When an agent turn uses native (OpenAI-style) function calling and the model
returns only tool calls with no prose, _append_tool_results built the follow-up
assistant message with content "" (empty string).
Google Gemini's OpenAI-compatible endpoint and Ollama both reject an assistant
message that carries tool_calls alongside an empty-string content with HTTP 400.
Because that message feeds the tool results back to the model, every tool-using
turn on these providers dies at the second round: the tool runs, but the agent
never produces a result.
Use None (JSON null) instead, which is the spec-correct form the OpenAI SDK
itself emits and which OpenAI and Anthropic accept too. Adds tests covering the
native tool-call content shaping.
The DuckDuckGo HTML fallback returns redirect URLs (//duckduckgo.com/l/?uddg=...)
instead of actual page URLs. This caused fetch_webpage_content() to reject them
instantly because _public_http_url() requires an http/https scheme, making search
results unfetchable in deep research mode.
Added _resolve_url() to:
- Convert protocol-relative URLs to absolute (https:)
- Convert path-relative URLs to absolute
- Extract the real URL from DuckDuckGo's /l/?uddg= redirect parameters
Every research endpoint interpolates session_id into filesystem paths
(Path('data/deep_research') / f'{session_id}.json') without checking
for traversal sequences. A crafted ID like '../../data/auth' reaches
arbitrary JSON files — readable via research_detail (which also leaks
file paths in error messages), writable via research_archive, and
deletable via research_delete.
Add _validate_session_id() which rejects anything outside
[a-zA-Z0-9-]{1,128}. Called before filesystem access in all 12
endpoints that accept a session_id path parameter.
The /api/chat/stream_status handler did a membership test against
_active_streams followed by an indexed read of the same key. Between
those two ops, a sibling stream's finally block (or a stop / cleanup
path) can pop the entry, turning the indexed read into a KeyError that
bubbles up as a 500. The race is the exact one _stream_set was already
written to avoid; the comment on the helper at the top of the module
spells out why a single .get() is the right pattern here too.
Collapse the two-step into a single .get() call so the lookup either
returns the live record or None, and report 'detached' / 404 based on
that single read. No behavior change on the happy path; the failure
mode under concurrent stream cleanup is now handled deterministically.
Closes#658.
A fresh `docker compose up -d` shows the searxng container failing its
healthcheck with permission errors at setup (reported in #721 — the
service comes up under names like `odysseus_searxng_1` and never goes
ready, which then blocks the main odysseus container because of the
`depends_on: searxng: condition: service_healthy` gate).
Root cause: the official `searxng/searxng:latest` image runs as the
non-root `searxng` user but its entrypoint still needs to
1. chown /etc/searxng on first boot so the persisted named volume is
owned by the searxng user inside the container,
2. su-exec to drop / re-assert privileges before launching uwsgi, and
3. let our wrapper entrypoint (which seeds settings.yml into the named
volume on first boot) write the file through the volume mount.
Without explicit `cap_add`, the container has neither CHOWN nor
DAC_OVERRIDE nor SETUID/SETGID, so the entrypoint aborts at the first
chown / su-exec / redirection with EACCES. The upstream searxng-docker
compose file solves this with the standard "drop everything, grant only
what's needed" capability pattern.
Fix: mirror the upstream cap_drop ALL / cap_add CHOWN, SETGID, SETUID,
DAC_OVERRIDE on the searxng service. This grants only the four caps the
entrypoint actually needs, matches what searxng-docker ships with, and
leaves ports, volumes, env, healthcheck, and the wrapper entrypoint
unchanged.
Closes#721.
SkillsManager.update_skill walks every SKILL.md on disk and matches by
slug only; the 'owner' key in its scalar_keys whitelist meant a caller
could pass updates={'owner': 'attacker', 'description': 'pwned'} and the
first matching file on disk got silently re-owned. Two users with the
same slug under different category directories (which is supported by
the on-disk layout <category>/<name>/SKILL.md) could each stomp the
other's skill via the manage_skills tool or the in-process callers in
tool_implementations.py (edit, patch, publish, delete).
update_skill and delete_skill now require the caller's owner and only
match a file whose parsed owner field matches. The default of None
means 'no scope' and only matches ownerless skills, so an unsafe call
without an explicit owner is now a no-op. 'owner' is also removed from
scalar_keys so the updates dict cannot be used to reassign ownership
even when the manager is called from an in-process path that didn't
supply the owner argument.
The in-process callers in tool_implementations.py are updated to pass
owner=owner (which was already in scope at every call site) so the
HTTP and agent paths both go through the scoped check. The HTTP route
at routes/skills_routes.py:1499 was already owner-scoped via
sm.load(owner=user); the fix brings the in-process path up to the
same standard.
After a successful password change, revoke all browser sessions for the
same user except the one that submitted the request. This prevents stale
sessions on other devices from remaining valid after credentials are
updated.
Keep API-token behavior unchanged. The current browser session is
preserved so the user can continue from the tab that changed the
password.
Add focused regression tests for preserving the current session, revoking
other sessions, persisting revocation, and avoiding revocation when the
current password is incorrect.
