ensureInitialized accepts an optional server id set; the agentic
flow passes the servers its tool policy leaves usable, so servers
disabled for the conversation no longer get connected. Callers
without arguments keep the global behavior.
Assisted-by: pi
The checkbox indicator snippet renders the check icon whenever
checked, so the mixed state never showed. Pass the checked prop
as false while indeterminate.
Assisted-by: pi
The base dialog header is sticky; this dialog overrides it to
relative so the title and description scroll away with the body.
relative keeps the header as the close button's containing block.
Assisted-by: pi
Label above the block in a single full-width cell, so the template
gets the whole table width and its horizontal scroll is usable on
narrow screens.
Assisted-by: pi
Auto table layout sizes columns to content min-content, so the chat
template's long lines kept inflating the dialog despite the scroll
wrapper. Fixed layout pins the first column and gives the value
column a definite width the wrapper can scroll within. min-w-0 on
the grid item guards the same path on the grid side.
Assisted-by: pi
The dialog sets container-type: inline-size, so auto width ignores
its contents and collapses to padding. Give it an explicit viewport
width on mobile and cap at 60rem on desktop.
Assisted-by: pi
Never rendered anywhere; its entries are duplicates (prompts and
resources live in the attachment menu, servers in the add menu and
sheet) that would need capability wiring maintained for nothing.
Assisted-by: pi
hasPromptsCapability and hasResourcesCapability accept an optional
set of usable server ids; ChatFormActions resolves it from global
enablement minus the active conversation's policy. Restores the
per-chat gating the old mcpServerOverrides provided; callers without
arguments keep global behavior.
Assisted-by: pi
A category that is on with nothing enabled under it now shows the
mixed checkbox state instead of a checked box next to 0/N. Rows
grayed out by a disabled parent no longer stay clickable behind
opacity.
Assisted-by: pi
Documents getEnabledToolsForLLM properly, unstacks the JSDoc at
isEntryEnabled, makes setToolEnabled persist like setCategoryEnabled
(toggleTool now delegates to it), and routes the serverId-less MCP
branch of toolKey through getMcpServerToolsKey so both key formats
come from one place. Preferences banner comments become plain
comments so they no longer read as class member docs.
Assisted-by: pi
Adds per-category checkboxes and a caption stating the tab applies
to new conversations; tool picks inside a chat only affect that
chat.
Assisted-by: pi
Extends the category-level check: the flow also skips MCP init when
every globally-enabled server has its server-scoped group key
disabled in the tool policy.
Assisted-by: pi
The group key disables every tool of the server regardless of
per-tool keys, so re-enabling a server from Settings did nothing
while it was set.
Assisted-by: pi
Resolve the effective tool policy before deciding whether to
initialize MCP so flows that will not send any MCP tools skip the
init work. Callers without a policy keep falling back to global
defaults.
Assisted-by: pi
Servers whose tools are disabled for the current conversation (MCP
category or server-scoped key) no longer show as enabled for the chat.
Assisted-by: pi
The Reasoning Effort and Working Directory headers sat above tool
policy methods; move them above setCwd and setReasoningEffort. Also
clarify the disabled tools JSDoc: existing rows with an unset field
have an empty policy, defaults apply only when there is no active
conversation.
Assisted-by: pi
A corrupt disabledToolKeys localStorage entry no longer aborts the
migration; it falls through with empty defaults so legacy MCP server
overrides still get converted.
Assisted-by: pi
MCP server enabled state is now global (server.enabled); per-conversation
control moves to disabled tool keys and categories seeded into each new
conversation. Aligns the add sheet with the dropdown options and flattens
MCP tool groups in the tools submenu.
Assisted-by: pi
* hexagon: use non-host bufs by default and make the backend fully async
* hex-hb: remove optional hostbuf support and fix async copy
* hex-unary: relax supported unary check
* hex-bufs: use same get_alignment for host bufs
* snapdragon: bump android_platform to 34
* hex-rows: super hacky get/set rows for q8_0
* hex-get-rows: fix q8_0
* hex-get-rows: supprot for f16 and cleanup for q8_0
* hex-get-rows: generic macros and specialized thread funcs
* hex-get-rows: add DMA pipeline, vtcm_layout and kernel params
* hex-set-rows: fix q8_0 support, add dma and tracing
* hex-tests: override nmse threshold for HTP of Q8_0 quants
* hex-fa: add support for Q8_0 with inplace dequantizers
* hex-get-rows: simplify type dispatch
* hex-rows: simplify GET/SET_ROWS DMA pipeline
* hex-async: add events, set/get-tensor-async and rest of the async api support
* hex-repack: use slice instead of expert in repack functions
* hex-cpy: update event/async-cpy logging
* hex-set-rows: optimize smaller tensors
* hex-geglu: fix perf regression with larger tensors
* hex-get-rows: add missing header
* hex-set-rows: add missing header
* hex-bufs: ressurect GGML_HEXAGON_HOSTBUF but disable it by default
* hexagon: do not reject ops with non-heaxon buffers
* hex-get-rows: apply >=32 restriction only for q8_0
* hex-res: bump vtcm acquire timeout to 10 seconds
* hex-bufs: add support for cloning buffers between sessions to speed up tensor copies
* hex-async: rework event recording and batch flushing and integrate with meta backend
* hex-bufs: improved handling of repacked tensors
* hex-repack: handle get_tensor_2d offsets
* hex-dev: add support for devices with multiple NPUs
* hex-sync: add support for sync tokens to synchronize npu devices for async splits
* hex-mmap: cleanup mmap calls and add a retry for robustness
* hex-sync: add failsafe if sync wait gets stuck
* hex-sync: use sync_seq to check for completed events
* hex-sync: rotate tokens for extra robustness
* hex-devs: add supprot for legacy device names for now
* hex-bufs: add support for auto-cloning buffers from diff sessions
* hex-fusion: simplify and optimize htp-opnode fusion handling
* hex-sync: override opnode name so that it shows up in the profiles
* hex-trace: update scripts to handle multiple devices
* hex-sync: bump the size of the opbatch queue and number of sync tokens
* hex-cpy-sync: do not explicitly flush opbatches in cpy_tensor_async and add support for cpy-dma
* hex-sync: add graph-flush threshold to avoid single op batches
* hex-sync: add sync_peer so that we can flush peers we depend on during cross-device ops
* hex-bufs: introduce tensor->extra and shadow_bufs for repacking
* hex-l2: flush tiny tensors inline
* hex-sync: use explicit l2flush for sync tokens
* hex-extra: track weight flags via tensor extra
* hex-fence: rename sync to fence
* hex-repack: proper handling of set-tensor-2d in the shadow_buf
* hex-trace: remove obsolete opstage mask that we used for profiling
* hex-env: remove obsolete use_hmx variable
* hexagon: new unified run.py and build.py and updated docs
* snapdragon: update run script to auto-escapt test-backend-op -p argument
* hex-scripts: fix trailing spaces
* hex-scripts: fix flake8 warnings
* snapdragon: cleanup dst lib/bin dirs before copying new build
* hex-ops: add support for allreduce
* hex-ar: improved allreduce with dma pipeline
* hex-ar: align macros
* hex-ar: consistent use of fence_seq
* hex-ar: add AR_SELECT env var to select ALLREDUCE kernel or fallback
* hex-ar: add proper synchronize handling for ALLREDUCE
* hex-opbatch: looks like we now just rely on backend.synchronise to flush the batches, no need to flush them by threshold
* hex-ar: bump block size to improve dma efficiency
* hex-ar: fused ALLREDUCE+ADD
* hex-ar: cleaner fence buffer management
* hex-ar: futher allreduce tweaking to remove race conditions
* hex-ar: add simple solver and remove non-dma kernels
* hex-ar: add row-broadcast to fuse with bias ADD
* hex-fence: pass seq numbers via op_params
* hex-ar: allow for both entry/exit seq for completing entry wait
* hex-ar: align macros
* hex-ar: do not refetch broadcast row
* hex-fusion: move all fusion into opbatch::add_op for consistency with ALLREDUCE and things
* hex-fusion: fix incorrect MUL_MAT reordering
* hex-mm: make fused 2x and 3x matmuls more generic
* hex-fusion: move tensor fusion tagging to graph_compute
* hexagon: make sure to copy tensor->extra by value
* hex-get-rows: fix offset calc with row-chunking
* hex-repack: get_tensor_2d fixes for non-zero offsets
* snapdragon: make profile/trace scripts more robust and donot mix stdout/stderr by default
* hex-devices: use legacy device nameing by default to ease the transition
* hex-devices: hardcode CDSP domain IDs for current devices for now
* hex-optrace: improve multi-NPU timestamp alignment and overall handling of cycle values
* hex-optrace: more robust handling of the fence events
* ui : open MCP servers in a dialog from the chat form
Replace the MCP servers submenu with a single "MCP Servers" item that opens
a new DialogMcpServers dialog instead of navigating to the /mcp-servers route.
Assisted-by: pi
* ui : browse MCP resources from the server card
Make the Resources capability badge clickable so it opens the MCP resources
browser dialog, and drop the page-only chrome from SettingsMcpServers.
Assisted-by: pi
* ui : remove mcp-servers route and sidebar entry
MCP servers are now managed in a dialog, so drop the dedicated route and the
sidebar icon that navigated to it.
Assisted-by: pi
* ui : remove unused MCP servers submenu component
The submenu was replaced by the MCP servers dialog, so delete the component
and its export.
Assisted-by: pi
* feat(ui): add DialogSettingsChat dialog
* refactor(ui): switch SettingsChat to in-app section navigation
* feat(ui): open settings as dialog from sidebar
* refactor(ui): remove settings route and URL-based settings navigation
* fix(ui): adjust MCP dialogs for new base sizing
* chore: Formatting & linting
* feat(ui): make base dialog responsive and support sticky headers
* ui: move dialog close button to the sticky header
Assisted-by: pi
* chore: Formatting & linting
* ci : inline UI version resolution into ui-build.yml
* ci : build UI once and reuse the artifact in release jobs
Server jobs now extract the ui-build artifact into tools/ui/dist instead of npm-building the UI. Also removes the get-version job and the no-op -DHF_UI_VERSION flags.
Assisted-by: pi:Kimi-K3
* ui : disable the npm UI build by default (LLAMA_BUILD_UI=OFF)
The flag now only controls building the UI from source via npm. The UI
is still embedded by default from local tools/ui/dist or the prebuilt
download (LLAMA_USE_PREBUILT_UI=ON). CI jobs no longer npm-build the
UI; server-sanitize does not need node anymore.
Assisted-by: pi:Kimi-K3
* ci : rename the ui-build artifact to llama-ui.zip
Consistent with the other artifact names in the Actions summary.
Assisted-by: pi:Kimi-K3
* ci : clarify the windows artifact merge in release.yml
The windows-cuda/vulkan/sycl jobs build only the backend library;
llama-server (with the embedded UI) is injected into their zips from
the windows-cpu package during the release. State this in the job
comments and use accurate wording in the merge step.
Assisted-by: pi:Kimi-K3
* cuda: unblock mmq for MoE on sm_60
* cuda: duplicate mmq-config-pascal for dp4a and older
* cuda: reduce occupancy on non-dp4a pascal for Q2_K, Q4_K, Q5_K, Q6_K
This commit contains a fix for the conversion of NVIDIA Nemotron 3.5
Lightning which currently incorrectly converts when using a transformers
version later than 5.5.1.
When converting using [convert](https://github.com/ggml-org/convert) the
transformers version is 5.13.1 and this produces the following:
```console
WARNING:gguf.gguf_writer:Duplicated key name 'nemotron_h_moe.attention.head_count_kv', overwriting it with new value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] of type ARRAY
```
This does not happen with transformers 5.5.1. The reason seems to be
that the configuration is different in later versions, for example when
using 5.13.1 the configuration block looks like this:
```console
transformers 5.13.1
raw has layers_block_type: True
autoconfig has layers_block_type: True
autoconfig layers_block_type: [
'linear_attention',
'moe',
'linear_attention',
'moe',
'linear_attention',
'full_attention',
'moe',
...
]
```
And with 5.5.1 we get:
```console
transformers 5.5.1
raw has layers_block_type: True
autoconfig has layers_block_type: True
autoconfig layers_block_type: [
'mamba',
'moe',
'mamba',
'moe',
'mamba',
'attention',
'moe'
...
]
```
In our conversion script we only match for attention, not full attention
which is causing this issue.
With the changes in this commit the output with transformers 5.13.1 will
be:
```console
(venv) $ gguf-dump models/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16.gguf | grep head_count_kv
INFO:gguf-dump:* Loading: models/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16.gguf
29: [INT32] | 52 | nemotron_h_moe.attention.head_count_kv = [0, 0, 0, 0, 0, 2, ...]
```
Resolves: https://github.com/ggml-org/llama.cpp/issues/27718
Refs: https://github.com/ggml-org/convert/actions/runs/32949047680/job/98116096069#step:5:2391
* metal: WIP chunked SSD SSM_SCAN kernels for multi-token prefill
* metal: drop scalar SSD path; MMA + sequential tail
* drop WIP ssm scan test noise
* remove state_from_dst and rename CS and NSG constants
* remove unrelated added whitespace padding
* added clarity to mma_tokens calculation
* added clarity to use_mma bool checks
* added comments to metal ssd op constants for clarity
* reserve K tokens for sequential kernel rollback snapshots
* reset concurrency between mma and seq tail
* remove print args no longer used
* fixed comment to no longer point to specific line
* add FC_SSM_SCAN so seq path skips token offlset unless it's mma tail
* added changes to new ssm.metal for rebase after ggml-metal.metal refactor
* specialize ssm_scan tail with a template instead of a function constant
---------
Co-authored-by: dpantaleoni <[email protected]>
Co-authored-by: forforever73 <[email protected]>
* rpc: support apple RDMA as an RPC transport
* remove set_tensor micro optimization, rpc socket pinning per CR
* remove transparent reconnect
* trigger apple builds on RPC changes
---------
Co-authored-by: Ryan Churaman <[email protected]>
* devops: use GGML_NATIVE=OFF for OpenVINO
Same as in other Dockerfiles.
Should fix#23100
* enable backend dl and cpu all variants
---------
Co-authored-by: Sigbjørn Skjæret <[email protected]>
* server: fix tool calls getting silently stripped with --prefill-assistant
Last assistant carries tool_calls + --prefill-assistant is on → request
flips into continuation mode, add_generation_prompt forced off, tail
rebuilt from reasoning_content + content only. Tool calls just vanish.
- Auto-continuation now skips trailing assistant msgs that have tool calls
- continue_final_message on those throws a clear error instead of
silently corrupting the prompt
- Regression tests included, red before / green after
Fixes#27588
Developed with AI assistance, disclosed per the contribution policy.
* server : address review: fail on prefill-assistant + trailing tool_calls
Move validation into oaicompat_chat_params_parse (next to the existing
two-or-more-assistant check) and remove it from common_chat_templates_apply,
which has no precedent for validation. Drop the regression tests.
Per review: --prefill-assistant with a trailing assistant message
containing tool calls is not supported and should fail loudly.
* add ccache-buckets action
* use ccache-buckets
* only save on master
* install python3-venv for hip
* add jq and python3 for cuda
* only delete caches older than 5 minutes
* metal : null-check ggml_metal_buffer_init result to avoid OOM crash
ggml_backend_metal_buffer_type_alloc_buffer used the result of
ggml_metal_buffer_init without checking for NULL. ggml_metal_buffer_init
returns NULL when the underlying Metal allocation fails (e.g. an
out-of-memory condition), and the following ggml_metal_buffer_is_shared(res)
call dereferences it, turning a recoverable allocation failure into a hard
crash (EXC_BAD_ACCESS). This is easy to hit on memory-constrained devices
such as iOS when a model/context exceeds the available Metal budget.
Log the failure using the existing GGML_LOG_ERROR convention and return
NULL so the allocator surfaces a diagnosable error up the stack instead of
crashing.
* cont : fix log
---------
Co-authored-by: Georgi Gerganov <[email protected]>
Aleksander Grygier
zqlandadmin
Max Krasnyansky
Xuan-Son Nguyen
Ruben Ortlam
Pranav Uttarkar
Radoslav Gerganov
David Friehs
Sigbjørn Skjæret
Daniel Bevenius
Jonathan Clohessy
Mario Limonciello
Ryan CandRyan Churaman
krzsztfandSigbjørn Skjæret
Kyozzz
Aldehir Rojas
Yuri KhrustalevandGeorgi Gerganov