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"}

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

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