Cron jobs like nightwatch-health-monitor SSH into remote VPSes.
When the runtime provider is cloud (Nous, OpenRouter, Anthropic),
SSH keys don't exist on the inference server — causing silent
failures and wasted iterations.
Changes:
- cron/scheduler.py: Import is_local_endpoint from model_metadata.
Build disabled_toolsets dynamically: append 'terminal' when the
runtime base_url is NOT a local endpoint. Log when terminal is
disabled for observability. Also warn when a job declares
requires_local_infra=true but runs on cloud.
- tests/test_cron_cloud_terminal.py: 14 tests verifying
is_local_endpoint classification and disabled_toolsets logic.
Behavior:
Local (localhost/127/RFC-1918): terminal enabled, SSH works.
Cloud (openrouter/nous/anthropic): terminal disabled, agent
reports SSH unavailable instead of wasting iterations.
Closes#379
Empirical audit: cron error rate peaks at 18:00 (9.4%) vs 4.0% at 09:00.
During configured high-error windows, automatically route cron jobs to
more capable models when the user is not present to correct errors.
- agent/smart_model_routing.py: resolve_cron_model() + _hour_in_window()
- cron/scheduler.py: wired into run_job() after base model resolution
- tests/test_cron_model_routing.py: 16 tests
Config:
cron_model_routing:
enabled: true
fallback_model: "anthropic/claude-sonnet-4"
fallback_provider: "openrouter"
windows:
- {start_hour: 17, end_hour: 22, reason: evening_error_peak}
- {start_hour: 2, end_hour: 5, reason: overnight_api_instability}
Features: midnight-wrap, per-window overrides, first-match-wins,
graceful degradation on malformed config.
Closes#317
When users blank fallback_model fields or set enabled: false, the validation
and gateway now treat this as intentionally disabling fallback instead of
showing warnings.
Changes:
- hermes_cli/config.py: Skip warnings when both provider and model are blank
or when enabled: false is set
- gateway/run.py: Return None for disabled fallback configs
- tests: Added 8 new tests for blank/disabled fallback scenarios
Behavior:
- Both fields blank: no warnings (intentional disable)
- enabled: false: no warnings (explicit disable)
- One field blank: warning shown (likely misconfiguration)
- Valid config: no warnings
Fixes#373
- Expand validate_config_structure() to catch:
- fallback_providers format errors (non-list, missing provider/model)
- session_reset.idle_minutes <= 0 (causes immediate resets)
- session_reset.at_hour out of 0-23 range
- API_SERVER enabled without API_SERVER_KEY
- Unknown root-level keys that look like misplaced custom_providers fields
- Add _validate_fallback_providers() in gateway/config.py to validate
fallback chain at gateway startup (logs warnings for malformed entries)
- Add API_SERVER_KEY check in gateway config loader (warns on unauthenticated endpoint)
- Expand _KNOWN_ROOT_KEYS to include all valid top-level config sections
(session_reset, browser, checkpoints, voice, stt, tts, etc.)
- Add 13 new tests for fallback_providers and session_reset validation
- All existing tests pass (47/47)
Closes#328
Fixes#297
Problem: Tool handlers that return dict/list/None instead of a
JSON string crash the agent loop with cryptic errors. No error
proofing at the boundary.
Fix: In handle_function_call(), after dispatch returns:
1. If result is not str → wrap in JSON with _type_warning
2. If result is str but not valid JSON → wrap in {"output": ...}
3. Log type violations for analysis
4. Valid JSON strings pass through unchanged
Tests: 4 new tests (dict, None, non-JSON string, valid JSON).
All 16 tests in test_model_tools.py pass.
Fixes#313
Problem: MemoryStore.replace() and .remove() return
{"success": false, "error": "No entry matched..."} when the
search substring is not found. This is a valid outcome, not
an error. The empirical audit showed 58.4% error rate on the
memory tool, but 98.4% of those were just empty search results.
Fix: Return {"success": true, "result": "no_match", "message": ...}
instead. This drops the memory tool error rate from ~58% to ~1%.
Tests updated: test_replace_no_match and test_remove_no_match
now assert success=True with result="no_match".
All 33 memory tool tests pass.
Fixes#351
Root cause: cron jobs with a per-job model override (e.g. `gemma4:latest`,
8K context) were only discovered to be incompatible at agent runtime,
causing a hard ValueError on every tick with no automatic recovery.
Changes:
- Add `CRON_MIN_CONTEXT_TOKENS = 64_000` constant to scheduler.py
- Add `ModelContextError(ValueError)` exception class for typed identification
- Add `_check_model_context_compat()` preflight function that calls
`get_model_context_length()` and raises `ModelContextError` if the
resolved model's context is below the minimum
- Call preflight check in `run_job()` after model resolution, before
`AIAgent()` is instantiated
- In `_process_single_job()` inside `tick()`, catch `ModelContextError`
and call `pause_job()` to auto-pause the offending job — it will no
longer fire on every tick until the operator fixes the config
- Honour `model.context_length` in config.yaml as an explicit override
that bypasses the check (operator accepts responsibility)
- If context detection itself fails (network/import error), log a warning
and allow the job to proceed (fail-open) so detection gaps don't block
otherwise-working jobs
- Fix pre-existing IndentationError in `tick()` result loop (missing
`try:` block introduced in #353 parallel-execution refactor)
- Export `ModelContextError` and `CRON_MIN_CONTEXT_TOKENS` from `cron/__init__.py`
- Add 8 new tests covering all branches of `_check_model_context_compat`
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When the installed run_agent.py diverges from what scheduler.py expects,
every cron job fails with TypeError on AIAgent.__init__() — a silent total
outage that cascades into gateway restarts, asyncio shutdown errors, and
auth token expiry.
This commit adds a _validate_agent_interface() guard that:
- Inspects AIAgent.__init__ at runtime via inspect.signature
- Verifies every kwarg the scheduler passes exists in the constructor
- Fails fast with a clear remediation message on mismatch
- Runs once per gateway process (cached, zero per-job overhead)
The guard is called at the top of run_job() before any work begins.
It would have caught the tool_choice TypeError that caused 1,199 failures
across 55 jobs (meta-issue #343).
Includes 3 tests: pass, fail, and cache verification.
* feat: switch managed browser provider from Browserbase to Browser Use
The Nous subscription tool gateway now routes browser automation through
Browser Use instead of Browserbase. This commit:
- Adds managed Nous gateway support to BrowserUseProvider (idempotency
keys, X-BB-API-Key auth header, external_call_id persistence)
- Removes managed gateway support from BrowserbaseProvider (now
direct-only via BROWSERBASE_API_KEY/BROWSERBASE_PROJECT_ID)
- Updates browser_tool.py fallback: prefers Browser Use over Browserbase
- Updates nous_subscription.py: gateway vendor 'browser-use', auto-config
sets cloud_provider='browser-use' for new subscribers
- Updates tools_config.py: Nous Subscription entry now uses Browser Use
- Updates setup.py, cli.py, status.py, prompt_builder.py display strings
- Updates all affected tests to match new behavior
Browserbase remains fully functional for users with direct API credentials.
The change only affects the managed/subscription path.
* chore: remove redundant Browser Use hint from system prompt
* fix: upgrade Browser Use provider to v3 API
- Base URL: api/v2 -> api/v3 (v2 is legacy)
- Unified all endpoints to use native Browser Use paths:
- POST /browsers (create session, returns cdpUrl)
- PATCH /browsers/{id} with {action: stop} (close session)
- Removed managed-mode branching that used Browserbase-style
/v1/sessions paths — v3 gateway now supports /browsers directly
- Removed unused managed_mode variable in close_session
* fix(browser-use): use X-Browser-Use-API-Key header for managed mode
The managed gateway expects X-Browser-Use-API-Key, not X-BB-API-Key
(which is a Browserbase-specific header). Using the wrong header caused
a 401 AUTH_ERROR on every managed-mode browser session create.
Simplified _headers() to always use X-Browser-Use-API-Key regardless
of direct vs managed mode.
* fix(nous_subscription): browserbase explicit provider is direct-only
Since managed Nous gateway now routes through Browser Use, the
browserbase explicit provider path should not check managed_browser_available
(which resolves against the browser-use gateway). Simplified to direct-only
with managed=False.
* fix(browser-use): port missing improvements from PR #5605
- CDP URL normalization: resolve HTTP discovery URLs to websocket after
cloud provider create_session() (prevents agent-browser failures)
- Managed session payload: send timeout=5 and proxyCountryCode=us for
gateway-backed sessions (prevents billing overruns)
- Update prompt builder, browser_close schema, and module docstring to
replace remaining Browserbase references with Browser Use
- Dynamic /browser status detection via _get_cloud_provider() instead
of hardcoded env var checks (future-proof for new providers)
- Rename post_setup key from 'browserbase' to 'agent_browser'
- Update setup hint to mention Browser Use alongside Browserbase
- Add tests: CDP normalization, browserbase direct-only guard,
managed browser-use gateway, direct browserbase fallback
---------
Co-authored-by: rob-maron <132852777+rob-maron@users.noreply.github.com>
* refactor: remove browser_close tool — auto-cleanup handles it
The browser_close tool was called in only 9% of browser sessions (13/144
navigations across 66 sessions), always redundantly — cleanup_browser()
already runs via _cleanup_task_resources() at conversation end, and the
background inactivity reaper catches anything else.
Removing it saves one tool schema slot in every browser-enabled API call.
Also fixes a latent bug: cleanup_browser() now handles Camofox sessions
too (previously only Browserbase). Camofox sessions were never auto-cleaned
per-task because they live in a separate dict from _active_sessions.
Files changed (13):
- tools/browser_tool.py: remove function, schema, registry entry; add
camofox cleanup to cleanup_browser()
- toolsets.py, model_tools.py, prompt_builder.py, display.py,
acp_adapter/tools.py: remove browser_close from all tool lists
- tests/: remove browser_close test, update toolset assertion
- docs/skills: remove all browser_close references
* fix: repeat browser_scroll 5x per call for meaningful page movement
Most backends scroll ~100px per call — barely visible on a typical
viewport. Repeating 5x gives ~500px (~half a viewport), making each
scroll tool call actually useful.
Backend-agnostic approach: works across all 7+ browser backends without
needing to configure each one's scroll amount individually. Breaks
early on error for the agent-browser path.
* feat: auto-return compact snapshot from browser_navigate
Every browser session starts with navigate → snapshot. Now navigate
returns the compact accessibility tree snapshot inline, saving one
tool call per browser task.
The snapshot captures the full page DOM (not viewport-limited), so
scroll position doesn't affect it. browser_snapshot remains available
for refreshing after interactions or getting full=true content.
Both Browserbase and Camofox paths auto-snapshot. If the snapshot
fails for any reason, navigation still succeeds — the snapshot is
a bonus, not a requirement.
Schema descriptions updated to guide models: navigate mentions it
returns a snapshot, snapshot mentions it's for refresh/full content.
* refactor: slim cronjob tool schema — consolidate model/provider, drop unused params
Session data (151 calls across 67 sessions) showed several schema
properties were never used by models. Consolidated and cleaned up:
Removed from schema (still work via backend/CLI):
- skill (singular): use skills array instead
- reason: pause-only, unnecessary
- include_disabled: now defaults to true
- base_url: extreme edge case, zero usage
- provider (standalone): merged into model object
Consolidated:
- model + provider → single 'model' object with {model, provider} fields.
If provider is omitted, the current main provider is pinned at creation
time so the job stays stable even if the user changes their default.
Kept:
- script: useful data collection feature
- skills array: standard interface for skill loading
Schema shrinks from 14 to 10 properties. All backend functionality
preserved — the Python function signature and handler lambda still
accept every parameter.
* fix: remove mixture_of_agents from core toolsets — opt-in only via hermes tools
MoA was in _HERMES_CORE_TOOLS and composite toolsets (hermes-cli,
hermes-messaging, safe), which meant it appeared in every session
for anyone with OPENROUTER_API_KEY set. The _DEFAULT_OFF_TOOLSETS
gate only works after running 'hermes tools' explicitly.
Now MoA only appears when a user explicitly enables it via
'hermes tools'. The moa toolset definition and check_fn remain
unchanged — it just needs to be opted into.
* feat: notify_on_complete for background processes
When terminal(background=true, notify_on_complete=true), the system
auto-triggers a new agent turn when the process exits — no polling needed.
Changes:
- ProcessSession: add notify_on_complete field
- ProcessRegistry: add completion_queue, populate on _move_to_finished()
- Terminal tool: add notify_on_complete parameter to schema + handler
- CLI: drain completion_queue after agent turn AND during idle loop
- Gateway: enhanced _run_process_watcher injects synthetic MessageEvent
on completion, triggering a full agent turn
- Checkpoint persistence includes notify_on_complete for crash recovery
- code_execution_tool: block notify_on_complete in sandbox scripts
- 15 new tests covering queue mechanics, checkpoint round-trip, schema
* docs: update terminal tool descriptions for notify_on_complete
- background: remove 'ONLY for servers' language, describe both patterns
(long-lived processes AND long-running tasks with notify_on_complete)
- notify_on_complete: more prescriptive about when to use it
- TERMINAL_TOOL_DESCRIPTION: remove 'Do NOT use background for builds'
guidance that contradicted the new feature
* fix(gateway): /stop and /new bypass Level 1 active-session guard
The base adapter's Level 1 guard intercepted ALL messages while an
agent was running, including /stop and /new. These commands were queued
as pending messages instead of being dispatched to the gateway runner's
Level 2 handler. When the agent eventually stopped (via the interrupt
mechanism), the command text leaked into the conversation as a user
message — the model would receive '/stop' as input and respond to it.
Fix: Add /stop, /new, and /reset to the bypass set in base.py alongside
/approve, /deny, and /status. Consolidate the three separate bypass
blocks into one. Commands in the bypass set are dispatched inline to the
gateway runner, where Level 2 handles them correctly (hard-kill for
/stop, session reset for /new).
Also add a safety net in _run_agent's pending-message processing: if the
pending text resolves to a known slash command, discard it instead of
passing it to the agent. This catches edge cases where command text
leaks through the interrupt_message fallback.
Refs: #5244
* test: regression tests for command bypass of active-session guard
17 tests covering:
- /stop, /new, /reset bypass the Level 1 guard when agent is running
- /approve, /deny, /status bypass (existing behavior, now tested)
- Regular text and unknown commands still queued (not bypassed)
- File paths like '/path/to/file' not treated as commands
- Telegram @botname suffix handled correctly
- Safety net command resolution (resolve_command detects known commands)
The credential pool seeder and runtime credential resolver hardcoded
api.z.ai/api/paas/v4 for all Z.AI keys. Keys on the Coding Plan (or CN
endpoint) would hit the wrong endpoint, causing 401/429 errors on the
first request even though a working endpoint exists.
Add _resolve_zai_base_url() that:
- Respects GLM_BASE_URL env var (no probe when explicitly set)
- Probes all candidate endpoints (global, cn, coding-global, coding-cn)
via detect_zai_endpoint() to find one that returns HTTP 200
- Caches the detected endpoint in provider state (auth.json) keyed on
a SHA-256 hash of the API key so subsequent starts skip the probe
- Falls back to the default URL if all probes fail
Wire into both _seed_from_env() in the credential pool and
resolve_api_key_provider_credentials() in the runtime resolver,
matching the pattern from the kimi-coding fix (PR #5566).
Fixes the same class of bug as #5561 but for the zai provider.
When resolve_runtime_provider is called with requested='auto' and
auth.json has a stale active_provider (nous or openai-codex) whose
OAuth refresh token has been revoked, the AuthError now falls through
to the next provider in the chain (e.g. OpenRouter via env vars)
instead of propagating to the user as a blocking error.
When the user explicitly requested the OAuth provider, the error
still propagates so they know to re-authenticate.
Root cause: resolve_provider('auto') checks auth.json for an active
OAuth provider before checking env vars. get_nous_auth_status()
reports logged_in=True if any access_token exists (even expired),
so the Nous path is taken. resolve_nous_runtime_credentials() then
tries to refresh the token, fails with 'Refresh session has been
revoked', and the AuthError bubbles up to the CLI bold-red display.
Adds 3 tests: Nous fallthrough, Codex fallthrough, explicit-request
still raises.
Cherry-picked from PR #5580 by MestreY0d4-Uninter.
- Share parent's credential pool with child agents for key rotation
- Leasing layer spreads parallel children across keys (least-loaded)
- Thread-safe acquire_lease/release_lease in CredentialPool
- Reverted sneaked-in tool-name restoration change (kept original
getattr + isinstance guard pattern)
When streaming was enabled on the gateway, the stream consumer created a
single message at the start and kept editing it as tokens arrived. Tool
progress messages were sent as separate messages below it. Since edits
don't change message position on Telegram/Matrix/Discord, the final
response ended up stuck above all tool progress messages — users had to
scroll up past potentially dozens of tool call lines to read the answer.
The agent already sends stream_delta_callback(None) at tool boundaries
(before _execute_tool_calls). The stream consumer was ignoring this
signal. Now it treats None as a segment break: finalizes the current
message (removes cursor), resets _message_id, and the next text chunk
creates a fresh message below the tool progress messages.
Timeline before:
[msg 1: 'Let me search...' → edits → 'Here is the answer'] ← top
[msg 2: tool progress lines] ← bottom
Timeline after:
[msg 1: 'Let me search...'] ← top
[msg 2: tool progress lines]
[msg 3: 'Here is the answer'] ← bottom (visible)
Reported by SkyLinx on Discord.
When a user replies in a Slack thread where the bot has an active
conversation session, the bot now processes the message even without
an explicit @mention. This improves UX for ongoing threaded
discussions.
Changes:
- Added set_session_store() to BasePlatformAdapter for adapters to
check active sessions
- Modified SlackAdapter to detect thread replies and check if a
session exists for that thread before requiring @mentions
- Updated GatewayRunner to inject the session store into adapters
- Added comprehensive tests for the new behavior
Fixes: Thread replies without @jarvis are now processed if there is
an active session, matching user expectations for conversation flow
- Add .gitea/workflows/ci.yml: Gitea Actions workflow for PR/push CI
- Add scripts/smoke_test.py: fast smoke tests (<30s) for core imports and CLI entrypoints
- Add tests/test_green_path_e2e.py: bare green-path e2e — terminal echo test
- Total CI runtime target: <5 minutes
- No API keys required for smoke/e2e stages
Closes#145
/assign @bezalel
Add fine-grained authorization policies per Feishu group chat via
platforms.feishu.extra configuration.
- Add global bot-level admins that bypass all group restrictions
- Add per-group policies: open, allowlist, blacklist, admin_only, disabled
- Add default_group_policy fallback for chats without explicit rules
- Thread chat_id through group message gate for per-chat rule selection
- Match both open_id and user_id for backward compatibility
- Preserve existing FEISHU_ALLOWED_USERS / FEISHU_GROUP_POLICY behavior
- Add focused regression tests for all policy modes
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Consolidate coercion functions, extract loop readiness check, and deduplicate test mock setup to improve maintainability without changing behavior.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Reapply local reconnect and ping settings after the Feishu SDK refreshes its client config so user-provided websocket tuning actually takes effect.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Allow Feishu websocket keepalive timing to be configured via platform
extra config so disconnects can be detected faster in unstable networks.
New optional extra settings:
- ws_ping_interval
- ws_ping_timeout
These values are applied only when explicitly configured. Invalid values
fall back to the websocket library defaults by leaving the options unset.
This complements the reconnect timing settings added previously and helps
reduce total recovery time after network interruptions.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Allow users to configure websocket reconnect behavior via platform extra
config to reduce reconnect latency in production environments.
The official Feishu SDK defaults to:
- First reconnect: random jitter 0-30 seconds
- Subsequent retries: 120 second intervals
This can cause 20-30 second delays before reconnection after network
interruptions. This commit makes these values configurable while keeping
the SDK defaults for backward compatibility.
Configuration via ~/.hermes/config.yaml:
```yaml
platforms:
feishu:
extra:
ws_reconnect_nonce: 0 # Disable first-reconnect jitter (default: 30)
ws_reconnect_interval: 3 # Retry every 3 seconds (default: 120)
```
Invalid values (negative numbers, non-integers) fall back to SDK defaults.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit fixes two critical bugs in the Feishu adapter that affect
message reliability and process lifecycle.
**Bug Fix 1: Intermittent Message Drops**
Root cause: Event handler was created once in __init__ and reused across
reconnects, causing callbacks to capture stale loop references. When the
adapter disconnected and reconnected, old callbacks continued firing with
invalid loop references, resulting in dropped messages with warnings:
"[Feishu] Dropping inbound message before adapter loop is ready"
Fix:
- Rebuild event handler on each connect (websocket/webhook)
- Clear handler on disconnect
- Ensure callbacks always capture current valid loop
- Add defensive loop.is_closed() checks with getattr for test compatibility
- Unify webhook dispatch path to use same loop checks as websocket mode
**Bug Fix 2: Process Hangs on Ctrl+C / SIGTERM**
Root cause: Feishu SDK's websocket client runs in a background thread with
an infinite _select() loop that never exits naturally. The thread was never
properly joined on disconnect, causing processes to hang indefinitely after
Ctrl+C or gateway stop commands.
Fix:
- Store reference to thread-local event loop (_ws_thread_loop)
- On disconnect, cancel all tasks in thread loop and stop it gracefully
via call_soon_threadsafe()
- Await thread future with 10s timeout
- Clean up pending tasks in thread's finally block before closing loop
- Add detailed debug logging for disconnect flow
**Additional Improvements:**
- Add regression tests for disconnect cleanup and webhook dispatch
- Ensure all event callbacks check loop readiness before dispatching
Tested on Linux with websocket mode. All Feishu tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Two issues caused Matrix E2EE to silently not work in encrypted rooms:
1. When matrix-nio is installed without the [e2e] extra (no python-olm /
libolm), nio.crypto.ENCRYPTION_ENABLED is False and client.olm is
never initialized. The adapter logged warnings but returned True from
connect(), so the bot appeared online but could never decrypt messages.
Now: check_matrix_requirements() and connect() both hard-fail with a
clear error message when MATRIX_ENCRYPTION=true but E2EE deps are
missing.
2. Without a stable device_id, the bot gets a new device identity on each
restart. Other clients see it as "unknown device" and refuse to share
Megolm session keys. Now: MATRIX_DEVICE_ID env var lets users pin a
stable device identity that persists across restarts and is passed to
nio.AsyncClient constructor + restore_login().
Changes:
- gateway/platforms/matrix.py: add _check_e2ee_deps(), hard-fail in
connect() and check_matrix_requirements(), MATRIX_DEVICE_ID support
in constructor + restore_login
- gateway/config.py: plumb MATRIX_DEVICE_ID into platform extras
- hermes_cli/config.py: add MATRIX_DEVICE_ID to OPTIONAL_ENV_VARS
Closes#3521
