Config-driven platform policies (dm_policy / group_policy / allow_from /
group_allow_from) for WeCom, Weixin, Yuanbao, and QQBot now work without
also setting a PLATFORM_ALLOWED_USERS env var.
These adapters enforce their access policy at intake — a message is dropped
inside the adapter and never dispatched unless it already passed the policy.
The gateway's env-based check (_is_user_authorized) ran afterward and, with
no env allowlist set, fell through to an env-only default-deny — silently
rejecting `dm_policy: open` and config-only allowlists the adapter had
already authorized.
Rather than re-implement each adapter's policy a second time in run.py
(which would drift), adapters that own their gate now declare it via a new
BasePlatformAdapter.enforces_own_access_policy property (default False). The
gateway trusts that flag and skips the env-only default-deny for those
platforms. Env allowlists still take precedence when set.
Also resolves unauthorized DM behavior from config dm_policy so allowlist /
disabled policies drop unauthorized DMs silently instead of leaking pairing
codes, while an explicit pairing policy opts back in.
Co-authored-by: Frowtek <frowte3k@gmail.com>
Reporter diagnosed three independent gaps that together allowed infinite
'unblock → re-stuck' loops with no surfacing or escalation:
GAP 1: `_rule_stuck_in_blocked` resets timer on any `commented`/`unblocked`
event, so a task that cycles every few minutes is invisible to it
regardless of how many times it cycles.
Fix: new `_rule_block_unblock_cycling` rule (`hermes_cli/kanban_diagnostics.py`)
that counts block→unblock cycles in a sliding window. Default threshold
3 cycles within 24h, configurable via `block_cycle_threshold` /
`block_cycle_window_seconds`. Walks events in arrival order (event id)
since multiple events can share the same `created_at` second. Fires as a
warning with a CLI hint to inspect the block reasons.
GAP 2: Iteration-budget-exhausted runs in kanban workers map to
`kanban_block` (status=blocked, but a clean exit from the kernel's
perspective). `_rule_repeated_failures` reads `consecutive_failures`,
which `_record_task_failure` increments only for crashed/timed_out/
spawn_failed — `blocked` outcome bypasses the failure counter, so the
`kanban.failure_limit` circuit breaker never trips on budget-exhaustion
loops.
Fix: `agent/conversation_loop.py` budget-exhaustion path now calls
`_record_task_failure(outcome="timed_out")` instead of `kanban_block`.
Budget exhaustion is genuinely a timeout-shaped failure (the task ran out
of allowed iterations), so this is more honest semantics; it also routes
through the unified failure counter, so repeated budget exhaustions trip
the circuit breaker and the task auto-blocks with `gave_up` after
`failure_limit` retries.
GAP 3: `release_stale_claims` uses `_pid_alive(worker_pid)` only and
ignores `last_heartbeat_at`. Reporter observed a 91-min run that held
its claim with frozen heartbeat because the worker entered a logic loop
with no tool calls — `_pid_alive` kept returning True so the claim was
extended every 15 minutes indefinitely.
Fix: heartbeat-stale backstop. If `last_heartbeat_at` is set AND older
than `DEFAULT_CLAIM_HEARTBEAT_MAX_STALE_SECONDS` (default 1h), reclaim
even if the PID is alive. NULL `last_heartbeat_at` preserves backward
compatibility (no heartbeat yet = extend, as before). The reclaim event
payload now includes a `heartbeat_stale` boolean so operators see why a
live-PID worker was reclaimed.
This works cleanly in concert with PR #34418 (#31752 runtime → heartbeat
bridge): once `_touch_activity` keeps `last_heartbeat_at` fresh as a
side effect of normal API traffic, the backstop only fires for genuinely
wedged workers (no chunks, no tool results, no progress at all).
Co-authored-by: baofuen <45189813+baofuen@users.noreply.github.com>
The dispatcher watchdog (release_stale_claims) reads tasks.last_heartbeat_at
to decide whether to reclaim a running task. The agent maintains its own
in-process `_last_activity_ts` for every chunk/tool result, but those
liveness ticks never reach the board unless the model explicitly calls
the `kanban_heartbeat` tool — so a worker actively executing a long run
without tool-level heartbeats can be reclaimed mid-flight as 'stale',
returning the task to ready and orphaning the in-flight worker's progress.
Fix: in `_touch_activity` (the canonical 'we just did work' hook in
run_agent.py), call a new `heartbeat_current_worker_from_env` helper
in `tools/kanban_tools.py` that:
- No-ops outside dispatcher-spawned worker context (no HERMES_KANBAN_TASK).
- Rate-limited to one DB write per 60s (runtime activity ticks too often
to faithfully mirror; we just need the watchdog to see liveness).
- Best-effort: never raises. heartbeat_claim + heartbeat_worker calls are
individually try/except'd; any DB error logs at debug and returns.
- Uses worker env identity: HERMES_KANBAN_TASK + HERMES_KANBAN_RUN_ID +
HERMES_KANBAN_CLAIM_LOCK (all pinned by the dispatcher at spawn time).
- No durable note on auto-heartbeats — that's reserved for the explicit
`kanban_heartbeat` tool which carries a model-supplied note.
The explicit `kanban_heartbeat` tool stays available unchanged for
workers that want to attach a note or pre-emptively extend a claim
across a known-long single tool call.
Co-authored-by: faisfamilytravel <223516181+faisfamilytravel@users.noreply.github.com>
Kanban workers run headless — no live user is on the other side of `clarify`,
so the call times out (~120s default) and the task sits silently in `running`
with no signal to the operator that input is needed. Reporter observed a real
incident where a worker asked 'promote to production, or check staging first?'
via clarify, the call timed out, the agent hallucinated a fallback, and the
task sat 'running' for hours.
Fix: explicit 'do not call clarify' bullet in two surfaces every kanban worker
sees —
- `agent/prompt_builder.py` KANBAN_GUIDANCE `## Do NOT` section (auto-injected
into every dispatcher-spawned worker run).
- `skills/devops/kanban-worker/SKILL.md` `## Do NOT` section (the bundled
worker skill).
Both point at the right pattern: `kanban_comment` (context) + `kanban_block`
(decision needed) — the task surfaces on the board as blocked, the operator
sees it, unblocks with their answer in a comment, and the worker respawns
with the thread.
Co-authored-by: kweiner <17778+kweiner@users.noreply.github.com>
`hermes kanban unblock <id> review-required: ...` parsed every trailing word
as another task_id (since `task_ids` is `nargs='+'`), then quietly failed on
each non-existent id with "cannot unblock review-required: (not blocked/scheduled?)".
Reporter saw this as asymmetric with `block <id> <reason...>` which accepts
positional reason words.
Fix: add a `--reason "..."` flag that, when provided, is appended as a
`UNBLOCK: <reason>` comment before the unblock transition. Bulk syntax
(`unblock t_a t_b t_c`) is preserved unchanged.
Co-authored-by: julio-cloudvisor <211828103+julio-cloudvisor@users.noreply.github.com>
The xAI tool-schema sanitizers (strip_slash_enum, strip_pattern_and_format)
mutate their input in place — that's their documented contract. The two
call sites (chat_completion_helpers.build_api_kwargs and the auxiliary
client) were passing agent.tools straight through, so the first xAI
request would permanently strip slash-containing enum constraints and
pattern/format keywords from the per-agent tool registry.
Effect: any subsequent non-xAI call from the same agent (auxiliary task
routed to Anthropic, OpenRouter fallback, mid-session model switch) saw
the already-stripped schema with no way for the user to notice from
their config.
Fix: deepcopy tools_for_api before sanitizing at both call sites.
The slash-enum bug itself (xAI 400ing on enums with '/') was fixed
earlier by #32443 (Nami4D) — that PR landed the strip but used the
sanitizers directly without copying. This salvages #27907's correctness
contribution (the deepcopy) while skipping its redundant parallel
sanitizer (strip_xai_incompatible_enum_values is functionally
equivalent to the existing strip_slash_enum) and its preflight-
neutrality argument (we chose model-gated preflight in #32443).
3 new tests in tests/run_agent/test_run_agent_codex_responses.py:
- strips_slash_enum_from_outgoing_request — outgoing kwargs has no
slash-containing enum values (functional contract preserved).
- does_not_mutate_agent_tools — headline #27907 regression. Snapshot
agent.tools before build_api_kwargs, assert it survives intact
after. Pre-fix this assertion would have caught the mutation.
- is_idempotent_across_repeated_calls — three xAI requests in a row
each strip cleanly AND don't progressively erode the source schema.
344/344 across tests/agent/test_auxiliary_client.py,
tests/agent/transports/test_codex_transport.py,
tests/run_agent/test_run_agent_codex_responses.py, and
tests/tools/test_schema_sanitizer.py.
Co-authored-by: Gabor Barany <barany.gabor@gmail.com>
* fix(agent): fallback immediately on provider content-policy blocks
Provider safety-filter refusals (e.g. OpenAI Codex 'flagged for possible
cybersecurity risk', OpenAI moderation 'violates our usage policies',
Anthropic safety-system rejections, Azure content_filter) are
deterministic decisions about a specific prompt. Retrying the same
prompt up to api_max_retries times just reproduces the same refusal and
burns paid attempts before surfacing the generic 'API failed after 3
retries — <provider message>' to Telegram / cron with no indication that
the failure came from the model provider rather than Hermes itself.
Classify these as a new FailoverReason.content_policy_blocked
(non-retryable, should_fallback=True) and route them through the
existing is_client_error path so the loop:
- skips the 3x retry backoff
- activates a configured fallback model immediately
- emits a clear provider-safety message to the user (not the generic
'Non-retryable error (HTTP None)') and surfaces actionable guidance
when no fallback is configured (rephrase, narrow context, or set
fallback_model in hermes config)
- returns a final_response that explicitly tells the user this came
from the model provider, so gateway delivery is unambiguous and
cron last_status reflects the safety block rather than a vague
'agent reported failure'
Patterns are intentionally narrow — verbatim refusal phrasings keyed to
specific provider safety pipelines, not generic words like 'policy' or
'violation' that would collide with billing / format / auth errors.
Regression guards in test_18028_content_policy_blocked.py verify
billing 402s, generic 400s, and OpenRouter account-level
provider_policy_blocked remain distinct classifications.
Salvaged from #18164 onto current main (file restructure: loop logic
moved from run_agent.py to agent/conversation_loop.py, _emit_status →
_buffer_status), broadened patterns beyond the original OpenAI Codex
cybersecurity case to cover OpenAI moderation, Anthropic safety system,
and Azure content_filter; added user-actionable guidance and a clear
final_response so cron/gateway surfaces the policy block instead of a
generic non-retryable error, and added a regression-guard test module
mirroring the is_client_error predicate.
Addresses #18028.
Co-authored-by: Kuan-Chieh Huang <kchuang1015@users.noreply.github.com>
* chore: add kchuang1015 to AUTHOR_MAP
---------
Co-authored-by: Kuan-Chieh Huang <kchuang1015@users.noreply.github.com>
Discord threads where the bot has already participated bypass mention gating by default, but the backfill check was still tied to the mention-needed condition. That meant follow-up thread messages could trigger a response without providing recent thread history to the session.
Run history backfill for thread messages whenever backfill is enabled, while keeping DMs skipped and channel mention backfill behavior unchanged. Add a regression test for a known thread follow-up without an explicit mention.
Fixes#33666
Co-authored-by: Cursor <cursoragent@cursor.com>
The reaper hoist in the prior commit adds an extra
`asyncio.to_thread(_kb.reap_worker_zombies)` call at the top of every
dispatcher tick (before the per-board work). The existing
`test_gateway_dispatcher_disables_corrupt_board_without_traceback`
mocks `to_thread` with a 4-call cap that previously matched 2 full
dispatch ticks. With the reaper hoist each tick is now 3
`to_thread` calls instead of 2, so the cap is raised to 6 to preserve
the same number of dispatch ticks. The `connect == 5` assertion is
unchanged.
Also add the contributor's `steveonjava@gmail.com` to AUTHOR_MAP
alongside `steve@steveonjava.com` so contributor-audit passes for
both identities used across the salvaged commits.
Salvage follow-up for PR #32857.
Reaper now runs at the top of every dispatcher tick regardless of per-board connect() failures. Previously the reaper sat inside dispatch_once after the kanban_db.connect() call — any EIO during connect would skip reaping for that tick, accumulating zombie workers and stale claim_lock rows.
Also: reap_worker_zombies now returns the list of reaped pids (the dispatcher logs them) and a test indentation fix.
Squashes three sibling commits from PR #32301 into one logical change for batch review.
Pre-requisite for PR #32020 salvage (auth: global auth.json fallback
in _load_provider_state). Contributor_audit strict mode fails if any
commit author email on main is unmapped.
Co-authored-by: kshitijk4poor <kshitijk4poor@gmail.com>
Three additions on top of @Nami4D's salvage:
1. Gate the preflight slash-enum strip on the model name pattern
(grok-* / x-ai/grok-*). The original PR stripped slash-containing
enum values from every codex_responses request, but native Codex
(OpenAI) and GitHub Models DO accept slash enums — stripping them
there would silently degrade tool-schema constraints. xAI is the
only Responses-API surface that rejects the shape.
2. Resolve the merge conflict in agent/transports/codex.py by
preserving both the timeout-forwarding block that landed on main
between the PR's branch point and now AND the new service_tier
strip. Behavioural intent of both is preserved.
3. Six new tests in tests/agent/transports/test_codex_transport.py
covering:
- TestCodexTransportXaiServiceTierStrip (3 tests): xAI strips
service_tier from request_overrides; non-xAI codex_responses
and GitHub Models both KEEP service_tier (regression guards
so the strip stays xAI-only).
- TestPreflightSlashEnumStrip (3 tests): Grok and aggregator-
prefixed Grok model names both trigger the safety-net strip;
non-Grok models preserve slash enums as a regression guard
against the strip becoming too broad.
51/51 in tests/agent/transports/test_codex_transport.py.
Co-authored-by: Nami4D <hello@nami4d.tech>
Alibaba's latest flagship Qwen model is released but not yet present in the
DashScope (alibaba) or Alibaba Coding Plan curated catalogs. Add it so it
shows up in the /model picker and setup wizard for those providers.
OpenCode Go routing for qwen3.7-max already landed via #32780 (commit 2fc77c53f).
OpenRouter + Nous catalog entries already landed via #32809 (commit ccd3d04fc).
This salvage picks up the remaining alibaba / alibaba-coding-plan entries from
#32806 — the AI Gateway entry is dropped because Vercel AI Gateway was removed
in #33067.
#33016 added GET /v1/skills + /v1/toolsets on the API server; the
capability flag introduced in this branch was placeholder-False. Flip
to True so capability probers see the truth.
* fix(codex-responses): gracefully recover from invalid_encrypted_content (salvage #10144)
When an OpenAI-compatible Responses API surface accepts an initial
request but later rejects the replayed `codex_reasoning_items`
encrypted blob with HTTP 400 `invalid_encrypted_content`, the
session previously got stuck retrying the same poisoned payload.
Recovery: classify the error as a dedicated FailoverReason, and on the
first hit disable encrypted reasoning replay for the rest of the
session, strip cached items from message history, and retry once.
Changes:
* error_classifier: add FailoverReason.invalid_encrypted_content
branch in _classify_400 (before context_overflow so the messages
that mention 'encrypted content … could not be verified' don't trip
context heuristics), in _classify_by_error_code, and extend
_extract_error_code to peek inside wrapped JSON in error.message and
ignore the bare '400' as a code.
* agent_init: initialize `_codex_reasoning_replay_enabled = True` on
every agent.
* run_agent: add AIAgent._disable_codex_reasoning_replay() helper
that flips the flag and pops cached items.
* codex_responses_adapter: thread a `replay_encrypted_reasoning`
kwarg through _chat_messages_to_responses_input so that when the
flag is False we don't replay codex_reasoning_items.
* transports/codex.py: read `replay_encrypted_reasoning` from params,
thread it into the adapter, and gate the
`include=['reasoning.encrypted_content']` request hint on it.
* chat_completion_helpers: pass the agent's replay flag through to
the transport.
* conversation_loop: in the retry loop, add an
invalid_encrypted_content recovery branch that fires once per
session, only when api_mode == codex_responses, only when replay is
still enabled, and only when at least one assistant message in
history actually carries cached reasoning items (otherwise the 400
has nothing to do with our cache and the normal retry path handles
it).
Tests:
* test_error_classifier: new wrapped-JSON _extract_error_code case;
new TestClassifyApiError cases proving the 400 is retryable with
no fallback, that the broad message match doesn't catch a generic
'parsed' message, and that the error code match is
case-insensitive.
* test_run_agent_codex_responses: end-to-end test of the recovery
branch firing once and disabling replay, plus a sibling test that
proves the branch does *not* fire (and the flag stays True) when
history has no cached reasoning items.
Salvages PR #10144 onto the post-refactor module layout
(error_classifier / codex_responses_adapter / transports/codex /
conversation_loop / agent_init) since the original diff was written
against the pre-refactor monolithic run_agent.py.
* chore(release): map victorGPT in AUTHOR_MAP for #10144 salvage
---------
Co-authored-by: victorGPT <wuxuebin1993@gmail.com>
When the gateway processes /reload-mcp, it reconnects MCP servers and
updates the global _servers registry, but cached AIAgent instances in
_agent_cache keep the tools list they were built with. The user had to
also run /new (discarding conversation history) before the agent could
see the new tools — even though /reload-mcp had succeeded.
This patch refreshes each cached agent's .tools and .valid_tool_names
in _execute_mcp_reload after discovery returns, so existing sessions
pick up new MCP tools on their next turn. The slash-confirm gate in
_handle_reload_mcp_command already obtains user consent for the
implied prompt-cache invalidation before this code runs.
Mirrors the equivalent behaviour the CLI already does in cli.py
_reload_mcp. Per-agent enabled_toolsets and disabled_toolsets are
preserved so an agent that was scoped to a subset of toolsets does
not silently gain disabled tools after the reload.
Original diagnosis + initial implementation in #23812 from @fujinice.
The auto-reload watcher half of that PR is intentionally dropped —
users want /reload-mcp to remain explicit.
Co-authored-by: fujinice <45688690+fujinice@users.noreply.github.com>
Pre-salvage prep for the must-have security cluster (#32103, #32155).
#32103 author commit uses dearmayo@localhost; PR opener is ffr31mr —
same pattern as the existing holynn-q localhost mapping.
Adds an optional autonomous-ai-agents skill that delegates coding tasks
to the OpenHands CLI (https://github.com/All-Hands-AI/OpenHands). Sits
alongside claude-code / codex / opencode and is the model-agnostic
option in that family — any LiteLLM-supported provider works.
This is a ground-truth rewrite of #19325 by @xzessmedia (Tim Koepsel).
The original PR's SKILL.md was drafted by the OpenHands agent itself and
hallucinated several flags that don't exist in the real CLI (\`--model\`,
\`--max-iterations\`, \`--workspace\`, \`--sandbox docker\`), pointed at
the wrong PyPI package (\`openhands-ai\`, which is the legacy V0 SDK),
and claimed native Windows support that the upstream docs explicitly
disclaim. Rather than cherry-pick and rewrite half the lines under
contributor authorship, the SKILL.md was rebuilt against a verified
install (\`uv tool install openhands --python 3.12\`) and a real
end-to-end \`--headless --json\` run against openrouter/openai/gpt-4o-mini.
Authorship credited via the \`author:\` frontmatter field and an
AUTHOR_MAP entry in scripts/release.py.
Changes:
- optional-skills/autonomous-ai-agents/openhands/SKILL.md (new)
- website/docs/user-guide/skills/optional/autonomous-ai-agents/autonomous-ai-agents-openhands.md (auto-gen)
- website/docs/reference/optional-skills-catalog.md (one new row)
- website/sidebars.ts (one new entry under Optional → Autonomous AI Agents)
- scripts/release.py (AUTHOR_MAP entry for xzessmedia)
Pitfalls documented in the SKILL came from running the tool, not from
the upstream README: LiteLLM bedrock/sagemaker stderr noise on every
invocation, banner spam (\`OPENHANDS_SUPPRESS_BANNER=1\` required),
\`--override-with-envs\` mandatory or the CLI ignores LLM_* env vars
entirely, the dashed-vs-undashed Conversation ID footgun for \`--resume\`,
LiteLLM model-slug double-prefix when going through OpenRouter.
