* vulkan: add GGML_OP_COL2IM_1D, follow-up to the CPU op
* vulkan: col2im_1d bounded gather loop instead of full-K scan with modulo
* vulkan: col2im_1d address review from @jeffbolznv
* vulkan: col2im_1d return nullptr for unsupported types, address review from @0cc4m
* chat: harden peg-native tool call parsing
accept an optional leading type: function field in
build_json_tools_flat_keys so openai style tool calls parse on
templates whose serialization opens on the name field.
return a clean error and log the unparsed fragment on a final peg
parse failure instead of throwing the raw parser position and input.
keep the raw arguments string in func_args_not_string when it is not
valid json instead of aborting the prompt render.
* chat: surface peg-native parse failures
a final peg parse failure threw the raw parser position and input. log
the unparsed fragment and raise a clearer error instead, so a model
output that does not match the expected format no longer fails silently
with an empty assistant turn.
minimal change, no behavior change on successful parses.
* chat: handle openai style tool calls in peg-native
* nits
* common: scope OpenAI wrapper grammar trigger via autoparser flag
* chat: gate type:function parsing leniency on the analysis flag
Thread accept_openai_wrapper from the generator to build_json_tools_flat_keys
so the leading "type": "function" field is accepted only when openai_wrapper_trigger is set.
* ui: add svg block visualizer based on allozaur's mermaid PR
* ui: rationalise diagram block styling and pre transforms shared by mermaid and svg
* ui: live render streaming svg blocks
* ui: also render svg authored in xml code fences
* ui: refactor svg block rendering, address review from allozaur
- Move the svg size ceiling and DOMPurify config out of sanitize-svg.ts into /constants.
- Rename the svg-diagram class to svg-block so the name no longer implies diagrams only.
- Replace the svg, xml and svg tag magic strings in the markdown pipeline with shared constants.
- Promote the data-svg-rendered marker and its sibling data attributes to constants.
* ui: render svg blocks in a shadow root for animation and live zoom
Mount each sanitized svg inside an open shadow root so author <style> and
keyframe or smil animations run while staying scoped to the host element.
Relax the sanitizer to forbid only foreignObject and script, which lets
animation, href and external resource refs through for wider compatibility.
Render the inline block and the zoom dialog from the same reactive source,
so a streaming svg keeps drawing live inside the open zoom popup.
* ui: make mobile layout keyboard-aware via interactive-widget and dvh shell anchor
* ui: fix duplicate PWA refresh popup by scoping the storage check to non-PWA pages
* ui: bake jpeg exif orientation into uploaded images
stb_image in mtmd ignores exif metadata, so rotated smartphone photos
reach the model with raw pixel orientation. The webui now reads the
exif orientation tag at send time and feeds it into the existing
capImageDataURLSize canvas pass: the browser applies the rotation when
decoding, so capped images come out upright for free, and images under
the cap threshold get a single plain redraw when orientation > 1.
At most one re-encode ever happens per image. Upright jpegs with
capping disabled pass through untouched, bit perfect.
Adds jpeg-orientation.ts with a minimal exif parser working on a
bounded base64 prefix (both endianness, returns 1 on any malformed
input) and unit tests against handcrafted jpeg byte streams.
* ui: move jpeg exif constants into lib/constants
* ui: add browser test for jpeg orientation and capping
Covers capImageDataURLSize end to end in chromium with real Pillow
generated jpeg fixtures across exif orientations 1/3/5/6/8: upright
quadrant colors checked pixel-wise, expected dimensions with and
without capping, no orientation tag left in the output, and strict
passthrough when nothing needs rewriting.
* ui: add opt-in run_javascript frontend tool
Expose a run_javascript tool to the model, executed entirely in the
browser through the existing agentic loop. Code runs in a Web Worker
inside a sandboxed iframe with an opaque origin, isolated from the
WebUI and its API. Console output, errors and the return value are
fed back as the tool result. The parent enforces a hard timeout by
removing the iframe, which terminates the worker.
Disabled by default, toggle in Settings > Developer.
* ui: address review feedback from allozaur
Use the JsonSchemaType enum for the tool definition parameter types
instead of raw string literals, extending it with STRING and NUMBER.
Move the worker shim and the iframe harness html into their own files
so the service no longer carries inline source blobs.
Replace the remaining magic strings with constants: SANDBOX_EMPTY_OUTPUT
and SANDBOX_TRUNCATION_NOTICE, and reuse NEWLINE_SEPARATOR for joins.
* ui: move sandbox worker shim to a raw imported file
Replace the inline worker template string with a real sandbox-worker.js
imported as raw text, and build the iframe harness from it in
sandbox-harness.ts. The raw worker ships as a string, not a module, so
it is excluded from eslint and the typecheck program.
* cpu: add GGML_OP_COL2IM_1D
Add the overlap-add (scatter-add) step of a 1D transposed convolution.
A ConvTranspose1d factorizes as a GEMM followed by col2im: a weight
pre-permuted to [IC, K*OC] is contracted against the [IC, T_in] input
with mul_mat to produce a column matrix [K*OC, T_in], and col2im_1d
scatters those columns back into the [T_out, OC] signal, with
T_out = (T_in - 1)*s0 + K - 2*p0.
Keeping the contraction as a plain mul_mat leaves the heavy work on the
optimized (and quantizable) matmul kernels, so col2im_1d only does the
cheap overlap-add.
CPU uses a gather formulation parallelized over output channels,
supporting F32, F16 and BF16 with an F32 accumulator.
* tests: add backend coverage for GGML_OP_COL2IM_1D
Add test_col2im_1d next to the conv_transpose_1d cases, covering F32,
F16 and BF16 across eight geometries: the canonical kernel = 2*stride
DAC upsampling shape, overlap, no overlap, cropping (p0 = 1 and
p0 = stride/2), kernel < stride with zeroed gaps, kernel not a
multiple of stride, and a single column unfold.
Perf mode gets three real vocoder stage shapes reporting memory
bandwidth. max_nmse_err relaxes to 5e-4 for F16 and BF16.
* cpu: harden GGML_OP_COL2IM_1D
ggml_col2im_1d validates s0, oc, p0 and input contiguity at graph
build time, before the oc division, protecting every backend at once.
The kernel asserts the contiguity its flat indexing assumes and its
doc states the full output length including the crop term.
The kernel parallelizes over the time axis: the split stays balanced
down to OC = 1, where the previous channel split was single threaded.
Values are bit identical on the three real vocoder chains, two out of
three improve.
* tests: extend the GGML_OP_COL2IM_1D grid
The eval grid grows to eleven geometries: OC = 1 (mono output stage),
K = 1 with stride > 1 (sparse scatter, every gap position zeroed) and
a crop down to T_out = 2 where all the gather bounds act at once.
* tests: add col2im_1d equivalence test
tests/test-col2im-1d.cpp proves mul_mat + col2im_1d matches the
native ggml_conv_transpose_1d on the CPU backend, F32 bit exact, F16
and BF16 through casts of the column matrix. test-backend-ops cannot
cover this for a CPU only op since the CPU backend is its own
reference there.
* rpc: bump protocol patch version for GGML_OP_COL2IM_1D
GGML_OP_COUNT goes from 96 to 97 with the new op, which trips the
static_assert in ggml-rpc.h. Bump RPC_PROTO_PATCH_VERSION since the
op is appended and no existing op code shifts.
A SWA-only draft head (e.g. StepFun MTP) leaves the base sub-cache
empty, so its kq_mask buffer stays null and asserts at load. Guard
each mask on its own buffer in set_input and can_reuse, base and swa.
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
A fitted target context can end up smaller than the draft default, the
oversized assistant views then overflow the shared K/V tensors and trip
the ggml_view_4d size assert during graph reserve.
* webui: fix tool selector toggle/counter, key tools by stable identity
Key the disabled set, counts and toggles by a stable per-tool key
instead of bare function name, deduped from one canonical list. Per-tool
checkboxes become presentational (single row handler, no nested button),
category checkboxes drop the tristate (n/total carries partial). One
getEnabledToolsForLLM keeps normalized MCP schemas and dedupes by name.
* ui: use SvelteSet and SvelteMap for local tool collections to satisfy svelte/prefer-svelte-reactivity
* server: real-time reasoning interruption via control endpoint
Builds on the manual reasoning budget trigger from #23949. Adds a
CONTROL task that mirrors the CANCEL path on the live slot and calls
common_sampler_reasoning_budget_force to end thinking mid-generation.
POST /v1/chat/completions/control with { id_slot, action }, opt-in
reasoning_control arms the budget sampler on demand. Router and single
model. Minimal WebUI button as a skeleton for further UI work.
* ui: track reasoning phase via explicit streaming state
Add isReasoning to the chat store, mirroring the isLoading pattern:
per conversation map, private setter, public accessor and reactive
export. Set from the stream callbacks, true on reasoning chunks, false
on the first content chunk, reset on stream end and resynced on
conversation switch. The skip button now keys off isReasoning so it
shows only during the thinking phase, not the whole generation.
* ui: extract control endpoint and action into constants
Move the chat completion routes, the slots route and the reasoning
control action out of chat.service into api-endpoints and a dedicated
control-actions module. No behavior change, drops the magic strings so
the control protocol has a single source of truth.
* server: target reasoning control by completion id
Address @ngxson review on the control endpoint.
Switch from id_slot to the chat completion id to avoid a TOCTOU: the
slot can be reassigned between the lookup and the control request, so
matching the live completion (oaicompat_cmpl_id) is safe and a finished
one simply matches nothing. Rename the action to reasoning_end, guard
it on the reasoning_control flag of the target slot, and reduce the
response to {success} with an optional message.
* ui: target reasoning control by completion id
Keep the streamed completion id on the message and post it back to the
control endpoint instead of probing /slots. Drops the slot discovery
and the TOCTOU that came with it. Action renamed to reasoning_end,
response read as {success}.
* server: address review from @ngxson
Move the control fields into task_params and drop the redundant
comments on the control path.
* server: document the reasoning control endpoint
* Update tools/ui/src/lib/types/database.d.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* ui: rename cmplId to completionId
Per @allozaur review, clearer name for the streamed completion id.
* ui: wire completion id capture through the agentic flow
The webui streams through the agentic flow, which relayed onModel but
not onCompletionId, so the completion id never reached the message and
the control request was never sent. Relay it through the flow and its
callbacks type, declare id on the chunk type, and log an explicit error
when the button fires without a usable id.
* ui: target reasoning control model from the message
The model is a property of the completion, so read it from the streaming
message like the id, not from the model dropdown which is unrelated UI
state. Makes the request self-consistent by construction instead of just
unlikely to drift.
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: add custom CSS injection via config
register a customCSS setting in the Developer section under Custom JSON,
syncable so it rides the existing ui-config pass through. inject the value
into a single style element in the head, reactive on the setting. lets an
operator theme a prebuilt binary through --ui-config without rebuilding,
and lets a user set it from the settings panel.
* ui: address review from @niutech and @allozaur, rename custom JSON key and CSS field
* ui: address review from @allozaur, move custom CSS injection to a style tag in svelte:head
* ui: inject custom CSS through a svelte action instead of a bound element
move the textContent write into a use: action on the head style node.
the action is the idiomatic way to touch a node, so the no-dom-manipulating
lint rule is satisfied without a disable. value stays text through
textContent, never parsed as HTML.
* Update tools/ui/src/lib/constants/settings-keys.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* ui: address review from @allozaur, rename custom config key to customJson with migration
rename the custom config key to customJson across the type, the chat
request builder, the settings save check and the custom tools reader,
keeping the custom API param name unchanged. add a non destructive
migration that copies the legacy custom key to customJson at startup.
only render the head style tag when custom CSS is set.
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
ffn_latent_down/up are declared GGML_OP_MUL in LLM_TENSOR_INFOS but
nemotron-h feeds them through ggml_mul_mat. The loader buft probe asks
the backend about the declared op, so it tested an elementwise MUL on a
q8_0 weight. That used to return true unconditionally and the weight
stayed on GPU by luck. Once supports_op told the truth, the probe got a
no and the loader pushed the weight and its matmul to CPU, splitting the
graph. Tagging it MUL_MAT asks the real question, the math is unchanged.
Verified on Nemotron 3 Super 120B Q5_K_M: from 64.9 back to 103.22 t/s.
* vulkan: fuse snake activation (mul, sin, sqr, mul, add)
Add snake.comp shader with F32 / F16 / BF16 pipelines and
ggml_vk_snake_dispatch_fused. The matcher recognizes the naive 5 op
decomposition emitted by audio decoders (BigVGAN, Vocos) for snake
activation y = x + sin(a*x)^2 * inv_b and rewrites it to a single
elementwise kernel.
test_snake_fuse from the CUDA PR now also compares CPU naive vs
Vulkan fused across F32 / F16 / BF16.
* vulkan: address jeffbolznv review for fused snake activation
Rename T / C to ne0 / ne1 in the shader and push constants to match
the standard naming convention used across the Vulkan backend.
Tighten ggml_vk_can_fuse_snake: require x and dst to be contiguous
(the shader uses idx = i0 + i1 * ne0) and require a / inv_b to be
tightly packed on the broadcast dim (the shader reads data_a[i1]).
* vulkan: tighten snake fusion type checks for all operands (address jeffbolznv review)
* vulkan: reject snake fusion when ne[2] or ne[3] > 1 (address jeffbolznv review)
* vulkan: address 0cc4m review for fused snake activation
snake.comp is renamed to follow the ggml DATA_A_* / A_TYPE convention.
A_TYPE now applies to the activation tensor data_a instead of the
broadcast multiplier, and the bindings become data_a (A_TYPE), data_b
(float), data_c (float) and data_d (D_TYPE). A header at the top of
the shader maps each buffer to its role in y = x + sin(b * x)^2 * c.
On the C++ side, ggml_vk_can_fuse_snake reuses the existing snake_pattern
constant instead of duplicating the op list, sin_node is extracted as a
named local alongside the other chain nodes, and the broadcast operands
a and inv_b are now required to be GGML_TYPE_F32 to match the hardcoded
float bindings on data_b and data_c (the previous a->type == x->type
would silently reject any future BF16 or F16 chain once the supports_op
gate for SIN / SQR is lifted). ggml_vk_snake_dispatch_fused gets an
explicit GGML_TYPE_F32 case and GGML_ABORT on default in place of the
silent f32 fallback, and a stale comment about data_a[i1] / data_inv_b[i1]
is refreshed to match the new binding names.
The MUL_MAT test loop iterates over base_types[] to generate non-contig
permutation cases (3 standard permutations across n in {1, 8, 16}).
BF16 is absent from base_types[], so these 9 cases were never generated
for BF16 even though every other type covered by base_types[] tests them.
Add the missing 9 cases explicitly: BF16 x F32, m=16, k=256, bs=[2,3],
permutations {0,2,1,3}, {0,1,3,2}, {0,3,2,1}, with n in {1, 8, 16}.
Suggested-by: @jeffbolznv
* server, webui: accept continue_final_message flag for vLLM API compat
Add the continue_final_message body flag from the vLLM and transformers
API. When set together with add_generation_prompt false, it triggers the
existing prefill_assistant code path, regardless of the server side
opt.prefill_assistant option. Mutual exclusion with add_generation_prompt
true is enforced, matching vLLM behavior.
WebUI sends continue_final_message and add_generation_prompt false on
the Continue button, with the matching opt in option on the chat service.
Pure API alignment, no change to the prefill logic itself. Paves the way
for the upcoming per-template prefill plumbing in common/chat.
* test: add coverage for continue_final_message vLLM compat flag
Two cases on top of the existing assistant prefill coverage. First,
continue_final_message true with add_generation_prompt false produces
the same rendered prompt as the prefill_assistant heuristic, proving
the new flag is a correct alias of the existing path. Second, both
flags set to true is rejected with HTTP 400, matching the
vLLM/transformers mutual exclusion contract.
* chore: update webui build output
* server, webui : support continue generation on reasoning models (#22727)
Remove the throw blocking assistant prefill on reasoning models and
orchestrate thinking tags around the prefilled message so the parser
routes the next stream chunks correctly. WebUI drops the reasoning
guard on the Continue button, sends reasoning_content with the
prefilled message and persists partial reasoning on stop so the CoT
survives reload and resume.
Scope : templates with a simple thinking_start_tag / thinking_end_tag
pair. Channel-based templates like GPT-OSS are out of scope, pending
a per-template prefill API in common/chat.
First step toward #21754.
* chore: update webui build output
* server: reject reasoning prefill on channel based templates
* cuda: tighten snake fusion type checks for all operands (defensive, sync vulkan)
* cuda: reject snake fusion when ne[2] or ne[3] > 1 (mirror vulkan PR review)
* cuda: merge type_ok and types_ok into a single types_ok (address am17an review)
* cuda: filter ADD/SUB/MUL/DIV in supports_op to F32/F16
bin_bcast only dispatches F32/F16 type triplets, mirror the
vulkan filter so unsupported types fall back through cpy
instead of aborting.
* test-backend-ops: extend snake_fuse to rank-4 with ne[2]/ne[3] > 1 cases
* cuda: fuse snake activation (mul, sin, sqr, mul, add)
Add ggml_cuda_op_snake_fused with F32 / F16 / BF16 templates. The
matcher recognizes the naive 5 op decomposition emitted by audio
decoders (BigVGAN, Vocos) for snake activation
y = x + sin(a*x)^2 * inv_b and rewrites it to a single elementwise
kernel.
Add test_snake_fuse comparing CPU naive vs CUDA fused across
F32 / F16 / BF16.
* cuda: address review feedback from @am17an
Use ggml_cuda_cast for F32/F16/BF16 conversions and rename
kernel_snake to snake_kernel to match upstream conventions.
* cuda: snake fusion fastdiv on T_len, Suggested-by: @am17an
* Update tests/test-backend-ops.cpp
Co-authored-by: Aman Gupta <amangupta052@gmail.com>
* cuda: snake fusion check add->type matches x->type
Address review feedback from @am17an
* cuda: snake fusion check add->type matches x->type
Moved for readability (equivalent)
Address review feedback from @am17an
---------
Co-authored-by: Aman Gupta <amangupta052@gmail.com>
* server: tests: fetch random media marker via /apply-template (#21962 fix)
* server: allow pinning media marker via LLAMA_MEDIA_MARKER env var
get_media_marker() checks LLAMA_MEDIA_MARKER at first call and uses it
as-is if set, falling back to the random marker otherwise.
Tests no longer need to fetch the marker dynamically via /apply-template:
the fixture sets LLAMA_MEDIA_MARKER=<__media__> so the hardcoded prompts
work as before.
Address review feedback from ngxson
* server: make get_media_marker() thread-safe via magic statics
Use a C++11 static local with a lambda initializer instead of a global
static with an empty-check. The runtime guarantees initialization exactly
once without explicit locking.
Address review feedback from ggerganov
* nits
* nits
* webui: send reasoning_content back to model in context
Preserve assistant reasoning across turns by extracting it from
internal tags and sending it as a separate reasoning_content field
in the API payload. The server and Jinja templates handle native
formatting (e.g. <think> tags for Qwen, GLM, DeepSeek...).
Adds "Exclude reasoning from context" toggle in Settings > Developer
(off by default, so reasoning is preserved). Includes unit tests.
* webui: add syncable parameter for excludeReasoningFromContext
* chore: update webui build output
* webui: make server the source of truth for sampling defaults
* webui: fix Custom badge for sampling parameters
* webui: log user overrides after server sync
* chore: update webui build output
* fix: Default values for sampling settings config object
* chore: update webui build output
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: fix model selector being locked to first loaded model
When multiple models are loaded, the auto-select effect would re-fire
on every loadedModelIds change, overriding the user's manual model
selection. Guard with selectedModelId so auto-select only kicks in
when no model is chosen yet.
* chore: update webui build output
* server : support multiple model aliases via comma-separated --alias
* server : update --alias description and regenerate docs
* server : multiple model aliases and tags
- address review feedback from ngxson
- --alias accepts comma-separated values (std::set, no duplicates)
- --tags for informational metadata (not used for routing)
- aliases resolve transparently in router via get_meta/has_model
- /v1/models exposes aliases and tags fields
* regenerate docs
* nits
* server : use first alias as model_name for backward compat
address review feedback from ngxson
* server : add single-model test for aliases and tags
* server: fix query params lost when proxying requests in multi-model router mode
* server: re-encode query params using httplib::encode_query_component in proxy
* webui: apply webui_settings on first load
The webui_settings from /props were not applied on initial load
when default_generation_settings.params was null
Now syncs whenever serverProps is available, regardless of params,
works for both single-model and router modes
* chore: update webui build output
* arg: fix order to use short form before long form
* arg: update doc
* arg: update test-arg-parser
* arg: address review feedback from ngxson
simplified to check first.length() <= last.length() only
fixed: --sampler-seq, --rerank, --draft ordering
note: middle positions in 3+ arg sets are not verified
* arg: update doc
* server/webui: add server-side WebUI config support
Add CLI arguments --webui-config (inline JSON) and --webui-config-file
(file path) to configure WebUI default settings from server side.
Backend changes:
- Parse JSON once in server_context::load_model() for performance
- Cache parsed config in webui_settings member (zero overhead on /props)
- Add proper error handling in router mode with try/catch
- Expose webui_settings in /props endpoint for both router and child modes
Frontend changes:
- Add 14 configurable WebUI settings via parameter sync
- Add tests for webui settings extraction
- Fix subpath support with base path in API calls
Addresses feedback from @ngxson and @ggerganov
* server: address review feedback from ngxson
* server: regenerate README with llama-gen-docs
* webui: add search field to model selector and fixes mobile viewport overflow
* webui: simplify model search style and code
* refacor: Search Input component & consistent UI for Models Selector search
* feat: Use Popover component + improve interactions
* fix: Fetching props for only loaded models in ROUTER mode
* webui: prevent models selector popover from overflowing viewport
Use Floating UI's auto-positioning with 50dvh height limit and proper
collision detection instead of forcing top positioning. Fixes overflow
on desktop and mobile keyboard issues
* webui: keep search field near trigger in models selector
Place search at the 'near end' (closest to trigger) by swapping layout
with CSS flexbox order based on popover direction. Prevents input from
moving during typing as list shrinks
* chore: update webui build output
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* llama-server: recursive GGUF loading
Replace flat directory scan with recursive traversal using
std::filesystem::recursive_directory_iterator. Support for
nested vendor/model layouts (e.g. vendor/model/*.gguf).
Model name now reflects the relative path within --models-dir
instead of just the filename. Aggregate files by parent
directory via std::map before constructing local_model
* server : router config POC (INI-based per-model settings)
* server: address review feedback from @aldehir and @ngxson
PEG parser usage improvements:
- Simplify parser instantiation (remove arena indirection)
- Optimize grammar usage (ws instead of zero_or_more, remove optional wrapping)
- Fix last line without newline bug (+ operator instead of <<)
- Remove redundant end position check
Feature scope:
- Remove auto-reload feature (will be separate PR per @ngxson)
- Keep config.ini auto-creation and template generation
- Preserve per-model customization logic
Co-authored-by: aldehir <aldehir@users.noreply.github.com>
Co-authored-by: ngxson <ngxson@users.noreply.github.com>
* server: adopt aldehir's line-oriented PEG parser
Complete rewrite of INI parser grammar and visitor:
- Use p.chars(), p.negate(), p.any() instead of p.until()
- Support end-of-line comments (key=value # comment)
- Handle EOF without trailing newline correctly
- Strict identifier validation ([a-zA-Z_][a-zA-Z0-9_.-]*)
- Simplified visitor (no pending state, no trim needed)
- Grammar handles whitespace natively via eol rule
Business validation preserved:
- Reject section names starting with LLAMA_ARG_*
- Accept only keys starting with LLAMA_ARG_*
- Require explicit section before key-value pairs
Co-authored-by: aldehir <aldehir@users.noreply.github.com>
* server: fix CLI/env duplication in child processes
Children now receive minimal CLI args (executable, model, port, alias)
instead of inheriting all router args. Global settings pass through
LLAMA_ARG_* environment variables only, eliminating duplicate config
warnings.
Fixes: Router args like -ngl, -fa were passed both via CLI and env,
causing 'will be overwritten' warnings on every child spawn
* add common/preset.cpp
* fix compile
* cont
* allow custom-path models
* add falsey check
* server: fix router model discovery and child process spawning
- Sanitize model names: replace / and \ with _ for display
- Recursive directory scan with relative path storage
- Convert relative paths to absolute when spawning children
- Filter router control args from child processes
- Refresh args after port assignment for correct port value
- Fallback preset lookup for compatibility
- Fix missing argv[0]: store server binary path before base_args parsing
* Revert "server: fix router model discovery and child process spawning"
This reverts commit e3832b42eeea7fcb108995966c7584479f745857.
* clarify about "no-" prefix
* correct render_args() to include binary path
* also remove arg LLAMA_ARG_MODELS_PRESET for child
* add co-author for ini parser code
Co-authored-by: aldehir <hello@alde.dev>
* also set LLAMA_ARG_HOST
* add CHILD_ADDR
* Remove dead code
---------
Co-authored-by: aldehir <aldehir@users.noreply.github.com>
Co-authored-by: ngxson <ngxson@users.noreply.github.com>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: aldehir <hello@alde.dev>
Add nosubs|optimize flags to std::regex constructors to prevent
catastrophic backtracking when processing prompts with repeated
identical characters (e.g., 'A' * 10000).
The nosubs flag disables subgroup capture, significantly reducing
memory usage and backtracking on uniform token sequences
* llama-server: add router multi-model tests (#17704)
Add 4 test cases for model router:
- test_router_unload_model: explicit model unloading
- test_router_models_max_evicts_lru: LRU eviction with --models-max
- test_router_no_models_autoload: --no-models-autoload flag behavior
- test_router_api_key_required: API key authentication
Tests use async model loading with polling and graceful skip when
insufficient models available for eviction testing.
utils.py changes:
- Add models_max, models_dir, no_models_autoload attributes to ServerProcess
- Handle JSONDecodeError for non-JSON error responses (fallback to text)
* llama-server: update test models to new HF repos
* add offline
* llama-server: fix router LRU eviction test and add preloading
Fix eviction test: load 2 models first, verify state, then load
3rd to trigger eviction. Previous logic loaded all 3 at once,
causing first model to be evicted before verification could occur.
Add module fixture to preload models via ServerPreset.load_all()
and mark test presets as offline to use cached models
* llama-server: fix split model download on Windows
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Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* webui: add rehype plugin to restore HTML in Markdown table cells
The remark/rehype pipeline neutralizes inline HTML as literal text
(remarkLiteralHtml) so that XML/HTML snippets in LLM responses display
as-is instead of being rendered. This causes <br> and <ul> markup in
table cells to show as plain text.
This plugin traverses the HAST post-conversion, parses whitelisted HTML
patterns (<br>, <ul><li>) from text nodes, and replaces them with actual
HAST element nodes. For lists, adjacent siblings must be combined first
as the AST fragmentation breaks pattern matching.
Strict validation rejects malformed markup, keeping it as raw text.
* chore: update webui build output
* webui: add OAI-Compat Harmony tool-call live streaming visualization and persistence in chat UI
- Purely visual and diagnostic change, no effect on model context, prompt
construction, or inference behavior
- Captured assistant tool call payloads during streaming and non-streaming
completions, and persisted them in chat state and storage for downstream use
- Exposed parsed tool call labels beneath the assistant's model info line
with graceful fallback when parsing fails
- Added tool call badges beneath assistant responses that expose JSON tooltips
and copy their payloads when clicked, matching the existing model badge styling
- Added a user-facing setting to toggle tool call visibility to the Developer
settings section directly under the model selector option
* webui: remove scroll listener causing unnecessary layout updates (model selector)
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* chore: npm run format & update webui build output
* chore: update webui build output
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Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: auto-refresh /props on inference start to resync model metadata
- Add no-cache headers to /props and /slots
- Throttle slot checks to 30s
- Prevent concurrent fetches with promise guard
- Trigger refresh from chat streaming for legacy and ModelSelector
- Show dynamic serverWarning when using cached data
* fix: restore proper legacy behavior in webui by using unified /props refresh
Updated assistant message bubbles to show each message's stored model when available,
falling back to the current server model only when the per-message value is missing
When the model selector is disabled, now fetches /props and prioritizes that model name
over chunk metadata, then persists it with the streamed message so legacy mode properly
reflects the backend configuration
* fix: detect first valid SSE chunk and refresh server props once
* fix: removed the slots availability throttle constant and state
* webui: purge ai-generated cruft
* chore: update webui static build
* webui: add HTML/JS preview support to MarkdownContent with sandboxed iframe dialog
Extended MarkdownContent to flag previewable code languages,
add a preview button alongside copy controls, manage preview
dialog state, and share styling for the new button group
Introduced CodePreviewDialog.svelte, a sandboxed iframe modal
for rendering HTML/JS previews with consistent dialog controls
* webui: fullscreen HTML preview dialog using bits-ui
* Update tools/server/webui/src/lib/components/app/misc/CodePreviewDialog.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/misc/MarkdownContent.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: pedantic style tweak for CodePreviewDialog close button
* webui: remove overengineered preview language logic
* chore: update webui static build
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Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: introduce OpenAI-compatible model selector in JSON payload
* webui: restore OpenAI-Compatible model source of truth and unify metadata capture
This change re-establishes a single, reliable source of truth for the active model:
fully aligned with the OpenAI-Compat API behavior
It introduces a unified metadata flow that captures the model field from both
streaming and non-streaming responses, wiring a new onModel callback through ChatService
The model name is now resolved directly from the API payload rather than relying on
server /props or UI assumptions
ChatStore records and persists the resolved model for each assistant message during
streaming, ensuring consistency across the UI and database
Type definitions for API and settings were also extended to include model metadata
and the onModel callback, completing the alignment with OpenAI-Compat semantics
* webui: address review feedback from allozaur
* webui: move model selector into ChatForm (idea by @allozaur)
* webui: make model selector more subtle and integrated into ChatForm
* webui: replaced the Flowbite selector with a native Svelte dropdown
* webui: add developer setting to toggle the chat model selector
* webui: address review feedback from allozaur
Normalized streamed model names during chat updates
by trimming input and removing directory components before saving
or persisting them, so the conversation UI shows only the filename
Forced model names within the chat form selector dropdown to render as
a single-line, truncated entry with a tooltip revealing the full name
* webui: toggle displayed model source for legacy vs OpenAI-Compat modes
When the selector is disabled, it falls back to the active server model name from /props
When the model selector is enabled, the displayed model comes from the message metadata
(the one explicitly selected and sent in the request)
* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/constants/localstorage-keys.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormModelSelector.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/services/chat.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/services/chat.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: refactor model selector and persistence helpers
- Replace inline portal and event listeners with proper Svelte bindings
- Introduce 'persisted' store helper for localStorage sync without runes
- Extract 'normalizeModelName' utils + Vitest coverage
- Simplify ChatFormModelSelector structure and cleanup logic
Replaced the persisted store helper's use of '$state/$effect' runes with
a plain TS implementation to prevent orphaned effect runtime errors
outside component context
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: document normalizeModelName usage with inline examples
* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormModelSelector.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/stores/models.svelte.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/stores/models.svelte.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: extract ModelOption type into dedicated models.d.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: refine ChatMessageAssistant displayedModel source logic
* webui: stabilize dropdown, simplify model extraction, and init assistant model field
* chore: update webui static build
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* chore: npm format, update webui static build
* webui: align sidebar trigger position, remove z-index glitch
* chore: update webui build output
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* fix: added a normalization step for MathJax-style \[\] and \(\) delimiters
So inline and block equations are converted before KaTeX rendering,
enabling proper display of model-generated LaTeX in the WebUI
* chore: update webui build output
* fix: add remark plugin to render raw HTML as literal text
Implemented a missing MDAST stage to neutralize raw HTML like major LLM WebUIs
do ensuring consistent and safe Markdown rendering
Introduced 'remarkLiteralHtml', a plugin that converts raw HTML nodes in the
Markdown AST into plain-text equivalents while preserving indentation and
line breaks. This ensures consistent rendering and prevents unintended HTML
execution, without altering valid Markdown structure
Kept 'remarkRehype' in the pipeline since it performs the required conversion
from MDAST to HAST for KaTeX, syntax highlighting, and HTML serialization
Refined the link-enhancement logic to skip unnecessary DOM rewrites,
fixing a subtle bug where extra paragraphs were injected after the first
line due to full innerHTML reconstruction, and ensuring links open in new
tabs only when required
Final pipeline: remarkGfm -> remarkMath -> remarkBreaks -> remarkLiteralHtml
-> remarkRehype -> rehypeKatex -> rehypeHighlight -> rehypeStringify
* fix: address review feedback from allozaur
* chore: update webui build output
* fix: make SSE client robust to premature [DONE] in agentic proxy chains
* webui: remove client-side context pre-check and rely on backend for limits
Removed the client-side context window pre-check and now simply sends messages
while keeping the dialog imports limited to core components, eliminating the
maximum context alert path
Simplified streaming and non-streaming chat error handling to surface a generic
'No response received from server' error whenever the backend returns no content
Removed the obsolete maxContextError plumbing from the chat store so state
management now focuses on the core message flow without special context-limit cases
* webui: cosmetic rename of error messages
* Update tools/server/webui/src/lib/stores/chat.svelte.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/stores/chat.svelte.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* chore: update webui build output
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* feat: render user content as markdown option
- Add a persisted 'renderUserContentAsMarkdown' preference to the settings defaults and info metadata so the choice survives reloads like other options
- Surface the new 'Render user content as Markdown' checkbox in the General section of the chat settings dialog, beneath the PDF toggle
- Render user chat messages with 'MarkdownContent' when the new setting is enabled, matching assistant formatting while preserving the existing card styling otherwise
- chore: update webui build output
* chore: update webui build output
* webui: updated the chat service to only include max_tokens in the request payload when the setting is explicitly provided, while still mapping explicit zero or null values to the infinite-token sentinel
* chore: update webui build output
* refactor: unify reasoning handling via backend reasoning_content, drop frontend tag parsing
- Updated the chat message component to surface backend-supplied reasoning via message.thinking while showing the raw assistant content without inline tag scrubbing
- Simplified chat streaming to append content chunks directly, stream reasoning into the message model, and persist any partial reasoning when generation stops
- Refactored the chat service SSE handler to rely on server-provided reasoning_content, removing legacy <think> parsing logic
- Refreshed Storybook data and streaming flows to populate the thinking field explicitly for static and streaming assistant messages
* refactor: implement streaming-aware universal reasoning parser
Remove the streaming mode limitation from --reasoning-format by refactoring
try_parse_reasoning() to handle incremental parsing of <think> tags across
all formats.
- Rework try_parse_reasoning() to track whitespace, partial tags, and
multiple reasoning segments, allowing proper separation of reasoning_content
and content in streaming mode
- Parse reasoning tags before tool call handling in content-only and Llama 3.x
formats to ensure inline <think> blocks are captured correctly
- Change default reasoning_format from 'auto' to 'deepseek' for consistent
behavior
- Add 'deepseek-legacy' option to preserve old inline behavior when needed
- Update CLI help and documentation to reflect streaming support
- Add parser tests for inline <think>...</think> segments
The parser now continues processing content after </think> closes instead of
stopping, enabling proper message.reasoning_content and message.content
separation in both streaming and non-streaming modes.
Fixes the issue where streaming responses would dump everything (including
post-thinking content) into reasoning_content while leaving content empty.
* refactor: address review feedback from allozaur
- Passed the assistant message content directly to ChatMessageAssistant to drop the redundant derived state in the chat message component
- Simplified chat streaming updates by removing unused partial-thinking handling and persisting partial responses straight from currentResponse
- Refreshed the ChatMessage stories to cover standard and reasoning scenarios without the old THINK-tag parsing examples
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* refactor: restore forced reasoning prefix to pass test-chat ([chat] All tests passed)
- store the exact sequence seen on input when 'thinking_forced_open' enforces a reasoning block
- inject this prefix before the first accumulated segment in 'reasoning_content', then clear it to avoid duplication
- repeat the capture on every new 'start_think' detection to properly handle partial/streaming flows
* refactor: address review feedback from ngxson
* debug: say goodbye to curl -N, hello one-click raw stream
- adds a new checkbox in the WebUI to display raw LLM output without backend parsing or frontend Markdown rendering
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: add Storybook example for raw LLM output and scope reasoning format toggle per story
- Added a Storybook example that showcases the chat message component in raw LLM output mode with the provided trace sample
- Updated every ChatMessage story to toggle the disableReasoningFormat setting so the raw-output rendering remains scoped to its own example
* npm run format
* chat-parser: address review feedback from ngxson
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
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Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
* feat: added a dedicated Magistral chat format that preserves [THINK] spans, parses reasoning before tool calls
* feat: new flow in the chat template test suite for Magistral
