* feat: add NVIDIA as an AI provider (integrate.api.nvidia.com)
* feat: add NVIDIA option to provider settings dropdown and aliases
* test: add NVIDIA provider detection and endpoint tests
* Add NVIDIA to _HOST_TO_CURATED and expand non-chat model filtering
- nvidia.com -> 'nvidia' curated key for proper provider routing
- _NON_CHAT_PREFIXES: bge, snowflake/arctic-embed, nvidia/nv-embed
- _NON_CHAT_CONTAINS: content-safety, -safety, -reward, nvclip,
kosmos, fuyu, deplot, vila, neva, gliner, riva, -parse,
-embedqa, -nemoretriever
* Expand non-chat model filtering for NVIDIA embedding/guard/video models
Add _NON_CHAT_PREFIXES: embed, recurrent
Add _NON_CHAT_CONTAINS: topic-control, guard, calibration,
ai-synthetic-video, cosmos-reason2
Catches remaining unfiltered non-chat models from NVIDIA catalog:
embedding (llama-nemotron-embed, embed-qa), guard (llama-guard,
nemoguard-topic-control), calibration (ising-calibration),
video (ai-synthetic-video-detector, cosmos-reason2),
recurrent (recurrentgemma-2b)
* Filter non-chat models in _probe_endpoint via _is_chat_model()
Previously _is_chat_model() was only used in the per-model probe
and _first_chat_model(), so non-chat models still appeared in the
model picker even though they were filtered in those specific paths.
Applying the filter at _probe_endpoint() return ensures non-chat
models (embeddings, safety guards, reward, calibration, video
detectors, CLIP, VLM, translation, parsing, recurrent, etc.) never
enter cached_models and never appear in the picker.
* Fix _NON_CHAT_CONTAINS to catch org-prefixed embedding models
Prefix checks (mid.startswith) miss models with org prefixes like
baai/bge-m3, nvidia/embed-qa-4, google/recurrentgemma-2b, etc.
Adding the same terms to _NON_CHAT_CONTAINS ensures they are caught
regardless of the org prefix.
Adds: embed, bge, recurrent, starcoder, gemma-2b
* fix(model-routes): drop collision-prone substrings from global non-chat filter
The NVIDIA PR added several substrings to the shared _NON_CHAT_PREFIXES
and _NON_CHAT_CONTAINS tuples. These are intended to filter out
embedding, retrieval, safety, and vision models from NVIDIA's catalog
that are not chat-completions-capable. However, four of the added
substrings collide with legitimate chat models served by other providers:
- gemma-2b matches google/gemma-2b-it (instruct chat model)
- starcoder matches bigcode/starcoder2-15b (code completion model)
- recurrent matches google/recurrentgemma-2b (language model)
- guard matches meta-llama/Llama-Guard-3-8B (safety classifier)
Removing these four from the global tuples keeps the NVIDIA-specific
filtering intact (safety, embedding, retrieval, and vision models are
still caught by other tokens such as content-safety, -safety, -reward,
embed, bge, -embedqa, -nemoretriever, nvclip, deplot, etc.) while
preventing false negatives for instruct/code models on other providers.
Tests added for gemma-2b-it, google/gemma-2b-it, and
bigcode/starcoder2-15b-instruct asserting they are recognized as chat
models.
Co-authored-by: Kenny Van de Maele <kenny@kvandemaele.be>
* fix(nvidia): remove duplicate bge/embed tokens from _NON_CHAT_CONTAINS
Tokens already present in _NON_CHAT_PREFIXES, making the CONTAINS
entries redundant since the prefix check runs first.
Co-authored-by: Kenny Van de Maele <kenny@kvandemaele.be>
* fix(nvidia): move bge to CONTAINS, add llama-guard, remove stray blanks
Co-authored-by: Kenny Van de Maele <kenny@kvandemaele.be>
* style: fix indentation of groq and xai test cases in test_provider_endpoints.py
---------
Co-authored-by: Kenny Van de Maele <kenny@kvandemaele.be>
* feat: Add ChatGPT Subscription support and related features
- Introduced a new provider option for ChatGPT Subscription in the endpoint selection UI.
- Implemented OAuth flow for ChatGPT Subscription sign-in, including polling for authorization status.
- Updated admin interface to handle ChatGPT Subscription, including disabling API key input and providing user guidance.
- Enhanced cost tracking logic to differentiate between subscription and non-subscription endpoints.
- Added new slash commands for managing skills, including listing, searching, and invoking skills.
- Implemented caching for skill catalog to optimize performance.
- Updated tests to cover new ChatGPT Subscription functionality and ensure proper endpoint probing.
- Refactored existing code to accommodate new features and improve maintainability.
* refactor: share provider device-flow setup
- reuse one device-flow backend for Copilot and ChatGPT Subscription
- add one frontend device-flow helper for Settings and /setup
- put GitHub Copilot back into Add Models, now as a dropdown option
- make provider selection just select; clicking Add starts sign-in
- stop ChatGPT Subscription setup from opening auth tabs automatically
- make /setup copilot and /setup chatgpt-subscription work from chat
- show ChatGPT Subscription in the /setup suggestions
- show the real error message when setup fails
- add focused tests for the shared flow and setup UI
* feat(chatgpt-subscription): harden credential lifecycle and streamline auth UX
Backend:
- Resolve runtime bearer for provider-auth endpoints at probe time via a
shared _resolve_probe_key() that delegates to resolve_endpoint_runtime,
applied across all probe/refresh call sites.
- Skip live completion probes and health pings for discovery-only providers
(centralized behind _is_discovery_only_provider) — the Codex/Responses API
has no such endpoints, so status is derived from cached models.
- Never persist the short lived ChatGPT bearer to the plaintext sessions
table; proactively clear any stale bearer left by an earlier code path.
- Revoke orphaned ProviderAuthSession credentials when the last endpoint
backing them is deleted (_delete_orphaned_provider_auth), surfaced via
cleared_provider_auth in the delete response.
Frontend (admin.js):
- Auto-start the device-auth flow on provider selection so the authorization
panel (code + Authorize) shows immediately instead of behind a "Sign in" click.
- Remove the redundant top button for device auth providers, move retry
into the panel via an inline "Try again".
- Drop the self-evident hint text and add an execCommand clipboard fallback so
Copy works in non-secure (HTTP/LAN) contexts.
* fix: harden chatgpt subscription provider
* chore: remove PR media from branch
* Fix chatgpt subscription recovery and token handling
---------
Co-authored-by: 5p00kyy <admin@5p00ky.dev>
- Add OpenCode Zen (https://opencode.ai/zen/v1) and Go (https://opencode.ai/zen/go/v1)
- Add provider detection via _host_match() in llm_core.py
- Add curated model list entries in model_routes.py
- Add webhook provider URLs
- Add provider icon (providers.js) and dropdown options (index.html)
- Add auto-detection patterns and setup URLs (slashCommands.js)
- Whitelist opencode.ai in URL validation (admin.js)
- Rebased on main to fix merge conflicts with _HOST_TO_CURATED refactor
Co-authored-by: M57 <hy4ri@users.noreply.github.com>
* feat: Add plan mode to the chat agent
Adds a plan mode: the agent investigates read-only, proposes a checklist, and
waits for approval before changing anything. On approval it runs with full
tools and checks items off as it goes. Enforcement reuses the existing
disabled_tools gate.
Includes a slash command: `/plan [on|off]` (and `/toggle plan`) to flip the
plan toggle from the chat input.
- src/tool_security.py, src/mcp_manager.py: read-only allowlist (tools + MCP).
- src/agent_loop.py, routes/chat_routes.py: union the disabled set, prepend the
plan directive, force agent mode.
- static/: plan toggle pill, Approve & Run, dockable plan window, task-list
checkboxes, and the /plan slash command.
- tests/test_plan_mode.py.
* Plan mode: persistent re-referenceable plan + agent write-back
Three improvements so a long plan survives a weak model and stays in reach:
1. Re-reference the plan (out-of-context fix). On the execution turn the frontend
sends the approved checklist back (`approved_plan`); the backend pins it as a
top-of-context `## ACTIVE PLAN` system note (kept by the context trimmer), so
the agent can always re-read the plan instead of losing the thread on a long
run. New `build_active_plan_note()` (unit-tested).
2. Re-open / dock the plan anytime. The plan checklist is stored per-session
(localStorage). When a plan exists, the plan-mode button opens a small menu
("Show plan" / "Plan mode: On/Off") that re-opens the side-dockable plan
window — so it can stay docked while the agent works. The window live-refreshes
as the plan changes.
3. Agent write-back: new `update_plan` tool. The agent calls it to tick steps
`- [x]` after finishing them, or to revise steps when the user asks. Marker
tool (no I/O) → `plan_update` SSE event → the stored plan + docked window
update live. The ACTIVE PLAN note instructs the agent to use it.
Backend: src/agent_loop.py (param + pin + note builder + emit + prompt blurb),
src/tool_execution.py (update_plan handler), routes/chat_routes.py (parse
`approved_plan`, relay `plan_update`), registration in tool_schemas / agent_tools
/ tool_index (always-available, not admin-gated).
Frontend: static/js/chat.js (plan store, send `approved_plan`, handle
`plan_update`, capture restated checklists), static/app.js (plan-button menu),
static/js/planWindow.js (`isPlanWindowOpen`), static/js/storage.js (PLAN key).
Tests: tests/test_plan_mode.py (plan-note), tests/test_update_plan_tool.py.
* Plan mode: drop bash/python, rely on read-only discovery tools
Shell can mutate (write files, hit the network) and can't be constrained to
read-only at the tool layer, so plan mode no longer relies on a prompt to keep
it well-behaved — bash/python are removed from the read-only allowlist and added
to the fail-closed block set. Discovery is covered by the dedicated read-only
tools (read_file, grep, glob, ls) instead.
Rewrites the plan-mode directive to state shell is disabled and lists the
available read-only tools positively. Addresses review feedback on #638.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Comment: note _MCP_READONLY_VERBS are prefixes not whole words
Clarifies that entries like "summar" are intentional stems matched via
startswith (covers summarise/summarize/summary), not typos. Addresses review
feedback on #638.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Plan mode: clarify why gating inverts the allowlist into a denylist
Rename _PLAN_MODE_FALLBACK_BLOCK -> _PLAN_MODE_KNOWN_MUTATORS and rewrite the
comments. The tool gate is a denylist (disabled_tools); plan mode's policy is an
allowlist, so it returns the inverse (all known tool names minus the allowlist).
The static mutator set is a backstop for the schema-derived name list, which
misses XML-only tools and can fail to import. Addresses review feedback on #638.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Plan mode: stop hardcoding the read-only tool list in the directive
The model is already shown its available (read-only) tools by _assemble_prompt,
which removes every disabled tool. Enumerating them again in the directive only
duplicated that list and would drift as tools change. Point at the tools listed
below instead. Addresses review feedback on #638.
- /setup gains explicit provider subcommands (deepseek, openai,
anthropic, openrouter, groq, gemini, xai, ollama, copilot, local,
endpoint) so the autocomplete popup surfaces "/setup de…" suggestions
with format hints, and bare-provider invocations still prompt for
the key.
- Add API endpoint defaults to kind=api (auto-refresh /v1/models)
instead of kind=proxy. Proxy was a frequent footgun for OpenAI-
compatible endpoints that DO serve /v1/models — the user got an
empty model list and had to flip the dropdown.
- Model picker now includes offline endpoints with stale:true so a
briefly-down local server doesn't vanish from the picker (it dims
and shows the offline pill, clickable anyway). Dedup prefers the
online entry when the same model is exposed by both.
- Document library modal header reflects the active sub-tab via
_TAB_HEADERS so it no longer shows the wrong section name when
switching between Documents / Skills / Templates.
* 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.
Slash-command replies and the echoed /setup command are persisted to session
history so they render in the transcript, but they are UI chatter the user
never meant as conversation. They were sent to the model on the next turn,
which then commented on '/setup ...' and exposed transient values (e.g. the
Copilot device user_code) to the LLM.
- get_context_messages() (the LLM-API view) now skips messages tagged
metadata.source == 'slash'. Display/history-load paths use raw history and
are unaffected.
- slashCommands.js tags the echoed user command with source:'slash' too (the
assistant replies already carried it); the user line was the one untagged
path that still reached context.
Fixes#2634.
* 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
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.
- Turn the "/setup" text on the welcome screen and fallback state into a clickable link that automatically runs the setup command.
- Add an interactive down-arrow "Use in Chat" button next to copy button on typewriter-generated setup code blocks.
- Programmatically trim the "..." placeholder when inserting API keys, focusing the cursor right after "sk-".
- Implement click-delegation for supported provider spans and raw code elements inside the setup guide to instantly pre-populate the input bar.
Typing / in the chat composer now shows a filtered popup listing all
available commands with their description. Arrow keys or Tab to select,
Enter/Tab to insert, Esc to close, click also works.
- New module: static/js/slashAutocomplete.js
Reads the existing COMMANDS registry (and LEGACY_ALIASES) from
slashCommands.js — no command logic added here, just discovery UI.
Excludes easter-egg commands (flip, roll, 8ball, fortune, odyssey,
ascii). Promotes short legacy aliases (/new, /clear, /web, /compact,
/research, etc.) as first-class rows so users don't have to know the
full /session new form.
- slashCommands.js: export COMMANDS and LEGACY_ALIASES so the new
module can read the registry.
- chat.js: lazy-import slashAutocomplete on init, wire to #message
textarea.
- style.css: popup + row styles using existing CSS variables.
Maruf Hasan