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server: init functional tests (#5566)
* server: tests: init scenarios - health and slots endpoints - completion endpoint - OAI compatible chat completion requests w/ and without streaming - completion multi users scenario - multi users scenario on OAI compatible endpoint with streaming - multi users with total number of tokens to predict exceeds the KV Cache size - server wrong usage scenario, like in Infinite loop of "context shift" #3969 - slots shifting - continuous batching - embeddings endpoint - multi users embedding endpoint: Segmentation fault #5655 - OpenAI-compatible embeddings API - tokenize endpoint - CORS and api key scenario * server: CI GitHub workflow --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -1410,11 +1410,6 @@ struct llama_server_context
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int n_processing_slots = 0;
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for (llama_client_slot &slot: slots) {
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if (slot.available()) {
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n_idle_slots++;
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} else {
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n_processing_slots++;
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}
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json slot_data = get_formated_generation(slot);
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slot_data["id"] = slot.id;
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slot_data["task_id"] = slot.task_id;
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@ -1429,6 +1424,11 @@ struct llama_server_context
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{"stopped_limit", slot.stopped_limit},
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{"stopping_word", slot.stopping_word},
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};
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if (slot_data["state"] == IDLE) {
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n_idle_slots++;
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} else {
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n_processing_slots++;
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}
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slots_data.push_back(slot_data);
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}
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LOG_TEE("task %i - slots data: idle=%i processing=%i\n", task.id, n_idle_slots, n_processing_slots);
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@ -2748,19 +2748,6 @@ int main(int argc, char **argv)
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log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded";
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}
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LOG_INFO("HTTP server listening", log_data);
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// run the HTTP server in a thread - see comment below
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std::thread t([&]()
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{
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if (!svr.listen_after_bind())
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{
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state.store(SERVER_STATE_ERROR);
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return 1;
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}
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return 0;
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});
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// load the model
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if (!llama.load_model(params))
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{
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@ -3228,6 +3215,19 @@ int main(int argc, char **argv)
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}*/
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//);
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LOG_INFO("HTTP server listening", log_data);
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// run the HTTP server in a thread - see comment below
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std::thread t([&]()
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{
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if (!svr.listen_after_bind())
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{
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state.store(SERVER_STATE_ERROR);
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return 1;
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}
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return 0;
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});
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llama.queue_tasks.on_new_task(std::bind(
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&llama_server_context::process_single_task, &llama, std::placeholders::_1));
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llama.queue_tasks.on_finish_multitask(std::bind(
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