* feat(mcp): add Streamable HTTP transport with OAuth 2.0
Odysseus could only reach MCP servers over stdio and SSE, so modern
remote servers like https://mcp.higgsfield.ai/mcp (Streamable HTTP,
gated behind OAuth) could not be connected.
Add an `http` transport that connects via the SDK's
streamablehttp_client and authenticates with the SDK's
OAuthClientProvider: RFC 9728 protected-resource discovery, RFC 8414
authorization-server metadata, Dynamic Client Registration,
authorization-code + PKCE, and token refresh. A small bridge
(src/mcp_oauth.py) connects the SDK's blocking callback to the existing
web callback route via an asyncio.Future keyed by the OAuth `state`,
and the dynamic client registration plus tokens persist per-server in a
new encrypted `oauth_tokens` column.
The connect runs as a bounded background task so the "Add server"
request returns immediately; redirect_handler publishes needs_auth +
auth_url to connection state as soon as discovery/DCR completes (which
can exceed the bounded wait), and the UI polls until connected. Remote
users finish via the existing paste-back flow. The Google OAuth path is
left unchanged.
- core/database.py: encrypted oauth_tokens column + migration
- src/mcp_oauth.py: OAuth provider, DB-backed TokenStorage, state registry
- src/mcp_manager.py: http dispatch, background connect, _connect_http
- routes/mcp_routes.py: http validation, needs_auth/auth_url, callback bridge
- static/js/settings.js: Streamable HTTP option + OAuth flow with polling
- tests: 5 new unit tests (transport dispatch, registry, token storage)
Verified against the live Higgsfield server: discovery, DCR (client_id
issued), loopback redirect accepted, and a PKCE authorization URL with
needs_auth status. No regressions (full suite delta is only the 5 added
passing tests).
* fix(mcp): address PR #1033 review feedback
- mcp_oauth: derive redirect URI from OAUTH_REDIRECT_BASE_URL/APP_PUBLIC_URL
(default http://localhost:7000) instead of hardcoding the port
- mcp_oauth: leave OAuth scope unset so the SDK derives it from the server's
WWW-Authenticate/protected-resource metadata; hardcoding an OIDC scope broke
non-OpenID MCP servers (verified: Higgsfield still gets its server-derived
scope)
- mcp_oauth: prune abandoned OAuth flows (_prune_stale + _pending_ts) so the
module-level registries can't grow unbounded
- mcp_oauth: persist tokens/client-info in a single DB session/commit
(_update) instead of a load+save double round-trip
- mcp_manager: cancel and drop the background connect task in
disconnect_server so a deleted server stops publishing status
- database: document why the oauth_tokens migration uses TEXT while the model
declares EncryptedText (encryption is applied at the Python layer)
- settings.js: surface persistent OAuth-poll failures and an explicit timeout
message instead of silently swallowing errors
- tests: cover the stale-flow pruning
* static/js/settings.js now shows an in-flight loading state on the buttons that fire requests:
* feat: Add workspace: confine agent tools to a folder
Pick a server folder as the agent's workspace so its file/shell tools work
there and don't touch files outside it. File tools are hard-confined; bash/
python run with cwd set to the folder.
Includes a slash command: `/workspace` (alias `/ws`) — show / `set <path>` /
`clear` / `pick` (open the directory browser).
- routes/workspace_routes.py: GET /api/workspace/browse (admin-only).
- src/tool_execution.py: hard path confinement for read_file/write_file;
bash/python cwd. Threaded route → stream_agent_loop → execute_tool_block.
- src/agent_loop.py: workspace note prepended to the system prompt.
- static/: overflow menu item, input-bar pill, directory-browser modal, and
the /workspace slash command.
- tests/test_workspace_confine.py.
* Wire workspace confinement into tools that landed after this PR
edit_file (#1239) and grep/glob/ls (#1670) merged after workspace-confine was
written, so they bypassed the workspace boundary. Thread the workspace through:
- edit_file: _do_edit_file resolves via _resolve_tool_path_in_workspace
- grep/glob/ls: _resolve_search_root confines to the workspace (root + paths)
- bash/python/bg cwd: workspace or _AGENT_WORKDIR (keep the #2586 data-dir
default when no workspace is set)
Tests cover edit_file + grep/ls confinement (inside ok, outside rejected).
* Workspace picker: editable path bar + modal style cohesion + cross-platform hardening
- Make the current-folder strip an editable address bar: type/paste a full
path and press Enter to navigate (also reaches other Windows drives and
hidden dirs the up-only browser cannot).
- Reuse shared modal CSS: drop bespoke .workspace-modal-content/.workspace-btn*
in favour of base .modal-content/.modal-body and the .confirm-btn button
family; separators/hover use var(--border). Net -31 CSS lines.
- Fix the path field overflowing the modal right edge (flex stretch + margin
vs an overflow:auto scrollbar-feedback loop): full-bleed, no h-margin.
- Cross-platform confinement: normcase the workspace commonpath check so
containment holds on case-insensitive filesystems (Windows/macOS).
- Make tests OS-portable: sibling temp dirs instead of /etc, python os.getcwd()
instead of pwd. 5 pass.
* feat: round-limit handling — Continue affordance at the cap + configurable cap
When the agent loop runs out of rounds (per-message step cap, default 20)
while still actively using tools, it stopped silently mid-task. Now:
1. The loop emits a `rounds_exhausted` SSE event at the cap, and the UI shows
a "Continue" pill at the bottom of the chat that resumes the task from where
it left off. Repeated cap-hits each get a fresh Continue (multiple continues
in a row).
2. The cap is configurable in Settings → Agent ("Max steps per message"),
validated on the client, at the save endpoint, and at the read site.
- src/agent_loop.py: track `_exhausted_rounds` (set only when a full
tool-executing round completes on the last allowed round — i.e. the agent
wanted to keep going); emit `{"type":"rounds_exhausted","rounds":N}` (logged).
- routes/chat_routes.py: read `agent_max_rounds` (clamped 1..200), pass as
`max_rounds`; forward the new event through the SSE relay.
- routes/auth_routes.py: validate numeric settings on save (int + clamp;
agent_max_rounds 1..200, agent_max_tool_calls 0..1000; 400 on non-int).
- src/settings.py: default `agent_max_rounds = 20`.
- static/: Settings input + client-side clamp; the Continue pill (reuses the
existing .stopped-indicator / .continue-btn classes and theme vars
--border/--fg/--bg/--accent); appended to the chat container so it survives
the message re-render at stream finalize. chat.js cache version bumped.
* test: cover rounds_exhausted emission (cap-hit vs normal finish)
Drives the real stream_agent_loop with mocked LLM stream / tool exec / settings:
a tool block every round exhausts the cap and must emit rounds_exhausted; a
plain answer hits the done-break and must not. Guards the for/else logic.
* feat(provider): add GitHub Copilot provider with device-flow auth
Adds GitHub Copilot as a model provider, so Copilot models (gpt-4o/4.1/5,
Claude, Gemini, …) work through the normal chat + agent loop, incl. native
tool calling and vision.
Auth is one-click via the GitHub OAuth device flow; the access token is stored
as the endpoint's (encrypted) api_key and sent directly as `Authorization:
Bearer` (no Copilot-token exchange, no refresh — matching how editors talk to
the Copilot API). Copilot is a normal ModelEndpoint detected by host; the only
provider-specific behaviour is a small set of required request headers,
injected centrally.
Sign-in is available from Settings → model endpoints ("Connect GitHub
Copilot") and from chat via `/setup copilot`.
- src/copilot.py (new), routes/copilot_routes.py (new): constants, header
builders, device-flow start/poll, model discovery, owner-scoped endpoint
provisioning.
- src/llm_core.py, src/endpoint_resolver.py: detect `copilot`, inject headers,
per-request x-initiator/vision.
- src/agent_loop.py: allowlist api.githubcopilot.com for native tool schemas.
- src/model_context.py: known context windows for Copilot (no unauthenticated
/models probe).
- static/, README, tests/test_copilot*.py.
* Tidy copilot_routes: clarify supports_tools, note _PENDING is per-process
* fix: renaming a user leaves their API tokens resolving to the old owner
* Drive rename token-cache test through the real auth resolver instead of patching a closure
Python's bool('false') returns True because the string is non-empty.
A JS client serialising a boolean as the string 'false' would have
supports_tools or is_enabled silently flipped to True — so 'disable
tool support' would actually enable it.
Use an explicit lookup dict for supports_tools and a case-insensitive
string check for is_enabled so both string and native bool inputs are
handled correctly.
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Two bugs prevented pinned models from appearing in the chat model picker:
1. _fetch_models() only used _cached_model_ids(), ignoring pinned_models.
Since Fireworks AI doesn't list kimi-k2p6-turbo in /v1/models, the
cached list was empty, so the endpoint showed as offline with no models.
2. _curate_models() filtered unknown pinned IDs into models_extra, but the
chat UI only reads models (primary list). Pinned models stayed invisible.
Fix: use _visible_models() to merge cached + pinned, then promote pinned
IDs from models_extra to models so they appear in the dropdown.
Closes#1521 follow-up
Adding GigaChat (Sber) or an on-premise enterprise LLM gateway as a
model endpoint fails on first probe with
CERTIFICATE_VERIFY_FAILED: self-signed certificate in certificate
chain (_ssl.c:1000)
because their TLS chain is signed by a private root CA (Russian Trusted
Root CA for GigaChat; corporate CA for on-prem) that isn't part of the
default system / certifi trust store. The endpoint shows offline in
the picker even though the URL and API key are correct (issue #722).
The right fix is to extend the trust store, not to weaken verification.
This change:
- src/tls_overrides.py: new module that resolves an opt-in env var
LLM_CA_BUNDLE at import time, builds a shared SSLContext via
ssl.create_default_context() (so the system / certifi bundle is
loaded first) and layers the operator's PEM on top with
load_verify_locations(). Exposes llm_verify() returning a value
suitable for httpx `verify=`. Defaults to True (httpx built-in
trust) when the env var is unset, when the file is missing, or
when the PEM fails to load — verification is never silently
disabled, the warning is logged and we fall back to the safe path.
- src/llm_core.py: thread llm_verify() into the shared AsyncClient
used by stream_llm / streaming completions.
- routes/model_routes.py: thread llm_verify() into the five httpx.get
call sites in _probe_endpoint / _ping_endpoint so adding a
private-CA endpoint goes green on the very first probe and the
picker stops showing it offline.
- .env.example: document LLM_CA_BUNDLE with the GigaChat case as the
concrete example.
Deliberately NOT included: a verify=False knob (global or per-host).
Disabling verification exposes the affected endpoint to MITM, and the
operator-supplied bundle is the correct fix for legitimate private-CA
providers — so the only switch in this PR is the safe one.
Closes#722.
txt/html/md export joined and string-munged message.content directly, so a
multimodal turn (content is a list of blocks) crashed export with a TypeError
on join (txt) / AttributeError on .replace (html), and None content (tool-only
assistant turns) rendered as the literal 'None'. Add a _content_to_text helper
that flattens string/list/None to plain text and apply it at the three export
sites. JSON export is unchanged (it serializes structured content correctly).
Plain-string content is returned unchanged, so existing exports are identical.
Co-authored-by: ghreprimand <203024559+ghreprimand@users.noreply.github.com>
get_builtin_overrides() was swallowing all exceptions with a bare
`except Exception: pass`, so misconfigured tool-description overrides
would silently produce wrong agent behaviour with no log trace.
The background endpoint refresh loop had the same pattern: any probe
failure was silently ignored, giving operators no signal that the
refresh was broken.
Also removes a circular self-import (`from src.agent_loop import
_build_base_prompt`) inside _build_system_prompt; the function is
already in scope and the import created a latent circular reference risk.
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
routes/document_routes.py imports UPLOAD_DIR from src.constants in 8
separate function bodies but never uses it (pyflakes: 'imported but
unused' ×8). Drop the dead imports — no behaviour change.
routes/calendar_routes.py imports several names it never uses (pyflakes):
typing.Tuple, dateutil.rrule.{rruleset,DAILY,WEEKLY,MONTHLY,YEARLY}, and
auth_helpers.get_current_user. Drop them (the whole DAILY/WEEKLY/MONTHLY/
YEARLY line goes; rrulestr and require_user are kept). No behaviour change.
* fix: support large proxy model endpoint refresh
Large OpenAI-compatible proxy endpoints can expose hundreds of models and make /v1/models slow. Treating those endpoints like local model servers caused model picker opens and background probes to repeatedly hit /models, producing timeouts and making otherwise usable endpoints appear offline.
Make model endpoint discovery cached-first for normal UI usage, add explicit proxy/API classification and refresh policy fields, exclude proxy/API endpoints from aggressive local probing, and preserve cached models when refresh fails.
Manual Test/Add/Refresh actions still fetch the full model list with longer timeouts so users can intentionally import large proxy model lists without blocking normal model picker usage.
* fix: preserve endpoint ping status semantics
* fix: revoke API bearer tokens when their owner is deleted
* Re-run CI
* Invalidate bearer-token cache on user delete so warmed cached tokens stop working
Blind Compare anonymized the pane headers, but each pane still created a helper chat session named "[CMP] <real-model>" and GET /api/sessions returned the session's model field. So the sidebar and the session-list API let a user map "Model A" back to its real model before voting, defeating the blind test.
- Frontend (static/js/compare/index.js, panes.js): in blind mode, name helper sessions by their neutral slot ("[CMP] Model A") instead of the model, matching the existing blind pane labels.
- Backend GET /api/sessions (routes/session_routes.py): blank the model field for [CMP]-prefixed helper sessions via a new _public_model helper.
- Backend /api/compare/start (routes/compare_routes.py): name blind sessions by slot and withhold model_left/model_right/mapping from the blind response (revealed at /vote).
- Tests: tests/test_blind_compare_redaction.py.
Fixes#1285.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Two more bare uid.decode() calls at lines 889 and 897 crash with
AttributeError when uid is already a string. Applies the same
isinstance guard used everywhere else in this function.
- Claude Agent integration: AGENT_CONFIGS.claude, INTG_TYPES.claude,
setup_claude_routes + integrations/claude/ skill bundle. Wired in
app.py alongside the existing Codex integration; same scope-gated
/api/codex/* backend; agent form has new description so users know
it's setup for an external CLI, not an agent streamed inside Odysseus.
- Remove mark_email_boundaries action: not good enough yet. Stripped
from task UI, scheduler defaults, registry, tool schema, clear-cache
route. Added to RETIRED_HOUSEKEEPING_ACTIONS so existing rows + their
task_runs auto-purge on startup.
- Cookbook download reliability: "Reconnect" fix button in the crash
diagnosis runs _reconnectTask after probing has-session. 30s confirm
window before marking a download "done" — kills the Finished/Downloading
flicker when tmux briefly drops between captures.
- Mobile UX: tap anywhere on a note card body opens the editor;
Update button morphs to Archive when no text was edited; bell icon
accent-colored; chip-trashing notif pills fade so only the icon
rotates into the trash zone.
- Settings integrations: SVG-per-provider in email + API preset
dropdowns, custom drop-up-aware menus, accent sub-header icons
(IMAP/SMTP), consistent card styling between list + edit, contacts
Edit/Delete icons, agent form description copy.
POST /api/research/start (require_privilege "can_use_research" — a normal
user, not admin) resolves an endpoint two ways and feeds the row's *decrypted*
api_key + base_url into research_handler.start_research(llm_endpoint=,
llm_headers=):
1. body.endpoint_id -> query(ModelEndpoint).filter(id == endpoint_id,
is_enabled == True).first()
2. no endpoint + nothing configured -> query(ModelEndpoint).filter(
is_enabled == True).first()
Neither was owner-scoped. ModelEndpoint is a per-user resource (core/database.py:
non-null owner = private, "the model picker only shows the endpoint to that
user"). So a research-privileged user (or a chat-scoped token) could pass another
user's PRIVATE endpoint_id — or fall through to their first-enabled row — and run
research against that owner's endpoint: spending their API key / quota and
reaching whatever internal base_url they configured (SSRF).
This is the same multi-tenant owner-scoping class already fixed for
companion/models, the /api/v1/chat session gate (#870), and the /api/v1/chat
first-enabled fallback (#1045, _first_enabled_endpoint). These two sinks on the
research path were missed.
Extract `_owned_enabled_endpoint(db, owner, endpoint_id=None)` which scopes via
the shared owner_filter helper (own rows + legacy null-owner shared rows),
matching webhook_routes._first_enabled_endpoint and session_routes._owned_endpoint.
Used for both sinks. A scoped miss on the explicit-id path returns the existing
404 ("Endpoint not found or disabled"), so endpoint existence isn't revealed. A
null/empty owner stays a no-op (single-user / legacy mode).
Add regression tests pinning both lookups (cross-owner rejected, own-row
allowed, legacy shared-row allowed, disabled-skipped, fallback never borrows,
null-owner no-op).
POST /api/compare/start (a normal-user route — no admin gate) creates two
caller-owned [CMP] sessions from caller-supplied endpoint URLs (endpoint_a /
endpoint_b), then copies a ModelEndpoint's *decrypted* api_key into each
session's headers by matching on URL:
ep = db.query(ModelEndpoint).filter(ModelEndpoint.base_url == base).first()
The match was not owner-scoped. ModelEndpoint is per-user (core/database.py:
non-null owner = private, "the model picker only shows the endpoint to that
user"). So a user could pass another user's endpoint base_url, have that owner's
api_key copied into a [CMP] session they own, then drive /api/chat_stream on that
session — spending the victim's API key / quota and reaching whatever base_url
they configured. Same multi-tenant owner-scoping class already fixed for
companion/models, /api/v1/chat (#870, #1045), session create/switch-model
(#1093), and /api/research/start (#1099).
Extract `_owned_endpoint_by_url(db, base_url, owner)` which scopes the match via
the shared owner_filter helper (own rows + legacy null-owner shared rows),
mirroring session_routes._owned_endpoint. A scoped miss copies no key (the
comparison session simply carries no borrowed credential). A null/empty owner
stays a no-op (single-user / legacy mode).
Add regression tests pinning the scoped match (cross-owner rejected, own-row
allowed, legacy shared-row allowed, no-match None, null-owner no-op).
cfg is loaded from prefs and already holds the existing, already-encrypted
password. When the edit form was re-submitted without re-typing the
password, the elif branch called encrypt() on that stored ciphertext,
compounding the encryption on every save and eventually breaking sync with
a decrypt error.
Drop the elif branch: the stored value is preserved as-is, and we only
encrypt when a new password is actually supplied.
Fixes#1915
Co-authored-by: EkaTantra Dev <dev@ekatantra.com>
This persists work that had been living only in the cookbook docker
container's writable layer — never committed to the host source. Brought
back to git intact, app.py registration re-applied surgically on top of
current main (not the older container copy, which would have regressed
the Windows MIME fix, asynccontextmanager lifespan, and webhook auth
exempts).
routes/codex_routes.py (new):
- GET /api/codex/capabilities — what this Odysseus exposes.
- GET /api/codex/plugin.zip — downloads integrations/codex as a zip.
- GET /api/codex/todos — scope-gated todos:read|write.
- POST /api/codex/todos — scope-gated todos:write.
- GET /api/codex/emails — scope-gated email:read|draft|send.
- GET /api/codex/emails/{uid} — single-message fetch.
- _scope_owner() enforces api_token scopes before touching user data.
routes/api_token_routes.py (+103 lines):
- Adds Codex-token-specific issuance + revocation paths.
integrations/codex/ (new bundle, shipped via /api/codex/plugin.zip):
- README.md — install instructions.
- .codex-plugin/plugin.json — Codex plugin manifest.
- scripts/odysseus_api.py — Python client used by the skill.
- skills/odysseus/SKILL.md — Codex skill definition.
static/js/settings.js (+253 lines):
- New "Codex Agent" option in the Integrations dropdown.
- Add / edit panel with plugin-bundle download link + curl-with-token
install instructions per agent.
app.py:
- 7-line surgical change: capture email_router = setup_email_routes()
and register setup_codex_routes(email_router=email_router) after the
email module so the Codex routes can borrow its helpers.
This persists work that had been living only in the cookbook docker
container's writable layer — never committed to the host source. Brought
back to git intact, app.py registration re-applied surgically on top of
current main (not the older container copy, which would have regressed
the Windows MIME fix, asynccontextmanager lifespan, and webhook auth
exempts).
routes/codex_routes.py (new):
- GET /api/codex/capabilities — what this Odysseus exposes.
- GET /api/codex/plugin.zip — downloads integrations/codex as a zip.
- GET /api/codex/todos — scope-gated todos:read|write.
- POST /api/codex/todos — scope-gated todos:write.
- GET /api/codex/emails — scope-gated email:read|draft|send.
- GET /api/codex/emails/{uid} — single-message fetch.
- _scope_owner() enforces api_token scopes before touching user data.
routes/api_token_routes.py (+103 lines):
- Adds Codex-token-specific issuance + revocation paths.
integrations/codex/ (new bundle, shipped via /api/codex/plugin.zip):
- README.md — install instructions.
- .codex-plugin/plugin.json — Codex plugin manifest.
- scripts/odysseus_api.py — Python client used by the skill.
- skills/odysseus/SKILL.md — Codex skill definition.
static/js/settings.js (+253 lines):
- New "Codex Agent" option in the Integrations dropdown.
- Add / edit panel with plugin-bundle download link + curl-with-token
install instructions per agent.
app.py:
- 7-line surgical change: capture email_router = setup_email_routes()
and register setup_codex_routes(email_router=email_router) after the
email module so the Codex routes can borrow its helpers.
Validate only token-supplied direct base_url values for API-token chat requests, while keeping admin-configured endpoints available for local/LAN providers.
Scope configured endpoint fallback selection to the API token owner, fail closed for unknown token owners, and preserve strict session ownership checks when resuming sessions from chat-scoped API tokens.
Add focused regression coverage for direct base_url SSRF rejection, configured endpoint fallback behavior, token-owner scoping, URL validation, and null-owner session/endpoint handling.
Backend (services/hwfit + routes):
- rank_models picks visible set by REQUESTED column, not always score —
sorting by Param now shows highest-param models PERIOD (incl. too_tight).
- New fit_only param. Multi-GPU rigs filter GGUF Q*/IQ quants (vLLM/SGLang
cannot serve them); default non-prequantized to BF16 on 2+ GPUs.
- AWQ / GPTQ-8bit get a -1.0 quality penalty (was 0.0, tied with FP8), so
FP8 wins when both fit.
- Version-aware tiebreaker (parse Mn.n / Vn) — MiniMax-M2.7 ranks above
M2.5 on equal composite score; >=100B integers not misread as versions.
- /api/cookbook/hf-latest no longer drops models without an "NB" pattern in
the repo id (MiniMax-M2.7, DeepSeek-V4-Pro etc. were silently filtered).
- Cached-model scan: atexit flushes models JSON even if the script is
killed mid-walk; each scan_dir wrapped in try/except; timeout 60s -> 180s.
- KB granularity for sub-MB sizes (was "0 MB" for 12 KB shells). New
"stalled" status for shells <1 MB with no .incomplete files.
- /api/cookbook/state POST guard: rejects "done" download tasks lacking
DOWNLOAD_OK / DOWNLOAD_FAILED / /snapshots/ when the last-mentioned
shard is N<total — stops stale tabs from poisoning persisted state.
- hf_models.json: add zai-org/GLM-5.1; flip zai-org/GLM-5 quantization
Q4_K_M -> BF16 (it is the native base, not a quant).
Frontend (static/js):
- Scan/Download toolbar: quant defaults to All; ctx slider (8k/16k/32k/
50k/128k/Max) ported from origin/main with sort=fit on drag, sort=score
on Max. GPU toggle commits _activeCount to maxGpu on initial render. Fit
column header tagged with active budget (RAM / GPU / N GPU).
- Foldable Download admin-card: the Download h2 is the chevron trigger;
state persists in localStorage.
- Download card surfaces destination dir (Dir: <path>). Same dir on running
task row, font/color matched to uptime (9px Fira Code muted, opacity .4).
- Serve panel ctx text input always resets to model max on open. Sub-MB
cached models show with red "download stalled" badge.
- Bulk-select Cancel + Delete reset the Select button label on exit.
- Cookbook running: false-finished bug fixed — DOWNLOAD_OK or /snapshots/
required; bare "Download complete" no longer marks the task done after
the first config file. Clear button now sends tmux kill-session too.
True overall % for multi-shard downloads: ((N-1)+frac)/total instead of
hf_transfer per-shard aggregate.
- Diagnosis card simplified: removed fold toggle, copy button, dismiss X.
Suggestion font matches message body (12px).
- HF token field flashes green check + "Saved" on save.
- Cached scan no longer counts stalled rows as downloaded in Scan/Download.
CSS:
- dep Install button width pinned to 76px to match Installed split.
- task-sub row +1px; task-status badge gets margin-right 8px.
- Ctx slider styled like gallery editor sliders (thin pill rail, red thumb).
- Bulk-select cancel button top -3px -> -5px.
The llama.cpp serve auto-install built a bare `llama-cpp-python` in the Linux
source-build fallback and the Termux path, but the serve command runs
`python3 -m llama_cpp.server`, which needs the `[server]` extra. Because the
"already installed?" guard only checks `import llama_cpp` (a bare install
satisfies it), the missing extra was never added, so serving crashed with
`ModuleNotFoundError: No module named 'starlette_context'` (issue #730).
- Request the `[server]` extra in both the Termux direct install and the Linux
Python-bindings fallback (the Windows path already used `[server]`).
- Shell-quote the package spec in `_pip_install_fallback_chain` via `shlex.quote`
so the `[server]` brackets aren't treated as a bash glob; plain names unaffected.
Tests: tests/test_cookbook_helpers.py gains extras-quoting coverage and a
serve-runner regression guard.
A header that declares an unknown or invalid MIME charset (e.g. a malformed
or spam Subject like =?x-unknown-charset?B?...?=) raised an uncaught
LookupError. bytes.decode(..., errors="replace") only handles byte-decode
errors, not codec *lookup* failures, so the "replace" safety net did not
apply.
_decode_header decodes Subject/From/To/Cc for the inbox list, single-message
fetch, and the background mail pollers (routes/email_routes.py,
routes/email_pollers.py, src/builtin_actions.py), so a single bad message
could crash the whole inbox render or the poller loop.
Wrap the per-part decode in try/except (LookupError, ValueError) and fall
back to utf-8/replace. Valid charsets (utf-8, iso-8859-1, ...) are unchanged.
Adds tests/test_email_decode_header.py — the unknown-charset case fails
before this change and passes after.
Serving a diffusion model auto-registered an image endpoint so it appeared in the model picker, but serving an LLM (llama.cpp/vLLM/SGLang/Ollama) did not — a downloaded-and-served model never showed up until the user manually ran /setup. Add _auto_register_llm_endpoint (text sibling of _auto_register_image_endpoint): parse the serve port (explicit --port, else Ollama 11434, else llama.cpp 8080), point an endpoint at http://host:port/v1, dedupe by base_url, and set supports_tools from --enable-auto-tool-choice. Wire it into /api/model/serve for any non-pip, non-diffusion serve.
Events are stored with a naive (UTC) dtstart, but standard .ics exporters
(Google, Apple, Outlook, Fastmail) write the recurrence bound as an absolute
UTC value, e.g. FREQ=DAILY;UNTIL=20240105T090000Z. dateutil refuses to mix a
tz-aware UNTIL with a naive DTSTART ("RRULE UNTIL values must be specified in
UTC when DTSTART is timezone-aware"), so _expand_rrule's except branch swallowed
the ValueError and silently downgraded the event to non-recurring — every
occurrence after the first vanished from the calendar.
When dtstart is naive, strip the trailing Z from UNTIL so it matches the naive
DTSTART before parsing. No effect on tz-aware dtstarts or naive-UNTIL rules.
Adds tests/test_calendar_rrule_until_utc.py — a daily series bounded by a UTC
UNTIL expands to all 5 occurrences (fails before: returns 1, non-recurring).
Co-authored-by: NubsCarson <nubs@nubs.site>
_parse_vcards matched property names with a bare line.startswith("EMAIL") /
"TEL" / "FN:" / "UID:". RFC 6350 property groups — emitted by default by Apple
Contacts / iCloud and many CardDAV servers — prefix the name with a group token,
e.g. item1.EMAIL;type=pref:jane@example.com. Those lines never matched, so emails
and phone numbers from any Apple-synced or Apple-exported address book were
silently dropped (breaking contact search by email, composer autocomplete, and
vCard/CSV export round-trips).
Strip an optional leading group token before matching and value extraction;
no-op for non-grouped lines.
Adds tests/test_contacts_vcard_parse.py (grouped + plain) — the grouped case
fails before this change and passes after.
Co-authored-by: NubsCarson <nubs@nubs.site>
