* test: make test env hermetic; enforce CI parity via scripts/run_tests.sh
Fixes the recurring 'works locally, fails in CI' (and vice versa) class
of flakes by making tests hermetic and providing a canonical local runner
that matches CI's environment.
## Layer 1 — hermetic conftest.py (tests/conftest.py)
Autouse fixture now unsets every credential-shaped env var before every
test, so developer-local API keys can't leak into tests that assert
'auto-detect provider when key present'.
Pattern: unset any var ending in _API_KEY, _TOKEN, _SECRET, _PASSWORD,
_CREDENTIALS, _ACCESS_KEY, _PRIVATE_KEY, etc. Plus an explicit list of
credential names that don't fit the suffix pattern (AWS_ACCESS_KEY_ID,
FAL_KEY, GH_TOKEN, etc.) and all the provider BASE_URL overrides that
change auto-detect behavior.
Also unsets HERMES_* behavioral vars (HERMES_YOLO_MODE, HERMES_QUIET,
HERMES_SESSION_*, etc.) that mutate agent behavior.
Also:
- Redirects HOME to a per-test tempdir (not just HERMES_HOME), so
code reading ~/.hermes/* directly can't touch the real dir.
- Pins TZ=UTC, LANG=C.UTF-8, LC_ALL=C.UTF-8, PYTHONHASHSEED=0 to
match CI's deterministic runtime.
The old _isolate_hermes_home fixture name is preserved as an alias so
any test that yields it explicitly still works.
## Layer 2 — scripts/run_tests.sh canonical runner
'Always use scripts/run_tests.sh, never call pytest directly' is the
new rule (documented in AGENTS.md). The script:
- Unsets all credential env vars (belt-and-suspenders for callers
who bypass conftest — e.g. IDE integrations)
- Pins TZ/LANG/PYTHONHASHSEED
- Uses -n 4 xdist workers (matches GHA ubuntu-latest; -n auto on
a 20-core workstation surfaces test-ordering flakes CI will never
see, causing the infamous 'passes in CI, fails locally' drift)
- Finds the venv in .venv, venv, or main checkout's venv
- Passes through arbitrary pytest args
Installs pytest-split on demand so the script can also be used to run
matrix-split subsets locally for debugging.
## Remove 3 module-level dotenv stubs that broke test isolation
tests/hermes_cli/test_{arcee,xiaomi,api_key}_provider.py each had a
module-level:
if 'dotenv' not in sys.modules:
fake_dotenv = types.ModuleType('dotenv')
fake_dotenv.load_dotenv = lambda *a, **kw: None
sys.modules['dotenv'] = fake_dotenv
This patches sys.modules['dotenv'] to a fake at import time with no
teardown. Under pytest-xdist LoadScheduling, whichever worker collected
one of these files first poisoned its sys.modules; subsequent tests in
the same worker that imported load_dotenv transitively (e.g.
test_env_loader.py via hermes_cli.env_loader) got the no-op lambda and
saw their assertions fail.
dotenv is a required dependency (python-dotenv>=1.2.1 in pyproject.toml),
so the defensive stub was never needed. Removed.
## Validation
- tests/hermes_cli/ alone: 2178 passed, 1 skipped, 0 failed (was 4
failures in test_env_loader.py before this fix)
- tests/test_plugin_skills.py, tests/hermes_cli/test_plugins.py,
tests/test_hermes_logging.py combined: 123 passed (the caplog
regression tests from PR #11453 still pass)
- Local full run shows no F/E clusters in the 0-55% range that were
previously present before the conftest hardening
## Background
See AGENTS.md 'Testing' section for the full list of drift sources
this closes. Matrix split (closed as #11566) will be re-attempted
once this foundation lands — cross-test pollution was the root cause
of the shard-3 hang in that PR.
* fix(conftest): don't redirect HOME — it broke CI subprocesses
PR #11577's autouse fixture was setting HOME to a per-test tempdir.
CI started timing out at 97% complete with dozens of E/F markers and
orphan python processes at cleanup — tests (or transitive deps)
spawn subprocesses that expect a stable HOME, and the redirect broke
them in non-obvious ways.
Env-var unsetting and TZ/LANG/hashseed pinning (the actual CI-drift
fixes) are unchanged and still in place. HERMES_HOME redirection is
also unchanged — that's the canonical way to isolate tests from
~/.hermes/, not HOME.
Any code in the codebase reading ~/.hermes/* via `Path.home() / ".hermes"`
instead of `get_hermes_home()` is a bug to fix at the callsite, not
something to paper over in conftest.
"PT" was internal shorthand for prompt_toolkit that leaked into
AGENTS.md and the TUI post-mortem. Spell it out.
- AGENTS.md: "PT CLI" → "classic (prompt_toolkit) CLI"
- docs/plans/2026-04-01-ink-gateway-tui-migration-plan.md: both hits
"Ink" is the React reconciler — implementation detail, not branding.
Consistent naming: the classic CLI is the CLI, the new one is the TUI.
Updated docs: user-guide/tui.md, user-guide/cli.md cross-link, quickstart,
cli-commands reference, environment-variables reference.
Updated code: main.py --tui help text, server.py user-visible setup
error, AGENTS.md "TUI Architecture" section.
Kept "Ink" only where it is literally the library (hermes-ink internal
source comments, AGENTS.md tree note flagging ui-tui/ as a React/Ink dir).
- Rename platform from 'qq' to 'qqbot' across all integration points
(Platform enum, toolset, config keys, import paths, file rename qq.py → qqbot.py)
- Add PLATFORM_HINTS for QQBot in prompt_builder (QQ supports markdown)
- Set SUPPORTS_MESSAGE_EDITING = False to skip streaming on QQ
(prevents duplicate messages from non-editable partial + final sends)
- Add _send_qqbot() standalone send function for cron/send_message tool
- Add interactive _setup_qq() wizard in hermes_cli/setup.py
- Restore missing _setup_signal/email/sms/dingtalk/feishu/wecom/wecom_callback
functions that were lost during the original merge
The check_interval parameter on terminal_tool sent periodic output
updates to the gateway chat, but these were display-only — the agent
couldn't see or act on them. This added schema bloat and introduced
a bug where notify_on_complete=True was silently dropped when
check_interval was also set (the not-check_interval guard skipped
fast-watcher registration, and the check_interval watcher dict
was missing the notify_on_complete key).
Removing check_interval entirely:
- Eliminates the notify_on_complete interaction bug
- Reduces tool schema size (one fewer parameter for the model)
- Simplifies the watcher registration path
- notify_on_complete (agent wake-on-completion) still works
- watch_patterns (output alerting) still works
- process(action='poll') covers manual status checking
Closes#7947 (root cause eliminated rather than patched).
* feat: config-gated /verbose command for messaging gateway
Add gateway_config_gate field to CommandDef, allowing cli_only commands
to be conditionally available in the gateway based on a config value.
- CommandDef gains gateway_config_gate: str | None — a config dotpath
that, when truthy, overrides cli_only for gateway surfaces
- /verbose uses gateway_config_gate='display.tool_progress_command'
- Default is off (cli_only behavior preserved)
- When enabled, /verbose cycles tool_progress mode (off/new/all/verbose)
in the gateway, saving to config.yaml — same cycle as the CLI
- Gateway helpers (help, telegram menus, slack mapping) dynamically
check config to include/exclude config-gated commands
- GATEWAY_KNOWN_COMMANDS always includes config-gated commands so
the gateway recognizes them and can respond appropriately
- Handles YAML 1.1 bool coercion (bare 'off' parses as False)
- 8 new tests for the config gate mechanism + gateway handler
* docs: document gateway_config_gate and /verbose messaging support
- AGENTS.md: add gateway_config_gate to CommandDef fields
- slash-commands.md: note /verbose can be enabled for messaging, update Notes
- configuration.md: add tool_progress_command to display section + usage note
- cli.md: cross-link to config docs for messaging enablement
- messaging/index.md: show tool_progress_command in config snippet
- plugins.md: add gateway_config_gate to register_command parameter table
Documents the full /model command overhaul across 6 files:
AGENTS.md:
- Add model_switch.py to project structure tree
configuration.md:
- Rewrite General Setup with 3 config methods (interactive, config.yaml, env vars)
- Add new 'Switching Models with /model' section documenting all syntax variants
- Add 'Named Custom Providers' section with config.yaml examples and
custom:name:model triple syntax
slash-commands.md:
- Update /model descriptions in both CLI and messaging tables with
full syntax examples (provider:model, custom:model, custom:name:model,
bare custom auto-detect)
cli-commands.md:
- Add /model slash command subsection under hermes model with syntax table
- Add custom endpoint config to hermes model use cases
faq.md:
- Add config.yaml example for offline/local model setup
- Note that provider: custom is a first-class provider
- Document /model custom auto-detect
provider-runtime.md:
- Add model_switch.py to implementation file list
- Update provider families to show Custom as first-class with named variants
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>
The install script creates venv/ but several docs referenced .venv/,
causing agents to fail with 'No such file or directory' when following
AGENTS.md instructions.
Fixes#2066
* fix: prevent unavailable tool names from leaking into model schemas
When web_search/web_extract fail check_fn (no API key configured), their
names were still leaking into tool descriptions via two paths:
1. execute_code schema: sandbox_enabled was computed from tools_to_include
(pre-filter) instead of the actual available tools (post-filter), so
the execute_code description listed web_search/web_extract as available
sandbox imports even when they weren't.
2. browser_navigate schema: hardcoded description said 'prefer web_search
or web_extract' regardless of whether those tools existed.
The model saw these references, assumed the tools existed, and tried
calling them directly — triggering 'Unknown tool' errors.
Fix: compute available_tool_names from the filtered result set and use
that for both execute_code sandbox listing and browser_navigate description
patching.
* docs: add pitfall about cross-tool references in schema descriptions
---------
Co-authored-by: Test <test@test.com>
Save and restore the process-global _last_resolved_tool_names in
_run_single_child() so the parent's execute_code sandbox generates
correct tool imports after delegation completes.
The global was already mostly mitigated (run_agent.py passes
enabled_tools via self.valid_tool_names), but the global itself
remained corrupted — a footgun for any code that reads it directly.
Co-authored-by: shane9coy <shane9coy@users.noreply.github.com>
* 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>
* 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
- 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
Add display.background_process_notifications config option to control
how chatty the gateway process watcher is when using
terminal(background=true, check_interval=...) from messaging platforms.
Modes:
- all: running-output updates + final message (default, current behavior)
- result: only the final completion message
- error: only the final message when exit code != 0
- off: no watcher messages at all
Also supports HERMES_BACKGROUND_NOTIFICATIONS env var override.
Includes 12 tests (5 config loading + 7 watcher behavior).
Inspired by @PeterFile's PR #593. Closes#592.
- AGENTS.md: add Skin/Theme System section with architecture, skinnable
elements table, built-in skins list, adding built-in/user skins guide,
YAML example; add skin_engine.py to project structure; mention skin
engine in CLI Architecture section
- CONTRIBUTING.md: add skin_engine.py to project structure; add 'Adding
a Skin/Theme' section with YAML schema, activation instructions
- cli-config.yaml.example: add full skin config documentation with
schema reference, built-in skins list, all color/spinner/branding keys
- docs/skins/example-skin.yaml: complete annotated skin template with
all available fields and inline documentation
- hermes_cli/skin_engine.py: expand module docstring to full schema
reference with all fields documented, usage examples, built-in skins
list
AGENTS.md is read by AI agents in their context window. Every line
costs tokens. The previous version had grown to 927 lines with
user-facing documentation that duplicates website/docs/:
Removed (belongs in website/docs/, not agent context):
- Full CLI commands table (50 lines)
- Full gateway slash commands list (20 lines)
- Messaging gateway setup, config examples, security details
- DM pairing system details
- Event hooks format and examples
- Tool progress notification details
- Full environment variables reference
- Auxiliary model configuration section (60 lines)
- Background process management details
- Trajectory format details
- Batch processing CLI usage
- Skills system directory tree and hub details
- Dangerous command approval flow details
- Platform toolsets listing
Kept (essential for agents modifying code):
- Project structure (condensed to key files only)
- File dependency chain
- AIAgent class signature and loop mechanics
- How to add tools (3 files, full pattern)
- How to add config (config.yaml + .env patterns)
- How to add CLI commands
- Config loader table (two separate systems)
- Prompt caching policy (critical constraint)
- All known pitfalls
- Test commands
New browser capabilities and a built-in skill for agent-driven web QA.
## New tool: browser_console
Returns console messages (log/warn/error/info) AND uncaught JavaScript
exceptions in a single call. Uses agent-browser's 'console' and 'errors'
commands through the existing session plumbing. Supports --clear to reset
buffers. Verified working in both local and Browserbase cloud modes.
## Enhanced tool: browser_vision(annotate=True)
New boolean parameter on browser_vision. When true, agent-browser overlays
numbered [N] labels on interactive elements — each [N] maps to ref @eN.
Annotation data (element name, role, bounding box) returned alongside the
vision analysis. Useful for QA reports and spatial reasoning.
## Config: browser.record_sessions
Auto-record browser sessions as WebM video files when enabled:
- Starts recording on first browser_navigate
- Stops and saves on browser_close
- Saves to ~/.hermes/browser_recordings/
- Works in both local and cloud modes (verified)
- Disabled by default
## Built-in skill: dogfood
Systematic exploratory QA testing for web applications. Teaches the agent
a 5-phase workflow:
1. Plan — accept URL, create output dirs, set scope
2. Explore — systematic crawl with annotated screenshots
3. Collect Evidence — screenshots, console errors, JS exceptions
4. Categorize — severity (Critical/High/Medium/Low) and category
(Functional/Visual/Accessibility/Console/UX/Content)
5. Report — structured markdown with per-issue evidence
Includes:
- skills/dogfood/SKILL.md — full workflow instructions
- skills/dogfood/references/issue-taxonomy.md — severity/category defs
- skills/dogfood/templates/dogfood-report-template.md — report template
## Tests
21 new tests covering:
- browser_console message/error parsing, clear flag, empty/failed states
- browser_console schema registration
- browser_vision annotate schema and flag passing
- record_sessions config defaults and recording lifecycle
- Dogfood skill file existence and content validation
Addresses #315.
- website/docs/user-guide/messaging/signal.md: Full setup guide with
prerequisites, step-by-step instructions, access policies, features,
troubleshooting, security notes, and env var reference
- website/docs/user-guide/messaging/index.md: Added Signal to architecture
diagram, platform toolset table, security examples, and Next Steps links
- website/docs/reference/environment-variables.md: All 7 SIGNAL_* env vars
- README.md: Signal in feature table and documentation table
- AGENTS.md: Signal in gateway description and env var config section
The 'openai' provider was redundant — using OPENAI_BASE_URL +
OPENAI_API_KEY with provider: 'main' already covers direct OpenAI API.
Provider options are now: auto, openrouter, nous, codex, main.
- Removed _try_openai(), _OPENAI_AUX_MODEL, _OPENAI_BASE_URL
- Replaced openai tests with codex provider tests
- Updated all docs to remove 'openai' option and clarify 'main'
- 'main' description now explicitly mentions it works with OpenAI API,
local models, and any OpenAI-compatible endpoint
Tests: 2467 passed.
Users can now set provider: "openai" for auxiliary tasks (vision, web
extract, compression) to use OpenAI's API directly with their
OPENAI_API_KEY. This hits api.openai.com/v1 with gpt-4o-mini as the
default model — supports vision since GPT-4o handles image input.
Provider options are now: auto, openrouter, nous, openai, main.
Changes:
- agent/auxiliary_client.py: added _try_openai(), "openai" case in
_resolve_forced_provider(), updated auxiliary_max_tokens_param()
to use max_completion_tokens for OpenAI
- Updated docs: cli-config.yaml.example, AGENTS.md, and user-facing
configuration.md with Common Setups section showing OpenAI,
OpenRouter, and local model examples
- 3 new tests for OpenAI provider resolution
Tests: 2459 passed (was 2429).
Clear how-to documentation for changing the vision model, web extraction
model, and compression model. Includes config.yaml examples, env var
alternatives, provider options table, and multimodal safety notes.
Improvements on top of PR #606 (auxiliary model configuration):
1. Gateway bridge: Added auxiliary.* and compression.summary_provider
config bridging to gateway/run.py so config.yaml settings work from
messaging platforms (not just CLI). Matches the pattern in cli.py.
2. Vision auto-fallback safety: In auto mode, vision now only tries
OpenRouter + Nous Portal (known multimodal-capable providers).
Custom endpoints, Codex, and API-key providers are skipped to avoid
confusing errors from providers that don't support vision input.
Explicit provider override (AUXILIARY_VISION_PROVIDER=main) still
allows using any provider.
3. Comprehensive tests (46 new):
- _get_auxiliary_provider env var resolution (8 tests)
- _resolve_forced_provider with all provider types (8 tests)
- Per-task provider routing integration (4 tests)
- Vision auto-fallback safety (7 tests)
- Config bridging logic (11 tests)
- Gateway/CLI bridge parity (2 tests)
- Vision model override via env var (2 tests)
- DEFAULT_CONFIG shape validation (4 tests)
4. Docs: Added auxiliary_client.py to AGENTS.md project structure.
Updated module docstring with separate text/vision resolution chains.
Tests: 2429 passed (was 2383).
- sessions.md: New 'Conversation Recap on Resume' subsection with visual
example, feature bullet points, and config snippet
- cli.md: New 'Session Resume Display' subsection with cross-reference
- configuration.md: Add resume_display to display settings YAML block
- AGENTS.md: Add _preload_resumed_session() and _display_resumed_history()
to key components, add UX note about resume panel
- website/docs/user-guide/sessions.md: New 'Session Naming' section
with /title usage, title rules, auto-lineage, gateway support.
Updated 'Resume by Name' section, 'Rename a Session' subsection,
updated sessions list output format, updated DB schema description.
- website/docs/reference/cli-commands.md: Added -c "name" and
--resume by title to Core Commands, sessions rename to Sessions
table, /title to slash commands.
- website/docs/user-guide/cli.md: Added -c "name" and --resume by
title to resume options.
- AGENTS.md: Added -c, --resume, sessions list/rename to CLI commands
table. Added hermes_state.py to project structure.
- CONTRIBUTING.md: Updated hermes_state.py and session persistence
descriptions to mention titles.
- hermes_cli/main.py: Fixed sessions help string to include 'rename'.
Critical fixes:
- Add --worktree/-w to hermes_cli/main.py argparse (both chat
subcommand and top-level parser) so 'hermes -w' works via the
actual CLI entry point, not just 'python cli.py -w'
- Pass worktree flag through cmd_chat() kwargs to cli_main()
- Handle worktree attr in bare 'hermes' and --resume/--continue paths
Bug fixes in cli.py:
- Skip worktree creation for --list-tools/--list-toolsets (wasteful)
- Wrap git worktree subprocess.run in try/except (crash on timeout)
- Add stale worktree pruning on startup (_prune_stale_worktrees):
removes clean worktrees older than 24h left by crashed/killed sessions
Documentation updates:
- AGENTS.md: add --worktree to CLI commands table
- cli-config.yaml.example: add worktree config section
- website/docs/reference/cli-commands.md: add to core commands
- website/docs/user-guide/cli.md: add usage examples
- website/docs/user-guide/configuration.md: add config docs
Test improvements (17 → 31 tests):
- Stale worktree pruning (prune old clean, keep recent, keep dirty)
- Directory symlink via .worktreeinclude
- Edge cases (no commits, not a repo, pre-existing .worktrees/)
- CLI flag/config OR logic
- TERMINAL_CWD integration
- System prompt injection format
Updated the default model version from "anthropic/claude-sonnet-4-20250514" to "anthropic/claude-sonnet-4.6" across multiple files including AGENTS.md, batch_runner.py, mini_swe_runner.py, and run_agent.py for consistency and to reflect the latest model improvements.
Add a 'platforms' field to SKILL.md frontmatter that restricts skills
to specific operating systems. Skills with platforms: [macos] only
appear in the system prompt, skills_list(), and slash commands on macOS.
Skills without the field load everywhere (backward compatible).
Implementation:
- skill_matches_platform() in tools/skills_tool.py — core filter
- Wired into all 3 discovery paths: prompt_builder.py, skills_tool.py,
skill_commands.py
- 28 new tests across 3 test files
New bundled Apple/macOS skills (all platforms: [macos]):
- imessage — Send/receive iMessages via imsg CLI
- apple-reminders — Manage Reminders via remindctl CLI
- apple-notes — Manage Notes via memo CLI
- findmy — Track devices/AirTags via AppleScript + screen capture
Docs updated: CONTRIBUTING.md, AGENTS.md, creating-skills.md,
skills.md (user guide)
Adds optional FIRECRAWL_API_URL environment variable to support
self-hosted Firecrawl deployments alongside the cloud service.
- Add FIRECRAWL_API_URL to optional env vars in hermes_cli/config.py
- Update _get_firecrawl_client() in tools/web_tools.py to accept custom API URL
- Add tests for client initialization with/without URL
- Document new env var in installation and config guides
Enhanced documentation to reflect the new interactive setup command for configuring messaging platforms (Telegram, Discord, Slack, WhatsApp). Updated sections in AGENTS.md, README.md, and messaging.md to provide clear instructions on using the 'hermes gateway setup' command, improving user experience and accessibility for platform configuration.
