As [1] explained, the real debug message will be like:
"res operator(): operator() : queue result stop"
Set the name explicitly, the message is easy for debugging:
"res operator(): recv : queue result stop"
The left "operator()" is generated by 'RES_DBG() ... __func__'
[1]: https://clang.llvm.org/extra/clang-tidy/checks/bugprone/lambda-function-name.html
Signed-off-by: Haiyue Wang <haiyuewa@163.com>
* server : add Anthropic Messages API support
* remove -@pytest.mark.slow from tool calling/jinja tests
* server : remove unused code and slow/skip on test_anthropic_vision_base64_with_multimodal_model in test_anthropic_api.py
* server : removed redundant n field logic in anthropic_params_from_json
* server : use single error object instead of error_array in streaming response handler for /v1/chat/completions and use unordered_set instead of set in to_json_anthropic_stream()
* server : refactor Anthropic API to use OAI conversion
* make sure basic test always go first
* clean up
* clean up api key check, add test
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This commit removes the `--backend-dist` option and instead uses the
configured --samplers chain to determine which samplers run on the
backend.
Backend sampling is still enabled using With `--backend_sampling`, and
the sampler chain, either explictly specified using `--samplers` or the
default, is automatically analyzed to determine which samplers can run
on the backend. The system finds the longest contiguous chain of
backend supported samplers from the start of the sampler sequence.
For example:
* If the chain is `top-k -> temperature -> top-p`, and both `top-k` and
`temperature` are backend-supported but `top-p` is not, then `top-k`
and `temperature` will run on the backend, while `top-p` and
subsequent samplers run on the CPU.
* If all configured samplers are supported, the final distribution
sampling will also happen on the backend, transferring only the
sampled token IDs back to the host.
* If the sampler chain starts with an unsupported sampler (e.g.,
`penalties`), all sampling runs on the CPU. Note that this is
currently the case with the default sampler so to use backend sampling
it is required to specify a sampler chain. See below for an example.
The following shows how llama-cli can be run with backend sampling:
```console
$ llama-cli -m models/Qwen2.5-VL-3B-Instruct-Q8_0.gguf \
--prompt 'What is the capital of Sweden?' \
-n 20 \
-no-cnv \
--verbose-prompt \
-ngl 40 \
--backend-sampling \
--samplers 'top_k;temperature'
```
In this case the all sampling will happen on the backend since both
`top_k` and `temperature` are supported backend samplers.
To enable a partial backend sampling (hybrid sampling), for example
running `top_k` and `temperature` on the backend and `typ_p` on the CPU
the following sampler chain could be specified:
```console
$ llama-cli -m models/Qwen2.5-VL-3B-Instruct-Q8_0.gguf \
--prompt 'What is the capital of Sweden?' \
-n 20 \
-no-cnv \
--verbose-prompt \
-ngl 40 \
--backend-sampling \
--samplers 'top_k;temperature;top_p'
```
If this looks good then I'll follow up with updates the llama-cli and
llama-server documentation to reflect these changes.
* 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
This commit refactors the model loading process in common/common.cpp
to enable backend sampler to be configure prior to the llama_context
creation.
The motivation for this change is that just being able to set/reset the
backend samplers after the llama_context has been created will cause a
resize to occur in llama_context::output_reserve which we want to avoid.
* server: split HTTP into its own interface
* move server-http and httplib to its own file
* add the remaining endpoints
* fix exception/error handling
* renaming
* missing header
* fix missing windows header
* fix error responses from http layer
* fix slot save/restore handler
* fix case where only one stream chunk is returned
* add NOMINMAX
* do not call sink.write on empty data
* use safe_json_to_str for SSE
* clean up
* add some comments
* improve usage of next()
* bring back the "server is listening on" message
* more generic handler
* add req.headers
* move the chat template print to init()
* add req.path
* cont : minor
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* 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
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
When compiling llama.cpp in Yocto, it fails QA checks because the generated so files aren't versioned. This applies a version to all generated so files, allowing the package to build without errors.
* feat(memory): Only fail partial erasure of recurrent tail
The recurrent state is always assumed to be the state as of the last update
from the final token in the sequence. When doing a partial erasure, if the
range does not include the final token, the erasure can be considered a
success since any memory used for the sequence prior to the final token
(which is no memory) has been successfully removed.
There is one potential case that this doesn't address which is the pruning
of cache to remove sensitive data from the context. This wouldn't work for
attention cache partial removal (in the middle) either since the KV state
is linearly-dependent and states in later sequence positions would still be
based on the state from the sensitive data, even if that data is no longer
cached, so I don't think this is relevant, but it is worth noting that the
semantics of this change for a partial erasure in the middle of the cache
are essentially "my context is already compressed" and not "all trace of
the removed tokens has been removed."
https://github.com/ggml-org/llama.cpp/issues/16768
Branch: HybridContextShift-16768
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(main): Check the output of seq_rm for prefix matching
This prefix matching is explicitly attempting to remove the tokens at the
end of the sequence that don't match. This is the operation that can't be
performed on a recurrent cache due to the state being updated in place, so
if this removal fails, we need to clear the whole cache.
https://github.com/ggml-org/llama.cpp/issues/16768
Branch: HybridContextShift-16768
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(memory): Fix condition for partial erasure failure if p0 > pos
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: compilade <git@compilade.net>
* style: Fix extra parens
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix(main.cpp): Set n_matching_session_tokens to 0 on cache clear
https://github.com/ggml-org/llama.cpp/issues/16768
Branch: HybridContextShift-16768
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
---------
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: compilade <git@compilade.net>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix: correct time_ms calculation in send_partial_response
The time_ms field was incorrectly calculated. The division was happening
before the subtraction leading to incorrect values.
Before: (ggml_time_us() - slot.t_start_process_prompt / 1000) After:
(ggml_time_us() - slot.t_start_process_prompt) / 1000
* docs : document time_ms field in prompt_progress
Georgi Gerganov
Haiyue Wang
Igor Smirnov
o7si
Fredrik Hultin
Xuan-Son Nguyen
Han Qingzhe
Daniel Bevenius
Pascal
Aleksander Grygier
Ankur Verma
Adrien Gallouët
Mike Abbott
Nicolas B. Pierron
Gabe Goodhart
chansikpark
Aidan