* 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>
* vulkan: change graph_compute to be async and enable get_tensor_async
This allows some additional CPU/GPU overlap for large pp workloads. Also seems
to help a bit for token gen, maybe getting rid of a small bubble between
graph_compute and get_tensor.
Async set and copy functions seem to be very rarely used, so I didn't enable
them because I didn't have a good way to test them.
The async commands need to be ordered against each other, so put them all on
the compute queue. The non-async commands still use the transfer queue.
The fence for graph_compute/get_tensor_async is submitted and waited on in
ggml_vk_synchronize.
* fix thread safety errors
* teardown context cleanly
* Handle async read to non-pinned dst
* fix : Dangling pointer for non-empty trigger words in llama_sampler_init_grammar_impl (#17047)
* Replace 'static' workaround, with keeping variable in scope for longer
* Create std::array directly and pass into llama_grammar_init_impl
* Add back the trigger pattern
* Missed array include
* ggml-cpu: handle 3d tensors in repack mul_mat
* Removed unnecessary branch, removed need for <algorithm>
* Fixed dst_ptr pointer in chunk + clang_format
* GGML_ASSERT to check wdata within bounds
* Accidental ggml.h inclusion
* Improved GGML_ASSERT on wdata boundaries
* Address performance regression in Qwen and llama.cpp due to chunking
* vulkan: remove shell call from vulkan-shaders-gen tool
* use string vector for command execution
* Fix condition
* use string, remove const_cast
* Fix dependency file quotation on Windows
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Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
* update L2_NORM op support
* update L2_NORM op support
* remove extra whitespace
* cann: update cross_entropy_loss op support
* remove trailing whitespaces
* rebase the latest code in the main repository and remove the l2_norm operator that already exists in another pull request.
* undo the l2_norm operator deletion
* CUDA: add fused rope
* move k forward_expand up
* create helper function instead of re-using params
* make assert statement more in line with comment
* rope_norm: coalesced writes to global mem
* hexagon: explicitly check for ops with zero nrows
llm_graph_context::build_inp_out_ids() can generate tensors with zero nrows.
Somehow other backends seems to handle this without obvious explicit checks.
In the hexagon case we need to check explicitly and skip them.
* hexagon: introduce fastdiv, fix test-backend-ops for ADD/SUB/MUL
Co-authored-by: chraac <chraac@gmail.com>
* hexagon: use fastdiv in ADD_ID
* hexagon: use ggml_op_is_empty and ggml_is_empty to check for NOPs
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Co-authored-by: chraac <chraac@gmail.com>
