hermes mcp serve starts a stdio MCP server that lets any MCP client
(Claude Code, Cursor, Codex, etc.) interact with Hermes conversations.
Matches OpenClaw's 9-tool channel bridge surface:
Tools exposed:
- conversations_list: list active sessions across all platforms
- conversation_get: details on one conversation
- messages_read: read message history
- attachments_fetch: extract non-text content from messages
- events_poll: poll for new events since a cursor
- events_wait: long-poll / block until next event (near-real-time)
- messages_send: send to any platform via send_message_tool
- channels_list: browse available messaging targets
- permissions_list_open: list pending approval requests
- permissions_respond: allow/deny approvals
Architecture:
- EventBridge: background thread polls SessionDB for new messages,
maintains in-memory event queue with waiter support
- Reads sessions.json + SessionDB directly (no gateway dep for reads)
- Reuses send_message_tool for sending (same platform adapters)
- FastMCP server with stdio transport
- Zero new dependencies (uses existing mcp>=1.2.0 optional dep)
Files:
- mcp_serve.py: MCP server + EventBridge (~600 lines)
- hermes_cli/main.py: added serve sub-parser to hermes mcp
- hermes_cli/mcp_config.py: route serve action to run_mcp_server
- tests/test_mcp_serve.py: 53 tests
- docs: updated MCP page + CLI commands reference
SMTP connections in _send_email() and _send_email_with_attachment() leak
when login() or send_message() raises before quit() is reached. Both now
wrapped in try/finally with a close() fallback if quit() also fails.
IMAP connection in _fetch_new_messages() leaks when UID processing raises,
since logout() sits after the loop. Restructured with try/finally so
logout() runs unconditionally.
Co-authored-by: Himess <Himess@users.noreply.github.com>
* feat: show estimated tool token context in hermes tools checklist
Adds a live token estimate indicator to the bottom of the interactive
tool configuration checklist (hermes tools / hermes setup). As users
toggle toolsets on/off, the total estimated context cost updates in
real time.
Implementation:
- tools/registry.py: Add get_schema() for check_fn-free schema access
- hermes_cli/curses_ui.py: Add optional status_fn callback to
curses_checklist — renders at bottom-right of terminal, stays fixed
while items scroll
- hermes_cli/tools_config.py: Add _estimate_tool_tokens() using
tiktoken (cl100k_base, already installed) to count tokens in the
JSON-serialised OpenAI-format tool schemas. Results are cached
per-process. The status function deduplicates overlapping tools
(e.g. browser includes web_search) for accurate totals.
- 12 new tests covering estimation, caching, graceful degradation
when tiktoken is unavailable, status_fn wiring, deduplication,
and the numbered fallback display
* fix: use effective toolsets (includes plugins) for token estimation index mapping
The status_fn closure built ts_keys from CONFIGURABLE_TOOLSETS but the
checklist uses _get_effective_configurable_toolsets() which appends plugin
toolsets. With plugins present, the indices would mismatch, causing
IndexError when selecting a plugin toolset.
* fix(tools): implement send_message routing for Matrix, Mattermost, HomeAssistant, DingTalk
Matrix, Mattermost, HomeAssistant, and DingTalk were present in
platform_map but fell through to the "not yet implemented" else branch,
causing send_message tool calls to silently fail on these platforms.
Add four async sender functions:
- _send_mattermost: POST /api/v4/posts via Mattermost REST API
- _send_matrix: PUT /_matrix/client/v3/rooms/.../send via Matrix CS API
- _send_homeassistant: POST /api/services/notify/notify via HA REST API
- _send_dingtalk: POST to session webhook URL
Add routing in _send_to_platform() and 17 unit tests covering success,
HTTP errors, missing config, env var fallback, and Matrix txn_id uniqueness.
* fix: pass platform tokens explicitly to Mattermost/Matrix/HA senders
The original PR passed pconfig.extra to sender functions, but tokens
live at pconfig.token (not in extra). This caused the senders to always
fall through to env var lookup instead of using the gateway-resolved
token.
Changes:
- Mattermost/Matrix/HA: accept token as first arg, matching the
Telegram/Discord/Slack sender pattern
- DingTalk: add DINGTALK_WEBHOOK_URL env var fallback + docstring
explaining the session-webhook vs robot-webhook difference
- Tests updated for new signatures + new DingTalk env var test
---------
Co-authored-by: sprmn24 <oncuevtv@gmail.com>
- Skill invocation: no secret capture callback so SSH remote setup note is emitted
- Patch agent.skill_utils.sys for platform checks (skill_matches_platform)
- Skip CLAUDE.md priority test on Darwin (case-insensitive FS)
Made-with: Cursor
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
Add skills.external_dirs config option — a list of additional directories
to scan for skills alongside ~/.hermes/skills/. External dirs are read-only:
skill creation/editing always writes to the local dir. Local skills take
precedence when names collide.
This lets users share skills across tools/agents without copying them into
Hermes's own directory (e.g. ~/.agents/skills, /shared/team-skills).
Changes:
- agent/skill_utils.py: add get_external_skills_dirs() and get_all_skills_dirs()
- agent/prompt_builder.py: scan external dirs in build_skills_system_prompt()
- tools/skills_tool.py: _find_all_skills() and skill_view() search external dirs;
security check recognizes configured external dirs as trusted
- agent/skill_commands.py: /skill slash commands discover external skills
- hermes_cli/config.py: add skills.external_dirs to DEFAULT_CONFIG
- cli-config.yaml.example: document the option
- tests/agent/test_external_skills.py: 11 tests covering discovery, precedence,
deduplication, and skill_view for external skills
Requested by community member primco.
Two related fixes for remote terminal backends (Modal/Docker):
1. NEW: Credential file mounting system
Skills declare required_credential_files in frontmatter. Files are
mounted into Docker (read-only bind mounts) and Modal (mounts at
creation + sync via exec on each command for mid-session changes).
Google Workspace skill updated with the new field.
2. FIX: Docker backend now includes env_passthrough vars
Skills that declare required_environment_variables (e.g. Notion with
NOTION_API_KEY) register vars in the env_passthrough system. The
local backend checked this, but Docker's forward_env was a separate
disconnected list. Now Docker exec merges both sources, so
skill-declared env vars are forwarded into containers automatically.
This fixes the reported issue where NOTION_API_KEY in ~/.hermes/.env
wasn't reaching the Docker container despite being registered via
the Notion skill's prerequisites.
Closes#3665
Fixes two Signal bugs:
1. SSE connection: URL-encode phone numbers so + isn't interpreted as space (400 Bad Request)
2. Attachment fetch: use 'id' parameter instead of 'attachmentId' (NullPointerException in signal-cli)
Also refactors Signal tests with shared helpers.
Adds MATTERMOST_REQUIRE_MENTION and MATTERMOST_FREE_RESPONSE_CHANNELS
env vars, matching Discord's existing mention gating pattern.
- MATTERMOST_REQUIRE_MENTION=false: respond to all channel messages
- MATTERMOST_FREE_RESPONSE_CHANNELS=id1,id2: specific channels where
bot responds without @mention even when require_mention is true
- DMs always respond regardless of mention settings
- @mention is now stripped from message text (clean agent input)
7 new tests for mention gating, free-response channels, DM bypass,
and mention stripping. Updated existing test for mention stripping.
Docs: updated mattermost.md with Mention Behavior section,
environment-variables.md with new vars, config.py with metadata.
Salvage of PR #3452 (kentimsit). Fixes skill readiness checks on remote backends — persisted env vars are no longer incorrectly marked as missing.
Co-Authored-By: kentimsit <kentimsit@users.noreply.github.com>
PR #3323 added retry with exponential backoff to cache_image_from_url
but missed the sibling function cache_audio_from_url 18 lines below in
the same file. A single transient 429/5xx/timeout loses voice messages
while image downloads now survive them.
Apply the same retry pattern: 3 attempts with 1.5s exponential backoff,
immediate raise on non-retryable 4xx.
Pasting text from rich-text editors (Google Docs, Word, etc.) can inject
lone surrogate characters (U+D800..U+DFFF) that are invalid UTF-8.
The OpenAI SDK serializes messages with ensure_ascii=False, then encodes
to UTF-8 for the HTTP body — surrogates crash this with:
UnicodeEncodeError: 'utf-8' codec can't encode character '\udce2'
Three-layer fix:
1. Primary: sanitize user_message at the top of run_conversation()
2. CLI: sanitize in chat() before appending to conversation_history
3. Safety net: catch UnicodeEncodeError in the API error handler,
sanitize the entire messages list in-place, and retry once.
Also exclude UnicodeEncodeError from is_local_validation_error
so it doesn't get classified as non-retryable.
Includes 14 new tests covering the sanitization helpers and the
integration with run_conversation().
Salvage of PR #3533 (binhnt92). Follow-up to #3480 — applies min(100, ...) to 5 remaining unclamped percentage display sites in context_compressor, cli /stats, gateway /stats, and memory tool. Defensive clamps now that the root cause (estimation heuristic) was already removed in #3480.
Co-Authored-By: binhnt92 <binhnt92@users.noreply.github.com>
When the plist is deleted (manual cleanup, failed upgrade),
hermes gateway start now regenerates it automatically instead of
failing. Also simplifies the returncode==3 error path since the
plist is guaranteed to exist at that point.
Co-authored-by: Bartok9 <Bartok9@users.noreply.github.com>
One-shot local execution built `printf FENCE; <cmd>; __hermes_rc=...`, so a
command ending in a heredoc produced a closing line like `EOF; __hermes_rc=...`,
which is not a valid delimiter. Bash then treated the rest of the wrapper as
heredoc body, leaking it into tool output (e.g. gh issue/PR flows).
Use newline-separated wrapper lines so the delimiter stays alone and the
trailer runs after the heredoc completes.
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
Prevent the agent from accidentally killing its own process with
pkill -f gateway, killall hermes, etc. Adds a dangerous command
pattern that triggers the approval flow.
Co-authored-by: arasovic <arasovic@users.noreply.github.com>
Adds 'hermes webhook' CLI subcommand and a skill — zero new model tools.
CLI commands (require webhook platform to be enabled):
hermes webhook subscribe <name> [--events, --prompt, --deliver, ...]
hermes webhook list
hermes webhook remove <name>
hermes webhook test <name>
All commands gate on webhook platform being enabled in config. If not
configured, prints setup instructions (gateway setup wizard, manual
config.yaml, or env vars).
The agent uses these via terminal tool, guided by the webhook-subscriptions
skill which documents setup, common patterns (GitHub, Stripe, CI/CD,
monitoring), prompt template syntax, security, and troubleshooting.
Adapter enhancement: webhook.py hot-reloads dynamic subscriptions from
~/.hermes/webhook_subscriptions.json on each incoming request (mtime-gated).
Static config.yaml routes always take precedence.
Docs: updated webhooks.md with Dynamic Subscriptions section, added
hermes webhook to cli-commands.md reference.
No new model tools. No toolset changes.
24 new tests for CLI CRUD, persistence, enabled-gate, and adapter
dynamic route loading.
Two fixes for /skills install and /skills uninstall slash commands:
1. input() hangs indefinitely inside prompt_toolkit's TUI event loop,
soft-locking the CLI. The user typing the slash command is already
implicit consent, so confirmation is now always skipped.
2. Cache invalidation was unconditional — installing or uninstalling a
skill mid-session silently broke the prompt cache, increasing costs.
The slash handler now defers cache invalidation by default (skill
takes effect next session). Pass --now to invalidate immediately,
with a message explaining the cost tradeoff. The CLI argparse path
(hermes skills install) is unaffected and still invalidates.
Fixes#3474
Salvaged from PR #3496 by dlkakbs.
hermes update hangs on input() when run from cron, scripts, or piped
contexts. Check both stdin and stdout isatty(), catch EOFError as a
fallback, and print guidance to run 'hermes config migrate' later.
Co-authored-by: phippsbot-byte <phippsbot-byte@users.noreply.github.com>
When all messaging platforms exhaust retries and get queued for background
reconnection, exit with code 1 so systemd Restart=on-failure can restart
the process. Previously the gateway stayed alive as a zombie with no
connected platforms and exit code 0.
Salvaged from PR #3567 by kelsia14. Test updates added.
Co-authored-by: kelsia14 <kelsia14@users.noreply.github.com>
* fix: keep gateway running through telegram proxy failures
- continue gateway startup in degraded mode when Telegram cannot connect yet
- ensure Telegram fallback transport also honors proxy env vars
- support reconnect retries without taking down the whole gateway
* test(telegram): cover proxy env handling in fallback transport
---------
Co-authored-by: kufufu9 <pi@local>
Salvage of PR #2173 (hanai) and PR #3432 (timknip).
Injects PATH, VIRTUAL_ENV, and HERMES_HOME into the macOS launchd plist so gateway subprocesses find user-installed tools (node, ffmpeg, etc.). Matches systemd unit parity with venv/bin, node_modules/.bin, and resolved node dir in PATH. Includes 7 new tests and docs updates across 4 pages.
Co-Authored-By: Han <ihanai1991@gmail.com>
Co-Authored-By: timknip <timknip@users.noreply.github.com>
Ollama reuses index 0 for every tool call in a parallel batch,
distinguishing them only by id. The streaming accumulator now
detects a new non-empty id at an already-active index and redirects
it to a fresh slot, preventing names and arguments from being
concatenated into a single tool call.
No-op for normal providers that use incrementing indices.
Co-authored-by: dmater01 <dmater01@users.noreply.github.com>
* Fixing mattermost configuration parsing bugs
* fix: add homeassistant to skills_config + platform consistency tests
Follow-up for cherry-picked #3512:
- Add homeassistant to skills_config.py PLATFORMS (was in tools_config
but missing from skills_config)
- Add 3 consistency tests that verify all platforms in tools_config have
matching toolset definitions, gateway includes, and skills_config entries
— prevents this class of bug from recurring
---------
Co-authored-by: DaneelV3 <dannel@v3rtical.tech>
Commands sent directly to the bot in groups include @botname suffix
(e.g. /compress@TigerNanoBot). get_command() now strips the @anything
part before lookup, matching how Telegram bot menu generates commands.
Fixes all slash commands silently doing nothing when sent with @mention.
Co-authored-by: MacroAnarchy <MacroAnarchy@users.noreply.github.com>
Add X-Content-Type-Options: nosniff and Referrer-Policy: no-referrer
to all API server responses via a new security_headers_middleware.
Co-authored-by: Oktay Aydin <aydnOktay@users.noreply.github.com>
Adds Access-Control-Max-Age: 600 to CORS preflight responses, telling
browsers to cache the preflight for 10 minutes. Reduces redundant OPTIONS
requests and improves perceived latency for browser-based API clients.
Salvaged from PR #3514 by aydnOktay.
Co-authored-by: aydnOktay <xaydinoktay@gmail.com>
* feat: GPT tool-use steering + strip budget warnings from history
Two changes to improve tool reliability, especially for OpenAI GPT models:
1. GPT tool-use enforcement prompt: Adds GPT_TOOL_USE_GUIDANCE to the
system prompt when the model name contains 'gpt' and tools are loaded.
This addresses a known behavioral pattern where GPT models describe
intended actions ('I will run the tests') instead of actually making
tool calls. Inspired by similar steering in OpenCode (beast.txt) and
Cline (GPT-5.1 variant).
2. Budget warning history stripping: Budget pressure warnings injected by
_get_budget_warning() into tool results are now stripped when
conversation history is replayed via run_conversation(). Previously,
these turn-scoped signals persisted across turns, causing models to
avoid tool calls in all subsequent messages after any turn that hit
the 70-90% iteration threshold.
* fix: replace hardcoded ~/.hermes paths with get_hermes_home() for profile support
Prep for the upcoming profiles feature — each profile is a separate
HERMES_HOME directory, so all paths must respect the env var.
Fixes:
- gateway/platforms/matrix.py: Matrix E2EE store was hardcoded to
~/.hermes/matrix/store, ignoring HERMES_HOME. Now uses
get_hermes_home() so each profile gets its own Matrix state.
- gateway/platforms/telegram.py: Two locations reading config.yaml via
Path.home()/.hermes instead of get_hermes_home(). DM topic thread_id
persistence and hot-reload would read the wrong config in a profile.
- tools/file_tools.py: Security path for hub index blocking was
hardcoded to ~/.hermes, would miss the actual profile's hub cache.
- hermes_cli/gateway.py: Service naming now uses the profile name
(hermes-gateway-coder) instead of a cryptic hash suffix. Extracted
_profile_suffix() helper shared by systemd and launchd.
- hermes_cli/gateway.py: Launchd plist path and Label now scoped per
profile (ai.hermes.gateway-coder.plist). Previously all profiles
would collide on the same plist file on macOS.
- hermes_cli/gateway.py: Launchd plist now includes HERMES_HOME in
EnvironmentVariables — was missing entirely, making custom
HERMES_HOME broken on macOS launchd (pre-existing bug).
- All launchctl commands in gateway.py, main.py, status.py updated
to use get_launchd_label() instead of hardcoded string.
Test fixes: DM topic tests now set HERMES_HOME env var alongside
Path.home() mock. Launchd test uses get_launchd_label() for expected
commands.
PR #3566 intentionally routes suppressed content to stream_delta_callback
when tool calls are present, so reasoning tag extraction can fire during
streaming. The test was still asserting the old behavior where content
after tool calls was fully suppressed from the callback.
Updated the assertion to match: content IS delivered to the callback
(for tag extraction), with display-level suppression handled by the
CLI's _stream_delta.
Add GET /v1/health as an alias to the existing /health endpoint so
OpenAI-compatible health checks work out of the box.
Co-authored-by: Oktay Aydin <aydnOktay@users.noreply.github.com>
The TOOL_USE_ENFORCEMENT_GUIDANCE injection (added in #3528) was
hardcoded to only match gpt/codex model names. This makes it a
config option so users can turn it on for any model family.
New config key: agent.tool_use_enforcement
- "auto" (default): matches gpt/codex (existing behavior)
- true: inject for all models
- false: never inject
- list of strings: custom model-name substrings to match
e.g. ["gpt", "codex", "deepseek", "qwen"]
No version bump needed — deep merge provides the default
automatically for existing installs.
12 new tests covering all config modes.
* fix(gateway): preserve full transcript on /compress instead of overwriting
The /compress command calls _compress_context() which correctly ends the
old session (preserving its full transcript in SQLite) and creates a new
session_id for the continuation. However, it then immediately called
rewrite_transcript() on the OLD session_id, overwriting the preserved
transcript with the compressed version — destroying searchable history.
Auto-compression (triggered by context pressure) does not have this bug
because the gateway already handles the session_id swap via the
agent.session_id != session_id check after _run_agent_sync.
Fix: after _compress_context creates the new session, write the compressed
messages into the NEW session_id and update the session store pointer.
The old session's full transcript stays intact and searchable via
session_search.
Before: /compress destroys original messages, session_search can't find
details from compressed portions.
After: /compress behaves like /new for history — full transcript preserved,
compressed context for the live session.
* fix(gateway): preserve transcript on /compress and hygiene compression
Apply session_id swap after _compress_context in both /compress handler
and hygiene pre-compression. _compress_context creates a new session
(ending the old one), but both paths were calling rewrite_transcript on
the OLD session_id — overwriting the preserved transcript and destroying
searchable history.
Now follows the same pattern as the auto-compression handler (lines
5415-5423): detect the new session_id, update the session store entry,
and write compressed messages to the new session.
Also fix FakeCompressAgent test mock to include session_id attribute
and simulate the session_id change that real _compress_context performs.
Co-authored-by: MacroAnarchy <MacroAnarchy@users.noreply.github.com>
---------
Co-authored-by: MacroAnarchy <MacroAnarchy@users.noreply.github.com>
* fix(matrix): harden e2ee access-token handling
* fix: patch nio mock in e2ee maintenance sync loop test
The sync_loop now imports nio for SyncError checking (from PR #3280),
so the test needs to inject a fake nio module via sys.modules.
---------
Co-authored-by: Cortana <andrew+cortana@chalkley.org>
The minimax-specific auto-correction in runtime_provider.py was
preventing users from overriding to the OpenAI-compatible endpoint
via MINIMAX_BASE_URL. Users in certain regions get nginx 404 on
api.minimax.io/anthropic and need to switch to api.minimax.chat/v1.
The generic URL-suffix detection already handles /anthropic →
anthropic_messages, so the minimax-specific code was redundant for
the default path and harmful for the override path.
Now: default /anthropic URL works via generic detection, user
override to /v1 gets chat_completions mode naturally.
Closes#3546 (different approach — respects user overrides instead
of changing the default endpoint).
Drop the swe-rex dependency for Modal terminal backend and use the
Modal SDK directly (Sandbox.create + Sandbox.exec). This fixes:
- AsyncUsageWarning from synchronous App.lookup() in async context
- DeprecationError from unencrypted_ports / .url on unencrypted tunnels
(deprecated 2026-03-05)
The new implementation:
- Uses modal.App.lookup.aio() for async-safe app creation
- Uses Sandbox.create.aio() with 'sleep infinity' entrypoint
- Uses Sandbox.exec.aio() for direct command execution (no HTTP server
or tunnel needed)
- Keeps all existing features: persistent filesystem snapshots,
configurable resources (CPU/memory/disk), sudo support, interrupt
handling, _AsyncWorker for event loop safety
Consistent with the Docker backend precedent (PR #2804) where we
removed mini-swe-agent in favor of direct docker run.
Files changed:
- tools/environments/modal.py - core rewrite
- tools/terminal_tool.py - health check: modal instead of swerex
- hermes_cli/setup.py - install modal instead of swe-rex[modal]
- pyproject.toml - modal extra: modal>=1.0.0 instead of swe-rex[modal]
- scripts/kill_modal.sh - grep for hermes-agent instead of swe-rex
- tests/ - updated for new implementation
- environments/README.md - updated patches section
- website/docs - updated install command
The plugin system defined six lifecycle hooks but only pre_tool_call and
post_tool_call were invoked. This activates the remaining four so that
external plugins (e.g. memory systems) can hook into the conversation
loop without touching core code.
Hook semantics:
- on_session_start: fires once when a new session is created
- pre_llm_call: fires once per turn before the tool-calling loop;
plugins can return {"context": "..."} to inject into the ephemeral
system prompt (not cached, not persisted)
- post_llm_call: fires once per turn after the loop completes, with
user_message and assistant_response for sync/storage
- on_session_end: fires at the end of every run_conversation call
invoke_hook() now returns a list of non-None callback return values,
enabling pre_llm_call context injection while remaining backward
compatible (existing hooks that return None are unaffected).
Salvaged from PR #2823.
Co-authored-by: Nicolò Boschi <boschi1997@gmail.com>
Browser clients using the Idempotency-Key header for request
deduplication were blocked by CORS preflight because the header
was not listed in Access-Control-Allow-Headers.
Add Idempotency-Key to _CORS_HEADERS and add tests for both the
new header allowance and the existing Vary: Origin behavior.
Co-authored-by: aydnOktay <aydnOktay@users.noreply.github.com>
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
Root cause: Anthropic buffers entire tool call arguments and goes silent
for minutes while thinking (verified: 167s gap with zero SSE events on
direct API). OpenRouter's upstream proxy times out after ~125s of
inactivity and drops the connection with 'Network connection lost'.
Fix: Send the x-anthropic-beta: fine-grained-tool-streaming-2025-05-14
header for Claude models on OpenRouter. This makes Anthropic stream
tool call arguments token-by-token instead of buffering them, keeping
the connection alive through OpenRouter's proxy.
Live-tested: the exact prompt that consistently failed at ~128s now
completes successfully — 2,972 lines written, 49K tokens, 8 minutes.
Additional improvements:
1. Send explicit max_tokens for Claude through OpenRouter. Without it,
OpenRouter defaults to 65,536 (confirmed via echo_upstream_body) —
only half of Opus 4.6's 128K limit.
2. Classify SSE 'Network connection lost' as retryable in the streaming
inner retry loop. The OpenAI SDK raises APIError from SSE error
events, which was bypassing our transient error retry logic.
3. Actionable diagnostic guidance when stream-drop retries exhaust.
Add ~/.local/bin, ~/.cargo/bin, ~/go/bin, ~/.npm-global/bin to the
systemd unit PATH so tools installed via uv/pipx/cargo/go are
discoverable by MCP servers and terminal commands.
Uses a _build_user_local_paths() helper that checks exists() before
adding, and correctly resolves home dir for both user and system
service types.
Co-authored-by: Kal Sze <ksze@users.noreply.github.com>
Cherry-pick of feat/gpt-tool-steering with modifications:
1. Tool-use enforcement prompt (refactored from GPT-specific):
- Renamed GPT_TOOL_USE_GUIDANCE -> TOOL_USE_ENFORCEMENT_GUIDANCE
- Added TOOL_USE_ENFORCEMENT_MODELS tuple: ('gpt', 'codex')
- Injection logic now checks against the tuple instead of hardcoding
'gpt' — adding new model families is a one-line change
- Addresses models describing actions instead of making tool calls
2. Budget warning history stripping:
- _strip_budget_warnings_from_history() strips _budget_warning JSON
keys and [BUDGET WARNING: ...] text from tool results at the start
of run_conversation()
- Prevents old budget warnings from poisoning subsequent turns
Based on PR #3479 by teknium1.
* fix: harden `hermes update` against diverged history, non-main branches, and gateway edge cases
The self-update command (`hermes update` / gateway `/update`) could fail
or silently corrupt state in several scenarios:
1. **Diverged history** — `git pull --ff-only` aborts with a cryptic
subprocess error when upstream has force-pushed or rebased. Now falls
back to `git reset --hard origin/main` since local changes are already
stashed.
2. **User on a feature branch / detached HEAD** — the old code would
either clobber the feature branch HEAD to point at origin/main, or
silently pull against a non-existent remote branch. Now auto-checkouts
main before pulling, with a clear warning.
3. **Fetch failures** — network or auth errors produced raw subprocess
tracebacks. Now shows user-friendly messages ("Network error",
"Authentication failed") with actionable hints.
4. **reset --hard failure** — if the fallback reset itself fails (disk
full, permissions), the old code would still attempt stash restore on
a broken working tree. Now skips restore and tells the user their
changes are safe in stash.
5. **Gateway /update stash conflicts** — non-interactive mode (Telegram
`/update`) called sys.exit(1) when stash restore had conflicts, making
the entire update report as failed even though the code update itself
succeeded. Now treats stash conflicts as non-fatal in non-interactive
mode (returns False instead of exiting).
* fix: restore stash and branch on 'already up to date' early return
The PR moved stash creation before the commit-count check (needed for
the branch-switching feature), but the 'already up to date' early return
didn't restore the stash or switch back to the original branch — leaving
the user stranded on main with changes trapped in a stash.
Now the early-return path restores the stash and checks out the original
branch when applicable.
---------
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
- Change default inference_base_url from dashscope-intl Anthropic-compat
endpoint to coding-intl OpenAI-compat /v1 endpoint. The old Anthropic
endpoint 404'd when used with the OpenAI SDK (which appends
/chat/completions to a /apps/anthropic base URL).
- Update curated model list: remove models unavailable on coding-intl
(qwen3-max, qwen-plus-latest, qwen3.5-flash, qwen-vl-max), add
third-party models available on the platform (glm-5, glm-4.7,
kimi-k2.5, MiniMax-M2.5).
- URL-based api_mode auto-detection still works: overriding
DASHSCOPE_BASE_URL to an /apps/anthropic endpoint automatically
switches to anthropic_messages mode.
- Update provider description and env var descriptions to reflect the
coding-intl multi-provider platform.
- Update tests to match new default URL and test the anthropic override
path instead.
* fix: cap context pressure percentage at 100% in display
The forward-looking token estimate can overshoot the compaction threshold
(e.g. a large tool result pushes it from 70% to 109% in one step). The
progress bar was already capped via min(), but pct_int was not — causing
the user to see '109% to compaction' which is confusing.
Cap pct_int at 100 in both CLI and gateway display functions.
Reported by @JoshExile82.
* refactor: use real API token counts for compression decisions
Replace the rough chars/3 estimation with actual prompt_tokens +
completion_tokens from the API response. The estimation was needed to
predict whether tool results would push context past the threshold, but
the default 50% threshold leaves ample headroom — if tool results push
past it, the next API call reports real usage and triggers compression
then.
This removes all estimation from the compression and context pressure
paths, making both 100% data-driven from provider-reported token counts.
Also removes the dead _msg_count_before_tools variable.
When finish_reason='length' and the response contains only reasoning
(think blocks or empty content), the model exhausted its output token
budget on thinking with nothing left for the actual response.
Previously, this fell into either:
- chat_completions: 3 useless continuation retries (model hits same limit)
- anthropic/codex: generic 'Response truncated' error with rollback
Now: detect the think-only + length condition early and return immediately
with a targeted error message: 'Model used all output tokens on reasoning
with none left for the response. Try lowering reasoning effort or
increasing max_tokens.'
This saves 2 wasted API calls on the chat_completions path and gives
users actionable guidance instead of a cryptic error.
The existing think-only retry logic (finish_reason='stop') is unchanged —
that's a genuine model glitch where retrying can help.
Salvage of #3389 by @binhnt92 with reasoning fallback and retry logic added on top.
All 7 auxiliary LLM call sites now use extract_content_or_reasoning() which mirrors the main agent loop's behavior: extract content, strip think blocks, fall back to structured reasoning fields, retry on empty.
Closes#3389.
Show only agentic models that map to OpenRouter defaults:
Qwen/Qwen3.5-397B-A17B ↔ qwen/qwen3.5-plus
Qwen/Qwen3.5-35B-A3B ↔ qwen/qwen3.5-35b-a3b
deepseek-ai/DeepSeek-V3.2 ↔ deepseek/deepseek-chat
moonshotai/Kimi-K2.5 ↔ moonshotai/kimi-k2.5
MiniMaxAI/MiniMax-M2.5 ↔ minimax/minimax-m2.5
zai-org/GLM-5 ↔ z-ai/glm-5
XiaomiMiMo/MiMo-V2-Flash ↔ xiaomi/mimo-v2-pro
moonshotai/Kimi-K2-Thinking ↔ moonshotai/kimi-k2-thinking
Users can still pick any HF model via Enter custom model name.
Previously, tirith exit code 1 (block) immediately rejected the command
with no approval prompt — users saw 'BLOCKED: Command blocked by
security scan' and the agent moved on. This prevented gateway/CLI users
from approving pipe-to-shell installs like 'curl ... | sh' even when
they understood the risk.
Changes:
- Tirith 'block' and 'warn' now both go through the approval flow.
Users see the full tirith findings (severity, title, description,
safer alternatives) and can choose to approve or deny.
- New _format_tirith_description() builds rich descriptions from tirith
findings JSON so the approval prompt is informative.
- CLI startup now warns when tirith is enabled but not available, so
users know command scanning is degraded to pattern matching only.
The default approval choice is still deny, so the security posture is
unchanged for unattended/timeout scenarios.
Reported via Discord by pistrie — 'curl -fsSL https://mandex.dev/install.sh | sh'
was hard-blocked with no way to approve.
The Anthropic adapter defaulted to max_tokens=16384 when no explicit value
was configured. This severely limits thinking-enabled models where thinking
tokens count toward max_tokens:
- Claude Opus 4.6 supports 128K output but was capped at 16K
- Claude Sonnet 4.6 supports 64K output but was capped at 16K
With extended thinking (adaptive or budget-based), the model could exhaust
the entire 16K on reasoning, leaving zero tokens for the actual response.
This caused two user-visible errors:
- 'Response truncated (finish_reason=length)' — thinking consumed most tokens
- 'Response only contains think block with no content' — thinking consumed all
Fix: add _ANTHROPIC_OUTPUT_LIMITS lookup table (sourced from Anthropic docs
and Cline's model catalog) and use the model's actual output limit as the
default. Unknown future models default to 128K (the current maximum).
Also adds context_length clamping: if the user configured a smaller context
window (e.g. custom endpoint), max_tokens is clamped to context_length - 1
to avoid exceeding the window.
Closes#2706
Models like GLM-5/5.1 can think for 15+ minutes. The previous 900s
(15 min) default for HERMES_API_TIMEOUT killed legitimate requests.
Raised to 1800s (30 min) in both places that read the env var:
- _build_api_kwargs() timeout (non-streaming total timeout)
- _call_chat_completions() write timeout (streaming connection)
The streaming per-chunk read timeout (60s) and stale stream detector
(180-300s) are unchanged — those are appropriate for inter-chunk timing.
Salvage of PR #1747 (original PR #1171 by @davanstrien) onto current main.
Registers Hugging Face Inference Providers (router.huggingface.co/v1) as a named provider:
- hermes chat --provider huggingface (or --provider hf)
- 18 curated open models via hermes model picker
- HF_TOKEN in ~/.hermes/.env
- OpenAI-compatible endpoint with automatic failover (Groq, Together, SambaNova, etc.)
Files: auth.py, models.py, main.py, setup.py, config.py, model_metadata.py, .env.example, 5 docs pages, 17 new tests.
Co-authored-by: Daniel van Strien <davanstrien@gmail.com>
Salvage of #3399 by @binhnt92 with true agent interruption added on top.
When a streaming /v1/chat/completions client disconnects mid-stream, the agent is now interrupted via agent.interrupt() so it stops making LLM API calls, and the asyncio task wrapper is cancelled.
Closes#3399.
Two independent bugs caused the reasoning box to appear three times when
the model produced reasoning + tool_calls:
Bug A: _build_assistant_message() re-fired reasoning_callback with the full
reasoning text even when streaming had already displayed it. The original
guard only checked structured reasoning_content deltas, but reasoning also
arrives via content tag extraction (<REASONING_SCRATCHPAD>/<think> tags
in delta.content), which went through _fire_stream_delta not
_fire_reasoning_delta. Fix: skip the callback entirely when streaming is
active — both paths display reasoning during the stream. Any reasoning not
shown during streaming is caught by the CLI post-response fallback.
Bug B: The post-response reasoning display checked _reasoning_stream_started,
but that flag was reset by _reset_stream_state() during intermediate turn
boundaries (when stream_delta_callback(None) fires between tool calls).
Introduced _reasoning_shown_this_turn flag that persists across the tool
loop and is only reset at the start of each user turn.
Live-tested in PTY: reasoning now shows exactly once per API call, no
duplicates across tool-calling loops.
The OpenAI SDK's AsyncHttpxClientWrapper.__del__ schedules aclose() via
asyncio.get_running_loop().create_task(). When an AsyncOpenAI client is
garbage-collected while prompt_toolkit's event loop is running (the common
CLI idle state), the aclose() task runs on prompt_toolkit's loop but the
underlying TCP transport is bound to a different (dead) worker loop.
The transport's self._loop.call_soon() then raises RuntimeError('Event
loop is closed'), which prompt_toolkit surfaces as the disruptive
'Unhandled exception in event loop ... Press ENTER to continue...' error.
Three-layer fix:
1. neuter_async_httpx_del(): Monkey-patches __del__ to a no-op at CLI
startup before any AsyncOpenAI clients are created. Safe because
cached clients are explicitly cleaned via _force_close_async_httpx,
and uncached clients' TCP connections are cleaned by the OS on exit.
2. Custom asyncio exception handler: Installed on prompt_toolkit's event
loop to silently suppress 'Event loop is closed' RuntimeError.
Defense-in-depth for SDK upgrades that might change the class name.
3. cleanup_stale_async_clients(): Called after each agent turn (when the
agent thread joins) to proactively evict cache entries whose event
loop is closed, preventing stale clients from accumulating.
When a gateway crashes mid-job execution (before mark_job_run can persist
the updated next_run_at), the job would fire again on every restart attempt
within the grace window. For a daily 6:15 AM job with a 2-hour grace,
rapidly restarting the gateway could trigger dozens of duplicate runs.
Fix: call advance_next_run() BEFORE run_job() in tick(). For recurring
jobs (cron/interval), this preemptively advances next_run_at to the next
future occurrence and persists it to disk. If the process then crashes
during execution, the job won't be considered due on restart.
One-shot jobs are left unchanged — they still retry on restart since
there's no future occurrence to advance to.
This changes the scheduler from at-least-once to at-most-once semantics
for recurring jobs, which is the correct tradeoff: missing one daily
message is far better than sending it dozens of times.
python-telegram-bot's BadRequest inherits from NetworkError, so the
send() retry loop was catching 'Message thread not found' as a transient
network error and retrying 3 times before silently failing. This killed
all tool progress messages, streaming responses, and typing indicators
when the incoming message carried an invalid message_thread_id.
Now detect BadRequest inside the NetworkError handler:
- 'thread not found' + thread_id set → clear thread_id and retry once
(message still reaches the chat, just without topic threading)
- Other BadRequest errors → raise immediately (permanent, don't retry)
- True NetworkError → retry as before (transient)
252 silent failures in gateway.log traced to this on 2026-03-26.
5 new tests for thread fallback, non-thread BadRequest, no-thread sends,
network retry, and multi-chunk fallback.
* feat(telegram): auto-discover fallback IPs via DoH when api.telegram.org is unreachable
On some networks (university, corporate), api.telegram.org resolves to a
valid Telegram IP that is unreachable due to routing/firewall rules. A
different IP in the same Telegram-owned 149.154.160.0/20 block works fine.
This adds automatic fallback IP discovery at connect time:
1. Query Google and Cloudflare DNS-over-HTTPS for api.telegram.org A records
2. Exclude the system-DNS IP (the unreachable one), use the rest as fallbacks
3. If DoH is also blocked, fall back to a seed list (149.154.167.220)
4. TelegramFallbackTransport tries primary first, sticks to whichever works
No configuration needed — works automatically. TELEGRAM_FALLBACK_IPS env var
still available as manual override. Zero impact on healthy networks (primary
path succeeds on first attempt, fallback never exercised).
No new dependencies (uses httpx already in deps + stdlib socket).
* fix: share transport instance and downgrade seed fallback log to info
- Use single TelegramFallbackTransport shared between request and
get_updates_request so sticky IP is shared across polling and API calls
- Keep separate HTTPXRequest instances (different timeout settings)
- Downgrade "using seed fallback IPs" from warning to info to avoid
noisy logs on healthy networks
* fix: add telegram.request mock and discovery fixture to remaining test files
The original PR missed test_dm_topics.py and
test_telegram_network_reconnect.py — both need the telegram.request
mock module. The reconnect test also needs _no_auto_discovery since
_handle_polling_network_error calls connect() which now invokes
discover_fallback_ips().
---------
Co-authored-by: Mohan Qiao <Gavin-Qiao@users.noreply.github.com>
dict.get(key, default) returns None — not the default — when the key IS
present but explicitly set to null/~ in YAML. Calling .lower() on that
raises AttributeError.
Use (config.get(key) or fallback) so both missing keys and explicit nulls
coalesce to the intended default.
Files fixed:
- tools/tts_tool.py — _get_provider()
- tools/web_tools.py — _get_backend()
- tools/mcp_tool.py — MCPServerTask auth config
- trajectory_compressor.py — _detect_provider() and config loading
Co-authored-by: dieutx <dangtc94@gmail.com>
V4A patches with only + lines (no context or - lines) were silently
dropped because search_lines was empty and the 'if search_lines:' block
was the only code path. Addition-only hunks are common when the model
generates patches for new functions or blocks.
Adds an else branch that inserts at the context_hint position when
available, or appends at end of file.
Includes 2 regression tests for addition-only hunks with and without
context hints.
Salvaged from PR #3092 by thakoreh.
Co-authored-by: Hiren <hiren.thakore58@gmail.com>
* fix(gateway): add media download retry to Mattermost, Slack, and base cache
Media downloads on Mattermost and Slack fail permanently on transient
errors (timeouts, 429 rate limits, 5xx server errors). Telegram and
WhatsApp already have retry logic, but these platforms had single-attempt
downloads with hardcoded 30s timeouts.
Changes:
- base.py cache_image_from_url: add retry with exponential backoff
(covers Signal and any platform using the shared cache helper)
- mattermost.py _send_media_url: retry on 429/5xx/timeout (3 attempts)
- slack.py _download_slack_file: retry on timeout/5xx (3 attempts)
- slack.py _download_slack_file_bytes: same retry pattern
* test: add tests for media download retry
---------
Co-authored-by: dieutx <dangtc94@gmail.com>
When a new session starts in the gateway (via /new, /reset, or
auto-reset), send the user a summary of the detected configuration:
✨ Session reset! Starting fresh.
◆ Model: qwen3.5:27b-q4_K_M
◆ Provider: custom
◆ Context: 8K tokens (config)
◆ Endpoint: http://localhost:11434/v1
This makes misconfigured context length immediately visible — a user
running a local 8K model that falls to the 128K default will see:
◆ Context: 128K tokens (default — set model.context_length in config to override)
Instead of silently getting no compression and degrading responses.
- _format_session_info() resolves model, provider, context length,
and endpoint from config + runtime, matching the hygiene code's
resolution chain
- Local/custom endpoints shown; cloud endpoints hidden (not useful)
- Context source annotated: config, detected, or default with hint
- Appended to /new and /reset responses, and auto-reset notifications
- 9 tests covering all formatting paths and failure resilience
Addresses the user-facing side of #2708 — instead of trying to fix
every edge case in context detection, surface the values so users
can immediately see when something is wrong.
When user messages have empty content (e.g., Discord @mention-only
messages, unrecognized attachments), the Anthropic API rejects the
request with 'user messages must have non-empty content'.
Changes:
- anthropic_adapter.py: Add empty content validation for user messages
(string and list formats), matching the existing pattern for assistant
and tool messages. Empty content gets '(empty message)' placeholder.
- discord.py: Defense-in-depth check at gateway layer to catch empty
messages before they enter session history.
- Add 4 regression tests covering empty string, whitespace-only,
empty list, and empty text block scenarios.
Fixes#3143
Co-authored-by: Bartok9 <bartok9@users.noreply.github.com>
Two remaining CI failures:
1. agent-client-protocol 0.9.0 removed AuthMethod (replaced with
AuthMethodAgent/EnvVar/Terminal). Pin to <0.9 until the new API
is evaluated — our usage doesn't map 1:1 to the new types.
2. test_429_exhausts_all_retries_before_raising expected pytest.raises
but the agent now catches 429s after max retries, tries fallback,
then returns a result dict. Updated to check final_response.
The gateway's update_session() used += for token counts, but the cached
agent's session_prompt_tokens / session_completion_tokens are cumulative
totals that grow across messages. Each update_session call re-added the
running total, inflating usage stats with every message (1.7x after 3
messages, worse over longer conversations).
Fix: change += to = for in-memory entry fields, add set_token_counts()
to SessionDB that uses direct assignment instead of SQL increment, and
switch the gateway to call it.
CLI mode continues using update_token_counts() (increment) since it
tracks per-API-call deltas — that path is unchanged.
Based on analysis from PR #3222 by @zaycruz (closed).
Co-authored-by: zaycruz <zay@users.noreply.github.com>
The cached agent accumulates session_input_tokens across messages, so
run_conversation() returns cumulative totals. But update_session() used
+= (increment), double-counting on every message after the first.
- session.py: change in-memory entry updates from += to = (direct
assignment for cumulative values)
- hermes_state.py: add absolute=True flag to update_token_counts()
that uses SET column = ? instead of SET column = column + ?
- session.py: pass absolute=True to the DB call
CLI path is unchanged — it passes per-API-call deltas directly to
update_token_counts() with the default absolute=False (increment).
Reported by @zaycruz in #3222. Closes#3222.
The startup warning 'No user allowlists configured' only checked
GATEWAY_ALLOW_ALL_USERS and per-platform _ALLOWED_USERS vars. It
missed SIGNAL_GROUP_ALLOWED_USERS and per-platform _ALLOW_ALL_USERS
vars (e.g. TELEGRAM_ALLOW_ALL_USERS), causing a false warning even
when users had these configured. The actual auth check in
_is_user_authorized already recognized these vars.
Cherry-picked from PR #3202 by binhnt92.
Co-authored-by: binhnt92 <binhnt.ht.92@gmail.com>
rewrite_transcript (used by /retry, /undo, /compress) was calling
append_message without reasoning, reasoning_details, or
codex_reasoning_items — permanently dropping them from SQLite.
Co-authored-by: alireza78a <alireza78.crypto@gmail.com>
When _try_activate_fallback() switches to the fallback model, it
updates the agent's model/provider/client but never touches
self.context_compressor. The compressor keeps the primary model's
context_length and threshold_tokens, so compression decisions use
wrong limits — a 200K primary → 32K fallback still uses 200K-based
thresholds, causing oversized sessions to overflow the fallback.
Update the compressor's model, credentials, context_length, and
threshold_tokens after fallback activation using get_model_context_length()
for the new model.
Cherry-picked from PR #3202 by binhnt92.
Co-authored-by: binhnt92 <binhnt.ht.92@gmail.com>
The API server adapter was creating agents without specifying
enabled_toolsets, causing ALL tools to load — including clarify,
send_message, and text_to_speech which don't work without interactive
callbacks or gateway dispatch.
Changes:
- toolsets.py: Add hermes-api-server toolset (core tools minus clarify,
send_message, text_to_speech)
- api_server.py: Resolve toolsets from config.yaml platform_toolsets
via _get_platform_tools() — same path as all other gateway platforms.
Falls back to hermes-api-server default when no override configured.
- tools_config.py: Add api_server to PLATFORMS dict so users can
customize via 'hermes tools' or platform_toolsets.api_server in
config.yaml
- 12 tests covering toolset definition, config resolution, and
user override
Reported by thatwolfieguy on Discord.
Two changes:
1. Fix /queue command: remove the _agent_running guard that rejected
/queue after the agent finished. The prompt was deferred in
_pending_input until the agent completed, then the handler checked
_agent_running (now False) and rejected it. /queue now always queues
regardless of timing.
2. Add display.busy_input_mode config (CLI-only):
- 'interrupt' (default): Enter while busy interrupts the current run
(preserves existing behavior)
- 'queue': Enter while busy queues the message for the next turn,
with a 'Queued for the next turn: ...' confirmation
Ctrl+C always interrupts regardless of this setting.
Salvaged from PR #3037 by StefanoChiodino. Key differences:
- Default is 'interrupt' (preserves existing behavior) not 'queue'
- No config version bump (unnecessary for new key in existing section)
- Simpler normalization (no alias map)
- /queue fix is simpler: just remove the guard instead of intercepting
commands during busy state
* fix(gateway): silence flush agent terminal output
quiet_mode=True only suppresses AIAgent init messages.
Tool call output still leaks to the terminal through
_safe_print → _print_fn during session reset/expiry.
Since #2670 injected live memory state into the flush prompt,
the flush agent now reliably calls memory tools — making the
output leak noticeable for the first time.
Set _print_fn to a no-op so the background flush is fully silent.
* test(gateway): add test for flush agent terminal silence + fix dotenv mock
- Add TestFlushAgentSilenced: verifies _print_fn is set to a no-op on
the flush agent so tool output never leaks to the terminal
- Fix pre-existing test failures: replace patch('run_agent.AIAgent')
with sys.modules mock to avoid importing run_agent (requires openai)
- Add autouse _mock_dotenv fixture so all tests in this file run
without the dotenv package installed
* fix(display): route KawaiiSpinner output through print_fn to fully silence flush agent
The previous fix set tmp_agent._print_fn = no-op on the flush agent but
spinner output and quiet-mode cute messages bypassed _print_fn entirely:
- KawaiiSpinner captured sys.stdout at __init__ and wrote directly to it
- quiet-mode tool results used builtin print() instead of _safe_print()
Add optional print_fn parameter to KawaiiSpinner.__init__; _write routes
through it when set. Pass self._print_fn to all spinner construction sites
in run_agent.py and change the quiet-mode cute message print to _safe_print.
The existing gateway fix (tmp_agent._print_fn = lambda) now propagates
correctly through both paths.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(gateway): silence hygiene and compression background agents
Two more background AIAgent instances in the gateway were created with
quiet_mode=True but without _print_fn = no-op, causing tool output to
leak to the terminal:
- _hyg_agent (in-turn hygiene memory agent)
- tmp_agent (_compress_context path)
Apply the same _print_fn no-op pattern used for the flush agent.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore(display): remove unused _last_flush_time from KawaiiSpinner
Attribute was set but never read; upstream already removed it.
Leftover from conflict resolution during rebase onto upstream/main.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Dilee <uzmpsk.dilekakbas@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
When send() fails due to a network error (ConnectError, ReadTimeout, etc.),
the failure was silently logged and the user received no feedback — appearing
as a hang. In one reported case, a user waited 1+ hour for a response that
had already been generated but failed to deliver (#2910).
Adds _send_with_retry() to BasePlatformAdapter:
- Transient errors: retry up to 2x with exponential backoff + jitter
- On exhaustion: send delivery-failure notice so user knows to retry
- Permanent errors: fall back to plain-text version (preserves existing behavior)
- SendResult.retryable flag for platform-specific transient errors
All adapters benefit automatically via BasePlatformAdapter inheritance.
Cherry-picked from PR #3108 by Mibayy.
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
shutil.get_terminal_size() can return stale/fallback values on SSH that
differ from prompt_toolkit's actual terminal width. Fragments built for
the wrong width overflow and wrap onto a second line (wrap_lines=True
default), appearing as progressively degrading duplicates.
- Read width from get_app().output.get_size().columns when inside a
prompt_toolkit TUI, falling back to shutil outside TUI context
- Add wrap_lines=False on the status bar Window as belt-and-suspenders
guard against any future width mismatch
Closes#3130
Co-authored-by: Mibayy <Mibayy@users.noreply.github.com>
Two bugs caused the OpenClaw migration during first-time setup to be
ineffective, forcing users to reconfigure everything manually:
1. The setup wizard created config.yaml with all defaults BEFORE running
the migration, then the migrator ran with overwrite=False. Every config
setting was reported as a 'conflict' against the defaults and skipped.
Fix: use overwrite=True during setup-time migration (safe because only
defaults exist at that point). The hermes claw migrate CLI command
still defaults to overwrite=False for post-setup use.
2. After migration, the full setup wizard ran all 5 sections unconditionally,
forcing the user through model/terminal/agent/messaging/tools configuration
even when those settings were just imported.
Fix: add _get_section_config_summary() and _skip_configured_section()
helpers. After migration, each section checks if it's already configured
(API keys present, non-default values, platform tokens) and offers
'Reconfigure? [y/N]' with default No. Unconfigured sections still run
normally.
Reported by Dev Bredda on social media.
After a Telegram 502, _handle_polling_network_error calls updater.stop()
then start_polling(). If start_polling() also raises, the old code logged
a warning and returned — but the comment 'The next network error will
trigger another attempt' was wrong. The updater loop is dead after stop(),
so no further error callbacks ever fire. The gateway stays alive but
permanently deaf to messages.
Fix: when start_polling() fails in the except branch, schedule a new
_handle_polling_network_error task to continue the exponential backoff
retry chain. The task is tracked in _background_tasks (preventing GC).
Guarded by has_fatal_error to avoid spurious retries during shutdown.
Closes#3173.
Salvaged from PR #3177 by Mibayy.
The delegate_task tool accepts a toolsets parameter directly from the
LLM's function call arguments. When provided, these toolsets are passed
through _strip_blocked_tools but never intersected with the parent
agent's enabled_toolsets. A model can request toolsets the parent does
not have (e.g., web, browser, rl), granting the subagent tools that
were explicitly disabled for the parent.
Intersect LLM-requested toolsets with the parent's enabled set before
applying the blocked-tool filter, so subagents can only receive a
subset of the parent's tools.
Co-authored-by: dieutx <dangtc94@gmail.com>
* 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
When third-party tools (Paperclip orchestrator, etc.) spawn hermes chat
as a subprocess, their sessions pollute user session history and search.
- hermes chat --source <tag> (also HERMES_SESSION_SOURCE env var)
- exclude_sources parameter on list_sessions_rich() and search_messages()
- Sessions with source=tool hidden from sessions list/browse/search
- Third-party adapters pass --source tool to isolate agent sessions
Cherry-picked from PR #3208 by HenkDz.
Co-authored-by: Henkey <noonou7@gmail.com>
except Exception does not catch KeyboardInterrupt (inherits from
BaseException). A second Ctrl+C during exit cleanup aborts pending
writes — Honcho observations dropped, SQLite sessions left unclosed,
cron job sessions never marked ended.
Changed to except (Exception, KeyboardInterrupt) at all five sites:
- cli.py: honcho.shutdown() and end_session() in finally exit block
- run_agent.py: _flush_honcho_on_exit atexit handler
- cron/scheduler.py: end_session() and close() in job finally block
Tests exercise the actual production code paths and confirm
KeyboardInterrupt propagates without the fix.
Co-authored-by: dieutx <dangtc94@gmail.com>
Asyncio tasks created with create_task() but never stored can be
garbage collected mid-execution. Add self._background_tasks set to
hold references, with add_done_callback cleanup. Tracks:
- /background command task
- session-reset memory flush task
- session-resume memory flush task
Cancel all pending tasks in stop().
Update test fixtures that construct GatewayRunner via object.__new__()
to include the new _background_tasks attribute.
Cherry-picked from PR #3167 by memosr. The original PR also deleted
the DM topic auto-skill loading code — that deletion was excluded
from this salvage as it removes a shipped feature (#2598).
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
detect_dangerous_command() ran regex patterns against raw command strings
without normalization, allowing bypass via Unicode fullwidth chars,
ANSI escape codes, null bytes, and 8-bit C1 controls.
Adds _normalize_command_for_detection() that:
- Strips ANSI escapes using the full ECMA-48 strip_ansi() from
tools/ansi_strip (CSI, OSC, DCS, 8-bit C1, nF sequences)
- Removes null bytes
- Normalizes Unicode via NFKC (fullwidth Latin → ASCII, etc.)
Includes 12 regression tests covering fullwidth, ANSI, C1, null byte,
and combined obfuscation bypasses.
Salvaged from PR #3089 by thakoreh — improved ANSI stripping to use
existing comprehensive strip_ansi() instead of a weaker hand-rolled
regex, and added test coverage.
Co-authored-by: Hiren <hiren.thakore58@gmail.com>
Nous Portal now passes through OpenRouter model names and routes from
there. Update the static fallback model list and auxiliary client default
to use OpenRouter-format slugs (provider/model) instead of bare names.
- _PROVIDER_MODELS['nous']: full OpenRouter catalog
- _NOUS_MODEL: google/gemini-3-flash-preview (was gemini-3-flash)
- Updated 4 test assertions for the new default model name
* fix(session-db): survive CLI/gateway concurrent write contention
Closes#3139
Three layered fixes for the scenario where CLI and gateway write to
state.db concurrently, causing create_session() to fail with
'database is locked' and permanently disabling session_search on the
gateway side.
1. Increase SQLite connection timeout: 10s -> 30s
hermes_state.py: longer window for the WAL writer to finish a batch
flush before the other process gives up entirely.
2. INSERT OR IGNORE in create_session
hermes_state.py: prevents IntegrityError on duplicate session IDs
(e.g. gateway restarts while CLI session is still alive).
3. Don't null out _session_db on create_session failure (main fix)
run_agent.py: a transient lock at agent startup must not permanently
disable session_search for the lifetime of that agent instance.
_session_db now stays alive so subsequent flushes and searches work
once the lock clears.
4. New ensure_session() helper + call it during flush
hermes_state.py: INSERT OR IGNORE for a minimal session row.
run_agent.py _flush_messages_to_session_db: calls ensure_session()
before appending messages, so the FK constraint is satisfied even
when create_session() failed at startup. No-op when the row exists.
* fix(state): release lock between context queries in search_messages
The context-window queries (one per FTS5 match) were running inside
the same lock acquisition as the primary FTS5 query, holding the lock
for O(N) sequential SQLite round-trips. Move per-match context fetches
outside the outer lock block so each acquires the lock independently,
keeping critical sections short and allowing other threads to interleave.
* fix(session): prefer longer source in load_transcript to prevent legacy truncation
When a long-lived session pre-dates SQLite storage (e.g. sessions
created before the DB layer was introduced, or after a clean
deployment that reset the DB), _flush_messages_to_session_db only
writes the *new* messages from the current turn to SQLite — it skips
messages already present in conversation_history, assuming they are
already persisted.
That assumption fails for legacy JSONL-only sessions:
Turn N (first after DB migration):
load_transcript(id) → SQLite: 0 → falls back to JSONL: 994 ✓
_flush_messages_to_session_db: skip first 994, write 2 new → SQLite: 2
Turn N+1:
load_transcript(id) → SQLite: 2 → returns immediately ✗
Agent sees 2 messages of history instead of 996
The same pattern causes the reported symptom: session JSON truncated
to 4 messages (_save_session_log writes agent.messages which only has
2 history + 2 new = 4).
Fix: always load both sources and return whichever is longer. For a
fully-migrated session SQLite will always be ≥ JSONL, so there is no
regression. For a legacy session that hasn't been bootstrapped yet,
JSONL wins and the full history is restored.
Closes#3212
* test: add load_transcript source preference tests for #3212
Covers: JSONL longer returns JSONL, SQLite longer returns SQLite,
SQLite empty falls back to JSONL, both empty returns empty, equal
length prefers SQLite (richer reasoning fields).
---------
Co-authored-by: Mibayy <mibayy@hermes.ai>
Co-authored-by: kewe63 <kewe.3217@gmail.com>
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
* fix(skills): reduce skills.sh resolution churn and preserve trust for wrapped identifiers
- Accept common skills.sh prefix typos (skils-sh/, skils.sh/)
- Strip skills-sh/ prefix in _resolve_trust_level() so trusted repos
stay trusted when installed through skills.sh
- Use resolved identifier (from bundle/meta) for scan_skill source
- Prefer tree search before root scan in _discover_identifier()
- Add _resolve_github_meta() consolidation for inspect flow
Cherry-picked from PR #3001 by kshitijk4poor.
* fix: restore candidate loop in SkillsShSource.fetch() for consistency
The cherry-picked PR only tried the first candidate identifier in
fetch() while inspect() (via _resolve_github_meta) tried all four.
This meant skills at repo/skills/path would be found by inspect but
missed by fetch, forcing it through the heavier _discover_identifier
flow. Restore the candidate loop so both paths behave identically.
Updated the test assertion to match.
---------
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
Gateway sessions had their own inline toolset resolution that only read
platform_toolsets from config, which never includes MCP server names.
MCP tools were discovered and registered but invisible to the model.
- Replace duplicated gateway toolset resolution in _run_agent() and
_run_background_task() with calls to the shared _get_platform_tools()
- Extend _get_platform_tools() to include globally enabled MCP servers
at runtime (include_default_mcp_servers=True), while config-editing
flows use include_default_mcp_servers=False to avoid persisting
implicit MCP defaults into platform_toolsets
- Add homeassistant to PLATFORMS dict (was missing, caused KeyError)
- Fix CLI entry point to use _get_platform_tools() as well, so MCP
tools are visible in CLI mode too
- Remove redundant platform_key reassignment in _run_background_task
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Previously _agent_config_signature() used only the first 8 characters of
the API key, which causes false cache hits for JWT/OAuth tokens that share
a common prefix (e.g. 'eyJhbGci'). This led to cross-account cache
collisions when switching OAuth accounts in multi-user gateway deployments.
Replace the 8-char prefix with a SHA-256 hash of the full key so the
signature is unique per credential while keeping secrets out of the
cache key.
Salvaged from PR #3117 by EmpireOperating.
Co-authored-by: EmpireOperating <EmpireOperating@users.noreply.github.com>
Salvages PR #3005 by web3blind. Cherry-picked onto current main with functional skill binding and docs added.
- DM topic creation via createForumTopic (Bot API 9.4, Feb 2026)
- Config-driven topics with thread_id persistence across restarts
- Session isolation via existing build_session_key thread_id support
- auto_skill field on MessageEvent for topic-skill bindings
- Gateway auto-loads bound skill on new sessions (same as /skill commands)
- Docs: full Private Chat Topics section in Telegram messaging guide
- 20 tests (17 original + 3 for auto_skill)
Closes#2598
Co-authored-by: web3blind <web3blind@users.noreply.github.com>
The default SOUL.md seeded for new users should match
DEFAULT_AGENT_IDENTITY — a short, neutral identity paragraph.
The elaborate voice spec (avoid lists, dialogue examples, symbol
conventions) was never intended as the default for all users.
Users who want a custom persona write their own SOUL.md.
The non-streaming API call path (_interruptible_api_call) had no
wall-clock timeout. When providers keep connections alive with SSE
keep-alive pings but never deliver a response, httpx's inactivity
timeout never fires and the call hangs indefinitely.
Subagents always used the non-streaming path because they have no
stream consumers (quiet_mode=True). This caused delegate_task to
hang for 40+ minutes in production.
The streaming path has two layers of protection:
- httpx read timeout (60s, HERMES_STREAM_READ_TIMEOUT)
- Stale stream detection (90s, HERMES_STREAM_STALE_TIMEOUT)
Both work because streaming sends chunks continuously — a 90-second
gap between chunks genuinely means the connection is broken, even for
reasoning models that take minutes to complete.
Now run_conversation() always prefers the streaming path. The streaming
method falls back to non-streaming automatically if the provider
doesn't support it. Stream delta callbacks are no-ops when no
consumers are registered, so there's no overhead for subagents.
run_conversation raised the raw exception after exhausting retries,
which crashed the background thread in cli.py (unhandled exception
in Thread). Now returns a proper error result dict with failed=True
and persists the session, matching the pattern used by other error
paths (invalid responses, empty content, etc.).
Also wraps cli.py's run_agent thread function in try/except as a
safety net against any future unhandled exceptions from
run_conversation.
Made-with: Cursor
When an agent thread hangs (truly blocked, never checks _interrupt_requested),
/stop now force-cleans _running_agents to unlock the session immediately.
Two changes:
- Early /stop intercept in the running-agent guard: bypasses normal command
dispatch to force-interrupt and unlock the session. Follows the same pattern
as the existing /new intercept.
- Sentinel /stop: force-cleans the sentinel instead of returning 'nothing to
stop yet', so /stop during slow startup actually unlocks the session.
Follow-up improvements over original PR:
- Consolidated duplicate resolve_command imports into single early resolution
- Updated _handle_stop_command to also force-clean for consistency
- Removed 10-minute hard timeout on the executor (would kill legitimate
long-running agent tasks; the /stop force-clean handles recovery)
Cherry-picked from Mibayy's PR #2498.
Co-authored-by: Mibayy <Mibayy@users.noreply.github.com>
The recursive os.walk for AGENTS.md in subdirectories was undesired.
Only load AGENTS.md from the working directory root, matching the
behavior of CLAUDE.md and .cursorrules.
Remove run_hermes_oauth_login(), refresh_hermes_oauth_token(),
read_hermes_oauth_credentials(), _save_hermes_oauth_credentials(),
_generate_pkce(), and associated constants/credential file path.
This code was added in 63e88326 but never wired into any user-facing
flow (setup wizard, hermes model, or any CLI command). Neither
clawdbot/OpenClaw nor opencode implement PKCE for Anthropic — both
use setup-token or API keys. Dead code that was never tested in
production.
Also removes the credential resolution step that checked
~/.hermes/.anthropic_oauth.json (step 3 in resolve_anthropic_token),
renumbering remaining steps.
reset_session_state() was missing two fields added after it was written:
- _user_turn_count: kept accumulating across sessions, affecting
flush_min_turns guard behavior
- context_compressor._previous_summary: old session's compression
summary leaked into new session's iterative compression
Cherry-picked from PR #2640 by dusterbloom. Closes#2635.
sessions delete and prune call input() for confirmation without
catching EOFError. When stdin isn't a TTY (piped input, CI/CD, cron),
input() throws EOFError and the command crashes.
Extract a _confirm_prompt() helper that handles EOFError and
KeyboardInterrupt, defaulting to cancel. Both call sites now use it.
Salvaged from PR #2622 by dieutx (improved from duplicated try/except
to shared helper). Closes#2565.
