Avoid spawning multiple local OpenViking server processes while a runtime autostart waiter is already active. Remote endpoints still retry on later accesses because they do not install a local waiter.
The _needs_trusted_identity_retry method was hard-coding specific
server-side error strings to detect when a request failed due to
missing X-OpenViking-Account / X-OpenViking-User headers. Each new
server-side error variant required another string added to the client.
Replace the string enumeration with a structural match: the error
message mentions one of the tenant headers AND the HTTP status is 400.
This covers all current error variants:
- "Trusted mode requests must include X-OpenViking-Account and User"
- "ROOT requests to tenant-scoped APIs must include X-OpenViking-Account"
- "Trusted mode requests must include X-OpenViking-Account."
- "Trusted mode requests must include X-OpenViking-User."
The 400 status guard avoids false-positives on 403 errors such as
"USER API keys cannot override X-OpenViking-User", which must not
trigger a retry.
All 176 existing tests pass.
(cherry picked from commit 5a24d6766c)
`OpenVikingMemoryProvider.shutdown()` joins in-flight writers, deferred-commit
threads, and prefetch threads, but not `_runtime_start_thread` — the tracked
`daemon=True` waiter that runs `_finish_runtime_openviking_start`, which blocks
on network health probes (`_wait_for_openviking_health` polling + a
`_VikingClient.health()` request).
If the local OpenViking runtime is slow or unreachable, that waiter can still
be blocked in network I/O at interpreter exit. CPython then forcibly kills it
during `Py_FinalizeEx` (`PyThread_exit_thread` -> `__pthread_unwind` ->
`abort()`), producing SIGABRT (exit 134) with no traceback — the same daemon-
thread-at-exit failure class fixed for the Honcho provider.
Fix:
- `shutdown()` now joins `_runtime_start_thread` (timeout-bounded) alongside the
other tracked threads.
- `_wait_for_openviking_health()` gains a `should_stop` callback; the waiter
passes `lambda: self._shutting_down` so the poll loop bails out promptly once
`shutdown()` flips the flag, instead of lingering up to the 60s autostart
timeout and timing out the join (which would leave the thread alive).
- Add tests/plugins/memory/test_openviking_shutdown.py covering the short-circuit
and the shutdown-joins-runtime-thread behaviour.
(cherry picked from commit 5471ec7021)
`_write_env_vars` in the OpenViking memory provider interpolates each
secret straight into a `KEY=VALUE` line, but the values only ever pass
through `_clean_config_value`, whose `value.strip()` trims surrounding
whitespace and leaves internal CR/LF intact. Because the file is strictly
line-oriented and is re-read via `read_text().splitlines()`, a value that
carries an embedded newline spills onto a second physical line, and the
tail is re-parsed as an independent `KEY=VALUE` entry on the next round
trip. A secret pasted with a trailing record (e.g. an `OPENVIKING_API_KEY`
copied with an extra line) therefore injects an arbitrary additional
variable into the persisted credentials file and silently corrupts it.
The fix neutralizes the line terminators at the single chokepoint where
values reach the file. A small `_env_line_safe` helper strips `\r`, `\n`,
and the NUL byte from each value, and both write sites in `_write_env_vars`
(the existing-key update branch and the appended-key branch) route through
it, so a value can only ever occupy the single line it is written on.
## What does this PR do?
Hardens the OpenViking memory provider's `.env` writer so a malformed or
pasted secret value can no longer break out of its `KEY=VALUE` line and
inject a rogue variable into the profile-scoped credentials file.
## Related Issue
N/A
## Type of Change
- [x] 🐛 Bug fix (non-breaking change that fixes an issue)
## Changes Made
- `plugins/memory/openviking/__init__.py`: add `_env_line_safe()` which
removes `\r`, `\n`, and `\x00` from a value, and apply it to both the
updated-key and appended-key write branches in `_write_env_vars()`.
- `tests/plugins/memory/test_openviking_provider.py`: add two regression
tests covering a fresh write and an in-place key update with embedded
CR/LF, asserting no injected line survives the read-back.
## How to Test
1. Run the targeted tests:
`pytest tests/plugins/memory/test_openviking_provider.py -k env_writer -q`
2. Reverting the `_env_line_safe` sanitization makes
`test_openviking_env_writer_strips_embedded_newlines_in_values` and
`test_openviking_env_writer_strips_newlines_when_updating_existing_key`
fail with a rogue `INJECTED_KEY=`/`ROGUE=1` line appearing in the file,
confirming the tests pin the bug.
3. `ruff check plugins/memory/openviking/__init__.py` and
`python scripts/check-windows-footguns.py plugins/memory/openviking/__init__.py`
both pass.
## Checklist
### Code
- [x] I've read the Contributing Guide
- [x] My commit messages follow Conventional Commits
- [x] I searched for existing PRs to make sure this isn't a duplicate
- [x] My PR contains only changes related to this fix
- [x] I've run the relevant tests and they pass
- [x] I've added tests for my changes (required for bug fixes)
- [x] I've tested on my platform: macOS 15 (Darwin 25.5)
### Documentation & Housekeeping
- [x] I've updated relevant documentation (docstrings) — or N/A
- [x] I've updated `cli-config.yaml.example` if I added/changed config keys — N/A
- [x] I've updated `CONTRIBUTING.md` or `AGENTS.md` if I changed architecture or workflows — N/A
- [x] I've considered cross-platform impact (strips CR as well as LF) — done
- [x] I've updated tool descriptions/schemas if I changed tool behavior — N/A
(cherry picked from commit f29dd2df84)
Adds the missing write path for the per-task model_override column (which
was previously only settable via manual SQL) and pairs it with a
provider_override so cross-provider switches resolve correctly:
- kanban_db: provider_override column (+migration), set_model_override()
with model_override_set event, create_task(model_override=,
provider_override=), dispatcher spawns worker with -m <model>
[--provider <name>]
- dashboard: Model row in the task drawer — dropdown fed by a new
/model-options endpoint (build_models_payload substrate, provider-grouped,
free-text fallback), PATCH + bulk model override support
- CLI: kanban create --model/--provider, new kanban set-model subcommand,
show prints the provider
- agent tools: kanban_create accepts model/provider; show/list expose
provider_override
Rate-limit recovery flow: override is settable on running tasks and takes
effect on the next dispatch, without touching the worker profile's config.
teknium1 review on #57690: harvesting logic was skipping the ENTIRE merged
row when a compaction summary was appended to the tail message, discarding
real prior user content that context_compressor retains before the
_MERGED_SUMMARY_DELIMITER. Extract and harvest that pre-delimiter segment
instead of dropping it wholesale.
Revert-to-fail: reverting plugins/memory/holographic/__init__.py alone
drops test_merged_into_tail_preserves_genuine_pre_delimiter_preference
(19 passed, 1 failed); restoring the fix returns 20/20 passed.
Two compounding defects in the holographic memory provider (#57682):
1. The on_session_end gate used plain truthiness on auto_extract, but the
plugin's own config schema declares it as a string enum with default
"false" — and not "false" is False, so extraction ran for users who
had it configured off. Coerce with the shared utils.is_truthy_value
(same fix class as the merged byterover no-op fix).
2. _auto_extract_facts scanned every role=user message. Context-compaction
handoff summaries can be inserted as role=user messages and their prose
reliably matches the decision patterns (we decided/agreed, the project
uses), so the compactor's own output was persisted as a durable project
fact on every rollover following a compaction — recreated even after
manual deletion.
Adds agent.context_compressor.is_compaction_summary_message(), a public
helper that prefers the in-process COMPRESSED_SUMMARY_METADATA_KEY marker
and falls back to _is_context_summary_content() (covers merged-into-tail
and historical prefixes), since the metadata key is stripped by wire
sanitizers and doesn't survive all session-store round-trips. The plugin
skips summary messages before pattern matching.
Fixes#57682
- Remove dead current_sid parameter from _recover_pending_sessions
- Remove dead cleanup parameter from _release_owner_run_claim (always True)
- Set _run_lock_path after flock succeeds, not before
- Collapse redundant BlockingIOError branch (covered by OSError+errno check)
- Track _pending_marked_sids to skip re-writing marker file on every sync_turn
Preserve ordered structured turns across OpenViking's 100-message batch limit and resume retries from the first unconfirmed message.
Based on the OpenViking batching work from commit 1a567f7067 in #58981.
The supermemory SDK already honors SUPERMEMORY_BASE_URL, but the raw
urllib call used for session-end conversation ingest hardcoded
https://api.supermemory.ai/v4/conversations, so ingest always hit the
cloud even when pointing at a self-hosted server (e.g.
http://localhost:6767).
Resolve the base URL as config (supermemory.json base_url) >
SUPERMEMORY_BASE_URL env var > https://api.supermemory.ai, strip any
trailing slash, and use it for both the SDK client and the
/v4/conversations ingest endpoint.
Community feedback (@LSanapalli on X): the inline task-creation form is
cramped inside a ~280px column with no way to resize; board-level
workspace defaults can't be changed after board creation; and users
believe they must block a task, comment, then unblock just to talk to
a worker.
- Create-task dialog: replace the inline column form with a centered
modal (reuses hermes-kanban-dialog chrome, 36rem wide) with labeled
fields for title, assignee, priority, skills, workspace kind/path,
goal mode, and parent task. Same request shape; Enter/Escape behavior
preserved; submit disabled until a title is present.
- Board settings dialog: new Settings button in the board switcher opens
a modal to edit display name, description, and the board-level default
project directory (default_workdir). PATCH /boards/:slug now accepts
default_workdir (validated absolute existing dir; empty string clears;
omitted leaves unchanged) and returns the recomputed
default_workspace_kind so task-creation defaults follow immediately.
- Comment workflow hint: the task drawer's comment box now explains that
comments land on the thread immediately and reach the worker on its
next run/kanban_show() — no block/unblock dance needed — with a fuller
tooltip for when blocking IS the right tool.
- i18n: new keys optional in the kanban namespace with English fallbacks
in the bundle (established pattern; avoids churning 17 locale files).
- Docs: dashboard section updated for the dialog + Settings button.
The Copilot provider profile unconditionally mapped ``xhigh`` to ``high`` before
checking the model's catalog, so models that DO support ``xhigh`` (e.g. the
gpt-5.x family per the live /models catalog) were silently capped one level
down.
Honor the requested effort when the catalog lists it as supported, and only
downgrade when it does not, choosing the nearest weaker supported level
(xhigh->high, minimal->low, else medium, else the first supported level). This
matches the nearest-down clamp behavior used elsewhere for the ``max`` effort.
Adds tests/plugins/model_providers/test_copilot_profile.py covering forward,
downgrade, and fallback paths (catalog lookup stubbed).
Three follow-up fixes to the salvaged reasoning_effort support, all verified
live against ollama.com /v1/chat/completions + /api/show on deepseek-v4-pro,
gemma3, and qwen3-coder:
1. Capability-gate on /api/show 'thinking'. The original ignored the
supports_reasoning flag and emitted reasoning_effort for every model. Now
gated: only models whose native /api/show capabilities list contains
'thinking' (deepseek-v4 yes; gemma3 / qwen3-coder no) get reasoning_effort.
Mirrors the LM Studio pattern — capability resolved once per (model,
base_url) in run_agent._supports_reasoning_extra_body via a cached probe
(hermes_cli.models.ollama_model_supports_thinking), threaded into the
profile hook as supports_reasoning. No live HTTP in the per-request path.
2. Disable actually disables. Ollama Cloud defaults to thinking ON and IGNORES
the extra_body.thinking:{type:disabled} shape (verified: still returned
reasoning). The only working off switch is top-level reasoning_effort:'none'.
The salvaged code returned ({}, {}) for enabled:false / effort:none, leaving
thinking ON. Now emits {'reasoning_effort': 'none'}.
3. Omit unrecognized effort. The original forwarded any unknown string verbatim
including 'minimal' (a real Hermes effort level). Ollama Cloud rejects
unrecognized values with a hard HTTP 400 (accepted set: low/medium/high/
max/none), so forwarding 'minimal' would break the request. Now omitted.
Core touches (run_agent.py, hermes_cli/models.py) add the capability probe;
the plugin profile only consumes the resolved flag. 24/24 profile tests green;
194 provider/transport tests unaffected.
The kanban board has had full attachment storage and a dashboard HTTP
API (upload/list/download/delete) since #35338, but there was no agent
toolset tool and no `hermes kanban` CLI verb for attachments. Agents and
scripts that don't go through the dashboard server (or can't touch the DB
directly) had no way to create or read real attachments — only links in
comments.
Close that gap by mirroring the existing comment surface:
- `kanban_db.store_attachment_bytes()` — one shared write path (validate
name, enforce the 25 MB cap, write the blob under the per-task dir with
collision-free naming, insert the metadata row, clean up an orphan blob
if the insert fails). `_MAX_ATTACHMENT_BYTES`, `_safe_attachment_name`,
and a new `_collision_free_path` move here so the dashboard, the tool,
and the CLI all share one implementation and can't drift.
- Tools (`tools/kanban_tools.py`): `kanban_attach` (inline base64),
`kanban_attach_url` (server-side http/https fetch with the same cap),
`kanban_attachments` (list). Write tools respect worker task-ownership;
list is read-only. Registered in the `kanban` toolset.
- CLI (`hermes_cli/kanban.py`): `attach <id> <path>`, `attachments <id>`,
`attach-rm <attachment_id>`.
- Dashboard `upload_task_attachment` now imports the shared helpers and
uses `_collision_free_path` — behavior identical (still streams to disk
with the cap, still 413 on overflow).
- Docs (AGENTS.md, kanban-worker skill) and toolset membership updated.
Tests: tool round-trip + oversize + bad base64 + ownership; attach_url
against a local HTTP fixture incl. oversize-mid-stream and non-http
scheme rejection; CLI attach/attachments/attach-rm; shared-helper unit
tests; dashboard parity preserved.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
_clamp_duration returned durations[0] for all families when duration=None,
causing pixverse-v6, seedance-2.0, and kling-v3-4k to always send their
minimum value (1s, 4s, 3s respectively) instead of omitting the field and
letting the FAL endpoint apply its own default.
Range families are now detected via the existing _is_duration_range
heuristic and return None (field omitted) when no duration is requested.
Enum families like veo3.1 keep sending their first entry as the default.
Conflict resolutions:
- web_server.py: keep the branch's unified provider-config handlers
(declared schema served by default, profile-scoped) over main's
surface=declared query param. Main's declared-surface helpers and the
hermes_cli.memory_providers import are dropped — the branch deleted
that module when provider schemas moved into their plugins, so main's
code path could no longer import.
- hermes.ts: keep profileScoped() calls without ?surface=declared to
match the unified backend.
- constants.ts: take main's new reasoning effort values (max, ultra),
keep the branch's memory provider ordering.
- config-settings.tsx: take main's FallbackModelsField import, drop the
now-unused SECTIONS import (branch replaced it with
sectionFieldEntries).
- provider-config-panel.test.tsx: file moved to settings/memory/ on the
branch; main's act() fixes targeted the old tests, and the rewritten
suite produces no act() warnings, so the old path stays deleted.
- test_web_server.py: keep both sides' new tests (main's MoA endpoint
tests plus the branch's Honcho provider tests).
* fix(auxiliary): route direct-create aux callers through call_llm (#35566)
Five callers (kanban_decompose, kanban_specify, profile_describer, and
goals.py's judge + draft-contract) built raw clients via
get_text_auxiliary_client() and passed extra_body=get_auxiliary_extra_body()
— which only returns Nous portal tags and ignores
auxiliary.<task>.extra_body from config.yaml entirely. That was the
remaining half of #35566 after the call_llm path was fixed.
Routing them through call_llm(task=...) gives each caller the full
auxiliary contract for free: task extra_body, the reasoning_effort
shorthand, transient retries, provider-profile projection, and fallback
chains. goal_judge gains a DEFAULT_CONFIG block (it had none — its
provider/model overrides silently didn't exist as documented keys).
get_auxiliary_extra_body() now has zero non-test callers; kept for
plugin back-compat.
Fixes#35566.
* test: migrate kanban dashboard + CLI specify mocks to call_llm
Two more consumers of specify_task mocked the old
get_text_auxiliary_client symbol (missed in the first sibling sweep —
they live outside tests/hermes_cli's kanban files): the dashboard
plugin's /specify endpoint tests and the /kanban slash-command E2E.
Same migration as the rest: mock call_llm at the source, no-provider
now surfaces via the LLM-error branch.
Ollama's /v1/chat/completions silently ignores extra_body.think (it only
honours it on /api/chat — ollama/ollama#14820), so agent.reasoning_effort:
none never actually disabled thinking on OpenAI-compatible Ollama routes.
Emit the top-level reasoning_effort='none' field (which Ollama respects)
alongside think=False (kept for proxies and the native /api/chat path).
The PR's second half (propagating reasoning_config to the background-review
fork) already landed on main via agent/background_review.py, so only the
provider-profile change is salvaged here, resolved onto the current
GLM/effort-aware profile.
Salvaged from PR #29820 by @Epoxidex.
The inbound cron-fire verifier constructed a fresh PyJWKClient on every
fire, discarding the client's key cache and forcing a synchronous JWKS
HTTP GET to the portal on each fire. Under a burst of concurrent fires
(a hosted instance with several cron jobs firing in the same window) this
fanned out into N simultaneous JWKS fetches that the portal rate-limited
(HTTP 403 -> verification fails -> agent 401), or that blocked the event
loop long enough that the fire webhook could not return its 202 before
the relay's 30s timeout (observed in prod as relay 504s concentrated on
high-job-count instances).
Cache one PyJWKClient per JWKS URL at module scope (double-checked lock)
so the signing keys are reused across fires; NAS keys rotate rarely, so
the steady state is zero JWKS fetches per fire.
Regression test proves 5 fires -> 1 client construction (was 5).
Review findings from the 4-angle pass:
- Unknown-but-enabled effort levels now collapse to Solar's strongest
(high) instead of silently downgrading to the medium default — guards
against the next #62650-style vocabulary addition. Explicit-empty
effort keeps the medium default.
- fallback_models test now asserts the behavior contract (non-empty, no
denied families) instead of freezing the exact model tuple
(change-detector, AGENTS.md reject reason).
- Drop unused pytest import in test_upstage_provider.py.
Main added max/ultra effort levels (#62650) after this PR branched;
without the mapping 'ultra' silently fell through to the medium default.
Matches the xhigh/max collapse-to-strongest convention used by other
profiles.
Pin the Upstage default to the concrete solar-pro3 instead of the
solar-pro rolling alias:
- plugin fallback_models is now ("solar-pro3",); entry [0] is the setup default
- drop the "solar-pro" context-window fallback entry (solar-pro3 covers it)
- update the reasoning default-on docstring and profile tests accordingly
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Invert the reasoning-support check from an allow-list (solar-pro,
solar-open) to a deny-list of the known non-reasoning families
(solar-mini, syn-pro). Newly released Solar models now get
reasoning_effort by default instead of having it silently dropped.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Adds Upstage Solar as a bundled model-provider plugin. Solar exposes an
OpenAI-compatible chat-completions endpoint at https://api.upstage.ai/v1, so
the generic chat_completions transport handles request/response/streaming/tool
calls — the profile is the core integration.
Provider registration (Upstage isn't in models.dev, so each registry that does
not auto-wire from the plugin layer needs an explicit entry — same pattern as
nvidia/gmi):
- plugins/model-providers/upstage/: UpstageProfile + plugin.yaml. Picker default
and offline catalog list only the agentic Solar Pro models, led by `solar-pro`
(rolling alias for the latest Pro). default_aux_model empty so aux tasks use
the main model. `solar` alias. UPSTAGE_BASE_URL overrides the host.
- hermes_cli/providers.py: HERMES_OVERLAYS + label + `solar` alias, so
resolve_provider_full('upstage') resolves (without this, an explicit
`provider: upstage` in config was dropped and fell through to auto-detect).
- hermes_cli/auth.py: PROVIDER_REGISTRY entry + `solar` alias, so `hermes
doctor` / resolve_provider recognise upstage (the static-registry path the
lazy profile-extension doesn't reliably cover at validation time).
- hermes_cli/models.py: CANONICAL_PROVIDERS entry places Upstage Solar in the
curated picker order (above the auto-appended `custom`).
- agent/model_metadata.py: context-window fallbacks (/v1/models omits
context_length); `solar-pro` carries the 128K Pro context as the catch-all.
Reasoning: UpstageProfile.build_api_kwargs_extras wires Solar's top-level
`reasoning_effort` (low|medium|high; xhigh/max→high). Reasoning-capable families
are solar-pro* and solar-open*; solar-mini/syn-pro never receive it. Defaults ON
at medium when unset (matches the /reasoning "medium (default)" label);
`/reasoning none` disables; explicit/saved settings are honored. No
reasoning_content echo handling needed (unlike DeepSeek/Kimi).
Web dashboard:
- web/src/pages/EnvPage.tsx: add an "Upstage Solar" provider group so
UPSTAGE_API_KEY / UPSTAGE_BASE_URL appear under LLM Providers (not "Other").
Docs/tests:
- .env.example: documents UPSTAGE_API_KEY / UPSTAGE_BASE_URL.
- tests: profile wiring, reasoning_effort mapping (pro/open/mini, efforts,
disabled, default-on), provider-resolver regression (resolve_provider_full /
get_provider / solar alias / overlay), `solar-pro` default.
Testing: pytest tests/providers tests/plugins/model_providers
tests/hermes_cli/test_upstage_provider.py tests/run_agent/test_provider_parity.py
tests/hermes_cli/test_api_key_providers.py; ruff clean. Verified end-to-end:
`hermes doctor` shows "Upstage Solar", and live chat works via both
`--provider upstage` and `--provider solar`. Reasoning wire format per
https://console.upstage.ai/api/docs/for-agents/raw. Platforms tested: macOS.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
