658 lines
21 KiB
C++
Vendored
658 lines
21 KiB
C++
Vendored
// MIT License
|
|
|
|
// Copyright (c) 2023 Georgi Gerganov
|
|
|
|
// Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
// of this software and associated documentation files (the "Software"), to deal
|
|
// in the Software without restriction, including without limitation the rights
|
|
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
// copies of the Software, and to permit persons to whom the Software is
|
|
// furnished to do so, subject to the following conditions:
|
|
|
|
// The above copyright notice and this permission notice shall be included in all
|
|
// copies or substantial portions of the Software.
|
|
|
|
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|
// SOFTWARE.
|
|
|
|
#pragma once
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
#include <set>
|
|
#include <mutex>
|
|
#include <condition_variable>
|
|
#include <unordered_map>
|
|
|
|
#include "json.hpp"
|
|
|
|
#include "../llava/clip.h"
|
|
|
|
using json = nlohmann::json;
|
|
|
|
extern bool server_verbose;
|
|
extern bool server_log_json;
|
|
|
|
#ifndef SERVER_VERBOSE
|
|
#define SERVER_VERBOSE 1
|
|
#endif
|
|
|
|
#if SERVER_VERBOSE != 1
|
|
#define LOG_VERBOSE(MSG, ...)
|
|
#else
|
|
#define LOG_VERBOSE(MSG, ...) \
|
|
do \
|
|
{ \
|
|
if (server_verbose) \
|
|
{ \
|
|
server_log("VERB", __func__, __LINE__, MSG, __VA_ARGS__); \
|
|
} \
|
|
} while (0)
|
|
#endif
|
|
|
|
#define LOG_ERROR( MSG, ...) server_log("ERROR", __func__, __LINE__, MSG, __VA_ARGS__)
|
|
#define LOG_WARNING(MSG, ...) server_log("WARN", __func__, __LINE__, MSG, __VA_ARGS__)
|
|
#define LOG_INFO( MSG, ...) server_log("INFO", __func__, __LINE__, MSG, __VA_ARGS__)
|
|
#define LOG_DEBUG( MSG, ...) server_log("DEBUG", __func__, __LINE__, MSG, __VA_ARGS__)
|
|
|
|
enum server_state {
|
|
SERVER_STATE_LOADING_MODEL, // Server is starting up, model not fully loaded yet
|
|
SERVER_STATE_READY, // Server is ready and model is loaded
|
|
SERVER_STATE_ERROR // An error occurred, load_model failed
|
|
};
|
|
|
|
enum task_type {
|
|
TASK_TYPE_COMPLETION,
|
|
TASK_TYPE_CANCEL,
|
|
TASK_TYPE_NEXT_RESPONSE,
|
|
TASK_TYPE_METRICS
|
|
};
|
|
|
|
struct task_server {
|
|
int id = -1; // to be filled by llama_server_queue
|
|
int target_id;
|
|
task_type type;
|
|
json data;
|
|
bool infill_mode = false;
|
|
bool embedding_mode = false;
|
|
int multitask_id = -1;
|
|
};
|
|
|
|
struct task_result {
|
|
int id;
|
|
int multitask_id = -1;
|
|
bool stop;
|
|
bool error;
|
|
json result_json;
|
|
};
|
|
|
|
struct task_multi {
|
|
int id;
|
|
std::set<int> subtasks_remaining{};
|
|
std::vector<task_result> results{};
|
|
};
|
|
|
|
// completion token output with probabilities
|
|
struct completion_token_output {
|
|
struct token_prob
|
|
{
|
|
llama_token tok;
|
|
float prob;
|
|
};
|
|
|
|
std::vector<token_prob> probs;
|
|
llama_token tok;
|
|
std::string text_to_send;
|
|
};
|
|
|
|
struct token_translator {
|
|
llama_context * ctx;
|
|
std::string operator()(llama_token tok) const { return llama_token_to_piece(ctx, tok); }
|
|
std::string operator()(const completion_token_output &cto) const { return (*this)(cto.tok); }
|
|
};
|
|
|
|
static inline void server_log(const char *level, const char *function, int line, const char *message, const nlohmann::ordered_json &extra) {
|
|
std::stringstream ss_tid;
|
|
ss_tid << std::this_thread::get_id();
|
|
json log = nlohmann::ordered_json{
|
|
{"tid", ss_tid.str()},
|
|
{"timestamp", time(nullptr)},
|
|
};
|
|
|
|
if (strncmp("DEBUG", level, strlen(level)) == 0 && !server_verbose) {
|
|
return;
|
|
}
|
|
|
|
if (server_log_json) {
|
|
log.merge_patch(
|
|
{
|
|
{"level", level},
|
|
{"function", function},
|
|
{"line", line},
|
|
{"msg", message},
|
|
});
|
|
if (!extra.empty()) {
|
|
log.merge_patch(extra);
|
|
}
|
|
|
|
std::cout << log.dump(-1, ' ', false, json::error_handler_t::replace) << "\n" << std::flush;
|
|
} else {
|
|
if (!extra.empty()) {
|
|
log.merge_patch(extra);
|
|
}
|
|
|
|
std::stringstream ss;
|
|
ss << level << " [" << function << "] " << message << " |";
|
|
for (const auto& el : log.items())
|
|
{
|
|
const std::string value = el.value().dump(-1, ' ', false, json::error_handler_t::replace);
|
|
ss << " " << el.key() << "=" << value;
|
|
}
|
|
|
|
const std::string str = ss.str();
|
|
printf("%.*s\n", (int)str.size(), str.data());
|
|
fflush(stdout);
|
|
}
|
|
}
|
|
|
|
//
|
|
// server utils
|
|
//
|
|
|
|
template <typename T>
|
|
static T json_value(const json &body, const std::string &key, const T &default_value) {
|
|
// Fallback null to default value
|
|
return body.contains(key) && !body.at(key).is_null()
|
|
? body.value(key, default_value)
|
|
: default_value;
|
|
}
|
|
|
|
// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
|
|
inline bool verify_custom_template(const std::string & tmpl) {
|
|
llama_chat_message chat[] = {{"user", "test"}};
|
|
std::vector<char> buf(1);
|
|
int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, buf.data(), buf.size());
|
|
return res >= 0;
|
|
}
|
|
|
|
// Format given chat. If tmpl is empty, we take the template from model metadata
|
|
inline std::string format_chat(const struct llama_model * model, const std::string & tmpl, const std::vector<json> & messages) {
|
|
size_t alloc_size = 0;
|
|
// vector holding all allocated string to be passed to llama_chat_apply_template
|
|
std::vector<std::string> str(messages.size() * 2);
|
|
std::vector<llama_chat_message> chat(messages.size());
|
|
|
|
for (size_t i = 0; i < messages.size(); ++i) {
|
|
auto &curr_msg = messages[i];
|
|
str[i*2 + 0] = json_value(curr_msg, "role", std::string(""));
|
|
str[i*2 + 1] = json_value(curr_msg, "content", std::string(""));
|
|
alloc_size += str[i*2 + 1].length();
|
|
chat[i].role = str[i*2 + 0].c_str();
|
|
chat[i].content = str[i*2 + 1].c_str();
|
|
}
|
|
|
|
const char * ptr_tmpl = tmpl.empty() ? nullptr : tmpl.c_str();
|
|
std::vector<char> buf(alloc_size * 2);
|
|
|
|
// run the first time to get the total output length
|
|
int32_t res = llama_chat_apply_template(model, ptr_tmpl, chat.data(), chat.size(), true, buf.data(), buf.size());
|
|
|
|
// if it turns out that our buffer is too small, we resize it
|
|
if ((size_t) res > buf.size()) {
|
|
buf.resize(res);
|
|
res = llama_chat_apply_template(model, ptr_tmpl, chat.data(), chat.size(), true, buf.data(), buf.size());
|
|
}
|
|
|
|
std::string formatted_chat(buf.data(), res);
|
|
LOG_VERBOSE("formatted_chat", {{"text", formatted_chat.c_str()}});
|
|
|
|
return formatted_chat;
|
|
}
|
|
|
|
//
|
|
// work queue utils
|
|
//
|
|
|
|
struct llama_server_queue {
|
|
int id = 0;
|
|
std::mutex mutex_tasks;
|
|
bool running;
|
|
// queues
|
|
std::vector<task_server> queue_tasks;
|
|
std::vector<task_server> queue_tasks_deferred;
|
|
std::vector<task_multi> queue_multitasks;
|
|
std::condition_variable condition_tasks;
|
|
// callback functions
|
|
std::function<void(task_server&)> callback_new_task;
|
|
std::function<void(task_multi&)> callback_finish_multitask;
|
|
std::function<void(void)> callback_run_slots;
|
|
|
|
// Add a new task to the end of the queue
|
|
int post(task_server task) {
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
if (task.id == -1) {
|
|
task.id = id++;
|
|
LOG_VERBOSE("new task id", {{"new_id", task.id}});
|
|
}
|
|
queue_tasks.push_back(std::move(task));
|
|
condition_tasks.notify_one();
|
|
return task.id;
|
|
}
|
|
|
|
// Add a new task, but defer until one slot is available
|
|
void defer(task_server task) {
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
queue_tasks_deferred.push_back(std::move(task));
|
|
}
|
|
|
|
// Get the next id for creating anew task
|
|
int get_new_id() {
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
int new_id = id++;
|
|
LOG_VERBOSE("new task id", {{"new_id", new_id}});
|
|
return new_id;
|
|
}
|
|
|
|
// Register function to process a new task
|
|
void on_new_task(std::function<void(task_server&)> callback) {
|
|
callback_new_task = callback;
|
|
}
|
|
|
|
// Register function to process a multitask when it is finished
|
|
void on_finish_multitask(std::function<void(task_multi&)> callback) {
|
|
callback_finish_multitask = callback;
|
|
}
|
|
|
|
// Register the function to be called when all slots data is ready to be processed
|
|
void on_run_slots(std::function<void(void)> callback) {
|
|
callback_run_slots = callback;
|
|
}
|
|
|
|
// Call when the state of one slot is changed
|
|
void notify_slot_changed() {
|
|
// move deferred tasks back to main loop
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
for (auto & task : queue_tasks_deferred) {
|
|
queue_tasks.push_back(std::move(task));
|
|
}
|
|
queue_tasks_deferred.clear();
|
|
}
|
|
|
|
// end the start_loop routine
|
|
void terminate() {
|
|
{
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
running = false;
|
|
}
|
|
condition_tasks.notify_all();
|
|
}
|
|
|
|
/**
|
|
* Main loop consists of these steps:
|
|
* - Wait until a new task arrives
|
|
* - Process the task (i.e. maybe copy data into slot)
|
|
* - Check if multitask is finished
|
|
* - Run all slots
|
|
*/
|
|
void start_loop() {
|
|
running = true;
|
|
while (true) {
|
|
LOG_VERBOSE("new task may arrive", {});
|
|
{
|
|
while (true)
|
|
{
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
if (queue_tasks.empty()) {
|
|
lock.unlock();
|
|
break;
|
|
}
|
|
task_server task = queue_tasks.front();
|
|
queue_tasks.erase(queue_tasks.begin());
|
|
lock.unlock();
|
|
LOG_VERBOSE("callback_new_task", {{"task_id", task.id}});
|
|
callback_new_task(task);
|
|
}
|
|
LOG_VERBOSE("update_multitasks", {});
|
|
// check if we have any finished multitasks
|
|
auto queue_iterator = queue_multitasks.begin();
|
|
while (queue_iterator != queue_multitasks.end())
|
|
{
|
|
if (queue_iterator->subtasks_remaining.empty())
|
|
{
|
|
// all subtasks done == multitask is done
|
|
task_multi current_multitask = *queue_iterator;
|
|
callback_finish_multitask(current_multitask);
|
|
// remove this multitask
|
|
queue_iterator = queue_multitasks.erase(queue_iterator);
|
|
}
|
|
else
|
|
{
|
|
++queue_iterator;
|
|
}
|
|
}
|
|
// all tasks in the current loop is processed, slots data is now ready
|
|
LOG_VERBOSE("callback_run_slots", {});
|
|
callback_run_slots();
|
|
}
|
|
LOG_VERBOSE("wait for new task", {});
|
|
// wait for new task
|
|
{
|
|
std::unique_lock<std::mutex> lock(mutex_tasks);
|
|
if (queue_tasks.empty()) {
|
|
if (!running) {
|
|
LOG_VERBOSE("ending start_loop", {});
|
|
return;
|
|
}
|
|
condition_tasks.wait(lock, [&]{
|
|
return (!queue_tasks.empty() || !running);
|
|
});
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
//
|
|
// functions to manage multitasks
|
|
//
|
|
|
|
// add a multitask by specifying the id of all subtask (subtask is a task_server)
|
|
void add_multitask(int multitask_id, std::vector<int>& sub_ids)
|
|
{
|
|
std::lock_guard<std::mutex> lock(mutex_tasks);
|
|
task_multi multi;
|
|
multi.id = multitask_id;
|
|
std::copy(sub_ids.begin(), sub_ids.end(), std::inserter(multi.subtasks_remaining, multi.subtasks_remaining.end()));
|
|
queue_multitasks.push_back(multi);
|
|
}
|
|
|
|
// updatethe remaining subtasks, while appending results to multitask
|
|
void update_multitask(int multitask_id, int subtask_id, task_result& result)
|
|
{
|
|
std::lock_guard<std::mutex> lock(mutex_tasks);
|
|
for (auto& multitask : queue_multitasks)
|
|
{
|
|
if (multitask.id == multitask_id)
|
|
{
|
|
multitask.subtasks_remaining.erase(subtask_id);
|
|
multitask.results.push_back(result);
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
struct llama_server_response {
|
|
typedef std::function<void(int, int, task_result&)> callback_multitask_t;
|
|
callback_multitask_t callback_update_multitask;
|
|
// for keeping track of all tasks waiting for the result
|
|
std::set<int> waiting_task_ids;
|
|
// the main result queue
|
|
std::vector<task_result> queue_results;
|
|
std::mutex mutex_results;
|
|
std::condition_variable condition_results;
|
|
|
|
// add the task_id to the list of tasks waiting for response
|
|
void add_waiting_task_id(int task_id) {
|
|
LOG_VERBOSE("waiting for task id", {{"task_id", task_id}});
|
|
std::unique_lock<std::mutex> lock(mutex_results);
|
|
waiting_task_ids.insert(task_id);
|
|
}
|
|
|
|
// when the request is finished, we can remove task associated with it
|
|
void remove_waiting_task_id(int task_id) {
|
|
LOG_VERBOSE("remove waiting for task id", {{"task_id", task_id}});
|
|
std::unique_lock<std::mutex> lock(mutex_results);
|
|
waiting_task_ids.erase(task_id);
|
|
}
|
|
|
|
// This function blocks the thread until there is a response for this task_id
|
|
task_result recv(int task_id) {
|
|
while (true)
|
|
{
|
|
std::unique_lock<std::mutex> lock(mutex_results);
|
|
condition_results.wait(lock, [&]{
|
|
return !queue_results.empty();
|
|
});
|
|
|
|
for (int i = 0; i < (int) queue_results.size(); i++)
|
|
{
|
|
if (queue_results[i].id == task_id)
|
|
{
|
|
assert(queue_results[i].multitask_id == -1);
|
|
task_result res = queue_results[i];
|
|
queue_results.erase(queue_results.begin() + i);
|
|
return res;
|
|
}
|
|
}
|
|
}
|
|
|
|
// should never reach here
|
|
}
|
|
|
|
// Register the function to update multitask
|
|
void on_multitask_update(callback_multitask_t callback) {
|
|
callback_update_multitask = callback;
|
|
}
|
|
|
|
// Send a new result to a waiting task_id
|
|
void send(task_result result) {
|
|
std::unique_lock<std::mutex> lock(mutex_results);
|
|
LOG_VERBOSE("send new result", {{"task_id", result.id}});
|
|
for (auto& task_id : waiting_task_ids) {
|
|
// LOG_TEE("waiting task id %i \n", task_id);
|
|
// for now, tasks that have associated parent multitasks just get erased once multitask picks up the result
|
|
if (result.multitask_id == task_id)
|
|
{
|
|
LOG_VERBOSE("callback_update_multitask", {{"task_id", task_id}});
|
|
callback_update_multitask(task_id, result.id, result);
|
|
continue;
|
|
}
|
|
|
|
if (result.id == task_id)
|
|
{
|
|
LOG_VERBOSE("queue_results.push_back", {{"task_id", task_id}});
|
|
queue_results.push_back(result);
|
|
condition_results.notify_all();
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
//
|
|
// base64 utils (TODO: move to common in the future)
|
|
//
|
|
|
|
static const std::string base64_chars =
|
|
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
|
|
"abcdefghijklmnopqrstuvwxyz"
|
|
"0123456789+/";
|
|
|
|
static inline bool is_base64(uint8_t c)
|
|
{
|
|
return (isalnum(c) || (c == '+') || (c == '/'));
|
|
}
|
|
|
|
static inline std::vector<uint8_t> base64_decode(const std::string & encoded_string)
|
|
{
|
|
int i = 0;
|
|
int j = 0;
|
|
int in_ = 0;
|
|
|
|
int in_len = encoded_string.size();
|
|
|
|
uint8_t char_array_4[4];
|
|
uint8_t char_array_3[3];
|
|
|
|
std::vector<uint8_t> ret;
|
|
|
|
while (in_len-- && (encoded_string[in_] != '=') && is_base64(encoded_string[in_]))
|
|
{
|
|
char_array_4[i++] = encoded_string[in_]; in_++;
|
|
if (i == 4)
|
|
{
|
|
for (i = 0; i <4; i++)
|
|
{
|
|
char_array_4[i] = base64_chars.find(char_array_4[i]);
|
|
}
|
|
|
|
char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
|
|
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
|
|
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
|
|
|
|
for (i = 0; (i < 3); i++)
|
|
{
|
|
ret.push_back(char_array_3[i]);
|
|
}
|
|
i = 0;
|
|
}
|
|
}
|
|
|
|
if (i)
|
|
{
|
|
for (j = i; j <4; j++)
|
|
{
|
|
char_array_4[j] = 0;
|
|
}
|
|
|
|
for (j = 0; j <4; j++)
|
|
{
|
|
char_array_4[j] = base64_chars.find(char_array_4[j]);
|
|
}
|
|
|
|
char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
|
|
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
|
|
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
|
|
|
|
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();
|
|
}
|
|
|
|
//
|
|
// other common utils
|
|
//
|
|
|
|
static size_t common_part(const std::vector<llama_token> &a, const std::vector<llama_token> &b)
|
|
{
|
|
size_t i;
|
|
for (i = 0; i < a.size() && i < b.size() && a[i] == b[i]; i++)
|
|
{
|
|
}
|
|
return i;
|
|
}
|
|
|
|
static bool ends_with(const std::string &str, const std::string &suffix)
|
|
{
|
|
return str.size() >= suffix.size() &&
|
|
0 == str.compare(str.size() - suffix.size(), suffix.size(), suffix);
|
|
}
|
|
|
|
static size_t find_partial_stop_string(const std::string &stop,
|
|
const std::string &text)
|
|
{
|
|
if (!text.empty() && !stop.empty())
|
|
{
|
|
const char text_last_char = text.back();
|
|
for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--)
|
|
{
|
|
if (stop[char_index] == text_last_char)
|
|
{
|
|
const std::string current_partial = stop.substr(0, char_index + 1);
|
|
if (ends_with(text, current_partial))
|
|
{
|
|
return text.size() - char_index - 1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return std::string::npos;
|
|
}
|
|
|
|
// TODO: reuse llama_detokenize
|
|
template <class Iter>
|
|
static std::string tokens_to_str(llama_context *ctx, Iter begin, Iter end)
|
|
{
|
|
std::string ret;
|
|
for (; begin != end; ++begin)
|
|
{
|
|
ret += llama_token_to_piece(ctx, *begin);
|
|
}
|
|
return ret;
|
|
}
|
|
|
|
// format incomplete utf-8 multibyte character for output
|
|
static std::string tokens_to_output_formatted_string(const llama_context *ctx, const llama_token token)
|
|
{
|
|
std::string out = token == -1 ? "" : llama_token_to_piece(ctx, token);
|
|
// if the size is 1 and first bit is 1, meaning it's a partial character
|
|
// (size > 1 meaning it's already a known token)
|
|
if (out.size() == 1 && (out[0] & 0x80) == 0x80)
|
|
{
|
|
std::stringstream ss;
|
|
ss << std::hex << (out[0] & 0xff);
|
|
std::string res(ss.str());
|
|
out = "byte: \\x" + res;
|
|
}
|
|
return out;
|
|
}
|
|
|
|
// convert a vector of completion_token_output to json
|
|
static json probs_vector_to_json(const llama_context *ctx, const std::vector<completion_token_output> &probs)
|
|
{
|
|
json out = json::array();
|
|
for (const auto &prob : probs)
|
|
{
|
|
json probs_for_token = json::array();
|
|
for (const auto &p : prob.probs)
|
|
{
|
|
std::string tok_str = tokens_to_output_formatted_string(ctx, p.tok);
|
|
probs_for_token.push_back(json
|
|
{
|
|
{"tok_str", tok_str},
|
|
{"prob", p.prob},
|
|
});
|
|
}
|
|
std::string tok_str = tokens_to_output_formatted_string(ctx, prob.tok);
|
|
out.push_back(json{
|
|
{"content", tok_str},
|
|
{"probs", probs_for_token},
|
|
});
|
|
}
|
|
return out;
|
|
}
|