llm-api

OpenAI-compatible LLM inference server using llama-cpp-2 (Rust).

Model: MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking (Q8_0)
Engine: llama.cpp via llama-cpp-2 crate
Domain: ai.asepharyana.my.id

API

`GET /health`

{"status": "ok", "model": "minicpm5-1b-fable5-v2-thinking", "uptime_s": 1234, "n_ctx": 8192, "version": "0.1.0"}

`GET /metrics`

Prometheus text exposition (no auth) — request counters, token usage, generation latency/throughput, process uptime:

llm_api_requests_total            # total /v1/chat/completions
llm_api_errors_total              # errored requests
llm_api_streaming_requests_total  # stream: true requests
llm_api_aborted_requests_total    # aborted generations (client disconnect)
llm_api_prompt_tokens_total       # prompt tokens accepted
llm_api_completion_tokens_total   # tokens generated
llm_api_generation_ms_total       # generation time (ms)
llm_api_tokens_per_second         # lifetime throughput gauge
llm_api_build_info{version,model} # identity

`GET /v1/models`

OpenAI-compatible model listing.

`POST /v1/chat/completions`

OpenAI-compatible chat completions.

The server serves a single model and rejects unknown model ids with 400:

curl https://ai.asepharyana.my.id/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minicpm5-1b-fable5-v2-thinking",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 100
  }'

Development

# Build
cargo build --release

# Run (with model path env var)
MODEL_PATH=/path/to/model.gguf ./target/release/llm-api

# Or use default path
./target/release/llm-api

Environment variables

Var	Default	Description
`MODEL_PATH`	`/models/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-Q8_0.gguf`	GGUF model file
`API_KEY`	(empty = auth off)	Bearer token required on `/v1/chat/completions`
`SERVER_PORT`	`4010`	Listen port
`RUST_LOG`	`info`	Log level
`N_CTX` / `N_BATCH` / `N_THREADS`	`8192` / `512` / `4`	llama.cpp context/batch/threads
`MAX_TOKENS`	`2048`	Hard cap untuk `max_tokens` request (0 = unlimited)

Smoke test (setelah deploy)

./scripts/smoke-test.sh http://127.0.0.1:4010        # tanpa auth
./scripts/smoke-test.sh https://ai.asepharyana.my.id "$API_KEY"

Deploy (Nix + systemd)

nix build .#default --impure --option sandbox false
# GitHub Actions: nix copy ssh://vps → systemctl restart llm-api

Legacy (2026-08-02): Docker compose dihapus dari produksi. Deploy sekarang Nix+systemd.

Benchmark

Historic (MiniCPM-V-4.6). Kept for reference; numbers predate the current MiniCPM5-1B Thinking model.

Framework	Model Size	tok/s	vs PyTorch
PyTorch BF16	2.48 GB	0.97	1.0x
llama.cpp Q4_K_M	505 MB	39.1	40.3x 🏆

Infrastructure

Caddy reverse proxy: ai.asepharyana.my.id → 127.0.0.1:4010
systemd unit llm-api, deploy Nix via GitHub Actions

3.1 KiB Raw Blame History

llm-api

API

GET /health

GET /metrics

GET /v1/models

POST /v1/chat/completions