check_nous_free_tier() now caches its result for 180 seconds to avoid
redundant Portal API calls during a session (auxiliary client init,
model selection, login flow all call it independently).
The TTL is short enough that an account upgrade from free to paid is
reflected within 3 minutes. clear_nous_free_tier_cache() is exposed
for explicit invalidation on login/logout.
Adds 4 tests for cache hit, TTL expiry, explicit clear, and TTL bound.
- Show pricing during initial Nous Portal login (was missing from
_login_nous, only shown in the already-logged-in hermes model path)
- Filter free models for paid subscribers: non-allowlisted free models
are hidden; allowlisted models (xiaomi/mimo-v2-pro, xiaomi/mimo-v2-omni)
only appear when actually priced as free
- Detect free-tier accounts via portal api/oauth/account endpoint
(monthly_charge == 0); free-tier users see only free models as
selectable, with paid models shown dimmed and unselectable
- Use xiaomi/mimo-v2-omni as the auxiliary vision model for free-tier
Nous users so vision_analyze and browser_vision work without paid
model access (replaces the default google/gemini-3-flash-preview)
- Unavailable models rendered via print() before TerminalMenu to avoid
simple_term_menu line-width padding artifacts; upgrade URL resolved
from auth state portal_base_url (supports staging/custom portals)
- Add 21 tests covering filter_nous_free_models, is_nous_free_tier,
and partition_nous_models_by_tier
* 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.
The filter in cmd_update() excluded is_default profiles from the
cross-profile skill sync loop. When running 'hermes update' from a
named profile (e.g. hermes -p coder update), the default profile
(~/.hermes) never received new bundled skills.
Remove the 'not p.is_default' condition so all profiles — including
default — are synced regardless of which profile runs the update.
Reported by olafgeibig.
* 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
Add geometry mobjects, movement/creation animations, and LaTeX
environments to the skill's reference docs. All verified against
Manim CE v0.20.1.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When show_reasoning is on with streaming, content tokens could arrive
while the reasoning box was still rendering (interleaved thinking mode).
This caused the response box to open before reasoning finished, resulting
in reasoning appearing after the response in the terminal.
Fix: buffer content in _deferred_content while _reasoning_box_opened is
True. Flush the buffer through _emit_stream_text when _close_reasoning_box
runs, ensuring reasoning always renders before the response.
* 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.
Replace Hyaxia/blogwatcher with JulienTant/blogwatcher-cli fork which adds:
- Docker support with BLOGWATCHER_DB env var for persistent storage
- SQL injection prevention
- SSRF protection (blocks private IPs/metadata endpoints)
- HTML scraping fallback when RSS unavailable
- OPML import from Feedly/Inoreader/NewsBlur
- Category filtering for articles
- Direct binary downloads (no Go required)
- Migration guide from original blogwatcher
Binary name changed: blogwatcher -> blogwatcher-cli
Community contribution by Ao (JulienTant).
Closes discussion about Docker compatibility.
- Raise max_models from 8 to 50 so all curated models come through
- Add _build_model_keyboard() helper with 8-per-page pagination
- Next ▶ / ◀ Prev buttons with page counter (e.g. 2/4)
- mg:<page> callback data for page navigation
- Catch-all query.answer() for noop buttons
Discord doesn't fire the select callback when clicking an already-selected
default option (no change detected). This prevented users from selecting
the current provider to browse its models. The 'current' indicator is
already shown via the description field.
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.
Selectively cherry-picked from PR #5501 by MestreY0d4-Uninter.
- Add _resolve_workspace_hint() to detect parent's working directory
- Inject WORKSPACE PATH into child system prompts
- Add rule: never assume /workspace/ container paths
- Excludes the cli.py queue-busy-input changes from the original PR
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.
/model with no args now shows an interactive UI on Telegram and Discord
instead of a text list:
Telegram: Inline keyboard buttons — two-step drill-down.
Step 1: Provider buttons with model counts (e.g. 'OpenRouter (15)')
Step 2: Model buttons within the selected provider
Edits the same message in-place as the user navigates.
Back/Cancel buttons for navigation.
Discord: Embed + Select dropdown menus via discord.ui.View.
Step 1: Provider dropdown with model counts
Step 2: Model dropdown within the selected provider
Back/Cancel buttons. Auth-gated to allowed users.
Platforms without picker support (Slack, WhatsApp, Signal, etc.)
fall back to the existing text list.
/model <name> continues to work as a direct text switch on all
platforms — the interactive picker is only for bare /model.
Implementation:
- TelegramAdapter.send_model_picker() + _handle_model_picker_callback()
with compact callback_data (mp:/mm:/mb/mx, all within 64-byte limit)
- DiscordAdapter.send_model_picker() + ModelPickerView (discord.ui.View)
with Select menus (up to 25 options per dropdown)
- GatewayRunner._handle_model_command() detects adapter capability via
getattr(type(adapter), 'send_model_picker', None) (safe with mocks)
and sends picker with async callback closure for the switch logic
- Callback performs full switch: switch_model(), cached agent update,
session override, pending model note — same as /model <name>
_login_nous() was passing pconfig.portal_base_url (hardcoded production
URL) as a fallback when no --portal-url CLI flag was given. This meant
_nous_device_code_login() received a truthy portal_base_url argument
and never reached the env var fallback chain.
Users setting HERMES_PORTAL_BASE_URL or NOUS_PORTAL_BASE_URL in .env
to point at a staging portal were silently ignored — login always went
to production.
Fix: pass None when no CLI flag is provided, letting the downstream
function properly check env vars before falling back to the default.
Fallback chain is now:
1. --portal-url CLI arg
2. HERMES_PORTAL_BASE_URL env var
3. NOUS_PORTAL_BASE_URL env var
4. DEFAULT_NOUS_PORTAL_URL (production)
Same fix applied to inference_base_url for consistency.
- Add full Supermemory section to memory-providers.md with config table,
tools, setup instructions, and key features
- Update provider count from 7 to 8 across memory.md and memory-providers.md
- Add SUPERMEMORY_API_KEY to environment-variables.md
- Add Supermemory to integrations/providers.md optional API keys table
- Add supermemory to cli-commands.md provider list
- Add Supermemory to profile isolation section (config file providers)
Two remaining gaps from the codex empty-output spec:
1. Normalize dict-shaped streamed items: output_item.done events may
yield dicts (raw/fallback paths) instead of SDK objects. The
extraction loop now uses _item_get() that handles both getattr
and dict .get() access.
2. Avoid plain-text synthesis when function_call events were streamed:
tracks has_function_calls during streaming and skips text-delta
synthesis when tool calls are present — prevents collapsing a
tool-call response into a fake text message.
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
The edit_message method was sending raw content directly to Slack's
chat_update API without converting standard markdown to Slack's mrkdwn
format. This caused broken formatting and malformed URLs (e.g., trailing
** from bold syntax became part of clickable links → 404 errors).
The send() method already calls format_message() to handle this conversion,
but edit_message() was bypassing it. This change ensures edited messages
receive the same markdown → mrkdwn transformation as new messages.
Closes: PR #5558 formatting issue where links had trailing markdown syntax.
signal-cli is not available via apt or snap. Replace the incorrect
'sudo apt install signal-cli' with the official install method:
downloading from GitHub releases (Linux) or brew (macOS).
Updated both signal.md docs and the gateway.py setup hint.
Inspired by PR #4225 (which proposed snap, also incorrect).
Comprehensive guide covering:
- llama.cpp and MLX (omlx) setup on Apple Silicon
- Model selection and memory optimization (quantized KV cache)
- Real benchmarks on M5 Max comparing both backends
- Hermes connection instructions
Cherry-picked from PR #2590.
Adds a concise post-update validation checklist (git status, hermes
doctor, version check, gateway status). Adapted from PR #3050 with
corrections — removed inaccurate submodule claim (hermes update
already handles submodules) and tightened the checklist.
Cherry-picked and adapted from PR #3050.
The docker container needs the explicit 'setup' subcommand to launch
the setup wizard. Without it, the container starts in default mode.
Co-authored-by: Omar <omar2535@users.noreply.github.com>
Cherry-picked from PR #4896 (also submitted independently as PR #5532).
The _CodexCompletionsAdapter (used for compression, vision, web_extract,
session_search, and memory flush when on the codex provider) streamed
responses but discarded all events with 'for _event in stream: pass'.
When get_final_response() returned empty output (the same chatgpt.com
backend-api shape change), auxiliary calls silently returned None content.
Now collects response.output_item.done and text deltas during streaming
and backfills empty output — same pattern as _run_codex_stream().
Tested live against chatgpt.com/backend-api/codex with OAuth.
Two gaps in the codex empty-output handling:
1. _run_codex_create_stream_fallback() skipped all non-terminal events,
so when the fallback path was used and the terminal response had
empty output, there was no recovery. Now collects output_item.done
and text deltas during the fallback stream, backfills on empty output.
2. _normalize_codex_response() hard-crashed with RuntimeError when
output was empty, even when the response had output_text set. The
function already had fallback logic at line 3562 to use output_text,
but the guard at line 3446 killed it first. Now checks output_text
before raising and synthesizes a minimal output item.
Salvages the core fix from PR #5673 (egerev) onto current main.
The chatgpt.com/backend-api/codex endpoint streams valid output items
via response.output_item.done events, but the OpenAI SDK's
get_final_response() returns an empty output list. This caused every
Codex response to be rejected as invalid.
Fix: collect output_item.done events during streaming and backfill
response.output when get_final_response() returns empty. Falls back
to synthesizing from text deltas when no done events were received.
Also moves the synthesis logic from the validation loop (too late, from
#5681) into _run_codex_stream() (before the response leaves the
streaming function), and simplifies the validation to just log
diagnostics since recovery now happens upstream.
Co-authored-by: Egor <egerev@users.noreply.github.com>
OpenAI OAuth refresh tokens are single-use and rotate on every refresh.
When the Codex CLI (or another Hermes profile) refreshes its token, the
pool entry's refresh_token becomes stale. Subsequent refresh attempts
fail with invalid_grant, and the entry enters a 24-hour exhaustion
cooldown with no recovery path.
This mirrors the existing _sync_anthropic_entry_from_credentials_file()
pattern: when an openai-codex entry is exhausted, compare its
refresh_token against ~/.codex/auth.json and sync the fresh pair if
they differ.
Fixes the common scenario where users run 'codex login' to refresh
their token externally and Hermes never picks it up.
Co-authored-by: David Andrews (LexGenius.ai) <david@lexgenius.ai>
Three bugs causing OpenAI Codex sessions to fail silently:
1. Credential pool vs legacy store disconnect: hermes auth and hermes
model store device_code tokens in the credential pool, but
get_codex_auth_status(), resolve_codex_runtime_credentials(), and
_model_flow_openai_codex() only read from the legacy provider state.
Fresh pool tokens were invisible to the auth status checks and model
selection flow.
2. _import_codex_cli_tokens() imported expired tokens from ~/.codex/
without checking JWT expiry. Combined with _login_openai_codex()
saying 'Login successful!' for expired credentials, users got stuck
in a loop of dead tokens being recycled.
3. _login_openai_codex() accepted expired tokens from
resolve_codex_runtime_credentials() without validating expiry before
telling the user login succeeded.
Fixes:
- get_codex_auth_status() now checks credential pool first, falls back
to legacy provider state
- _model_flow_openai_codex() uses pool-aware auth status for token
retrieval when fetching model lists
- _import_codex_cli_tokens() validates JWT exp claim, rejects expired
- _login_openai_codex() verifies resolved token isn't expiring before
accepting existing credentials
- _run_codex_stream() logs response.incomplete/failed terminal events
with status and incomplete_details for diagnostics
- Codex empty output recovery: captures streamed text during streaming
and synthesizes a response when get_final_response() returns empty
output (handles chatgpt.com backend-api edge cases)
Two fixes:
1. Replace all stale 'hermes login' references with 'hermes auth' across
auth.py, auxiliary_client.py, delegate_tool.py, config.py, run_agent.py,
and documentation. The 'hermes login' command was deprecated; 'hermes auth'
now handles OAuth credential management.
2. Fix credential removal not persisting for singleton-sourced credentials
(device_code for openai-codex/nous, hermes_pkce for anthropic).
auth_remove_command already cleared env vars for env-sourced credentials,
but singleton credentials stored in the auth store were re-seeded by
_seed_from_singletons() on the next load_pool() call. Now clears the
underlying auth store entry when removing singleton-sourced credentials.
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>
