llama-sidecar v0.1.0: daemon + benchmarks + eval suite

Go daemon (cmd/llama-sidecar): per-agent llama-server process pool with
LRU eviction, OpenAI-compatible proxy, flag validation (Unsloth port),
deterministic hash-keyed sidecar reuse. Windows service support via
schtasks/NSSM with DETACHED_PROCESS, stdout pipe drain, and request-ctx
decoupled child lifetime.

Bug fixes (3b.1–3b5): -c flag drop from StripShadowingFlags, UTF-8 BOM
in JSON config, -fa → --flash-attn on default, child process exit after
one request (stdin devnull, stdout pipe, CREATE_NO_WINDOW → DETACHED,
context.Background for child lifetime, background reaper goroutine).

bench/: MTP on/off throughput sweep across 8 GGUFs via SSH+schtasks
automation to sam-desktop. Per-GGUF production flags from llama-swap
config with --ctx-size 32768 override.

eval/: accuracy benchmarks (MMLU 100q, GSM8K 50q, HumanEval 164) +
A/B model comparison (14 agent-typed prompts × 8 models). All scripts
resumable at individual question level.

94 Go tests, race detector clean.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# llama-sidecar
Per-agent llama-server process pool daemon. Runs on sam-desktop alongside llama-swap. Spawns or reuses llama-server processes keyed on (modelID, flags) hash.
## License
AGPL-3.0-only.
The validator package (`internal/validator/`) is ported from [Unsloth Studio](https://github.com/unslothai/unsloth/blob/main/studio/backend/core/inference/llama_server_args.py) (AGPL-3.0). BooCode's TypeScript port (`apps/server/src/services/inference/llama-args-validator.ts`) is the sibling — update both when upstream changes.
## Build
```bash
# Linux (development)
make build
# Windows AMD64 (production target — cross-compile from Linux)
make build-windows
# Copy to sam-desktop
# scp bin/llama-sidecar.exe sam-desktop:C:\llama-sidecar\
```
## Configuration
All via environment variables (no CLI flags):
| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `LLAMA_SERVER_BIN` | yes | — | Path to llama-server.exe |
| `MODEL_DIR_MAP_FILE` | yes | — | JSON file mapping model IDs to GGUF paths |
| `LLAMA_SIDECAR_BIND` | no | `127.0.0.1:8402` | Listen address |
| `PORT_RANGE` | no | `8500-8599` | Port range for sidecar processes |
| `MAX_SIDECARS` | no | `2` | Max concurrent sidecar processes |
| `LOG_LEVEL` | no | `info` | Log level (debug, info, warn, error) |
| `BASE_ARGS` | no | `["-ngl","999","-c","32768","--flash-attn","on","--no-mmap"]` | JSON array of base llama-server args |
| `HEALTH_TIMEOUT_SECONDS` | no | `60` | Max wait for sidecar health check |
| `HEALTH_INTERVAL_SECONDS` | no | `30` | Background health check interval |
## API
### `GET /health`
Returns daemon status.
### `GET /sidecars`
Returns list of active sidecar processes.
### `DELETE /sidecars/{hash}`
Kill and remove a sidecar process.
### `POST /v1/chat/completions`
OpenAI-compatible proxy. Routes to a sidecar process based on model + flags.
Headers:
- `X-Agent-Flags: --top-k 20 --cache-type-k q8_0` (optional)
- `X-Model-Id: qwen3.6-35b-a3b-mxfp4` (optional, overrides body.model)
## Test
```bash
make test # unit tests
make test-integration # requires real llama-server + GGUF
make lint # vet + gofmt
```
## NSSM Service
Pre-configured on sam-desktop as `llama-sidecar`. Start/stop via:
```
C:\Tools\nssm\nssm.exe start llama-sidecar
C:\Tools\nssm\nssm.exe stop llama-sidecar
C:\Tools\nssm\nssm.exe status llama-sidecar
```