forked from ggml-org/llama.cpp
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathserver.cpp
More file actions
207 lines (175 loc) · 8.42 KB
/
server.cpp
File metadata and controls
207 lines (175 loc) · 8.42 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
#include "server-context.h"
#include "server-http.h"
#include "arg.h"
#include "common.h"
#include "llama.h"
#include "log.h"
#include <atomic>
#include <signal.h>
#include <thread> // for std::thread::hardware_concurrency
#if defined(_WIN32)
#include <windows.h>
#endif
static std::function<void(int)> shutdown_handler;
static std::atomic_flag is_terminating = ATOMIC_FLAG_INIT;
static inline void signal_handler(int signal) {
if (is_terminating.test_and_set()) {
// in case it hangs, we can force terminate the server by hitting Ctrl+C twice
// this is for better developer experience, we can remove when the server is stable enough
fprintf(stderr, "Received second interrupt, terminating immediately.\n");
exit(1);
}
shutdown_handler(signal);
}
// wrapper function that handles exceptions and logs errors
// this is to make sure handler_t never throws exceptions; instead, it returns an error response
static server_http_context::handler_t ex_wrapper(server_http_context::handler_t func) {
return [func = std::move(func)](const server_http_req & req) -> server_http_res_ptr {
std::string message;
try {
return func(req);
} catch (const std::exception & e) {
message = e.what();
} catch (...) {
message = "unknown error";
}
auto res = std::make_unique<server_http_res>();
res->status = 500;
try {
json error_data = format_error_response(message, ERROR_TYPE_SERVER);
res->status = json_value(error_data, "code", 500);
res->data = safe_json_to_str({{ "error", error_data }});
LOG_WRN("got exception: %s\n", res->data.c_str());
} catch (const std::exception & e) {
LOG_ERR("got another exception: %s | while hanlding exception: %s\n", e.what(), message.c_str());
res->data = "Internal Server Error";
}
return res;
};
}
int main(int argc, char ** argv) {
// own arguments required by this example
common_params params;
if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SERVER)) {
return 1;
}
// TODO: should we have a separate n_parallel parameter for the server?
// https://github.com/ggml-org/llama.cpp/pull/16736#discussion_r2483763177
// TODO: this is a common configuration that is suitable for most local use cases
// however, overriding the parameters is a bit confusing - figure out something more intuitive
if (params.n_parallel == 1 && params.kv_unified == false && !params.has_speculative()) {
LOG_WRN("%s: setting n_parallel = 4 and kv_unified = true (add -kvu to disable this)\n", __func__);
params.n_parallel = 4;
params.kv_unified = true;
}
common_init();
// struct that contains llama context and inference
server_context ctx_server;
llama_backend_init();
llama_numa_init(params.numa);
LOG_INF("system info: n_threads = %d, n_threads_batch = %d, total_threads = %d\n", params.cpuparams.n_threads, params.cpuparams_batch.n_threads, std::thread::hardware_concurrency());
LOG_INF("\n");
LOG_INF("%s\n", common_params_get_system_info(params).c_str());
LOG_INF("\n");
server_http_context ctx_http;
if (!ctx_http.init(params)) {
LOG_ERR("%s: failed to initialize HTTP server\n", __func__);
return 1;
}
//
// Router
//
// register API routes
server_routes routes(params, ctx_server, [&ctx_http]() { return ctx_http.is_ready.load(); });
ctx_http.get ("/health", ex_wrapper(routes.get_health)); // public endpoint (no API key check)
ctx_http.get ("/v1/health", ex_wrapper(routes.get_health)); // public endpoint (no API key check)
ctx_http.get ("/metrics", ex_wrapper(routes.get_metrics));
ctx_http.get ("/props", ex_wrapper(routes.get_props));
ctx_http.post("/props", ex_wrapper(routes.post_props));
ctx_http.post("/api/show", ex_wrapper(routes.get_api_show));
ctx_http.get ("/models", ex_wrapper(routes.get_models)); // public endpoint (no API key check)
ctx_http.get ("/v1/models", ex_wrapper(routes.get_models)); // public endpoint (no API key check)
ctx_http.get ("/api/tags", ex_wrapper(routes.get_models)); // ollama specific endpoint. public endpoint (no API key check)
ctx_http.post("/completion", ex_wrapper(routes.post_completions)); // legacy
ctx_http.post("/completions", ex_wrapper(routes.post_completions));
ctx_http.post("/v1/completions", ex_wrapper(routes.post_completions_oai));
ctx_http.post("/chat/completions", ex_wrapper(routes.post_chat_completions));
ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions));
ctx_http.post("/api/chat", ex_wrapper(routes.post_chat_completions)); // ollama specific endpoint
ctx_http.post("/v1/messages", ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
ctx_http.post("/v1/messages/count_tokens", ex_wrapper(routes.post_anthropic_count_tokens)); // anthropic token counting
ctx_http.post("/infill", ex_wrapper(routes.post_infill));
ctx_http.post("/embedding", ex_wrapper(routes.post_embeddings)); // legacy
ctx_http.post("/embeddings", ex_wrapper(routes.post_embeddings));
ctx_http.post("/v1/embeddings", ex_wrapper(routes.post_embeddings_oai));
ctx_http.post("/rerank", ex_wrapper(routes.post_rerank));
ctx_http.post("/reranking", ex_wrapper(routes.post_rerank));
ctx_http.post("/v1/rerank", ex_wrapper(routes.post_rerank));
ctx_http.post("/v1/reranking", ex_wrapper(routes.post_rerank));
ctx_http.post("/tokenize", ex_wrapper(routes.post_tokenize));
ctx_http.post("/detokenize", ex_wrapper(routes.post_detokenize));
ctx_http.post("/apply-template", ex_wrapper(routes.post_apply_template));
// LoRA adapters hotswap
ctx_http.get ("/lora-adapters", ex_wrapper(routes.get_lora_adapters));
ctx_http.post("/lora-adapters", ex_wrapper(routes.post_lora_adapters));
// Save & load slots
ctx_http.get ("/slots", ex_wrapper(routes.get_slots));
ctx_http.post("/slots/:id_slot", ex_wrapper(routes.post_slots));
//
// Start the server
//
// setup clean up function, to be called before exit
auto clean_up = [&ctx_http, &ctx_server]() {
SRV_INF("%s: cleaning up before exit...\n", __func__);
ctx_http.stop();
ctx_server.terminate();
llama_backend_free();
};
// start the HTTP server before loading the model to be able to serve /health requests
if (!ctx_http.start()) {
clean_up();
LOG_ERR("%s: exiting due to HTTP server error\n", __func__);
return 1;
}
// load the model
LOG_INF("%s: loading model\n", __func__);
if (!ctx_server.load_model(params)) {
clean_up();
if (ctx_http.thread.joinable()) {
ctx_http.thread.join();
}
LOG_ERR("%s: exiting due to model loading error\n", __func__);
return 1;
}
ctx_server.init();
ctx_http.is_ready.store(true);
LOG_INF("%s: model loaded\n", __func__);
shutdown_handler = [&](int) {
// this will unblock start_loop()
ctx_server.terminate();
};
// TODO: refactor in common/console
#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
struct sigaction sigint_action;
sigint_action.sa_handler = signal_handler;
sigemptyset (&sigint_action.sa_mask);
sigint_action.sa_flags = 0;
sigaction(SIGINT, &sigint_action, NULL);
sigaction(SIGTERM, &sigint_action, NULL);
#elif defined (_WIN32)
auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL {
return (ctrl_type == CTRL_C_EVENT) ? (signal_handler(SIGINT), true) : false;
};
SetConsoleCtrlHandler(reinterpret_cast<PHANDLER_ROUTINE>(console_ctrl_handler), true);
#endif
LOG_INF("%s: server is listening on %s\n", __func__, ctx_http.listening_address.c_str());
LOG_INF("%s: starting the main loop...\n", __func__);
// this call blocks the main thread until ctx_server.terminate() is called
ctx_server.start_loop();
clean_up();
if (ctx_http.thread.joinable()) {
ctx_http.thread.join();
}
llama_memory_breakdown_print(ctx_server.get_llama_context());
return 0;
}