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Author SHA1 Message Date
Bhavik ShardaandGitHub a035a88878 server: Adding spec-decode counters to /metrics endpoint (#26389)
* * server: add spec-decode counters to /metrics endpoint

* server: fixed review comments and now aligned param names exactly with vLLM.
2026-08-05 12:36:01 +02:00
020760adfc convert: Add endianness conversion for Q1 and TQ2 quantizations (#26618)
* Add endianness conversion for Q1 and TQ2 quantizations

* lint

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
2026-08-05 18:06:09 +08:00
5 changed files with 76 additions and 0 deletions
@@ -59,11 +59,29 @@ def byteswap_q6_k(tensor, block_offs):
delta.byteswap(inplace=True)
def byteswap_q1_0(tensor, block_offs):
# Each block_q1_0 consists of an f16 delta followed by 16 int8 quantizations.
# Byte-Swap f16 sized delta field
delta = tensor.data[block_offs:block_offs + 2].view(dtype=np.uint16)
delta.byteswap(inplace=True)
def byteswap_tq2_0(tensor, block_offs):
# Each block_tq2_0 consists of 64 int8 values followed by 1 f16 value.
# Byte-Swap f16 sized field
delta = tensor.data[block_offs + 64:block_offs + 66].view(dtype=np.uint16)
delta.byteswap(inplace=True)
byteswap_tensors = {
gguf.GGMLQuantizationType.Q1_0: byteswap_q1_0,
gguf.GGMLQuantizationType.Q4_0: byteswap_q4_0,
gguf.GGMLQuantizationType.Q8_0: byteswap_q8_0,
gguf.GGMLQuantizationType.Q4_K: byteswap_q4_k,
gguf.GGMLQuantizationType.Q6_K: byteswap_q6_k,
gguf.GGMLQuantizationType.TQ2_0: byteswap_tq2_0,
gguf.GGMLQuantizationType.MXFP4: byteswap_noop,
gguf.GGMLQuantizationType.NVFP4: byteswap_noop,
}
+4
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@@ -1076,6 +1076,10 @@ In *router mode* the query param `?model={model_id}` has to be set. This endpoin
| `llamacpp:n_tokens_max` | Counter | High watermark of the context size observed. |
| `llamacpp:n_decode_total` | Counter | Total Number of llama_decode() calls. |
| `llamacpp:n_busy_slots_per_decode` | Gauge | Average number of busy slots per llama_decode() call. |
| `llamacpp:spec_decode_num_draft_tokens_total` | Counter | Total draft tokens generated (0 when spec-decode is off). |
| `llamacpp:spec_decode_num_accepted_tokens_total` | Counter | Total draft tokens accepted by the target model (0 when spec-decode is off). |
| `llamacpp:spec_decode_num_drafts_total` | Counter | Total speculative decoding verification steps (0 when spec-decode is off). |
| `llamacpp:spec_decode_num_accepted_tokens_per_pos_total` | Counter | Accepted tokens per draft position (labeled `position="N"`; absent when spec-decode is off or before the first completed speculative request). |
### POST `/slots/{id_slot}?action=save`: Save the prompt cache of the specified slot to a file.
+44
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@@ -845,6 +845,11 @@ struct server_metrics {
uint64_t n_decode_total = 0;
uint64_t n_busy_slots_total = 0;
uint64_t n_draft_tokens_total = 0;
uint64_t n_draft_accepted_total = 0;
uint64_t n_draft_verif_steps_total = 0;
std::vector<uint64_t> n_accepted_per_pos_total;
void init() {
t_start = ggml_time_us();
}
@@ -863,6 +868,17 @@ struct server_metrics {
n_tokens_predicted += slot.n_decoded;
t_tokens_generation += slot.t_token_generation;
t_tokens_generation_total += slot.t_token_generation;
n_draft_tokens_total += slot.n_draft_total;
n_draft_accepted_total += slot.n_draft_accepted;
n_draft_verif_steps_total += slot.n_draft_verif_steps;
if (n_accepted_per_pos_total.size() < slot.n_accepted_per_pos.size()) {
n_accepted_per_pos_total.resize(slot.n_accepted_per_pos.size(), 0);
}
for (size_t i = 0; i < slot.n_accepted_per_pos.size(); i++) {
n_accepted_per_pos_total[i] += slot.n_accepted_per_pos[i];
}
}
void on_decoded(const std::vector<server_slot> & slots) {
@@ -2552,6 +2568,11 @@ private:
res->n_decode_total = metrics.n_decode_total;
res->n_busy_slots_total = metrics.n_busy_slots_total;
res->n_draft_tokens_total = metrics.n_draft_tokens_total;
res->n_draft_accepted_total = metrics.n_draft_accepted_total;
res->n_draft_verif_steps_total = metrics.n_draft_verif_steps_total;
res->n_accepted_per_pos_total = metrics.n_accepted_per_pos_total;
if (task.metrics_reset_bucket) {
metrics.reset_bucket();
}
@@ -4440,6 +4461,18 @@ void server_routes::init_routes() {
{"name", "n_tokens_max"},
{"help", "Largest observed n_tokens."},
{"value", res_task->n_tokens_max}
}, {
{"name", "spec_decode_num_draft_tokens_total"},
{"help", "Total draft tokens generated"},
{"value", res_task->n_draft_tokens_total}
}, {
{"name", "spec_decode_num_accepted_tokens_total"},
{"help", "Total draft tokens accepted by the target model"},
{"value", res_task->n_draft_accepted_total}
}, {
{"name", "spec_decode_num_drafts_total"},
{"help", "Total speculative decoding verification steps"},
{"value", res_task->n_draft_verif_steps_total}
}}},
{"gauge", {{
{"name", "prompt_tokens_seconds"},
@@ -4481,6 +4514,17 @@ void server_routes::init_routes() {
}
}
// labeled counter: one time series per draft position
if (!res_task->n_accepted_per_pos_total.empty()) {
prometheus << "# HELP llamacpp:spec_decode_num_accepted_tokens_per_pos_total"
" Accepted tokens per draft position\n"
<< "# TYPE llamacpp:spec_decode_num_accepted_tokens_per_pos_total counter\n";
for (size_t i = 0; i < res_task->n_accepted_per_pos_total.size(); i++) {
prometheus << "llamacpp:spec_decode_num_accepted_tokens_per_pos_total{position=\""
<< i << "\"} " << res_task->n_accepted_per_pos_total[i] << "\n";
}
}
res->headers["Process-Start-Time-Unix"] = std::to_string(res_task->t_start);
res->content_type = "text/plain; version=0.0.4";
res->status = 200;
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@@ -1560,6 +1560,11 @@ json server_task_result_metrics::to_json() {
{ "n_decode_total", n_decode_total },
{ "n_busy_slots_total", n_busy_slots_total },
{ "n_draft_tokens_total", n_draft_tokens_total },
{ "n_draft_accepted_total", n_draft_accepted_total },
{ "n_draft_verif_steps_total", n_draft_verif_steps_total },
{ "n_accepted_per_pos_total", n_accepted_per_pos_total },
{ "slots", slots_data },
};
}
+5
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@@ -532,6 +532,11 @@ struct server_task_result_metrics : server_task_result {
uint64_t n_decode_total = 0;
uint64_t n_busy_slots_total = 0;
uint64_t n_draft_tokens_total = 0;
uint64_t n_draft_accepted_total = 0;
uint64_t n_draft_verif_steps_total = 0;
std::vector<uint64_t> n_accepted_per_pos_total;
// while we can also use std::vector<server_slot> this requires copying the slot object which can be quite messy
// therefore, we use json to temporarily store the slot.to_json() result
json slots_data = json::array();