) for better visual consistency.
- Enhanced the _on_tool_progress method in HermesCLI to update the TUI spinner with tool execution status, improving user feedback during operations.
These changes improve the visual representation and user experience in the command-line interface.
Co-authored-by: Test <test@test.com>
Adds /queue <prompt> (alias /q) that queues a message for the next
turn while the agent is busy, without interrupting the current run.
- CLI: /queue <prompt> puts it in _pending_input for the next turn
- Gateway: /queue <prompt> creates a pending MessageEvent on the
adapter, picked up after the current agent run finishes
- Enter still interrupts as usual (no behavior change)
- /queue with no prompt shows usage
- /queue when agent is idle tells user to just type normally
Co-authored-by: Test <test@test.com>
Replace the fragile hardcoded context length system with a multi-source
resolution chain that correctly identifies context windows per provider.
Key changes:
- New agent/models_dev.py: Fetches and caches the models.dev registry
(3800+ models across 100+ providers with per-provider context windows).
In-memory cache (1hr TTL) + disk cache for cold starts.
- Rewritten get_model_context_length() resolution chain:
0. Config override (model.context_length)
1. Custom providers per-model context_length
2. Persistent disk cache
3. Endpoint /models (local servers)
4. Anthropic /v1/models API (max_input_tokens, API-key only)
5. OpenRouter live API (existing, unchanged)
6. Nous suffix-match via OpenRouter (dot/dash normalization)
7. models.dev registry lookup (provider-aware)
8. Thin hardcoded defaults (broad family patterns)
9. 128K fallback (was 2M)
- Provider-aware context: same model now correctly resolves to different
context windows per provider (e.g. claude-opus-4.6: 1M on Anthropic,
128K on GitHub Copilot). Provider name flows through ContextCompressor.
- DEFAULT_CONTEXT_LENGTHS shrunk from 80+ entries to ~16 broad patterns.
models.dev replaces the per-model hardcoding.
- CONTEXT_PROBE_TIERS changed from [2M, 1M, 512K, 200K, 128K, 64K, 32K]
to [128K, 64K, 32K, 16K, 8K]. Unknown models no longer start at 2M.
- hermes model: prompts for context_length when configuring custom
endpoints. Supports shorthand (32k, 128K). Saved to custom_providers
per-model config.
- custom_providers schema extended with optional models dict for
per-model context_length (backward compatible).
- Nous Portal: suffix-matches bare IDs (claude-opus-4-6) against
OpenRouter's prefixed IDs (anthropic/claude-opus-4.6) with dot/dash
normalization. Handles all 15 current Nous models.
- Anthropic direct: queries /v1/models for max_input_tokens. Only works
with regular API keys (sk-ant-api*), not OAuth tokens. Falls through
to models.dev for OAuth users.
Tests: 5574 passed (18 new tests for models_dev + updated probe tiers)
Docs: Updated configuration.md context length section, AGENTS.md
Co-authored-by: Test <test@test.com>
Based on PR #1859 by @magi-morph (too stale to cherry-pick, reimplemented).
GPT-5.x models reject tool calls + reasoning_effort on
/v1/chat/completions with a 400 error directing to /v1/responses.
This auto-detects api.openai.com in the base URL and switches to
codex_responses mode in three places:
- AIAgent.__init__: upgrades chat_completions → codex_responses
- _try_activate_fallback(): same routing for fallback model
- runtime_provider.py: _detect_api_mode_for_url() for both custom
provider and openrouter runtime resolution paths
Also extracts _is_direct_openai_url() helper to replace the inline
check in _max_tokens_param().
Cherry-picked from PR #2120 by @unclebumpy.
- from_env() now reads HONCHO_BASE_URL and enables Honcho when base_url
is set, even without an API key
- from_global_config() reads baseUrl from config root with
HONCHO_BASE_URL env var as fallback
- get_honcho_client() guard relaxed to allow base_url without api_key
for no-auth local instances
- Added HONCHO_BASE_URL to OPTIONAL_ENV_VARS registry
Result: Setting HONCHO_BASE_URL=http://localhost:8000 in ~/.hermes/.env
now correctly routes the Honcho client to a local instance.
Show complete session IDs in 'hermes sessions list' instead of
truncating to 20 characters. Widens title column from 20→30 chars
and adjusts header widths accordingly.
Fixes#2068. Based on PR #2085 by @Nebula037 with a correction
to preserve the no-titles layout (the original PR accidentally
replaced the Preview/Src header with a duplicate Title/Preview header).
MiniMax's default base URL was /v1 which caused runtime_provider to
default to chat_completions mode (OpenAI-style Authorization: Bearer
header). MiniMax rejects this with a 401 because they require the
Anthropic-style x-api-key header.
Changes:
- auth.py: Change default inference_base_url for minimax and minimax-cn
from /v1 to /anthropic
- runtime_provider.py: Auto-correct stale /v1 URLs from existing .env
files to /anthropic, and always default minimax/minimax-cn providers
to anthropic_messages mode
- Update tests to reflect new defaults, add tests for stale URL
auto-correction and explicit api_mode override
Based on PR #2100 by @devorun. Fixes#2094.
Co-authored-by: Test <test@test.com>
Two issues with /model preventing proper provider switching:
1. Bare provider names not detected: typing '/model nous' treated 'nous'
as a model name instead of triggering a provider switch. Fixed by adding
step 0 in detect_provider_for_model() that checks if the input matches
a known provider name/alias (excluding 'custom'/'openrouter' which need
explicit model names) and returns that provider's default model.
2. Custom endpoint details hidden: /model (no args) showed '[custom]' with
just a usage hint but no endpoint URL or model name. Now displays the
configured base_url for custom providers in both CLI and gateway.
Note: config base_url and OPENAI_BASE_URL are intentionally NOT cleared on
provider switch — dedicated provider paths (nous, anthropic, codex) have
their own credential resolution that ignores these, and clearing them would
destroy the user's custom endpoint config, preventing switching back.
Co-authored-by: Test <test@test.com>
* fix: detect context length for custom model endpoints via fuzzy matching + config override
Custom model endpoints (non-OpenRouter, non-known-provider) were silently
falling back to 2M tokens when the model name didn't exactly match what the
endpoint's /v1/models reported. This happened because:
1. Endpoint metadata lookup used exact match only — model name mismatches
(e.g. 'qwen3.5:9b' vs 'Qwen3.5-9B-Q4_K_M.gguf') caused a miss
2. Single-model servers (common for local inference) required exact name
match even though only one model was loaded
3. No user escape hatch to manually set context length
Changes:
- Add fuzzy matching for endpoint model metadata: single-model servers
use the only available model regardless of name; multi-model servers
try substring matching in both directions
- Add model.context_length config override (highest priority) so users
can explicitly set their model's context length in config.yaml
- Log an informative message when falling back to 2M probe, telling
users about the config override option
- Thread config_context_length through ContextCompressor and AIAgent init
Tests: 6 new tests covering fuzzy match, single-model fallback, config
override (including zero/None edge cases).
* fix: auto-detect local model name and context length for local servers
Cherry-picked from PR #2043 by sudoingX.
- Auto-detect model name from local server's /v1/models when only one
model is loaded (no manual model name config needed)
- Add n_ctx_train and n_ctx to context length detection keys for llama.cpp
- Query llama.cpp /props endpoint for actual allocated context (not just
training context from GGUF metadata)
- Strip .gguf suffix from display in banner and status bar
- _auto_detect_local_model() in runtime_provider.py for CLI init
Co-authored-by: sudo <sudoingx@users.noreply.github.com>
* fix: revert accidental summary_target_tokens change + add docs for context_length config
- Revert summary_target_tokens from 2500 back to 500 (accidental change
during patching)
- Add 'Context Length Detection' section to Custom & Self-Hosted docs
explaining model.context_length config override
---------
Co-authored-by: Test <test@test.com>
Co-authored-by: sudo <sudoingx@users.noreply.github.com>
The gateway approval system previously intercepted bare 'yes'/'no' text
from the user's next message to approve/deny dangerous commands. This was
fragile and dangerous — if the agent asked a clarify question and the user
said 'yes' to answer it, the gateway would execute the pending dangerous
command instead. (Fixes#1888)
Changes:
- Remove bare text matching ('yes', 'y', 'approve', 'ok', etc.) from
_handle_message approval check
- Add /approve and /deny as gateway-only slash commands in the command
registry
- /approve supports scoping: /approve (one-time), /approve session,
/approve always (permanent)
- Add 5-minute timeout for stale approvals
- Gateway appends structured instructions to the agent response when a
dangerous command is pending, telling the user exactly how to respond
- 9 tests covering approve, deny, timeout, scoping, and verification
that bare 'yes' no longer triggers execution
Credit to @solo386 and @FlyByNight69420 for identifying and reporting
this security issue in PR #1971 and issue #1888.
Co-authored-by: Test <test@test.com>
After #1675 removed ANTHROPIC_BASE_URL env var support, the Anthropic
provider base URL was hardcoded to https://api.anthropic.com. Now reads
model.base_url from config.yaml as an override, falling back to the
default when not set. Also applies to the auxiliary client.
Cherry-picked from PR #1949 by @rivercrab26.
Co-authored-by: rivercrab26 <rivercrab26@users.noreply.github.com>
Three bugs prevented providers like MiniMax from using their
Anthropic-compatible endpoints (e.g. api.minimax.io/anthropic):
1. _VALID_API_MODES was missing 'anthropic_messages', so explicit
api_mode config was silently rejected and defaulted to
chat_completions.
2. API-key provider resolution hardcoded api_mode to 'chat_completions'
without checking model config or detecting Anthropic-compatible URLs.
3. run_agent.py auto-detection only recognized api.anthropic.com, not
third-party endpoints using the /anthropic URL convention.
Fixes:
- Add 'anthropic_messages' to _VALID_API_MODES
- API-key providers now check model config api_mode and auto-detect
URLs ending in /anthropic
- run_agent.py and fallback logic detect /anthropic URL convention
- 5 new tests covering all scenarios
Users can now either:
- Set MINIMAX_BASE_URL=https://api.minimax.io/anthropic (auto-detected)
- Set api_mode: anthropic_messages in model config (explicit)
- Use custom_providers with api_mode: anthropic_messages
Co-authored-by: Test <test@test.com>
When provider: custom is set in config.yaml with base_url and api_key,
those values are now used instead of falling back to OPENAI_BASE_URL and
OPENAI_API_KEY env vars. Also reads the 'api' field as an alternative to
'api_key' for config compatibility.
Cherry-picked from PR #1762 by crazywriter1.
Co-authored-by: crazywriter1 <53251494+crazywriter1@users.noreply.github.com>
The previous copilot_model_api_mode() checked the catalog's
supported_endpoints first and picked /chat/completions when a model
supported both endpoints. This is wrong — GPT-5+ models should use
the Responses API even when the catalog lists both.
Replicate opencode's shouldUseCopilotResponsesApi() logic:
- GPT-5+ models (gpt-5.4, gpt-5.3-codex, etc.) → Responses API
- gpt-5-mini → Chat Completions (explicit exception)
- Everything else (gpt-4o, claude, gemini, etc.) → Chat Completions
- Model ID pattern is the primary signal, catalog is secondary
The catalog fallback now only matters for non-GPT-5 models that might
exclusively support /v1/messages (e.g. Claude via Copilot).
Models are auto-detected from the live catalog at
api.githubcopilot.com/models — no hardcoded list required for
supported models, only a static fallback for when the API is
unreachable.
Adds /statusbar (alias /sb) to show/hide the bottom status bar that
displays model name, context usage, and session duration.
Uses ConditionalContainer so the bar takes zero space when hidden
rather than leaving a blank line.
- Add anthropic/claude-haiku-4.5
- Move gpt-5.4-pro and gpt-5.4-nano to bottom
- Fix minimax/minimax-m2.7 → minimax-m2.5 (m2.7 not on OpenRouter)
- Tag hunter-alpha and healer-alpha as free
- Place hunter/healer-alpha right below gpt-5.4-mini
Builds on PR #1879's Copilot integration with critical auth improvements
modeled after opencode's implementation:
- Add hermes_cli/copilot_auth.py with:
- OAuth device code flow (copilot_device_code_login) using the same
client_id (Ov23li8tweQw6odWQebz) as opencode and Copilot CLI
- Token type validation: reject classic PATs (ghp_*) with a clear
error message explaining supported token types
- Proper env var priority: COPILOT_GITHUB_TOKEN > GH_TOKEN > GITHUB_TOKEN
(matching Copilot CLI documentation)
- copilot_request_headers() with Openai-Intent, x-initiator, and
Copilot-Vision-Request headers (matching opencode)
- Update auth.py:
- PROVIDER_REGISTRY copilot entry uses correct env var order
- _resolve_api_key_provider_secret delegates to copilot_auth for
the copilot provider with proper token validation
- Update models.py:
- copilot_default_headers() now includes Openai-Intent and x-initiator
- Update main.py:
- _model_flow_copilot offers OAuth device code login when no token
is found, with manual token entry as fallback
- Shows supported vs unsupported token types
- 22 new tests covering token validation, env var priority, header
generation, and integration with existing auth infrastructure
- Strip '_tools' suffix from internal toolset identifiers in the banner
(e.g. 'web_tools' -> 'web', 'homeassistant_tools' -> 'homeassistant')
- Stop appending '_tools' to unavailable toolset names
- Replace 6 hardcoded hex colors (#B8860B, #FFBF00, #FFF8DC) in toolset
rows, overflow line, and MCP server rows with the skin variables
(dim, accent, text) already resolved at the top of the function
Inspired by PR #1871 by @kshitijk4poor.
Adds 4 tests.
* fix: banner skill count now respects disabled skills and platform filtering
The banner's get_available_skills() was doing a raw rglob scan of
~/.hermes/skills/ without checking:
- Whether skills are disabled (skills.disabled config)
- Whether skills match the current platform (platforms: frontmatter)
This caused the banner to show inflated skill counts (e.g. '100 skills'
when many are disabled) and list macOS-only skills on Linux.
Fix: delegate to _find_all_skills() from tools/skills_tool which already
handles both platform gating and disabled-skill filtering.
* fix: system prompt and slash commands now respect disabled skills
Two more places where disabled skills were still surfaced:
1. build_skills_system_prompt() in prompt_builder.py — disabled skills
appeared in the <available_skills> system prompt section, causing
the agent to suggest/load them despite being disabled.
2. scan_skill_commands() in skill_commands.py — disabled skills still
registered as /skill-name slash commands in CLI help and could be
invoked.
Both now load _get_disabled_skill_names() and filter accordingly.
* fix: skill_view blocks disabled skills
skill_view() checked platform compatibility but not disabled state,
so the agent could still load and read disabled skills directly.
Now returns a clear error when a disabled skill is requested, telling
the user to enable it via hermes skills or inspect the files manually.
---------
Co-authored-by: Test <test@test.com>
Recognize hermes_cli/main.py gateway command lines in gateway
process detection and PID validation so --replace reliably finds
existing gateway instances.
Adds a regression test covering script-style cmdline detection.
Closes#1830
Add _wait_for_gateway_exit() that polls get_running_pid() to confirm
the old gateway process has actually exited before starting a new one.
If the process doesn't exit within 5s, sends SIGKILL to the specific
PID. Uses the saved PID from gateway.pid (not launchd labels) so it
works correctly with multiple gateway instances under separate
HERMES_HOME directories.
Applied to both launchd_restart() and the manual restart path (replaces
the blind time.sleep(2)).
Inspired by PR #1881 by @AzothZephyr (race condition diagnosis).
Adds 4 tests.
MiniMax: Add M2.7 and M2.7-highspeed as new defaults across provider
model lists, auxiliary client, metadata, setup wizard, RL training tool,
fallback tests, and docs. Retain M2.5/M2.1 as alternatives.
OpenRouter: Add grok-4.20-beta, nemotron-3-super-120b-a12b:free,
trinity-large-preview:free, glm-5-turbo, and hunter-alpha to the
model catalog.
MiniMax changes based on PR #1882 by @octo-patch (applied manually
due to stale conflicts in refactored pricing module).
Add first-class GitHub Copilot and Copilot ACP provider support across
model selection, runtime provider resolution, CLI sessions, delegated
subagents, cron jobs, and the Telegram gateway.
This also normalizes Copilot model catalogs and API modes, introduces a
Copilot ACP OpenAI-compatible shim, and fixes service-mode auth by
resolving Homebrew-installed gh binaries under launchd.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The /browser command handler existed in cli.py but was never added to
COMMAND_REGISTRY after the centralized command registry refactor. This
meant:
- /browser didn't appear in /help
- No tab-completion or subcommand suggestions
- Dispatch used _base_word fallback instead of canonical resolution
Added CommandDef with connect/disconnect/status subcommands and
switched dispatch to use canonical instead of _base_word.
* feat: OpenAI-compatible API server platform adapter
Salvaged from PR #956, updated for current main.
Adds an HTTP API server as a gateway platform adapter that exposes
hermes-agent via the OpenAI Chat Completions and Responses APIs.
Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat,
AnythingLLM, NextChat, ChatBox, etc.) can connect by pointing at
http://localhost:8642/v1.
Endpoints:
- POST /v1/chat/completions — stateless Chat Completions API
- POST /v1/responses — stateful Responses API with chaining
- GET /v1/responses/{id} — retrieve stored response
- DELETE /v1/responses/{id} — delete stored response
- GET /v1/models — list hermes-agent as available model
- GET /health — health check
Features:
- Real SSE streaming via stream_delta_callback (uses main's streaming)
- In-memory LRU response store for Responses API conversation chaining
- Named conversations via 'conversation' parameter
- Bearer token auth (optional, via API_SERVER_KEY)
- CORS support for browser-based frontends
- System prompt layering (frontend system messages on top of core)
- Real token usage tracking in responses
Integration points:
- Platform.API_SERVER in gateway/config.py
- _create_adapter() branch in gateway/run.py
- API_SERVER_* env vars in hermes_cli/config.py
- Env var overrides in gateway/config.py _apply_env_overrides()
Changes vs original PR #956:
- Removed streaming infrastructure (already on main via stream_consumer.py)
- Removed Telegram reply_to_mode (separate feature, not included)
- Updated _resolve_model() -> _resolve_gateway_model()
- Updated stream_callback -> stream_delta_callback
- Updated connect()/disconnect() to use _mark_connected()/_mark_disconnected()
- Adapted to current Platform enum (includes MATTERMOST, MATRIX, DINGTALK)
Tests: 72 new tests, all passing
Docs: API server guide, Open WebUI integration guide, env var reference
* feat(whatsapp): make reply prefix configurable via config.yaml
Reworked from PR #1764 (ifrederico) to use config.yaml instead of .env.
The WhatsApp bridge prepends a header to every outgoing message.
This was hardcoded to '⚕ *Hermes Agent*'. Users can now customize
or disable it via config.yaml:
whatsapp:
reply_prefix: '' # disable header
reply_prefix: '🤖 *My Bot*\n───\n' # custom prefix
How it works:
- load_gateway_config() reads whatsapp.reply_prefix from config.yaml
and stores it in PlatformConfig.extra['reply_prefix']
- WhatsAppAdapter reads it from config.extra at init
- When spawning bridge.js, the adapter passes it as
WHATSAPP_REPLY_PREFIX in the subprocess environment
- bridge.js handles undefined (default), empty (no header),
or custom values with \\n escape support
- Self-chat echo suppression uses the configured prefix
Also fixes _config_version: was 9 but ENV_VARS_BY_VERSION had a
key 10 (TAVILY_API_KEY), so existing users at v9 would never be
prompted for Tavily. Bumped to 10 to close the gap. Added a
regression test to prevent this from happening again.
Credit: ifrederico (PR #1764) for the bridge.js implementation
and the config version gap discovery.
---------
Co-authored-by: Test <test@test.com>
The OpenCode Zen and OpenCode Go setup sections used prompt_text()
which is undefined. All other providers correctly use the local
prompt() function defined in setup.py. Fixes crash during
'hermes setup' when selecting either OpenCode provider.
- Add summary_base_url config option to compression block for custom
OpenAI-compatible endpoints (e.g. zai, DeepSeek, Ollama)
- Remove compression env var bridges from cli.py and gateway/run.py
(CONTEXT_COMPRESSION_* env vars no longer set from config)
- Switch run_agent.py to read compression config directly from
config.yaml instead of env vars
- Fix backwards-compat block in _resolve_task_provider_model to also
fire when auxiliary.compression.provider is 'auto' (DEFAULT_CONFIG
sets this, which was silently preventing the compression section's
summary_* keys from being read)
- Add test for summary_base_url config-to-client flow
- Update docs to show compression as config.yaml-only
Closes#1591
Based on PR #1702 by @uzaylisak
Four small fixes:
1. model_tools.py: Tool import failures logged at WARNING instead of
DEBUG. If a tool module fails to import (syntax error, missing dep),
the user now sees a warning instead of the tool silently vanishing.
2. hermes_cli/config.py: Remove duplicate 'import sys' (lines 19, 21).
3. agent/model_metadata.py: Remove 6 duplicate entries in
DEFAULT_CONTEXT_LENGTHS dict. Python keeps the last value, so no
functional change, but removes maintenance confusion.
4. hermes_state.py: Add missing self._lock to the LIKE query in
resolve_session_id(). The exact-match path used get_session()
(which locks internally), but the prefix fallback queried _conn
without the lock.
Salvage of PR #1707 by @kshitijk4poor (cherry-picked with authorship preserved).
Adds Tavily as a third web backend alongside Firecrawl and Parallel, using the Tavily REST API via httpx.
- Backend selection via hermes tools → saved as web.backend in config.yaml
- All three tools supported: search, extract, crawl
- TAVILY_API_KEY in config registry, doctor, status, setup wizard
- 15 new Tavily tests + 9 backend selection tests + 5 config tests
- Backward compatible
Closes#1707
* feat(web): add Parallel as alternative web search/extract backend
Adds Parallel (parallel.ai) as a drop-in alternative to Firecrawl for
web_search and web_extract tools using the official parallel-web SDK.
- Backend selection via WEB_SEARCH_BACKEND env var (auto/parallel/firecrawl)
- Auto mode prefers Firecrawl when both keys present; Parallel when sole backend
- web_crawl remains Firecrawl-only with clear error when unavailable
- Lazy SDK imports, interrupt support, singleton clients
- 16 new unit tests for backend selection and client config
Co-authored-by: s-jag <s-jag@users.noreply.github.com>
* fix: add PARALLEL_API_KEY to config registry and fix web_crawl policy tests
Follow-up for Parallel backend integration:
- Add PARALLEL_API_KEY to OPTIONAL_ENV_VARS (hermes doctor, env blocklist)
- Add to set_config_value api_keys list (hermes config set)
- Add to doctor keys display
- Fix 2 web_crawl policy tests that didn't set FIRECRAWL_API_KEY
(needed now that web_crawl has a Firecrawl availability guard)
* refactor: explicit backend selection via hermes tools, not auto-detect
Replace the auto-detect backend selection with explicit user choice:
- hermes tools saves WEB_SEARCH_BACKEND to .env when user picks a provider
- _get_backend() reads the explicit choice first
- Fallback only for manual/legacy config (uses whichever key is present)
- _is_provider_active() shows [active] for the selected web backend
- Updated tests, docs, and .env.example to remove 'auto' mode language
* refactor: use config.yaml for web backend, not env var
Match the TTS/browser pattern — web.backend is stored in config.yaml
(set by hermes tools), not as a WEB_SEARCH_BACKEND env var.
- _load_web_config() reads web: section from config.yaml
- _get_backend() reads web.backend from config, falls back to key detection
- _configure_provider() saves to config dict (saved to config.yaml)
- _is_provider_active() reads from config dict
- Removed WEB_SEARCH_BACKEND from .env.example, set_config_value, docs
- Updated all tests to mock _load_web_config instead of env vars
---------
Co-authored-by: s-jag <s-jag@users.noreply.github.com>
The function uses subprocess.run() and subprocess.CalledProcessError but
never imported the module. This caused a NameError crash during setup
when users selected NeuTTS as their TTS provider.
Fixes#1698
Add the ability to selectively enable/disable individual MCP server
tools through the interactive 'hermes tools' TUI.
Changes:
- tools/mcp_tool.py: Add probe_mcp_server_tools() — lightweight function
that temporarily connects to configured MCP servers, discovers their
tools (names + descriptions), and disconnects. No registry side effects.
- hermes_cli/tools_config.py: Add 'Configure MCP tools' option to the
interactive menu. When selected:
1. Probes all enabled MCP servers for their available tools
2. Shows a per-server curses checklist with tool descriptions
3. Pre-selects tools based on existing include/exclude config
4. Writes changes back as tools.exclude entries in config.yaml
5. Reports which servers failed to connect
The existing CLI commands (hermes tools enable/disable server:tool)
continue to work unchanged. This adds the interactive TUI counterpart
so users can browse and toggle MCP tools visually.
Tests: 22 new tests covering probe function edge cases and interactive
flow (pre-selection, exclude/include modes, description truncation,
multi-server handling, error paths).
fetch_nous_models() uses keyword-only parameters (the * separator in
its signature), but models.py called it with positional args and in
the wrong order (api_key first, base_url second). This always raised
TypeError, silently caught by except Exception: pass.
Result: Nous provider model list was completely broken — /model
autocomplete and provider_model_ids('nous') always fell back to the
static model catalog instead of fetching live models.
Adds both platforms to the config system so hermes setup, hermes doctor,
and hermes config properly discover and manage their env vars.
- MATTERMOST_URL, MATTERMOST_TOKEN, MATTERMOST_ALLOWED_USERS
- MATRIX_HOMESERVER, MATRIX_ACCESS_TOKEN, MATRIX_USER_ID, MATRIX_ALLOWED_USERS
- Extra env keys for .env sanitizer: MATTERMOST_HOME_CHANNEL,
MATTERMOST_REPLY_MODE, MATRIX_PASSWORD, MATRIX_ENCRYPTION, MATRIX_HOME_ROOM
Add support for Mattermost (self-hosted Slack alternative) and Matrix
(federated messaging protocol) as messaging platforms.
Mattermost adapter:
- REST API v4 client for posts, files, channels, typing indicators
- WebSocket listener for real-time 'posted' events with reconnect backoff
- Thread support via root_id
- File upload/download with auth-aware caching
- Dedup cache (5min TTL, 2000 entries)
- Full self-hosted instance support
Matrix adapter:
- matrix-nio AsyncClient with sync loop
- Dual auth: access token or user_id + password
- Optional E2EE via matrix-nio[e2e] (libolm)
- Thread support via m.thread (MSC3440)
- Reply support via m.in_reply_to with fallback stripping
- Media upload/download via mxc:// URLs (authenticated v1.11+ endpoint)
- Auto-join on room invite
- DM detection via m.direct account data with sync fallback
- Markdown to HTML conversion
Fixes applied over original PR #1225 by @cyb0rgk1tty:
- Mattermost: add timeout to file downloads, wrap API helpers in
try/except for network errors, download incoming files immediately
with auth headers instead of passing auth-required URLs
- Matrix: use authenticated media endpoint (/_matrix/client/v1/media/),
robust m.direct cache with sync fallback, prefer aiohttp over httpx
Install Matrix support: pip install 'hermes-agent[matrix]'
Mattermost needs no extra deps (uses aiohttp).
Salvaged from PR #1225 by @cyb0rgk1tty with fixes.
* feat(gateway): add DingTalk platform adapter
Add DingTalk as a messaging platform using the dingtalk-stream SDK
for real-time message reception via Stream Mode (no webhook needed).
Replies are sent via session webhook using markdown format.
Features:
- Stream Mode connection (long-lived WebSocket, no public URL needed)
- Text and rich text message support
- DM and group chat support
- Message deduplication with 5-minute window
- Auto-reconnection with exponential backoff
- Session webhook caching for reply routing
Configuration:
export DINGTALK_CLIENT_ID=your-app-key
export DINGTALK_CLIENT_SECRET=your-app-secret
# or in config.yaml:
platforms:
dingtalk:
enabled: true
extra:
client_id: your-app-key
client_secret: your-app-secret
Files:
- gateway/platforms/dingtalk.py (340 lines) — adapter implementation
- gateway/config.py — add DINGTALK to Platform enum
- gateway/run.py — add DingTalk to _create_adapter
- hermes_cli/config.py — add env vars to _EXTRA_ENV_KEYS
- hermes_cli/tools_config.py — add dingtalk to PLATFORMS
- tests/gateway/test_dingtalk.py — 21 tests
* docs: add Alibaba Cloud and DingTalk to setup wizard and docs
Wire Alibaba Cloud (DashScope) into hermes setup and hermes model
provider selection flows. Add DingTalk env vars to documentation.
Changes:
- setup.py: Add Alibaba Cloud as provider choice (index 11) with
DASHSCOPE_API_KEY prompt and model studio link
- main.py: Add alibaba to provider_labels, providers list, and
model flow dispatch
- environment-variables.md: Add DASHSCOPE_API_KEY, DINGTALK_CLIENT_ID,
DINGTALK_CLIENT_SECRET, and alibaba to HERMES_INFERENCE_PROVIDER
- Default enabled: false (zero overhead when not configured)
- Fast path: cached disabled state skips all work immediately
- TTL cache (30s) for parsed policy — avoids re-reading config.yaml
on every URL check
- Missing shared files warn + skip instead of crashing all web tools
- Lazy yaml import — missing PyYAML doesn't break browser toolset
- Guarded browser_tool import — fail-open lambda fallback
- check_website_access never raises for default path (fail-open with
warning log); only raises with explicit config_path (test mode)
- Simplified enforcement code in web_tools/browser_tool — no more
try/except wrappers since errors are handled internally
Add DingTalk as a messaging platform using the dingtalk-stream SDK
for real-time message reception via Stream Mode (no webhook needed).
Replies are sent via session webhook using markdown format.
Features:
- Stream Mode connection (long-lived WebSocket, no public URL needed)
- Text and rich text message support
- DM and group chat support
- Message deduplication with 5-minute window
- Auto-reconnection with exponential backoff
- Session webhook caching for reply routing
Configuration:
export DINGTALK_CLIENT_ID=your-app-key
export DINGTALK_CLIENT_SECRET=your-app-secret
# or in config.yaml:
platforms:
dingtalk:
enabled: true
extra:
client_id: your-app-key
client_secret: your-app-secret
Files:
- gateway/platforms/dingtalk.py (340 lines) — adapter implementation
- gateway/config.py — add DINGTALK to Platform enum
- gateway/run.py — add DingTalk to _create_adapter
- hermes_cli/config.py — add env vars to _EXTRA_ENV_KEYS
- hermes_cli/tools_config.py — add dingtalk to PLATFORMS
- tests/gateway/test_dingtalk.py — 21 tests
ANTHROPIC_BASE_URL collides with Claude Code and other Anthropic
tooling. Remove it from the Anthropic provider — base URL overrides
should go through config.yaml model.base_url instead.
The Alibaba/DashScope provider has its own dedicated base URL and
API key env vars which don't collide with anything.
Add display.theme_mode setting (auto/light/dark) that makes the CLI
readable on light terminal backgrounds.
- Auto-detect terminal background via COLORFGBG, OSC 11, and macOS
appearance (fallback chain in hermes_cli/colors.py)
- Add colors_light overrides to all 7 built-in skins with dark/readable
colors for light backgrounds
- SkinConfig.get_color() now returns light overrides when theme is light
- get_prompt_toolkit_style_overrides() uses light bg colors for
completion menus in light mode
- init_skin_from_config() reads display.theme_mode from config
- 7 new tests covering theme mode resolution, detection fallbacks,
and light-mode skin overrides
Salvaged from PR #1187 by @peteromallet. Core design preserved;
adapted to current main (kept all existing helpers, tool_emojis,
convenience functions that were added after the PR branched).
Co-authored-by: Peter O'Mallet <peteromallet@users.noreply.github.com>
Add Alibaba Cloud (DashScope) as a first-class inference provider
using the Anthropic-compatible endpoint. This gives access to Qwen
models (qwen3.5-plus, qwen3-max, qwen3-coder-plus, etc.) through
the same api_mode as native Anthropic.
Also add ANTHROPIC_BASE_URL env var support so users can point the
Anthropic provider at any compatible endpoint.
Changes:
- auth.py: Add alibaba ProviderConfig + ANTHROPIC_BASE_URL on anthropic
- models.py: Add alibaba to catalog, labels, aliases (dashscope/aliyun/qwen), provider order
- runtime_provider.py: Add alibaba resolution (anthropic_messages api_mode) + ANTHROPIC_BASE_URL
- model_metadata.py: Add Qwen model context lengths (128K)
- config.py: Add DASHSCOPE_API_KEY, DASHSCOPE_BASE_URL, ANTHROPIC_BASE_URL env vars
Usage:
hermes --provider alibaba --model qwen3.5-plus
# or via aliases:
hermes --provider qwen --model qwen3-max
Add Kilo Gateway (kilo.ai) as an API-key provider with OpenAI-compatible
endpoint at https://api.kilo.ai/api/gateway. Supports 500+ models from
Anthropic, OpenAI, Google, xAI, Mistral, MiniMax via a single API key.
- Register kilocode in PROVIDER_REGISTRY with aliases (kilo, kilo-code,
kilo-gateway) and KILOCODE_API_KEY / KILOCODE_BASE_URL env vars
- Add to model catalog, CLI provider menu, setup wizard, doctor checks
- Add google/gemini-3-flash-preview as default aux model
- 12 new tests covering registration, aliases, credential resolution,
runtime config
- Documentation updates (env vars, config, fallback providers)
- Fix setup test index shift from provider insertion
Inspired by PR #1473 by @amanning3390.
Co-authored-by: amanning3390 <amanning3390@users.noreply.github.com>
Docker terminal sessions are secret-dark by default. This adds
terminal.docker_forward_env as an explicit allowlist for env vars
that may be forwarded into Docker containers.
Values resolve from the current shell first, then fall back to
~/.hermes/.env. Only variables the user explicitly lists are
forwarded — nothing is auto-exposed.
Cherry-picked from PR #1449 by @teknium1, conflict-resolved onto
current main.
Fixes#1436
Supersedes #1439
Remove the optional skill (redundant now that NeuTTS is a built-in TTS
provider). Replace neutts_cli dependency with a standalone synthesis
helper (tools/neutts_synth.py) that calls the neutts Python API directly
in a subprocess.
Add TTS provider selection to hermes setup:
- 'hermes setup' now prompts for TTS provider after model selection
- 'hermes setup tts' available as standalone section
- Selecting NeuTTS checks for deps and offers to install:
espeak-ng (system) + neutts[all] (pip)
- ElevenLabs/OpenAI selections prompt for API keys
- Tool status display shows NeuTTS install state
Changes:
- Remove optional-skills/mlops/models/neutts/ (skill + CLI scaffold)
- Add tools/neutts_synth.py (standalone synthesis subprocess helper)
- Move jo.wav/jo.txt to tools/neutts_samples/ (bundled default voice)
- Refactor _generate_neutts() — uses neutts API via subprocess, no
neutts_cli dependency, config-driven ref_audio/ref_text/model/device
- Add TTS setup to hermes_cli/setup.py (SETUP_SECTIONS, tool status)
- Update config.py defaults (ref_audio, ref_text, model, device)
* fix: prevent infinite 400 failure loop on context overflow (#1630)
When a gateway session exceeds the model's context window, Anthropic may
return a generic 400 invalid_request_error with just 'Error' as the
message. This bypassed the phrase-based context-length detection,
causing the agent to treat it as a non-retryable client error. Worse,
the failed user message was still persisted to the transcript, making
the session even larger on each attempt — creating an infinite loop.
Three-layer fix:
1. run_agent.py — Fallback heuristic: when a 400 error has a very short
generic message AND the session is large (>40% of context or >80
messages), treat it as a probable context overflow and trigger
compression instead of aborting.
2. run_agent.py + gateway/run.py — Don't persist failed messages:
when the agent returns failed=True before generating any response,
skip writing the user's message to the transcript/DB. This prevents
the session from growing on each failure.
3. gateway/run.py — Smarter error messages: detect context-overflow
failures and suggest /compact or /reset specifically, instead of a
generic 'try again' that will fail identically.
* fix(skills): detect prompt injection patterns and block cache file reads
Adds two security layers to prevent prompt injection via skills hub
cache files (#1558):
1. read_file: blocks direct reads of ~/.hermes/skills/.hub/ directory
(index-cache, catalog files). The 3.5MB clawhub_catalog_v1.json
was the original injection vector — untrusted skill descriptions
in the catalog contained adversarial text that the model executed.
2. skill_view: warns when skills are loaded from outside the trusted
~/.hermes/skills/ directory, and detects common injection patterns
in skill content ("ignore previous instructions", "<system>", etc.).
Cherry-picked from PR #1562 by ygd58.
* fix(tools): chunk long messages in send_message_tool before dispatch (#1552)
Long messages sent via send_message tool or cron delivery silently
failed when exceeding platform limits. Gateway adapters handle this
via truncate_message(), but the standalone senders in send_message_tool
bypassed that entirely.
- Apply truncate_message() chunking in _send_to_platform() before
dispatching to individual platform senders
- Remove naive message[i:i+2000] character split in _send_discord()
in favor of centralized smart splitting
- Attach media files to last chunk only for Telegram
- Add regression tests for chunking and media placement
Cherry-picked from PR #1557 by llbn.
* fix(approval): show full command in dangerous command approval (#1553)
Previously the command was truncated to 80 chars in CLI (with a
[v]iew full option), 500 chars in Discord embeds, and missing entirely
in Telegram/Slack approval messages. Now the full command is always
displayed everywhere:
- CLI: removed 80-char truncation and [v]iew full menu option
- Gateway (TG/Slack): approval_required message includes full command
in a code block
- Discord: embed shows full command up to 4096-char limit
- Windows: skip SIGALRM-based test timeout (Unix-only)
- Updated tests: replaced view-flow tests with direct approval tests
Cherry-picked from PR #1566 by crazywriter1.
* fix(cli): flush stdout during agent loop to prevent macOS display freeze (#1624)
The interrupt polling loop in chat() waited on the queue without
invalidating the prompt_toolkit renderer. On macOS, the StdoutProxy
buffer only flushed on input events, causing the CLI to appear frozen
during tool execution until the user typed a key.
Fix: call _invalidate() on each queue timeout (every ~100ms, throttled
to 150ms) to force the renderer to flush buffered agent output.
* fix(claw): warn when API keys are skipped during OpenClaw migration (#1580)
When --migrate-secrets is not passed (the default), API keys like
OPENROUTER_API_KEY are silently skipped with no warning. Users don't
realize their keys weren't migrated until the agent fails to connect.
Add a post-migration warning with actionable instructions: either
re-run with --migrate-secrets or add the key manually via
hermes config set.
Cherry-picked from PR #1593 by ygd58.
* fix(security): block sandbox backend creds from subprocess env (#1264)
Add Modal and Daytona sandbox credentials to the subprocess env
blocklist so they're not leaked to agent terminal sessions via
printenv/env.
Cherry-picked from PR #1571 by ygd58.
* fix(gateway): cap interrupt recursion depth to prevent resource exhaustion (#816)
When a user sends multiple messages while the agent keeps failing,
_run_agent() calls itself recursively with no depth limit. This can
exhaust stack/memory if the agent is in a failure loop.
Add _MAX_INTERRUPT_DEPTH = 3. When exceeded, the pending message is
logged and the current result is returned instead of recursing deeper.
The log handler duplication bug described in #816 was already fixed
separately (AIAgent.__init__ deduplicates handlers).
* fix(gateway): /model shows active fallback model instead of config default (#1615)
When the agent falls back to a different model (e.g. due to rate
limiting), /model still showed the config default. Now tracks the
effective model/provider after each agent run and displays it.
Cleared when the primary model succeeds again or the user explicitly
switches via /model.
Cherry-picked from PR #1616 by MaxKerkula. Added hasattr guard for
test compatibility.
* feat(gateway): inject reply-to message context for out-of-session replies (#1594)
When a user replies to a Telegram message, check if the quoted text
exists in the current session transcript. If missing (from cron jobs,
background tasks, or old sessions), prepend [Replying to: "..."] to
the message so the agent has context about what's being referenced.
- Add reply_to_text field to MessageEvent (base.py)
- Populate from Telegram's reply_to_message (text or caption)
- Inject context in _handle_message when not found in history
Based on PR #1596 by anpicasso (cherry-picked reply-to feature only,
excluded unrelated /server command and background delegation changes).
* fix: recognize Claude Code OAuth credentials in startup gate (#1455)
The _has_any_provider_configured() startup check didn't look for
Claude Code OAuth credentials (~/.claude/.credentials.json). Users
with only Claude Code auth got the setup wizard instead of starting.
Cherry-picked from PR #1455 by kshitijk4poor.
---------
Co-authored-by: buray <ygd58@users.noreply.github.com>
Co-authored-by: lbn <llbn@users.noreply.github.com>
Co-authored-by: crazywriter1 <53251494+crazywriter1@users.noreply.github.com>
Co-authored-by: Max K <MaxKerkula@users.noreply.github.com>
Co-authored-by: Angello Picasso <angello.picasso@devsu.com>
Co-authored-by: kshitij <kshitijk4poor@users.noreply.github.com>
* fix(security): harden terminal safety and sandbox file writes
Two security improvements:
1. Dangerous command detection: expand shell -c pattern to catch
combined flags (bash -lc, bash -ic, ksh -c) that were previously
undetected. Pattern changed from matching only 'bash -c' to
matching any shell invocation with -c anywhere in the flags.
2. File write sandboxing: add HERMES_WRITE_SAFE_ROOT env var that
constrains all write_file/patch operations to a configured directory
tree. Opt-in — when unset, behavior is unchanged. Useful for
gateway/messaging deployments that should only touch a workspace.
Based on PR #1085 by ismoilh.
* fix: correct "POSIDEON" typo to "POSEIDON" in banner ASCII art
The poseidon skin's banner_logo had the E and I letters swapped,
spelling "POSIDEON-AGENT" instead of "POSEIDON-AGENT".
---------
Co-authored-by: ismoilh <ismoilh@users.noreply.github.com>
Co-authored-by: unmodeled-tyler <unmodeled.tyler@proton.me>
* feat(skills): add bundled neutts optional skill
Add NeuTTS optional skill with CLI scaffold, bootstrap helper, and
sample voice profile. Also fixes skills_hub.py to handle binary
assets (WAV files) during skill installation.
Changes:
- optional-skills/mlops/models/neutts/ — skill + CLI scaffold
- tools/skills_hub.py — binary asset support (read_bytes, write_bytes)
- tests/tools/test_skills_hub.py — regression tests for binary assets
* feat(tts): add NeuTTS as local TTS provider backend
Add NeuTTS as a fourth TTS provider option alongside Edge, ElevenLabs,
and OpenAI. NeuTTS runs fully on-device via neutts_cli — no API key
needed.
Provider behavior:
- Explicit: set tts.provider to 'neutts' in config.yaml
- Fallback: when Edge TTS is unavailable and neutts_cli is installed,
automatically falls back to NeuTTS instead of failing
- check_tts_requirements() now includes NeuTTS in availability checks
NeuTTS outputs WAV natively. For Telegram voice bubbles, ffmpeg
converts to Opus (same pattern as Edge TTS).
Changes:
- tools/tts_tool.py — _generate_neutts(), _check_neutts_available(),
provider dispatch, fallback logic, Opus conversion
- hermes_cli/config.py — tts.neutts config defaults
---------
Co-authored-by: unmodeled-tyler <unmodeled.tyler@proton.me>
Remove HERMES_API_MODE env var. api_mode is now configured where the
endpoint is defined:
- model.api_mode in config.yaml (for the active model config)
- custom_providers[].api_mode (for named custom providers)
Replace _get_configured_api_mode() with _parse_api_mode() which just
validates a value against the whitelist without reading env vars.
Both paths (model config and named custom providers) now read api_mode
from their respective config entries rather than a global override.
* fix: prevent infinite 400 failure loop on context overflow (#1630)
When a gateway session exceeds the model's context window, Anthropic may
return a generic 400 invalid_request_error with just 'Error' as the
message. This bypassed the phrase-based context-length detection,
causing the agent to treat it as a non-retryable client error. Worse,
the failed user message was still persisted to the transcript, making
the session even larger on each attempt — creating an infinite loop.
Three-layer fix:
1. run_agent.py — Fallback heuristic: when a 400 error has a very short
generic message AND the session is large (>40% of context or >80
messages), treat it as a probable context overflow and trigger
compression instead of aborting.
2. run_agent.py + gateway/run.py — Don't persist failed messages:
when the agent returns failed=True before generating any response,
skip writing the user's message to the transcript/DB. This prevents
the session from growing on each failure.
3. gateway/run.py — Smarter error messages: detect context-overflow
failures and suggest /compact or /reset specifically, instead of a
generic 'try again' that will fail identically.
* fix(skills): detect prompt injection patterns and block cache file reads
Adds two security layers to prevent prompt injection via skills hub
cache files (#1558):
1. read_file: blocks direct reads of ~/.hermes/skills/.hub/ directory
(index-cache, catalog files). The 3.5MB clawhub_catalog_v1.json
was the original injection vector — untrusted skill descriptions
in the catalog contained adversarial text that the model executed.
2. skill_view: warns when skills are loaded from outside the trusted
~/.hermes/skills/ directory, and detects common injection patterns
in skill content ("ignore previous instructions", "<system>", etc.).
Cherry-picked from PR #1562 by ygd58.
* fix(tools): chunk long messages in send_message_tool before dispatch (#1552)
Long messages sent via send_message tool or cron delivery silently
failed when exceeding platform limits. Gateway adapters handle this
via truncate_message(), but the standalone senders in send_message_tool
bypassed that entirely.
- Apply truncate_message() chunking in _send_to_platform() before
dispatching to individual platform senders
- Remove naive message[i:i+2000] character split in _send_discord()
in favor of centralized smart splitting
- Attach media files to last chunk only for Telegram
- Add regression tests for chunking and media placement
Cherry-picked from PR #1557 by llbn.
* fix(approval): show full command in dangerous command approval (#1553)
Previously the command was truncated to 80 chars in CLI (with a
[v]iew full option), 500 chars in Discord embeds, and missing entirely
in Telegram/Slack approval messages. Now the full command is always
displayed everywhere:
- CLI: removed 80-char truncation and [v]iew full menu option
- Gateway (TG/Slack): approval_required message includes full command
in a code block
- Discord: embed shows full command up to 4096-char limit
- Windows: skip SIGALRM-based test timeout (Unix-only)
- Updated tests: replaced view-flow tests with direct approval tests
Cherry-picked from PR #1566 by crazywriter1.
* fix(cli): flush stdout during agent loop to prevent macOS display freeze (#1624)
The interrupt polling loop in chat() waited on the queue without
invalidating the prompt_toolkit renderer. On macOS, the StdoutProxy
buffer only flushed on input events, causing the CLI to appear frozen
during tool execution until the user typed a key.
Fix: call _invalidate() on each queue timeout (every ~100ms, throttled
to 150ms) to force the renderer to flush buffered agent output.
* fix(claw): warn when API keys are skipped during OpenClaw migration (#1580)
When --migrate-secrets is not passed (the default), API keys like
OPENROUTER_API_KEY are silently skipped with no warning. Users don't
realize their keys weren't migrated until the agent fails to connect.
Add a post-migration warning with actionable instructions: either
re-run with --migrate-secrets or add the key manually via
hermes config set.
Cherry-picked from PR #1593 by ygd58.
---------
Co-authored-by: buray <ygd58@users.noreply.github.com>
Co-authored-by: lbn <llbn@users.noreply.github.com>
Co-authored-by: crazywriter1 <53251494+crazywriter1@users.noreply.github.com>
Add in-session tool management via /tools disable/enable/list, plus
hermes tools list/disable/enable CLI subcommands. Supports both
built-in toolsets (web, memory) and MCP tools (github:create_issue).
To preserve prompt caching, /tools disable/enable in a chat session
saves the change to config and resets the session cleanly — the user
is asked to confirm before the reset happens.
Also improves prefix matching: /qui now dispatches to /quit instead
of showing ambiguous when longer skill commands like /quint-pipeline
are installed.
Based on PR #1520 by @YanSte.
Co-authored-by: Yannick Stephan <YanSte@users.noreply.github.com>
Add HERMES_API_MODE env var and model.api_mode config field to let
custom OpenAI-compatible endpoints opt into codex_responses mode
without requiring the OpenAI Codex OAuth provider path.
- _get_configured_api_mode() reads HERMES_API_MODE env (precedence)
then model.api_mode from config.yaml; validates against whitelist
- Applied in both _resolve_openrouter_runtime() and
_resolve_named_custom_runtime() (original PR only covered openrouter)
- Fix _dump_api_request_debug() to show /responses URL when in
codex_responses mode instead of always showing /chat/completions
- Tests for config override, env override, invalid values, named
custom providers, and debug dump URL for both API modes
Inspired by PR #1041 by @mxyhi.
Co-authored-by: mxyhi <mxyhi@users.noreply.github.com>
Add support for OpenCode Zen (pay-as-you-go, 35+ curated models) and
OpenCode Go ($10/month subscription, open models) as first-class providers.
Both are OpenAI-compatible endpoints resolved via the generic api_key
provider flow — no custom adapter needed.
Files changed:
- hermes_cli/auth.py — ProviderConfig entries + aliases
- hermes_cli/config.py — OPENCODE_ZEN/GO API key env vars
- hermes_cli/models.py — model catalogs, labels, aliases, provider order
- hermes_cli/main.py — provider labels, menu entries, model flow dispatch
- hermes_cli/setup.py — setup wizard branches (idx 10, 11)
- agent/model_metadata.py — context lengths for all OpenCode models
- agent/auxiliary_client.py — default aux models
- .env.example — documentation
Co-authored-by: DevAgarwal2 <DevAgarwal2@users.noreply.github.com>
Fixes hanging when using /skills install or /skills uninstall from the
TUI — bare input() calls hang inside prompt_toolkit's event loop.
Changes:
- Add skip_confirm parameter to do_install() and do_uninstall()
- Separate --yes/-y (confirmation bypass) from --force (scan override)
in both argparse and slash command handlers
- Update usage hint for /skills uninstall to show [--yes]
The original PR (#1595) accidentally deleted the install_from_quarantine()
call, which would have broken all installs. That bug is not present here.
Based on PR #1595 by 333Alden333.
Co-authored-by: 333Alden333 <333Alden333@users.noreply.github.com>
Add 'custom' to the provider order so custom OpenAI-compatible
endpoints appear in /model list. Probes the endpoint's /models API
to dynamically discover available models.
Changes:
- Add 'custom' to _PROVIDER_ORDER in list_available_providers()
- Add _get_custom_base_url() helper to read model.base_url from config
- Add custom branch in provider_model_ids() using fetch_api_models()
- Custom endpoint detection via base_url presence for has_creds check
Based on PR #1612 by @aashizpoudel.
Co-authored-by: Aashish Poudel <aashizpoudel@users.noreply.github.com>
* feat(cli): two-stage /model autocomplete with ghost text suggestions
- SlashCommandCompleter: Tab-complete providers first (anthropic:, openrouter:, etc.)
then models within the selected provider
- SlashCommandAutoSuggest: inline ghost text for slash commands, subcommands,
and /model provider:model two-stage suggestions
- Custom Tab key binding: accepts provider completion and immediately
re-triggers completions to show that provider's models
- COMMANDS_BY_CATEGORY: structured format with explicit subcommands for
tab completion and ghost text (prompt, reasoning, voice, skills, cron, browser)
- SUBCOMMANDS dict auto-extracted from command definitions
- Model/provider info cached 60s for responsive completions
* fix: repair test regression and restore gold color from PR #1622
- Fix test_unknown_command_still_shows_error: patch _cprint instead of
console.print to match the _cprint switch in process_command()
- Restore gold color on 'Type /help' hint using _DIM + _GOLD constants
instead of bare \033[2m (was losing the #B8860B gold)
- Use _GOLD constant for ambiguous command message for consistency
- Add clarifying comment on SUBCOMMANDS regex fallback
---------
Co-authored-by: Lars van der Zande <lmvanderzande@gmail.com>
- Bump _config_version 8 → 9
- Move stale ANTHROPIC_TOKEN clearing into 'if current_ver < 9' block
so it only runs once during the upgrade, not on every migrate_config()
- ANTHROPIC_TOKEN is still a valid auth path (OAuth flow), so we don't
want to clear it repeatedly — only during the one-time migration from
old setups that left it stale
- Add test_skips_on_version_9_or_later to verify one-time behavior
- All tests set config version 8 to trigger migration
- Remove *** placeholder detection from _sanitize_env_lines (was based on
confusing terminal redaction with literal file content)
- Add migrate_config() logic to clear stale ANTHROPIC_TOKEN when better
credentials exist (ANTHROPIC_API_KEY or Claude Code auto-discovery)
- Old ANTHROPIC_TOKEN values shadow Claude Code credential fallthrough,
breaking auth for users who updated without re-running setup
- Preserves ANTHROPIC_TOKEN when it's the only auth method available
- 3 new migration tests, updated existing tests
Fixes two corruption patterns that break API keys during updates:
1. Concatenated KEY=VALUE pairs on a single line due to missing newlines
(e.g. ANTHROPIC_API_KEY=sk-...OPENAI_BASE_URL=https://...). Uses a
known-keys set to safely detect and split concatenated entries without
false-splitting values that contain uppercase text.
2. Stale KEY=*** placeholder entries left by incomplete setup runs that
never get updated and shadow real credentials.
Changes:
- Add _sanitize_env_lines() that splits concatenated known keys and drops
*** placeholders
- Add sanitize_env_file() public API for explicit repair
- Call sanitization in save_env_value() on every read (self-healing)
- Call sanitize_env_file() at the start of migrate_config() so existing
corrupted files are repaired on update
- 12 new tests covering splits, placeholders, edge cases, and integration
Introduce a cloud browser provider abstraction so users can switch
between Local Browser, Browserbase, and Browser Use (or future providers)
via hermes tools / hermes setup.
Cloud browser providers are behind an ABC (tools/browser_providers/base.py)
so adding a new provider is a single-file addition with no changes to
browser_tool.py internals.
Changes:
- tools/browser_providers/ package with ABC, Browserbase extraction,
and Browser Use provider
- browser_tool.py refactored to use _PROVIDER_REGISTRY + _get_cloud_provider()
(cached) instead of hardcoded _is_local_mode() / _create_browserbase_session()
- tools_config.py: generic _is_provider_active() / _detect_active_provider_index()
replace TTS-only logic; Browser Use added as third browser option
- config.py: BROWSER_USE_API_KEY added to OPTIONAL_ENV_VARS + show_config + allowlist
- subprocess pipe hang fix: agent-browser daemon inherits pipe fds,
communicate() blocks. Replaced with Popen + temp files.
Original PR: #1208
Co-authored-by: ShawnPana <shawnpana@users.noreply.github.com>
* feat: add Vercel AI Gateway as a first-class provider
Adds AI Gateway (ai-gateway.vercel.sh) as a new inference provider
with AI_GATEWAY_API_KEY authentication, live model discovery, and
reasoning support via extra_body.reasoning.
Based on PR #1492 by jerilynzheng.
* feat: add AI Gateway to setup wizard, doctor, and fallback providers
* test: add AI Gateway to api_key_providers test suite
* feat: add AI Gateway to hermes model CLI and model metadata
Wire AI Gateway into the interactive model selection menu and add
context lengths for AI Gateway model IDs in model_metadata.py.
* feat: use claude-haiku-4.5 as AI Gateway auxiliary model
* revert: use gemini-3-flash as AI Gateway auxiliary model
* fix: move AI Gateway below established providers in selection order
---------
Co-authored-by: jerilynzheng <jerilynzheng@users.noreply.github.com>
Co-authored-by: jerilynzheng <zheng.jerilyn@gmail.com>
* refactor: centralize slash command registry
Replace 7+ scattered command definition sites with a single
CommandDef registry in hermes_cli/commands.py. All downstream
consumers now derive from this registry:
- CLI process_command() resolves aliases via resolve_command()
- Gateway _known_commands uses GATEWAY_KNOWN_COMMANDS frozenset
- Gateway help text generated by gateway_help_lines()
- Telegram BotCommands generated by telegram_bot_commands()
- Slack subcommand map generated by slack_subcommand_map()
Adding a command or alias is now a one-line change to
COMMAND_REGISTRY instead of touching 6+ files.
Bugfixes included:
- Telegram now registers /rollback, /background (were missing)
- Slack now has /voice, /update, /reload-mcp (were missing)
- Gateway duplicate 'reasoning' dispatch (dead code) removed
- Gateway help text can no longer drift from CLI help
Backwards-compatible: COMMANDS and COMMANDS_BY_CATEGORY dicts are
rebuilt from the registry, so existing imports work unchanged.
* docs: update developer docs for centralized command registry
Update AGENTS.md with full 'Slash Command Registry' and 'Adding a
Slash Command' sections covering CommandDef fields, registry helpers,
and the one-line alias workflow.
Also update:
- CONTRIBUTING.md: commands.py description
- website/docs/reference/slash-commands.md: reference central registry
- docs/plans/centralize-command-registry.md: mark COMPLETED
- plans/checkpoint-rollback.md: reference new pattern
- hermes-agent-dev skill: architecture table
* chore: remove stale plan docs
Repair stale launchd/systemd definitions during install and
teach launchd start to reload unloaded jobs before retrying.
Stop masking service restart failures by falling back to a
foreground gateway when a configured service manager is still
broken.
Refs: #1613
* fix: Anthropic OAuth compatibility — Claude Code identity fingerprinting
Anthropic routes OAuth/subscription requests based on Claude Code's
identity markers. Without them, requests get intermittent 500 errors
(~25% failure rate observed). This matches what pi-ai (clawdbot) and
OpenCode both implement for OAuth compatibility.
Changes (OAuth tokens only — API key users unaffected):
1. Headers: user-agent 'claude-cli/2.1.2 (external, cli)' + x-app 'cli'
2. System prompt: prepend 'You are Claude Code, Anthropic's official CLI'
3. System prompt sanitization: replace Hermes/Nous references
4. Tool names: prefix with 'mcp_' (Claude Code convention for non-native tools)
5. Tool name stripping: remove 'mcp_' prefix from response tool calls
Before: 9/12 OK, 1 hard fail, 4 needed retries (~25% error rate)
After: 16/16 OK, 0 failures, 0 retries (0% error rate)
* fix: auto-detect DBUS_SESSION_BUS_ADDRESS for systemctl --user on headless servers
On SSH sessions to headless servers, DBUS_SESSION_BUS_ADDRESS and
XDG_RUNTIME_DIR may not be set even when the user's systemd instance
is running via linger. This causes 'systemctl --user' to fail with
'Failed to connect to bus: No medium found', breaking gateway
restart/start/stop as a service and falling back to foreground mode.
Add _ensure_user_systemd_env() that detects the standard D-Bus socket
at /run/user/<UID>/bus and sets the env vars before any systemctl --user
call. Called from _systemctl_cmd() so all existing call sites benefit
automatically with zero changes.
Fixes: gateway restart falling back to foreground on headless servers
* fix: show linger guidance when gateway restart fails during update and gateway restart
When systemctl --user restart fails during 'hermes update' or
'hermes gateway restart', check linger status and tell the user
exactly what to run (sudo -S -p '' loginctl enable-linger) instead of
silently falling back to foreground mode.
Also applies _ensure_user_systemd_env() to the raw systemctl calls
in cmd_update so they work properly on SSH sessions where D-Bus
env vars are missing.
* feat: add optional smart model routing
Add a conservative cheap-vs-strong routing option that can send very short/simple turns to a cheaper model across providers while keeping the primary model for complex work. Wire it through CLI, gateway, and cron, and document the config.yaml workflow.
* fix(gateway): remove recursive ExecStop from systemd units, extend TimeoutStopSec to 60s
* fix(gateway): avoid recursive ExecStop in user systemd unit
* fix: extend ExecStop removal and TimeoutStopSec=60 to system unit
The cherry-picked PR #1448 fix only covered the user systemd unit.
The system unit had the same TimeoutStopSec=15 and could benefit
from the same 60s timeout for clean shutdown. Also adds a regression
test for the system unit.
---------
Co-authored-by: Ninja <ninja@local>
* feat(skills): add blender-mcp optional skill for 3D modeling
Control a running Blender instance from Hermes via socket connection
to the blender-mcp addon (port 9876). Supports creating 3D objects,
materials, animations, and running arbitrary bpy code.
Placed in optional-skills/ since it requires Blender 4.3+ desktop
with a third-party addon manually started each session.
* feat(acp): support slash commands in ACP adapter (#1532)
Adds /help, /model, /tools, /context, /reset, /compact, /version
to the ACP adapter (VS Code, Zed, JetBrains). Commands are handled
directly in the server without instantiating the TUI — each command
queries agent/session state and returns plain text.
Unrecognized /commands fall through to the LLM as normal messages.
/model uses detect_provider_for_model() for auto-detection when
switching models, matching the CLI and gateway behavior.
Fixes#1402
* fix(logging): improve error logging in session search tool (#1533)
* fix(gateway): restart on retryable startup failures (#1517)
* feat(email): add skip_attachments option via config.yaml
* feat(email): add skip_attachments option via config.yaml
Adds a config.yaml-driven option to skip email attachments in the
gateway email adapter. Useful for malware protection and bandwidth
savings.
Configure in config.yaml:
platforms:
email:
skip_attachments: true
Based on PR #1521 by @an420eth, changed from env var to config.yaml
(via PlatformConfig.extra) to match the project's config-first pattern.
* docs: document skip_attachments option for email adapter
* fix(telegram): retry on transient TLS failures during connect and send
Add exponential-backoff retry (3 attempts) around initialize() to
handle transient TLS resets during gateway startup. Also catches
TimedOut and OSError in addition to NetworkError.
Add exponential-backoff retry (3 attempts) around send_message() for
NetworkError during message delivery, wrapping the existing Markdown
fallback logic.
Both imports are guarded with try/except ImportError for test
environments where telegram is mocked.
Based on PR #1527 by cmd8. Closes#1526.
* feat: permissive block_anchor thresholds and unicode normalization (#1539)
Salvaged from PR #1528 by an420eth. Closes#517.
Improves _strategy_block_anchor in fuzzy_match.py:
- Add unicode normalization (smart quotes, em/en-dashes, ellipsis,
non-breaking spaces → ASCII) so LLM-produced unicode artifacts
don't break anchor line matching
- Lower thresholds: 0.10 for unique matches (was 0.70), 0.30 for
multiple candidates — if first/last lines match exactly, the
block is almost certainly correct
- Use original (non-normalized) content for offset calculation to
preserve correct character positions
Tested: 3 new scenarios fixed (em-dash anchors, non-breaking space
anchors, very-low-similarity unique matches), zero regressions on
all 9 existing fuzzy match tests.
Co-authored-by: an420eth <an420eth@users.noreply.github.com>
* feat(cli): add file path autocomplete in the input prompt (#1545)
When typing a path-like token (./ ../ ~/ / or containing /),
the CLI now shows filesystem completions in the dropdown menu.
Directories show a trailing slash and 'dir' label; files show
their size. Completions are case-insensitive and capped at 30
entries.
Triggered by tokens like:
edit ./src/ma → shows ./src/main.py, ./src/manifest.json, ...
check ~/doc → shows ~/docs/, ~/documents/, ...
read /etc/hos → shows /etc/hosts, /etc/hostname, ...
open tools/reg → shows tools/registry.py
Slash command autocomplete (/help, /model, etc.) is unaffected —
it still triggers when the input starts with /.
Inspired by OpenCode PR #145 (file path completion menu).
Implementation:
- hermes_cli/commands.py: _extract_path_word() detects path-like
tokens, _path_completions() yields filesystem Completions with
size labels, get_completions() routes to paths vs slash commands
- tests/hermes_cli/test_path_completion.py: 26 tests covering
path extraction, prefix filtering, directory markers, home
expansion, case-insensitivity, integration with slash commands
* feat(privacy): redact PII from LLM context when privacy.redact_pii is enabled
Add privacy.redact_pii config option (boolean, default false). When
enabled, the gateway redacts personally identifiable information from
the system prompt before sending it to the LLM provider:
- Phone numbers (user IDs on WhatsApp/Signal) → hashed to user_<sha256>
- User IDs → hashed to user_<sha256>
- Chat IDs → numeric portion hashed, platform prefix preserved
- Home channel IDs → hashed
- Names/usernames → NOT affected (user-chosen, publicly visible)
Hashes are deterministic (same user → same hash) so the model can
still distinguish users in group chats. Routing and delivery use
the original values internally — redaction only affects LLM context.
Inspired by OpenClaw PR #47959.
* fix(privacy): skip PII redaction on Discord/Slack (mentions need real IDs)
Discord uses <@user_id> for mentions and Slack uses <@U12345> — the LLM
needs the real ID to tag users. Redaction now only applies to WhatsApp,
Signal, and Telegram where IDs are pure routing metadata.
Add 4 platform-specific tests covering Discord, WhatsApp, Signal, Slack.
* feat: smart approvals + /stop command (inspired by OpenAI Codex)
* feat: smart approvals — LLM-based risk assessment for dangerous commands
Adds a 'smart' approval mode that uses the auxiliary LLM to assess
whether a flagged command is genuinely dangerous or a false positive,
auto-approving low-risk commands without prompting the user.
Inspired by OpenAI Codex's Smart Approvals guardian subagent
(openai/codex#13860).
Config (config.yaml):
approvals:
mode: manual # manual (default), smart, off
Modes:
- manual — current behavior, always prompt the user
- smart — aux LLM evaluates risk: APPROVE (auto-allow), DENY (block),
or ESCALATE (fall through to manual prompt)
- off — skip all approval prompts (equivalent to --yolo)
When smart mode auto-approves, the pattern gets session-level approval
so subsequent uses of the same pattern don't trigger another LLM call.
When it denies, the command is blocked without user prompt. When
uncertain, it escalates to the normal manual approval flow.
The LLM prompt is carefully scoped: it sees only the command text and
the flagged reason, assesses actual risk vs false positive, and returns
a single-word verdict.
* feat: make smart approval model configurable via config.yaml
Adds auxiliary.approval section to config.yaml with the same
provider/model/base_url/api_key pattern as other aux tasks (vision,
web_extract, compression, etc.).
Config:
auxiliary:
approval:
provider: auto
model: '' # fast/cheap model recommended
base_url: ''
api_key: ''
Bridged to env vars in both CLI and gateway paths so the aux client
picks them up automatically.
* feat: add /stop command to kill all background processes
Adds a /stop slash command that kills all running background processes
at once. Currently users have to process(list) then process(kill) for
each one individually.
Inspired by OpenAI Codex's separation of interrupt (Ctrl+C stops current
turn) from /stop (cleans up background processes). See openai/codex#14602.
Ctrl+C continues to only interrupt the active agent turn — background
dev servers, watchers, etc. are preserved. /stop is the explicit way
to clean them all up.
* feat: first-class plugin architecture + hide status bar cost by default (#1544)
The persistent status bar now shows context %, token counts, and
duration but NOT $ cost by default. Cost display is opt-in via:
display:
show_cost: true
in config.yaml, or: hermes config set display.show_cost true
The /usage command still shows full cost breakdown since the user
explicitly asked for it — this only affects the always-visible bar.
Status bar without cost:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ 15m
Status bar with show_cost: true:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ $0.06 │ 15m
* feat: improve memory prioritization + aggressive skill updates (inspired by OpenAI Codex)
* feat: improve memory prioritization — user preferences over procedural knowledge
Inspired by OpenAI Codex's memory prompt improvements (openai/codex#14493)
which focus memory writes on user preferences and recurring patterns
rather than procedural task details.
Key insight: 'Optimize for reducing future user steering — the most
valuable memory prevents the user from having to repeat themselves.'
Changes:
- MEMORY_GUIDANCE (prompt_builder.py): added prioritization hierarchy
and the core principle about reducing user steering
- MEMORY_SCHEMA (memory_tool.py): reordered WHEN TO SAVE list to put
corrections first, added explicit PRIORITY guidance
- Memory nudge (run_agent.py): now asks specifically about preferences,
corrections, and workflow patterns instead of generic 'anything'
- Memory flush (run_agent.py): now instructs to prioritize user
preferences and corrections over task-specific details
* feat: more aggressive skill creation and update prompting
Press harder on skill updates — the agent should proactively patch
skills when it encounters issues during use, not wait to be asked.
Changes:
- SKILLS_GUIDANCE: 'consider saving' → 'save'; added explicit instruction
to patch skills immediately when found outdated/wrong
- Skills header: added instruction to update loaded skills before finishing
if they had missing steps or wrong commands
- Skill nudge: more assertive ('save the approach' not 'consider saving'),
now also prompts for updating existing skills used in the task
- Skill nudge interval: lowered default from 15 to 10 iterations
- skill_manage schema: added 'patch it immediately' to update triggers
* feat: first-class plugin architecture (#1555)
Plugin system for extending Hermes with custom tools, hooks, and
integrations — no source code changes required.
Core system (hermes_cli/plugins.py):
- Plugin discovery from ~/.hermes/plugins/, .hermes/plugins/, and
pip entry_points (hermes_agent.plugins group)
- PluginContext with register_tool() and register_hook()
- 6 lifecycle hooks: pre/post tool_call, pre/post llm_call,
on_session_start/end
- Namespace package handling for relative imports in plugins
- Graceful error isolation — broken plugins never crash the agent
Integration (model_tools.py):
- Plugin discovery runs after built-in + MCP tools
- Plugin tools bypass toolset filter via get_plugin_tool_names()
- Pre/post tool call hooks fire in handle_function_call()
CLI:
- /plugins command shows loaded plugins, tool counts, status
- Added to COMMANDS dict for autocomplete
Docs:
- Getting started guide (build-a-hermes-plugin.md) — full tutorial
building a calculator plugin step by step
- Reference page (features/plugins.md) — quick overview + tables
- Covers: file structure, schemas, handlers, hooks, data files,
bundled skills, env var gating, pip distribution, common mistakes
Tests: 16 tests covering discovery, loading, hooks, tool visibility.
* feat: add /bg as alias for /background slash command
Adds /bg alias across CLI, gateway, and Slack platform adapter.
Updates help text, autocomplete, known_commands set, and dispatch
logic. Includes tests for the new alias.
* docs: add plan for centralized slash command registry
Scopes a refactor to replace 7+ scattered command definition sites
with a single CommandDef registry in hermes_cli/commands.py. Includes
derived helper functions for gateway help text, Telegram BotCommands,
Slack subcommand maps, and alias resolution.
Documents current drift (Telegram missing /rollback + /background,
Slack missing /voice + /update, gateway dead code) that the refactor
fixes for free.
---------
Co-authored-by: Ninja <ninja@local>
Co-authored-by: alireza78a <alireza78a@users.noreply.github.com>
Co-authored-by: Oktay Aydin <113846926+aydnOktay@users.noreply.github.com>
Co-authored-by: JP Lew <polydegen@protonmail.com>
Co-authored-by: an420eth <an420eth@users.noreply.github.com>
* feat: add optional smart model routing
Add a conservative cheap-vs-strong routing option that can send very short/simple turns to a cheaper model across providers while keeping the primary model for complex work. Wire it through CLI, gateway, and cron, and document the config.yaml workflow.
* fix(gateway): remove recursive ExecStop from systemd units, extend TimeoutStopSec to 60s
* fix(gateway): avoid recursive ExecStop in user systemd unit
* fix: extend ExecStop removal and TimeoutStopSec=60 to system unit
The cherry-picked PR #1448 fix only covered the user systemd unit.
The system unit had the same TimeoutStopSec=15 and could benefit
from the same 60s timeout for clean shutdown. Also adds a regression
test for the system unit.
---------
Co-authored-by: Ninja <ninja@local>
* feat(skills): add blender-mcp optional skill for 3D modeling
Control a running Blender instance from Hermes via socket connection
to the blender-mcp addon (port 9876). Supports creating 3D objects,
materials, animations, and running arbitrary bpy code.
Placed in optional-skills/ since it requires Blender 4.3+ desktop
with a third-party addon manually started each session.
* feat(acp): support slash commands in ACP adapter (#1532)
Adds /help, /model, /tools, /context, /reset, /compact, /version
to the ACP adapter (VS Code, Zed, JetBrains). Commands are handled
directly in the server without instantiating the TUI — each command
queries agent/session state and returns plain text.
Unrecognized /commands fall through to the LLM as normal messages.
/model uses detect_provider_for_model() for auto-detection when
switching models, matching the CLI and gateway behavior.
Fixes#1402
* fix(logging): improve error logging in session search tool (#1533)
* fix(gateway): restart on retryable startup failures (#1517)
* feat(email): add skip_attachments option via config.yaml
* feat(email): add skip_attachments option via config.yaml
Adds a config.yaml-driven option to skip email attachments in the
gateway email adapter. Useful for malware protection and bandwidth
savings.
Configure in config.yaml:
platforms:
email:
skip_attachments: true
Based on PR #1521 by @an420eth, changed from env var to config.yaml
(via PlatformConfig.extra) to match the project's config-first pattern.
* docs: document skip_attachments option for email adapter
* fix(telegram): retry on transient TLS failures during connect and send
Add exponential-backoff retry (3 attempts) around initialize() to
handle transient TLS resets during gateway startup. Also catches
TimedOut and OSError in addition to NetworkError.
Add exponential-backoff retry (3 attempts) around send_message() for
NetworkError during message delivery, wrapping the existing Markdown
fallback logic.
Both imports are guarded with try/except ImportError for test
environments where telegram is mocked.
Based on PR #1527 by cmd8. Closes#1526.
* feat: permissive block_anchor thresholds and unicode normalization (#1539)
Salvaged from PR #1528 by an420eth. Closes#517.
Improves _strategy_block_anchor in fuzzy_match.py:
- Add unicode normalization (smart quotes, em/en-dashes, ellipsis,
non-breaking spaces → ASCII) so LLM-produced unicode artifacts
don't break anchor line matching
- Lower thresholds: 0.10 for unique matches (was 0.70), 0.30 for
multiple candidates — if first/last lines match exactly, the
block is almost certainly correct
- Use original (non-normalized) content for offset calculation to
preserve correct character positions
Tested: 3 new scenarios fixed (em-dash anchors, non-breaking space
anchors, very-low-similarity unique matches), zero regressions on
all 9 existing fuzzy match tests.
Co-authored-by: an420eth <an420eth@users.noreply.github.com>
* feat(cli): add file path autocomplete in the input prompt (#1545)
When typing a path-like token (./ ../ ~/ / or containing /),
the CLI now shows filesystem completions in the dropdown menu.
Directories show a trailing slash and 'dir' label; files show
their size. Completions are case-insensitive and capped at 30
entries.
Triggered by tokens like:
edit ./src/ma → shows ./src/main.py, ./src/manifest.json, ...
check ~/doc → shows ~/docs/, ~/documents/, ...
read /etc/hos → shows /etc/hosts, /etc/hostname, ...
open tools/reg → shows tools/registry.py
Slash command autocomplete (/help, /model, etc.) is unaffected —
it still triggers when the input starts with /.
Inspired by OpenCode PR #145 (file path completion menu).
Implementation:
- hermes_cli/commands.py: _extract_path_word() detects path-like
tokens, _path_completions() yields filesystem Completions with
size labels, get_completions() routes to paths vs slash commands
- tests/hermes_cli/test_path_completion.py: 26 tests covering
path extraction, prefix filtering, directory markers, home
expansion, case-insensitivity, integration with slash commands
* feat(privacy): redact PII from LLM context when privacy.redact_pii is enabled
Add privacy.redact_pii config option (boolean, default false). When
enabled, the gateway redacts personally identifiable information from
the system prompt before sending it to the LLM provider:
- Phone numbers (user IDs on WhatsApp/Signal) → hashed to user_<sha256>
- User IDs → hashed to user_<sha256>
- Chat IDs → numeric portion hashed, platform prefix preserved
- Home channel IDs → hashed
- Names/usernames → NOT affected (user-chosen, publicly visible)
Hashes are deterministic (same user → same hash) so the model can
still distinguish users in group chats. Routing and delivery use
the original values internally — redaction only affects LLM context.
Inspired by OpenClaw PR #47959.
* fix(privacy): skip PII redaction on Discord/Slack (mentions need real IDs)
Discord uses <@user_id> for mentions and Slack uses <@U12345> — the LLM
needs the real ID to tag users. Redaction now only applies to WhatsApp,
Signal, and Telegram where IDs are pure routing metadata.
Add 4 platform-specific tests covering Discord, WhatsApp, Signal, Slack.
* feat: smart approvals + /stop command (inspired by OpenAI Codex)
* feat: smart approvals — LLM-based risk assessment for dangerous commands
Adds a 'smart' approval mode that uses the auxiliary LLM to assess
whether a flagged command is genuinely dangerous or a false positive,
auto-approving low-risk commands without prompting the user.
Inspired by OpenAI Codex's Smart Approvals guardian subagent
(openai/codex#13860).
Config (config.yaml):
approvals:
mode: manual # manual (default), smart, off
Modes:
- manual — current behavior, always prompt the user
- smart — aux LLM evaluates risk: APPROVE (auto-allow), DENY (block),
or ESCALATE (fall through to manual prompt)
- off — skip all approval prompts (equivalent to --yolo)
When smart mode auto-approves, the pattern gets session-level approval
so subsequent uses of the same pattern don't trigger another LLM call.
When it denies, the command is blocked without user prompt. When
uncertain, it escalates to the normal manual approval flow.
The LLM prompt is carefully scoped: it sees only the command text and
the flagged reason, assesses actual risk vs false positive, and returns
a single-word verdict.
* feat: make smart approval model configurable via config.yaml
Adds auxiliary.approval section to config.yaml with the same
provider/model/base_url/api_key pattern as other aux tasks (vision,
web_extract, compression, etc.).
Config:
auxiliary:
approval:
provider: auto
model: '' # fast/cheap model recommended
base_url: ''
api_key: ''
Bridged to env vars in both CLI and gateway paths so the aux client
picks them up automatically.
* feat: add /stop command to kill all background processes
Adds a /stop slash command that kills all running background processes
at once. Currently users have to process(list) then process(kill) for
each one individually.
Inspired by OpenAI Codex's separation of interrupt (Ctrl+C stops current
turn) from /stop (cleans up background processes). See openai/codex#14602.
Ctrl+C continues to only interrupt the active agent turn — background
dev servers, watchers, etc. are preserved. /stop is the explicit way
to clean them all up.
* feat: first-class plugin architecture + hide status bar cost by default (#1544)
The persistent status bar now shows context %, token counts, and
duration but NOT $ cost by default. Cost display is opt-in via:
display:
show_cost: true
in config.yaml, or: hermes config set display.show_cost true
The /usage command still shows full cost breakdown since the user
explicitly asked for it — this only affects the always-visible bar.
Status bar without cost:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ 15m
Status bar with show_cost: true:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ $0.06 │ 15m
* feat: improve memory prioritization + aggressive skill updates (inspired by OpenAI Codex)
* feat: improve memory prioritization — user preferences over procedural knowledge
Inspired by OpenAI Codex's memory prompt improvements (openai/codex#14493)
which focus memory writes on user preferences and recurring patterns
rather than procedural task details.
Key insight: 'Optimize for reducing future user steering — the most
valuable memory prevents the user from having to repeat themselves.'
Changes:
- MEMORY_GUIDANCE (prompt_builder.py): added prioritization hierarchy
and the core principle about reducing user steering
- MEMORY_SCHEMA (memory_tool.py): reordered WHEN TO SAVE list to put
corrections first, added explicit PRIORITY guidance
- Memory nudge (run_agent.py): now asks specifically about preferences,
corrections, and workflow patterns instead of generic 'anything'
- Memory flush (run_agent.py): now instructs to prioritize user
preferences and corrections over task-specific details
* feat: more aggressive skill creation and update prompting
Press harder on skill updates — the agent should proactively patch
skills when it encounters issues during use, not wait to be asked.
Changes:
- SKILLS_GUIDANCE: 'consider saving' → 'save'; added explicit instruction
to patch skills immediately when found outdated/wrong
- Skills header: added instruction to update loaded skills before finishing
if they had missing steps or wrong commands
- Skill nudge: more assertive ('save the approach' not 'consider saving'),
now also prompts for updating existing skills used in the task
- Skill nudge interval: lowered default from 15 to 10 iterations
- skill_manage schema: added 'patch it immediately' to update triggers
* feat: first-class plugin architecture (#1555)
Plugin system for extending Hermes with custom tools, hooks, and
integrations — no source code changes required.
Core system (hermes_cli/plugins.py):
- Plugin discovery from ~/.hermes/plugins/, .hermes/plugins/, and
pip entry_points (hermes_agent.plugins group)
- PluginContext with register_tool() and register_hook()
- 6 lifecycle hooks: pre/post tool_call, pre/post llm_call,
on_session_start/end
- Namespace package handling for relative imports in plugins
- Graceful error isolation — broken plugins never crash the agent
Integration (model_tools.py):
- Plugin discovery runs after built-in + MCP tools
- Plugin tools bypass toolset filter via get_plugin_tool_names()
- Pre/post tool call hooks fire in handle_function_call()
CLI:
- /plugins command shows loaded plugins, tool counts, status
- Added to COMMANDS dict for autocomplete
Docs:
- Getting started guide (build-a-hermes-plugin.md) — full tutorial
building a calculator plugin step by step
- Reference page (features/plugins.md) — quick overview + tables
- Covers: file structure, schemas, handlers, hooks, data files,
bundled skills, env var gating, pip distribution, common mistakes
Tests: 16 tests covering discovery, loading, hooks, tool visibility.
* fix: hermes update causes dual gateways on macOS (launchd)
Three bugs worked together to create the dual-gateway problem:
1. cmd_update only checked systemd for gateway restart, completely
ignoring launchd on macOS. After killing the PID it would print
'Restart it with: hermes gateway run' even when launchd was about
to auto-respawn the process.
2. launchd's KeepAlive.SuccessfulExit=false respawns the gateway
after SIGTERM (non-zero exit), so the user's manual restart
created a second instance.
3. The launchd plist lacked --replace (systemd had it), so the
respawned gateway didn't kill stale instances on startup.
Fixes:
- Add --replace to launchd ProgramArguments (matches systemd)
- Add launchd detection to cmd_update's auto-restart logic
- Print 'auto-restart via launchd' instead of manual restart hint
* fix: add launchd plist auto-refresh + explicit restart in cmd_update
Two integration issues with the initial fix:
1. Existing macOS users with old plist (no --replace) would never
get the fix until manual uninstall/reinstall. Added
refresh_launchd_plist_if_needed() — mirrors the existing
refresh_systemd_unit_if_needed(). Called from launchd_start(),
launchd_restart(), and cmd_update.
2. cmd_update relied on KeepAlive respawn after SIGTERM rather than
explicit launchctl stop/start. This caused races: launchd would
respawn the old process before the PID file was cleaned up.
Now does explicit stop+start (matching how systemd gets an
explicit systemctl restart), with plist refresh first so the
new --replace flag is picked up.
---------
Co-authored-by: Ninja <ninja@local>
Co-authored-by: alireza78a <alireza78a@users.noreply.github.com>
Co-authored-by: Oktay Aydin <113846926+aydnOktay@users.noreply.github.com>
Co-authored-by: JP Lew <polydegen@protonmail.com>
Co-authored-by: an420eth <an420eth@users.noreply.github.com>
Streaming is now off by default for both CLI and gateway. Users opt in:
CLI (config.yaml):
display:
streaming: true
Gateway (config.yaml):
streaming:
enabled: true
This lets early adopters test streaming while existing users see zero
change. Once we have enough field validation, we flip the default to
true in a subsequent release.
The persistent status bar now shows context %, token counts, and
duration but NOT $ cost by default. Cost display is opt-in via:
display:
show_cost: true
in config.yaml, or: hermes config set display.show_cost true
The /usage command still shows full cost breakdown since the user
explicitly asked for it — this only affects the always-visible bar.
Status bar without cost:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ 15m
Status bar with show_cost: true:
⚕ claude-sonnet-4 │ 12K/200K │ 6% │ $0.06 │ 15m
Add /browser slash command for connecting browser tools to the user's
live Chrome instance via Chrome DevTools Protocol:
/browser connect — connect to Chrome on localhost:9222
/browser connect ws://host:port — custom CDP endpoint
/browser disconnect — revert to default (headless/Browserbase)
/browser status — show current browser mode + connectivity
When connected:
- All browser tools (navigate, snapshot, click, etc.) control the
user's real Chrome — logged-in sessions, cookies, open tabs
- Platform-specific Chrome launch instructions are shown
- Port connectivity is tested immediately
- A context message is injected so the model knows it's controlling
a live browser and should be mindful of user's open tabs
Implementation:
- BROWSER_CDP_URL env var drives the backend selection in browser_tool.py
- New _create_cdp_session() creates sessions using the CDP override
- _get_cdp_override() checked before local/Browserbase selection
- Existing agent-browser --cdp flag handles the actual CDP connection
Inspired by OpenClaw's browser profile system.
* feat: smart approvals — LLM-based risk assessment for dangerous commands
Adds a 'smart' approval mode that uses the auxiliary LLM to assess
whether a flagged command is genuinely dangerous or a false positive,
auto-approving low-risk commands without prompting the user.
Inspired by OpenAI Codex's Smart Approvals guardian subagent
(openai/codex#13860).
Config (config.yaml):
approvals:
mode: manual # manual (default), smart, off
Modes:
- manual — current behavior, always prompt the user
- smart — aux LLM evaluates risk: APPROVE (auto-allow), DENY (block),
or ESCALATE (fall through to manual prompt)
- off — skip all approval prompts (equivalent to --yolo)
When smart mode auto-approves, the pattern gets session-level approval
so subsequent uses of the same pattern don't trigger another LLM call.
When it denies, the command is blocked without user prompt. When
uncertain, it escalates to the normal manual approval flow.
The LLM prompt is carefully scoped: it sees only the command text and
the flagged reason, assesses actual risk vs false positive, and returns
a single-word verdict.
* feat: make smart approval model configurable via config.yaml
Adds auxiliary.approval section to config.yaml with the same
provider/model/base_url/api_key pattern as other aux tasks (vision,
web_extract, compression, etc.).
Config:
auxiliary:
approval:
provider: auto
model: '' # fast/cheap model recommended
base_url: ''
api_key: ''
Bridged to env vars in both CLI and gateway paths so the aux client
picks them up automatically.
* feat: add /stop command to kill all background processes
Adds a /stop slash command that kills all running background processes
at once. Currently users have to process(list) then process(kill) for
each one individually.
Inspired by OpenAI Codex's separation of interrupt (Ctrl+C stops current
turn) from /stop (cleans up background processes). See openai/codex#14602.
Ctrl+C continues to only interrupt the active agent turn — background
dev servers, watchers, etc. are preserved. /stop is the explicit way
to clean them all up.
When typing a path-like token (./ ../ ~/ / or containing /),
the CLI now shows filesystem completions in the dropdown menu.
Directories show a trailing slash and 'dir' label; files show
their size. Completions are case-insensitive and capped at 30
entries.
Triggered by tokens like:
edit ./src/ma → shows ./src/main.py, ./src/manifest.json, ...
check ~/doc → shows ~/docs/, ~/documents/, ...
read /etc/hos → shows /etc/hosts, /etc/hostname, ...
open tools/reg → shows tools/registry.py
Slash command autocomplete (/help, /model, etc.) is unaffected —
it still triggers when the input starts with /.
Inspired by OpenCode PR #145 (file path completion menu).
Implementation:
- hermes_cli/commands.py: _extract_path_word() detects path-like
tokens, _path_completions() yields filesystem Completions with
size labels, get_completions() routes to paths vs slash commands
- tests/hermes_cli/test_path_completion.py: 26 tests covering
path extraction, prefix filtering, directory markers, home
expansion, case-insensitivity, integration with slash commands
Add privacy.redact_pii config option (boolean, default false). When
enabled, the gateway redacts personally identifiable information from
the system prompt before sending it to the LLM provider:
- Phone numbers (user IDs on WhatsApp/Signal) → hashed to user_<sha256>
- User IDs → hashed to user_<sha256>
- Chat IDs → numeric portion hashed, platform prefix preserved
- Home channel IDs → hashed
- Names/usernames → NOT affected (user-chosen, publicly visible)
Hashes are deterministic (same user → same hash) so the model can
still distinguish users in group chats. Routing and delivery use
the original values internally — redaction only affects LLM context.
Inspired by OpenClaw PR #47959.
Keep Docker sandboxes isolated by default. Add an explicit terminal.docker_mount_cwd_to_workspace opt-in, thread it through terminal/file environment creation, and document the security tradeoff and config.yaml workflow clearly.
* fix(gateway): avoid recursive ExecStop in user systemd unit
* fix: extend ExecStop removal and TimeoutStopSec=60 to system unit
The cherry-picked PR #1448 fix only covered the user systemd unit.
The system unit had the same TimeoutStopSec=15 and could benefit
from the same 60s timeout for clean shutdown. Also adds a regression
test for the system unit.
---------
Co-authored-by: Ninja <ninja@local>
Checkpoint & rollback upgrades:
1. Enabled by default — checkpoints are now on for all new sessions.
Zero cost when no file-mutating tools fire. Disable with
checkpoints.enabled: false in config.yaml.
2. Diff preview — /rollback diff <N> shows a git diff between the
checkpoint and current working tree before committing to a restore.
3. File-level restore — /rollback <N> <file> restores a single file
from a checkpoint instead of the entire directory.
4. Conversation undo on rollback — when restoring files, the last
chat turn is automatically undone so the agent's context matches
the restored filesystem state.
5. Terminal command checkpoints — destructive terminal commands (rm,
mv, sed -i, truncate, git reset/clean, output redirects) now
trigger automatic checkpoints before execution. Previously only
write_file and patch were covered.
6. Change summary in listing — /rollback now shows file count and
+insertions/-deletions for each checkpoint.
7. Fixed dead code — removed duplicate _run_git call in
list_checkpoints with nonsensical --all if False condition.
8. Updated help text — /rollback with no args now shows available
subcommands (diff, file-level restore).
Multiple Hermes installations on the same machine now get unique
systemd service names:
- Default ~/.hermes → hermes-gateway (backward compatible)
- Custom HERMES_HOME → hermes-gateway-<8-char-hash>
Changes:
- Add get_service_name() in hermes_cli/gateway.py that derives a
deterministic service name from HERMES_HOME via SHA256
- Replace all hardcoded 'hermes-gateway' systemd references with
get_service_name() across gateway.py, main.py, status.py, uninstall.py
- Add HERMES_HOME env var to both user and system systemd unit templates
so the gateway process uses the correct installation
- Update tests to use get_service_name() in assertions
cmd_update only ran 'systemctl --user restart hermes-gateway', which
left manually-started gateway processes alive, causing duplicates.
Now uses get_running_pid() from gateway/status.py (scoped to
HERMES_HOME) to find and SIGTERM this installation's gateway before
restarting. Safe with multiple Hermes installations since each
HERMES_HOME has its own PID file.
If no systemd service exists, informs the user to restart manually.
Based on PR #1131 by teknium1. Dropped the cli.py Rich from_ansi
changes (already on main).
When typing /model deepseek-chat while on a different provider, the
model name now auto-resolves to the correct provider instead of
silently staying on the wrong one and causing API errors.
Detection priority:
1. Direct provider with credentials (e.g. DEEPSEEK_API_KEY set)
2. OpenRouter catalog match with proper slug remapping
3. Direct provider without creds (clear error beats silent failure)
Also adds DeepSeek as a first-class API-key provider — just set
DEEPSEEK_API_KEY and /model deepseek-chat routes directly.
Bare model names get remapped to proper OpenRouter slugs:
/model gpt-5.4 → openai/gpt-5.4
/model claude-opus-4.6 → anthropic/claude-opus-4.6
Salvages the concept from PR #1177 by @virtaava with credential
awareness and OpenRouter slug mapping added.
Co-authored-by: virtaava <virtaava@users.noreply.github.com>
_update_config_for_provider() was called immediately after provider
selection for zai, kimi-coding, minimax, minimax-cn, and anthropic —
before model selection happened. Since the gateway re-reads config.yaml
per-message, this created a race where the gateway would pick up the
new provider but still use the old (incompatible) model name.
Capture selected_base_url in each provider block, then call
_update_config_for_provider() once, after model selection completes,
right before save_config(). The in-memory _set_model_provider() calls
stay in place so the config object remains consistent during setup.
Closes#1182
- Add 'emoji' field to ToolEntry and 'get_emoji()' to ToolRegistry
- Add emoji= to all 50+ registry.register() calls across tool files
- Add get_tool_emoji() helper in agent/display.py with 3-tier resolution:
skin override → registry default → hardcoded fallback
- Replace hardcoded emoji maps in run_agent.py, delegate_tool.py, and
gateway/run.py with centralized get_tool_emoji() calls
- Add 'tool_emojis' field to SkinConfig so skins can override per-tool
emojis (e.g. ares skin could use swords instead of wrenches)
- Add 11 tests (5 registry emoji, 6 display/skin integration)
- Update AGENTS.md skin docs table
Based on the approach from PR #1061 by ForgingAlex (emoji centralization
in registry). This salvage fixes several issues from the original:
- Does NOT split the cronjob tool (which would crash on missing schemas)
- Does NOT change image_generate toolset/requires_env/is_async
- Does NOT delete existing tests
- Completes the centralization (gateway/run.py was missed)
- Hooks into the skin system for full customizability
SSH persistent shell now defaults to true — non-local backends benefit
most from state persistence across execute() calls. Local backend
remains opt-in via TERMINAL_LOCAL_PERSISTENT env var.
New config.yaml option: terminal.persistent_shell (default: true)
Controls the default for non-local backends. Users can disable with:
hermes config set terminal.persistent_shell false
Precedence: per-backend env var > TERMINAL_PERSISTENT_SHELL > default.
Wired through cli.py, gateway/run.py, and hermes_cli/config.py so the
config.yaml value reaches terminal_tool via env var bridge.
Two changes to align Discord behavior with Slack:
1. Auto-thread on @mention (default: true)
- When someone @mentions the bot in a server channel, a thread is
automatically created from their message and the response goes there.
- Each thread gets its own isolated session (like Slack).
- Configurable via discord.auto_thread in config.yaml (default: true)
or DISCORD_AUTO_THREAD env var (env takes precedence).
- DMs and existing threads are unaffected.
2. Skip @mention in bot-participated threads
- Once the bot has responded in a thread (auto-created or manually
entered), subsequent messages in that thread no longer require
@mention. Users can just type normally.
- Tracked via in-memory set (_bot_participated_threads). After a
gateway restart, users need to @mention once to re-establish.
- Threads the bot hasn't participated in still require @mention.
Config change:
discord:
auto_thread: true # new, added to DEFAULT_CONFIG
Tests: 7 new tests covering auto-thread default, disable, bot thread
participation tracking, and mention skip logic. All 903 gateway tests pass.
Hermes startup entrypoints now load ~/.hermes/.env and project fallback env files with user config taking precedence over stale shell-exported values. This makes model/provider/base URL changes in .env actually take effect after restarting Hermes. Adds a shared env loader plus regression coverage, and reproduces the original bug case where OPENAI_BASE_URL and HERMES_INFERENCE_PROVIDER remained stuck on old shell values before import.
Resolve session IDs by exact match or unique prefix for sessions delete/export/rename so IDs copied from Preview Last Active Src ID
──────────────────────────────────────────────────────────────────────────────────────────
Search for GitHub/GitLab source repositories for 11m ago cli 20260315_034720_8e1f
[SYSTEM: The user has invoked the "minecraft-atm 1m ago cli 20260315_034035_57b6
1h ago cron cron_job-1_20260315_
[SYSTEM: The user has invoked the "hermes-agent- 9m ago cli 20260315_014304_652a
4h ago cron cron_job-1_20260314_
[The user attached an image. Here's what it cont 4h ago cli 20260314_233806_c8f3
[SYSTEM: The user has invoked the "google-worksp 1h ago cli 20260314_233301_b04f
Inspect the opencode codebase for how it sends m 4h ago cli 20260314_232543_0601
Inspect the clawdbot codebase for how it sends m 4h ago cli 20260314_232543_8125
4h ago cron cron_job-1_20260314_
Reply with exactly: smoke-ok 4h ago cli 20260314_231730_aac9
4h ago cron cron_job-1_20260314_
[SYSTEM: The user has invoked the "hermes-agent- 4h ago cli 20260314_231111_3586
[SYSTEM: The user has invoked the "hermes-agent- 4h ago cli 20260314_225551_daff
5h ago cron cron_job-1_20260314_
[SYSTEM: The user has invoked the "google-worksp 4h ago cli 20260314_224629_a9c6
k_sze — 10:34 PM Just ran hermes update and I 5h ago cli 20260314_224243_544e
5h ago cron cron_job-1_20260314_
5h ago cron cron_job-1_20260314_
5h ago cron cron_job-1_20260314_ work even when the table view truncates them. Add SessionDB prefix-resolution coverage and a CLI regression test for deleting by listed prefix.
_save_platform_tools() overwrote the entire platform_toolsets list with
only the toolsets known to CONFIGURABLE_TOOLSETS. This silently dropped
any MCP server toolsets that users had added manually to config.yaml.
Fix: collect any existing toolset keys that are not in CONFIGURABLE_TOOLSETS
and append them back after the wizard's selections are written. This ensures
MCP toolsets survive a hermes tools save.
Fixes#1247
- add stt.enabled to the default user config
- make transcription_tools respect the disabled flag globally
- surface disabled state cleanly in voice mode diagnostics
- add regression coverage for disabled STT provider selection
- mark private-channel scopes/events as optional
- note reinstall requirement after scope/event changes
- correct Slack allowlist messaging to match gateway behavior
- Add background thread mechanism (prefetch_update_check/get_update_result)
so git fetch runs in parallel with skill sync and agent init
- Fix repo path fallback in check_for_updates() for dev installs
- Remove duplicate build_welcome_banner (~180 lines) and
_format_context_length from cli.py — the banner.py version is
now the single source of truth
- Port skin banner_hero/banner_logo support and terminal width check
from cli.py's version into banner.py
- Add update status output to hermes version command
- Add unit tests for update check, prefetch, and version string
Add base_url/api_key overrides for auxiliary tasks and delegation so users can
route those flows straight to a custom OpenAI-compatible endpoint without
having to rely on provider=main or named custom providers.
Also clear gateway session env vars in test isolation so the full suite stays
deterministic when run from a messaging-backed agent session.
Moonshot (legacy key) users were shown kimi-for-coding and
kimi-k2-thinking-turbo which only work on the Coding Plan endpoint
(api.kimi.com/coding/v1). Add a separate "moonshot" model list that
excludes plan-specific models.
`hermes update` crashed with CalledProcessError when run on a local-only
branch (e.g. fix/stoicneko) because `git rev-list HEAD..origin/{branch}`
fails when origin/{branch} doesn't exist. Now verifies the remote branch
exists first and falls back to origin/main.
Fixes#1005
Without linger, user-level systemd services stop when the SSH session
ends — even though systemctl --user status shows active (running).
Changes to systemd_install():
- Try loginctl enable-linger automatically (succeeds when the process
has the required privileges)
- If loginctl fails (no privileges), print a clear, copy-pasteable
warning with the exact command the user must run
New helper: _ensure_linger_enabled()
- Fast path: checks /var/lib/systemd/linger/<user> (no subprocess)
- Auto-enable: loginctl enable-linger <user>
- Fallback: actionable warning with sudo command + restart instructions
Tests: 4 new tests in TestEnsureLingerEnabled, 205 passed total
Keep the argparse CLI aligned with the slash command so --yes and -y
behave the same as --force for hermes skills install.
Add a parser-level regression test.
Salvaged from PR #1007 by stablegenius49.
- let INSTALL_POLICY decide dangerous verdict handling for builtin skills
- allow --force to override blocked dangerous decisions for trusted and community sources
- accept --yes / -y as aliases for --force in /skills install
- update regression tests to match the intended policy precedence
Follow up on salvaged PR #1012.
Prevents raw custom-provider names from intercepting built-in provider ids,
and keeps the regression coverage focused on current-main behavior.
Add regression coverage for the new provider-aware vision setup flow and make the default OpenAI choice write AUXILIARY_VISION_MODEL so auxiliary vision requests don't fall back to the main model slug.
The old flow blindly asked for an OpenRouter API key after ANY non-OR
provider selection, even for Nous Portal and Codex which already
support vision natively. This was confusing and annoying.
New behavior:
- OpenRouter: skip — vision uses Gemini via their OR key
- Nous Portal OAuth: skip — vision uses Gemini via Nous
- OpenAI Codex: skip — gpt-5.3-codex supports vision
- Custom endpoint (api.openai.com): show OpenAI vision model picker
(gpt-4o, gpt-4o-mini, gpt-4.1, etc.), saves AUXILIARY_VISION_MODEL
- Custom (other) / z.ai / kimi / minimax / nous-api:
- First checks if existing OR/Nous creds already cover vision
- If not, offers friendly choice: OpenRouter / OpenAI / Skip
- No more 'enter OpenRouter key' thrown in your face
Also fixes the setup summary to check actual vision availability
across all providers instead of hardcoding 'requires OPENROUTER_API_KEY'.
MoA still correctly requires OpenRouter (calls multiple frontier models).
Update the unknown-subcommand config help output to use placeholder syntax too,
and extend the placeholder regression tests to cover show_config() and that
fallback help path.
Round out the skills hub integration with:
- richer skills.sh metadata and security surfacing during inspect/install
- generic check/update flows for hub-installed skills
- support for well-known Agent Skills endpoints via /.well-known/skills/index.json
Also persist upstream bundle metadata in the lock file and add
regression coverage plus live-compatible path handling for both
skills.sh aliases and well-known endpoints.
Seed ~/.hermes/SOUL.md when missing, load SOUL only from HERMES_HOME, and inject raw SOUL content without wrapper text. If the file exists but is empty, nothing is added to the system prompt.
- store gateway PID metadata and validate the live process before trusting gateway.pid
- auto-refresh outdated systemd user units before start/restart so installs pick up --replace fixes
- sweep stray manual gateway processes after service stops
- add regression tests for PID validation and service drift recovery
Harden the skills.sh hub adapter by parsing skill detail pages when
search slugs do not map cleanly onto GitHub skill folder names.
This adds detail-page resolution for alias-style skills, improves
inspect metadata from the page itself, and covers the behavior with
regression tests plus live smoke validation for json-render-react.
Add a skills.sh-backed source adapter for the Hermes Skills Hub.
The new adapter uses skills.sh search results for discovery, falls back to
featured homepage links for browse-style queries, and resolves installs /
inspects through the underlying GitHub repo using common Agent Skills
layout conventions. Also expose skills-sh in CLI source filters and add
regression coverage for search, alias resolution, and source routing.
* fix(gateway): surface missing linger in status and doctor
Warn when a systemd user gateway service has linger disabled so users can
spot the common 'gateway sleeps after logout' deployment issue from both
hermes doctor and hermes gateway status.
* fix(gateway): check linger status after install
After installing the systemd user service, report whether linger is
already enabled instead of always printing the generic hint. This makes
post-install guidance match the user's actual deployment state.
Add a restore prompt for interactive updates, keep the stash when the user declines, and print a post-restore warning that local changes were reapplied on top of updated code.
- Add multi-provider STT support (OpenAI > Groq fallback) in transcription_tools
- Auto-correct model selection when provider doesn't support the configured model
- Change voice record key from Ctrl+Space to Ctrl+R (macOS compatibility)
- Fix duplicate transcript echo in voice pipeline
- Add GROQ_API_KEY to .env.example
Salvaged from PR #932 by Wayne onto current main.
Apply skin-aware prompt symbols and live prompt_toolkit color refresh,
replace lingering hardcoded accent output with active-skin colors, keep
ANSI-safe response rendering, preserve secret-capture and approval-prompt
state handling, and add integration coverage for prompt state and style
refresh behavior.
hermes setup hung indefinitely on headless SSH sessions, Docker
containers, and CI/CD environments because the interactive provider
selection menu could not receive input.
Two-layer fix:
1. sys.stdin.isatty() check — auto-detects non-interactive environments
2. --non-interactive flag support — already in CLI parser, now honored
In both cases the wizard exits immediately with helpful guidance
pointing users to 'hermes config set' commands.
Closes#905
Integrate tirith as a pre-execution security scanner that detects
homograph URLs, pipe-to-interpreter patterns, terminal injection,
zero-width Unicode, and environment variable manipulation — threats
the existing 50-pattern dangerous command detector doesn't cover.
Architecture: gather-then-decide — both tirith and the dangerous
command detector run before any approval prompt, preventing gateway
force=True replay from bypassing one check when only the other was
shown to the user.
New files:
- tools/tirith_security.py: subprocess wrapper with auto-installer,
mandatory cosign provenance verification, non-blocking background
download, disk-persistent failure markers with retryable-cause
tracking (cosign_missing auto-clears when cosign appears on PATH)
- tests/tools/test_tirith_security.py: 62 tests covering exit code
mapping, fail_open, cosign verification, background install,
HERMES_HOME isolation, and failure recovery
- tests/tools/test_command_guards.py: 21 integration tests for the
combined guard orchestration
Modified files:
- tools/approval.py: add check_all_command_guards() orchestrator,
add allow_permanent parameter to prompt_dangerous_approval()
- tools/terminal_tool.py: replace _check_dangerous_command with
consolidated check_all_command_guards
- cli.py: update _approval_callback for allow_permanent kwarg,
call ensure_installed() at startup
- gateway/run.py: iterate pattern_keys list on replay approval,
call ensure_installed() at startup
- hermes_cli/config.py: add security config defaults, split
commented sections for independent fallback
- cli-config.yaml.example: document tirith security config
Restore the ACP editor-integration implementation that was present on the
original PR branch but did not actually land in main.
Includes:
- acp_adapter/ server, session manager, event bridge, auth, permissions,
and tool helpers
- hermes acp subcommand and hermes-acp entry point
- hermes-acp curated toolset
- ACP registry manifest, setup guide, and ACP test suite
- jupyter-live-kernel data science skill from the original branch
Also updates the revived ACP code for current main by:
- resolving runtime providers through the modern shared provider router
- binding ACP sessions to per-session cwd task overrides
- tracking duplicate same-name tool calls with FIFO IDs
- restoring terminal approval callbacks after prompts
- normalizing supporting docs/skill metadata
Validated with tests/acp and the full pytest suite (-n0).
- Introduced _approval_lock to ensure that approval prompts are handled sequentially, preventing state clobbering from parallel delegation subtasks.
- Updated approval_callback and HermesCLI methods to utilize the lock for managing approval state and deadlines.
- Added tests for the config bridging logic to ensure correct environment variable mapping from config.yaml.
Create a new session DB row when starting fresh from the CLI, reset the
agent DB flush cursor and todo state, and update session timing/session ID
bookkeeping so follow-up logging stays correct.
Also update slash-command descriptions and add regression tests for /new,
/reset, and /clear.
Supersedes PR #899.
Closes#641.
* fix: Home Assistant event filtering now closed by default
Previously, when no watch_domains or watch_entities were configured,
ALL state_changed events passed through to the agent, causing users
to be flooded with notifications for every HA entity change.
Now events are dropped by default unless the user explicitly configures:
- watch_domains: list of domains to monitor (e.g. climate, light)
- watch_entities: list of specific entity IDs to monitor
- watch_all: true (new option — opt-in to receive all events)
A warning is logged at connect time if no filters are configured,
guiding users to set up their HA platform config.
All 49 gateway HA tests + 52 HA tool tests pass.
* docs: update Home Assistant integration documentation
- homeassistant.md: Fix event filtering docs to reflect closed-by-default
behavior. Add watch_all option. Replace Python dict config example with
YAML. Fix defaults table (was incorrectly showing 'all'). Add required
configuration warning admonition.
- environment-variables.md: Add HASS_TOKEN and HASS_URL to Messaging section.
- messaging/index.md: Add Home Assistant to description, architecture
diagram, platform toolsets table, and Next Steps links.
* fix(terminal): strip provider env vars from background and PTY subprocesses
Extends the env var blocklist from #1157 to also cover the two remaining
leaky paths in process_registry.py:
- spawn_local() PTY path (line 156)
- spawn_local() background Popen path (line 197)
Both were still using raw os.environ, leaking provider vars to background
processes and interactive PTY sessions. Now uses the same dynamic
_HERMES_PROVIDER_ENV_BLOCKLIST from local.py.
Explicit env_vars passed to spawn_local() still override the blocklist,
matching the existing behavior for callers that intentionally need these.
Gap identified by PR #1004 (@PeterFile).
* feat(delegate): add observability metadata to subagent results
Enrich delegate_task results with metadata from the child AIAgent:
- model: which model the child used
- exit_reason: completed | interrupted | max_iterations
- tokens.input / tokens.output: token counts
- tool_trace: per-tool-call trace with byte sizes and ok/error status
Tool trace uses tool_call_id matching to correctly pair parallel tool
calls with their results, with a fallback for messages without IDs.
Cherry-picked from PR #872 by @omerkaz, with fixes:
- Fixed parallel tool call trace pairing (was always updating last entry)
- Removed redundant 'iterations' field (identical to existing 'api_calls')
- Added test for parallel tool call trace correctness
Co-authored-by: omerkaz <omerkaz@users.noreply.github.com>
* feat(stt): add free local whisper transcription via faster-whisper
Replace OpenAI-only STT with a dual-provider system mirroring the TTS
architecture (Edge TTS free / ElevenLabs paid):
STT: faster-whisper local (free, default) / OpenAI Whisper API (paid)
Changes:
- tools/transcription_tools.py: Full rewrite with provider dispatch,
config loading, local faster-whisper backend, and OpenAI API backend.
Auto-downloads model (~150MB for 'base') on first voice message.
Singleton model instance reused across calls.
- pyproject.toml: Add faster-whisper>=1.0.0 as core dependency
- hermes_cli/config.py: Expand stt config to match TTS pattern with
provider selection and per-provider model settings
- agent/context_compressor.py: Fix .strip() crash when LLM returns
non-string content (dict from llama.cpp, None). Fixes#1100 partially.
- tests/: 23 new tests for STT providers + 2 for compressor fix
- docs/: Updated Voice & TTS page with STT provider table, model sizes,
config examples, and fallback behavior
Fallback behavior:
- Local not installed → OpenAI API (if key set)
- OpenAI key not set → local whisper (if installed)
- Neither → graceful error message to user
Co-authored-by: Jah-yee <Jah-yee@users.noreply.github.com>
---------
Co-authored-by: omerkaz <omerkaz@users.noreply.github.com>
Co-authored-by: Jah-yee <Jah-yee@users.noreply.github.com>
Users sometimes paste Discord IDs with prefixes like 'user:123456',
'<@123456>', or '<@!123456>' from Discord's UI or third-party tools.
This caused auth failures since the allowlist contained 'user:123' but
the actual user_id from messages was just '123'.
Fixes:
- Added _clean_discord_id() helper in discord.py to strip common prefixes
- Applied sanitization at runtime when parsing DISCORD_ALLOWED_USERS env var
- Applied sanitization in hermes setup and hermes gateway setup input flows
- Handles user:, <@>, and <@!> prefix formats
When _update_config_for_provider() writes the new provider and base_url
to config.yaml, the gateway (which re-reads config per-message) can pick
up the change before model selection completes. This causes the old model
name (e.g. 'anthropic/claude-opus-4.6') to be sent to the new provider's
API (e.g. MiniMax), which fails.
Changes:
- _update_config_for_provider() now accepts an optional default_model
parameter. When provided and the current model.default is empty or
uses OpenRouter format (contains '/'), it sets a safe default model
for the new provider.
- All setup.py callers for direct-API providers (zai, kimi, minimax,
minimax-cn, anthropic) now pass a provider-appropriate default model.
- _setup_provider_model_selection() now validates the 'Keep current'
choice: if the current model uses OpenRouter format and wouldn't work
with the new provider, it warns and switches to the provider's first
default model instead of silently keeping the incompatible name.
Reported by a user on Home Assistant whose gateway started sending
'anthropic/claude-opus-4.6' to MiniMax's API after running hermes setup.
Set HERMES_INTERACTIVE=1 via setdefault in run_doctor() so CLI-gated
tool checks (like cronjob) see the same context as the interactive CLI.
Cherry-picked from PR #895 by @stablegenius49.
Fixes#878
Co-authored-by: stablegenius49 <stablegenius49@users.noreply.github.com>
When a skill declares required_environment_variables in its YAML
frontmatter, missing env vars trigger a secure TUI prompt (identical
to the sudo password widget) when the skill is loaded. Secrets flow
directly to ~/.hermes/.env, never entering LLM context.
Key changes:
- New required_environment_variables frontmatter field for skills
- Secure TUI widget (masked input, 120s timeout)
- Gateway safety: messaging platforms show local setup guidance
- Legacy prerequisites.env_vars normalized into new format
- Remote backend handling: conservative setup_needed=True
- Env var name validation, file permissions hardened to 0o600
- Redact patterns extended for secret-related JSON fields
- 12 existing skills updated with prerequisites declarations
- ~48 new tests covering skip, timeout, gateway, remote backends
- Dynamic panel widget sizing (fixes hardcoded width from original PR)
Cherry-picked from PR #723 by kshitijk4poor, rebased onto current main
with conflict resolution.
Fixes#688
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Fixes Anthropic OAuth/subscription authentication end-to-end:
Auth failures (401 errors):
- Add missing 'claude-code-20250219' beta header for OAuth tokens. Both
clawdbot and OpenCode include this alongside 'oauth-2025-04-20' — without
it, Anthropic's API rejects OAuth tokens with 401 authentication errors.
- Fix _fetch_anthropic_models() to use canonical beta headers from
_COMMON_BETAS + _OAUTH_ONLY_BETAS instead of hardcoding.
Token refresh:
- Add _refresh_oauth_token() — when Claude Code credentials from
~/.claude/.credentials.json are expired but have a refresh token,
automatically POST to console.anthropic.com/v1/oauth/token to get
a new access token. Uses the same client_id as Claude Code / OpenCode.
- Add _write_claude_code_credentials() — writes refreshed tokens back
to ~/.claude/.credentials.json, preserving other fields.
- resolve_anthropic_token() now auto-refreshes expired tokens before
returning None.
Config contamination:
- Anthropic's _model_flow_anthropic() no longer saves base_url to config.
Since resolve_runtime_provider() always hardcodes Anthropic's URL, the
stale base_url was contaminating other providers when users switched
without re-running 'hermes model' (e.g., Codex hitting api.anthropic.com).
- _update_config_for_provider() now pops base_url when passed empty string.
- Same fix in setup.py.
Flow/UX (hermes model command):
- CLAUDE_CODE_OAUTH_TOKEN env var now checked in credential detection
- Reauthentication option when existing credentials found
- run_oauth_setup_token() runs 'claude setup-token' as interactive
subprocess, then auto-detects saved credentials
- Clean has_creds/needs_auth flow in both main.py and setup.py
Tests (14 new):
- Beta header assertions for claude-code-20250219
- Token refresh: successful refresh with credential writeback, failed
refresh returns None, no refresh token returns None
- Credential writeback: new file creation, preserving existing fields
- Auto-refresh integration in resolve_anthropic_token()
- CLAUDE_CODE_OAUTH_TOKEN fallback, credential file auto-discovery
- run_oauth_setup_token() (5 scenarios)
Doctor-only override so honcho shows as available when configured,
even outside a live agent session. Runtime tool gate unchanged.
Cherry-picked from PR #962 by PeterFile, rebased onto current main
(post-#736 merge) with conflict resolution.
Fixes#961
Co-authored-by: PeterFile <PeterFile@users.noreply.github.com>
Remove 50 lines of unreachable duplicate model selection logic in
setup_model_provider() for zai/kimi-coding/minimax/minimax-cn providers.
The code referenced undefined `is_coding_plan` variable, crashing setup.
_setup_provider_model_selection() already handles these providers correctly
via _DEFAULT_PROVIDER_MODELS dict.
Fixes from comprehensive code review and cross-referencing with
clawdbot/OpenCode implementations:
CRITICAL:
- Add one-shot guard (anthropic_auth_retry_attempted) to prevent
infinite 401 retry loops when credentials keep changing
- Fix _is_oauth_token(): managed keys from ~/.claude.json are NOT
regular API keys (don't start with sk-ant-api). Inverted the logic:
only sk-ant-api* is treated as API key auth, everything else uses
Bearer auth + oauth beta headers
HIGH:
- Wrap json.loads(args) in try/except in message conversion — malformed
tool_call arguments no longer crash the entire conversation
- Raise AuthError in runtime_provider when no Anthropic token found
(was silently passing empty string, causing confusing API errors)
- Remove broken _try_anthropic() from auxiliary vision chain — the
centralized router creates an OpenAI client for api_key providers
which doesn't work with Anthropic's Messages API
MEDIUM:
- Handle empty assistant message content — Anthropic rejects empty
content blocks, now inserts '(empty)' placeholder
- Fix setup.py existing_key logic — set to 'KEEP' sentinel instead
of None to prevent falling through to the auth choice prompt
- Add debug logging to _fetch_anthropic_models on failure
Tests: 43 adapter tests (2 new for token detection), 3197 total passed
- Add _fetch_anthropic_models() to hermes_cli/models.py — hits the
Anthropic /v1/models endpoint to get the live model catalog. Handles
both API key and OAuth token auth headers.
- Wire it into provider_model_ids() so both 'hermes model' and
'hermes setup model' show the live list instead of a stale static one.
- Update static _PROVIDER_MODELS fallback with full current catalog:
opus-4-6, sonnet-4-6, opus-4-5, sonnet-4-5, opus-4, sonnet-4, haiku-4-5
- Update model_metadata.py with context lengths for all current models.
- Fix thinking parameter for 4.5+ models: use type='adaptive' instead
of type='enabled' (Anthropic deprecated 'enabled' for newer models,
warns at runtime). Detects model version from the model name string.
Verified live:
hermes model → Anthropic → auto-detected creds → shows 7 live models
hermes chat --provider anthropic --model claude-opus-4-6 → works
Both 'hermes model' and 'hermes setup model' now present a clear
two-option auth flow when no credentials are found:
1. Claude Pro/Max subscription (setup-token)
- Step-by-step instructions to run 'claude setup-token'
- User pastes the resulting sk-ant-oat01-... token
2. Anthropic API key (pay-per-token)
- Link to console.anthropic.com/settings/keys
- User pastes sk-ant-api03-... key
Also handles:
- Auto-detection of existing Claude Code creds (~/.claude/.credentials.json)
- Existing credentials shown with option to update
- Consistent UX between 'hermes model' and 'hermes setup model'
* fix: stop rejecting unlisted models + auto-detect from /models endpoint
validate_requested_model() now accepts models not in the provider's API
listing with a warning instead of blocking. Removes hardcoded catalog
fallback for validation — if API is unreachable, accepts with a warning.
Model selection flows (setup + /model command) now probe the provider's
/models endpoint to get the real available models. Falls back to
hardcoded defaults with a clear warning when auto-detection fails:
'Could not auto-detect models — use Custom model if yours isn't listed.'
Z.AI setup no longer excludes GLM-5 on coding plans.
* fix: use hermes-agent.nousresearch.com as HTTP-Referer for OpenRouter
OpenRouter scrapes the favicon/logo from the HTTP-Referer URL for app
rankings. We were sending the GitHub repo URL, which gives us a generic
GitHub logo. Changed to the proper website URL so our actual branding
shows up in rankings.
Changed in run_agent.py (main agent client) and auxiliary_client.py
(vision/summarization clients).
Feedback fixes:
1. Revert _convert_vision_content — vision is handled by the vision_analyze
tool, not by converting image blocks inline in conversation messages.
Removed the function and its tests.
2. Add Anthropic to 'hermes model' (cmd_model in main.py):
- Added to provider_labels dict
- Added to providers selection list
- Added _model_flow_anthropic() with Claude Code credential auto-detection,
API key prompting, and model selection from catalog.
3. Wire up Anthropic as a vision-capable auxiliary provider:
- Added _try_anthropic() to auxiliary_client.py using claude-sonnet-4
as the vision model (Claude natively supports multimodal)
- Added to the get_vision_auxiliary_client() auto-detection chain
(after OpenRouter/Nous, before Codex/custom)
Cache tracking note: the Anthropic cache metrics branch in run_agent.py
(cache_read_input_tokens / cache_creation_input_tokens) is in the correct
place — it's response-level parsing, same location as the existing
OpenRouter cache tracking. auxiliary_client.py has no cache tracking.
* fix: use session_key instead of chat_id for adapter interrupt lookups
monitor_for_interrupt() in _run_agent was using source.chat_id to query
the adapter's has_pending_interrupt() and get_pending_message() methods.
But the adapter stores interrupt events under build_session_key(source),
which produces a different string (e.g. 'agent:main:telegram:dm' vs '123456').
This key mismatch meant the interrupt was never detected through the
adapter path, which is the only active interrupt path for all adapter-based
platforms (Telegram, Discord, Slack, etc.). The gateway-level interrupt
path (in dispatch_message) is unreachable because the adapter intercepts
the 2nd message in handle_message() before it reaches dispatch_message().
Result: sending a new message while subagents were running had no effect —
the interrupt was silently lost.
Fix: replace all source.chat_id references in the interrupt-related code
within _run_agent() with the session_key parameter, which matches the
adapter's storage keys.
Also adds regression tests verifying session_key vs chat_id consistency.
* debug: add file-based logging to CLI interrupt path
Temporary instrumentation to diagnose why message-based interrupts
don't seem to work during subagent execution. Logs to
~/.hermes/interrupt_debug.log (immune to redirect_stdout).
Two log points:
1. When Enter handler puts message into _interrupt_queue
2. When chat() reads it and calls agent.interrupt()
This will reveal whether the message reaches the queue and
whether the interrupt is actually fired.
* fix: accept unlisted models with warning instead of rejecting
validate_requested_model() previously hard-rejected any model not found
in the provider's API listing. This was too aggressive — users on higher
plan tiers (e.g. Z.AI Pro/Max) may have access to models not shown in
the public listing (like glm-5 on coding endpoints).
Changes:
- validate_requested_model: accept unlisted models with a warning note
instead of blocking. The model is saved to config and used immediately.
- Z.AI setup: always offer glm-5 in the model list regardless of whether
a coding endpoint was detected. Pro/Max plans support it.
- Z.AI setup detection message: softened from 'GLM-5 is not available'
to 'GLM-5 may still be available depending on your plan tier'
* fix: ClawHub skill install — use /download ZIP endpoint
The ClawHub API v1 version endpoint only returns file metadata
(path, size, sha256, contentType) without inline content or download
URLs. Our code was looking for inline content in the metadata, which
never existed, causing all ClawHub installs to fail with:
'no inline/raw file content was available'
Fix: Use the /api/v1/download endpoint (same as the official clawhub
CLI) to download skills as ZIP bundles and extract files in-memory.
Changes:
- Add _download_zip() method that downloads and extracts ZIP bundles
- Retry on 429 rate limiting with Retry-After header support
- Path sanitization and binary file filtering for security
- Keep _extract_files() as a fallback for inline/raw content
- Also fix nested file lookup (version_data.version.files)
* chore: lower default compression threshold from 85% to 50%
Triggers context compression earlier — at 50% of the model's context
window instead of 85%. Updated in all four places where the default
is defined: context_compressor.py, cli.py, run_agent.py, config.py,
and gateway/run.py.
Follow-up to PR #862 (local skills classification by arceus77-7):
- Remove unnecessary isinstance guard on _read_manifest() return value —
it always returns Dict[str, str], so set() on it suffices.
- Extract repeated hub-dir monkeypatching into a shared pytest fixture (hub_env).
- Add three_source_env fixture for source-classification tests.
- Add _read_manifest monkeypatch to test_do_list_initializes_hub_dir
(was fragile — relied on empty skills list masking the real manifest).
- Add test coverage for --source hub and --source builtin filters.
- Extract _capture() helper to reduce console/StringIO boilerplate.
5 tests, all green.
When a dangerous command is detected and the user is prompted for
approval, long commands are truncated (80 chars in fallback, 70 chars
in the TUI). Users had no way to see the full command before deciding.
This adds a 'View full command' option across all approval interfaces:
- CLI fallback (tools/approval.py): [v]iew option in the prompt menu.
Shows the full command and re-prompts for approval decision.
- CLI TUI (cli.py): 'Show full command' choice in the arrow-key
selection panel. Expands the command display in-place and removes
the view option after use.
- CLI callbacks (callbacks.py): 'view' choice added to the list when
the command exceeds 70 characters.
- Gateway (gateway/run.py): 'full', 'show', 'view' responses reveal
the complete command while keeping the approval pending.
Includes 7 new tests covering view-then-approve, view-then-deny,
short command fallthrough, and double-view behavior.
Closes community feedback about the 80-char cap on dangerous commands.
* fix: /reasoning command output ordering, display, and inline think extraction
Three issues with the /reasoning command:
1. Output interleaving: The command echo used print() while feedback
used _cprint(), causing them to render out-of-order under
prompt_toolkit's patch_stdout. Changed echo to use _cprint() so
all output renders through the same path in correct order.
2. Reasoning display not working: /reasoning show toggled a flag
but reasoning never appeared for models that embed thinking in
inline <think> blocks rather than structured API fields. Added
fallback extraction in _build_assistant_message to capture
<think> block content as reasoning when no structured reasoning
fields (reasoning, reasoning_content, reasoning_details) are
present. This feeds into both the reasoning callback (during
tool loops) and the post-response reasoning box display.
3. Feedback clarity: Added checkmarks to confirm actions, persisted
show/hide to config (was session-only before), and aligned the
status display for readability.
Tests: 7 new tests for inline think block extraction (41 total).
* feat: add /reasoning command to gateway (Telegram/Discord/etc)
The /reasoning command only existed in the CLI — messaging platforms
had no way to view or change reasoning settings. This adds:
1. /reasoning command handler in the gateway:
- No args: shows current effort level and display state
- /reasoning <level>: sets reasoning effort (none/low/medium/high/xhigh)
- /reasoning show|hide: toggles reasoning display in responses
- All changes saved to config.yaml immediately
2. Reasoning display in gateway responses:
- When show_reasoning is enabled, prepends a 'Reasoning' block
with the model's last_reasoning content before the response
- Collapses long reasoning (>15 lines) to keep messages readable
- Uses last_reasoning from run_conversation result dict
3. Plumbing:
- Added _show_reasoning attribute loaded from config at startup
- Propagated last_reasoning through _run_agent return dict
- Added /reasoning to help text and known_commands set
- Uses getattr for _show_reasoning to handle test stubs
* fix: improve Kimi model selection — auto-detect endpoint, add missing models
Kimi Coding Plan setup:
- New dedicated _model_flow_kimi() replaces the generic API-key flow
for kimi-coding. Removes the confusing 'Base URL' prompt entirely —
the endpoint is auto-detected from the API key prefix:
sk-kimi-* → api.kimi.com/coding/v1 (Kimi Coding Plan)
other → api.moonshot.ai/v1 (legacy Moonshot)
- Shows appropriate models for each endpoint:
Coding Plan: kimi-for-coding, kimi-k2.5, kimi-k2-thinking, kimi-k2-thinking-turbo
Moonshot: full model catalog
- Clears any stale KIMI_BASE_URL override so runtime auto-detection
via _resolve_kimi_base_url() works correctly.
Model catalog updates:
- Added kimi-for-coding (primary Coding Plan model) and kimi-k2-thinking-turbo
to models.py, main.py _PROVIDER_MODELS, and model_metadata.py context windows.
- Updated User-Agent from KimiCLI/1.0 to KimiCLI/1.3 (Kimi's coding
endpoint whitelists known coding agents via User-Agent sniffing).
Adds --pass-session-id CLI flag. When set, the agent's system prompt
includes the session ID:
Conversation started: Sunday, March 08, 2026 06:32 PM
Session ID: 20260308_183200_abc123
Usage:
hermes --pass-session-id
hermes chat --pass-session-id
Implementation threads the flag as a proper parameter through the full
chain (main.py → cli.py → run_agent.py) rather than using an env var,
avoiding collisions in multi-agent/multitenant setups.
Based on PR #726 by dmahan93, reworked to use instance parameter
instead of HERMES_PASS_SESSION_ID environment variable.
Co-authored-by: dmahan93 <dmahan93@users.noreply.github.com>
curated_models_for_provider() now tries the live API first (via
provider_model_ids) before falling back to static _PROVIDER_MODELS.
This means /model and /provider slash commands show the actual
available models, not a stale hardcoded list.
Also added live Nous Portal model fetching via fetch_nous_models()
in provider_model_ids(), alongside the existing Codex live fetch.
- Update __version__ to 0.2.0 (was 0.1.0)
- Update pyproject.toml to match
- Add RELEASE_v0.2.0.md with comprehensive changelog covering:
- All 231 merged PRs
- 120 resolved issues
- 74+ contributors credited
- Organized by feature area with PR links
- Fix version mismatch: __init__.py had 'v1.0.0', pyproject.toml had '0.1.0'
Now both use '0.1.0' (no v prefix — added in display code only)
- Add __release_date__ for CalVer date tracking alongside SemVer version
- Fix double-v bug in cmd_version (was printing 'vv1.0.0')
- Update banner title to show 'Hermes Agent v0.1.0 (2026.3.12)' format
- Update cli.py banner to match new format
- Add scripts/release.py: full release automation tool
- Generates categorized changelogs from git history
- Maps git authors to GitHub @mentions (70+ contributors)
- Supports dry-run preview and --publish mode
- Creates annotated CalVer git tags + GitHub Releases
- Bumps semver in source files automatically
- Usage: python scripts/release.py --bump minor --publish
- Add .release_notes.md to .gitignore
Versioning scheme: CalVer tags (v2026.3.12) + SemVer display (v0.1.0)
4 test files spawn real processes or make live API calls that hang
indefinitely in batch/CI runs. Skip them with pytestmark:
- tests/tools/test_code_execution.py (subprocess spawns)
- tests/tools/test_file_tools_live.py (live LocalEnvironment)
- tests/test_413_compression.py (blocks on process)
- tests/test_agent_loop_tool_calling.py (live OpenRouter API calls)
Also added global 30s signal.alarm timeout in conftest.py as a safety
net, and removed stale nous-api test that hung on OAuth browser login.
Suite now runs in ~55s with no hangs.
- gateway/run.py: Take main's _resolve_gateway_model() helper
- hermes_cli/setup.py: Re-apply nous-api removal after merge brought
it back. Fix provider_idx offset (Custom is now index 3, not 4).
- tests/hermes_cli/test_setup.py: Fix custom setup test index (3→4)
- Custom endpoints can serve any model, so skip validation for
provider='custom' in validate_requested_model(). Previously it
would reject any model name since there's no static catalog or
live API to check against.
- Show clear setup instructions when switching to custom endpoint
without OPENAI_BASE_URL/OPENAI_API_KEY configured.
- Added curated model lists for Nous Portal and OpenAI Codex to
_PROVIDER_MODELS so /model shows their available models.
Both /model and /provider now show the same unified display:
Current: anthropic/claude-opus-4.6 via OpenRouter
Authenticated providers & models:
[openrouter] ← active
anthropic/claude-opus-4.6 ← current
anthropic/claude-sonnet-4.5
...
[nous]
claude-opus-4-6
gemini-3-flash
...
[openai-codex]
gpt-5.2-codex
gpt-5.1-codex-mini
...
Not configured: Z.AI / GLM, Kimi / Moonshot, ...
Switch model: /model <model-name>
Switch provider: /model <provider>:<model-name>
Example: /model nous:claude-opus-4-6
Users can see all authenticated providers and their models at a glance,
making it easy to switch mid-conversation.
Also added curated model lists for Nous Portal and OpenAI Codex to
hermes_cli/models.py.
Model selection now comes exclusively from config.yaml (set via
'hermes model' or 'hermes setup'). The LLM_MODEL env var is no longer
read or written anywhere in production code.
Why: env vars are per-process/per-user and would conflict in
multi-agent or multi-tenant setups. Config.yaml is file-based and
can be scoped per-user or eventually per-session.
Changes:
- cli.py: Read model from CLI_CONFIG only, not LLM_MODEL/OPENAI_MODEL
- hermes_cli/auth.py: _save_model_choice() no longer writes LLM_MODEL
to .env
- hermes_cli/setup.py: Remove 12 save_env_value('LLM_MODEL', ...)
calls from all provider setup flows
- gateway/run.py: Remove LLM_MODEL fallback (HERMES_MODEL still works
for gateway process runtime)
- cron/scheduler.py: Same
- agent/auxiliary_client.py: Remove LLM_MODEL from custom endpoint
model detection
Add centralized call_llm() and async_call_llm() functions that own the
full LLM request lifecycle:
1. Resolve provider + model from task config or explicit args
2. Get or create a cached client for that provider
3. Format request args (max_tokens handling, provider extra_body)
4. Make the API call with max_tokens/max_completion_tokens retry
5. Return the response
Config: expanded auxiliary section with provider:model slots for all
tasks (compression, vision, web_extract, session_search, skills_hub,
mcp, flush_memories). Config version bumped to 7.
Migrated all auxiliary consumers:
- context_compressor.py: uses call_llm(task='compression')
- vision_tools.py: uses async_call_llm(task='vision')
- web_tools.py: uses async_call_llm(task='web_extract')
- session_search_tool.py: uses async_call_llm(task='session_search')
- browser_tool.py: uses call_llm(task='vision'/'web_extract')
- mcp_tool.py: uses call_llm(task='mcp')
- skills_guard.py: uses call_llm(provider='openrouter')
- run_agent.py flush_memories: uses call_llm(task='flush_memories')
Tests updated for context_compressor and MCP tool. Some test mocks
still need updating (15 remaining failures from mock pattern changes,
2 pre-existing).
When a new user runs 'hermes setup' for the first time and ~/.openclaw/
exists, the wizard now asks if they want to import their OpenClaw data
before API/tool configuration begins.
If accepted, the existing migration script from optional-skills/ is
loaded dynamically and run with the 'full' preset — importing settings,
memories, skills, API keys, and platform configs. Config is reloaded
afterward so imported values (like API keys) are available for the
remaining setup steps.
The migration is only offered on first-time setup (not returning users)
and handles errors gracefully without blocking setup completion.
Closes#829
- Forum parent channel IDs now match free-response list (add a forum
channel ID and all its threads respond without mention)
- Better thread chat names: 'Guild / forum / thread' for forum threads
- Add discord.require_mention and discord.free_response_channels to
config.yaml (bridged to env vars, env vars still override)
- Keep require_mention defaulting to true (safe for shared servers)
Cherry-picked from PR #867 by insecurejezza with default fix and
config.yaml integration.
Co-authored-by: insecurejezza <insecurejezza@users.noreply.github.com>
save_env_value() used bare open('w') which truncates .env immediately.
A crash or OOM kill between truncation and completed write silently
wipes every credential in the file.
Write now goes to a temp file first, then os.replace() swaps it
atomically. Either the old .env exists or the new one does — never
a truncated half-write. Same pattern used in cron/jobs.py.
Cherry-picked from PR #842 by alireza78a, rebased onto current main
with conflict resolution (_secure_file refactor).
Co-authored-by: alireza78a <alireza78a@users.noreply.github.com>
MiniMax APIs (global and China) don't support /v1/models, causing
hermes doctor to always show HTTP 404 even with valid API keys.
Skip the HTTP check for these providers and show '(key configured)'
when the API key is present.
Cherry-picked from PR #822 by Bartok9, rebased onto current main.
Fixes#811
Co-authored-by: Bartok9 <259807879+Bartok9@users.noreply.github.com>
The old flow blindly asked for an OpenRouter API key after ANY non-OR
provider selection, even for Nous Portal and Codex which already
support vision natively. This was confusing and annoying.
New behavior:
- OpenRouter: skip — vision uses Gemini via their OR key
- Nous Portal OAuth: skip — vision uses Gemini via Nous
- OpenAI Codex: skip — gpt-5.3-codex supports vision
- Custom endpoint (api.openai.com): show OpenAI vision model picker
(gpt-4o, gpt-4o-mini, gpt-4.1, etc.), saves AUXILIARY_VISION_MODEL
- Custom (other) / z.ai / kimi / minimax / nous-api:
- First checks if existing OR/Nous creds already cover vision
- If not, offers friendly choice: OpenRouter / OpenAI / Skip
- No more 'enter OpenRouter key' thrown in your face
Also fixes the setup summary to check actual vision availability
across all providers instead of hardcoding 'requires OPENROUTER_API_KEY'.
MoA still correctly requires OpenRouter (calls multiple frontier models).
Post-merge fixes for the email gateway (PR #797):
1. Add Platform.EMAIL to all 4 platform-to-toolset/config mapping
dicts in gateway/run.py. Without this, email sessions silently
fell back to the Telegram toolset because these dicts were added
after the PR branched off main.
2. Add email (and signal) to hermes_cli/tools_config.py and
hermes_cli/skills_config.py PLATFORMS dicts so they appear in
'hermes tools' and 'hermes skills' CLI commands.
3. Add full email setup documentation:
- website/docs/user-guide/messaging/email.md — setup guide with
Gmail/Outlook instructions, configuration, troubleshooting,
security advice, and env var reference
- Update messaging/index.md — add email to architecture diagram,
platform toolset table, security examples, and next steps
Allow users to interact with Hermes by sending and receiving emails.
Uses IMAP polling for incoming messages and SMTP for replies with
proper threading (In-Reply-To, References headers).
Integrates with all 14 gateway extension points: config, adapter
factory, authorization, send_message tool, cron delivery, toolsets,
prompt hints, channel directory, setup wizard, status display, and
env example.
65 tests covering config, parsing, dispatch, threading, IMAP fetch,
SMTP send, attachments, and all integration points.
