The build info is now only for debug, so we avoid the duplicate
with `--version`.
The UTF-8 setup at the beginning is needed to avoid logging
garbage on Windows.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* fix: include API key in CORS proxy requests for MCP connections
When llama-server is started with --api-key-file and --webui-mcp-proxy,
the /cors-proxy endpoint requires authentication. The WebUI was not
including the Authorization header in proxy requests, causing MCP
connections to fail with 401.
Inject getAuthHeaders() into requestInit when useProxy is true so the
proxy request carries the Bearer token alongside the forwarded target
headers.
Fixes#21167
* fix: simplify headers assignment based on reviewer suggestion
Apply buildProxiedHeaders only when useProxy is true, pass headers
directly to the transport otherwise.
* introduce LLAMA_SERVER_NO_WEBUI
* LLAMA_SERVER_NO_WEBUI → LLAMA_BUILD_WEBUI
* LLAMA_BUILD_WEBUI ON by default not based on LLAMA_STANDALONE
* MIssed this
* Add useWebUi to package.nix
* server: respect the verbose_prompt parameter
* Revert "server: respect the verbose_prompt parameter"
This reverts commit 8ed885cf375b2c8ba641c661f3667df70b9797f4.
* Remove --verbose-prompt parameter from llama-server
* Using set_examples instead of set_excludes
* 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
* common : add standard Hugging Face cache support
- Use HF API to find all files
- Migrate all manifests to hugging face cache at startup
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Check with the quant tag
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Cleanup
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Improve error handling and report API errors
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Restore common_cached_model_info and align mmproj filtering
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Prefer main when getting cached ref
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Use cached files when HF API fails
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Use final_path..
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Check all inputs
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
---------
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* misc : prefer ggml-org models in docs and examples
Prefer referring to known-good quantizations under ggml-org rather than
3rd-party uploaders.
* remove accidentally committed file
* server: (doc) clarify in-scope and out-scope features
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Two bugs in `server_models::load()` that affect router mode reliability:
**Bug 1: Deadlock when child process crashes**
When a child process is killed (e.g., SIGKILL from OS code signature
validation), the monitoring thread deadlocks on `stopping_thread.join()`
because the stopping_thread's wait predicate (`is_stopping`) is never
satisfied — the model name was never inserted into `stopping_models`.
`update_status()` is never reached and the model stays stuck in LOADING
state permanently.
Fix: extend the stopping_thread's wait predicate to also wake when the
child process is no longer alive (`!subprocess_alive()`). When woken by
a dead child, the thread skips the shutdown sequence and returns
immediately. The original `stopping_models.erase()` logic is preserved
for normal unloads.
**Bug 2: TOCTOU race bypasses `--models-max` (ref #20137)**
`unload_lru()` is called outside the mutex, then `load()` acquires the
lock afterward. Under concurrent requests, multiple threads observe
capacity and all proceed to load, exceeding the limit.
Fix: re-check capacity under the lock after `unload_lru()` returns.
If another thread filled the slot in the window between `unload_lru()`
and the lock acquisition, reject with an error instead of silently
exceeding the limit.
* tests : fix fetch_server_test_models.py
* server: to_json_oaicompat cached_tokens
Adds OpenAI and Anthropic compatible information about the
number of cached prompt tokens used in a response.
* 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>
* add tests for model id parser
* add test case having activated params
* add structured tests for model id parser
* add ToDo
* feat: Improve model parsing logic + tests
* chore: update webui build output
---------
Co-authored-by: bluemoehre <bluemoehre@gmx.de>
