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	 1ecea255eb
			
		
	
	1ecea255eb
	
	
	
		
			
			* server: health: fix race condition on slots data using tasks queue
* server: health:
    * include_slots only if slots_endpoint
    * fix compile warning task.target_id not initialized.
		
	
		
			
				
	
	
		
			551 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			551 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #pragma once
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| 
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| #include <string>
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| #include <vector>
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| #include <set>
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| #include <mutex>
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| #include <condition_variable>
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| #include <unordered_map>
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| 
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| #include "json.hpp"
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| 
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| #include "../llava/clip.h"
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| 
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| using json = nlohmann::json;
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| 
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| extern bool server_verbose;
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| 
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| #ifndef SERVER_VERBOSE
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| #define SERVER_VERBOSE 1
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| #endif
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| 
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| #if SERVER_VERBOSE != 1
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| #define LOG_VERBOSE(MSG, ...)
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| #else
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| #define LOG_VERBOSE(MSG, ...)                                            \
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|     do                                                                   \
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|     {                                                                    \
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|         if (server_verbose)                                              \
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|         {                                                                \
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|             server_log("VERBOSE", __func__, __LINE__, MSG, __VA_ARGS__); \
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|         }                                                                \
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|     } while (0)
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| #endif
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| 
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| #define LOG_ERROR(  MSG, ...) server_log("ERROR",   __func__, __LINE__, MSG, __VA_ARGS__)
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| #define LOG_WARNING(MSG, ...) server_log("WARNING", __func__, __LINE__, MSG, __VA_ARGS__)
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| #define LOG_INFO(   MSG, ...) server_log("INFO",    __func__, __LINE__, MSG, __VA_ARGS__)
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| 
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| //
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| // parallel
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| //
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| 
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| enum server_state {
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|     SERVER_STATE_LOADING_MODEL,  // Server is starting up, model not fully loaded yet
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|     SERVER_STATE_READY,          // Server is ready and model is loaded
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|     SERVER_STATE_ERROR           // An error occurred, load_model failed
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| };
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| 
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| enum task_type {
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|     TASK_TYPE_COMPLETION,
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|     TASK_TYPE_CANCEL,
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|     TASK_TYPE_NEXT_RESPONSE,
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|     TASK_TYPE_SLOTS_DATA
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| };
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| 
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| struct task_server {
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|     int id = -1; // to be filled by llama_server_queue
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|     int target_id;
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|     task_type type;
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|     json data;
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|     bool infill_mode = false;
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|     bool embedding_mode = false;
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|     int multitask_id = -1;
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| };
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| 
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| struct task_result {
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|     int id;
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|     int multitask_id = -1;
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|     bool stop;
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|     bool error;
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|     json result_json;
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| };
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| 
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| struct task_multi {
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|     int id;
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|     std::set<int> subtasks_remaining{};
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|     std::vector<task_result> results{};
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| };
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| 
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| // TODO: can become bool if we can't find use of more states
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| enum slot_state
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| {
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|     IDLE,
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|     PROCESSING,
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| };
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| 
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| enum slot_command
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| {
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|     NONE,
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|     LOAD_PROMPT,
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|     RELEASE,
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| };
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| 
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| struct slot_params
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| {
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|     bool stream       = true;
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|     bool cache_prompt = false; // remember the prompt to avoid reprocessing all prompt
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| 
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|     uint32_t seed      = -1; // RNG seed
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|     int32_t  n_keep    =  0; // number of tokens to keep from initial prompt
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|     int32_t  n_predict = -1; // new tokens to predict
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| 
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|     std::vector<std::string> antiprompt;
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| 
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|     json input_prefix;
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|     json input_suffix;
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| };
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| 
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| struct slot_image
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| {
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|     int32_t id;
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| 
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|     bool request_encode_image = false;
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|     float * image_embedding = nullptr;
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|     int32_t image_tokens = 0;
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| 
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|     clip_image_u8 * img_data;
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| 
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|     std::string prefix_prompt; // before of this image
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| };
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| 
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| // completion token output with probabilities
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| struct completion_token_output
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| {
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|     struct token_prob
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|     {
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|         llama_token tok;
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|         float prob;
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|     };
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| 
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|     std::vector<token_prob> probs;
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|     llama_token tok;
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|     std::string text_to_send;
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| };
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| 
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| static inline void server_log(const char *level, const char *function, int line,
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|                        const char *message, const nlohmann::ordered_json &extra)
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| {
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|     nlohmann::ordered_json log
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|     {
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|         {"timestamp", time(nullptr)},
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|         {"level",     level},
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|         {"function",  function},
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|         {"line",      line},
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|         {"message",   message},
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|     };
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| 
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|     if (!extra.empty())
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|     {
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|         log.merge_patch(extra);
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|     }
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| 
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|     const std::string str = log.dump(-1, ' ', false, json::error_handler_t::replace);
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|     printf("%.*s\n", (int)str.size(), str.data());
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|     fflush(stdout);
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| }
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| 
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| //
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| // server utils
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| //
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| 
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| template <typename T>
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| static T json_value(const json &body, const std::string &key, const T &default_value)
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| {
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|     // Fallback null to default value
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|     return body.contains(key) && !body.at(key).is_null()
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|         ? body.value(key, default_value)
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|         : default_value;
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| }
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| 
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| // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
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| inline bool verify_custom_template(const std::string & tmpl) {
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|     llama_chat_message chat[] = {{"user", "test"}};
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|     std::vector<char> buf(1);
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|     int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, buf.data(), buf.size());
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|     return res >= 0;
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| }
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| 
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| // Format given chat. If tmpl is empty, we take the template from model metadata
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| inline std::string format_chat(const struct llama_model * model, const std::string & tmpl, const std::vector<json> & messages)
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| {
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|     size_t alloc_size = 0;
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|     // vector holding all allocated string to be passed to llama_chat_apply_template
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|     std::vector<std::string> str(messages.size() * 2);
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|     std::vector<llama_chat_message> chat(messages.size());
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| 
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|     for (size_t i = 0; i < messages.size(); ++i) {
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|         auto &curr_msg = messages[i];
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|         str[i*2 + 0]    = json_value(curr_msg, "role",    std::string(""));
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|         str[i*2 + 1]    = json_value(curr_msg, "content", std::string(""));
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|         alloc_size     += str[i*2 + 1].length();
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|         chat[i].role    = str[i*2 + 0].c_str();
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|         chat[i].content = str[i*2 + 1].c_str();
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|     }
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| 
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|     const char * ptr_tmpl = tmpl.empty() ? nullptr : tmpl.c_str();
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|     std::vector<char> buf(alloc_size * 2);
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| 
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|     // run the first time to get the total output length
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|     int32_t res = llama_chat_apply_template(model, ptr_tmpl, chat.data(), chat.size(), true, buf.data(), buf.size());
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| 
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|     // if it turns out that our buffer is too small, we resize it
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|     if ((size_t) res > buf.size()) {
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|         buf.resize(res);
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|         res = llama_chat_apply_template(model, ptr_tmpl, chat.data(), chat.size(), true, buf.data(), buf.size());
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|     }
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| 
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|     std::string formatted_chat(buf.data(), res);
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|     LOG_VERBOSE("formatted_chat", {{"text", formatted_chat.c_str()}});
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| 
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|     return formatted_chat;
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| }
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| 
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| //
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| // work queue utils
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| //
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| 
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| struct llama_server_queue {
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|     int id = 0;
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|     std::mutex mutex_tasks;
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|     bool running;
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|     // queues
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|     std::vector<task_server> queue_tasks;
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|     std::vector<task_server> queue_tasks_deferred;
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|     std::vector<task_multi> queue_multitasks;
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|     std::condition_variable condition_tasks;
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|     // callback functions
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|     std::function<void(task_server&)> callback_new_task;
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|     std::function<void(task_multi&)> callback_finish_multitask;
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|     std::function<void(void)> callback_all_task_finished;
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| 
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|     // Add a new task to the end of the queue
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|     int post(task_server task) {
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|         std::unique_lock<std::mutex> lock(mutex_tasks);
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|         if (task.id == -1) {
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|             task.id = id++;
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|         }
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|         queue_tasks.push_back(std::move(task));
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|         condition_tasks.notify_one();
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|         return task.id;
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|     }
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| 
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|     // Add a new task, but defer until one slot is available
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|     void defer(task_server task) {
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|         std::unique_lock<std::mutex> lock(mutex_tasks);
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|         queue_tasks_deferred.push_back(std::move(task));
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|     }
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| 
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|     // Get the next id for creating anew task
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|     int get_new_id() {
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|         std::unique_lock<std::mutex> lock(mutex_tasks);
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|         return id++;
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|     }
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| 
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|     // Register function to process a new task
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|     void on_new_task(std::function<void(task_server&)> callback) {
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|         callback_new_task = callback;
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|     }
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| 
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|     // Register function to process a multitask
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|     void on_finish_multitask(std::function<void(task_multi&)> callback) {
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|         callback_finish_multitask = callback;
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|     }
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| 
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|     // Register the function to be called when the batch of tasks is finished
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|     void on_all_tasks_finished(std::function<void(void)> callback) {
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|         callback_all_task_finished = callback;
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|     }
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| 
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|     // Call when the state of one slot is changed
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|     void notify_slot_changed() {
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|         // move deferred tasks back to main loop
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|         std::unique_lock<std::mutex> lock(mutex_tasks);
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|         for (auto & task : queue_tasks_deferred) {
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|             queue_tasks.push_back(std::move(task));
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|         }
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|         queue_tasks_deferred.clear();
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|     }
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| 
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|     // end the start_loop routine
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|     void terminate() {
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|         {
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|             std::unique_lock<std::mutex> lock(mutex_tasks);
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|             running = false;
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|         }
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|         condition_tasks.notify_all();
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|     }
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| 
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|     // Start the main loop.
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|     void start_loop() {
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|         running = true;
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|         while (true) {
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|             // new task arrived
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|             LOG_VERBOSE("have new task", {});
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|             {
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|                 while (true)
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|                 {
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|                     std::unique_lock<std::mutex> lock(mutex_tasks);
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|                     if (queue_tasks.empty()) {
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|                         lock.unlock();
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|                         break;
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|                     }
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|                     task_server task = queue_tasks.front();
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|                     queue_tasks.erase(queue_tasks.begin());
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|                     lock.unlock();
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|                     LOG_VERBOSE("callback_new_task", {});
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|                     callback_new_task(task);
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|                 }
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|                 LOG_VERBOSE("callback_all_task_finished", {});
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|                 // process and update all the multitasks
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|                 auto queue_iterator = queue_multitasks.begin();
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|                 while (queue_iterator != queue_multitasks.end())
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|                 {
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|                     if (queue_iterator->subtasks_remaining.empty())
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|                     {
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|                         // all subtasks done == multitask is done
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|                         task_multi current_multitask = *queue_iterator;
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|                         callback_finish_multitask(current_multitask);
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|                         // remove this multitask
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|                         queue_iterator = queue_multitasks.erase(queue_iterator);
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|                     }
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|                     else
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|                     {
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|                         ++queue_iterator;
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|                     }
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|                 }
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|                 // all tasks in the current loop is finished
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|                 callback_all_task_finished();
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|             }
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|             LOG_VERBOSE("wait for new task", {});
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|             // wait for new task
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|             {
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|                 std::unique_lock<std::mutex> lock(mutex_tasks);
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|                 if (queue_tasks.empty()) {
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|                     if (!running) {
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|                         LOG_VERBOSE("ending start_loop", {});
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|                         return;
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|                     }
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|                     condition_tasks.wait(lock, [&]{
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|                         return (!queue_tasks.empty() || !running);
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|                     });
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|                 }
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|             }
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|         }
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|     }
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| 
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|     //
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|     // functions to manage multitasks
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|     //
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| 
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|     // add a multitask by specifying the id of all subtask (subtask is a task_server)
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|     void add_multitask(int multitask_id, std::vector<int>& sub_ids)
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|     {
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|         std::lock_guard<std::mutex> lock(mutex_tasks);
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|         task_multi multi;
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|         multi.id = multitask_id;
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|         std::copy(sub_ids.begin(), sub_ids.end(), std::inserter(multi.subtasks_remaining, multi.subtasks_remaining.end()));
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|         queue_multitasks.push_back(multi);
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|     }
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| 
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|     // updatethe remaining subtasks, while appending results to multitask
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|     void update_multitask(int multitask_id, int subtask_id, task_result& result)
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|     {
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|         std::lock_guard<std::mutex> lock(mutex_tasks);
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|         for (auto& multitask : queue_multitasks)
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|         {
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|             if (multitask.id == multitask_id)
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|             {
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|                 multitask.subtasks_remaining.erase(subtask_id);
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|                 multitask.results.push_back(result);
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|             }
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|         }
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|     }
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| };
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| 
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| struct llama_server_response {
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|     typedef std::function<void(int, int, task_result&)> callback_multitask_t;
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|     callback_multitask_t callback_update_multitask;
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|     // for keeping track of all tasks waiting for the result
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|     std::set<int> waiting_task_ids;
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|     // the main result queue
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|     std::vector<task_result> queue_results;
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|     std::mutex mutex_results;
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|     std::condition_variable condition_results;
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| 
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|     void add_waiting_task_id(int task_id) {
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|         std::unique_lock<std::mutex> lock(mutex_results);
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|         waiting_task_ids.insert(task_id);
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|     }
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| 
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|     void remove_waiting_task_id(int task_id) {
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|         std::unique_lock<std::mutex> lock(mutex_results);
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|         waiting_task_ids.erase(task_id);
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|     }
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| 
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|     // This function blocks the thread until there is a response for this task_id
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|     task_result recv(int task_id) {
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|         while (true)
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|         {
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|             std::unique_lock<std::mutex> lock(mutex_results);
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|             condition_results.wait(lock, [&]{
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|                 return !queue_results.empty();
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|             });
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|             LOG_VERBOSE("condition_results unblock", {});
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| 
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|             for (int i = 0; i < (int) queue_results.size(); i++)
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|             {
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|                 if (queue_results[i].id == task_id)
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|                 {
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|                     assert(queue_results[i].multitask_id == -1);
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|                     task_result res = queue_results[i];
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|                     queue_results.erase(queue_results.begin() + i);
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|                     return res;
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|                 }
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|             }
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|         }
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| 
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|         // should never reach here
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|     }
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| 
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|     // Register the function to update multitask
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|     void on_multitask_update(callback_multitask_t callback) {
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|         callback_update_multitask = callback;
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|     }
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| 
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|     // Send a new result to a waiting task_id
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|     void send(task_result result) {
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|         std::unique_lock<std::mutex> lock(mutex_results);
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|         LOG_VERBOSE("send new result", {});
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|         for (auto& task_id : waiting_task_ids) {
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|             // LOG_TEE("waiting task id %i \n", task_id);
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|             // for now, tasks that have associated parent multitasks just get erased once multitask picks up the result
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|             if (result.multitask_id == task_id)
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|             {
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|                 LOG_VERBOSE("callback_update_multitask", {});
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|                 callback_update_multitask(task_id, result.id, result);
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|                 continue;
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|             }
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| 
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|             if (result.id == task_id)
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|             {
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|                 LOG_VERBOSE("queue_results.push_back", {});
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|                 queue_results.push_back(result);
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|                 condition_results.notify_one();
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|                 return;
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|             }
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|         }
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|     }
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| };
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| 
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| //
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| // base64 utils (TODO: move to common in the future)
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| //
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| 
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| static const std::string base64_chars =
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|              "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
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|              "abcdefghijklmnopqrstuvwxyz"
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|              "0123456789+/";
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| 
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| static inline bool is_base64(uint8_t c)
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| {
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|     return (isalnum(c) || (c == '+') || (c == '/'));
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| }
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| 
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| static inline std::vector<uint8_t> base64_decode(const std::string & encoded_string)
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| {
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|     int i = 0;
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|     int j = 0;
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|     int in_ = 0;
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| 
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|     int in_len = encoded_string.size();
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| 
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|     uint8_t char_array_4[4];
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|     uint8_t char_array_3[3];
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| 
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|     std::vector<uint8_t> ret;
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| 
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|     while (in_len-- && (encoded_string[in_] != '=') && is_base64(encoded_string[in_]))
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|     {
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|         char_array_4[i++] = encoded_string[in_]; in_++;
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|         if (i == 4)
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|         {
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|             for (i = 0; i <4; i++)
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|             {
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|                 char_array_4[i] = base64_chars.find(char_array_4[i]);
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|             }
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| 
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|             char_array_3[0] = ((char_array_4[0]      ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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|             char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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|             char_array_3[2] = ((char_array_4[2] & 0x3) << 6) +   char_array_4[3];
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| 
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|             for (i = 0; (i < 3); i++)
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|             {
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|                 ret.push_back(char_array_3[i]);
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|             }
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|             i = 0;
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|         }
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|     }
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| 
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|     if (i)
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|     {
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|         for (j = i; j <4; j++)
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|         {
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|             char_array_4[j] = 0;
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|         }
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| 
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|         for (j = 0; j <4; j++)
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|         {
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|             char_array_4[j] = base64_chars.find(char_array_4[j]);
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|         }
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| 
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|         char_array_3[0] = ((char_array_4[0]      ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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|         char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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|         char_array_3[2] = ((char_array_4[2] & 0x3) << 6) +   char_array_4[3];
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| 
 | |
|         for (j = 0; (j < i - 1); j++)
 | |
|         {
 | |
|             ret.push_back(char_array_3[j]);
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     return ret;
 | |
| }
 | |
| 
 | |
| //
 | |
| // random string / id
 | |
| //
 | |
| 
 | |
| static std::string random_string()
 | |
| {
 | |
|     static const std::string str("0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz");
 | |
| 
 | |
|     std::random_device rd;
 | |
|     std::mt19937 generator(rd());
 | |
| 
 | |
|     std::string result(32, ' ');
 | |
| 
 | |
|     for (int i = 0; i < 32; ++i) {
 | |
|         result[i] = str[generator() % str.size()];
 | |
|     }
 | |
| 
 | |
|     return result;
 | |
| }
 | |
| 
 | |
| static std::string gen_chatcmplid()
 | |
| {
 | |
|     std::stringstream chatcmplid;
 | |
|     chatcmplid << "chatcmpl-" << random_string();
 | |
|     return chatcmplid.str();
 | |
| }
 |