The everywhere release — Hermes goes mobile with Termux/Android, adds
iMessage and WeChat, ships Fast Mode for OpenAI and Anthropic,
introduces background process monitoring, launches a local web
dashboard, and delivers the deepest security hardening pass yet
across 16 supported platforms.
487 commits, 269 merged PRs, 167 resolved issues, 24 contributors.
Cherry-picked from PR #7637 by hcshen0111.
Adds kimi-coding-cn provider with dedicated KIMI_CN_API_KEY env var
and api.moonshot.cn/v1 endpoint for China-region Moonshot users.
- Wrap module-level import from agent.anthropic_adapter in try/except
so hermes web still starts if the adapter is unavailable; Phase 2
PKCE endpoints return 501 in that case.
- Change authorize URL from console.anthropic.com to claude.ai to
match the canonical adapter code.
Add OAuth provider management to the Hermes dashboard with full
lifecycle support for Anthropic (PKCE), Nous and OpenAI Codex
(device-code) flows.
## Backend (hermes_cli/web_server.py)
- 6 new API endpoints:
GET /api/providers/oauth — list providers with connection status
POST /api/providers/oauth/{id}/start — initiate PKCE or device-code
POST /api/providers/oauth/{id}/submit — exchange PKCE auth code
GET /api/providers/oauth/{id}/poll/{session} — poll device-code
DELETE /api/providers/oauth/{id} — disconnect provider
DELETE /api/providers/oauth/sessions/{id} — cancel pending session
- OAuth constants imported from anthropic_adapter (no duplication)
- Blocking I/O wrapped in run_in_executor for async safety
- In-memory session store with 15-minute TTL and automatic GC
- Auth token required on all mutating endpoints
## Frontend
- OAuthLoginModal — PKCE (paste auth code) and device-code (poll) flows
- OAuthProvidersCard — status, token preview, connect/disconnect actions
- Toast fix: createPortal to document.body for correct z-index
- App.tsx: skip animation key bump on initial mount (prevent double-mount)
- Integrated into the Env/Keys page
Previously, long-running streamed responses could be incorrectly treated
as idle by the gateway/cron inactivity timeout even while tokens were
actively arriving. The _touch_activity() call (which feeds
get_activity_summary() polled by the external timeout) was either called
only on the first chunk (chat completions) or not at all (Anthropic,
Codex, Codex fallback).
Add _touch_activity() on every chunk/event in all four streaming paths
so the inactivity monitor knows data is still flowing.
Fixes#8760
The v11→v12 migration converts custom_providers (list) into providers
(dict), then deletes the list. But all runtime resolvers read from
custom_providers — after migration, named custom endpoints silently stop
resolving and fallback chains fail with AuthError.
Add get_compatible_custom_providers() that reads from both config schemas
(legacy custom_providers list + v12+ providers dict), normalizes entries,
deduplicates, and returns a unified list. Update ALL consumers:
- hermes_cli/runtime_provider.py: _get_named_custom_provider() + key_env
- hermes_cli/auth_commands.py: credential pool provider names
- hermes_cli/main.py: model picker + _model_flow_named_custom()
- agent/auxiliary_client.py: key_env + custom_entry model fallback
- agent/credential_pool.py: _iter_custom_providers()
- cli.py + gateway/run.py: /model switch custom_providers passthrough
- run_agent.py + gateway/run.py: per-model context_length lookup
Also: use config.pop() instead of del for safer migration, fix stale
_config_version assertions in tests, add pool mock to codex test.
Co-authored-by: 墨綠BG <s5460703@gmail.com>
Closes#8776, salvaged from PR #8814
The existing ASCII codec handler only sanitized conversation messages,
leaving tool schemas, system prompts, ephemeral prompts, prefill messages,
and HTTP headers as unhandled sources of non-ASCII content. On systems
with LANG=C or non-UTF-8 locale, Unicode symbols in tool descriptions
(e.g. arrows, em-dashes from prompt_builder) and system prompt content
would cause UnicodeEncodeError that fell through to the error path.
Changes:
- Add _sanitize_structure_non_ascii() generic recursive walker for
nested dict/list payloads
- Add _sanitize_tools_non_ascii() thin wrapper for tool schemas
- Add _force_ascii_payload flag: once ASCII locale is detected, all
subsequent API calls get proactively sanitized (prevents recurring
failures from new tool results bringing fresh Unicode each turn)
- Extend the ASCII codec error handler to sanitize: prefill_messages,
tool schemas (self.tools), system prompt, ephemeral system prompt,
and default HTTP headers
- Update stale comment that acknowledged the gap
Cherry-picked from PR #8834 (credential pool changes dropped as
separate concern).
The cherry-picked code passed the env var NAME (e.g. 'MY_API_KEY') as the
api_key value. The caller's has_usable_secret() check would reject the
var name, so the actual key was never used. Now we os.getenv() the
key_env value to get the real API key before returning it.
Two fixes for user-defined providers in config.yaml:
1. list_authenticated_providers() - now includes full models list from
providers.*.models array, not just default_model. This fixes /model
showing only one model when multiple are configured.
2. _get_named_custom_provider() - now checks providers: dict (new-style)
in addition to custom_providers: list (legacy). This fixes credential
resolution errors when switching models via /model command.
Both changes are backwards compatible with existing custom_providers list format.
Fixes: Only one model appears for custom providers in /model selection
On macOS, /etc is a symlink to /private/etc, so os.path.realpath()
resolves /etc/hosts to /private/etc/hosts. The sensitive path check
only matched /etc/ prefixes against the resolved path, allowing
writes to system files on macOS.
- Add /private/etc/ and /private/var/ to _SENSITIVE_PATH_PREFIXES
- Check both realpath-resolved and normpath-normalized paths
- Add regression tests for macOS symlink bypass
Closes#8734
Co-authored-by: ElhamDevelopmentStudio (PR #8829)
These functions were duplicated between auth.py and copilot_auth.py.
The auth.py copies had zero production callers — only copilot_auth.py's
versions are used. Redirect the test import to the live copy and update
monkeypatch targets accordingly.
When GITHUB_TOKEN is present in the environment (e.g. for gh CLI or
GitHub Actions), two issues broke Copilot authentication against
GitHub Enterprise (GHE) instances:
1. The copilot provider had no base_url_env_var, so COPILOT_API_BASE_URL
was silently ignored — requests always went to public GitHub.
2. `gh auth token` (the CLI fallback) treats GITHUB_TOKEN as an override
and echoes it back instead of reading from its credential store
(hosts.yml). This caused the same rejected token to be used even
after env var priority correctly skipped it.
Fix:
- Add base_url_env_var="COPILOT_API_BASE_URL" to copilot ProviderConfig
- Strip GITHUB_TOKEN/GH_TOKEN from the subprocess env when calling
`gh auth token` so it reads from hosts.yml
- Pass --hostname from COPILOT_GH_HOST when set so gh returns the
GHE-specific OAuth token
resolve_vision_provider_client() computed resolved_api_mode from config
but never passed it to downstream resolve_provider_client() or
_get_cached_client() calls, causing custom providers with
api_mode: anthropic_messages to crash when used for vision tasks.
Also remove the for_vision special case in _normalize_aux_provider()
that incorrectly discarded named custom provider identifiers.
Fixes#8857
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Remove the backward-compat code paths that read compression provider/model
settings from legacy config keys and env vars, which caused silent failures
when auto-detection resolved to incompatible backends.
What changed:
- Remove compression.summary_model, summary_provider, summary_base_url from
DEFAULT_CONFIG and cli.py defaults
- Remove backward-compat block in _resolve_task_provider_model() that read
from the legacy compression section
- Remove _get_auxiliary_provider() and _get_auxiliary_env_override() helper
functions (AUXILIARY_*/CONTEXT_* env var readers)
- Remove env var fallback chain for per-task overrides
- Update hermes config show to read from auxiliary.compression
- Add config migration (v16→17) that moves non-empty legacy values to
auxiliary.compression and strips the old keys
- Update example config and openclaw migration script
- Remove/update tests for deleted code paths
Compression model/provider is now configured exclusively via:
auxiliary.compression.provider / auxiliary.compression.model
Closes#8923
Updated the acquire_scoped_lock function to treat empty or corrupt lock files as stale. This change ensures that if a lock file exists but is invalid, it will be removed to prevent issues with stale locks. Added tests to verify recovery from both empty and corrupt lock files.
Add <thought>(.*?)</thought> to inline_patterns so Gemma 4
reasoning content is captured for /reasoning display, not just
stripped from visible output.
Closes#8891
Co-authored-by: RhushabhVaghela <rhushabhvaghela@users.noreply.github.com>
Three targeted changes to close the gaps between retry layers that
caused users to experience 'No response from provider for 580s' and
'No activity for 15 minutes' despite having 5 layers of retry:
1. Remove non-streaming fallback from streaming path
Previously, when all 3 stream retries exhausted, the code fell back
to _interruptible_api_call() which had no stale detection and no
activity tracking — a black hole that could hang for up to 1800s.
Now errors propagate to the main retry loop which has richer recovery
(credential rotation, provider fallback, backoff).
For 'stream not supported' errors, sets _disable_streaming flag so
the main retry loop automatically switches to non-streaming on the
next attempt.
2. Add _touch_activity to recovery dead zones
The gateway inactivity monitor relies on _touch_activity() to know
the agent is alive, but activity was never touched during:
- Stale stream detection/kill cycles (180-300s gaps)
- Stream retry connection rebuilds
- Main retry backoff sleeps (up to 120s)
- Error recovery classification
Now all these paths touch activity every ~30s, keeping the gateway
informed during recovery cycles.
3. Add stale-call detector to non-streaming path
_interruptible_api_call() now has the same stale detection pattern
as the streaming path: kills hung connections after 300s (default,
configurable via HERMES_API_CALL_STALE_TIMEOUT), scaled for large
contexts (450s for 50K+ tokens, 600s for 100K+ tokens), disabled
for local providers.
Also touches activity every ~30s during the wait so the gateway
monitor stays informed.
Env vars:
- HERMES_API_CALL_STALE_TIMEOUT: non-streaming stale timeout (default 300s)
- HERMES_STREAM_STALE_TIMEOUT: unchanged (default 180s)
Before: worst case ~2+ hours of sequential retries with no feedback
After: worst case bounded by gateway inactivity timeout (default 1800s)
with continuous activity reporting
Three-tier match strategy for _truncate_around_matches():
1. Full-phrase search (exact query string positions)
2. Proximity co-occurrence (all terms within 200 chars)
3. Individual terms (fallback, preserves existing behavior)
Sliding window picks the start offset covering the most matches.
Moved inline import re to module level.
Co-authored-by: Al Sayed Hoota <78100282+AlsayedHoota@users.noreply.github.com>
- Store source metadata on /voice channel join so voice input shares the
same session as the linked text channel conversation
- Treat voice-linked text channels as free-response (skip @mention and
auto-thread) while voice is active
- Scope the voice-linked exemption to the exact bound channel, not
sibling threads
- Guard signal handler registration in start_gateway() for non-main
threads (prevents RuntimeError when gateway runs in a daemon thread)
- Clean up _voice_sources on leave_voice_channel
Salvaged from PR #3475 by twilwa (Modal runtime portions excluded).
Three changes consolidated into the existing backup system:
1. Fix: hermes backup now uses sqlite3.Connection.backup() for .db files
instead of raw file copy. Raw copy of a WAL-mode database can produce
a corrupted backup — the backup() API handles this correctly.
2. hermes backup --quick: fast snapshot of just critical state files
(config.yaml, state.db, .env, auth.json, cron/jobs.json, etc.)
stored in ~/.hermes/state-snapshots/. Auto-prunes to 20 snapshots.
3. /snapshot slash command (alias /snap): in-session interface for
quick state snapshots. create/list/restore/prune subcommands.
Restore by ID or number. Powered by the same backup module.
No new modules — everything lives in hermes_cli/backup.py alongside
the existing full backup/import code.
No hooks in run_agent.py — purely on-demand, zero runtime overhead.
Closes the use case from PRs #8406 and #7813 with ~200 lines of new
logic instead of a 1090-line content-addressed storage engine.
The cron API returns schedule as {kind, expr, display} object but
CronPage.tsx rendered it directly as a React child, crashing with
'Objects are not valid as a React child'.
- Update CronJob interface in api.ts to match actual API response
- Use schedule_display (string) instead of schedule (object)
- Use state instead of status for job state
- Use last_error instead of error for error display
When HTTPS_PROXY / HTTP_PROXY / ALL_PROXY env vars are set (or macOS system proxy
is detected), pass the proxy URL explicitly via HTTPXRequest(proxy=proxy_url) instead
of relying on httpx's trust_env mechanism, which is unreliable for HTTP CONNECT
proxies (e.g. Clash / ClashMac in fake-ip mode).
Uses the shared resolve_proxy_url() from base.py (handles env vars + macOS system
proxy detection) instead of duplicating env var reading inline. Consolidates the
proxy_configured boolean into a single proxy_url = resolve_proxy_url() call that
serves as both the gate for skipping fallback-IP transport and the value passed
to HTTPXRequest.
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
Salvaged from PR #8931 by MaybeRichard.
Prevents UTF-8 encoding crash when pasting text from Word or Google Docs,
which may contain lone surrogate code points (U+D800-U+DFFF).
Reuses existing _sanitize_surrogates() from run_agent module.
Remove read_json_file, read_jsonl, append_jsonl, env_str, env_lower —
all added in #7917 but never imported anywhere in the codebase. Also
remove unused List and Optional typing imports.
env_int, env_bool, and the other helpers that have real consumers are
kept.
- Move test file to tests/hermes_cli/ (consistent with test layout)
- Remove unused imports (os, pytest) from test file
- Update _sanitize_env_lines docstring: now used on read + write paths
When .env files become corrupted (e.g. concatenated KEY=VALUE pairs on
a single line due to concurrent writes or encoding issues), both
python-dotenv and load_env() would parse the entire concatenated string
as a single value. This caused bot tokens to appear duplicated up to 8×,
triggering InvalidToken errors from the Telegram API.
Root cause: _sanitize_env_lines() — which correctly splits concatenated
lines — was only called during save_env_value() writes, not during reads.
Fix:
- load_env() now calls _sanitize_env_lines() before parsing
- env_loader.load_hermes_dotenv() sanitizes the .env file on disk
before python-dotenv reads it, so os.getenv() also returns clean values
- Added tests reproducing the exact corruption pattern from #8908Closes#8908
The startup warning that Nous Research Hermes 3 & 4 models are not agentic
fired on any model whose name contained "hermes" anywhere, via a plain
substring check. That false-positived on unrelated local Modelfiles such
as `hermes-brain:qwen3-14b-ctx16k` — a tool-capable Qwen3 wrapper that
happens to live under a custom "hermes" tag namespace — making the warning
noise for legitimate setups.
Replace the substring check with a narrow regex anchored on `^`, `/`, or
`:` boundaries that only matches the real Hermes-3 / Hermes-4 chat family
(e.g. `NousResearch/Hermes-3-Llama-3.1-70B`, `hermes-4-405b`,
`openrouter/hermes3:70b`). Consolidate into a single helper
`is_nous_hermes_non_agentic()` in `hermes_cli.model_switch` so the CLI
and the canonical check don't drift, and route the duplicate inline site
in `cli.HermesCLI._print_warnings()` through the helper.
Add a parametrized test covering positive matches (real Hermes-3/-4
names) and a broad set of negatives (custom Modelfiles, Qwen/Claude/GPT,
older Nous-Hermes-2 families, bare "hermes", empty string, and the
"brain-hermes-3-impostor" boundary case).
_query_local_context_length was checking model_info.context_length
(the GGUF training max) before num_ctx (the Modelfile runtime override),
inverse to query_ollama_num_ctx. The two helpers therefore disagreed on
the same model:
hermes-brain:qwen3-14b-ctx32k # Modelfile: num_ctx 32768
underlying qwen3:14b GGUF # qwen3.context_length: 40960
query_ollama_num_ctx correctly returned 32768 (the value Ollama will
actually allocate KV cache for). _query_local_context_length returned
40960, which let ContextCompressor grow conversations past 32768 before
triggering compression — at which point Ollama silently truncated the
prefix, corrupting context.
Swap the order so num_ctx is checked first, matching query_ollama_num_ctx.
Adds a parametrized test that seeds both values and asserts num_ctx wins.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The terminal and execute_code tool schemas unconditionally mentioned
'cloud sandboxes' in their descriptions sent to the model. This caused
agents running on local backends to believe they were in a sandboxed
environment, refusing networking tasks and other operations. Worse,
agents sometimes saved this false belief to persistent memory, making
it persist across sessions.
Reported by multiple users (XLion, 林泽).
The post-loop grace call mechanism was broken: it injected a user
message and set _budget_grace_call=True, but could never re-enter the
while loop (already exited). Worse, the flag blocked the fallback
_handle_max_iterations from running, so final_response stayed None.
Users saw empty/no response when the agent hit max iterations.
Fix: remove the dead grace block and let _handle_max_iterations handle
it directly — it already injects a summary request and makes one extra
toolless API call.
When streaming fails after partial content delivery (e.g. OpenRouter
timeout kills connection mid-response), the stub response now carries
the accumulated streamed text instead of content=None.
Two fixes:
1. The partial-stream stub response includes recovered content from
_current_streamed_assistant_text — the text that was already
delivered to the user via stream callbacks before the connection
died.
2. The empty response recovery chain now checks for partial stream
content BEFORE falling back to _last_content_with_tools (prior
turn content) or wasting API calls on retries. This prevents:
- Showing wrong content from a prior turn
- Burning 3+ unnecessary retry API calls
- Falling through to '(empty)' when the user already saw content
The root cause: OpenRouter has a ~125s inactivity timeout. When
Anthropic's SSE stream goes silent during extended reasoning, the
proxy kills the connection. The model's text was already partially
streamed but the stub discarded it, triggering the empty recovery
chain which would show stale prior-turn content or waste retries.
- New docs page: user-guide/features/web-dashboard.md covering
quick start, prerequisites, all three pages (Status, Config, API Keys),
the /reload slash command, REST API endpoints, CORS config, and
development workflow
- Added 'Management' category in sidebar for web-dashboard
- Added 'hermes web' to CLI commands reference with options table
- Added '/reload' to slash commands reference (both CLI and gateway tables)
_remap_path_for_user was calling .resolve() on the Python path, which
followed venv/bin/python into the base interpreter. On uv-managed venvs
this swaps the systemd ExecStart to a bare Python that has none of the
venv's site-packages, so the service crashes on first import. Classical
python -m venv installs were unaffected by accident: the resolved target
/usr/bin/python3.x lives outside $HOME so the path-remap branch was
skipped and the system Python's packages silently worked.
Remove .resolve() calls on both current_home and the path; use
.expanduser() for lexical tilde expansion only. The function does
lexical prefix substitution, which is all it needs to do for its
actual purpose (remapping /root/.hermes -> /home/<user>/.hermes when
installing system services as root for a different user).
Repro: on a uv-managed venv install, `sudo hermes gateway install
--system` writes ExecStart=.../uv/python/cpython-3.11.15-.../bin/python3.11
instead of .../hermes-agent/venv/bin/python, and the service crashes on
ModuleNotFoundError: yaml.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The detached bash subprocess spawned by /restart gets killed by
systemd's KillMode=mixed cgroup cleanup, leaving the gateway dead.
Under systemd (detected via INVOCATION_ID env var), /restart now uses
via_service=True which exits with code 75 — RestartForceExitStatus=75
in the unit file makes systemd auto-restart the service. The detached
subprocess approach is preserved as fallback for non-systemd
environments (Docker, tmux, foreground mode).
* feat: web UI dashboard for managing Hermes Agent (salvage of #8204/#7621)
Adds an embedded web UI dashboard accessible via `hermes web`:
- Status page: agent version, active sessions, gateway status, connected platforms
- Config editor: schema-driven form with tabbed categories, import/export, reset
- API Keys page: set, clear, and view redacted values with category grouping
- Sessions, Skills, Cron, Logs, and Analytics pages
Backend:
- hermes_cli/web_server.py: FastAPI server with REST endpoints
- hermes_cli/config.py: reload_env() utility for hot-reloading .env
- hermes_cli/main.py: `hermes web` subcommand (--port, --host, --no-open)
- cli.py / commands.py: /reload slash command for .env hot-reload
- pyproject.toml: [web] optional dependency extra (fastapi + uvicorn)
- Both update paths (git + zip) auto-build web frontend when npm available
Frontend:
- Vite + React + TypeScript + Tailwind v4 SPA in web/
- shadcn/ui-style components, Nous design language
- Auto-refresh status page, toast notifications, masked password inputs
Security:
- Path traversal guard (resolve().is_relative_to()) on SPA file serving
- CORS localhost-only via allow_origin_regex
- Generic error messages (no internal leak), SessionDB handles closed properly
Tests: 47 tests covering reload_env, redact_key, API endpoints, schema
generation, path traversal, category merging, internal key stripping,
and full config round-trip.
Original work by @austinpickett (PR #1813), salvaged by @kshitijk4poor
(PR #7621 → #8204), re-salvaged onto current main with stale-branch
regressions removed.
* fix(web): clean up status page cards, always rebuild on `hermes web`
- Remove config version migration alert banner from status page
- Remove config version card (internal noise, not surfaced in TUI)
- Reorder status cards: Agent → Gateway → Active Sessions (3-col grid)
- `hermes web` now always rebuilds from source before serving,
preventing stale web_dist when editing frontend files
* feat(web): full-text search across session messages
- Add GET /api/sessions/search endpoint backed by FTS5
- Auto-append prefix wildcards so partial words match (e.g. 'nimb' → 'nimby')
- Debounced search (300ms) with spinner in the search icon slot
- Search results show FTS5 snippets with highlighted match delimiters
- Expanding a search hit auto-scrolls to the first matching message
- Matching messages get a warning ring + 'match' badge
- Inline term highlighting within Markdown (text, bold, italic, headings, lists)
- Clear button (x) on search input for quick reset
---------
Co-authored-by: emozilla <emozilla@nousresearch.com>
When a user sends /restart, the gateway now persists their routing info
(platform, chat_id, thread_id) to .restart_notify.json. After the new
gateway process starts and adapters connect, it reads the file, sends a
'Gateway restarted successfully' message to that specific chat, and
cleans up the file.
This follows the same pattern as _send_update_notification (used by
/update). Thread IDs are preserved so the notification lands in the
correct Telegram topic or Discord thread.
Previously, after /restart the user had no feedback that the gateway was
back — they had to send a message to find out. Now they get a proactive
notification and know their session continues.
PR #4654 replaced ml-paper-writing with research-paper-writing, preserving
the writing philosophy and reference files but dropping the dedicated
'Sources Behind This Guidance' attribution table from the SKILL.md body.
Re-adds:
- The researcher attribution table (Nanda, Farquhar, Gopen & Swan, Lipton,
Steinhardt, Perez, Karpathy) with affiliations and links to SKILL.md
- Orchestra Research credit as original compiler of the writing philosophy
- 'Origin & Attribution' section in sources.md documenting the full chain:
Nanda blog → Orchestra skill → teknium integration → SHL0MS expansion
OpenCode Zen was in _DOT_TO_HYPHEN_PROVIDERS, causing all dotted model
names (minimax-m2.5-free, gpt-5.4, glm-5.1) to be mangled. The fix:
Layer 1 (model_normalize.py): Remove opencode-zen from the blanket
dot-to-hyphen set. Add an explicit block that preserves dots for
non-Claude models while keeping Claude hyphenated (Zen's Claude
endpoint uses anthropic_messages mode which expects hyphens).
Layer 2 (run_agent.py _anthropic_preserve_dots): Add opencode-zen and
zai to the provider allowlist. Broaden URL check from opencode.ai/zen/go
to opencode.ai/zen/ to cover both Go and Zen endpoints. Add bigmodel.cn
for ZAI URL detection.
Also adds glm-5.1 to ZAI model lists in models.py and setup.py.
Closes#7710
Salvaged from contributions by:
- konsisumer (PR #7739, #7719)
- DomGrieco (PR #8708)
- Esashiero (PR #7296)
- sharziki (PR #7497)
- XiaoYingGee (PR #8750)
- APTX4869-maker (PR #8752)
- kagura-agent (PR #7157)
When tool_preview_length is 0 (default for platforms without a tier
default, like Session), verbose mode was truncating args JSON to 200
characters. Since the user explicitly opted into verbose mode, they
expect full tool call detail — the 200-char cap defeated the purpose.
Now: tool_preview_length=0 means no truncation in verbose mode.
Positive values still cap as before. Platform message-length limits
handle overflow naturally.
* fix(telegram): use UTF-16 code units for message length splitting
Port from nearai/ironclaw#2304: Telegram's 4096 character limit is
measured in UTF-16 code units, not Unicode codepoints. Characters
outside the Basic Multilingual Plane (emoji like 😀, CJK Extension B,
musical symbols) are surrogate pairs: 1 Python char but 2 UTF-16 units.
Previously, truncate_message() used Python's len() which counts
codepoints. This could produce chunks exceeding Telegram's actual limit
when messages contain many astral-plane characters.
Changes:
- Add utf16_len() helper and _prefix_within_utf16_limit() for
UTF-16-aware string measurement and truncation
- Add _custom_unit_to_cp() binary-search helper that maps a custom-unit
budget to the largest safe codepoint slice position
- Update truncate_message() to accept optional len_fn parameter
- Telegram adapter now passes len_fn=utf16_len when splitting messages
- Fix fallback truncation in Telegram error handler to use
_prefix_within_utf16_limit instead of codepoint slicing
- Update send_message_tool.py to use utf16_len for Telegram platform
- Add comprehensive tests: utf16_len, _prefix_within_utf16_limit,
truncate_message with len_fn (emoji splitting, content preservation,
code block handling)
- Update mock lambdas in reply_mode tests to accept **kw for len_fn
* fix: resolve npm audit vulnerabilities in browser tools and whatsapp bridge
Browser tools (agent-browser):
- Override lodash to 4.18.1 (fixes prototype pollution CVEs in transitive
dep via node-simctl → @appium/logger). Not reachable in Hermes's code
path but cleans the audit report.
- basic-ftp and brace-expansion updated via npm audit fix.
WhatsApp bridge:
- file-type updated (fixes infinite loop in ASF parser + ZIP bomb DoS)
- music-metadata updated (fixes infinite loop in ASF parser)
- path-to-regexp updated (fixes ReDoS, mitigated by localhost binding)
Both components now report 0 npm vulnerabilities.
Ref: https://gist.github.com/jacklevin74/b41b710d3e20ba78fb7e2d42e2b83819
Three changes that address the poor WhatsApp experience reported by users:
1. Reclassify WhatsApp from TIER_LOW to TIER_MEDIUM in display_config.py
— enables streaming and tool progress via the existing Baileys /edit
bridge endpoint. Users now see progressive responses instead of
minutes of silence followed by a wall of text.
2. Lower MAX_MESSAGE_LENGTH from 65536 to 4096 and add proper chunking
— send() now calls format_message() and truncate_message() before
sending, then loops through chunks with a small delay between them.
The base class truncate_message() already handles code block boundary
detection (closes/reopens fences at chunk boundaries). reply_to is
only set on the first chunk.
3. Override format_message() with WhatsApp-specific markdown conversion
— converts **bold** to *bold*, ~~strike~~ to ~strike~, headers to
bold text, and [links](url) to text (url). Code blocks and inline
code are protected from conversion via placeholder substitution.
Together these fix the two user complaints:
- 'sends the whole code all the time' → now chunked at 4K with proper
formatting
- 'terminal gets interrupted and gets cooked' → streaming + tool progress
give visual feedback so users don't accidentally interrupt with
follow-up messages
When resuming a session with --resume or -c, the last assistant response
was truncated to 200 chars / 3 lines just like older messages in the recap.
This forced users to waste tokens re-asking for the response.
Now the last assistant message in the recap is shown in full with non-dim
styling, so users can see exactly where they left off. Earlier messages
remain truncated for compact display.
Changes:
- Track un-truncated text for the last assistant entry during collection
- Replace last entry with full text after history trimming
- Render last assistant entry with bold (non-dim) styling
- Update existing truncation tests to use multi-message histories
- Add new tests for full last response display (char + multiline)
Port from nearai/ironclaw#2304: Telegram's 4096 character limit is
measured in UTF-16 code units, not Unicode codepoints. Characters
outside the Basic Multilingual Plane (emoji like 😀, CJK Extension B,
musical symbols) are surrogate pairs: 1 Python char but 2 UTF-16 units.
Previously, truncate_message() used Python's len() which counts
codepoints. This could produce chunks exceeding Telegram's actual limit
when messages contain many astral-plane characters.
Changes:
- Add utf16_len() helper and _prefix_within_utf16_limit() for
UTF-16-aware string measurement and truncation
- Add _custom_unit_to_cp() binary-search helper that maps a custom-unit
budget to the largest safe codepoint slice position
- Update truncate_message() to accept optional len_fn parameter
- Telegram adapter now passes len_fn=utf16_len when splitting messages
- Fix fallback truncation in Telegram error handler to use
_prefix_within_utf16_limit instead of codepoint slicing
- Update send_message_tool.py to use utf16_len for Telegram platform
- Add comprehensive tests: utf16_len, _prefix_within_utf16_limit,
truncate_message with len_fn (emoji splitting, content preservation,
code block handling)
- Update mock lambdas in reply_mode tests to accept **kw for len_fn
Adds /debug as a slash command available in CLI, Telegram, Discord,
Slack, and all other gateway platforms. Uploads debug report + full
logs to paste services and returns shareable URLs.
- commands.py: CommandDef in Info category (no cli_only/gateway_only)
- gateway/run.py: async handler with run_in_executor for blocking I/O
- cli.py: dispatch in process_command to run_debug_share
Port from openclaw/openclaw#64586: users who copy .env.example without
changing placeholder values now get a clear error at startup instead of
a confusing auth failure from the platform API. Also rejects placeholder
API_SERVER_KEY when binding to a network-accessible address.
Cherry-picked from PR #8677.
Port from openclaw/openclaw#64796: Per MSC3952 / Matrix v1.7, the
m.mentions.user_ids field is the authoritative mention signal. Clients
that populate m.mentions but don't duplicate @bot in the body text
were being silently dropped when MATRIX_REQUIRE_MENTION=true.
Cherry-picked from PR #8673.
* feat: add `hermes debug share` — upload debug report to pastebin
Adds a new `hermes debug share` command that collects system info
(via hermes dump), recent logs (agent.log, errors.log, gateway.log),
and uploads the combined report to a paste service (paste.rs primary,
dpaste.com fallback). Returns a shareable URL for support.
Options:
--lines N Number of log lines per file (default: 200)
--expire N Paste expiry in days (default: 7, dpaste.com only)
--local Print report locally without uploading
Files:
hermes_cli/debug.py - New module: paste upload + report collection
hermes_cli/main.py - Wire cmd_debug + argparse subparser
tests/hermes_cli/test_debug.py - 19 tests covering upload, collection, CLI
* feat: upload full agent.log and gateway.log as separate pastes
hermes debug share now uploads up to 3 pastes:
1. Summary report (system info + log tails) — always
2. Full agent.log (last ~500KB) — if file exists
3. Full gateway.log (last ~500KB) — if file exists
Each paste uploads independently; log upload failures are noted
but don't block the main report. Output shows all links aligned:
Report https://paste.rs/abc
agent.log https://paste.rs/def
gateway.log https://paste.rs/ghi
Also adds _read_full_log() with size-capped tail reading to stay
within paste service limits (~512KB per file).
* feat: prepend hermes dump to each log paste for self-contained context
Each paste (agent.log, gateway.log) now starts with the hermes dump
output so clicking any single link gives full system context without
needing to cross-reference the summary report.
Refactored dump capture into _capture_dump() — called once and
reused across the summary report and each log paste.
* fix: fall back to .1 rotated log when primary log is missing or empty
When gateway.log (or agent.log) doesn't exist or is empty, the debug
share now checks for the .1 rotation file. This is common — the
gateway rotates logs and the primary file may not exist yet.
Extracted _resolve_log_path() to centralize the fallback logic for
both _read_log_tail() and _read_full_log().
* chore: remove unused display_hermes_home import
Some OpenAI-compatible clients (Open WebUI, LobeChat, etc.) send
message content as an array of typed parts instead of a plain string:
[{"type": "text", "text": "hello"}]
The agent pipeline expects strings, so these array payloads caused
silent failures or empty messages.
Add _normalize_chat_content() with defensive limits (recursion depth,
list size, output length) and apply it to both the Chat Completions
and Responses API endpoints. The Responses path had inline
normalization that only handled input_text/output_text — the shared
function also handles the standard 'text' type.
Salvaged from PR #7980 (ikelvingo) — only the content normalization;
the SSE and Weixin changes in that PR were regressions and are not
included.
Co-authored-by: ikelvingo <ikelvingo@users.noreply.github.com>
Adds a one-line entry for HermesClaw (community WeChat bridge) to the Community section. It lets users run Hermes Agent and OpenClaw on the same WeChat account.
aiohttp.ClientSession defaults to trust_env=False, ignoring HTTP_PROXY/
HTTPS_PROXY env vars. This causes QR login and all API calls to fail for
users behind a proxy (e.g. Clash in fake-ip mode), which is common in
China where Weixin and WeCom are primarily used.
Added trust_env=True to all aiohttp.ClientSession instantiations that
connect to external hosts (weixin: 3 places, wecom: 1, matrix: 1).
WhatsApp sessions are excluded as they only connect to localhost.
httpx-based adapters (dingtalk, signal, wecom_callback) are unaffected
as httpx defaults to trust_env=True.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Test that auxiliary.compression.context_length from config is forwarded
to get_model_context_length (positive case)
- Test that invalid/non-integer config values are silently ignored
- Fix _make_agent() to set config=None (cherry-picked code reads self.config)
_check_compression_model_feasibility() called get_model_context_length()
without passing config_context_length, so custom endpoints that do not
support /models API queries always fell through to the 128K default,
ignoring auxiliary.compression.context_length in config.yaml.
Fix: read auxiliary.compression.context_length from config and pass it
as config_context_length (highest-priority hint) so the user-configured
value is always respected regardless of API availability.
Fixes#8499
Users who set up Nous auth without explicitly selecting a model via
`hermes model` were silently falling back to anthropic/claude-opus-4.6
(the first entry in _PROVIDER_MODELS['nous']), causing unexpected
charges on their Nous plan. Move xiaomi/mimo-v2-pro to the first
position so unconfigured users default to a free model instead.
Four fixes for the Weixin/WeChat adapter, synthesized from the best
aspects of community PRs #8407, #8521, #8360, #7695, #8308, #8525,
#7531, #8144, #8251.
1. Streaming cursor (▉) stuck permanently — WeChat doesn't support
message editing, so the cursor appended during streaming can never
be removed. Add SUPPORTS_MESSAGE_EDITING = False to WeixinAdapter
and check it in gateway/run.py to use an empty cursor for non-edit
platforms. (Fixes#8307, #8326)
2. Media upload failures — two bugs in _send_file():
a) upload_full_url path used PUT (404 on WeChat CDN); now uses POST.
b) aes_key was base64(raw_bytes) but the iLink API expects
base64(hex_string); images showed as grey boxes. (Fixes#8352, #7529)
Also: unified both upload paths into _upload_ciphertext(), preferring
upload_full_url. Added send_video/send_voice methods and voice_item
media builder for audio/.silk files. Added video_md5 field.
3. Markdown links stripped — WeChat can't render [text](url), so
format_message() now converts them to 'text (url)' plaintext.
Code blocks are preserved. (Fixes#7617)
4. Blank message prevention — three guards:
a) _split_text_for_weixin_delivery('') returns [] not ['']
b) send() filters empty/whitespace chunks before _send_text_chunk
c) _send_message() raises ValueError for empty text as safety net
Community credit: joei4cm (#8407), lyonDan (#8521), SKFDJKLDG (#8360),
tomqiaozc (#7695), joshleeeeee (#8308), luoxiao6645(#8525),
longsizhuo (#7531), Astral-Yang (#8144), QingWei-Li (#8251).
Combines detection from both PRs into _detect_openclaw_processes():
- Cross-platform process scan (pgrep/tasklist/PowerShell) from PR #8102
- systemd service check from PR #8555
- Returns list[str] with details about what's found
Fixes in cleanup warning (from PR #8555):
- print_warning -> print_error/print_info (print_warning not in import chain)
- Added isatty() guard for non-interactive sessions
- Removed duplicate _check_openclaw_running() in favor of shared function
Updated all tests to match new API.
- Use PowerShell to inspect node.exe command lines on Windows,
since tasklist output does not include them.
- Also check for dedicated openclaw.exe/clawd.exe processes.
- Skip the interactive prompt in non-interactive sessions so the
preview-only behavior is preserved.
- Update tests accordingly.
Relates to #7907
Add _is_openclaw_running() and _warn_if_openclaw_running() to detect
OpenClaw processes (via pgrep/tasklist) before hermes claw migrate.
Warns the user that messaging platforms only allow one active session
per bot token, and lets them cancel or continue.
Fixes#7907
Add a CI-built skills index served from the docs site. The index is
crawled daily by GitHub Actions, resolves all GitHub paths upfront, and
is cached locally by the client. When the index is available:
- Search uses the cached index (0 GitHub API calls, was 23+)
- Install uses resolved paths from index (6 API calls for file
downloads only, was 31-45 for discovery + downloads)
Total: 68 → 6 GitHub API calls for a typical search + install flow.
Unauthenticated users (60 req/hr) can now search and install without
hitting rate limits.
Components:
- scripts/build_skills_index.py: Crawl all sources (skills.sh, GitHub
taps, official, clawhub, lobehub), batch-resolve GitHub paths via
tree API, output JSON index
- tools/skills_hub.py: HermesIndexSource class — search/fetch/inspect
backed by the index, with lazy GitHubSource for file downloads
- parallel_search_sources() skips external API sources when index is
available (0 GitHub calls for search)
- .github/workflows/skills-index.yml: twice-daily CI build + deploy
- .github/workflows/deploy-site.yml: also builds index during docs deploy
Graceful degradation: when the index is unavailable (first run, network
down, stale), all methods return empty/None and downstream sources
handle the request via direct API as before.
Skills.sh installs hit the GitHub API 45 times per install because the
same repo tree was fetched 6 times redundantly. Combined with search
(23 API calls), this totals 68 — exceeding the unauthenticated rate
limit of 60 req/hr, causing 'Could not fetch' errors for users without
a GITHUB_TOKEN.
Changes:
- Add _get_repo_tree() cache to GitHubSource — repo info + recursive
tree fetched once per repo per source instance, eliminating 10
redundant API calls (6 tree + 4 candidate 404s)
- _download_directory_via_tree returns {} (not None) when cached tree
shows path doesn't exist, skipping unnecessary Contents API fallback
- _check_rate_limit_response() detects exhausted quota and sets
is_rate_limited flag
- do_install() shows actionable hint when rate limited: set
GITHUB_TOKEN or install gh CLI
Before: 45 API calls per install (68 total with search)
After: 31 API calls per install (54 total with search — under 60/hr)
Reported by community user from Vietnam (no GitHub auth configured).
Centralize container detection in hermes_constants.is_container() with
process-lifetime caching, matching existing is_wsl()/is_termux() patterns.
Dedup _is_inside_container() in config.py to delegate to the new function.
Add _run_systemctl() wrapper that converts FileNotFoundError to RuntimeError
for defense-in-depth — all 10 bare subprocess.run(_systemctl_cmd(...)) call
sites now route through it.
Make supports_systemd_services() return False in containers and when
systemctl binary is absent (shutil.which check).
Add Docker-specific guidance in gateway_command() for install/uninstall/start
subcommands — exit 0 with helpful instructions instead of crashing.
Make 'hermes status' show 'Manager: docker (foreground)' and 'hermes dump'
show 'running (docker, pid N)' inside containers.
Fix setup_gateway() to use supports_systemd instead of _is_linux for all
systemd-related branches, and show Docker restart policy instructions in
containers.
Replace inline /.dockerenv check in voice_mode.py with is_container().
Fixes#7420
Co-authored-by: teknium1 <teknium1@users.noreply.github.com>
The backup validation checked for 'hermes_state.db' and 'memory_store.db'
as telltale markers of a valid Hermes backup zip. Neither name exists in a
real Hermes installation — the actual database file is 'state.db'
(hermes_state.py: DEFAULT_DB_PATH = get_hermes_home() / 'state.db').
A fresh Hermes installation produces:
~/.hermes/state.db (actual name)
~/.hermes/config.yaml
~/.hermes/.env
Because the marker set never matched 'state.db', a backup zip containing
only 'state.db' plus 'config.yaml' would fail validation with:
'zip does not appear to be a Hermes backup'
and the import would exit with sys.exit(1), silently rejecting a valid backup.
Fix: replace the wrong marker names with the correct filename.
Adds TestValidateBackupZip with three cases:
- state.db is accepted as a valid marker
- old wrong names (hermes_state.db, memory_store.db) alone are rejected
- config.yaml continues to pass (existing behaviour preserved)
Three fixes for the (empty) response bug affecting open reasoning models:
1. Allow retries after prefill exhaustion — models like mimo-v2-pro always
populate reasoning fields via OpenRouter, so the old 'not _has_structured'
guard on the retry path blocked retries for EVERY reasoning model after
the 2 prefill attempts. Now: 2 prefills + 3 retries = 6 total attempts
before (empty).
2. Reset prefill/retry counters on tool-call recovery — the counters
accumulated across the entire conversation, never resetting during
tool-calling turns. A model cycling empty→prefill→tools→empty burned
both prefill attempts and the third empty got zero recovery. Now
counters reset when prefill succeeds with tool calls.
3. Strip think blocks before _truly_empty check — inline <think> content
made the string non-empty, skipping both retry paths.
Reported by users on Telegram with xiaomi/mimo-v2-pro and qwen3.5 models.
Reproduced: qwen3.5-9b emits tool calls as XML in reasoning field instead
of proper function calls, causing content=None + tool_calls=None + reasoning
with embedded <tool_call> XML. Prefill recovery works but counter
accumulation caused permanent (empty) in long sessions.
Add agent.gateway_notify_interval config option (default 600s).
Set to 0 to disable periodic 'still working' notifications.
Bridged to HERMES_AGENT_NOTIFY_INTERVAL env var (same pattern as
gateway_timeout and gateway_timeout_warning).
The inactivity warning (gateway_timeout_warning) was already
configurable; this makes the wall-clock ping configurable too.
- Remove duplicate _setup_feishu() definition (old 3-line version left
behind by cherry-pick — Python picked the new one but dead code
remained)
- Remove misleading 'Disable direct messages' DM option — the Feishu
adapter has no DM policy mechanism, so 'disable' produced identical
env vars to 'pairing'. Users who chose 'disable' would still see
pairing prompts. Reduced to 3 options: pairing, allow-all, allowlist.
- Fix test_probe_returns_bot_info_on_success and
test_probe_returns_none_on_failure: patch FEISHU_AVAILABLE=True so
probe_bot() takes the SDK path when lark_oapi is not installed
Previously, all invalid API responses (choices=None) were diagnosed
as 'fast response often indicates rate limiting' regardless of actual
response time or error code. A 738s Cloudflare 524 timeout was labeled
as 'fast response' and 'possible rate limit'.
Now extracts the error code from response.error and classifies:
- 524: upstream provider timed out (Cloudflare)
- 504: upstream gateway timeout
- 429: rate limited by upstream provider
- 500/502: upstream server error
- 503/529: upstream provider overloaded
- Other codes: shown with code number
- No code + <10s: likely rate limited (timing heuristic)
- No code + >60s: likely upstream timeout
- No code + 10-60s: neutral response time
All downstream messages (retry status, final error, interrupt message)
now use the classified hint instead of generic rate-limit language.
Reported by community member Lumen Radley (MiMo provider timeouts).
auxiliary_client.py had its own regex mirroring _strip_think_blocks
but was missing the <thought> variant. Also adds test coverage for
<thought> paired and orphaned tags.
Gemma 4 (26B/31B) uses <thought>...</thought> to wrap its reasoning
output. This tag was not included in the existing list of reasoning tag
variants stripped by _strip_think_blocks(), causing raw thinking blocks
to leak into the visible response.
Added a new re.sub() line for <thought> and extended the cleanup regex
to include 'thought' alongside the existing variants.
Fixes#6148
When a user closes a terminal tab, SIGHUP exits the main thread but
the non-daemon agent_thread kept the entire Python process alive —
stuck in the API call loop with no interrupt signal. Over many
conversations, these orphan processes accumulate and cause massive
swap usage (reported: 77GB on a 32GB M1 Pro).
Changes:
- Make agent_thread daemon=True so the process exits when the main
thread finishes its cleanup. Under normal operation this changes
nothing — the main thread already waits on agent_thread.is_alive().
- Interrupt the agent in the finally/exit path so the daemon thread
stops making API calls promptly rather than being killed mid-flight.
On macOS with uv-managed Python, stdin (fd 0) can be invalid or
unregisterable with the asyncio selector, causing:
KeyError: '0 is not registered'
during prompt_toolkit's app.run() → asyncio.run() → _add_reader(0).
Three-layer fix:
1. Pre-flight fstat(0) check before app.run() — detects broken stdin
early and prints actionable guidance instead of a raw traceback.
2. Catch KeyError/OSError around app.run() as fallback for edge cases
that slip past the fstat guard.
3. Extend asyncio exception handler to suppress selector registration
KeyErrors in async callbacks.
Fixes#6393
Fresh profiles (created without --clone) now:
- Auto-seed a default SOUL.md immediately, so users have a file to
customize right away instead of discovering it only after first use
- Print a clear warning that the profile has no API keys and will
inherit from the shell environment unless configured separately
- Show the SOUL.md path for personality customization
Previously, fresh profiles started with no SOUL.md (only seeded on
first use via ensure_hermes_home), no mention of credential isolation,
and no guidance about customizing personality. Users reported confusion
about profiles using the wrong model/plan tokens and SOUL.md not
being read — both traced to operational gaps in the creation UX.
Closes#8093 (investigated: code correctly loads SOUL.md from profile
HERMES_HOME; issue was operational, not a code bug).
The _watch_update_progress() poll loop never deleted .update_prompt.json
after forwarding the prompt to the user, causing the same prompt to be
re-sent every poll cycle (2s). Two fixes:
1. Delete .update_prompt.json after forwarding — the update process only
polls for .update_response, it doesn't need the prompt file to persist.
2. Guard re-sends with _update_prompt_pending check — belt-and-suspenders
to prevent duplicates even under race conditions.
Add regression test asserting the prompt is sent exactly once.
When a user configures a provider (e.g. `hermes auth add openai-codex`)
but never selects a model via `hermes model`, the gateway and CLI would
pass an empty model string to the API, causing:
'Codex Responses request model must be a non-empty string'
Now both gateway (_resolve_session_agent_runtime) and CLI
(_ensure_runtime_credentials) detect an empty model and fill it from
the provider's first catalog entry in _PROVIDER_MODELS. This covers
all providers that have a static model list (openai-codex, anthropic,
gemini, copilot, etc.).
The fix is conservative: it only triggers when model is truly empty
and a known provider was resolved. Explicit model choices are never
overridden.
The previous wording ('If one clearly matches') set too high a threshold,
and 'If none match, proceed normally' was an easy escape hatch for lazy
models. Now:
- Lowered threshold: 'matches or is even partially relevant'
- Added MUST directive and 'err on the side of loading' guidance
- Replaced permissive closer with 'only proceed without if genuinely none
are relevant'
This should reduce cases where the agent skips loading relevant skills
unless explicitly forced.
When the gateway shuts down gracefully (hermes update, gateway restart,
/restart), it now writes a .clean_shutdown marker file. On the next
startup, if this marker exists, suspend_recently_active() is skipped
and the marker is cleaned up.
Previously, suspend_recently_active() fired on EVERY startup —
including planned restarts from hermes update or hermes gateway restart.
This caused users to lose their conversation history unexpectedly: the
session would be marked as suspended, and the next message would
trigger an auto-reset with a notification the user never asked for.
The original purpose of suspend_recently_active() is crash recovery —
preventing stuck sessions that were mid-processing when the gateway
died unexpectedly. Graceful shutdowns already drain active agents via
_drain_active_agents(), so there is no stuck-session risk. After a
crash (no marker written), suspension still fires as before.
Fixes the scenario where a user asks the agent to run hermes update,
the gateway restarts, and the user's next message gets an unwanted
'Session automatically reset' notification with their history cleared.
When /update runs via Telegram, hermes update --gateway is spawned inside
the gateway's systemd cgroup. The update process itself calls
systemctl restart hermes-gateway, which tears down the cgroup with
KillMode=mixed — SIGKILL to all remaining processes. The wrapping bash
shell is killed before it can execute the exit-code epilogue, so
.update_exit_code is never created. The new gateway's update watcher
then polls for 30 minutes and sends a spurious timeout message.
Fix: write .update_exit_code from Python inside cmd_update() immediately
after the git pull + pip install succeed ("Update complete!"), before
attempting the gateway restart. The shell epilogue still writes it too
(idempotent overwrite), but now the marker exists even when the process
is killed mid-restart.
When running inside WSL (Windows Subsystem for Linux), inject a hint into
the system prompt explaining that the Windows host filesystem is mounted
at /mnt/c/, /mnt/d/, etc. This lets the agent naturally translate Windows
paths (Desktop, Documents) to their /mnt/ equivalents without the user
needing to configure anything.
Uses the existing is_wsl() detection from hermes_constants (cached,
checks /proc/version for 'microsoft'). Adds build_environment_hints()
in prompt_builder.py — extensible for Termux, Docker, etc. later.
Closes the UX gap where WSL users had to manually explain path
translation to the agent every session.
Follow-up for cherry-picked PR #8272:
- Add MATRIX_RECOVERY_KEY to module docstring header in matrix.py
- Register in OPTIONAL_ENV_VARS (config.py) with password=True, advanced=True
- Add to _NON_SETUP_ENV_VARS set
- Document cross-signing verification in matrix.md E2EE section
- Update migration guide with recovery key step (step 3)
- Add to environment-variables.md reference
After the PgCryptoStore migration in v0.8.0, the verify_with_recovery_key
call that previously ran after share_keys() was dropped. On any rotation
that uploads fresh device keys (fresh crypto.db, server had stale keys
from a prior install, etc.), the new device keys carry no valid self-
signing signature because the bot has no access to the self-signing
private key.
Peers like Element then refuse to share Megolm sessions with the
rotated device, so the bot silently stops decrypting incoming messages.
This restores the recovery-key bootstrap: on startup, if
MATRIX_RECOVERY_KEY is set, import the cross-signing private keys from
SSSS and sign_own_device(), producing a valid signature server-side.
Idempotent and gated on MATRIX_RECOVERY_KEY — no behavior change for
users who don't configure a recovery key.
Verified end-to-end by deleting crypto.db and restarting: the bot
rotates device identity keys, re-uploads, self-signs via recovery key,
and decrypts+replies to fresh messages from a paired Element client.
OpenAI OAuth refresh tokens are single-use and rotate on every refresh.
When Hermes refreshes a Codex token, it consumed the old refresh_token
but never wrote the new pair back to ~/.codex/auth.json. This caused
Codex CLI and VS Code to fail with 'refresh_token_reused' on their
next refresh attempt.
This mirrors the existing Anthropic write-back pattern where refreshed
tokens are written to ~/.claude/.credentials.json via
_write_claude_code_credentials().
Changes:
- Add _write_codex_cli_tokens() in hermes_cli/auth.py (parallel to
_write_claude_code_credentials in anthropic_adapter.py)
- Call it from _refresh_codex_auth_tokens() (non-pool refresh path)
- Call it from credential_pool._refresh_entry() (pool happy path + retry)
- Add tests for the new write-back behavior
- Update existing test docstring to clarify _save_codex_tokens vs
_write_codex_cli_tokens separation
Fixes refresh token conflict reported by @ec12edfae2cb221
After /model switches the model (both picker and text paths), the cached
agent's config signature becomes stale — the agent was updated in-place
via switch_model() but the cache tuple's signature was never refreshed.
The next turn *should* detect the signature mismatch and create a fresh
agent, but this relies on the new model's signature differing from the
old one in _agent_config_signature().
Evicting the cached agent explicitly after storing the session override
is more defensive — the next turn is guaranteed to create a fresh agent
from the override without depending on signature mismatch detection.
Also adds debug logging at three key decision points so we can trace
exactly what happens when /model + /retry interact:
- _resolve_session_agent_runtime: which override path is taken (fast
with api_key vs fallback), or why no override was found
- _run_agent.run_sync: final resolved model/provider before agent
creation
Reported: /model switch to xiaomi/mimo-v2-pro followed by /retry still
used the old model (glm-5.1).
The monitor_for_interrupt() and backup interrupt checks were calling
get_pending_message() which pops the message from the adapter's queue.
This created a race condition: if the agent finished naturally before
checking _interrupt_requested, the pending message was permanently lost.
Timeline of the race:
1. Agent near completion, user sends message
2. Level 1 guard stores message in adapter._pending_messages, sets event
3. monitor_for_interrupt() detects event, POPS message, calls agent.interrupt()
4. Agent's run_conversation() was already returning (interrupted=False)
5. Post-run dequeue finds nothing (monitor already consumed it)
6. result.get('interrupted') is False so interrupt_message fallback doesn't fire
7. User message permanently lost — agent finishes without processing it
Fix: change all three interrupt detection sites (primary monitor + two
backup checks) from get_pending_message() (pop) to
_pending_messages.get() (peek). The message stays in the adapter's queue
until _dequeue_pending_event() consumes it in the post-run handler,
which runs regardless of whether the agent was interrupted or finished
naturally.
Reported by @_SushantSays — intermittent message loss during long
terminal command execution, persisting after the previous fix (73f970fa)
which addressed monitor task death but not this consumption race.
Reject non-URL values (e.g. shell commands typed by mistake) in the
base URL prompt during provider setup. Previously any string was saved
as-is to .env, breaking connectivity when the garbage value was used
as the API endpoint.
Adds http:// / https:// prefix check with a clear error message.
The custom-endpoint flow already had this validation (line 1620);
this brings the generic API-key provider flow to parity.
Triggered by a user support case where 'nano ~/.hermes/.env' was
accidentally entered as GLM_BASE_URL during Z.AI setup.
The previous wording ('If one clearly matches') set too high a threshold,
and 'If none match, proceed normally' was an easy escape hatch for lazy
models. Now:
- Lowered threshold: 'matches or is even partially relevant'
- Added MUST directive and 'err on the side of loading' guidance
- Replaced permissive closer with 'only proceed without if genuinely none
are relevant'
This should reduce cases where the agent skips loading relevant skills
unless explicitly forced.
- Add openai/openai-codex -> openai mapping to PROVIDER_TO_MODELS_DEV
so context-length lookups use models.dev data instead of 128k fallback.
Fixes#8161.
- Set api_mode from custom_providers entry when switching via hermes model,
and clear stale api_mode when the entry has none. Also extract api_mode
in _named_custom_provider_map(). Fixes#8181.
- Convert OpenAI image_url content blocks to Anthropic image blocks when
the endpoint is Anthropic-compatible (MiniMax, MiniMax-CN, or any URL
containing /anthropic). Fixes#8147.
* fix: list all available toolsets in delegate_task schema description
The delegate_task tool's toolsets parameter description only mentioned
'terminal', 'file', and 'web' as examples. Models (especially smaller
ones like Gemma) would substitute 'web' for 'browser' because they
didn't know 'browser' was a valid option.
Now dynamically builds the toolset list from the TOOLSETS dict at import
time, excluding blocked, composite, and platform-specific toolsets.
Auto-updates when new toolsets are added.
Reported by jeffutter on Discord.
* chore: exclude moa and rl from delegate_task toolset list
- Add gosu for runtime privilege dropping from root to hermes user
- Support HERMES_UID/HERMES_GID env vars for host mount permission matching
- Switch to debian:13.4-slim base image
- Use uv venv instead of pip install --break-system-packages
- Pin uv and gosu multi-stage images with SHA256 digests
- Set PLAYWRIGHT_BROWSERS_PATH to /opt/hermes/.playwright so build-time
chromium install survives the /opt/data volume mount
- Keep procps for container debugging
Based on work by m0n5t3r in PR #5811. Stripped to hardening-only
changes (non-root, virtualenv, slim base); matrix deps, fonts, xvfb,
and entrypoint playwright download deferred to follow-up.
Add content-aware splitting to compact mode: short chat-like exchanges
(2-6 short lines without headings/lists/quotes) get separate message
bubbles for a natural chat feel, while structured content (tables,
headings with body, numbered lists) stays in a single message.
Cherry-picked from PR #7587 by bravohenry, adapted to the compact/legacy
split_per_line architecture from #7903.
When the agent calls process(action='wait') or process(action='poll')
and gets the exited status, the completion_queue notification is
redundant — the agent already has the output from the tool return.
Previously, the drain loops in CLI and gateway would still inject
the [SYSTEM: Background process completed] message, causing the
agent to receive the same information twice.
Fix: track session IDs in _completion_consumed set when wait/poll/log
returns an exited process. Drain loops in cli.py and gateway watcher
skip completion events for consumed sessions. Watch pattern events
are never suppressed (they have independent semantics).
Adds 4 tests covering wait/poll/log marking and running-process
negative case.
Add a 'tip of the day' feature that displays a random one-liner about
Hermes Agent features on every new session — CLI startup, /clear, /new,
and gateway /new across all messaging platforms.
- New hermes_cli/tips.py module with 210 curated tips covering slash
commands, keybindings, CLI flags, config options, tools, gateway
platforms, profiles, sessions, memory, skills, cron, voice, security,
and more
- CLI: tips display in skin-aware dim gold color after the welcome line
- Gateway: tips append to the /new and /reset response on all platforms
- Fully wrapped in try/except — tips are non-critical and never break
startup or reset
Display format (CLI):
✦ Tip: /btw <question> asks a quick side question without tools or history.
Display format (gateway):
✨ Session reset! Starting fresh.
✦ Tip: hermes -c resumes your most recent CLI session.
Remove auto-archival from hermes claw migrate — not its
responsibility (hermes claw cleanup is still there for that).
Skip MESSAGING_CWD when it points inside the OpenClaw source
directory, which was the actual root cause of agent confusion
after migration. Use Path.is_relative_to() for robust path
containment check.
Salvaged from PR #8192 by opriz.
Co-authored-by: opriz <opriz@users.noreply.github.com>
- Add rebrand_text() that replaces OpenClaw, Open Claw, Open-Claw,
ClawdBot, and MoltBot with Hermes (case-insensitive, word-boundary)
- Apply rebranding to memory entries (MEMORY.md, USER.md, daily memory)
- Apply rebranding to SOUL.md and workspace instructions via new
transform parameter on copy_file()
- Fix moldbot -> moltbot typo across codebase (claw.py, migration
script, docs, tests)
- Add unit tests for rebrand_text and integration tests for memory
and soul migration rebranding
Users whose credentials exist only in external files — OpenAI Codex
OAuth tokens in ~/.codex/auth.json or Anthropic Claude Code credentials
in ~/.claude/.credentials.json — would not see those providers in the
/model picker, even though hermes auth and hermes model detected them.
Root cause: list_authenticated_providers() only checked the raw Hermes
auth store and env vars. External credential file fallbacks (Codex CLI
import, Claude Code file discovery) were never triggered.
Fix (three parts):
1. _seed_from_singletons() in credential_pool.py: openai-codex now
imports from ~/.codex/auth.json when the Hermes auth store is empty,
mirroring resolve_codex_runtime_credentials().
2. list_authenticated_providers() in model_switch.py: auth store + pool
checks now run for ALL providers (not just OAuth auth_type), catching
providers like anthropic that support both API key and OAuth.
3. list_authenticated_providers(): direct check for anthropic external
credential files (Claude Code, Hermes PKCE). The credential pool
intentionally gates anthropic behind is_provider_explicitly_configured()
to prevent auxiliary tasks from silently consuming tokens. The /model
picker bypasses this gate since it is discovery-oriented.
The interrupt mechanism for regular text messages (non-commands) during
active agent runs relied on a single async polling task
(monitor_for_interrupt) with no error handling. If this task died
silently due to an unhandled exception, stale adapter reference after
reconnect, or any other failure, user messages sent during agent
execution would be queued but never trigger an actual interrupt — the
agent would continue running until it finished naturally, then process
the queued message.
Three improvements:
1. Error handling in monitor_for_interrupt(): wrap the polling body in
try/except so transient errors are logged and retried instead of
silently killing the task.
2. Fresh adapter reference on each poll iteration: re-resolve
self.adapters.get(source.platform) every 200ms instead of capturing
the adapter once at task creation time. This prevents stale
references after adapter reconnects.
3. Backup interrupt check in the inactivity poll loop: both the
unlimited and timeout-enabled paths now check for pending interrupts
every 5 seconds (the existing poll interval). Uses a shared
_interrupt_detected asyncio.Event to avoid double-firing when the
primary monitor already handled the interrupt. Logs at INFO level
with monitor task state for debugging.
The TUI transition (4970705, f83e86d) replaced stacked per-tool history
lines with a single live-updating spinner widget. While the spinner
provides a nice live timer, it removed the scrollback history that
users relied on to see what the agent did during a session.
This restores stacked tool progress lines in 'all' and 'new' modes by
printing persistent scrollback lines via _cprint() when tools complete,
in addition to the existing live spinner display.
Behavior per mode:
- off: no scrollback lines, no spinner (unchanged)
- new: scrollback line on completion, skipping consecutive same-tool repeats
- all: scrollback line on every tool completion
- verbose: no scrollback (run_agent.py handles verbose output directly)
Implementation:
- Store function_args from tool.started events in _pending_tool_info
- On tool.completed, pop stored args and format via get_cute_tool_message()
- FIFO queue per function_name handles concurrent tool execution
- 'new' mode tracks _last_scrollback_tool for dedup
- State cleared at end of agent run
Reported by community user Mr.D — the stacked history provides
transparency into what the agent is doing, which builds trust.
Addresses user report from Discord about lost tool call visibility.
Rewrite the cronjob tool's 'deliver' parameter description to strongly
guide models toward omitting the parameter (which auto-detects origin
including thread/topic). The previous description listed all platform
names equally, inviting models to construct explicit targets like
'telegram:<chat_id>' which silently drops the thread_id.
New description:
- Leads with 'Omit this parameter' as the recommended path
- Explicitly warns that platform:chat_id without :thread_id loses topics
- Removes the long flat list of platform names that invited construction
Also adds diagnostic logging at two key points:
- _origin_from_env(): logs when thread_id is captured during job creation
- _deliver_result(): warns when origin has thread_id but delivery target
lost it; logs at debug when delivering to a specific thread
Helps diagnose user-reported issue where cron responses from Telegram
topics are delivered to the main chat instead of the originating topic.
On servers with broken or unreachable IPv6, Python's socket.getaddrinfo
returns AAAA records first. urllib/httpx/requests all try IPv6 connections
first and hang for the full TCP timeout before falling back to IPv4. This
affects web_extract, web_search, the OpenAI SDK, and all HTTP tools.
Adds network.force_ipv4 config option (default: false) that monkey-patches
socket.getaddrinfo to resolve as AF_INET when the caller didn't specify a
family. Falls back to full resolution if no A record exists, so pure-IPv6
hosts still work.
Applied early at all three entry points (CLI, gateway, cron scheduler)
before any HTTP clients are created.
Reported by user @29n — Chinese Ubuntu server with unreachable IPv6 causing
timeouts on lobste.rs and other IPv6-enabled sites while Google/GitHub
worked fine (IPv4-only resolution).
After compression, models (especially Kimi 2.5) would sometimes respond
to questions from the summary instead of the latest user message. This
happened ~30% of the time on Telegram.
Root cause: the summary's 'Next Steps' section read as active instructions,
and the SUMMARY_PREFIX didn't explicitly tell the model to ignore questions
in the summary. When the summary merged into the first tail message, there
was no clear separator between historical context and the actual user message.
Changes inspired by competitor analysis (Claude Code, OpenCode, Codex):
1. SUMMARY_PREFIX rewritten with explicit 'Do NOT answer questions from
this summary — respond ONLY to the latest user message AFTER it'
2. Summarizer preamble (shared by both prompts) adds:
- 'Do NOT respond to any questions' (from OpenCode's approach)
- 'Different assistant' framing (from Codex) to create psychological
distance between summary content and active conversation
3. New summary sections:
- '## Resolved Questions' — tracks already-answered questions with
their answers, preventing re-answering (from Claude Code's
'Pending user asks' pattern)
- '## Pending User Asks' — explicitly marks unanswered questions
- '## Remaining Work' replaces '## Next Steps' — passive framing
avoids reading as active instructions
4. merge-summary-into-tail path now inserts a clear separator:
'--- END OF CONTEXT SUMMARY — respond to the message below ---'
5. Iterative update prompt now instructs: 'Move answered questions to
Resolved Questions' to maintain the resolved/pending distinction
across multiple compactions.
The gateway startup path references RedactingFormatter without
importing it, causing a NameError crash when launched with a
verbosity flag (e.g. via launchd --replace).
Fixes#8044
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds an optional focus topic to /compress: `/compress database schema`
guides the summariser to preserve information related to the focus topic
(60-70% of summary budget) while compressing everything else more aggressively.
Inspired by Claude Code's /compact <focus>.
Changes:
- context_compressor.py: focus_topic parameter on _generate_summary() and
compress(); appends FOCUS TOPIC guidance block to the LLM prompt
- run_agent.py: focus_topic parameter on _compress_context(), passed through
to the compressor
- cli.py: _manual_compress() extracts focus topic from command string,
preserves existing manual_compression_feedback integration (no regression)
- gateway/run.py: _handle_compress_command() extracts focus from event args
and passes through — full gateway parity
- commands.py: args_hint="[focus topic]" on /compress CommandDef
Salvaged from PR #7459 (CLI /compress focus only — /context command deferred).
15 new tests across CLI, compressor, and gateway.
* feat: add `hermes backup` and `hermes import` commands
hermes backup — creates a zip of ~/.hermes/ (config, skills, sessions,
profiles, memories, skins, cron jobs, etc.) excluding the hermes-agent
codebase, __pycache__, and runtime PID files. Defaults to
~/hermes-backup-<timestamp>.zip, customizable with -o.
hermes import <zipfile> — restores from a backup zip, validating it
looks like a hermes backup before extracting. Handles .hermes/ prefix
stripping, path traversal protection, and confirmation prompts (skip
with --force).
29 tests covering exclusion rules, backup creation, import validation,
prefix detection, path traversal blocking, confirmation flow, and a
full round-trip test.
* test: improve backup/import coverage to 97%
Add 17 additional tests covering:
- _format_size helper (bytes through terabytes)
- Nonexistent hermes home error exit
- Output path is a directory (auto-names inside it)
- Output without .zip suffix (auto-appends)
- Empty hermes home (all files excluded)
- Permission errors during backup and import
- Output zip inside hermes root (skips itself)
- Not-a-zip file rejection
- EOFError and KeyboardInterrupt during confirmation
- 500+ file progress display
- Directory-only zip prefix detection
Remove dead code branch in _detect_prefix (unreachable guard).
* feat: auto-restore profile wrapper scripts on import
After extracting backup files, hermes import now scans profiles/ for
subdirectories with config.yaml or .env and recreates the ~/.local/bin
wrapper scripts so profile aliases (e.g. 'coder chat') work immediately.
Also prints guidance for re-installing gateway services per profile.
Handles edge cases:
- Skips profile dirs without config (not real profiles)
- Skips aliases that collide with existing commands
- Gracefully degrades if hermes_cli.profiles isn't available (fresh install)
- Shows PATH hint if ~/.local/bin isn't in PATH
3 new profile restoration tests (49 total).
Fixes#7952 — Matrix E2EE completely broken after mautrix migration.
- Replace MemoryCryptoStore + pickle/HMAC persistence with mautrix's
PgCryptoStore backed by SQLite via aiosqlite. Crypto state now
persists reliably across restarts without fragile serialization.
- Add handle_sync() call on initial sync response so to-device events
(queued Megolm key shares) are dispatched to OlmMachine instead of
being silently dropped.
- Add _verify_device_keys_on_server() after loading crypto state.
Detects missing keys (re-uploads), stale keys from migration
(attempts re-upload), and corrupted state (refuses E2EE).
- Add _CryptoStateStore adapter wrapping MemoryStateStore to satisfy
mautrix crypto's StateStore interface (is_encrypted,
get_encryption_info, find_shared_rooms).
- Remove redundant share_keys() call from sync loop — OlmMachine
already handles this via DEVICE_OTK_COUNT event handler.
- Fix datetime vs float TypeError in session.py suspend_recently_active()
that crashed gateway startup.
- Add aiosqlite and asyncpg to [matrix] extra in pyproject.toml.
- Update test mocks for PgCryptoStore/Database and add query_keys mock
for key verification. 174 tests pass.
- Add E2EE upgrade/migration docs to Matrix user guide.
* perf(ssh,modal): bulk file sync via tar pipe and tar/base64 archive
SSH: symlink-staging + tar -ch piped over SSH in a single TCP stream.
Eliminates per-file scp round-trips. Handles timeout (kills both
processes), SSH Popen failure (kills tar), and tar create failure.
Modal: in-memory gzipped tar archive, base64-encoded, decoded+extracted
in one exec call. Checks exit code and raises on failure.
Both backends use shared helpers extracted into file_sync.py:
- quoted_mkdir_command() — mirrors existing quoted_rm_command()
- unique_parent_dirs() — deduplicates parent dirs from file pairs
Migrates _ensure_remote_dirs to use the new helpers.
28 new tests (21 SSH + 7 Modal), all passing.
Closes#7465Closes#7467
* fix(modal): pipe stdin to avoid ARG_MAX, clean up review findings
- Modal bulk upload: stream base64 payload through proc.stdin in 1MB
chunks instead of embedding in command string (Modal SDK enforces
64KB ARG_MAX_BYTES — typical payloads are ~4.3MB)
- Modal single-file upload: same stdin fix, add exit code checking
- Remove what-narrating comments in ssh.py and modal.py (keep WHY
comments: symlink staging rationale, SIGPIPE, deadlock avoidance)
- Remove unnecessary `sandbox = self._sandbox` alias in modal bulk
- Daytona: use shared helpers (unique_parent_dirs, quoted_mkdir_command)
instead of inlined duplicates
---------
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
* feat: component-separated logging with session context and filtering
Phase 1 — Gateway log isolation:
- gateway.log now only receives records from gateway.* loggers
(platform adapters, session management, slash commands, delivery)
- agent.log remains the catch-all (all components)
- errors.log remains WARNING+ catch-all
- Moved gateway.log handler creation from gateway/run.py into
hermes_logging.setup_logging(mode='gateway') with _ComponentFilter
Phase 2 — Session ID injection:
- Added set_session_context(session_id) / clear_session_context() API
using threading.local() for per-thread session tracking
- _SessionFilter enriches every log record with session_tag attribute
- Log format: '2026-04-11 10:23:45 INFO [session_id] logger.name: msg'
- Session context set at start of run_conversation() in run_agent.py
- Thread-isolated: gateway conversations on different threads don't leak
Phase 3 — Component filtering in hermes logs:
- Added --component flag: hermes logs --component gateway|agent|tools|cli|cron
- COMPONENT_PREFIXES maps component names to logger name prefixes
- Works with all existing filters (--level, --session, --since, -f)
- Logger name extraction handles both old and new log formats
Files changed:
- hermes_logging.py: _SessionFilter, _ComponentFilter, COMPONENT_PREFIXES,
set/clear_session_context(), gateway.log creation in setup_logging()
- gateway/run.py: removed redundant gateway.log handler (now in hermes_logging)
- run_agent.py: set_session_context() at start of run_conversation()
- hermes_cli/logs.py: --component filter, logger name extraction
- hermes_cli/main.py: --component argument on logs subparser
Addresses community request for component-separated, filterable logging.
Zero changes to existing logger names — __name__ already provides hierarchy.
* fix: use LogRecord factory instead of per-handler _SessionFilter
The _SessionFilter approach required attaching a filter to every handler
we create. Any handler created outside our _add_rotating_handler (like
the gateway stderr handler, or third-party handlers) would crash with
KeyError: 'session_tag' if it used our format string.
Replace with logging.setLogRecordFactory() which injects session_tag
into every LogRecord at creation time — process-global, zero per-handler
wiring needed. The factory is installed at import time (before
setup_logging) so session_tag is available from the moment hermes_logging
is imported.
- Idempotent: marker attribute prevents double-wrapping on module reload
- Chains with existing factory: won't break third-party record factories
- Removes _SessionFilter from _add_rotating_handler and setup_verbose_logging
- Adds tests: record factory injection, idempotency, arbitrary handler compat
Add display.platforms section to config.yaml for per-platform overrides of
display settings (tool_progress, show_reasoning, streaming, tool_preview_length).
Each platform gets sensible built-in defaults based on capability tier:
- High (telegram, discord): tool_progress=all, streaming follows global
- Medium (slack, mattermost, matrix, feishu): tool_progress=new
- Low (signal, whatsapp, bluebubbles, wecom, etc.): tool_progress=off, streaming=false
- Minimal (email, sms, webhook, homeassistant): tool_progress=off, streaming=false
Example config:
display:
platforms:
telegram:
tool_progress: all
show_reasoning: true
slack:
tool_progress: off
Resolution order: platform override > global setting > built-in platform default.
Changes:
- New gateway/display_config.py: resolver module with tier-based platform defaults
- gateway/run.py: tool_progress, tool_preview_length, streaming, show_reasoning
all resolve per-platform via the new resolver
- /verbose command: now cycles tool_progress per-platform (saves to
display.platforms.<platform>.tool_progress instead of global)
- /reasoning show|hide: now saves show_reasoning per-platform
- Config version 15 -> 16: migrates tool_progress_overrides into display.platforms
- Backward compat: legacy tool_progress_overrides still read as fallback
- 27 new tests for resolver, normalization, migration, backward compat
- Updated verbose command tests for per-platform behavior
Addresses community request for per-channel verbosity control (Guillaume Meyer,
Nathan Danielsen) — high verbosity on backchannel Telegram, low on customer-facing
Slack, none on email.
The check_interval parameter on terminal_tool sent periodic output
updates to the gateway chat, but these were display-only — the agent
couldn't see or act on them. This added schema bloat and introduced
a bug where notify_on_complete=True was silently dropped when
check_interval was also set (the not-check_interval guard skipped
fast-watcher registration, and the check_interval watcher dict
was missing the notify_on_complete key).
Removing check_interval entirely:
- Eliminates the notify_on_complete interaction bug
- Reduces tool schema size (one fewer parameter for the model)
- Simplifies the watcher registration path
- notify_on_complete (agent wake-on-completion) still works
- watch_patterns (output alerting) still works
- process(action='poll') covers manual status checking
Closes#7947 (root cause eliminated rather than patched).
When /model is called with no arguments in the interactive CLI, open a
two-step prompt_toolkit modal instead of the previous text-only listing:
1. Provider selection — curses_single_select with all authenticated providers
2. Model selection — live API fetch with curated fallback
Also fixes:
- OpenAI Codex model normalization (openai/gpt-5.4 → gpt-5.4)
- Dedicated Codex validation path using provider_model_ids()
Preserves curses_radiolist (used by setup, tools, plugins) alongside the
new curses_single_select. Retains tool elapsed timer in spinner.
Cherry-picked from PR #7438 by MestreY0d4-Uninter.
The _get_budget_warning() method already returned None unconditionally —
the entire budget warning system was disabled. Remove all dead code:
- _BUDGET_WARNING_RE regex
- _strip_budget_warnings_from_history() function and its call site
- Both injection blocks (concurrent + sequential tool execution)
- _get_budget_warning() method
- 7 tests for the removed functions
The budget exhaustion grace call system (_budget_exhausted_injected,
_budget_grace_call) is a separate recovery mechanism and is preserved.
Normalize api_messages before each API call for consistent prefix
matching across turns:
1. Strip leading/trailing whitespace from system prompt parts
2. Strip leading/trailing whitespace from message content strings
3. Normalize tool-call arguments to compact sorted JSON
This enables KV cache reuse on local inference servers (llama.cpp,
vLLM, Ollama) and improves cache hit rates for cloud providers.
All normalization operates on the api_messages copy — the original
conversation history in messages is never mutated. Tool-call JSON
normalization creates new dicts via spread to avoid the shallow-copy
mutation bug in the original PR.
Salvaged from PR #7875 by @waxinz with mutation fix.
* feat(nix): container-aware CLI — auto-route all subcommands into managed container
When container.enable = true, the host `hermes` CLI transparently execs
every subcommand into the managed Docker/Podman container. A symlink
bridge (~/.hermes -> /var/lib/hermes/.hermes) unifies state between host
and container so sessions, config, and memories are shared.
CLI changes:
- Global routing before subcommand dispatch (all commands forwarded)
- docker exec with -u exec_user, env passthrough (TERM, COLORTERM,
LANG, LC_ALL), TTY-aware flags
- Retry with spinner on failure (TTY: 5s, non-TTY: 10s silent)
- Hard fail instead of silent fallback
- HERMES_DEV=1 env var bypasses routing for development
- No routing messages (invisible to user)
NixOS module changes:
- container.hostUsers option: lists users who get ~/.hermes symlink
and automatic hermes group membership
- Activation script creates symlink bridge (with backup of existing
~/.hermes dirs), writes exec_user to .container-mode
- Cleanup on disable: removes symlinks + .container-mode + stops service
- Warning when hostUsers set without addToSystemPackages
* fix: address review — reuse sudo var, add chown -h on symlink update
- hermes_cli/main.py: reuse the existing `sudo` variable instead of
redundant `shutil.which("sudo")` call that could return None
- nix/nixosModules.nix: add missing `chown -h` when updating an
existing symlink target so ownership stays consistent with the
fresh-create and backup-replace branches
* fix: address remaining review items from cursor bugbot
- hermes_cli/main.py: move container routing BEFORE parse_args() so
--help, unrecognised flags, and all subcommands are forwarded
transparently into the container instead of being intercepted by
argparse on the host (high severity)
- nix/nixosModules.nix: resolve home dirs via
config.users.users.${user}.home instead of hardcoding /home/${user},
supporting users with custom home directories (medium severity)
- nix/nixosModules.nix: gate hostUsers group membership on
container.enable so setting hostUsers without container mode doesn't
silently add users to the hermes group (low severity)
* fix: simplify container routing — execvp, no retries, let it crash
- Replace subprocess.run retry loop with os.execvp (no idle parent process)
- Extract _probe_container helper for sudo detection with 15s timeout
- Narrow exception handling: FileNotFoundError only in get_container_exec_info,
catch TimeoutExpired specifically, remove silent except Exception: pass
- Collapse needs_sudo + sudo into single sudo_path variable
- Simplify NixOS symlink creation from 4 branches to 2
- Gate NixOS sudoers hint with "On NixOS:" prefix
- Full test rewrite: 18 tests covering execvp, sudo probe, timeout, permissions
---------
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
Switch estimate_tokens_rough(), estimate_messages_tokens_rough(), and
estimate_request_tokens_rough() from floor division (len // 4) to
ceiling division ((len + 3) // 4). Short texts (1-3 chars) previously
estimated as 0 tokens, causing the compressor and pre-flight checks to
systematically undercount when many short tool results are present.
Also replaced the inline duplicate formula in run_conversation()
(total_chars // 4) with a call to the shared
estimate_messages_tokens_rough() function.
Updated 4 tests that hardcoded floor-division expected values.
Related: issue #6217, PR #6629
Deduplicate todo items by ID before writing to the store, keeping the
last occurrence. Prevents ghost entries when the model sends duplicate
IDs in a single write() call, which corrupts subsequent merge operations.
Co-authored-by: WAXLYY <WAXLYY@users.noreply.github.com>
Add display.interim_assistant_messages config (enabled by default) that
forwards completed assistant commentary between tool calls to the user
as separate chat messages. Models already emit useful status text like
'I'll inspect the repo first.' — this surfaces it on Telegram, Discord,
and other messaging platforms instead of swallowing it.
Independent from tool_progress and gateway streaming. Disabled for
webhooks. Uses GatewayStreamConsumer when available, falls back to
direct adapter send. Tracks response_previewed to prevent double-delivery
when interim message matches the final response.
Also fixes: cursor not stripped from fallback prefix in stream consumer
(affected continuation calculation on no-edit platforms like Signal).
Cherry-picked from PR #7885 by asheriif, default changed to enabled.
Fixes#5016
- Fix auto list (was only gpt, actually includes codex/gemini/gemma/grok)
- Document the three guidance layers (general, OpenAI-specific, Google-specific)
- Add 'When to turn it on' section for users on non-default models
- Clarify that substring matching is case-insensitive
Three root causes of the 'agent stops mid-task' gateway bug:
1. Compression threshold floor (64K tokens minimum)
- The 50% threshold on a 100K-context model fired at 50K tokens,
causing premature compression that made models lose track of
multi-step plans. Now threshold_tokens = max(50% * context, 64K).
- Models with <64K context are rejected at startup with a clear error.
2. Budget warning removal — grace call instead
- Removed the 70%/90% iteration budget warnings entirely. These
injected '[BUDGET WARNING: Provide your final response NOW]' into
tool results, causing models to abandon complex tasks prematurely.
- Now: no warnings during normal execution. When the budget is
actually exhausted (90/90), inject a user message asking the model
to summarise, allow one grace API call, and only then fall back
to _handle_max_iterations.
3. Activity touches during long terminal execution
- _wait_for_process polls every 0.2s but never reported activity.
The gateway's inactivity timeout (default 1800s) would fire during
long-running commands that appeared 'idle.'
- Now: thread-local activity callback fires every 10s during the
poll loop, keeping the gateway's activity tracker alive.
- Agent wires _touch_activity into the callback before each tool call.
Also: docs update noting 64K minimum context requirement.
Closes#7915 (root cause was agent-loop termination, not Weixin delivery limits).
Replace the verbose_logging-gated logging.exception() with an
unconditional logger.debug(exc_info=True). The full traceback now
always lands in agent.log when debug logging is enabled, without
requiring the verbose_logging flag or spamming the console.
Previously, production errors in the 700-line response processing
block (normalization, tool dispatch, final response handling) were
logged as one-line messages with the traceback hidden behind
verbose_logging — making post-mortem debugging difficult.
Add the missing 'Adding a Platform Adapter' developer guide — a
comprehensive step-by-step checklist covering all 20+ integration
points (enum, adapter, config, runner, CLI, tools, toolsets, cron,
webhooks, tests, and docs). Includes common patterns for long-poll,
callback/webhook, and token-lock adapters with reference implementations.
Also adds full docs coverage for the WeCom Callback platform:
- New docs page: user-guide/messaging/wecom-callback.md
- Environment variables reference (9 WECOM_CALLBACK_* vars)
- Toolsets reference (hermes-wecom-callback)
- Messaging index (comparison table, architecture diagram, toolsets,
security, next-steps links)
- Integrations index listing
- Sidebar entries for both new pages
Complete the contextvars migration by adding HERMES_SESSION_KEY to the
unified _VAR_MAP in session_context.py. Without this, concurrent gateway
handlers race on os.environ["HERMES_SESSION_KEY"].
- Add _SESSION_KEY ContextVar to _VAR_MAP, set_session_vars(), clear_session_vars()
- Wire session_key through _set_session_env() from SessionContext
- Replace os.getenv fallback in tools/approval.py with get_session_env()
(function-level import to avoid cross-layer coupling)
- Keep os.environ set as CLI/cron fallback
Cherry-picked from PR #7878 by 0xbyt4.
- Add --env KEY=VALUE for passing environment variables to stdio MCP servers
- Add --preset for known MCP server templates (empty for now, extensible)
- Validate env var names, reject --env for HTTP servers
- Explicit --command/--url overrides preset defaults
- Remove unused getpass import
Based on PR #7936 by @syaor4n (stitch preset removed, generic infra kept).
All retry counters (_invalid_tool_retries, _invalid_json_retries,
_empty_content_retries, _incomplete_scratchpad_retries,
_codex_incomplete_retries) are initialized to 0 at the top of
run_conversation() (lines 7566-7570). The hasattr guards added before
the reset block existed are now dead code — the attributes always exist.
Removed 7 redundant hasattr checks (5 original targets + 2 bonus for
_codex_incomplete_retries found during cleanup).
When _try_activate_fallback() switches to a new provider, retry_count was
reset to 0 but compression_attempts and primary_recovery_attempted were
not. This meant a fallback provider that hit context overflow would only
get the leftover compression budget from the failed primary provider,
and transport recovery was blocked because the flag was still True from
the old provider's attempt.
Reset both counters at all 5 fallback activation sites inside the retry
loop so each fallback provider gets a fresh compression budget (3 attempts)
and its own transport recovery opportunity.
Add a second WeCom integration mode for regular enterprise self-built
applications. Unlike the existing bot/websocket adapter (wecom.py),
this handles WeCom's standard callback flow: WeCom POSTs encrypted XML
to an HTTP endpoint, the adapter decrypts, queues for the agent, and
immediately acknowledges. The agent's reply is delivered proactively
via the message/send API.
Key design choice: always acknowledge immediately and use proactive
send — agent sessions take 3-30 minutes, so the 5-second inline reply
window is never useful. The original PR's Future/pending-reply
machinery was removed in favour of this simpler architecture.
Features:
- AES-CBC encrypt/decrypt (BizMsgCrypt-compatible)
- Multi-app routing scoped by corp_id:user_id
- Legacy bare user_id fallback for backward compat
- Access-token management with auto-refresh
- WECOM_CALLBACK_* env var overrides
- Port-in-use pre-check before binding
- Health endpoint at /health
Salvaged from PR #7774 by @chqchshj. Simplified by removing the
inline reply Future system and fixing: secrets.choice for nonce
generation, immediate plain-text acknowledgment (not encrypted XML
containing 'success'), and initial token refresh error handling.
Adds _normalize_path() helper that calls expanduser().resolve() to
properly handle tilde paths (e.g. ~/.hermes, ~/.config). Previously
Path.resolve() alone treated ~ as a literal directory name, producing
invalid paths like /root/~/.hermes.
Also improves _run_git() error handling to distinguish missing working
directories from missing git executable, and adds pre-flight directory
validation.
Cherry-picked from PR #7898 by faishal882.
Fixes#7807
When 'hermes claw migrate' copies Telegram/Discord/Slack bot tokens from
OpenClaw while the Hermes gateway is already polling with those same tokens,
the platforms conflict (e.g. Telegram 409). Add a pre-flight check that reads
gateway_state.json via get_running_pid() + read_runtime_status(), warns the
user, and lets them cancel or continue.
Also improve the Telegram polling conflict error message to mention OpenClaw
as a common cause and give the 'hermes start' restart command.
Refs #7907
Cron jobs run from whatever directory the scheduler process lives in
(typically the hermes-agent install dir), so without this flag the agent
picks up AGENTS.md, SOUL.md, or .cursorrules from that cwd — injecting
irrelevant project context into the cron job's system prompt.
batch_runner.py and gateway boot_md already pass skip_context_files=True
for the same reason. This aligns cron with the established pattern for
autonomous/headless agent runs.
* fix(tools): neutralize shell injection in _write_to_sandbox via path quoting
_write_to_sandbox interpolated storage_dir and remote_path directly into
a shell command passed to env.execute(). Paths containing shell
metacharacters (spaces, semicolons, $(), backticks) could trigger
arbitrary command execution inside the sandbox.
Fix: wrap both paths with shlex.quote(). Clean paths (alphanumeric +
slashes/hyphens/dots) are left unmodified by shlex.quote, so existing
behavior is unchanged. Paths with unsafe characters get single-quoted.
Tests added for spaces, $(command) substitution, and semicolon injection.
* fix: is_local_endpoint misses Docker/Podman DNS names
host.docker.internal, host.containers.internal, gateway.docker.internal,
and host.lima.internal are well-known DNS names that container runtimes
use to resolve the host machine. Users running Ollama on the host with
the agent in Docker/Podman hit the default 120s stream timeout instead
of the bumped 1800s because these hostnames weren't recognized as local.
Add _CONTAINER_LOCAL_SUFFIXES tuple and suffix check in
is_local_endpoint(). Tests cover all three runtime families plus a
negative case for domains that merely contain the suffix as a substring.
Wire Signal, Email, SMS (Twilio), DingTalk, Feishu/Lark, and WeCom into
the hermes setup gateway interactive wizard. These platforms all had
working adapters and _PLATFORMS entries in gateway.py but were invisible
in the setup checklist — users had to manually edit .env to configure them.
Changes:
- gateway.py: Add _setup_email/sms/dingtalk/feishu/wecom functions
delegating to _setup_standard_platform (Signal already had a custom one)
- setup.py: Add wrapper functions for all 6 new platforms
- setup.py: Add all 6 to _GATEWAY_PLATFORMS checklist registry
- setup.py: Add missing env vars to any_messaging check
- setup.py: Add all missing platforms to _get_section_config_summary
(was also missing Matrix, Mattermost, Weixin, Webhooks)
- docs: Add FEISHU_ALLOWED_USERS and WECOM_ALLOWED_USERS examples
Incorporates and extends the work from PR #7918 by bugmaker2.
- add all_profiles=False to find_gateway_pids() and
kill_gateway_processes() so hermes update and gateway stop --all
can still discover processes across all profiles
- narrow bare 'except Exception' to (OSError, subprocess.TimeoutExpired)
- update test mocks to match new signatures
Adds two tests verifying that duplicate reasoning item IDs across
multi-turn Codex Responses conversations are correctly deduplicated
in both _chat_messages_to_responses_input() and
_preflight_codex_input_items().
When replaying codex_reasoning_items from previous turns,
duplicate item IDs (rs_*) could appear in the input array,
causing HTTP 400 "Duplicate item found" errors from the
OpenAI Responses API.
Add seen_item_ids tracking in both _chat_messages_to_responses_input()
and _preflight_codex_input_items() to skip already-added reasoning
items by their ID.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
In _run_agent(), the pending message handler references 'event' which
is not defined in that scope — it only exists in the caller. This
causes a NameError when sending the first response before processing a
queued follow-up message.
Replace getattr(event, 'metadata', None) with the established pattern
using source.thread_id, consistent with lines 2625, 2810, 3678, 4410, 4566
in the same file.
_write_to_sandbox interpolated storage_dir and remote_path directly into
a shell command passed to env.execute(). Paths containing shell
metacharacters (spaces, semicolons, $(), backticks) could trigger
arbitrary command execution inside the sandbox.
Fix: wrap both paths with shlex.quote(). Clean paths (alphanumeric +
slashes/hyphens/dots) are left unmodified by shlex.quote, so existing
behavior is unchanged. Paths with unsafe characters get single-quoted.
Tests added for spaces, $(command) substitution, and semicolon injection.
This commit addresses a security vulnerability where unsanitized user inputs for commit_hash and file_path were passed directly to git commands in CheckpointManager.restore() and diff(). It validates commit hashes to be strictly hexadecimal characters without leading dashes (preventing flag injection like '--patch') and enforces file paths to stay within the working directory via root resolution. Regression tests test_restore_rejects_argument_injection, test_restore_rejects_invalid_hex_chars, and test_restore_rejects_path_traversal were added.
The cherry-picked fix from PR #7916 placed model propagation after
the credential pool early-return in _resolve_named_custom_runtime(),
making it dead code when a pool is active (which happens whenever
custom_providers has an api_key that auto-seeds the pool).
- Inject model into pool_result before returning
- Add 5 regression tests covering direct path, pool path, empty
model, and absent model scenarios
- Add 'model' to _VALID_CUSTOM_PROVIDER_FIELDS for config validation
Fixes#7828
When a custom_providers entry carries a `model` field, that value was
silently dropped by `_get_named_custom_provider` and
`_resolve_named_custom_runtime`. Callers received a runtime dict with
`base_url`, `api_key`, and `api_mode` — but no `model`.
As a result, `hermes chat --model <provider-name>` sent the *provider
name* (e.g. "my-dashscope-provider") as the model string to the API
instead of the configured model (e.g. "qwen3.6-plus"), producing:
Error code: 400 - {'error': {'message': 'Model Not Exist'}}
Setting the provider as the *default* model in config.yaml worked
because that path writes `model.default` and the agent reads it back
directly, bypassing the broken runtime resolution path.
Changes:
1. hermes_cli/runtime_provider.py — _get_named_custom_provider()
Reads `entry.get("model")` and includes it in the result dict so
the value is available to callers.
2. hermes_cli/runtime_provider.py — _resolve_named_custom_runtime()
Propagates `custom_provider["model"]` into the returned runtime dict.
3. cli.py — _ensure_runtime_credentials()
After resolving runtime, if `runtime["model"]` is set, assign it to
`self.model` so the AIAgent is initialised with the correct model
name rather than the provider name the user typed on the CLI.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The startup guard tests called connect() which bound a real aiohttp
server on port 8080 — flaky in any environment where the port is
in use. Mock AppRunner, TCPSite, and ClientSession instead.
WhatsApp changed their server protocol for property queries, causing
400 bad-request errors in fetchProps/executeInitQueries on every
reconnect (Baileys issue #2477). The fix in PR #2473 changes the IQ
namespace from 'w' to 'abt' and protocol from '2' to '1'.
Pin to the fix branch until the next Baileys release includes it.
The interrupt mechanism in tools/interrupt.py used a process-global
threading.Event. In the gateway, multiple agents run concurrently in
the same process via run_in_executor. When any agent was interrupted
(user sends a follow-up message), the global flag killed ALL agents'
running tools — terminal commands, browser ops, web requests — across
all sessions.
Changes:
- tools/interrupt.py: Replace single threading.Event with a set of
interrupted thread IDs. set_interrupt() targets a specific thread;
is_interrupted() checks the current thread. Includes a backward-
compatible _ThreadAwareEventProxy for legacy _interrupt_event usage.
- run_agent.py: Store execution thread ID at start of run_conversation().
interrupt() and clear_interrupt() pass it to set_interrupt() so only
this agent's thread is affected.
- tools/code_execution_tool.py: Use is_interrupted() instead of
directly checking _interrupt_event.is_set().
- tools/process_registry.py: Same — use is_interrupted().
- tests: Update interrupt tests for per-thread semantics. Add new
TestPerThreadInterruptIsolation with two tests verifying cross-thread
isolation.
When a Python process exits uncleanly (SIGKILL, crash, gateway restart
via hermes update), in-memory _active_sessions tracking is lost but the
agent-browser node daemons and their Chromium child processes keep
running indefinitely. On a long-running system this causes unbounded
memory growth — 24 orphaned sessions consumed 7.6 GB on a production
machine over 9 days.
Add _reap_orphaned_browser_sessions() which scans the tmp directory for
agent-browser-{h_*,cdp_*} socket dirs on cleanup thread startup. For
each dir not tracked by the current process, reads the daemon PID file
and sends SIGTERM if the daemon is still alive. Handles edge cases:
dead PIDs, corrupt PID files, permission errors, foreign processes.
The reaper runs once on thread startup (not every 30s) to avoid races
with sessions being actively created by concurrent agents.
When sending multi-chunk responses, individual chunks can fail due to
transient iLink API errors. Previously a single failure would abort the
entire message. Now each chunk is retried with linear backoff before
giving up, and the same client_id is reused across retries for
server-side deduplication.
Configurable via config.yaml (platforms.weixin.extra) or env vars:
- send_chunk_delay_seconds (default 0.35s) — pacing between chunks
- send_chunk_retries (default 2) — max retry attempts per chunk
- send_chunk_retry_delay_seconds (default 1.0s) — base retry delay
Replaces the hardcoded 0.3s inter-chunk delay from #7903.
Salvaged from PR #7899 by @corazzione. Fixes#7836.
WeCom AI Bot sends file attachments with msgtype="appmsg", not
msgtype="file". Previously only file content was discarded while
the text title reached the agent.
Changes:
- _extract_text(): Extract appmsg title (filename) for display
- _extract_media(): Handle appmsg type with file/image content
Fixes#7750
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test expected content=None to immediately trigger thinking-exhaustion,
but PR #7738 correctly gates that check on _has_think_tags. Without think
tags, the agent falls through to normal continuation retry (3 attempts).
Cherry-picked from PR #7747 with follow-up fixes:
- Narrowed suspend_all_active() to suspend_recently_active() — only
suspends sessions updated within the last 2 minutes (likely in-flight),
not all sessions which would unnecessarily reset idle users
- /stop with no running agent no longer suspends the session; only
actual force-stops mark the session for reset
Models that do not use <think> tags (e.g. GLM-4.7 on NVIDIA Build,
minimax) may return content=None or empty string when truncated. The
previous _thinking_exhausted check treated any None/empty content as
thinking-budget exhaustion, causing these models to always show the
'Thinking Budget Exhausted' error instead of attempting continuation.
Fix: gate the exhaustion check on _has_think_tags — only trigger the
exhaustion path when the model actually produced reasoning blocks
(<think>, <thinking>, <reasoning>, <REASONING_SCRATCHPAD>). Models
without think tags now fall through to the normal continuation retry
logic (up to 3 attempts).
Fixes#7729
When API routers rewrite finish_reason from "length" to "tool_calls",
truncated JSON arguments bypassed the length handler and wasted 3
retry attempts in the generic JSON validation loop. Now detects
truncation patterns in tool call arguments regardless of finish_reason.
Fixes#7680
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Background process watchers (notify_on_complete, check_interval) created
synthetic SessionSource objects without user_id/user_name. While the
internal=True bypass (1d8d4f28) prevented false pairing for agent-
generated notifications, the missing identity caused:
- Garbage entries in pairing rate limiters (discord:None, telegram:None)
- 'User None' in approval messages and logs
- No user identity available for future code paths that need it
Additionally, platform messages arriving without from_user (Telegram
service messages, channel forwards, anonymous admin actions) could still
trigger false pairing because they are not internal events.
Fix:
1. Propagate user_id/user_name through the full watcher chain:
session_context.py → gateway/run.py → terminal_tool.py →
process_registry.py (including checkpoint persistence/recovery)
2. Add None user_id guard in _handle_message() — silently drop
non-internal messages with no user identity instead of triggering
the pairing flow.
Salvaged from PRs #7664 (kagura-agent, ContextVar approach),
#6540 (MestreY0d4-Uninter, tests), and #7709 (guang384, None guard).
Closes#6341, #6485, #7643
Relates to #6516, #7392
Two-phase design so the warning fires before the user's first message
on every platform:
Phase 1 (__init__):
_check_compression_model_feasibility() runs during agent construction.
Resolves the auxiliary compression model (same chain as call_llm with
task='compression'), compares its context length to the main model's
compression threshold. If too small, emits via _emit_status() (prints
for CLI) and stores the warning in _compression_warning.
Phase 2 (run_conversation, first call):
_replay_compression_warning() re-sends the stored warning through
status_callback — which the gateway wires AFTER construction. The
warning is then cleared so it only fires once.
This ensures:
- CLI users see the warning immediately at startup (right after the
context limit line)
- Gateway users (Telegram, Discord, Slack, WhatsApp, Signal, Matrix,
Mattermost, Home Assistant, DingTalk, etc.) receive it via
status_callback('lifecycle', ...) on their first message
- logger.warning() always hits agent.log regardless of platform
Also warns when no auxiliary LLM provider is configured at all.
Entire check wrapped in try/except — never blocks startup.
11 tests covering: core warning logic, boundary conditions, exception
safety, two-phase store+replay, gateway callback wiring, and
single-delivery guarantee.
The Weixin adapter was splitting responses at every top-level newline,
causing notification spam (up to 70 API calls for a single long markdown
response). This salvages the best aspects of six contributor PRs:
Compact mode (new default):
- Messages under the 4000-char limit stay as a single bubble even with
multiple lines, paragraphs, and code blocks
- Only oversized messages get split at logical markdown boundaries
- Inter-chunk delay (0.3s) between chunks prevents WeChat rate-limit drops
Legacy mode (opt-in):
- Set split_multiline_messages: true in platforms.weixin.extra config
- Or set WEIXIN_SPLIT_MULTILINE_MESSAGES=true env var
- Restores the old per-line splitting behavior
Salvaged from PRs #7797 (guantoubaozi), #7792 (luoxiao6645),
#7838 (qyx596), #7825 (weedge), #7784 (sherunlock03), #7773 (JnyRoad).
Core fix unanimous across all six; config toggle from #7838; inter-chunk
delay from #7825.
Independent halving of width and height caused aspect ratio distortion
for extreme dimensions (e.g. 8000x200 panoramas). When one axis hit the
64px floor, the other kept shrinking — collapsing the ratio toward 1:1.
Use proportional scaling instead: when either dimension hits the floor,
derive the effective scale factor and apply it to both axes.
Add tests for extreme panorama (8000x200) and tall narrow (200x6000)
images to verify aspect ratio preservation.
hermes claw migrate now always shows a full dry-run preview before
making any changes. The user reviews what would be imported, then
confirms to proceed. --dry-run stops after the preview. --yes skips
the confirmation prompt.
This matches the existing setup wizard flow (_offer_openclaw_migration)
which already did preview-then-confirm.
Docs updated across both docs/migration/openclaw.md and
website/docs/guides/migrate-from-openclaw.md to reflect:
- New preview-first UX flow
- workspace-main/ fallback paths
- accounts.default channel token layout
- TTS edge/microsoft rename
- openclaw.json env sub-object as API key source
- Hyphenated provider API types
- Matrix accessToken field
- SecretRef file/exec warnings
- Skills session restart note
- WhatsApp re-pairing note
- Archive cleanup step
Consolidates fixes from PRs #7869, #7860, #7861, #7862, #7864, #7868.
OpenClaw restructured several internal paths and config schemas that the
migration tool was reading from stale locations:
- workspace/ renamed to workspace-main/ (and workspace-{agentId} for
multi-agent). source_candidate() now checks fallback paths.
- Channel tokens moved from channels.*.botToken to
channels.*.accounts.default.botToken. New _get_channel_field() checks
both flat and accounts.default layout.
- TTS provider 'edge' renamed to 'microsoft'. Migration now checks both
and normalizes back to 'edge' for Hermes.
- API keys stored in openclaw.json 'env' sub-object (env.<KEY> or
env.vars.<KEY>) are now discovered as an additional key source.
- Provider apiType values now hyphenated (openai-completions,
anthropic-messages, google-generative-ai). thinkingDefault expanded
with minimal, xhigh, adaptive.
- Matrix uses accessToken field, not botToken.
- SecretRef file/exec sources now warn instead of silently skipping.
- Migration notes now mention skills requiring session restart and
WhatsApp requiring QR re-pairing.
Co-authored-by: SHL0MS <SHL0MS@users.noreply.github.com>
The auxiliary client previously checked env vars (AUXILIARY_{TASK}_PROVIDER,
AUXILIARY_{TASK}_MODEL, etc.) before config.yaml's auxiliary.{task}.* section.
This violated the project's '.env is for secrets only' policy — these are
behavioral settings, not API keys.
Flipped the resolution order in _resolve_task_provider_model():
1. Explicit args (always win)
2. config.yaml auxiliary.{task}.* (PRIMARY)
3. Env var overrides (backward-compat fallback only)
4. 'auto' (full auto-detection chain)
Env var reading code is kept for backward compatibility but config.yaml
now takes precedence. Updated module docstring and function docstring.
Also removed AUXILIARY_VISION_MODEL from _EXTRA_ENV_KEYS in config.py.
Cherry-picked from PR #7702 by kshitijk4poor.
Adds Xiaomi MiMo as a direct provider (XIAOMI_API_KEY) with models:
- mimo-v2-pro (1M context), mimo-v2-omni (256K, multimodal), mimo-v2-flash (256K, cheapest)
Standard OpenAI-compatible provider checklist: auth.py, config.py, models.py,
main.py, providers.py, doctor.py, model_normalize.py, model_metadata.py,
models_dev.py, auxiliary_client.py, .env.example, cli-config.yaml.example.
Follow-up: vision tasks use mimo-v2-omni (multimodal) instead of the user's
main model. Non-vision aux uses the user's selected model. Added
_PROVIDER_VISION_MODELS dict for provider-specific vision model overrides.
On failure, falls back to aggregators (gemini flash) via existing fallback chain.
Corrects pre-existing context lengths: mimo-v2-pro 1048576→1000000,
mimo-v2-omni 1048576→256000, adds mimo-v2-flash 256000.
36 tests covering registry, aliases, auto-detect, credentials, models.dev,
normalization, URL mapping, providers module, doctor, aux client, vision
model override, and agent init.
The summary model used for context compaction must have a context window
at least as large as the main agent model. If it's smaller, the
summarization API call fails and middle turns are dropped without a
summary, silently losing conversation context.
Promoted the existing note in configuration.md to a visible warning
admonition, and added a matching warning in the developer guide's
context compression page.
Cherry-picked from PR #7749 by kshitijk4poor with modifications:
- Raise hard image limit from 5 MB to 20 MB (matches most restrictive provider)
- Send images at full resolution first; only auto-resize to 5 MB on API failure
- Add _is_image_size_error() helper to detect size-related API rejections
- Auto-resize uses Pillow (soft dep) with progressive downscale + JPEG quality reduction
- Fix get_model_capabilities() to check modalities.input for vision support
- Increase default vision timeout from 30s to 120s (matches hardcoded fallback intent)
- Applied retry-with-resize to both vision_analyze_tool and browser_vision
Closes#7740
Matrix gateway: fix sync loop never dispatching events (#5819)
- _sync_loop() called client.sync() but never called handle_sync()
to dispatch events to registered callbacks — _on_room_message was
registered but never fired for new messages
- Store next_batch token from initial sync and pass as since= to
subsequent incremental syncs (was doing full initial sync every time)
- 17 comments, confirmed by multiple users on matrix.org
Feishu docs: add interactive card configuration for approvals (#6893)
- Error 200340 is a Feishu Developer Console configuration issue,
not a code bug — users need to enable Interactive Card capability
and configure Card Request URL
- Added required 3-step setup instructions to feishu.md
- Added troubleshooting entry for error 200340
- 17 comments from Feishu users
Copilot provider drift: detect GPT-5.x Responses API requirement (#3388)
- GPT-5.x models are rejected on /v1/chat/completions by both OpenAI
and OpenRouter (unsupported_api_for_model error)
- Added _model_requires_responses_api() to detect models needing
Responses API regardless of provider
- Applied in __init__ (covers OpenRouter primary users) and in
_try_activate_fallback() (covers Copilot->OpenRouter drift)
- Fixed stale comment claiming gateway creates fresh agents per message
(it caches them via _agent_cache since the caching was added)
- 7 comments, reported on Copilot+Telegram gateway
* fix(matrix): pass required args to MemoryCryptoStore for mautrix ≥0.21
MemoryCryptoStore.__init__() now requires account_id and pickle_key
positional arguments as of mautrix 0.21. The migration from matrix-nio
(commit 1850747) didn't account for this, causing E2EE initialization
to fail with:
MemoryCryptoStore.__init__() missing 2 required positional arguments:
'account_id' and 'pickle_key'
Pass self._user_id as account_id and derive pickle_key from the same
user_id:device_id pair already used for the on-disk HMAC signature.
Update the test stub to accept the new parameters.
Fixes#7803
* fix: use consistent fallback for pickle_key derivation
Address review: _pickle_key now uses _acct_id (which has the 'hermes'
fallback) instead of raw self._user_id, so both values stay consistent
when user_id is empty.
---------
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
The _PROVIDER_MODELS['openai-codex'] static list was a manually maintained
duplicate of DEFAULT_CODEX_MODELS in codex_models.py. They drifted — the
static list was missing gpt-5.3-codex-spark (and previously gpt-5.4).
Replace the hardcoded list with _codex_curated_models() which calls
DEFAULT_CODEX_MODELS + _add_forward_compat_models() from codex_models.py.
Now both the CLI 'hermes model' flow and the gateway /model picker derive
from the same source of truth. New models added to DEFAULT_CODEX_MODELS
or _FORWARD_COMPAT_TEMPLATE_MODELS automatically appear everywhere.
Telegram flood control during streaming caused messages to be cut off
mid-response. The old behavior permanently disabled edits after a single
flood-control failure, losing the remainder of the response.
Changes:
- Adaptive backoff: on flood-control edit failures, double the edit interval
instead of immediately disabling edits. Only permanently disable after 3
consecutive failures (_MAX_FLOOD_STRIKES).
- Cursor strip: when entering fallback mode, best-effort edit to remove the
cursor (▉) from the last visible message so it doesn't appear stuck.
- Fallback send retry: _send_fallback_final retries each chunk once on
flood-control failures (3s delay) before giving up.
- Default edit_interval increased from 0.3s to 1.0s. Telegram rate-limits
edits at ~1/s per message; 0.3s was virtually guaranteed to trigger flood
control on any non-trivial response.
- _send_or_edit returns bool so the overflow split loop knows not to
truncate accumulated text when an edit fails (prevents content loss).
Fixes: messages cutting/stopping mid-response on Telegram, especially
with streaming enabled.
Based on PR #7285 by @kshitijk4poor.
Two bugs affecting Qwen OAuth users:
1. Wrong context window — qwen3-coder-plus showed 128K instead of 1M.
Added specific entries before the generic qwen catch-all:
- qwen3-coder-plus: 1,000,000 (corrected from PR's 1,048,576 per
official Alibaba Cloud docs and OpenRouter)
- qwen3-coder: 262,144
2. Random stopping — max_tokens was suppressed for Qwen Portal, so the
server applied its own low default. Reasoning models exhaust that on
thinking tokens. Now: honor explicit max_tokens, default to 65536
when unset.
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
* feat: add watch_patterns to background processes for output monitoring
Adds a new 'watch_patterns' parameter to terminal(background=true) that
lets the agent specify strings to watch for in process output. When a
matching line appears, a notification is queued and injected as a
synthetic message — triggering a new agent turn, similar to
notify_on_complete but mid-process.
Implementation:
- ProcessSession gets watch_patterns field + rate-limit state
- _check_watch_patterns() in ProcessRegistry scans new output chunks
from all three reader threads (local, PTY, env-poller)
- Rate limited: max 8 notifications per 10s window
- Sustained overload (45s) permanently disables watching for that process
- watch_queue alongside completion_queue, same consumption pattern
- CLI drains watch_queue in both idle loop and post-turn drain
- Gateway drains after agent runs via _inject_watch_notification()
- Checkpoint persistence + crash recovery includes watch_patterns
- Blocked in execute_code sandbox (like other bg params)
- 20 new tests covering matching, rate limiting, overload kill,
checkpoint persistence, schema, and handler passthrough
Usage:
terminal(
command='npm run dev',
background=true,
watch_patterns=['ERROR', 'WARN', 'listening on port']
)
* refactor: merge watch_queue into completion_queue
Unified queue with 'type' field distinguishing 'completion',
'watch_match', and 'watch_disabled' events. Extracted
_format_process_notification() in CLI and gateway to handle
all event types in a single drain loop. Removes duplication
across both CLI drain sites and the gateway.
The _PROVIDER_MODELS['openai-codex'] list was missing gpt-5.4 and gpt-5.4-mini,
causing them to not appear in the /model picker for ChatGPT OAuth users.
codex_models.py already had these models in DEFAULT_CODEX_MODELS, but the
curated list that feeds the Telegram/Discord /model picker was never updated.
Reported by @chongdashu
The System Overview ASCII diagram had inconsistent box widths:
- Entry Points box bottom border was 73 chars instead of 71
This caused the docs-site-checks CI to fail on every docs-only PR
due to pre-existing errors in the diagram.
Fix: normalize Entry Points bottom border to 71 characters,
matching the top border width.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Cover all public functions with 50 test cases:
- managed_nous_tools_enabled() feature flag toggling
- normalize_browser_cloud_provider() coercion and defaults
- coerce_modal_mode() / normalize_modal_mode() validation
- has_direct_modal_credentials() env vars and config file detection
- resolve_modal_backend_state() full backend selection matrix
- resolve_openai_audio_api_key() priority chain and edge cases
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Follow-up fixes for cherry-pick conflicts:
- Removed test_context_keeps_pending_approval test that referenced
pop_pending() which doesn't exist on current main
- Added headers attribute to FakeResponse in vision test (needed
after #6949 added Content-Length check)
Three fixes for vision_analyze returning cryptic 400 "Invalid request data":
1. Pre-flight base64 size check — base64 inflates data ~33%, so a 3.8 MB
file exceeds the 5 MB API limit. Reject early with a clear message
instead of letting the provider return a generic 400.
2. Handle file:// URIs — strip the scheme and resolve as a local path.
Previously file:///path/to/image.png fell through to the "invalid
image source" error since it matched neither is_file() nor http(s).
3. Separate invalid_request errors from "does not support vision" errors
so the user gets actionable guidance (resize/compress/retry) instead
of a misleading "model does not support vision" message.
Closes#6677
vision_tools.py: _download_image() loads the full HTTP response body into
memory via response.content (line 190) with no Content-Length check and no
max file size limit. An attacker-hosted multi-gigabyte file causes OOM.
Add a 50 MB hard cap: check Content-Length header before download, and
verify actual body size before writing to disk.
hermes_parser.py: tc_data["name"] at line 57 raises KeyError when the LLM
outputs a tool call JSON without a "name" field. The outer except catches
it silently, causing the entire tool call to be lost with zero diagnostics.
Add "name" field validation before constructing the ChatCompletionMessage.
mistral_parser.py: tc["name"] at line 101 has the same KeyError issue in
the pre-v11 format path. The fallback decoder (line 112) already checks
"name" correctly, but the primary path does not. Add validation to match.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
process_registry.py: _reader_loop() has process.wait() after the try-except
block (line 380). If the reader thread crashes with an unexpected exception
(e.g. MemoryError, KeyboardInterrupt), control exits the except handler but
skips wait() — leaving the child as a zombie process. Move wait() and the
cleanup into a finally block so the child is always reaped.
cron/scheduler.py: _run_job_script() only redacts secrets in stdout on the
SUCCESS path (line 417-421). When a cron script fails (non-zero exit), both
stdout and stderr are returned WITHOUT redaction (lines 407-413). A script
that accidentally prints an API key to stderr during a failure would leak it
into the LLM context. Move redaction before the success/failure branch so
both paths benefit.
skill_commands.py: _build_skill_message() enumerates supporting files using
rglob("*") but only checks is_file() (line 171) without filtering symlinks.
PR #6693 added symlink protection to scan_skill_commands() but missed this
function. A malicious skill can create symlinks in references/ pointing to
arbitrary files, exposing their paths (and potentially content via skill_view)
to the LLM. Add is_symlink() check to match the guard in scan_skill_commands.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
YAML parses bare numeric keys (e.g. `12306:`) as int, causing
TypeError when sorted() is called on mixed int/str collections.
Changes:
- Normalize toolset_names entries to str in _get_platform_tools()
- Cast MCP server name to str(name) when building enabled_mcp_servers
- Add regression test
When the stream consumer has sent at least one message (already_sent=True),
the gateway skips sending the final response to avoid duplicates. But this
also suppressed error messages when the agent failed mid-loop — rate limit
exhaustion, context overflow, compression failure, etc.
The user would see the last streamed content and then nothing: no error
message, no explanation. The agent appeared to 'stop responding.'
Fix: check the 'failed' flag at both the producer (_run_agent marks
already_sent) and consumer (_handle_message_with_agent checks it) sites.
Error messages are always delivered regardless of streaming state.
async_call_llm (and call_llm) can return non-OpenAI objects from
custom providers or adapter shims, crashing downstream consumers
with misleading AttributeError ('str' has no attribute 'choices').
Add _validate_llm_response() that checks the response has the
expected .choices[0].message shape before returning. Wraps all
return paths in call_llm, async_call_llm, and fallback paths.
Fails fast with a clear RuntimeError identifying the task, response
type, and a preview of the malformed payload.
Closes#7264
`resolve_provider_client()` already drops OpenRouter-format model slugs
(containing "/") when the resolved provider is not OpenRouter (line 1097).
However, `_get_cached_client()` returns `model or cached_default` directly
on cache hits, bypassing this check entirely.
When the main provider is openai-codex, the auto-detection chain (Step 1
of `_resolve_auto`) caches a CodexAuxiliaryClient. Subsequent auxiliary
calls for different tasks (e.g. compression with `summary_model:
google/gemini-3-flash-preview`) hit the cache and pass the OpenRouter-
format model slug straight to the Codex Responses API, which does not
understand it and returns an empty `response.output`.
This causes two user-visible failures:
- "Invalid API response shape" (empty output after 3 retries)
- "Context length exceeded, cannot compress further" (compression itself
fails through the same path)
Add `_compat_model()` helper that mirrors the "/" check from
`resolve_provider_client()` and call it on the cache-hit return path.
Four fixes to auxiliary_client.py:
1. Respect explicit provider as hard constraint (#7559)
When auxiliary.{task}.provider is explicitly set (not 'auto'),
connection/payment errors no longer silently fallback to cloud
providers. Local-only users (Ollama, vLLM) will no longer get
unexpected OpenRouter billing from auxiliary tasks.
2. Eliminate model='default' sentinel (#7512)
_resolve_api_key_provider() no longer sends literal 'default' as
model name to APIs. Providers without a known aux model in
_API_KEY_PROVIDER_AUX_MODELS are skipped instead of producing
model_not_supported errors.
3. Add payment/connection fallback to async_call_llm (#7512)
async_call_llm now mirrors sync call_llm's fallback logic for
payment (402) and connection errors. Previously, async consumers
(session_search, web_tools, vision) got hard failures with no
recovery. Also fixes hardcoded 'openrouter' fallback to use the
full auto-detection chain.
4. Use accurate error reason in fallback logs (#7512)
_try_payment_fallback() now accepts a reason parameter and uses
it in log messages. Connection timeouts are no longer misleadingly
logged as 'payment error'.
Closes#7559Closes#7512
The auxiliary client always calls client.chat.completions.create(),
ignoring the api_mode config flag. This breaks codex-family models
(e.g. gpt-5.3-codex) on direct OpenAI API keys, which need the
/v1/responses endpoint.
Changes:
- Expand _resolve_task_provider_model to return api_mode (5-tuple)
- Read api_mode from auxiliary.{task}.api_mode config and env vars
(AUXILIARY_{TASK}_API_MODE)
- Pass api_mode through _get_cached_client to resolve_provider_client
- Add _needs_codex_wrap/_wrap_if_needed helpers that wrap plain OpenAI
clients in CodexAuxiliaryClient when api_mode=codex_responses or
when auto-detection finds api.openai.com + codex model pattern
- Apply wrapping at all custom endpoint, named custom provider, and
API-key provider return paths
- Update test mocks for the new 5-tuple return format
Users can now set:
auxiliary:
compression:
model: gpt-5.3-codex
base_url: https://api.openai.com/v1
api_mode: codex_responses
Closes#6800
Refactor hardcoded color constants throughout the CLI to resolve from
the active skin engine, so custom themes fully control the visual
appearance.
cli.py:
- Replace _GOLD constant with _ACCENT (_SkinAwareAnsi class) that
lazily resolves response_border from the active skin
- Rename _GOLD_DEFAULT to _ACCENT_ANSI_DEFAULT
- Make _build_compact_banner() read banner_title/accent/dim from skin
- Make session resume notifications use _accent_hex()
- Make status line use skin colors (accent_color, separator_color,
label_color instead of cryptic _dim_c/_dim_c2/_accent_c/_label_c)
- Reset _ACCENT cache on /skin switch
agent/display.py:
- Replace hardcoded diff ANSI escapes with skin-aware functions:
_diff_dim(), _diff_file(), _diff_hunk(), _diff_minus(), _diff_plus()
(renamed from SCREAMING_CASE _ANSI_* to snake_case)
- Add reset_diff_colors() for cache invalidation on skin switch
_discover_bundled_skills() used the directory name to identify skills,
but skills_tool.py and skills_hub.py use the `name:` field from SKILL.md
frontmatter. This mismatch caused 9 builtin skills whose directory name
differs from their SKILL.md name to be written to .bundled_manifest
under the wrong key, so `hermes skills list` showed them as "local"
instead of "builtin".
Read the frontmatter name field (with directory-name fallback) so the
manifest keys match what the rest of the codebase expects.
Closes#6835
Aligns MiniMax provider with official API documentation. Fixes 6 bugs:
transport mismatch (openai_chat -> anthropic_messages), credential leak
in switch_model(), prompt caching sent to non-Anthropic endpoints,
dot-to-hyphen model name corruption, trajectory compressor URL routing,
and stale doctor health check.
Also corrects context window (204,800), thinking support (manual mode),
max output (131,072), and model catalog (M2 family only on /anthropic).
Source: https://platform.minimax.io/docs/api-reference/text-anthropic-api
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Two fixes for the honcho memory plugin: (1) initOnSessionStart — opt-in eager session init in tools mode so sync_turn() works from turn 1 (default false, non-breaking). (2) peerName fix — gateway user_id no longer silently overwrites an explicitly configured peerName. 11 new tests. Contributed by @Kathie-yu.
The pre_llm_call plugin hook receives session_id, user_message,
conversation_history, is_first_turn, model, and platform — but not
the sender's user_id. This means plugins cannot perform per-user
access control (e.g. restricting knowledge base recall to authorized
users).
The gateway already passes source.user_id as user_id to AIAgent,
which stores it in self._user_id. This change forwards it as
sender_id in the pre_llm_call kwargs so plugins can use it for
ACL decisions.
For CLI sessions where no user_id exists, sender_id defaults to
empty string. Plugins can treat empty sender_id as a trusted local
call (the owner is at the terminal) or deny it depending on their
ACL policy.
_is_oauth_token() returned True for any key not starting with 'sk-ant-api',
which means MiniMax and Alibaba API keys were falsely treated as Anthropic
OAuth tokens. This triggered the Claude Code compatibility path:
- All tool names prefixed with mcp_ (e.g. mcp_terminal, mcp_web_search)
- System prompt injected with 'You are Claude Code' identity
- 'Hermes Agent' replaced with 'Claude Code' throughout
Fix: Make _is_oauth_token() positively identify Anthropic OAuth tokens by
their key format instead of using a broad catch-all:
- sk-ant-* (but not sk-ant-api-*) -> setup tokens, managed keys
- eyJ* -> JWTs from Anthropic OAuth flow
- Everything else -> False (MiniMax, Alibaba, etc.)
Reported by stefan171.
Generate project ideas through creative constraints. Constraint + direction
= creativity.
Core skill (SKILL.md, 147 lines):
- 15 curated constraints across 3 categories: developers, makers, anyone
- Developer-focused prompts: 'solve your own itch', 'the CLI tool that
should exist', 'automate the annoying thing', 'nothing new except glue'
- Matching table: maps user mood/intent to appropriate constraints
- Complete worked example with 3 concrete project ideas
- Output format for consistent, actionable idea presentation
Extended library (references/full-prompt-library.md, 110 lines):
- 30+ additional constraints: communication, screens, philosophy,
transformation, identity, scale, starting points
Constraint approach inspired by wttdotm.com/prompts.html. Adapted for
software development and general-purpose ideation.
- Add agent.close() call to _finalize_shutdown_agents() to prevent
zombie processes (terminal sandboxes, browser daemons, httpx clients)
- Global cleanup (process_registry, environments, browsers) preserved
in _stop_impl() during conflict resolution
- Move /restart CommandDef from 'Info' to 'Session' category to match
/stop and /status
* fix: circuit breaker stops CPU-burning restart loops on persistent errors
When a gateway session hits a non-retryable error (e.g. invalid model
ID → HTTP 400), the agent fails and returns. But if the session keeps
receiving messages (or something periodically recreates agents), each
attempt spawns a new AIAgent — reinitializing MCP server connections,
burning CPU — only to hit the same 400 error again. On a 4-core server,
this pegs an entire core per stuck session and accumulates 300+ minutes
of CPU time over hours.
Fix: add a per-session consecutive failure counter in the gateway runner.
- Track consecutive non-retryable failures per session key
- After 3 consecutive failures (_MAX_CONSECUTIVE_FAILURES), block
further agent creation for that session and notify the user:
'⚠️ This session has failed N times in a row with a non-retryable
error. Use /reset to start a new session.'
- Evict the cached agent when the circuit breaker engages to prevent
stale state from accumulating
- Reset the counter on successful agent runs
- Clear the counter on /reset and /new so users can recover
- Uses getattr() pattern so bare GatewayRunner instances (common in
tests using object.__new__) don't crash
Tests:
- 8 new tests in test_circuit_breaker.py covering counter behavior,
threshold, reset, session isolation, and bare-runner safety
Addresses #7130.
* Revert "fix: circuit breaker stops CPU-burning restart loops on persistent errors"
This reverts commit d848ea7109d62a2fc4ba6da36fc4f0366b5ded94.
* fix: don't evict cached agent on failed runs — prevents MCP restart loop
When a run fails (e.g. invalid model ID → 400) and fallback activated,
the gateway was evicting the cached agent to 'retry primary next time.'
But evicting a failed agent forces a full AIAgent recreation on the next
message — reinitializing MCP server connections, spawning stdio
processes — only to hit the same 400 again. This created a CPU-burning
loop (91%+ for hours, #7130).
The fix: add `and not _run_failed` to the fallback-eviction check.
Failed runs keep the cached agent. The next message reuses it (no MCP
reinit), hits the same error, returns it to the user quickly. The user
can /reset or /model to fix their config.
Successful fallback runs still evict as before so the next message
retries the primary model.
Addresses #7130.
- Remove unreachable `if not content_sample` branch inside the truthy
`if content_sample` block in `_is_likely_binary()` (dead code that
could never execute).
- Replace `linter_cmd.format(file=...)` with `linter_cmd.replace("{file}", ...)`
in `_check_lint()` so file paths containing curly braces (e.g.
`src/{test}.py`) no longer raise KeyError/ValueError.
- Add 16 unit tests covering both fixes and edge cases.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GPT-5+ models (except gpt-5-mini) are only accessible via the Responses
API on Copilot. When these models were configured as the compression
summary_model (or any auxiliary task), the plain OpenAI client sent them
to /chat/completions which returned a 400 error:
model "gpt-5.4-mini" is not accessible via the /chat/completions endpoint
resolve_provider_client() now checks _should_use_copilot_responses_api()
for the copilot provider and wraps the client in CodexAuxiliaryClient
when needed, routing calls through responses.stream() transparently.
Adds tests for both the wrapping (gpt-5.4-mini) and non-wrapping
(gpt-4.1-mini) paths.
Add delegation.reasoning_effort config key so subagents can run at a
different thinking level than the parent agent. When set, overrides
the parent's reasoning_config; when empty, inherits as before.
Valid values: xhigh, high, medium, low, minimal, none (disables thinking).
Config path: delegation.reasoning_effort in config.yaml
Files changed:
- tools/delegate_tool.py: resolve override in _build_child_agent
- hermes_cli/config.py: add reasoning_effort to DEFAULT_CONFIG
- tests/tools/test_delegate.py: 4 new tests covering all cases
Follow-up fixes for the matrix-nio → mautrix migration:
1. Module-level mautrix.types import now wrapped in try/except with
proper stub classes. Without this, importing gateway.platforms.matrix
crashes the entire gateway when mautrix isn't installed — even for
users who don't use Matrix. The stubs mirror mautrix's real attribute
names so tests that exercise adapter methods (send, reactions, etc.)
work without the real SDK.
2. Removed _ensure_mautrix_mock() from test_matrix_mention.py — it
permanently installed MagicMock modules in sys.modules via setdefault(),
polluting later tests in the suite. No longer needed since the module
imports cleanly without mautrix.
3. Fixed thread persistence tests to use direct class reference in
monkeypatch.setattr() instead of string-based paths, which broke
when the module was reimported by other tests.
4. Moved the module-importability test to a subprocess to prevent it
from polluting sys.modules (reimporting creates a second module object
with different __dict__, breaking patch.object in subsequent tests).
The old nio code only handled RoomMessageText (m.text). The mautrix
rewrite dispatched both m.text and m.notice, which would cause infinite
loops between bots since m.notice is the conventional msgtype for bot
responses in the Matrix ecosystem.
- Add api.session.close() on E2EE dep check and E2EE setup failure
paths (two missing cleanup points from the mautrix migration)
- Replace raw pickle.load/dump with HMAC-SHA256 signed payloads to
prevent arbitrary code execution from a tampered store file
- Extract _resolve_message_context() to deduplicate ~40 lines of
mention/thread/DM gating logic between text and media handlers
- Move mautrix.types imports to module level (16 scattered local
imports consolidated)
- Parse mention/thread env vars once in __init__ instead of per-message
- Cache _is_bot_mentioned() result instead of calling 3x per event
- Consolidate send_emote/send_notice into shared _send_simple_message()
- Use _is_dm_room() in get_chat_info() instead of inline duplication
- Add _CRYPTO_PICKLE_PATH constant (was duplicated in 2 locations)
- Fix fragile event_ts extraction (double getattr, None safety)
- Clean up leaked aiohttp session on auth failure paths
- Remove redundant trailing _track_thread() calls
Address two bugs found by code review:
1. MemoryCryptoStore loses all E2EE keys on restart — now pickle the
store to disk on disconnect and restore on connect, preserving
Megolm sessions across restarts.
2. Encrypted events buffered for retry were silently dropped after
decryption because _on_encrypted_event registered the event ID
in the dedup set, then _on_room_message rejected it as a
duplicate. Now clear the dedup entry before routing decrypted
events.
Translate all nio SDK calls to mautrix equivalents while preserving the
adapter structure, business logic, and all features (E2EE, reactions,
threading, mention gating, text batching, media caching, voice MSC3245).
Key changes:
- nio.AsyncClient -> mautrix.client.Client + HTTPAPI + MemoryStateStore
- Manual E2EE key management -> OlmMachine with auto key lifecycle
- isinstance(resp, nio.XxxResponse) -> mautrix returns values directly
- add_event_callback per type -> single ROOM_MESSAGE handler with
msgtype dispatch
- Room state (member_count, display_name) via async state store lookups
- Upload/download return ContentURI/bytes directly (no wrapper objects)
matrix-nio pulls in peewee -> atomicwrites (sdist-only, archived,
missing build-system metadata) which breaks nix flake builds.
mautrix-python publishes wheels, has a leaner dep tree, and its
[encryption] extra uses the same python-olm without the problematic
transitive chain.
- Add shared is_wsl() to hermes_constants (like is_termux)
- Update supports_systemd_services() to verify systemd is actually
running on WSL before returning True
- Add WSL-specific guidance in gateway install/start/setup/status
for both cases: WSL+systemd and WSL without systemd
- Improve help strings: 'run' now says recommended for WSL/Docker,
'start'/'install' now mention systemd/launchd explicitly
- Add WSL gateway FAQ section with tmux/nohup/Task Scheduler tips
- Update CLI commands docs with WSL tip
- Deduplicate _is_wsl() from clipboard.py to shared hermes_constants
- Fix clipboard tests to reset hermes_constants cache
- 20 new WSL-specific tests covering detection, systemd check,
supports_systemd_services integration, and command output
Motivated by user feedback: took 1 hour to figure out run vs start
on WSL, Telegram bot kept disconnecting due to flaky WSL systemd.
Cover the three key behaviors:
- bulk_upload_fn is called instead of per-file upload_fn
- Fallback to upload_fn when bulk_upload_fn is None
- Rollback on bulk upload failure retries all files
warnings.warn() is suppressed/invisible when running as a gateway
or agent. Switch to logger.warning() so the disk cap message
actually appears in logs.
Fixes#7362 (item 3).
Add terminal.container_cpu, container_memory, container_disk, and
container_persistent to the _config_to_env_sync dict so that
`hermes config set terminal.container_memory 8192` correctly
writes TERMINAL_CONTAINER_MEMORY=8192 to ~/.hermes/.env.
Previously these YAML keys had no effect because terminal_tool.py
reads only env vars and the bridge was missing these mappings.
Fixes#7362 (item 2).
FileSyncManager now accepts an optional bulk_upload_fn callback.
When provided, all changed files are uploaded in one call instead
of iterating one-by-one with individual HTTP POSTs.
DaytonaEnvironment wires this to sandbox.fs.upload_files() which
batches everything into a single multipart POST — ~580 files goes
from ~5 min to <2s on init.
Parent directories are pre-created in one mkdir -p call.
Fixes#7362 (item 1).
- Remove auto-activation: when context.engine is 'compressor' (default),
plugin-registered engines are NOT used. Users must explicitly set
context.engine to a plugin name to activate it.
- Add curses_radiolist() to curses_ui.py: single-select radio picker
with keyboard nav + text fallback, matching curses_checklist pattern.
- Rewrite cmd_toggle() as composite plugins UI:
Top section: general plugins with checkboxes (existing behavior)
Bottom section: provider plugin categories (Memory Provider, Context Engine)
with current selection shown inline. ENTER/SPACE on a category opens
a radiolist sub-screen for single-select configuration.
- Add provider discovery helpers: _discover_memory_providers(),
_discover_context_engines(), config read/save for memory.provider
and context.engine.
- Add tests: radiolist non-TTY fallback, provider config save/load,
discovery error handling, auto-activation removal verification.
Follow-up fixes for the context engine plugin slot (PR #5700):
- Enhance ContextEngine ABC: add threshold_percent, protect_first_n,
protect_last_n as class attributes; complete update_model() default
with threshold recalculation; clarify on_session_end() lifecycle docs
- Add ContextCompressor.update_model() override for model/provider/
base_url/api_key updates
- Replace all direct compressor internal access in run_agent.py with
ABC interface: switch_model(), fallback restore, context probing
all use update_model() now; _context_probed guarded with getattr/
hasattr for plugin engine compatibility
- Create plugins/context_engine/ directory with discovery module
(mirrors plugins/memory/ pattern) — discover_context_engines(),
load_context_engine()
- Add context.engine config key to DEFAULT_CONFIG (default: compressor)
- Config-driven engine selection in run_agent.__init__: checks config,
then plugins/context_engine/<name>/, then general plugin system,
falls back to built-in ContextCompressor
- Wire on_session_end() in shutdown_memory_provider() at real session
boundaries (CLI exit, /reset, gateway expiry)
- PluginContext.register_context_engine() lets plugins replace the
built-in ContextCompressor with a custom ContextEngine implementation
- PluginManager stores the registered engine; only one allowed
- run_agent.py checks for a plugin engine at init before falling back
to the default ContextCompressor
- reset_session_state() now calls engine.on_session_reset() instead of
poking internal attributes directly
- ContextCompressor.on_session_reset() handles its own internals
(_context_probed, _previous_summary, etc.)
- 19 new tests covering ABC contract, defaults, plugin slot registration,
rejection of duplicates/non-engines, and compressor reset behavior
- All 34 existing compressor tests pass unchanged
Introduces agent/context_engine.py — an abstract base class that defines
the pluggable context engine interface. ContextCompressor now inherits
from ContextEngine as the default implementation.
No behavior change. All 34 existing compressor tests pass.
This is the foundation for a context engine plugin slot, enabling
third-party engines like LCM (Lossless Context Management) to replace
the built-in compressor via the plugin system.
When models return empty responses (no content, no tool calls, no
reasoning), Hermes previously retried 3 times silently then fell through
to '(empty)' — without ever trying the fallback provider chain. Users on
GLM-4.5-Air and similar models experienced what appeared to be a
complete hang, especially in gateway (Telegram/Discord) contexts where
the silent retries produced zero feedback.
Changes:
- After exhausting 3 empty retries, attempt _try_activate_fallback()
before giving up with '(empty)'. If fallback succeeds, reset retry
counter and continue the conversation loop with the new provider.
- Replace all _vprint() calls in recovery paths with _emit_status(),
which surfaces messages through both CLI (_vprint with force=True)
and gateway (status_callback -> adapter.send). Users now see:
* '⚠️ Empty response from model — retrying (N/3)' during retries
* '⚠️ Model returning empty responses — switching to fallback...'
* '↻ Switched to fallback: <model> (<provider>)' on success
* '❌ Model returned no content after all retries [and fallback]'
- Add logger.warning() throughout empty response paths for log file
visibility (model name, provider, retry counts).
- Upgrade _last_content_with_tools fallback from logger.debug to
logger.info + _emit_status so recovery is visible.
- Upgrade thinking-only prefill continuation to use _emit_status.
Tests:
- test_empty_response_triggers_fallback_provider: verifies fallback
activation after 3 empty retries produces content from fallback model
- test_empty_response_fallback_also_empty_returns_empty: verifies
graceful degradation when fallback also returns empty
- test_empty_response_emits_status_for_gateway: verifies _emit_status
is called during retries so gateway users see feedback
Addresses #7180.
Tool progress markers (e.g. `⏰ list`) were injected directly into
SSE delta.content chunks. OpenAI-compatible frontends (Open WebUI,
LobeChat, etc.) store delta.content verbatim as the assistant message
and send it back on subsequent requests. After enough turns, the model
learns to emit these markers as plain text instead of issuing real tool
calls — silently hallucinating tool results without ever running them.
Fix: Send tool progress as a custom `event: hermes.tool.progress` SSE
event instead of mixing it into delta.content. Per the SSE spec, clients
that don't understand a custom event type silently ignore it, so this is
backward-compatible. Frontends that want to render progress indicators
can listen for the custom event without persisting it to conversation
history.
The /v1/runs endpoint already uses structured events — this aligns the
/v1/chat/completions streaming path with the same principle.
Closes#6972
* fix(nix): gate matrix extra to Linux in [all] profile
matrix-nio[e2e] depends on python-olm which is upstream-broken on modern
macOS (Clang 21+, archived libolm). Previously the [matrix] extra was
completely excluded from [all], meaning NixOS users (who install via [all])
had no Matrix support at all.
Add a sys_platform == 'linux' marker so [all] pulls in [matrix] on Linux
(where python-olm builds fine) while still skipping it on macOS. This
fixes the NixOS setup path without breaking macOS installs.
Update the regression test to verify the Linux-gated marker is present
rather than just checking matrix is absent from [all].
Fixes#4594
* chore: regenerate uv.lock with matrix-on-linux in [all]
Six platforms (matrix, mattermost, dingtalk, feishu, wecom, homeassistant)
were missing from the session-based discovery loop, causing /channels and
send_message to return empty results on those platforms.
Instead of adding them to the hardcoded tuple (which would break again when
new platforms are added), derive the list dynamically from the Platform enum.
Only infrastructure entries (local, api_server, webhook) are excluded;
Discord and Slack are skipped automatically because their direct builders
already populate the platforms dict.
Reported by sprmn24 in PR #7416.
When two gateway messages arrived concurrently, _set_session_env wrote
HERMES_SESSION_PLATFORM/CHAT_ID/CHAT_NAME/THREAD_ID into the process-global
os.environ. Because asyncio tasks share the same process, Message B would
overwrite Message A's values mid-flight, causing background-task notifications
and tool calls to route to the wrong thread/chat.
Replace os.environ with Python's contextvars.ContextVar. Each asyncio task
(and any run_in_executor thread it spawns) gets its own copy, so concurrent
messages never interfere.
Changes:
- New gateway/session_context.py with ContextVar definitions, set/clear/get
helpers, and os.environ fallback for CLI/cron/test backward compatibility
- gateway/run.py: _set_session_env returns reset tokens, _clear_session_env
accepts them for proper cleanup in finally blocks
- All tool consumers updated: cronjob_tools, send_message_tool, skills_tool,
terminal_tool (both notify_on_complete AND check_interval blocks), tts_tool,
agent/skill_utils, agent/prompt_builder
- Tests updated for new contextvar-based API
Fixes#7358
Co-authored-by: teknium1 <127238744+teknium1@users.noreply.github.com>
Two fixes from PR review:
1. Session expiry was looking in _running_agents for the cached agent,
but idle expired sessions live in _agent_cache. Now checks
_agent_cache first, falls back to _running_agents.
2. Global cleanup in stop() was missing process_registry.kill_all(),
so background processes from agents evicted without close() (branch,
fallback) survived shutdown.
Use getattr guard for _agent_cache_lock in _handle_reset_command
because test fixtures may create GatewayRunner without calling
__init__, leaving the attribute unset.
Fixes e2e test failure: test_new_resets_session,
test_new_then_status_reflects_reset, test_new_is_idempotent.
Add 9 tests covering the full zombie process prevention chain:
- TestZombieReproduction: demonstrates that processes survive when
references are dropped without explicit cleanup (the original bug)
- TestAgentCloseMethod: verifies close() calls all cleanup functions,
is idempotent, propagates to children, and continues cleanup even
when individual steps fail
- TestGatewayCleanupWiring: verifies stop() calls close() and that
_evict_cached_agent() does NOT call close() (since it's also used
for non-destructive cache refreshes)
- TestDelegationCleanup: calls the real _run_single_child function and
verifies close() is called on the child agent
Ref: #7131
Call child.close() in the _run_single_child finally block after
unregistering the child from the parent's active children list.
Previously child AIAgent instances were only removed from the tracking
list but never had their resources released — the OpenAI/httpx client
and any tool subprocesses relied entirely on garbage collection.
Ref: #7131
Wire AIAgent.close() into every gateway code path where an agent's
session is actually ending:
- stop(): close all running agents after interrupt + memory shutdown,
then call cleanup_all_environments() and cleanup_all_browsers() as
a global catch-all
- _session_expiry_watcher(): close agents when sessions expire after
the 5-minute idle timeout
- _handle_reset_command(): close the old agent before evicting it from
cache on /new or /reset
Note: _evict_cached_agent() intentionally does NOT call close() because
it is also used for non-destructive cache refreshes (model switch,
branch, fallback) where tool resources should persist.
Ref: #7131
Add a close() method to AIAgent that acts as a single entry point for
releasing all resources held by an agent instance. This prevents zombie
process accumulation on long-running gateway deployments by explicitly
cleaning up:
- Background processes tracked in ProcessRegistry
- Terminal sandbox environments
- Browser daemon sessions
- Active child agents (subagent delegation)
- OpenAI/httpx client connections
Each cleanup step is independently guarded so a failure in one does not
prevent the rest. The method is idempotent and safe to call multiple
times.
Also simplifies the background review cleanup to use close() instead
of manually closing the OpenAI client.
Ref: #7131
Add is_network_accessible() helper using Python's ipaddress module to
robustly classify bind addresses (IPv4/IPv6 loopback, wildcards,
mapped addresses, hostname resolution with DNS-failure-fails-closed).
The API server connect() now refuses to start when the bind address is
network-accessible and no API_SERVER_KEY is set, preventing RCE from
other machines on the network.
Co-authored-by: entropidelic <entropidelic@users.noreply.github.com>
1. Add missing `last_delivery_error` field initialization in `create_job()`.
`mark_job_run()` sets this field on line 596 but it was never initialized,
causing inconsistent job schemas between new and executed jobs.
2. Replace unnecessary `save_jobs()` call with a warning log when
`mark_job_run()` is called with a non-existent job_id. Previously the
function would silently write unchanged data to disk.
3. Add `cancel_futures=True` to the `finally` block in cron scheduler's
thread pool shutdown. The `except` path already passes this flag but
the normal exit path did not, leaving futures running after inactivity
timeout detection.
- Bug 1: replace read_file(limit=10000) with read_file_raw in _apply_update,
preventing silent truncation of files >2000 lines and corruption of lines
>2000 chars; add read_file_raw to FileOperations abstract interface and
ShellFileOperations
- Bug 2: split apply_v4a_operations into validate-then-apply phases; if any
hunk fails validation, zero writes occur (was: continue after failure,
leaving filesystem partially modified)
- Bug 3: parse_v4a_patch now returns an error for begin-marker-with-no-ops,
empty file paths, and moves missing a destination (was: always returned
error=None)
- Bug 4: raise strategy 7 (block anchor) single-candidate similarity threshold
from 0.10 to 0.50, eliminating false-positive matches in repetitive code
- Bug 5: add _strategy_unicode_normalized (new strategy 7) with position
mapping via _build_orig_to_norm_map; smart quotes and em-dashes in
LLM-generated patches now match via strategies 1-6 before falling through
to fuzzy strategies
- Bug 6: extend fuzzy_find_and_replace to return 4-tuple (content, count,
error, strategy); update all 5 call sites across patch_parser.py,
file_operations.py, and skill_manager_tool.py
- Bug 7: guard in _apply_update returns error when addition-only context hint
is ambiguous (>1 occurrences); validation phase errors on both 0 and >1
- Bug 8: _apply_delete returns error (not silent success) on missing file
- Bug 9: _validate_operations checks source existence and destination absence
for MOVE operations before any write occurs
Three locations perform `int()` conversion on environment variables or
HTTP headers without error handling, causing unhandled `ValueError` crashes
when the values are non-numeric:
1. `send_message_tool.py` — `EMAIL_SMTP_PORT` env var parsed outside the
try/except block; a non-numeric value crashes `_send_email()` instead
of returning a user-friendly error.
2. `process_registry.py` — `TERMINAL_TIMEOUT` env var parsed without
protection; a non-numeric value crashes the `wait()` method.
3. `skills_hub.py` — HTTP `Retry-After` header can contain date strings
per RFC 7231; `int()` conversion crashes on non-numeric values.
All three now fall back to their default values on `ValueError`/`TypeError`.
When enabled, @mentioning the bot in a DM creates a thread (default:
false). Supports both env var and YAML config (matrix.dm_mention_threads).
6 new tests, docs updated.
From #6957
Bot-added and bot-removed events were silently dropped because
_on_bot_added_to_chat and _on_bot_removed_from_chat were not
registered in _build_event_handler().
From #6975
The profile system expects these directories but they weren't
being created on container startup. Adds them to the mkdir list
alongside the existing dirs.
Co-authored-by: Tranquil-Flow <tranquil_flow@protonmail.com>
Add the [socks] extra to the httpx dependency to include the required
'socksio' package. This fixes the error: "Using SOCKS proxy, but the
'socksio' package is not installed" when users configure SOCKS proxy
settings.
Two issues with sandbox container spawning:
1. PID 1 was `sleep 2h` which doesn't call wait() — every background
process that exited became a zombie (<defunct>), and the process
tool reported them as "running" because zombie PIDs still exist in
the process table. Fix: add --init to docker run, which uses
tini (Docker) or catatonit (Podman) as PID 1 to reap children
automatically. Both runtimes support --init natively.
2. The fixed 2-hour lifetime was arbitrary and sometimes too short
for long agent sessions. Fix: replace 'sleep 2h' with
'sleep infinity'. The idle reaper (_cleanup_inactive_envs, gated
by terminal.lifetime_seconds, default 300s) already handles
cleanup based on last activity timestamp — there's no need for
the container itself to have a fixed death timer.
Fixes#6908.
Playwright's --with-deps flag only supports apt-based dependency
installation. The install script previously ran it on all non-Arch
systems, failing silently on Gentoo, Fedora, openSUSE, and others.
- Restrict --with-deps to known apt-based distributions
- Add explicit guidance for RPM-based (dnf) and zypper-based systems
- Show visible warnings instead of suppressing failures with || true
- Correct misleading comment that claimed dnf/zypper support
Fixes#6865
When _build_api_kwargs() throws an exception, the except handler in
the retry loop referenced api_kwargs before it was assigned. This
caused an UnboundLocalError that masked the real error, making
debugging impossible for the user.
Two _dump_api_request_debug() calls in the except block (non-retryable
client error path and max-retries-exhausted path) both accessed
api_kwargs without checking if it was assigned.
Fix: initialize api_kwargs = None before the retry loop and guard both
dump calls. Now the real error surfaces instead of the masking
UnboundLocalError.
Reported by Discord user gruman0.
HERMES_OVERLAYS keys use models.dev IDs (e.g. 'github-copilot') but
_PROVIDER_MODELS curated lists and config.yaml use Hermes provider IDs
('copilot'). list_authenticated_providers() Section 2 was using the
overlay key directly for model lookups and is_current checks, causing:
- 0 models shown for copilot, kimi, kilo, opencode, vercel
- is_current never matching the config provider
Fix: build reverse mapping from PROVIDER_TO_MODELS_DEV to translate
overlay keys to Hermes slugs before curated list lookup and result
construction. Also adds 'kimi-for-coding' alias in auth.py so the
picker's returned slug resolves correctly in resolve_provider().
Fixes#5223. Based on work by HearthCore (#6492) and linxule (#6287).
Co-authored-by: HearthCore <HearthCore@users.noreply.github.com>
Co-authored-by: linxule <linxule@users.noreply.github.com>
Replace the simple DISCORD_IGNORE_NO_MENTION check with bot-aware
multi-agent filtering. When multiple agents share a channel:
- If other bots are @mentioned but this bot is not → stay silent
- If only humans are mentioned but not this bot → stay silent
- Messages with no mentions still flow to _handle_message for the
existing DISCORD_REQUIRE_MENTION check
- DMs are unaffected (always handled)
This prevents both agents from responding when only one is addressed.
Adds xAI as a first-class provider: ProviderConfig in auth.py,
HermesOverlay in providers.py, 11 curated Grok models, URL mapping
in model_metadata.py, aliases (x-ai, x.ai), and env var tests.
Uses standard OpenAI-compatible chat completions.
Closes#7050
`delegate_task` silently truncated batch tasks to 3 — the model sends
5 tasks, gets results for 3, never told 2 were dropped. Now returns a
clear tool_error explaining the limit and how to fix it.
The limit is configurable via:
- delegation.max_concurrent_children in config.yaml (priority 1)
- DELEGATION_MAX_CONCURRENT_CHILDREN env var (priority 2)
- default: 3
Uses the same _load_config() path as the rest of delegate_task for
consistent config priority. Clamps to min 1, warns on non-integer
config values.
Also removes the hardcoded maxItems: 3 from the JSON schema — the
schema was blocking the model from even attempting >3 tasks before
the runtime check could fire. The runtime check gives a much more
actionable error message.
Backwards compatible: default remains 3, existing configs unchanged.
When delegation.base_url routes subagents to a different endpoint, the
correct URL was passed through _resolve_delegation_credentials() and
_build_child_agent() into AIAgent.__init__(), but self.base_url could
fall out of sync with client_kwargs["base_url"] — the value the OpenAI
client actually uses.
This caused billing_base_url in session records to show the parent's
endpoint while actual API calls went to the correct delegation target.
Keep self.base_url in sync with client_kwargs after the credential
resolution block, matching the existing pattern for self.api_key.
Fixes#6825
Isolate system tool configs (git, ssh, gh, npm) per profile by injecting
a per-profile HOME into subprocess environments only. The Python
process's own os.environ['HOME'] and Path.home() are never modified,
preserving all existing profile infrastructure.
Activation is directory-based: when {HERMES_HOME}/home/ exists on disk,
subprocesses see it as HOME. The directory is created automatically for:
- Docker: entrypoint.sh bootstraps it inside the persistent volume
- Named profiles: added to _PROFILE_DIRS in profiles.py
Injection points (all three subprocess env builders):
- tools/environments/local.py _make_run_env() — foreground terminal
- tools/environments/local.py _sanitize_subprocess_env() — background procs
- tools/code_execution_tool.py child_env — execute_code sandbox
Single source of truth: hermes_constants.get_subprocess_home()
Closes#4426
Brings back the live elapsed time counter that was lost when the CLI
transitioned from raw KawaiiSpinner animation to prompt_toolkit TUI.
The original implementation (Feb 2026) used KawaiiSpinner per tool call
with \r-based animation showing '(4.2s)' ticking up live. When
patch_stdout was introduced, the \r animation was disabled and replaced
with a static _spinner_text widget that only showed the tool name.
Now the spinner widget shows elapsed time again:
💻 git log --oneline (3.2s)
Implementation:
- Track _tool_start_time (monotonic) on tool.started events
- Clear it on tool.completed and thinking transitions
- get_spinner_text() computes live elapsed on each TUI repaint
- The existing poll loop already invalidates every ~0.15s, so no
extra timer thread is needed
Addresses #4287.
Broaden the UnicodeEncodeError recovery to handle systems with ASCII-only
locale (LANG=C, Chromebooks) where ANY non-ASCII character causes encoding
failure, not just lone surrogates.
Changes:
- Add _strip_non_ascii() and _sanitize_messages_non_ascii() helpers that
strip all non-ASCII characters from message content, name, and tool_calls
- Update the UnicodeEncodeError handler to detect ASCII codec errors and
fall back to non-ASCII sanitization after surrogate check fails
- Sanitize tool_calls arguments and name fields (not just content)
- Fix bare .encode() in cli.py suspend handler to use explicit utf-8
- Add comprehensive test suite (17 tests)
hermes skills browse ran all 7 source adapters serially with no overall
timeout and no progress indicator. On a cold cache, GitHubSource alone
could make 100+ sequential HTTP calls (directory listing + inspect per
skill per tap), taking 5+ minutes with no output — appearing to hang.
Changes:
- Add parallel_search_sources() in tools/skills_hub.py that runs all
source adapters concurrently via ThreadPoolExecutor with a 30s
overall timeout. Sources that finish in time contribute results;
slow ones are skipped gracefully with a visible notice.
- Update unified_search() to use parallel_search_sources() internally.
- Update do_browse() and do_search() in hermes_cli/skills_hub.py to
show a Rich spinner while fetching, so the user sees activity.
- Bump per-source limits (clawhub 50→500, lobehub 50→500, etc.) now
that fetching is parallel — yields far more results per browse.
- Report timed-out sources and suggest re-running for cached results.
- Replace 'inspect/install' footer with 'search deeper' tip.
Worst-case latency drops from 5+ minutes (serial) to ~30s (parallel
with timeout cap). Result count should jump from ~242 to 1000+.
When delegate_task runs, the parent agent's activity tracker freezes
because child.run_conversation() blocks and the child's own
_touch_activity() never propagates back to the parent. The gateway
inactivity timeout then fires a spurious 'No activity' warning and
eventually kills the agent, even though the subagent is actively working.
Fix: add a heartbeat thread in _run_single_child that calls
parent._touch_activity() every 30 seconds with detail from the child's
activity summary (current tool, iteration count). The thread is a daemon
that starts before child.run_conversation() and is cleaned up in the
finally block.
This also improves the gateway 'Still working...' status messages —
instead of just 'running: delegate_task', users now see what the
subagent is actually doing (e.g., 'delegate_task: subagent running
terminal (iteration 5/50)').
_resolve_verify() returned stale CA bundle paths from auth.json without
checking if the file exists. When a user logs into Nous Portal on their
host (where SSL_CERT_FILE points to a valid cert), that path gets
persisted in auth.json. Running hermes model later in Docker where the
host path doesn't exist caused FileNotFoundError bubbling up as
'Could not verify credentials: [Errno 2] No such file or directory'.
Now _resolve_verify validates the path exists before returning it. If
missing, logs a warning and falls back to True (default certifi-based
TLS verification).
- Remove sys.path.insert hack (leftover from standalone dev)
- Add token lock (acquire_scoped_lock/release_scoped_lock) in
connect()/disconnect() to prevent duplicate pollers across profiles
- Fix get_connected_platforms: WEIXIN check must precede generic
token/api_key check (requires both token AND account_id)
- Add WEIXIN_HOME_CHANNEL_NAME to _EXTRA_ENV_KEYS
- Add gateway setup wizard with QR login flow
- Add platform status check for partially configured state
- Add weixin.md docs page with full adapter documentation
- Update environment-variables.md reference with all 11 env vars
- Update sidebars.ts to include weixin docs page
- Wire all gateway integration points onto current main
Salvaged from PR #6747 by Zihan Huang.
In Docker, HERMES_HOME=/opt/data (set in Dockerfile) and users mount
their .hermes directory to /opt/data. However, profile operations used
Path.home() / '.hermes' which resolves to /root/.hermes in Docker —
an ephemeral container path, not the mounted volume.
This caused:
- Profiles created at /root/.hermes/profiles/ (lost on container recreate)
- active_profile sticky file written to wrong location
- profile list looking at wrong directory
Fix: Add get_default_hermes_root() to hermes_constants.py that detects
Docker/custom deployments (HERMES_HOME outside ~/.hermes) and returns
HERMES_HOME as the root. Also handles Docker profiles correctly
(<root>/profiles/<name> → root is grandparent).
Files changed:
- hermes_constants.py: new get_default_hermes_root()
- hermes_cli/profiles.py: _get_default_hermes_home() delegates to shared fn
- hermes_cli/main.py: _apply_profile_override() + _invalidate_update_cache()
- hermes_cli/gateway.py: _profile_suffix() + _profile_arg()
- Tests: 12 new tests covering Docker scenarios
fetch_api_models is imported locally inside _model_flow_named_custom from
hermes_cli.models, not defined as a module-level attribute of hermes_cli.main.
Patch the source module so the local import picks up the mock.
Also force simple_term_menu ImportError so tests reliably use the input()
fallback path regardless of environment.
Co-Authored-By: Claude <noreply@anthropic.com>
Previously, _model_flow_named_custom() returned immediately when a saved
model existed, making it impossible to switch models on multi-model
endpoints (OpenRouter, vLLM clusters, etc.).
Now the function always probes the endpoint and shows the selection menu
with the current model pre-selected and marked '(current)'. Falls back
to the saved model if endpoint probing fails.
Fixes#6862
When opencode-go API key is set, it should appear in the /model list.
The provider was already in PROVIDER_TO_MODELS_DEV and PROVIDER_REGISTRY,
so it appears via Part 1 (built-in source).
Also fixes a potential issue in Part 2 (HERMES_OVERLAYS) where providers
with auth_type=api_key but no extra_env_vars would not be detected:
- Now also checks api_key_env_vars from PROVIDER_REGISTRY for api_key auth_type
- Add test verifying opencode-go appears when OPENCODE_GO_API_KEY is set
When switching models at runtime, the config_context_length override
was not being passed to the new context compressor instance. This
meant the user-specified context length from config.yaml was lost
after a model switch.
- Store _config_context_length on AIAgent instance during __init__
- Pass _config_context_length when creating new ContextCompressor in switch_model
- Add test to verify config_context_length is preserved across model switches
Fixes: quando estamos alterando o modelo não está alterando o tamanho do contexto
Port from anomalyco/opencode#21355: Alibaba's DashScope API returns a
unique throttling message ('Request rate increased too quickly...') that
doesn't match standard rate-limit patterns ('rate limit', 'too many
requests'). This caused Alibaba errors to fall through to the 'unknown'
category rather than being properly classified as rate_limit with
appropriate backoff/rotation.
Add 'rate increased too quickly' to _RATE_LIMIT_PATTERNS and test with
the exact error message observed from the Alibaba provider.
Telegram's Bot API only allows a specific set of emoji for bot reactions
(the ReactionEmoji enum). ✅ (U+2705) and ❌ (U+274C) are not in that
set, causing on_processing_complete reactions to silently fail with
REACTION_INVALID (caught at debug log level).
Replace with 👍 (U+1F44D) / 👎 (U+1F44E) which are always available in
Telegram's allowed reaction list. The 👀 (eyes) reaction used by
on_processing_start was already valid.
Based on the fix by @ppdng in PR #6685.
Fixes#6068
After curses.wrapper() or simple_term_menu exits, endwin() restores the
terminal but does NOT drain the OS input buffer. Leftover escape-sequence
bytes from arrow key navigation remain buffered and get silently consumed
by the next input()/getpass.getpass() call.
This caused a user-reported bug where selecting Z.AI/GLM as provider wrote
^[^[ (two ESC chars) into .env as the API key, because the buffered escape
bytes were consumed by getpass before the user could type anything.
Fix: add flush_stdin() helper using termios.tcflush(TCIFLUSH) and call it
after every curses.wrapper() and simple_term_menu .show() return across all
interactive menu sites:
- hermes_cli/curses_ui.py (curses_checklist)
- hermes_cli/setup.py (_curses_prompt_choice)
- hermes_cli/tools_config.py (_prompt_choice)
- hermes_cli/auth.py (_prompt_model_selection)
- hermes_cli/main.py (3 simple_term_menu usages)
Simplified implementation of the feature from PR #6842 (RunzhouLi).
Allows Discord channels/forum threads to auto-bind skills via config:
discord:
channel_skill_bindings:
- id: "123456"
skills: ["skill-a", "skill-b"]
The run.py auto-skill loader now handles both str and list[str],
loading multiple skills in order and concatenating their payloads.
Forum threads inherit their parent channel's bindings.
Co-authored-by: RunzhouLi <RunzhouLi@users.noreply.github.com>
Add debug logging when eyes reaction redaction fails, and add tests
for the success=False path and the no-pending-reaction edge case.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
_send_reaction now returns Optional[str] (event_id) instead of bool.
Tests updated:
- test_send_reaction: assert result == event_id string
- test_send_reaction_no_client: assert result is None
- test_on_processing_start_sends_eyes: _send_reaction returns event_id,
now also asserts _pending_reactions is populated
- test_on_processing_complete_sends_check: set up _pending_reactions and
mock _redact_reaction, assert eyes reaction is redacted before sending check
The on_processing_complete handler was never removing the eyes reaction because
_send_reaction didn't return the reaction event_id.
Fix:
- _send_reaction returns Optional[str] event_id
- on_processing_start stores it in _pending_reactions dict
- on_processing_complete redacts the eyes reaction before adding completion emoji
When extra.base_url is set in the Telegram platform config, use it as
the base URL for all Telegram API requests instead of api.telegram.org.
This allows agents to route Telegram traffic through the credential
proxy, which injects the real bot token — the VM never sees it.
Also supports extra.base_file_url for file downloads (defaults to
base_url if not set separately).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Four gaps in DANGEROUS_PATTERNS found by running 10 targeted tests that
each mapped to a specific pattern in approval.py and checked whether the
documented defense actually held.
1. **Heredoc script injection** — `python3 << 'EOF'` bypasses the
existing `-e`/`-c` flag pattern. Adds pattern for interpreter + `<<`
covering python{2,3}, perl, ruby, node.
2. **PID expansion self-termination** — `kill -9 $(pgrep hermes)` is
opaque to the existing `pkill|killall` + name pattern because command
substitution is not expanded at detection time. Adds structural
patterns matching `kill` + `$(pgrep` and backtick variants.
3. **Git destructive operations** — `git reset --hard`, `push --force`,
`push -f`, `clean -f*`, and `branch -D` were entirely absent.
Note: `branch -d` also triggers because IGNORECASE is global —
acceptable since -d is still a delete, just a safe one, and the
prompt is only a confirmation, not a hard block.
4. **chmod +x then execute** — two-step social engineering where a
script containing dangerous commands is first written to disk (not
checked by write_file), then made executable and run as `./script`.
Pattern catches `chmod +x ... [;&|]+ ./` combos. Does not solve the
deeper architectural issue (write_file not checking content) — that
is called out in the PR description as a known limitation.
Tests: 23 new cases across 4 test classes, all in test_approval.py:
- TestHeredocScriptExecution (7 cases, incl. regressions for -c)
- TestPgrepKillExpansion (5 cases, incl. safe kill PID negative)
- TestGitDestructiveOps (8 cases, incl. safe git status/push negatives)
- TestChmodExecuteCombo (3 cases, incl. safe chmod-only negative)
Full suite: 146 passed, 0 failed.
_resolve_api_key_provider() now checks is_provider_explicitly_configured
before calling _try_anthropic(). Previously, any auxiliary fallback
(e.g. when kimi-coding key was invalid) would silently discover and use
Claude Code OAuth tokens — consuming the user's Claude Max subscription
without their knowledge.
This is the auxiliary-client counterpart of the setup-wizard gate in
PR #4210.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Previously, removing a claude_code credential from the anthropic pool
only printed a note — the next load_pool() re-seeded it from
~/.claude/.credentials.json. Now writes a 'suppressed_sources' flag
to auth.json that _seed_from_singletons checks before seeding.
Follows the pattern of env: source removal (clears .env var) and
device_code removal (clears auth store state).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
_seed_from_singletons('anthropic') now checks
is_provider_explicitly_configured('anthropic') before reading
~/.claude/.credentials.json. Without this, the auxiliary client
fallback chain silently discovers and uses Claude Code tokens when
the user's primary provider key is invalid — consuming their Claude
Max subscription quota without consent.
Follows the same gating pattern as PR #4210 (setup wizard gate)
but applied to the credential pool seeding path.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Gate function for checking whether a user has explicitly selected a
provider via hermes model/setup, auth.json active_provider, or env
vars. Used in subsequent commits to prevent unauthorized credential
auto-discovery. Follows the pattern from PR #4210.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Follow-up to Dusk1e's PR #7120 (Slack send_image redirect guard):
- Rename _safe_url_for_log -> safe_url_for_log (drop underscore) since
it is now imported cross-module by the Slack adapter
- Add _ssrf_redirect_guard httpx event hook to cache_image_from_url()
and cache_audio_from_url() in base.py — same pattern as vision_tools
and the Slack adapter fix
- Update url_safety.py docstring to reflect broader coverage
- Add regression tests for image/audio redirect blocking + safe passthrough
The API server's _run_agent() was not passing task_id to
run_conversation(), causing a fresh random UUID per request. This meant
every Open WebUI message spun up a new Docker container and tore it down
afterward — making persistent filesystem state impossible.
Two fixes:
1. Pass task_id="default" so all API server conversations share the same
Docker container (matching the design intent: one configured Docker
environment, always the same container).
2. Derive a stable session_id from the system prompt + first user message
hash instead of uuid4(). This stops hermes sessions list from being
polluted with single-message throwaway sessions.
Fixes#3438.
Slack may return an HTML sign-in/redirect page instead of actual media
bytes (e.g. expired token, restricted file access). This adds two layers
of defense:
1. Content-Type check in slack.py rejects text/html responses early
2. Magic-byte validation in base.py's cache_image_from_bytes() rejects
non-image data regardless of source platform
Also adds ValueError guards in wecom.py and email.py so the new
validation doesn't crash those adapters.
Closes#6829
When kill_process() sends SIGTERM, both it and the reader thread race
to call _move_to_finished() — kill_process sets exit_code=-15 and
enqueues a notification, then the reader thread's process.wait()
returns with exit_code=143 (128+SIGTERM) and enqueues a second one.
Fix: make _move_to_finished() idempotent by tracking whether the
session was actually removed from _running. The second call sees it
was already moved and skips the completion_queue.put().
Adds regression test: test_move_to_finished_idempotent_no_duplicate
- test_background_autocompletes: pytest.importorskip("prompt_toolkit")
so the test skips gracefully where the CLI dep is absent
- test_run_agent_progress_stays_in_originating_topic: update stale emoji
💻 → ⚙️ to match get_tool_emoji("terminal", default="⚙️") in run.py
- test_internal_event_bypass{_authorization,_pairing}: mock
_handle_message_with_agent to raise immediately; avoids the 300s
run_in_executor hang that caused the tests to time out
Platforms that don't return a message_id after the first send (Signal,
GitHub webhooks) were causing GatewayStreamConsumer to re-enter the
"first send" path on every tool boundary, posting one platform message
per tool call (observed as 155 PR comments on a single response).
Fix: treat _message_id == "__no_edit__" as a sentinel meaning "platform
accepted the send but cannot be edited". When a tool boundary arrives
in that state, skip the message_id/accumulated/last_sent_text reset so
all continuation text is delivered once via _send_fallback_final rather
than re-posted per segment.
Also make prompt_toolkit imports in hermes_cli/commands.py optional so
gateway and test environments that lack the package can still import
resolve_command, gateway_help_lines, and COMMAND_REGISTRY.
- configure Telegram HTTPXRequest pool/timeouts with env-overridable defaults\n- use separate request/get_updates request objects to reduce pool contention\n- skip fallback-IP transport when proxy is configured (or explicitly disabled)\n\nThis mitigates recurrent pool-timeout failures during polling reconnect/bootstrap (delete_webhook).
Python assertions are stripped when running with `python -O` (optimized
mode), making them unsuitable for runtime error handling.
1. `telegram_network.py:113` — After exhausting all fallback IPs, the code
uses `assert last_error is not None` before `raise last_error`. In
optimized mode, the assert is skipped; if `last_error` is unexpectedly
None, `raise None` produces a confusing `TypeError` instead of a
meaningful error. Replace with an explicit `if` check that raises
`RuntimeError` with a descriptive message.
2. `feishu.py:975` — The `_configure_with_overrides` closure uses
`assert original_configure is not None` as a guard. While the outer
scope only installs this closure when `original_configure` is not None,
the assert would silently disappear in optimized mode. Replace with an
explicit `if` check for defensive safety.
Adds a regression test verifying that /background bypasses the
active-session guard in the platform adapter, matching the existing
test pattern for /stop, /new, /approve, /deny, and /status.
When /background was sent during an active run, it was not in the
platform adapter's bypass list and fell through to the interrupt path
instead of spawning a parallel background task.
Add "background" to the active-session command bypass in the platform
adapter, and add an early return in the gateway runner's running-agent
guard to route /background to _handle_background_command() before it
reaches the default interrupt logic.
Fixes#6827
The resume_session and load_session handlers were implemented but undiscoverable by ACP clients because the capabilities weren't declared in the initialize response. Adds load_session=True and resume=SessionResumeCapabilities() plus wire-format tests. Fixes#6633. Contributed by @luyao618.
launchd_stop() previously used `launchctl kill SIGTERM` which only
signals the process. Because the plist has KeepAlive.SuccessfulExit=false,
launchd immediately respawns the gateway — making `hermes gateway stop`
a no-op that prints '✓ Service stopped' while the service keeps running.
Switch to `launchctl bootout` which unloads the service definition so
KeepAlive can't trigger. The process exits and stays stopped until
`hermes gateway start` (which already handles re-bootstrapping unloaded
jobs via error codes 3/113).
Also adds _wait_for_gateway_exit() after bootout to ensure the process
is fully gone before returning, and tolerates 'already unloaded' errors.
Fixes: .env changes not taking effect after gateway stop+restart on macOS.
The root cause was that stop didn't actually stop — the respawned process
loaded the old env before the user's restart command ran.
Automated dead code audit using vulture + coverage.py + ast-grep intersection,
confirmed by Opus deep verification pass. Every symbol verified to have zero
production callers (test imports excluded from reachability analysis).
Removes ~1,534 lines of dead production code across 46 files and ~1,382 lines
of stale test code. 3 entire files deleted (agent/builtin_memory_provider.py,
hermes_cli/checklist.py, tests/hermes_cli/test_setup_model_selection.py).
Co-authored-by: alt-glitch <balyan.sid@gmail.com>
When an MCP server returns both content (model-oriented text) and
structuredContent (machine-oriented JSON), the client now combines
them instead of discarding content. The text content becomes the
primary result (what the agent reads), and structuredContent is
included as supplementary metadata.
Previously, structuredContent took full precedence — causing data
loss for servers like Desktop Commander that put the actual file
text in content and metadata in structuredContent.
MCP spec guidance: for conversational/agent UX, prefer content.
The _call_anthropic() streaming path never updated last_chunk_time during
the event loop — only once at stream start. The stale stream detector in
the outer poll loop uses this timer, so any Anthropic stream longer than
180s was killed even when events were actively arriving. This self-inflicted
a RemoteProtocolError that users saw as:
'⚠️ Connection to provider dropped (RemoteProtocolError). Reconnecting…'
The _call_chat_completions() path already updates last_chunk_time on every
chunk (line 4475). This brings _call_anthropic() to parity.
Also adds deltas_were_sent tracking to the Anthropic text_delta path so
the retry loop knows not to retry after partial delivery (prevents
duplicated output on connection drops mid-stream).
Reported-by: Discord users (Castellani, Codename_11)
When installing a system service via sudo, ExecStart, WorkingDirectory,
VIRTUAL_ENV, and PATH entries were not remapped to the target user's
home — only HERMES_HOME was. This caused the service to fail with
status=200/CHDIR because the target user cannot access /root/.
Adds _remap_path_for_user() helper and applies it to all path variables
in the system branch of generate_systemd_unit().
Closes#6989
Legacy flat stt.model config key (from cli-config.yaml.example and older
versions) was passed as a model override to transcribe_audio() by the
gateway, bypassing provider-specific model resolution. When the provider
was 'local' (faster-whisper), this caused:
ValueError: Invalid model size 'whisper-1'
Changes:
- gateway/run.py, discord.py: stop passing model override — let
transcribe_audio() handle provider-specific model resolution internally
- get_stt_model_from_config(): now provider-aware, reads from the correct
nested section (stt.local.model, stt.openai.model, etc.); ignores
legacy flat key for local provider to prevent model name mismatch
- cli-config.yaml.example: updated STT section to show nested provider
config structure instead of legacy flat key
- config migration v13→v14: moves legacy stt.model to the correct
provider section and removes the flat key
Reported by community user on Discord.
Follow-up to cherry-picked PR #6592:
- Extract _webhook_url property to deduplicate URL construction
- Add _find_registered_webhooks() helper for reuse
- Crash resilience: check for existing registration before POSTing
(handles restart after unclean shutdown without creating duplicates)
- Accept 200-299 status range (not just 200) for webhook creation
- Unregister removes ALL matching registrations (cleans up orphaned dupes)
- Add 17 tests covering register/unregister/find/edge cases
**Problem:**
The BlueBubbles iMessage gateway was not receiving incoming messages even though:
1. BlueBubbles Server was properly configured and running
2. Hermes gateway started without errors
3. Webhook listener was started on the configured port
The root cause was that the BlueBubbles adapter only started a local webhook
listener but never registered the webhook URL with the BlueBubbles server via
the API. Without registration, the server doesn't know where to send events.
**Fix:**
1. Added _register_webhook() method that POSTs to /api/v1/webhook with the
listener URL and event types (new-message, updated-message, message)
2. Added _unregister_webhook() method for clean shutdown
3. Both methods handle the case where webhook listens on 0.0.0.0/127.0.0.1
by using 'localhost' as the external hostname
4. Fixed documentation: 'hermes gateway logs' → 'hermes logs gateway'
**API Reference:**
https://docs.bluebubbles.app/server/developer-guides/rest-api-and-webhooks
**Testing:**
- Webhook registration is now automatic when gateway starts
- Failed registration logs a warning but doesn't prevent startup
- Clean shutdown unregisters the webhook
Closes: iMessage gateway not working issue
Add Discord thread support to cron delivery and send_message_tool.
- _parse_target_ref: handle discord platform with chat_id:thread_id format
- _send_discord: add thread_id param, route to /channels/{thread_id}/messages
- _send_to_platform: pass thread_id through for Discord
- Discord adapter send(): read thread_id from metadata for gateway path
- Update tool schema description to document Discord thread targets
Cherry-picked from PR #7046 by pandacooming (maxyangcn).
Follow-up fixes:
- Restore proxy support (resolve_proxy_url/proxy_kwargs_for_aiohttp) that was
accidentally deleted — would have caused NameError at runtime
- Remove duplicate _DISCORD_TARGET_RE regex; reuse existing _TELEGRAM_TOPIC_TARGET_RE
via _NUMERIC_TOPIC_RE alias (identical pattern)
- Fix misleading test comments about Discord negative snowflake IDs
(Discord uses positive snowflakes; negative IDs are a Telegram convention)
- Rewrite misleading scheduler test that claimed to exercise home channel
fallback but actually tested the explicit platform:chat_id parsing path
The delivery tuple in webhook.py only had 5 of 14 platforms with
gateway adapters. Adds whatsapp, matrix, mattermost, homeassistant,
email, dingtalk, feishu, wecom, and bluebubbles so webhooks can
deliver to any connected platform.
Updates docs delivery options table to list all platforms.
Follow-up to cherry-picked fix from olafthiele (PR #7035).
- Add custom_provider_slug() to hermes_cli/providers.py as the single
source of truth for building 'custom:<name>' slugs.
- Use it in resolve_custom_provider() and list_authenticated_providers()
instead of duplicated inline slug construction.
- Add _session_model_overrides and _voice_mode to gateway test runner
for object.__new__() safety.
Custom providers defined in config.yaml under were
completely invisible to the /model command in both gateway (Telegram,
Discord, etc.) and CLI. The provider listing skipped them and explicit
switching via --provider failed with "Unknown provider".
Root cause: gateway/run.py, cli.py, and model_switch.py only read the
dict from config, ignoring entirely.
Changes:
- providers.py: add resolve_custom_provider() and extend
resolve_provider_full() to check custom_providers after user_providers
- model_switch.py: propagate custom_providers through switch_model(),
list_authenticated_providers(), and get_authenticated_provider_slugs();
add custom provider section to provider listings
- gateway/run.py: read custom_providers from config, pass to all
model-switch calls
- cli.py: hoist config loading, pass custom_providers to listing and
switch calls
Tests: 4 new regression tests covering listing, resolution, and gateway
command handler. All 71 tests pass.
The same .* pattern vulnerable to newline bypass that was fixed in
prompt_builder.py (PR #6925) also existed in skills_guard.py. Changed
to [\s\S]*? to match across newlines.
prompt_builder.py: The `hidden_div` detection pattern uses `.*` which does not
match newlines in Python regex (re.DOTALL is not passed). An attacker can bypass
detection by splitting the style attribute across lines:
`<div style="color:red;\ndisplay: none">injected content</div>`
Replace `.*` with `[\s\S]*?` to match across line boundaries.
credential_files.py: `_load_config_files()` catches all exceptions at DEBUG level
(line 171), making YAML parse failures invisible in production logs. Users whose
credential files silently fail to mount into sandboxes have no diagnostic clue.
Promote to WARNING to match the severity pattern used by the path validation
warnings at lines 150 and 158 in the same function.
webhook.py: `_reload_dynamic_routes()` logs JSON parse failures at WARNING (line
265) but the impact — stale/corrupted dynamic routes persisting silently — warrants
ERROR level to ensure operator visibility in alerting pipelines.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Three silent `except Exception` blocks in approval.py (lines 345, 387, 469) return
fallback values with zero logging — making it impossible to debug callback failures,
allowlist load errors, or config read issues. Add logger.warning/error calls that
match the pattern already used by save_permanent_allowlist() and _smart_approve()
in the same file.
In mcp_oauth.py, narrow the overly-broad `except Exception` in get_tokens() and
get_client_info() to the specific exceptions Pydantic's model_validate() can raise
(ValueError, TypeError, KeyError), and include the exception message in the warning.
Also wrap the _wait_for_callback() polling loop in try/finally so the HTTPServer is
always closed — previously an asyncio.CancelledError or any exception in the loop
would leak the server socket.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
error_classifier.py: Message-only auth errors ("invalid api key", "unauthorized",
etc.) were classified as retryable=True (line 707), inconsistent with the HTTP 401
path (line 432) which correctly uses retryable=False + should_fallback=True. The
mismatch causes 3 wasted retries with the same broken credential before fallback,
while 401 errors immediately attempt fallback. Align the message-based path to
match: retryable=False, should_fallback=True.
web_tools.py: The _PREFIX_RE secret-detection check in web_extract_tool() runs
against the raw URL string (line 1196). URL-encoded secrets like %73k-1234... (
sk-1234...) bypass the filter because the regex expects literal ASCII. Add
urllib.parse.unquote() before the check so percent-encoded variants are also caught.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
dingtalk.py: The session_webhook URL from incoming DingTalk messages is POSTed to
without any origin validation (line 290), enabling SSRF attacks via crafted webhook
URLs (e.g. http://169.254.169.254/ to reach cloud metadata). Add a regex check
that only accepts the official DingTalk API origin (https://api.dingtalk.com/).
Also cap _session_webhooks dict at 500 entries with FIFO eviction to prevent
unbounded memory growth from long-running gateway instances.
api_server.py: The X-Hermes-Session-Id request header is accepted and echoed back
into response headers (lines 675, 697) without sanitization. A session ID
containing \r\n enables HTTP response splitting / header injection. Add a check
that rejects session IDs containing control characters (\r, \n, \x00).
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
xAI /v1/models does not return context_length metadata, so Hermes
probes down to the 128k default whenever a user configures a custom
provider pointing at https://api.x.ai/v1. This forces every xAI user
to manually override model.context_length in config.yaml (2M for
Grok 4.20 / 4.1-fast / 4-fast) or lose most of the usable context
window.
Add DEFAULT_CONTEXT_LENGTHS entries for the Grok family so the
fallback lookup returns the correct value via substring matching.
Values sourced from models.dev (2026-04) and cross-checked against
the xAI /v1/models listing:
- grok-4.20-* 2,000,000 (reasoning, non-reasoning, multi-agent)
- grok-4-1-fast-* 2,000,000
- grok-4-fast-* 2,000,000
- grok-4 / grok-4-0709 256,000
- grok-code-fast-1 256,000
- grok-3* 131,072
- grok-2 / latest 131,072
- grok-2-vision* 8,192
- grok (catch-all) 131,072
Keys are ordered longest-first so that specific variants match before
the catch-all, consistent with the existing Claude/Gemma/MiniMax entries.
Add TestDefaultContextLengths.test_grok_models_context_lengths and
test_grok_substring_matching to pin the values and verify the full
lookup path. All 77 tests in test_model_metadata.py pass.
Add DISCORD_ALLOWED_CHANNELS (env var) / discord.allowed_channels (config.yaml)
support to restrict the bot to only respond in specified channels.
When set, messages from any channel NOT in the allowed list are silently
ignored — even if the bot is @mentioned. This provides a secure default-
deny posture vs the existing ignored_channels which is default-allow.
This is especially useful when bots in other channels may create new
channels dynamically (e.g., project bots) — a blacklist requires constant
maintenance while a whitelist is set-and-forget.
Follows the same config pattern as ignored_channels and free_response_channels:
- Env var: DISCORD_ALLOWED_CHANNELS (comma-separated channel IDs)
- Config: discord.allowed_channels (string or list of channel IDs)
- Env var takes precedence over config.yaml
- Empty/unset = no restriction (backward compatible)
Files changed:
- gateway/platforms/discord.py: check allowed_channels before ignored_channels
- gateway/config.py: map discord.allowed_channels → DISCORD_ALLOWED_CHANNELS
- hermes_cli/config.py: add allowed_channels to DEFAULT_CONFIG
The session store was copying the ENTIRE parent DM transcript into new
thread sessions. This caused unrelated conversations to bleed across
threads in Slack DMs.
The Slack adapter already handles thread context correctly via
_fetch_thread_context() (conversations.replies API), which fetches
only the actual thread messages. The session-level seeding was both
redundant and harmful.
No other platform (Telegram, Discord) uses DM threads, so the seeding
code path was only triggered by Slack — where it conflicted with the
adapter-level context.
Tests updated to assert thread isolation: all thread sessions start
empty, platform adapters are responsible for injecting thread context.
Salvage of PR #5868 (jarvisxyz). Reported by norbert on Discord.
- Modal snapshot tests: accept **kw in iter_skills_files/iter_cache_files
mock lambdas to match new container_base kwarg
- SSH preflight test: mock _detect_remote_home, _ensure_remote_dirs,
init_session, and FileSyncManager added in file sync PR
Replace per-backend ad-hoc file sync with a shared FileSyncManager
that handles mtime-based change detection, remote deletion of
locally-removed files, and transactional state updates.
- New FileSyncManager class (tools/environments/file_sync.py)
with callbacks for upload/delete, rate limiting, and rollback
- Shared iter_sync_files() eliminates 3 duplicate implementations
- SSH: replace unconditional rsync with scp + mtime skip
- Modal/Daytona: replace inline _synced_files dict with manager
- All 3 backends now sync credentials + skills + cache uniformly
- Remote deletion: files removed locally are cleaned from remote
- HERMES_FORCE_FILE_SYNC=1 env var for debugging
- Base class _before_execute() simplified to empty hook
- 12 unit tests covering mtime skip, deletion, rollback, rate limiting
Operators running a web server (nginx, caddy) that needs to traverse ~/.hermes/ can now set HERMES_HOME_MODE=0701 (or any octal mode) instead of having _secure_dir() revert their manual chmod on every gateway restart. Default behavior (0o700) is unchanged. Fixes#6991. Contributed by @ygd58.
run_conversation() never returns a result["usage"] nested dict —
token counters are always at the top level. The nested path used
the wrong key name ("cached_tokens" vs "cache_read_tokens") and
was never reachable. Remove it.
The GitHub Copilot API now requires a Copilot-Integration-Id header
on all requests. Without it, every API call fails with HTTP 400:
"missing required Copilot-Integration-Id header".
Uses vscode-chat as the integration ID, matching opencode which
shares the same OAuth client ID (Ov23li8tweQw6odWQebz).
Fixes: Copilot provider fails with "missing required Copilot-Integration-Id header" (HTTP 400)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Change behavior from silent clamping to returning an error when the
model requests a foreground timeout exceeding FOREGROUND_MAX_TIMEOUT.
This forces the model to use background=true for long-running commands
rather than silently changing its intent.
- Config default timeouts above the cap are NOT rejected (user's choice)
- Only explicit model-requested timeouts trigger rejection
- Added boundary test for timeout exactly at the limit
When the model calls terminal() in foreground mode without background=true
(e.g. to start a server), the tool call blocks until the command exits or
the timeout expires. Without an upper bound the model can request arbitrarily
high timeouts (the schema had minimum=1 but no maximum), blocking the entire
agent session for hours until the gateway idle watchdog kills it.
Changes:
- Add FOREGROUND_MAX_TIMEOUT (600s, configurable via
TERMINAL_MAX_FOREGROUND_TIMEOUT env var) that caps foreground timeout
- Clamp effective_timeout to the cap when background=false and timeout
exceeds the limit
- Include a timeout_note in the tool result when clamped, nudging the
model to use background=true for long-running processes
- Update schema description to show the max timeout value
- Remove dead clamping code in the background branch that could never
fire (max_timeout was set to effective_timeout, so timeout > max_timeout
was always false)
- Add 7 tests covering clamping, no-clamping, config-default-exceeds-cap
edge case, background bypass, default timeout, constant value, and
schema content
Self-review fixes:
- Fixed bug where timeout_note said 'Requested timeout Nones' when
clamping fired from config default exceeding cap (timeout param is
None). Now uses unclamped_timeout instead of the raw timeout param.
- Removed unused pytest import from test file
- Extracted test config dict into _make_env_config() helper
- Fixed tautological test_default_value assertion
- Added missing test for config default > cap with no model timeout
The gateway /model command stored session overrides in
_session_model_overrides but run_sync() never consulted them when
resolving the model and runtime for the next message. It always read
from config.yaml, so the switch was lost as soon as a new agent was
created.
Two fixes:
1. In run_sync(), apply _session_model_overrides after resolving from
config.yaml/env — the override takes precedence for model, provider,
api_key, base_url, and api_mode.
2. In post-run fallback detection, check whether the model mismatch
(agent.model != config_model) is due to an intentional /model switch
before evicting the cached agent. Without this, the first message
after /model would work (cached agent reused) but the fallback
detector would evict it, causing the next message to revert.
Affects all gateway platforms (Telegram, Discord, Slack, WhatsApp,
Signal, Matrix, BlueBubbles, HomeAssistant) since they all share
GatewayRunner._run_agent().
Fixes#6213
Two security hardening changes for the API server:
1. **Startup warning when no API key is configured.**
When `API_SERVER_KEY` is not set, all endpoints accept unauthenticated
requests. This is the default configuration, but operators may not
realize the security implications. A prominent warning at startup
makes the risk visible.
2. **Require authentication for session continuation.**
The `X-Hermes-Session-Id` header allows callers to load and continue
any session stored in state.db. Without authentication, an attacker
who can reach the API server (e.g. via CORS from a malicious page,
or on a shared host) could enumerate session IDs and read conversation
history — which may contain API keys, passwords, code, or other
sensitive data shared with the agent.
Session continuation now returns 403 when no API key is configured,
with a clear error message explaining how to enable the feature.
When a key IS configured, the existing Bearer token check already
gates access.
This is defense-in-depth: the API server is intended for local use,
but defense against cross-origin and shared-host attacks is important
since the default binding is 127.0.0.1 which is reachable from
browsers via DNS rebinding or localhost CORS.
- Add HERMES_CRON_TIMEOUT and HERMES_CRON_SCRIPT_TIMEOUT to env vars reference
- Add script timeout and provider recovery sections to cron features page
- Add timeout resolution chain and credential pool details to cron internals
Auth errors matched by message pattern were incorrectly marked retryable=True, causing futile retry loops. Aligns with _classify_by_status() which already sets retryable=False for 401/403. Fixes#7026. Contributed by @kuishou68.
The hardcoded User-Agent 'KimiCLI/1.3' is outdated — Kimi CLI is now at
v1.30.0. The stale version string causes intermittent 403 errors from
Kimi's coding endpoint ('only available for Coding Agents').
Update all 8 occurrences across run_agent.py, auxiliary_client.py, and
doctor.py to 'KimiCLI/1.30.0' to match the current official Kimi CLI.
The gateway /usage handler only looked in _running_agents for the agent
object, which is only populated while the agent is actively processing a
message. Between turns (when users actually type /usage), the dict is
empty and the handler fell through to a rough message-count estimate.
The agent object actually lives in _agent_cache between turns (kept for
prompt caching). This fix checks both dicts, with _running_agents taking
priority (mid-turn) and _agent_cache as the between-turns fallback.
Also brings the gateway output to parity with the CLI /usage:
- Model name
- Detailed token breakdown (input, output, cache read, cache write)
- Cost estimation (estimated amount or 'included' for subscriptions)
- Cache token lines hidden when zero (cleaner output)
This fixes Nous Portal rate limit headers not showing up for gateway
users — the data was being captured correctly but the handler could
never see it.
Extends the /fast command to support Anthropic's Fast Mode beta in addition
to OpenAI Priority Processing. When enabled on Claude Opus 4.6, adds
speed:"fast" and the fast-mode-2026-02-01 beta header to API requests for
~2.5x faster output token throughput.
Changes:
- hermes_cli/models.py: Add _ANTHROPIC_FAST_MODE_MODELS registry,
model_supports_fast_mode() now recognizes Claude Opus 4.6,
resolve_fast_mode_overrides() returns {speed: fast} for Anthropic
vs {service_tier: priority} for OpenAI
- agent/anthropic_adapter.py: Add _FAST_MODE_BETA constant,
build_anthropic_kwargs() accepts fast_mode=True which injects
speed:fast + beta header via extra_headers (skipped for third-party
Anthropic-compatible endpoints like MiniMax)
- run_agent.py: Pass fast_mode to build_anthropic_kwargs in the
anthropic_messages path of _build_api_kwargs()
- cli.py: Update _handle_fast_command with provider-aware messaging
(shows 'Anthropic Fast Mode' vs 'Priority Processing')
- hermes_cli/commands.py: Update /fast description to mention both
providers
- tests: 13 new tests covering Anthropic model detection, override
resolution, CLI availability, routing, adapter kwargs, and
third-party endpoint safety
When `hermes update` stashes local changes and the restore hits merge
conflicts, the old code prompted the user to reset or keep conflict
markers. If the user declined the reset, git conflict markers
(<<<<<<< Updated upstream) were left in source files, making hermes
completely unrunnable with a SyntaxError on the next invocation.
Additionally, the interactive path called sys.exit(1), which killed
the entire update process before pip dependency install, skill sync,
and gateway restart could finish — even though the code pull itself
had succeeded.
Changes:
- Always auto-reset to clean state when stash restore conflicts
- Remove the "Reset working tree?" prompt (footgun)
- Remove sys.exit(1) — return False so cmd_update continues normally
- User's changes remain safely in the stash for manual recovery
Also fixes a secondary bug where the conflict handling prompt used
bare input() instead of the input_fn parameter, which would hang
in gateway mode.
Tests updated: replaced prompt/sys.exit assertions with auto-reset
behavior checks; removed the "user declines reset" test (path no
longer exists).
After mid-loop compression (triggered by 413, context_overflow, or Anthropic
long-context tier errors), _compress_context() creates a new session in SQLite
and resets _last_flushed_db_idx=0. However, conversation_history was not cleared,
so _flush_messages_to_session_db() computed:
flush_from = max(len(conversation_history=200), _last_flushed_db_idx=0) = 200
messages[200:] → empty (compressed messages < 200)
This resulted in zero messages being written to the new session's SQLite store.
On resume, the user would see 'Session found but has no messages.'
The preflight compression path (line 7311) already had the fix:
conversation_history = None
This commit adds the same clearing to the three mid-loop compression sites:
- Anthropic long-context tier overflow
- HTTP 413 payload too large
- Generic context_overflow error
Reported by Aaryan (Nous community).
The text batching feature routes TEXT messages through
asyncio.create_task() + asyncio.sleep(delay). Even with delay=0,
the task fires asynchronously and won't complete before synchronous
test assertions. This broke 33 tests across Discord, Matrix, and
WeCom adapters.
When _text_batch_delay_seconds is 0 (the test fixture setting),
dispatch directly to handle_message() instead of going through
the async batching path. This preserves the pre-batching behavior
for tests while keeping batching active in production (default
delay 0.6s).
Add streaming timeout documentation to three pages:
- guides/local-llm-on-mac.md: New 'Timeouts' section with table of all
three timeouts, their defaults, local auto-adjustments, and env var
overrides
- reference/faq.md: Tip box in the local models FAQ section
- user-guide/configuration.md: 'Streaming Timeouts' subsection under
the agent config section
Follow-up to #6967.
Set _text_batch_delay_seconds = 0 on test adapter fixtures so messages
dispatch immediately (bypassing async batching). This preserves the
existing synchronous assertion patterns while the batching logic is
tested separately in test_text_batching.py.
22 tests covering:
- Single message dispatch after delay
- Split message aggregation (2-way and 3-way)
- Different chats/rooms not merged
- Adaptive delay for near-limit chunks
- State cleanup after flush
- Split continuation merging
All 5 platform adapters tested.
Feishu already had text batching with a static 0.6s delay. This adds
adaptive delay: waits 2.0s when a chunk is near the ~4096-char split
point since a continuation is almost certain.
Tracks _last_chunk_len on each queued event to determine the delay.
Configurable via HERMES_FEISHU_TEXT_BATCH_SPLIT_DELAY_SECONDS (default 2.0).
Ref #6892
Ports the adaptive batching pattern from the Telegram adapter.
WeCom clients split messages around 4000 chars. Adaptive delay waits
2.0s when a chunk is near the limit, 0.6s otherwise. Only text messages
are batched; commands/media dispatch immediately.
Ref #6892
Ports the adaptive batching pattern from the Telegram adapter.
Matrix clients split messages around 4000 chars. Adaptive delay waits
2.0s when a chunk is near the limit, 0.6s otherwise. Only text messages
are batched; commands dispatch immediately.
Ref #6892
Cherry-picked from PR #6894 by SHL0MS with fixes:
- Only batch TEXT messages; commands/media dispatch immediately
- Use build_session_key() for proper session-scoped batch keys
- Consistent naming (_text_batch_delay_seconds)
- Proper Dict[str, MessageEvent] typing
Discord splits at 2000 chars (lowest of all platforms). Adaptive delay
waits 2.0s when a chunk is near the limit, 0.6s otherwise.
Cherry-picked from PR #6891 by SHL0MS.
When a chunk is near the 4096-char split point, wait 2.0s instead of 0.6s
since a continuation is almost certain.
Raise the default httpx stream read timeout from 60s to 120s for all
providers. Additionally, auto-detect local LLM endpoints (Ollama,
llama.cpp, vLLM) and raise the read timeout to HERMES_API_TIMEOUT
(1800s) since local models can take minutes for prefill on large
contexts before producing the first token.
The stale stream timeout already had this local auto-detection pattern;
the httpx read timeout was missing it — causing a hard 60s wall that
users couldn't find (HERMES_STREAM_READ_TIMEOUT was undocumented).
Changes:
- Default HERMES_STREAM_READ_TIMEOUT: 60s -> 120s
- Auto-detect local endpoints -> raise to 1800s (user override respected)
- Document HERMES_STREAM_READ_TIMEOUT and HERMES_STREAM_STALE_TIMEOUT
- Add 10 parametrized tests
Reported-by: Pavan Srinivas (@pavanandums)
When the model mentions <think> as literal text in its response (e.g.
"(/think not producing <think> tags)"), the streaming display treated it
as a reasoning block opener and suppressed everything after it. The
response box would close with truncated content and no error — the API
response was complete but the display ate it.
Root cause: _stream_delta() matched <think> anywhere in the text stream
regardless of position. Real reasoning blocks always start at the
beginning of a line; mentions in prose appear mid-sentence.
Fix: track line position across streaming deltas with a
_stream_last_was_newline flag. Only enter reasoning suppression when
the tag appears at a block boundary (start of stream, after a newline,
or after only whitespace on the current line). Add a _flush_stream()
safety net that recovers buffered content if no closing tag is found
by end-of-stream.
Also fixes three related issues discovered during investigation:
- anthropic_adapter: _get_anthropic_max_output() now normalizes dots to
hyphens so 'claude-opus-4.6' matches the 'claude-opus-4-6' table key
(was returning 32K instead of 128K)
- run_agent: send explicit max_tokens for Claude models on Nous Portal,
same as OpenRouter — both proxy to Anthropic's API which requires it.
Without it the backend defaults to a low limit that truncates responses.
- run_agent: reset truncated_tool_call_retries after successful tool
execution so a single truncation doesn't poison the entire conversation.
Previously /fast only supported gpt-5.4 and forced a provider switch to
openai-codex. Now supports all 13 models from OpenAI's Priority Processing
pricing table (gpt-5.4, gpt-5.4-mini, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini,
gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, o3, o4-mini).
Key changes:
- Replaced _FAST_MODE_BACKEND_CONFIG with _PRIORITY_PROCESSING_MODELS frozenset
- Removed provider-forcing logic — service_tier is now injected into whatever
API path the user is already on (Codex Responses, Chat Completions, or
OpenRouter passthrough)
- Added request_overrides support to chat_completions path in run_agent.py
- Updated messaging from 'Codex inference tier' to 'Priority Processing'
- Expanded test coverage for all supported models
Add /fast slash command to toggle OpenAI Codex service_tier between
normal and priority ('fast') inference. Only exposed for models
registered in _FAST_MODE_BACKEND_CONFIG (currently gpt-5.4).
- Registry-based backend config for extensibility
- Dynamic command visibility (hidden from help/autocomplete for
non-supported models) via command_filter on SlashCommandCompleter
- service_tier flows through request_overrides from route resolution
- Omit max_output_tokens for Codex backend (rejects it)
- Persists to config.yaml under agent.service_tier
Salvage cleanup: removed simple_term_menu/input() menu (banned),
bare /fast now shows status like /reasoning. Removed redundant
override resolution in _build_api_kwargs — single source of truth
via request_overrides from route.
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
The Codex retry block and valid-token short-circuit in _refresh_entry()
both return early, bypassing the auth.json sync at the end of the method.
This adds _sync_device_code_entry_to_auth_store() calls on both paths
so refreshed/synced tokens are written back to auth.json regardless of
which code path succeeds.
Adds opt-in creative thinking frameworks to ascii-video, p5js, and
manim-video skills, based on Lluminate (joelsimon.net/lluminate).
Only engaged when the user explicitly asks for creative, experimental,
or unconventional output. Straightforward requests are unaffected.
Each skill gets 2-3 strategies matched to its domain:
- ascii-video: Forced Connections, Conceptual Blending, Oblique Strategies
- p5js: Conceptual Blending, SCAMPER, Distance Association
- manim-video: SCAMPER, Assumption Reversal
Strategies sourced from creativity research (Boden, Eno, de Bono,
Koestler, Fauconnier & Turner, Osborn), formalized for LLM prompting
by Lluminate.
When OpenRouter returns 'No endpoints found that support tool use'
(HTTP 404), display a hint explaining that provider routing restrictions
may be filtering out tool-capable providers. Links the user directly
to the model's OpenRouter page to check which providers support tools.
The hint fires in the error display block that runs regardless of whether
fallback succeeds — so the user always understands WHY the model failed,
not just that it fell back.
Reported via Discord: GLM-5.1 on OpenRouter with US-based provider
restrictions eliminated all 4 tool-supporting endpoints (DeepInfra,
Z.AI, Friendli, Venice), leaving only 7 non-tool providers.
MiniMax's Anthropic-compatible endpoints reject requests that include
the fine-grained-tool-streaming beta header — every tool-use message
triggers a connection error (~18s timeout). Regular chat works fine.
Add _common_betas_for_base_url() that filters out the tool-streaming
beta for Bearer-auth (MiniMax) endpoints while keeping all other betas.
All four client-construction branches now use the filtered list.
Based on #6528 by @HiddenPuppy.
Original cherry-picked from PR #6688 by kshitijk4poor.
Fixes#6510, fixes#6555.
* feat: API server model name derived from profile name
For multi-user setups (e.g. OpenWebUI), each profile's API server now
advertises a distinct model name on /v1/models:
- Profile 'lucas' -> model ID 'lucas'
- Profile 'admin' -> model ID 'admin'
- Default profile -> 'hermes-agent' (unchanged)
Explicit override via API_SERVER_MODEL_NAME env var or
platforms.api_server.model_name config for custom names.
Resolves friction where OpenWebUI couldn't distinguish multiple
hermes-agent connections all advertising the same model name.
* docs: multi-user setup with profiles for API server + Open WebUI
- api-server.md: added Multi-User Setup section, API_SERVER_MODEL_NAME
to config table, updated /v1/models description
- open-webui.md: added Multi-User Setup with Profiles section with
step-by-step guide, updated model name references
- environment-variables.md: added API_SERVER_MODEL_NAME entry
When a streaming response is cut mid-tool-call (connection drop, timeout),
the accumulated function.arguments is invalid JSON. The mock response
builder defaulted finish_reason to 'stop', so the agent loop treated it
as a valid completed turn and tried to execute tools with broken args.
Fix: validate tool call arguments with json.loads() during mock response
reconstruction. If any are invalid JSON, override finish_reason to
'length'. In the main loop's length handler, if tool calls are present,
refuse to execute and return partial=True with a clear error instead of
silently failing or wasting retries.
Also fixes _thinking_exhausted to not short-circuit when tool calls are
present — truncated tool calls are not thinking exhaustion.
Original cherry-picked from PR #6776 by AIandI0x1.
Closes#6638.
The test was mocking _vprint entirely, bypassing the suppress guard.
Switch to capturing _print_fn output so the real _vprint runs and
the guard suppresses retry noise as intended.
Replace 6 identical copies of the Termux detection function across
cli.py, browser_tool.py, voice_mode.py, status.py, doctor.py, and
gateway.py with a single shared implementation in hermes_constants.py.
Each call site imports with its original local name to preserve all
existing callers (internal references and test monkeypatches).
_classify_by_message had no handling for _USAGE_LIMIT_PATTERNS, so
messages like 'usage limit exceeded, try again in 5 minutes' arriving
without an HTTP status code fell through to FailoverReason.unknown
instead of rate_limit.
Apply the same billing/rate-limit disambiguation that _classify_402
already uses: USAGE_LIMIT_PATTERNS + transient signal → rate_limit,
USAGE_LIMIT_PATTERNS alone → billing.
Add 4 tests covering the no-status-code usage-limit path.
* feat(nix): shared-state permission model for interactive CLI users
Enable interactive CLI users in the hermes group to share full
read-write state (sessions, memories, logs, cron) with the gateway
service via a setgid + group-writable permission model.
Changes:
nix/nixosModules.nix:
- Directories use setgid 2770 (was 0750) so new files inherit the
hermes group. home/ stays 0750 (no interactive write needed).
- Activation script creates HERMES_HOME subdirs (cron, sessions, logs,
memories) — previously Python created them but managed mode now skips
mkdir.
- Activation migrates existing runtime files to group-writable (chmod
g+rw). Nix-managed files (config.yaml, .env, .managed) stay 0640/0644.
- Gateway systemd unit gets UMask=0007 so files it creates are 0660.
hermes_cli/config.py:
- ensure_hermes_home() splits into managed/unmanaged paths. Managed mode
verifies dirs exist (raises RuntimeError if not) instead of creating
them. Scoped umask(0o007) ensures SOUL.md is created as 0660.
hermes_logging.py:
- _ManagedRotatingFileHandler subclass applies chmod 0660 after log
rotation in managed mode. RotatingFileHandler.doRollover() creates new
files via open() which uses the process umask (0022 → 0644), not the
scoped umask from ensure_hermes_home().
Verified with a 13-subtest NixOS VM integration test covering setgid,
interactive writes, file ownership, migration, and gateway coexistence.
Refs: #6044
* Fix managed log file mode on initial open
Co-authored-by: Siddharth Balyan <alt-glitch@users.noreply.github.com>
* refactor: simplify managed file handler and merge activation loops
- Cache is_managed() result in handler __init__ instead of lazy-importing
on every _open()/_chmod_if_managed() call. Avoids repeated stat+env
checks on log rotation.
- Merge two for-loops over the same subdir list in activation script
into a single loop (mkdir + chown + chmod + find in one pass).
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Siddharth Balyan <alt-glitch@users.noreply.github.com>
The overflow split loop required _message_id to be set, but on the
first streamed message (or after a segment break) _message_id is None.
Oversized text fell through to _send_or_edit → adapter.send(), which
split internally — but subsequent edits hit Telegram's 'message too
long' and were silently truncated with '…', cutting off the response.
Add a new code path for the _message_id is None case that uses
truncate_message() (same as the non-streaming path) to split with
proper word/code-fence boundaries and chunk indicators. Each chunk
is sent as a new message via _send_new_chunk().
Properly handles got_done (returns immediately after sending chunks
instead of continuing into an infinite loop) and got_segment_break.
Original cherry-picked from PR #6816 by dangelo352.
Fixes silent message truncation on Telegram for long streamed responses.
Chrome auto-launch now passes --user-data-dir, --no-first-run, and
--no-default-browser-check so the debug instance doesn't conflict with
an already-running Chrome using the default profile. The profile dir
lives at {hermes_home}/chrome-debug/.
Also updates the fallback manual instructions to include the same flags
and removes the stale 'close existing Chrome windows' hint.
When managed_persistence is enabled, cleanup_all now only clears local
tracking state without sending DELETE requests to the Camofox server.
This prevents persistent browser profiles (cookies, logins, localStorage)
from being destroyed during process-wide cleanup.
Ephemeral sessions still get full server-side deletion as before.
Chrome auto-launch now passes --user-data-dir, --no-first-run, and
--no-default-browser-check so the debug instance doesn't conflict with
an already-running Chrome using the default profile. The profile dir
lives at {hermes_home}/chrome-debug/.
Also updates the fallback manual instructions to include the same flags
and removes the stale 'close existing Chrome windows' hint.
When _generate_summary() failed (no provider, timeout, model error),
the compressor silently dropped all middle turns with just a debug
log. The agent would then see head + tail with no explanation of the
gap, causing total context amnesia (generic greetings instead of
continuing the conversation).
Now generates a static fallback marker that tells the model context
was lost and to continue from the recent tail messages. The fallback
flows through the same role-alternation logic as a real summary so
message structure stays valid.
- Rewrite test_google_workspace_api.py: test bridge token handling
and calendar date range instead of removed get_credentials()
- Update test_google_oauth_setup.py: partial scopes now accepted
with warning instead of rejected with SystemExit
Migrate the google-workspace skill from custom Python API wrappers
(google-api-python-client) to Google's official Rust CLI gws
(googleworkspace/cli). Add gws_bridge.py for headless-compatible
token refresh. Fix partial OAuth scope handling.
Co-authored-by: spideystreet <dhicham.pro@gmail.com>
Cherry-picked from PR #6713
Follow-up improvements on top of the shared resolver from PR #6562:
- Add platform_env_var parameter to resolve_proxy_url() so DISCORD_PROXY
takes priority over generic HTTPS_PROXY/ALL_PROXY env vars
- Add SOCKS proxy support via aiohttp_socks.ProxyConnector with rdns=True
(critical for GFW/Shadowrocket/Clash users — issue #6649)
- proxy_kwargs_for_bot() returns connector= for SOCKS, proxy= for HTTP
- proxy_kwargs_for_aiohttp() returns split (session_kw, request_kw) for
standalone aiohttp sessions
- Add proxy support to send_message_tool.py (Discord REST, Slack, SMS)
for cron job delivery behind proxies (from PR #2208)
- Add proxy support to Discord image/document downloads
- Fix duplicate import sys in base.py
- Add resolve_proxy_url() to base.py — shared by all platform adapters
- Check HTTPS_PROXY / HTTP_PROXY / ALL_PROXY env vars first
- Fall back to macOS system proxy via scutil --proxy (zero-config)
- Pass proxy= to discord.py commands.Bot() for gateway connectivity
- Refactor telegram_network.py to use shared resolver
- Update test fixtures to accept proxy kwarg
- Add _ThreadContextCache dataclass for caching fetched context (60s TTL)
- Add exponential backoff retry for conversations.replies 429 rate limits
(Tier 3, ~50 req/min)
- Only fetch context when no active session exists (guard at call site)
to prevent duplication across turns
- Hoist bot_uid lookup outside the per-message loop
- Clearer header text for injected thread context
Based on PR #6162 by jarvisxyz, cherry-picked onto current main.
- Treat mpim (multi-party IM / group DM) channels as DMs — no @mention
required, continuous session like 1:1 DMs
- Only add 👀/✅ reactions when bot is directly addressed (DM or
@mention). In listen-all channels (require_mention=false) reacting
to every message would be noisy.
Based on PR #4633 by gunpowder-client-vm, adapted to current main.
Three modes: "none" (default, backward-compatible), "mentions" (accept
bot messages only when they @mention us), "all" (accept all bot messages
except our own, to prevent echo loops).
Configurable via:
slack:
allow_bots: mentions
Or env var: SLACK_ALLOW_BOTS=mentions
Self-message guard always active regardless of mode.
Based on PR #3200 by Mibayy, adapted to current main with config.yaml
bridging support.
Fixes blockquote > escaping, edit_message raw markdown, ***bold italic***
handling, HTML entity double-escaping (&amp;), Wikipedia URL parens
truncation, and step numbering format. Also adds format_message to the
tool-layer _send_to_platform for consistent formatting across all
delivery paths.
Changes:
- Protect Slack entities (<@user>, <https://...|label>, <!here>) from
escaping passes
- Protect blockquote > markers before HTML entity escaping
- Unescape-before-escape for idempotent HTML entity handling
- ***bold italic*** → *_text_* conversion (before **bold** pass)
- URL regex upgraded to handle balanced parentheses
- mrkdwn:True flag on chat_postMessage payloads
- format_message applied in edit_message and send_message_tool
- 52 new tests (format, edit, streaming, splitting, tool chunking)
- Use reversed(dict) idiom for placeholder restoration
Based on PR #3715 by dashed, cherry-picked onto current main.
Port the mention gating pattern from Telegram, Discord, WhatsApp, and
Matrix adapters to the Slack platform adapter.
- Add _slack_require_mention() with explicit-false parsing and env var
fallback (SLACK_REQUIRE_MENTION)
- Add _slack_free_response_channels() with env var fallback
(SLACK_FREE_RESPONSE_CHANNELS)
- Replace hardcoded mention check with configurable gating logic
- Bridge slack config.yaml settings to env vars
- Bridge free_response_channels through the generic platform bridging loop
- Add 26 tests covering config parsing, env fallback, gating logic
Config usage:
slack:
require_mention: false
free_response_channels:
- "C0AQWDLHY9M"
Default behavior unchanged: channels require @mention (backward compatible).
Based on PR #5885 by dorukardahan, cherry-picked and adapted to current main.
Approval button clicks (Block Kit actions in Slack, CallbackQuery in
Telegram) bypass the normal message authorization flow in gateway/run.py.
Any workspace/group member who can see the approval message could click
Approve to authorize dangerous commands.
Read SLACK_ALLOWED_USERS / TELEGRAM_ALLOWED_USERS env vars directly in
the approval handlers. When an allowlist is configured and the clicking
user is not in it, the click is silently ignored (Slack) or answered
with an error (Telegram). Wildcard '*' permits all users. When no
allowlist is configured, behavior is unchanged (open access).
Based on the idea from PR #6735 by maymuneth, reimplemented to use the
existing env-var-based authorization system rather than a nonexistent
_allowed_user_ids adapter attribute.
1. gateway/platforms/slack.py: Replace check-then-set TOCTOU race on
_approval_resolved with atomic dict.pop(). Two concurrent button
clicks could both pass the guard before either set it to True,
causing double resolve_gateway_approval — which can resolve the
WRONG queued approval when multiple are pending for the same session.
2. hermes_state.py: Add WARNING log and proper fallbacks when
json.loads fails on tool_calls (→ []), reasoning_details (→ None),
and codex_reasoning_items (→ None). Previously, failures were
silently swallowed: tool_calls stayed as a raw string (iterating
yields characters, not objects), and reasoning fields were simply
missing from the dict.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Step 1 of _resolve_auto() explicitly excluded 'custom' providers,
forcing custom endpoint users through the fragile fallback chain
instead of using their known-working main model credentials.
This caused silent compression failures for users on local OpenAI-
compatible endpoints — the summary generation would fail, middle
turns would be silently dropped, and the agent would lose all
conversation context.
Remove 'custom' from the exclusion list so custom endpoint users
get the same main-model-first treatment as DeepSeek, Anthropic,
Gemini, and other direct providers.
* fix(tests): mock is_safe_url in tests that use example.com
Tests using example.com URLs were failing because is_safe_url does a real DNS lookup which fails in environments where example.com doesn't resolve, causing the request to be blocked before reaching the already-mocked HTTP client. This should fix around 17 failing tests.
These tests test logic, caching, etc. so mocking this method should not modify them in any way. TestMattermostSendUrlAsFile was already doing this so we follow the same pattern.
* fix(test): use case-insensitive lookup for model context length check
DEFAULT_CONTEXT_LENGTHS uses inconsistent casing (MiniMax keys are lowercase, Qwen keys are mixed-case) so the test was broken in some cases since it couldn't find the model.
* fix(test): patch is_linux in systemd gateway restart test
The test only patched is_macos to False but didn't patch is_linux to True. On macOS hosts, is_linux() returns False and the systemd restart code path is skipped entirely, making the assertion fail.
* fix(test): use non-blocklisted env var in docker forward_env tests
GITHUB_TOKEN is in api_key_env_vars and thus in _HERMES_PROVIDER_ENV_BLOCKLIST so the env var is silently dropped, we replace it with a non-blocked one like DATABASE_URL so the tests actually work.
* fix(test): fully isolate _has_any_provider_configured from host env
_has_any_provider_configured() checks all env vars from PROVIDER_REGISTRY (not just the 5 the tests were clearing) and also calls get_auth_status() which detects gh auth token for Copilot. On machines with any of these set, the function returns True before reaching the code path under test.
Clear all registry vars and mock get_auth_status so host credentials don't interfere.
* fix(test): correct path to hermes_base_env.py in tool parser tests
Path(__file__).parent.parent resolved to tests/, not the project root.
The file lives at environments/hermes_base_env.py so we need one more parent level.
* fix(test): accept optional HTML fields in Matrix send payload
_send_matrix sometimes adds format and formatted_body when the markdown library is installed. The test was doing an exact dict equality check which broke. Check required fields instead.
* fix(test): add config.yaml to codex vision requirements test
The test only wrote auth.json but not config.yaml, so _read_main_provider() returned empty and vision auto-detect never tried the codex provider. Add a config.yaml pointing at openai-codex so the fallback path actually resolves the client.
* fix(test): clear OPENROUTER_API_KEY in _isolate_hermes_home
run_agent.py calls load_hermes_dotenv() at import time, which injects API keys from ~/.hermes/.env into os.environ before any test fixture runs. This caused test_agent_loop_tool_calling to make real API calls instead of skipping, which ends up making some tests fail.
* fix(test): add get_rate_limit_state to agent mock in usage report tests
_show_usage now calls agent.get_rate_limit_state() for rate limit
display. The SimpleNamespace mock was missing this method.
* fix(test): update expected Camofox config version from 12 to 13
* fix(test): mock _get_enabled_platforms in nous managed defaults test
Importing gateway.run leaks DISCORD_BOT_TOKEN into os.environ, which makes _get_enabled_platforms() return ["cli", "discord"] instead of just ["cli"]. tools_command loops per platform, so apply_nous_managed_defaults
runs twice: the first call sets config values, the second sees them as
already configured and returns an empty set, causing the assertion to
fail.
The setup wizard's OpenClaw migration previously ran immediately with
aggressive defaults (overwrite=True, preset=full) after a single
'Would you like to import?' prompt. This caused several problems:
- Config values with different semantics (e.g. tool_call_execution:
'auto' in OpenClaw vs 'off' for Hermes yolo mode) were imported
without translation
- Gateway tokens were hijacked from OpenClaw without warning, taking
over Telegram/Slack/Discord channels
- Instruction files (.md) containing OpenClaw-specific setup/restart
procedures were copied, causing Hermes restart failures
Now the migration:
1. Asks 'Would you like to see what can be imported?' (softer framing)
2. Runs a dry-run preview showing everything that would be imported
3. Displays categorized warnings for high-impact items (gateway
takeover, config value differences, instruction files)
4. Asks for explicit confirmation with default=No
5. Executes with overwrite=False (preserves existing Hermes config)
Also extracts _load_openclaw_migration_module() for reuse and adds
_print_migration_preview() with keyword-based warning detection.
Tests updated for two-phase behavior + new test for decline-after-preview.
When the API returns "max_tokens too large given prompt" (input tokens
are within the context window, but input + requested output > window),
the old code incorrectly routed through the same handler as "prompt too
long" errors, calling get_next_probe_tier() and permanently halving
context_length. This made things worse: the window was fine, only the
requested output size needed trimming for that one call.
Two distinct error classes now handled separately:
Prompt too long — input itself exceeds context window.
Fix: compress history + halve context_length (existing behaviour,
unchanged).
Output cap too large — input OK, but input + max_tokens > window.
Fix: parse available_tokens from the error message, set a one-shot
_ephemeral_max_output_tokens override for the retry, and leave
context_length completely untouched.
Changes:
- agent/model_metadata.py: add parse_available_output_tokens_from_error()
that detects Anthropic's "available_tokens: N" error format and returns
the available output budget, or None for all other error types.
- run_agent.py: call the new parser first in the is_context_length_error
block; if it fires, set _ephemeral_max_output_tokens (with a 64-token
safety margin) and break to retry without touching context_length.
_build_api_kwargs consumes the ephemeral value exactly once then clears
it so subsequent calls use self.max_tokens normally.
- agent/anthropic_adapter.py: expand build_anthropic_kwargs docstring to
clearly document the max_tokens (output cap) vs context_length (total
window) distinction, which is a persistent source of confusion due to
the OpenAI-inherited "max_tokens" name.
- cli-config.yaml.example: add inline comments explaining both keys side
by side where users are most likely to look.
- website/docs/integrations/providers.md: add a callout box at the top
of "Context Length Detection" and clarify the troubleshooting entry.
- tests/test_ctx_halving_fix.py: 24 tests across four classes covering
the parser, build_anthropic_kwargs clamping, ephemeral one-shot
consumption, and the invariant that context_length is never mutated
on output-cap errors.
/pr <anything> silently resolved to /prompt via the shortest-match
tiebreaker in prefix expansion, permanently overwriting the system
prompt and persisting to config. The command's functionality (setting
agent.system_prompt) is available via config.yaml and /personality
covers the common use case.
Removes: CommandDef, dispatch branch, _handle_prompt_command handler,
docs references, and updates subcommand extraction test.
list_authenticated_providers() was using env var names from the external
models.dev registry to detect credentials. This registry has incorrect
mappings for 5 providers: minimax-cn, zai, opencode-zen, opencode-go,
and kilocode — causing them to not appear in /model even when the
correct API key is set.
Now checks PROVIDER_REGISTRY from auth.py first (our source of truth),
falling back to models.dev only for providers not in our registry.
Fixes#6620. Based on devorun's investigation in PR #6625.
The error classifier's generic-400 heuristic only extracted err_body_msg from
the nested body structure (body['error']['message']), missing the flat body
format used by OpenAI's Responses API (body['message']). This caused
descriptive 400 errors like 'Invalid input[index].name: string does not match
pattern' to appear generic when the session was large, misclassifying them as
context overflow and triggering an infinite compression loop.
Added flat-body fallback in _classify_400() consistent with the parent
classify_api_error() function's existing handling at line 297-298.
The status bar reads self.model from the CLI class, which is set once
at init and never updated when _try_activate_fallback() switches to a
backup provider/model in run_agent.py. This causes the TUI to display
the original model name while context_length_max changes, creating a
confusing mismatch.
Read the model name from agent.model (live, updated by fallback) with
self.model as fallback before the agent is created. Remove the
redundant getattr(self, 'agent') call that was already done above.
When is explicitly set to ,
the custom-endpoint path in creates a plain
client without provider-specific headers. This means sync vision calls (e.g.
) use the generic User-Agent and get rejected by
Kimi's coding endpoint with a 403:
'Kimi For Coding is currently only available for Coding Agents such as Kimi CLI...'
The async converter already injects , and the
auto-detected API-key provider path also injects it, but the explicit custom
endpoint shortcut was missing it entirely.
This patch adds the same injection to the custom endpoint
branch, and updates all existing Kimi header sites to for
consistency.
Fixes <issue number to be filled in>
The credential pool seeder (_seed_from_env) hardcoded the base URL
for API-key providers without running provider-specific auto-detection.
For kimi-coding, this caused sk-kimi- prefixed keys to be seeded with
the legacy api.moonshot.ai/v1 endpoint instead of api.kimi.com/coding/v1,
resulting in HTTP 401 on the first request.
Import and call _resolve_kimi_base_url for kimi-coding so the pool
uses the correct endpoint based on the key prefix, matching the
runtime credential resolver behavior.
Also fix a comment: sk-kimi- keys are issued by kimi.com/code,
not platform.kimi.ai.
Fixes#5561
When _try_activate_fallback() swaps to a new provider (e.g.
kimi-coding), resolve_provider_client() correctly injects
provider-specific default_headers (like KimiCLI User-Agent) into the
returned OpenAI client. However, _client_kwargs was saved with only
api_key and base_url, dropping those headers.
Every subsequent API call rebuilds the client from _client_kwargs via
_create_request_openai_client(), producing a bare OpenAI client without
the required headers. Kimi Coding rejects this with 403; Copilot would
lose its auth headers similarly.
This patch reads _custom_headers from the fallback client (where the
OpenAI SDK stores the default_headers kwarg) and includes them in
_client_kwargs so any client rebuild preserves provider-specific headers.
Fixes#6075
Two bugs in the model fallback system:
1. Nous login leaves stale model in config (provider=nous, model=opus
from previous OpenRouter setup). Fixed by deferring the config.yaml
provider write until AFTER model selection completes, and passing the
selected model atomically via _update_config_for_provider's
default_model parameter. Previously, _update_config_for_provider was
called before model selection — if selection failed (free tier, no
models, exception), config stayed as nous+opus permanently.
2. Codex/stale providers in auxiliary fallback can't connect but block
the auto-detection chain. Added _is_connection_error() detection
(APIConnectionError, APITimeoutError, DNS failures, connection
refused) alongside the existing _is_payment_error() check in
call_llm(). When a provider endpoint is unreachable, the system now
falls back to the next available provider instead of crashing.
* fix(nix): switch nixpkgs input from nixos-24.11 to nixos-unstable
nixos-24.11 reached EOL on 2025-06-30. For a dev tool, tracking a
frozen release branch causes dependency versions to go stale.
nixos-unstable provides rolling updates and is the conventional
choice for development packages.
* docs(website): update nix flake example
---------
Co-authored-by: sk <sk@mercury>
* fix(ci): pin floating GitHub Actions tags and ascii-guard to explicit versions
Actions pinned to @main pull whatever is at that ref at execution time,
so a compromised upstream org could execute arbitrary code in CI.
- Pin DeterminateSystems/nix-installer-action to commit SHA (v22)
- Pin DeterminateSystems/magic-nix-cache-action to commit SHA (v13)
- Pin ascii-guard to 2.3.0 in docs-site-checks workflow
SHA comments include the version tag for human readability; Renovate or
Dependabot can keep these updated automatically.
* Add skill metadata extraction step in workflow
Add step to extract skill metadata for dashboard in CI workflow.
---------
Co-authored-by: Siddharth Balyan <52913345+alt-glitch@users.noreply.github.com>
Every turn now logs WHY the agent loop ended to agent.log with a
structured INFO line capturing: exit reason, model, api_calls/max,
budget usage, tool turn count, last message role, response length,
and session ID.
When the last message is a tool result and the turn was NOT
interrupted, emits WARNING level (visible in errors.log) — this is
the 'just stops' scenario users report where a tool call completes
but no continuation or final response follows.
10 tracked exit reasons: text_response, interrupted_by_user,
interrupted_during_api_call, budget_exhausted, max_iterations_reached,
all_retries_exhausted_no_response, fallback_prior_turn_content,
empty_response_exhausted, error_near_max_iterations, unknown.
Documents both debugging commands with full option tables,
examples, and usage guidance. Adds both to the top-level
commands table and as detailed sections with subsections for
log files, filtering behavior, and log rotation.
Adds a new CLI command that outputs a compact, plain-text dump of the
user's Hermes setup — version, OS, model/provider, API key presence,
toolsets, gateway status, platforms, cron jobs, skills, and any
non-default config overrides.
Designed for support context: no ANSI colors, ready to paste into
Discord/GitHub/Telegram. Secrets shown as 'set/not set' by default;
--show-keys reveals redacted prefixes (first/last 4 chars).
Files:
- hermes_cli/dump.py (new) — run_dump() implementation
- hermes_cli/main.py — parser + cmd_dump wiring
- hermes_cli/profiles.py — shell completions + subcommand set
The docs incorrectly referenced 'hermes pairing generate bluebubbles'
which doesn't exist. The existing reactive pairing flow already handles
this — when an unknown user messages the bot, it sends them a code
automatically, and the owner approves with 'hermes pairing approve'.
The old setup wizard (pre-March 2026) wrote LLM_MODEL to ~/.hermes/.env
across 12 provider flows. Commit 9302690e removed the writes but never
cleaned up existing .env files, leaving a dead variable that:
- Nothing in the codebase reads (zero os.getenv calls)
- The docs incorrectly claimed the gateway still used as fallback
- Caused user confusion when debugging model resolution issues
Changes:
- config.py: Bump _config_version 12 → 13, add migration to clear
LLM_MODEL and OPENAI_MODEL from .env (both dead since March 2026)
- environment-variables.md: Remove LLM_MODEL row, fix HERMES_MODEL
description to stop referencing it
- providers.md: Update deprecation notice from 'deprecated' to 'removed'
Parse x-ratelimit-* headers from inference API responses (Nous Portal,
OpenRouter, OpenAI-compatible) and display them in the /usage command.
- New agent/rate_limit_tracker.py: parse 12 rate limit headers (RPM/RPH/
TPM/TPH limits, remaining, reset timers), format as progress bars (CLI)
or compact one-liner (gateway)
- Hook into streaming path in run_agent.py: stream.response.headers is
available on the OpenAI SDK Stream object before chunks are consumed
- CLI /usage: appends rate limit section with progress bars + warnings
when any bucket exceeds 80%
- Gateway /usage: appends compact rate limit summary
- 24 unit tests covering parsing, formatting, edge cases
Headers captured per response:
x-ratelimit-{limit,remaining,reset}-{requests,tokens}{,-1h}
Example CLI display:
Nous Rate Limits (captured just now):
Requests/min [░░░░░░░░░░░░░░░░░░░░] 0.1% 1/800 used (799 left, resets in 59s)
Tokens/hr [░░░░░░░░░░░░░░░░░░░░] 0.0% 49/336.0M (336.0M left, resets in 52m)
Wrap is_dir() in _is_valid_subdir() and is_file() in
_load_hints_for_directory() with OSError handlers so that
inaccessible directories (e.g. /root from a non-root Daytona
host user) are silently skipped instead of crashing the agent.
The existing PermissionError PRs for prompt_builder.py (#6247,
#6321, #6355) do not cover subdirectory_hints.py, which was
identified as a separate crash path in the #6214 comments.
Ref: #6214
prune_sessions and delete_session only handled direct children when
satisfying the parent_session_id FK constraint. Multi-level chains
(A -> B -> C) caused IntegrityError because deleting B while C still
referenced it was blocked by the FK.
Fix: NULL out parent_session_id for any session whose parent is about
to be deleted. This orphans children instead of cascade-deleting them,
which also respects the prune retention window — newer child sessions
are no longer deleted just because an ancestor is old.
Reported by Aaryan2304 in PR #6463.
Updated the logic for determining the probed_url in the probe_api_models function to use the first tried URL instead of the last. This change ensures that the most relevant URL is returned when probing for models. Additionally, improved the output message in the _model_flow_custom function to provide clearer guidance based on the suggested_base_url.
The 24-hour default cooldown for 402-exhausted credentials was far too
aggressive — if a user tops up credits or the 402 was caused by an
oversized max_tokens request rather than true billing exhaustion, they
shouldn't have to wait a full day. Reduce to 1 hour (matching the
existing 429 TTL).
Inspired by PR #6493 (michalkomar).
When a model returns no content, no structured reasoning, and no tool
calls (common with open models), the agent now silently retries up to
3 times before falling through to (empty).
Silent retry (no synthetic messages) keeps the conversation history
clean, preserves prompt caching, and respects the no-synthetic-user-
injection invariant. Most empty responses from open models are
transient (provider hiccups, rate limits, sampling flukes) so a
simple retry is sufficient.
This fills the last gap in the empty-response recovery chain:
1. _last_content_with_tools fallback (prior tool turn had content)
2. Thinking-only prefill continuation (#5931 — structured reasoning)
3. Empty response silent retry (NEW — truly empty, no reasoning)
4. (empty) terminal (last resort after all retries exhausted)
Inline <think> blocks are excluded — the model chose to reason, it
just produced no visible text. That differs from truly empty.
Tests:
- Updated test_truly_empty to expect 4 API calls (1 + 3 retries)
- Added test_truly_empty_response_succeeds_on_nudge
The BlueBubbles adapter was merged but missing setup wizard support:
- Add _setup_bluebubbles() guided setup (server URL, password, allowlist,
home channel, webhook port)
- Add to _GATEWAY_PLATFORMS registry so it appears in 'hermes setup gateway'
- Add to any_messaging check and home channel missing warning
- Add to gateway status display in 'hermes setup'
- Add BLUEBUBBLES_SERVER_URL, BLUEBUBBLES_PASSWORD, BLUEBUBBLES_ALLOWED_USERS
to OPTIONAL_ENV_VARS with descriptions and categories
Previously the only way to configure BlueBubbles was manually editing .env.
Two issues resolved:
1. Add opencode.ai to _URL_TO_PROVIDER mapping so base_url routes through
models.dev lookup (which has mimo-v2-pro at 1M context) instead of
falling back to probing /models (404) and defaulting to 128K.
2. Fix _format_context_length to round cleanly: 1048576 → '1M' instead
of '1.048576M'. Applies same rounding logic to K values.
Add QEMU cross-compilation and multi-arch manifest support so Apple
Silicon (M1/M2/M3) and other ARM-based systems get native images.
- Add docker/setup-qemu-action for arm64 emulation on amd64 runners
- Smoke test stays amd64-only (load:true can't export multi-arch)
- Both push steps (main + release) now build linux/amd64,linux/arm64
- Bump timeout 30->60min for QEMU cross-compilation overhead
- Add permissions: contents: read (least-privilege hardening)
Salvaged from PR #3998 by Mibayy. Also addresses #5005 and #3913.
Co-authored-by: Mibayy <Mibayy@users.noreply.github.com>
Tests for the new behavior paths:
- Large tool outputs no longer block compaction (motivating scenario)
- Hard minimum of 3 tail messages always protected
- 1.5x soft ceiling for oversized messages
- Small conversations still compress (min 8 messages)
- Token-budget prune path in _prune_old_tool_results
- Fallback to message-count when no token budget
PR #6240 changed tail protection from protect_last_n to min(3, ...)
which increased the minimum compressible message count and shifted
tail boundaries. Three tests broke:
- test_summary_role_avoids_consecutive_user_messages: 6→8 msgs
- test_double_collision_user_head_assistant_tail: 7→8 msgs
- test_no_collision_scenarios_still_work: 6→8 msgs
All tests now exceed the new min_for_compress threshold (6) and
maintain proper role alternation in both head and tail sections.
Tail protection was effectively message-count based despite having a
token budget, because protect_last_n=20 acted as a hard floor. A single
50K-token tool output would cause all 20 recent messages to be
preserved regardless of budget, leaving little room for summarization.
Changes:
- _find_tail_cut_by_tokens: min_tail reduced from protect_last_n (20)
to 3; token budget is now the primary criterion
- Soft ceiling at 1.5x budget to avoid cutting mid-oversized-message
- _prune_old_tool_results: accepts optional protect_tail_tokens so
pruning also respects the token budget instead of a fixed count
- compress() minimum message check relaxed from protect_first_n +
protect_last_n + 1 to protect_first_n + 3 + 1
- Tool group alignment (no splitting tool_call/result) preserved
Port missing features from the hindsight-hermes external integration
package into the native plugin. Only touches plugin files — no core
changes.
Features:
- Tags on retain/recall (tags, recall_tags, recall_tags_match)
- Recall config (recall_max_tokens, recall_max_input_chars, recall_types,
recall_prompt_preamble)
- Retain controls (retain_every_n_turns, auto_retain, auto_recall,
retain_async via aretain_batch, retain_context)
- Bank config via Banks API (bank_mission, bank_retain_mission)
- Structured JSON retain with per-message timestamps
- Full session accumulation with document_id for dedup
- Custom post_setup() wizard with curses picker
- Mode-aware dep install (hindsight-client for cloud, hindsight-all for local)
- local_external mode and openai_compatible LLM provider
- OpenRouter support with auto base URL
- Auto-upgrade of hindsight-client to >=0.4.22 on session start
- Comprehensive debug logging across all operations
- 46 unit tests
- Updated README and website docs
Prevents unbounded memory growth in _assistant_threads dict.
Evicts oldest entries when exceeding _ASSISTANT_THREADS_MAX (5000),
matching the pattern used by _mentioned_threads and _seen_messages.
The test_non_internal_event_without_user_triggers_pairing test relied on
no Discord auth env vars being set, but gateway/run.py loads dotenv at
module level. In environments with DISCORD_ALLOW_ALL_USERS=True in .env,
the auth check passed instead of triggering the pairing flow.
Clear DISCORD_ALLOW_ALL_USERS, DISCORD_ALLOWED_USERS, GATEWAY_ALLOW_ALL_USERS,
and GATEWAY_ALLOWED_USERS via monkeypatch to ensure test isolation.
When a background process with notify_on_complete=True finishes, the
gateway injects a synthetic MessageEvent to notify the session. This
event was constructed without user_id, causing _is_user_authorized()
to reject it and — for DM-origin sessions — trigger the pairing flow,
sending "Hi~ I don't recognize you yet!" with a pairing code to the
chat owner.
Add an `internal` flag to MessageEvent that bypasses authorization
checks for system-generated synthetic events. Only the process watcher
sets this flag; no external/adapter code path can produce it.
Includes 4 regression tests covering the fix and the normal pairing path.
`_cleanup_task_resources` was unconditionally calling `cleanup_vm()` at
the end of every `run_conversation` (i.e. every user turn), tearing down
the docker/daytona/modal sandbox container regardless of its
`persistent_filesystem` setting. This contradicted the documented intent
of `terminal.lifetime_seconds` (idle reaper) and `container_persistent`,
and caused per-turn loss of `/workspace`, `~/.config`, agent CLI auth
state, and any other content living inside the sandbox.
The unconditional teardown was introduced in fbd3a2fd ("prevent leakage
of morph instances between tasks", 2025-11-04) to plug a Morph backend
leak, two days after `lifetime_seconds` shipped in faecbddd. It was
later refactored into `_cleanup_task_resources` in 70dd3a16 without
changing semantics. Code and docs have disagreed since.
Fix: introduce `terminal_tool.is_persistent_env(task_id)` and skip the
per-turn `cleanup_vm` when the active env is persistent. The idle reaper
(`_cleanup_inactive_envs`) still tears persistent envs down once
`terminal.lifetime_seconds` is exceeded. Non-persistent backends (Morph)
are unchanged — still torn down per turn, preserving the original
leak-prevention intent.
Combines the approaches from PR #6309 (duan78) and PR #5963 (KUSH42):
Tiered warnings (from #5963):
- Replaces boolean _context_pressure_warned with float _context_pressure_warned_at
- Fires at 85% (orange) and re-fires at 95% (red/critical)
- Adds 'compacting context...' status message before compression
Gateway dedup (from #6309):
- Class-level dict _context_pressure_last_warned survives across AIAgent
instances (gateway creates a new instance per message)
- 5-minute cooldown per session prevents warning spam
- Higher-tier warnings bypass the cooldown (85% → 95% always fires)
- Compression reset clears the dedup entry for the session
- Stale entries evicted (older than 2x cooldown) to prevent memory leak
Does NOT inject into messages — purely user-facing via _safe_print (CLI)
and status_callback (gateway). Zero prompt cache impact.
Fixes#6309. Fixes#5963.
ORIGINAL INCIDENT:
Discord forum descriptions (the topic field on ForumChannel) were invisible
to the agent. When a user set project instructions in a forum's description
(e.g. tool-evaluations), threads created in that forum had no Channel Topic
in their session context. Discovered while evaluating per-forum auto-context
injection for web-tap-terminal development threads.
ISSUE IN THE CODE:
In gateway/platforms/discord.py, all three session entry points
(_handle_message, _build_slash_event, _dispatch_thread_session) read
chat_topic via getattr(channel, 'topic', None). Discord Thread objects
don't carry a topic — only the parent ForumChannel does. So chat_topic
was always None for forum threads, and the Channel Topic line was never
injected into build_session_context_prompt output. The infrastructure to
handle this was already in place — _is_forum_parent() detects forum
channels, _format_thread_chat_name() traverses to the parent, and
build_session_context_prompt() renders Channel Topic when present. The
forum parent was being identified; its topic just wasn't being read.
HOW THIS COMMIT FIXES IT:
Adds _get_effective_topic(channel, is_thread) helper that reads
channel.topic first, then falls back to the parent forum's topic when
the channel is a thread inside a forum. All three session entry points
now call this helper instead of inlining getattr(channel, 'topic', None).
Existing tests pass unchanged.
Co-authored-by: dhabibi <9087935+dhabibi@users.noreply.github.com>
The new degradation warning reads compression_count as an int,
but the existing test's MagicMock returns a MagicMock object
for that attribute, causing '>=' comparison to fail.
Three targeted improvements to the compression system:
1. Replace hardcoded truncation limits with named class constants
(_CONTENT_MAX=6000, _CONTENT_HEAD=4000, _CONTENT_TAIL=1500,
_TOOL_ARGS_MAX=1500, _TOOL_ARGS_HEAD=1200). Previous limits
(3000/500) heavily truncated the summarizer's input — a 200-line
edit got cut to 3000 chars before the summarizer ever saw it.
2. Add '## Tools & Patterns' section to both compression prompt
templates (first-pass and iterative). Preserves working tool
invocations, preferred flags, and tool-specific discoveries
across compaction boundaries.
3. Warn users on 2nd+ compression: 'Session compressed N times —
accuracy may degrade. Consider /new to start fresh.'
Ref #499
- Bind exception in warning send handler (was using stale _ne from outer scope)
- Calculate remaining time until timeout correctly: (timeout - warning) // 60
instead of warning // 60 (which equals elapsed time, not remaining)
Introduce gateway_timeout_warning (default 900s) as a pre-timeout alert
layer. When inactivity reaches the warning threshold, a single
notification is sent to the user offering to wait or reset. If
inactivity continues to the gateway_timeout (default 1800s), the full
timeout fires as before.
This gives users a chance to intervene before work is lost on slow
API providers without disabling the safety timeout entirely.
Config: agent.gateway_timeout_warning in config.yaml, or
HERMES_AGENT_TIMEOUT_WARNING env var (0 = disable warning).
Step c in switch_model() blindly converted the first colon to a slash for
aggregator providers, even when the model name already contained a slash
(vendor/model format). This mangled variant tags like :free into /free,
causing 400 Bad Request from the API.
Fix: skip the colon→slash conversion when the model already has a slash,
since the colon is a variant tag, not a vendor separator. The module
docstring already documented this intent (line 17-18) but the
implementation didn't enforce it.
Reported via Discord. Related to PR #6088 (which identified the same bug
but placed the fix in model_normalize.py instead of model_switch.py where
the actual mangling occurs).
Local inference providers (Ollama, oMLX, llama-cpp) can take 300+ seconds
for prefill on large contexts. The 180s stale stream detector was killing
these connections while the provider was still processing.
Uses the existing is_local_endpoint() (proper URL parsing with RFC-1918,
localhost, WSL detection) instead of ad-hoc substring matching. The stale
timeout is only disabled when the user hasn't explicitly set
HERMES_STREAM_STALE_TIMEOUT — explicit user config is always honored.
Fixes#5889
Documents the per-platform tool_progress_overrides config key added in
PR #6348. Shows example YAML with Signal set to 'off' while Telegram
stays on 'verbose'. Lists all valid platform keys.
The _call_llm() and direct OpenAI fallback paths in flush_memories() both
hardcoded timeout=30.0, ignoring the user-configurable value at
auxiliary.flush_memories.timeout in config.yaml.
Remove the explicit timeout from the auxiliary _call_llm() call so that
_get_task_timeout('flush_memories') reads from config. For the direct
OpenAI fallback, import and use _get_task_timeout() instead of the
hardcoded value.
Add two regression tests verifying both code paths respect the config.
Fixes#6154
When managed_persistence is enabled, cleanup_browser() was calling
camofox_close() which destroys the server-side browser context via
DELETE /sessions/{userId}, killing login sessions across cron runs.
Add camofox_soft_cleanup() — a public wrapper that drops only the
in-memory session entry when managed persistence is on, returning True.
When persistence is off it returns False so the caller falls back to
the full camofox_close(). The inactivity reaper still handles idle
resource cleanup.
Also surface a logger.warning() when _managed_persistence_enabled()
fails to load config, replacing a silent except-and-return-False.
Salvaged from #6182 by el-analista (Eduardo Perea Fernandez).
Added public API wrapper to avoid cross-module private imports,
and test coverage for both persistence paths.
Co-authored-by: Eduardo Perea Fernandez <el-analista@users.noreply.github.com>
Fixes#4647 — Signal replies duplicated when gateway streaming is enabled.
Root cause: stream_consumer.py did not handle the case where send() returns
success=True but no message_id (Signal behavior). Every stream delta produced
a separate send() call (7+ messages instead of 2), plus the gateway sent
another full duplicate since already_sent was never set.
Changes:
- stream_consumer.py: Add elif branch for success-without-message_id — enters
fallback mode (sets already_sent, disables editing, sends only continuation)
- signal.py send(): Extract timestamp from signal-cli RPC result as message_id
so stream consumer follows normal edit→fallback path
- signal.py: Add public stop_typing() delegating to _stop_typing_indicator()
so base adapter's _keep_typing finally block can clean up typing tasks
- gateway/run.py: Per-platform tool_progress_overrides (#6164) — lets users
set e.g. signal: off while keeping telegram: all
- hermes_cli/config.py: Add tool_progress_overrides to DEFAULT_CONFIG
Refs: #4647, #6164
- Docker env tests: verify _build_init_env_args() instead of per-execute
Popen flags (env forwarding is now init-time only)
- Docker: preserve explicit forward_env bypass of blocklist from main
- Daytona tests: adapt to SDK-native timeout, _ThreadedProcessHandle,
base.py interrupt handling, HERMES_STDIN_ heredoc prefix
- Modal tests: fix _load_module to include _ThreadedProcessHandle stub,
check ensurepip in _resolve_modal_image instead of __init__
- SSH tests: mock time.sleep on base module instead of removed ssh import
- Add missing BaseEnvironment attributes to __new__()-based test fixtures
Add configurable reply-reference behavior for Discord, matching the
existing Telegram (TELEGRAM_REPLY_TO_MODE) and Mattermost
(MATTERMOST_REPLY_MODE) implementations.
Modes:
- 'off': never reply-reference the original message
- 'first': reply-reference on first chunk only (default, current behavior)
- 'all': reply-reference on every chunk
Set DISCORD_REPLY_TO_MODE=off in .env to disable reply-to messages.
Changes:
- gateway/config.py: parse DISCORD_REPLY_TO_MODE env var
- gateway/platforms/discord.py: read reply_to_mode from config, respect
it in send() — skip fetch_message entirely when 'off'
- hermes_cli/config.py: add to OPTIONAL_ENV_VARS for hermes setup
- 23 tests covering config, send behavior, env var override
- docs: discord.md env var table + environment-variables.md reference
Closes community request from Stuart on Discord.
Two linked fixes for MiniMax Anthropic-compatible fallback:
1. Normalize httpx.URL to str before calling .rstrip() in auth/provider
detection helpers. Some client objects expose base_url as httpx.URL,
not str — crashed with AttributeError in _requires_bearer_auth() and
_is_third_party_anthropic_endpoint(). Also fixes _try_activate_fallback()
to use the already-stringified fb_base_url instead of raw httpx.URL.
2. Strip Anthropic-proprietary thinking block signatures when targeting
third-party Anthropic-compatible endpoints (MiniMax, Azure AI Foundry,
self-hosted proxies). These endpoints cannot validate Anthropic's
signatures and reject them with HTTP 400 'Invalid signature in
thinking block'. Now threads base_url through convert_messages_to_anthropic()
→ build_anthropic_kwargs() so signature management is endpoint-aware.
Based on PR #4945 by kshitijk4poor (rstrip fix).
Fixes#4944.
Users were setting model.provider to "main" after reading the auxiliary
provider docs, causing "Unknown provider" errors. The "main" alias is
only valid inside auxiliary:, compression:, and fallback_model: configs
where it means "use the same provider as my main agent chat."
Added warning admonitions and inline clarifications to:
- configuration.md: Auxiliary Models provider list and Provider Options table
- fallback-providers.md: Provider Options for Auxiliary Tasks table
Reported by community member cn on Discord.
Fixes 9 test failures on current main, incorporating ideas from PR stack
#6219-#6222 by xinbenlv with corrections:
- model_metadata: sync HF context length key casing
(minimaxai/minimax-m2.5 → MiniMaxAI/MiniMax-M2.5)
- cli.py: route quick command error output through self.console
instead of creating a new ChatConsole() instance
- docker.py: explicit docker_forward_env entries now bypass the
Hermes secret blocklist (intentional opt-in wins over generic filter)
- auxiliary_client: revert _read_main_provider() to simple
provider.strip().lower() — the _normalize_aux_provider() call
introduced in 5c03f2e7 stripped the custom: prefix, breaking
named custom provider resolution
- auxiliary_client: flip vision auto-detection order to
active provider → OpenRouter → Nous → stop (was OR → Nous → active)
- test: update vision priority test to match new order
Based on PR #6219-#6222 by xinbenlv.
* fix(nix): export HERMES_HOME system-wide when addToSystemPackages is true
The `addToSystemPackages` option's documentation (and the `:::tip` block in
`website/docs/getting-started/nix-setup.md`) promises that enabling it both
puts the `hermes` CLI on PATH and sets `HERMES_HOME` system-wide so interactive
shells share state with the gateway service. The module only did the former,
so running `hermes` in a user shell silently created a separate `~/.hermes/`
directory instead of the managed `${stateDir}/.hermes`.
Implement the documented behavior by also setting
`environment.variables.HERMES_HOME = "${cfg.stateDir}/.hermes"` in the same
mkIf block, and update the option description to match.
Fixes#6044
* fix(nix): preserve group-readable permissions in managed mode
The NixOS module sets HERMES_HOME directories to 0750 and files to 0640
so interactive users in the hermes group can share state with the gateway
service. Two issues prevented this from working:
1. hermes_cli/config.py: _secure_dir() unconditionally chmod'd HERMES_HOME
to 0700 on every startup, overwriting the NixOS module's 0750. Similarly,
_secure_file() forced 0600 on config files. Both now skip in managed mode
(detected via .managed marker or HERMES_MANAGED env var).
2. nix/nixosModules.nix: the .env file was created with 0600 (owner-only),
while config.yaml was already 0640 (group-readable). Changed to 0640 for
consistency — users granted hermes group membership should be able to read
the managed .env.
Verified with a NixOS VM integration test: a normal user in the hermes group
can now run `hermes version` and `hermes config` against the managed
HERMES_HOME without PermissionError.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: zerone0x <zerone0x@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
mistralai v2.x is a namespace package — `Mistral` class lives at
`mistralai.client`, not at the top-level `mistralai` module. The
previous `from mistralai import Mistral` raises ImportError at runtime.
Update both production code and test fixture to use the correct path.
- Add HERMES_QWEN_BASE_URL to OPTIONAL_ENV_VARS in config.py (was missing
despite being referenced in code)
- Remove redundant qwen-oauth entry from _API_KEY_PROVIDER_AUX_MODELS
(non-aggregator providers use their main model for aux tasks automatically)
Based on #6079 by @tunamitom with critical fixes and comprehensive tests.
Changes from #6079:
- Fix: sanitization overwrite bug — Qwen message prep now runs AFTER codex
field sanitization, not before (was silently discarding Qwen transforms)
- Fix: missing try/except AuthError in runtime_provider.py — stale Qwen
credentials now fall through to next provider on auto-detect
- Fix: 'qwen' alias conflict — bare 'qwen' stays mapped to 'alibaba'
(DashScope); use 'qwen-portal' or 'qwen-cli' for the OAuth provider
- Fix: hardcoded ['coder-model'] replaced with live API fetch + curated
fallback list (qwen3-coder-plus, qwen3-coder)
- Fix: extract _is_qwen_portal() helper + _qwen_portal_headers() to replace
5 inline 'portal.qwen.ai' string checks and share headers between init
and credential swap
- Fix: add Qwen branch to _apply_client_headers_for_base_url for mid-session
credential swaps
- Fix: remove suspicious TypeError catch blocks around _prompt_provider_choice
- Fix: handle bare string items in content lists (were silently dropped)
- Fix: remove redundant dict() copies after deepcopy in message prep
- Revert: unrelated ai-gateway test mock removal and model_switch.py comment deletion
New tests (30 test functions):
- _qwen_cli_auth_path, _read_qwen_cli_tokens (success + 3 error paths)
- _save_qwen_cli_tokens (roundtrip, parent creation, permissions)
- _qwen_access_token_is_expiring (5 edge cases: fresh, expired, within skew,
None, non-numeric)
- _refresh_qwen_cli_tokens (success, preserve old refresh, 4 error paths,
default expires_in, disk persistence)
- resolve_qwen_runtime_credentials (fresh, auto-refresh, force-refresh,
missing token, env override)
- get_qwen_auth_status (logged in, not logged in)
- Runtime provider resolution (direct, pool entry, alias)
- _build_api_kwargs (metadata, vl_high_resolution_images, message formatting,
max_tokens suppression)
Fixes#6259. Three bugs fixed:
1. Config key mismatch: _get_client() and _start_daemon() read
'llmApiKey' (camelCase) but save_config() stores 'llm_api_key'
(snake_case). The config value was never read — only the env var
fallback worked.
2. Missing base URL support: users on OpenRouter or custom endpoints
had no way to configure HINDSIGHT_API_LLM_BASE_URL through setup.
Added llm_base_url to config schema with empty default, passed
conditionally to HindsightEmbedded constructor.
3. Daemon config change detection: config_changed now also checks
HINDSIGHT_API_LLM_BASE_URL, and the daemon profile .env includes
the base URL when set.
Keeps HINDSIGHT_API_LLM_API_KEY (with double API) in the daemon
profile .env — this matches the upstream hindsight .env.example
convention.
Documents the proxy env var support added in PR #3591 (salvage of #3411
by @kufufu9). Covers HTTPS_PROXY/HTTP_PROXY/ALL_PROXY precedence,
configuration methods, and scope.
* fix(tools): skip camofox auto-cleanup when managed persistence is enabled
When managed_persistence is enabled, cleanup_browser() was calling
camofox_close() which destroys the server-side browser context via
DELETE /sessions/{userId}, killing login sessions across cron runs.
Add camofox_soft_cleanup() — a public wrapper that drops only the
in-memory session entry when managed persistence is on, returning True.
When persistence is off it returns False so the caller falls back to
the full camofox_close(). The inactivity reaper still handles idle
resource cleanup.
Also surface a logger.warning() when _managed_persistence_enabled()
fails to load config, replacing a silent except-and-return-False.
Salvaged from #6182 by el-analista (Eduardo Perea Fernandez).
Added public API wrapper to avoid cross-module private imports,
and test coverage for both persistence paths.
Co-authored-by: Eduardo Perea Fernandez <el-analista@users.noreply.github.com>
* fix(doctor): only check the active memory provider, not all providers unconditionally
hermes doctor had hardcoded Honcho Memory and Mem0 Memory sections that
always ran regardless of the user's memory.provider config setting. After
the swappable memory provider update (#4623), users with leftover Honcho
config but no active provider saw false 'broken' errors.
Replaced both sections with a single Memory Provider section that reads
memory.provider from config.yaml and only checks the configured provider.
Users with no external provider see a green 'Built-in memory active' check.
Reported by community user michaelruiz001, confirmed by Eri (Honcho).
---------
Co-authored-by: Eduardo Perea Fernandez <el-analista@users.noreply.github.com>
Problem: hermes -w sessions accumulated 37+ worktrees and 1200+ orphaned
branches because:
- _cleanup_worktree bailed on any dirty working tree, but agent sessions
almost always leave untracked files/artifacts behind
- _prune_stale_worktrees had the same dirty-check, so stale worktrees
survived indefinitely
- pr-* and hermes/* branches from PR review had zero cleanup mechanism
Changes:
- _cleanup_worktree: check for unpushed commits instead of dirty state.
Agent work lives in pushed commits/PRs — dirty working tree without
unpushed commits is just artifacts, safe to remove.
- _prune_stale_worktrees: three-tier age system:
- Under 24h: skip (session may be active)
- 24h-72h: remove if no unpushed commits
- Over 72h: force remove regardless
- New _prune_orphaned_branches: on each -w startup, deletes local
hermes/hermes-* and pr-* branches with no corresponding worktree.
Protects main, checked-out branch, and active worktree branches.
Tests: 42 pass (6 new covering unpushed-commit logic, force-prune
tier, and orphaned branch cleanup).
- Fire on_session_finalize and on_session_reset in gateway _handle_reset_command()
- Fire on_session_finalize during gateway stop() for each active agent
- Move CLI test from tests/ root to tests/cli/ (matches recent restructure)
- Add 5 gateway tests covering reset hooks, ordering, shutdown, and error handling
- Place on_session_reset after new session is guaranteed to exist (covers
the get_or_create_session fallback path)
Plugins can now subscribe to session boundary events via
ctx.register_hook('on_session_finalize', ...) and
ctx.register_hook('on_session_reset', ...).
on_session_finalize — fires during CLI exit (/quit, Ctrl-C) and
before /new or /reset, giving plugins a chance to flush or clean up.
on_session_reset — fires after a new session is created via
/new or /reset, so plugins can initialize per-session state.
Closes#5592
Hermes Agent identified and patched its own prompting blind spots through
automated self-evaluation — running 64+ tool-use benchmarks across GPT-5.4
and Codex-5.3, diagnosing 5 failure modes, writing targeted prompt patches,
and verifying the fix in a closed loop.
Failure modes discovered and fixed:
- Mental arithmetic (wrong answers: 39,152,053 vs correct 39,151,253)
- User profile hallucination ('Windows 11' when running on Linux)
- Time guessing without verification
- Clarification-seeking instead of acting ('open where?' for port checks)
- Hash computation from memory (SHA-256, encodings)
- Confusing system RAM with agent's own persistent memory store
Two new XML sections added to OPENAI_MODEL_EXECUTION_GUIDANCE:
- <mandatory_tool_use>: explicit categories that must always use tools
- <act_dont_ask>: default to action on obvious interpretations
Results:
gpt-5.4: 68.8% → 100% tool compliance (+31.2pp)
gpt-5.3-codex: 62.5% → 100% tool compliance (+37.5pp)
Regression: 0/8 conversational prompts over-tooled
Anthropic signs thinking blocks against the full turn content. Any
upstream mutation (context compression, session truncation, orphan
stripping, message merging) invalidates the signature, causing HTTP 400
'Invalid signature in thinking block' — especially in long-lived
gateway sessions.
Strategy (following clawdbot/OpenClaw pattern):
1. Strip thinking/redacted_thinking from all assistant messages EXCEPT
the last one — preserves reasoning continuity on the current
tool-use chain while avoiding stale signature errors on older turns.
2. Downgrade unsigned thinking blocks to plain text — Anthropic can't
validate them, but the reasoning content is preserved.
3. Strip cache_control from thinking/redacted_thinking blocks to
prevent cache markers from interfering with signature validation.
4. Drop thinking blocks from the second message when merging
consecutive assistant messages (role alternation enforcement).
5. Error recovery: on HTTP 400 mentioning 'signature' and 'thinking',
strip all reasoning_details from the conversation and retry once.
This is the safety net for edge cases the proactive stripping
misses.
Addresses the issue reported in PR #6086 by @mingginwan while
preserving reasoning continuity (their PR stripped ALL thinking
blocks unconditionally).
Files changed:
- agent/anthropic_adapter.py: thinking block management in
convert_messages_to_anthropic (strip old turns, downgrade unsigned,
strip cache_control, merge-time strip)
- run_agent.py: one-shot signature error recovery in retry loop
- tests/test_anthropic_adapter.py: 10 new tests covering all cases
Gateway and cron had inconsistent reasoning_effort resolution:
- CLI: config.yaml only (correct)
- Gateway: config.yaml first, env var fallback
- Cron: env var first, config.yaml fallback
All three now read exclusively from agent.reasoning_effort in config.yaml.
Removed HERMES_REASONING_EFFORT env var support entirely — .env is for
secrets only, not behavioral config.
Previously crash recovery recreated detached sessions as if they were
fully managed, so polls and kills could lie about liveness and the
checkpoint could forget recovered jobs after the next restart.
This commit refreshes recovered host-backed sessions from real PID
state, keeps checkpoint data durable, and preserves notify watcher
metadata while treating sandbox-only PIDs as non-recoverable.
- Persist `pid_scope` in `tools/process_registry.py` and skip
recovering sandbox-backed entries without a host-visible PID handle
- Refresh detached sessions on access so `get`/`poll`/`wait` and active
session queries observe exited processes instead of hanging forever
- Allow recovered host PIDs to be terminated honestly and requeue
`notify_on_complete` watchers during checkpoint recovery
- Add regression tests for durable checkpoints, detached exit/kill
behavior, sandbox skip logic, and recovered notify watchers
Import hermes_constants.get_hermes_home at module level so it is
available in _start_daemon() when local mode starts the embedded
daemon. Previously the import was only inside _load_config(), causing
NameError when _start_daemon() referenced get_hermes_home().
Fixes#5993
Co-Authored-By: 史官 <historian@slock.team>
Add documentation for cocktailpeanut's hermes-mod community tool —
a web UI for creating and managing Hermes skins visually. Covers
installation (Pinokio, npx, manual), usage walkthrough, and feature
overview including ASCII art generation from images.
Ref: https://github.com/cocktailpeanut/hermes-mod
- DEFAULT_RESULT_SIZE_CHARS: 50K -> 100K (match current _LARGE_RESULT_CHARS)
- DEFAULT_PREVIEW_SIZE_CHARS: 2K -> 1.5K (match current _LARGE_RESULT_PREVIEW_CHARS)
- Per-tool overrides all set to 100K (terminal, execute_code, search_files)
- Remove pre-read byte guard (no behavioral regression vs current main)
- Revert limit signature change to int=500 (match current default)
- Restore original read_file schema description
- Update test assertions to match 100K thresholds
Add BudgetConfig dataclass to centralize and make overridable the
hardcoded constants (50K per-result, 200K per-turn, 2K preview) that
control when tool outputs get persisted to sandbox. Configurable at
the RL environment level via HermesAgentEnvConfig fields, threaded
through HermesAgentLoop to the storage layer.
Resolution: pinned (read_file=inf) > env config overrides > registry
per-tool > default. CLI override: --env.turn_budget_chars 80000
Simplify the vision auto-detection chain from 5 backends (openrouter,
nous, codex, anthropic, custom) down to 3:
1. OpenRouter (known vision-capable default model)
2. Nous Portal (known vision-capable default model)
3. Active provider + model (whatever the user is running)
4. Stop
This is simpler and more predictable. The active provider step uses
resolve_provider_client() which handles all provider types including
named custom providers (from #5978).
Removed the complex preferred-provider promotion logic and API-level
fallback — the chain is short enough that it doesn't need them.
Based on PR #5376 by Mibay. Closes#5366.
_deliver_result() now returns Optional[str] — None on success, error
message on failure. All failure paths (unknown platform, platform
disabled, config load error, send failure, unresolvable target)
return descriptive error strings.
mark_job_run() gains delivery_error param, tracked as
last_delivery_error on the job — separate from agent execution errors.
A job where the agent succeeded but delivery failed shows
last_status='ok' + last_delivery_error='...'.
The cronjob list tool now surfaces last_delivery_error so agents and
users can see when cron outputs aren't arriving.
Inspired by PR #5863 (oxngon) — reimplemented with proper wiring.
Tests: 3 new mark_job_run tests + 6 new _deliver_result return tests.
Add button-based exec approval to the Feishu adapter, matching the
existing Discord, Telegram, and Slack implementations.
When the agent encounters a dangerous command, Feishu users now see
an interactive card with four buttons instead of text instructions:
- Allow Once (primary)
- Allow Session
- Always Allow
- Deny (danger)
Implementation:
- send_exec_approval() sends an interactive card via the Feishu
message API with buttons carrying hermes_action in their value dict
- _handle_card_action_event() intercepts approval button clicks
before routing them as synthetic commands, directly calling
resolve_gateway_approval() to unblock the agent thread
- _update_approval_card() replaces the orange approval card with a
green (approved) or red (denied) status card showing who acted
- _approval_state dict tracks pending approval_id → session_key
mappings; cleaned up on resolution
The gateway's existing routing in _approval_notify_sync already checks
getattr(type(adapter), 'send_exec_approval', None) and will
automatically use the button-based flow for Feishu.
Tests: 16 new tests covering send, callback resolution, state
management, card updates, and non-interference with existing card
actions.
Salvaged fixes from community PRs:
- fix(model_switch): _read_auth_store → _load_auth_store + fix auth store
key lookup (was checking top-level dict instead of store['providers']).
OAuth providers now correctly detected in /model picker.
Cherry-picked from PR #5911 by Xule Lin (linxule).
- fix(ollama): pass num_ctx to override 2048 default context window.
Ollama defaults to 2048 context regardless of model capabilities. Now
auto-detects from /api/show metadata and injects num_ctx into every
request. Config override via model.ollama_num_ctx. Fixes#2708.
Cherry-picked from PR #5929 by kshitij (kshitijk4poor).
- fix(aux): normalize provider aliases for vision/auxiliary routing.
Adds _normalize_aux_provider() with 17 aliases (google→gemini,
claude→anthropic, glm→zai, etc). Fixes vision routing failure when
provider is set to 'google' instead of 'gemini'.
Cherry-picked from PR #5793 by e11i (Elizabeth1979).
- fix(aux): rewrite MiniMax /anthropic base URLs to /v1 for OpenAI SDK.
MiniMax's inference_base_url ends in /anthropic (Anthropic Messages API),
but auxiliary client uses OpenAI SDK which appends /chat/completions →
404 at /anthropic/chat/completions. Generic _to_openai_base_url() helper
rewrites terminal /anthropic to /v1 for OpenAI-compatible endpoint.
Inspired by PR #5786 by Lempkey.
Added debug logging to silent exception blocks across all fixes.
Co-authored-by: Hermes Agent <hermes@nousresearch.com>
Free-tier Nous Portal users were getting mimo-v2-omni (a multimodal
model) for all auxiliary tasks including compression, session search,
and web extraction. Now routes non-vision tasks to mimo-v2-pro (a
text model) which is better suited for those workloads.
- Added _NOUS_FREE_TIER_AUX_MODEL constant for text auxiliary tasks
- _try_nous() accepts vision=False param to select the right model
- Vision path (_resolve_strict_vision_backend) passes vision=True
- All other callers default to vision=False → mimo-v2-pro
Currently, MCP servers are included on all platforms by default. If a
platform's toolset list does not explicitly name any MCP servers, every
globally enabled MCP server is injected. There is no way to opt a
platform out of MCP servers entirely.
This matters for the API server platform when used as an execution
backend — each spawned agent session gets the full MCP tool schema
injected into its system prompt, dramatically inflating token usage
(e.g. 57K tokens vs 9K without MCP tools) and slowing response times.
Add a "no_mcp" sentinel value for platform_toolsets. When present in a
platform's toolset list, all MCP servers are excluded for that platform.
Other platforms are unaffected.
Usage in config.yaml:
platform_toolsets:
api_server:
- terminal
- file
- web
- no_mcp # exclude all MCP servers
The sentinel is filtered out of the final toolset — it does not appear
as an actual toolset name.
- The MCP SDK Pydantic model uses camelCase (structuredContent), not
snake_case (structured_content). The original getattr was a silent no-op.
- When structuredContent is present, return it AS the result instead of
alongside text — the structured payload is the machine-readable data.
- Move test file to tests/tools/ and fix fake class to use camelCase.
- Patch _run_on_mcp_loop in tests so the handler actually executes.
MCP CallToolResult may include structured_content (a JSON object) alongside
content blocks. The tool handler previously only forwarded concatenated text
from content blocks, silently dropping the structured payload.
This breaks MCP tools that return a minimal human text in content while
putting the actual machine-usable payload in structured_content.
Now, when structured_content is present, it is included in the returned
JSON under the 'structuredContent' key.
FixesNousResearch/hermes-agent#5874
* fix(telegram): replace substring caption check with exact line-by-line match
Captions in photo bursts and media group albums were silently dropped when
a shorter caption happened to be a substring of an existing one (e.g.
"Meeting" lost inside "Meeting agenda"). Extract a shared _merge_caption
static helper that splits on "\n\n" and uses exact match with whitespace
normalisation, then use it in both _enqueue_photo_event and
_queue_media_group_event.
Adds 13 unit tests covering the fixed bug scenarios.
Cherry-picked from PR #2671 by Dilee.
* fix: extend caption substring fix to all platforms
Move _merge_caption helper from TelegramAdapter to BasePlatformAdapter
so all adapters inherit it. Fix the same substring-containment bug in:
- gateway/platforms/base.py (photo burst merging)
- gateway/run.py (priority photo follow-up merging)
- gateway/platforms/feishu.py (media batch merging)
The original fix only covered telegram.py. The same bug existed in base.py
and run.py (pure substring check) and feishu.py (list membership without
whitespace normalization).
* fix(auxiliary): resolve named custom providers and 'main' alias in auxiliary routing
Two bugs caused auxiliary tasks (vision, compression, etc.) to fail when
using named custom providers defined in config.yaml:
1. 'provider: main' was hardcoded to 'custom', which only checks legacy
OPENAI_BASE_URL env vars. Now reads _read_main_provider() to resolve
to the actual provider (e.g., 'custom:beans', 'openrouter', 'deepseek').
2. Named custom provider names (e.g., 'beans') fell through to
PROVIDER_REGISTRY which doesn't know about config.yaml entries.
Now checks _get_named_custom_provider() before the registry fallback.
Fixes both resolve_provider_client() and _normalize_vision_provider()
so the fix covers all auxiliary tasks (vision, compression, web_extract,
session_search, etc.).
Adds 13 unit tests. Reported by Laura via Discord.
---------
Co-authored-by: Dilee <uzmpsk.dilekakbas@gmail.com>
* fix(cli): route error messages through ChatConsole inside patch_stdout
Cherry-pick of PR #5798 by @icn5381.
Replace self.console.print() with ChatConsole().print() for 11 error/status
messages reachable during the interactive session. Inside patch_stdout,
self.console (plain Rich Console) writes raw ANSI escapes that StdoutProxy
mangles into garbled text. ChatConsole uses prompt_toolkit's native
print_formatted_text which renders correctly.
Same class of bug as #2262 — that fix covered agent output but missed
these error paths in _ensure_runtime_credentials, _init_agent, quick
commands, skill loading, and plan mode.
* fix(model-picker): add scrolling viewport to curses provider menu
Cherry-pick of PR #5790 by @Lempkey. Fixes#5755.
_curses_prompt_choice rendered items starting unconditionally from index 0
with no scroll offset. The 'More providers' submenu has 13 entries. On
terminals shorter than ~16 rows, items past the fold were never drawn.
When UP-arrow wrapped cursor from 0 to the last item (Cancel, index 12),
the highlight rendered off-screen — appearing as if only Cancel existed.
Adds scroll_offset tracking that adjusts each frame to keep the cursor
inside the visible window.
* feat(cli): skin-aware compact banner + git state in startup banner
Combined salvage of PR #5922 by @ASRagab and PR #5877 by @xinbenlv.
Compact banner changes (from #5922):
- Read active skin colors and branding instead of hardcoding gold/NOUS HERMES
- Default skin preserves backward-compatible legacy branding
- Non-default skins use their own agent_name and colors
Git state in banner (from #5877):
- New format_banner_version_label() shows upstream/local git hashes
- Full banner title now includes git state (upstream hash, carried commits)
- Compact banner line2 shows the version label with git state
- Widen compact banner max width from 64 to 88 to fit version info
Both the full Rich banner and compact fallback are now skin-aware
and show git state.
- Add 7 unit tests for _profile_arg: default home, named profile,
hash path, nested path, invalid name, systemd integration, launchd integration
- Add stt.local.language to config.yaml (empty = auto-detect)
- Both STT code paths now read config.yaml first, env var fallback,
then default (auto-detect for faster-whisper, 'en' for CLI command)
- HERMES_LOCAL_STT_LANGUAGE env var still works as backward-compat fallback
- gateway/run.py: Strip "(The user sent a message with no text content)"
placeholder when voice transcription succeeds — it was being appended
alongside the transcript, creating duplicate user turns.
- tools/transcription_tools.py: Wire HERMES_LOCAL_STT_LANGUAGE env var
into the faster-whisper backend. It was only used by the CLI fallback
path (_transcribe_local_command), not the primary faster-whisper path.
When a Discord voice message arrives, the adapter sets event.text to
"(The user sent a message with no text content)" since voice messages
have no text content. The transcription enrichment in
_enrich_message_with_transcription() then prepends the transcript but
leaves the placeholder intact, causing the agent to receive both:
[The user sent a voice message~ Here's what they said: "..."]
(The user sent a message with no text content)
The agent sees this as two separate user turns — one transcribed
and one empty — creating confusing duplicate messages.
Fix: when the transcription succeeds and user_text is only the empty
placeholder, return just the transcript without the redundant placeholder.
generate_launchd_plist() and generate_systemd_unit() were missing the
--profile <name> argument in ProgramArguments/ExecStart, causing
hermes gateway start to regenerate plists that fell back to
~/.hermes/active_profile instead of the intended profile.
Fix:
- Add _profile_arg(hermes_home?) helper returning '--profile <name>'
only for ~/.hermes/profiles/<name> paths, empty string otherwise.
- Update generate_launchd_plist() to build ProgramArguments array
dynamically with --profile when applicable.
- Update generate_systemd_unit() both user and system service
branches with {profile_arg} in ExecStart.
This ensures hermes --profile <name> gateway start produces a
service definition that correctly scopes to the named profile.
Follow-up to sroecker's PR #5918 — test mocks were using the old 3-arg
callback signature (name, preview, args) instead of the new
(event_type, name, preview, args, **kwargs).
When /v1/runs receives an OpenAI-style array of messages as input, all
messages except the last user turn are now extracted as conversation_history.
Previously only the last message was kept, silently discarding earlier
context in multi-turn conversations.
Handles multi-part content blocks by flattening text portions. Only fires
when no explicit conversation_history was provided.
Based on PR #5837 by pradeep7127.
Allow clients to pass explicit conversation_history in /v1/responses and
/v1/runs request bodies instead of relying on server-side response chaining
via previous_response_id. Solves problems with stateless deployments where
the in-memory ResponseStore is lost on restart.
Adds input validation (must be array of {role, content} objects) and clear
precedence: explicit conversation_history > previous_response_id.
Based on PR #5805 by VanBladee, with added input validation.
Commit cc2b56b2 changed the tool_progress_callback signature from
(name, preview, args) to (event_type, name, preview, args, **kwargs)
but the API server's chat completion streaming callback was not updated.
This caused tool calls to not display in Open WebUI because the
callback received arguments in wrong positions.
- Update _on_tool_progress to use new 4-arg signature
- Add event_type filter to only show tool.started events
- Add **kwargs for optional duration/is_error parameters
Telegram's set_message_reaction replaces all reactions in one call,
so _remove_reaction was never called (unlike Discord's additive model).
Default reactions to disabled — users opt in via telegram.reactions: true.
Mirror the Discord reaction pattern for Telegram:
- 👀 (eyes) when message processing begins
- ✅ (check) on successful completion
- ❌ (cross) on failure
Controlled via TELEGRAM_REACTIONS env var or telegram.reactions
in config.yaml (enabled by default, like Discord).
Uses python-telegram-bot's Bot.set_message_reaction() API.
Failures are caught and logged at debug level so they never
break message processing.
- ignored_channels: channels where bot never responds (even when mentioned)
- no_thread_channels: channels where bot responds directly without thread
Both support config.yaml and env vars (DISCORD_IGNORED_CHANNELS,
DISCORD_NO_THREAD_CHANNELS), following existing pattern for
free_response_channels.
Fixes#5881
The response validation stage unconditionally marked Codex Responses API
replies as invalid when response.output was empty, triggering unnecessary
retries and fallback chains. However, _normalize_codex_response can
recover from this state by synthesizing output from response.output_text.
Now the validation stage checks for output_text before marking the
response invalid, matching the normalization logic. Also fixes
logging.warning → logger.warning for consistency with the rest of the
file.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace 10 callsites across 6 files that manually opened config.yaml,
called yaml.safe_load(), and handled missing-file/parse-error fallbacks
with the new read_raw_config() helper from hermes_cli/config.py.
Each migrated site previously had 5-8 lines of boilerplate:
config_path = get_hermes_home() / 'config.yaml'
if config_path.exists():
import yaml
with open(config_path) as f:
cfg = yaml.safe_load(f) or {}
Now reduced to:
from hermes_cli.config import read_raw_config
cfg = read_raw_config()
Migrated files:
- tools/browser_tool.py (4 sites): command_timeout, cloud_provider,
allow_private_urls, record_sessions
- tools/env_passthrough.py: terminal.env_passthrough
- tools/credential_files.py: terminal.credential_files
- tools/transcription_tools.py: stt.model
- hermes_cli/commands.py: config-gated command resolution
- hermes_cli/auth.py (2 sites): model config read + provider reset
Skipped (intentionally):
- gateway/run.py: 10+ sites with local aliases, critical path
- hermes_cli/profiles.py: profile-specific config path
- hermes_cli/doctor.py: reads raw then writes fixes back
- agent/model_metadata.py: different file (context_length_cache.yaml)
- tools/website_policy.py: custom config_path param + error types
The webhook adapter stored per-request `deliver`/`deliver_extra` config in
`_delivery_info[chat_id]` during POST handling and consumed it via `.pop()`
inside `send()`. That worked for routes whose agent run produced exactly
one outbound message — the final response — but it broke whenever the
agent emitted any interim status message before the final response.
Status messages flow through the same `send(chat_id, ...)` path as the
final response (see `gateway/run.py::_status_callback_sync` →
`adapter.send(...)`). Common triggers include:
- "🔄 Primary model failed — switching to fallback: ..."
(run_agent.py::_emit_status when `fallback_providers` activates)
- context-pressure / compression notices
- any other lifecycle event routed through `status_callback`
When any of those fired, the first `send()` call popped the entry, so the
subsequent final-response `send()` saw an empty dict and silently
downgraded `deliver_type` from `"telegram"` (or `discord`/`slack`/etc.) to
the default `"log"`. The agent's response was logged to the gateway log
instead of being delivered to the configured cross-platform target — no
warning, no error, just a missing message.
This was easy to hit in practice. Any user with `fallback_providers`
configured saw it the first time their primary provider hiccuped on a
webhook-triggered run. Routes that worked perfectly in dev (where the
primary stays healthy) silently dropped responses in prod.
Fix: read `_delivery_info` with `.get()` so multiple `send()` calls for
the same `chat_id` all see the same delivery config. To keep the dict
bounded without relying on per-send cleanup, add a parallel
`_delivery_info_created` timestamp dict and a `_prune_delivery_info()`
helper that drops entries older than `_idempotency_ttl` (1h, same window
already used by `_seen_deliveries`). Pruning runs on each POST, mirroring
the existing `_seen_deliveries` cleanup pattern.
Worst-case memory footprint is now `rate_limit * TTL = 30/min * 60min =
1800` entries, each ~1KB → under 2 MB. In practice it'll be far smaller
because most webhooks complete in seconds, not the full hour.
Test changes:
- `test_delivery_info_cleaned_after_send` is replaced with
`test_delivery_info_survives_multiple_sends`, which is now the
regression test for this bug — it asserts that two consecutive
`send()` calls both see the delivery config.
- A new `test_delivery_info_pruned_via_ttl` covers the TTL cleanup
behavior.
- The two integration tests that asserted `chat_id not in
adapter._delivery_info` after `send()` now assert the opposite, with
a comment explaining why.
All 40 tests in `tests/gateway/test_webhook_adapter.py` and
`tests/gateway/test_webhook_integration.py` pass. Verified end-to-end
locally against a dynamic `hermes webhook subscribe` route configured
with `--deliver telegram --deliver-chat-id <user>`: with `gpt-5.4` as
the primary (currently flaky) and `claude-opus-4.6` as the fallback,
the fallback notification fires, the agent finishes, and the final
response is delivered to Telegram as expected.
* refactor: re-architect tests to mirror the codebase
* Update tests.yml
* fix: add missing tool_error imports after registry refactor
* fix(tests): replace patch.dict with monkeypatch to prevent env var leaks under xdist
patch.dict(os.environ) can leak TERMINAL_ENV across xdist workers,
causing test_code_execution tests to hit the Modal remote path.
* fix(tests): fix update_check and telegram xdist failures
- test_update_check: replace patch("hermes_cli.banner.os.getenv") with
monkeypatch.setenv("HERMES_HOME") — banner.py no longer imports os
directly, it uses get_hermes_home() from hermes_constants.
- test_telegram_conflict/approval_buttons: provide real exception classes
for telegram.error mock (NetworkError, TimedOut, BadRequest) so the
except clause in connect() doesn't fail with "catching classes that do
not inherit from BaseException" when xdist pollutes sys.modules.
* fix(tests): accept unavailable_models kwarg in _prompt_model_selection mock
Previously, all/new tool progress modes always hard-truncated previews
to 40 chars, ignoring the display.tool_preview_length config. This made
it impossible for gateway users to see meaningful command/path info
without switching to verbose mode (which shows too much detail).
Now all/new modes read tool_preview_length from config:
- tool_preview_length: 0 (default/unset) → 40 chars (no regression)
- tool_preview_length: 120 → 120-char previews in all/new mode
- verbose mode: unchanged (already respected the config)
Users who want longer previews can set:
display:
tool_preview_length: 120
Reported by demontut_ on Discord.
Move _merge_caption helper from TelegramAdapter to BasePlatformAdapter
so all adapters inherit it. Fix the same substring-containment bug in:
- gateway/platforms/base.py (photo burst merging)
- gateway/run.py (priority photo follow-up merging)
- gateway/platforms/feishu.py (media batch merging)
The original fix only covered telegram.py. The same bug existed in base.py
and run.py (pure substring check) and feishu.py (list membership without
whitespace normalization).
Captions in photo bursts and media group albums were silently dropped when
a shorter caption happened to be a substring of an existing one (e.g.
"Meeting" lost inside "Meeting agenda"). Extract a shared _merge_caption
static helper that splits on "\n\n" and uses exact match with whitespace
normalisation, then use it in both _enqueue_photo_event and
_queue_media_group_event.
Adds 13 unit tests covering the fixed bug scenarios.
Cherry-picked from PR #2671 by Dilee.
Based on PR #5413 spec by MaheshtheDev (Mahesh Sanikommu).
Changes:
- Add search_mode config (hybrid/memories/documents) passed to SDK
- Add {identity} template support in container_tag for profile-scoped containers
- Add SUPERMEMORY_CONTAINER_TAG env var override (priority over config)
- Add multi-container mode: enable_custom_container_tags, custom_containers,
custom_container_instructions in supermemory.json
- Dynamic tool schemas when multi-container enabled (optional container_tag param)
- Whitelist validation for custom container tags in tool calls
- Simplify get_config_schema() to only prompt for API key during setup
- Defer container_tag sanitization to initialize() (after template resolution)
- Add custom_id support to documents.add calls
- Update README with multi-container docs, search_mode, identity template,
support links (Discord, email)
- Update memory-providers.md with new features and multi-container example
- Update memory-provider-plugin.md with minimal vs full schema guidance
- Add 12 new tests covering identity template, search_mode, multi-container,
config schema, and env var override
When the model produces structured reasoning (via API fields like .reasoning,
.reasoning_content, .reasoning_details) but no visible text content, append
the assistant message as prefill and continue the loop. The model sees its own
reasoning context on the next turn and produces the text portion.
Inspired by clawdbot's 'incomplete-text' recovery pattern. Up to 2 prefill
attempts before falling through to the existing '(empty)' terminal.
Key design decisions:
- Only triggers for structured reasoning (API fields), NOT inline <think> tags
- Prefill messages are popped on success to maintain strict role alternation
- _thinking_prefill marker stripped from all API message building paths
- Works across all providers: OpenAI (continuation), Anthropic (native prefill)
Verified with E2E tests: simulated thinking-only → real OpenRouter continuation
produces correct content. Also confirmed Qwen models consistently produce
structured-reasoning-only responses under token pressure.
Move _PS_CHECK_IMAGE and _PS_EXTRACT_IMAGE above both the native Windows
and WSL2 sections so both can share them. Removes the duplicate
_WIN_PS_CHECK / _WIN_PS_EXTRACT constants.
Add win32 platform branch to clipboard.py so Ctrl+V image paste
works on native Windows (PowerShell / Windows Terminal), not just
WSL2.
Uses the same .NET System.Windows.Forms.Clipboard approach as the
WSL path but calls PowerShell directly instead of powershell.exe
(the WSL cross-call path). Tries 'powershell' first (Windows
PowerShell 5.1, always available), then 'pwsh' (PowerShell 7+).
PowerShell executable is discovered once and cached for the process
lifetime.
Includes 14 new tests covering:
- Platform dispatch (save_clipboard_image + has_clipboard_image)
- Image detection via PowerShell .NET check
- Base64 PNG extraction and decode
- Edge cases: no PowerShell, empty output, invalid base64, timeout
Adapted from PR #5679 (0xbyt4) to cover edge cases not in the integration tests:
video routing, unknown extension fallback to send_document, multi-file delivery,
and single-failure isolation.
The cron delivery path sent raw 'MEDIA:/path/to/file' text instead
of uploading the file as a native attachment. The standalone path
(via _send_to_platform) already extracted MEDIA tags and forwarded
them as media_files, but the live adapter path passed the unprocessed
delivery_content directly to adapter.send().
Two bugs fixed:
1. Live adapter path now sends cleaned text (MEDIA tags stripped)
instead of raw content — prevents 'MEDIA:/path' from appearing
as literal text in Discord/Telegram/etc.
2. Live adapter path now sends each extracted media file via the
adapter's native method (send_voice for audio, send_image_file
for images, send_video for video, send_document as fallback) —
files are uploaded as proper platform attachments.
The file-type routing mirrors BasePlatformAdapter._process_message_background
to ensure consistent behavior between normal gateway responses and
cron-delivered responses.
Adds 2 tests:
- test_live_adapter_sends_media_as_attachments: verifies Discord
adapter receives send_voice call for .mp3 file
- test_live_adapter_sends_cleaned_text_not_raw: verifies MEDIA tag
stripped from text sent via live adapter
Memory plugins (Mem0, Honcho) used static identifiers ('hermes-user',
config peerName) meaning all gateway users shared the same memory bucket.
Changes:
- AIAgent.__init__: add user_id parameter, store as self._user_id
- run_agent.py: include user_id in _init_kwargs passed to memory providers
- gateway/run.py: pass source.user_id to AIAgent in primary + background paths
- Mem0 plugin: prefer kwargs user_id over config default
- Honcho plugin: override cfg.peer_name with gateway user_id when present
CLI sessions (user_id=None) preserve existing defaults. Only gateway
sessions with a real platform user_id get per-user memory scoping.
Reported by plev333.
When the bot sends a message in a thread, track its ts in _bot_message_ts.
When the bot is @mentioned in a thread, register it in _mentioned_threads.
Both sets enable auto-responding to future messages in those threads
without requiring repeated @mentions — making the bot behave like a
team member that stays engaged once a conversation starts.
Channel message gating now checks 4 signals (in order):
1. @mention in this message
2. Reply in a thread the bot started/participated in (_bot_message_ts)
3. Message in a thread where the bot was previously @mentioned (_mentioned_threads)
4. Existing session for this thread (_has_active_session_for_thread — survives restarts)
Thread context fetching now triggers on ANY first-entry path (not just
@mention), so the agent gets context whether it's entering via a mention,
a bot-thread reply, or a mentioned-thread auto-trigger.
Both tracking sets are bounded (5000 cap with prune-oldest-half) to prevent
unbounded memory growth in long-running deployments.
Salvaged from PR #5754 by @hhhonzik. Preserves our existing approval buttons,
thread context fetching, and session key fix. Does NOT include the
edit_message format_message() removal (that was a regression in the original PR).
Tests: 4 new tests for bot-ts tracking and mentioned-thread bounds.
When the agent waits for dangerous-command approval, the typing
indicator (_keep_typing loop) kept refreshing. On Slack's Assistant
API this is critical: assistant_threads_setStatus disables the
compose box, preventing users from typing /approve or /deny.
- Add _typing_paused set + pause/resume methods to BasePlatformAdapter
- _keep_typing skips send_typing when chat_id is paused
- _approval_notify_sync pauses typing before sending approval prompt
- _handle_approve_command / _handle_deny_command resume typing after
Benefits all platforms — no reason to show 'is thinking...' while
the agent is idle waiting for human input.
Slack:
- Add Block Kit interactive buttons for command approval (Allow Once,
Allow Session, Always Allow, Deny) via send_exec_approval()
- Register @app.action handlers for each approval button
- Add _fetch_thread_context() — fetches thread history via
conversations.replies when bot is first @mentioned mid-thread
- Fix _has_active_session_for_thread() to use build_session_key()
instead of manual key construction (fixes session key mismatch bug
where thread_sessions_per_user flag was ignored, ref PR #5833)
Telegram:
- Add InlineKeyboard approval buttons via send_exec_approval()
- Add ea:* callback handling in _handle_callback_query()
- Uses monotonic counter + _approval_state dict to map button clicks
back to session keys (avoids 64-byte callback_data limit)
Both platforms now auto-detected by the gateway runner's
_approval_notify_sync() — any adapter with send_exec_approval() on
its class gets button-based approval instead of text fallback.
Inspired by community PRs #3898 (LevSky22), #2953 (ygd58), #5833
(heathley). Implemented fresh on current main.
Tests: 24 new tests covering button rendering, action handling,
thread context fetching, session key fix, double-click prevention.
16 callsites across 14 files were re-deriving the hermes home path
via os.environ.get('HERMES_HOME', ...) instead of using the canonical
get_hermes_home() from hermes_constants. This breaks profiles — each
profile has its own HERMES_HOME, and the inline fallback defaults to
~/.hermes regardless.
Fixed by importing and calling get_hermes_home() at each site. For
files already inside the hermes process (agent/, hermes_cli/, tools/,
gateway/, plugins/), this is always safe. Files that run outside the
process context (mcp_serve.py, mcp_oauth.py) already had correct
try/except ImportError fallbacks and were left alone.
Skipped: hermes_constants.py (IS the implementation), env_loader.py
(bootstrap), profiles.py (intentionally manipulates the env var),
standalone scripts (optional-skills/, skills/), and tests.
Comprehensive cleanup across 80 files based on automated (ruff, pyflakes, vulture)
and manual analysis of the entire codebase.
Changes by category:
Unused imports removed (~95 across 55 files):
- Removed genuinely unused imports from all major subsystems
- agent/, hermes_cli/, tools/, gateway/, plugins/, cron/
- Includes imports in try/except blocks that were truly unused
(vs availability checks which were left alone)
Unused variables removed (~25):
- Removed dead variables: connected, inner, channels, last_exc,
source, new_server_names, verify, pconfig, default_terminal,
result, pending_handled, temperature, loop
- Dropped unused argparse subparser assignments in hermes_cli/main.py
(12 instances of add_parser() where result was never used)
Dead code removed:
- run_agent.py: Removed dead ternary (None if False else None) and
surrounding unreachable branch in identity fallback
- run_agent.py: Removed write-only attribute _last_reported_tool
- hermes_cli/providers.py: Removed dead @property decorator on
module-level function (decorator has no effect outside a class)
- gateway/run.py: Removed unused MCP config load before reconnect
- gateway/platforms/slack.py: Removed dead SessionSource construction
Undefined name bugs fixed (would cause NameError at runtime):
- batch_runner.py: Added missing logger = logging.getLogger(__name__)
- tools/environments/daytona.py: Added missing Dict and Path imports
Unnecessary global statements removed (14):
- tools/terminal_tool.py: 5 functions declared global for dicts
they only mutated via .pop()/[key]=value (no rebinding)
- tools/browser_tool.py: cleanup thread loop only reads flag
- tools/rl_training_tool.py: 4 functions only do dict mutations
- tools/mcp_oauth.py: only reads the global
- hermes_time.py: only reads cached values
Inefficient patterns fixed:
- startswith/endswith tuple form: 15 instances of
x.startswith('a') or x.startswith('b') consolidated to
x.startswith(('a', 'b'))
- len(x)==0 / len(x)>0: 13 instances replaced with pythonic
truthiness checks (not x / bool(x))
- in dict.keys(): 5 instances simplified to in dict
- Redefined unused name: removed duplicate _strip_mdv2 import in
send_message_tool.py
Other fixes:
- hermes_cli/doctor.py: Replaced undefined logger.debug() with pass
- hermes_cli/config.py: Consolidated chained .endswith() calls
Test results: 3934 passed, 17 failed (all pre-existing on main),
19 skipped. Zero regressions.
* fix: repair 57 failing CI tests across 14 files
Categories of fixes:
**Test isolation under xdist (-n auto):**
- test_hermes_logging: Strip ALL RotatingFileHandlers before each test
to prevent handlers leaked from other xdist workers from polluting counts
- test_code_execution: Force TERMINAL_ENV=local in setUp — prevents Modal
AuthError when another test leaks TERMINAL_ENV=modal
- test_timezone: Same TERMINAL_ENV fix for execute_code timezone tests
- test_codex_execution_paths: Mock _resolve_turn_agent_config to ensure
model resolution works regardless of xdist worker state
**Matrix adapter tests (nio not installed in CI):**
- Add _make_fake_nio() helper with real response classes for isinstance()
checks in production code
- Replace MagicMock(spec=nio.XxxResponse) with fake_nio instances
- Wrap production method calls with patch.dict('sys.modules', {'nio': ...})
so import nio succeeds in method bodies
- Use try/except instead of pytest.importorskip for nio.crypto imports
(importorskip can be fooled by MagicMock in sys.modules)
- test_matrix_voice: Skip entire file if nio is a mock, not just missing
**Stale test expectations:**
- test_cli_provider_resolution: _prompt_provider_choice now takes **kwargs
(default param added); mock getpass.getpass alongside input
- test_anthropic_oauth_flow: Mock getpass.getpass (code switched from input)
- test_gemini_provider: Mock models.dev + OpenRouter API lookups to test
hardcoded defaults without external API variance
- test_code_execution: Add notify_on_complete to blocked terminal params
- test_setup_openclaw_migration: Mock prompt_choice to select 'Full setup'
(new quick-setup path leads to _require_tty → sys.exit in CI)
- test_skill_manager_tool: Patch get_all_skills_dirs alongside SKILLS_DIR
so _find_skill searches tmp_path, not real ~/.hermes/skills/
**Missing attributes in object.__new__ test runners:**
- test_platform_reconnect: Add session_store to _make_runner()
- test_session_race_guard: Add hooks, _running_agents_ts, session_store,
delivery_router to _make_runner()
**Production bug fix (gateway/run.py):**
- Fix sentinel eviction race: _AGENT_PENDING_SENTINEL was immediately
evicted by the stale-detection logic because sentinels have no
get_activity_summary() method, causing _stale_idle=inf >= timeout.
Guard _should_evict with 'is not _AGENT_PENDING_SENTINEL'.
* fix: address remaining CI failures
- test_setup_openclaw_migration: Also mock _offer_launch_chat (called at
end of both quick and full setup paths)
- test_code_execution: Move TERMINAL_ENV=local to module level to protect
ALL test classes (TestEnvVarFiltering, TestExecuteCodeEdgeCases,
TestInterruptHandling, TestHeadTailTruncation) from xdist env leaks
- test_matrix: Use try/except for nio.crypto imports (importorskip can be
fooled by MagicMock in sys.modules under xdist)
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>
Two issues caused Matrix E2EE to silently not work in encrypted rooms:
1. When matrix-nio is installed without the [e2e] extra (no python-olm /
libolm), nio.crypto.ENCRYPTION_ENABLED is False and client.olm is
never initialized. The adapter logged warnings but returned True from
connect(), so the bot appeared online but could never decrypt messages.
Now: check_matrix_requirements() and connect() both hard-fail with a
clear error message when MATRIX_ENCRYPTION=true but E2EE deps are
missing.
2. Without a stable device_id, the bot gets a new device identity on each
restart. Other clients see it as "unknown device" and refuse to share
Megolm session keys. Now: MATRIX_DEVICE_ID env var lets users pin a
stable device identity that persists across restarts and is passed to
nio.AsyncClient constructor + restore_login().
Changes:
- gateway/platforms/matrix.py: add _check_e2ee_deps(), hard-fail in
connect() and check_matrix_requirements(), MATRIX_DEVICE_ID support
in constructor + restore_login
- gateway/config.py: plumb MATRIX_DEVICE_ID into platform extras
- hermes_cli/config.py: add MATRIX_DEVICE_ID to OPTIONAL_ENV_VARS
Closes#3521
When the Codex CLI (or VS Code extension) consumes a refresh token before
Hermes can use it, Hermes previously surfaced a generic 401 error with no
actionable guidance.
- In `refresh_codex_oauth_pure`: detect `refresh_token_reused` from the
OAuth endpoint and raise an AuthError explaining the cause and the exact
steps to recover (run `codex` to refresh, then `hermes login`).
- In `run_agent.py`: when provider is `openai-codex` and HTTP 401 is
received, show Codex-specific recovery steps instead of the generic
"check your API key" message.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- avoid hard-coded ~/.hermes paths in the setup and API shorthands
- prefer HERMES_HOME with a sane default to /Users/peteradams/.hermes
- keep the examples aligned with profile-aware Hermes installs
- fall back to adding the repo root to sys.path when hermes_constants is not importable
- fixes direct execution of setup.py and google_api.py from the repo checkout
- keeps the upstream PR scoped to the google-workspace compatibility fix
The Mattermost adapter downloads file attachments correctly but
never updates msg_type from TEXT to DOCUMENT. This means the
document enrichment block in gateway/run.py (which requires
MessageType.DOCUMENT) never executes — text files are not
inlined, and the agent is never notified about attached files.
The user sends a file, the adapter downloads it to the local
cache, but the agent sees an empty message and responds with
'I didn't receive any file'.
Set msg_type to DOCUMENT when file_ids is non-empty, matching
the behavior of the Telegram and Discord adapters.
The _async_flush_memories() helper accepts (session_id) but both the
/new and /resume handlers passed two arguments (session_id, session_key).
The TypeError was silently swallowed at DEBUG level, so memory extraction
never ran when users typed /new or /resume.
One call site (the session expiry watcher) was already fixed in 9c96f669,
but /new and /resume were missed.
- gateway/run.py:3247 — remove stray session_key from /new handler
- gateway/run.py:4989 — remove stray session_key from /resume handler
- tests/gateway/test_resume_command.py:222 — update test assertion
Previously the scheduler checked startswith('[SILENT]'), so agents that
appended [SILENT] after an explanation (e.g. 'N items filtered.\n\n[SILENT]')
would still trigger delivery.
Change the check to 'in' so the marker is caught regardless of position.
Add test_silent_trailing_suppresses_delivery to cover this case.
Ensures pending sessions are committed on process exit even if
shutdown_memory_provider is never called (gateway crash, SIGKILL,
or exception in _async_flush_memories preventing shutdown).
Also reorders on_session_end to wait for the pending sync thread
before checking turn_count, so the last turn's messages are flushed.
Based on PR #4919 by dagbs.
Updates the plugin build guide and features page to reflect the
interactive env var prompting added in PR #5470. Documents the rich
manifest format (name/description/url/secret) alongside the simple
string format.
- {__raw__} in webhook prompt templates dumps the full JSON payload (truncated at 4000 chars)
- _deliver_cross_platform now passes thread_id/message_thread_id from deliver_extra as metadata, enabling Telegram forum topic delivery
- Tests for both features
Follow-up to PR #5470. Replaces hardcoded ~/.hermes/.env references with
display_hermes_home() for correct behavior under profiles. Also updates
PluginManifest.requires_env type hint to List[Union[str, Dict[str, Any]]]
to document the rich format introduced in #5470.
Adds obsidian-headless (npm) setup guide to the Obsidian Integration
section — Node 22+, ob login, sync-create-remote, sync-setup, systemd
service for continuous background sync. Covers the full headless
workflow for agents running on servers syncing to Obsidian desktop on
other devices.
* feat(tools): add Firecrawl cloud browser provider
Adds Firecrawl (https://firecrawl.dev) as a cloud browser provider
alongside Browserbase and Browser Use. All browser tools route through
Firecrawl's cloud browser via CDP when selected.
- tools/browser_providers/firecrawl.py — FirecrawlProvider
- tools/browser_tool.py — register in _PROVIDER_REGISTRY
- hermes_cli/tools_config.py — add to onboarding provider picker
- hermes_cli/setup.py — add to setup summary
- hermes_cli/config.py — add FIRECRAWL_BROWSER_TTL config
- website/docs/ — browser docs and env var reference
Based on #4490 by @developersdigest.
Co-Authored-By: Developers Digest <124798203+developersdigest@users.noreply.github.com>
* refactor: simplify FirecrawlProvider.emergency_cleanup
Use self._headers() and self._api_url() instead of duplicating
env-var reads and header construction.
* fix: recognize Firecrawl in subscription browser detection
_resolve_browser_feature_state() now handles "firecrawl" as a direct
browser provider (same pattern as "browser-use"), so hermes setup
summary correctly shows "Browser Automation (Firecrawl)" instead of
misreporting as "Local browser".
Also fixes test_config_version_unchanged assertion (11 → 12).
---------
Co-authored-by: Developers Digest <124798203+developersdigest@users.noreply.github.com>
Skills can now declare config.yaml settings via metadata.hermes.config
in their SKILL.md frontmatter. Values are stored under skills.config.*
namespace, prompted during hermes config migrate, shown in hermes config
show, and injected into the skill context at load time.
Also adds the llm-wiki skill (Karpathy's LLM Wiki pattern) as the first
skill to use the new config interface, declaring wiki.path.
Skill config interface (new):
- agent/skill_utils.py: extract_skill_config_vars(), discover_all_skill_config_vars(),
resolve_skill_config_values(), SKILL_CONFIG_PREFIX
- agent/skill_commands.py: _inject_skill_config() injects resolved values
into skill messages as [Skill config: ...] block
- hermes_cli/config.py: get_missing_skill_config_vars(), skill config
prompting in migrate_config(), Skill Settings in show_config()
LLM Wiki skill (skills/research/llm-wiki/SKILL.md):
- Three-layer architecture (raw sources, wiki pages, schema)
- Three operations (ingest, query, lint)
- Session orientation, page thresholds, tag taxonomy, update policy,
scaling guidance, log rotation, archiving workflow
Docs: creating-skills.md, configuration.md, skills.md, skills-catalog.md
Closes#5100
The canonical config key for model name is model.default (used by setup,
auth, runtime_provider, profile list, and CLI startup). But /model --global
wrote to model.name in both gateway and CLI paths.
This caused:
- hermes profile list showing the old model (reads model.default)
- Gateway restart reverting to the old model (_resolve_gateway_model reads model.default)
- CLI startup using the old model (main.py reads model.default)
The only reason it appeared to work in Telegram was the cached agent
staying alive with the in-place switch.
Fix: change all 3 write/read sites to use model.default.
When parent_agent.enabled_toolsets is None (the default, meaning all tools
are enabled), subagents incorrectly fell back to DEFAULT_TOOLSETS
(['terminal', 'file', 'web']) instead of inheriting the parent's full
toolset.
Root cause:
- Line 188 used 'or' fallback: None or DEFAULT_TOOLSETS evaluates to
DEFAULT_TOOLSETS
- Line 192 checked truthiness: None is falsy, falling through to else
Fix:
- Use 'is not None' checks instead of truthiness
- When enabled_toolsets is None, derive effective toolsets from
parent_agent.valid_tool_names via the tool registry
Fixes the bug introduced in f75b1d21b and repeated in e5d14445e (PR #3269).
When an alias like 'claude' can't be resolved on the current provider,
_resolve_alias_fallback() tries other providers. Previously it hardcoded
('openrouter', 'nous') — so '/model claude' on z.ai would resolve to
openrouter even if the user doesn't have openrouter credentials but does
have anthropic.
Now the fallback uses the user's actual authenticated providers (detected
via list_authenticated_providers which is backed by the models.dev
in-memory cache). If no authenticated providers are found, falls back to
the old ('openrouter', 'nous') for backwards compatibility.
New helper: get_authenticated_provider_slugs() returns just the slug
strings from list_authenticated_providers().
launchctl kickstart returns exit code 113 ("Could not find service") when
the plist exists but the job hasn't been bootstrapped into the runtime domain.
The existing recovery path only caught exit code 3 ("unloaded"), causing an
unhandled CalledProcessError.
Exit code 113 means the same thing practically -- the service definition needs
bootstrapping before it can be kicked. Add it to the same recovery path that
already handles exit 3, matching the existing pattern in launchd_stop().
Follow-up: add a unit test covering the 113 recovery path.
Shell injection via unquoted workdir interpolation in docker, singularity,
and SSH backends. When workdir contained shell metacharacters (e.g.
~/;id), arbitrary commands could execute.
Changes:
- Add shlex.quote() at each interpolation point in docker.py,
singularity.py, and ssh.py with tilde-aware quoting (keep ~
unquoted for shell expansion, quote only the subpath)
- Add _validate_workdir() allowlist in terminal_tool.py as
defense-in-depth before workdir reaches any backend
Original work by Mariano A. Nicolini (PR #5620). Salvaged with fixes
for tilde expansion (shlex.quote breaks cd ~/path) and replaced
incomplete deny-list with strict character allowlist.
Co-authored-by: Mariano A. Nicolini <entropidelic@users.noreply.github.com>
Windows users running Hermes in WSL2 with model servers on the Windows
host hit 'connection refused' because WSL2's NAT networking means
localhost points to the VM, not Windows.
Covers:
- Mirrored networking mode (Win 11 22H2+) — makes localhost work
- NAT mode fallback using the host IP via ip route
- Per-server bind address table (Ollama, LM Studio, llama-server,
vLLM, SGLang)
- Detailed Ollama Windows service config for OLLAMA_HOST
- Windows Firewall rules for WSL2 connections
- Quick verification steps
- Cross-reference from Troubleshooting section
The ContextVar migration removed 'from pathlib import Path' but Path
is still used in _load_config_passthrough(). Without this import,
config-based env passthrough would raise NameError.
When a user runs out of OpenRouter credits and switches to Codex (or any
other provider), auxiliary tasks (compression, vision, web_extract) would
still try OpenRouter first and fail with 402. Two fixes:
1. Payment fallback in call_llm(): When a resolved provider returns HTTP 402
or a credit-related error, automatically retry with the next available
provider in the auto-detection chain. Skips the depleted provider and
tries Nous → Custom → Codex → API-key providers.
2. Remove hardcoded OpenRouter fallback: The old code fell back specifically
to OpenRouter when auto/custom resolution returned no client. Now falls
back to the full auto-detection chain, which handles any available
provider — not just OpenRouter.
Also extracts _get_provider_chain() as a shared function (replaces inline
tuple in _resolve_auto and the new fallback), built at call time so test
patches on _try_* functions remain visible.
Adds 16 tests covering _is_payment_error(), _get_provider_chain(),
_try_payment_fallback(), and call_llm() integration with 402 retry.
Centralize the skill → slash command registration that Telegram already had
in commands.py so Discord uses the exact same priority system, filtering,
and cap enforcement:
1. Core/built-in commands (never trimmed)
2. Plugin commands (never trimmed)
3. Skill commands (fill remaining slots, alphabetical, only tier trimmed)
Changes:
hermes_cli/commands.py:
- Rename _TG_NAME_LIMIT → _CMD_NAME_LIMIT (32 chars shared by both platforms)
- Rename _clamp_telegram_names → _clamp_command_names (generic)
- Extract _collect_gateway_skill_entries() — shared plugin + skill
collection with platform filtering, name sanitization, description
truncation, and cap enforcement
- Refactor telegram_menu_commands() to use the shared helper
- Add discord_skill_commands() that returns (name, desc, cmd_key) triples
- Preserve _sanitize_telegram_name() for Telegram-specific name cleaning
gateway/platforms/discord.py:
- Call discord_skill_commands() from _register_slash_commands()
- Create app_commands.Command per skill entry with cmd_key callback
- Respect 100-command global Discord limit
- Log warning when skills are skipped due to cap
Backward-compat aliases preserved for _TG_NAME_LIMIT and
_clamp_telegram_names.
Tests: 9 new tests (7 Discord + 2 backward-compat), 98 total pass.
Inspired by PR #5498 (sprmn24). Closes#5480.
When using xAI's API directly (base_url contains x.ai), send the
x-grok-conv-id header set to the Hermes session_id. This routes
consecutive requests to the same server, maximizing automatic
prompt cache hits.
Ref: https://docs.x.ai/developers/advanced-api-usage/prompt-caching
The cron scheduler delivery path passed raw text including MEDIA: tags
to _send_to_platform(), so media attachments were delivered as literal
text instead of actual files. The send function already supports
media_files= but the cron path never used it.
Now calls BasePlatformAdapter.extract_media() to split media paths
from text before sending, matching the gateway's normal message flow.
Salvaged from PR #4877 by robert-hoffmann.
The Signal adapter inherited base class defaults for send_image_file(),
send_voice(), and send_video() which only sent the file path as text
(e.g. '🖼️ Image: /tmp/chart.png') instead of actually delivering the file
as a Signal attachment.
When agent responses contain MEDIA:/path/to/file tags, the gateway
media pipeline extracts them and routes through these methods by file
type. Without proper overrides, image/audio/video files were never
actually delivered to Signal users.
Extract a shared _send_attachment() helper that handles all file
validation, size checking, group/DM routing, and RPC dispatch. The four
public methods (send_document, send_image_file, send_voice, send_video)
now delegate to this helper, following the same pattern used by WhatsApp
(_send_media_to_bridge) and Discord (_send_file_attachment).
The helper also uses a single stat() call with try/except FileNotFoundError
instead of the previous exists() + stat() two-syscall pattern, eliminating
a TOCTOU race. As a bonus, send_document() now gains the 100MB size check
that was previously missing (inconsistency with send_image).
Add 25 tests covering all methods plus MEDIA: tag extraction integration,
method-override guards, and send_document's new size check.
Fixes#5105
Telegram Bot API requires command names to contain only lowercase a-z,
digits 0-9, and underscores. Skill/plugin names containing characters
like +, /, @, or . caused set_my_commands to fail with
Bot_command_invalid.
Two-layer fix:
- scan_skill_commands(): strip non-alphanumeric/non-hyphen chars from
cmd_key at source, collapse consecutive hyphens, trim edges, skip
names that sanitize to empty string
- _sanitize_telegram_name(): centralized helper used by all 3 Telegram
name generation sites (core commands, plugin commands, skill commands)
with empty-name guard at each call site
Closes#5534
OpenCode Go model names with dots (minimax-m2.7, glm-4.5, kimi-k2.5)
were being mangled to hyphens (minimax-m2-7), causing HTTP 401 errors.
Two code paths were affected:
1. model_normalize.py: opencode-go was incorrectly in DOT_TO_HYPHEN_PROVIDERS
2. run_agent.py: _anthropic_preserve_dots() did not check for opencode-go
Fix:
- Remove opencode-go from _DOT_TO_HYPHEN_PROVIDERS (dots are correct for Go)
- Add opencode-go to _anthropic_preserve_dots() provider check
- Add opencode.ai/zen/go to base_url fallback check
- Add regression tests in tests/test_model_normalize.py
Co-authored-by: jacob3712 <jacob3712@users.noreply.github.com>
Grok models (x-ai/grok-4.20-beta, grok-code-fast-1) now receive tool-use
enforcement guidance, steering them to actually call tools instead of
describing intended actions. Matches both OpenRouter (x-ai/grok-*) and
direct xAI API usage.
When agent_key is missing from auth state (expired, not yet minted,
or mint failed silently), the fallback chain fell through to
access_token — an OAuth bearer token for the Nous portal API, not
an inference credential. The Nous inference API returns 404 because
the OAuth token is not a valid inference key.
Remove the access_token fallback so an empty agent_key correctly
triggers resolve_nous_runtime_credentials() to mint a fresh key.
Closes#5562
These commands were defined in the central command registry and handled
by the gateway runner, but not registered as native Discord slash commands
via @tree.command(). This meant they didn't appear in Discord's slash
command picker UI.
Reported by community user — /queue worked on Telegram but not Discord.
The previous implementation hit endpoints that do not exist on the RetainDB
API (/v1/recall, /v1/ingest, /v1/remember, /v1/search, /v1/profile/:p/:u).
Every operation was silently failing with 404. This rewrites the plugin against
the real API surface and adds several new capabilities.
API route fixes:
- Context query: POST /v1/context/query (was /v1/recall)
- Session ingest: POST /v1/memory/ingest/session (was /v1/ingest)
- Memory write: POST /v1/memory with legacy fallback to /v1/memories (was /v1/remember)
- Memory search: POST /v1/memory/search (was /v1/search)
- User profile: GET /v1/memory/profile/:userId (was /v1/profile/:project/:userId)
- Memory delete: DELETE /v1/memory/:id with fallback (was /v1/memory/:id, wrong base)
Durable write-behind queue:
- SQLite spool at ~/.hermes/retaindb_queue.db
- Turn ingest is fully async — zero blocking on the hot path
- Pending rows replay automatically on restart after a crash
- Per-row error marking with retry backoff
Background prefetch (fires at turn-end, ready for next turn-start):
- Context: profile + semantic query, deduped overlay block
- Dialectic synthesis: LLM-powered synthesis of what is known about the
user for the current query, with dynamic reasoning level based on
message length (low / medium / high)
- Agent self-model: persona, persistent instructions, working style
derived from AGENT-scoped memories
- All three run in parallel daemon threads, consumed atomically at
turn-start within the prefetch timeout budget
Agent identity seeding:
- SOUL.md content ingested as AGENT-scoped memories on startup
- Enables persistent cross-session agent self-knowledge
Shared file store tools (new):
- retaindb_upload_file: upload local file, optional auto-ingest
- retaindb_list_files: directory listing with prefix filter
- retaindb_read_file: fetch and decode text content
- retaindb_ingest_file: chunk + embed + extract memories from stored file
- retaindb_delete_file: soft delete
Built-in memory mirror:
- on_memory_write() now hits the correct write endpoint
Enable Hermes tool execution through the copilot-acp adapter by:
- Passing tool schemas and tool_choice into the ACP prompt text
- Instructing ACP backend to emit <tool_call>{...}</tool_call> blocks
- Parsing XML tool-call blocks and bare JSON fallback back into
Hermes-compatible SimpleNamespace tool call objects
- Setting finish_reason='tool_calls' when tool calls are extracted
- Cleaning tool-call markup from response text
Fix duplicate tool call extraction when both XML block and bare JSON
regexes matched the same content (XML blocks now take precedence).
Cherry-picked from PR #4536 by MestreY0d4-Uninter. Stripped heuristic
fallback system (auto-synthesized tool calls from prose) and
Portuguese-language patterns — tool execution should be model-decided,
not heuristic-guessed.
After restarting a service-managed gateway (systemd/launchd), the
stale-process sweep calls find_gateway_pids() which returns ALL gateway
PIDs via ps aux — including the one just spawned by the service manager.
The sweep kills it, leaving the user with a stopped gateway and a
confusing 'Restart manually' message.
Fix: add _get_service_pids() to query systemd MainPID and launchd PID
for active gateway services, then exclude those PIDs from the sweep.
Also add exclude_pids parameter to find_gateway_pids() and
kill_gateway_processes() so callers can skip known service-managed PIDs.
Adds 9 targeted tests covering:
- _get_service_pids() for systemd, launchd, empty, and zero-PID cases
- find_gateway_pids() exclude_pids filtering
- cmd_update integration: service PID not killed after restart
- cmd_update integration: manual PID killed while service PID preserved
Cron agents were burning iterations trying to use send_message (which is
disabled via messaging toolset) because their prompts said things like
'send the report to Telegram'. The scheduler handles delivery
automatically via the deliver setting, but nothing told the agent that.
Add a delivery guidance hint to _build_job_prompt alongside the existing
[SILENT] hint: tells agents their final response is auto-delivered and
they should NOT use send_message.
Before: only [SILENT] suppression hint
After: delivery guidance ('do NOT use send_message') + [SILENT] hint
Port the gateway's inactivity-based timeout pattern (PR #5389) to the
cron scheduler. The agent can now run for hours if it's actively calling
tools or receiving stream tokens — only genuine inactivity (no activity
for HERMES_CRON_TIMEOUT seconds, default 600s) triggers a timeout.
This fixes the Sunday PR scouts (openclaw, nanoclaw, ironclaw) which
all hit the hard 600s wall-clock limit while actively working.
Changes:
- Replace flat future.result(timeout=N) with a polling loop that checks
agent.get_activity_summary() every 5s (same pattern as gateway)
- Timeout error now includes diagnostic info: last activity description,
idle duration, current tool, iteration count
- HERMES_CRON_TIMEOUT=0 means unlimited (no timeout)
- Move sys.path.insert before repo-level imports to fix
ModuleNotFoundError for hermes_time on stale gateway processes
- Add time import needed by the polling loop
- Add 9 tests covering active/idle/unlimited/env-var/diagnostic scenarios
- Rename per-LLM-call hooks from pre_llm_request/post_llm_request for clarity vs pre_llm_call
- Emit summary kwargs only (counts, usage dict from normalize_usage); keep env_var_enabled for HERMES_DUMP_REQUESTS
- Add is_truthy_value/env_var_enabled to utils; wire hermes_cli.plugins._env_enabled through it
- Update Langfuse local setup doc; add scripts/langfuse_smoketest.py and optional ~/.hermes plugin tests
Made-with: Cursor
Add validate_config_structure() that catches common config.yaml mistakes:
- custom_providers as dict instead of list (missing '-' in YAML)
- fallback_model accidentally nested inside another section
- custom_providers entries missing required fields (name, base_url)
- Missing model section when custom_providers is configured
- Root-level keys that look like misplaced custom_providers fields
Surface these diagnostics at three levels:
1. Startup: print_config_warnings() runs at CLI and gateway module load,
so users see issues before hitting cryptic errors
2. Error time: 'Unknown provider' errors in auth.py and model_switch.py
now include config diagnostics with fix suggestions
3. Doctor: 'hermes doctor' shows a Config Structure section with all
issues and fix hints
Also adds a warning log in runtime_provider.py when custom_providers
is a dict (previously returned None silently).
Motivated by a Discord user who had malformed custom_providers YAML
and got only 'Unknown Provider' with no guidance on what was wrong.
17 new tests covering all validation paths.
Consolidated salvage from PRs #5301 (qaqcvc), #5339 (lance0),
#5058 and #5098 (maymuneth).
Mem0 API v2 compatibility (#5301):
- All reads use filters={user_id: ...} instead of bare user_id= kwarg
- All writes use filters with user_id + agent_id for attribution
- Response unwrapping for v2 dict format {results: [...]}
- Split _read_filters() vs _write_filters() — reads are user-scoped
only for cross-session recall, writes include agent_id
- Preserved 'hermes-user' default (no breaking change for existing users)
- Omitted run_id scoping from #5301 — cross-session memory is Mem0's
core value, session-scoping reads would defeat that purpose
Memory prefetch context fencing (#5339):
- Wraps prefetched memory in <memory-context> fenced blocks with system
note marking content as recalled context, NOT user input
- Sanitizes provider output to strip fence-escape sequences, preventing
injection where memory content breaks out of the fence
- API-call-time only — never persisted to session history
Secret redaction (#5058, #5098):
- Added prefix patterns for Groq (gsk_), Matrix (syt_), RetainDB
(retaindb_), Hindsight (hsk-), Mem0 (mem0_), ByteRover (brv_)
All 35 subprocess.run() calls in hermes_cli/gateway.py lacked timeout
parameters. If systemctl, launchctl, loginctl, wmic, or ps blocks,
hermes gateway start/stop/restart/status/install/uninstall hangs
indefinitely with no feedback.
Timeouts tiered by operation type:
- 10s: instant queries (is-active, status, list, ps, tail, journalctl)
- 30s: fast lifecycle (daemon-reload, enable, start, bootstrap, kickstart)
- 90s: graceful shutdown (stop, restart, bootout, kickstart -k) — exceeds
our TimeoutStopSec=60 to avoid premature timeout during shutdown
Special handling: _is_service_running() and launchd_status() catch
TimeoutExpired and treat it as not-running/not-loaded, consistent with
how non-zero return codes are already handled.
Inspired by PR #3732 (dlkakbs) and issue #4057 (SHL0MS).
Reimplemented on current main which has significantly changed launchctl
handling (bootout/bootstrap/kickstart vs legacy load/unload/start/stop).
The _login_nous() call site was pre-filling portal_base_url,
inference_base_url, client_id, and scope with pconfig defaults before
passing them to _nous_device_code_login(). Since pconfig defaults are
always truthy, the env var checks inside the function (HERMES_PORTAL_BASE_URL,
NOUS_PORTAL_BASE_URL, NOUS_INFERENCE_BASE_URL) could never take effect.
Fix: pass None from the call site when no CLI flag is provided, letting
the function's own priority chain handle defaults correctly:
explicit CLI flag > env var > pconfig default.
Addresses the issue reported in PR #5397 by jquesnelle.
Display live per-million-token pricing from /v1/models when listing
models for OpenRouter or Nous Portal. Prices are shown in a
column-aligned table with decimal points vertically aligned for
easy comparison.
Pricing appears in three places:
- /provider slash command (table with In/Out headers)
- hermes model picker (aligned columns in both TerminalMenu and
numbered fallback)
Implementation:
- Add fetch_models_with_pricing() in models.py with per-base_url
module-level cache (one network call per endpoint per session)
- Add _format_price_per_mtok() with fixed 2-decimal formatting
- Add format_model_pricing_table() for terminal table display
- Add get_pricing_for_provider() convenience wrapper
- Update _prompt_model_selection() to accept optional pricing dict
- Wire pricing through _model_flow_openrouter/nous in main.py
- Update test mocks for new pricing parameter
Adds OPENAI_MODEL_EXECUTION_GUIDANCE — XML-tagged behavioral guidance
injected for GPT and Codex models alongside the existing tool-use
enforcement. Targets four specific failure modes:
- <tool_persistence>: retry on empty/partial results instead of giving up
- <prerequisite_checks>: do discovery/lookup before jumping to final action
- <verification>: check correctness/grounding/formatting before finalizing
- <missing_context>: use lookup tools instead of hallucinating
Follows the same injection pattern as GOOGLE_MODEL_OPERATIONAL_GUIDANCE
for Gemini/Gemma models. Inspired by OpenClaw PR #38953 and OpenAI's
GPT-5.4 prompting guide patterns.
Manim's Pango text renderer produces broken kerning with proportional
fonts (Helvetica, Inter, SF Pro, Arial) at all sizes and resolutions.
Characters overlap and spacing is inconsistent. This is a fundamental
Pango limitation.
Changes:
- Recommend Menlo (monospace) as the default font for ALL text
- Proportional fonts only acceptable for large titles (>=48, short strings)
- Set minimum font_size=18 for readability
- Update all code examples to use MONO='Menlo' pattern
- Remove Inter/Helvetica/SF Pro from recommendations
Threads (Telegram forum topics, Discord threads, Slack threads) now default
to shared sessions where all participants see the same conversation. This is
the expected UX for threaded conversations where multiple users @mention the
bot and interact collaboratively.
Changes:
- build_session_key(): when thread_id is present, user_id is no longer
appended to the session key (threads are shared by default)
- New config: thread_sessions_per_user (default: false) — opt-in to restore
per-user isolation in threads if needed
- Sender attribution: messages in shared threads are prefixed with
[sender name] so the agent can tell participants apart
- System prompt: shared threads show 'Multi-user thread' note instead of
a per-turn User line (avoids busting prompt cache)
- Wired through all callers: gateway/run.py, base.py, telegram.py, feishu.py
- Regular group messages (no thread) remain per-user isolated (unchanged)
- DM threads are unaffected (they have their own keying logic)
Closes community request from demontut_ re: thread-based shared sessions.
The gateway previously used a hard wall-clock asyncio.wait_for timeout
that killed agents after a fixed duration regardless of activity. This
punished legitimate long-running tasks (subagent delegation, reasoning
models, multi-step research).
Now uses an inactivity-based polling loop that checks the agent's
built-in activity tracker (get_activity_summary) every 5 seconds. The
agent can run indefinitely as long as it's actively calling tools or
receiving API responses. Only fires when the agent has been completely
idle for the configured duration.
Changes:
- Replace asyncio.wait_for with asyncio.wait poll loop checking
agent idle time via get_activity_summary()
- Add agent.gateway_timeout config.yaml key (default 1800s, 0=unlimited)
- Update stale session eviction to use agent idle time instead of
pure wall-clock (prevents evicting active long-running tasks)
- Preserve all existing diagnostic logging and user-facing context
Inspired by PR #4864 (Mibayy) and issue #4815 (BongSuCHOI).
Reimplemented on current main using existing _touch_activity()
infrastructure rather than a parallel tracker.
Add full Configuration Reference section to Discord docs covering all
env vars (10 total) and config.yaml options with types, defaults, and
detailed explanations. Previously undocumented: DISCORD_AUTO_THREAD,
DISCORD_ALLOW_BOTS, DISCORD_REACTIONS, discord.auto_thread,
discord.reactions, display.tool_progress, display.tool_progress_command.
Cleaned up manual setup flow to show only required vars.
Nous Research Hermes 3 & 4 models lack tool-calling capabilities and
are not suitable for agent workflows. Add a warning that fires in two
places:
- /model switch (CLI + gateway) via model_switch.py warning_message
- CLI session startup banner when the configured model contains 'hermes'
Both paths suggest switching to an agentic model (Claude, GPT, Gemini,
DeepSeek, etc.).
Reject "." as a plugin name — it resolves to the plugins directory
itself, which in force-install flows causes shutil.rmtree to wipe the
entire plugins tree.
- reject "." early with a clear error message
- explicit check for target == plugins_resolved (raise instead of allow)
- switch boundary check from string-prefix to Path.relative_to()
- add regression tests for sanitizer + install flow
Co-authored-by: Dusk1e <yusufalweshdemir@gmail.com>
Agent activity tracking:
- Add _last_activity_ts, _last_activity_desc, _current_tool to AIAgent
- Touch activity on: API call start/complete, tool start/complete,
first stream chunk, streaming request start
- Public get_activity_summary() method for external consumers
Gateway timeout diagnostics:
- Timeout message now includes what the agent was doing when killed:
actively working vs stuck on a tool vs waiting on API response
- Includes iteration count, last activity description, seconds since
last activity — users can distinguish legitimate long tasks from
genuine hangs
- 'Still working' notifications now show iteration count and current
tool instead of just elapsed time
- Stale lock eviction logs include agent activity state for debugging
Stream stale timeout:
- _emit_status when stale stream is detected (was log-only) — gateway
users now see 'No response from provider for Ns' with model and
context size
- Improved logger.warning with model name and estimated context size
Error path notifications (gateway-visible via _emit_status):
- Context compression attempts now use _emit_status (was _vprint only)
- Non-retryable client errors emit summary before aborting
- Max retry exhaustion emits error summary (was _vprint only)
- Rate limit exhaustion emits specific rate-limit message
These were all CLI-visible but silent to gateway users, which is why
people on Telegram/Discord saw generic 'request failed' messages
without explanation.
Production pipeline for creating 3Blue1Brown-style animated videos
using Manim Community Edition. The agent handles the full workflow:
creative planning, Python code generation, rendering, scene stitching,
audio muxing, and iterative refinement.
Modes: concept explainers, equation derivations, algorithm
visualizations, data stories, architecture diagrams, paper explainers,
3D visualizations.
9 reference files, setup verification script, README.
All API references verified against ManimCommunity/manim source.
Subagent sessions spawned by delegate_task were created with
parent_session_id=NULL and source=cli, making them indistinguishable
from user sessions in hermes sessions list and /resume.
Changes:
- delegate_tool.py: pass parent_agent.session_id to child agent
- run_agent.py: accept parent_session_id param, pass to create_session
- hermes_state.py list_sessions_rich: filter parent_session_id IS NULL
by default (opt-in include_children=True for callers that need them)
- hermes_state.py delete_session: delete child sessions first (FK)
- hermes_state.py prune_sessions: delete children before parents (FK)
session_search already handles parent_session_id correctly — child
sessions are filtered from recent list and resolved to parent root
in full-text search results.
Fixes#5122
Before launching an MCP server via npx/uvx, queries the OSV (Open Source
Vulnerabilities) API to check if the package has known malware advisories
(MAL-* IDs). Regular CVEs are ignored — only confirmed malware is blocked.
- Free, public API (Google-maintained), ~300ms per query
- Runs once per MCP server launch, inside _run_stdio() before subprocess spawn
- Parallel with other MCP servers (asyncio.gather already in place)
- Fail-open: network errors, timeouts, unrecognized commands → allow
- Parses npm (scoped @scope/pkg@version) and PyPI (name[extras]==version)
Inspired by Block/goose extension malware check.
Add optional 'expression' parameter to browser_console that evaluates
JavaScript in the page context (like DevTools console). Returns structured
results with auto-JSON parsing.
No new tool — extends the existing browser_console schema with ~20 tokens
of overhead instead of adding a 12th browser tool.
Both backends supported:
- Browserbase: uses agent-browser 'eval' command via CDP
- Camofox: uses /tabs/{tab_id}/eval endpoint with graceful degradation
E2E verified: string eval, number eval, structured JSON, DOM manipulation,
error handling, and original console-output mode all working.
Only request the privileged members intent when DISCORD_ALLOWED_USERS includes non-numeric entries that need username resolution. Also release the Discord token lock when startup fails so retries and restarts are not blocked by a stale lock.\n\nAdds regression tests for conditional intents and startup lock cleanup.
Existing honcho.json configs without an explicit observationMode now
default to 'unified' (the old default) instead of being silently
switched to 'directional'. New installations get 'directional' as
the new default.
Detection: _explicitly_configured (host block exists or enabled=true)
signals an existing config. When true and no observationMode is set
anywhere in the config chain, falls back to 'unified'. When false
(fresh install), uses 'directional'.
Users who explicitly set observationMode or granular observation
booleans are unaffected — explicit config always wins.
5 new tests covering all migration paths.
discover_plugin_cli_commands() now reads memory.provider from config.yaml
and only loads CLI registration for the active provider. If no memory
provider is set, no plugin CLI commands appear in the CLI.
Only one memory provider can be active at a time — at most one set of
plugin CLI commands is registered. Users who haven't configured honcho
(or any memory provider) won't see 'hermes honcho' in their help output.
Adds test for inactive provider returning empty results.
Add ctx.register_cli_command() to PluginContext for general plugins and
discover_plugin_cli_commands() to memory plugin system. Plugins that
provide a register_cli(subparser) function in their cli.py are
automatically discovered during argparse setup and wired into the CLI.
- Remove 95-line hardcoded honcho argparse block from main.py
- Move honcho subcommand tree into plugins/memory/honcho/cli.py
via register_cli() convention
- hermes honcho setup now redirects to hermes memory setup (unified path)
- hermes honcho (no subcommand) shows status instead of running setup
- Future plugins can register CLI commands without touching core files
- PluginManager stores CLI registrations in _cli_commands dict
- Memory plugin discovery scans cli.py for register_cli at argparse time
main.py: -102 lines of hardcoded plugin routing
As the agent navigates into subdirectories via tool calls (read_file,
terminal, search_files, etc.), automatically discover and load project
context files (AGENTS.md, CLAUDE.md, .cursorrules) from those directories.
Previously, context files were only loaded from the CWD at session start.
If the agent moved into backend/, frontend/, or any subdirectory with its
own AGENTS.md, those instructions were never seen.
Now, SubdirectoryHintTracker watches tool call arguments for file paths
and shell commands, resolves directories, and loads hint files on first
access. Discovered hints are appended to the tool result so the model
gets relevant context at the moment it starts working in a new area —
without modifying the system prompt (preserving prompt caching).
Features:
- Extracts paths from tool args (path, workdir) and shell commands
- Loads AGENTS.md, CLAUDE.md, .cursorrules (first match per directory)
- Deduplicates — each directory loaded at most once per session
- Ignores paths outside the working directory
- Truncates large hint files at 8K chars
- Works on both sequential and concurrent tool execution paths
Inspired by Block/goose SubdirectoryHintTracker.
Plain functions imported as class attributes in APIServerAdapter get
auto-bound as methods via Python's descriptor protocol. Every
self._cron_*() call injected self as the first positional argument,
causing TypeError on all 8 cron API endpoints at runtime.
Wrap each import with staticmethod() so self._cron_*() calls dispatch
correctly without modifying any call sites.
Co-authored-by: teknium <teknium@nousresearch.com>
Add POST /v1/runs to start async agent runs and GET /v1/runs/{run_id}/events
for SSE streaming of typed lifecycle events (tool.started, tool.completed,
message.delta, reasoning.available, run.completed, run.failed).
Changes the internal tool_progress_callback signature from positional
(tool_name, preview, args) to event-type-first
(event_type, tool_name, preview, args, **kwargs). Existing consumers
filter on event_type and remain backward-compatible.
Adds concurrency limit (_MAX_CONCURRENT_RUNS=10) and orphaned run sweep.
Fixes logic inversion in cli.py _on_tool_progress where the original PR
would have displayed internal tools instead of non-internal ones.
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
Allow delegate_task to specify custom ACP transport per-task, so a parent
running via CLI/Discord/Telegram can spawn child agents over ACP
(e.g. claude --acp --stdio). Follows the existing override_provider pattern.
Supports per-task granularity in batch mode.
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
Send AvailableCommandsUpdate on session create/load/resume/fork so ACP
clients (Zed, etc.) can discover /help, /model, /tools, /compact, etc.
Also rewrites /compact to use agent._compress_context() properly with
token estimation and session DB isolation.
Co-authored-by: NexVeridian <NexVeridian@users.noreply.github.com>
Route AIAgent print output to stderr via _print_fn for ACP stdio sessions.
Gate quiet-mode spinner startup on _should_start_quiet_spinner() so JSON-RPC
on stdout isn't corrupted. Child agents inherit the redirect.
Co-authored-by: Git-on-my-level <Git-on-my-level@users.noreply.github.com>
Straight rename to match the 0.9.0 API where AuthMethod was split into
AuthMethodAgent, AuthMethodEnvVar, AuthMethodTerminal. Bump pin to >=0.9.0,<1.0.
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
Removing an env-seeded credential (e.g. from OPENROUTER_API_KEY) via
'hermes auth' previously had no lasting effect -- the entry was deleted
from auth.json but load_pool() re-created it on the next call because
the env var was still set.
Now auth_remove_command detects env-sourced entries (source starts with
'env:') and calls the new remove_env_value() to strip the var from both
.env and os.environ, preventing re-seeding.
Changes:
- hermes_cli/config.py: add remove_env_value() -- atomically removes a
line from .env and pops from os.environ
- hermes_cli/auth_commands.py: auth_remove_command clears env var when
removing an env-seeded pool entry
- 8 new tests covering remove_env_value and the full zombie-credential
lifecycle (remove -> reload -> stays gone)
Previously, typing a /command that isn't a built-in, plugin, or skill
would silently fall through to the LLM as plain text. The model often
interprets it as a loose instruction and invents unrelated tool calls —
e.g. a stray /claude_code slipped through and the model fabricated a
delegate_task invocation that got stuck in an OAuth loop.
Now we check GATEWAY_KNOWN_COMMANDS after the skill / plugin /
unavailable-skill lookups and return an actionable message pointing the
user at /commands. The user gets feedback, and the agent doesn't waste
a round-trip guessing what /foo-bar was supposed to mean.
Telegram's Bot API disallows hyphens in command names, so
_build_telegram_menu registers /claude-code as /claude_code. When the
user taps it from autocomplete, the gateway dispatch did a direct
lookup against skill_cmds (keyed on the hyphenated form) and missed,
silently falling through to the LLM as plain text. The model would
then typically call delegate_task, spawning a Hermes subagent instead
of invoking the intended skill.
Normalize underscores to hyphens in skill and plugin command lookup,
matching the existing pattern in _check_unavailable_skill.
Telegram polling can inherit a stale webhook registration when a deployment
switches transport modes, which leaves getUpdates idle even though the gateway
starts cleanly. Outbound send also treats Telegram retry_after responses as
terminal errors, so brief flood control can drop tool progress and replies.
Constraint: Keep the PR narrowly scoped to upstream/main Telegram adapter behavior
Rejected: Port OpenClaw's broader polling supervisor and offset persistence | too broad for an isolated fix PR
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Polling mode should clear webhook state before starting getUpdates, and send-path retry logic must distinguish flood control from timeouts
Tested: uv run --extra dev pytest tests/gateway/test_telegram_* -q
Not-tested: Live Telegram webhook-to-polling migration and real Bot API 429 behavior
Replace the two-step stop/start restart with a single
launchctl kickstart -k call. When the gateway triggers a
restart from inside its own process tree, the old stop
command kills the shell before the start half is reached.
kickstart -k lets launchd handle the kill+restart atomically.
launchctl load/unload/start/stop are deprecated on macOS since 10.10
and fail silently on modern versions. This replaces them with the
current equivalents:
- load -> bootstrap gui/<uid> <plist>
- unload -> bootout gui/<uid>/<label>
- start -> kickstart gui/<uid>/<label>
- stop -> kill SIGTERM gui/<uid>/<label>
Adds _launchd_domain() helper returning the gui/<uid> target domain.
Updates test assertions to match the new command signatures.
Fixes#4820
When an agent was actively processing a message, /status sent via Telegram
(or any gateway) was queued as a pending interrupt instead of being dispatched
immediately. The base platform adapter's handle_message() only had special-case
bypass logic for /approve and /deny, so /status fell through to the default
interrupt path and was never processed as a system command.
Apply the same bypass pattern used by /approve//deny: detect cmd == 'status'
inside the active-session guard, dispatch directly to the message handler, and
send the response without touching session lifecycle or interrupt state.
Adds a regression test that verifies /status is dispatched and responded to
immediately even when _active_sessions contains an entry for the session.
The _session_expiry_watcher retried failed memory flushes forever
because exceptions were caught at debug level without setting
memory_flushed=True. Expired sessions with transient failures
(rate limits, network errors) would retry every 5 minutes
indefinitely, burning API quota and blocking gateway message
processing via 429 rate limit cascades.
Observed case: a March 19 session retried 28+ times over ~17 days,
causing repeated 429 errors that made Telegram unresponsive.
Add a per-session failure counter (_flush_failures) that gives up
after 3 consecutive attempts and marks the session as flushed to
break the loop.
The API server platform never passed fallback_model to AIAgent(),
so the fallback provider chain was always empty for requests through
the OpenAI-compatible endpoint. Load it via GatewayApp._load_fallback_model()
to match the behavior of Telegram/Discord/Slack platforms.
MCP server names (e.g. annas, libgen) are added to enabled_toolsets by
_get_platform_tools() but aren't registered in TOOLSETS until later when
_sync_mcp_toolsets() runs during tool discovery. The validation in
HermesCLI.__init__() fires before that, producing a false warning.
Fix: exclude configured MCP server names from the validation check.
CLI_CONFIG is already available at the call site, so no new imports needed.
Closes#5267 (alternative fix)
* feat: coerce tool call arguments to match JSON Schema types
LLMs frequently return numbers as strings ("42" instead of 42) and
booleans as strings ("true" instead of true). This causes silent
failures with MCP tools and any tool with strictly-typed parameters.
Added coerce_tool_args() in model_tools.py that runs before every tool
dispatch. For each argument, it checks the tool registry schema and
attempts safe coercion:
- "42" → 42 when schema says "type": "integer"
- "3.14" → 3.14 when schema says "type": "number"
- "true"/"false" → True/False when schema says "type": "boolean"
- Union types tried in order
- Original values preserved when coercion fails or is not applicable
Inspired by Block/goose tool argument coercion system.
* fix: accept reasoning-only responses without retries — set content to "(empty)"
Previously, when a model returned reasoning/thinking but no visible
content, we entered a 120-line retry/classify/compress/salvage cascade
that wasted 3+ API calls trying to "fix" the response. The model was
done thinking — retrying with the same input just burned money.
Now reasoning-only responses are accepted immediately:
- Reasoning stays in the `reasoning` field (semantically correct)
- Content set to "(empty)" — valid non-empty string every provider accepts
- No retries, no compression triggers, no salvage logic
- Session history contains "(empty)" not "" — prevents #2128 session
poisoning where empty assistant content caused prefill rejections
Removes ~120 lines, adds ~15. Saves 2-3 API calls per reasoning-only
response. Fixes#2128.
Cherry-picked from PR #4338 by nepenth, resolved against current main.
Adds:
- Processing lifecycle reactions (eyes/checkmark/cross) via MATRIX_REACTIONS env
- Reaction send/receive with ReactionEvent + UnknownEvent fallback for older nio
- Fire-and-forget read receipts on text and media messages
- Message redaction, room history fetch, room creation, user invite
- Presence status control (online/offline/unavailable)
- Emote (/me) and notice message types with HTML rendering
- XSS-hardened markdown-to-HTML converter (strips raw HTML preprocessor,
sanitizes link URLs against javascript:/data:/vbscript: schemes)
- Comprehensive regex fallback with full block/inline markdown support
- Markdown>=3.6 added to [matrix] extras in pyproject.toml
- 46 new tests covering all features and security hardening
- Firecrawl scrape: 60s timeout via asyncio.wait_for + to_thread
(previously could hang indefinitely)
- Summarizer retries: 6 → 2 (one retry), reads timeout from
auxiliary.web_extract.timeout config (default 360s / 6min)
- Summarizer failure: falls back to truncated raw content (~5000 chars)
instead of useless error message, with guidance about config/model
- Config default: auxiliary.web_extract.timeout bumped 30 → 360s
for local model compatibility
Addresses Discord reports of agent hanging during web_extract.
Salvaged from PRs #3767 (chalkers), #5236 (ygd58), #2641 (buntingszn).
Three improvements to Matrix cron delivery:
1. Live adapter path: when the gateway is running, cron delivery now uses
the connected MatrixAdapter via run_coroutine_threadsafe instead of
the standalone HTTP PUT. This enables delivery to E2EE rooms where
the raw HTTP path cannot encrypt. Falls back to standalone on failure.
Threads adapters + event loop from gateway -> cron ticker -> tick() ->
_deliver_result(). (from #3767)
2. HTML formatted_body: _send_matrix() now converts markdown to HTML
using the optional markdown library, with h1-h6 to bold conversion
for Element X compatibility. Falls back to plain text if markdown
is not installed. Also adds random bytes to txn_id to prevent
collisions. (from #5236)
3. Origin fallback: when deliver="origin" but origin is null (jobs
created via API/scripts), falls back to HOME_CHANNEL env vars
in order: matrix -> telegram -> discord -> slack. (from #2641)
Cherry-picked run.py portion from PR #3495 by dlkakbs.
When Matrix sends non-image files (text, YAML, JSON, etc.), the MIME
type may be empty or application/octet-stream. Falls back to
extension-based detection so text files are properly injected into
agent context.
Cherry-picked from PR #3140 by chalkers, resolved against current main.
Registers RoomEncryptedImage/Audio/Video/File callbacks, decrypts
attachments via nio.crypto, caches all media types (images, audio,
documents), prevents ciphertext URL fallback for encrypted media.
Unifies the separate voice-message download into the main cache block.
Preserves main's MATRIX_REQUIRE_MENTION, auto-thread, and mention
stripping features. Includes 355 lines of encrypted media tests.
Cherry-picked from PR #3695 by binhnt92.
Matrix _sync_loop() and Mattermost _ws_loop() were retrying all errors
forever, including permanent auth failures (expired tokens, revoked
access). Now detects M_UNKNOWN_TOKEN, M_FORBIDDEN, 401/403 and stops
instead of spinning. Includes 216 lines of tests.
Cherry-picked from PR #4343 by pjay-io.
Synapse rejects chunked uploads without Content-Length. Adding
filesize=len(data) ensures the upload includes proper sizing.
Cherry-picked from PR #5136 by thakoreh.
setup_gateway() uses shutil.which('uv') at line 2126 but shutil was
never imported at module level, causing NameError during Matrix E2EE
auto-install. Adds top-level import and regression test.
- Add OLLAMA_API_KEY to credential resolution chain for ollama.com endpoints
- Update requested_provider/_explicit_api_key/_explicit_base_url after /model
switch so _ensure_runtime_credentials() doesn't revert the switch
- Pass base_url/api_key from fallback config to resolve_provider_client()
- Add DirectAlias system: user-configurable model_aliases in config.yaml
checked before catalog resolution, with reverse lookup by model ID
- Add /model tab completion showing aliases with provider metadata
Co-authored-by: LucidPaths <LucidPaths@users.noreply.github.com>
LLMs frequently return numbers as strings ("42" instead of 42) and
booleans as strings ("true" instead of true). This causes silent
failures with MCP tools and any tool with strictly-typed parameters.
Added coerce_tool_args() in model_tools.py that runs before every tool
dispatch. For each argument, it checks the tool registry schema and
attempts safe coercion:
- "42" → 42 when schema says "type": "integer"
- "3.14" → 3.14 when schema says "type": "number"
- "true"/"false" → True/False when schema says "type": "boolean"
- Union types tried in order
- Original values preserved when coercion fails or is not applicable
Inspired by Block/goose tool argument coercion system.
Users hitting the 10-minute default during complex tool chains.
Bumps both the execution cap and stale-lock eviction timeout.
Still overridable via HERMES_AGENT_TIMEOUT env var (0 = unlimited).
Previously, tool results exceeding 100K characters were silently chopped
with only a '[Truncated]' notice — the rest of the content was lost
permanently. The model had no way to access the truncated portion.
Now, oversized results are written to HERMES_HOME/cache/tool_responses/
and the model receives:
- A 1,500-char head preview for immediate context
- The file path so it can use read_file/search_files on the full output
This preserves the context window protection (inline content stays small)
while making the full data recoverable. Falls back to the old destructive
truncation if the file write fails.
Inspired by Block/goose's large response handler pattern.
Index codebases with GitNexus and serve an interactive knowledge
graph web UI via Cloudflare tunnel. No sudo required.
Includes:
- Full setup/build/serve/tunnel pipeline
- Zero-dependency Node.js reverse proxy script
- Pitfalls section covering cloudflared config conflicts,
Vite allowedHosts, Claude Code artifact cleanup, and
browser memory limits for large repos
* feat(gateway): live-stream /update output + forward interactive prompts
Adds real-time output streaming and interactive prompt forwarding for
the gateway /update command, so users on Telegram/Discord/etc see the
full update progress and can respond to prompts (stash restore, config
migration) without needing terminal access.
Changes:
hermes_cli/main.py:
- Add --gateway flag to 'hermes update' argparse
- Add _gateway_prompt() file-based IPC function that writes
.update_prompt.json and polls for .update_response
- Modify _restore_stashed_changes() to accept optional input_fn
parameter for gateway mode prompt forwarding
- cmd_update() uses _gateway_prompt when --gateway is set, enabling
interactive stash restore and config migration prompts
gateway/run.py:
- _handle_update_command: spawn with --gateway flag and
PYTHONUNBUFFERED=1 for real-time output flushing
- Store session_key in .update_pending.json for cross-restart
session matching
- Add _update_prompt_pending dict to track sessions awaiting
update prompt responses
- Replace _watch_for_update_completion with _watch_update_progress:
streams output chunks every ~4s, detects .update_prompt.json and
forwards prompts to the user, handles completion/failure/timeout
- Add update prompt interception in _handle_message: when a prompt
is pending, the user's next message is written to .update_response
instead of being processed normally
- Preserve _send_update_notification as legacy fallback for
post-restart cases where adapter isn't available yet
File-based IPC protocol:
- .update_prompt.json: written by update process with prompt text,
default value, and unique ID
- .update_response: written by gateway with user's answer
- .update_output.txt: existing, now streamed in real-time
- .update_exit_code: existing completion marker
Tests: 16 new tests covering _gateway_prompt IPC, output streaming,
prompt detection/forwarding, message interception, and cleanup.
* feat: interactive buttons for update prompts (Telegram + Discord)
Telegram: Inline keyboard with ✓ Yes / ✗ No buttons. Clicking a button
answers the callback query, edits the message to show the choice, and
writes .update_response directly. CallbackQueryHandler registered on
the update_prompt: prefix.
Discord: UpdatePromptView (discord.ui.View) with green Yes / red No
buttons. Follows the ExecApprovalView pattern — auth check, embed color
update, disabled-after-click. Writes .update_response on click.
All platforms: /approve and /deny (and /yes, /no) now work as shorthand
for yes/no when an update prompt is pending. The text fallback message
instructs users to use these commands. Raw message interception still
works as a fallback for non-command responses.
Gateway watcher checks adapter for send_update_prompt method (class-level
check to avoid MagicMock false positives) and falls back to text prompt
with /approve instructions when unavailable.
* fix: block /update on non-messaging platforms (API, webhooks, ACP)
Add _UPDATE_ALLOWED_PLATFORMS frozenset that explicitly lists messaging
platforms where /update is permitted. API server, webhook, and ACP
platforms get a clear error directing them to run hermes update from
the terminal instead.
ACP and API server already don't reach _handle_message (separate
codepaths), and webhooks have distinct session keys that can't collide
with messaging sessions. This guard is belt-and-suspenders.
Resolve exact label matches before treating digit-only input as a positional index so destructive auth removal does not mis-target credentials named with numeric labels.
Constraint: The CLI remove path must keep supporting existing index-based usage while adding safer label targeting
Rejected: Ban numeric labels | labels are free-form and existing users may already rely on them
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: When a destructive command accepts multiple identifier forms, prefer exact identity matches before fallback parsing heuristics
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (273 passed); py_compile on changed Python files
Not-tested: Full repository pytest suite
Persist structured exhaustion metadata from provider errors, use explicit reset timestamps when available, and expose label-based credential targeting in the auth CLI. This keeps long-lived Codex cooldowns from being misreported as one-hour waits and avoids forcing operators to manage entries by list position alone.
Constraint: Existing credential pool JSON needs to remain backward compatible with stored entries that only record status code and timestamp
Constraint: Runtime recovery must keep the existing retry-then-rotate semantics for 429s while enriching pool state with provider metadata
Rejected: Add a separate credential scheduler subsystem | too large for the Hermes pool architecture and unnecessary for this fix
Rejected: Only change CLI formatting | would leave runtime rotation blind to resets_at and preserve the serial-failure behavior
Confidence: high
Scope-risk: moderate
Reversibility: clean
Directive: Preserve structured rate-limit metadata when new providers expose reset hints; do not collapse back to status-code-only exhaustion tracking
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (272 passed); py_compile on changed Python files; hermes -w auth list/remove smoke test with temporary HERMES_HOME
Not-tested: Full repository pytest suite, broader gateway/integration flows outside the touched auth and pool paths
Updates _sanitize_tool_calls_for_strict_api docstring to explicitly
mention Fireworks alongside Mistral as strict APIs requiring sanitization.
Also documents the specific fields that are stripped (call_id, response_item_id).
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. Updates comment to mention Fireworks alongside Mistral as strict
APIs requiring tool_call field sanitization.
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. Ensures summary generation works correctly with Fireworks and
other strict APIs that reject unknown tool_call fields.
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. This ensures tool_calls are sanitized for all strict APIs, not
just Mistral. Prevents 400 errors from Fireworks and other providers.
Adds a centralized method to determine when tool_calls need sanitization
for strict APIs. Returns True for all APIs except codex_responses mode.
This prevents 400 errors from providers like Fireworks that reject unknown
fields (call_id, response_item_id) in tool_calls.
Add 5 regression tests from PR #4476 (gnanam1990) to prevent re-introducing
the IGNORECASE bug that caused lowercase Python/TypeScript variable assignments
to be incorrectly redacted as secrets. The core fix landed in 6367e1c4.
Tests cover:
- Lowercase Python variable with 'token' in name
- Lowercase Python variable with 'api_key' in name
- TypeScript 'await' not treated as secret value
- TypeScript 'secret' variable assignment
- 'export' prefix preserved for uppercase env vars
Co-authored-by: gnanam1990 <gnanam1990@users.noreply.github.com>
Expands the claude-code skill with content from official docs and community
cheat sheets that was missing from v2.0:
Slash commands: /cost, /btw, /plan, /loop, /batch, /security-review,
/resume, /effort (with auto level), /mcp, /release-notes, /voice details
Keyboard shortcuts: Alt+P (model), Alt+T (thinking), Alt+O (fast mode),
Ctrl+V (paste image), Ctrl+O (transcript), Ctrl+G (external editor)
Ultrathink keyword for max reasoning on a specific turn
Rules directory: .claude/rules/*.md and ~/.claude/rules/*.md
Auto-memory: ~/.claude/projects/<proj>/memory/ (25KB/200 lines limit)
Environment variables: CLAUDE_CODE_EFFORT_LEVEL, MAX_THINKING_TOKENS,
CLAUDE_CODE_NO_FLICKER, CLAUDE_CODE_SUBPROCESS_ENV_SCRUB
MCP limits: 2KB tool desc cap, maxResultSizeChars 500K, transport types
Reorganized slash commands into Session/Development/Configuration groups
Reorganized keyboard shortcuts into Controls/Toggles/Multiline groups
TimedOut is a subclass of NetworkError in python-telegram-bot. The
inner retry loop in send() and the outer _send_with_retry() in base.py
both treated it as a transient connection error and retried — but
send_message is not idempotent. When the request reaches Telegram but
the HTTP response times out, the message is already delivered. Retrying
sends duplicates. Worst case: up to 9 copies (inner 3x × outer 3x).
Inner loop (telegram.py):
- Import TimedOut separately, isinstance-check before generic
NetworkError retry (same pattern as BadRequest carve-out from #3390)
- Re-raise immediately — no retry
- Mark as retryable=False in outer exception handler
Outer loop (base.py):
- Remove 'timeout', 'timed out', 'readtimeout', 'writetimeout' from
_RETRYABLE_ERROR_PATTERNS (read/write timeouts are delivery-ambiguous)
- Add 'connecttimeout' (safe — connection never established)
- Keep 'network' (other platforms still need it)
- Add _is_timeout_error() + early return to prevent plain-text fallback
on timeout errors (would also cause duplicate delivery)
Connection errors (ConnectionReset, ConnectError, etc.) are still
retried — these fail before the request reaches the server.
Credit: tmdgusya (PR #3899), barun1997 (PR #3904) for identifying the
bug and proposing fixes.
Closes#3899, closes#3904.
When streaming is enabled, the GatewayStreamConsumer sends raw text
chunks directly to the platform without post-processing. This causes
MEDIA:/path/to/file tags and [[audio_as_voice]] directives to appear
as visible text in the user's chat instead of being stripped.
The non-streaming path already handles this correctly via
extract_media() in base.py, but the streaming path was missing
equivalent cleanup.
Add _clean_for_display() to GatewayStreamConsumer that strips MEDIA:
tags and internal markers before any text reaches the platform. The
actual media file delivery is unaffected — _deliver_media_from_response()
in gateway/run.py still extracts files from the agent's final_response
(separate from the stream consumer's display text).
Reported by Ao [FotM] on Discord.
Major rewrite of the claude-code orchestration skill from 94 to 460 lines.
Based on official docs research, community guides, and live experimentation.
Key additions:
- Two orchestration modes: Print mode (-p) vs Interactive PTY via tmux
- Detailed PTY dialog handling (trust + permissions bypass patterns)
- Print mode deep dive: JSON output, piped input, session resumption,
--json-schema, --bare mode for CI
- Complete flag reference (20+ flags organized by category)
- Interactive session patterns with tmux send-keys/capture-pane
- Claude's slash commands and keyboard shortcuts reference
- CLAUDE.md, hooks, custom subagents, MCP, custom commands docs
- Cost/performance tips (effort levels, budget caps, context mgmt)
- 10 specific pitfalls discovered through live testing
- 10 rules for Hermes agents orchestrating Claude Code
Relative script paths resolved against HERMES_HOME/scripts/ were not
validated to stay within that directory. Paths like '../../etc/passwd'
could escape and be executed as Python.
Fix: resolve the path and verify it stays within scripts_dir using
Path.relative_to(). Also apply redact_sensitive_text() to script stdout
before LLM injection — same pattern as execute_code sandbox output.
Cherry-picked from PR #5093 by memosr (fixes 1 and 3; absolute path
restriction dropped as too restrictive for the feature's design intent).
When commands like grep, diff, test, or find return non-zero exit codes
that aren't actual errors (grep 1 = no matches, diff 1 = files differ),
the model wastes turns investigating non-problems. This adds an
exit_code_meaning field to the terminal JSON result that explains
informational exit codes, so the agent can move on instead of debugging.
Covers grep/rg/ag/ack (no matches), diff (files differ), find (partial
access), test/[ (condition false), curl (timeouts, DNS, HTTP errors),
and git (context-dependent). Correctly extracts the last command from
pipelines and chains, strips full paths and env var assignments.
The exit_code field itself is unchanged — this is purely additive context.
Plugin context from pre_llm_call hooks was injected into the system
prompt, breaking the prompt cache prefix every turn when content
changed (typical for memory plugins). Now all plugin context goes
into the current turn's user message — the system prompt stays
identical across turns, preserving cached tokens.
The system prompt is reserved for Hermes internals. Plugins
contribute context alongside the user's input.
Also adds comprehensive documentation for all 6 plugin hooks:
pre_tool_call, post_tool_call, pre_llm_call, post_llm_call,
on_session_start, on_session_end — each with full callback
signatures, parameter tables, firing conditions, and examples.
Supersedes #5138 which identified the same cache-busting bug
and proposed an uncached system suffix approach. This fix goes
further by removing system prompt injection entirely.
Co-identified-by: OutThisLife (PR #5138)
When --yolo, -w, -s, -r, -c, and --pass-session-id exist on both the parent
parser and the 'chat' subparser with explicit defaults (default=False or
default=None), argparse's subparser initialization overwrites the parent's
parsed value. So 'hermes --yolo chat' silently drops --yolo, making it appear
broken.
Fix: use default=argparse.SUPPRESS on all duplicated arguments in the chat
subparser. SUPPRESS means 'don't set this attribute if the user didn't
explicitly provide it', so the parent parser's value survives through.
Affected flags: --yolo, --worktree/-w, --skills/-s, --pass-session-id,
--resume/-r, --continue/-c.
Adds 15 regression tests covering flag-before-subcommand, flag-after-subcommand,
no-subcommand, and env var propagation scenarios.
When a dangerous command is approved (gateway, CLI, or smart approval),
the terminal tool now includes an 'approval' field in the result JSON
so the model knows approval was requested and granted. Previously the
model only saw normal command output with no indication that approval
happened, causing it to hallucinate that the approval system didn't fire.
Changes:
- approval.py: Return user_approved/description in all 3 approval paths
(gateway blocking, CLI interactive, smart approval)
- terminal_tool.py: Capture approval metadata and inject into both
foreground and background command results
Move mention stripping outside the `if not is_dm` guard so mentions
are stripped in DMs too. Remove the bare-mention early return so a
message containing only a mention passes through as empty string,
matching Discord's behavior.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Bring Matrix feature parity with Discord by adding mention gating and
auto-threading. Both default to true, matching Discord behavior.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: execute_code runs on remote terminal backends (Docker/SSH/Modal/Daytona/Singularity)
When TERMINAL_ENV is not 'local', execute_code now ships the script to
the remote environment and runs it there via the terminal backend --
the same container/sandbox/SSH session used by terminal() and file tools.
Architecture:
- Local backend: unchanged (UDS RPC, subprocess.Popen)
- Remote backends: file-based RPC via execute_oneshot() polling
- Script writes request files, parent polls and dispatches tool calls
- Responses written atomically (tmp + rename) via base64/stdin
- execute_oneshot() bypasses persistent shell lock for concurrency
Changes:
- tools/environments/base.py: add execute_oneshot() (delegates to execute())
- tools/environments/persistent_shell.py: override execute_oneshot() to
bypass _shell_lock via _execute_oneshot(), enabling concurrent polling
- tools/code_execution_tool.py: add file-based transport to
generate_hermes_tools_module(), _execute_remote() with full env
get-or-create, file shipping, RPC poll loop, output post-processing
* fix: use _get_env_config() instead of raw TERMINAL_ENV env var
Read terminal backend type through the canonical config resolution
path (terminal_tool._get_env_config) instead of os.getenv directly.
* fix: use echo piping instead of stdin_data for base64 writes
Modal doesn't reliably deliver stdin_data to chained commands
(base64 -d > file && mv), producing 0-byte files. Switch to
echo 'base64' | base64 -d which works on all backends.
Verified E2E on both Docker and Modal.
Users on direct API-key providers (Alibaba, DeepSeek, ZAI, etc.) without
an OpenRouter or Nous key would get broken auxiliary tasks (compression,
vision, etc.) because _resolve_auto() only tried aggregator providers
first, then fell back to iterating PROVIDER_REGISTRY with wrong default
model names.
Now _resolve_auto() checks the user's main provider first. If it's not
an aggregator (OpenRouter/Nous), it uses their main model directly for
all auxiliary tasks. Aggregator users still get the cheap gemini-flash
model as before.
Adds _read_main_provider() to read model.provider from config.yaml,
mirroring the existing _read_main_model().
Reported by SkyLinx — Alibaba Coding Plan user getting 400 errors from
google/gemini-3-flash-preview being sent to DashScope.
Add an optional 'script' parameter to cron jobs that references a Python
script. The script runs before each agent turn, and its stdout is injected
into the prompt as context. This enables stateful monitoring — the script
handles data collection and change detection, the LLM analyzes and reports.
- cron/jobs.py: add script field to create_job(), stored in job dict
- cron/scheduler.py: add _run_job_script() executor with timeout handling,
inject script output/errors into _build_job_prompt()
- tools/cronjob_tools.py: add script to tool schema, create/update handlers,
_format_job display
- hermes_cli/cron.py: add --script to create/edit, display in list/edit output
- hermes_cli/main.py: add --script argparse for cron create/edit subcommands
- tests/cron/test_cron_script.py: 20 tests covering job CRUD, script
execution, path resolution, error handling, prompt injection, tool API
Script paths can be absolute or relative (resolved against ~/.hermes/scripts/).
Scripts run with a 120s timeout. Failures are injected as error context so
the LLM can report the problem. Empty string clears an attached script.
- Browse: POST /api/v1/browse → GET /api/v1/fs/{ls,tree,stat}
- Read: POST /api/v1/read[/abstract] → GET /api/v1/content/{read,abstract,overview}
- System prompt: result.get('children') → len(result) (API returns list)
- Content: result.get('content') → result is a plain string
- Browse: result['entries'] → result is the list; is_dir → isDir (camelCase)
- Browse: add rel_path and abstract fields to entry output
Based on PR #4742 by catbusconductor. Auth header changes dropped
(already on main via #4825).
Bug fixes:
- agent/redact.py: catastrophic regex backtracking in _ENV_ASSIGN_RE — removed
re.IGNORECASE and changed [A-Z_]* to [A-Z0-9_]* to restrict matching to actual
env var name chars. Without this, the pattern backtracks exponentially on large
strings (e.g. 100K tool output), causing test_file_read_guards to time out.
- tools/file_operations.py: over-escaped newline in find -printf format string
produced literal backslash-n instead of a real newline, breaking file search
result parsing (total_count always 1, paths concatenated).
Test fixes:
- Remove stale pytestmark.skip from 4 test modules that were blanket-skipped as
'Hangs in non-interactive environments' but actually run fine:
- test_413_compression.py (12 tests, 25s)
- test_file_tools_live.py (71 tests, 24s)
- test_code_execution.py (61 tests, 99s)
- test_agent_loop_tool_calling.py (has proper OPENROUTER_API_KEY skip already)
- test_413_compression.py: fix threshold values in 2 preflight compression tests
where context_length was too small for the compressed output to fit in one pass.
- test_mcp_probe.py: add missing _MCP_AVAILABLE mock so tests work without MCP SDK.
- test_mcp_tool_issue_948.py: inject MCP symbols (StdioServerParameters etc.) when
SDK is not installed so patch() targets exist.
- test_approve_deny_commands.py: replace time.sleep(0.3) with deterministic polling
of _gateway_queues — fixes race condition where resolve fires before threads
register their approval entries, causing the test to hang indefinitely.
Net effect: +256 tests recovered from skip, 8 real failures fixed.
Audit found 24+ discrepancies between docs and code. Fixed:
HIGH severity:
- Remove honcho toolset from tools-reference, toolsets-reference, and tools.md
(converted to memory provider plugin, not a built-in toolset)
- Add note that Honcho is available via plugin
MEDIUM severity:
- Add hermes memory command family to cli-commands.md (setup/status/off)
- Add --clone-all, --clone-from to profile create in cli-commands.md
- Add --max-turns option to hermes chat in cli-commands.md
- Add /btw slash command to slash-commands.md
- Fix profile show example output (remove nonexistent disk usage,
add .env and SOUL.md status lines)
- Add missing hermes-webhook toolset to toolsets-reference.md
- Add 5 missing providers to fallback-providers.md table
- Add 7 missing providers to providers.md fallback list
- Fix outdated model examples: glm-4-plus→glm-5, moonshot-v1-auto→kimi-for-coding
Add docker_env option to terminal config — a dict of key-value pairs that
get set inside Docker containers via -e flags at both container creation
(docker run) and per-command execution (docker exec) time.
This complements docker_forward_env (which reads values dynamically from
the host process environment). docker_env is useful when Hermes runs as a
systemd service without access to the user's shell environment — e.g.
setting SSH_AUTH_SOCK or GNUPGHOME to known stable paths for SSH/GPG
agent socket forwarding.
Precedence: docker_env provides baseline values; docker_forward_env
overrides for the same key.
Config example:
terminal:
docker_env:
SSH_AUTH_SOCK: /run/user/1000/ssh-agent.sock
GNUPGHOME: /root/.gnupg
docker_volumes:
- /run/user/1000/ssh-agent.sock:/run/user/1000/ssh-agent.sock
- /run/user/1000/gnupg/S.gpg-agent:/root/.gnupg/S.gpg-agent
Address review feedback: replace bare `except: pass` with a debug
log when the post-retry write-back to ~/.claude/.credentials.json
fails. The write-back is best-effort (token is already resolved),
but logging helps troubleshooting.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
OAuth refresh tokens are single-use. When multiple consumers share the
same Anthropic OAuth session (credential pool entries, Claude Code CLI,
multiple Hermes profiles), whichever refreshes first invalidates the
refresh token for all others. This causes a cascade:
1. Pool entry tries to refresh with a consumed refresh token → 400
2. Pool marks the credential as "exhausted" with a 24-hour cooldown
3. All subsequent heartbeats skip the credential entirely
4. The fallback to resolve_anthropic_token() only works while the
access token in ~/.claude/.credentials.json hasn't expired
5. Once it expires, nothing can auto-recover without manual re-login
Fix:
- Add _sync_anthropic_entry_from_credentials_file() to detect when
~/.claude/.credentials.json has a newer refresh token and sync it
into the pool entry, clearing exhaustion status
- After a successful pool refresh, write the new tokens back to
~/.claude/.credentials.json so other consumers stay in sync
- On refresh failure, check if the credentials file has a different
(newer) refresh token and retry once before marking exhausted
- In _available_entries(), sync exhausted claude_code entries from
the credentials file before applying the 24-hour cooldown, so a
manual re-login or external refresh immediately unblocks agents
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: add /branch (/fork) command for session branching
Inspired by Claude Code's /branch command. Creates a copy of the current
session's conversation history in a new session, allowing the user to
explore a different approach without losing the original.
Works like 'git checkout -b' for conversations:
- /branch — auto-generates a title from the parent session
- /branch my-idea — uses a custom title
- /fork — alias for /branch
Implementation:
- CLI: _handle_branch_command() in cli.py
- Gateway: _handle_branch_command() in gateway/run.py
- CommandDef with 'fork' alias in commands.py
- Uses existing parent_session_id field in session DB
- Uses get_next_title_in_lineage() for auto-numbered branches
- 14 tests covering session creation, history copy, parent links,
title generation, edge cases, and agent sync
* fix: clear ghost status-bar lines on terminal resize
When the terminal shrinks (e.g. un-maximize), the emulator reflows
previously full-width rows (status bar, input rules) into multiple
narrower rows. prompt_toolkit's _on_resize only cursor_up()s by the
stored layout height, missing the extra rows from reflow — leaving
ghost duplicates of the status bar visible.
Fix: monkey-patch Application._on_resize to detect width shrinks,
calculate the extra rows created by reflow, and inflate the renderer's
cursor_pos.y so the erase moves up far enough to clear ghosts.
Two pre-existing issues causing test_file_read_guards timeouts on CI:
1. agent/redact.py: _ENV_ASSIGN_RE used unbounded [A-Z_]* with
IGNORECASE, matching any letter/underscore to end-of-string at
each position → O(n²) backtracking on 100K+ char inputs.
Bounded to {0,50} since env var names are never that long.
2. tools/file_tools.py: redact_sensitive_text() ran BEFORE the
character-count guard, so oversized content (that would be rejected
anyway) went through the expensive regex first. Reordered to check
size limit before redaction.
- HERMES_AGENT_TIMEOUT=0 now means no limit (infinite execution)
- Periodic 'still working' notifications every 10 minutes for long tasks
- Timeout error message now tells users how to increase the limit
- Stale-lock eviction handles infinite timeout correctly (float inf TTL)
Clearer workflow with validation/chunking steps, expanded description
with trigger terms for better agent matching, tightened error handling.
Fixed stray pipe character in original PR diff.
Based on PR #4778 by fernandezbaptiste.
Co-authored-by: fernandezbaptiste <fernandezbaptiste@users.noreply.github.com>
The config key skills.external_dirs and core resolution (get_all_skills_dirs,
get_external_skills_dirs in agent/skill_utils.py) already existed but several
code paths still only scanned SKILLS_DIR. Now external dirs are respected
everywhere:
- skills_categories(): scan all dirs for category discovery
- _get_category_from_path(): resolve categories against any skills root
- skill_manager_tool._find_skill(): search all dirs for edit/patch/delete
- credential_files.get_skills_directory_mount(): mount all dirs into
Docker/Singularity containers (external dirs at external_skills/<idx>)
- credential_files.iter_skills_files(): list files from all dirs for
Modal/Daytona upload
- tools/environments/ssh.py: rsync all skill dirs to remote hosts
- gateway _check_unavailable_skill(): check disabled skills across all dirs
Usage in config.yaml:
skills:
external_dirs:
- ~/repos/agent-skills/hermes
- /shared/team-skills
When a skill is active, user_message contains the full SKILL.md content
injected by the skill system. This bloated string was being passed to
memory provider sync_all(), queue_prefetch_all(), and prefetch_all(),
causing providers with query size limits (e.g. Honcho's 10K char limit)
to fail.
Both call sites now use original_user_message (the clean user input,
already defined at line 6516) instead of the skill-inflated user_message:
- Pre-turn prefetch (line ~6695): prefetch_all() query
- Post-turn sync (line ~8672): sync_all() + queue_prefetch_all()
Fixes#4889
The original filter (if v) silently drops False and 0, so
'rerank: false' in mem0.json would be ignored. Use explicit
None/empty-string check to preserve intentional falsy values.
When mem0.json exists but is missing the api_key (e.g. after running
`hermes memory setup`), the plugin reports "not available" even though
MEM0_API_KEY is set in .env. This happens because _load_config()
returns the JSON file contents verbatim, never falling back to env vars.
Use env vars as the base config and let mem0.json override individual
keys on top, so both config sources work together.
Fixes: mem0 plugin shows "not available" despite valid MEM0_API_KEY in .env
OpenViking is multi-tenant and requires X-OpenViking-Account and
X-OpenViking-User headers. Without them, API calls like POST
/api/v1/search/find fail on authenticated servers.
Add both headers to _VikingClient._headers(), read from env vars
OPENVIKING_ACCOUNT (default: root) and OPENVIKING_USER (default:
default). All instantiation sites inherit the fix automatically.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The tool_preview_length: 0 (unlimited) config change from e314833c
removed truncation from gateway progress messages in all/new modes.
This caused full terminal commands, code blocks, and file paths to
appear as permanent messages in Telegram -- the old 40-char truncation
was the correct behavior for messaging platforms.
Now:
- all/new modes: always truncate previews to 40 chars (old behavior)
- verbose mode: respects tool_preview_length config for JSON args cap
Reported by Paulclgro and socialsurfer on Discord.
Input like /Users/ironin/file.md:45-46 was routed to process_command()
because it starts with /. Added _looks_like_slash_command() which checks
whether the first word contains additional / characters — commands never
do (/help, /model), paths always do (/Users/foo/bar.md).
Applied to both process_loop routing and handle_enter interrupt bypass.
Preserves prefix matching (/h → /help) since short prefixes still pass
the check.
Based on PR #4782 by iRonin.
Co-authored-by: iRonin <iRonin@users.noreply.github.com>
The base adapter's active-session guard queues all messages when an agent
is running. This creates a deadlock for /approve and /deny: the agent
thread is blocked on threading.Event.wait() in tools/approval.py waiting
for resolve_gateway_approval(), but the /approve command is queued waiting
for the agent to finish.
Dispatch /approve and /deny directly to the message handler (which routes
to gateway/run.py's _handle_approve_command) without going through
_process_message_background — avoids spawning a competing background task
that would mess with session lifecycle/guards.
Fixes#4898
Co-authored-by: mechovation (original diagnosis in PR #4904)
* fix(gateway): add message deduplication to Discord and Slack adapters (#4777)
Discord RESUME replays events after reconnects (~7/day observed),
and Slack Socket Mode can redeliver events if the ack was lost.
Neither adapter tracked which messages were already processed,
causing duplicate bot responses.
Add _seen_messages dedup cache (message ID → timestamp) with 5-min
TTL and 2000-entry cap to both adapters, matching the pattern already
used by Mattermost, Matrix, WeCom, Feishu, DingTalk, and Email.
The check goes at the very top of the message handler, before any
other logic, so replayed events are silently dropped.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: prevent duplicate messages on partial stream delivery
When streaming fails after tokens are already delivered to the platform,
_interruptible_streaming_api_call re-raised the error into the outer
retry loop, which would make a new API call — creating a duplicate
message.
Now checks deltas_were_sent before re-raising: if partial content was
already streamed, returns a stub response instead. The outer loop treats
the turn as complete (no retry, no fallback, no duplicate).
Inspired by PR #4871 (@trevorgordon981) which identified the bug.
This implementation avoids monkey-patching exception objects and keeps
the fix within the streaming call boundary.
---------
Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The Anthropic SDK appends /v1/messages to the base_url, so OpenCode's
base URL https://opencode.ai/zen/go/v1 produced a double /v1 path
(https://opencode.ai/zen/go/v1/v1/messages), causing 404s for MiniMax
models. Strip trailing /v1 when api_mode is anthropic_messages.
Also adds MiMo-V2-Pro, MiMo-V2-Omni, and MiniMax-M2.5 to the OpenCode
Go model lists per their updated docs.
Fixes#4890
- 7 new tests covering skill binding, fallthrough, coercion
- Docs section in telegram.md with config format, field reference,
comparison table, and thread_id discovery tip
Reads config.extra['group_topics'] to bind skills to specific thread_ids
in supergroup/forum chats. Mirrors the dm_topics skill injection pattern
but for group chat_type. Enables per-topic skill auto-loading in Falcon HQ.
Config format:
platforms.telegram.extra.group_topics:
- chat_id: -1003853746818
topics:
- name: FalconConnect
thread_id: 5
skill: falconconnect-architecture
- Add contextvars.Token[str] type hints to set/reset_current_session_key
- Use get_current_session_key(default='') in terminal_tool.py for background
process session tracking, fixing the same env var race for concurrent
gateway sessions spawning background processes
The '📨 Queued:' label was misleading — it looked like the message was
silently deferred when it was actually being sent immediately after the
interrupt. Changed to '⚡ Sending after interrupt:' with multi-message
count when the user typed several messages during agent execution.
Added comment documenting that this code path only applies when
busy_input_mode == 'interrupt' (the default).
Based on PR #4821 by iRonin.
Co-authored-by: iRonin <iRonin@users.noreply.github.com>
The original PR missed the third CLI restore path — the /session switch
command that loads history via get_messages_as_conversation() without
stripping session_meta entries.
Add a provider-agnostic role allowlist guard to _sanitize_api_messages()
that drops messages with roles not accepted by the chat-completions API
(e.g. session_meta). This prevents CLI resume/session restore from
leaking transcript-only metadata into the outgoing messages payload.
Two layers of defense:
1. API-boundary guard: _sanitize_api_messages() now filters messages by
role allowlist (system/user/assistant/tool/function/developer) before
the existing orphaned tool-call repair logic. This protects all
current and future call paths.
2. CLI restore defense-in-depth: Both session restore paths in cli.py
now strip session_meta entries before loading history into
conversation_history, matching the existing gateway behavior.
Closes#4715
gateway stop and restart previously called kill_gateway_processes() which
scans ps aux and kills ALL gateway processes across all profiles. Starting
a profile gateway would nuke the main one (and vice versa).
Now:
- hermes gateway stop → only kills the current profile's gateway (PID file)
- hermes -p work gateway stop → only kills the 'work' profile's gateway
- hermes gateway stop --all → kills every gateway process (old behavior)
- hermes gateway restart → profile-scoped for manual fallback path
- hermes update → discovers and restarts ALL profile gateways (systemctl
list-units hermes-gateway*) since the code update is shared
Added stop_profile_gateway() which uses the HERMES_HOME-scoped PID file
instead of global process scanning.
Windows (CRLF) and old Mac (CR) line endings are normalised to LF
before the 5-line collapse threshold is checked in handle_paste.
Without this, markdown copied from Windows sources contains \r\n but
the line counter (pasted_text.count('\n')) still works — however
buf.insert_text() leaves bare \r characters in the buffer which some
terminals render by moving the cursor to the start of the line,
making multi-line pastes appear as a single overwritten line.
- Add .zip to SUPPORTED_DOCUMENT_TYPES so gateway platforms (Telegram,
Slack, Discord) cache uploaded zip files instead of rejecting them.
- Add get_cache_directory_mounts() and iter_cache_files() to
credential_files.py for host-side cache directory passthrough
(documents, images, audio, screenshots).
- Docker: bind-mount cache dirs read-only alongside credentials/skills.
Changes are live (bind mount semantics).
- Modal: mount cache files at sandbox creation + resync before each
command via _sync_files() with mtime+size change detection.
- Handles backward-compat with legacy dir names (document_cache,
image_cache, audio_cache, browser_screenshots) via get_hermes_dir().
- Container paths always use the new cache/<subdir> layout regardless
of host layout.
This replaces the need for a dedicated extract_archive tool (PR #4819)
— the agent can now use standard terminal commands (unzip, tar) on
uploaded files inside remote containers.
Closes: related to PR #4819 by kshitijk4poor
Three fixes for memory+profile isolation bugs:
1. memory_tool.py: Replace module-level MEMORY_DIR constant with
get_memory_dir() function that calls get_hermes_home() dynamically.
The old constant was cached at import time and could go stale if
HERMES_HOME changed after import. Internal MemoryStore methods now
call get_memory_dir() directly. MEMORY_DIR kept as backward-compat
alias.
2. profiles.py: profile create --clone now copies MEMORY.md and USER.md
from the source profile. These curated memory files are part of the
agent's identity (same as SOUL.md) and should carry over on clone.
3. holographic plugin: initialize() now expands $HERMES_HOME and
${HERMES_HOME} in the db_path config value, so users can write
'db_path: $HERMES_HOME/memory_store.db' and it resolves to the
active profile directory, not the default home.
Tests updated to mock get_memory_dir() alongside the legacy MEMORY_DIR.
uv.lock was stale at v0.5.0 and missing exa-py (core dep), causing
ModuleNotFoundError for Nix flake builds. Also syncs faster-whisper
placement (core → voice extra), adds feishu/debugpy/lark-oapi extras.
Fixes#4648
Credit to @lvnilesh for identifying the issue in PR #4649.
The pipeline prefetch design was firing \`brv query\` in a background
thread *after* each response, meaning the context injected at turn N
was from turn N-1's message — and the first turn got no BRV context
at all. Replace the async prefetch pipeline with a synchronous query
in \`prefetch()\` so recall runs before the first API call on every
turn. Make \`queue_prefetch()\` a no-op and remove the now-unused
pipeline state.
2026-04-03 12:11:29 -07:00
900 changed files with 157930 additions and 17713 deletions
Works on Linux, macOS, and WSL2. The installer handles everything — Python, Node.js, dependencies, and the `hermes` command. No prerequisites except git.
Works on Linux, macOS, WSL2, and Android via Termux. The installer handles the platform-specific setup for you.
> **Android / Termux:** The tested manual path is documented in the [Termux guide](https://hermes-agent.nousresearch.com/docs/getting-started/termux). On Termux, Hermes installs a curated `.[termux]` extra because the full `.[all]` extra currently pulls Android-incompatible voice dependencies.
>
> **Windows:** Native Windows is not supported. Please install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) and run the command above.
> The intelligence release — background task auto-notifications, free MiMo v2 Pro on Nous Portal, live model switching across all platforms, self-optimized GPT/Codex guidance, native Google AI Studio, smart inactivity timeouts, approval buttons, MCP OAuth 2.1, and 209 merged PRs with 82 resolved issues.
---
## ✨ Highlights
- **Background Process Auto-Notifications (`notify_on_complete`)** — Background tasks can now automatically notify the agent when they finish. Start a long-running process (AI model training, test suites, deployments, builds) and the agent gets notified on completion — no polling needed. The agent can keep working on other things and pick up results when they land. ([#5779](https://github.com/NousResearch/hermes-agent/pull/5779))
- **Free Xiaomi MiMo v2 Pro on Nous Portal** — Nous Portal now supports the free-tier Xiaomi MiMo v2 Pro model for auxiliary tasks (compression, vision, summarization), with free-tier model gating and pricing display in model selection. ([#6018](https://github.com/NousResearch/hermes-agent/pull/6018), [#5880](https://github.com/NousResearch/hermes-agent/pull/5880))
- **Live Model Switching (`/model` Command)** — Switch models and providers mid-session from CLI, Telegram, Discord, Slack, or any gateway platform. Aggregator-aware resolution keeps you on OpenRouter/Nous when possible, with automatic cross-provider fallback when needed. Interactive model pickers on Telegram and Discord with inline buttons. ([#5181](https://github.com/NousResearch/hermes-agent/pull/5181), [#5742](https://github.com/NousResearch/hermes-agent/pull/5742))
- **Self-Optimized GPT/Codex Tool-Use Guidance** — The agent diagnosed and patched 5 failure modes in GPT and Codex tool calling through automated behavioral benchmarking, dramatically improving reliability on OpenAI models. Includes execution discipline guidance and thinking-only prefill continuation for structured reasoning. ([#6120](https://github.com/NousResearch/hermes-agent/pull/6120), [#5414](https://github.com/NousResearch/hermes-agent/pull/5414), [#5931](https://github.com/NousResearch/hermes-agent/pull/5931))
- **Google AI Studio (Gemini) Native Provider** — Direct access to Gemini models through Google's AI Studio API. Includes automatic models.dev registry integration for real-time context length detection across any provider. ([#5577](https://github.com/NousResearch/hermes-agent/pull/5577))
- **Inactivity-Based Agent Timeouts** — Gateway and cron timeouts now track actual tool activity instead of wall-clock time. Long-running tasks that are actively working will never be killed — only truly idle agents time out. ([#5389](https://github.com/NousResearch/hermes-agent/pull/5389), [#5440](https://github.com/NousResearch/hermes-agent/pull/5440))
- **Approval Buttons on Slack & Telegram** — Dangerous command approval via native platform buttons instead of typing `/approve`. Slack gets thread context preservation; Telegram gets emoji reactions for approval status. ([#5890](https://github.com/NousResearch/hermes-agent/pull/5890), [#5975](https://github.com/NousResearch/hermes-agent/pull/5975))
- **MCP OAuth 2.1 PKCE + OSV Malware Scanning** — Full standards-compliant OAuth for MCP server authentication, plus automatic malware scanning of MCP extension packages via the OSV vulnerability database. ([#5420](https://github.com/NousResearch/hermes-agent/pull/5420), [#5305](https://github.com/NousResearch/hermes-agent/pull/5305))
- **Centralized Logging & Config Validation** — Structured logging to `~/.hermes/logs/` (agent.log + errors.log) with the `hermes logs` command for tailing and filtering. Config structure validation catches malformed YAML at startup before it causes cryptic failures. ([#5430](https://github.com/NousResearch/hermes-agent/pull/5430), [#5426](https://github.com/NousResearch/hermes-agent/pull/5426))
- **Plugin System Expansion** — Plugins can now register CLI subcommands, receive request-scoped API hooks with correlation IDs, prompt for required env vars during install, and hook into session lifecycle events (finalize/reset). ([#5295](https://github.com/NousResearch/hermes-agent/pull/5295), [#5427](https://github.com/NousResearch/hermes-agent/pull/5427), [#5470](https://github.com/NousResearch/hermes-agent/pull/5470), [#6129](https://github.com/NousResearch/hermes-agent/pull/6129))
- **Matrix Tier 1 & Platform Hardening** — Matrix gets reactions, read receipts, rich formatting, and room management. Discord adds channel controls and ignored channels. Signal gets full MEDIA: tag delivery. Mattermost gets file attachments. Comprehensive reliability fixes across all platforms. ([#5275](https://github.com/NousResearch/hermes-agent/pull/5275), [#5975](https://github.com/NousResearch/hermes-agent/pull/5975), [#5602](https://github.com/NousResearch/hermes-agent/pull/5602))
- **Security Hardening Pass** — Consolidated SSRF protections, timing attack mitigations, tar traversal prevention, credential leakage guards, cron path traversal hardening, and cross-session isolation. Terminal workdir sanitization across all backends. ([#5944](https://github.com/NousResearch/hermes-agent/pull/5944), [#5613](https://github.com/NousResearch/hermes-agent/pull/5613), [#5629](https://github.com/NousResearch/hermes-agent/pull/5629))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Native Google AI Studio (Gemini) provider** with models.dev integration for automatic context length detection ([#5577](https://github.com/NousResearch/hermes-agent/pull/5577))
- **`/model` command — full provider+model system overhaul** — live switching across CLI and all gateway platforms with aggregator-aware resolution ([#5181](https://github.com/NousResearch/hermes-agent/pull/5181))
- **Interactive model picker for Telegram and Discord** — inline button-based model selection ([#5742](https://github.com/NousResearch/hermes-agent/pull/5742))
- **Nous Portal free-tier model gating** with pricing display in model selection ([#5880](https://github.com/NousResearch/hermes-agent/pull/5880))
- **Model pricing display** for OpenRouter and Nous Portal providers ([#5416](https://github.com/NousResearch/hermes-agent/pull/5416))
- **xAI (Grok) prompt caching** via `x-grok-conv-id` header ([#5604](https://github.com/NousResearch/hermes-agent/pull/5604))
- **Grok added to tool-use enforcement models** for direct xAI usage ([#5595](https://github.com/NousResearch/hermes-agent/pull/5595))
- **Non-agentic model warning** — warns users when loading Hermes LLM models not designed for tool use ([#5378](https://github.com/NousResearch/hermes-agent/pull/5378))
- **Ollama Cloud auth, /model switch persistence**, and alias tab completion ([#5269](https://github.com/NousResearch/hermes-agent/pull/5269))
- **Preserve dots in OpenCode Go model names** (minimax-m2.7, glm-4.5, kimi-k2.5) ([#5597](https://github.com/NousResearch/hermes-agent/pull/5597))
- **MiniMax models 404 fix** — strip /v1 from Anthropic base URL for OpenCode Go ([#4918](https://github.com/NousResearch/hermes-agent/pull/4918))
- **Provider credential reset windows** honored in pooled failover ([#5188](https://github.com/NousResearch/hermes-agent/pull/5188))
- **OAuth token sync** between credential pool and credentials file ([#4981](https://github.com/NousResearch/hermes-agent/pull/4981))
- **Stale OAuth credentials** no longer block OpenRouter users on auto-detect ([#5746](https://github.com/NousResearch/hermes-agent/pull/5746))
- **Codex pool entry sync** from `~/.codex/auth.json` on exhaustion — @GratefulDave ([#5610](https://github.com/NousResearch/hermes-agent/pull/5610))
- **Auxiliary client payment fallback** — retry with next provider on 402 ([#5599](https://github.com/NousResearch/hermes-agent/pull/5599))
- **Auxiliary client resolves named custom providers** and 'main' alias ([#5978](https://github.com/NousResearch/hermes-agent/pull/5978))
- **Use mimo-v2-pro** for non-vision auxiliary tasks on Nous free tier ([#6018](https://github.com/NousResearch/hermes-agent/pull/6018))
- **Vision auto-detection** tries main provider first ([#6041](https://github.com/NousResearch/hermes-agent/pull/6041))
- **Provider re-ordering and Quick Install** — @austinpickett ([#4664](https://github.com/NousResearch/hermes-agent/pull/4664))
- **Nous OAuth access_token** no longer used as inference API key — @SHL0MS ([#5564](https://github.com/NousResearch/hermes-agent/pull/5564))
- **HERMES_PORTAL_BASE_URL env var** respected during Nous login — @benbarclay ([#5745](https://github.com/NousResearch/hermes-agent/pull/5745))
- **Env var overrides** for Nous portal/inference URLs ([#5419](https://github.com/NousResearch/hermes-agent/pull/5419))
- **Z.AI endpoint auto-detect** via probe and cache ([#5763](https://github.com/NousResearch/hermes-agent/pull/5763))
- **MiniMax context lengths, model catalog, thinking guard, aux model, and config base_url** corrections ([#6082](https://github.com/NousResearch/hermes-agent/pull/6082))
- **Community provider/model resolution fixes** — salvaged 4 community PRs + MiniMax aux URL ([#5983](https://github.com/NousResearch/hermes-agent/pull/5983))
### Agent Loop & Conversation
- **Self-optimized GPT/Codex tool-use guidance** via automated behavioral benchmarking — agent self-diagnosed and patched 5 failure modes ([#6120](https://github.com/NousResearch/hermes-agent/pull/6120))
- **GPT/Codex execution discipline guidance** in system prompts ([#5414](https://github.com/NousResearch/hermes-agent/pull/5414))
- **Thinking-only prefill continuation** for structured reasoning responses ([#5931](https://github.com/NousResearch/hermes-agent/pull/5931))
- **Accept reasoning-only responses** without retries — set content to "(empty)" instead of infinite retry ([#5278](https://github.com/NousResearch/hermes-agent/pull/5278))
- **Jittered retry backoff** — exponential backoff with jitter for API retries ([#6048](https://github.com/NousResearch/hermes-agent/pull/6048))
- **Smart thinking block signature management** — preserve and manage Anthropic thinking signatures across turns ([#6112](https://github.com/NousResearch/hermes-agent/pull/6112))
- **Coerce tool call arguments** to match JSON Schema types — fixes models that send strings instead of numbers/booleans ([#5265](https://github.com/NousResearch/hermes-agent/pull/5265))
- **Save oversized tool results to file** instead of destructive truncation ([#5210](https://github.com/NousResearch/hermes-agent/pull/5210))
- **Sandbox-aware tool result persistence** ([#6085](https://github.com/NousResearch/hermes-agent/pull/6085))
- **Streaming fallback** improved after edit failures ([#6110](https://github.com/NousResearch/hermes-agent/pull/6110))
- **Sanitize tool_calls for all strict APIs** (Fireworks, Mistral, etc.) — @lumethegreat ([#5183](https://github.com/NousResearch/hermes-agent/pull/5183))
### Memory & Sessions
- **Supermemory memory provider** — new memory plugin with multi-container, search_mode, identity template, and env var override ([#5737](https://github.com/NousResearch/hermes-agent/pull/5737), [#5933](https://github.com/NousResearch/hermes-agent/pull/5933))
- **Shared thread sessions** by default — multi-user thread support across gateway platforms ([#5391](https://github.com/NousResearch/hermes-agent/pull/5391))
- **Subagent sessions linked to parent** and hidden from session list ([#5309](https://github.com/NousResearch/hermes-agent/pull/5309))
- **Profile-scoped memory isolation** and clone support ([#4845](https://github.com/NousResearch/hermes-agent/pull/4845))
- **Thread gateway user_id to memory plugins** for per-user scoping ([#5895](https://github.com/NousResearch/hermes-agent/pull/5895))
- **CJK input, E2EE, and reconnect** fixes ([#5665](https://github.com/NousResearch/hermes-agent/pull/5665))
### Signal
- **Full MEDIA: tag delivery** — send_image_file, send_voice, and send_video implemented ([#5602](https://github.com/NousResearch/hermes-agent/pull/5602))
### Mattermost
- **File attachments** — set message type to DOCUMENT when post has file attachments — @nericervin ([#5609](https://github.com/NousResearch/hermes-agent/pull/5609))
- **Native Windows image paste** support ([#5917](https://github.com/NousResearch/hermes-agent/pull/5917))
- **--yolo and other flags** no longer silently dropped when placed before 'chat' subcommand ([#5145](https://github.com/NousResearch/hermes-agent/pull/5145))
### Setup & Configuration
- **Config structure validation** — detect malformed YAML at startup with actionable error messages ([#5426](https://github.com/NousResearch/hermes-agent/pull/5426))
- **Centralized logging** to `~/.hermes/logs/` — agent.log (INFO+), errors.log (WARNING+) with `hermes logs` command ([#5430](https://github.com/NousResearch/hermes-agent/pull/5430))
- **Docs links added** to setup wizard sections ([#5283](https://github.com/NousResearch/hermes-agent/pull/5283))
- **Execute_code on remote backends** — code execution now works on Docker, SSH, Modal, and other remote terminal backends ([#5088](https://github.com/NousResearch/hermes-agent/pull/5088))
- **Exit code context** for common CLI tools in terminal results — helps agent understand what went wrong ([#5144](https://github.com/NousResearch/hermes-agent/pull/5144))
- **Progressive subdirectory hint discovery** — agent learns project structure as it navigates ([#5291](https://github.com/NousResearch/hermes-agent/pull/5291))
- **notify_on_complete for background processes** — get notified when long-running tasks finish ([#5779](https://github.com/NousResearch/hermes-agent/pull/5779))
- **Skill config interface** — skills can declare required config.yaml settings, prompted during setup, injected at load time ([#5635](https://github.com/NousResearch/hermes-agent/pull/5635))
- **Plugin CLI registration system** — plugins register their own CLI subcommands without touching main.py ([#5295](https://github.com/NousResearch/hermes-agent/pull/5295))
- **Request-scoped API hooks** with tool call correlation IDs for plugins ([#5427](https://github.com/NousResearch/hermes-agent/pull/5427))
- **Session lifecycle hooks** — on_session_finalize and on_session_reset for CLI + gateway ([#6129](https://github.com/NousResearch/hermes-agent/pull/6129))
- **Prompt for required env vars** during plugin install — @kshitijk4poor ([#5470](https://github.com/NousResearch/hermes-agent/pull/5470))
- **Plugin name validation** — reject names that resolve to plugins root ([#5368](https://github.com/NousResearch/hermes-agent/pull/5368))
- **pre_llm_call plugin context** moved to user message to preserve prompt cache ([#5146](https://github.com/NousResearch/hermes-agent/pull/5146))
### New & Updated Skills
- **popular-web-designs** — 54 production website design systems ([#5194](https://github.com/NousResearch/hermes-agent/pull/5194))
- **Profile-scoped Google Workspace OAuth tokens** protected ([#4910](https://github.com/NousResearch/hermes-agent/pull/4910))
### Reliability
- **Aggressive worktree and branch cleanup** to prevent accumulation ([#6134](https://github.com/NousResearch/hermes-agent/pull/6134))
- **O(n²) catastrophic backtracking** in redact regex fixed — 100x improvement on large outputs ([#4962](https://github.com/NousResearch/hermes-agent/pull/4962))
- **Runtime stability fixes** across core, web, delegate, and browser tools ([#4843](https://github.com/NousResearch/hermes-agent/pull/4843))
- **API server streaming fix** + conversation history support ([#5977](https://github.com/NousResearch/hermes-agent/pull/5977))
- **OpenViking API endpoint paths** and response parsing corrected ([#5078](https://github.com/NousResearch/hermes-agent/pull/5078))
---
## 🐛 Notable Bug Fixes
- **9 community bugfixes salvaged** — gateway, cron, deps, macOS launchd in one batch ([#5288](https://github.com/NousResearch/hermes-agent/pull/5288))
- **Batch core bug fixes** — model config, session reset, alias fallback, launchctl, delegation, atomic writes ([#5630](https://github.com/NousResearch/hermes-agent/pull/5630))
- **Stale test skips removed**, regex backtracking, file search bug, and test flakiness ([#4969](https://github.com/NousResearch/hermes-agent/pull/4969))
> The everywhere release — Hermes goes mobile with Termux/Android, adds iMessage and WeChat, ships Fast Mode for OpenAI and Anthropic, introduces background process monitoring, launches a local web dashboard for managing your agent, and delivers the deepest security hardening pass yet across 16 supported platforms.
---
## ✨ Highlights
- **Local Web Dashboard** — A new browser-based dashboard for managing your Hermes Agent locally. Configure settings, monitor sessions, browse skills, and manage your gateway — all from a clean web interface without touching config files or the terminal. The easiest way to get started with Hermes.
- **Fast Mode (`/fast`)** — Priority processing for OpenAI and Anthropic models. Toggle `/fast` to route through priority queues for significantly lower latency on supported models (GPT-5.4, Codex, Claude). Expands across all OpenAI Priority Processing models and Anthropic's fast tier. ([#6875](https://github.com/NousResearch/hermes-agent/pull/6875), [#6960](https://github.com/NousResearch/hermes-agent/pull/6960), [#7037](https://github.com/NousResearch/hermes-agent/pull/7037))
- **iMessage via BlueBubbles** — Full iMessage integration through BlueBubbles, bringing Hermes to Apple's messaging ecosystem. Auto-webhook registration, setup wizard integration, and crash resilience. ([#6437](https://github.com/NousResearch/hermes-agent/pull/6437), [#6460](https://github.com/NousResearch/hermes-agent/pull/6460), [#6494](https://github.com/NousResearch/hermes-agent/pull/6494))
- **WeChat (Weixin) & WeCom Callback Mode** — Native WeChat support via iLink Bot API and a new WeCom callback-mode adapter for self-built enterprise apps. Streaming cursor, media uploads, markdown link handling, and atomic state persistence. Hermes now covers the Chinese messaging ecosystem end-to-end. ([#7166](https://github.com/NousResearch/hermes-agent/pull/7166), [#7943](https://github.com/NousResearch/hermes-agent/pull/7943))
- **Termux / Android Support** — Run Hermes natively on Android via Termux. Adapted install paths, TUI optimizations for mobile screens, voice backend support, and the `/image` command work on-device. ([#6834](https://github.com/NousResearch/hermes-agent/pull/6834))
- **Background Process Monitoring (`watch_patterns`)** — Set patterns to watch for in background process output and get notified in real-time when they match. Monitor for errors, wait for specific events ("listening on port"), or watch build logs — all without polling. ([#7635](https://github.com/NousResearch/hermes-agent/pull/7635))
- **Native xAI & Xiaomi MiMo Providers** — First-class provider support for xAI (Grok) and Xiaomi MiMo, with direct API access, model catalogs, and setup wizard integration. Plus Qwen OAuth with portal request support. ([#7372](https://github.com/NousResearch/hermes-agent/pull/7372), [#7855](https://github.com/NousResearch/hermes-agent/pull/7855))
- **Pluggable Context Engine** — Context management is now a pluggable slot via `hermes plugins`. Swap in custom context engines that control what the agent sees each turn — filtering, summarization, or domain-specific context injection. ([#7464](https://github.com/NousResearch/hermes-agent/pull/7464))
- **Unified Proxy Support** — SOCKS proxy, `DISCORD_PROXY`, and system proxy auto-detection across all gateway platforms. Hermes behind corporate firewalls just works. ([#6814](https://github.com/NousResearch/hermes-agent/pull/6814))
- **Comprehensive Security Hardening** — Path traversal protection in checkpoint manager, shell injection neutralization in sandbox writes, SSRF redirect guards in Slack image uploads, Twilio webhook signature validation (SMS RCE fix), API server auth enforcement, git argument injection prevention, and approval button authorization. ([#7933](https://github.com/NousResearch/hermes-agent/pull/7933), [#7944](https://github.com/NousResearch/hermes-agent/pull/7944), [#7940](https://github.com/NousResearch/hermes-agent/pull/7940), [#7151](https://github.com/NousResearch/hermes-agent/pull/7151), [#7156](https://github.com/NousResearch/hermes-agent/pull/7156))
- **`hermes backup`&`hermes import`** — Full backup and restore of your Hermes configuration, sessions, skills, and memory. Migrate between machines or create snapshots before major changes. ([#7997](https://github.com/NousResearch/hermes-agent/pull/7997))
- **16 Supported Platforms** — With BlueBubbles (iMessage) and WeChat joining Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, SMS, DingTalk, Feishu, WeCom, Mattermost, Home Assistant, and Webhooks, Hermes now runs on 16 messaging platforms out of the box.
- **`/debug`&`hermes debug share`** — New debugging toolkit: `/debug` slash command across all platforms for quick diagnostics, plus `hermes debug share` to upload a full debug report to a pastebin for easy sharing when troubleshooting. ([#8681](https://github.com/NousResearch/hermes-agent/pull/8681))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Native xAI (Grok) provider** with direct API access and model catalog ([#7372](https://github.com/NousResearch/hermes-agent/pull/7372))
- **Xiaomi MiMo as first-class provider** — setup wizard, model catalog, empty response recovery ([#7855](https://github.com/NousResearch/hermes-agent/pull/7855))
- **Qwen OAuth provider** with portal request support ([#6282](https://github.com/NousResearch/hermes-agent/pull/6282))
- **Fast Mode** — `/fast` toggle for OpenAI Priority Processing + Anthropic fast tier ([#6875](https://github.com/NousResearch/hermes-agent/pull/6875), [#6960](https://github.com/NousResearch/hermes-agent/pull/6960), [#7037](https://github.com/NousResearch/hermes-agent/pull/7037))
- **Structured API error classification** for smart failover decisions ([#6514](https://github.com/NousResearch/hermes-agent/pull/6514))
- **Rate limit header capture** shown in `/usage` ([#6541](https://github.com/NousResearch/hermes-agent/pull/6541))
- **API server model name** derived from profile name ([#6857](https://github.com/NousResearch/hermes-agent/pull/6857))
- **Custom providers** now included in `/model` listings and resolution ([#7088](https://github.com/NousResearch/hermes-agent/pull/7088))
- **Fallback provider activation** on repeated empty responses with user-visible status ([#7505](https://github.com/NousResearch/hermes-agent/pull/7505))
- **OpenRouter variant tags** (`:free`, `:extended`, `:fast`) preserved during model switch ([#6383](https://github.com/NousResearch/hermes-agent/pull/6383))
- **Credential exhaustion TTL** reduced from 24 hours to 1 hour ([#6504](https://github.com/NousResearch/hermes-agent/pull/6504))
- **OAuth credential lifecycle** hardening — stale pool keys, auth.json sync, Codex CLI race fixes ([#6874](https://github.com/NousResearch/hermes-agent/pull/6874))
- Orphan children instead of cascade-deleting in prune/delete ([#6513](https://github.com/NousResearch/hermes-agent/pull/6513))
- Doctor command only checks the active memory provider ([#6285](https://github.com/NousResearch/hermes-agent/pull/6285))
---
## 📱 Messaging Platforms (Gateway)
### New Platforms
- **BlueBubbles (iMessage)** — full adapter with auto-webhook registration, setup wizard, and crash resilience ([#6437](https://github.com/NousResearch/hermes-agent/pull/6437), [#6460](https://github.com/NousResearch/hermes-agent/pull/6460), [#6494](https://github.com/NousResearch/hermes-agent/pull/6494), [#7107](https://github.com/NousResearch/hermes-agent/pull/7107))
- **Weixin (WeChat)** — native support via iLink Bot API with streaming, media uploads, markdown links ([#7166](https://github.com/NousResearch/hermes-agent/pull/7166), [#8665](https://github.com/NousResearch/hermes-agent/pull/8665))
- **WeCom Callback Mode** — self-built enterprise app adapter with atomic state persistence ([#7943](https://github.com/NousResearch/hermes-agent/pull/7943), [#7928](https://github.com/NousResearch/hermes-agent/pull/7928))
- **Vision auto-resize** for oversized images, raise limit to 20 MB, retry-on-failure ([#7883](https://github.com/NousResearch/hermes-agent/pull/7883), [#7902](https://github.com/NousResearch/hermes-agent/pull/7902))
- STT provider-model mismatch fix (whisper-1 vs faster-whisper) ([#7113](https://github.com/NousResearch/hermes-agent/pull/7113))
### Other Tools
- **`hermes dump`** command for setup summary ([#6550](https://github.com/NousResearch/hermes-agent/pull/6550))
- TODO store enforces ID uniqueness during replace operations ([#7986](https://github.com/NousResearch/hermes-agent/pull/7986))
- List all available toolsets in `delegate_task` schema description ([#8231](https://github.com/NousResearch/hermes-agent/pull/8231))
- API server: tool progress as custom SSE event to prevent model corruption ([#7500](https://github.com/NousResearch/hermes-agent/pull/7500))
- API server: share one Docker container across all conversations ([#7127](https://github.com/NousResearch/hermes-agent/pull/7127))
---
## 🧩 Skills Ecosystem
- **Centralized skills index + tree cache** — eliminates rate-limit failures on install ([#8575](https://github.com/NousResearch/hermes-agent/pull/8575))
- **More aggressive skill loading instructions** in system prompt (v3) ([#8209](https://github.com/NousResearch/hermes-agent/pull/8209), [#8286](https://github.com/NousResearch/hermes-agent/pull/8286))
- **Google Workspace skill** migrated to GWS CLI backend ([#6788](https://github.com/NousResearch/hermes-agent/pull/6788))
# Iterative update: preserve existing info, add new progress
prompt=f"""You are updating a context compaction summary. A previous compaction produced the summary below. New conversation turns have occurred since then and need to be incorporated.
# Preamble shared by both first-compaction and iterative-update prompts.
# Inspired by OpenCode's "do not respond to any questions" instruction
# and Codex's "another language model" framing.
_summarizer_preamble=(
"You are a summarization agent creating a context checkpoint. "
"Your output will be injected as reference material for a DIFFERENT "
"assistant that continues the conversation. "
"Do NOT respond to any questions or requests in the conversation — "
"only output the structured summary. "
"Do NOT include any preamble, greeting, or prefix."
)
PREVIOUS SUMMARY:
{self._previous_summary}
NEW TURNS TO INCORPORATE:
{content_to_summarize}
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new progress. Move items from "In Progress" to "Done" when completed. Remove information only if it is clearly obsolete.
## Goal
[What the user is trying to accomplish — preserve from previous summary, update if goal evolved]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions — accumulate across compactions]
## Progress
### Done
[Completed work — include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Key Decisions
[Important technical decisions and why they were made]
## Relevant Files
[Files read, modified, or created — with brief note on each. Accumulate across compactions.]
## Next Steps
[What needs to happen next to continue the work]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Write only the summary body. Do not include any preamble or prefix."""
else:
# First compaction: summarize from scratch
prompt=f"""Create a structured handoff summary for a later assistant that will continue this conversation after earlier turns are compacted.
TURNS TO SUMMARIZE:
{content_to_summarize}
Use this exact structure:
## Goal
# Shared structured template (used by both paths).
# Key changes vs v1:
# - "Pending User Asks" section (from Claude Code) explicitly tracks
# unanswered questions so the model knows what's resolved vs open
# - "Remaining Work" replaces "Next Steps" to avoid reading as active
# instructions
# - "Resolved Questions" makes it clear which questions were already
# answered (prevents model from re-answering them)
_template_sections=f"""## Goal
[What the user is trying to accomplish]
## Constraints & Preferences
@ -328,24 +381,75 @@ Use this exact structure:
## Key Decisions
[Important technical decisions and why they were made]
## Resolved Questions
[Questions the user asked that were ALREADY answered — include the answer so the next assistant does not re-answer them]
## Pending User Asks
[Questions or requests from the user that have NOT yet been answered or fulfilled. If none, write "None."]
## Relevant Files
[Files read, modified, or created — with brief note on each]
## Next Steps
[What needs to happen next to continue the work]
## Remaining Work
[What remains to be done — framed as context, not instructions]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions. The goal is to prevent the next assistant from repeating work or losing important details.
## Tools & Patterns
[Which tools were used, how they were used effectively, and any tool-specific discoveries]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Write only the summary body. Do not include any preamble or prefix."""
ifself._previous_summary:
# Iterative update: preserve existing info, add new progress
prompt=f"""{_summarizer_preamble}
You are updating a context compaction summary. A previous compaction produced the summary below. New conversation turns have occurred since then and need to be incorporated.
PREVIOUS SUMMARY:
{self._previous_summary}
NEW TURNS TO INCORPORATE:
{content_to_summarize}
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new progress. Move items from "In Progress" to "Done" when completed. Move answered questions to "Resolved Questions". Remove information only if it is clearly obsolete.
{_template_sections}"""
else:
# First compaction: summarize from scratch
prompt=f"""{_summarizer_preamble}
Create a structured handoff summary for a different assistant that will continue this conversation after earlier turns are compacted. The next assistant should be able to understand what happened without re-reading the original turns.
TURNS TO SUMMARIZE:
{content_to_summarize}
Use this exact structure:
{_template_sections}"""
# Inject focus topic guidance when the user provides one via /compress <focus>.
# This goes at the end of the prompt so it takes precedence.
iffocus_topic:
prompt+=f"""
FOCUS TOPIC: "{focus_topic}"
The user has requested that this compaction PRIORITISE preserving all information related to the focus topic above. For content related to "{focus_topic}", include full detail — exact values, file paths, command outputs, error messages, and decisions. For content NOT related to the focus topic, summarise more aggressively (brief one-liners or omit if truly irrelevant). The focus topic sections should receive roughly 60-70% of the summary token budget."""
try:
call_kwargs={
"task":"compression",
"main_runtime":{
"model":self.model,
"provider":self.provider,
"base_url":self.base_url,
"api_key":self.api_key,
"api_mode":self.api_mode,
},
"messages":[{"role":"user","content":prompt}],
"temperature":0.3,
"max_tokens":summary_budget*2,
# timeout resolved from auxiliary.compression.timeout config by call_llm
}
@ -359,13 +463,23 @@ Write only the summary body. Do not include any preamble or prefix."""
"You are being used as the active ACP agent backend for Hermes.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
"Use ACP capabilities to complete tasks.",
"IMPORTANT: If you take an action with a tool, you MUST output tool calls using <tool_call>{...}</tool_call> blocks with JSON exactly in OpenAI function-call shape.",
"If no tool is needed, answer normally.",
]
ifmodel:
sections.append(f"Hermes requested model hint: {model}")
ifisinstance(tools,list)andtools:
tool_specs:list[dict[str,Any]]=[]
fortintools:
ifnotisinstance(t,dict):
continue
fn=t.get("function")or{}
ifnotisinstance(fn,dict):
continue
name=fn.get("name")
ifnotisinstance(name,str)ornotname.strip():
continue
tool_specs.append(
{
"name":name.strip(),
"description":fn.get("description",""),
"parameters":fn.get("parameters",{}),
}
)
iftool_specs:
sections.append(
"Available tools (OpenAI function schema). "
"When using a tool, emit ONLY <tool_call>{...}</tool_call> with one JSON object "
"containing id/type/function{name,arguments}. arguments must be a JSON string.\n"
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browserbase) by default. Modal execution is optional.",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browser Use) by default. Modal execution is optional.",
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browserbase API keys.",
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browser-Use API keys.",
"If the user is not subscribed and asks for a capability that Nous subscription would unlock or simplify, suggest Nous subscription as one option alongside direct setup or local alternatives.",
"Do not mention subscription unless the user asks about it or it directly solves the current missing capability.",
The migration always shows a full preview of what will be imported before making any changes. You review the preview and confirm before anything is written.
**All options:**
| Flag | Description |
@ -39,7 +41,7 @@ Ask the agent to run the migration for you:
```
The agent will use the `openclaw-migration` skill to:
1. Run a dry-run first to preview changes
1. Run a preview first to show what would change
2. Ask about conflict resolution (SOUL.md, skills, etc.)
3. Let you choose between `user-data` and `full` presets
4. Execute the migration with your choices
@ -58,16 +60,31 @@ The agent will use the `openclaw-migration` skill to:
Workspace files are also checked at `workspace.default/` and `workspace-main/` as fallback paths (OpenClaw renamed `workspace/` to `workspace-main/` in recent versions).
| OpenRouter API key | `.env`, `openclaw.json`, or `openclaw.json["env"]` | `~/.hermes/.env` |
| OpenAI API key | `.env`, `openclaw.json`, or `openclaw.json["env"]` | `~/.hermes/.env` |
| Anthropic API key | `.env`, `openclaw.json`, or `openclaw.json["env"]` | `~/.hermes/.env` |
| ElevenLabs API key | `.env`, `openclaw.json`, or `openclaw.json["env"]` | `~/.hermes/.env` |
Only these 6 allowlisted secrets are ever imported. Other credentials are skipped and reported.
API keys are searched across four sources: inline config values, `~/.openclaw/.env`, the `openclaw.json``"env"` sub-object, and per-agent auth profiles.
Only allowlisted secrets are ever imported. Other credentials are skipped and reported.
## OpenClaw Schema Compatibility
The migration handles both old and current OpenClaw config layouts:
- **Channel tokens**: Reads from flat paths (`channels.telegram.botToken`) and the newer `accounts.default` layout (`channels.telegram.accounts.default.botToken`)
- **TTS provider**: OpenClaw renamed "edge" to "microsoft" — both are recognized and mapped to Hermes' "edge"
- **Provider API types**: Both short (`openai`, `anthropic`) and hyphenated (`openai-completions`, `anthropic-messages`, `google-generative-ai`) values are mapped correctly
- **thinkingDefault**: All enum values are handled including newer ones (`minimal`, `xhigh`, `adaptive`)
- **Matrix**: Uses `accessToken` field (not `botToken`)
- **SecretRef formats**: Plain strings, env templates (`${VAR}`), and `source: "env"` SecretRefs are resolved. `source: "file"` and `source: "exec"` SecretRefs produce a warning — add those keys manually after migration.
## Conflict Handling
@ -84,18 +101,24 @@ For skills, you can also use `--skill-conflict rename` to import conflicting ski
## Migration Report
Every migration (including dry runs) produces a report showing:
Every migration produces a report showing:
- **Migrated items** — what was successfully imported
- **Conflicts** — items skipped because they already exist
- **Skipped items** — items not found in the source
- **Errors** — items that failed to import
For execute runs, the full report is saved to `~/.hermes/migration/openclaw/<timestamp>/`.
For executed migrations, the full report is saved to `~/.hermes/migration/openclaw/<timestamp>/`.
## Post-Migration Notes
- **Skills require a new session** — imported skills take effect after restarting your agent or starting a new chat.
- **WhatsApp requires re-pairing** — WhatsApp uses QR-code pairing, not token-based auth. Run `hermes whatsapp` to pair.
- **Archive cleanup** — after migration, you'll be offered to rename `~/.openclaw/` to `.openclaw.pre-migration/` to prevent state confusion. You can also run `hermes claw cleanup` later.
## Troubleshooting
### "OpenClaw directory not found"
The migration looks for `~/.openclaw` by default. If your OpenClaw is installed elsewhere, use `--source`:
The migration looks for `~/.openclaw` by default, then tries `~/.clawdbot` and `~/.moltbot`. If your OpenClaw is installed elsewhere, use `--source`:
If your OpenClaw MEMORY.md or USER.md exceeds Hermes' character limits, excess entries are exported to an overflow file in the migration report directory. You can manually review and add the most important ones.
### API keys not found
Keys might be stored in different places depending on your OpenClaw setup:
-`~/.openclaw/.env` file
- Inline in `openclaw.json` under `models.providers.*.apiKey`
- In `openclaw.json` under the `"env"` or `"env.vars"` sub-objects
- In `~/.openclaw/agents/main/agent/auth-profiles.json`
The migration checks all four. If keys use `source: "file"` or `source: "exec"` SecretRefs, they can't be resolved automatically — add them via `hermes config set`.
**Review:** cursor[bot] bugbot review (4094049442) + two prior rounds
**Date:** 2026-04-12
**Branch:**`feat/container-aware-cli-clean`
## Review Issues Summary
Six issues were raised across three bugbot review rounds. Three were fixed in intermediate commits (38277a6a, 726cf90f). This spec addresses remaining design concerns surfaced by those reviews and simplifies the implementation based on interview decisions.
| # | Issue | Severity | Status |
|---|-------|----------|--------|
| 1 | `os.execvp` retry loop unreachable | Medium | Fixed in 79e8cd12 (switched to subprocess.run) |
| 2 | Redundant `shutil.which("sudo")` | Medium | Fixed in 38277a6a (reuses `sudo` var) |
| 3 | Missing `chown -h` on symlink update | Low | Fixed in 38277a6a |
| 4 | Container routing after `parse_args()` | High | Fixed in 726cf90f |
| 5 | Hardcoded `/home/${user}` | Medium | Fixed in 726cf90f |
| 6 | Group membership not gated on `container.enable` | Low | Fixed in 726cf90f |
The mechanical fixes are in place but the overall design needs revision. The retry loop, error swallowing, and process model have deeper issues than what the bugbot flagged.
---
## Spec: Revised `_exec_in_container`
### Design Principles
1.**Let it crash.** No silent fallbacks. If `.container-mode` exists but something goes wrong, the error propagates naturally (Python traceback). The only case where container routing is skipped is when `.container-mode` doesn't exist or `HERMES_DEV=1`.
2.**No retries.** Probe once for sudo, exec once. If it fails, docker/podman's stderr reaches the user verbatim.
3.**Completely transparent.** No error wrapping, no prefixes, no spinners. Docker's output goes straight through.
4.**`os.execvp` on the happy path.** Replace the Python process entirely so there's no idle parent during interactive sessions. Note: `execvp` never returns on success (process is replaced) and raises `OSError` on failure (it does not return a value). The container process's exit code becomes the process exit code by definition — no explicit propagation needed.
5.**One human-readable exception to "let it crash".**`subprocess.TimeoutExpired` from the sudo probe gets a specific catch with a readable message, since a raw traceback for "your Docker daemon is slow" is confusing. All other exceptions propagate naturally.
- On success: process is replaced — Python is gone, container exit code IS the process exit code
- On OSError: let it crash (natural traceback)
```
### Changes to `hermes_cli/main.py`
#### `_exec_in_container` — rewrite
Remove:
- The entire retry loop (`max_retries`, `for attempt in range(...)`)
- Spinner logic (`"Waiting for container..."`, dots)
- Exit code classification (125/126/127 handling)
-`subprocess.run` for the exec call (keep it only for the sudo probe)
- Special TTY vs non-TTY retry counts
- The `time` import (no longer needed)
Change:
- Use `os.execvp(exec_cmd[0], exec_cmd)` as the final call
- Keep the `subprocess` import only for the sudo probe
- Keep TTY detection for the `-it` vs `-i` flag
- Keep env var forwarding (TERM, COLORTERM, LANG, LC_ALL)
- Keep the sudo probe as-is (it's the one "smart" part)
- Bump probe `timeout` from 5s to 15s — cold podman on a loaded machine needs headroom
- Catch `subprocess.TimeoutExpired` specifically on both probe calls — print a readable message about the daemon being unresponsive instead of a raw traceback
- Expand the sudoers hint error message to explain *why*`-n` (non-interactive) is required: a password prompt would hang the CLI or break piped commands
# Unreachable: os.execvp never returns on success (process is replaced)
# and raises OSError on failure (which propagates as a traceback).
# This line exists only as a defensive assertion.
sys.exit(1)
```
No try/except. If `.container-mode` doesn't exist, `get_container_exec_info()` returns `None` and we skip routing. If it exists but is broken, the exception propagates with a natural traceback.
Note: `sys.exit(1)` after `_exec_in_container` is dead code in all paths — `os.execvp` either replaces the process or raises. It's kept as a belt-and-suspenders assertion with a comment marking it unreachable, not as actual error handling.
Current code catches `(OSError, IOError)` and returns `None`. This silently hides permission errors, corrupt files, etc.
Change: Remove the try/except around file reading. Keep the early returns for `HERMES_DEV=1` and `_is_inside_container()`. The `FileNotFoundError` from `open()` when `.container-mode` doesn't exist should still return `None` (this is the "container mode not enabled" case). All other exceptions propagate.
# Real directory — back it up, then create symlink
_backup="${symlinkPath}.bak.$(date +%s)"
echo"hermes-agent: backing up existing ${symlinkPath} to $_backup"
mv "${symlinkPath}""$_backup"
fi
# For everything else (symlink, doesn't exist, etc.) — just force-create
ln -sfn "${target}""${symlinkPath}"
chown -h ${user}:${cfg.group}"${symlinkPath}"
```
`ln -sfn` handles: existing symlink (replaces), doesn't exist (creates), and after the `mv` above (creates). The only case that needs special handling is a real directory, because `ln -sfn` cannot atomically replace a directory.
Note: there is a theoretical race between the `[ -d ... ]` check and the `mv` (something could create/remove the directory in between). In practice this is a NixOS activation script running as root during `nixos-rebuild switch` — no other process should be touching `~/.hermes` at that moment. Not worth adding locking for.
### Sudoers — document, don't auto-configure
Do NOT add `security.sudo.extraRules` to the module. Document the sudoers requirement in the module's description/comments and in the error message the CLI prints when sudo probe fails.
### Group membership gating — keep as-is
The fix in 726cf90f (`cfg.container.enable && cfg.container.hostUsers != []`) is correct. Leftover group membership when container mode is disabled is harmless. No cleanup needed.
---
## Spec: Test Rewrite
The existing test file (`tests/hermes_cli/test_container_aware_cli.py`) has 16 tests. With the simplified exec model, several are obsolete.
-`test_get_container_exec_info_crashes_on_permission_error` — verify that `PermissionError` propagates (no silent `None` return)
-`test_exec_in_container_calls_execvp` — verify `os.execvp` is called with correct args (runtime, tty flags, user, env, container, binary, cli args)
-`test_exec_in_container_sudo_probe_sets_prefix` — verify that when first probe fails and sudo probe succeeds, `os.execvp` is called with `sudo -n` prefix
-`test_exec_in_container_no_runtime_hard_fails` — keep existing, verify `sys.exit(1)` when `shutil.which` returns None
-`test_exec_in_container_non_tty_uses_i_only` — update to check `os.execvp` args instead of `subprocess.run` args
-`test_exec_in_container_probe_timeout_prints_message` — verify that `subprocess.TimeoutExpired` from the probe produces a human-readable error and `sys.exit(1)`, not a raw traceback
-`test_exec_in_container_container_not_running_no_sudo` — verify the path where runtime exists (`shutil.which` returns a path) but probe returns non-zero and no sudo is available. Should print the "container may be running under root" error. This is distinct from `no_runtime_hard_fails` which covers `shutil.which` returning None.
-`test_exec_in_container_propagates_hermes_exit_code` — no subprocess.run to check exit codes; execvp replaces the process. Note: exit code propagation still works correctly — when `os.execvp` succeeds, the container's process *becomes* this process, so its exit code is the process exit code by OS semantics. No application code needed, no test needed. A comment in the function docstring documents this intent for future readers.
---
## Out of Scope
- Auto-configuring sudoers rules in the NixOS module
- Any changes to `get_container_exec_info` parsing logic beyond the try/except narrowing
- Changes to `.container-mode` file format
- Changes to the `HERMES_DEV=1` bypass
- Changes to container detection logic (`_is_inside_container`)
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