When auxiliary.<task> config has base_url set but api_key is empty
(common when user expects env var fallback), _resolve_task_provider_model()
returned provider="custom" with api_key=None. This caused downstream
client construction to make API calls without an Authorization header,
resulting in HTTP 401 errors.
Fix: only return "custom" when BOTH cfg_base_url AND cfg_api_key are
non-empty. When base_url is set without api_key but with a known
provider (e.g. "openrouter"), pass through to that provider so it can
resolve credentials from environment variables.
Fixes#16829
When context compression rotates the agent's session_id to a new
child session, the API server was still returning the stale parent
session_id in the X-Hermes-Session-Id response header.
This caused external clients to keep sending the old session_id,
loading uncompressed parent history instead of the compressed
continuation.
Fix: _run_agent() now includes the effective session_id in its
result dict, and the response header uses it instead of the
original provided session_id.
hermes config set model.aliases.xxx commands write to the model.aliases
nested key, but _load_direct_aliases() only read from the top-level
model_aliases key. This meant aliases set via hermes config set were
invisible to the /model command, and unrecognised inputs fell through
to the DeepSeek normaliser which mapped everything to deepseek-chat.
Add a second pass in _load_direct_aliases() that reads model.aliases
and converts string-value entries (provider/model format) into
DirectAlias objects. The provider is parsed from the slash prefix;
if no slash, the current default provider from config is used.
Also prevent simple aliases from overriding explicit model_aliases
dict entries when both exist.
Copilot review on PR #17012 noted the docstring/comment lists `0`
among the falsy effort values that fall back to `medium`, but the
existing regression tests only cover `None` and `""`. Add the third
case to lock in the full contract.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
auxiliary.<task>.extra_body.reasoning, but the new translation path in
_CodexCompletionsAdapter.create() reads the effort with
``reasoning_cfg.get("effort", "medium")``. That returns the configured
value verbatim when the key is present, so ``effort: null`` /
``effort: ""`` (both common YAML shapes) flow through as
``{"effort": null, "summary": "auto"}`` and Codex rejects the request
with "Invalid value for parameter ``reasoning.effort``".
agent/transports/codex.py::build_kwargs() — which the new adapter is
documented to mirror — uses a truthy check (``elif
reasoning_config.get("effort"):``) so the same falsy values keep the
"medium" default. Switch the auxiliary adapter to the same
``or "medium"`` truthy form so identical config produces identical
requests on both paths.
- [x] Two new regression tests cover ``effort: None`` and
``effort: ""`` and assert the request goes out as
``{"effort": "medium", "summary": "auto"}``.
- [x] Old behaviour fails the new tests (``{'effort': None} !=
{'effort': 'medium'}``); fixed behaviour passes all 11 tests in the
``TestCodexAdapterReasoningTranslation`` class.
- [x] Adjacent suites green: ``tests/agent/test_auxiliary_client.py``
(108 passed) and ``tests/agent/transports/test_codex_transport.py +
test_chat_completions.py`` (73 passed).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Sends a lightweight list_tools() probe every 3 minutes during idle
periods to prevent TCP connections from going stale behind LB / NAT
idle timeouts (commonly 300-600s). When the keepalive fails, the
reconnect event fires so the transport rebuilds the session cleanly.
Salvages the keepalive portion of @vominh1919's PR #17016. The
circuit-breaker half-open recovery from the same PR was independently
landed on main via #benbarclay's commit 8cc3cebca ("fix(mcp): add
half-open state to circuit breaker", Apr 21); only the keepalive is
salvaged here.
Fixes#17003.
The API server is a documented, first-class messaging platform with its own
gateway adapter, docs pages, and toolset. But it's the only messaging
platform missing from PLATFORM_HINTS in agent/prompt_builder.py.
Without a platform hint, the agent has no context about the API server's
rendering environment and defaults to markdown-heavy document-style outputs
(code fences, bold, bullet points) — which break on the plain-text frontends
most API server consumers wrap (Open WebUI, custom agents, third-party
bridges).
Adds a generic api_server entry that describes the medium (unknown rendering,
assume plain text) without encoding any specific use case. Individual consumers
can layer additional style guidance via ephemeral system prompts.
Before (DeepSeek V4 Pro via API server, no hint):
**Sendblue bridge** at /opt/sendblue-bridge - **68MB** on disk
After (same prompt, with hint):
Sendblue bridge at /opt/sendblue-bridge, 68MB on disk
No breaking changes — new dict entry only. Existing API server consumers see
no behavioral change except for models that previously defaulted to markdown
formatting, which now produce cleaner plain-text output.
Previously, pinning a skill blocked every skill_manage write action
(edit, patch, delete, write_file, remove_file). The 'hard fence'
design conflated two concerns:
1. Pin as deletion protection — don't let the curator archive
or the agent delete a stable skill.
2. Pin as content freeze — don't let the agent rewrite it mid-conversation.
In practice (1) is what users pin for: they want a skill to survive
curator passes. (2) created friction — agents finding a new pitfall
in a pinned skill had to ask the user to unpin, then the agent
patches, then the user re-pins. The dance discouraged skill
maintenance and pinned skills went stale.
This narrows the _pinned_guard to skill_manage(action='delete') only.
Patches, edits, and supporting-file writes go through on pinned
skills so the agent can keep improving them. The curator's own
pinned-skip behavior (agent/curator.py:271 for auto-archive,
line 349 for the LLM review prompt) is unchanged — curator still
never touches pinned skills.
Changes:
- tools/skill_manager_tool.py: remove _pinned_guard calls from
_edit_skill, _patch_skill, _write_file, _remove_file; keep on
_delete_skill. Updated _pinned_guard docstring and error message.
- tools/skill_manager_tool.py: updated skill_manage model-facing tool
description to reflect the new semantic.
- website/docs/user-guide/features/curator.md: updated pinning
section.
- tests/tools/test_skill_manager_tool.py: flipped refuses-pinned
tests for edit/patch/write_file/remove_file into allowed-when-pinned;
kept test_delete_refuses_pinned (strengthened assertion to check the
'cannot be deleted' wording).
Closes#18354
* feat(api-server): X-Hermes-Session-Key header for long-term memory scoping
API Server integrations (Open WebUI, custom web UIs) can now pass a stable
per-channel identifier via X-Hermes-Session-Key that scopes long-term memory
(Honcho, etc.) independently of the transcript-scoped X-Hermes-Session-Id.
This matches the native gateway's session_key / session_id split: one stable
key per assistant channel, many independent transcripts that rotate on /new.
- _create_agent and _run_agent accept gateway_session_key and pass it to
AIAgent(gateway_session_key=...), which is already honored by the Honcho
memory provider (plugins/memory/honcho/client.py resolve_session_name).
- New shared helper _parse_session_key_header applies the same API-key
gate, control-character sanitization, and a 256-char length cap as the
existing session-id header.
- All three agent endpoints honor the header: /v1/chat/completions,
/v1/responses, /v1/runs. JSON and SSE responses echo it back.
- /v1/capabilities advertises session_key_header so clients can
feature-detect.
Closes#20060.
Co-authored-by: Andy Stewart <lazycat.manatee@gmail.com>
* chore: AUTHOR_MAP entry for manateelazycat
---------
Co-authored-by: Andy Stewart <lazycat.manatee@gmail.com>
* fix(curator): protect hub skills by frontmatter name
* test(skill_usage): add mark_agent_created to regression test
The cherry-picked test predates #19618/#19621 which rewrote
list_agent_created_skill_names() to require an explicit
created_by: 'agent' provenance marker. Without mark_agent_created(),
my-skill is excluded from the list and the positive assertion fails.
* feat(curator): add archive and prune subcommands
Adds 'hermes curator archive <skill>' and 'hermes curator prune
[--days N] [--yes] [--dry-run]' alongside the existing status, run,
pause, resume, pin, unpin, restore, backup, rollback verbs.
These are the two genuinely new user-facing verbs requested in #19384.
The other verbs proposed there ('stats' and 'restore') already exist
as 'curator status' and 'curator restore', so no duplicate surface is
added — all skill lifecycle commands live under the single 'hermes
curator' namespace.
- archive: manual archive of an agent-created skill. Refuses pinned
skills with a hint pointing at 'hermes curator unpin'.
- prune: bulk-archive unpinned skills idle for >= N days (default 90).
Falls back to created_at when last_activity_at is null so never-used
skills can still be pruned. --dry-run previews, --yes skips prompt.
Adapted from @elmatadorgh's PR #19454 which placed the same verbs
under 'hermes skills' with a separate hermes_cli/skills_config.py
handler and rich table for stats. The 'stats' and 'restore' parts of
that PR duplicated existing surface, so only archive and prune are
kept, rewritten to match hermes_cli/curator.py's existing plain-text
handler style. Tests rewritten from scratch against the new handlers.
Closes#19384
Co-authored-by: elmatadorgh <coktinbaran5@gmail.com>
---------
Co-authored-by: LeonSGP43 <cine.dreamer.one@gmail.com>
Co-authored-by: elmatadorgh <coktinbaran5@gmail.com>
The user_message parameter was accepted by get_prefetch_context but intentionally discarded, with the rationale that passing it would
expose conversation content in server access logs.
This rationale is inconsistent: Honcho already persists every message in full via saveMessages. The content is already in the database. A search query in an access log adds negligible additional exposure, and is moot for self-hosted Honcho deployments where the operator owns the logs.
Without search_query, Honcho returns the full peer representation -
all observations, deductive/inductive layers, and peer card - in
insertion order. When contextTokens is set, the most useful parts
(peer card, dialectic conclusions) are truncated because raw
observations fill the budget first.
Passing user_message as search_query enables Honcho's semantic
retrieval to return only conclusions relevant to the current session
topic, reducing injection noise and improving context quality on cold starts.
The _fetch_peer_context method already accepts and passes search_query to the Honcho API. This change simply connects the two.
WeCom doesn't pad base64 aeskey, causing Python strict mode decode failure
on media/image/file messages. Add automatic padding before base64 decode:
aes_key + '=' * ((4 - len(aes_key) % 4) % 4).
Salvages the AES padding fix from @chengoak's PR #17040. The SSRF whitelist
entry for a private COS bucket hostname was dropped as it belongs in user
config, not the built-in trusted-private-IP-hosts list. The debug-level
full-body info log was dropped to avoid logging potentially sensitive
message content at INFO level.
Covers four scenarios for the reasoning-box extraction loop:
- simple turn with reasoning
- simple turn with no reasoning
- tool-calling turn where reasoning lives on the tool-call step
- prior turn had reasoning, current turn does not (the stale-display
bug the fix exists for)
- tool-calling turn where reasoning lives on BOTH steps (latest wins)
- empty-string reasoning treated as missing
Also updates the four inline replica loops in tests/cli/test_reasoning_command.py
to match the new turn-boundary shape so the test file reflects
production semantics.
The reasoning-box extraction loop in run_conversation() walked backwards
through the entire message history looking for any assistant message
with a non-empty 'reasoning' field. When the current turn produced
no reasoning (e.g. the provider returned reasoning_content=null for a
trivial response), the loop walked past the current turn and showed
reasoning from a prior turn — stale text from minutes or hours ago
displayed as if it belonged to the current reply.
Fix: stop the walk at the user message that started the current turn.
That picks the most recent reasoning WITHIN the turn (correct for
tool-calling turns where reasoning lands on the tool-call step and
the final-answer step has reasoning=None — common on Claude thinking,
DeepSeek v4, Codex Responses), and returns None cleanly when the
current turn genuinely had no reasoning.
Co-authored-by: happy5318 <happy5318@users.noreply.github.com>
The YAML-to-env-var bridge in load_gateway_config() mapped every Discord
and Telegram config key (require_mention, auto_thread, reactions, etc.)
except reply_to_mode. Users setting discord.reply_to_mode or
telegram.reply_to_mode in ~/.hermes/config.yaml got no effect — the
adapter only read the env var, which nothing populated from YAML.
Add the missing bridge for both platforms, following the existing pattern.
Top-level <platform>.reply_to_mode preferred, falls back to
<platform>.extra.reply_to_mode, env var never overwritten. Handles YAML
1.1 bare `off` → Python False coercion.
This is a re-submission of the work from #9837 and #13930, which both
implemented the same fix but neither landed (see co-authors below).
Co-authored-by: Matteo De Agazio <hypnosis.mda@gmail.com>
Co-authored-by: ishardo <239075732+ishardo@users.noreply.github.com>
* revert(gateway): remove stale-code self-check and auto-restart
Removes the _detect_stale_code / _trigger_stale_code_restart mechanism
introduced in #17648 and iterated in #19740. On every incoming message
the gateway compared the boot-time git HEAD SHA to the current SHA on
disk, and if they differed it would reply with
Gateway code was updated in the background --
restarting this gateway so your next message runs
on the new code. Please retry in a moment.
and then kick off a graceful restart. This is unwanted behaviour:
users who run a long-lived gateway and do their own ad-hoc git
operations on the checkout end up with their chat interrupted and
the current message dropped every time HEAD moves, with no way to
opt out.
If an operator really needs the old protection against stale
sys.modules after "hermes update", the SIGKILL-survivor sweep in
hermes update (hermes_cli/main.py, also tagged #17648) already
handles the supervisor-respawn case on its own.
Removed:
gateway/run.py:
- _STALE_CODE_SENTINELS, _GIT_SHA_CACHE_TTL_SECS
- _read_git_head_sha(), _compute_repo_mtime() module helpers
- class-level _boot_wall_time / _boot_repo_mtime / _boot_git_sha /
_stale_code_restart_triggered defaults
- __init__ boot-snapshot block (_boot_*, _cached_current_sha*,
_repo_root_for_staleness, _stale_code_notified)
- _current_git_sha_cached(), _detect_stale_code(),
_trigger_stale_code_restart() methods
- stale-code check + user-facing restart notice at the top of
_handle_message()
tests/gateway/test_stale_code_self_check.py (deleted, 412 lines)
No new logic added. Zero remaining references to any removed
symbol. Gateway test suite passes the same 4589 tests it passed
before; the 3 pre-existing unrelated failures (discord free-channel,
feishu bot admission, teams typing) are unchanged by this commit.
* docs(quickstart): link Onchain AI Garage Hermes tutorials playlist
Adds a 'Prefer to watch?' tip callout near the top of the quickstart page pointing to @OnchainAIGarage's Hermes Agent Tutorials + Use Cases playlist, which includes a Masterclass series covering install, setup, and basic commands.
* docs(quickstart): embed Masterclass video in Prefer to watch section
Swaps the plain-link tip callout for an inline responsive YouTube embed of the Hermes Agent Masterclass (R3YOGfTBcQg) plus a kept link to the full Onchain AI Garage tutorials playlist.
The cherry-picked test predates #19618/#19621 which rewrote
list_agent_created_skill_names() to require an explicit
created_by: 'agent' provenance marker. Without mark_agent_created(),
my-skill is excluded from the list and the positive assertion fails.
Closes the gap where write_file skipped the post-edit syntax check that
patch already ran, so silent file corruption (bad quote escaping,
truncated writes, etc.) would persist on disk until a later read.
## Changes
tools/file_operations.py:
- Add in-process linters for .py, .json, .yaml, .toml (LINTERS_INPROC).
Python uses ast.parse, JSON/YAML/TOML use stdlib/PyYAML parsers.
Zero subprocess overhead; preferred over shell linters when both apply.
- _check_lint() now accepts optional content and routes to in-process
linter first. Shell linter (py_compile, node --check, tsc, go vet,
rustfmt) remains the fallback for languages without an in-process
equivalent.
- New _check_lint_delta() implements the post-first/pre-lazy pattern
borrowed from Cline and OpenCode: lint post-write state first; only
if errors are found AND pre-content was captured does it lint the
pre-state and diff. If the pre-existing file had the SAME errors the
edit didn't introduce anything new, so the file is reported as 'still
broken, pre-existing' with success=False but a message explaining the
errors were pre-existing. If the edit introduced genuinely new errors,
those are surfaced and pre-existing ones are filtered out.
- WriteResult gains a lint field.
- write_file() captures pre-content for in-process-lintable extensions
and calls _check_lint_delta after a successful write.
- patch_replace() switches from _check_lint to _check_lint_delta,
reusing the pre-edit content it already has in scope.
tools/file_tools.py:
- Update write_file schema description to mention the post-write lint.
tests/tools/test_file_operations_edge_cases.py:
- Update existing brace-path tests to use .js (shell linter) now that
.py is in-process.
- Add TestCheckLintInproc (9 tests) covering Python/JSON/YAML/TOML
in-process linters.
- Add TestCheckLintDelta (5 tests) covering the post-first/pre-lazy
short-circuit, new-file path, and the single-error-parser caveat.
## Performance
In-process linters are microseconds per call (ast.parse, json.loads).
The hot path (clean write) runs exactly one lint — matches main's cost
for patch. Pre-state capture is skipped when the file has no applicable
linter. Measured 4.89ms/write average over 100 .py writes including lint.
## Inspiration
- Cline's DiffViewProvider.getNewDiagnosticProblems() — filters pre-write
diagnostics from post-write diagnostics (src/integrations/editor/DiffViewProvider.ts).
- OpenCode's WriteTool — runs lsp.diagnostics() after write and appends
errors to tool output (packages/opencode/src/tool/write.ts).
- Claude Code's DiagnosticTrackingService — captures baseline via
beforeFileEdited() and returns new-diagnostics-only from
getNewDiagnostics() (src/services/diagnosticTracking.ts).
## Validation
- tests/tools/test_file_operations.py + test_file_operations_edge_cases.py
+ test_file_tools.py + test_file_tools_live.py + test_file_write_safety.py
+ test_write_deny.py + test_patch_parser.py + test_file_ops_cwd_tracking.py:
228 passed locally.
- Live E2E reproduction of the tips.py corruption incident: broken
content written; lint field surfaces 'SyntaxError: invalid syntax.
Perhaps you forgot a comma? (line 6, column 5)' — the exact error
that would have self-corrected the bug on the next turn.
When the head ends with assistant/tool and the tail starts with assistant,
the summary is inserted as a standalone role="user" message. The body's
verbatim "## Active Task" quote then gets read as fresh user input by
weak/local models (#11475, #14521).
The merge-into-tail path already appends an explicit end-of-summary marker
for this reason. Mirror it on the standalone path so both insertion routes
give the model the same "summary above, not new input" signal.
The useEffect at useMainApp.ts:546-565 calls gw.kill() in its cleanup function. React calls cleanup on every re-render when the dependency array ([gw, sys]) shifts — which happens whenever sys changes identity (any system message). This sends SIGTERM to the Python TUI gateway subprocess, silently killing the backend mid-session.
The kill path was already handled by entry.tsx's setupGracefulExit for real app exits (SIGINT, uncaught exception). The die() function also calls gw.kill() for explicit user exit. Removing the cleanup kill leaves all exit paths covered while preventing accidental mid-session kills on ordinary React re-renders.
discover_fallback_ips() filtered out any DoH-resolved IP that also appeared
in the system resolver's answer set, on the assumption that the system IP
was unreachable. When DoH and system DNS agreed (a common case), the
function returned the hardcoded _SEED_FALLBACK_IPS list instead — and on
networks where those seed addresses are not routable, the Telegram fallback
transport had nothing usable to retry against and polling failed.
Drop the system_ips exclusion so DoH-confirmed IPs are preserved regardless
of system DNS overlap. The TelegramFallbackTransport already tries the
primary path first via system DNS, then falls through to the IP-rewrite
path on connect failure; including the same IP in both lanes lets a
transient primary failure recover via the explicit IP route instead of
escalating to seed addresses.
Update the two tests that codified the old exclusion to reflect the new,
inclusion-by-default behaviour.
Fixes#14520
The helper under test writes to os.environ directly, bypassing
monkeypatch tracking. Without an explicit snapshot/restore fixture,
the mutation leaks into subsequent tests and breaks TestSharedBoardPaths
(kanban path resolution reads HERMES_KANBAN_BOARD and routes through
boards/<leaked-slug>/ instead of the test's own HERMES_HOME).
Add an autouse fixture that snapshots the env var before the test and
restores (or pops) it after, regardless of what the helper did.
Without an explicit pin, in-process kanban tools and shelled-out
`hermes kanban …` subprocesses resolve the active board on different
paths: the env var when set, otherwise the global `<root>/kanban/current`
file. When a concurrent session toggles the current-board pointer
mid-turn, the same chat ends up routing tool calls to board A while its
shell calls hit board B, surfacing as phantom "no such task" errors.
Pin the resolved board into env once at `cmd_chat` boot when
HERMES_KANBAN_BOARD isn't already set. Mirrors what the dispatcher does
for spawned workers (kanban_db.py:2622-2623). Idempotent and a no-op
when the env is already pinned by the caller.
Closes#20074
* revert(gateway): remove stale-code self-check and auto-restart
Removes the _detect_stale_code / _trigger_stale_code_restart mechanism
introduced in #17648 and iterated in #19740. On every incoming message
the gateway compared the boot-time git HEAD SHA to the current SHA on
disk, and if they differed it would reply with
Gateway code was updated in the background --
restarting this gateway so your next message runs
on the new code. Please retry in a moment.
and then kick off a graceful restart. This is unwanted behaviour:
users who run a long-lived gateway and do their own ad-hoc git
operations on the checkout end up with their chat interrupted and
the current message dropped every time HEAD moves, with no way to
opt out.
If an operator really needs the old protection against stale
sys.modules after "hermes update", the SIGKILL-survivor sweep in
hermes update (hermes_cli/main.py, also tagged #17648) already
handles the supervisor-respawn case on its own.
Removed:
gateway/run.py:
- _STALE_CODE_SENTINELS, _GIT_SHA_CACHE_TTL_SECS
- _read_git_head_sha(), _compute_repo_mtime() module helpers
- class-level _boot_wall_time / _boot_repo_mtime / _boot_git_sha /
_stale_code_restart_triggered defaults
- __init__ boot-snapshot block (_boot_*, _cached_current_sha*,
_repo_root_for_staleness, _stale_code_notified)
- _current_git_sha_cached(), _detect_stale_code(),
_trigger_stale_code_restart() methods
- stale-code check + user-facing restart notice at the top of
_handle_message()
tests/gateway/test_stale_code_self_check.py (deleted, 412 lines)
No new logic added. Zero remaining references to any removed
symbol. Gateway test suite passes the same 4589 tests it passed
before; the 3 pre-existing unrelated failures (discord free-channel,
feishu bot admission, teams typing) are unchanged by this commit.
* fix(agent): stateful streaming scrubber for reasoning-block leaks (#17924)
Per-delta _strip_think_blocks ran at _fire_stream_delta and destroyed
downstream state. When MiniMax-M2.7 / DeepSeek / Qwen3 streamed a tag
split across deltas (delta1='<think>', delta2='Let me check'), the
regex case-2 match erased delta1 entirely, so CLI/gateway state
machines never learned a block was open and leaked delta2 as content.
Raw consumers (ACP, api_server, TTS) had no downstream defense at all.
Replace the per-delta regex with a stateful StreamingThinkScrubber
that survives delta boundaries:
- Closed <tag>X</tag> pairs always stripped (matches _strip_think_blocks
case 1).
- Unterminated open at block boundary enters a block; content
discarded until close tag arrives. At end-of-stream, held
content is dropped.
- Orphan close tags stripped without boundary gating.
- Partial tags at delta boundaries held back until resolved.
- Block-boundary rule (start-of-stream, after \n, or
whitespace-only since last \n) preserves prose that mentions
tag names.
Reset at turn start alongside the existing context scrubber; flush at
turn end so a benign '<' held back at end-of-stream reaches the UI.
E2E-verified on live OpenRouter->MiniMax-m2 streams: closed pairs
strip cleanly, first word of post-block content is preserved, pure
content passes through unchanged. Stefan's screenshot case (#17924)
— 'Let me check' getting chopped to ' me check' — no longer happens.
Final _strip_think_blocks calls on completed strings (final_response,
replay, compression) are preserved; only the streaming per-delta call
site switched to the scrubber.
MCP servers commonly emit JSON Schema `pattern` (e.g. `\\d{4}-\\d{2}-\\d{2}`
for date-time params) and `format` keywords. llama.cpp's
`json-schema-to-grammar` converter rejects regex escape classes
(\\d/\\w/\\s) and most format values, returning HTTP 400
"parse: error parsing grammar: unknown escape at \\d" — the whole request
fails.
Cloud providers (OpenAI, Anthropic, OpenRouter, Gemini) accept these
keywords fine and use them as prompting hints. Stripping unconditionally
loses useful hints for every cloud user to fix a llama.cpp-only bug.
Approach: classify the llama.cpp grammar-parse 400 in the error
classifier, and on match do a one-shot in-place strip of pattern/format
from `self.tools`, then retry. Follows the existing
`thinking_signature` recovery pattern. Cloud users hit zero overhead;
llama.cpp users pay one failed request per session.
Changes
- agent/error_classifier.py: new `FailoverReason.llama_cpp_grammar_pattern`
+ narrow HTTP-400 branch matching "error parsing grammar",
"json-schema-to-grammar", or "unable to generate parser ... template".
- tools/schema_sanitizer.py: new `strip_pattern_and_format()` helper —
reactive, walks schema nodes, skips property names (search_files.pattern
survives). Returns strip count for logging.
- run_agent.py: new one-shot recovery block in the retry loop. Strips,
logs, continues. Falls through to normal retry if nothing to strip.
- tests: 4 classifier tests (3 variants + 1 non-400 negative), 7 strip
tests including the property-name preservation and idempotency checks.
Co-authored-by: Chris Danis <cdanis@gmail.com>
After PR #20105 (dispatcher skips ready tasks whose assignee fails
``profile_exists()`` to prevent the orion-cc/orion-research crash
loop), the gateway and CLI emit a spurious "kanban dispatcher stuck:
ready queue non-empty for N consecutive ticks but 0 workers spawned"
warning every 5 minutes on multi-lane setups where the queue is
steadily full of human-pulled work assigned to terminal lanes.
The warn is intended to catch real failure modes (broken PATH,
missing venv, credential loss for a real Hermes profile). On a
multi-lane host it fires forever even though everything is healthy:
the dispatcher correctly chose not to spawn, and there is nothing
for the operator to fix.
Changes:
* ``DispatchResult`` gains a ``skipped_nonspawnable`` field
(separate from ``skipped_unassigned``) so callers can distinguish
"task missing an owner — operator should route it" from "task
owned by a control-plane lane — terminal will pull it".
* ``dispatch_once`` routes the ``not profile_exists(assignee)`` skip
into the new bucket (was lumped into ``skipped_unassigned``).
* New helper ``has_spawnable_ready(conn)`` returns True iff at least
one ready+assigned+unclaimed task in the DB has an assignee that
maps to a real Hermes profile. Falls back to legacy "any
ready+assigned" when ``profile_exists`` is unimportable so degraded
installs still surface the original warn.
* The gateway dispatcher (``gateway/run.py``) and the CLI standalone
daemon (``hermes_cli/kanban.py``) both swap their cheap
``ready_nonempty`` probe to use ``has_spawnable_ready``. Stuck-warn
now fires only when there is genuine spawnable work the dispatcher
failed to start.
* CLI dispatch output prints ``Skipped (non-spawnable assignee —
terminal lane, OK)`` for visibility without alarm.
Tests:
* New ``has_spawnable_ready`` cases (empty queue, terminal-lane
only, mixed real+terminal).
* New ``test_dispatch_skips_nonspawnable_into_separate_bucket``
verifies the bucketing change.
* Updated ``test_dispatch_skips_unassigned`` to assert no
cross-leak.
* Added ``all_assignees_spawnable`` fixture in
``tests/hermes_cli/conftest.py`` and threaded it through dispatcher
tests that use synthetic assignees ("alice", "bob"). PR #20105
(the parent commit) silently broke 8 such tests by routing those
assignees into ``skipped_nonspawnable`` instead of spawning; this
PR repairs them as part of the same code area.
Verified locally: 246/246 kanban-suite tests pass.
Stacks on top of fix/kanban-dispatcher-skip-missing-profile-2026-05-05
(PR #20105). Reviewer: this PR is meant to merge AFTER #20105.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The kanban dispatcher's `_default_spawn` invokes
``hermes -p <task.assignee> chat -q ...``. When ``assignee``
names a control-plane lane (e.g. an interactive Claude Code
terminal like ``orion-cc`` / ``orion-research``) instead of a
real Hermes profile, the subprocess fails on startup with
"Profile 'X' does not exist", gets reaped as a zombie, the
TTL/crash detector marks the task back to ``ready``, and the
next tick re-spawns the same crashing worker. Result: a
permanent crash loop emitting ``spawned=2 crashed=2 every tick``
in the gateway log and burning CPU forever.
Reproduce on a fresh Hermes-agent install:
# 1. Create a kanban task whose assignee names a non-profile.
hermes kanban create --assignee orion-cc --status ready \
--title "Review PR #N" --body "..."
# 2. Start the gateway with the embedded dispatcher.
hermes gateway run
# gateway.log lines every minute:
# kanban dispatcher: tick spawned=1 reclaimed=0 crashed=1 ...
# 3. ps -ef | grep '[h]ermes.*defunct' shows zombies.
Fix
---
``dispatch_once()`` now pre-checks ``hermes_cli.profiles.
profile_exists(assignee)`` before claiming. If False, the row
is added to ``skipped_unassigned`` (it's effectively
"unassigned-to-an-executable-profile") and the dispatcher
moves on without claiming, spawning, or counting a crash.
The check is opt-in safe: if the import fails (e.g. test
isolation, profile module restructured), ``profile_exists``
falls back to ``None`` and the original behaviour is preserved
unchanged.
This addresses the explicit hint in the kanban task body
(``t_2bab06e3``):
"Should ready-state tasks auto-spawn at all, or only on
explicit orion-cc claim? If spurious, gate the auto-spawn
behind a config flag (e.g. only assignee=hermes or
assignee=auto)."
Profile-existence is a tighter gate than a config flag — it
self-documents (the user already knows whether they have an
``orion-cc`` profile), and it doesn't require Mac to maintain
an allowlist as new lane names appear. New lanes that ARE
real profiles (created via ``hermes profile create``) auto-
qualify the moment the profile dir is created.
Validated live
--------------
On Orion's hermes-agent install, two ``orion-research``-
assigned tasks (Bug A and Bug C investigations) had been
crash-looping since 2026-05-05 06:58 local. After applying
the patch + restarting the gateway:
- Stale ``running`` claims released to ``ready`` cleanly.
- New gateway emitted ``kanban dispatcher: embedded`` and
has ticked silently for 2+ minutes — no spawned=,
crashed=, or stuck= log lines (all spawn skips are quiet).
- Tasks remain ``ready`` with ``claim_lock=None``,
``worker_pid=None``, ``spawn_failures=0``.
- Dashboard + telegram + freqtrade unaffected.
Confidence: high (live verified on Orion).
Scope-risk: narrow (additive guard inside one function).
Not-tested: behaviour when a profile is renamed mid-tick —
current code re-imports ``profile_exists`` per row so a
freshly created profile auto-qualifies on the next tick.
Machine: orion-terminal
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
hermes setup / hermes model used to silently skip the key prompt when
any value was present in .env — even a malformed paste — leaving users
with a stuck '✓' and no way to recover without hand-editing .env.
Replace the silent acknowledgement at all three API-key provider flows
(Kimi, Stepfun, generic) with a single [K]eep / [R]eplace / [C]lear
menu via a shared `_prompt_api_key` helper.
- K / Enter / Ctrl-C / unknown input → keep (never destroys the key)
- R → getpass for new key; empty input cancels and preserves existing
- C → clears the env var, tells user to rerun hermes setup, aborts flow
LM Studio's no-auth-placeholder substitution stays on first-time entry
only; on Replace an empty input means 'cancel', not 'overwrite with
dummy key'.
11 unit tests cover all branches incl. garbage-input-keeps-key, Ctrl-C
at the choice prompt, Replace-cancel preserving the old key, Clear
wiping only the target env var, and lmstudio placeholder semantics.
Fixes#16394
Reshapes #18355 — original PR pasted the menu inline at 3 sites with
no tests; this consolidates to one helper (+88/-66) with coverage.
Co-authored-by: Feranmi10 <89228157+Feranmi10@users.noreply.github.com>
