- 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
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
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>
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.
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
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)
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).
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>
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
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
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.
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.
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.
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
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
- 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.
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.
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
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
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).
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.
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>
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.
