The child writes its state commands on stdout while the logger writes
on stderr, and both share a single pipe. The logger emits the trailing
color reset after the newline of a debug, warn or error entry, so that
escape sequence has no newline of its own and the router reads it glued
in front of the next command. The line prefix check then fails and the
command is forwarded as a log line instead of being handled, which
leaves a finished download stuck in the downloading state.
Writing the command with a leading newline closes the pending line so
it always starts at a line boundary.
* server: refactor subproc handling
* fix Windows build
* download: keep concurrent downloads of one blob apart
Every process writes the same path + .downloadInProgress, so a second
download of the same blob finds that file, takes it for its own partial
transfer and asks for the bytes after it, which produces a corrupt
result. The in-progress file now carries the pid of the process writing
it.
std::rename also replaces an existing destination on POSIX but fails on
Windows, so a download whose blob appeared in the meantime is dropped
after every retry and an etag rewrite silently keeps the old value.
std::filesystem::rename has the POSIX behaviour everywhere, and the
error now carries the reason reported by the system.
* Revert "download: keep concurrent downloads of one blob apart"
This reverts commit 917b83f149c625527f872fb2cf41289358fa5371.
* tests: serialize the router tests that download the same model
Parallel workers share one cache, so the two tests fetch the same blob
into the same in-progress file and race to rename it. They now take a
file lock around the download, like the session fixture does for the
preset models.
* Revert "tests: serialize the router tests that download the same model"
This reverts commit c368a4a98c677938ca87002edb6186ff2c02fd83.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
The expected success table holds when the four requests enter the shared
pool together. On a loaded runner they are admitted tens of milliseconds
apart, the slot lifetimes overlap differently and the pool overflows
while a short request is still resident. The decode failure aborts every
slot, so a request the table marks as successful comes back with the
context error instead of its generation.
Such a request now passes on that error too, while any other status, a
different error or a truncated generation still fails the test.
* scripts : add initial profiling script (wip)
* src : add precompile headers (PCH) for models.h
* common : add common.h as PCH
* ggml : add PCH for ggml-impl.h
* mtmd : use PCH for models.h
* scripts : add script to build with Server/Tools/Tests
* server : add PCH for common.h
* docs: add profiling progress notes (wip)
* ggml : add exclude for GCC + SVE on ARM
Refs: https://github.com/ggml-org/llama.cpp/actions/runs/33393906061/job/99493756214?pr=28091
* ggml : attempt to fix use of std::hardware_destructive_inference_size
Refs: https://github.com/ggml-org/llama.cpp/actions/runs/33396221677/job/99501265689?pr=28091
* squash! ggml : attempt to fix use of std::hardware_destructive_inference_size
Add a version check for GCC 12 to conditionally apply the `-Winterference-size`
pragma.
* editorconfig : exclude profiling reports dir
This directory will not be included in the merge later and this commit
can be ignore at that point. Just fixing to keep CI happy.
* ggml : skip PCH for gcc on non-x86 architectures
* tests : add PCH for peg-parser/tests.h
There are 7 peg-parser tests that can share one PCH instead of then each
parsing the full tests.h.
* common : add PCH for chat.h
* docs : update linux build profiling full results
Just updating after a number of PCH additions. These are not exact
figures and will vary a bit from run to run, but they give a general idea
of the performance impact of PCH.
* cmake : introduce unity build for models
This commit introduces a unity build for the models to improve
compilation time.
The improvements were roughly the following:
```console
+------------------------+-----+------------+------------+------------+
| Build | TUs | Frontend | Backend | Total |
+------------------------+-----+------------+------------+------------+
| Full, master | 396 | 811.0 s | 692.2 s | 1,503.2 s |
| Full, with PCH | 405 | 380.0 s | 664.7 s | 1,044.7 s |
| Full, with PCH + UB | 264 | 357.7 s | 635.7 s | 993.4 s |
+------------------------+-----+------------+------------+------------+
TU = Translation Unit.
Full = includes Server, Tools, and Tests.
PCH = precompiled headers.
UB = unity build for models.
```
* docs : update linux profiling table with unitiy build results
* docs : update mac profiling results to include unity build [no ci]
* docs: remove profiling reports
* scripts : merge build profile scripts into one script
I was lazy before and just copied the first script to enable Tests,
Server, and Tools. This now merges them into a single script.
* Revert "editorconfig : exclude profiling reports dir" [no ci]
This reverts commit 2922a12118a0730d2f7632bcba265b44a0856c59.
* src : rename ggml_view_2d_slice to gemma3n_view_2d_slice
This is to be consistent with the rename in gemma4.cpp which was
required to avoid a name clash.
* cmake : add build profile script for windows [no ci]
This commit adds a port of the scripts/build-profile.sh script to
windows powershell.
This was developed on Windows on ARM but should work on X64 as well but
needs to be tested there as well.
* server: fix speculation after an image
Pass the actual position to the drafter after an image, instead of the
token count. Affects every drafter, not just DFlash.
* rename draft n_past to pos0
n_past is used to denote number of tokens and this parameter is meant to be a position
The spacing eviction in create_checkpoint() keeps the oldest checkpoint and
erases every later one within checkpoint_min_step of it. For prompts shorter
than checkpoint_min_step this drops the checkpoint at n_tokens - 4 that the
next request resumes from, so hybrid/recurrent models re-prefill from the
previous checkpoint instead. Apply the spacing rule only once the list is at
n_ctx_checkpoints, and replace an existing checkpoint at the same n_tokens
instead of appending a duplicate.
* server: fix LRU hang on multiple requests same model
* server: keep a queued model out of the victim pool until its waiters leave
A waiter that gave up while its model was still loading left the
model idle with no request behind it, and nothing recounted the free
slots, so a second request queued behind it stayed queued forever.
tick() was only driven by requests: join, claim and the end of a
proxied request.
Keep the queue entry alive after a successful claim so the model
coming up is never picked as a victim before its waiters use it, and
recount the slots on every status change and whenever a waiter
abandons the queue. The model is then evicted as soon as it comes up
with nobody left to serve.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* ui : update active conversation fields in place
updateCurrentNode, applyConversationUpdate, updateConversationTimestamp
and the pin toggle replaced the whole activeConversation object, so its
identity changed on every send, tool result and rename. ChatMessages
tracks that identity to refresh sibling info, so each replacement
triggered a full refetch of every message in the conversation. Write the
changed fields instead, mirroring updateMessageAtIndex.
Assisted-by: pi:zai-org/GLM-5.3
* ui : reuse the conversation load read for sibling info
Opening a conversation read every message from the database twice: once
in loadConversation for the active path, once in ChatMessages for the
sibling map. Hand the freshly read array over once so the chat screen
builds sibling info from it, and set the conversation and its messages
in one sync block so effects never see the new conversation paired with
the previous one's messages.
Assisted-by: pi:zai-org/GLM-5.3
* ui : memoize leaf walks in sibling map build
buildSiblingInfoMap resolves each sibling's leaf by walking the last-child
chain, once per sibling per message, so the walk repeats along the same
chains for every message in the conversation ( O(messages^2) on long
chats ). Memoize leaf resolution per build with path compression so each
edge is walked once.
Assisted-by: pi:zai-org/GLM-5.3
* ui : skip sibling refetch for in-place message edits
refreshAllMessages refetches every message of the conversation just to
rebuild sibling info, but preserve-responses and non-branching assistant
edits never create branches, so the sibling map stays valid. Refresh only
after actions that branch (editWithBranching kept) or delete.
Assisted-by: pi:zai-org/GLM-5.3
* ui : drop unused currentResponse reactive writes
Nothing reads chatStore.currentResponse, but setChatStreaming reassigned
it on every streamed chunk, so each token paid a reactive write and string
assignment for nothing. Remove the field and the clearUIState wrapper
that only reset it.
Assisted-by: pi:zai-org/GLM-5.3
* ui : reuse completed agentic turn sections during streaming
deriveAgenticSections runs in a $derived invalidated per streamed chunk,
but re-derived every turn of the session each time, so per-chunk cost grew
with session length. Cache completed turns keyed by their assistant message
plus reference checks on every field that feeds derivation; only the
streaming turn recomputes. Cache hits return the same section objects, so
tool block props stay stable and skip their per-chunk re-derive.
Assisted-by: pi:zai-org/GLM-5.3
* ui : share markdown block infrastructure
Every markdown block duplicated shared work: a full copy of the hljs
theme CSS per instance, and the remark/rehype plugin chain rebuilt on
every processMarkdown call ( once per block at mount, again per coalesced
chunk while streaming ). Use the single theme style element already
maintained by SyntaxHighlightedCode, and build pipelines once - shared
process-wide for attachment-less blocks, cached by attachments identity
otherwise.
Assisted-by: pi:zai-org/GLM-5.3
* ui : measure assistant layout only for the last message
Every assistant message ran getComputedStyle, getBoundingClientRect and
a ResizeObserver over the previous user bubble at mount, even off-screen
ones, forcing a layout pass per message while a long conversation
renders. The measured vars only feed the :last-child min-height rule, so
gate the effect on isLastAssistantMessage; one measurement and one
observer remain, and the effect re-runs when the last message changes.
Assisted-by: pi:zai-org/GLM-5.3
* ui : trim whole-blob scans in tool block headers
Tool block headers parsed their entire blobs at mount, even collapsed,
and most tool results and args are large plain text or embedded file
content: skip JSON.parse unless the blob starts with a JSON container,
prefilter search-result extraction with a Title:/URL: substring check,
and match the end-anchored exit-code marker against only the tail of exec
outputs.
Assisted-by: pi:zai-org/GLM-5.3
* ui : parse write_file and edit_file titles without the content blob
Both block headers parsed the full args JSON at mount, even collapsed, and
write_file and edit_file args embed the whole file content or edit
strings, so every block paid a full-blob JSON parse just to read the path.
Split the meta into a title tier that extracts the path with a targeted
key match (full parse only as fallback) and a body tier that keeps the
full parse; Svelte deriveds are lazy, and the body snippet renders only
while the block is expanded, so collapsed blocks no longer parse args.
Assisted-by: pi:zai-org/GLM-5.3
* ui : mount chat messages lazily near the viewport
Every message row mounted its full component tree on load, so the cycle
collector, GC and layout invalidation kept walking every live object and
DOM node even for rows the user never scrolls to - which dominated the
profile of long conversations. Wrap each row in a placeholder with an
IntersectionObserver ( two viewport heights of runway ) that swaps in the
real ChatMessage when the row approaches the viewport; the row shell
keeps the content-visibility sizing, and rows stay mounted once
realized. Rows targeted by the pending-edit flow mount eagerly.
Assisted-by: pi:zai-org/GLM-5.3
* ui : smooth the chat navigation animations
Slide the centered new-chat form to the bottom edge with a transform
instead of a bottom offset - layout-property transitions need the main
thread every frame and stutter while a long conversation loads, while
transform transitions run on the compositor. Fade the message list in
with a CSS animation keyed to the conversation id, disabled under
prefers-reduced-motion.
Assisted-by: pi:zai-org/GLM-5.3
* ui : follow the svelte runes guidance in chat message code
Two effects detected changes with manual previous-value refs and reset
flags. The permission request carries object identity, so its dismissal
is now a derived comparing the dismissed request; the continue request
is a bare boolean, so its dismissal only shrinks to a reset while no
request is pending. Also drop a dead if (browser) guard in the markdown
theme loader - effects never run on the server.
Assisted-by: pi:zai-org/GLM-5.3
* test : pin the chat perf invariants in the unit suite
Cover the fixes whose silent regression would be stale or wrong UI rather
than a crash: the turn-section cache must reuse unchanged turns yet
recompute on every field it compares; the sibling map must resolve the
same leaves after the leaf-walk memoization; the active conversation must
keep its identity through field updates; and the blob gates ( exec tail
window, plain-text result gate, search prefilter ) must keep accepting
what they gate. Only the risky invariants are pinned - no coverage for
coverage's sake.
Assisted-by: pi:zai-org/GLM-5.3
* refactor : address review remarks
Name the tool-arg string-field pattern, move the file tools' path field
aliases and the JSON container gates into lib/constants, and export the
write_file / edit_file meta types from $lib/types instead of the parser
modules.
Assisted-by: pi:zai-org/GLM-5.3
Remove the build-time C++ helper and external gzip dependency,
simplifying cross-compilation. Keep the generated C++ in templates for
readability and preserve fully embedded UI assets.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* ui : fix MCP image attachments not displayed in tool block (#25789)
Fixes regression from #25450 where ChatMessageAgenticContent passed
message.extra instead of section.toolResultExtras to tool blocks,
leaving tool images invisible. Also fixes TOOL_RESULT_JSON_OPEN_REGEX
which misclassified "[Attachment saved: ...]" as JSON.
Fixes#25789
Assisted-by: Muse Spark
* Addressed PR comments: 1.- Removed ·?? mesage?extra· as it has no case left to cover 2.- Added ·[\· to cover the case of ·[[1, 2], [3, 4]]· case suggested in the PR comment 3.- Added unit test for covering up this regex case
* ui : fix MCP image attachments not displayed in tool block (ggml-org#25789) - Addressed lint error on regex (redundant \)
* server : use pytest-xdist for server tests
This commit adds pytest-xdist to the server tests. This is pytest
plugin that distributes test execution across multiple CPU cores.
Assisted-by: pi:llama.cpp/qwen3.8-27B
Refs: https://github.com/ggml-org/llama.cpp/pull/26734#issuecomment-5220707042
* remove server_base_port and BASE_PORT
* use worksteal and pytest builting tmp_path
* mtmd : mark context as const in more methods
Mark `mtmd_context` as `const` in:
- mtmd_bitmap_init_lazy
- mtmd_tokenize
- mtmd_tokenize_from_parts
- mtmd_helper_support_video
- mtmd_helper_bitmap_init_from_file
- mtmd_helper_bitmap_init_from_buf
- mtmd_helper_video_init
- mtmd_helper_video_init_from_buf
- mtmd_helper_model_can_chat
The tokenization functions in particular are useful to have marked
`const`, as that allows more easily telling the compiler that we can
safely tokenize from multiple threads (`mtmd_tokenize` is already
documented as thread-safe, this just reifies that in the signature).
* mtmd : mark tokenization input pointer as const
Mark the `bitmaps` and `parts` pointers in `mtmd_tokenize` and
`mtmd_tokenize_from_parts` as `const`. This allows more easily calling
these with immutable arrays / vectors.
* mtmd : mark llama_context as const in mtmd_helper_model_can_chat
* server : accept data: URLs for input_video and input_audio
input_video and input_audio passed accept_base64_uri=false to
handle_media(), so data: URLs got treated as raw base64 strings and
failed later with a confusing media probe error (#27724).
pass true for these two content types the same way image_url already
does, and allow video/audio mime types in the data: url check instead
of image only. data URL validation now throws std::invalid_argument so
malformed input comes back as 400 instead of 500, matching the other
input validation in this file.
* server : simplify handle_media and drop unused accept_base64_uri flag
* server : update comment and add unit test for invalid data URI MIME
* common, server : enable preserve_reasoning kwarg by default, log its effective state
If the preserve_reasoning chat template kwarg is not specified explicitly
via --reasoning-preserve / --no-reasoning-preserve, it is enabled by
default after argument processing. The server logs the effective state of
the kwarg, warns that it is enabled by default when the template supports
it, and only warns "has no effect" when it was enabled explicitly on a
template that does not support it. Setting the kwarg via
--chat-template-kwargs is deprecated.
Assisted-by: pi:llama.cpp/Qwen3.8-27B
* cont : update comment
Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
---------
Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
* mtmd: load the qwen3-tts code predictor proj_in as optional
The talker and the code predictor share the hidden size on the 0.6B
checkpoints, so the reference builds no small_to_mtp_projection and
the conversion emits no tensor for it. The graph already falls back
to identity when the weight is missing, the loader now agrees.
* mtmd: keep the qwen3-tts code predictor ffn_down in F32
The code predictor carries a massive activation: its layer 2 FFN
intermediate peaks around 1.5e5, well past the 65504 ceiling of F16.
mul_mat casts its input to the weight type, so an F16 ffn_down turns
that peak into inf, the residual follows, and the next rms_norm yields
NaN. Reference forward in float32 gives 145109 against 145396 measured
in the graph.
* ui: copy the displayed text of grouped agentic responses
Agentic sessions render as a single entry anchored on the first
assistant turn, whose content is typically just the first tool call,
so the copy button wrote an empty string to the clipboard. Derive the
text sections of the whole session and copy them joined, matching the
visible response. Plain messages keep the previous behavior.
* const
* rpc: avoid serializing buffers from other servers
Only include remote buffer pointers when the buffer belongs to the RPC dispatcher receiving the graph. Add a two-server regression test for cross-server tensor serialization.
Assisted-by: Codex
* cont : add ref
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Rename the --tensor-read-lazy CLI argument to --lazy-mode, to match the
internal lazy_mode parameter, and add a -lzm shorthand. Sync the READMEs.
Assisted-by: pi:llama.cpp/Qwen3.8-27B