server : refactor (#5882)

* server : refactoring (wip)

* server : remove llava/clip objects from build

* server : fix empty prompt handling + all slots idle logic

* server : normalize id vars

* server : code style

* server : simplify model chat template validation

* server : code style

* server : minor

* llama : llama_chat_apply_template support null buf

* server : do not process embedding requests when disabled

* server : reorganize structs and enums + naming fixes

* server : merge oai.hpp in utils.hpp

* server : refactor system prompt update at start

* server : disable cached prompts with self-extend

* server : do not process more than n_batch tokens per iter

* server: tests: embeddings use a real embeddings model (#5908)

* server, tests : bump batch to fit 1 embedding prompt

* server: tests: embeddings fix build type Debug is randomly failing (#5911)

* server: tests: embeddings, use different KV Cache size

* server: tests: embeddings, fixed prompt do not exceed n_batch, increase embedding timeout, reduce number of concurrent embeddings

* server: tests: embeddings, no need to wait for server idle as it can timout

* server: refactor: clean up http code (#5912)

* server : avoid n_available var

ggml-ci

* server: refactor: better http codes

* server : simplify json parsing + add comment about t_last

* server : rename server structs

* server : allow to override FQDN in tests

ggml-ci

* server : add comments

---------

Co-authored-by: Pierrick Hymbert <pierrick.hymbert@gmail.com>

1 files changed, 5 insertions, 1 deletions

diff --git a/llama.cpp b/llama.cpp
index b27aa272..47809964 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -13541,18 +13541,22 @@ LLAMA_API int32_t llama_chat_apply_template(
             curr_tmpl = std::string(model_template.data(), model_template.size());
         }
     }
+
     // format the chat to string
     std::vector<const llama_chat_message *> chat_vec;
     chat_vec.resize(n_msg);
     for (size_t i = 0; i < n_msg; i++) {
         chat_vec[i] = &chat[i];
     }
+
     std::string formatted_chat;
     int32_t res = llama_chat_apply_template_internal(curr_tmpl, chat_vec, formatted_chat, add_ass);
     if (res < 0) {
         return res;
     }
-    strncpy(buf, formatted_chat.c_str(), length);
+    if (buf && length > 0) {
+        strncpy(buf, formatted_chat.c_str(), length);
+    }
     return res;
 }